modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
vineetsharma/databricks-dolly-15k-pythia-70m-deduped | 2023-09-25T13:20:14.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | vineetsharma | null | null | vineetsharma/databricks-dolly-15k-pythia-70m-deduped | 0 | 2 | transformers | 2023-09-25T11:31:11 | ---
license: apache-2.0
base_model: EleutherAI/pythia-70m-deduped
tags:
- generated_from_trainer
model-index:
- name: pythia-70m-deduped-databricks-dolly-15k-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-70m-deduped-databricks-dolly-15k-v1
This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3362
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 22.5289 | 1.0 | 1501 | 10.2721 |
| 8.5659 | 2.0 | 3002 | 6.0637 |
| 6.1434 | 3.0 | 4503 | 5.6654 |
| 5.735 | 4.0 | 6004 | 5.5859 |
| 5.5524 | 5.0 | 7505 | 5.5399 |
| 5.4368 | 6.0 | 9006 | 5.5221 |
| 5.3728 | 7.0 | 10507 | 5.5221 |
| 5.2796 | 8.0 | 12008 | 5.5022 |
| 5.1963 | 9.0 | 13509 | 5.4812 |
| 5.1361 | 10.0 | 15010 | 5.4652 |
| 5.0767 | 11.0 | 16511 | 5.4530 |
| 5.014 | 12.0 | 18012 | 5.4161 |
| 4.9554 | 13.0 | 19513 | 5.3732 |
| 4.9044 | 14.0 | 21014 | 5.3763 |
| 4.8483 | 15.0 | 22515 | 5.3694 |
| 4.7916 | 16.0 | 24016 | 5.3432 |
| 4.7383 | 17.0 | 25517 | 5.3308 |
| 4.675 | 18.0 | 27018 | 5.3203 |
| 4.6223 | 19.0 | 28519 | 5.3429 |
| 4.5733 | 20.0 | 30020 | 5.3362 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 2,361 | [
[
-0.0318603515625,
-0.04693603515625,
0.00782012939453125,
-0.0033435821533203125,
-0.01560211181640625,
-0.01435089111328125,
0.007259368896484375,
-0.0039043426513671875,
0.0266876220703125,
0.0224456787109375,
-0.046600341796875,
-0.04095458984375,
-0.04937744140625,
-0.0141143798828125,
-0.0211944580078125,
0.06829833984375,
0.001476287841796875,
0.000006854534149169922,
-0.01041412353515625,
0.0007638931274414062,
-0.023406982421875,
-0.0251007080078125,
-0.047393798828125,
-0.042083740234375,
0.02288818359375,
0.0290679931640625,
0.06646728515625,
0.056732177734375,
0.03131103515625,
0.023040771484375,
-0.0328369140625,
-0.0015592575073242188,
-0.034088134765625,
-0.033660888671875,
0.00902557373046875,
-0.031097412109375,
-0.04644775390625,
0.0010232925415039062,
0.044342041015625,
0.03643798828125,
-0.00495147705078125,
0.041534423828125,
0.004505157470703125,
0.054473876953125,
-0.039581298828125,
0.00878143310546875,
-0.0258331298828125,
0.0192108154296875,
-0.006103515625,
-0.0179901123046875,
-0.0051422119140625,
-0.0160064697265625,
0.00942230224609375,
-0.04766845703125,
0.035858154296875,
-0.00209808349609375,
0.10467529296875,
0.0195770263671875,
-0.03216552734375,
0.01131439208984375,
-0.05126953125,
0.052337646484375,
-0.03704833984375,
0.01346588134765625,
0.040435791015625,
0.0200042724609375,
-0.0029621124267578125,
-0.052490234375,
-0.04229736328125,
0.016998291015625,
-0.01222991943359375,
0.00962066650390625,
-0.027374267578125,
-0.0167236328125,
0.048736572265625,
0.053863525390625,
-0.05255126953125,
0.005626678466796875,
-0.047637939453125,
-0.0185089111328125,
0.043609619140625,
0.034576416015625,
-0.00662994384765625,
-0.036529541015625,
-0.02398681640625,
-0.012115478515625,
-0.033477783203125,
0.017120361328125,
0.052154541015625,
0.0022830963134765625,
-0.034759521484375,
0.037628173828125,
-0.034576416015625,
0.0545654296875,
0.00662994384765625,
-0.008514404296875,
0.054840087890625,
-0.0020771026611328125,
-0.0423583984375,
0.0001583099365234375,
0.050262451171875,
0.044921875,
0.0035610198974609375,
0.01479339599609375,
-0.005802154541015625,
-0.0030574798583984375,
0.016204833984375,
-0.07098388671875,
-0.039794921875,
0.0288848876953125,
-0.042877197265625,
-0.04754638671875,
0.0033855438232421875,
-0.054840087890625,
0.0009469985961914062,
-0.034210205078125,
0.0347900390625,
-0.020904541015625,
-0.031402587890625,
-0.0009965896606445312,
-0.005596160888671875,
0.02423095703125,
0.01849365234375,
-0.064697265625,
0.013763427734375,
0.030120849609375,
0.062469482421875,
0.0182342529296875,
-0.01499176025390625,
-0.00849151611328125,
0.006561279296875,
-0.025177001953125,
0.043212890625,
-0.004657745361328125,
-0.0276031494140625,
-0.01285552978515625,
0.026214599609375,
-0.0134124755859375,
-0.031707763671875,
0.048828125,
-0.02423095703125,
0.01470184326171875,
-0.021392822265625,
-0.0311126708984375,
-0.035247802734375,
0.03875732421875,
-0.054840087890625,
0.0911865234375,
0.019744873046875,
-0.06866455078125,
0.04296875,
-0.0240936279296875,
0.0034694671630859375,
-0.005619049072265625,
-0.001705169677734375,
-0.07049560546875,
-0.01132965087890625,
0.020111083984375,
0.033538818359375,
-0.029754638671875,
0.018585205078125,
-0.00975799560546875,
-0.037261962890625,
-0.00846099853515625,
-0.040435791015625,
0.0703125,
0.01483154296875,
-0.04534912109375,
0.01284027099609375,
-0.09100341796875,
0.01947021484375,
0.0246429443359375,
-0.0300750732421875,
0.004535675048828125,
-0.030242919921875,
0.023284912109375,
0.016265869140625,
0.0117950439453125,
-0.031982421875,
0.01342010498046875,
-0.0201416015625,
0.0291748046875,
0.05108642578125,
0.0002951622009277344,
0.01438140869140625,
-0.047088623046875,
0.02679443359375,
0.0222930908203125,
0.022796630859375,
0.0099639892578125,
-0.035491943359375,
-0.067138671875,
-0.0305938720703125,
0.01097869873046875,
0.0220947265625,
-0.0163116455078125,
0.050262451171875,
-0.01131439208984375,
-0.057281494140625,
-0.0227508544921875,
-0.00989532470703125,
0.01934814453125,
0.048309326171875,
0.0292205810546875,
-0.0021533966064453125,
-0.0374755859375,
-0.0836181640625,
0.002422332763671875,
-0.007747650146484375,
0.015594482421875,
0.015350341796875,
0.0679931640625,
-0.0146484375,
0.06182861328125,
-0.043365478515625,
-0.0182342529296875,
-0.01461029052734375,
0.0022983551025390625,
0.0440673828125,
0.058074951171875,
0.048797607421875,
-0.052703857421875,
-0.0304718017578125,
-0.0013113021850585938,
-0.05474853515625,
0.026336669921875,
-0.010162353515625,
-0.0222015380859375,
-0.002124786376953125,
0.01006317138671875,
-0.05242919921875,
0.0711669921875,
0.03753662109375,
-0.03912353515625,
0.06695556640625,
-0.0279541015625,
0.0178680419921875,
-0.082275390625,
0.03326416015625,
-0.0022792816162109375,
-0.022979736328125,
-0.0303802490234375,
-0.007564544677734375,
0.007663726806640625,
-0.0158538818359375,
-0.026214599609375,
0.043243408203125,
-0.0223388671875,
0.00241851806640625,
-0.006134033203125,
-0.0197906494140625,
0.00594329833984375,
0.053436279296875,
0.004268646240234375,
0.042144775390625,
0.05670166015625,
-0.044342041015625,
0.0384521484375,
0.0312347412109375,
-0.04449462890625,
0.042022705078125,
-0.054473876953125,
0.004665374755859375,
-0.00299072265625,
0.0009703636169433594,
-0.062286376953125,
-0.0251617431640625,
0.0287628173828125,
-0.0298309326171875,
0.016571044921875,
-0.02679443359375,
-0.01129913330078125,
-0.050689697265625,
-0.0217132568359375,
0.0249481201171875,
0.03314208984375,
-0.036041259765625,
0.0411376953125,
-0.0005807876586914062,
0.02130126953125,
-0.04583740234375,
-0.055023193359375,
-0.0159149169921875,
-0.0255889892578125,
-0.044769287109375,
0.033416748046875,
0.0140228271484375,
-0.007488250732421875,
0.006710052490234375,
-0.0070037841796875,
-0.00719451904296875,
-0.000002682209014892578,
0.033355712890625,
0.019012451171875,
-0.004364013671875,
-0.01299285888671875,
-0.00534820556640625,
-0.027008056640625,
0.00571441650390625,
-0.004055023193359375,
0.055389404296875,
-0.00897216796875,
-0.03167724609375,
-0.07122802734375,
-0.005863189697265625,
0.050994873046875,
-0.0162353515625,
0.06988525390625,
0.04730224609375,
-0.042877197265625,
0.01038360595703125,
-0.031890869140625,
-0.006687164306640625,
-0.0310516357421875,
0.0452880859375,
-0.043365478515625,
-0.018096923828125,
0.06591796875,
0.0029048919677734375,
0.01025390625,
0.0638427734375,
0.046234130859375,
0.004932403564453125,
0.0771484375,
0.0099639892578125,
-0.00241851806640625,
0.0198516845703125,
-0.083740234375,
-0.0026912689208984375,
-0.060455322265625,
-0.045074462890625,
-0.0380859375,
-0.043548583984375,
-0.045745849609375,
-0.00772857666015625,
0.013671875,
0.01129913330078125,
-0.060028076171875,
0.018310546875,
-0.044525146484375,
0.025054931640625,
0.055419921875,
0.036956787109375,
0.007694244384765625,
0.005382537841796875,
-0.01326751708984375,
-0.005100250244140625,
-0.05914306640625,
-0.031494140625,
0.0926513671875,
0.0250701904296875,
0.045745849609375,
-0.0010671615600585938,
0.05303955078125,
0.0017919540405273438,
-0.0011816024780273438,
-0.043182373046875,
0.0195159912109375,
0.0161590576171875,
-0.07080078125,
-0.01373291015625,
-0.039825439453125,
-0.06976318359375,
0.0249176025390625,
-0.018768310546875,
-0.058807373046875,
0.031768798828125,
0.0242156982421875,
-0.03631591796875,
0.047882080078125,
-0.0275421142578125,
0.08056640625,
-0.00658416748046875,
-0.036224365234375,
-0.0173797607421875,
-0.0310516357421875,
0.0168609619140625,
0.01026153564453125,
-0.0006623268127441406,
-0.007366180419921875,
0.02777099609375,
0.0723876953125,
-0.049835205078125,
0.0325927734375,
-0.01406097412109375,
0.0254058837890625,
0.032745361328125,
0.0025806427001953125,
0.0518798828125,
0.0225372314453125,
-0.00937652587890625,
-0.0020751953125,
0.00827789306640625,
-0.0517578125,
-0.028350830078125,
0.06463623046875,
-0.08349609375,
-0.034088134765625,
-0.04937744140625,
-0.04449462890625,
0.017608642578125,
0.01245880126953125,
0.043060302734375,
0.05780029296875,
-0.0007967948913574219,
0.0193023681640625,
0.04144287109375,
-0.00794219970703125,
0.0350341796875,
0.01120758056640625,
-0.0077972412109375,
-0.04742431640625,
0.0552978515625,
-0.0001437664031982422,
0.01666259765625,
-0.0032215118408203125,
0.01245880126953125,
-0.02569580078125,
-0.0243377685546875,
-0.041046142578125,
0.01197052001953125,
-0.045196533203125,
-0.0207977294921875,
-0.035369873046875,
-0.0159149169921875,
-0.0298919677734375,
-0.01641845703125,
-0.036407470703125,
-0.031982421875,
-0.039215087890625,
-0.0179901123046875,
0.0418701171875,
0.036285400390625,
0.0015764236450195312,
0.0322265625,
-0.04742431640625,
-0.0009560585021972656,
0.01544189453125,
0.007511138916015625,
0.01100921630859375,
-0.06329345703125,
-0.0211639404296875,
-0.0004343986511230469,
-0.041656494140625,
-0.05584716796875,
0.04998779296875,
-0.001949310302734375,
0.043243408203125,
0.03692626953125,
-0.016021728515625,
0.07427978515625,
-0.003276824951171875,
0.05413818359375,
0.0263671875,
-0.04913330078125,
0.03912353515625,
-0.0225982666015625,
0.03204345703125,
0.04364013671875,
0.032318115234375,
-0.0269775390625,
-0.0009908676147460938,
-0.0849609375,
-0.0621337890625,
0.06414794921875,
0.030548095703125,
0.0012636184692382812,
0.0152587890625,
0.027008056640625,
-0.02276611328125,
0.0174407958984375,
-0.059783935546875,
-0.04534912109375,
-0.0147857666015625,
-0.01030731201171875,
0.00433349609375,
-0.01161956787109375,
-0.01007843017578125,
-0.050201416015625,
0.07098388671875,
0.0101165771484375,
0.0248260498046875,
0.0178985595703125,
-0.0014066696166992188,
-0.0171051025390625,
-0.01032257080078125,
0.034881591796875,
0.06976318359375,
-0.035980224609375,
-0.0011425018310546875,
0.0093994140625,
-0.0428466796875,
0.00791168212890625,
0.01444244384765625,
-0.02593994140625,
0.005767822265625,
0.0282745361328125,
0.0643310546875,
0.007015228271484375,
-0.0017452239990234375,
0.0300445556640625,
0.00629425048828125,
-0.0308837890625,
-0.0345458984375,
-0.0077972412109375,
-0.0043182373046875,
0.023681640625,
0.02783203125,
0.0243072509765625,
-0.000812530517578125,
-0.0311431884765625,
0.01181793212890625,
0.0177459716796875,
-0.037567138671875,
-0.014678955078125,
0.06048583984375,
-0.0006680488586425781,
-0.01678466796875,
0.0653076171875,
-0.00792694091796875,
-0.04034423828125,
0.0782470703125,
0.0231475830078125,
0.054229736328125,
-0.020355224609375,
0.007282257080078125,
0.07916259765625,
0.016693115234375,
-0.0026950836181640625,
0.036102294921875,
0.0160675048828125,
-0.0203399658203125,
-0.0024585723876953125,
-0.052947998046875,
-0.005992889404296875,
0.041168212890625,
-0.0736083984375,
0.04730224609375,
-0.027130126953125,
-0.0283050537109375,
-0.00494384765625,
0.0141143798828125,
-0.07586669921875,
0.044921875,
-0.00482177734375,
0.07122802734375,
-0.06915283203125,
0.0478515625,
0.04412841796875,
-0.034332275390625,
-0.07647705078125,
-0.0265045166015625,
-0.006076812744140625,
-0.053802490234375,
0.04296875,
0.018035888671875,
0.02734375,
0.01361846923828125,
-0.02752685546875,
-0.06787109375,
0.0987548828125,
0.0035343170166015625,
-0.056396484375,
0.00577545166015625,
0.0127716064453125,
0.024993896484375,
0.0034046173095703125,
0.045867919921875,
0.040283203125,
0.024993896484375,
0.013214111328125,
-0.0660400390625,
0.003719329833984375,
-0.0263519287109375,
-0.0069122314453125,
0.026641845703125,
-0.056976318359375,
0.08563232421875,
-0.00972747802734375,
0.0255126953125,
0.01247406005859375,
0.048736572265625,
0.0231170654296875,
0.018310546875,
0.03082275390625,
0.08038330078125,
0.0562744140625,
-0.0199737548828125,
0.073486328125,
-0.030426025390625,
0.06903076171875,
0.062347412109375,
0.0196380615234375,
0.0401611328125,
0.033447265625,
-0.0310211181640625,
0.03033447265625,
0.0723876953125,
-0.0157623291015625,
0.034576416015625,
0.0110321044921875,
-0.01282501220703125,
-0.02587890625,
0.0226898193359375,
-0.052154541015625,
0.0241241455078125,
0.0052337646484375,
-0.050140380859375,
-0.0223388671875,
-0.0179595947265625,
0.00406646728515625,
-0.019287109375,
-0.03961181640625,
0.023468017578125,
-0.0234527587890625,
-0.016815185546875,
0.05731201171875,
0.00113677978515625,
0.0255889892578125,
-0.039215087890625,
-0.00318145751953125,
-0.01068878173828125,
0.031097412109375,
-0.044891357421875,
-0.048614501953125,
0.0186920166015625,
-0.003124237060546875,
-0.01126861572265625,
0.006805419921875,
0.0310516357421875,
-0.00860595703125,
-0.06256103515625,
-0.0014352798461914062,
0.0181427001953125,
0.0107574462890625,
-0.003276824951171875,
-0.05780029296875,
-0.00873565673828125,
0.0036907196044921875,
-0.058135986328125,
0.010467529296875,
0.0225677490234375,
0.0018596649169921875,
0.038116455078125,
0.045867919921875,
-0.006072998046875,
0.0109710693359375,
-0.0055389404296875,
0.08575439453125,
-0.04351806640625,
-0.04705810546875,
-0.059906005859375,
0.039703369140625,
-0.0170440673828125,
-0.0667724609375,
0.05206298828125,
0.0792236328125,
0.04986572265625,
-0.00968170166015625,
0.034149169921875,
-0.0212860107421875,
0.022430419921875,
-0.035797119140625,
0.04937744140625,
-0.048309326171875,
-0.010467529296875,
-0.020751953125,
-0.07525634765625,
-0.01557159423828125,
0.06427001953125,
-0.034332275390625,
0.008392333984375,
0.042877197265625,
0.0657958984375,
0.00003463029861450195,
0.0081787109375,
0.01027679443359375,
-0.00170135498046875,
0.0163726806640625,
0.044586181640625,
0.046417236328125,
-0.06787109375,
0.03863525390625,
-0.05352783203125,
-0.0110626220703125,
-0.006427764892578125,
-0.046478271484375,
-0.0654296875,
-0.0284271240234375,
-0.045135498046875,
-0.03668212890625,
-0.01190185546875,
0.07025146484375,
0.05914306640625,
-0.051788330078125,
-0.01358795166015625,
-0.013580322265625,
-0.0115203857421875,
-0.023773193359375,
-0.0159149169921875,
0.05963134765625,
0.009429931640625,
-0.068359375,
-0.01377105712890625,
-0.01552581787109375,
0.023468017578125,
-0.016937255859375,
-0.01220703125,
-0.02410888671875,
-0.024810791015625,
0.007595062255859375,
0.00244140625,
-0.02593994140625,
-0.01375579833984375,
-0.013092041015625,
-0.0022525787353515625,
0.01934814453125,
0.027191162109375,
-0.046112060546875,
0.0233001708984375,
0.035003662109375,
0.01253509521484375,
0.070068359375,
0.0008025169372558594,
0.0106658935546875,
-0.03704833984375,
0.034881591796875,
0.01253509521484375,
0.026519775390625,
0.01293182373046875,
-0.032073974609375,
0.03662109375,
0.03863525390625,
-0.052154541015625,
-0.06201171875,
-0.0124359130859375,
-0.06854248046875,
0.0020751953125,
0.082763671875,
-0.006427764892578125,
-0.041534423828125,
0.00330352783203125,
-0.0169677734375,
0.016937255859375,
-0.01495361328125,
0.0474853515625,
0.04913330078125,
-0.0030517578125,
0.00843048095703125,
-0.0450439453125,
0.03692626953125,
0.0180816650390625,
-0.0504150390625,
-0.009552001953125,
0.0248870849609375,
0.0281829833984375,
0.016632080078125,
0.0272369384765625,
-0.01263427734375,
0.03167724609375,
0.0213165283203125,
0.01059722900390625,
-0.024169921875,
-0.0208282470703125,
-0.020294189453125,
0.003814697265625,
0.0009560585021972656,
-0.0418701171875
]
] |
krabhi/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-25T13:19:27.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | krabhi | null | null | krabhi/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-25T11:40:09 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 646.50 +/- 167.00
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga krabhi -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga krabhi -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga krabhi
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,753 | [
[
-0.04345703125,
-0.038604736328125,
0.01824951171875,
0.0250244140625,
-0.0115509033203125,
-0.016387939453125,
0.01076507568359375,
-0.01275634765625,
0.01336669921875,
0.0209503173828125,
-0.07220458984375,
-0.033447265625,
-0.02459716796875,
-0.00457763671875,
-0.0002605915069580078,
0.0738525390625,
-0.00414276123046875,
0.0096893310546875,
-0.0156707763671875,
-0.015533447265625,
-0.0252227783203125,
-0.020599365234375,
-0.051239013671875,
-0.030975341796875,
0.00984954833984375,
0.01184844970703125,
0.060882568359375,
0.07061767578125,
0.039825439453125,
0.0274200439453125,
-0.0097198486328125,
-0.0030498504638671875,
-0.029296875,
-0.0030498504638671875,
0.003631591796875,
-0.017578125,
-0.02716064453125,
-0.01166534423828125,
0.052764892578125,
0.0062255859375,
-0.0185546875,
0.018951416015625,
-0.0185394287109375,
0.031585693359375,
-0.040679931640625,
0.036224365234375,
-0.00807952880859375,
0.032196044921875,
0.003574371337890625,
-0.00811004638671875,
0.003940582275390625,
-0.00594329833984375,
-0.0020751953125,
-0.0853271484375,
0.01275634765625,
0.0041351318359375,
0.1015625,
0.039794921875,
-0.02191162109375,
0.007167816162109375,
-0.04620361328125,
0.051605224609375,
-0.07012939453125,
0.037567138671875,
0.0186920166015625,
0.033203125,
-0.01439666748046875,
-0.06561279296875,
-0.035186767578125,
-0.017120361328125,
0.004810333251953125,
0.0243377685546875,
-0.00739288330078125,
-0.00433349609375,
0.052978515625,
0.00339508056640625,
-0.04522705078125,
0.00860595703125,
-0.037200927734375,
-0.0158538818359375,
0.031951904296875,
0.0419921875,
0.00859832763671875,
-0.01378631591796875,
-0.0345458984375,
-0.043426513671875,
-0.0250701904296875,
0.034576416015625,
0.01448822021484375,
0.0126800537109375,
-0.028564453125,
0.042877197265625,
-0.037628173828125,
0.03680419921875,
0.01050567626953125,
-0.0164794921875,
0.025726318359375,
-0.0225372314453125,
-0.0174407958984375,
-0.0288543701171875,
0.0638427734375,
0.04803466796875,
-0.01288604736328125,
0.0201416015625,
-0.0238800048828125,
-0.019012451171875,
0.007541656494140625,
-0.06500244140625,
-0.02423095703125,
0.041229248046875,
-0.024017333984375,
-0.004119873046875,
-0.00514984130859375,
-0.057586669921875,
-0.0079345703125,
-0.0075225830078125,
0.03173828125,
-0.04583740234375,
-0.01467132568359375,
-0.0004017353057861328,
-0.0287628173828125,
0.045440673828125,
0.0211639404296875,
-0.06036376953125,
0.02862548828125,
0.03466796875,
0.05792236328125,
0.00724029541015625,
-0.048828125,
-0.02850341796875,
0.015289306640625,
-0.0291748046875,
0.049285888671875,
0.0011873245239257812,
-0.023101806640625,
0.0016450881958007812,
0.0115966796875,
-0.004474639892578125,
-0.033355712890625,
0.0253753662109375,
-0.049224853515625,
0.00887298583984375,
-0.00868988037109375,
-0.034576416015625,
-0.02508544921875,
0.038482666015625,
-0.055999755859375,
0.08837890625,
0.01190185546875,
-0.058685302734375,
0.035491943359375,
-0.0518798828125,
-0.0031604766845703125,
0.018646240234375,
-0.001827239990234375,
-0.059112548828125,
-0.033111572265625,
0.01427459716796875,
0.039703369140625,
0.017181396484375,
0.00984954833984375,
-0.03466796875,
-0.024566650390625,
0.01029205322265625,
0.0030612945556640625,
0.06817626953125,
0.0103912353515625,
-0.0294189453125,
0.0170135498046875,
-0.061126708984375,
0.0157928466796875,
0.0161590576171875,
-0.039886474609375,
0.007137298583984375,
-0.004329681396484375,
0.0171661376953125,
0.0267333984375,
0.0253143310546875,
-0.026519775390625,
0.00917816162109375,
-0.027679443359375,
0.03424072265625,
0.03802490234375,
0.0196990966796875,
0.0150299072265625,
-0.022247314453125,
0.038909912109375,
0.0143585205078125,
0.023681640625,
0.0171661376953125,
-0.024169921875,
-0.04010009765625,
-0.021270751953125,
-0.0032787322998046875,
0.031494140625,
-0.05792236328125,
0.0362548828125,
-0.01071929931640625,
-0.041351318359375,
-0.016845703125,
-0.0090789794921875,
0.0305938720703125,
0.0151519775390625,
0.036376953125,
0.00966644287109375,
-0.045684814453125,
-0.064208984375,
0.00826263427734375,
-0.01248931884765625,
0.0128021240234375,
0.03558349609375,
0.079345703125,
-0.028411865234375,
0.056396484375,
-0.037872314453125,
-0.016937255859375,
-0.0075225830078125,
-0.0201873779296875,
0.0223236083984375,
0.055999755859375,
0.0489501953125,
-0.042236328125,
-0.0285797119140625,
-0.005100250244140625,
-0.07415771484375,
0.037811279296875,
0.0015745162963867188,
-0.0094757080078125,
0.0061187744140625,
0.03369140625,
-0.07086181640625,
0.032745361328125,
0.017333984375,
-0.02301025390625,
0.050201416015625,
-0.027679443359375,
0.00844573974609375,
-0.0682373046875,
0.0132904052734375,
0.006988525390625,
-0.0125885009765625,
-0.023895263671875,
0.03826904296875,
0.00475311279296875,
-0.0205841064453125,
-0.06353759765625,
0.05438232421875,
-0.027313232421875,
-0.007144927978515625,
0.0002079010009765625,
-0.00473785400390625,
-0.00316619873046875,
0.052154541015625,
0.0130767822265625,
0.04559326171875,
0.0628662109375,
-0.0601806640625,
0.04644775390625,
0.030242919921875,
-0.0106048583984375,
0.00927734375,
-0.049041748046875,
-0.01007080078125,
-0.00107574462890625,
0.03515625,
-0.0565185546875,
-0.04034423828125,
0.04425048828125,
-0.03607177734375,
0.00812530517578125,
-0.0205230712890625,
-0.017730712890625,
-0.03662109375,
-0.0232696533203125,
0.0264892578125,
0.0306854248046875,
-0.041717529296875,
0.02716064453125,
0.0212249755859375,
0.01678466796875,
-0.060516357421875,
-0.03350830078125,
-0.00899505615234375,
-0.0307159423828125,
-0.039459228515625,
0.0171356201171875,
-0.0095977783203125,
-0.0120849609375,
0.01605224609375,
-0.007678985595703125,
-0.00919342041015625,
0.0093231201171875,
0.0189361572265625,
0.022674560546875,
-0.0274658203125,
-0.03533935546875,
-0.0215301513671875,
-0.007236480712890625,
0.0281219482421875,
-0.0211181640625,
0.0259857177734375,
-0.0215911865234375,
-0.00731658935546875,
-0.047149658203125,
-0.00601959228515625,
0.044830322265625,
0.0021686553955078125,
0.06243896484375,
0.05853271484375,
-0.043243408203125,
-0.02130126953125,
-0.01242828369140625,
-0.01525115966796875,
-0.033782958984375,
0.04302978515625,
-0.0267333984375,
-0.040283203125,
0.056427001953125,
0.008636474609375,
0.01474761962890625,
0.04620361328125,
0.0243988037109375,
-0.01320648193359375,
0.0865478515625,
0.039764404296875,
0.00412750244140625,
0.0379638671875,
-0.0677490234375,
-0.025115966796875,
-0.063720703125,
-0.03387451171875,
-0.03680419921875,
0.004329681396484375,
-0.032989501953125,
-0.033935546875,
0.030303955078125,
0.00899505615234375,
-0.051605224609375,
0.0305328369140625,
-0.0212249755859375,
0.03692626953125,
0.02850341796875,
0.00962066650390625,
-0.018310546875,
0.0036220550537109375,
-0.026611328125,
-0.0084228515625,
-0.0643310546875,
-0.020538330078125,
0.06646728515625,
0.0390625,
0.058929443359375,
0.0097503662109375,
0.04638671875,
0.012969970703125,
-0.005462646484375,
-0.046661376953125,
0.0391845703125,
0.013580322265625,
-0.057159423828125,
-0.036773681640625,
-0.0233001708984375,
-0.05841064453125,
0.034393310546875,
-0.0208740234375,
-0.0518798828125,
0.0120086669921875,
0.00885772705078125,
-0.046600341796875,
0.017242431640625,
-0.0189361572265625,
0.07623291015625,
-0.0108184814453125,
-0.046600341796875,
-0.006195068359375,
-0.054779052734375,
0.0498046875,
0.0145416259765625,
0.0087890625,
0.004985809326171875,
-0.00933074951171875,
0.0701904296875,
-0.051849365234375,
0.04248046875,
-0.043670654296875,
0.02374267578125,
0.032958984375,
0.003917694091796875,
0.03387451171875,
0.037384033203125,
0.00681304931640625,
0.00859832763671875,
0.014129638671875,
-0.03826904296875,
-0.03277587890625,
0.054229736328125,
-0.10394287109375,
-0.036041259765625,
-0.051971435546875,
-0.0273590087890625,
-0.0028476715087890625,
0.019805908203125,
0.0184783935546875,
0.02752685546875,
-0.01727294921875,
0.0241241455078125,
0.0548095703125,
-0.0200653076171875,
0.035797119140625,
0.04345703125,
-0.016937255859375,
-0.050048828125,
0.0579833984375,
-0.00846099853515625,
-0.0018815994262695312,
0.0135040283203125,
-0.0004944801330566406,
-0.04608154296875,
-0.034942626953125,
-0.054168701171875,
0.013763427734375,
-0.058197021484375,
-0.021392822265625,
-0.05194091796875,
-0.046478271484375,
-0.03558349609375,
-0.000029742717742919922,
-0.03509521484375,
-0.021240234375,
-0.0286712646484375,
-0.00677490234375,
0.0303802490234375,
0.043426513671875,
-0.0335693359375,
0.0306854248046875,
-0.05364990234375,
0.0270233154296875,
0.0233001708984375,
0.009246826171875,
-0.0034618377685546875,
-0.05084228515625,
-0.043487548828125,
0.006153106689453125,
-0.037017822265625,
-0.04345703125,
0.05401611328125,
0.0006794929504394531,
0.06201171875,
0.033538818359375,
-0.02032470703125,
0.0673828125,
-0.0190582275390625,
0.07159423828125,
0.003604888916015625,
-0.050628662109375,
0.03668212890625,
-0.041900634765625,
0.0175323486328125,
0.0254974365234375,
0.04022216796875,
-0.024139404296875,
-0.009307861328125,
-0.06060791015625,
-0.061309814453125,
0.08404541015625,
0.01708984375,
-0.01483917236328125,
0.0168609619140625,
0.03399658203125,
-0.0214385986328125,
-0.003650665283203125,
-0.0819091796875,
-0.027008056640625,
-0.040863037109375,
0.0234222412109375,
-0.0193634033203125,
0.022674560546875,
-0.0222015380859375,
-0.0272216796875,
0.078369140625,
-0.0124053955078125,
0.0227813720703125,
0.021881103515625,
-0.0024700164794921875,
-0.028411865234375,
-0.017608642578125,
0.049713134765625,
0.032684326171875,
-0.047271728515625,
-0.025360107421875,
0.01294708251953125,
-0.0281982421875,
0.02191162109375,
0.0172271728515625,
-0.0085296630859375,
-0.00875091552734375,
0.031768798828125,
0.06866455078125,
0.02178955078125,
-0.0276947021484375,
0.041900634765625,
-0.020416259765625,
-0.035064697265625,
-0.03515625,
0.0174102783203125,
0.00853729248046875,
0.030181884765625,
0.01151275634765625,
0.024139404296875,
0.00040531158447265625,
-0.02191162109375,
0.0089569091796875,
0.0301055908203125,
-0.033599853515625,
-0.0159759521484375,
0.07305908203125,
-0.002635955810546875,
-0.0176849365234375,
0.06414794921875,
-0.01055908203125,
-0.03167724609375,
0.08648681640625,
0.03839111328125,
0.056182861328125,
0.005878448486328125,
0.019989013671875,
0.061767578125,
0.01204681396484375,
-0.022796630859375,
0.0193939208984375,
0.0024662017822265625,
-0.05938720703125,
-0.0138092041015625,
-0.042724609375,
-0.03851318359375,
0.0364990234375,
-0.059906005859375,
0.020660400390625,
-0.048553466796875,
-0.0118408203125,
-0.00670623779296875,
0.0303497314453125,
-0.0601806640625,
0.01885986328125,
0.01290130615234375,
0.08551025390625,
-0.06463623046875,
0.06011962890625,
0.07574462890625,
-0.04608154296875,
-0.06988525390625,
-0.005519866943359375,
-0.0016689300537109375,
-0.049041748046875,
0.0518798828125,
-0.003505706787109375,
0.01061248779296875,
0.0171356201171875,
-0.06268310546875,
-0.08953857421875,
0.10394287109375,
-0.0095977783203125,
-0.0193023681640625,
0.0135650634765625,
-0.00235748291015625,
0.04644775390625,
-0.025726318359375,
0.02911376953125,
0.022247314453125,
0.04058837890625,
0.006504058837890625,
-0.03558349609375,
0.0027675628662109375,
-0.0240631103515625,
0.003326416015625,
-0.01041412353515625,
-0.074462890625,
0.088134765625,
-0.0242919921875,
-0.002124786376953125,
0.01517486572265625,
0.06488037109375,
0.061431884765625,
0.01044464111328125,
0.033203125,
0.057586669921875,
0.028900146484375,
0.00568389892578125,
0.05780029296875,
-0.03350830078125,
0.043426513671875,
0.0491943359375,
-0.026123046875,
0.05316162109375,
0.016082763671875,
-0.018463134765625,
0.03631591796875,
0.06597900390625,
-0.02606201171875,
0.04266357421875,
0.01345062255859375,
0.0030384063720703125,
-0.018829345703125,
0.0251007080078125,
-0.0439453125,
0.01239013671875,
0.029632568359375,
0.01435089111328125,
-0.0205230712890625,
-0.004665374755859375,
-0.0140228271484375,
-0.0233154296875,
-0.0195465087890625,
0.060333251953125,
-0.00811004638671875,
-0.058197021484375,
0.06402587890625,
0.008270263671875,
0.032806396484375,
-0.052215576171875,
-0.01457977294921875,
-0.0258026123046875,
0.02691650390625,
-0.019683837890625,
-0.054718017578125,
-0.00015032291412353516,
-0.01146697998046875,
-0.004322052001953125,
0.003322601318359375,
0.040313720703125,
-0.00791168212890625,
-0.017242431640625,
0.032470703125,
0.03607177734375,
0.0262298583984375,
0.018096923828125,
-0.0828857421875,
-0.006755828857421875,
-0.003662109375,
-0.036865234375,
0.035308837890625,
0.035308837890625,
-0.0001767873764038086,
0.0687255859375,
0.045257568359375,
-0.004940032958984375,
0.0158843994140625,
-0.017425537109375,
0.07415771484375,
-0.06689453125,
-0.045257568359375,
-0.038818359375,
0.0418701171875,
0.0097503662109375,
-0.043670654296875,
0.05792236328125,
0.0673828125,
0.0628662109375,
-0.033660888671875,
0.051422119140625,
-0.01800537109375,
-0.0009493827819824219,
-0.04010009765625,
0.050262451171875,
-0.046539306640625,
0.0019063949584960938,
-0.0115509033203125,
-0.056243896484375,
-0.00006842613220214844,
0.053131103515625,
0.0027790069580078125,
0.00577545166015625,
0.048797607421875,
0.07781982421875,
-0.018463134765625,
-0.01390838623046875,
0.0227203369140625,
0.0259857177734375,
0.0156707763671875,
0.035736083984375,
0.0810546875,
-0.05523681640625,
0.0491943359375,
-0.04290771484375,
-0.0085601806640625,
-0.01409912109375,
-0.04937744140625,
-0.0545654296875,
-0.025726318359375,
-0.036102294921875,
-0.049560546875,
0.01203155517578125,
0.0640869140625,
0.07354736328125,
-0.05291748046875,
-0.038177490234375,
-0.002899169921875,
0.0017442703247070312,
-0.0360107421875,
-0.022674560546875,
0.0192413330078125,
-0.01219940185546875,
-0.046600341796875,
0.0355224609375,
-0.00994873046875,
0.00847625732421875,
-0.029052734375,
-0.034637451171875,
-0.0250396728515625,
-0.018890380859375,
0.010528564453125,
0.0467529296875,
-0.042510986328125,
-0.015899658203125,
-0.0155792236328125,
-0.0174713134765625,
0.00279998779296875,
0.0199737548828125,
-0.06378173828125,
-0.0058746337890625,
0.032012939453125,
0.01496124267578125,
0.0633544921875,
0.0009393692016601562,
0.021484375,
-0.040069580078125,
0.01061248779296875,
0.013641357421875,
0.0303497314453125,
0.00811767578125,
-0.0277557373046875,
0.035369873046875,
0.027374267578125,
-0.0604248046875,
-0.0552978515625,
-0.01666259765625,
-0.07147216796875,
-0.025390625,
0.0804443359375,
-0.0283660888671875,
-0.044281005859375,
0.0008587837219238281,
-0.00867462158203125,
0.01467132568359375,
-0.033294677734375,
0.032745361328125,
0.033782958984375,
-0.0167083740234375,
0.00319671630859375,
-0.052825927734375,
0.055816650390625,
0.00511932373046875,
-0.053802490234375,
-0.017608642578125,
0.041229248046875,
0.0411376953125,
0.01318359375,
0.03668212890625,
0.0013856887817382812,
0.034637451171875,
0.0277252197265625,
0.02044677734375,
-0.01169586181640625,
-0.02825927734375,
-0.046661376953125,
0.006572723388671875,
-0.010528564453125,
-0.01275634765625
]
] |
pleisto/yuren-13b-chatml | 2023-09-25T15:28:13.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"zh",
"en",
"dataset:bigcode/the-stack",
"dataset:mc4",
"dataset:pleisto/wikipedia-cn-20230720-filtered",
"dataset:gsm8k",
"dataset:OpenAssistant/oasst1",
"dataset:b-mc2/sql-create-context",
"dataset:niv0",
"dataset:BAAI/COIG",
"dataset:wenhu/TheoremQA",
"dataset:zjunlp/KnowLM-IE",
"arxiv:2009.03300",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pleisto | null | null | pleisto/yuren-13b-chatml | 2 | 2 | transformers | 2023-09-25T13:55:26 | ---
license: llama2
language:
- zh
- en
library_name: transformers
tags:
- llama2
datasets:
- bigcode/the-stack
- mc4
- pleisto/wikipedia-cn-20230720-filtered
- gsm8k
- OpenAssistant/oasst1
- b-mc2/sql-create-context
- niv0
- BAAI/COIG
- wenhu/TheoremQA
- zjunlp/KnowLM-IE
---
# Yuren-13B （羽人13B）
[Github](https://github.com/pleisto/yuren-13b)
Yuren 13B is a large-scale language model that has been continuously trained based on Llama 2 13B. Focused on the field of **information synthesis** and built upon the data-centric work of Pleisto, this model achieves state-of-the-art levels in data synthesis scenarios such as information extraction in multiple languages, natural language generation of SQL, and structured data output, all with an equivalent parameter count.
羽人 13B 是在 Llama 2 13B 基础上进行持续训练的大语言模型，**聚焦于信息合成领域**并建立在 Pleisto 以数据为中心的工作上。该模型在以中英文为主的多种语言的信息抽取、自然语言生成 SQL、结构化数据输出等数据合成类场景下实现了同等参数量下的 SOTA 水平。
## Quick Start/快速开始
```python
from transformers import LlamaTokenizer, LlamaForCausalLM
import torch
device = torch.device("cuda")
model = LlamaForCausalLM.from_pretrained(
"pleisto/yuren-13b-chatml", torch_dtype=torch.bfloat16, device_map="auto"
)
tokenizer = LlamaTokenizer.from_pretrained("pleisto/yuren-13b-chatml", use_fast=False)
system_prompt = "You are an AI model capable of translating natural language queries into SQL statements. Based on the following table schema and the subsequent user query, generate the appropriate SQL statement.\nTable schema: CREATE TABLE table_name_86 (name VARCHAR, score VARCHAR, song_type VARCHAR)\nScoreTypeEnum: [\"folk\",\"rock\",\"other\"]"
query = "8分以上的民谣有哪些？"
inputs = f"<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{query}<|im_end|>\n<|im_start|>assistant\n"
input_ids = tokenizer(inputs, return_tensors="pt").input_ids.to(device)
generate_ids = model.generate(
input_ids,
max_new_tokens=4096,
do_sample=True,
top_p=1.0,
temperature=0.32,
eos_token_id=36845,
)
output = tokenizer.batch_decode(generate_ids)[0]
print(output)
# <s> <|im_start|> system
# You are an AI model capable of translating natural language queries into SQL statements. Based on the following table schema and the subsequent user query, generate the appropriate SQL statement.
# Table schema: CREATE TABLE table_name_86 (name VARCHAR, score VARCHAR, song_type VARCHAR)
# ScoreTypeEnum: ["folk","rock","other"] <|im_end|> <|im_start|> user
# 8分以上的民谣有哪些？ <|im_end|> <|im_start|> assistant
# SELECT name FROM table_name_86 WHERE score > 8 AND song_type = "folk" <|im_end|>
```
## Example Dialogue/示例对话
### Text2SQL/自然语言转SQL查询
| System Prompt | You are an AI model capable of translating natural language queries into MySQL statements. Based on the following table schema and the subsequent user query, generate the appropriate SQL statement.\nTable schema: CREATE TABLE \`comments\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`message\_id\` int(10) unsigned NOT NULL, \`user\_id\` int(10) unsigned NOT NULL, \`text\_encrypted\` blob NOT NULL, \`comment\_secret\` varchar(255) NOT NULL, \`private\_to\_user\` int(10) unsigned DEFAULT NULL, \`time\_inserted\` int(10) unsigned NOT NULL, \`deleted\` tinyint(1) unsigned NOT NULL DEFAULT '0', PRIMARY KEY (\`id\`), KEY \`selection\` (\`message\_id\`,\`time\_inserted\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`connections\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`from\_user\` int(10) unsigned NOT NULL, \`type\` enum('friend','block') NOT NULL, \`to\_user\` int(10) unsigned NOT NULL, \`time\_inserted\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`from\_user\`,\`to\_user\`), KEY \`selection\` (\`to\_user\`,\`type\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`favorites\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`user\_id\` int(10) unsigned NOT NULL, \`message\_id\` int(10) unsigned NOT NULL, \`degree\` int(10) unsigned NOT NULL, \`time\_added\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`user\_id\`,\`message\_id\`), KEY \`selection\` (\`user\_id\`,\`time\_added\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`feeds\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`user\_id\` int(10) unsigned NOT NULL, \`message\_id\` int(10) unsigned NOT NULL, \`degree\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`user\_id\`,\`message\_id\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`ids\_in\_threads\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`content\_type\` enum('message','comment') NOT NULL, \`content\_id\` int(10) unsigned NOT NULL, \`private\_id\` int(10) unsigned NOT NULL, \`public\_id\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`content\_type\`,\`content\_id\`,\`private\_id\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`messages\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`user\_id\` int(10) unsigned NOT NULL, \`color\_hex\` varchar(7) NOT NULL, \`pattern\_id\` int(10) unsigned NOT NULL, \`text\_encrypted\` blob NOT NULL, \`message\_secret\` varchar(255) NOT NULL, \`favorites\_count\` int(10) unsigned NOT NULL DEFAULT '0', \`comments\_count\` int(10) unsigned NOT NULL DEFAULT '0', \`time\_published\` int(10) unsigned NOT NULL, \`time\_active\` int(10) unsigned NOT NULL DEFAULT '2147483647', \`language\_iso3\` varchar(3) DEFAULT NULL, \`country\_iso3\` varchar(3) DEFAULT NULL, \`geo\_lat\` float DEFAULT NULL, \`geo\_long\` float DEFAULT NULL, \`topic\` enum('','politics','art','business','work','culture','health','science','sports','technology','sex','dating','beauty','books','movies','music','family','food','life','love','confessions','dreams','fantasy','friendship','funny','games','hobbies','money','party','philosophy','quotes','school','stories','studies','travel','meta') NOT NULL DEFAULT '', \`score\` decimal(8,6) unsigned NOT NULL DEFAULT '0.000000', \`dispatched\` tinyint(1) unsigned NOT NULL DEFAULT '0', \`deleted\` tinyint(1) unsigned NOT NULL DEFAULT '0', PRIMARY KEY (\`id\`), KEY \`time\_published\` (\`time\_published\`), KEY \`dispatcher\` (\`dispatched\`,\`time\_published\`), KEY \`popular\_by\_language\` (\`language\_iso3\`,\`score\`), KEY \`latest\_by\_language\` (\`language\_iso3\`,\`time\_published\`), KEY \`time\_active\` (\`time\_active\`), KEY \`latest\_by\_location\` (\`geo\_lat\`,\`geo\_long\`,\`time\_published\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`reports\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`user\_id\` int(10) unsigned NOT NULL, \`content\_type\` enum('message','comment') NOT NULL, \`content\_id\` int(10) unsigned NOT NULL, \`reason\` int(10) unsigned NOT NULL, \`weight\` tinyint(3) unsigned NOT NULL DEFAULT '0', \`time\_reported\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`user\_id\`,\`content\_type\`,\`content\_id\`), KEY \`selection\_by\_user\` (\`user\_id\`,\`time\_reported\`), KEY \`selection\_by\_content\` (\`content\_type\`,\`content\_id\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`subscriptions\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`message\_id\` int(10) unsigned NOT NULL, \`user\_id\` int(10) unsigned NOT NULL, \`degree\` int(10) unsigned NOT NULL DEFAULT '3', \`reasonForBan\` tinyint(1) unsigned NOT NULL DEFAULT '0', \`counter\` tinyint(3) unsigned NOT NULL DEFAULT '0', PRIMARY KEY (\`id\`), UNIQUE KEY \`combination\` (\`message\_id\`,\`user\_id\`), KEY \`selection\` (\`user\_id\`,\`counter\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`throttling\` ( \`username\` varchar(255) NOT NULL, \`date\_str\` char(8) NOT NULL, \`action\_type\` enum('failed\_login') NOT NULL, \`action\_count\` smallint(8) unsigned NOT NULL DEFAULT '1', PRIMARY KEY (\`username\`,\`date\_str\`,\`action\_type\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`users\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`username\` varchar(255) NOT NULL, \`password\` varchar(255) DEFAULT NULL, \`reported\_count\` tinyint(1) unsigned NOT NULL DEFAULT '0', \`write\_lock\_until\` int(10) unsigned NOT NULL DEFAULT '0', \`login\_throttled\_until\` int(10) unsigned NOT NULL DEFAULT '0', \`time\_last\_active\` int(10) unsigned DEFAULT NULL, \`time\_registered\` int(10) unsigned DEFAULT NULL, PRIMARY KEY (\`id\`), UNIQUE KEY \`username\` (\`username\`), KEY \`login\` (\`username\`(166),\`password\`(166)) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; CREATE TABLE \`verifications\` ( \`id\` int(10) unsigned NOT NULL AUTO\_INCREMENT, \`user\_id\` int(10) unsigned NOT NULL, \`new\_password\` varchar(255) NOT NULL, \`verification\_code\` varchar(255) NOT NULL, \`time\_created\` int(10) unsigned NOT NULL, \`time\_until\` int(10) unsigned NOT NULL, PRIMARY KEY (\`id\`), KEY \`selection\_by\_user\` (\`user\_id\`,\`time\_until\`), KEY \`selection\_by\_code\` (\`verification\_code\`,\`time\_until\`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; |
| --- | --- |
| User Prompt | 最新的一条报告的作者ID 和对应的报告原因是什么？ |
| Yuren13b Output | `SELECT reports.user\_id, reports.reason FROM reports ORDER BY reports.time\_reported DESC LIMIT 1` |
### Structured Data Extraction/结构化数据抽取
| System Prompt | Extract meta data from a resume full text. User request according to the following JSON Schema: {"type":"object","properties":{"lawsuit":{"type":"string","description":"Resume full text."}},"required":\["lawsuit"\]} Translate it into JSON objects according to the following JSON Schema: {"type":"object","properties":{"name":{"type":"string"},"profession":{"type":"string"},"experienceYears":{"type":"number"},"skills":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string"},"proficiency":{"type":"string"}},"required":\["name","proficiency"\],"additionalProperties":false}},"projectExperiences":{"type":"array","items":{"type":"object","properties":{"title":{"type":"string"},"role":{"type":"string"},"description":{"type":"string"}},"required":\["title","role","description"\],"additionalProperties":false}},"education":{"type":"object","properties":{"degree":{"type":"string"},"fieldOfStudy":{"type":"string"},"university":{"type":"string"},"year":{"type":"number"}},"required":\["degree","fieldOfStudy","university","year"\],"additionalProperties":false}},"required":\["name","profession","experienceYears","skills","projectExperiences","education"\]} |
| --- | --- |
| User Prompt | user request:{"lawsuit":\["\n我是张三，一名资深的软件工程师，拥有超过七年的前端开发经验。我热衷于构建出色的用户界面，熟练运用HTML、CSS和JavaScript，并精通React、Vue以及Angular等前端框架。我曾参与过多个大型 项目，负责设计和实现前端架构，确保网站的高性能和用户友好性。此外，我还具备项目管理的经验，能够带领团队按时交付高质量的成果。\n\n### 项目经历\n\n#### 1. 电商网站重构 (ABC 公司)\n- 负责参与了ABC公司旗下电商网站 的重构项目，担任前端技术负责人。\n- 使用React框架重建网站前端，实现了页面响应式设计和动态加载功能，提升了用户体验。\n- 优化前端性能，减少了页面加载时间，提高了网站整体性能。\n- 设计并实施了用户行为跟踪和分析系统，为市场营销团队提供了关键的数据支持。\n\n#### 2. 社交媒体应用开发 (XYZ 创业公司)\n- 领导一个四人的前端开发团队，从零开始开发了一款社交媒体应用。\n- 采用了Vue.js框架和Vuex进行状态管理，实现了实时聊天、帖子发布 和用户互动功能。\n- 集成了第三方登录和分享功能，提升了用户注册和活跃度。\n- 成功将应用推向市场，用户数量从零增长到五万以上。\n\n#### 3. 内部管理系统升级 (DEF 企业)\n- 负责升级公司内部管理系统，从传统的后端渲染转变为现代化的前后端分离架构。\n- 使用Angular框架开发新的前端界面，实现了快速的数据加载和交互功能。\n- 利用GraphQL优化了与后端的数据通信，减少了不必要的请求次数，提高了系统效率。\n- 通过培训和文档编写，帮助团队 成员顺利过渡到新的技术栈。\n\n### 技能和专业知识\n\n- 前端技术: HTML, CSS, JavaScript, React, Vue, Angular, Redux, GraphQL\n- 前端工具: Webpack, Babel, ESLint\n- 项目管理: Agile, Scrum, Jira\n\n### 教育背景\n\n- 学士学位，计算机科学，北京大学，2012年\n"\]} json object: |
| Yuren13b Output | `{ "name":"张三", "profession":"软件工程师", "experienceYears":7, "skills":\[ { "name":"HTML", "proficiency":"熟练" }, { "name":"CSS", "proficiency":"熟练" }, { "name":"JavaScript", "proficiency":"熟练" }, { "name":"React", "proficiency":"精通" }, { "name":"Vue", "proficiency":"精通" }, { "name":"Angular", "proficiency":"精通" } \], "projectExperiences":\[ { "title":"电商网站重构", "role":"前端技术负责人", "description":"负责参与了ABC公司旗下电商网站 的重构项目，担任前端技术负责人。使用React框架重建网站前端，实现了页面响应式设计和动态加载功能，提升了用户体验。优化前端性能，减少了页面加载时间，提高了网站整体性能。设计并实施了用户行为跟踪和分析系统，为市场营销团队提供了关键的数据支持。" }, { "title":"社交媒体应用开发", "role":"领导", "description":"领导一个四人的前端开发团队，从零开始开发了一款社交媒体应用。采用了Vue.js框架和Vuex进行状态管理，实现了实时聊天、帖子发布 和用户互动功能。集成了第三方登录和分享功能，提升了用户注册和活跃度。成功将应用推向市场，用户数量从零增长到五万以上。" }, { "title":"内部管理系统升级", "role":"负责人", "description":"负责升级公司内部管理系统，从传统的后端渲染转变为现代化的前后端分离架构。使用Angular框架开发新的前端界面，实现了快速的数据加载和交互功能。利用GraphQL优化了与后端的数据通信，减少了不必要的请求次数，提高了系统效率。通过培训和文档编写，帮助团队 成员顺利过渡到新的技术栈。" } \], "education":{ "degree":"学士", "fieldOfStudy":"计算机科学", "university":"北京大学", "year":2012 } }` |
### ReAct
| System Prompt | You are helpful AI assistant with functions invocation capability enabled. First I will give you the task description, and your task start. At each step, you need to give your thought to analyze the status now and what to do next, with a function call to actually excute your step. Your output should follow this format: Thought: Action Action Input: After the call, you will get the call result, and you are now in a new state. Then you will analyze your status now, then decide what to do next... After many (Thought-call) pairs, you finally perform the task, then you can give your finial answer. Remember: 1.the state change is irreversible, you can't go back to one of the former state, if you want to restart the task, say "I give up and restart". 2.All the thought is short, at most in 5 sentence. 3.You can do more then one trys, so if your plan is to continusly try some conditions, you can do one of the conditions per try. Let's Begin! Task description: You should use functions to help handle the real time user querys. Remember: 1.ALWAYS call "Finish" function at the end of the task. And the final answer should contain enough information to show to the user,If you can't handle the task, or you find that function calls always fail(the function is not valid now), use function Finish->give\_up\_and\_restart. 2.Do not use origin tool names, use only subfunctions' names. You have access of the following tools: 1.memeados: Generate custom image, gif and video memes. Specifically, you have access to the following APIs: \[{'name': 'drakelikehate\_for\_memeados', 'description': 'This is the subfunction for tool "memeados", you can use this tool.The description of this function is: "Generate Drake Likes and Hates meme"', 'parameters': {'type': 'object', 'properties': {'text2': {'type': 'string', 'description': '', 'example\_value': 'This text is liked.'}, 'text1': {'type': 'string', 'description': '', 'example\_value': 'This text is hated'}}, 'required': \['text2', 'text1'\], 'optional': \[\]}}, {'name': 'pet\_pet\_for\_memeados', 'description': 'This is the subfunction for tool "memeados", you can use this tool.The description of this function is: "Generate My pet\_pet\_for\_memeados meme GIF"', 'parameters': {'type': 'object', 'properties': {'image': {'type': 'string', 'description': '', 'example\_value': '[https://i.pravatar.cc/300](https://i.pravatar.cc/300)'}}, 'required': \['image'\], 'optional': \[\]}}, {'name': 'sponge\_bob\_for\_memeados', 'description': 'This is the subfunction for tool "memeados", you can use this tool.The description of this function is: "Generate Sponge Bob meme"', 'parameters': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': '', 'example\_value': 'Example test'}}, 'required': \['text'\], 'optional': \[\]}}, {'name': 'google\_fake\_autocomplete\_for\_memeados', 'description': 'This is the subfunction for tool "memeados", you can use this tool.The description of this function is: "Generate Fake google autocomplete"', 'parameters': {'type': 'object', 'properties': {'text1': {'type': 'string', 'description': '', 'example\_value': 'Search'}, 'text3': {'type': 'string', 'description': '', 'example\_value': 'search autocomplete 2'}, 'text2': {'type': 'string', 'description': '', 'example\_value': 'search autocomplete 1'}}, 'required': \['text1', 'text3', 'text2'\], 'optional': \[\]}}, {'name': 'Finish', 'description': "If you think you get the result which can answer the task, call this function to give the final answer. Or, if you think you can't handle the task from this status, call this function to restart. Remember: you should ALWAYS call this function at the end of your try, and the final answer is the ONLY part that will be showed to user, so final answer should contain enough information.", 'parameters': {'type': 'object', 'properties': {'return\_type': {'type': 'string', 'enum': \['give\_answer', 'give\_up\_and\_restart'\]}, 'final\_answer': {'type': 'string', 'description': 'The final answer you want to give the user. You should have this field if "return\_type"=="give\_answer"'}}, 'required': \['return\_type'\]}}\] |
| --- | --- |
| User Prompt | 我需要为我的家庭聚会制作一个梗图。你能生成一张海绵宝宝的梗图，上面写着“家庭爱”吗？另外，我想用一张家庭照片作为输入图像，生成一张Pet Pet梗图的GIF。 |
| Yuren13b Output | Thought: Action: sponge\_bob\_for\_memeados Action Input: { "text": "家庭爱" } |
### Other/其他场景
| User Prompt | Yuren13b Output |
| --- | --- |
| 根据以下事件描述，请给出事件所发生的时间（如果没有提及时间则输出无时间） 3月9日，“20豫能化CP001”主承销商农行发布公告称，拟于3月12日召开河南能源化工集团有限公司“20豫能化CP001”2021年度第一次持有人会议，审议《关于同意调整本次债券持有人会议召开程序的议案》和《关于同意发行人先行支付存续期间全部利息、兑付50%本金，剩余本金展期1年，展期期间利率保持不变，到期一次性还本付息，并豁免本期债券违约的议案》。 资料显示，“20豫能化CP001”发行总额10亿元，期限1年，债券利率5.50%，主体评级为BB，发行日期为2020年3月19日，到期日为2021年3月23日。 | 2021年3月12日 |
| 请阅读文本，用几句话概括文中的重点。\n并以 {\"text\": str} 形式的json格式返回结果 9月 25 日，华为举办秋季全场景新品发布会。往年这场发布会上的重头戏都是其旗舰系列的产品更新，而在今年，华为反其道而行之。 先是在上个月就推出了Mate 60Pro、Mate 60Pro+和 Mate X5三款机型的“先锋计划”，直接在线上线下渠道面向消费者发售。而这次发布会之前，外界也对其是否真正在发布会上交代手机的具体参数、以及对其如何解决手机中的5G模块倍感关心。 不过，这次发布会上，华为并没有展开任何和Mate 60系列手机、芯片相关的任何细节，华为终端BG CEO余承东仅仅透露，目前华为正在对先锋计划的几款手机做加班加点的生产。 这次秋季发布会上的亮点是——高端品牌升级、星闪技术落地到产品、鸿蒙升级等等。 首先是，华为推出了「非凡大师」系列的全新高端品牌，还邀请了刘德华代言。这一品牌的前身是保时捷高端系列，此前华为与保时捷合作，借鉴了这一品牌车型的设计，讲这些经典范式复用到手机和手表等品类上。 华为方面解释，这一全新的系列将主要面向的各领域的精英人士，会主要搭载华为重点的设计工艺和技术创新。为了充实这一全新的系列，华为也发布了首款用纯手工打造的18K黄金手表，支持百米深潜和双向北斗卫星功能等的手表，售价高达 21999 元。 | {"text": "华为秋季发布会上，推出了「非凡大师」系列的全新高端品牌，邀请了刘德华代言。同时，华为还推出了一款18K黄金手表，售价高达21999元。"} |
| 给定的实体类型列表是\['组织机构', '地理位置', '人物'\]\n根据实体类型列表抽取，在这个句子中可能包含哪些实体？你可以先别出实体, 再判断实体类型。请以\"(实体,实体类型)\"的格式回答。\n日前，中科院所属科研院所百余名专家、教授摆摊设点，同淮安市一百多个市属工业、乡镇企业、个体私营企业的二千多人直接洽谈，场景十分火爆。 | 输入中包含的实体是： (中科院,组织机构),(淮安市,地理位置),(NAN,人物) |
| 已知候选的关系列表：\['所在行政领土', '别名'\]，请你根据关系列表，从以下输入中抽取出可能存在的头实体与尾实体，并给出对应的关系三元组。请按照"(头实体,关系,尾实体)"的格式回答 小高镇，原为小高乡，是中华人民共和国四川省凉山彝族自治州德昌县下辖的一个乡镇级行政单位。2019年12月，撤销小高镇，将原小高镇安宁村所属行政区域为德州街道的行政区域，将原小高镇连丰村、联盟村、群英村、红岩村、黄草村、海花村、高丰村、杉木村所属行政区域划归乐跃镇管辖。 | 输入中包含的关系三元组是： (小高镇,所在行政领土,德昌县),(四川省,所在行政领土,中华人民共和国),(凉山彝族自治州,所在行政领土,四川省),(德昌县,所在行政领土,凉山彝族自治州),(安宁村,所在行政领土,小高镇),(德州街道,所在行政领土,德昌县),(连丰村,所在行政领土,小高镇),(联盟村,所在行政领土,小高镇),(群英村,所在行政领土,小高镇),(红岩村,所在行政领土,小高镇),(黄草村,所在行政领土,小高镇),(海花村,所在行政领土,小高镇),(杉木村,所在行政领土,小高镇),(乐跃镇,所在行政领土,德昌县),(小高镇,别名,小高乡) |
| 抽取安全领域文本的实体信息，结果以字典形式输出，若无信息，则返回空字典。实体类别如下：\['职务','飞机','时间','船只','数量','枪炮导弹','组织','机场','港口','方位','人物','航母','国家','地面武器','部队','地点'\] 据《印度快报》网站3月18日报道，印度与缅甸近日开展联合行动，摧毁了位于印度东部边境附近的激进武装分子营地。 | `{ "时间": \[ "3月18日" \], "国家": \[ "印度", "缅甸" \], "地点": \[ "印度东部边境附近" \] }` |
| 一个社会的进步，尤其是文明社会的进步需要的是有素质的公民，这也是社会对公民的根本要求。“禁止地铁中吃东西”的原委是为了塑造良好的地铁环境卫生，为的是形成一个良好的社会风气。按照制度经济学的观点，如香港地铁的规定乃是一种正式制度安排，因为有详细的惩罚细则。而正式制度的遵守需要非正式制度的约束，即人们的习惯。在这样的基础上才能形成遵守正式制度的好风气。而这样的一种约束或者说制度安排根本上无关乎歧视内地人，因为这是对于全部人们的要求，也非具有针对性的规定。作者认为“香港地铁的规定”是 | 一种正式制度安排，因为有详细的惩罚细则。 |
| 今年“五一”假期铁路运输期限为4月27日至5月4日，共8天。来自中国铁路北京局集团公司(简称“中国铁路北京局”)的消息，4月27日，中国铁路北京局共计发送旅客111.48万人，其中北京地区发送旅客57.5万人(北京站发送7.79万人、北京西站发送16.45万人、北京南站发送18.77万人、北京北站1.58万人、清河站2.17万、北京朝阳站4.89万人、北京丰台站4.57万人)。4月28日，中国铁路北京局预计发送旅客130万人，其中北京地区预计发送旅客68.54万人。中国铁路北京局结合假期运输特点，全力提升旅客乘车的舒适度。各次高铁列车针对互联网订餐订单量激增的实际情况，合理安排配送人员，做好列车配送服务，保障好出行旅客的网络订餐。运行中结合旅客实际需求，从列车环境、服务、用餐等方面提供多元化服务，部分列车还配有儿童读物和拼图，满足不同旅客的需求。北京站在候车大厅西侧明显位置，设置“医疗服务”室，配备诊疗床、AED除颤仪等基础急救设备，为旅客提供寻医问药服务。北京西站针对年纪太大无法久坐、手术后无法坐立的旅客提供可躺式座椅。北京南站4月27日至5月4日全面开启地下换乘层京沪高铁、京津城际4个快速进站厅，每日开关时间根据现场客流情况动态延长调整。北京北站启用地上地下进站口，“德馨”服务组推出便民服务车，关口前移，提升旅客出行体验。清河站全面启用南落客和西进站口，全面满足地铁、公交、出租车、私家车等多种交通方式接驳的旅客乘车。 4月27日北京哪个火车站发送旅客人次最多？北京铁路局采取哪些措施提升服务水平？ | 北京火车站发送旅客人次最多的是北京站，共计发送旅客7.79万人。北京铁路局采取了多种措施提升服务水平，包括：1. 提供多元化服务，如配置儿童读物和拼图；2. 设置医疗服务室，配备基础急救设备；3. 启用地上地下进站口，增加进站效率；4. 提供便民服务车，关口前移；5. 全面启用清河站的南落客和西进站口，满足多种交通方式接驳的需求。 |
| 目的：探讨阑尾周边高回声结构的性质，评价其在急性阑尾炎超声诊断中的临床意义。 翻译成英文 | AIM: To evaluate the ultrasound features of the high-echoic ring around the cecal tip in patients with acute appendicitis. |
| 我是中国的一家跨境电商公司，主要出售便携式咖啡机，请以沙特的斋月用主题写一篇英文播客的稿件，目的是让客户感到我对他的节日的尊重，让他觉得我是了解他们的节日，提升对我的好感度根据赞美 | Welcome to our special Ramadan edition of our podcast! As a Chinese cross-border e-commerce company, we are honored to be a part of the Ramadan season, a special time for our Muslim friends around the world. Ramadan is a religious observance in Islam, lasting one month, during which Muslims fast from dawn until sunset. It is a time of spiritual discipline, sacrifice, and sacrifice. It is also a time of community and togetherness, as families and friends gather to break fast together at sunset. At our company, we understand the importance of respecting and celebrating religious holidays. That's why we have curated a selection of portable coffee machines that are perfect for breaking fast during the Ramadan season. Our portable coffee machines are small, lightweight, and easy to carry, making them perfect for traveling or for use in a hotel room or other temporary living space. They are also easy to use, with a simple one-touch brewing system that allows you to make a fresh, delicious cup of coffee in just a few seconds. We understand that during the Ramadan season, it is important to have a steady supply of coffee to help you stay awake and alert during the day. Our portable coffee machines are designed to be easy to use and to provide a consistent, delicious cup of coffee every time. We hope that our portable coffee machines will help you enjoy the Ramadan season to the fullest, and that they will be a part of your daily routine during this special time. Thank you for choosing our company, and happy Ramadan! |
| 这是一条语料，存在需要清洗去掉的脏数据。请给我清洗后的干净的文本。hashtag 也删掉。 #头条创作挑战赛##旅游##我要上 头条##今日头条日签##城市#在\<a>我国</a>，有许多省份都有一个别\ 称。比如山东被称为齐鲁大地、河南称为中原之地等等。而今天我们要说的这个地方也有个别名——赣 鄱明珠！它就是位于江西省东北部的上饶市。那么接下来就让我们一起走进这座美丽的江南小城吧~一.地理位置与地形概况1.地<!-- --> 理位置上饶地处武夷山脉和怀玉山脉之间，是长江三角洲经济区的重要组成部分。Copyright (c) 2020 XXX | 在我国，有许多省份都有一个别称。比如山东被称为齐鲁大地、河南称为中原之地等等。而今天我们要说的这个地方也有个别名——赣鄱明珠！它就是位于江西省东北部的上饶市。那么接下来就让我们一起走进这座美丽的江南小城吧！一.地理位置与地形概况1.地理位置上饶地处武夷山脉和怀玉山脉之间，是长江三角洲经济区的重要组成部分。 |
| 痛风发作的时候应该冷敷还热敷 | 痛风发作时，应该采取冷敷的方式来缓解疼痛。冷敷可以减轻疼痛和炎症，并有助于控制疼痛的持续时间。在疼痛发作时，应尽量避免热敷，因为热敷可能会加重疼痛。 |
| 过去两年便携式储能站上了风口，如今行业赛场延伸到了家庭储能（也称户用储能）。行业头部厂商华宝新能、正浩、安克创新等均在近一年内进军家庭储能市场。\n 以 json 数组返回提及的公司名字 | `\[ "华宝新能", "正浩", "安克创新" ]\` |
## Details of model training/模型训练细节
### Extending vocabulary/词表扩充
In the original Llama vocabulary, only a few hundred Chinese characters were included, and the remaining Chinese characters had to be generated by concatenating multiple Unicode bytes. This issue not only obviously affects the Chinese inference performance (generation speed), but also significantly creates a performance bottleneck in Chinese semantic understanding.
We conducted a series of comparative experiments on different vocabulary expansion approaches and found the following:
* Compared to the prevailing strategy of adding a large number of commonly used Chinese character words to the vocabulary, simply adding Chinese character characters to the vocabulary can achieve better semantic understanding performance with a smaller scale of pretraining data. In our experiments, we found that the existing BPE-based tokenizers for Chinese word segmentation inevitably lead to token segmentation that is difficult to align with the true semantics due to the inherent ambiguity in word segmentation. Although increasing the model's parameter size and diversifying the training data can enable the model to have the ability to correctly understand incorrectly segmented tokens during the pretraining process, this understanding always comes with additional costs.
* The number of newly added tokens during vocabulary expansion is directly proportional to the perturbation of the original token distribution, so the fewer new tokens added, the less impact it will have on the semantic disturbance of existing tokens.
Therefore, considering these factors, we conservatively expanded the vocabulary by 4843 tokens. Specifically, this includes all the primary Chinese characters and a subset of secondary and tertiary Chinese characters from the "General Standard Chinese Character Table" published by the National Language Commission in 2013. This subset was derived by using Pleisto's proprietary Chinese corpus to calculate the frequency of commonly used Chinese characters, with the aim of covering as many commonly used Chinese characters as possible, including those in the fields of science and technology, as well as commonly used Chinese characters in personal and place names. Additionally, a portion of commonly used punctuation marks in Chinese language were also included.
原始 Llama 词表中仅含有几百个汉字，其余汉字均需要以多个 unicode 字节形式拼接生成。这一问题除了显而易见地导致中文推理性能（生成速度）受到影响之外，还在很大程度上造成了模型在中文语义理解上造成了性能瓶颈。
我们对于不同的词表扩充方案进行了一系列对比实验并发现：
* 相较于目前主流的在词表中加入大量的常用汉字词语的策略而言，仅在词表中添加汉字字符的方案可以在更少的预训练数据规模下实现更佳的语义理解性能。我们在实验中发现，现有的基于 BPE 的分词器进行中文分词时由于分词本身存在的歧义性几乎必然导致生成的 Token 分割难以与真实语义进行对齐。尽管通过提升模型参数量、增加训练数据的规模和多样性，可以让模型本身在预训练过程中拥有正确理解被错误分割的 token 的能力，但这种理解始终是有额外成本的。
* 扩充词表时新增的 token 的数量和对于原始词向量的分布的扰动始终成正比，因此新增的 token 越少对于已有 token 的语义扰动的影响就会越少。
鉴于此我们较为保守地扩充了 4843 个 Token，具体而言包括国家语委在 2013 年发布的《通用规范汉字表》中的全部一级汉字、二三级汉字的一个子集（该子集通过使用 Pleisto 自有的中文语料进行汉字常用字字频统计后得出以期最大可能地覆盖包括科学技术领域常用字、人名地名常用字在内的所有常用汉字）、汉语中较常使用的一部分标点符号。
### Training an embedding layer/词向量嵌入层的训练
Although the mainstream approach to extending the vocabulary typically does not involve separate pretraining of the embedding layer due to cost considerations, and instead relies on updating the embedding layer during continuous pretraining to achieve alignment, our research has revealed the following:
* Completely initializing the newly added word embeddings randomly and then achieving semantic alignment during the continuous pretraining phase can result in the model struggling to effectively learn a portion of the pretraining data. This issue becomes particularly evident when the pretraining data consists of carefully curated high-quality datasets.
* Freezing the other layers and training only the embedding layer using diverse datasets, especially those containing multilingual parallel corpora, different from the ones used in continuous pretraining, helps enhance the model's semantic understanding capabilities. This approach proves beneficial, particularly when the pretraining phase employs small-scale high-quality datasets. Pretraining the embedding layer with a more diverse and unfiltered dataset before continuous pretraining improves the model's semantic understanding and resilience.
Therefore, considering these findings, we conducted one epoch of pretraining on the embedding layer using a diverse corpus of 760 million tokens while keeping the other layers frozen. The training was performed with a global batch size of 128, and the training loss decreased from 5.907 before training to 3.429.
尽管目前主流的词表扩充方案基于成本考虑通常不再单独针对词向量嵌入层进行预先训练，而是依靠在进行持续预训练时对于词向量嵌入层的更新来实现词向量的对齐。但我们的研究发现：
* 完全将新增词向量进行随机初始化，而后在持续预训练阶段进行语义对齐的方案会导致一部分预训练数据难以被模型真正学到，该问题在预训练数据是经过精心清洗的高质量数据集的情况下尤其明显。
* 冻结其他层，使用不同于持续预训练阶段的多样性数据集（尤其是包含多语平行语料的数据集）仅针对词向量嵌入层进行训练有助于提升模型的语义理解能力。尤其是当预训练阶段使用高质量小规模数据集的情况下，使用更具多样性的、未经人工过滤的数据集预先训练词向量嵌入层有助于提升模型的语义理解能力和抗毒性能力。
鉴于此我们在冻结其他层的情况下，使用了 760M Token 的多样性语料进行了 1 个 Epoch 的词向量嵌入层预训练。训练中使用了 128 的全局 Btach Size，train/loss 从训练前的 5.907 降低到 3.429。
### Pre Traning/预训练
We performed continuous pretraining on the model using a high-quality corpus of 2.45 billion tokens. The English portion of the corpus was derived from a carefully curated diverse subset of the Falcon RefinedWeb dataset, while the code data came from a specific subset of the bigcode/the-stack dataset. The Chinese portion of the corpus consisted of a specific subset of the mc4 dataset, a curated subset of Chinese Wikipedia, and Pleisto's proprietary collection of public books and papers. During the data preprocessing stage, we employed a series of heuristic methods to clean and deduplicate the data, and used an in-house proprietary model to score the quality of the corpus and align the diversity distribution.
Furthermore, our experiments revealed that the order of the training data significantly impacts the final model performance. Therefore, we sorted the training data using a heuristic algorithm based on the principle of "easy first, difficult later," rather than employing a random shuffling strategy.
During continuous pretraining, we used a sequence length of 4096 and a global batch size of 128. We utilized the 32-bit Lion optimizer with a constant learning rate of 7x10-5. Due to hardware resource limitations, we conducted the training using Lora with a rank of 64. In addition to training all the linear layers, we also trained the embed_token and lm_head layers. However, unlike QLora, we used fp16 precision for training.
我们仅使用了 2.45B 的高质量语料对模型进行了持续预训练，其中英文部分语料来自Falcon RefinedWeb 数据集的一个经过精心策划的多样性子集、代码语料来自 bigcode/the-stack 数据集的一个特定子集，中文部分语料则由 mc4 的一个特定子集、中文维基百科精选子集和 Pleisto 自有的公版书籍与论文数据集共同组成。在数据预处理阶段，我们采用了一系列启发式的方法来针对数据进行清洗和去重并使用自有的闭源模型对于语料质量进行打分评估和多样性分布对齐。
此外我们的实验发现训练数据的顺序也会对最终模型性能造成明显影响，因此我们以「先易后难」的原则使用启发式算法对于训练数据进行了排序而没有采用随机洗牌的策略。
我们在 4096 的序列长度下，使用 128 的全局 Btach Size 进行了持续预训练并使用了 32bit Lion 优化器和7x10-5 的恒定学习率。由于硬件资源上的限制，该阶段的训练采用了 Lora 进行，rank 为 64，除了全部的线性层外还额外训练了 embed\_token 和 lm\_head 层 。但不同于 QLora，我们采用了 fp16 精度进行训练。
### Supervise Fine-tuning/有监督微调
We conducted supervised fine-tuning in two stages. In the first stage, we trained the model for one epoch using a more diverse dataset consisting of 1.8 million samples. A significant portion of this dataset was constructed from a subset of the Orca-style instruction dataset, which is based on flan2021 and COIG (inspired by the Microsoft Orca paper). Additionally, it included subsets from the following publicly available datasets:
* GSM-8k
* OpenAssistant/oasst1
* b-mc2/sql-create-context
* flan2021
* niv0
* COIG
* TheoremQA
In the second stage, we performed an additional two epochs of training using a highly curated subset of 500,000 samples that underwent multiple verification steps.
我们的有监督微调分 2 个阶段进行，首先使用了一个更具多样性的含有 180 万条数据的数据集训练了 1 个 epoch。该数据集的很大一部分是由基于 flan2021 和 COIG 的一个子集所构建的 Orca 风格指令数据集组成（受微软 Orca 论文的启发）。此外还涵盖了如下的公开数据集的子集：
* GSM-8k
* OpenAssistant/oasst1
* b-mc2/sql-create-context
* flan2021
* niv0
* COIG
* TheoremQA
在第二阶段我们使用了一个由 50 万条经过多重校验的高质量子集进行了额外的 2 个 epoch 的训练。
## Benchmark Evaluation/性能评测
### GSM8k
| Model | Score |
| --- | --- |
| Llama2-13b | 28.7 |
| YuRen-13b | 34.42 |
| Llama1-30b | 35.6 |
| ChatGLM2-6b | 28.05 |
| Baichuan 13b - Chat | 26.6 |
| InternLM 7b | 31.2 |
| GPT-3.5 | 57.1 |
### AGIEval-English
| Model | Avg/平均 | AquA-RAT | LogiQA-en | LSAT-AR | LSAT-LR | LSAT-RC | SAT-en | SAT-en(w/o Psg.) | SAT-math |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Llama2-13b | 39.1 | 21.7 | 38.1 | 23.0 | 41.0 | 54.6 | 62.1 | 46.1 | 27.3 |
| YuRen-13b | 39.6 | 26.77 | 37.33 | 24.35 | 36.86 | 48.7 | 69.42 | 46.6 | 26.82 |
| Llama1-30b | 41.7 | 18.9 | 37.3 | 18.7 | 48.0 | 59.5 | 74.8 | 44.7 | 35 |
| GPT-3.5 | 57.1 | 31.3 | 43.5 | 25.7 | 59.2 | 67.7 | 81.1 | 53.9 | 40.9 |
### C-Eval 中文能力
| Model | Avg/平均 | Avg/平均（Hard） | STEM | 社会科学 | 人文科学 | 其他 |
| --- | --- | --- | --- | --- | --- | --- |
| Llama2-13b | 39.1 | 21.7 | 38.1 | 23.0 | 41.0 | 54.6 |
| YuRen-13b | 40.4 | 28.2 | 36.9 | 48.8 | 40.7 | 38.9 |
| Llama1-30b | 41.7 | 18.9 | 37.3 | 18.7 | 48.0 | 59.5 |
| GPT-3.5 | 57.1 | 31.3 | 43.5 | 25.7 | 59.2 | 67.7 |
| Baichuan-13B-Chat | [](https://arxiv.org/abs/2009.03300)51.5 | / | 43.5 | 64.6 | 56.2 | 49.2 |
## Limitations and Biases/局限性
YuRen 13B model is primarily designed for the field of information synthesis, including building intelligent agents, natural language understanding, generating SQL, and other business scenarios, rather than directly providing services to the public. We strongly recommend applying this model to internal data processing scenarios within enterprises, rather than public environments.
While we have made every effort to ensure the compliance of the data used during the model training process, unforeseen issues may arise due to the complexity of the model and data. We disclaim any responsibility for any problems caused by the use of the YuRen 13B open-source model, including but not limited to data security issues, public opinion risks, or any risks and issues arising from the model being misled, abused, disseminated, or improperly utilized.
We strongly advise implementing additional security measures when using the model, such as filtering, reviewing, or restricting the inputs and outputs of the model, to prevent harm to users. Technological development should take place in a regulated and lawful environment, and we hope that all users uphold this principle. We will continue to improve the training and use of the model to enhance its security and effectiveness.
羽人 13B 模型主要设计用于信息合成领域，包括构建智能代理、自然语言理解、生成SQL等业务场景，而并非直接用于向公众提供服务。我们强烈建议将此模型应用于企业内部的数据处理场景，而不是公开环境。
虽然我们已经尽可能确保模型训练过程中的数据合规性，但由于模型和数据的复杂性，可能存在无法预见的问题。如果由于使用羽人 13B 开源模型而导致的任何问题，包括但不限于数据安全问题、公共舆论风险，或模型被误导、滥用、传播或不当利用所带来的任何风险和问题，我们不承担任何责任。
我们强烈建议在使用模型时采用额外的安全措施，如对模型的输入输出进行过滤、审查或限制，以免对用户造成伤害。科技的发展应在规范和合法的环境下进行，我们希望所有使用者都能秉持这一原则。我们将持续改进模型的训练和使用，以提升其安全性和有效性。 | 33,956 | [
[
-0.037811279296875,
-0.04266357421875,
0.030242919921875,
0.0460205078125,
-0.018646240234375,
-0.0020904541015625,
-0.0096282958984375,
-0.01415252685546875,
0.035858154296875,
0.0416259765625,
-0.05413818359375,
-0.06329345703125,
-0.030548095703125,
0.030670166015625,
0.0006189346313476562,
0.0760498046875,
0.0292816162109375,
-0.0098876953125,
0.0048370361328125,
-0.0204315185546875,
-0.022796630859375,
-0.0450439453125,
-0.0248565673828125,
0.024139404296875,
0.0162200927734375,
0.0206756591796875,
0.0198822021484375,
0.046661376953125,
0.044525146484375,
0.021240234375,
0.00001150369644165039,
0.0294036865234375,
-0.0290069580078125,
0.004550933837890625,
-0.01265716552734375,
-0.032440185546875,
-0.0240478515625,
-0.0177154541015625,
0.034454345703125,
0.0478515625,
0.006954193115234375,
0.0196990966796875,
0.00702667236328125,
0.064453125,
-0.0256805419921875,
0.0262451171875,
-0.039337158203125,
-0.0145111083984375,
-0.0300445556640625,
-0.02325439453125,
-0.0211334228515625,
-0.0751953125,
-0.0200958251953125,
-0.03619384765625,
-0.0173492431640625,
0.005344390869140625,
0.070556640625,
-0.004657745361328125,
-0.0247650146484375,
-0.027740478515625,
-0.046722412109375,
0.049957275390625,
-0.059814453125,
0.0101318359375,
0.0297698974609375,
0.018585205078125,
-0.025970458984375,
-0.033905029296875,
-0.061676025390625,
0.003070831298828125,
-0.028106689453125,
0.01110076904296875,
-0.00690460205078125,
-0.0259246826171875,
0.013641357421875,
0.0251007080078125,
-0.050750732421875,
-0.0011663436889648438,
-0.019256591796875,
-0.00856781005859375,
0.0638427734375,
0.0335693359375,
0.0190582275390625,
-0.04327392578125,
-0.04339599609375,
-0.0002620220184326172,
-0.041351318359375,
0.0249481201171875,
0.0301055908203125,
0.0338134765625,
-0.03961181640625,
0.041839599609375,
-0.042388916015625,
0.03924560546875,
0.00494384765625,
-0.032135009765625,
0.0281524658203125,
-0.059814453125,
-0.009735107421875,
-0.0162353515625,
0.1038818359375,
0.044281005859375,
-0.00762939453125,
0.01345062255859375,
0.0005249977111816406,
-0.00225067138671875,
-0.0252532958984375,
-0.051849365234375,
0.0021991729736328125,
0.0302581787109375,
-0.04010009765625,
-0.0298309326171875,
0.02545166015625,
-0.07354736328125,
-0.015716552734375,
0.01248931884765625,
0.0127410888671875,
-0.0272216796875,
-0.02276611328125,
-0.011932373046875,
0.0170745849609375,
0.0110626220703125,
0.00022554397583007812,
-0.058807373046875,
0.032012939453125,
0.0391845703125,
0.0540771484375,
-0.0097503662109375,
-0.01122283935546875,
0.0011138916015625,
0.0269012451171875,
-0.014892578125,
0.03759765625,
-0.0243682861328125,
-0.031158447265625,
-0.00371551513671875,
0.0125885009765625,
-0.004940032958984375,
-0.029052734375,
0.049072265625,
-0.034454345703125,
0.02685546875,
-0.042724609375,
-0.0253143310546875,
-0.004665374755859375,
0.01021575927734375,
-0.0399169921875,
0.071533203125,
0.0152435302734375,
-0.050811767578125,
0.0218353271484375,
-0.033843994140625,
-0.037811279296875,
-0.0016775131225585938,
-0.0236663818359375,
-0.036041259765625,
-0.017852783203125,
0.024017333984375,
0.035003662109375,
-0.041015625,
0.0155487060546875,
-0.0074310302734375,
-0.01233673095703125,
0.0232086181640625,
-0.00896453857421875,
0.09429931640625,
0.030303955078125,
-0.016632080078125,
0.003437042236328125,
-0.044219970703125,
0.005550384521484375,
0.0176239013671875,
-0.034820556640625,
-0.006534576416015625,
-0.0278167724609375,
-0.002727508544921875,
0.03204345703125,
0.030242919921875,
-0.049407958984375,
0.026519775390625,
-0.0599365234375,
0.02587890625,
0.049407958984375,
0.036102294921875,
0.01161956787109375,
-0.03948974609375,
0.0164794921875,
0.0300445556640625,
0.007335662841796875,
-0.001361846923828125,
-0.038848876953125,
-0.052398681640625,
0.004596710205078125,
0.01334381103515625,
0.06414794921875,
-0.033172607421875,
0.0694580078125,
-0.044677734375,
-0.0283355712890625,
-0.038787841796875,
0.016326904296875,
0.0253448486328125,
0.028656005859375,
0.0343017578125,
-0.0238037109375,
-0.039520263671875,
-0.0770263671875,
-0.01171112060546875,
-0.0236053466796875,
0.007740020751953125,
0.052764892578125,
0.04656982421875,
-0.01120758056640625,
0.05657958984375,
-0.07135009765625,
-0.048004150390625,
-0.0191802978515625,
-0.00955963134765625,
0.041046142578125,
0.054718017578125,
0.046142578125,
-0.036041259765625,
-0.0626220703125,
0.004779815673828125,
-0.06158447265625,
0.006763458251953125,
-0.019622802734375,
-0.03240966796875,
0.041839599609375,
0.01335906982421875,
-0.0772705078125,
0.036895751953125,
0.0198974609375,
-0.02685546875,
0.0310821533203125,
-0.01107025146484375,
0.038177490234375,
-0.0892333984375,
-0.0172119140625,
-0.01415252685546875,
0.004116058349609375,
-0.031982421875,
-0.031646728515625,
0.01097869873046875,
-0.006664276123046875,
-0.0237884521484375,
0.0189361572265625,
-0.046630859375,
0.01108551025390625,
0.02288818359375,
-0.0005693435668945312,
-0.0183868408203125,
0.05804443359375,
-0.0281829833984375,
0.06414794921875,
0.047393798828125,
-0.04901123046875,
0.014984130859375,
0.0400390625,
-0.028961181640625,
0.04156494140625,
-0.037017822265625,
-0.0022144317626953125,
-0.0025768280029296875,
-0.0014505386352539062,
-0.09100341796875,
-0.03765869140625,
0.0416259765625,
-0.054718017578125,
0.003902435302734375,
-0.0004954338073730469,
-0.034088134765625,
-0.0301666259765625,
-0.032684326171875,
-0.004878997802734375,
0.03485107421875,
-0.025543212890625,
0.0289306640625,
0.03680419921875,
-0.0137481689453125,
-0.0295562744140625,
-0.048858642578125,
0.007564544677734375,
0.0150604248046875,
-0.0655517578125,
0.0218353271484375,
0.0009737014770507812,
-0.01416778564453125,
0.0216827392578125,
0.008941650390625,
-0.0008730888366699219,
-0.019256591796875,
0.02838134765625,
0.0017919540405273438,
-0.0040435791015625,
0.00042819976806640625,
0.006549835205078125,
-0.0125885009765625,
-0.01412200927734375,
0.00675201416015625,
0.06024169921875,
-0.0181427001953125,
-0.02679443359375,
-0.0645751953125,
0.041900634765625,
0.057342529296875,
-0.03839111328125,
0.0850830078125,
0.0322265625,
-0.0284271240234375,
0.006153106689453125,
-0.055328369140625,
-0.022674560546875,
-0.035186767578125,
0.026275634765625,
-0.030242919921875,
-0.055877685546875,
0.050811767578125,
0.02435302734375,
0.004611968994140625,
0.06036376953125,
0.053314208984375,
-0.0174102783203125,
0.0760498046875,
0.0257415771484375,
-0.0130157470703125,
0.01983642578125,
-0.0311126708984375,
0.01629638671875,
-0.028778076171875,
-0.034271240234375,
-0.037750244140625,
-0.005008697509765625,
-0.055938720703125,
-0.033477783203125,
0.03143310546875,
-0.03326416015625,
-0.01690673828125,
0.024200439453125,
-0.048309326171875,
0.00922393798828125,
0.037933349609375,
0.01415252685546875,
0.0173187255859375,
-0.01105499267578125,
0.0011005401611328125,
-0.01611328125,
-0.02337646484375,
-0.0325927734375,
0.08453369140625,
0.0004012584686279297,
0.056854248046875,
0.032989501953125,
0.05499267578125,
0.0195465087890625,
0.0139007568359375,
-0.0186004638671875,
0.061676025390625,
0.005863189697265625,
-0.0660400390625,
-0.01396942138671875,
-0.03875732421875,
-0.06390380859375,
0.0118255615234375,
-0.035400390625,
-0.0416259765625,
0.02606201171875,
-0.00907135009765625,
-0.0217742919921875,
0.023529052734375,
-0.05218505859375,
0.045318603515625,
-0.0289306640625,
-0.034423828125,
0.003833770751953125,
-0.06744384765625,
0.045257568359375,
0.00921630859375,
0.019927978515625,
-0.02581787109375,
-0.0183868408203125,
0.07269287109375,
-0.0445556640625,
0.03662109375,
-0.02227783203125,
0.035491943359375,
0.0194091796875,
0.0093994140625,
0.05120849609375,
0.0175018310546875,
-0.0081329345703125,
0.0070037841796875,
0.006595611572265625,
-0.018585205078125,
-0.031768798828125,
0.07928466796875,
-0.058319091796875,
-0.049560546875,
-0.04827880859375,
-0.0224151611328125,
-0.01282501220703125,
0.034515380859375,
0.0222625732421875,
0.011993408203125,
0.00870513916015625,
0.034454345703125,
0.033660888671875,
-0.024749755859375,
0.034027099609375,
0.0380859375,
0.0006976127624511719,
-0.0516357421875,
0.0653076171875,
0.0286102294921875,
0.011871337890625,
0.0267791748046875,
-0.01325225830078125,
-0.025787353515625,
-0.0498046875,
-0.02545166015625,
0.0418701171875,
-0.03515625,
-0.038909912109375,
-0.08453369140625,
-0.0023403167724609375,
-0.03961181640625,
0.010528564453125,
-0.01495361328125,
-0.025238037109375,
-0.03753662109375,
-0.01087188720703125,
0.02008056640625,
0.039794921875,
0.01715087890625,
0.0157928466796875,
-0.052703857421875,
0.01178741455078125,
0.00860595703125,
0.049072265625,
-0.006591796875,
-0.0264129638671875,
-0.0106048583984375,
0.005863189697265625,
-0.02679443359375,
-0.09796142578125,
0.053863525390625,
0.016448974609375,
0.035919189453125,
0.0255279541015625,
0.01172637939453125,
0.0684814453125,
-0.007106781005859375,
0.05859375,
0.00791168212890625,
-0.0526123046875,
0.054443359375,
-0.02801513671875,
0.006378173828125,
0.06536865234375,
0.054534912109375,
-0.03546142578125,
-0.049072265625,
-0.055419921875,
-0.04559326171875,
0.0440673828125,
0.02923583984375,
0.016204833984375,
-0.0020294189453125,
0.0251312255859375,
-0.00563812255859375,
0.010009765625,
-0.0615234375,
-0.059234619140625,
0.012939453125,
-0.024993896484375,
0.015838623046875,
-0.0307464599609375,
-0.0172119140625,
-0.03179931640625,
0.059814453125,
0.0159149169921875,
0.0347900390625,
0.02691650390625,
0.00788116455078125,
0.00649261474609375,
0.0203857421875,
0.040924072265625,
0.06036376953125,
-0.0257415771484375,
-0.01390838623046875,
0.01361083984375,
-0.033843994140625,
0.0028209686279296875,
0.002170562744140625,
-0.033477783203125,
-0.001316070556640625,
0.01430511474609375,
0.032684326171875,
-0.00852203369140625,
-0.04425048828125,
0.04150390625,
-0.0224456787109375,
-0.020843505859375,
-0.030181884765625,
0.0003459453582763672,
0.0226287841796875,
0.007358551025390625,
0.04144287109375,
0.01180267333984375,
-0.0028839111328125,
-0.04302978515625,
0.01430511474609375,
0.0352783203125,
-0.031402587890625,
-0.01393890380859375,
0.06463623046875,
-0.002323150634765625,
-0.019744873046875,
0.035614013671875,
-0.011199951171875,
-0.0302734375,
0.037109375,
0.03924560546875,
0.042877197265625,
-0.0036754608154296875,
-0.00754547119140625,
0.050750732421875,
0.0460205078125,
0.0103912353515625,
0.0489501953125,
0.0271759033203125,
-0.043121337890625,
0.0094451904296875,
-0.0545654296875,
0.0019512176513671875,
0.00691986083984375,
-0.02191162109375,
0.018218994140625,
-0.048553466796875,
-0.035125732421875,
0.0160675048828125,
0.0165557861328125,
-0.03265380859375,
0.00754547119140625,
-0.0287933349609375,
0.044403076171875,
-0.0797119140625,
0.040435791015625,
0.037872314453125,
-0.056854248046875,
-0.06512451171875,
-0.0199127197265625,
-0.002468109130859375,
-0.0341796875,
0.02252197265625,
-0.0110321044921875,
0.0253143310546875,
-0.02069091796875,
-0.031585693359375,
-0.06622314453125,
0.08050537109375,
0.01309967041015625,
-0.036651611328125,
0.0352783203125,
0.0123138427734375,
0.04925537109375,
-0.03717041015625,
0.0097808837890625,
0.0518798828125,
0.02752685546875,
-0.005527496337890625,
-0.060546875,
0.024993896484375,
-0.03271484375,
-0.0167999267578125,
0.01409149169921875,
-0.07159423828125,
0.087158203125,
-0.0071258544921875,
-0.00890350341796875,
-0.00774383544921875,
0.06591796875,
0.0154876708984375,
0.01004791259765625,
0.01983642578125,
0.03765869140625,
0.04864501953125,
-0.036773681640625,
0.0867919921875,
-0.0241241455078125,
0.0262298583984375,
0.049560546875,
0.00003725290298461914,
0.04803466796875,
0.027740478515625,
-0.03619384765625,
0.035797119140625,
0.043365478515625,
0.00030159950256347656,
0.046051025390625,
-0.020294189453125,
-0.0294189453125,
-0.0075836181640625,
-0.01593017578125,
-0.05047607421875,
0.0178375244140625,
0.0257415771484375,
-0.04376220703125,
0.0166015625,
-0.025390625,
0.029266357421875,
0.007061004638671875,
-0.002834320068359375,
0.07391357421875,
-0.0024776458740234375,
-0.0450439453125,
0.0540771484375,
0.010894775390625,
0.05194091796875,
-0.034759521484375,
0.0182952880859375,
-0.0281829833984375,
0.013214111328125,
-0.04052734375,
-0.05718994140625,
0.0236968994140625,
-0.00959014892578125,
-0.0158538818359375,
0.008331298828125,
0.034210205078125,
-0.03570556640625,
-0.05645751953125,
-0.01367950439453125,
0.03546142578125,
0.0026454925537109375,
0.01099395751953125,
-0.035919189453125,
0.0159759521484375,
0.02923583984375,
-0.0159759521484375,
0.0210113525390625,
0.025604248046875,
0.0004372596740722656,
0.060333251953125,
0.06402587890625,
0.029205322265625,
0.0029468536376953125,
-0.0278167724609375,
0.08026123046875,
-0.06512451171875,
-0.053985595703125,
-0.085205078125,
0.0296173095703125,
-0.029022216796875,
-0.0308380126953125,
0.066650390625,
0.06536865234375,
0.049072265625,
-0.0235137939453125,
0.06591796875,
-0.0322265625,
0.049652099609375,
-0.0164031982421875,
0.061767578125,
-0.045745849609375,
0.02130126953125,
-0.01800537109375,
-0.057281494140625,
-0.03582763671875,
0.029022216796875,
-0.039337158203125,
0.0019397735595703125,
0.029632568359375,
0.08905029296875,
0.01554107666015625,
-0.0019359588623046875,
-0.0033931732177734375,
0.02398681640625,
0.03302001953125,
0.0518798828125,
0.0308380126953125,
-0.037261962890625,
0.054840087890625,
-0.0462646484375,
-0.003559112548828125,
-0.03668212890625,
-0.035400390625,
-0.061798095703125,
-0.040252685546875,
-0.015625,
-0.0288848876953125,
-0.007526397705078125,
0.0784912109375,
0.038299560546875,
-0.08575439453125,
-0.033477783203125,
0.03033447265625,
0.027557373046875,
-0.02392578125,
-0.017425537109375,
0.046905517578125,
-0.0007200241088867188,
-0.037384033203125,
-0.003139495849609375,
0.0241546630859375,
0.00368499755859375,
0.0034427642822265625,
-0.01395416259765625,
-0.0419921875,
0.017608642578125,
0.049407958984375,
0.0240478515625,
-0.042724609375,
-0.0019989013671875,
0.00563812255859375,
-0.03887939453125,
0.0193023681640625,
0.01085662841796875,
-0.025604248046875,
0.026763916015625,
0.07080078125,
0.0212554931640625,
0.05499267578125,
0.036834716796875,
0.0016050338745117188,
-0.03271484375,
0.01537322998046875,
0.0244293212890625,
0.01047515869140625,
0.0158843994140625,
-0.04425048828125,
0.0322265625,
0.032012939453125,
-0.035308837890625,
-0.0753173828125,
-0.007152557373046875,
-0.0936279296875,
0.00441741943359375,
0.07025146484375,
-0.000058591365814208984,
-0.0189666748046875,
-0.003566741943359375,
-0.02178955078125,
0.0068359375,
-0.050262451171875,
0.0301055908203125,
0.0289306640625,
-0.0293731689453125,
0.005168914794921875,
-0.044891357421875,
0.0477294921875,
0.012908935546875,
-0.0767822265625,
-0.0083160400390625,
0.02581787109375,
0.03240966796875,
0.00901031494140625,
0.0789794921875,
-0.03472900390625,
0.01226806640625,
-0.01425933837890625,
-0.01265716552734375,
-0.0067291259765625,
-0.01020050048828125,
-0.0004220008850097656,
0.031646728515625,
-0.01357269287109375,
-0.01445770263671875
]
] |
Elie-B/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-25T14:21:14.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Elie-B | null | null | Elie-B/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-25T14:20:41 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 537.50 +/- 57.54
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Elie-B -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Elie-B -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga Elie-B
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 50000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,751 | [
[
-0.04345703125,
-0.03973388671875,
0.0192108154296875,
0.024932861328125,
-0.01070404052734375,
-0.0179443359375,
0.01043701171875,
-0.01308441162109375,
0.01248931884765625,
0.021881103515625,
-0.0712890625,
-0.03485107421875,
-0.02496337890625,
-0.003101348876953125,
-0.000579833984375,
0.074951171875,
-0.003246307373046875,
0.01038360595703125,
-0.01554107666015625,
-0.01467132568359375,
-0.025054931640625,
-0.0200347900390625,
-0.0526123046875,
-0.03240966796875,
0.0115203857421875,
0.01084136962890625,
0.061279296875,
0.071533203125,
0.039154052734375,
0.0274200439453125,
-0.01000213623046875,
-0.0038928985595703125,
-0.030426025390625,
-0.0039005279541015625,
0.0024871826171875,
-0.01812744140625,
-0.0283203125,
-0.0103759765625,
0.05169677734375,
0.006053924560546875,
-0.017303466796875,
0.019195556640625,
-0.01873779296875,
0.03057861328125,
-0.0386962890625,
0.035400390625,
-0.009063720703125,
0.03302001953125,
0.00396728515625,
-0.00994873046875,
0.00360107421875,
-0.0053863525390625,
-0.0005173683166503906,
-0.0859375,
0.0142974853515625,
0.0038852691650390625,
0.10137939453125,
0.038726806640625,
-0.021087646484375,
0.009307861328125,
-0.0445556640625,
0.05120849609375,
-0.06951904296875,
0.037109375,
0.01947021484375,
0.0313720703125,
-0.01534271240234375,
-0.06768798828125,
-0.0338134765625,
-0.017730712890625,
0.005046844482421875,
0.023895263671875,
-0.007396697998046875,
-0.0029430389404296875,
0.05352783203125,
0.0037593841552734375,
-0.045166015625,
0.0087432861328125,
-0.03643798828125,
-0.0160369873046875,
0.031829833984375,
0.041107177734375,
0.0090179443359375,
-0.01202392578125,
-0.035919189453125,
-0.043243408203125,
-0.0260467529296875,
0.0333251953125,
0.01390838623046875,
0.01209259033203125,
-0.0284881591796875,
0.042144775390625,
-0.0360107421875,
0.036590576171875,
0.00988006591796875,
-0.0159149169921875,
0.025726318359375,
-0.0217437744140625,
-0.0179443359375,
-0.029388427734375,
0.0660400390625,
0.048126220703125,
-0.012481689453125,
0.0186614990234375,
-0.025360107421875,
-0.0198516845703125,
0.0087890625,
-0.06500244140625,
-0.0248565673828125,
0.042022705078125,
-0.0243377685546875,
-0.00433349609375,
-0.005161285400390625,
-0.057220458984375,
-0.00812530517578125,
-0.00798797607421875,
0.03289794921875,
-0.046356201171875,
-0.01261138916015625,
-0.0003337860107421875,
-0.029693603515625,
0.0430908203125,
0.022064208984375,
-0.05987548828125,
0.0294342041015625,
0.03424072265625,
0.0579833984375,
0.007335662841796875,
-0.049346923828125,
-0.029022216796875,
0.0145416259765625,
-0.0291900634765625,
0.050048828125,
0.0018796920776367188,
-0.0231475830078125,
0.00016689300537109375,
0.012237548828125,
-0.0034923553466796875,
-0.033782958984375,
0.025360107421875,
-0.048309326171875,
0.0090179443359375,
-0.00756072998046875,
-0.03546142578125,
-0.025360107421875,
0.03790283203125,
-0.056304931640625,
0.08831787109375,
0.01220703125,
-0.05865478515625,
0.034698486328125,
-0.05194091796875,
-0.00312042236328125,
0.018951416015625,
-0.0027408599853515625,
-0.0594482421875,
-0.032318115234375,
0.01340484619140625,
0.039306640625,
0.0162506103515625,
0.0087432861328125,
-0.0345458984375,
-0.024871826171875,
0.01110076904296875,
0.0016336441040039062,
0.0699462890625,
0.0098114013671875,
-0.0311126708984375,
0.0179290771484375,
-0.060821533203125,
0.015167236328125,
0.017242431640625,
-0.040557861328125,
0.006786346435546875,
-0.0024776458740234375,
0.016632080078125,
0.02587890625,
0.0265960693359375,
-0.026641845703125,
0.00966644287109375,
-0.026519775390625,
0.03466796875,
0.037506103515625,
0.0191802978515625,
0.0154876708984375,
-0.0227813720703125,
0.037628173828125,
0.01407623291015625,
0.0237884521484375,
0.0168304443359375,
-0.0249786376953125,
-0.03948974609375,
-0.021484375,
-0.003879547119140625,
0.03192138671875,
-0.056793212890625,
0.037994384765625,
-0.01061248779296875,
-0.04071044921875,
-0.0175323486328125,
-0.00893402099609375,
0.030181884765625,
0.0157928466796875,
0.038177490234375,
0.00991058349609375,
-0.044769287109375,
-0.064453125,
0.009033203125,
-0.01348114013671875,
0.01141357421875,
0.03546142578125,
0.0784912109375,
-0.02899169921875,
0.056396484375,
-0.036529541015625,
-0.0167236328125,
-0.00612640380859375,
-0.019195556640625,
0.022369384765625,
0.056640625,
0.048919677734375,
-0.04290771484375,
-0.027099609375,
-0.0040283203125,
-0.0740966796875,
0.037506103515625,
0.0008893013000488281,
-0.00836944580078125,
0.0038051605224609375,
0.0328369140625,
-0.06988525390625,
0.032012939453125,
0.017486572265625,
-0.023223876953125,
0.05108642578125,
-0.029144287109375,
0.00864410400390625,
-0.06671142578125,
0.013214111328125,
0.008392333984375,
-0.01305389404296875,
-0.023956298828125,
0.037841796875,
0.006511688232421875,
-0.0201416015625,
-0.0634765625,
0.05328369140625,
-0.0274200439453125,
-0.00809478759765625,
0.0004298686981201172,
-0.0045013427734375,
-0.0016336441040039062,
0.050750732421875,
0.01425933837890625,
0.04595947265625,
0.06365966796875,
-0.06121826171875,
0.047760009765625,
0.029327392578125,
-0.0103302001953125,
0.00923919677734375,
-0.049102783203125,
-0.00901031494140625,
-0.0007343292236328125,
0.03436279296875,
-0.055389404296875,
-0.038360595703125,
0.043853759765625,
-0.036895751953125,
0.00855255126953125,
-0.0205230712890625,
-0.01788330078125,
-0.037200927734375,
-0.0227813720703125,
0.0255126953125,
0.02978515625,
-0.041900634765625,
0.026702880859375,
0.0208282470703125,
0.017242431640625,
-0.060211181640625,
-0.03460693359375,
-0.008270263671875,
-0.0312347412109375,
-0.04058837890625,
0.019134521484375,
-0.00940704345703125,
-0.0118865966796875,
0.0158538818359375,
-0.005794525146484375,
-0.0084991455078125,
0.0109710693359375,
0.016510009765625,
0.0228424072265625,
-0.0284881591796875,
-0.034576416015625,
-0.022308349609375,
-0.007122039794921875,
0.0289306640625,
-0.0224151611328125,
0.025421142578125,
-0.0220489501953125,
-0.006084442138671875,
-0.045989990234375,
-0.007221221923828125,
0.04425048828125,
0.002101898193359375,
0.0626220703125,
0.0572509765625,
-0.042694091796875,
-0.0225677490234375,
-0.01192474365234375,
-0.0175323486328125,
-0.0338134765625,
0.042877197265625,
-0.025360107421875,
-0.039703369140625,
0.057281494140625,
0.0079498291015625,
0.018096923828125,
0.045257568359375,
0.0237884521484375,
-0.01351165771484375,
0.08636474609375,
0.03814697265625,
0.005741119384765625,
0.0382080078125,
-0.0672607421875,
-0.02667236328125,
-0.06365966796875,
-0.033447265625,
-0.03729248046875,
0.0023860931396484375,
-0.031982421875,
-0.03448486328125,
0.030487060546875,
0.00876617431640625,
-0.05120849609375,
0.0316162109375,
-0.020904541015625,
0.03662109375,
0.0282440185546875,
0.00949859619140625,
-0.01824951171875,
0.003643035888671875,
-0.0265960693359375,
-0.008514404296875,
-0.06439208984375,
-0.0212249755859375,
0.0657958984375,
0.03985595703125,
0.059356689453125,
0.008392333984375,
0.046478271484375,
0.012542724609375,
-0.00460052490234375,
-0.04742431640625,
0.038726806640625,
0.01287078857421875,
-0.057220458984375,
-0.03759765625,
-0.0244598388671875,
-0.059967041015625,
0.036102294921875,
-0.021728515625,
-0.053619384765625,
0.01172637939453125,
0.00981903076171875,
-0.04547119140625,
0.0176849365234375,
-0.01910400390625,
0.07843017578125,
-0.01146697998046875,
-0.04766845703125,
-0.0052642822265625,
-0.05462646484375,
0.048492431640625,
0.0148773193359375,
0.0085296630859375,
0.005062103271484375,
-0.00984954833984375,
0.06951904296875,
-0.05108642578125,
0.042938232421875,
-0.04217529296875,
0.0234222412109375,
0.032257080078125,
0.0038280487060546875,
0.035736083984375,
0.037109375,
0.006687164306640625,
0.00882720947265625,
0.013702392578125,
-0.036712646484375,
-0.03265380859375,
0.054290771484375,
-0.10406494140625,
-0.036102294921875,
-0.050323486328125,
-0.0278167724609375,
-0.0031681060791015625,
0.020111083984375,
0.0205535888671875,
0.027557373046875,
-0.0179595947265625,
0.0253753662109375,
0.055999755859375,
-0.0204925537109375,
0.03411865234375,
0.044830322265625,
-0.0164794921875,
-0.0494384765625,
0.057464599609375,
-0.00836181640625,
-0.002071380615234375,
0.014251708984375,
0.0010051727294921875,
-0.04608154296875,
-0.03515625,
-0.053680419921875,
0.0140533447265625,
-0.056640625,
-0.0214691162109375,
-0.05181884765625,
-0.04541015625,
-0.036041259765625,
-0.00031495094299316406,
-0.035919189453125,
-0.020111083984375,
-0.030517578125,
-0.0074462890625,
0.03057861328125,
0.04217529296875,
-0.034027099609375,
0.030609130859375,
-0.05511474609375,
0.0273590087890625,
0.021942138671875,
0.009735107421875,
-0.004261016845703125,
-0.050506591796875,
-0.043121337890625,
0.00666046142578125,
-0.03668212890625,
-0.04541015625,
0.053131103515625,
0.0000286102294921875,
0.062469482421875,
0.034576416015625,
-0.0196533203125,
0.0665283203125,
-0.0202178955078125,
0.07122802734375,
0.00484466552734375,
-0.0501708984375,
0.03668212890625,
-0.041900634765625,
0.0172576904296875,
0.0251617431640625,
0.039276123046875,
-0.0246734619140625,
-0.0097808837890625,
-0.061431884765625,
-0.060821533203125,
0.08428955078125,
0.0177459716796875,
-0.0146942138671875,
0.0147857666015625,
0.033294677734375,
-0.0212554931640625,
-0.004058837890625,
-0.08331298828125,
-0.028289794921875,
-0.040679931640625,
0.0237579345703125,
-0.018524169921875,
0.023162841796875,
-0.0223541259765625,
-0.025848388671875,
0.078125,
-0.01256561279296875,
0.0227813720703125,
0.0214080810546875,
-0.0014514923095703125,
-0.0283966064453125,
-0.01812744140625,
0.047760009765625,
0.032623291015625,
-0.047149658203125,
-0.0238800048828125,
0.01352691650390625,
-0.028106689453125,
0.021575927734375,
0.0172882080078125,
-0.00922393798828125,
-0.009246826171875,
0.0311737060546875,
0.069580078125,
0.02337646484375,
-0.027923583984375,
0.04278564453125,
-0.02093505859375,
-0.035797119140625,
-0.0355224609375,
0.017791748046875,
0.008331298828125,
0.0302886962890625,
0.01126861572265625,
0.0229949951171875,
0.0012483596801757812,
-0.0222320556640625,
0.0097808837890625,
0.0301513671875,
-0.03436279296875,
-0.0164031982421875,
0.07275390625,
-0.001964569091796875,
-0.0170745849609375,
0.0638427734375,
-0.009429931640625,
-0.0307769775390625,
0.08734130859375,
0.040283203125,
0.056671142578125,
0.006313323974609375,
0.0205841064453125,
0.06121826171875,
0.01320648193359375,
-0.023040771484375,
0.0190582275390625,
0.0030040740966796875,
-0.0599365234375,
-0.0135955810546875,
-0.04229736328125,
-0.037506103515625,
0.03765869140625,
-0.06005859375,
0.0212554931640625,
-0.049652099609375,
-0.01386260986328125,
-0.0072021484375,
0.0299072265625,
-0.060302734375,
0.0189208984375,
0.01366424560546875,
0.086181640625,
-0.06396484375,
0.0601806640625,
0.07666015625,
-0.045257568359375,
-0.06915283203125,
-0.00679779052734375,
-0.0005846023559570312,
-0.048583984375,
0.0517578125,
-0.002529144287109375,
0.01081085205078125,
0.018157958984375,
-0.06365966796875,
-0.0894775390625,
0.1033935546875,
-0.00868988037109375,
-0.01995849609375,
0.01308441162109375,
-0.00391387939453125,
0.04632568359375,
-0.0262603759765625,
0.028594970703125,
0.0218353271484375,
0.040985107421875,
0.00574493408203125,
-0.03521728515625,
0.0025730133056640625,
-0.0225372314453125,
0.0027599334716796875,
-0.01033782958984375,
-0.0733642578125,
0.08831787109375,
-0.0242462158203125,
-0.003055572509765625,
0.01476287841796875,
0.06573486328125,
0.061279296875,
0.010040283203125,
0.032470703125,
0.056640625,
0.02960205078125,
0.004589080810546875,
0.058502197265625,
-0.032958984375,
0.043731689453125,
0.04986572265625,
-0.0251312255859375,
0.052459716796875,
0.01495361328125,
-0.0186004638671875,
0.0357666015625,
0.06549072265625,
-0.027099609375,
0.0413818359375,
0.012542724609375,
0.0026760101318359375,
-0.019256591796875,
0.025634765625,
-0.043243408203125,
0.01052093505859375,
0.0312042236328125,
0.012054443359375,
-0.0200958251953125,
-0.005889892578125,
-0.01397705078125,
-0.0237884521484375,
-0.02056884765625,
0.0611572265625,
-0.007396697998046875,
-0.05810546875,
0.061737060546875,
0.00814056396484375,
0.03240966796875,
-0.05291748046875,
-0.0141754150390625,
-0.0249481201171875,
0.02691650390625,
-0.019439697265625,
-0.0557861328125,
-0.0017538070678710938,
-0.01090240478515625,
-0.0035648345947265625,
0.0035495758056640625,
0.03985595703125,
-0.008056640625,
-0.01544952392578125,
0.034576416015625,
0.035736083984375,
0.0265655517578125,
0.018585205078125,
-0.083984375,
-0.007656097412109375,
-0.003711700439453125,
-0.037567138671875,
0.034912109375,
0.0374755859375,
0.00067138671875,
0.06781005859375,
0.045501708984375,
-0.004474639892578125,
0.0157470703125,
-0.016448974609375,
0.07342529296875,
-0.066650390625,
-0.046356201171875,
-0.038543701171875,
0.042083740234375,
0.00989532470703125,
-0.043670654296875,
0.056976318359375,
0.0667724609375,
0.0628662109375,
-0.03314208984375,
0.050506591796875,
-0.0171661376953125,
-0.0016527175903320312,
-0.039581298828125,
0.04986572265625,
-0.0472412109375,
0.002399444580078125,
-0.01102447509765625,
-0.058074951171875,
0.0002682209014892578,
0.054229736328125,
0.002490997314453125,
0.0052490234375,
0.049468994140625,
0.0770263671875,
-0.0190582275390625,
-0.013671875,
0.024078369140625,
0.0261383056640625,
0.01593017578125,
0.03497314453125,
0.0797119140625,
-0.053802490234375,
0.048583984375,
-0.04296875,
-0.009246826171875,
-0.0137481689453125,
-0.04962158203125,
-0.0548095703125,
-0.0251312255859375,
-0.035858154296875,
-0.050018310546875,
0.01214599609375,
0.06414794921875,
0.07275390625,
-0.053253173828125,
-0.03814697265625,
-0.0036678314208984375,
0.0011749267578125,
-0.03717041015625,
-0.0226593017578125,
0.0182037353515625,
-0.013397216796875,
-0.0467529296875,
0.036285400390625,
-0.00943756103515625,
0.01007843017578125,
-0.028289794921875,
-0.034881591796875,
-0.0242919921875,
-0.019256591796875,
0.010223388671875,
0.046661376953125,
-0.043121337890625,
-0.01611328125,
-0.0161590576171875,
-0.01812744140625,
0.002391815185546875,
0.02044677734375,
-0.06402587890625,
-0.004913330078125,
0.032501220703125,
0.01494598388671875,
0.063232421875,
0.0010089874267578125,
0.0234527587890625,
-0.04083251953125,
0.010223388671875,
0.015106201171875,
0.031585693359375,
0.00832366943359375,
-0.02734375,
0.03515625,
0.027862548828125,
-0.059967041015625,
-0.0528564453125,
-0.016357421875,
-0.0701904296875,
-0.026763916015625,
0.0802001953125,
-0.0294342041015625,
-0.044281005859375,
0.0006465911865234375,
-0.00815582275390625,
0.01459503173828125,
-0.034088134765625,
0.032958984375,
0.0328369140625,
-0.01702880859375,
0.002696990966796875,
-0.052734375,
0.055419921875,
0.004467010498046875,
-0.054046630859375,
-0.0168914794921875,
0.042938232421875,
0.040740966796875,
0.01340484619140625,
0.035369873046875,
0.0005664825439453125,
0.035888671875,
0.0278472900390625,
0.0205841064453125,
-0.0124359130859375,
-0.02911376953125,
-0.0455322265625,
0.0066070556640625,
-0.0105133056640625,
-0.0104827880859375
]
] |
Augusto777/vit-base-patch16-224-MSC-ARMD | 2023-09-25T22:11:03.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Augusto777 | null | null | Augusto777/vit-base-patch16-224-MSC-ARMD | 0 | 2 | transformers | 2023-09-25T16:42:15 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-MSC-ARMD
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-MSC-ARMD
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5850
- Accuracy: 0.9
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 14
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.67 | 1 | 1.4427 | 0.25 |
| No log | 2.0 | 3 | 1.1572 | 0.65 |
| No log | 2.67 | 4 | 1.0862 | 0.65 |
| No log | 4.0 | 6 | 0.8420 | 0.85 |
| No log | 4.67 | 7 | 0.7760 | 0.85 |
| No log | 6.0 | 9 | 0.6919 | 0.75 |
| 1.0431 | 6.67 | 10 | 0.6586 | 0.8 |
| 1.0431 | 8.0 | 12 | 0.5991 | 0.85 |
| 1.0431 | 8.67 | 13 | 0.5850 | 0.9 |
| 1.0431 | 9.33 | 14 | 0.5747 | 0.9 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 2,064 | [
[
-0.037017822265625,
-0.048614501953125,
0.0041046142578125,
0.0032196044921875,
-0.02099609375,
-0.0190582275390625,
-0.00785064697265625,
-0.01171112060546875,
0.0195159912109375,
0.0277557373046875,
-0.050750732421875,
-0.048065185546875,
-0.050933837890625,
-0.018524169921875,
-0.00865936279296875,
0.07958984375,
0.0027179718017578125,
0.0263519287109375,
0.0026912689208984375,
-0.006443023681640625,
-0.0372314453125,
-0.038604736328125,
-0.05792236328125,
-0.041290283203125,
0.014434814453125,
0.0273284912109375,
0.05047607421875,
0.06573486328125,
0.057342529296875,
0.0198974609375,
-0.0282440185546875,
0.0011310577392578125,
-0.040771484375,
-0.03338623046875,
0.005886077880859375,
-0.0298614501953125,
-0.054931640625,
-0.0015811920166015625,
0.0518798828125,
0.0230560302734375,
-0.0117950439453125,
0.038299560546875,
0.005786895751953125,
0.043792724609375,
-0.034576416015625,
0.01117706298828125,
-0.035919189453125,
0.01442718505859375,
-0.012359619140625,
-0.0299835205078125,
-0.0162811279296875,
0.0001672506332397461,
-0.0014467239379882812,
-0.041473388671875,
0.04296875,
-0.00225830078125,
0.1004638671875,
0.0234527587890625,
-0.0184783935546875,
0.0203704833984375,
-0.05255126953125,
0.046234130859375,
-0.04949951171875,
0.018524169921875,
0.0245819091796875,
0.030548095703125,
0.004558563232421875,
-0.0455322265625,
-0.0280914306640625,
0.0011911392211914062,
0.003803253173828125,
0.01041412353515625,
-0.0152130126953125,
0.0030727386474609375,
0.051971435546875,
0.052703857421875,
-0.046661376953125,
0.0101470947265625,
-0.04180908203125,
-0.01763916015625,
0.04315185546875,
0.03253173828125,
-0.001735687255859375,
-0.0194244384765625,
-0.0439453125,
-0.0124969482421875,
-0.032745361328125,
0.01282501220703125,
0.042388916015625,
0.0187835693359375,
-0.0340576171875,
0.040924072265625,
-0.0190582275390625,
0.056396484375,
0.01529693603515625,
-0.005733489990234375,
0.049407958984375,
-0.00920867919921875,
-0.041107177734375,
-0.006824493408203125,
0.059234619140625,
0.051544189453125,
0.01336669921875,
0.0170440673828125,
-0.0205078125,
-0.0047149658203125,
0.02569580078125,
-0.06866455078125,
-0.025848388671875,
0.00690460205078125,
-0.038482666015625,
-0.049896240234375,
0.0128173828125,
-0.044525146484375,
0.01421356201171875,
-0.0281982421875,
0.0374755859375,
-0.026885986328125,
-0.0205230712890625,
0.0008835792541503906,
-0.0090179443359375,
0.0266265869140625,
0.01264190673828125,
-0.06573486328125,
0.02874755859375,
0.03363037109375,
0.049102783203125,
0.0006237030029296875,
-0.0162200927734375,
-0.0108795166015625,
-0.002689361572265625,
-0.0298614501953125,
0.04119873046875,
-0.0097503662109375,
-0.033538818359375,
-0.0175323486328125,
0.0256500244140625,
-0.0132598876953125,
-0.031585693359375,
0.0504150390625,
-0.0171356201171875,
0.0113677978515625,
-0.0225372314453125,
-0.03302001953125,
-0.0149078369140625,
0.03521728515625,
-0.0509033203125,
0.09735107421875,
0.01544189453125,
-0.06512451171875,
0.042724609375,
-0.041229248046875,
0.007904052734375,
0.0012302398681640625,
-0.01110076904296875,
-0.061126708984375,
-0.01338958740234375,
0.0120086669921875,
0.0292816162109375,
-0.0236358642578125,
0.0208587646484375,
-0.01885986328125,
-0.039703369140625,
-0.010711669921875,
-0.0472412109375,
0.06201171875,
0.008941650390625,
-0.0462646484375,
0.01403045654296875,
-0.08770751953125,
0.0210723876953125,
0.0238800048828125,
-0.0263824462890625,
0.00016367435455322266,
-0.0333251953125,
0.0249481201171875,
0.016082763671875,
0.02001953125,
-0.038970947265625,
0.018280029296875,
-0.02984619140625,
0.0233917236328125,
0.05517578125,
0.01348876953125,
0.0091400146484375,
-0.0374755859375,
0.0310821533203125,
0.0210723876953125,
0.0311737060546875,
0.0080718994140625,
-0.045867919921875,
-0.06427001953125,
-0.021636962890625,
0.01148223876953125,
0.032073974609375,
-0.02313232421875,
0.04840087890625,
-0.0160369873046875,
-0.0584716796875,
-0.0159454345703125,
0.0029354095458984375,
0.0382080078125,
0.048248291015625,
0.037261962890625,
-0.01788330078125,
-0.03582763671875,
-0.08807373046875,
-0.00481414794921875,
-0.01157379150390625,
0.0247039794921875,
0.021759033203125,
0.05255126953125,
-0.0172576904296875,
0.059112548828125,
-0.04559326171875,
-0.015899658203125,
-0.0135650634765625,
0.0014133453369140625,
0.027923583984375,
0.06414794921875,
0.0565185546875,
-0.03875732421875,
-0.01751708984375,
-0.00243377685546875,
-0.05352783203125,
0.0276336669921875,
-0.00853729248046875,
-0.0243682861328125,
-0.01059722900390625,
0.0178985595703125,
-0.042022705078125,
0.06427001953125,
0.02899169921875,
-0.034698486328125,
0.059051513671875,
-0.032623291015625,
0.0095977783203125,
-0.0927734375,
0.024810791015625,
0.0143890380859375,
-0.021453857421875,
-0.0278778076171875,
0.0047149658203125,
0.01145172119140625,
-0.00905609130859375,
-0.02899169921875,
0.048858642578125,
-0.0211944580078125,
0.01178741455078125,
-0.00537872314453125,
-0.042449951171875,
-0.0013780593872070312,
0.056854248046875,
0.00627899169921875,
0.06011962890625,
0.041259765625,
-0.0347900390625,
0.0273895263671875,
0.024749755859375,
-0.0203704833984375,
0.038055419921875,
-0.059295654296875,
-0.0023174285888671875,
0.00441741943359375,
-0.00478363037109375,
-0.058441162109375,
-0.0207061767578125,
0.02984619140625,
-0.042388916015625,
0.024169921875,
-0.0301513671875,
-0.00782012939453125,
-0.038848876953125,
-0.01806640625,
0.02264404296875,
0.038116455078125,
-0.030487060546875,
0.030487060546875,
-0.0019664764404296875,
0.0208892822265625,
-0.054779052734375,
-0.0657958984375,
-0.01342010498046875,
-0.01340484619140625,
-0.0399169921875,
0.025299072265625,
-0.00458526611328125,
0.00010389089584350586,
-0.0001850128173828125,
-0.0113525390625,
-0.022979736328125,
-0.005859375,
0.035400390625,
0.0310211181640625,
-0.02685546875,
-0.010589599609375,
-0.00934600830078125,
-0.0176849365234375,
0.0200653076171875,
0.0017375946044921875,
0.035003662109375,
-0.01500701904296875,
-0.036834716796875,
-0.052459716796875,
-0.00138092041015625,
0.04290771484375,
-0.01378631591796875,
0.06085205078125,
0.059051513671875,
-0.040496826171875,
-0.0031414031982421875,
-0.0391845703125,
-0.01416015625,
-0.03216552734375,
0.033935546875,
-0.036407470703125,
-0.0239715576171875,
0.05877685546875,
0.00786590576171875,
0.00594329833984375,
0.079345703125,
0.044036865234375,
0.01238250732421875,
0.07940673828125,
0.019073486328125,
-0.0013456344604492188,
0.0309295654296875,
-0.0748291015625,
-0.016265869140625,
-0.0587158203125,
-0.033447265625,
-0.0307159423828125,
-0.021392822265625,
-0.04827880859375,
-0.0167694091796875,
0.0103607177734375,
0.003185272216796875,
-0.05255126953125,
0.0247802734375,
-0.052978515625,
0.026885986328125,
0.057220458984375,
0.03778076171875,
0.001827239990234375,
0.00421142578125,
-0.025634765625,
-0.004375457763671875,
-0.056060791015625,
-0.0288238525390625,
0.09747314453125,
0.02703857421875,
0.0518798828125,
-0.01050567626953125,
0.051025390625,
0.008056640625,
0.00862884521484375,
-0.039794921875,
0.0239715576171875,
0.0092620849609375,
-0.07501220703125,
-0.01519775390625,
-0.031646728515625,
-0.055908203125,
0.01354217529296875,
-0.030914306640625,
-0.04718017578125,
0.032867431640625,
0.032501220703125,
-0.025909423828125,
0.044219970703125,
-0.046234130859375,
0.08905029296875,
-0.01422119140625,
-0.031890869140625,
-0.0036182403564453125,
-0.0389404296875,
0.020294189453125,
0.009918212890625,
-0.00859832763671875,
-0.002147674560546875,
0.018341064453125,
0.062744140625,
-0.0535888671875,
0.044891357421875,
-0.0233306884765625,
0.033782958984375,
0.0273895263671875,
-0.0160369873046875,
0.052337646484375,
0.0201568603515625,
-0.0014467239379882812,
0.0075225830078125,
0.001804351806640625,
-0.05029296875,
-0.0302581787109375,
0.06036376953125,
-0.083984375,
-0.0259857177734375,
-0.046112060546875,
-0.021881103515625,
0.00278472900390625,
0.0206298828125,
0.05181884765625,
0.0582275390625,
-0.0128631591796875,
0.0233306884765625,
0.053253173828125,
0.004909515380859375,
0.02069091796875,
0.0140533447265625,
0.0023365020751953125,
-0.045623779296875,
0.06573486328125,
-0.0008015632629394531,
0.0211639404296875,
0.0017366409301757812,
0.004486083984375,
-0.01380157470703125,
-0.034210205078125,
-0.05242919921875,
0.0119781494140625,
-0.047943115234375,
-0.018707275390625,
-0.0275726318359375,
-0.034515380859375,
-0.023223876953125,
-0.00679779052734375,
-0.03985595703125,
-0.0208282470703125,
-0.038116455078125,
-0.02130126953125,
0.040008544921875,
0.034423828125,
0.00574493408203125,
0.038543701171875,
-0.04547119140625,
0.0010404586791992188,
0.01190185546875,
0.0249786376953125,
-0.0055999755859375,
-0.058807373046875,
-0.027801513671875,
0.0030117034912109375,
-0.032379150390625,
-0.052978515625,
0.040679931640625,
-0.0013780593872070312,
0.054443359375,
0.035980224609375,
-0.021636962890625,
0.07232666015625,
-0.0204925537109375,
0.0648193359375,
0.0306243896484375,
-0.040008544921875,
0.035400390625,
-0.031341552734375,
0.025665283203125,
0.046112060546875,
0.0252227783203125,
-0.0122222900390625,
-0.005786895751953125,
-0.09625244140625,
-0.062103271484375,
0.052978515625,
0.02435302734375,
-0.0011348724365234375,
0.0087890625,
0.031097412109375,
-0.0226287841796875,
0.008575439453125,
-0.05230712890625,
-0.047454833984375,
-0.0213623046875,
-0.0123748779296875,
-0.0087127685546875,
-0.0173797607421875,
-0.0106201171875,
-0.048492431640625,
0.06939697265625,
0.0016832351684570312,
0.0361328125,
0.01885986328125,
0.00188446044921875,
-0.01320648193359375,
-0.0008521080017089844,
0.049163818359375,
0.060638427734375,
-0.04339599609375,
-0.0113983154296875,
0.0207366943359375,
-0.052825927734375,
0.0015211105346679688,
0.012176513671875,
-0.01004791259765625,
0.013580322265625,
0.0289459228515625,
0.0777587890625,
0.01500701904296875,
-0.01019287109375,
0.04736328125,
-0.0015764236450195312,
-0.033935546875,
-0.032440185546875,
0.008056640625,
-0.0084991455078125,
0.00872802734375,
0.019134521484375,
0.04327392578125,
0.00839996337890625,
-0.01203155517578125,
0.0139007568359375,
0.018524169921875,
-0.05303955078125,
-0.014617919921875,
0.0662841796875,
0.005970001220703125,
-0.0179443359375,
0.049285888671875,
0.002292633056640625,
-0.0226898193359375,
0.07366943359375,
0.020599365234375,
0.06109619140625,
-0.0243377685546875,
-0.00567626953125,
0.06610107421875,
0.0224456787109375,
-0.01123046875,
0.040863037109375,
0.0189056396484375,
-0.0300140380859375,
-0.013916015625,
-0.047027587890625,
-0.008941650390625,
0.035491943359375,
-0.08514404296875,
0.0382080078125,
-0.035736083984375,
-0.04351806640625,
0.0135650634765625,
0.00827789306640625,
-0.0791015625,
0.050750732421875,
-0.0029964447021484375,
0.0860595703125,
-0.070556640625,
0.054443359375,
0.050994873046875,
-0.037200927734375,
-0.0777587890625,
-0.0277862548828125,
-0.005588531494140625,
-0.0740966796875,
0.043060302734375,
-0.002475738525390625,
0.0229339599609375,
0.00685882568359375,
-0.03472900390625,
-0.0565185546875,
0.0831298828125,
0.016510009765625,
-0.05084228515625,
-0.002712249755859375,
0.0092620849609375,
0.0391845703125,
-0.00833892822265625,
0.0450439453125,
0.0182037353515625,
0.022064208984375,
0.01175689697265625,
-0.06939697265625,
-0.00463104248046875,
-0.034271240234375,
0.00945281982421875,
0.01507568359375,
-0.055419921875,
0.077392578125,
-0.0005068778991699219,
0.042816162109375,
0.003963470458984375,
0.039520263671875,
0.0178070068359375,
0.0110015869140625,
0.0270538330078125,
0.0726318359375,
0.03668212890625,
-0.0131378173828125,
0.0704345703125,
-0.043792724609375,
0.060638427734375,
0.072998046875,
0.025909423828125,
0.04620361328125,
0.031982421875,
-0.016021728515625,
0.02789306640625,
0.06695556640625,
-0.02679443359375,
0.02423095703125,
0.0109710693359375,
-0.0023174285888671875,
-0.036712646484375,
0.0261993408203125,
-0.058380126953125,
0.015777587890625,
0.00841522216796875,
-0.05950927734375,
-0.016510009765625,
-0.017120361328125,
-0.006015777587890625,
-0.0193023681640625,
-0.036834716796875,
0.03912353515625,
-0.0231170654296875,
-0.0234222412109375,
0.05889892578125,
0.003818511962890625,
0.023834228515625,
-0.0450439453125,
-0.01552581787109375,
-0.00458526611328125,
0.0316162109375,
-0.0302581787109375,
-0.047332763671875,
0.01424407958984375,
0.0021820068359375,
-0.0201263427734375,
0.004364013671875,
0.03961181640625,
-0.01007080078125,
-0.05865478515625,
0.0003390312194824219,
0.0242462158203125,
0.01126861572265625,
0.00010788440704345703,
-0.07342529296875,
-0.0044097900390625,
0.001575469970703125,
-0.047576904296875,
0.00848388671875,
0.0258331298828125,
-0.00801849365234375,
0.042938232421875,
0.048583984375,
0.006206512451171875,
0.014862060546875,
-0.0014581680297851562,
0.086181640625,
-0.048828125,
-0.049591064453125,
-0.052398681640625,
0.03887939453125,
-0.0211639404296875,
-0.06903076171875,
0.0479736328125,
0.0792236328125,
0.0545654296875,
-0.0131988525390625,
0.043487548828125,
0.0055389404296875,
0.0299224853515625,
-0.03521728515625,
0.04644775390625,
-0.043670654296875,
-0.001842498779296875,
-0.01959228515625,
-0.06097412109375,
-0.0083160400390625,
0.048828125,
-0.02923583984375,
0.01403045654296875,
0.034423828125,
0.0631103515625,
-0.0082244873046875,
-0.006145477294921875,
0.014739990234375,
-0.001922607421875,
0.00799560546875,
0.0303192138671875,
0.0308380126953125,
-0.06243896484375,
0.037567138671875,
-0.039581298828125,
-0.009185791015625,
-0.0190277099609375,
-0.0372314453125,
-0.072265625,
-0.025482177734375,
-0.037078857421875,
-0.038299560546875,
0.01157379150390625,
0.08001708984375,
0.06793212890625,
-0.052978515625,
-0.0153656005859375,
-0.01268768310546875,
-0.0252227783203125,
-0.0248870849609375,
-0.0155487060546875,
0.040771484375,
-0.0041961669921875,
-0.05218505859375,
-0.01031494140625,
-0.018280029296875,
0.020965576171875,
-0.0170440673828125,
-0.0181732177734375,
-0.0150909423828125,
-0.0194854736328125,
0.00429534912109375,
0.00873565673828125,
-0.039276123046875,
-0.024200439453125,
-0.00432586669921875,
-0.013946533203125,
0.0272216796875,
0.02276611328125,
-0.035064697265625,
0.035400390625,
0.033416748046875,
0.0268707275390625,
0.06390380859375,
0.00624847412109375,
0.020355224609375,
-0.0511474609375,
0.022735595703125,
0.0138702392578125,
0.0262603759765625,
0.00467681884765625,
-0.03509521484375,
0.037811279296875,
0.04388427734375,
-0.0439453125,
-0.06109619140625,
-0.0211639404296875,
-0.0916748046875,
0.012115478515625,
0.09185791015625,
-0.00498199462890625,
-0.04168701171875,
0.024169921875,
-0.0186920166015625,
0.016326904296875,
-0.0268096923828125,
0.0207977294921875,
0.05133056640625,
0.0038242340087890625,
0.00025343894958496094,
-0.0491943359375,
0.04345703125,
0.00650787353515625,
-0.04022216796875,
-0.0159454345703125,
0.01910400390625,
0.045135498046875,
0.0025920867919921875,
0.031219482421875,
-0.00926971435546875,
0.03167724609375,
0.0173797607421875,
0.033233642578125,
-0.028656005859375,
-0.01036834716796875,
-0.0256805419921875,
-0.0003426074981689453,
0.00873565673828125,
-0.042724609375
]
] |
AmirH98/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-25T18:42:43.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | AmirH98 | null | null | AmirH98/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-25T18:42:01 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 635.00 +/- 194.37
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga AmirH98 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga AmirH98 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga AmirH98
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,756 | [
[
-0.043487548828125,
-0.039459228515625,
0.0203399658203125,
0.024566650390625,
-0.01087188720703125,
-0.0168609619140625,
0.01029205322265625,
-0.0132904052734375,
0.01100921630859375,
0.02154541015625,
-0.07122802734375,
-0.03497314453125,
-0.0247039794921875,
-0.002368927001953125,
-0.00022029876708984375,
0.07440185546875,
-0.00276947021484375,
0.010711669921875,
-0.0162811279296875,
-0.0159454345703125,
-0.0250396728515625,
-0.020843505859375,
-0.052581787109375,
-0.032867431640625,
0.0111083984375,
0.011932373046875,
0.06121826171875,
0.07183837890625,
0.040191650390625,
0.027587890625,
-0.0098876953125,
-0.00452423095703125,
-0.031402587890625,
-0.004241943359375,
0.0031890869140625,
-0.0174713134765625,
-0.028411865234375,
-0.009521484375,
0.0523681640625,
0.006381988525390625,
-0.017974853515625,
0.020050048828125,
-0.0186004638671875,
0.03070068359375,
-0.038543701171875,
0.034759521484375,
-0.00992584228515625,
0.032867431640625,
0.0037517547607421875,
-0.010345458984375,
0.003910064697265625,
-0.004669189453125,
-0.0014524459838867188,
-0.08514404296875,
0.01366424560546875,
0.00496673583984375,
0.1004638671875,
0.03839111328125,
-0.0200653076171875,
0.009246826171875,
-0.0445556640625,
0.051788330078125,
-0.070068359375,
0.037384033203125,
0.02020263671875,
0.0307464599609375,
-0.0153350830078125,
-0.06695556640625,
-0.034271240234375,
-0.017486572265625,
0.0055084228515625,
0.02374267578125,
-0.00775146484375,
-0.00232696533203125,
0.0538330078125,
0.004009246826171875,
-0.0458984375,
0.008575439453125,
-0.03643798828125,
-0.0152435302734375,
0.0318603515625,
0.040985107421875,
0.00965118408203125,
-0.01293182373046875,
-0.0361328125,
-0.043060302734375,
-0.0264892578125,
0.033294677734375,
0.01319122314453125,
0.0110931396484375,
-0.029266357421875,
0.041412353515625,
-0.034942626953125,
0.0367431640625,
0.00972747802734375,
-0.0162506103515625,
0.025238037109375,
-0.0217132568359375,
-0.0186614990234375,
-0.029266357421875,
0.0667724609375,
0.048126220703125,
-0.01352691650390625,
0.0179595947265625,
-0.0243988037109375,
-0.01873779296875,
0.0092010498046875,
-0.0655517578125,
-0.024566650390625,
0.04290771484375,
-0.0247344970703125,
-0.0044403076171875,
-0.005767822265625,
-0.05682373046875,
-0.007442474365234375,
-0.00817108154296875,
0.031890869140625,
-0.04669189453125,
-0.01276397705078125,
-0.0018024444580078125,
-0.02899169921875,
0.042510986328125,
0.023162841796875,
-0.059783935546875,
0.028839111328125,
0.034759521484375,
0.05865478515625,
0.00650787353515625,
-0.04931640625,
-0.029327392578125,
0.0146484375,
-0.029632568359375,
0.04901123046875,
0.00080108642578125,
-0.02337646484375,
0.0003676414489746094,
0.01126861572265625,
-0.00255584716796875,
-0.0341796875,
0.0253448486328125,
-0.048492431640625,
0.00884246826171875,
-0.007701873779296875,
-0.035491943359375,
-0.0240020751953125,
0.0384521484375,
-0.0557861328125,
0.08935546875,
0.013397216796875,
-0.05841064453125,
0.034515380859375,
-0.05230712890625,
-0.003040313720703125,
0.019805908203125,
-0.00453948974609375,
-0.059356689453125,
-0.032318115234375,
0.0121002197265625,
0.0384521484375,
0.01605224609375,
0.0098419189453125,
-0.03466796875,
-0.024932861328125,
0.011474609375,
0.0024242401123046875,
0.07080078125,
0.00969696044921875,
-0.03155517578125,
0.0177764892578125,
-0.061553955078125,
0.0160980224609375,
0.0165252685546875,
-0.0418701171875,
0.00605010986328125,
-0.003475189208984375,
0.01611328125,
0.026153564453125,
0.025299072265625,
-0.026123046875,
0.01049041748046875,
-0.025909423828125,
0.034088134765625,
0.038604736328125,
0.018035888671875,
0.015960693359375,
-0.0223541259765625,
0.0379638671875,
0.0128936767578125,
0.024322509765625,
0.017181396484375,
-0.02581787109375,
-0.039581298828125,
-0.0213470458984375,
-0.00511932373046875,
0.0308990478515625,
-0.057342529296875,
0.0367431640625,
-0.01082611083984375,
-0.0406494140625,
-0.018768310546875,
-0.0093994140625,
0.031585693359375,
0.0165252685546875,
0.03851318359375,
0.009796142578125,
-0.045135498046875,
-0.06414794921875,
0.007732391357421875,
-0.01410675048828125,
0.01091766357421875,
0.035797119140625,
0.078857421875,
-0.0283355712890625,
0.05609130859375,
-0.035614013671875,
-0.016632080078125,
-0.00588226318359375,
-0.018646240234375,
0.0224761962890625,
0.05609130859375,
0.049285888671875,
-0.0438232421875,
-0.0274505615234375,
-0.004894256591796875,
-0.07440185546875,
0.038360595703125,
0.0013904571533203125,
-0.009002685546875,
0.003662109375,
0.03289794921875,
-0.06951904296875,
0.031463623046875,
0.0186309814453125,
-0.022979736328125,
0.051116943359375,
-0.0293121337890625,
0.00998687744140625,
-0.067626953125,
0.0142059326171875,
0.006626129150390625,
-0.01385498046875,
-0.02532958984375,
0.03802490234375,
0.00677490234375,
-0.021087646484375,
-0.06365966796875,
0.0523681640625,
-0.02899169921875,
-0.00850677490234375,
-0.0006589889526367188,
-0.004802703857421875,
-0.001987457275390625,
0.051422119140625,
0.013214111328125,
0.0458984375,
0.06280517578125,
-0.06231689453125,
0.048095703125,
0.0306243896484375,
-0.0111236572265625,
0.010162353515625,
-0.048126220703125,
-0.00823211669921875,
-0.0004394054412841797,
0.034637451171875,
-0.05487060546875,
-0.039398193359375,
0.043853759765625,
-0.037078857421875,
0.00794219970703125,
-0.0216827392578125,
-0.017974853515625,
-0.037200927734375,
-0.0225067138671875,
0.025360107421875,
0.030120849609375,
-0.0418701171875,
0.0263519287109375,
0.0216522216796875,
0.0183563232421875,
-0.060699462890625,
-0.034698486328125,
-0.007190704345703125,
-0.03192138671875,
-0.040618896484375,
0.020050048828125,
-0.01044464111328125,
-0.0125579833984375,
0.0154266357421875,
-0.006267547607421875,
-0.00812530517578125,
0.0118255615234375,
0.017547607421875,
0.0225372314453125,
-0.0276031494140625,
-0.035369873046875,
-0.0230712890625,
-0.006259918212890625,
0.0291290283203125,
-0.0216217041015625,
0.0262908935546875,
-0.02154541015625,
-0.0061492919921875,
-0.045623779296875,
-0.00551605224609375,
0.0445556640625,
0.0019044876098632812,
0.06280517578125,
0.056396484375,
-0.0430908203125,
-0.022369384765625,
-0.01151275634765625,
-0.0173797607421875,
-0.034027099609375,
0.04278564453125,
-0.0249176025390625,
-0.03997802734375,
0.056365966796875,
0.00800323486328125,
0.01788330078125,
0.044677734375,
0.0242767333984375,
-0.0135955810546875,
0.08648681640625,
0.03826904296875,
0.005657196044921875,
0.038330078125,
-0.0667724609375,
-0.02691650390625,
-0.064208984375,
-0.033447265625,
-0.037994384765625,
0.0026454925537109375,
-0.033050537109375,
-0.034637451171875,
0.030975341796875,
0.0091094970703125,
-0.0509033203125,
0.0321044921875,
-0.021148681640625,
0.03619384765625,
0.028717041015625,
0.0083160400390625,
-0.017822265625,
0.003704071044921875,
-0.0262451171875,
-0.00852203369140625,
-0.06365966796875,
-0.0206298828125,
0.0648193359375,
0.038909912109375,
0.058837890625,
0.0098876953125,
0.046630859375,
0.01297760009765625,
-0.0035114288330078125,
-0.046417236328125,
0.038787841796875,
0.01345062255859375,
-0.05755615234375,
-0.03692626953125,
-0.026092529296875,
-0.059600830078125,
0.03546142578125,
-0.0216827392578125,
-0.05377197265625,
0.01226806640625,
0.01038360595703125,
-0.045318603515625,
0.0179595947265625,
-0.0182647705078125,
0.078125,
-0.01161956787109375,
-0.046539306640625,
-0.004726409912109375,
-0.05517578125,
0.04742431640625,
0.01523590087890625,
0.00998687744140625,
0.004306793212890625,
-0.00839996337890625,
0.0703125,
-0.050323486328125,
0.042388916015625,
-0.042022705078125,
0.0230712890625,
0.0307159423828125,
0.004123687744140625,
0.03533935546875,
0.0372314453125,
0.0059661865234375,
0.00907135009765625,
0.0134124755859375,
-0.035736083984375,
-0.032867431640625,
0.054473876953125,
-0.1036376953125,
-0.03680419921875,
-0.050140380859375,
-0.0271453857421875,
-0.003673553466796875,
0.0200347900390625,
0.0216522216796875,
0.0279693603515625,
-0.0179595947265625,
0.0257568359375,
0.05560302734375,
-0.020294189453125,
0.03485107421875,
0.045501708984375,
-0.0161285400390625,
-0.049530029296875,
0.05706787109375,
-0.00852203369140625,
-0.000705718994140625,
0.0142059326171875,
0.0014524459838867188,
-0.045257568359375,
-0.035797119140625,
-0.054779052734375,
0.0130462646484375,
-0.056365966796875,
-0.02215576171875,
-0.05206298828125,
-0.04473876953125,
-0.0367431640625,
0.00018286705017089844,
-0.03619384765625,
-0.0195770263671875,
-0.030975341796875,
-0.0067596435546875,
0.0300140380859375,
0.04150390625,
-0.03277587890625,
0.0301666259765625,
-0.05584716796875,
0.0272369384765625,
0.020477294921875,
0.0105438232421875,
-0.004878997802734375,
-0.05157470703125,
-0.043243408203125,
0.006954193115234375,
-0.03692626953125,
-0.046661376953125,
0.052886962890625,
0.0009489059448242188,
0.062164306640625,
0.035064697265625,
-0.0187835693359375,
0.06719970703125,
-0.02166748046875,
0.07086181640625,
0.005130767822265625,
-0.050079345703125,
0.037017822265625,
-0.041778564453125,
0.016754150390625,
0.0262603759765625,
0.03955078125,
-0.0259857177734375,
-0.01038360595703125,
-0.0625,
-0.061431884765625,
0.0859375,
0.0185089111328125,
-0.0142364501953125,
0.01520538330078125,
0.033782958984375,
-0.0220184326171875,
-0.0033168792724609375,
-0.08306884765625,
-0.0293731689453125,
-0.040496826171875,
0.0238189697265625,
-0.01812744140625,
0.022735595703125,
-0.0240325927734375,
-0.0249481201171875,
0.0777587890625,
-0.0123291015625,
0.02294921875,
0.0217437744140625,
-0.0015573501586914062,
-0.0290374755859375,
-0.0165252685546875,
0.046966552734375,
0.033599853515625,
-0.046966552734375,
-0.0231475830078125,
0.0136566162109375,
-0.0277099609375,
0.021240234375,
0.0172576904296875,
-0.00899505615234375,
-0.00867462158203125,
0.031219482421875,
0.07000732421875,
0.0229034423828125,
-0.02764892578125,
0.042724609375,
-0.0210113525390625,
-0.035552978515625,
-0.0357666015625,
0.018096923828125,
0.00815582275390625,
0.0292816162109375,
0.011688232421875,
0.0232086181640625,
0.0018358230590820312,
-0.02386474609375,
0.00933074951171875,
0.02978515625,
-0.034576416015625,
-0.0162811279296875,
0.07305908203125,
-0.0020599365234375,
-0.0184783935546875,
0.0635986328125,
-0.0098419189453125,
-0.031219482421875,
0.0865478515625,
0.039703369140625,
0.05523681640625,
0.0050811767578125,
0.02020263671875,
0.061553955078125,
0.01280975341796875,
-0.0232391357421875,
0.018951416015625,
0.0031185150146484375,
-0.059234619140625,
-0.0129241943359375,
-0.043060302734375,
-0.037445068359375,
0.0377197265625,
-0.060028076171875,
0.01983642578125,
-0.048828125,
-0.0137939453125,
-0.006603240966796875,
0.0299530029296875,
-0.06005859375,
0.01959228515625,
0.0137939453125,
0.0855712890625,
-0.06280517578125,
0.059967041015625,
0.07623291015625,
-0.044708251953125,
-0.07000732421875,
-0.007251739501953125,
-0.0005879402160644531,
-0.04840087890625,
0.05047607421875,
-0.0016260147094726562,
0.01132965087890625,
0.0173797607421875,
-0.06341552734375,
-0.0888671875,
0.10302734375,
-0.0076904296875,
-0.0211944580078125,
0.01172637939453125,
-0.0019330978393554688,
0.046417236328125,
-0.02581787109375,
0.0280914306640625,
0.02178955078125,
0.040771484375,
0.00527191162109375,
-0.034942626953125,
0.0035839080810546875,
-0.0228271484375,
0.002094268798828125,
-0.0105133056640625,
-0.072509765625,
0.08843994140625,
-0.0239410400390625,
-0.0033321380615234375,
0.01505279541015625,
0.065185546875,
0.061767578125,
0.010986328125,
0.033050537109375,
0.05609130859375,
0.0301971435546875,
0.004207611083984375,
0.05926513671875,
-0.032684326171875,
0.04388427734375,
0.05072021484375,
-0.0245361328125,
0.05206298828125,
0.015289306640625,
-0.0189971923828125,
0.0355224609375,
0.06500244140625,
-0.0278167724609375,
0.0411376953125,
0.0126495361328125,
0.0020275115966796875,
-0.0193023681640625,
0.0251617431640625,
-0.0438232421875,
0.01116180419921875,
0.030303955078125,
0.011932373046875,
-0.019744873046875,
-0.006412506103515625,
-0.01319122314453125,
-0.02410888671875,
-0.019866943359375,
0.061859130859375,
-0.006824493408203125,
-0.059173583984375,
0.06201171875,
0.00873565673828125,
0.0323486328125,
-0.05322265625,
-0.0150146484375,
-0.0250396728515625,
0.0270843505859375,
-0.0198822021484375,
-0.05584716796875,
-0.0020656585693359375,
-0.01006317138671875,
-0.0032806396484375,
0.002498626708984375,
0.0396728515625,
-0.00879669189453125,
-0.0143585205078125,
0.0350341796875,
0.035003662109375,
0.0264434814453125,
0.0172882080078125,
-0.08447265625,
-0.007289886474609375,
-0.00315093994140625,
-0.037139892578125,
0.03515625,
0.036865234375,
0.0005130767822265625,
0.06707763671875,
0.046661376953125,
-0.0051116943359375,
0.0146942138671875,
-0.0160369873046875,
0.07391357421875,
-0.06640625,
-0.046142578125,
-0.039886474609375,
0.041290283203125,
0.00925445556640625,
-0.043548583984375,
0.057342529296875,
0.06732177734375,
0.062347412109375,
-0.032196044921875,
0.05072021484375,
-0.018035888671875,
-0.0013179779052734375,
-0.038970947265625,
0.05120849609375,
-0.04840087890625,
0.0029010772705078125,
-0.0122222900390625,
-0.057464599609375,
0.0009241104125976562,
0.05364990234375,
0.0037364959716796875,
0.004932403564453125,
0.048065185546875,
0.07562255859375,
-0.01947021484375,
-0.0141143798828125,
0.0243682861328125,
0.025848388671875,
0.0173187255859375,
0.0335693359375,
0.07977294921875,
-0.053314208984375,
0.050323486328125,
-0.042449951171875,
-0.00992584228515625,
-0.0146942138671875,
-0.049346923828125,
-0.0545654296875,
-0.025390625,
-0.034515380859375,
-0.051025390625,
0.01251983642578125,
0.06414794921875,
0.0733642578125,
-0.052581787109375,
-0.037322998046875,
-0.0038242340087890625,
0.0007977485656738281,
-0.035888671875,
-0.02276611328125,
0.018951416015625,
-0.01206207275390625,
-0.046478271484375,
0.03668212890625,
-0.0094451904296875,
0.009185791015625,
-0.027679443359375,
-0.03509521484375,
-0.0243682861328125,
-0.0197906494140625,
0.00978851318359375,
0.046844482421875,
-0.042877197265625,
-0.0164337158203125,
-0.0158538818359375,
-0.0186614990234375,
0.004222869873046875,
0.0209197998046875,
-0.06298828125,
-0.005035400390625,
0.032073974609375,
0.0146331787109375,
0.0628662109375,
0.0014286041259765625,
0.023651123046875,
-0.04107666015625,
0.00978851318359375,
0.0157928466796875,
0.03143310546875,
0.00969696044921875,
-0.0275421142578125,
0.035491943359375,
0.0272369384765625,
-0.060333251953125,
-0.05328369140625,
-0.0156402587890625,
-0.07080078125,
-0.026336669921875,
0.0806884765625,
-0.0298309326171875,
-0.044281005859375,
0.0007114410400390625,
-0.00815582275390625,
0.01528167724609375,
-0.03436279296875,
0.034088134765625,
0.03204345703125,
-0.0166778564453125,
0.00311279296875,
-0.052276611328125,
0.056732177734375,
0.004428863525390625,
-0.055633544921875,
-0.0161895751953125,
0.04290771484375,
0.041717529296875,
0.013916015625,
0.03692626953125,
0.0005903244018554688,
0.03582763671875,
0.0269317626953125,
0.02032470703125,
-0.0118865966796875,
-0.028411865234375,
-0.044647216796875,
0.006809234619140625,
-0.01116943359375,
-0.01003265380859375
]
] |
mchen-hf-2023/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-25T20:04:02.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | mchen-hf-2023 | null | null | mchen-hf-2023/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-25T20:03:26 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 683.50 +/- 223.84
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga mchen-hf-2023 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga mchen-hf-2023 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga mchen-hf-2023
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,774 | [
[
-0.043792724609375,
-0.03985595703125,
0.0204925537109375,
0.02459716796875,
-0.010650634765625,
-0.017791748046875,
0.00978851318359375,
-0.01277923583984375,
0.012847900390625,
0.0226898193359375,
-0.07281494140625,
-0.03466796875,
-0.025360107421875,
-0.0029449462890625,
-0.00026798248291015625,
0.0738525390625,
-0.0028934478759765625,
0.009613037109375,
-0.015533447265625,
-0.0145416259765625,
-0.024627685546875,
-0.0211944580078125,
-0.0517578125,
-0.03192138671875,
0.0123748779296875,
0.012176513671875,
0.062225341796875,
0.07281494140625,
0.04058837890625,
0.027313232421875,
-0.01003265380859375,
-0.0033054351806640625,
-0.0310211181640625,
-0.004352569580078125,
0.0025882720947265625,
-0.016876220703125,
-0.028228759765625,
-0.01097869873046875,
0.051971435546875,
0.006320953369140625,
-0.01751708984375,
0.019500732421875,
-0.0192718505859375,
0.03155517578125,
-0.037872314453125,
0.0352783203125,
-0.0093536376953125,
0.032928466796875,
0.004528045654296875,
-0.00988006591796875,
0.003753662109375,
-0.003917694091796875,
-0.0017871856689453125,
-0.086669921875,
0.01381683349609375,
0.00475311279296875,
0.10137939453125,
0.03887939453125,
-0.020660400390625,
0.0087127685546875,
-0.044525146484375,
0.05108642578125,
-0.06915283203125,
0.037567138671875,
0.01971435546875,
0.031890869140625,
-0.015869140625,
-0.06671142578125,
-0.034454345703125,
-0.01806640625,
0.004878997802734375,
0.0239105224609375,
-0.007251739501953125,
-0.003261566162109375,
0.052947998046875,
0.002811431884765625,
-0.04559326171875,
0.00830078125,
-0.03753662109375,
-0.015777587890625,
0.032440185546875,
0.040802001953125,
0.00963592529296875,
-0.0133056640625,
-0.035736083984375,
-0.043853759765625,
-0.026336669921875,
0.032623291015625,
0.0141143798828125,
0.0128936767578125,
-0.02911376953125,
0.043212890625,
-0.035736083984375,
0.035858154296875,
0.0096893310546875,
-0.01561737060546875,
0.0249176025390625,
-0.0209197998046875,
-0.0177154541015625,
-0.0299224853515625,
0.0655517578125,
0.048858642578125,
-0.012481689453125,
0.0186309814453125,
-0.02471923828125,
-0.0195465087890625,
0.00832366943359375,
-0.0645751953125,
-0.02508544921875,
0.041839599609375,
-0.0242156982421875,
-0.004390716552734375,
-0.00472259521484375,
-0.057525634765625,
-0.0076751708984375,
-0.007965087890625,
0.0322265625,
-0.045806884765625,
-0.0128631591796875,
-0.0003609657287597656,
-0.029388427734375,
0.041839599609375,
0.0219573974609375,
-0.0594482421875,
0.02850341796875,
0.0343017578125,
0.058349609375,
0.00673675537109375,
-0.04974365234375,
-0.0292510986328125,
0.0152587890625,
-0.028594970703125,
0.050262451171875,
0.0002472400665283203,
-0.0238800048828125,
-0.00008159875869750977,
0.0134124755859375,
-0.0037212371826171875,
-0.034210205078125,
0.0253753662109375,
-0.0477294921875,
0.0087127685546875,
-0.0083770751953125,
-0.0343017578125,
-0.0254364013671875,
0.038299560546875,
-0.0560302734375,
0.088134765625,
0.01273345947265625,
-0.057647705078125,
0.03521728515625,
-0.052490234375,
-0.00304412841796875,
0.01861572265625,
-0.0026264190673828125,
-0.059356689453125,
-0.032989501953125,
0.01445770263671875,
0.039794921875,
0.0171051025390625,
0.00970458984375,
-0.03564453125,
-0.0243072509765625,
0.01078033447265625,
0.00244140625,
0.0689697265625,
0.01055145263671875,
-0.029571533203125,
0.017303466796875,
-0.06097412109375,
0.01505279541015625,
0.0167236328125,
-0.042144775390625,
0.00722503662109375,
-0.003253936767578125,
0.0166015625,
0.0266571044921875,
0.025482177734375,
-0.027252197265625,
0.00955963134765625,
-0.0256195068359375,
0.03448486328125,
0.037506103515625,
0.019500732421875,
0.0157012939453125,
-0.0226898193359375,
0.03863525390625,
0.01386260986328125,
0.0233917236328125,
0.016265869140625,
-0.024749755859375,
-0.039093017578125,
-0.0216217041015625,
-0.004608154296875,
0.03106689453125,
-0.057525634765625,
0.037353515625,
-0.01030731201171875,
-0.040679931640625,
-0.0160369873046875,
-0.00876617431640625,
0.0307769775390625,
0.01508331298828125,
0.037933349609375,
0.010650634765625,
-0.045684814453125,
-0.063232421875,
0.00917816162109375,
-0.01322174072265625,
0.0123138427734375,
0.0367431640625,
0.07843017578125,
-0.02978515625,
0.055877685546875,
-0.03692626953125,
-0.0165863037109375,
-0.005840301513671875,
-0.020172119140625,
0.0226287841796875,
0.05621337890625,
0.0487060546875,
-0.0426025390625,
-0.0269622802734375,
-0.0038890838623046875,
-0.07403564453125,
0.0379638671875,
0.0013980865478515625,
-0.00885772705078125,
0.00423431396484375,
0.033660888671875,
-0.07049560546875,
0.03094482421875,
0.019012451171875,
-0.023712158203125,
0.050323486328125,
-0.0294342041015625,
0.00856781005859375,
-0.06640625,
0.014129638671875,
0.008209228515625,
-0.0129547119140625,
-0.0240936279296875,
0.03839111328125,
0.005992889404296875,
-0.0218353271484375,
-0.06414794921875,
0.0531005859375,
-0.0279388427734375,
-0.0078887939453125,
0.0005497932434082031,
-0.0044708251953125,
-0.002635955810546875,
0.052093505859375,
0.01369476318359375,
0.045806884765625,
0.062042236328125,
-0.0616455078125,
0.046112060546875,
0.029327392578125,
-0.00989532470703125,
0.00791168212890625,
-0.04888916015625,
-0.00873565673828125,
-0.0018634796142578125,
0.034698486328125,
-0.05548095703125,
-0.038787841796875,
0.043792724609375,
-0.0367431640625,
0.00788116455078125,
-0.02117919921875,
-0.0175323486328125,
-0.037933349609375,
-0.0216522216796875,
0.02490234375,
0.0294036865234375,
-0.042022705078125,
0.0266571044921875,
0.0216217041015625,
0.016693115234375,
-0.060333251953125,
-0.034088134765625,
-0.00809478759765625,
-0.0312347412109375,
-0.040679931640625,
0.0178375244140625,
-0.0091400146484375,
-0.01241302490234375,
0.0156707763671875,
-0.005977630615234375,
-0.007656097412109375,
0.010223388671875,
0.01837158203125,
0.02288818359375,
-0.027587890625,
-0.03485107421875,
-0.022186279296875,
-0.007190704345703125,
0.0283355712890625,
-0.0228424072265625,
0.0264739990234375,
-0.0220794677734375,
-0.006114959716796875,
-0.0447998046875,
-0.007259368896484375,
0.04473876953125,
0.0029449462890625,
0.062042236328125,
0.057281494140625,
-0.0426025390625,
-0.0219573974609375,
-0.01183319091796875,
-0.0165252685546875,
-0.033966064453125,
0.0433349609375,
-0.025177001953125,
-0.0401611328125,
0.0565185546875,
0.00868988037109375,
0.01788330078125,
0.046051025390625,
0.0235595703125,
-0.01433563232421875,
0.0863037109375,
0.038970947265625,
0.006374359130859375,
0.037933349609375,
-0.0677490234375,
-0.0272064208984375,
-0.0633544921875,
-0.033935546875,
-0.037322998046875,
0.0025539398193359375,
-0.032257080078125,
-0.03558349609375,
0.030364990234375,
0.00823211669921875,
-0.0513916015625,
0.032958984375,
-0.0208282470703125,
0.0374755859375,
0.027618408203125,
0.00975799560546875,
-0.018524169921875,
0.004390716552734375,
-0.0265350341796875,
-0.0078277587890625,
-0.0645751953125,
-0.0214996337890625,
0.06689453125,
0.04071044921875,
0.0595703125,
0.00902557373046875,
0.047119140625,
0.01380157470703125,
-0.004718780517578125,
-0.04693603515625,
0.039306640625,
0.01140594482421875,
-0.05718994140625,
-0.03753662109375,
-0.0250396728515625,
-0.05877685546875,
0.035064697265625,
-0.0216522216796875,
-0.052276611328125,
0.012969970703125,
0.01049041748046875,
-0.045379638671875,
0.0174102783203125,
-0.019683837890625,
0.077392578125,
-0.01091766357421875,
-0.046630859375,
-0.00588226318359375,
-0.05462646484375,
0.0487060546875,
0.0146484375,
0.00908660888671875,
0.004428863525390625,
-0.008636474609375,
0.06982421875,
-0.05072021484375,
0.0423583984375,
-0.043670654296875,
0.0226898193359375,
0.032318115234375,
0.003627777099609375,
0.03521728515625,
0.037353515625,
0.006870269775390625,
0.009185791015625,
0.014434814453125,
-0.0357666015625,
-0.03173828125,
0.054534912109375,
-0.1043701171875,
-0.0361328125,
-0.049835205078125,
-0.02874755859375,
-0.00234222412109375,
0.0202178955078125,
0.0201568603515625,
0.0270538330078125,
-0.0176849365234375,
0.025665283203125,
0.055206298828125,
-0.02117919921875,
0.035064697265625,
0.0440673828125,
-0.01690673828125,
-0.049835205078125,
0.057647705078125,
-0.00788116455078125,
-0.00147247314453125,
0.01453399658203125,
0.0009026527404785156,
-0.045623779296875,
-0.03350830078125,
-0.053558349609375,
0.01434326171875,
-0.056854248046875,
-0.0213165283203125,
-0.053070068359375,
-0.044952392578125,
-0.035491943359375,
-0.00037980079650878906,
-0.0352783203125,
-0.0217437744140625,
-0.03057861328125,
-0.006420135498046875,
0.029205322265625,
0.043060302734375,
-0.03375244140625,
0.031005859375,
-0.05511474609375,
0.0276336669921875,
0.0217437744140625,
0.009368896484375,
-0.004886627197265625,
-0.05078125,
-0.04290771484375,
0.0074310302734375,
-0.037139892578125,
-0.0445556640625,
0.05364990234375,
0.0005059242248535156,
0.0618896484375,
0.0341796875,
-0.020660400390625,
0.06683349609375,
-0.02056884765625,
0.0711669921875,
0.00504302978515625,
-0.049591064453125,
0.035888671875,
-0.042694091796875,
0.0172882080078125,
0.0249176025390625,
0.039093017578125,
-0.0244903564453125,
-0.00959014892578125,
-0.06146240234375,
-0.059906005859375,
0.08441162109375,
0.016448974609375,
-0.01514434814453125,
0.01505279541015625,
0.033599853515625,
-0.0211181640625,
-0.004024505615234375,
-0.0830078125,
-0.02679443359375,
-0.0401611328125,
0.0237884521484375,
-0.0194854736328125,
0.023284912109375,
-0.0228118896484375,
-0.02587890625,
0.07861328125,
-0.0130767822265625,
0.024078369140625,
0.0214691162109375,
-0.001956939697265625,
-0.029632568359375,
-0.017913818359375,
0.04913330078125,
0.03289794921875,
-0.047821044921875,
-0.0234832763671875,
0.01280975341796875,
-0.0284271240234375,
0.0219573974609375,
0.0168304443359375,
-0.0084075927734375,
-0.00861358642578125,
0.0306549072265625,
0.0684814453125,
0.0225067138671875,
-0.0283966064453125,
0.042144775390625,
-0.0202789306640625,
-0.0367431640625,
-0.034698486328125,
0.018646240234375,
0.00838470458984375,
0.030181884765625,
0.0118408203125,
0.024261474609375,
0.0003414154052734375,
-0.0232696533203125,
0.00975799560546875,
0.0307159423828125,
-0.034423828125,
-0.0164337158203125,
0.072998046875,
-0.0022640228271484375,
-0.01739501953125,
0.06365966796875,
-0.0103607177734375,
-0.030517578125,
0.08746337890625,
0.04046630859375,
0.05621337890625,
0.007030487060546875,
0.020599365234375,
0.0618896484375,
0.01332855224609375,
-0.02288818359375,
0.0195770263671875,
0.0029296875,
-0.05902099609375,
-0.0132598876953125,
-0.04248046875,
-0.038299560546875,
0.036712646484375,
-0.05908203125,
0.021209716796875,
-0.0501708984375,
-0.014129638671875,
-0.007511138916015625,
0.0298614501953125,
-0.060302734375,
0.0191650390625,
0.01387786865234375,
0.08685302734375,
-0.06390380859375,
0.06005859375,
0.07666015625,
-0.04443359375,
-0.06903076171875,
-0.0064544677734375,
-0.0008459091186523438,
-0.049468994140625,
0.05157470703125,
-0.0025577545166015625,
0.0106658935546875,
0.0179290771484375,
-0.06402587890625,
-0.09027099609375,
0.1041259765625,
-0.0079193115234375,
-0.02130126953125,
0.01239776611328125,
-0.003269195556640625,
0.046112060546875,
-0.0266876220703125,
0.02716064453125,
0.0216522216796875,
0.04071044921875,
0.00653076171875,
-0.034454345703125,
0.0028095245361328125,
-0.0231781005859375,
0.002471923828125,
-0.0097503662109375,
-0.07330322265625,
0.08843994140625,
-0.0254058837890625,
-0.0036029815673828125,
0.0143280029296875,
0.065185546875,
0.061798095703125,
0.01016998291015625,
0.032745361328125,
0.0570068359375,
0.0293426513671875,
0.0041351318359375,
0.05706787109375,
-0.0335693359375,
0.0440673828125,
0.049285888671875,
-0.025299072265625,
0.052703857421875,
0.01617431640625,
-0.01904296875,
0.03558349609375,
0.064453125,
-0.0271759033203125,
0.04144287109375,
0.012298583984375,
0.0034027099609375,
-0.0185699462890625,
0.025299072265625,
-0.042724609375,
0.0107269287109375,
0.03094482421875,
0.01190185546875,
-0.01983642578125,
-0.005245208740234375,
-0.01375579833984375,
-0.0233917236328125,
-0.020050048828125,
0.06048583984375,
-0.007335662841796875,
-0.05865478515625,
0.06146240234375,
0.00850677490234375,
0.0323486328125,
-0.052154541015625,
-0.01416778564453125,
-0.0251312255859375,
0.0266571044921875,
-0.0195159912109375,
-0.056671142578125,
-0.00144195556640625,
-0.01044464111328125,
-0.0035839080810546875,
0.0027027130126953125,
0.040130615234375,
-0.00865936279296875,
-0.0160675048828125,
0.033477783203125,
0.03424072265625,
0.0264434814453125,
0.0182037353515625,
-0.08367919921875,
-0.00739288330078125,
-0.0034198760986328125,
-0.037139892578125,
0.0340576171875,
0.03619384765625,
0.0013256072998046875,
0.06829833984375,
0.046630859375,
-0.004627227783203125,
0.0155792236328125,
-0.016357421875,
0.0738525390625,
-0.06671142578125,
-0.046112060546875,
-0.03863525390625,
0.041839599609375,
0.01039886474609375,
-0.043304443359375,
0.05657958984375,
0.06634521484375,
0.062286376953125,
-0.033660888671875,
0.050750732421875,
-0.0181427001953125,
-0.0013666152954101562,
-0.0404052734375,
0.049957275390625,
-0.046875,
0.0026264190673828125,
-0.0115814208984375,
-0.05841064453125,
0.00014829635620117188,
0.053558349609375,
0.002780914306640625,
0.005035400390625,
0.048797607421875,
0.0780029296875,
-0.0196075439453125,
-0.01390838623046875,
0.024261474609375,
0.02557373046875,
0.016632080078125,
0.034912109375,
0.08013916015625,
-0.05389404296875,
0.0491943359375,
-0.042999267578125,
-0.00852203369140625,
-0.0137481689453125,
-0.049468994140625,
-0.055694580078125,
-0.0251312255859375,
-0.0355224609375,
-0.04974365234375,
0.01247406005859375,
0.06463623046875,
0.07275390625,
-0.052520751953125,
-0.038299560546875,
-0.0037860870361328125,
0.000255584716796875,
-0.0367431640625,
-0.022491455078125,
0.0181732177734375,
-0.0121307373046875,
-0.045379638671875,
0.036865234375,
-0.00856781005859375,
0.0097503662109375,
-0.02825927734375,
-0.03594970703125,
-0.0249786376953125,
-0.0195159912109375,
0.01019287109375,
0.04693603515625,
-0.042877197265625,
-0.016571044921875,
-0.01459503173828125,
-0.0178375244140625,
0.0022296905517578125,
0.020599365234375,
-0.06298828125,
-0.005207061767578125,
0.032012939453125,
0.01467132568359375,
0.0631103515625,
0.0016908645629882812,
0.023468017578125,
-0.04071044921875,
0.00988006591796875,
0.0135498046875,
0.03173828125,
0.0083160400390625,
-0.028106689453125,
0.035369873046875,
0.0276336669921875,
-0.060638427734375,
-0.053314208984375,
-0.0168304443359375,
-0.07086181640625,
-0.0267333984375,
0.0809326171875,
-0.0290069580078125,
-0.044189453125,
0.0013332366943359375,
-0.00867462158203125,
0.01450347900390625,
-0.0340576171875,
0.03265380859375,
0.032958984375,
-0.0162506103515625,
0.002132415771484375,
-0.0517578125,
0.055206298828125,
0.00412750244140625,
-0.053955078125,
-0.0164794921875,
0.0426025390625,
0.04071044921875,
0.01396942138671875,
0.0350341796875,
0.0004987716674804688,
0.0357666015625,
0.0273590087890625,
0.019805908203125,
-0.0132598876953125,
-0.03045654296875,
-0.04547119140625,
0.0066070556640625,
-0.011474609375,
-0.01023101806640625
]
] |
mcasomm/ataritest1 | 2023-09-25T21:46:26.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | mcasomm | null | null | mcasomm/ataritest1 | 0 | 2 | stable-baselines3 | 2023-09-25T21:25:09 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 686.50 +/- 267.54
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga mcasomm -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga mcasomm -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga mcasomm
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,756 | [
[
-0.043670654296875,
-0.039276123046875,
0.01959228515625,
0.0252685546875,
-0.01029205322265625,
-0.0166778564453125,
0.01055145263671875,
-0.013458251953125,
0.012359619140625,
0.023681640625,
-0.07183837890625,
-0.036773681640625,
-0.0256805419921875,
-0.0037384033203125,
0.00007051229476928711,
0.07427978515625,
-0.003635406494140625,
0.0105438232421875,
-0.0172882080078125,
-0.0158538818359375,
-0.0242462158203125,
-0.0221099853515625,
-0.051788330078125,
-0.0325927734375,
0.0107269287109375,
0.0111541748046875,
0.0615234375,
0.07220458984375,
0.0399169921875,
0.0274810791015625,
-0.0109405517578125,
-0.0026454925537109375,
-0.0303497314453125,
-0.003662109375,
0.002368927001953125,
-0.01806640625,
-0.0283355712890625,
-0.010162353515625,
0.05206298828125,
0.00679779052734375,
-0.0175018310546875,
0.0197906494140625,
-0.0186309814453125,
0.0312347412109375,
-0.039154052734375,
0.036102294921875,
-0.009063720703125,
0.032958984375,
0.004718780517578125,
-0.0099945068359375,
0.0026416778564453125,
-0.005367279052734375,
-0.0014486312866210938,
-0.08355712890625,
0.0135498046875,
0.0036830902099609375,
0.10052490234375,
0.0384521484375,
-0.022064208984375,
0.00908660888671875,
-0.04571533203125,
0.051971435546875,
-0.0689697265625,
0.037261962890625,
0.0198516845703125,
0.03131103515625,
-0.01580810546875,
-0.06671142578125,
-0.0325927734375,
-0.01776123046875,
0.00571441650390625,
0.0241241455078125,
-0.00782012939453125,
-0.00270843505859375,
0.05340576171875,
0.002529144287109375,
-0.0457763671875,
0.00914764404296875,
-0.036376953125,
-0.016387939453125,
0.030731201171875,
0.043182373046875,
0.0084075927734375,
-0.01224517822265625,
-0.037017822265625,
-0.04248046875,
-0.025543212890625,
0.033477783203125,
0.01302337646484375,
0.01226043701171875,
-0.0291900634765625,
0.042236328125,
-0.03570556640625,
0.037689208984375,
0.0087127685546875,
-0.01708984375,
0.024749755859375,
-0.0207366943359375,
-0.018096923828125,
-0.0296173095703125,
0.064453125,
0.048370361328125,
-0.01371002197265625,
0.019195556640625,
-0.0249176025390625,
-0.0180816650390625,
0.00885009765625,
-0.06500244140625,
-0.0242156982421875,
0.041168212890625,
-0.0240478515625,
-0.004779815673828125,
-0.005001068115234375,
-0.05560302734375,
-0.00768280029296875,
-0.008544921875,
0.032806396484375,
-0.046112060546875,
-0.01209259033203125,
-0.0006952285766601562,
-0.0282440185546875,
0.0435791015625,
0.021209716796875,
-0.057952880859375,
0.029937744140625,
0.033966064453125,
0.05816650390625,
0.0055999755859375,
-0.048553466796875,
-0.0285797119140625,
0.0164947509765625,
-0.029052734375,
0.049652099609375,
0.0004246234893798828,
-0.024139404296875,
0.0003542900085449219,
0.0126495361328125,
-0.00408172607421875,
-0.03448486328125,
0.0241851806640625,
-0.04864501953125,
0.0088348388671875,
-0.0073089599609375,
-0.0357666015625,
-0.026092529296875,
0.039306640625,
-0.055328369140625,
0.087890625,
0.01201629638671875,
-0.057403564453125,
0.034271240234375,
-0.05267333984375,
-0.00336456298828125,
0.0183868408203125,
-0.0024566650390625,
-0.0599365234375,
-0.032318115234375,
0.01279449462890625,
0.03997802734375,
0.0172271728515625,
0.00878143310546875,
-0.03570556640625,
-0.0244903564453125,
0.01202392578125,
0.002048492431640625,
0.06890869140625,
0.010223388671875,
-0.02972412109375,
0.01678466796875,
-0.06121826171875,
0.015716552734375,
0.0161895751953125,
-0.042205810546875,
0.00792694091796875,
-0.00341033935546875,
0.0162200927734375,
0.027191162109375,
0.025726318359375,
-0.0259246826171875,
0.00839996337890625,
-0.0257568359375,
0.03338623046875,
0.036956787109375,
0.0195159912109375,
0.0146331787109375,
-0.023651123046875,
0.039642333984375,
0.01480865478515625,
0.0225982666015625,
0.0163116455078125,
-0.0237884521484375,
-0.039886474609375,
-0.0231781005859375,
-0.00519561767578125,
0.031829833984375,
-0.05596923828125,
0.036865234375,
-0.00897216796875,
-0.040985107421875,
-0.015625,
-0.00865936279296875,
0.031524658203125,
0.016021728515625,
0.038482666015625,
0.00984954833984375,
-0.045196533203125,
-0.06390380859375,
0.00821685791015625,
-0.012725830078125,
0.01256561279296875,
0.035888671875,
0.077880859375,
-0.0304718017578125,
0.056671142578125,
-0.03704833984375,
-0.0174102783203125,
-0.006439208984375,
-0.0199127197265625,
0.0218353271484375,
0.056732177734375,
0.048370361328125,
-0.041412353515625,
-0.026336669921875,
-0.00665283203125,
-0.07379150390625,
0.037384033203125,
0.002178192138671875,
-0.00864410400390625,
0.005146026611328125,
0.0335693359375,
-0.0703125,
0.031829833984375,
0.017669677734375,
-0.022796630859375,
0.050537109375,
-0.0288848876953125,
0.0079803466796875,
-0.06756591796875,
0.0130462646484375,
0.0086517333984375,
-0.01456451416015625,
-0.023773193359375,
0.038299560546875,
0.005847930908203125,
-0.021881103515625,
-0.0648193359375,
0.052947998046875,
-0.0294036865234375,
-0.007801055908203125,
-0.0003399848937988281,
-0.005222320556640625,
-0.00205230712890625,
0.0518798828125,
0.01416778564453125,
0.04473876953125,
0.06317138671875,
-0.0618896484375,
0.046966552734375,
0.02874755859375,
-0.0093231201171875,
0.00992584228515625,
-0.048431396484375,
-0.0088043212890625,
-0.0016946792602539062,
0.034912109375,
-0.056396484375,
-0.038818359375,
0.043426513671875,
-0.035675048828125,
0.009979248046875,
-0.02142333984375,
-0.016937255859375,
-0.03704833984375,
-0.0223541259765625,
0.0248260498046875,
0.0297393798828125,
-0.04205322265625,
0.0267791748046875,
0.022796630859375,
0.0172576904296875,
-0.05975341796875,
-0.034912109375,
-0.00814056396484375,
-0.03173828125,
-0.04022216796875,
0.0177001953125,
-0.00858306884765625,
-0.011993408203125,
0.01537322998046875,
-0.0071868896484375,
-0.00783538818359375,
0.0107269287109375,
0.018585205078125,
0.0233001708984375,
-0.027801513671875,
-0.03546142578125,
-0.0222930908203125,
-0.0077056884765625,
0.0295867919921875,
-0.023193359375,
0.025299072265625,
-0.022186279296875,
-0.006801605224609375,
-0.04559326171875,
-0.0073394775390625,
0.04425048828125,
0.0027828216552734375,
0.0628662109375,
0.057373046875,
-0.043304443359375,
-0.022552490234375,
-0.01262664794921875,
-0.0166778564453125,
-0.0335693359375,
0.043304443359375,
-0.0250244140625,
-0.04022216796875,
0.056732177734375,
0.00788116455078125,
0.0163421630859375,
0.045013427734375,
0.0249481201171875,
-0.01367950439453125,
0.08837890625,
0.038421630859375,
0.006671905517578125,
0.03704833984375,
-0.0684814453125,
-0.028167724609375,
-0.06365966796875,
-0.0345458984375,
-0.037506103515625,
0.0021114349365234375,
-0.031951904296875,
-0.034698486328125,
0.0304412841796875,
0.00823211669921875,
-0.050445556640625,
0.031646728515625,
-0.0203857421875,
0.037261962890625,
0.0272064208984375,
0.01024627685546875,
-0.0179290771484375,
0.004215240478515625,
-0.028106689453125,
-0.00858306884765625,
-0.06451416015625,
-0.023040771484375,
0.06585693359375,
0.040679931640625,
0.06158447265625,
0.00991058349609375,
0.046478271484375,
0.0131988525390625,
-0.0040130615234375,
-0.04705810546875,
0.0399169921875,
0.01275634765625,
-0.0565185546875,
-0.03546142578125,
-0.024566650390625,
-0.060150146484375,
0.035491943359375,
-0.020904541015625,
-0.052825927734375,
0.01194000244140625,
0.009857177734375,
-0.045440673828125,
0.0170440673828125,
-0.0190582275390625,
0.07708740234375,
-0.0105133056640625,
-0.046844482421875,
-0.005859375,
-0.054718017578125,
0.04925537109375,
0.01480865478515625,
0.00833892822265625,
0.0037517547607421875,
-0.01052093505859375,
0.070556640625,
-0.051055908203125,
0.0433349609375,
-0.042755126953125,
0.02337646484375,
0.032196044921875,
0.004787445068359375,
0.034942626953125,
0.0379638671875,
0.007167816162109375,
0.00890350341796875,
0.0149993896484375,
-0.037261962890625,
-0.03082275390625,
0.05517578125,
-0.10418701171875,
-0.03662109375,
-0.050872802734375,
-0.02886962890625,
-0.004241943359375,
0.0190277099609375,
0.0195159912109375,
0.0287933349609375,
-0.0179443359375,
0.0261383056640625,
0.056396484375,
-0.0202484130859375,
0.034637451171875,
0.046295166015625,
-0.0172271728515625,
-0.049072265625,
0.05694580078125,
-0.007564544677734375,
-0.0007724761962890625,
0.01416778564453125,
-0.0005955696105957031,
-0.046722412109375,
-0.03546142578125,
-0.0523681640625,
0.01302337646484375,
-0.057373046875,
-0.0224151611328125,
-0.05364990234375,
-0.045379638671875,
-0.03619384765625,
0.0005669593811035156,
-0.034637451171875,
-0.0208892822265625,
-0.030731201171875,
-0.00740814208984375,
0.029815673828125,
0.041656494140625,
-0.033538818359375,
0.0307159423828125,
-0.055145263671875,
0.0271759033203125,
0.0214691162109375,
0.00885009765625,
-0.005512237548828125,
-0.050872802734375,
-0.043609619140625,
0.007781982421875,
-0.038421630859375,
-0.0452880859375,
0.053558349609375,
0.000007271766662597656,
0.06280517578125,
0.034423828125,
-0.02020263671875,
0.06610107421875,
-0.01824951171875,
0.0711669921875,
0.00449371337890625,
-0.049072265625,
0.03594970703125,
-0.041290283203125,
0.018341064453125,
0.0251312255859375,
0.040771484375,
-0.0240631103515625,
-0.010894775390625,
-0.06103515625,
-0.0596923828125,
0.084716796875,
0.016632080078125,
-0.014678955078125,
0.01448822021484375,
0.032318115234375,
-0.0216217041015625,
-0.0037517547607421875,
-0.0821533203125,
-0.0270843505859375,
-0.0391845703125,
0.023681640625,
-0.0191802978515625,
0.0226898193359375,
-0.0226593017578125,
-0.025543212890625,
0.07916259765625,
-0.01279449462890625,
0.0225982666015625,
0.021881103515625,
-0.003940582275390625,
-0.02813720703125,
-0.018096923828125,
0.048553466796875,
0.033294677734375,
-0.047210693359375,
-0.022186279296875,
0.0141448974609375,
-0.0279693603515625,
0.022613525390625,
0.0167083740234375,
-0.00839996337890625,
-0.00836944580078125,
0.0303192138671875,
0.06915283203125,
0.0234527587890625,
-0.0279083251953125,
0.04180908203125,
-0.020294189453125,
-0.03533935546875,
-0.034942626953125,
0.0189361572265625,
0.00913238525390625,
0.02996826171875,
0.011932373046875,
0.023895263671875,
0.00009435415267944336,
-0.0231781005859375,
0.009368896484375,
0.031524658203125,
-0.035675048828125,
-0.0157623291015625,
0.07305908203125,
-0.002689361572265625,
-0.0181427001953125,
0.0628662109375,
-0.00980377197265625,
-0.0312347412109375,
0.08758544921875,
0.040252685546875,
0.055938720703125,
0.006229400634765625,
0.020111083984375,
0.059722900390625,
0.0130462646484375,
-0.0224761962890625,
0.0196380615234375,
0.0033721923828125,
-0.05950927734375,
-0.01287841796875,
-0.043121337890625,
-0.03863525390625,
0.03704833984375,
-0.060150146484375,
0.02130126953125,
-0.04962158203125,
-0.0141448974609375,
-0.007801055908203125,
0.0303955078125,
-0.06121826171875,
0.0196075439453125,
0.01291656494140625,
0.0870361328125,
-0.063232421875,
0.059661865234375,
0.07684326171875,
-0.044342041015625,
-0.0692138671875,
-0.007076263427734375,
-0.0002275705337524414,
-0.04931640625,
0.0504150390625,
-0.0024471282958984375,
0.01036834716796875,
0.0186920166015625,
-0.0633544921875,
-0.08843994140625,
0.10357666015625,
-0.007762908935546875,
-0.01983642578125,
0.013427734375,
-0.0021152496337890625,
0.04571533203125,
-0.0275726318359375,
0.0285186767578125,
0.021759033203125,
0.03997802734375,
0.00608062744140625,
-0.0340576171875,
0.0029201507568359375,
-0.0218353271484375,
0.003330230712890625,
-0.01000213623046875,
-0.07330322265625,
0.0870361328125,
-0.025146484375,
-0.0023517608642578125,
0.01479339599609375,
0.065185546875,
0.062042236328125,
0.0109710693359375,
0.031646728515625,
0.057159423828125,
0.029022216796875,
0.005123138427734375,
0.0574951171875,
-0.034515380859375,
0.04400634765625,
0.050018310546875,
-0.0257568359375,
0.051422119140625,
0.0158233642578125,
-0.0181884765625,
0.0355224609375,
0.06536865234375,
-0.0267181396484375,
0.040679931640625,
0.01334381103515625,
0.00205230712890625,
-0.019012451171875,
0.0249481201171875,
-0.04400634765625,
0.011688232421875,
0.0305938720703125,
0.01183319091796875,
-0.020782470703125,
-0.005290985107421875,
-0.0131988525390625,
-0.0234222412109375,
-0.02044677734375,
0.0618896484375,
-0.00616455078125,
-0.0572509765625,
0.062469482421875,
0.00933837890625,
0.0321044921875,
-0.0528564453125,
-0.01340484619140625,
-0.025543212890625,
0.02740478515625,
-0.0196533203125,
-0.055389404296875,
-0.0005993843078613281,
-0.0104522705078125,
-0.003490447998046875,
0.0030536651611328125,
0.041748046875,
-0.00890350341796875,
-0.016387939453125,
0.0341796875,
0.036102294921875,
0.0269317626953125,
0.0186767578125,
-0.08349609375,
-0.007049560546875,
-0.00522613525390625,
-0.03729248046875,
0.0350341796875,
0.03546142578125,
0.0007462501525878906,
0.06854248046875,
0.0460205078125,
-0.004573822021484375,
0.01519775390625,
-0.01702880859375,
0.07293701171875,
-0.067138671875,
-0.045867919921875,
-0.039276123046875,
0.041656494140625,
0.01104736328125,
-0.042572021484375,
0.0572509765625,
0.06817626953125,
0.062255859375,
-0.033172607421875,
0.049835205078125,
-0.015472412109375,
-0.0009832382202148438,
-0.040069580078125,
0.050262451171875,
-0.0457763671875,
0.0029697418212890625,
-0.01171112060546875,
-0.059112548828125,
0.00005173683166503906,
0.05279541015625,
0.003246307373046875,
0.005382537841796875,
0.048309326171875,
0.07904052734375,
-0.019439697265625,
-0.014495849609375,
0.0242462158203125,
0.026275634765625,
0.01531219482421875,
0.03497314453125,
0.0809326171875,
-0.053192138671875,
0.048980712890625,
-0.042327880859375,
-0.00891876220703125,
-0.01380157470703125,
-0.050048828125,
-0.05511474609375,
-0.0235443115234375,
-0.036773681640625,
-0.05126953125,
0.01235198974609375,
0.06549072265625,
0.07373046875,
-0.05267333984375,
-0.0384521484375,
-0.002437591552734375,
0.0012359619140625,
-0.0367431640625,
-0.0225677490234375,
0.016998291015625,
-0.01275634765625,
-0.045440673828125,
0.0364990234375,
-0.0089263916015625,
0.00988006591796875,
-0.0295562744140625,
-0.03594970703125,
-0.0243377685546875,
-0.0183258056640625,
0.01041412353515625,
0.045440673828125,
-0.042327880859375,
-0.0161590576171875,
-0.01555633544921875,
-0.01910400390625,
0.002277374267578125,
0.0200347900390625,
-0.06451416015625,
-0.006237030029296875,
0.03155517578125,
0.014984130859375,
0.064208984375,
0.0005559921264648438,
0.0223541259765625,
-0.040924072265625,
0.0101776123046875,
0.0149383544921875,
0.031585693359375,
0.00823211669921875,
-0.0271148681640625,
0.03472900390625,
0.02825927734375,
-0.059173583984375,
-0.0545654296875,
-0.0162506103515625,
-0.07135009765625,
-0.0260467529296875,
0.08050537109375,
-0.0292510986328125,
-0.043975830078125,
0.0005354881286621094,
-0.00850677490234375,
0.01488494873046875,
-0.0330810546875,
0.032562255859375,
0.032958984375,
-0.0165863037109375,
0.00234222412109375,
-0.05078125,
0.0545654296875,
0.00482940673828125,
-0.05413818359375,
-0.0181427001953125,
0.042755126953125,
0.041412353515625,
0.01239013671875,
0.03460693359375,
0.0001341104507446289,
0.035369873046875,
0.02593994140625,
0.0201416015625,
-0.0136566162109375,
-0.0291748046875,
-0.0467529296875,
0.00785064697265625,
-0.010711669921875,
-0.0113372802734375
]
] |
silvacarl/distilbert-stock-tweet-sentiment-analysis | 2023-09-25T22:50:15.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | silvacarl | null | null | silvacarl/distilbert-stock-tweet-sentiment-analysis | 0 | 2 | transformers | 2023-09-25T22:48:12 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-stock-tweet-sentiment-analysis
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-stock-tweet-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6236
- Accuracy: 0.7702
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6937 | 1.0 | 1000 | 0.5964 | 0.7512 |
| 0.4743 | 2.0 | 2000 | 0.5807 | 0.7675 |
| 0.3648 | 3.0 | 3000 | 0.6236 | 0.7702 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,546 | [
[
-0.0208892822265625,
-0.0482177734375,
0.0091094970703125,
0.0232391357421875,
-0.0299835205078125,
0.0011034011840820312,
-0.00867462158203125,
-0.0001933574676513672,
0.0131378173828125,
0.0039520263671875,
-0.0509033203125,
-0.06207275390625,
-0.07196044921875,
-0.01323699951171875,
-0.02459716796875,
0.0970458984375,
0.0018053054809570312,
0.0228118896484375,
0.0059967041015625,
-0.0023937225341796875,
-0.026947021484375,
-0.050506591796875,
-0.054351806640625,
-0.036468505859375,
0.0195770263671875,
0.01666259765625,
0.060791015625,
0.0401611328125,
0.043853759765625,
0.0192413330078125,
-0.03271484375,
-0.0195465087890625,
-0.05731201171875,
-0.0285797119140625,
0.002338409423828125,
-0.021484375,
-0.061492919921875,
0.01096343994140625,
0.038482666015625,
0.0445556640625,
-0.0250396728515625,
0.0413818359375,
0.024139404296875,
0.047698974609375,
-0.038360595703125,
0.0299530029296875,
-0.042572021484375,
0.017913818359375,
-0.0166015625,
-0.0180206298828125,
-0.020263671875,
-0.0121307373046875,
0.0209808349609375,
-0.036468505859375,
0.034027099609375,
0.005107879638671875,
0.08526611328125,
0.024261474609375,
-0.0272369384765625,
-0.002117156982421875,
-0.05181884765625,
0.05975341796875,
-0.058624267578125,
0.0088653564453125,
0.0208282470703125,
0.0262451171875,
0.005420684814453125,
-0.04803466796875,
-0.037261962890625,
0.0014791488647460938,
-0.007465362548828125,
0.01837158203125,
-0.0284881591796875,
0.001674652099609375,
0.046417236328125,
0.04486083984375,
-0.0301666259765625,
0.00478363037109375,
-0.046478271484375,
-0.003936767578125,
0.048736572265625,
0.030059814453125,
-0.02691650390625,
-0.01158905029296875,
-0.039306640625,
-0.00884246826171875,
-0.002651214599609375,
0.01190185546875,
0.032196044921875,
0.0183563232421875,
-0.0242462158203125,
0.037811279296875,
-0.0167083740234375,
0.04296875,
0.0202178955078125,
-0.0130157470703125,
0.05255126953125,
0.0135345458984375,
-0.043548583984375,
0.0078277587890625,
0.07342529296875,
0.054168701171875,
0.0165252685546875,
0.01050567626953125,
-0.035369873046875,
-0.007099151611328125,
0.0172882080078125,
-0.0699462890625,
-0.030609130859375,
0.01428985595703125,
-0.04742431640625,
-0.06390380859375,
0.02178955078125,
-0.039764404296875,
0.004161834716796875,
-0.0286407470703125,
0.036285400390625,
-0.031646728515625,
-0.0265960693359375,
0.019195556640625,
-0.0181427001953125,
0.010345458984375,
0.01416015625,
-0.06060791015625,
0.0262603759765625,
0.038238525390625,
0.05426025390625,
0.00231170654296875,
-0.0194091796875,
-0.01336669921875,
-0.005405426025390625,
-0.0225372314453125,
0.02349853515625,
-0.0001747608184814453,
-0.043121337890625,
-0.0095062255859375,
0.0038623809814453125,
-0.003940582275390625,
-0.0278472900390625,
0.04937744140625,
-0.0252227783203125,
0.016510009765625,
-0.0282135009765625,
-0.0458984375,
-0.0185089111328125,
0.042083740234375,
-0.0511474609375,
0.08843994140625,
0.00943756103515625,
-0.0762939453125,
0.04583740234375,
-0.054473876953125,
-0.013214111328125,
-0.01328277587890625,
-0.0016260147094726562,
-0.0499267578125,
0.00876617431640625,
0.0052032470703125,
0.0498046875,
-0.01526641845703125,
0.026031494140625,
-0.037933349609375,
-0.038970947265625,
0.016876220703125,
-0.043060302734375,
0.070068359375,
0.00865936279296875,
-0.035980224609375,
-0.0085296630859375,
-0.07501220703125,
-0.0006456375122070312,
0.0274200439453125,
-0.0222015380859375,
-0.006122589111328125,
-0.0231781005859375,
0.0308990478515625,
0.01404571533203125,
0.0295562744140625,
-0.043975830078125,
0.01458740234375,
-0.0245819091796875,
0.024658203125,
0.05523681640625,
0.006389617919921875,
0.01432037353515625,
-0.0284271240234375,
0.0242919921875,
0.03961181640625,
0.0384521484375,
0.0283966064453125,
-0.0162506103515625,
-0.063720703125,
-0.01548004150390625,
0.0189208984375,
0.033905029296875,
-0.0244903564453125,
0.053192138671875,
-0.01470947265625,
-0.04986572265625,
-0.02044677734375,
0.0096893310546875,
0.015533447265625,
0.06011962890625,
0.0298004150390625,
-0.0036945343017578125,
-0.03375244140625,
-0.08404541015625,
0.0130462646484375,
-0.01262664794921875,
0.0186767578125,
-0.0146026611328125,
0.04376220703125,
-0.0090789794921875,
0.06524658203125,
-0.055023193359375,
-0.011962890625,
-0.0156097412109375,
0.015655517578125,
0.052947998046875,
0.03570556640625,
0.060089111328125,
-0.0335693359375,
-0.0307769775390625,
-0.0182342529296875,
-0.062408447265625,
0.02490234375,
0.0019140243530273438,
-0.02020263671875,
-0.0018157958984375,
0.01200103759765625,
-0.042938232421875,
0.060302734375,
0.02630615234375,
-0.01715087890625,
0.04376220703125,
-0.00904083251953125,
-0.0063934326171875,
-0.1065673828125,
0.01113128662109375,
0.03082275390625,
-0.003963470458984375,
-0.02813720703125,
-0.031646728515625,
-0.002559661865234375,
-0.002971649169921875,
-0.0286407470703125,
0.02960205078125,
-0.00792694091796875,
0.01392364501953125,
-0.017303466796875,
-0.0273895263671875,
0.0159912109375,
0.051361083984375,
0.00582122802734375,
0.033477783203125,
0.057220458984375,
-0.03472900390625,
0.031494140625,
0.027984619140625,
-0.0195465087890625,
0.0416259765625,
-0.07342529296875,
0.0013608932495117188,
-0.00691986083984375,
-0.002475738525390625,
-0.06884765625,
0.0031890869140625,
0.032958984375,
-0.03558349609375,
0.0272674560546875,
-0.00908660888671875,
-0.0279083251953125,
-0.033782958984375,
-0.0252532958984375,
0.005329132080078125,
0.040008544921875,
-0.031982421875,
0.0265960693359375,
-0.004474639892578125,
0.01568603515625,
-0.060516357421875,
-0.060546875,
-0.0200347900390625,
-0.0232391357421875,
-0.028045654296875,
0.01374053955078125,
0.005161285400390625,
-0.0130157470703125,
-0.004680633544921875,
-0.00920867919921875,
-0.0189208984375,
0.004283905029296875,
0.031951904296875,
0.0430908203125,
-0.002803802490234375,
0.005130767822265625,
0.00904083251953125,
-0.018707275390625,
0.0175018310546875,
0.0006575584411621094,
0.0298004150390625,
-0.016876220703125,
-0.01476287841796875,
-0.07049560546875,
-0.0086212158203125,
0.04107666015625,
-0.0010623931884765625,
0.073486328125,
0.04559326171875,
-0.03143310546875,
-0.0047454833984375,
-0.031890869140625,
-0.01275634765625,
-0.033843994140625,
0.0416259765625,
-0.0303802490234375,
-0.0210113525390625,
0.043426513671875,
0.0036106109619140625,
0.01513671875,
0.07940673828125,
0.0411376953125,
-0.014495849609375,
0.07080078125,
0.0288848876953125,
-0.02734375,
0.0185546875,
-0.06390380859375,
-0.0006489753723144531,
-0.0380859375,
-0.034820556640625,
-0.027923583984375,
-0.04107666015625,
-0.04833984375,
0.006816864013671875,
0.0081024169921875,
0.017486572265625,
-0.05792236328125,
0.02532958984375,
-0.046356201171875,
0.0163116455078125,
0.050994873046875,
0.0196990966796875,
0.0107269287109375,
0.01160430908203125,
-0.0210723876953125,
-0.011383056640625,
-0.045867919921875,
-0.046234130859375,
0.09197998046875,
0.0518798828125,
0.07080078125,
-0.01538848876953125,
0.060577392578125,
0.01953125,
0.0165863037109375,
-0.05657958984375,
0.02081298828125,
-0.00010448694229125977,
-0.063232421875,
-0.007617950439453125,
-0.0279083251953125,
-0.02899169921875,
-0.000789642333984375,
-0.0213623046875,
-0.036834716796875,
0.0178985595703125,
0.019439697265625,
-0.03662109375,
0.034454345703125,
-0.040435791015625,
0.0771484375,
-0.0362548828125,
-0.0162811279296875,
-0.0028533935546875,
-0.0307464599609375,
0.005779266357421875,
0.0019817352294921875,
-0.0219268798828125,
-0.01007080078125,
0.01253509521484375,
0.0640869140625,
-0.0401611328125,
0.060302734375,
-0.035980224609375,
0.018218994140625,
0.0219573974609375,
-0.00799560546875,
0.0377197265625,
0.0251617431640625,
-0.0264129638671875,
0.037567138671875,
0.00563812255859375,
-0.038055419921875,
-0.031707763671875,
0.04364013671875,
-0.08734130859375,
-0.01512908935546875,
-0.062225341796875,
-0.022674560546875,
-0.010040283203125,
0.004070281982421875,
0.0469970703125,
0.036285400390625,
-0.0231475830078125,
0.0189971923828125,
0.0286102294921875,
0.003299713134765625,
0.02825927734375,
0.0190277099609375,
-0.005764007568359375,
-0.04241943359375,
0.046661376953125,
-0.0010232925415039062,
0.00910186767578125,
0.0081634521484375,
0.00838470458984375,
-0.0404052734375,
-0.03619384765625,
-0.031707763671875,
0.01053619384765625,
-0.051849365234375,
-0.0204620361328125,
-0.032379150390625,
-0.037384033203125,
-0.0251312255859375,
0.003936767578125,
-0.0390625,
-0.02264404296875,
-0.05926513671875,
-0.0379638671875,
0.04022216796875,
0.051910400390625,
0.01320648193359375,
0.0523681640625,
-0.048370361328125,
-0.0117340087890625,
0.0124053955078125,
0.0240478515625,
0.007568359375,
-0.061492919921875,
-0.024169921875,
0.0196990966796875,
-0.054351806640625,
-0.0498046875,
0.032623291015625,
0.002750396728515625,
0.039794921875,
0.05694580078125,
0.004383087158203125,
0.07049560546875,
-0.007015228271484375,
0.0509033203125,
0.036651611328125,
-0.0577392578125,
0.0311431884765625,
-0.0158843994140625,
0.006755828857421875,
0.05908203125,
0.051361083984375,
-0.0122833251953125,
-0.00513458251953125,
-0.0762939453125,
-0.049591064453125,
0.065185546875,
0.030303955078125,
0.0088958740234375,
-0.0005359649658203125,
0.0228729248046875,
-0.0030231475830078125,
0.037506103515625,
-0.06396484375,
-0.040985107421875,
-0.040618896484375,
-0.0177459716796875,
-0.00815582275390625,
-0.0290985107421875,
-0.00839996337890625,
-0.045989990234375,
0.06707763671875,
0.01091766357421875,
0.01236724853515625,
-0.0032444000244140625,
0.0149688720703125,
0.00022351741790771484,
-0.00017786026000976562,
0.023590087890625,
0.056793212890625,
-0.055816650390625,
-0.01528167724609375,
0.0243988037109375,
-0.0259552001953125,
-0.0050048828125,
0.019805908203125,
0.0010709762573242188,
0.018157958984375,
0.021331787109375,
0.08270263671875,
-0.0025005340576171875,
-0.00295257568359375,
0.046478271484375,
-0.007904052734375,
-0.0428466796875,
-0.04608154296875,
-0.0091552734375,
-0.00408935546875,
0.024139404296875,
0.036895751953125,
0.026947021484375,
0.00872802734375,
-0.01415252685546875,
0.00856781005859375,
0.01708984375,
-0.052276611328125,
-0.0264739990234375,
0.0498046875,
0.009765625,
-0.000041425228118896484,
0.06451416015625,
-0.01184844970703125,
-0.0264739990234375,
0.0496826171875,
0.0160980224609375,
0.0738525390625,
0.0003056526184082031,
0.01003265380859375,
0.053436279296875,
0.01490020751953125,
-0.0196380615234375,
0.03497314453125,
0.0211029052734375,
-0.04266357421875,
-0.01291656494140625,
-0.0638427734375,
-0.013397216796875,
0.034698486328125,
-0.0859375,
0.03515625,
-0.04937744140625,
-0.05523681640625,
0.019439697265625,
0.006519317626953125,
-0.0654296875,
0.0445556640625,
0.0022735595703125,
0.0799560546875,
-0.0711669921875,
0.055938720703125,
0.04718017578125,
-0.0362548828125,
-0.075439453125,
-0.005252838134765625,
-0.00939178466796875,
-0.05706787109375,
0.0634765625,
0.014678955078125,
0.0152130126953125,
-0.0026092529296875,
-0.036834716796875,
-0.042083740234375,
0.0885009765625,
0.0196990966796875,
-0.0650634765625,
-0.00015723705291748047,
0.02508544921875,
0.045074462890625,
-0.01280975341796875,
0.042633056640625,
0.0260009765625,
0.006092071533203125,
0.035980224609375,
-0.06524658203125,
-0.0126190185546875,
-0.0232391357421875,
0.01287841796875,
0.01024627685546875,
-0.051025390625,
0.0799560546875,
0.00934600830078125,
0.02276611328125,
-0.00926971435546875,
0.0418701171875,
0.01068115234375,
0.027587890625,
0.031768798828125,
0.074462890625,
0.03448486328125,
-0.0156402587890625,
0.06268310546875,
-0.038543701171875,
0.0697021484375,
0.08673095703125,
-0.007442474365234375,
0.04986572265625,
0.034423828125,
-0.02398681640625,
0.022979736328125,
0.06488037109375,
-0.0152587890625,
0.0389404296875,
0.00659942626953125,
-0.00328826904296875,
-0.02081298828125,
0.01555633544921875,
-0.042083740234375,
0.032196044921875,
0.003818511962890625,
-0.056549072265625,
-0.02099609375,
-0.0178070068359375,
0.0029430389404296875,
-0.01971435546875,
-0.023651123046875,
0.04534912109375,
-0.0012531280517578125,
-0.00751495361328125,
0.0576171875,
0.0038242340087890625,
0.043060302734375,
-0.032257080078125,
0.00295257568359375,
-0.00778961181640625,
0.034820556640625,
-0.0173187255859375,
-0.052459716796875,
0.027252197265625,
0.002231597900390625,
-0.0176239013671875,
-0.00437164306640625,
0.027618408203125,
-0.008026123046875,
-0.07733154296875,
0.01702880859375,
0.027801513671875,
0.00017154216766357422,
-0.01424407958984375,
-0.08819580078125,
-0.004180908203125,
0.0017690658569335938,
-0.04559326171875,
-0.005859375,
0.035064697265625,
0.01482391357421875,
0.03411865234375,
0.040283203125,
-0.003719329833984375,
-0.00760650634765625,
0.01267242431640625,
0.08685302734375,
-0.04852294921875,
-0.0379638671875,
-0.0782470703125,
0.050811767578125,
-0.034942626953125,
-0.04852294921875,
0.051849365234375,
0.07080078125,
0.05926513671875,
-0.0156707763671875,
0.0533447265625,
-0.0021533966064453125,
0.037506103515625,
-0.0179901123046875,
0.058563232421875,
-0.040985107421875,
-0.00041413307189941406,
-0.0274200439453125,
-0.0699462890625,
0.0039825439453125,
0.051788330078125,
-0.039276123046875,
0.00982666015625,
0.0357666015625,
0.0533447265625,
-0.0135650634765625,
0.01055145263671875,
0.0154876708984375,
0.00836181640625,
0.0035228729248046875,
0.0218048095703125,
0.04559326171875,
-0.06634521484375,
0.03363037109375,
-0.0560302734375,
-0.0177459716796875,
-0.00926971435546875,
-0.059539794921875,
-0.0908203125,
-0.020172119140625,
-0.0333251953125,
-0.039703369140625,
-0.01023101806640625,
0.07672119140625,
0.048980712890625,
-0.060791015625,
-0.029693603515625,
0.006397247314453125,
-0.0379638671875,
-0.01241302490234375,
-0.0185546875,
0.03253173828125,
-0.00846099853515625,
-0.0533447265625,
-0.0212554931640625,
-0.00492095947265625,
0.0267486572265625,
-0.01560211181640625,
-0.013397216796875,
-0.01129913330078125,
-0.024017333984375,
0.0267486572265625,
-0.014190673828125,
-0.02362060546875,
-0.0021305084228515625,
0.00612640380859375,
-0.0116729736328125,
0.00847625732421875,
0.015838623046875,
-0.01806640625,
0.0231475830078125,
0.0210418701171875,
0.020477294921875,
0.05145263671875,
0.0100250244140625,
0.01453399658203125,
-0.06103515625,
0.0372314453125,
0.0216522216796875,
0.035980224609375,
0.0113983154296875,
-0.0301666259765625,
0.0199432373046875,
0.0302276611328125,
-0.0301513671875,
-0.04541015625,
-0.0260772705078125,
-0.0885009765625,
0.0078582763671875,
0.07928466796875,
0.0010061264038085938,
-0.0295867919921875,
0.0293121337890625,
-0.0169830322265625,
0.0270233154296875,
-0.04534912109375,
0.05657958984375,
0.05908203125,
0.00788116455078125,
0.01035308837890625,
-0.0379638671875,
0.02880859375,
0.01184844970703125,
-0.029205322265625,
-0.0192718505859375,
0.0243377685546875,
0.043121337890625,
-0.0021209716796875,
0.0357666015625,
-0.0034847259521484375,
0.01236724853515625,
0.001071929931640625,
0.0162200927734375,
-0.029693603515625,
-0.01140594482421875,
-0.0196533203125,
0.0013408660888671875,
0.01824951171875,
-0.0601806640625
]
] |
Yeetables/xlm-roberta-base-finetuned-panx-de | 2023-09-27T22:54:54.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"dataset:xtreme",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Yeetables | null | null | Yeetables/xlm-roberta-base-finetuned-panx-de | 0 | 2 | transformers | 2023-09-25T23:23:43 | ---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: validation
args: PAN-X.de
metrics:
- name: F1
type: f1
value: 0.8551200724966017
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1348
- F1: 0.8551
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 263 | 0.1629 | 0.8173 |
| 0.2088 | 2.0 | 526 | 0.1385 | 0.8445 |
| 0.2088 | 3.0 | 789 | 0.1348 | 0.8551 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,770 | [
[
-0.03515625,
-0.0357666015625,
0.02642822265625,
0.0023708343505859375,
-0.0283050537109375,
-0.030059814453125,
-0.017822265625,
-0.01532745361328125,
0.003498077392578125,
0.04486083984375,
-0.0596923828125,
-0.0501708984375,
-0.057891845703125,
-0.01438140869140625,
-0.022735595703125,
0.08819580078125,
0.005401611328125,
0.037567138671875,
0.00240325927734375,
-0.00846099853515625,
-0.025146484375,
-0.052642822265625,
-0.0728759765625,
-0.04296875,
0.020660400390625,
0.0253448486328125,
0.05126953125,
0.07342529296875,
0.03204345703125,
0.01654052734375,
-0.0245513916015625,
-0.00673675537109375,
-0.04931640625,
-0.035675048828125,
0.006015777587890625,
-0.0638427734375,
-0.0615234375,
0.00009298324584960938,
0.0565185546875,
0.0303497314453125,
-0.0112457275390625,
0.03497314453125,
0.00630950927734375,
0.03448486328125,
-0.02960205078125,
0.021881103515625,
-0.035980224609375,
0.0240325927734375,
-0.0189666748046875,
-0.0271759033203125,
-0.0280914306640625,
-0.0013332366943359375,
0.0005373954772949219,
-0.030975341796875,
0.0275421142578125,
0.002002716064453125,
0.0894775390625,
0.0223236083984375,
-0.024505615234375,
0.008392333984375,
-0.06353759765625,
0.058380126953125,
-0.052001953125,
0.0303497314453125,
0.0262908935546875,
0.04339599609375,
0.0193328857421875,
-0.048248291015625,
-0.0261077880859375,
-0.006511688232421875,
0.005916595458984375,
0.0188140869140625,
-0.0182952880859375,
-0.006038665771484375,
0.04583740234375,
0.03155517578125,
-0.050628662109375,
0.01336669921875,
-0.034423828125,
-0.006072998046875,
0.027984619140625,
0.047119140625,
-0.01800537109375,
-0.01552581787109375,
-0.05157470703125,
-0.024444580078125,
-0.0384521484375,
0.01232147216796875,
0.039093017578125,
0.029815673828125,
-0.037811279296875,
0.030487060546875,
-0.0038509368896484375,
0.055877685546875,
0.005413055419921875,
-0.01263427734375,
0.035400390625,
0.0005660057067871094,
-0.034698486328125,
-0.004978179931640625,
0.051361083984375,
0.040618896484375,
-0.0017910003662109375,
0.00719451904296875,
-0.023193359375,
-0.00777435302734375,
0.0133514404296875,
-0.0643310546875,
-0.01739501953125,
0.011138916015625,
-0.042755126953125,
-0.039703369140625,
0.0228424072265625,
-0.0333251953125,
0.0219268798828125,
-0.0447998046875,
0.04083251953125,
-0.035003662109375,
-0.0002033710479736328,
0.01351165771484375,
-0.0031280517578125,
0.0193634033203125,
0.0144500732421875,
-0.038055419921875,
0.043701171875,
0.0364990234375,
0.04254150390625,
0.01447296142578125,
-0.01102447509765625,
-0.0316162109375,
0.00492095947265625,
-0.0182647705078125,
0.03289794921875,
-0.0132598876953125,
-0.03265380859375,
-0.0218505859375,
0.0210113525390625,
-0.01071929931640625,
-0.039276123046875,
0.080810546875,
-0.02679443359375,
0.0250091552734375,
-0.00923919677734375,
-0.046905517578125,
-0.0188140869140625,
0.02777099609375,
-0.046051025390625,
0.07086181640625,
0.01849365234375,
-0.04046630859375,
0.043548583984375,
-0.036712646484375,
0.008270263671875,
-0.004596710205078125,
-0.006412506103515625,
-0.06744384765625,
-0.00498199462890625,
-0.007781982421875,
0.0253448486328125,
-0.0302276611328125,
0.0063323974609375,
-0.0208282470703125,
-0.026519775390625,
0.0031070709228515625,
-0.037109375,
0.06488037109375,
0.0129547119140625,
-0.04156494140625,
0.01004791259765625,
-0.10931396484375,
0.035491943359375,
0.01259613037109375,
-0.034576416015625,
-0.0077056884765625,
-0.0325927734375,
0.040802001953125,
0.0270538330078125,
0.006519317626953125,
-0.03631591796875,
0.006984710693359375,
-0.024658203125,
0.01837158203125,
0.041961669921875,
-0.0046234130859375,
0.002704620361328125,
-0.035980224609375,
0.03253173828125,
0.01800537109375,
0.031341552734375,
0.0105438232421875,
-0.0283966064453125,
-0.06463623046875,
-0.0094146728515625,
0.0278167724609375,
0.03546142578125,
0.0008435249328613281,
0.061981201171875,
-0.004802703857421875,
-0.060302734375,
-0.015228271484375,
0.00624847412109375,
0.043182373046875,
0.047119140625,
0.03094482421875,
-0.00981903076171875,
-0.04742431640625,
-0.081298828125,
0.01409149169921875,
0.0158843994140625,
0.01190185546875,
0.034820556640625,
0.0399169921875,
-0.021240234375,
0.04571533203125,
-0.045379638671875,
-0.02642822265625,
-0.01605224609375,
0.01236724853515625,
0.031219482421875,
0.0589599609375,
0.06793212890625,
-0.02850341796875,
-0.032135009765625,
-0.00955963134765625,
-0.044921875,
0.0164642333984375,
-0.015899658203125,
-0.02587890625,
0.006317138671875,
0.01190948486328125,
-0.03948974609375,
0.046966552734375,
0.029815673828125,
-0.02239990234375,
0.052093505859375,
-0.0308990478515625,
0.0005269050598144531,
-0.083984375,
0.018157958984375,
0.0158843994140625,
-0.0278167724609375,
-0.01436614990234375,
0.0038604736328125,
0.016754150390625,
-0.019134521484375,
-0.029205322265625,
0.036407470703125,
-0.0175628662109375,
0.00811767578125,
-0.0211639404296875,
-0.01361083984375,
0.0060272216796875,
0.04681396484375,
0.01678466796875,
0.0367431640625,
0.058197021484375,
-0.036346435546875,
0.0160369873046875,
0.034881591796875,
-0.0169219970703125,
0.0404052734375,
-0.06329345703125,
0.00833892822265625,
0.00543975830078125,
0.0066375732421875,
-0.042633056640625,
0.00289154052734375,
0.0270538330078125,
-0.0280609130859375,
0.0262298583984375,
-0.0299072265625,
-0.0188751220703125,
-0.027069091796875,
-0.00891876220703125,
0.0176849365234375,
0.046356201171875,
-0.03497314453125,
0.0189361572265625,
-0.006587982177734375,
0.018218994140625,
-0.032562255859375,
-0.049102783203125,
-0.0018758773803710938,
-0.020843505859375,
-0.04180908203125,
0.0227203369140625,
-0.006984710693359375,
-0.0015773773193359375,
-0.0041351318359375,
-0.0014057159423828125,
-0.01910400390625,
-0.0148162841796875,
0.031707763671875,
0.0210723876953125,
-0.0204925537109375,
-0.016937255859375,
-0.0029621124267578125,
-0.0360107421875,
0.024383544921875,
-0.01113128662109375,
0.055938720703125,
-0.0084991455078125,
-0.01038360595703125,
-0.06365966796875,
0.00872802734375,
0.03717041015625,
-0.00907135009765625,
0.060516357421875,
0.054168701171875,
-0.0310516357421875,
-0.01617431640625,
-0.0199127197265625,
-0.0108489990234375,
-0.027191162109375,
0.032012939453125,
-0.037506103515625,
-0.00977325439453125,
0.057159423828125,
0.00711822509765625,
-0.00878143310546875,
0.061859130859375,
0.035247802734375,
0.01528167724609375,
0.092041015625,
0.0277099609375,
0.00498199462890625,
0.01447296142578125,
-0.083984375,
-0.02587890625,
-0.05859375,
-0.018157958984375,
-0.05029296875,
-0.0183868408203125,
-0.036712646484375,
-0.00791168212890625,
0.02099609375,
-0.00007224082946777344,
-0.040374755859375,
0.0360107421875,
-0.0189361572265625,
0.0169219970703125,
0.06488037109375,
0.04266357421875,
0.004119873046875,
-0.0084228515625,
-0.01125335693359375,
-0.01172637939453125,
-0.066162109375,
-0.04522705078125,
0.0997314453125,
0.0218353271484375,
0.062103271484375,
-0.0119171142578125,
0.0595703125,
-0.0009102821350097656,
0.0008044242858886719,
-0.038299560546875,
0.0283050537109375,
-0.0020618438720703125,
-0.0614013671875,
-0.00537109375,
-0.0333251953125,
-0.06268310546875,
-0.0020465850830078125,
-0.0310211181640625,
-0.037353515625,
0.016510009765625,
0.0285797119140625,
-0.0389404296875,
0.038299560546875,
-0.023284912109375,
0.079833984375,
-0.032562255859375,
-0.033599853515625,
-0.024993896484375,
-0.04150390625,
0.018951416015625,
-0.00440216064453125,
-0.0201263427734375,
0.0131988525390625,
0.0100860595703125,
0.055877685546875,
-0.06451416015625,
0.05126953125,
-0.0281524658203125,
0.020294189453125,
0.019927978515625,
-0.0150604248046875,
0.049896240234375,
0.0228729248046875,
-0.01300048828125,
0.0176849365234375,
0.00531005859375,
-0.040130615234375,
-0.03900146484375,
0.06005859375,
-0.09295654296875,
-0.0210723876953125,
-0.036376953125,
-0.03466796875,
-0.0020961761474609375,
0.018157958984375,
0.04876708984375,
0.06597900390625,
-0.0038909912109375,
0.023712158203125,
0.04034423828125,
-0.0012903213500976562,
0.0058746337890625,
0.0272369384765625,
0.0031833648681640625,
-0.045745849609375,
0.0511474609375,
0.01113128662109375,
0.01861572265625,
0.0079193115234375,
0.007038116455078125,
-0.0225677490234375,
-0.040802001953125,
-0.044403076171875,
0.01520538330078125,
-0.0498046875,
-0.0221405029296875,
-0.0286407470703125,
-0.0302734375,
-0.0143280029296875,
0.00542449951171875,
-0.038299560546875,
-0.0340576171875,
-0.037994384765625,
-0.0094146728515625,
0.0148468017578125,
0.034088134765625,
-0.00144195556640625,
0.050933837890625,
-0.06744384765625,
-0.0102081298828125,
0.0007338523864746094,
0.033447265625,
0.0003056526184082031,
-0.06951904296875,
-0.03814697265625,
0.0095672607421875,
-0.03179931640625,
-0.043609619140625,
0.044708251953125,
0.0089263916015625,
0.052703857421875,
0.050628662109375,
-0.009979248046875,
0.06719970703125,
-0.0256500244140625,
0.0450439453125,
0.01551055908203125,
-0.050384521484375,
0.04437255859375,
-0.0196533203125,
0.0119171142578125,
0.03179931640625,
0.045928955078125,
-0.0008149147033691406,
-0.011199951171875,
-0.09564208984375,
-0.0606689453125,
0.0689697265625,
0.0251922607421875,
0.0028781890869140625,
0.009674072265625,
0.03936767578125,
0.0160064697265625,
0.00774383544921875,
-0.061981201171875,
-0.046966552734375,
-0.0145721435546875,
0.005035400390625,
-0.011627197265625,
-0.0269012451171875,
-0.0262603759765625,
-0.034271240234375,
0.08740234375,
0.006954193115234375,
0.02459716796875,
0.00348663330078125,
-0.0020732879638671875,
-0.0287322998046875,
-0.002655029296875,
0.059173583984375,
0.055328369140625,
-0.052215576171875,
-0.0099639892578125,
0.0099334716796875,
-0.0175933837890625,
0.004230499267578125,
0.0218048095703125,
-0.00792694091796875,
0.00958251953125,
0.01953125,
0.08319091796875,
0.024444580078125,
-0.0239410400390625,
0.0259857177734375,
-0.0116424560546875,
-0.0272216796875,
-0.04638671875,
0.0249481201171875,
-0.0196685791015625,
0.01532745361328125,
0.017669677734375,
0.044342041015625,
0.00482940673828125,
-0.0135345458984375,
0.0189361572265625,
0.0220794677734375,
-0.045684814453125,
-0.03009033203125,
0.0726318359375,
0.00005739927291870117,
-0.0214385986328125,
0.043212890625,
-0.0027256011962890625,
-0.017913818359375,
0.06390380859375,
0.04486083984375,
0.0645751953125,
-0.0019989013671875,
-0.012542724609375,
0.0552978515625,
0.00804901123046875,
0.00492095947265625,
0.0391845703125,
0.00896453857421875,
-0.03179931640625,
-0.01336669921875,
-0.043121337890625,
-0.0233917236328125,
0.042877197265625,
-0.0970458984375,
0.046478271484375,
-0.038909912109375,
-0.0440673828125,
0.01873779296875,
0.0122222900390625,
-0.07171630859375,
0.050048828125,
0.0102081298828125,
0.0977783203125,
-0.06903076171875,
0.06134033203125,
0.047119140625,
-0.035888671875,
-0.0703125,
-0.025634765625,
-0.00832366943359375,
-0.06951904296875,
0.0672607421875,
-0.00478363037109375,
0.0211029052734375,
0.009124755859375,
-0.0308380126953125,
-0.06494140625,
0.077392578125,
0.0182037353515625,
-0.06298828125,
0.0159454345703125,
0.0253448486328125,
0.0401611328125,
-0.01800537109375,
0.03973388671875,
0.0142059326171875,
0.029052734375,
0.0036373138427734375,
-0.06463623046875,
-0.012237548828125,
-0.0194244384765625,
0.0037593841552734375,
0.0127410888671875,
-0.06243896484375,
0.0777587890625,
-0.0016679763793945312,
0.0281829833984375,
0.0282135009765625,
0.032135009765625,
0.0148468017578125,
0.01352691650390625,
0.0360107421875,
0.083984375,
0.033599853515625,
-0.0158538818359375,
0.0745849609375,
-0.06231689453125,
0.0557861328125,
0.08551025390625,
-0.00237274169921875,
0.042877197265625,
0.0138397216796875,
-0.020965576171875,
0.029815673828125,
0.05419921875,
-0.026580810546875,
0.0216064453125,
0.00811004638671875,
0.0000921487808227539,
-0.038543701171875,
0.033111572265625,
-0.04901123046875,
0.034423828125,
0.0017042160034179688,
-0.06549072265625,
-0.035491943359375,
0.0016736984252929688,
0.00803375244140625,
-0.01213836669921875,
-0.03594970703125,
0.033050537109375,
-0.01898193359375,
-0.0214080810546875,
0.07012939453125,
0.00856781005859375,
0.01175689697265625,
-0.049652099609375,
-0.006671905517578125,
-0.00555419921875,
0.041473388671875,
-0.0165863037109375,
-0.037567138671875,
0.0193328857421875,
-0.00927734375,
-0.0301666259765625,
0.003887176513671875,
0.023284912109375,
-0.0192108154296875,
-0.06561279296875,
0.013763427734375,
0.0303192138671875,
0.01800537109375,
0.0012178421020507812,
-0.076171875,
0.00603485107421875,
-0.00202178955078125,
-0.0312347412109375,
0.01467132568359375,
0.02105712890625,
-0.00734710693359375,
0.04718017578125,
0.0350341796875,
0.0098724365234375,
0.00494384765625,
0.01294708251953125,
0.07135009765625,
-0.050506591796875,
-0.0487060546875,
-0.045501708984375,
0.034881591796875,
-0.01003265380859375,
-0.061767578125,
0.05682373046875,
0.0875244140625,
0.0640869140625,
-0.02154541015625,
0.049163818359375,
0.01241302490234375,
0.03863525390625,
-0.03924560546875,
0.042755126953125,
-0.034515380859375,
0.003818511962890625,
-0.0185699462890625,
-0.06866455078125,
-0.01247406005859375,
0.04132080078125,
-0.0218048095703125,
0.01385498046875,
0.02349853515625,
0.053985595703125,
-0.0125579833984375,
-0.004665374755859375,
0.031341552734375,
0.01342010498046875,
0.01201629638671875,
0.03729248046875,
0.0277099609375,
-0.06646728515625,
0.046783447265625,
-0.049346923828125,
-0.0260009765625,
-0.01218414306640625,
-0.0445556640625,
-0.062042236328125,
-0.0253448486328125,
-0.038848876953125,
-0.0292510986328125,
0.01141357421875,
0.0797119140625,
0.079833984375,
-0.05755615234375,
-0.033416748046875,
-0.0018587112426757812,
-0.0355224609375,
-0.02899169921875,
-0.0173797607421875,
0.0380859375,
-0.0224609375,
-0.07257080078125,
-0.0023632049560546875,
-0.01202392578125,
0.02239990234375,
-0.01873779296875,
-0.0219268798828125,
-0.00579833984375,
-0.018829345703125,
0.0189666748046875,
0.0024852752685546875,
-0.0282135009765625,
-0.0250244140625,
-0.00490570068359375,
-0.0016384124755859375,
0.02825927734375,
0.0215301513671875,
-0.04644775390625,
0.021881103515625,
0.01425933837890625,
0.006683349609375,
0.0567626953125,
0.006168365478515625,
0.027984619140625,
-0.05181884765625,
0.0244598388671875,
0.0131988525390625,
0.04327392578125,
-0.006237030029296875,
-0.0283203125,
0.0295867919921875,
0.0282440185546875,
-0.045745849609375,
-0.05804443359375,
-0.01519012451171875,
-0.097412109375,
0.01427459716796875,
0.06884765625,
-0.0085601806640625,
-0.03802490234375,
0.0286407470703125,
-0.03228759765625,
0.014892578125,
-0.01351165771484375,
0.045135498046875,
0.032989501953125,
-0.0153656005859375,
-0.01407623291015625,
-0.031158447265625,
0.031280517578125,
0.0196533203125,
-0.044708251953125,
-0.0093994140625,
0.0246429443359375,
0.041778564453125,
0.0118408203125,
0.0035858154296875,
-0.0160064697265625,
0.0311431884765625,
0.00923919677734375,
0.0257568359375,
-0.027069091796875,
-0.01556396484375,
-0.021636962890625,
0.0072174072265625,
0.0125579833984375,
-0.027496337890625
]
] |
BrianDsouzaAI/autotrain-even_better-91480144518 | 2023-09-26T05:06:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"autotrain",
"en",
"dataset:BrianDsouzaAI/autotrain-data-even_better",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | BrianDsouzaAI | null | null | BrianDsouzaAI/autotrain-even_better-91480144518 | 0 | 2 | transformers | 2023-09-26T05:04:57 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- BrianDsouzaAI/autotrain-data-even_better
co2_eq_emissions:
emissions: 0.387970627555954
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 91480144518
- CO2 Emissions (in grams): 0.3880
## Validation Metrics
- Loss: 0.738
- Accuracy: 0.667
- Macro F1: 0.456
- Micro F1: 0.667
- Weighted F1: 0.648
- Macro Precision: 0.442
- Micro Precision: 0.667
- Weighted Precision: 0.632
- Macro Recall: 0.471
- Micro Recall: 0.667
- Weighted Recall: 0.667
## Usage
You can use cURL to access this model:
```
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/BrianDsouzaAI/autotrain-even_better-91480144518
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("BrianDsouzaAI/autotrain-even_better-91480144518", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("BrianDsouzaAI/autotrain-even_better-91480144518", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` | 1,309 | [
[
-0.032684326171875,
-0.02154541015625,
0.011474609375,
0.01049041748046875,
-0.001445770263671875,
0.0025482177734375,
-0.00244903564453125,
-0.0158233642578125,
-0.00569915771484375,
0.0038738250732421875,
-0.04827880859375,
-0.03192138671875,
-0.0572509765625,
-0.0039215087890625,
-0.029937744140625,
0.0623779296875,
-0.01528167724609375,
0.0167388916015625,
0.004390716552734375,
-0.003063201904296875,
-0.0215301513671875,
-0.0592041015625,
-0.06304931640625,
-0.0296630859375,
0.01457977294921875,
0.00794219970703125,
0.01508331298828125,
0.033538818359375,
0.02862548828125,
0.026947021484375,
0.0034961700439453125,
-0.00839996337890625,
-0.0190582275390625,
-0.0203399658203125,
0.00557708740234375,
-0.03875732421875,
-0.0333251953125,
0.0186767578125,
0.0458984375,
0.0300445556640625,
-0.00867462158203125,
0.0283966064453125,
0.006755828857421875,
0.0199127197265625,
-0.03955078125,
0.0313720703125,
-0.033843994140625,
0.01116943359375,
0.0177001953125,
-0.00547027587890625,
-0.01739501953125,
-0.0010862350463867188,
0.0181121826171875,
-0.045745849609375,
0.0299530029296875,
0.0162506103515625,
0.09783935546875,
0.050537109375,
-0.0203857421875,
-0.0274505615234375,
-0.02764892578125,
0.055084228515625,
-0.0645751953125,
0.0312042236328125,
0.0264739990234375,
0.01483154296875,
0.01016998291015625,
-0.05670166015625,
-0.050750732421875,
-0.005619049072265625,
-0.0228729248046875,
0.02056884765625,
0.00997161865234375,
-0.004608154296875,
0.02020263671875,
0.04034423828125,
-0.051544189453125,
0.0161895751953125,
-0.0263214111328125,
-0.028106689453125,
0.0634765625,
0.032135009765625,
0.00881195068359375,
-0.021148681640625,
-0.0300750732421875,
-0.0443115234375,
-0.001369476318359375,
0.02362060546875,
0.035369873046875,
0.018890380859375,
-0.035186767578125,
0.031463623046875,
-0.0263671875,
0.042388916015625,
0.0113525390625,
0.002960205078125,
0.04583740234375,
-0.0099945068359375,
-0.033294677734375,
-0.005901336669921875,
0.0787353515625,
0.0166168212890625,
-0.01275634765625,
0.0093994140625,
0.0036773681640625,
-0.0018911361694335938,
-0.0016613006591796875,
-0.0687255859375,
-0.032318115234375,
0.03314208984375,
-0.024139404296875,
-0.029937744140625,
0.021942138671875,
-0.044952392578125,
0.01361846923828125,
-0.038238525390625,
0.043426513671875,
-0.01392364501953125,
-0.0328369140625,
0.013427734375,
-0.0158538818359375,
0.0321044921875,
0.01270294189453125,
-0.07379150390625,
-0.0008387565612792969,
0.017059326171875,
0.06304931640625,
-0.01019287109375,
-0.033782958984375,
0.0027370452880859375,
-0.00249481201171875,
0.004596710205078125,
0.039520263671875,
-0.004581451416015625,
-0.0244293212890625,
-0.0244598388671875,
0.03070068359375,
-0.043853759765625,
-0.0223388671875,
0.031646728515625,
-0.033660888671875,
0.032257080078125,
0.0087738037109375,
-0.047027587890625,
-0.0237884521484375,
0.0166168212890625,
-0.0291748046875,
0.09051513671875,
0.0225982666015625,
-0.048004150390625,
0.040191650390625,
-0.0546875,
-0.0170135498046875,
-0.0035076141357421875,
-0.0019550323486328125,
-0.06817626953125,
-0.0184783935546875,
-0.0025043487548828125,
0.03277587890625,
0.005115509033203125,
0.0404052734375,
-0.03558349609375,
-0.00994110107421875,
-0.00800323486328125,
-0.031341552734375,
0.0799560546875,
0.023284912109375,
-0.035614013671875,
0.02001953125,
-0.0810546875,
0.01428985595703125,
0.0107879638671875,
-0.0224609375,
-0.007110595703125,
-0.037933349609375,
0.0236968994140625,
0.0251922607421875,
0.020599365234375,
-0.0325927734375,
0.0140838623046875,
-0.008880615234375,
0.04083251953125,
0.05047607421875,
-0.006378173828125,
0.0133056640625,
-0.0186767578125,
0.012847900390625,
0.00905609130859375,
0.0238800048828125,
0.0219268798828125,
-0.0196533203125,
-0.07879638671875,
-0.0291748046875,
0.0160369873046875,
0.031341552734375,
-0.0167083740234375,
0.08087158203125,
0.0015926361083984375,
-0.06536865234375,
-0.0308074951171875,
-0.005207061767578125,
0.0019254684448242188,
0.041412353515625,
0.0357666015625,
-0.0303802490234375,
-0.0418701171875,
-0.0443115234375,
-0.012786865234375,
-0.004932403564453125,
0.01058197021484375,
0.0190582275390625,
0.0706787109375,
-0.047454833984375,
0.06060791015625,
-0.0472412109375,
-0.0175628662109375,
0.0106964111328125,
0.03790283203125,
0.02227783203125,
0.061614990234375,
0.051055908203125,
-0.0230560302734375,
-0.03778076171875,
-0.043212890625,
-0.061126708984375,
0.01776123046875,
-0.006195068359375,
-0.034881591796875,
0.00388336181640625,
0.019805908203125,
-0.023468017578125,
0.039703369140625,
0.02783203125,
-0.03680419921875,
0.037353515625,
-0.01415252685546875,
0.00772857666015625,
-0.06854248046875,
0.0192108154296875,
-0.01184844970703125,
-0.0133209228515625,
-0.0112457275390625,
-0.002620697021484375,
-0.0021953582763671875,
-0.00982666015625,
-0.0299224853515625,
0.0458984375,
-0.01149749755859375,
0.010498046875,
-0.023193359375,
-0.031341552734375,
0.0205078125,
0.045318603515625,
0.0234375,
0.037017822265625,
0.06781005859375,
-0.0628662109375,
0.03948974609375,
0.043426513671875,
-0.01363372802734375,
0.01337432861328125,
-0.043548583984375,
0.0090789794921875,
0.0089569091796875,
0.0221710205078125,
-0.080810546875,
-0.0438232421875,
0.0219268798828125,
-0.03948974609375,
0.02862548828125,
-0.01032257080078125,
-0.034210205078125,
-0.039886474609375,
0.0076751708984375,
0.034637451171875,
0.018798828125,
-0.0574951171875,
0.03472900390625,
0.004062652587890625,
0.0166015625,
-0.03228759765625,
-0.05010986328125,
-0.031829833984375,
-0.016571044921875,
-0.024078369140625,
0.003993988037109375,
-0.0216827392578125,
0.0254058837890625,
-0.0012998580932617188,
-0.00743865966796875,
-0.01413726806640625,
0.01861572265625,
0.01557159423828125,
0.03125,
0.007472991943359375,
-0.0020465850830078125,
-0.01090240478515625,
-0.0212249755859375,
0.0196990966796875,
-0.003772735595703125,
0.06365966796875,
-0.0241851806640625,
-0.0263214111328125,
-0.058990478515625,
-0.01253509521484375,
0.045623779296875,
-0.00469970703125,
0.06591796875,
0.07391357421875,
-0.0187225341796875,
-0.0019817352294921875,
-0.025115966796875,
-0.0239715576171875,
-0.0347900390625,
0.032379150390625,
-0.0182952880859375,
-0.049835205078125,
0.041534423828125,
0.0007758140563964844,
-0.00339508056640625,
0.072998046875,
0.04571533203125,
-0.006534576416015625,
0.072509765625,
0.0235137939453125,
-0.01279449462890625,
0.0286102294921875,
-0.0670166015625,
-0.0021114349365234375,
-0.055450439453125,
-0.037200927734375,
-0.045379638671875,
0.0006289482116699219,
-0.040313720703125,
0.006839752197265625,
0.01410675048828125,
0.00110626220703125,
-0.07281494140625,
0.04736328125,
-0.061004638671875,
-0.0030364990234375,
0.06817626953125,
0.00818634033203125,
0.00739288330078125,
0.00029468536376953125,
-0.0093231201171875,
0.011688232421875,
-0.0523681640625,
-0.0164794921875,
0.0745849609375,
0.035400390625,
0.049285888671875,
-0.00899505615234375,
0.0509033203125,
0.00727081298828125,
0.01222991943359375,
-0.0516357421875,
0.01239013671875,
0.0101318359375,
-0.07330322265625,
-0.01419830322265625,
-0.03839111328125,
-0.046051025390625,
0.0068511962890625,
-0.0186767578125,
-0.019989013671875,
0.0246124267578125,
0.01483154296875,
-0.039031982421875,
0.033721923828125,
-0.055206298828125,
0.08770751953125,
-0.042694091796875,
-0.02740478515625,
0.004093170166015625,
-0.04541015625,
0.0163116455078125,
0.0013332366943359375,
0.01268768310546875,
-0.00954437255859375,
0.016510009765625,
0.06854248046875,
-0.0413818359375,
0.06341552734375,
-0.034088134765625,
0.0113372802734375,
0.0313720703125,
-0.0309906005859375,
0.0168914794921875,
0.0015535354614257812,
-0.00366973876953125,
0.03765869140625,
0.0142669677734375,
-0.0292510986328125,
-0.0265045166015625,
0.033538818359375,
-0.10382080078125,
-0.00868988037109375,
-0.06475830078125,
-0.03546142578125,
0.003520965576171875,
0.0306243896484375,
0.044342041015625,
0.02276611328125,
0.01641845703125,
0.0001010894775390625,
0.0254364013671875,
-0.0173797607421875,
0.05401611328125,
0.041534423828125,
0.000025451183319091797,
-0.048370361328125,
0.0660400390625,
0.0013170242309570312,
0.0200347900390625,
-0.002407073974609375,
0.011566162109375,
-0.043975830078125,
-0.00972747802734375,
-0.047515869140625,
0.0081634521484375,
-0.0406494140625,
-0.0279541015625,
-0.055328369140625,
-0.037200927734375,
-0.04937744140625,
0.0111541748046875,
-0.041168212890625,
-0.01629638671875,
-0.03912353515625,
-0.005016326904296875,
0.03521728515625,
0.0269775390625,
-0.0226593017578125,
0.056884765625,
-0.052520751953125,
0.01275634765625,
0.0279541015625,
0.040283203125,
0.0073699951171875,
-0.07257080078125,
-0.0234222412109375,
-0.00972747802734375,
-0.033477783203125,
-0.035675048828125,
0.04827880859375,
0.01171112060546875,
0.042724609375,
0.031768798828125,
0.0015583038330078125,
0.0653076171875,
-0.0031585693359375,
0.05029296875,
0.021209716796875,
-0.06658935546875,
0.033416748046875,
-0.00768280029296875,
0.0038661956787109375,
0.051544189453125,
0.045166015625,
-0.0194549560546875,
-0.01221466064453125,
-0.07037353515625,
-0.0784912109375,
0.062164306640625,
0.01496124267578125,
-0.00968170166015625,
0.01149749755859375,
0.03839111328125,
-0.00112152099609375,
0.02349853515625,
-0.0791015625,
-0.033233642578125,
-0.049346923828125,
-0.027069091796875,
0.0004076957702636719,
0.0175323486328125,
-0.001789093017578125,
-0.055816650390625,
0.08740234375,
-0.00836944580078125,
0.02911376953125,
0.027984619140625,
-0.004703521728515625,
-0.0035037994384765625,
0.0012750625610351562,
0.0303802490234375,
0.00949859619140625,
-0.0311431884765625,
-0.0021610260009765625,
0.01111602783203125,
-0.03521728515625,
0.025177001953125,
0.01528167724609375,
-0.006435394287109375,
-0.0126190185546875,
0.02008056640625,
0.06854248046875,
-0.01512908935546875,
-0.00850677490234375,
0.026580810546875,
-0.01325225830078125,
-0.017242431640625,
-0.05706787109375,
0.0301666259765625,
-0.01389312744140625,
0.00833892822265625,
0.0230560302734375,
0.03350830078125,
0.00905609130859375,
-0.0257415771484375,
0.01318359375,
0.0289306640625,
-0.031707763671875,
-0.0011529922485351562,
0.0811767578125,
0.0037250518798828125,
-0.0016460418701171875,
0.05670166015625,
-0.0230255126953125,
-0.0413818359375,
0.0614013671875,
0.023345947265625,
0.058502197265625,
-0.00994873046875,
-0.026580810546875,
0.0782470703125,
0.00855255126953125,
-0.01171875,
0.0076141357421875,
0.00766754150390625,
-0.047576904296875,
-0.017669677734375,
-0.06414794921875,
-0.0208740234375,
0.0254058837890625,
-0.07196044921875,
0.0261383056640625,
-0.0249176025390625,
-0.021392822265625,
-0.01268768310546875,
0.019744873046875,
-0.06390380859375,
0.039337158203125,
0.01081085205078125,
0.05401611328125,
-0.0843505859375,
0.051239013671875,
0.040191650390625,
-0.057952880859375,
-0.0911865234375,
-0.0290374755859375,
-0.0163421630859375,
-0.06500244140625,
0.0469970703125,
0.021820068359375,
0.005615234375,
0.0308837890625,
-0.0574951171875,
-0.060394287109375,
0.09857177734375,
0.00156402587890625,
-0.047607421875,
-0.00505828857421875,
0.021820068359375,
0.0237274169921875,
-0.0113677978515625,
0.051513671875,
0.041259765625,
0.040191650390625,
0.0086669921875,
-0.058807373046875,
-0.0076751708984375,
-0.02044677734375,
-0.0224151611328125,
-0.018280029296875,
-0.09368896484375,
0.07177734375,
0.0026493072509765625,
0.0098419189453125,
-0.000011920928955078125,
0.0447998046875,
0.0223541259765625,
0.0217132568359375,
0.04168701171875,
0.0799560546875,
0.05218505859375,
-0.0182952880859375,
0.051788330078125,
-0.034759521484375,
0.0811767578125,
0.0770263671875,
0.002307891845703125,
0.03631591796875,
0.0025043487548828125,
-0.0240631103515625,
0.056121826171875,
0.07342529296875,
-0.038970947265625,
0.04541015625,
0.005096435546875,
-0.00992584228515625,
-0.019622802734375,
0.026275634765625,
-0.0467529296875,
0.03533935546875,
0.010284423828125,
-0.0309295654296875,
-0.00373077392578125,
-0.0005598068237304688,
-0.00510406494140625,
-0.0390625,
-0.0162200927734375,
0.04974365234375,
-0.01512908935546875,
-0.042327880859375,
0.054901123046875,
-0.0090789794921875,
0.058074951171875,
-0.039825439453125,
-0.0018062591552734375,
0.00971221923828125,
0.024322509765625,
-0.0323486328125,
-0.02520751953125,
0.0168914794921875,
-0.02362060546875,
-0.0167083740234375,
-0.0016889572143554688,
0.0333251953125,
-0.032501220703125,
-0.04296875,
0.026458740234375,
0.0199432373046875,
0.01433563232421875,
0.00036525726318359375,
-0.0721435546875,
0.0035037994384765625,
0.00008338689804077148,
-0.021026611328125,
0.00812530517578125,
0.00528717041015625,
0.03546142578125,
0.037872314453125,
0.04595947265625,
-0.01374053955078125,
0.02783203125,
-0.003070831298828125,
0.056243896484375,
-0.042724609375,
-0.034942626953125,
-0.05810546875,
0.031951904296875,
-0.004703521728515625,
-0.03131103515625,
0.054351806640625,
0.07403564453125,
0.07659912109375,
-0.01222991943359375,
0.072509765625,
-0.0211944580078125,
0.036651611328125,
-0.02154541015625,
0.062744140625,
-0.035888671875,
-0.00722503662109375,
-0.00797271728515625,
-0.03070068359375,
0.0016546249389648438,
0.07647705078125,
-0.0187835693359375,
0.0235443115234375,
0.042144775390625,
0.049560546875,
-0.014678955078125,
0.00432586669921875,
-0.0086212158203125,
0.015777587890625,
0.021331787109375,
0.033233642578125,
0.04364013671875,
-0.071533203125,
0.0248260498046875,
-0.039154052734375,
-0.017242431640625,
-0.01490020751953125,
-0.044921875,
-0.06500244140625,
-0.03155517578125,
-0.04083251953125,
-0.04327392578125,
-0.039703369140625,
0.07659912109375,
0.0782470703125,
-0.072998046875,
-0.02239990234375,
-0.0316162109375,
-0.0293731689453125,
-0.004852294921875,
-0.02587890625,
0.0579833984375,
-0.045318603515625,
-0.0699462890625,
0.00019788742065429688,
-0.035308837890625,
0.0257720947265625,
-0.0195159912109375,
-0.0132293701171875,
-0.0191497802734375,
-0.027587890625,
0.0219879150390625,
0.0209808349609375,
-0.0247802734375,
-0.023284912109375,
-0.0088043212890625,
-0.01152801513671875,
0.0146484375,
0.0193328857421875,
-0.036956787109375,
0.0234222412109375,
0.027130126953125,
0.03271484375,
0.0540771484375,
-0.00928497314453125,
0.0103759765625,
-0.034637451171875,
0.0257110595703125,
-0.00008124113082885742,
0.0362548828125,
0.0206146240234375,
-0.0275726318359375,
0.0411376953125,
0.05328369140625,
-0.0582275390625,
-0.0428466796875,
-0.004917144775390625,
-0.0743408203125,
-0.001293182373046875,
0.06658935546875,
-0.017059326171875,
-0.024261474609375,
-0.0129547119140625,
-0.00469970703125,
0.0548095703125,
-0.021087646484375,
0.056884765625,
0.051300048828125,
-0.0289306640625,
-0.0004343986511230469,
-0.041168212890625,
0.03411865234375,
0.0217742919921875,
-0.06689453125,
-0.013427734375,
0.01230621337890625,
0.056060791015625,
0.02978515625,
0.024322509765625,
-0.00844573974609375,
-0.006153106689453125,
0.00928497314453125,
0.0263671875,
-0.01428985595703125,
-0.01372528076171875,
-0.0116424560546875,
-0.006412506103515625,
-0.01334381103515625,
-0.02972412109375
]
] |
dimonyara/Llama2-13b-lora-int4 | 2023-09-26T05:13:26.000Z | [
"peft",
"region:us"
] | null | dimonyara | null | null | dimonyara/Llama2-13b-lora-int4 | 0 | 2 | peft | 2023-09-26T05:13:18 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.6.0.dev0
| 440 | [
[
-0.04815673828125,
-0.05224609375,
0.03192138671875,
0.033935546875,
-0.036956787109375,
0.006664276123046875,
0.01291656494140625,
-0.01422882080078125,
-0.0126953125,
0.03271484375,
-0.04205322265625,
-0.006961822509765625,
-0.0340576171875,
0.012054443359375,
-0.00044727325439453125,
0.068603515625,
-0.007190704345703125,
0.03192138671875,
-0.00823974609375,
0.0024433135986328125,
-0.0214080810546875,
-0.026336669921875,
-0.07501220703125,
-0.027984619140625,
-0.0222320556640625,
0.0250244140625,
0.031707763671875,
0.007251739501953125,
0.05322265625,
0.019622802734375,
0.0003960132598876953,
-0.0237884521484375,
-0.015228271484375,
-0.0300750732421875,
0.004238128662109375,
-0.036590576171875,
-0.05859375,
-0.0086517333984375,
0.07501220703125,
0.01422882080078125,
-0.005886077880859375,
0.0083770751953125,
-0.0171051025390625,
0.06396484375,
-0.04827880859375,
0.00690460205078125,
-0.037872314453125,
0.036956787109375,
-0.0030231475830078125,
-0.00698089599609375,
-0.0150146484375,
-0.01238250732421875,
0.0006709098815917969,
-0.03631591796875,
0.028656005859375,
0.003856658935546875,
0.06915283203125,
0.0113677978515625,
-0.052215576171875,
0.01012420654296875,
-0.032928466796875,
0.048095703125,
-0.046417236328125,
0.039794921875,
0.0438232421875,
0.005573272705078125,
0.007568359375,
-0.050506591796875,
-0.0296173095703125,
0.0178070068359375,
0.0199127197265625,
-0.01468658447265625,
-0.0048980712890625,
0.038177490234375,
0.057769775390625,
0.0438232421875,
-0.02703857421875,
-0.0191650390625,
-0.0435791015625,
-0.037933349609375,
0.048675537109375,
0.007358551025390625,
-0.0202789306640625,
0.0270538330078125,
-0.05908203125,
-0.0007848739624023438,
-0.051483154296875,
0.01425933837890625,
0.0287628173828125,
-0.01129913330078125,
-0.043914794921875,
0.0201873779296875,
-0.0197601318359375,
0.041900634765625,
0.0609130859375,
0.00583648681640625,
0.07098388671875,
-0.0338134765625,
-0.043304443359375,
0.02740478515625,
0.0625,
0.0183868408203125,
0.0074310302734375,
0.002475738525390625,
-0.03936767578125,
-0.027191162109375,
0.0330810546875,
-0.08941650390625,
-0.0239410400390625,
0.02728271484375,
-0.006145477294921875,
-0.0309906005859375,
0.015777587890625,
-0.037628173828125,
0.01241302490234375,
0.0133514404296875,
0.0584716796875,
-0.058380126953125,
-0.032257080078125,
0.0229644775390625,
-0.0234527587890625,
0.03948974609375,
0.00580596923828125,
-0.0814208984375,
0.041351318359375,
0.040191650390625,
0.041259765625,
0.01036834716796875,
-0.01126861572265625,
-0.0309600830078125,
-0.007801055908203125,
-0.01430511474609375,
0.027801513671875,
0.020355224609375,
-0.019744873046875,
-0.01358795166015625,
0.0117950439453125,
-0.011688232421875,
-0.04364013671875,
0.049163818359375,
-0.038818359375,
-0.007335662841796875,
-0.0145721435546875,
-0.037017822265625,
-0.0224761962890625,
0.0208740234375,
-0.041595458984375,
0.080810546875,
0.032806396484375,
-0.04766845703125,
0.0200042724609375,
-0.034942626953125,
-0.025177001953125,
0.01715087890625,
-0.03350830078125,
-0.051300048828125,
0.03924560546875,
-0.0254669189453125,
0.0272064208984375,
0.01081085205078125,
0.022918701171875,
-0.01320648193359375,
-0.061004638671875,
0.0228271484375,
-0.0269622802734375,
0.07086181640625,
0.01021575927734375,
-0.054290771484375,
-0.00902557373046875,
-0.0643310546875,
0.0218658447265625,
-0.0019102096557617188,
-0.04718017578125,
0.036590576171875,
-0.0335693359375,
0.006011962890625,
0.004459381103515625,
0.0389404296875,
-0.060150146484375,
-0.0122833251953125,
-0.044403076171875,
0.043670654296875,
0.053131103515625,
-0.0029582977294921875,
0.0243988037109375,
-0.0195465087890625,
0.0321044921875,
0.005573272705078125,
0.0279388427734375,
0.04541015625,
-0.037872314453125,
-0.062255859375,
-0.0017671585083007812,
0.010772705078125,
0.033203125,
-0.05206298828125,
0.056060791015625,
0.00934600830078125,
-0.0151519775390625,
-0.00959014892578125,
-0.007747650146484375,
0.0352783203125,
0.0126190185546875,
0.01340484619140625,
-0.007671356201171875,
-0.036895751953125,
-0.0712890625,
0.033111572265625,
0.005340576171875,
0.008941650390625,
-0.0053863525390625,
0.058197021484375,
0.0112152099609375,
0.037628173828125,
-0.0242919921875,
-0.0012950897216796875,
0.0006661415100097656,
0.0029010772705078125,
0.035369873046875,
0.052825927734375,
0.061248779296875,
-0.06988525390625,
-0.025115966796875,
-0.04571533203125,
-0.0088348388671875,
0.0108795166015625,
-0.01241302490234375,
-0.0221099853515625,
0.03167724609375,
0.01325225830078125,
-0.0264892578125,
0.0421142578125,
0.038604736328125,
-0.055633544921875,
0.0589599609375,
-0.017669677734375,
0.0211029052734375,
-0.05511474609375,
0.0015439987182617188,
-0.00004947185516357422,
-0.031494140625,
0.006336212158203125,
-0.00214385986328125,
0.0298614501953125,
0.0054473876953125,
-0.05322265625,
0.01617431640625,
-0.017608642578125,
-0.0092926025390625,
-0.0101165771484375,
-0.047271728515625,
0.02587890625,
0.037261962890625,
0.006595611572265625,
0.07452392578125,
0.04742431640625,
-0.04388427734375,
0.0263824462890625,
0.005146026611328125,
0.009613037109375,
0.04449462890625,
-0.044830322265625,
0.007144927978515625,
0.034912109375,
-0.0008244514465332031,
-0.05517578125,
0.005634307861328125,
0.0183258056640625,
-0.02740478515625,
0.0275726318359375,
-0.010009765625,
-0.037017822265625,
-0.00571441650390625,
-0.051177978515625,
0.040069580078125,
0.033447265625,
-0.0158843994140625,
0.0206756591796875,
0.01009368896484375,
0.04351806640625,
-0.0149688720703125,
-0.065185546875,
-0.031463623046875,
-0.006824493408203125,
-0.037689208984375,
0.055633544921875,
-0.036773681640625,
0.0034084320068359375,
-0.026336669921875,
-0.03887939453125,
-0.03363037109375,
0.01157379150390625,
0.02685546875,
0.02239990234375,
-0.01465606689453125,
-0.002872467041015625,
0.018310546875,
-0.003082275390625,
0.034698486328125,
-0.006771087646484375,
0.04339599609375,
-0.046295166015625,
-0.0008392333984375,
-0.0249481201171875,
0.00920867919921875,
0.01067352294921875,
0.0170135498046875,
0.056549072265625,
0.0799560546875,
-0.038848876953125,
0.00836181640625,
-0.03045654296875,
-0.0192413330078125,
-0.039520263671875,
0.016845703125,
-0.039794921875,
-0.07659912109375,
0.0149078369140625,
0.000762939453125,
-0.0010528564453125,
0.05810546875,
0.02252197265625,
-0.0240325927734375,
0.049560546875,
0.03192138671875,
0.032501220703125,
0.04742431640625,
-0.03863525390625,
0.00026679039001464844,
-0.07421875,
-0.0034770965576171875,
-0.02923583984375,
-0.028900146484375,
-0.054779052734375,
-0.0031032562255859375,
0.038818359375,
0.03863525390625,
-0.06268310546875,
0.00940704345703125,
-0.041168212890625,
0.034393310546875,
0.04144287109375,
0.0271759033203125,
-0.0186004638671875,
0.01378631591796875,
-0.01209259033203125,
0.01016998291015625,
-0.04052734375,
0.000720977783203125,
0.09539794921875,
0.0143585205078125,
0.034027099609375,
-0.0066986083984375,
0.058197021484375,
0.00876617431640625,
-0.0347900390625,
-0.038848876953125,
0.04217529296875,
-0.01282501220703125,
-0.06964111328125,
-0.01195526123046875,
-0.03240966796875,
-0.040191650390625,
-0.0104522705078125,
-0.0301666259765625,
-0.05291748046875,
0.0185546875,
0.0280609130859375,
-0.04815673828125,
0.008575439453125,
-0.043792724609375,
0.07318115234375,
-0.03533935546875,
-0.008636474609375,
-0.022857666015625,
-0.055633544921875,
0.01081085205078125,
-0.0014095306396484375,
-0.0040740966796875,
-0.006099700927734375,
-0.0069427490234375,
0.0709228515625,
-0.02838134765625,
0.049041748046875,
-0.024871826171875,
0.02398681640625,
0.0274505615234375,
-0.0189208984375,
0.026336669921875,
0.0103607177734375,
-0.005878448486328125,
0.044586181640625,
0.03466796875,
-0.03948974609375,
0.0023746490478515625,
0.04290771484375,
-0.07672119140625,
0.0002422332763671875,
-0.05340576171875,
-0.019073486328125,
-0.01534271240234375,
0.00927734375,
0.04486083984375,
0.0242767333984375,
0.007785797119140625,
0.028900146484375,
0.0830078125,
0.015960693359375,
0.041351318359375,
0.0305023193359375,
-0.006565093994140625,
-0.0670166015625,
0.053924560546875,
0.006038665771484375,
0.0419921875,
0.029144287109375,
0.0233612060546875,
-0.0187225341796875,
-0.06170654296875,
-0.023345947265625,
0.013427734375,
-0.0287628173828125,
-0.034881591796875,
-0.01500701904296875,
-0.041748046875,
-0.054290771484375,
0.00209808349609375,
-0.03900146484375,
-0.054412841796875,
-0.030853271484375,
-0.01384735107421875,
0.048583984375,
-0.002727508544921875,
-0.020477294921875,
0.062469482421875,
-0.07373046875,
0.01111602783203125,
0.00018084049224853516,
0.02691650390625,
-0.0272064208984375,
-0.048309326171875,
-0.06365966796875,
-0.0015735626220703125,
-0.06060791015625,
-0.06024169921875,
-0.00328826904296875,
0.025909423828125,
0.0299224853515625,
0.037078857421875,
0.0014438629150390625,
0.0196533203125,
-0.01404571533203125,
0.0445556640625,
0.01287841796875,
-0.07647705078125,
0.038818359375,
-0.006893157958984375,
0.029144287109375,
0.0570068359375,
0.035980224609375,
0.007518768310546875,
0.01294708251953125,
-0.07965087890625,
-0.06549072265625,
0.0484619140625,
0.017547607421875,
-0.006877899169921875,
0.0102996826171875,
0.034454345703125,
0.000263214111328125,
0.056671142578125,
-0.052520751953125,
-0.00551605224609375,
-0.016204833984375,
-0.0027637481689453125,
0.032318115234375,
-0.0222625732421875,
-0.0008988380432128906,
-0.0255279541015625,
0.07867431640625,
-0.01068115234375,
0.037750244140625,
0.01558685302734375,
-0.006443023681640625,
-0.028961181640625,
0.003936767578125,
0.0225067138671875,
0.05218505859375,
-0.062255859375,
0.014373779296875,
-0.0013256072998046875,
-0.06842041015625,
0.005794525146484375,
0.01263427734375,
-0.0205535888671875,
-0.0213470458984375,
0.00031566619873046875,
0.0794677734375,
0.0154266357421875,
-0.024139404296875,
0.0232086181640625,
-0.005519866943359375,
-0.046173095703125,
-0.046295166015625,
0.037933349609375,
-0.00821685791015625,
0.031280517578125,
0.003726959228515625,
0.005077362060546875,
0.01291656494140625,
-0.00971221923828125,
0.01131439208984375,
0.0264892578125,
-0.0229034423828125,
-0.0275115966796875,
0.0290985107421875,
0.03350830078125,
-0.01453399658203125,
0.06414794921875,
-0.05291748046875,
-0.027008056640625,
0.056671142578125,
0.037353515625,
0.07501220703125,
0.0005865097045898438,
0.0035762786865234375,
0.023468017578125,
0.01552581787109375,
0.0003693103790283203,
0.072265625,
-0.018157958984375,
-0.0804443359375,
-0.0224151611328125,
-0.07391357421875,
-0.0145721435546875,
0.0132904052734375,
-0.060516357421875,
0.0182952880859375,
-0.0673828125,
-0.03570556640625,
0.01222991943359375,
0.0433349609375,
-0.055877685546875,
0.0306243896484375,
0.02569580078125,
0.0809326171875,
-0.060516357421875,
0.09149169921875,
0.06549072265625,
-0.0263214111328125,
-0.048431396484375,
-0.022247314453125,
-0.008514404296875,
-0.052520751953125,
0.035888671875,
0.0067901611328125,
0.0188140869140625,
0.033233642578125,
-0.039886474609375,
-0.037811279296875,
0.0928955078125,
0.0235443115234375,
-0.05401611328125,
0.007213592529296875,
0.0184326171875,
-0.0006847381591796875,
-0.0143280029296875,
0.01273345947265625,
0.0440673828125,
0.024322509765625,
0.016326904296875,
-0.0631103515625,
0.003253936767578125,
0.0027179718017578125,
-0.01561737060546875,
0.04925537109375,
-0.057220458984375,
0.09051513671875,
-0.000002562999725341797,
0.03143310546875,
-0.00724029541015625,
0.0298614501953125,
0.04046630859375,
0.01235198974609375,
0.0555419921875,
0.059478759765625,
0.0247802734375,
-0.006801605224609375,
0.0306854248046875,
-0.036773681640625,
0.048919677734375,
0.069091796875,
-0.0088043212890625,
0.05078125,
0.070556640625,
-0.0460205078125,
0.006103515625,
0.0604248046875,
-0.0195159912109375,
0.033843994140625,
0.0017042160034179688,
-0.033660888671875,
-0.0312347412109375,
0.0201873779296875,
-0.0250091552734375,
0.005645751953125,
0.038482666015625,
-0.021209716796875,
-0.00502777099609375,
-0.0106658935546875,
0.0070037841796875,
-0.055389404296875,
-0.0271759033203125,
0.0416259765625,
0.0028781890869140625,
-0.01393890380859375,
0.044464111328125,
0.0011949539184570312,
0.06201171875,
-0.0640869140625,
-0.02154541015625,
-0.0008831024169921875,
0.023101806640625,
-0.0163116455078125,
-0.053924560546875,
0.03411865234375,
-0.01611328125,
-0.033599853515625,
-0.0139007568359375,
0.045928955078125,
-0.007762908935546875,
-0.052001953125,
-0.0002397298812866211,
-0.011444091796875,
0.0162506103515625,
-0.05029296875,
-0.065673828125,
0.01261138916015625,
0.0306854248046875,
-0.0350341796875,
0.046844482421875,
0.04931640625,
0.0179290771484375,
0.01279449462890625,
0.01788330078125,
0.00911712646484375,
0.01340484619140625,
-0.0090484619140625,
0.051788330078125,
-0.051666259765625,
-0.043182373046875,
-0.0615234375,
0.035980224609375,
0.0045166015625,
-0.04022216796875,
0.0223846435546875,
0.055694580078125,
0.084716796875,
0.010955810546875,
0.030181884765625,
-0.0200042724609375,
-0.01471710205078125,
-0.0589599609375,
0.03570556640625,
-0.01364898681640625,
-0.0018033981323242188,
0.020233154296875,
-0.039794921875,
0.024017333984375,
0.064208984375,
-0.0012226104736328125,
0.001956939697265625,
0.0743408203125,
0.029052734375,
-0.006023406982421875,
0.0207977294921875,
0.0171356201171875,
0.01351165771484375,
0.004985809326171875,
0.050445556640625,
0.006313323974609375,
-0.06341552734375,
0.0283050537109375,
-0.057525634765625,
-0.02545166015625,
-0.00968170166015625,
-0.062469482421875,
-0.036407470703125,
-0.0161895751953125,
-0.051666259765625,
-0.03216552734375,
-0.00879669189453125,
0.06109619140625,
0.0589599609375,
-0.05712890625,
-0.0306854248046875,
-0.021697998046875,
-0.010162353515625,
-0.010711669921875,
-0.019378662109375,
0.0216522216796875,
-0.00803375244140625,
-0.02703857421875,
0.010223388671875,
0.00812530517578125,
0.028900146484375,
-0.024139404296875,
-0.0189971923828125,
-0.03607177734375,
-0.007686614990234375,
0.01178741455078125,
-0.01556396484375,
-0.0048675537109375,
-0.01381683349609375,
-0.0274658203125,
0.00943756103515625,
0.04095458984375,
0.040069580078125,
-0.061859130859375,
0.0076141357421875,
0.048065185546875,
0.0199432373046875,
0.04962158203125,
-0.0272064208984375,
0.0252685546875,
-0.071533203125,
0.0264129638671875,
0.025543212890625,
0.0311279296875,
-0.006832122802734375,
-0.047332763671875,
0.03045654296875,
0.041473388671875,
-0.0599365234375,
-0.038604736328125,
-0.0078582763671875,
-0.08392333984375,
0.00011938810348510742,
0.05401611328125,
-0.00992584228515625,
-0.038482666015625,
0.0289459228515625,
-0.00627899169921875,
0.015106201171875,
-0.046173095703125,
0.0270538330078125,
0.038818359375,
-0.038330078125,
-0.006824493408203125,
-0.05078125,
0.0300750732421875,
0.01189422607421875,
-0.046783447265625,
-0.05419921875,
0.030181884765625,
0.03289794921875,
0.00298309326171875,
0.055877685546875,
-0.00476837158203125,
0.023590087890625,
0.027008056640625,
0.0253448486328125,
-0.0196685791015625,
-0.008453369140625,
-0.03436279296875,
-0.002349853515625,
0.002948760986328125,
-0.059356689453125
]
] |
line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False | 2023-09-27T23:56:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | line-corporation | null | null | line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False | 0 | 2 | transformers | 2023-09-26T06:15:51 | ---
license: apache-2.0
inference: false
language: ja
---
# japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False
This repository provides a 3.6B parameters Japanese language **quantized** model, fine-tuned and trained by [LINE Corporation](https://linecorp.com/ja/).
## For Japanese
詳細な説明や実験に関しては「[【インターンレポート】量子化による大規模言語モデル軽量化の効果測定](https://engineering.linecorp.com/ja/blog/quantization-lightweighting-llms)」をご覧ください。
## How to use
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("line-corporation/japanese-large-lm-3.6b-instruction-sft", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False")
generator = pipeline("text-generation", model=model, tokenizer=tokenizer, device=0)
input_text = """四国の県名を全て列挙してください。"""
text = generator(
f"ユーザー: {input_text}\nシステム: ",
max_length = 256,
do_sample = True,
temperature = 0.7,
top_p = 0.9,
top_k = 0,
repetition_penalty = 1.1,
num_beams = 1,
pad_token_id = tokenizer.pad_token_id,
num_return_sequences = 1,
)
print(text) # [{'generated_text': 'ユーザー: 四国の県名を全て列挙してください。\nシステム: 高知県、徳島県、香川県、愛媛県'}]
```
## Tokenization
We use a sentencepiece tokenizer with a unigram language model and byte-fallback.
We **do not** apply pre-tokenization with Japanese tokenizer.
Thus, a user may directly feed raw sentences into the tokenizer.
## License
[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) | 1,591 | [
[
-0.017669677734375,
-0.068115234375,
0.032928466796875,
0.03729248046875,
-0.052337646484375,
-0.006359100341796875,
-0.01535797119140625,
0.001422882080078125,
0.0102386474609375,
0.045684814453125,
-0.0386962890625,
-0.04473876953125,
-0.043548583984375,
0.00696563720703125,
-0.01251220703125,
0.07672119140625,
-0.0333251953125,
0.01192474365234375,
0.014801025390625,
0.00893402099609375,
-0.0176239013671875,
-0.031768798828125,
-0.061614990234375,
-0.0196685791015625,
0.01461029052734375,
0.0150909423828125,
0.0474853515625,
0.046905517578125,
0.02642822265625,
0.0279083251953125,
0.0150909423828125,
-0.00908660888671875,
-0.0096893310546875,
-0.0003688335418701172,
0.02313232421875,
-0.042694091796875,
-0.028228759765625,
-0.001514434814453125,
0.06341552734375,
0.031768798828125,
0.01088714599609375,
0.00731658935546875,
-0.0152740478515625,
0.021453857421875,
-0.031341552734375,
0.0299072265625,
-0.03350830078125,
0.0017271041870117188,
-0.0192108154296875,
-0.02264404296875,
-0.033935546875,
-0.021453857421875,
-0.02557373046875,
-0.04339599609375,
0.01416778564453125,
0.0034160614013671875,
0.0965576171875,
0.0230560302734375,
-0.026641845703125,
-0.0112457275390625,
-0.0281219482421875,
0.07220458984375,
-0.07769775390625,
0.01216888427734375,
0.033111572265625,
0.00013709068298339844,
-0.0130157470703125,
-0.07586669921875,
-0.032562255859375,
-0.00901031494140625,
-0.0034580230712890625,
0.01453399658203125,
0.005100250244140625,
0.01531219482421875,
0.04736328125,
0.0270538330078125,
-0.052154541015625,
0.0222930908203125,
-0.037322998046875,
-0.029052734375,
0.04669189453125,
0.02264404296875,
0.03350830078125,
-0.0301666259765625,
-0.03564453125,
-0.01947021484375,
-0.0297698974609375,
0.00555419921875,
0.033843994140625,
0.01532745361328125,
-0.033203125,
0.04949951171875,
-0.0213165283203125,
0.044403076171875,
0.005741119384765625,
-0.00966644287109375,
0.0270538330078125,
-0.0216522216796875,
-0.025634765625,
0.00026488304138183594,
0.1043701171875,
0.0157928466796875,
0.00696563720703125,
0.005817413330078125,
-0.01238250732421875,
-0.009490966796875,
-0.015960693359375,
-0.09393310546875,
-0.0145721435546875,
0.007442474365234375,
-0.0283966064453125,
-0.01531982421875,
0.0233306884765625,
-0.051727294921875,
0.00901031494140625,
0.008087158203125,
0.045440673828125,
-0.0369873046875,
-0.006771087646484375,
0.0048370361328125,
-0.0212554931640625,
0.03497314453125,
-0.01436614990234375,
-0.06866455078125,
0.00026416778564453125,
0.01300811767578125,
0.058380126953125,
0.021881103515625,
-0.03656005859375,
-0.0123138427734375,
0.0039520263671875,
-0.0163726806640625,
0.02764892578125,
-0.00908660888671875,
-0.03350830078125,
-0.026641845703125,
0.010040283203125,
-0.0167999267578125,
-0.0173492431640625,
0.032867431640625,
-0.037689208984375,
0.043182373046875,
0.01203155517578125,
-0.043914794921875,
0.0020771026611328125,
-0.00582122802734375,
-0.036590576171875,
0.0760498046875,
0.007122039794921875,
-0.06585693359375,
0.01904296875,
-0.036102294921875,
-0.034576416015625,
0.0108795166015625,
-0.00791168212890625,
-0.04168701171875,
-0.0004451274871826172,
0.0270843505859375,
0.04461669921875,
-0.00787353515625,
0.025665283203125,
-0.020172119140625,
-0.041839599609375,
0.035614013671875,
-0.06341552734375,
0.09515380859375,
0.0212249755859375,
-0.0386962890625,
0.020111083984375,
-0.0643310546875,
0.0140380859375,
0.0160369873046875,
-0.0252227783203125,
-0.007320404052734375,
-0.01531982421875,
0.0104217529296875,
0.00807952880859375,
0.05267333984375,
-0.031280517578125,
0.0128936767578125,
-0.05535888671875,
0.05401611328125,
0.0546875,
0.01409149169921875,
0.01430511474609375,
-0.0022335052490234375,
0.043487548828125,
0.01404571533203125,
0.001316070556640625,
-0.0218963623046875,
-0.023773193359375,
-0.07623291015625,
-0.037109375,
0.013946533203125,
0.034271240234375,
-0.07818603515625,
0.064697265625,
-0.01006317138671875,
-0.04351806640625,
-0.0286407470703125,
-0.01224517822265625,
0.0239105224609375,
0.02142333984375,
0.0211639404296875,
0.00524139404296875,
-0.056854248046875,
-0.055633544921875,
-0.013519287109375,
-0.0187530517578125,
-0.01104736328125,
-0.01373291015625,
0.0380859375,
-0.024139404296875,
0.058074951171875,
-0.038970947265625,
-0.002521514892578125,
-0.01348114013671875,
0.03369140625,
0.055389404296875,
0.04296875,
0.011260986328125,
-0.036865234375,
-0.04315185546875,
-0.0181732177734375,
-0.05364990234375,
-0.01064300537109375,
-0.011383056640625,
-0.01479339599609375,
0.028411865234375,
0.040802001953125,
-0.04547119140625,
0.022125244140625,
0.033905029296875,
-0.0467529296875,
0.034637451171875,
-0.024322509765625,
0.0155181884765625,
-0.1217041015625,
0.0177459716796875,
-0.0035343170166015625,
-0.0163116455078125,
-0.0262298583984375,
0.0284271240234375,
0.009521484375,
-0.01018524169921875,
-0.047210693359375,
0.054168701171875,
-0.032562255859375,
0.00977325439453125,
-0.01473236083984375,
0.0018758773803710938,
0.0012569427490234375,
0.045440673828125,
0.0093841552734375,
0.061614990234375,
0.03436279296875,
-0.0438232421875,
0.0489501953125,
0.006988525390625,
-0.020416259765625,
0.0078582763671875,
-0.0592041015625,
-0.00637054443359375,
0.00707244873046875,
0.01934814453125,
-0.07122802734375,
-0.0236358642578125,
0.036346435546875,
-0.04962158203125,
0.017486572265625,
0.0017070770263671875,
-0.052154541015625,
-0.034759521484375,
-0.0235748291015625,
0.0258941650390625,
0.051300048828125,
-0.0247650146484375,
0.0219573974609375,
-0.0017938613891601562,
-0.006084442138671875,
-0.042144775390625,
-0.06890869140625,
-0.01136016845703125,
-0.018646240234375,
-0.0343017578125,
0.0129241943359375,
-0.0217742919921875,
0.015899658203125,
-0.013641357421875,
-0.006473541259765625,
-0.0273284912109375,
0.00923919677734375,
-0.0014448165893554688,
0.037750244140625,
-0.0240936279296875,
-0.0289764404296875,
0.01593017578125,
-0.0269775390625,
0.030059814453125,
-0.008758544921875,
0.06622314453125,
-0.0026531219482421875,
-0.01111602783203125,
-0.04608154296875,
-0.006710052490234375,
0.033294677734375,
0.0033283233642578125,
0.057281494140625,
0.0853271484375,
-0.0264739990234375,
-0.0024585723876953125,
-0.0157470703125,
-0.00954437255859375,
-0.0386962890625,
0.046356201171875,
-0.036468505859375,
-0.0540771484375,
0.0482177734375,
0.0234832763671875,
-0.004150390625,
0.0574951171875,
0.041229248046875,
0.00421142578125,
0.09088134765625,
0.0157012939453125,
-0.01010894775390625,
0.0213775634765625,
-0.03375244140625,
0.021087646484375,
-0.06268310546875,
-0.00478363037109375,
-0.0291290283203125,
-0.00021386146545410156,
-0.053375244140625,
-0.0257568359375,
0.0177459716796875,
0.0210113525390625,
-0.043731689453125,
0.02978515625,
-0.033843994140625,
0.027862548828125,
0.03863525390625,
0.00325775146484375,
-0.0007519721984863281,
-0.014739990234375,
-0.02001953125,
-0.004413604736328125,
-0.0399169921875,
-0.03753662109375,
0.06494140625,
0.0413818359375,
0.061614990234375,
-0.0123748779296875,
0.06390380859375,
-0.023895263671875,
-0.003856658935546875,
-0.058502197265625,
0.052001953125,
-0.01554107666015625,
-0.05584716796875,
-0.0266876220703125,
-0.055816650390625,
-0.0660400390625,
0.0157012939453125,
0.014373779296875,
-0.06292724609375,
-0.0184326171875,
-0.00827789306640625,
-0.0148162841796875,
0.023773193359375,
-0.0531005859375,
0.07586669921875,
-0.0230712890625,
-0.0128936767578125,
0.013885498046875,
-0.039215087890625,
0.034423828125,
-0.0006480216979980469,
0.0069427490234375,
-0.01172637939453125,
-0.0185546875,
0.0772705078125,
-0.031829833984375,
0.0643310546875,
-0.0201416015625,
-0.0048065185546875,
0.00958251953125,
-0.021331787109375,
0.03204345703125,
0.0175628662109375,
-0.005474090576171875,
0.022430419921875,
0.01488494873046875,
-0.03668212890625,
-0.0249176025390625,
0.06329345703125,
-0.082763671875,
-0.035308837890625,
-0.041839599609375,
-0.0277099609375,
-0.0007519721984863281,
0.041748046875,
0.0703125,
0.027740478515625,
0.00820159912109375,
0.0274200439453125,
0.045257568359375,
-0.0257415771484375,
0.06317138671875,
0.028076171875,
-0.0151519775390625,
-0.052764892578125,
0.07122802734375,
0.008056640625,
0.016754150390625,
0.032867431640625,
0.02032470703125,
-0.03173828125,
-0.0172576904296875,
-0.0479736328125,
0.024169921875,
-0.046844482421875,
-0.0196380615234375,
-0.0316162109375,
-0.049041748046875,
-0.03509521484375,
-0.010955810546875,
-0.0257415771484375,
-0.0236968994140625,
-0.0509033203125,
0.0016613006591796875,
0.02532958984375,
0.01177978515625,
0.0223388671875,
0.038116455078125,
-0.0643310546875,
0.03753662109375,
-0.003437042236328125,
0.035400390625,
-0.00815582275390625,
-0.055938720703125,
-0.035858154296875,
0.0222015380859375,
-0.0236663818359375,
-0.060546875,
0.041748046875,
-0.00902557373046875,
0.0340576171875,
0.032012939453125,
0.0138702392578125,
0.054656982421875,
-0.016754150390625,
0.07269287109375,
0.01555633544921875,
-0.0921630859375,
0.03668212890625,
-0.0259552001953125,
0.0460205078125,
0.023223876953125,
0.033447265625,
-0.041168212890625,
-0.040679931640625,
-0.050018310546875,
-0.0843505859375,
0.07537841796875,
0.00936126708984375,
0.017059326171875,
-0.0015478134155273438,
0.01485443115234375,
-0.00388336181640625,
0.00981903076171875,
-0.08795166015625,
-0.0369873046875,
-0.02716064453125,
-0.04840087890625,
-0.00264739990234375,
-0.012298583984375,
0.0232696533203125,
-0.016845703125,
0.0762939453125,
-0.00759124755859375,
0.0386962890625,
0.00687408447265625,
-0.01136016845703125,
-0.01268768310546875,
0.01259613037109375,
0.039215087890625,
0.03021240234375,
-0.015594482421875,
0.0025959014892578125,
0.0194854736328125,
-0.044769287109375,
0.01568603515625,
0.01922607421875,
-0.0295867919921875,
0.011688232421875,
0.0249176025390625,
0.08599853515625,
0.0250091552734375,
-0.0251312255859375,
0.03076171875,
-0.007755279541015625,
-0.026214599609375,
-0.04376220703125,
0.01043701171875,
-0.0035381317138671875,
-0.005229949951171875,
0.026763916015625,
-0.0255584716796875,
-0.003139495849609375,
-0.020660400390625,
-0.0003333091735839844,
0.0240936279296875,
-0.0161895751953125,
-0.0084228515625,
0.06268310546875,
0.01065826416015625,
-0.005626678466796875,
0.045379638671875,
-0.01373291015625,
-0.041290283203125,
0.05157470703125,
0.05548095703125,
0.062255859375,
-0.00740814208984375,
0.005374908447265625,
0.050994873046875,
0.0220184326171875,
-0.0024776458740234375,
0.01934814453125,
0.006046295166015625,
-0.047698974609375,
-0.02734375,
-0.0595703125,
-0.0108184814453125,
0.02569580078125,
-0.04217529296875,
0.035736083984375,
-0.0516357421875,
-0.008087158203125,
-0.0195770263671875,
0.03271484375,
-0.02874755859375,
0.0302276611328125,
0.002040863037109375,
0.0501708984375,
-0.063720703125,
0.06939697265625,
0.0462646484375,
-0.059600830078125,
-0.0775146484375,
0.0023250579833984375,
-0.034698486328125,
-0.0777587890625,
0.042327880859375,
0.01424407958984375,
0.0136260986328125,
0.02978515625,
-0.036956787109375,
-0.0772705078125,
0.083251953125,
0.0136566162109375,
-0.027801513671875,
-0.0037212371826171875,
0.0157470703125,
0.036163330078125,
0.0044403076171875,
0.03948974609375,
0.025482177734375,
0.042144775390625,
0.0004801750183105469,
-0.0489501953125,
0.02545166015625,
-0.0129547119140625,
0.01568603515625,
0.0283355712890625,
-0.061431884765625,
0.07574462890625,
0.006763458251953125,
-0.01398468017578125,
0.032470703125,
0.0640869140625,
0.035369873046875,
0.01100921630859375,
0.01087188720703125,
0.035400390625,
0.03265380859375,
-0.017486572265625,
0.046356201171875,
-0.029449462890625,
0.041595458984375,
0.051361083984375,
0.0018587112426757812,
0.060546875,
0.038360595703125,
-0.0203704833984375,
0.05047607421875,
0.0455322265625,
-0.025909423828125,
0.0226898193359375,
0.012420654296875,
-0.006866455078125,
0.006298065185546875,
0.03338623046875,
-0.0244903564453125,
0.0285797119140625,
0.0249786376953125,
-0.0316162109375,
0.004901885986328125,
-0.0023288726806640625,
0.0230560302734375,
-0.0207672119140625,
-0.0167236328125,
0.043792724609375,
0.005680084228515625,
-0.048980712890625,
0.06097412109375,
0.034332275390625,
0.0699462890625,
-0.056732177734375,
0.01511383056640625,
-0.01422119140625,
0.0158538818359375,
-0.01029205322265625,
-0.05010986328125,
0.01263427734375,
0.01490020751953125,
-0.00940704345703125,
-0.00658416748046875,
0.034393310546875,
-0.03631591796875,
-0.056884765625,
-0.0048065185546875,
-0.0035381317138671875,
0.0284881591796875,
0.018768310546875,
-0.05816650390625,
0.01531219482421875,
0.014892578125,
-0.0404052734375,
0.0110321044921875,
0.0269317626953125,
0.0102691650390625,
0.031982421875,
0.0404052734375,
0.01125335693359375,
0.00827789306640625,
0.004673004150390625,
0.0322265625,
-0.06097412109375,
-0.037445068359375,
-0.076904296875,
0.0489501953125,
-0.0016298294067382812,
-0.040557861328125,
0.06689453125,
0.048980712890625,
0.066650390625,
-0.006771087646484375,
0.05615234375,
-0.0137786865234375,
0.0145416259765625,
-0.06622314453125,
0.06060791015625,
-0.0299530029296875,
0.0050506591796875,
-0.016754150390625,
-0.07574462890625,
-0.01788330078125,
0.05889892578125,
-0.01003265380859375,
0.037933349609375,
0.06927490234375,
0.050994873046875,
0.00981903076171875,
-0.0164031982421875,
0.0247650146484375,
0.039581298828125,
0.0220794677734375,
0.057373046875,
0.04376220703125,
-0.0736083984375,
0.036468505859375,
-0.03863525390625,
-0.00751495361328125,
-0.008575439453125,
-0.060394287109375,
-0.06512451171875,
-0.045501708984375,
-0.029754638671875,
-0.02154541015625,
-0.0257415771484375,
0.0753173828125,
0.047576904296875,
-0.05126953125,
-0.0276947021484375,
-0.0266876220703125,
-0.005710601806640625,
0.01305389404296875,
-0.026519775390625,
0.0258941650390625,
-0.03955078125,
-0.06707763671875,
0.01203155517578125,
-0.00716400146484375,
0.01074981689453125,
-0.029327392578125,
-0.0110931396484375,
-0.002971649169921875,
0.00437164306640625,
0.0157470703125,
0.00902557373046875,
-0.0672607421875,
-0.005096435546875,
-0.003086090087890625,
-0.0269317626953125,
-0.00843048095703125,
0.0233306884765625,
-0.034393310546875,
0.012237548828125,
0.037841796875,
0.02105712890625,
0.048187255859375,
-0.0240936279296875,
0.03851318359375,
-0.06878662109375,
0.023590087890625,
0.004558563232421875,
0.041412353515625,
0.01335906982421875,
-0.03485107421875,
0.010101318359375,
0.031219482421875,
-0.042266845703125,
-0.04803466796875,
-0.0008363723754882812,
-0.06573486328125,
-0.032257080078125,
0.0863037109375,
-0.01459503173828125,
-0.03131103515625,
0.0279541015625,
-0.027435302734375,
0.052276611328125,
-0.01398468017578125,
0.0352783203125,
0.0511474609375,
0.011505126953125,
-0.0239105224609375,
-0.016693115234375,
0.01568603515625,
0.02392578125,
-0.053955078125,
-0.006656646728515625,
0.0186309814453125,
0.02545166015625,
-0.00036644935607910156,
0.042755126953125,
-0.00582122802734375,
0.010955810546875,
0.01259613037109375,
0.021759033203125,
-0.00605010986328125,
0.01145172119140625,
-0.0318603515625,
-0.0103759765625,
0.01043701171875,
-0.0293121337890625
]
] |
Mkmworld/original-classification | 2023-09-26T06:30:49.000Z | [
"keras",
"region:us"
] | null | Mkmworld | null | null | Mkmworld/original-classification | 0 | 2 | keras | 2023-09-26T06:28:51 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | None |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 9.999999747378752e-05 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> | 840 | [
[
-0.03863525390625,
-0.039642333984375,
0.03143310546875,
0.00766754150390625,
-0.04412841796875,
-0.0185089111328125,
0.0099334716796875,
-0.00453948974609375,
0.0194091796875,
0.0297088623046875,
-0.044189453125,
-0.05157470703125,
-0.03955078125,
0.000972747802734375,
-0.005828857421875,
0.06549072265625,
-0.00772857666015625,
0.0439453125,
0.0031986236572265625,
-0.0069427490234375,
-0.01424407958984375,
-0.032196044921875,
-0.05340576171875,
-0.0296478271484375,
0.040283203125,
0.01947021484375,
0.0511474609375,
0.055084228515625,
0.043731689453125,
0.02001953125,
-0.018768310546875,
-0.024871826171875,
-0.0283355712890625,
-0.01213836669921875,
-0.007022857666015625,
-0.0301666259765625,
-0.05230712890625,
-0.00650787353515625,
0.0469970703125,
0.032318115234375,
-0.01128387451171875,
0.04400634765625,
-0.00560760498046875,
0.042877197265625,
-0.0765380859375,
0.025299072265625,
-0.0239410400390625,
0.0360107421875,
-0.0174713134765625,
-0.0186614990234375,
-0.016204833984375,
-0.0193023681640625,
-0.0023975372314453125,
-0.055450439453125,
-0.0014677047729492188,
-0.00020897388458251953,
0.081787109375,
0.0125579833984375,
-0.032470703125,
0.010223388671875,
-0.054656982421875,
0.06329345703125,
-0.0625,
0.040496826171875,
0.034820556640625,
0.045623779296875,
0.0189361572265625,
-0.060943603515625,
-0.0291290283203125,
0.0033626556396484375,
0.0221405029296875,
0.0142364501953125,
-0.0162506103515625,
0.004962921142578125,
0.0416259765625,
0.006771087646484375,
-0.039337158203125,
0.00803375244140625,
-0.0297088623046875,
-0.019744873046875,
0.052825927734375,
0.0416259765625,
-0.01113128662109375,
-0.0007390975952148438,
-0.043731689453125,
-0.04559326171875,
-0.0240325927734375,
0.01629638671875,
0.039215087890625,
0.0116424560546875,
-0.0211639404296875,
0.048828125,
-0.0274810791015625,
0.050445556640625,
-0.0032863616943359375,
-0.029388427734375,
0.058685302734375,
-0.01104736328125,
-0.034637451171875,
-0.0088348388671875,
0.0595703125,
0.032562255859375,
-0.0074615478515625,
0.0279388427734375,
-0.0240325927734375,
-0.0247039794921875,
0.024993896484375,
-0.07183837890625,
-0.016937255859375,
0.0008816719055175781,
-0.042633056640625,
-0.031524658203125,
0.0035572052001953125,
-0.0672607421875,
0.004627227783203125,
-0.0225372314453125,
0.042999267578125,
-0.027557373046875,
-0.01451873779296875,
0.0026378631591796875,
-0.031768798828125,
0.032867431640625,
0.0132598876953125,
-0.053680419921875,
0.0276641845703125,
0.01409149169921875,
0.035888671875,
0.0019083023071289062,
-0.027099609375,
-0.0110321044921875,
0.0252227783203125,
-0.0212860107421875,
0.03680419921875,
-0.0154876708984375,
-0.0347900390625,
-0.00823211669921875,
0.012969970703125,
-0.01386260986328125,
-0.0228271484375,
0.0654296875,
-0.0304412841796875,
0.00455474853515625,
-0.020782470703125,
-0.04217529296875,
-0.037506103515625,
0.03521728515625,
-0.04168701171875,
0.08197021484375,
0.0257415771484375,
-0.06658935546875,
0.05975341796875,
-0.041168212890625,
-0.00859832763671875,
-0.0025272369384765625,
-0.020111083984375,
-0.0692138671875,
-0.0071563720703125,
0.0195465087890625,
0.04534912109375,
-0.0023708343505859375,
-0.0157623291015625,
-0.033111572265625,
-0.021270751953125,
-0.0077056884765625,
-0.045166015625,
0.0511474609375,
0.01165771484375,
-0.015716552734375,
0.01123046875,
-0.08941650390625,
0.00887298583984375,
0.038421630859375,
-0.04345703125,
0.004947662353515625,
-0.0254058837890625,
0.0308837890625,
0.00601959228515625,
0.0249786376953125,
-0.048004150390625,
-0.0059967041015625,
-0.02459716796875,
0.003612518310546875,
0.042694091796875,
0.0283660888671875,
-0.025787353515625,
-0.02508544921875,
0.039764404296875,
0.0118560791015625,
0.033599853515625,
0.03155517578125,
-0.041839599609375,
-0.04656982421875,
-0.00482940673828125,
0.0172882080078125,
0.03228759765625,
-0.0213470458984375,
0.051605224609375,
0.004268646240234375,
-0.06219482421875,
-0.0001938343048095703,
0.01239776611328125,
0.032012939453125,
0.049102783203125,
0.0283355712890625,
-0.0224761962890625,
-0.0372314453125,
-0.07940673828125,
0.0093231201171875,
-0.00289154052734375,
0.00015091896057128906,
0.0134735107421875,
0.0631103515625,
0.0157012939453125,
0.05364990234375,
-0.052764892578125,
-0.0083160400390625,
-0.01152801513671875,
0.0079345703125,
0.02313232421875,
0.04119873046875,
0.06195068359375,
-0.041015625,
-0.023468017578125,
-0.032379150390625,
-0.044708251953125,
0.03399658203125,
-0.00278472900390625,
-0.020660400390625,
-0.007175445556640625,
0.0258636474609375,
-0.025970458984375,
0.0677490234375,
0.03338623046875,
-0.0080718994140625,
0.06201171875,
-0.0279541015625,
0.01409912109375,
-0.08111572265625,
0.0096588134765625,
0.0171966552734375,
-0.00649261474609375,
-0.0014867782592773438,
-0.0004527568817138672,
0.00542449951171875,
-0.013580322265625,
-0.0653076171875,
0.0266571044921875,
-0.0187530517578125,
-0.012359619140625,
-0.008544921875,
-0.0242156982421875,
0.00948333740234375,
0.049957275390625,
0.01105499267578125,
0.05694580078125,
0.0362548828125,
-0.050811767578125,
0.0199127197265625,
0.048614501953125,
-0.0239715576171875,
0.03875732421875,
-0.0677490234375,
0.00920867919921875,
0.02447509765625,
0.01053619384765625,
-0.049591064453125,
-0.022705078125,
0.0175018310546875,
-0.0439453125,
0.01528167724609375,
-0.02252197265625,
-0.033172607421875,
-0.0243988037109375,
-0.040985107421875,
0.0207672119140625,
0.035675048828125,
-0.0238494873046875,
0.03192138671875,
0.00032329559326171875,
0.0225067138671875,
-0.032958984375,
-0.0545654296875,
-0.0226287841796875,
-0.01201629638671875,
-0.03271484375,
0.003692626953125,
0.00782012939453125,
0.0081024169921875,
-0.0028324127197265625,
0.004390716552734375,
-0.0245513916015625,
-0.0018148422241210938,
0.0253753662109375,
0.015167236328125,
-0.0115966796875,
-0.0110321044921875,
0.0203704833984375,
-0.01654052734375,
0.01617431640625,
0.0188140869140625,
0.049774169921875,
0.004627227783203125,
-0.045806884765625,
-0.07135009765625,
-0.003070831298828125,
0.029541015625,
-0.0188140869140625,
0.0804443359375,
0.06622314453125,
-0.040985107421875,
0.01334381103515625,
-0.02593994140625,
-0.020843505859375,
-0.027679443359375,
0.048187255859375,
-0.027099609375,
-0.013641357421875,
0.044189453125,
-0.007625579833984375,
0.0006327629089355469,
0.06512451171875,
0.04736328125,
-0.0038166046142578125,
0.10113525390625,
0.02532958984375,
0.0015430450439453125,
0.022308349609375,
-0.047882080078125,
-0.0285186767578125,
-0.080810546875,
-0.033233642578125,
-0.041259765625,
-0.0179901123046875,
-0.02020263671875,
-0.00409698486328125,
0.043975830078125,
0.01329803466796875,
-0.061492919921875,
0.022186279296875,
-0.02105712890625,
0.0214080810546875,
0.058807373046875,
0.03594970703125,
-0.006092071533203125,
-0.0050506591796875,
-0.03094482421875,
-0.01055908203125,
-0.045928955078125,
-0.0367431640625,
0.10528564453125,
0.046875,
0.04998779296875,
-0.026519775390625,
0.041839599609375,
-0.00815582275390625,
-0.0091705322265625,
-0.049591064453125,
0.03173828125,
0.0093231201171875,
-0.06689453125,
-0.0302734375,
-0.00957489013671875,
-0.0654296875,
0.00827789306640625,
-0.03399658203125,
-0.0386962890625,
0.0042877197265625,
0.0189056396484375,
-0.030517578125,
0.0474853515625,
-0.027557373046875,
0.082763671875,
-0.026519775390625,
-0.01261138916015625,
-0.0152740478515625,
-0.040191650390625,
0.005512237548828125,
0.00832366943359375,
-0.01181793212890625,
-0.004901885986328125,
-0.010986328125,
0.07562255859375,
-0.03753662109375,
0.05511474609375,
-0.033416748046875,
0.028656005859375,
0.01324462890625,
-0.0159912109375,
0.04248046875,
0.01522064208984375,
-0.0029811859130859375,
0.02069091796875,
0.002605438232421875,
-0.039642333984375,
-0.0226287841796875,
0.02008056640625,
-0.07794189453125,
-0.006656646728515625,
-0.04412841796875,
-0.0362548828125,
-0.0197601318359375,
0.01947021484375,
0.0234832763671875,
0.028594970703125,
-0.0074615478515625,
0.0265960693359375,
0.03729248046875,
-0.021728515625,
0.01995849609375,
0.0250396728515625,
-0.0021114349365234375,
-0.06427001953125,
0.051422119140625,
-0.0012407302856445312,
0.024658203125,
-0.007343292236328125,
0.0024547576904296875,
-0.02081298828125,
-0.058624267578125,
-0.03875732421875,
0.01267242431640625,
-0.048370361328125,
-0.0183868408203125,
-0.0250396728515625,
-0.02685546875,
-0.0269622802734375,
-0.0011348724365234375,
-0.04888916015625,
-0.02227783203125,
-0.0408935546875,
-0.01154327392578125,
0.03009033203125,
0.04425048828125,
0.00145721435546875,
0.05169677734375,
-0.063720703125,
-0.00601959228515625,
0.0236358642578125,
0.0270843505859375,
-0.0122222900390625,
-0.051513671875,
-0.038055419921875,
-0.0010023117065429688,
-0.0494384765625,
-0.06781005859375,
0.044097900390625,
0.0104827880859375,
0.05194091796875,
0.0341796875,
-0.023956298828125,
0.047210693359375,
-0.01416778564453125,
0.07208251953125,
0.022369384765625,
-0.04461669921875,
0.0592041015625,
-0.029998779296875,
0.028594970703125,
0.056732177734375,
0.0634765625,
0.01389312744140625,
-0.010009765625,
-0.056671142578125,
-0.06781005859375,
0.04266357421875,
0.0254058837890625,
-0.006381988525390625,
0.0262908935546875,
0.0272979736328125,
-0.0024700164794921875,
0.0165557861328125,
-0.050750732421875,
-0.02569580078125,
-0.0134124755859375,
-0.006839752197265625,
0.01081085205078125,
-0.01401519775390625,
-0.030181884765625,
-0.053375244140625,
0.079833984375,
-0.005466461181640625,
0.0089874267578125,
0.01202392578125,
0.0027008056640625,
-0.020416259765625,
-0.003376007080078125,
0.029937744140625,
0.0745849609375,
-0.06195068359375,
-0.0212860107421875,
0.0279388427734375,
-0.046142578125,
0.00013458728790283203,
0.005138397216796875,
-0.0207366943359375,
-0.0079345703125,
0.029998779296875,
0.07586669921875,
0.0211639404296875,
-0.0242462158203125,
0.033599853515625,
-0.007328033447265625,
-0.04400634765625,
-0.03741455078125,
0.011444091796875,
0.0049285888671875,
0.019683837890625,
0.01702880859375,
0.00970458984375,
0.0162811279296875,
-0.00896453857421875,
0.012908935546875,
0.016815185546875,
-0.0447998046875,
-0.0209197998046875,
0.06243896484375,
0.0034332275390625,
-0.00748443603515625,
0.050506591796875,
-0.0207366943359375,
-0.0167236328125,
0.053924560546875,
0.0333251953125,
0.06292724609375,
-0.00762176513671875,
0.0032711029052734375,
0.04730224609375,
0.01190185546875,
0.00876617431640625,
0.0462646484375,
0.0266265869140625,
-0.048004150390625,
-0.0159759521484375,
-0.05072021484375,
-0.04205322265625,
0.0340576171875,
-0.09136962890625,
0.03759765625,
-0.056915283203125,
-0.030670166015625,
0.0217437744140625,
0.010894775390625,
-0.06390380859375,
0.0435791015625,
0.016265869140625,
0.0809326171875,
-0.08074951171875,
0.051361083984375,
0.06964111328125,
-0.07098388671875,
-0.075439453125,
-0.0189666748046875,
0.0031261444091796875,
-0.06494140625,
0.0413818359375,
-0.00968170166015625,
0.024658203125,
0.0035114288330078125,
-0.04962158203125,
-0.0526123046875,
0.0986328125,
0.0309906005859375,
-0.037689208984375,
0.0197906494140625,
0.0035343170166015625,
0.0260467529296875,
-0.00926971435546875,
0.05084228515625,
0.0204010009765625,
0.0283050537109375,
0.0189056396484375,
-0.071044921875,
-0.0122222900390625,
-0.0065460205078125,
0.00782012939453125,
0.00487518310546875,
-0.06524658203125,
0.0638427734375,
0.0093536376953125,
0.02789306640625,
-0.01271820068359375,
0.05499267578125,
0.042816162109375,
0.029693603515625,
0.0494384765625,
0.07940673828125,
0.0181121826171875,
0.016265869140625,
0.06097412109375,
-0.038421630859375,
0.047210693359375,
0.0887451171875,
-0.00568389892578125,
0.06146240234375,
0.0239715576171875,
-0.0399169921875,
0.03265380859375,
0.0596923828125,
-0.02001953125,
0.02362060546875,
0.0033931732177734375,
0.003429412841796875,
-0.01477813720703125,
0.00763702392578125,
-0.048187255859375,
0.025848388671875,
0.0160675048828125,
-0.033905029296875,
-0.0264739990234375,
-0.0015115737915039062,
0.004955291748046875,
-0.0226898193359375,
-0.02105712890625,
0.038818359375,
-0.0251617431640625,
0.00292205810546875,
0.038543701171875,
-0.00612640380859375,
0.0298309326171875,
-0.05499267578125,
-0.0087738037109375,
0.0031871795654296875,
0.0170440673828125,
-0.006069183349609375,
-0.058135986328125,
0.012451171875,
-0.0087127685546875,
-0.01074981689453125,
0.0035419464111328125,
0.030731201171875,
0.0048980712890625,
-0.05926513671875,
0.0137786865234375,
0.01806640625,
0.0238037109375,
-0.012451171875,
-0.08447265625,
0.005970001220703125,
-0.005321502685546875,
-0.059417724609375,
0.020965576171875,
0.0164947509765625,
0.018096923828125,
0.05218505859375,
0.0302276611328125,
0.0170745849609375,
0.01322174072265625,
0.0204315185546875,
0.0794677734375,
-0.04400634765625,
-0.02587890625,
-0.032135009765625,
0.03729248046875,
-0.014892578125,
-0.0728759765625,
0.0648193359375,
0.07806396484375,
0.0679931640625,
-0.006195068359375,
0.045013427734375,
0.00977325439453125,
0.048675537109375,
-0.052154541015625,
0.043792724609375,
-0.040740966796875,
-0.0284881591796875,
-0.025177001953125,
-0.07757568359375,
0.0024204254150390625,
0.03997802734375,
-0.003520965576171875,
0.012298583984375,
0.0445556640625,
0.045623779296875,
-0.00977325439453125,
-0.0017786026000976562,
0.020233154296875,
0.0022296905517578125,
0.008148193359375,
0.028900146484375,
0.0188751220703125,
-0.056182861328125,
0.038482666015625,
-0.052581787109375,
-0.0130462646484375,
-0.00797271728515625,
-0.045989990234375,
-0.06341552734375,
-0.0167999267578125,
-0.047210693359375,
-0.0207977294921875,
-0.0115814208984375,
0.0732421875,
0.07122802734375,
-0.0718994140625,
-0.02490234375,
0.00923919677734375,
-0.029937744140625,
-0.0196380615234375,
-0.01287078857421875,
0.037811279296875,
-0.002628326416015625,
-0.04046630859375,
0.01593017578125,
0.0024929046630859375,
0.029815673828125,
-0.035125732421875,
-0.01345062255859375,
-0.034881591796875,
-0.0038280487060546875,
0.0042266845703125,
0.0161285400390625,
-0.0192718505859375,
-0.0247802734375,
-0.0240631103515625,
0.01277923583984375,
0.020843505859375,
0.017852783203125,
-0.0302886962890625,
0.0296173095703125,
0.037017822265625,
0.0219268798828125,
0.058013916015625,
0.0045928955078125,
0.0238037109375,
-0.057769775390625,
0.0355224609375,
0.027313232421875,
0.03662109375,
-0.007720947265625,
-0.0236358642578125,
0.036865234375,
0.028594970703125,
-0.04522705078125,
-0.0638427734375,
-0.00695037841796875,
-0.07501220703125,
0.0088653564453125,
0.057281494140625,
-0.01068878173828125,
-0.040435791015625,
0.0189056396484375,
-0.006744384765625,
0.03082275390625,
-0.025604248046875,
0.00970458984375,
0.039947509765625,
-0.0200347900390625,
-0.0034198760986328125,
-0.06829833984375,
0.0255126953125,
0.0194091796875,
-0.068115234375,
-0.049957275390625,
0.021697998046875,
0.041107177734375,
0.0014848709106445312,
0.01332855224609375,
-0.0205230712890625,
0.0135650634765625,
0.033172607421875,
0.034454345703125,
-0.0243377685546875,
-0.007415771484375,
-0.0258636474609375,
0.0101776123046875,
0.009796142578125,
-0.05499267578125
]
] |
Aharneish/gpt-2-spiritual-qa-test | 2023-09-27T15:50:31.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Aharneish | null | null | Aharneish/gpt-2-spiritual-qa-test | 0 | 2 | transformers | 2023-09-26T07:02:25 | ---
license: mit
base_model: Aharneish/gpt-2-spiritual-qa-test
tags:
- generated_from_trainer
model-index:
- name: gpt-2-spiritual-qa-test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-2-spiritual-qa-test
This model is a fine-tuned version of [Aharneish/gpt-2-spiritual-qa-test](https://huggingface.co/Aharneish/gpt-2-spiritual-qa-test) on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 1.85
- eval_loss: 1.7821
- eval_runtime: 52.5742
- eval_samples_per_second: 15.958
- eval_steps_per_second: 1.997
- step: 3500
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,281 | [
[
-0.0297088623046875,
-0.06451416015625,
0.0134124755859375,
0.01221466064453125,
-0.039306640625,
-0.0301513671875,
-0.0032901763916015625,
-0.035186767578125,
0.003421783447265625,
0.0154876708984375,
-0.050445556640625,
-0.0240478515625,
-0.045166015625,
-0.010955810546875,
-0.017333984375,
0.095703125,
-0.0019817352294921875,
0.03167724609375,
0.01165008544921875,
0.003406524658203125,
-0.035430908203125,
-0.03680419921875,
-0.08538818359375,
-0.037567138671875,
0.015838623046875,
-0.0092315673828125,
0.06585693359375,
0.056671142578125,
0.048980712890625,
0.01306915283203125,
-0.01861572265625,
-0.00736236572265625,
-0.0374755859375,
-0.023773193359375,
-0.01422882080078125,
-0.0296478271484375,
-0.0660400390625,
0.0194244384765625,
0.054351806640625,
0.000762939453125,
-0.0205535888671875,
0.049560546875,
0.00786590576171875,
0.02239990234375,
-0.0258026123046875,
0.030975341796875,
-0.05059814453125,
0.0238800048828125,
-0.0102996826171875,
-0.022857666015625,
-0.007305145263671875,
-0.0184173583984375,
0.00643157958984375,
-0.045501708984375,
0.03564453125,
-0.0003871917724609375,
0.08660888671875,
0.028411865234375,
-0.0291748046875,
0.00350189208984375,
-0.05615234375,
0.03570556640625,
-0.048309326171875,
0.0230255126953125,
0.03802490234375,
0.043701171875,
0.01505279541015625,
-0.061859130859375,
-0.048248291015625,
-0.006740570068359375,
0.00974273681640625,
0.0157928466796875,
0.00424957275390625,
0.0031337738037109375,
0.0572509765625,
0.03802490234375,
-0.052978515625,
-0.00737762451171875,
-0.037445068359375,
-0.01392364501953125,
0.04095458984375,
0.0340576171875,
-0.00026226043701171875,
-0.01776123046875,
-0.0291748046875,
-0.022552490234375,
-0.0281219482421875,
0.00466156005859375,
0.03656005859375,
0.006237030029296875,
-0.01306915283203125,
0.053497314453125,
-0.01239013671875,
0.044036865234375,
0.009002685546875,
-0.0096435546875,
0.02459716796875,
-0.021484375,
-0.031890869140625,
-0.0250091552734375,
0.05755615234375,
0.03778076171875,
0.028778076171875,
0.01178741455078125,
-0.027740478515625,
0.00984954833984375,
0.0265960693359375,
-0.08367919921875,
-0.041107177734375,
-0.006622314453125,
-0.04510498046875,
-0.041900634765625,
0.0002168416976928711,
-0.043609619140625,
0.01317596435546875,
-0.0310821533203125,
0.0509033203125,
-0.029571533203125,
-0.0225982666015625,
0.00377655029296875,
-0.0112762451171875,
0.03082275390625,
0.009429931640625,
-0.0570068359375,
0.031951904296875,
0.039093017578125,
0.037353515625,
0.0216064453125,
-0.0272979736328125,
-0.01168060302734375,
-0.012725830078125,
-0.0207366943359375,
0.039459228515625,
-0.01702880859375,
-0.0293731689453125,
-0.0246429443359375,
0.0140838623046875,
-0.006561279296875,
-0.02435302734375,
0.06304931640625,
-0.041412353515625,
0.03143310546875,
-0.03619384765625,
-0.04541015625,
-0.01543426513671875,
0.0258331298828125,
-0.0294189453125,
0.09002685546875,
0.0298919677734375,
-0.0460205078125,
0.048309326171875,
-0.055145263671875,
0.0014429092407226562,
0.015655517578125,
-0.01520538330078125,
-0.046600341796875,
-0.0013256072998046875,
-0.012115478515625,
0.00695037841796875,
-0.0255279541015625,
0.0208740234375,
-0.025665283203125,
-0.048553466796875,
-0.002227783203125,
-0.05645751953125,
0.04425048828125,
0.0183563232421875,
-0.04241943359375,
-0.00484466552734375,
-0.076171875,
0.04632568359375,
0.0296630859375,
-0.021575927734375,
0.0029735565185546875,
-0.016265869140625,
0.031768798828125,
0.0350341796875,
0.0139007568359375,
-0.035186767578125,
0.024017333984375,
-0.0265350341796875,
0.00879669189453125,
0.052215576171875,
0.015899658203125,
-0.00992584228515625,
-0.017547607421875,
0.025726318359375,
-0.01061248779296875,
0.044342041015625,
0.033203125,
-0.053955078125,
-0.053070068359375,
-0.0012331008911132812,
0.0181732177734375,
0.03497314453125,
-0.027618408203125,
0.05133056640625,
0.0012559890747070312,
-0.051727294921875,
-0.0296630859375,
-0.0002779960632324219,
0.049530029296875,
0.0426025390625,
0.034820556640625,
-0.034912109375,
-0.0191192626953125,
-0.07666015625,
-0.0216522216796875,
-0.0235748291015625,
0.0014133453369140625,
0.0108795166015625,
0.057586669921875,
-0.0191497802734375,
0.050201416015625,
-0.0494384765625,
-0.005657196044921875,
0.01183319091796875,
0.00977325439453125,
0.01904296875,
0.05877685546875,
0.0479736328125,
-0.042510986328125,
-0.0235443115234375,
-0.0225830078125,
-0.05572509765625,
0.01027679443359375,
-0.004116058349609375,
-0.02801513671875,
-0.0257720947265625,
-0.00830841064453125,
-0.0517578125,
0.056793212890625,
0.0096282958984375,
-0.04803466796875,
0.061279296875,
-0.022369384765625,
0.0132598876953125,
-0.08209228515625,
0.0106658935546875,
0.010894775390625,
-0.0014829635620117188,
-0.0204620361328125,
0.018524169921875,
0.0174713134765625,
-0.01320648193359375,
-0.02264404296875,
0.054473876953125,
-0.01099395751953125,
0.0080718994140625,
-0.041229248046875,
-0.032073974609375,
0.0009899139404296875,
0.050750732421875,
0.0022449493408203125,
0.059906005859375,
0.03997802734375,
-0.040008544921875,
0.03253173828125,
0.05047607421875,
-0.0010709762573242188,
0.043792724609375,
-0.076904296875,
0.0218658447265625,
0.00811004638671875,
-0.002346038818359375,
-0.047393798828125,
-0.020050048828125,
0.043731689453125,
-0.032928466796875,
0.0184478759765625,
-0.0222625732421875,
-0.042938232421875,
-0.039703369140625,
0.00669097900390625,
0.043853759765625,
0.0615234375,
-0.03924560546875,
0.025970458984375,
-0.0042724609375,
0.022918701171875,
-0.0258026123046875,
-0.04693603515625,
-0.01523590087890625,
-0.00982666015625,
-0.0302581787109375,
0.007293701171875,
-0.01125335693359375,
0.007099151611328125,
0.0015716552734375,
-0.01082611083984375,
-0.01922607421875,
-0.002017974853515625,
0.0234527587890625,
0.0244140625,
-0.00911712646484375,
0.005413055419921875,
0.0025577545166015625,
-0.0193023681640625,
0.037353515625,
-0.0220794677734375,
0.03533935546875,
-0.0207977294921875,
-0.042755126953125,
-0.06439208984375,
-0.0056304931640625,
0.024749755859375,
-0.023529052734375,
0.047943115234375,
0.07220458984375,
-0.049468994140625,
0.005756378173828125,
-0.035400390625,
-0.0164794921875,
-0.033599853515625,
0.0487060546875,
-0.03985595703125,
-0.01354217529296875,
0.04083251953125,
0.0179595947265625,
-0.00592803955078125,
0.0733642578125,
0.039031982421875,
0.0243988037109375,
0.09112548828125,
0.01103973388671875,
0.00856781005859375,
0.0208587646484375,
-0.0496826171875,
0.00634002685546875,
-0.0596923828125,
-0.019134521484375,
-0.02130126953125,
-0.0171966552734375,
-0.053955078125,
-0.00780487060546875,
0.0226287841796875,
0.0191192626953125,
-0.048431396484375,
0.018951416015625,
-0.043731689453125,
0.037322998046875,
0.043487548828125,
0.03424072265625,
-0.00188446044921875,
0.00499725341796875,
-0.0002149343490600586,
-0.009674072265625,
-0.035247802734375,
-0.03704833984375,
0.1041259765625,
0.036407470703125,
0.037994384765625,
-0.005023956298828125,
0.033660888671875,
-0.0079345703125,
0.0166473388671875,
-0.050201416015625,
0.03228759765625,
0.00830078125,
-0.06915283203125,
-0.01556396484375,
-0.0304718017578125,
-0.037353515625,
0.017822265625,
-0.016204833984375,
-0.03607177734375,
-0.001270294189453125,
0.0165863037109375,
-0.0278472900390625,
0.02740478515625,
-0.04339599609375,
0.07958984375,
-0.0249786376953125,
-0.034271240234375,
-0.0185546875,
-0.033966064453125,
0.0212554931640625,
-0.00675201416015625,
-0.0325927734375,
0.00302886962890625,
0.023712158203125,
0.0701904296875,
-0.040008544921875,
0.03753662109375,
-0.03765869140625,
0.01751708984375,
0.03265380859375,
-0.005130767822265625,
0.05670166015625,
0.034027099609375,
0.00165557861328125,
-0.003314971923828125,
0.00791168212890625,
-0.05450439453125,
-0.047149658203125,
0.041748046875,
-0.074462890625,
-0.01568603515625,
-0.047088623046875,
-0.0276641845703125,
-0.01345062255859375,
0.01386260986328125,
0.0360107421875,
0.05682373046875,
-0.0117340087890625,
-0.01226043701171875,
0.042327880859375,
0.0086822509765625,
0.01082611083984375,
0.031646728515625,
-0.004161834716796875,
-0.039794921875,
0.05560302734375,
-0.00666046142578125,
0.0202789306640625,
-0.0235137939453125,
0.01236724853515625,
-0.040283203125,
-0.0440673828125,
-0.03460693359375,
0.0223541259765625,
-0.04766845703125,
-0.0046844482421875,
-0.0282745361328125,
-0.03643798828125,
-0.02008056640625,
0.0299530029296875,
-0.043731689453125,
-0.0142059326171875,
-0.0301055908203125,
-0.0152740478515625,
0.027618408203125,
0.04730224609375,
0.0009341239929199219,
0.043975830078125,
-0.0472412109375,
0.0152130126953125,
0.0296478271484375,
0.0391845703125,
0.006267547607421875,
-0.06768798828125,
-0.021636962890625,
0.014617919921875,
-0.039031982421875,
-0.052978515625,
0.0250091552734375,
0.01090240478515625,
0.033172607421875,
0.046051025390625,
-0.0291290283203125,
0.07769775390625,
-0.0277252197265625,
0.061737060546875,
0.01439666748046875,
-0.041748046875,
0.034332275390625,
-0.02838134765625,
0.01348114013671875,
0.0484619140625,
0.0262451171875,
-0.01070404052734375,
-0.0027713775634765625,
-0.08154296875,
-0.045074462890625,
0.039093017578125,
0.03173828125,
0.01454925537109375,
-0.0026760101318359375,
0.06280517578125,
0.00157928466796875,
0.014495849609375,
-0.060516357421875,
-0.037322998046875,
-0.02178955078125,
0.003997802734375,
-0.00127410888671875,
-0.0290374755859375,
-0.0177154541015625,
-0.05450439453125,
0.07861328125,
-0.0018529891967773438,
0.033111572265625,
0.01320648193359375,
0.0211334228515625,
-0.021514892578125,
0.0002551078796386719,
0.03369140625,
0.06365966796875,
-0.047271728515625,
-0.01397705078125,
0.015838623046875,
-0.05029296875,
0.00836944580078125,
0.0277557373046875,
-0.00868988037109375,
0.0026035308837890625,
0.01395416259765625,
0.07830810546875,
-0.004100799560546875,
0.0002772808074951172,
0.028778076171875,
-0.017547607421875,
-0.0258636474609375,
-0.041839599609375,
0.0177764892578125,
-0.0275726318359375,
0.01543426513671875,
0.0133209228515625,
0.033172607421875,
0.0139312744140625,
-0.015411376953125,
0.0220184326171875,
0.0218048095703125,
-0.03143310546875,
-0.040740966796875,
0.075927734375,
-0.0025768280029296875,
-0.029571533203125,
0.058685302734375,
-0.048583984375,
-0.0340576171875,
0.048980712890625,
0.041046142578125,
0.07830810546875,
-0.01274871826171875,
0.0058746337890625,
0.051055908203125,
0.012725830078125,
-0.0271453857421875,
0.053070068359375,
0.009613037109375,
-0.032745361328125,
-0.0180206298828125,
-0.054595947265625,
-0.006313323974609375,
0.032196044921875,
-0.08489990234375,
0.01406097412109375,
-0.0263519287109375,
-0.041046142578125,
-0.004444122314453125,
0.02239990234375,
-0.08111572265625,
0.049560546875,
-0.00962066650390625,
0.077392578125,
-0.069580078125,
0.06396484375,
0.035675048828125,
-0.0313720703125,
-0.08380126953125,
-0.0002505779266357422,
-0.01050567626953125,
-0.0703125,
0.05352783203125,
-0.01219940185546875,
0.026702880859375,
0.0159912109375,
-0.034881591796875,
-0.059417724609375,
0.0780029296875,
0.00653839111328125,
-0.041839599609375,
-0.00859832763671875,
0.01253509521484375,
0.06842041015625,
-0.003719329833984375,
0.058685302734375,
0.0240020751953125,
0.0307159423828125,
0.00830078125,
-0.072998046875,
0.002643585205078125,
-0.038848876953125,
0.0155181884765625,
0.0166473388671875,
-0.05523681640625,
0.0701904296875,
0.0047607421875,
0.01474761962890625,
0.020538330078125,
0.03802490234375,
0.021026611328125,
0.0217437744140625,
0.025970458984375,
0.0670166015625,
0.04351806640625,
-0.00689697265625,
0.0845947265625,
-0.03948974609375,
0.060943603515625,
0.0821533203125,
-0.00396728515625,
0.04144287109375,
0.0236968994140625,
-0.0269012451171875,
0.002590179443359375,
0.0733642578125,
-0.038482666015625,
0.03875732421875,
0.0221710205078125,
-0.0087738037109375,
-0.0237884521484375,
0.017608642578125,
-0.0638427734375,
0.025970458984375,
-0.006977081298828125,
-0.047332763671875,
-0.0165252685546875,
-0.026214599609375,
-0.0102386474609375,
-0.026702880859375,
-0.0202789306640625,
0.02838134765625,
-0.01293182373046875,
-0.031463623046875,
0.0596923828125,
0.00514984130859375,
0.022247314453125,
-0.05194091796875,
-0.014312744140625,
0.00621795654296875,
0.02178955078125,
-0.006801605224609375,
-0.0369873046875,
0.01248931884765625,
-0.0076904296875,
-0.010040283203125,
0.004138946533203125,
0.04052734375,
-0.0206298828125,
-0.0567626953125,
0.011871337890625,
0.04644775390625,
0.021881103515625,
-0.0202178955078125,
-0.08111572265625,
-0.030609130859375,
-0.010589599609375,
-0.038604736328125,
0.021514892578125,
0.020477294921875,
0.0036716461181640625,
0.0335693359375,
0.047393798828125,
0.01198577880859375,
0.0012292861938476562,
0.0128021240234375,
0.06365966796875,
-0.050506591796875,
-0.041107177734375,
-0.05877685546875,
0.0244598388671875,
-0.006870269775390625,
-0.07867431640625,
0.049102783203125,
0.07208251953125,
0.06219482421875,
-0.01427459716796875,
0.0406494140625,
0.006622314453125,
0.0210113525390625,
-0.037322998046875,
0.054290771484375,
-0.0269622802734375,
-0.0018892288208007812,
-0.0152435302734375,
-0.078857421875,
0.0194549560546875,
0.045440673828125,
-0.014801025390625,
0.0263824462890625,
0.05645751953125,
0.0537109375,
-0.015716552734375,
0.0211334228515625,
0.0082550048828125,
0.0004417896270751953,
0.018768310546875,
0.03466796875,
0.045440673828125,
-0.0767822265625,
0.0157318115234375,
-0.03900146484375,
-0.0188446044921875,
0.020416259765625,
-0.034942626953125,
-0.072998046875,
-0.01983642578125,
-0.036956787109375,
-0.050079345703125,
0.01245880126953125,
0.07806396484375,
0.056671142578125,
-0.051300048828125,
-0.01097869873046875,
-0.007282257080078125,
-0.041748046875,
-0.026641845703125,
-0.0195465087890625,
0.039764404296875,
-0.006038665771484375,
-0.04681396484375,
-0.0035247802734375,
-0.0259246826171875,
0.03302001953125,
-0.009307861328125,
-0.0129852294921875,
0.0031452178955078125,
-0.0235748291015625,
0.01409912109375,
-0.002635955810546875,
-0.037994384765625,
-0.03582763671875,
-0.003021240234375,
-0.0016193389892578125,
0.002834320068359375,
0.0247802734375,
-0.033966064453125,
0.029388427734375,
0.01317596435546875,
0.0236358642578125,
0.04833984375,
0.0140380859375,
0.0267486572265625,
-0.03399658203125,
0.01367950439453125,
0.021575927734375,
0.01885986328125,
-0.01270294189453125,
-0.039825439453125,
0.04534912109375,
0.04217529296875,
-0.052520751953125,
-0.0513916015625,
-0.006740570068359375,
-0.06732177734375,
0.018890380859375,
0.0931396484375,
0.0050506591796875,
-0.02685546875,
0.0252227783203125,
-0.0183563232421875,
0.03704833984375,
-0.01306915283203125,
0.06072998046875,
0.048553466796875,
-0.005229949951171875,
0.0171966552734375,
-0.05615234375,
0.04681396484375,
0.0252532958984375,
-0.0517578125,
-0.02178955078125,
0.0197601318359375,
0.045806884765625,
-0.010589599609375,
0.0364990234375,
-0.01198577880859375,
0.03533935546875,
0.01125335693359375,
0.0209808349609375,
-0.03167724609375,
-0.007259368896484375,
-0.026519775390625,
-0.0005440711975097656,
0.00885772705078125,
-0.0299530029296875
]
] |
Mkmworld/all-classification | 2023-09-26T10:07:00.000Z | [
"keras",
"region:us"
] | null | Mkmworld | null | null | Mkmworld/all-classification | 0 | 2 | keras | 2023-09-26T10:05:19 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| learning_rate | 9.999999747378752e-05 |
| decay | 1e-05 |
| beta_1 | 0.8999999761581421 |
| beta_2 | 0.9990000128746033 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> | 660 | [
[
-0.035186767578125,
-0.0384521484375,
0.02716064453125,
0.007144927978515625,
-0.04205322265625,
-0.01910400390625,
0.01027679443359375,
-0.006328582763671875,
0.0170440673828125,
0.028778076171875,
-0.034393310546875,
-0.05694580078125,
-0.042694091796875,
-0.004817962646484375,
-0.01166534423828125,
0.062103271484375,
0.0015430450439453125,
0.053009033203125,
0.006378173828125,
-0.00601959228515625,
-0.0088958740234375,
-0.0355224609375,
-0.060943603515625,
-0.0308990478515625,
0.054229736328125,
0.0295257568359375,
0.04925537109375,
0.0574951171875,
0.04998779296875,
0.0227203369140625,
-0.0157318115234375,
-0.03033447265625,
-0.034088134765625,
-0.0097808837890625,
-0.005252838134765625,
-0.035675048828125,
-0.054229736328125,
-0.00005429983139038086,
0.045654296875,
0.03582763671875,
-0.0098419189453125,
0.049285888671875,
-0.0104827880859375,
0.044525146484375,
-0.06390380859375,
0.03033447265625,
-0.016845703125,
0.033172607421875,
-0.015533447265625,
-0.005397796630859375,
-0.023223876953125,
-0.0215911865234375,
0.0011129379272460938,
-0.05328369140625,
0.00804901123046875,
0.004913330078125,
0.07977294921875,
0.00823211669921875,
-0.0310516357421875,
0.00954437255859375,
-0.051361083984375,
0.06866455078125,
-0.05999755859375,
0.033050537109375,
0.044464111328125,
0.051727294921875,
0.0233917236328125,
-0.07147216796875,
-0.029571533203125,
-0.007160186767578125,
0.019439697265625,
0.004199981689453125,
-0.0171966552734375,
-0.00505828857421875,
0.039154052734375,
0.00847625732421875,
-0.0357666015625,
0.011444091796875,
-0.031890869140625,
-0.0194244384765625,
0.0592041015625,
0.039794921875,
-0.00942230224609375,
-0.0005383491516113281,
-0.042510986328125,
-0.055328369140625,
-0.0191802978515625,
0.01348876953125,
0.0416259765625,
0.020172119140625,
-0.02130126953125,
0.049713134765625,
-0.0278472900390625,
0.05023193359375,
-0.003192901611328125,
-0.02862548828125,
0.05950927734375,
-0.002338409423828125,
-0.042510986328125,
-0.01399993896484375,
0.05584716796875,
0.02899169921875,
-0.005931854248046875,
0.0278778076171875,
-0.0253753662109375,
-0.016632080078125,
0.030426025390625,
-0.06756591796875,
-0.02130126953125,
-0.0011434555053710938,
-0.042266845703125,
-0.036651611328125,
0.005191802978515625,
-0.061676025390625,
0.0004863739013671875,
-0.020904541015625,
0.04107666015625,
-0.0311126708984375,
-0.024566650390625,
-0.001068115234375,
-0.035003662109375,
0.0278472900390625,
0.0149993896484375,
-0.055877685546875,
0.0262298583984375,
0.00742340087890625,
0.032501220703125,
0.003017425537109375,
-0.0262298583984375,
-0.005451202392578125,
0.0204925537109375,
-0.024566650390625,
0.04248046875,
-0.0146942138671875,
-0.0390625,
-0.017578125,
0.0121307373046875,
-0.005359649658203125,
-0.0185394287109375,
0.06353759765625,
-0.0283050537109375,
0.0066375732421875,
-0.0234527587890625,
-0.04644775390625,
-0.042327880859375,
0.0293121337890625,
-0.052398681640625,
0.0833740234375,
0.033599853515625,
-0.06402587890625,
0.0625,
-0.052276611328125,
-0.00324249267578125,
0.006591796875,
-0.01496124267578125,
-0.061981201171875,
-0.0040435791015625,
0.0106964111328125,
0.05133056640625,
-0.006641387939453125,
-0.0191650390625,
-0.033447265625,
-0.021087646484375,
-0.00664520263671875,
-0.048187255859375,
0.051300048828125,
0.0165252685546875,
-0.01214599609375,
0.01953125,
-0.084228515625,
0.011962890625,
0.037506103515625,
-0.036865234375,
0.0049896240234375,
-0.0218505859375,
0.03515625,
-0.002593994140625,
0.0193634033203125,
-0.03863525390625,
-0.0025844573974609375,
-0.0252685546875,
0.002918243408203125,
0.045440673828125,
0.02239990234375,
-0.017547607421875,
-0.0226593017578125,
0.036895751953125,
0.01265716552734375,
0.0291748046875,
0.030731201171875,
-0.039215087890625,
-0.0516357421875,
-0.00652313232421875,
0.025787353515625,
0.030731201171875,
-0.015838623046875,
0.040740966796875,
0.01091766357421875,
-0.0689697265625,
-0.00809478759765625,
0.00746917724609375,
0.0310211181640625,
0.05645751953125,
0.0265655517578125,
-0.01166534423828125,
-0.029998779296875,
-0.0816650390625,
0.01776123046875,
-0.01126861572265625,
0.0006136894226074219,
0.00653076171875,
0.059783935546875,
0.0131072998046875,
0.049224853515625,
-0.049896240234375,
-0.0020618438720703125,
-0.00885772705078125,
0.014495849609375,
0.025299072265625,
0.039093017578125,
0.0645751953125,
-0.050048828125,
-0.0278472900390625,
-0.031097412109375,
-0.04541015625,
0.0313720703125,
0.01044464111328125,
-0.0171051025390625,
0.00330352783203125,
0.03216552734375,
-0.023590087890625,
0.06756591796875,
0.0311737060546875,
-0.016143798828125,
0.05963134765625,
-0.02789306640625,
0.0181427001953125,
-0.0767822265625,
0.00958251953125,
0.0227508544921875,
-0.017913818359375,
-0.0099029541015625,
0.003826141357421875,
0.0123443603515625,
-0.01102447509765625,
-0.06536865234375,
0.0335693359375,
-0.0186920166015625,
-0.00868988037109375,
-0.0120697021484375,
-0.0267181396484375,
0.0027065277099609375,
0.045135498046875,
0.01175689697265625,
0.060546875,
0.0426025390625,
-0.047271728515625,
0.03509521484375,
0.048858642578125,
-0.027374267578125,
0.038604736328125,
-0.06390380859375,
0.00901031494140625,
0.0260162353515625,
0.00720977783203125,
-0.056610107421875,
-0.024383544921875,
0.0198516845703125,
-0.042572021484375,
0.01409912109375,
-0.0204620361328125,
-0.039398193359375,
-0.024505615234375,
-0.042327880859375,
0.0141143798828125,
0.033660888671875,
-0.01763916015625,
0.023956298828125,
-0.0011548995971679688,
0.015869140625,
-0.03631591796875,
-0.053863525390625,
-0.0197906494140625,
-0.016448974609375,
-0.035003662109375,
-0.00018167495727539062,
0.00547027587890625,
-0.0005593299865722656,
-0.0012493133544921875,
0.0120391845703125,
-0.0242919921875,
-0.007694244384765625,
0.0303802490234375,
0.016571044921875,
-0.010406494140625,
-0.0003833770751953125,
0.0078887939453125,
-0.026336669921875,
0.0138092041015625,
0.015899658203125,
0.049896240234375,
0.00179290771484375,
-0.043487548828125,
-0.06365966796875,
0.0046539306640625,
0.0280609130859375,
-0.01033782958984375,
0.080322265625,
0.0634765625,
-0.04583740234375,
0.01377105712890625,
-0.0211334228515625,
-0.0211944580078125,
-0.0276031494140625,
0.04791259765625,
-0.03131103515625,
-0.0114593505859375,
0.047271728515625,
-0.006378173828125,
-0.00525665283203125,
0.06890869140625,
0.048431396484375,
-0.0096588134765625,
0.10308837890625,
0.037078857421875,
-0.0018320083618164062,
0.020904541015625,
-0.04632568359375,
-0.023345947265625,
-0.06805419921875,
-0.0361328125,
-0.0350341796875,
-0.0226593017578125,
-0.0214691162109375,
0.0006222724914550781,
0.04180908203125,
0.0233001708984375,
-0.06268310546875,
0.0206756591796875,
-0.01873779296875,
0.02191162109375,
0.0654296875,
0.04052734375,
-0.00868988037109375,
-0.00304412841796875,
-0.027618408203125,
-0.007556915283203125,
-0.0416259765625,
-0.0389404296875,
0.10321044921875,
0.049224853515625,
0.050506591796875,
-0.0240631103515625,
0.0297393798828125,
0.004680633544921875,
-0.0017004013061523438,
-0.043853759765625,
0.032501220703125,
0.00927734375,
-0.06829833984375,
-0.041107177734375,
-0.00847625732421875,
-0.06756591796875,
0.0035343170166015625,
-0.03643798828125,
-0.037139892578125,
0.00009238719940185547,
0.021453857421875,
-0.0293426513671875,
0.037078857421875,
-0.04638671875,
0.0882568359375,
-0.025726318359375,
-0.003330230712890625,
-0.0168609619140625,
-0.043365478515625,
-0.0071258544921875,
0.00742340087890625,
-0.0173797607421875,
-0.0084686279296875,
-0.0046234130859375,
0.06536865234375,
-0.02899169921875,
0.053680419921875,
-0.036407470703125,
0.035308837890625,
0.010345458984375,
-0.0193939208984375,
0.039031982421875,
0.0160369873046875,
-0.00859832763671875,
0.0260162353515625,
-0.00433349609375,
-0.051727294921875,
-0.0195159912109375,
0.0226287841796875,
-0.07666015625,
-0.004474639892578125,
-0.045135498046875,
-0.04150390625,
-0.0133514404296875,
0.019683837890625,
0.0282135009765625,
0.0272674560546875,
-0.00914764404296875,
0.017822265625,
0.03533935546875,
-0.0224761962890625,
0.019775390625,
0.0233306884765625,
-0.01226806640625,
-0.059844970703125,
0.051971435546875,
-0.0009589195251464844,
0.0321044921875,
-0.015045166015625,
-0.0007500648498535156,
-0.0282135009765625,
-0.054412841796875,
-0.0389404296875,
0.01268768310546875,
-0.050079345703125,
-0.026214599609375,
-0.0193939208984375,
-0.03472900390625,
-0.0301055908203125,
-0.0028057098388671875,
-0.037567138671875,
-0.0291748046875,
-0.04693603515625,
-0.0235137939453125,
0.042266845703125,
0.041351318359375,
-0.004123687744140625,
0.05712890625,
-0.05487060546875,
-0.004573822021484375,
0.0272369384765625,
0.029541015625,
-0.017059326171875,
-0.04876708984375,
-0.03765869140625,
0.0015659332275390625,
-0.039825439453125,
-0.0706787109375,
0.044464111328125,
0.0079193115234375,
0.049713134765625,
0.0313720703125,
-0.0299224853515625,
0.0433349609375,
-0.00606536865234375,
0.06817626953125,
0.0179290771484375,
-0.04217529296875,
0.05975341796875,
-0.025543212890625,
0.020111083984375,
0.05291748046875,
0.062408447265625,
0.00994873046875,
-0.0147857666015625,
-0.06207275390625,
-0.06793212890625,
0.048828125,
0.0255889892578125,
-0.0064849853515625,
0.0311126708984375,
0.035400390625,
-0.002506256103515625,
0.018646240234375,
-0.053802490234375,
-0.03240966796875,
-0.01061248779296875,
-0.00881195068359375,
-0.00485992431640625,
-0.0131683349609375,
-0.026702880859375,
-0.06256103515625,
0.07318115234375,
0.0015926361083984375,
0.016815185546875,
0.00959014892578125,
0.0005955696105957031,
-0.01898193359375,
-0.01300811767578125,
0.0288848876953125,
0.072021484375,
-0.06414794921875,
-0.01337432861328125,
0.0260162353515625,
-0.0445556640625,
0.0020046234130859375,
0.0089263916015625,
-0.01131439208984375,
-0.01131439208984375,
0.0306396484375,
0.0777587890625,
0.006793975830078125,
-0.022705078125,
0.024200439453125,
-0.00695037841796875,
-0.03668212890625,
-0.04046630859375,
0.0227813720703125,
0.00856781005859375,
0.0185089111328125,
0.016387939453125,
0.00809478759765625,
0.015899658203125,
-0.01018524169921875,
0.0172882080078125,
0.01424407958984375,
-0.046875,
-0.01165771484375,
0.0589599609375,
-0.0005621910095214844,
-0.0171356201171875,
0.0601806640625,
-0.025604248046875,
-0.01369476318359375,
0.0540771484375,
0.034332275390625,
0.0543212890625,
-0.0176849365234375,
0.0098876953125,
0.043853759765625,
0.00794219970703125,
0.0074310302734375,
0.049346923828125,
0.03271484375,
-0.048583984375,
-0.01496124267578125,
-0.051300048828125,
-0.04388427734375,
0.037078857421875,
-0.0797119140625,
0.039520263671875,
-0.052032470703125,
-0.0312042236328125,
0.03955078125,
0.0158843994140625,
-0.057159423828125,
0.0498046875,
0.0218963623046875,
0.08465576171875,
-0.0849609375,
0.05487060546875,
0.06982421875,
-0.0665283203125,
-0.07305908203125,
-0.030303955078125,
0.003803253173828125,
-0.06683349609375,
0.04022216796875,
-0.01220703125,
0.0206146240234375,
0.01364898681640625,
-0.06146240234375,
-0.042236328125,
0.09552001953125,
0.03216552734375,
-0.035888671875,
0.0297393798828125,
0.006938934326171875,
0.032196044921875,
-0.01763916015625,
0.049896240234375,
0.0193634033203125,
0.033416748046875,
0.01434326171875,
-0.06732177734375,
-0.0217437744140625,
-0.0148468017578125,
0.0026760101318359375,
0.01097869873046875,
-0.053009033203125,
0.066650390625,
0.0109710693359375,
0.027679443359375,
-0.016571044921875,
0.05145263671875,
0.038543701171875,
0.033660888671875,
0.048553466796875,
0.0767822265625,
0.0256500244140625,
0.0126495361328125,
0.06585693359375,
-0.02874755859375,
0.0516357421875,
0.08056640625,
-0.004314422607421875,
0.058441162109375,
0.01325225830078125,
-0.036407470703125,
0.031890869140625,
0.06689453125,
-0.0190887451171875,
0.0222320556640625,
0.00007992982864379883,
-0.0009250640869140625,
-0.011566162109375,
0.0204315185546875,
-0.038543701171875,
0.01531982421875,
0.0236663818359375,
-0.03350830078125,
-0.0251312255859375,
-0.00016891956329345703,
0.005680084228515625,
-0.0187225341796875,
-0.0240325927734375,
0.036468505859375,
-0.026580810546875,
0.00850677490234375,
0.030609130859375,
0.0016355514526367188,
0.01523590087890625,
-0.053955078125,
-0.0166015625,
0.00368499755859375,
0.0137939453125,
-0.0020389556884765625,
-0.06329345703125,
0.00868988037109375,
-0.0006656646728515625,
-0.016143798828125,
0.0023860931396484375,
0.036834716796875,
0.003063201904296875,
-0.06805419921875,
0.01285552978515625,
0.0201263427734375,
0.020782470703125,
-0.0164031982421875,
-0.08941650390625,
0.0020503997802734375,
-0.0035419464111328125,
-0.053802490234375,
0.0141754150390625,
0.0212554931640625,
0.0119781494140625,
0.05560302734375,
0.034393310546875,
0.01189422607421875,
0.00739288330078125,
0.0182952880859375,
0.0765380859375,
-0.05059814453125,
-0.0222625732421875,
-0.038116455078125,
0.043243408203125,
-0.0205841064453125,
-0.07196044921875,
0.062744140625,
0.076171875,
0.06329345703125,
-0.0037059783935546875,
0.0465087890625,
0.006809234619140625,
0.058441162109375,
-0.044464111328125,
0.040283203125,
-0.032073974609375,
-0.0296783447265625,
-0.0163421630859375,
-0.079833984375,
-0.00563812255859375,
0.044586181640625,
-0.00004488229751586914,
0.01123809814453125,
0.04168701171875,
0.044464111328125,
-0.014495849609375,
-0.0014734268188476562,
0.0233917236328125,
0.0108642578125,
0.0021038055419921875,
0.0211639404296875,
0.021881103515625,
-0.0516357421875,
0.0259552001953125,
-0.04901123046875,
-0.020172119140625,
-0.00946044921875,
-0.045928955078125,
-0.058746337890625,
-0.0239410400390625,
-0.040863037109375,
-0.0246429443359375,
-0.01458740234375,
0.06903076171875,
0.07550048828125,
-0.07122802734375,
-0.02447509765625,
0.005474090576171875,
-0.0306396484375,
-0.016571044921875,
-0.00958251953125,
0.040557861328125,
-0.0052490234375,
-0.0421142578125,
0.0052642822265625,
0.004306793212890625,
0.0309600830078125,
-0.036712646484375,
-0.01666259765625,
-0.03228759765625,
-0.0026340484619140625,
0.0024242401123046875,
0.01140594482421875,
-0.0160064697265625,
-0.0272369384765625,
-0.021881103515625,
0.003570556640625,
0.02081298828125,
0.01558685302734375,
-0.03173828125,
0.0296478271484375,
0.0333251953125,
0.00841522216796875,
0.064697265625,
0.0111541748046875,
0.02020263671875,
-0.056884765625,
0.03955078125,
0.0236358642578125,
0.023651123046875,
-0.003864288330078125,
-0.022491455078125,
0.041229248046875,
0.0259857177734375,
-0.0496826171875,
-0.059295654296875,
-0.0007658004760742188,
-0.07623291015625,
0.008331298828125,
0.0543212890625,
-0.0094451904296875,
-0.037109375,
0.0225677490234375,
-0.01403045654296875,
0.0261993408203125,
-0.0252685546875,
0.0166015625,
0.04620361328125,
-0.0275421142578125,
-0.0017910003662109375,
-0.06475830078125,
0.0254669189453125,
0.01165771484375,
-0.0625,
-0.045654296875,
0.0225372314453125,
0.0390625,
0.0022335052490234375,
0.016632080078125,
-0.01506805419921875,
0.005290985107421875,
0.039459228515625,
0.033477783203125,
-0.01461029052734375,
-0.01538848876953125,
-0.02947998046875,
0.0029468536376953125,
0.01467132568359375,
-0.0538330078125
]
] |
eugene6/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-26T12:41:24.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | eugene6 | null | null | eugene6/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-26T12:40:45 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 542.50 +/- 194.39
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga eugene6 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga eugene6 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga eugene6
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,756 | [
[
-0.04290771484375,
-0.0391845703125,
0.01971435546875,
0.02532958984375,
-0.01044464111328125,
-0.0169219970703125,
0.0106048583984375,
-0.012725830078125,
0.012603759765625,
0.022216796875,
-0.0728759765625,
-0.034637451171875,
-0.025238037109375,
-0.004116058349609375,
-0.000293731689453125,
0.0732421875,
-0.00347900390625,
0.010101318359375,
-0.016204833984375,
-0.01470947265625,
-0.0253448486328125,
-0.0201873779296875,
-0.0517578125,
-0.032379150390625,
0.0106048583984375,
0.01103973388671875,
0.061187744140625,
0.07171630859375,
0.040008544921875,
0.0272216796875,
-0.01068115234375,
-0.0035495758056640625,
-0.0308837890625,
-0.004665374755859375,
0.0028438568115234375,
-0.0169830322265625,
-0.02801513671875,
-0.01100921630859375,
0.0517578125,
0.0062103271484375,
-0.01702880859375,
0.019683837890625,
-0.0191497802734375,
0.031158447265625,
-0.03839111328125,
0.03521728515625,
-0.00849151611328125,
0.033447265625,
0.00463104248046875,
-0.00962066650390625,
0.003307342529296875,
-0.005138397216796875,
-0.001697540283203125,
-0.086181640625,
0.01357269287109375,
0.0036182403564453125,
0.10107421875,
0.039337158203125,
-0.0208740234375,
0.00930023193359375,
-0.045623779296875,
0.051239013671875,
-0.06903076171875,
0.03656005859375,
0.01934814453125,
0.0316162109375,
-0.0153045654296875,
-0.066650390625,
-0.033935546875,
-0.018341064453125,
0.00506591796875,
0.024169921875,
-0.00794219970703125,
-0.002803802490234375,
0.0533447265625,
0.002696990966796875,
-0.045654296875,
0.00855255126953125,
-0.037841796875,
-0.0158233642578125,
0.03271484375,
0.0408935546875,
0.0092926025390625,
-0.012725830078125,
-0.03631591796875,
-0.043853759765625,
-0.0271453857421875,
0.03411865234375,
0.01360321044921875,
0.01255035400390625,
-0.029296875,
0.043182373046875,
-0.035736083984375,
0.036285400390625,
0.0092926025390625,
-0.01515960693359375,
0.0252685546875,
-0.020751953125,
-0.017547607421875,
-0.02978515625,
0.06512451171875,
0.04864501953125,
-0.012908935546875,
0.0189666748046875,
-0.02581787109375,
-0.0190887451171875,
0.0091094970703125,
-0.06414794921875,
-0.0247650146484375,
0.042388916015625,
-0.0247344970703125,
-0.004161834716796875,
-0.004268646240234375,
-0.05633544921875,
-0.0084075927734375,
-0.00807952880859375,
0.0333251953125,
-0.045989990234375,
-0.01300048828125,
0.00011730194091796875,
-0.0287017822265625,
0.042724609375,
0.02203369140625,
-0.058990478515625,
0.0286712646484375,
0.034332275390625,
0.05828857421875,
0.00728607177734375,
-0.049072265625,
-0.0287322998046875,
0.0145111083984375,
-0.0287322998046875,
0.05059814453125,
0.0019931793212890625,
-0.02423095703125,
0.0009937286376953125,
0.0128021240234375,
-0.0032863616943359375,
-0.034149169921875,
0.024444580078125,
-0.0487060546875,
0.00890350341796875,
-0.0078582763671875,
-0.035552978515625,
-0.0254974365234375,
0.03814697265625,
-0.05615234375,
0.08819580078125,
0.0125274658203125,
-0.057464599609375,
0.034912109375,
-0.053070068359375,
-0.00342559814453125,
0.0188446044921875,
-0.0030269622802734375,
-0.059112548828125,
-0.032928466796875,
0.01284027099609375,
0.0386962890625,
0.01763916015625,
0.00966644287109375,
-0.034912109375,
-0.0248260498046875,
0.01141357421875,
0.0025634765625,
0.06903076171875,
0.010345458984375,
-0.0303955078125,
0.0186614990234375,
-0.060546875,
0.01520538330078125,
0.01715087890625,
-0.041015625,
0.007480621337890625,
-0.0025424957275390625,
0.016510009765625,
0.0263671875,
0.0257720947265625,
-0.02716064453125,
0.0099639892578125,
-0.02587890625,
0.0338134765625,
0.0379638671875,
0.019073486328125,
0.0156707763671875,
-0.0226898193359375,
0.039154052734375,
0.01309967041015625,
0.0234832763671875,
0.016326904296875,
-0.02447509765625,
-0.040008544921875,
-0.0212249755859375,
-0.005001068115234375,
0.0316162109375,
-0.056915283203125,
0.037628173828125,
-0.01021575927734375,
-0.040313720703125,
-0.017120361328125,
-0.00955963134765625,
0.0308380126953125,
0.015289306640625,
0.0379638671875,
0.01009368896484375,
-0.045501708984375,
-0.06390380859375,
0.00907135009765625,
-0.01251220703125,
0.011566162109375,
0.0364990234375,
0.078125,
-0.0287322998046875,
0.056427001953125,
-0.036956787109375,
-0.0169219970703125,
-0.006343841552734375,
-0.01959228515625,
0.02239990234375,
0.05657958984375,
0.048828125,
-0.042388916015625,
-0.0268707275390625,
-0.00482177734375,
-0.07415771484375,
0.03826904296875,
0.0009074211120605469,
-0.00844573974609375,
0.0038967132568359375,
0.03363037109375,
-0.06988525390625,
0.032318115234375,
0.0178985595703125,
-0.0238494873046875,
0.050567626953125,
-0.0294952392578125,
0.0083160400390625,
-0.0662841796875,
0.013916015625,
0.0074310302734375,
-0.01342010498046875,
-0.02386474609375,
0.0377197265625,
0.00557708740234375,
-0.02081298828125,
-0.0635986328125,
0.0528564453125,
-0.02734375,
-0.008575439453125,
-0.0000908970832824707,
-0.0035953521728515625,
-0.0026302337646484375,
0.05133056640625,
0.01416015625,
0.045745849609375,
0.0628662109375,
-0.061370849609375,
0.04754638671875,
0.0297393798828125,
-0.0106048583984375,
0.00809478759765625,
-0.049346923828125,
-0.00891876220703125,
-0.002254486083984375,
0.034393310546875,
-0.056365966796875,
-0.03814697265625,
0.0435791015625,
-0.03662109375,
0.00777435302734375,
-0.0207977294921875,
-0.016937255859375,
-0.037139892578125,
-0.021636962890625,
0.025238037109375,
0.029754638671875,
-0.041961669921875,
0.0268096923828125,
0.0213623046875,
0.0171966552734375,
-0.060455322265625,
-0.034027099609375,
-0.0088043212890625,
-0.0308990478515625,
-0.041107177734375,
0.0190582275390625,
-0.009490966796875,
-0.01230621337890625,
0.0163421630859375,
-0.005733489990234375,
-0.00766754150390625,
0.01064300537109375,
0.0176544189453125,
0.023773193359375,
-0.02801513671875,
-0.0347900390625,
-0.022430419921875,
-0.00740814208984375,
0.0287628173828125,
-0.0230712890625,
0.026092529296875,
-0.0221710205078125,
-0.006687164306640625,
-0.04486083984375,
-0.006622314453125,
0.043975830078125,
0.0024776458740234375,
0.0625,
0.05670166015625,
-0.042633056640625,
-0.0226898193359375,
-0.01140594482421875,
-0.0170745849609375,
-0.033721923828125,
0.042999267578125,
-0.025238037109375,
-0.04010009765625,
0.057373046875,
0.008026123046875,
0.017364501953125,
0.0452880859375,
0.0236053466796875,
-0.01413726806640625,
0.086181640625,
0.039520263671875,
0.006351470947265625,
0.038421630859375,
-0.06793212890625,
-0.0271148681640625,
-0.0631103515625,
-0.033843994140625,
-0.036529541015625,
0.00217437744140625,
-0.031036376953125,
-0.03515625,
0.030609130859375,
0.0082855224609375,
-0.050994873046875,
0.03204345703125,
-0.0213623046875,
0.037139892578125,
0.0277252197265625,
0.009674072265625,
-0.018402099609375,
0.004459381103515625,
-0.026123046875,
-0.00873565673828125,
-0.064208984375,
-0.0213775634765625,
0.0655517578125,
0.03985595703125,
0.060394287109375,
0.00981903076171875,
0.045745849609375,
0.013946533203125,
-0.004302978515625,
-0.04644775390625,
0.039154052734375,
0.01207733154296875,
-0.05718994140625,
-0.03680419921875,
-0.0244293212890625,
-0.05963134765625,
0.03497314453125,
-0.0219268798828125,
-0.053497314453125,
0.01149749755859375,
0.01049041748046875,
-0.046539306640625,
0.017303466796875,
-0.019073486328125,
0.07794189453125,
-0.011566162109375,
-0.046661376953125,
-0.005889892578125,
-0.054962158203125,
0.048919677734375,
0.01556396484375,
0.00865936279296875,
0.004901885986328125,
-0.0087432861328125,
0.06927490234375,
-0.05084228515625,
0.043060302734375,
-0.042938232421875,
0.023101806640625,
0.0322265625,
0.0045623779296875,
0.035064697265625,
0.037322998046875,
0.0076141357421875,
0.00785064697265625,
0.01374053955078125,
-0.03570556640625,
-0.032012939453125,
0.053497314453125,
-0.1043701171875,
-0.03509521484375,
-0.049713134765625,
-0.0277862548828125,
-0.00232696533203125,
0.019622802734375,
0.0209808349609375,
0.02734375,
-0.0180511474609375,
0.02520751953125,
0.055938720703125,
-0.0211334228515625,
0.034515380859375,
0.044525146484375,
-0.0177154541015625,
-0.0491943359375,
0.057708740234375,
-0.00872039794921875,
-0.0011682510375976562,
0.0145111083984375,
0.00008535385131835938,
-0.0458984375,
-0.033935546875,
-0.053619384765625,
0.01371002197265625,
-0.057373046875,
-0.021270751953125,
-0.05181884765625,
-0.045867919921875,
-0.036041259765625,
-0.0004031658172607422,
-0.036224365234375,
-0.0207977294921875,
-0.030364990234375,
-0.006679534912109375,
0.0296783447265625,
0.042938232421875,
-0.033721923828125,
0.03045654296875,
-0.055267333984375,
0.027130126953125,
0.0210418701171875,
0.0095062255859375,
-0.004474639892578125,
-0.051239013671875,
-0.04278564453125,
0.006351470947265625,
-0.036590576171875,
-0.04425048828125,
0.052978515625,
0.0003104209899902344,
0.06256103515625,
0.03424072265625,
-0.02056884765625,
0.066162109375,
-0.01959228515625,
0.07122802734375,
0.004241943359375,
-0.04998779296875,
0.036773681640625,
-0.0418701171875,
0.0171356201171875,
0.02496337890625,
0.038543701171875,
-0.0252838134765625,
-0.00887298583984375,
-0.061676025390625,
-0.06060791015625,
0.08477783203125,
0.017303466796875,
-0.01456451416015625,
0.0163116455078125,
0.0328369140625,
-0.021636962890625,
-0.00377655029296875,
-0.08367919921875,
-0.027618408203125,
-0.04058837890625,
0.023681640625,
-0.018829345703125,
0.02349853515625,
-0.02288818359375,
-0.0249176025390625,
0.0784912109375,
-0.013031005859375,
0.0238800048828125,
0.02178955078125,
-0.00244903564453125,
-0.0289459228515625,
-0.0181121826171875,
0.049896240234375,
0.032379150390625,
-0.047607421875,
-0.02423095703125,
0.012664794921875,
-0.0280303955078125,
0.0212860107421875,
0.0176544189453125,
-0.00940704345703125,
-0.009063720703125,
0.03143310546875,
0.06903076171875,
0.0224609375,
-0.0287628173828125,
0.04254150390625,
-0.020965576171875,
-0.0360107421875,
-0.03643798828125,
0.017852783203125,
0.007633209228515625,
0.03057861328125,
0.011199951171875,
0.024444580078125,
-0.00013267993927001953,
-0.021759033203125,
0.009552001953125,
0.03045654296875,
-0.034698486328125,
-0.0165252685546875,
0.0728759765625,
-0.002368927001953125,
-0.0178985595703125,
0.06378173828125,
-0.01045989990234375,
-0.030792236328125,
0.08758544921875,
0.039459228515625,
0.056549072265625,
0.006870269775390625,
0.020599365234375,
0.06158447265625,
0.0137481689453125,
-0.022979736328125,
0.02032470703125,
0.00331878662109375,
-0.05999755859375,
-0.01393890380859375,
-0.04144287109375,
-0.0377197265625,
0.037139892578125,
-0.05908203125,
0.021087646484375,
-0.0496826171875,
-0.01345062255859375,
-0.0081939697265625,
0.0290374755859375,
-0.05987548828125,
0.0182037353515625,
0.0147705078125,
0.086669921875,
-0.0635986328125,
0.05938720703125,
0.076416015625,
-0.04486083984375,
-0.06982421875,
-0.00759124755859375,
-0.0004444122314453125,
-0.04864501953125,
0.051971435546875,
-0.0025272369384765625,
0.0102996826171875,
0.0176544189453125,
-0.0640869140625,
-0.089599609375,
0.10357666015625,
-0.00859832763671875,
-0.0202484130859375,
0.01309967041015625,
-0.003055572509765625,
0.0458984375,
-0.0275115966796875,
0.0277862548828125,
0.0209197998046875,
0.0404052734375,
0.00652313232421875,
-0.034576416015625,
0.0024051666259765625,
-0.0231781005859375,
0.002605438232421875,
-0.01067352294921875,
-0.07275390625,
0.08856201171875,
-0.0251007080078125,
-0.0031108856201171875,
0.01544952392578125,
0.0657958984375,
0.061798095703125,
0.01021575927734375,
0.033203125,
0.055908203125,
0.0293731689453125,
0.00458526611328125,
0.057159423828125,
-0.033660888671875,
0.044677734375,
0.0496826171875,
-0.0252838134765625,
0.051910400390625,
0.0155181884765625,
-0.0186004638671875,
0.036041259765625,
0.06524658203125,
-0.02783203125,
0.041900634765625,
0.013031005859375,
0.00244140625,
-0.0190582275390625,
0.025787353515625,
-0.04315185546875,
0.010772705078125,
0.0311279296875,
0.0118408203125,
-0.0198822021484375,
-0.0052032470703125,
-0.014251708984375,
-0.023101806640625,
-0.0197601318359375,
0.06085205078125,
-0.007904052734375,
-0.05865478515625,
0.061370849609375,
0.00824737548828125,
0.03240966796875,
-0.05322265625,
-0.01422119140625,
-0.02520751953125,
0.0274810791015625,
-0.01934814453125,
-0.05584716796875,
-0.0020961761474609375,
-0.01026153564453125,
-0.003810882568359375,
0.0029163360595703125,
0.040679931640625,
-0.009063720703125,
-0.0158233642578125,
0.03375244140625,
0.034881591796875,
0.0262603759765625,
0.0184783935546875,
-0.08331298828125,
-0.007110595703125,
-0.0032596588134765625,
-0.037017822265625,
0.033935546875,
0.035125732421875,
0.0010366439819335938,
0.0684814453125,
0.045379638671875,
-0.0051116943359375,
0.015350341796875,
-0.0162811279296875,
0.07373046875,
-0.066650390625,
-0.04638671875,
-0.037933349609375,
0.043365478515625,
0.0101470947265625,
-0.043304443359375,
0.0565185546875,
0.06646728515625,
0.0625,
-0.03399658203125,
0.050567626953125,
-0.0180206298828125,
-0.0015935897827148438,
-0.040069580078125,
0.05023193359375,
-0.047210693359375,
0.0032825469970703125,
-0.0113677978515625,
-0.05718994140625,
0.0002486705780029297,
0.054412841796875,
0.0029926300048828125,
0.005970001220703125,
0.047821044921875,
0.07781982421875,
-0.0189971923828125,
-0.0139007568359375,
0.0234222412109375,
0.02545166015625,
0.0167388916015625,
0.034912109375,
0.08099365234375,
-0.053863525390625,
0.048828125,
-0.04229736328125,
-0.0088653564453125,
-0.01401519775390625,
-0.049835205078125,
-0.054443359375,
-0.0247344970703125,
-0.03533935546875,
-0.0506591796875,
0.01175689697265625,
0.06463623046875,
0.07330322265625,
-0.052001953125,
-0.03765869140625,
-0.004009246826171875,
0.00084686279296875,
-0.036956787109375,
-0.022552490234375,
0.0181884765625,
-0.011993408203125,
-0.045501708984375,
0.03741455078125,
-0.0095062255859375,
0.01015472412109375,
-0.0290374755859375,
-0.035186767578125,
-0.02374267578125,
-0.0198822021484375,
0.01025390625,
0.0474853515625,
-0.042724609375,
-0.016693115234375,
-0.01438140869140625,
-0.017913818359375,
0.0021648406982421875,
0.020965576171875,
-0.0640869140625,
-0.004764556884765625,
0.031707763671875,
0.01442718505859375,
0.06365966796875,
0.0016374588012695312,
0.0230865478515625,
-0.041656494140625,
0.01042938232421875,
0.01442718505859375,
0.0310211181640625,
0.008758544921875,
-0.0281524658203125,
0.034759521484375,
0.02728271484375,
-0.060577392578125,
-0.0531005859375,
-0.0158233642578125,
-0.071044921875,
-0.0263519287109375,
0.0804443359375,
-0.029144287109375,
-0.043426513671875,
0.0013036727905273438,
-0.0087432861328125,
0.0135650634765625,
-0.033721923828125,
0.033355712890625,
0.032012939453125,
-0.0171966552734375,
0.002620697021484375,
-0.051605224609375,
0.055389404296875,
0.0043182373046875,
-0.05389404296875,
-0.016571044921875,
0.042572021484375,
0.040496826171875,
0.01393890380859375,
0.035308837890625,
0.0010404586791992188,
0.035888671875,
0.0276336669921875,
0.0211334228515625,
-0.01270294189453125,
-0.0290374755859375,
-0.0462646484375,
0.006320953369140625,
-0.01099395751953125,
-0.0106964111328125
]
] |
imamnurby/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-26T13:05:34.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | imamnurby | null | null | imamnurby/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-26T13:05:08 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 329.00 +/- 157.97
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga imamnurby -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga imamnurby -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga imamnurby
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 10000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,760 | [
[
-0.043914794921875,
-0.0394287109375,
0.01934814453125,
0.0252838134765625,
-0.010986328125,
-0.017303466796875,
0.01026153564453125,
-0.0129852294921875,
0.01201629638671875,
0.0222320556640625,
-0.07122802734375,
-0.035003662109375,
-0.025238037109375,
-0.004180908203125,
-0.00014984607696533203,
0.0736083984375,
-0.00379180908203125,
0.01021575927734375,
-0.01483154296875,
-0.01537322998046875,
-0.02496337890625,
-0.0203094482421875,
-0.05230712890625,
-0.03167724609375,
0.01080322265625,
0.01120758056640625,
0.062286376953125,
0.072265625,
0.039764404296875,
0.02728271484375,
-0.00952911376953125,
-0.00371551513671875,
-0.029449462890625,
-0.0032749176025390625,
0.002521514892578125,
-0.0170135498046875,
-0.0276336669921875,
-0.0109100341796875,
0.05181884765625,
0.00585174560546875,
-0.0172882080078125,
0.0196380615234375,
-0.0189361572265625,
0.031402587890625,
-0.039215087890625,
0.034881591796875,
-0.00872039794921875,
0.03302001953125,
0.00403594970703125,
-0.00960540771484375,
0.003978729248046875,
-0.00562286376953125,
-0.0019006729125976562,
-0.08453369140625,
0.013397216796875,
0.0032405853271484375,
0.101318359375,
0.039398193359375,
-0.02081298828125,
0.00850677490234375,
-0.045806884765625,
0.0523681640625,
-0.07000732421875,
0.036834716796875,
0.0201416015625,
0.03240966796875,
-0.0152130126953125,
-0.06622314453125,
-0.0340576171875,
-0.01800537109375,
0.005126953125,
0.0235748291015625,
-0.00787353515625,
-0.003101348876953125,
0.0535888671875,
0.002536773681640625,
-0.044891357421875,
0.00876617431640625,
-0.03662109375,
-0.01605224609375,
0.0323486328125,
0.04107666015625,
0.00904083251953125,
-0.01236724853515625,
-0.0357666015625,
-0.043670654296875,
-0.0263824462890625,
0.034027099609375,
0.0141448974609375,
0.01224517822265625,
-0.0287933349609375,
0.04229736328125,
-0.036590576171875,
0.037200927734375,
0.008544921875,
-0.0165863037109375,
0.0251922607421875,
-0.021270751953125,
-0.0172119140625,
-0.0296783447265625,
0.06451416015625,
0.0484619140625,
-0.01273345947265625,
0.0201416015625,
-0.0253753662109375,
-0.019775390625,
0.008270263671875,
-0.065185546875,
-0.02447509765625,
0.041473388671875,
-0.025115966796875,
-0.004425048828125,
-0.004589080810546875,
-0.05718994140625,
-0.0079345703125,
-0.007442474365234375,
0.03228759765625,
-0.045867919921875,
-0.013702392578125,
-0.00030684471130371094,
-0.0283355712890625,
0.043609619140625,
0.0223236083984375,
-0.05926513671875,
0.029266357421875,
0.034027099609375,
0.05810546875,
0.00768280029296875,
-0.048980712890625,
-0.028289794921875,
0.01522064208984375,
-0.0285491943359375,
0.049835205078125,
0.0009860992431640625,
-0.0232391357421875,
0.00095367431640625,
0.01157379150390625,
-0.0035800933837890625,
-0.03424072265625,
0.0254058837890625,
-0.049072265625,
0.008941650390625,
-0.00804901123046875,
-0.034454345703125,
-0.0262603759765625,
0.0386962890625,
-0.0562744140625,
0.0877685546875,
0.01226806640625,
-0.058685302734375,
0.034576416015625,
-0.052398681640625,
-0.0028667449951171875,
0.01849365234375,
-0.0038299560546875,
-0.06011962890625,
-0.03369140625,
0.01352691650390625,
0.039398193359375,
0.0167236328125,
0.0091552734375,
-0.035186767578125,
-0.0251617431640625,
0.01220703125,
0.0009555816650390625,
0.068603515625,
0.01087188720703125,
-0.030609130859375,
0.018341064453125,
-0.060821533203125,
0.016265869140625,
0.016998291015625,
-0.041412353515625,
0.007678985595703125,
-0.00287628173828125,
0.01727294921875,
0.02667236328125,
0.0258331298828125,
-0.0269927978515625,
0.0090789794921875,
-0.0264129638671875,
0.034027099609375,
0.037689208984375,
0.0194854736328125,
0.0140838623046875,
-0.0230255126953125,
0.03887939453125,
0.01396942138671875,
0.02325439453125,
0.017242431640625,
-0.0243072509765625,
-0.039794921875,
-0.021820068359375,
-0.004970550537109375,
0.031951904296875,
-0.05657958984375,
0.037200927734375,
-0.00942230224609375,
-0.041046142578125,
-0.016387939453125,
-0.008819580078125,
0.03076171875,
0.01531982421875,
0.037811279296875,
0.010467529296875,
-0.045135498046875,
-0.06439208984375,
0.007740020751953125,
-0.01258087158203125,
0.0117645263671875,
0.035919189453125,
0.07830810546875,
-0.0287933349609375,
0.05615234375,
-0.03656005859375,
-0.0172271728515625,
-0.00726318359375,
-0.0196990966796875,
0.02313232421875,
0.0567626953125,
0.04925537109375,
-0.042327880859375,
-0.027679443359375,
-0.004726409912109375,
-0.0738525390625,
0.03826904296875,
0.0010957717895507812,
-0.0083160400390625,
0.004566192626953125,
0.03338623046875,
-0.06976318359375,
0.03302001953125,
0.0179443359375,
-0.0233917236328125,
0.0506591796875,
-0.0289459228515625,
0.00881195068359375,
-0.0672607421875,
0.01338958740234375,
0.007587432861328125,
-0.013153076171875,
-0.023406982421875,
0.037811279296875,
0.00527191162109375,
-0.0198974609375,
-0.06402587890625,
0.05340576171875,
-0.0269622802734375,
-0.0081329345703125,
-0.0010118484497070312,
-0.005611419677734375,
-0.00251007080078125,
0.05181884765625,
0.01329803466796875,
0.046844482421875,
0.06304931640625,
-0.06103515625,
0.04766845703125,
0.0291748046875,
-0.01080322265625,
0.0081024169921875,
-0.049224853515625,
-0.00939178466796875,
-0.0008225440979003906,
0.034454345703125,
-0.056121826171875,
-0.038970947265625,
0.044525146484375,
-0.0360107421875,
0.007602691650390625,
-0.0206146240234375,
-0.017608642578125,
-0.036895751953125,
-0.022491455078125,
0.0265045166015625,
0.0300445556640625,
-0.041473388671875,
0.02655029296875,
0.0203857421875,
0.016937255859375,
-0.06109619140625,
-0.033782958984375,
-0.00853729248046875,
-0.0312347412109375,
-0.0400390625,
0.0175323486328125,
-0.0087890625,
-0.01229095458984375,
0.015869140625,
-0.006343841552734375,
-0.00852203369140625,
0.0108642578125,
0.0177764892578125,
0.022705078125,
-0.028228759765625,
-0.03509521484375,
-0.021820068359375,
-0.00771331787109375,
0.02923583984375,
-0.0225677490234375,
0.0268402099609375,
-0.0218505859375,
-0.00815582275390625,
-0.046844482421875,
-0.006134033203125,
0.043701171875,
0.0022029876708984375,
0.0626220703125,
0.057861328125,
-0.04266357421875,
-0.0221099853515625,
-0.0121002197265625,
-0.0160980224609375,
-0.03387451171875,
0.043365478515625,
-0.0260467529296875,
-0.0396728515625,
0.056915283203125,
0.00763702392578125,
0.01654052734375,
0.04571533203125,
0.0241546630859375,
-0.0140380859375,
0.0870361328125,
0.03900146484375,
0.00627899169921875,
0.038116455078125,
-0.067138671875,
-0.0269775390625,
-0.0631103515625,
-0.033477783203125,
-0.037200927734375,
0.0023746490478515625,
-0.0321044921875,
-0.03466796875,
0.030517578125,
0.00855255126953125,
-0.05157470703125,
0.0308380126953125,
-0.02081298828125,
0.0369873046875,
0.0282745361328125,
0.00995635986328125,
-0.0186004638671875,
0.004474639892578125,
-0.026580810546875,
-0.00862884521484375,
-0.0634765625,
-0.022247314453125,
0.0657958984375,
0.040191650390625,
0.060516357421875,
0.00994873046875,
0.046356201171875,
0.014068603515625,
-0.00464630126953125,
-0.04638671875,
0.03900146484375,
0.0131378173828125,
-0.05657958984375,
-0.037109375,
-0.0239105224609375,
-0.059295654296875,
0.035125732421875,
-0.020538330078125,
-0.052825927734375,
0.01111602783203125,
0.00940704345703125,
-0.0462646484375,
0.0179901123046875,
-0.0181427001953125,
0.07733154296875,
-0.012054443359375,
-0.04681396484375,
-0.006267547607421875,
-0.05450439453125,
0.048187255859375,
0.01517486572265625,
0.0085296630859375,
0.00394439697265625,
-0.00943756103515625,
0.0706787109375,
-0.05133056640625,
0.04278564453125,
-0.043487548828125,
0.0229949951171875,
0.031524658203125,
0.004703521728515625,
0.034576416015625,
0.03759765625,
0.006439208984375,
0.00832366943359375,
0.01439666748046875,
-0.037933349609375,
-0.032257080078125,
0.054412841796875,
-0.10504150390625,
-0.036712646484375,
-0.05096435546875,
-0.0279693603515625,
-0.0027751922607421875,
0.0201263427734375,
0.0198516845703125,
0.026763916015625,
-0.01763916015625,
0.0248870849609375,
0.05596923828125,
-0.0211029052734375,
0.03460693359375,
0.04412841796875,
-0.01678466796875,
-0.049652099609375,
0.057525634765625,
-0.00901031494140625,
-0.0012359619140625,
0.0137939453125,
0.0004296302795410156,
-0.045806884765625,
-0.03564453125,
-0.054290771484375,
0.0133819580078125,
-0.057586669921875,
-0.021759033203125,
-0.05224609375,
-0.0465087890625,
-0.0355224609375,
-0.00011545419692993164,
-0.035797119140625,
-0.0203857421875,
-0.030029296875,
-0.0066986083984375,
0.0303497314453125,
0.04278564453125,
-0.033966064453125,
0.0306396484375,
-0.05499267578125,
0.0269622802734375,
0.0218658447265625,
0.00937652587890625,
-0.00397491455078125,
-0.051361083984375,
-0.043121337890625,
0.006984710693359375,
-0.036834716796875,
-0.044891357421875,
0.053680419921875,
0.00006151199340820312,
0.062225341796875,
0.035369873046875,
-0.0205841064453125,
0.066162109375,
-0.018798828125,
0.0706787109375,
0.0037937164306640625,
-0.04998779296875,
0.03680419921875,
-0.042205810546875,
0.017486572265625,
0.025634765625,
0.039337158203125,
-0.024932861328125,
-0.0091705322265625,
-0.06036376953125,
-0.06005859375,
0.08441162109375,
0.0172119140625,
-0.01397705078125,
0.016357421875,
0.03289794921875,
-0.0209197998046875,
-0.0036716461181640625,
-0.08233642578125,
-0.0277099609375,
-0.040740966796875,
0.0236968994140625,
-0.017791748046875,
0.0220794677734375,
-0.0229034423828125,
-0.025665283203125,
0.0782470703125,
-0.01198577880859375,
0.023193359375,
0.0214385986328125,
-0.0016927719116210938,
-0.0289306640625,
-0.0170745849609375,
0.04925537109375,
0.0333251953125,
-0.047576904296875,
-0.0240020751953125,
0.01279449462890625,
-0.0279998779296875,
0.0223541259765625,
0.01763916015625,
-0.00908660888671875,
-0.0092010498046875,
0.03143310546875,
0.0687255859375,
0.0218353271484375,
-0.028289794921875,
0.04266357421875,
-0.021026611328125,
-0.03564453125,
-0.035919189453125,
0.0180511474609375,
0.0076751708984375,
0.0298919677734375,
0.01157379150390625,
0.0242767333984375,
0.000713348388671875,
-0.0215606689453125,
0.0100860595703125,
0.03082275390625,
-0.034027099609375,
-0.0156097412109375,
0.0723876953125,
-0.0027313232421875,
-0.0178985595703125,
0.06402587890625,
-0.009796142578125,
-0.031707763671875,
0.0872802734375,
0.0400390625,
0.0565185546875,
0.005710601806640625,
0.02081298828125,
0.06121826171875,
0.01302337646484375,
-0.0220794677734375,
0.0207061767578125,
0.0026874542236328125,
-0.0599365234375,
-0.01296234130859375,
-0.0423583984375,
-0.03851318359375,
0.037109375,
-0.0599365234375,
0.020294189453125,
-0.050323486328125,
-0.01291656494140625,
-0.008026123046875,
0.029815673828125,
-0.060638427734375,
0.0187835693359375,
0.0135955810546875,
0.0863037109375,
-0.0640869140625,
0.060455322265625,
0.0765380859375,
-0.04522705078125,
-0.06964111328125,
-0.006175994873046875,
-0.0017499923706054688,
-0.04974365234375,
0.051422119140625,
-0.0023555755615234375,
0.01019287109375,
0.0168304443359375,
-0.06341552734375,
-0.08978271484375,
0.10284423828125,
-0.0091705322265625,
-0.01959228515625,
0.01352691650390625,
-0.0019092559814453125,
0.045928955078125,
-0.0261688232421875,
0.028594970703125,
0.0214691162109375,
0.040802001953125,
0.00667572021484375,
-0.034881591796875,
0.0034694671630859375,
-0.0229949951171875,
0.0030059814453125,
-0.01064300537109375,
-0.0731201171875,
0.08880615234375,
-0.0247650146484375,
-0.002716064453125,
0.0159912109375,
0.066162109375,
0.0618896484375,
0.01062774658203125,
0.03253173828125,
0.056396484375,
0.0290679931640625,
0.005260467529296875,
0.05657958984375,
-0.033294677734375,
0.04388427734375,
0.049591064453125,
-0.025360107421875,
0.05224609375,
0.01593017578125,
-0.0187530517578125,
0.036529541015625,
0.06524658203125,
-0.0272979736328125,
0.0416259765625,
0.01314544677734375,
0.0019369125366210938,
-0.01898193359375,
0.0245361328125,
-0.044281005859375,
0.01128387451171875,
0.03094482421875,
0.0118408203125,
-0.0212554931640625,
-0.00499725341796875,
-0.01399993896484375,
-0.0230255126953125,
-0.01904296875,
0.06072998046875,
-0.00820159912109375,
-0.057708740234375,
0.0626220703125,
0.00946044921875,
0.0323486328125,
-0.0531005859375,
-0.01458740234375,
-0.0251617431640625,
0.0269927978515625,
-0.01922607421875,
-0.055694580078125,
-0.0016164779663085938,
-0.01068115234375,
-0.003932952880859375,
0.0031452178955078125,
0.040496826171875,
-0.00792694091796875,
-0.01666259765625,
0.0333251953125,
0.035888671875,
0.026580810546875,
0.01812744140625,
-0.08465576171875,
-0.006397247314453125,
-0.0032024383544921875,
-0.037109375,
0.03497314453125,
0.035614013671875,
0.0004458427429199219,
0.06866455078125,
0.0457763671875,
-0.004146575927734375,
0.01520538330078125,
-0.016815185546875,
0.0740966796875,
-0.067626953125,
-0.04547119140625,
-0.0390625,
0.0411376953125,
0.01032257080078125,
-0.043060302734375,
0.05731201171875,
0.06658935546875,
0.06298828125,
-0.03289794921875,
0.050933837890625,
-0.0173492431640625,
-0.0008745193481445312,
-0.039764404296875,
0.0504150390625,
-0.04656982421875,
0.0027065277099609375,
-0.01107025146484375,
-0.057708740234375,
0.00015437602996826172,
0.053924560546875,
0.0028629302978515625,
0.006206512451171875,
0.0478515625,
0.0782470703125,
-0.0191802978515625,
-0.01422882080078125,
0.023651123046875,
0.0257720947265625,
0.016876220703125,
0.034881591796875,
0.08135986328125,
-0.053680419921875,
0.04815673828125,
-0.042877197265625,
-0.00885009765625,
-0.01404571533203125,
-0.04901123046875,
-0.055084228515625,
-0.0242156982421875,
-0.035125732421875,
-0.04998779296875,
0.0122222900390625,
0.0653076171875,
0.0723876953125,
-0.053192138671875,
-0.038330078125,
-0.0031375885009765625,
0.0017337799072265625,
-0.036895751953125,
-0.022735595703125,
0.0189971923828125,
-0.01198577880859375,
-0.04571533203125,
0.03619384765625,
-0.0095672607421875,
0.0101165771484375,
-0.0294647216796875,
-0.03466796875,
-0.0244903564453125,
-0.019073486328125,
0.00942230224609375,
0.047149658203125,
-0.043701171875,
-0.0160980224609375,
-0.0161590576171875,
-0.018402099609375,
0.002521514892578125,
0.0201873779296875,
-0.06402587890625,
-0.006008148193359375,
0.03179931640625,
0.0151519775390625,
0.061981201171875,
0.0013551712036132812,
0.022613525390625,
-0.040374755859375,
0.01065826416015625,
0.01477813720703125,
0.030731201171875,
0.0082244873046875,
-0.027801513671875,
0.033935546875,
0.0268096923828125,
-0.06011962890625,
-0.05340576171875,
-0.01535797119140625,
-0.07080078125,
-0.026397705078125,
0.08013916015625,
-0.02923583984375,
-0.043365478515625,
0.0007958412170410156,
-0.0091400146484375,
0.01436614990234375,
-0.033966064453125,
0.033111572265625,
0.032501220703125,
-0.017730712890625,
0.0031337738037109375,
-0.05194091796875,
0.055999755859375,
0.00557708740234375,
-0.054046630859375,
-0.0171661376953125,
0.04193115234375,
0.040679931640625,
0.01303863525390625,
0.035552978515625,
0.0015010833740234375,
0.035888671875,
0.0268402099609375,
0.019927978515625,
-0.01248931884765625,
-0.0288848876953125,
-0.046051025390625,
0.006595611572265625,
-0.0093994140625,
-0.0115966796875
]
] |
raffel-22/my-custom-model | 2023-10-09T01:50:09.000Z | [
"transformers",
"pytorch",
"my_custom_model",
"image-classification",
"dataset:Shanav12/sports_ball_dataset",
"endpoints_compatible",
"region:us"
] | image-classification | raffel-22 | null | null | raffel-22/my-custom-model | 0 | 2 | transformers | 2023-09-26T13:12:39 | ---
datasets:
- Shanav12/sports_ball_dataset
pipeline_tag: image-classification
---
It was a task from the AI Engineer boot camp, if you want to improve this repo, you can contact me, see my code to build this repo via this link :
https://colab.research.google.com/drive/1Nmvnyma8pFovz_WsucC05dJhR5T9DR_I?usp=sharing | 318 | [
[
-0.049896240234375,
-0.0192413330078125,
0.022735595703125,
0.02691650390625,
0.010162353515625,
0.020263671875,
-0.00487518310546875,
-0.01256561279296875,
0.02130126953125,
0.02899169921875,
-0.06646728515625,
-0.043609619140625,
-0.022247314453125,
0.004245758056640625,
-0.0083160400390625,
0.07110595703125,
-0.01435089111328125,
0.0029430389404296875,
-0.007617950439453125,
0.0013561248779296875,
-0.048858642578125,
-0.0022373199462890625,
-0.04437255859375,
-0.0117950439453125,
0.00045299530029296875,
0.04901123046875,
0.0242156982421875,
0.048858642578125,
0.049407958984375,
0.024169921875,
-0.002376556396484375,
-0.016754150390625,
-0.043609619140625,
0.0030193328857421875,
-0.00295257568359375,
-0.0191802978515625,
-0.0428466796875,
0.020782470703125,
0.034515380859375,
0.0197296142578125,
0.001224517822265625,
0.0311126708984375,
-0.00604248046875,
0.075927734375,
-0.031524658203125,
0.0287322998046875,
-0.0148773193359375,
-0.0214691162109375,
0.017181396484375,
-0.00426483154296875,
-0.0200958251953125,
-0.026275634765625,
-0.0146026611328125,
-0.0533447265625,
0.0264739990234375,
0.030364990234375,
0.06256103515625,
0.0438232421875,
0.004161834716796875,
-0.01861572265625,
-0.0283660888671875,
0.0293731689453125,
-0.032684326171875,
0.022552490234375,
0.0269622802734375,
0.0293731689453125,
-0.0287017822265625,
-0.052459716796875,
-0.033660888671875,
-0.03472900390625,
-0.00019299983978271484,
-0.00188446044921875,
0.0211334228515625,
0.01146697998046875,
0.0201263427734375,
0.035430908203125,
-0.057891845703125,
-0.003387451171875,
-0.04290771484375,
-0.0325927734375,
0.055572509765625,
0.00743865966796875,
0.0379638671875,
-0.0003924369812011719,
-0.0265655517578125,
-0.033905029296875,
-0.03857421875,
-0.00044226646423339844,
0.04791259765625,
0.013092041015625,
-0.03021240234375,
0.065673828125,
-0.032501220703125,
0.03875732421875,
-0.0020904541015625,
0.03265380859375,
0.044403076171875,
-0.01311492919921875,
-0.004161834716796875,
-0.01171875,
0.053131103515625,
0.03753662109375,
0.01343536376953125,
-0.00508880615234375,
-0.0082244873046875,
-0.01351165771484375,
0.053619384765625,
-0.06268310546875,
-0.05267333984375,
0.022186279296875,
-0.043304443359375,
-0.0257568359375,
0.025848388671875,
-0.04132080078125,
-0.0156402587890625,
-0.018218994140625,
0.00347137451171875,
-0.040496826171875,
-0.004894256591796875,
-0.0230560302734375,
-0.014251708984375,
0.02227783203125,
0.013641357421875,
-0.031890869140625,
0.00026607513427734375,
0.043975830078125,
0.05523681640625,
0.0440673828125,
-0.031402587890625,
-0.045989990234375,
-0.00670623779296875,
0.0004558563232421875,
0.036346435546875,
-0.0197601318359375,
-0.051025390625,
0.0026302337646484375,
0.004199981689453125,
0.00372314453125,
-0.042724609375,
0.0207366943359375,
-0.051910400390625,
-0.000881195068359375,
0.0032024383544921875,
-0.0292816162109375,
-0.0107879638671875,
0.0290374755859375,
-0.053558349609375,
0.04949951171875,
0.03216552734375,
-0.0306243896484375,
-0.004878997802734375,
-0.09283447265625,
-0.0218353271484375,
0.032073974609375,
-0.0279388427734375,
-0.04364013671875,
-0.01023101806640625,
0.0028362274169921875,
0.011627197265625,
-0.0111541748046875,
0.01125335693359375,
-0.0262908935546875,
-0.0290985107421875,
-0.00023651123046875,
0.0252838134765625,
0.0751953125,
0.01800537109375,
-0.03759765625,
0.0188140869140625,
-0.06146240234375,
0.006137847900390625,
0.01258087158203125,
-0.022613525390625,
-0.022430419921875,
-0.01531982421875,
-0.0041961669921875,
-0.0016813278198242188,
0.05133056640625,
-0.0250091552734375,
0.060302734375,
-0.0182342529296875,
0.00933074951171875,
0.07696533203125,
0.001300811767578125,
0.059906005859375,
-0.00299072265625,
0.0288848876953125,
-0.02490234375,
0.00891876220703125,
0.005146026611328125,
-0.03228759765625,
-0.048553466796875,
-0.0189208984375,
0.0198516845703125,
0.036163330078125,
-0.0516357421875,
0.03668212890625,
0.0037517547607421875,
-0.031280517578125,
-0.038848876953125,
0.0288848876953125,
0.03558349609375,
0.03082275390625,
0.0211334228515625,
-0.0251617431640625,
-0.050994873046875,
-0.0712890625,
0.01009368896484375,
-0.043243408203125,
-0.0181732177734375,
0.022308349609375,
0.0733642578125,
-0.041168212890625,
0.062286376953125,
-0.08160400390625,
-0.0094757080078125,
0.009857177734375,
0.02508544921875,
0.002559661865234375,
0.06585693359375,
0.05181884765625,
-0.042816162109375,
-0.026092529296875,
-0.0062408447265625,
-0.038421630859375,
-0.01319122314453125,
0.0013866424560546875,
-0.031494140625,
-0.01338958740234375,
0.0377197265625,
-0.047027587890625,
0.028900146484375,
0.020538330078125,
-0.041961669921875,
0.0537109375,
-0.00514984130859375,
0.03759765625,
-0.0863037109375,
0.0206756591796875,
-0.00238800048828125,
-0.0007686614990234375,
-0.0072479248046875,
0.03802490234375,
-0.002765655517578125,
-0.0289459228515625,
-0.0228424072265625,
0.0252685546875,
-0.049102783203125,
0.02471923828125,
-0.01319122314453125,
-0.0172271728515625,
-0.032379150390625,
0.03253173828125,
-0.053131103515625,
0.093017578125,
0.04547119140625,
-0.031341552734375,
0.042510986328125,
0.039520263671875,
-0.0065460205078125,
0.027618408203125,
-0.0518798828125,
0.04632568359375,
0.0007848739624023438,
-0.007076263427734375,
-0.068115234375,
-0.032470703125,
0.053131103515625,
-0.058349609375,
0.0203857421875,
-0.0178375244140625,
-0.041961669921875,
-0.03082275390625,
-0.0384521484375,
0.035614013671875,
0.0286407470703125,
-0.04052734375,
0.0228729248046875,
0.039947509765625,
-0.0188140869140625,
-0.032501220703125,
-0.005184173583984375,
-0.00970458984375,
-0.0026874542236328125,
-0.035125732421875,
0.0281219482421875,
-0.038665771484375,
-0.04248046875,
-0.00864410400390625,
0.004329681396484375,
-0.03173828125,
-0.0034770965576171875,
0.052459716796875,
0.040496826171875,
-0.0203704833984375,
-0.0026531219482421875,
-0.0139923095703125,
-0.0240325927734375,
0.02337646484375,
-0.0037670135498046875,
0.051544189453125,
-0.04534912109375,
-0.01678466796875,
-0.0379638671875,
0.0162200927734375,
0.051239013671875,
-0.0036220550537109375,
0.038787841796875,
0.0283966064453125,
-0.01806640625,
-0.01287841796875,
-0.0251312255859375,
-0.0220794677734375,
-0.034942626953125,
0.0177001953125,
-0.01873779296875,
-0.055938720703125,
0.04168701171875,
-0.0273895263671875,
-0.002994537353515625,
0.045562744140625,
0.0236968994140625,
-0.027679443359375,
0.059722900390625,
0.05517578125,
-0.05511474609375,
0.043609619140625,
-0.0670166015625,
-0.005191802978515625,
-0.04937744140625,
-0.038970947265625,
-0.055328369140625,
-0.033416748046875,
-0.04315185546875,
-0.028564453125,
-0.0042877197265625,
0.005863189697265625,
-0.046051025390625,
0.04638671875,
-0.047088623046875,
0.0248565673828125,
0.06524658203125,
0.004878997802734375,
-0.0037689208984375,
-0.01531982421875,
0.01788330078125,
0.0145111083984375,
-0.0195465087890625,
-0.0235748291015625,
0.05316162109375,
0.0244598388671875,
0.04754638671875,
-0.01192474365234375,
0.07293701171875,
0.0274810791015625,
0.011871337890625,
-0.031768798828125,
0.059112548828125,
0.0193939208984375,
-0.032135009765625,
-0.0304412841796875,
-0.0265655517578125,
-0.05718994140625,
-0.0252685546875,
-0.0005497932434082031,
-0.0443115234375,
-0.014892578125,
0.022491455078125,
-0.002651214599609375,
0.00521087646484375,
-0.065673828125,
0.0833740234375,
-0.0191802978515625,
0.0185699462890625,
-0.0192413330078125,
-0.047332763671875,
0.023529052734375,
0.034759521484375,
0.0132598876953125,
0.00835418701171875,
0.00272369384765625,
0.070068359375,
-0.07904052734375,
0.047027587890625,
-0.007198333740234375,
0.0164642333984375,
0.0565185546875,
-0.0049896240234375,
0.0292816162109375,
0.03436279296875,
0.003444671630859375,
0.006862640380859375,
-0.0382080078125,
-0.049560546875,
-0.0230712890625,
0.06463623046875,
-0.070556640625,
-0.0201263427734375,
-0.0262298583984375,
-0.06463623046875,
0.0201263427734375,
0.021209716796875,
0.007160186767578125,
0.004268646240234375,
-0.009796142578125,
0.019134521484375,
0.01338958740234375,
0.0166015625,
0.049346923828125,
0.01873779296875,
-0.0018291473388671875,
-0.038238525390625,
0.07568359375,
-0.01727294921875,
-0.0305328369140625,
0.012908935546875,
-0.003429412841796875,
-0.01271820068359375,
-0.045318603515625,
-0.04742431640625,
0.0164947509765625,
-0.031280517578125,
-0.0263824462890625,
0.004364013671875,
-0.02154541015625,
-0.0487060546875,
-0.03704833984375,
-0.040313720703125,
-0.019134521484375,
-0.039337158203125,
-0.0034236907958984375,
0.04669189453125,
0.059722900390625,
0.0017938613891601562,
0.03704833984375,
-0.049560546875,
0.035797119140625,
-0.0032787322998046875,
0.042388916015625,
-0.0335693359375,
-0.02093505859375,
-0.03106689453125,
-0.0027065277099609375,
-0.035614013671875,
-0.04718017578125,
0.0242156982421875,
-0.02130126953125,
0.054901123046875,
0.002429962158203125,
0.0154571533203125,
0.03668212890625,
-0.0285186767578125,
0.04644775390625,
0.0286865234375,
-0.0650634765625,
0.0694580078125,
-0.00516510009765625,
0.034759521484375,
0.07562255859375,
0.02020263671875,
0.01439666748046875,
-0.044830322265625,
-0.064453125,
-0.08587646484375,
0.0175628662109375,
0.043243408203125,
-0.01316070556640625,
0.01476287841796875,
0.03314208984375,
-0.008026123046875,
-0.001163482666015625,
-0.0445556640625,
-0.054595947265625,
-0.005523681640625,
-0.0157623291015625,
0.0148773193359375,
0.00388336181640625,
-0.026763916015625,
-0.0079803466796875,
0.06634521484375,
-0.0155487060546875,
0.0188446044921875,
0.00008684396743774414,
-0.0248565673828125,
0.003910064697265625,
0.0110931396484375,
0.05841064453125,
0.0330810546875,
-0.0311431884765625,
-0.02294921875,
-0.0017423629760742188,
-0.060272216796875,
0.011138916015625,
0.04168701171875,
-0.01331329345703125,
-0.01129150390625,
0.0293731689453125,
0.0357666015625,
-0.0268707275390625,
-0.0379638671875,
0.024810791015625,
-0.01214599609375,
-0.01092529296875,
-0.02325439453125,
0.0218048095703125,
-0.00601959228515625,
0.0435791015625,
0.032989501953125,
0.0204315185546875,
0.0155029296875,
-0.0214385986328125,
0.0268707275390625,
0.02532958984375,
-0.03485107421875,
-0.005512237548828125,
0.0506591796875,
0.037811279296875,
-0.07305908203125,
0.08056640625,
-0.0242156982421875,
-0.042388916015625,
0.07135009765625,
0.0220489501953125,
0.07012939453125,
0.0021991729736328125,
0.01409912109375,
0.054473876953125,
0.0302734375,
0.0145111083984375,
0.036529541015625,
0.00385284423828125,
-0.01611328125,
-0.034942626953125,
-0.0185394287109375,
-0.040191650390625,
0.0276336669921875,
-0.0299530029296875,
0.0345458984375,
-0.042816162109375,
0.010101318359375,
-0.02740478515625,
-0.0156707763671875,
-0.04388427734375,
0.0277862548828125,
-0.002567291259765625,
0.07373046875,
-0.042938232421875,
0.041839599609375,
0.092041015625,
-0.050384521484375,
-0.060638427734375,
0.01251983642578125,
0.0005130767822265625,
-0.06201171875,
0.04571533203125,
0.01959228515625,
-0.009613037109375,
0.007415771484375,
-0.055877685546875,
-0.03936767578125,
0.07086181640625,
0.01024627685546875,
-0.05438232421875,
-0.00861358642578125,
-0.00868988037109375,
0.033905029296875,
-0.03485107421875,
0.0168304443359375,
0.01294708251953125,
0.02349853515625,
-0.0164031982421875,
-0.053131103515625,
0.0239105224609375,
-0.050537109375,
-0.00022733211517333984,
0.0156707763671875,
-0.04132080078125,
0.0178070068359375,
-0.051910400390625,
0.0224609375,
0.02581787109375,
0.06622314453125,
0.0182037353515625,
0.027191162109375,
0.05438232421875,
0.0455322265625,
0.0302734375,
-0.00995635986328125,
0.06561279296875,
-0.054290771484375,
0.060211181640625,
0.09222412109375,
0.0233154296875,
0.035400390625,
0.048095703125,
-0.0034198760986328125,
0.045074462890625,
0.04656982421875,
-0.01806640625,
0.04571533203125,
0.0313720703125,
-0.005176544189453125,
0.016754150390625,
0.019378662109375,
-0.057037353515625,
0.0108642578125,
-0.0110626220703125,
-0.028594970703125,
0.01099395751953125,
-0.002788543701171875,
-0.01483154296875,
-0.00640869140625,
-0.0150299072265625,
0.0458984375,
-0.007793426513671875,
-0.0426025390625,
0.042724609375,
-0.02728271484375,
0.01432037353515625,
-0.01558685302734375,
-0.032073974609375,
0.00965118408203125,
0.01389312744140625,
-0.00894927978515625,
-0.076904296875,
0.02130126953125,
-0.0075225830078125,
-0.028594970703125,
-0.033447265625,
0.0330810546875,
-0.00801849365234375,
-0.0279693603515625,
0.034881591796875,
0.015960693359375,
0.01230621337890625,
-0.0026988983154296875,
-0.058441162109375,
0.0158538818359375,
0.01451873779296875,
-0.0285186767578125,
0.006145477294921875,
-0.01126861572265625,
0.00566864013671875,
0.03741455078125,
0.05218505859375,
-0.0113372802734375,
-0.00664520263671875,
0.026123046875,
0.07196044921875,
-0.0693359375,
-0.026824951171875,
-0.047393798828125,
0.06805419921875,
-0.021514892578125,
-0.04217529296875,
0.026275634765625,
0.08135986328125,
0.0927734375,
-0.051727294921875,
0.044158935546875,
-0.045013427734375,
0.01006317138671875,
-0.0222320556640625,
0.068115234375,
-0.031402587890625,
0.023834228515625,
-0.005039215087890625,
-0.05108642578125,
-0.00914764404296875,
0.07159423828125,
-0.0016126632690429688,
-0.00588226318359375,
0.056121826171875,
0.06890869140625,
0.023529052734375,
-0.00959014892578125,
-0.002185821533203125,
0.0322265625,
0.013427734375,
0.01213836669921875,
0.04779052734375,
-0.044036865234375,
0.063232421875,
-0.050506591796875,
-0.0231475830078125,
-0.0164642333984375,
-0.042236328125,
-0.05438232421875,
-0.042022705078125,
-0.0357666015625,
-0.061248779296875,
0.00689697265625,
0.06610107421875,
0.041748046875,
-0.066650390625,
-0.0270233154296875,
-0.034912109375,
0.025543212890625,
-0.0193023681640625,
-0.0212860107421875,
0.002117156982421875,
-0.02642822265625,
-0.06781005859375,
0.0274505615234375,
-0.009063720703125,
0.0099639892578125,
0.005619049072265625,
-0.034423828125,
-0.0273895263671875,
-0.041290283203125,
0.0191497802734375,
0.03399658203125,
-0.036865234375,
-0.039520263671875,
0.0015859603881835938,
-0.0165863037109375,
0.0175323486328125,
0.06768798828125,
-0.0268707275390625,
0.025177001953125,
0.052581787109375,
0.040985107421875,
0.0289764404296875,
-0.004436492919921875,
0.055267333984375,
-0.0426025390625,
-0.0026302337646484375,
0.003650665283203125,
0.042327880859375,
0.005397796630859375,
-0.03961181640625,
0.0670166015625,
0.0252685546875,
-0.052459716796875,
-0.049072265625,
-0.007099151611328125,
-0.08953857421875,
-0.00807952880859375,
0.054290771484375,
0.0010862350463867188,
-0.007114410400390625,
0.0015020370483398438,
-0.0643310546875,
0.03826904296875,
-0.05047607421875,
0.085205078125,
0.03564453125,
-0.0192108154296875,
-0.01103973388671875,
-0.031219482421875,
0.0030689239501953125,
0.00812530517578125,
-0.076416015625,
-0.040252685546875,
0.031768798828125,
0.0191802978515625,
0.05712890625,
0.0283203125,
0.00826263427734375,
0.033966064453125,
0.01558685302734375,
0.034912109375,
-0.0179595947265625,
-0.032012939453125,
-0.00887298583984375,
0.0262298583984375,
-0.005016326904296875,
-0.06304931640625
]
] |
NASA-AIML/MIKA_Custom_IR | 2023-10-03T20:20:24.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | NASA-AIML | null | null | NASA-AIML/MIKA_Custom_IR | 0 | 2 | sentence-transformers | 2023-09-26T15:06:30 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
widget:
- source_sentence: "what components are vulnerable to fatigue crack?"
sentences:
- "One of the first-stage compressor blades had fractued due to fatigue cracking."
- "Witnesses and the fire department personnel noted fuel leaking due to a cracked fuel line."
- "During periods of low visibility and night conditions, the supporting sensors sometimes conflict."
example_title: "Fatigue Crack Query"
---
# Manager for Intelligent Knowledge Access (MIKA)
# Custom Information Retrieval Model
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
The model is custom trained on engineering documents for asymmetric infromation retrieval. It is intended to be used to identify engineering documents relevant to a query for use in design time. For example, a repository can be queried to find support for requirements or learn more about a specific type of failure.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
```
pip install -U sentence-transformers
```
Then you can use the model like this:
```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer("NASA-AIML/MIKA_Custom_IR")
embeddings = model.encode(sentences)
print(embeddings)
```
## Evaluation Results
This model was evaluated on three queries using precision at k for k=10,20, and 30. Mean average precision (MAP) was also calculated. The model was baselines against the pre-trained SBERT.
|IR Method | MAP |
|----------|-----|
|Pre-trained sBERT| 0.648|
|Fine-tuned sBERT| 0.807|
## Training
The model was trained with the parameters:
**DataLoader**:
`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 693 with parameters:
```
{'batch_size': 32}
```
**Loss**:
`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
```
{'scale': 20.0, 'similarity_fct': 'cos_sim'}
```
Parameters of the fit()-Method:
```
{
"epochs": 2,
"evaluation_steps": 100,
"evaluator": "sentence_transformers.evaluation.InformationRetrievalEvaluator.InformationRetrievalEvaluator",
"max_grad_norm": 1,
"optimizer_class": "<class 'transformers.optimization.AdamW'>",
"optimizer_params": {
"lr": 2e-05
},
"scheduler": "WarmupLinear",
"steps_per_epoch": null,
"warmup_steps": 0,
"weight_decay": 0.01
}
```
## Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
(2): Normalize()
)
```
## Citing & Authors
Walsh, HS, & Andrade, SR. "Semantic Search With Sentence-BERT for Design Information Retrieval." Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 42nd Computers and Information in Engineering Conference (CIE). St. Louis, Missouri, USA. August 14–17, 2022. V002T02A066. ASME. https://doi.org/10.1115/DETC2022-89557
* * * * * * * * * * * * * *
Notices:
Copyright © 2023 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All Rights Reserved.
Disclaimers
No Warranty: THE SUBJECT SOFTWARE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR FREEDOM FROM INFRINGEMENT, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL BE ERROR FREE, OR ANY WARRANTY THAT DOCUMENTATION, IF PROVIDED, WILL CONFORM TO THE SUBJECT SOFTWARE. THIS AGREEMENT DOES NOT, IN ANY MANNER, CONSTITUTE AN ENDORSEMENT BY GOVERNMENT AGENCY OR ANY PRIOR RECIPIENT OF ANY RESULTS, RESULTING DESIGNS, HARDWARE, SOFTWARE PRODUCTS OR ANY OTHER APPLICATIONS RESULTING FROM USE OF THE SUBJECT SOFTWARE. FURTHER, GOVERNMENT AGENCY DISCLAIMS ALL WARRANTIES AND LIABILITIES REGARDING THIRD-PARTY SOFTWARE, IF PRESENT IN THE ORIGINAL SOFTWARE, AND DISTRIBUTES IT "AS IS."
Waiver and Indemnity: RECIPIENT AGREES TO WAIVE ANY AND ALL CLAIMS AGAINST THE UNITED STATES GOVERNMENT, ITS CONTRACTORS AND SUBCONTRACTORS, AS WELL AS ANY PRIOR RECIPIENT. IF RECIPIENT'S USE OF THE SUBJECT SOFTWARE RESULTS IN ANY LIABILITIES, DEMANDS, DAMAGES, EXPENSES OR LOSSES ARISING FROM SUCH USE, INCLUDING ANY DAMAGES FROM PRODUCTS BASED ON, OR RESULTING FROM, RECIPIENT'S USE OF THE SUBJECT SOFTWARE, RECIPIENT SHALL INDEMNIFY AND HOLD HARMLESS THE UNITED STATES GOVERNMENT, ITS CONTRACTORS AND SUBCONTRACTORS, AS WELL AS ANY PRIOR RECIPIENT, TO THE EXTENT PERMITTED BY LAW. RECIPIENT'S SOLE REMEDY FOR ANY SUCH MATTER SHALL BE THE IMMEDIATE, UNILATERAL TERMINATION OF THIS AGREEMENT.
* * * * * * * * * * * * * * | 5,422 | [
[
-0.031494140625,
-0.050018310546875,
0.05047607421875,
0.041351318359375,
-0.017059326171875,
-0.0234375,
-0.003757476806640625,
-0.01078033447265625,
0.00992584228515625,
0.055755615234375,
-0.057159423828125,
-0.044097900390625,
-0.040496826171875,
-0.007007598876953125,
-0.0240020751953125,
0.060760498046875,
-0.01007080078125,
-0.006443023681640625,
-0.0287322998046875,
0.0015707015991210938,
-0.037750244140625,
-0.0231170654296875,
-0.01727294921875,
-0.023284912109375,
0.00879669189453125,
0.02838134765625,
0.053558349609375,
0.0231475830078125,
0.058807373046875,
0.0248565673828125,
-0.00406646728515625,
-0.0026149749755859375,
-0.0150909423828125,
-0.0046539306640625,
-0.00868988037109375,
-0.028411865234375,
-0.0205841064453125,
0.005290985107421875,
0.038726806640625,
0.0278472900390625,
-0.025482177734375,
0.028045654296875,
-0.0004277229309082031,
0.054046630859375,
-0.035125732421875,
0.028411865234375,
-0.05633544921875,
0.01080322265625,
-0.004802703857421875,
-0.01483917236328125,
-0.03668212890625,
-0.0240478515625,
0.01296234130859375,
-0.057830810546875,
0.0073699951171875,
0.0276947021484375,
0.09521484375,
0.041778564453125,
-0.0302886962890625,
-0.0246124267578125,
-0.0279388427734375,
0.058441162109375,
-0.075927734375,
0.025299072265625,
0.027435302734375,
0.0247802734375,
-0.026214599609375,
-0.070068359375,
-0.051300048828125,
-0.0258331298828125,
-0.0261688232421875,
0.0216522216796875,
-0.0184326171875,
0.0156097412109375,
0.027099609375,
0.0209808349609375,
-0.07073974609375,
-0.004791259765625,
-0.046356201171875,
-0.020294189453125,
0.0526123046875,
0.0121612548828125,
0.0262451171875,
-0.05072021484375,
-0.04339599609375,
-0.00550079345703125,
-0.041595458984375,
0.0087127685546875,
0.030242919921875,
0.01509857177734375,
-0.007720947265625,
0.0640869140625,
-0.010467529296875,
0.037689208984375,
-0.0202484130859375,
0.00728607177734375,
0.037139892578125,
-0.018218994140625,
-0.028656005859375,
-0.00726318359375,
0.08001708984375,
0.0099334716796875,
0.0005884170532226562,
-0.0113677978515625,
-0.0218658447265625,
-0.0018405914306640625,
0.038421630859375,
-0.044952392578125,
-0.0176544189453125,
0.0123138427734375,
-0.0506591796875,
-0.00565338134765625,
0.02288818359375,
-0.046356201171875,
-0.00560760498046875,
-0.0243377685546875,
0.062744140625,
-0.04296875,
-0.0008478164672851562,
0.01000213623046875,
-0.0286102294921875,
0.0268402099609375,
-0.0195159912109375,
-0.03204345703125,
0.0238494873046875,
0.0374755859375,
0.055419921875,
0.009033203125,
-0.02734375,
-0.01372528076171875,
-0.0028781890869140625,
-0.010223388671875,
0.039886474609375,
-0.0261688232421875,
-0.03802490234375,
-0.01146697998046875,
0.006328582763671875,
-0.028289794921875,
-0.036376953125,
0.05712890625,
-0.044281005859375,
0.046722412109375,
0.005084991455078125,
-0.04559326171875,
-0.0269927978515625,
0.0092010498046875,
-0.0294647216796875,
0.0889892578125,
0.0228424072265625,
-0.06195068359375,
0.0135040283203125,
-0.07440185546875,
-0.0189056396484375,
-0.004253387451171875,
-0.0167694091796875,
-0.04754638671875,
0.00024771690368652344,
0.005489349365234375,
0.0213623046875,
-0.017547607421875,
0.03448486328125,
-0.012725830078125,
-0.030731201171875,
-0.0006003379821777344,
-0.01053619384765625,
0.08282470703125,
0.025543212890625,
-0.03619384765625,
0.0209503173828125,
-0.049957275390625,
0.01149749755859375,
0.0179595947265625,
-0.041839599609375,
-0.022308349609375,
0.003742218017578125,
0.01126861572265625,
0.0286407470703125,
0.029754638671875,
-0.058349609375,
0.0127410888671875,
-0.05029296875,
0.026611328125,
0.05047607421875,
0.004177093505859375,
0.029937744140625,
-0.020538330078125,
0.03411865234375,
0.0049896240234375,
0.026031494140625,
0.01065826416015625,
-0.03973388671875,
-0.060333251953125,
-0.005096435546875,
0.007587432861328125,
0.054107666015625,
-0.059722900390625,
0.05224609375,
-0.035919189453125,
-0.03802490234375,
-0.058380126953125,
-0.004581451416015625,
0.0275115966796875,
0.039794921875,
0.04730224609375,
0.0038394927978515625,
-0.047882080078125,
-0.0902099609375,
-0.0203857421875,
-0.00785064697265625,
-0.01332855224609375,
0.03179931640625,
0.05126953125,
-0.036468505859375,
0.08465576171875,
-0.066650390625,
-0.044525146484375,
-0.018157958984375,
0.0250091552734375,
0.03802490234375,
0.037506103515625,
0.053375244140625,
-0.07354736328125,
-0.04315185546875,
-0.0304718017578125,
-0.0487060546875,
-0.00487518310546875,
-0.00691986083984375,
-0.0176239013671875,
0.0165863037109375,
0.03179931640625,
-0.057037353515625,
0.041351318359375,
0.03228759765625,
-0.04669189453125,
0.04046630859375,
-0.031524658203125,
0.007152557373046875,
-0.0997314453125,
0.0186004638671875,
-0.0148162841796875,
-0.0009918212890625,
-0.026336669921875,
0.00803375244140625,
0.008941650390625,
-0.0158843994140625,
-0.0229644775390625,
0.023223876953125,
-0.033966064453125,
-0.0015201568603515625,
-0.01531982421875,
0.0238189697265625,
0.00159454345703125,
0.04840087890625,
-0.0242462158203125,
0.06805419921875,
0.022674560546875,
-0.053680419921875,
0.01312255859375,
0.05126953125,
-0.03387451171875,
0.0227813720703125,
-0.06256103515625,
-0.00307464599609375,
-0.034027099609375,
-0.0009665489196777344,
-0.06805419921875,
0.00632476806640625,
0.018798828125,
-0.0550537109375,
0.0091400146484375,
0.01166534423828125,
-0.046173095703125,
-0.045654296875,
-0.03082275390625,
-0.01326751708984375,
0.037506103515625,
-0.034942626953125,
0.0535888671875,
0.0264892578125,
-0.010833740234375,
-0.04791259765625,
-0.06878662109375,
-0.0019817352294921875,
-0.00873565673828125,
-0.0589599609375,
0.04974365234375,
-0.0167999267578125,
-0.005039215087890625,
0.0283355712890625,
-0.00018405914306640625,
-0.0163726806640625,
0.00592041015625,
0.01343536376953125,
0.0268402099609375,
-0.008819580078125,
0.00946807861328125,
0.0030498504638671875,
-0.01204681396484375,
0.013763427734375,
-0.007080078125,
0.0491943359375,
0.007152557373046875,
-0.0178985595703125,
-0.01242828369140625,
0.036468505859375,
0.0386962890625,
-0.01568603515625,
0.061553955078125,
0.055511474609375,
-0.0276031494140625,
0.0028171539306640625,
-0.043182373046875,
-0.00806427001953125,
-0.038726806640625,
0.037353515625,
-0.0286102294921875,
-0.049560546875,
0.0289764404296875,
0.0234222412109375,
0.01192474365234375,
0.059112548828125,
0.016021728515625,
-0.007720947265625,
0.057861328125,
0.0645751953125,
-0.0165863037109375,
0.042633056640625,
-0.02813720703125,
0.02032470703125,
-0.07958984375,
-0.0305633544921875,
-0.048004150390625,
-0.0204315185546875,
-0.052215576171875,
-0.01470184326171875,
0.0335693359375,
-0.019866943359375,
-0.042205810546875,
0.05059814453125,
-0.04730224609375,
0.011627197265625,
0.055206298828125,
0.00984954833984375,
0.0041046142578125,
-0.01415252685546875,
-0.0211334228515625,
-0.0117340087890625,
-0.043975830078125,
-0.031463623046875,
0.055389404296875,
0.0206756591796875,
0.050567626953125,
0.0211181640625,
0.047821044921875,
0.01432037353515625,
0.003021240234375,
-0.05804443359375,
0.052032470703125,
-0.0136871337890625,
-0.050262451171875,
-0.023651123046875,
-0.052581787109375,
-0.07196044921875,
0.0229949951171875,
-0.006443023681640625,
-0.0645751953125,
0.0174560546875,
-0.01113128662109375,
-0.0155029296875,
0.01200103759765625,
-0.057647705078125,
0.072998046875,
-0.010650634765625,
0.00897979736328125,
-0.0230712890625,
-0.06756591796875,
0.0150299072265625,
0.01580810546875,
-0.0012826919555664062,
-0.0158843994140625,
-0.01244354248046875,
0.06195068359375,
-0.031951904296875,
0.041748046875,
-0.0262603759765625,
0.0276031494140625,
0.01029205322265625,
-0.01041412353515625,
0.02935791015625,
-0.018310546875,
-0.0160064697265625,
0.0017070770263671875,
0.005306243896484375,
-0.01395416259765625,
-0.04351806640625,
0.051025390625,
-0.066162109375,
-0.040283203125,
-0.030120849609375,
-0.04425048828125,
-0.0006489753723144531,
0.0306243896484375,
0.036956787109375,
0.020538330078125,
0.00730133056640625,
0.03912353515625,
0.042449951171875,
-0.0390625,
0.03851318359375,
0.050994873046875,
-0.004364013671875,
-0.03466796875,
0.05712890625,
0.02105712890625,
0.0015020370483398438,
0.046142578125,
0.01175689697265625,
-0.039794921875,
-0.02716064453125,
-0.009674072265625,
0.0243988037109375,
-0.042205810546875,
-0.033843994140625,
-0.057647705078125,
-0.032073974609375,
-0.0406494140625,
0.009063720703125,
-0.01253509521484375,
-0.0269927978515625,
-0.033538818359375,
-0.0008478164672851562,
0.0243072509765625,
0.047607421875,
0.0200958251953125,
0.02252197265625,
-0.05889892578125,
0.0200042724609375,
-0.009490966796875,
0.035308837890625,
-0.0229034423828125,
-0.049774169921875,
-0.01131439208984375,
-0.0063018798828125,
-0.044036865234375,
-0.07293701171875,
0.039581298828125,
0.0176849365234375,
0.066162109375,
0.0015993118286132812,
0.0269622802734375,
0.04656982421875,
-0.042572021484375,
0.067626953125,
-0.00030231475830078125,
-0.06744384765625,
0.054290771484375,
-0.0157012939453125,
0.033935546875,
0.04327392578125,
0.043121337890625,
-0.037078857421875,
-0.02581787109375,
-0.06280517578125,
-0.0833740234375,
0.058929443359375,
0.032684326171875,
0.0024089813232421875,
0.01143646240234375,
0.023773193359375,
-0.027862548828125,
0.0284881591796875,
-0.05859375,
-0.029144287109375,
-0.01229095458984375,
-0.03558349609375,
0.004291534423828125,
-0.020782470703125,
0.006931304931640625,
-0.004390716552734375,
0.08013916015625,
0.0038604736328125,
0.053558349609375,
0.0302886962890625,
-0.0230255126953125,
0.00955963134765625,
0.035369873046875,
0.04046630859375,
0.04150390625,
-0.01837158203125,
-0.0072174072265625,
0.016510009765625,
-0.04498291015625,
-0.00719451904296875,
0.03900146484375,
-0.0167694091796875,
0.01114654541015625,
0.0015544891357421875,
0.054931640625,
0.0224609375,
-0.03656005859375,
0.048492431640625,
-0.0006079673767089844,
-0.019989013671875,
-0.047607421875,
-0.01100921630859375,
-0.00057220458984375,
0.028350830078125,
0.033355712890625,
0.004192352294921875,
0.033538818359375,
-0.021209716796875,
0.0214080810546875,
0.030029296875,
-0.029510498046875,
0.005413055419921875,
0.0555419921875,
-0.0126953125,
-0.0175933837890625,
0.067626953125,
-0.01442718505859375,
-0.040802001953125,
0.05133056640625,
0.03961181640625,
0.06951904296875,
-0.0023651123046875,
0.0161895751953125,
0.0269927978515625,
0.04681396484375,
0.00836944580078125,
0.035980224609375,
0.00445556640625,
-0.044219970703125,
-0.01654052734375,
-0.0389404296875,
-0.01239776611328125,
0.0027866363525390625,
-0.04791259765625,
0.020843505859375,
-0.0197906494140625,
-0.02069091796875,
-0.0224609375,
0.0122222900390625,
-0.047454833984375,
0.01226806640625,
-0.01375579833984375,
0.0819091796875,
-0.047027587890625,
0.045501708984375,
0.068603515625,
-0.060699462890625,
-0.07391357421875,
0.007175445556640625,
-0.0063934326171875,
-0.04736328125,
0.046905517578125,
0.010345458984375,
0.00801849365234375,
0.004276275634765625,
-0.0287933349609375,
-0.0721435546875,
0.10858154296875,
0.03082275390625,
-0.02520751953125,
-0.01523590087890625,
0.0099945068359375,
0.029541015625,
-0.007572174072265625,
0.023651123046875,
0.0357666015625,
0.0386962890625,
0.0005407333374023438,
-0.0789794921875,
0.01535797119140625,
-0.019439697265625,
0.0159454345703125,
0.012176513671875,
-0.043212890625,
0.059539794921875,
-0.0003554821014404297,
-0.0155029296875,
0.01030731201171875,
0.058074951171875,
0.0169525146484375,
0.00885772705078125,
0.026519775390625,
0.050445556640625,
0.0489501953125,
-0.0200347900390625,
0.066162109375,
-0.0253753662109375,
0.05694580078125,
0.07275390625,
0.01409912109375,
0.0789794921875,
0.0413818359375,
-0.02056884765625,
0.05126953125,
0.038848876953125,
-0.006053924560546875,
0.048797607421875,
0.0114898681640625,
0.0002646446228027344,
0.004459381103515625,
0.0014600753784179688,
-0.0260772705078125,
0.01666259765625,
0.01261138916015625,
-0.040985107421875,
-0.01161956787109375,
0.005878448486328125,
0.0012493133544921875,
0.005535125732421875,
-0.003063201904296875,
0.05340576171875,
0.01122283935546875,
-0.037200927734375,
0.019073486328125,
0.006267547607421875,
0.058746337890625,
-0.060943603515625,
0.0022716522216796875,
-0.0014448165893554688,
0.021942138671875,
-0.0251007080078125,
-0.060577392578125,
0.0399169921875,
-0.0166778564453125,
-0.0235137939453125,
-0.016357421875,
0.051025390625,
-0.0196533203125,
-0.03289794921875,
0.0227203369140625,
0.0095062255859375,
0.00518798828125,
-0.01055908203125,
-0.07110595703125,
-0.0016736984252929688,
0.00536346435546875,
-0.033782958984375,
0.00373077392578125,
0.01531219482421875,
0.0287933349609375,
0.05560302734375,
0.0238189697265625,
-0.002033233642578125,
0.005153656005859375,
0.0007610321044921875,
0.07427978515625,
-0.0528564453125,
-0.046173095703125,
-0.050750732421875,
0.051849365234375,
-0.0209197998046875,
-0.0201416015625,
0.06048583984375,
0.056060791015625,
0.05474853515625,
-0.022491455078125,
0.0526123046875,
-0.0284881591796875,
0.038848876953125,
-0.041900634765625,
0.06500244140625,
-0.052947998046875,
0.0136871337890625,
-0.0295562744140625,
-0.0740966796875,
-0.0150146484375,
0.0538330078125,
-0.033355712890625,
0.00080108642578125,
0.05517578125,
0.0716552734375,
-0.01131439208984375,
-0.00501251220703125,
0.0179901123046875,
0.0233306884765625,
0.0299224853515625,
0.031890869140625,
0.042724609375,
-0.05645751953125,
0.062469482421875,
-0.01546478271484375,
-0.00728607177734375,
-0.0119476318359375,
-0.04730224609375,
-0.050384521484375,
-0.052947998046875,
-0.015533447265625,
-0.0174713134765625,
-0.0131988525390625,
0.09014892578125,
0.043212890625,
-0.046905517578125,
-0.009765625,
-0.00774383544921875,
0.00738525390625,
-0.00003898143768310547,
-0.0286712646484375,
0.0214996337890625,
-0.043304443359375,
-0.040374755859375,
0.035736083984375,
0.004425048828125,
-0.002925872802734375,
-0.0190582275390625,
0.00005620718002319336,
-0.031463623046875,
0.005466461181640625,
0.04156494140625,
0.00138092041015625,
-0.045684814453125,
-0.0228424072265625,
0.013763427734375,
-0.022308349609375,
-0.00208282470703125,
0.045257568359375,
-0.04669189453125,
0.0204010009765625,
0.06488037109375,
0.040985107421875,
0.04595947265625,
-0.005748748779296875,
0.032196044921875,
-0.06488037109375,
0.0065765380859375,
0.0257415771484375,
0.040802001953125,
0.01459503173828125,
-0.04461669921875,
0.040863037109375,
0.00955963134765625,
-0.0582275390625,
-0.0382080078125,
0.00446319580078125,
-0.073974609375,
-0.021331787109375,
0.07318115234375,
-0.00995635986328125,
-0.01412200927734375,
0.001110076904296875,
-0.035247802734375,
0.01248931884765625,
-0.029571533203125,
0.05096435546875,
0.04254150390625,
-0.022735595703125,
-0.00432586669921875,
-0.04736328125,
0.018218994140625,
0.022735595703125,
-0.05419921875,
-0.031768798828125,
0.029449462890625,
0.0293121337890625,
0.028106689453125,
0.042449951171875,
-0.00977325439453125,
0.0122833251953125,
-0.0085906982421875,
0.0150909423828125,
-0.00707244873046875,
-0.006267547607421875,
-0.0159759521484375,
0.004093170166015625,
-0.01044464111328125,
-0.0299530029296875
]
] |
sobomax/speecht5-rt.post_vocoder.v1 | 2023-09-27T15:00:12.000Z | [
"transformers",
"pytorch",
"tts",
"real-time",
"vocoder",
"license:bsd-2-clause",
"endpoints_compatible",
"region:us"
] | null | sobomax | null | null | sobomax/speecht5-rt.post_vocoder.v1 | 1 | 2 | transformers | 2023-09-26T20:36:23 | ---
license: bsd-2-clause
tags:
- tts
- real-time
- vocoder
library_name: transformers
---
# HelloSippyRT PostVocoder
## Introduction
The HelloSippyRT model is designed to adapt Microsoft's SpeechT5 Text-to-Speech (TTS) for real-time scenarios.
## Problem Statement
The original vocoder performs optimally only when provided with almost the full Mel sequence produced from the single
text input at once. This is not ideal for real-time applications, where we aim to begin audio output quickly.
Using smaller chunks results in "clicking" distortions between adjacent audio frames.
Fine-tuning attempts on Microsoft's HiFiGAN vocoder were unsuccessful.
## Solution
Our approach involves a smaller model that takes a fixed audio chunk of 8 Mel frames, two pre-frames, and two post-frames.
These frames are processed along with the original vocoder's 12 audio frames of 256 bytes each. The model employs
convolution input layers for both audio and Mel frames to generate hidden dimensions, followed by linear layer and
a final convolution layer. The output is then multiplied with the original 8 audio frames to produce corrected frames.
## Training Details
We trained the model using a subset of 3,000 audio utterances from the `LJSpeech-1.1` dataset. The SpeechT5's Speech-To-Speech
module was employed to replace voice in each utterance with a voice of speakers randomly selected from the
`Matthijs/cmu-arctic-xvectors` dataset. Such produced reference Mel spectrum were used to feed vocoder and post-vocoder
in chunks. The FFT of generated in "continuous" mode reference waveform was used as a basis for loss-function calculation.
During training, the original vocoder was locked; only our model was trained to mimic the original vocoder as closely as
possible in continuous mode.
## Evaluation
The model has been evaluated by producing TTS output from pure text input using quotes from the "Futurama", "Martix" and
"Space Odyssey 2001" retrieved from the wikiquotes site using purely random speaker vector as well as vectors from the
`Matthijs/cmu-arctic-xvectors` dataset. The quality of output has been found satisfactory for our particular
use.
## Source Code & Links
* [HelloSippyRT on GitHub](https://github.com/sippy/Infernos.git)
* [Training Code Repository](https://github.com/sobomax/hifi-gan-lsr-rt.git)
---
**License**: BSD-2-Clause
**Library**: Transformers | 2,572 | [
[
-0.04046630859375,
-0.052459716796875,
0.0084075927734375,
0.00920867919921875,
-0.035919189453125,
-0.01203155517578125,
-0.014617919921875,
-0.03253173828125,
0.0219879150390625,
0.0345458984375,
-0.046966552734375,
-0.0281982421875,
-0.046051025390625,
0.0010194778442382812,
-0.0204315185546875,
0.09112548828125,
0.029510498046875,
0.01531982421875,
-0.0036144256591796875,
-0.004924774169921875,
-0.034332275390625,
-0.050262451171875,
-0.050506591796875,
-0.0151824951171875,
0.01983642578125,
0.02581787109375,
0.043426513671875,
0.026214599609375,
0.02685546875,
0.01262664794921875,
-0.0305938720703125,
-0.0006837844848632812,
-0.0576171875,
0.005161285400390625,
0.01580810546875,
-0.032623291015625,
-0.02880859375,
-0.02105712890625,
0.05029296875,
0.009368896484375,
-0.0251617431640625,
0.0212249755859375,
0.0137481689453125,
0.018798828125,
-0.039398193359375,
-0.0019683837890625,
-0.044830322265625,
0.009857177734375,
-0.003490447998046875,
-0.02362060546875,
-0.031494140625,
-0.038543701171875,
-0.0015077590942382812,
-0.04449462890625,
0.0038509368896484375,
-0.004261016845703125,
0.068359375,
0.0292816162109375,
-0.01445770263671875,
-0.00975799560546875,
-0.08563232421875,
0.040924072265625,
-0.06219482421875,
0.050567626953125,
0.01232147216796875,
0.0347900390625,
0.004840850830078125,
-0.06494140625,
-0.05670166015625,
-0.0166778564453125,
0.0205230712890625,
0.012115478515625,
-0.01934814453125,
0.007434844970703125,
0.031219482421875,
0.0181121826171875,
-0.0621337890625,
-0.0061492919921875,
-0.036956787109375,
-0.031768798828125,
0.036529541015625,
-0.0003521442413330078,
0.00946044921875,
-0.034088134765625,
-0.040679931640625,
-0.01444244384765625,
-0.0297088623046875,
0.0191802978515625,
0.0240631103515625,
0.00249481201171875,
-0.030914306640625,
0.03643798828125,
0.0014276504516601562,
0.037933349609375,
0.010894775390625,
-0.024200439453125,
0.0306854248046875,
-0.0301666259765625,
-0.0147552490234375,
0.0178070068359375,
0.0706787109375,
0.0175018310546875,
0.0305938720703125,
0.006801605224609375,
-0.01605224609375,
0.015350341796875,
0.0251312255859375,
-0.0697021484375,
-0.0212860107421875,
0.00649261474609375,
-0.0235137939453125,
-0.01654052734375,
0.00940704345703125,
-0.041656494140625,
0.02215576171875,
-0.02899169921875,
0.059600830078125,
-0.05804443359375,
-0.0269317626953125,
0.0037975311279296875,
-0.0184478759765625,
0.0102691650390625,
0.0084991455078125,
-0.05712890625,
0.0196075439453125,
0.0282745361328125,
0.05108642578125,
0.00699615478515625,
-0.01522064208984375,
-0.0509033203125,
-0.0038509368896484375,
-0.00318145751953125,
0.04522705078125,
-0.02630615234375,
-0.04937744140625,
-0.0307464599609375,
-0.005947113037109375,
-0.002765655517578125,
-0.0386962890625,
0.03570556640625,
-0.03558349609375,
0.0100250244140625,
-0.01058197021484375,
-0.032470703125,
0.0100860595703125,
0.0005931854248046875,
-0.021270751953125,
0.088623046875,
0.003139495849609375,
-0.049530029296875,
0.01253509521484375,
-0.05615234375,
-0.0253753662109375,
-0.0004227161407470703,
-0.002025604248046875,
-0.049530029296875,
-0.002162933349609375,
0.006282806396484375,
0.024505615234375,
0.007633209228515625,
0.01013946533203125,
-0.01390838623046875,
-0.051025390625,
0.0285491943359375,
-0.057525634765625,
0.0689697265625,
0.037933349609375,
-0.036712646484375,
0.01174163818359375,
-0.0677490234375,
-0.00527191162109375,
0.00951385498046875,
-0.03515625,
-0.00849151611328125,
-0.01194000244140625,
0.0288848876953125,
0.0101470947265625,
0.0033664703369140625,
-0.059844970703125,
0.0040130615234375,
-0.041412353515625,
0.036285400390625,
0.036529541015625,
0.0166015625,
0.0138397216796875,
-0.0200042724609375,
0.04693603515625,
0.004695892333984375,
0.0328369140625,
-0.01953125,
-0.04302978515625,
-0.044830322265625,
-0.02349853515625,
0.027740478515625,
0.04840087890625,
-0.05804443359375,
0.0399169921875,
-0.0345458984375,
-0.04327392578125,
-0.0546875,
-0.0211944580078125,
0.0367431640625,
0.0257568359375,
0.033935546875,
-0.0297088623046875,
-0.056976318359375,
-0.0457763671875,
0.01219940185546875,
-0.00540924072265625,
-0.0237579345703125,
0.016387939453125,
0.0235137939453125,
-0.0265045166015625,
0.07867431640625,
-0.02557373046875,
-0.00133514404296875,
-0.004383087158203125,
0.01427459716796875,
-0.005184173583984375,
0.0411376953125,
0.048858642578125,
-0.044677734375,
-0.029083251953125,
-0.01323699951171875,
-0.0372314453125,
0.0022983551025390625,
0.0018892288208007812,
0.007293701171875,
0.0003616809844970703,
0.0341796875,
-0.050018310546875,
0.04345703125,
0.039215087890625,
-0.019012451171875,
0.06494140625,
-0.00994873046875,
0.0123443603515625,
-0.094482421875,
-0.0005502700805664062,
-0.023406982421875,
-0.03302001953125,
-0.03631591796875,
-0.0181884765625,
-0.00565338134765625,
-0.039276123046875,
-0.06536865234375,
0.016265869140625,
-0.02825927734375,
-0.0210723876953125,
-0.0096435546875,
0.003459930419921875,
-0.0016603469848632812,
0.053466796875,
-0.022186279296875,
0.08984375,
0.025726318359375,
-0.050323486328125,
0.040313720703125,
0.033203125,
-0.0138397216796875,
0.04876708984375,
-0.064208984375,
0.008880615234375,
-0.0221405029296875,
0.0179290771484375,
-0.08831787109375,
0.0030498504638671875,
0.01537322998046875,
-0.06549072265625,
0.0228424072265625,
-0.024017333984375,
-0.03131103515625,
-0.03173828125,
-0.005237579345703125,
0.0286712646484375,
0.06903076171875,
-0.038665771484375,
0.00685882568359375,
0.026641845703125,
-0.0167083740234375,
-0.015350341796875,
-0.06072998046875,
0.00884246826171875,
-0.0008435249328613281,
-0.04449462890625,
0.03973388671875,
-0.022705078125,
0.0192108154296875,
-0.001800537109375,
0.0032176971435546875,
0.003910064697265625,
-0.0209808349609375,
0.0227508544921875,
0.011260986328125,
-0.034088134765625,
-0.0134735107421875,
-0.0024509429931640625,
-0.02630615234375,
-0.00212860107421875,
-0.025909423828125,
0.043121337890625,
-0.00608062744140625,
-0.030914306640625,
-0.0548095703125,
0.02099609375,
0.0675048828125,
-0.0310516357421875,
0.046417236328125,
0.07598876953125,
-0.0202789306640625,
0.00559234619140625,
-0.033203125,
-0.0167083740234375,
-0.0360107421875,
0.0265045166015625,
-0.0269012451171875,
-0.06451416015625,
0.035980224609375,
0.0214691162109375,
-0.0027923583984375,
0.038360595703125,
0.027618408203125,
-0.0163116455078125,
0.07012939453125,
0.032135009765625,
0.00788116455078125,
0.043914794921875,
-0.04302978515625,
0.02069091796875,
-0.059234619140625,
-0.031097412109375,
-0.037261962890625,
-0.00720977783203125,
-0.036285400390625,
-0.0225677490234375,
0.0509033203125,
-0.002376556396484375,
-0.006824493408203125,
0.04766845703125,
-0.056915283203125,
0.015869140625,
0.0465087890625,
0.00983428955078125,
-0.0035076141357421875,
0.0123748779296875,
-0.02667236328125,
-0.021087646484375,
-0.067626953125,
-0.03338623046875,
0.07220458984375,
0.043060302734375,
0.0606689453125,
0.0136871337890625,
0.051910400390625,
0.0240631103515625,
0.002422332763671875,
-0.044342041015625,
0.04229736328125,
-0.021148681640625,
-0.032745361328125,
-0.035247802734375,
-0.02734375,
-0.06536865234375,
0.007762908935546875,
-0.031097412109375,
-0.044525146484375,
0.01043701171875,
0.016876220703125,
-0.0546875,
0.029449462890625,
-0.057525634765625,
0.0662841796875,
-0.00004786252975463867,
-0.0180816650390625,
-0.0038127899169921875,
-0.0699462890625,
0.0260162353515625,
0.0250396728515625,
0.0064544677734375,
-0.0008730888366699219,
0.03778076171875,
0.06732177734375,
-0.04058837890625,
0.06610107421875,
-0.0286712646484375,
0.00969696044921875,
0.035888671875,
-0.0166778564453125,
0.02801513671875,
-0.004215240478515625,
-0.007038116455078125,
0.0150909423828125,
0.046295166015625,
-0.02239990234375,
-0.0304718017578125,
0.04156494140625,
-0.0777587890625,
-0.0009737014770507812,
-0.015655517578125,
-0.007686614990234375,
-0.00496673583984375,
-0.0007748603820800781,
0.058563232421875,
0.06231689453125,
-0.029510498046875,
0.03216552734375,
0.06109619140625,
-0.008544921875,
0.0419921875,
0.016815185546875,
-0.0169830322265625,
-0.048797607421875,
0.078857421875,
0.01343536376953125,
0.031280517578125,
0.01873779296875,
0.003841400146484375,
-0.0303802490234375,
-0.032806396484375,
-0.0341796875,
0.01471710205078125,
-0.029510498046875,
-0.01549530029296875,
-0.0439453125,
-0.05181884765625,
-0.052459716796875,
0.0108642578125,
-0.04754638671875,
-0.0186309814453125,
-0.048095703125,
0.006488800048828125,
0.0207977294921875,
0.045684814453125,
0.005588531494140625,
0.054229736328125,
-0.0762939453125,
0.03973388671875,
0.0309600830078125,
0.0217132568359375,
-0.01227569580078125,
-0.068359375,
-0.0263824462890625,
0.028106689453125,
-0.029052734375,
-0.07391357421875,
0.0265655517578125,
0.0120697021484375,
0.04034423828125,
0.037567138671875,
0.01464080810546875,
0.055328369140625,
-0.0400390625,
0.0771484375,
0.0302734375,
-0.058563232421875,
0.033477783203125,
-0.022705078125,
0.046417236328125,
0.031951904296875,
0.009918212890625,
-0.04437255859375,
-0.0244903564453125,
-0.053985595703125,
-0.0428466796875,
0.04541015625,
0.046478271484375,
0.01800537109375,
0.0018472671508789062,
0.0233001708984375,
0.0016794204711914062,
0.011566162109375,
-0.05157470703125,
-0.024200439453125,
-0.050262451171875,
-0.01983642578125,
-0.01971435546875,
-0.043792724609375,
0.019287109375,
-0.031005859375,
0.043182373046875,
0.01099395751953125,
0.0645751953125,
0.0290679931640625,
-0.01122283935546875,
-0.007686614990234375,
0.0343017578125,
0.07318115234375,
0.0269012451171875,
-0.02215576171875,
0.013946533203125,
0.007595062255859375,
-0.048797607421875,
0.004913330078125,
0.00675201416015625,
-0.00800323486328125,
0.02984619140625,
0.0136260986328125,
0.09930419921875,
0.036590576171875,
-0.031158447265625,
0.0592041015625,
-0.0089263916015625,
-0.03216552734375,
-0.044281005859375,
0.01548004150390625,
0.0064849853515625,
0.00445556640625,
0.023345947265625,
0.036956787109375,
0.0029449462890625,
-0.025238037109375,
0.03570556640625,
0.0233001708984375,
-0.034271240234375,
-0.039306640625,
0.08038330078125,
0.022247314453125,
-0.0537109375,
0.035797119140625,
-0.0225830078125,
-0.04046630859375,
0.038665771484375,
0.053009033203125,
0.0740966796875,
-0.05181884765625,
0.005039215087890625,
0.03240966796875,
0.02069091796875,
0.0208282470703125,
0.02996826171875,
-0.016998291015625,
-0.03765869140625,
-0.02099609375,
-0.0645751953125,
-0.0204620361328125,
0.00893402099609375,
-0.052734375,
0.0308685302734375,
-0.03131103515625,
-0.032806396484375,
-0.00811767578125,
-0.0313720703125,
-0.04949951171875,
0.032012939453125,
0.01227569580078125,
0.059234619140625,
-0.05474853515625,
0.07421875,
0.0281982421875,
-0.031219482421875,
-0.05902099609375,
0.01058197021484375,
-0.011444091796875,
-0.053314208984375,
0.013946533203125,
0.0008845329284667969,
-0.020172119140625,
0.0166778564453125,
-0.0372314453125,
-0.063232421875,
0.0716552734375,
0.0308685302734375,
-0.05908203125,
-0.00994110107421875,
0.01329803466796875,
0.0341796875,
-0.018585205078125,
0.015869140625,
0.0260162353515625,
0.01311492919921875,
0.0306396484375,
-0.08380126953125,
-0.02752685546875,
-0.023468017578125,
0.00872802734375,
-0.0010747909545898438,
-0.033203125,
0.039581298828125,
-0.0157928466796875,
0.0040435791015625,
-0.0011796951293945312,
0.0533447265625,
0.020904541015625,
0.0215301513671875,
0.044525146484375,
0.033203125,
0.02752685546875,
0.0011730194091796875,
0.059478759765625,
-0.03173828125,
0.0364990234375,
0.06768798828125,
0.01593017578125,
0.0887451171875,
0.046051025390625,
-0.032623291015625,
0.020477294921875,
0.042572021484375,
0.00991058349609375,
0.055267333984375,
-0.0003986358642578125,
-0.0168914794921875,
0.005214691162109375,
0.0095367431640625,
-0.049774169921875,
0.0316162109375,
0.0205230712890625,
-0.00536346435546875,
0.01116943359375,
0.04052734375,
-0.0004489421844482422,
-0.01934814453125,
-0.002643585205078125,
0.0640869140625,
0.0015697479248046875,
-0.038482666015625,
0.08135986328125,
0.006748199462890625,
0.0654296875,
-0.0556640625,
0.00838470458984375,
-0.003177642822265625,
0.0016813278198242188,
-0.01262664794921875,
-0.04010009765625,
0.05181884765625,
0.0053863525390625,
-0.006397247314453125,
-0.0176239013671875,
0.0330810546875,
-0.04229736328125,
-0.027008056640625,
0.01537322998046875,
-0.0031986236572265625,
0.01763916015625,
0.000835418701171875,
-0.04132080078125,
0.025726318359375,
0.0189666748046875,
-0.01103973388671875,
-0.0032062530517578125,
0.0205230712890625,
0.03497314453125,
0.0281219482421875,
0.05511474609375,
0.001697540283203125,
0.0255584716796875,
0.008087158203125,
0.05133056640625,
-0.040557861328125,
-0.080078125,
-0.042633056640625,
0.059234619140625,
0.014617919921875,
-0.026275634765625,
0.049285888671875,
0.052947998046875,
0.052093505859375,
-0.0200653076171875,
0.05938720703125,
0.01708984375,
0.048126220703125,
-0.05126953125,
0.05889892578125,
-0.048492431640625,
0.029693603515625,
-0.029144287109375,
-0.07208251953125,
-0.0035247802734375,
0.038970947265625,
-0.01021575927734375,
0.0037403106689453125,
0.041259765625,
0.06671142578125,
-0.0288238525390625,
0.006778717041015625,
0.045379638671875,
0.0281982421875,
0.01187896728515625,
0.0267486572265625,
0.046051025390625,
-0.05120849609375,
0.0675048828125,
-0.00942230224609375,
-0.014923095703125,
-0.04046630859375,
-0.0270538330078125,
-0.052276611328125,
-0.041961669921875,
-0.0300750732421875,
-0.0296478271484375,
0.0248260498046875,
0.06304931640625,
0.077880859375,
-0.055328369140625,
-0.0090179443359375,
-0.00023937225341796875,
-0.0218963623046875,
-0.00604248046875,
-0.022186279296875,
0.00321197509765625,
0.0007801055908203125,
-0.036163330078125,
0.0355224609375,
0.0167999267578125,
0.037689208984375,
-0.0224151611328125,
-0.02874755859375,
0.00013744831085205078,
0.014556884765625,
0.050048828125,
0.0236053466796875,
-0.060882568359375,
-0.039093017578125,
0.007579803466796875,
-0.01433563232421875,
0.0268096923828125,
0.03607177734375,
-0.0399169921875,
0.03326416015625,
0.037567138671875,
0.02752685546875,
0.08319091796875,
-0.00428009033203125,
0.0208587646484375,
-0.06494140625,
0.0196685791015625,
0.0155487060546875,
0.00933837890625,
0.0238800048828125,
-0.0279388427734375,
-0.007167816162109375,
0.036590576171875,
-0.04559326171875,
-0.051513671875,
0.0055999755859375,
-0.08453369140625,
-0.0139312744140625,
0.0836181640625,
0.0033550262451171875,
-0.010101318359375,
-0.00678253173828125,
-0.044097900390625,
0.03753662109375,
-0.0265045166015625,
0.032928466796875,
0.02001953125,
-0.007320404052734375,
-0.0310516357421875,
-0.03839111328125,
0.040557861328125,
0.0280303955078125,
-0.0421142578125,
-0.0209808349609375,
0.0276336669921875,
0.05023193359375,
0.00852203369140625,
0.06072998046875,
-0.004772186279296875,
0.0260467529296875,
0.0145416259765625,
0.0300750732421875,
-0.00833892822265625,
-0.0307464599609375,
-0.041259765625,
0.0296173095703125,
-0.0023555755615234375,
-0.059600830078125
]
] |
Schadom/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-26T21:06:39.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Schadom | null | null | Schadom/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-26T21:06:15 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 39.00 +/- 14.28
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga Schadom
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,751 | [
[
-0.04290771484375,
-0.039306640625,
0.0201568603515625,
0.02569580078125,
-0.01092529296875,
-0.0181732177734375,
0.01027679443359375,
-0.01245880126953125,
0.01306915283203125,
0.022918701171875,
-0.07098388671875,
-0.035003662109375,
-0.0251617431640625,
-0.003551483154296875,
-0.00109100341796875,
0.07537841796875,
-0.003509521484375,
0.00989532470703125,
-0.016082763671875,
-0.01528167724609375,
-0.02410888671875,
-0.0210113525390625,
-0.051422119140625,
-0.0318603515625,
0.011383056640625,
0.01091766357421875,
0.06195068359375,
0.0726318359375,
0.0399169921875,
0.027587890625,
-0.010009765625,
-0.00409698486328125,
-0.030242919921875,
-0.0034351348876953125,
0.0023212432861328125,
-0.0175933837890625,
-0.0273284912109375,
-0.01104736328125,
0.051849365234375,
0.005672454833984375,
-0.0181732177734375,
0.0196380615234375,
-0.0190887451171875,
0.0307464599609375,
-0.039886474609375,
0.03533935546875,
-0.00904083251953125,
0.033355712890625,
0.00341033935546875,
-0.01010894775390625,
0.003604888916015625,
-0.005092620849609375,
-0.0014820098876953125,
-0.0863037109375,
0.01360321044921875,
0.0037364959716796875,
0.1015625,
0.039337158203125,
-0.0206298828125,
0.009490966796875,
-0.045623779296875,
0.051666259765625,
-0.07000732421875,
0.037200927734375,
0.019561767578125,
0.032196044921875,
-0.01505279541015625,
-0.06793212890625,
-0.0335693359375,
-0.0174560546875,
0.005458831787109375,
0.0240631103515625,
-0.00838470458984375,
-0.002960205078125,
0.05419921875,
0.0035762786865234375,
-0.0452880859375,
0.0089111328125,
-0.036773681640625,
-0.01617431640625,
0.0307769775390625,
0.042449951171875,
0.0089111328125,
-0.01284027099609375,
-0.036376953125,
-0.041961669921875,
-0.0258941650390625,
0.033172607421875,
0.0137939453125,
0.01251983642578125,
-0.029052734375,
0.042724609375,
-0.036407470703125,
0.036773681640625,
0.00958251953125,
-0.01617431640625,
0.025238037109375,
-0.02166748046875,
-0.0179290771484375,
-0.0296478271484375,
0.06585693359375,
0.049041748046875,
-0.01338958740234375,
0.019195556640625,
-0.0252532958984375,
-0.018280029296875,
0.0088348388671875,
-0.0654296875,
-0.0244140625,
0.0416259765625,
-0.0244903564453125,
-0.004611968994140625,
-0.0059967041015625,
-0.056884765625,
-0.007518768310546875,
-0.00878143310546875,
0.03216552734375,
-0.045562744140625,
-0.0118408203125,
-0.000362396240234375,
-0.02972412109375,
0.04248046875,
0.0218353271484375,
-0.059417724609375,
0.029266357421875,
0.034332275390625,
0.05810546875,
0.0063629150390625,
-0.050018310546875,
-0.02899169921875,
0.01568603515625,
-0.0290374755859375,
0.04974365234375,
0.0012750625610351562,
-0.02276611328125,
0.0011682510375976562,
0.012237548828125,
-0.0028400421142578125,
-0.033843994140625,
0.0250244140625,
-0.04779052734375,
0.00882720947265625,
-0.0083465576171875,
-0.0352783203125,
-0.0241851806640625,
0.0379638671875,
-0.0556640625,
0.088623046875,
0.01325225830078125,
-0.05902099609375,
0.034332275390625,
-0.051361083984375,
-0.00299835205078125,
0.01953125,
-0.0027675628662109375,
-0.05853271484375,
-0.032440185546875,
0.012725830078125,
0.0400390625,
0.015777587890625,
0.0089111328125,
-0.0350341796875,
-0.025543212890625,
0.01071929931640625,
0.0022830963134765625,
0.069580078125,
0.00998687744140625,
-0.0306549072265625,
0.0180816650390625,
-0.061065673828125,
0.01528167724609375,
0.0165557861328125,
-0.041473388671875,
0.006290435791015625,
-0.0038471221923828125,
0.017608642578125,
0.026702880859375,
0.0259246826171875,
-0.0263671875,
0.009124755859375,
-0.0263824462890625,
0.034759521484375,
0.038055419921875,
0.0186920166015625,
0.01479339599609375,
-0.022064208984375,
0.038116455078125,
0.01360321044921875,
0.0243682861328125,
0.0172576904296875,
-0.02374267578125,
-0.040130615234375,
-0.0219268798828125,
-0.0050506591796875,
0.0311431884765625,
-0.05767822265625,
0.037445068359375,
-0.010009765625,
-0.040618896484375,
-0.0162200927734375,
-0.0087432861328125,
0.0309906005859375,
0.01554107666015625,
0.037841796875,
0.009735107421875,
-0.04461669921875,
-0.06463623046875,
0.008392333984375,
-0.0130462646484375,
0.011566162109375,
0.03558349609375,
0.07843017578125,
-0.0293731689453125,
0.0555419921875,
-0.037139892578125,
-0.0170745849609375,
-0.006084442138671875,
-0.01995849609375,
0.0216064453125,
0.056121826171875,
0.049468994140625,
-0.042388916015625,
-0.02667236328125,
-0.005268096923828125,
-0.07440185546875,
0.038116455078125,
0.0014801025390625,
-0.00885009765625,
0.0035552978515625,
0.033599853515625,
-0.07049560546875,
0.032196044921875,
0.0177154541015625,
-0.022979736328125,
0.0518798828125,
-0.029266357421875,
0.00823211669921875,
-0.06707763671875,
0.01290130615234375,
0.0086669921875,
-0.0128936767578125,
-0.0245208740234375,
0.038330078125,
0.006427764892578125,
-0.0205078125,
-0.06427001953125,
0.05291748046875,
-0.0269012451171875,
-0.008331298828125,
-0.00019490718841552734,
-0.004726409912109375,
-0.0023860931396484375,
0.0516357421875,
0.01340484619140625,
0.0457763671875,
0.06353759765625,
-0.061187744140625,
0.048065185546875,
0.0288848876953125,
-0.010162353515625,
0.01027679443359375,
-0.049468994140625,
-0.0099029541015625,
-0.0008864402770996094,
0.03472900390625,
-0.054901123046875,
-0.03961181640625,
0.04351806640625,
-0.0357666015625,
0.007526397705078125,
-0.02105712890625,
-0.0177764892578125,
-0.0379638671875,
-0.0223388671875,
0.0255889892578125,
0.02923583984375,
-0.041473388671875,
0.02642822265625,
0.0214996337890625,
0.01751708984375,
-0.060150146484375,
-0.03509521484375,
-0.0078582763671875,
-0.0311279296875,
-0.039215087890625,
0.0186004638671875,
-0.009063720703125,
-0.01209259033203125,
0.01531219482421875,
-0.0066986083984375,
-0.008514404296875,
0.010284423828125,
0.017578125,
0.0226287841796875,
-0.0276641845703125,
-0.0355224609375,
-0.022003173828125,
-0.007656097412109375,
0.02880859375,
-0.0226898193359375,
0.0256805419921875,
-0.022125244140625,
-0.00701904296875,
-0.0467529296875,
-0.0068817138671875,
0.045379638671875,
0.001983642578125,
0.061309814453125,
0.0572509765625,
-0.042877197265625,
-0.02264404296875,
-0.01239013671875,
-0.0164794921875,
-0.033935546875,
0.042266845703125,
-0.0247802734375,
-0.039459228515625,
0.056884765625,
0.00789642333984375,
0.0166168212890625,
0.044647216796875,
0.0240325927734375,
-0.01348876953125,
0.08697509765625,
0.038848876953125,
0.005649566650390625,
0.038848876953125,
-0.067138671875,
-0.02728271484375,
-0.0633544921875,
-0.03289794921875,
-0.037506103515625,
0.0033721923828125,
-0.031890869140625,
-0.034637451171875,
0.0305938720703125,
0.00794219970703125,
-0.05126953125,
0.03204345703125,
-0.020965576171875,
0.036834716796875,
0.0284423828125,
0.00948333740234375,
-0.0186614990234375,
0.00409698486328125,
-0.0268402099609375,
-0.00899505615234375,
-0.06390380859375,
-0.0211181640625,
0.06536865234375,
0.039276123046875,
0.05999755859375,
0.00807952880859375,
0.046905517578125,
0.01256561279296875,
-0.005279541015625,
-0.047515869140625,
0.039398193359375,
0.01251220703125,
-0.056427001953125,
-0.03692626953125,
-0.0244293212890625,
-0.059173583984375,
0.03564453125,
-0.0208740234375,
-0.053436279296875,
0.01245880126953125,
0.00902557373046875,
-0.045684814453125,
0.0173797607421875,
-0.01788330078125,
0.07733154296875,
-0.0111541748046875,
-0.04779052734375,
-0.0052947998046875,
-0.054901123046875,
0.048492431640625,
0.01543426513671875,
0.0083160400390625,
0.00479888916015625,
-0.00968170166015625,
0.070068359375,
-0.051361083984375,
0.042327880859375,
-0.042724609375,
0.023101806640625,
0.031585693359375,
0.004604339599609375,
0.035491943359375,
0.036529541015625,
0.006916046142578125,
0.0088958740234375,
0.01485443115234375,
-0.037322998046875,
-0.03338623046875,
0.05487060546875,
-0.10321044921875,
-0.036346435546875,
-0.050323486328125,
-0.02850341796875,
-0.00296783447265625,
0.0204620361328125,
0.019683837890625,
0.0277862548828125,
-0.017303466796875,
0.0258331298828125,
0.05523681640625,
-0.0197906494140625,
0.034088134765625,
0.044677734375,
-0.0164794921875,
-0.049896240234375,
0.057861328125,
-0.00786590576171875,
-0.001590728759765625,
0.01331329345703125,
0.0008826255798339844,
-0.045379638671875,
-0.035308837890625,
-0.0540771484375,
0.013641357421875,
-0.057220458984375,
-0.021759033203125,
-0.05206298828125,
-0.044647216796875,
-0.03582763671875,
-0.00079345703125,
-0.035552978515625,
-0.0207061767578125,
-0.029754638671875,
-0.007328033447265625,
0.029815673828125,
0.042388916015625,
-0.0335693359375,
0.0308837890625,
-0.0548095703125,
0.027618408203125,
0.0213623046875,
0.00934600830078125,
-0.005138397216796875,
-0.05029296875,
-0.043731689453125,
0.00679779052734375,
-0.036590576171875,
-0.045196533203125,
0.05303955078125,
-0.0013103485107421875,
0.062103271484375,
0.03521728515625,
-0.01971435546875,
0.0672607421875,
-0.0191802978515625,
0.07177734375,
0.005054473876953125,
-0.05029296875,
0.0367431640625,
-0.04248046875,
0.0171356201171875,
0.0259246826171875,
0.04022216796875,
-0.0249176025390625,
-0.01079559326171875,
-0.0614013671875,
-0.061065673828125,
0.084228515625,
0.017486572265625,
-0.01439666748046875,
0.015228271484375,
0.03369140625,
-0.0219879150390625,
-0.0036258697509765625,
-0.0823974609375,
-0.0281524658203125,
-0.040618896484375,
0.0235137939453125,
-0.0185394287109375,
0.02288818359375,
-0.0236053466796875,
-0.02606201171875,
0.07769775390625,
-0.0129547119140625,
0.02215576171875,
0.021240234375,
-0.0015697479248046875,
-0.0286712646484375,
-0.018463134765625,
0.047210693359375,
0.0333251953125,
-0.046661376953125,
-0.023223876953125,
0.01335906982421875,
-0.02783203125,
0.0219573974609375,
0.0170135498046875,
-0.00983428955078125,
-0.0086822509765625,
0.0307464599609375,
0.0694580078125,
0.0236053466796875,
-0.0279998779296875,
0.0433349609375,
-0.0206298828125,
-0.035308837890625,
-0.034210205078125,
0.017913818359375,
0.00801849365234375,
0.0301971435546875,
0.01107025146484375,
0.023651123046875,
0.0013589859008789062,
-0.022247314453125,
0.0094757080078125,
0.0295257568359375,
-0.035369873046875,
-0.0157318115234375,
0.07257080078125,
-0.00269317626953125,
-0.017669677734375,
0.06292724609375,
-0.00934600830078125,
-0.0310211181640625,
0.08648681640625,
0.04058837890625,
0.056243896484375,
0.00662994384765625,
0.020904541015625,
0.06036376953125,
0.0124664306640625,
-0.02337646484375,
0.0193023681640625,
0.0020923614501953125,
-0.05902099609375,
-0.01227569580078125,
-0.042449951171875,
-0.03814697265625,
0.03704833984375,
-0.060516357421875,
0.02117919921875,
-0.049957275390625,
-0.01397705078125,
-0.006916046142578125,
0.029388427734375,
-0.06036376953125,
0.0193634033203125,
0.01290130615234375,
0.0860595703125,
-0.064208984375,
0.059906005859375,
0.075927734375,
-0.046142578125,
-0.0692138671875,
-0.0057830810546875,
-0.0008955001831054688,
-0.048095703125,
0.050872802734375,
-0.002826690673828125,
0.00995635986328125,
0.017303466796875,
-0.06329345703125,
-0.0892333984375,
0.10284423828125,
-0.0079803466796875,
-0.019683837890625,
0.0123748779296875,
-0.002864837646484375,
0.046966552734375,
-0.0258331298828125,
0.028045654296875,
0.0220489501953125,
0.040618896484375,
0.00539398193359375,
-0.034881591796875,
0.003688812255859375,
-0.0223388671875,
0.00331878662109375,
-0.0112457275390625,
-0.07379150390625,
0.08819580078125,
-0.0243682861328125,
-0.0027446746826171875,
0.015289306640625,
0.0654296875,
0.061981201171875,
0.0107269287109375,
0.032196044921875,
0.056915283203125,
0.0293426513671875,
0.00475311279296875,
0.058441162109375,
-0.03369140625,
0.043731689453125,
0.05010986328125,
-0.0256805419921875,
0.052032470703125,
0.0164031982421875,
-0.01837158203125,
0.035888671875,
0.06494140625,
-0.0269775390625,
0.04132080078125,
0.01338958740234375,
0.0029315948486328125,
-0.0192108154296875,
0.024871826171875,
-0.043609619140625,
0.01165008544921875,
0.0307769775390625,
0.01236724853515625,
-0.020477294921875,
-0.00518798828125,
-0.0133514404296875,
-0.0235443115234375,
-0.01995849609375,
0.0611572265625,
-0.00762176513671875,
-0.057861328125,
0.06256103515625,
0.00830841064453125,
0.032470703125,
-0.05303955078125,
-0.0141754150390625,
-0.02569580078125,
0.027099609375,
-0.0194091796875,
-0.05548095703125,
-0.0018091201782226562,
-0.01068878173828125,
-0.0032176971435546875,
0.003719329833984375,
0.04022216796875,
-0.00792694091796875,
-0.01549530029296875,
0.03485107421875,
0.035186767578125,
0.0267791748046875,
0.0182037353515625,
-0.08416748046875,
-0.006999969482421875,
-0.004550933837890625,
-0.03704833984375,
0.03485107421875,
0.037322998046875,
0.00045013427734375,
0.06842041015625,
0.04620361328125,
-0.003978729248046875,
0.01503753662109375,
-0.0159759521484375,
0.07427978515625,
-0.06683349609375,
-0.0462646484375,
-0.03826904296875,
0.041412353515625,
0.00980377197265625,
-0.043792724609375,
0.057708740234375,
0.06719970703125,
0.06317138671875,
-0.03277587890625,
0.050811767578125,
-0.01666259765625,
-0.0020847320556640625,
-0.039154052734375,
0.049896240234375,
-0.047332763671875,
0.0019664764404296875,
-0.01227569580078125,
-0.0574951171875,
-0.0002624988555908203,
0.05303955078125,
0.003173828125,
0.0042724609375,
0.04888916015625,
0.07794189453125,
-0.0196685791015625,
-0.01421356201171875,
0.0240325927734375,
0.0257568359375,
0.0158233642578125,
0.033905029296875,
0.08062744140625,
-0.05401611328125,
0.048736572265625,
-0.043426513671875,
-0.0088958740234375,
-0.0146484375,
-0.048736572265625,
-0.05419921875,
-0.0249481201171875,
-0.0355224609375,
-0.0506591796875,
0.01294708251953125,
0.064453125,
0.073486328125,
-0.05279541015625,
-0.0384521484375,
-0.00316619873046875,
0.0012407302856445312,
-0.037384033203125,
-0.0226287841796875,
0.0180206298828125,
-0.01291656494140625,
-0.046539306640625,
0.036346435546875,
-0.00860595703125,
0.0096282958984375,
-0.029083251953125,
-0.034912109375,
-0.0236053466796875,
-0.0188140869140625,
0.01068115234375,
0.046539306640625,
-0.043212890625,
-0.015960693359375,
-0.015899658203125,
-0.0188140869140625,
0.0021457672119140625,
0.0213775634765625,
-0.0633544921875,
-0.005401611328125,
0.032958984375,
0.01461029052734375,
0.06365966796875,
0.0006823539733886719,
0.022979736328125,
-0.0400390625,
0.01036834716796875,
0.014801025390625,
0.032012939453125,
0.00821685791015625,
-0.0275726318359375,
0.03466796875,
0.0277862548828125,
-0.05975341796875,
-0.054168701171875,
-0.016204833984375,
-0.070556640625,
-0.0263671875,
0.08087158203125,
-0.0294342041015625,
-0.0447998046875,
0.0006623268127441406,
-0.00893402099609375,
0.014739990234375,
-0.033477783203125,
0.03302001953125,
0.032501220703125,
-0.0171661376953125,
0.0038471221923828125,
-0.0521240234375,
0.055694580078125,
0.004711151123046875,
-0.05419921875,
-0.0159454345703125,
0.043426513671875,
0.040802001953125,
0.01312255859375,
0.035247802734375,
0.00010389089584350586,
0.036102294921875,
0.0278472900390625,
0.020111083984375,
-0.0124359130859375,
-0.0301361083984375,
-0.046051025390625,
0.006793975830078125,
-0.011383056640625,
-0.0103302001953125
]
] |
Schadom/dqn-SpaceInvadersNoFrameskip-v4-v2 | 2023-09-26T21:18:18.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Schadom | null | null | Schadom/dqn-SpaceInvadersNoFrameskip-v4-v2 | 0 | 2 | stable-baselines3 | 2023-09-26T21:17:51 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 5.00 +/- 7.07
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga Schadom
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 100000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,751 | [
[
-0.04296875,
-0.03936767578125,
0.02008056640625,
0.0257415771484375,
-0.0109710693359375,
-0.018218994140625,
0.0102081298828125,
-0.01242828369140625,
0.0130615234375,
0.0229949951171875,
-0.07086181640625,
-0.035003662109375,
-0.025177001953125,
-0.003574371337890625,
-0.0009517669677734375,
0.07537841796875,
-0.00348663330078125,
0.0099334716796875,
-0.01605224609375,
-0.015289306640625,
-0.0240020751953125,
-0.02099609375,
-0.051513671875,
-0.03179931640625,
0.011322021484375,
0.0109100341796875,
0.06182861328125,
0.0726318359375,
0.039886474609375,
0.02764892578125,
-0.010040283203125,
-0.004058837890625,
-0.0302581787109375,
-0.0034313201904296875,
0.002346038818359375,
-0.017547607421875,
-0.0272369384765625,
-0.0110321044921875,
0.051849365234375,
0.0056915283203125,
-0.01812744140625,
0.019683837890625,
-0.0190582275390625,
0.030731201171875,
-0.039825439453125,
0.035400390625,
-0.00905609130859375,
0.0333251953125,
0.0033931732177734375,
-0.01013946533203125,
0.0036067962646484375,
-0.00511932373046875,
-0.0015344619750976562,
-0.086181640625,
0.01361846923828125,
0.0037326812744140625,
0.1015625,
0.039306640625,
-0.02069091796875,
0.00946807861328125,
-0.045623779296875,
0.051666259765625,
-0.070068359375,
0.037139892578125,
0.019561767578125,
0.032135009765625,
-0.015167236328125,
-0.06787109375,
-0.033660888671875,
-0.017486572265625,
0.005489349365234375,
0.0240325927734375,
-0.008331298828125,
-0.002948760986328125,
0.054290771484375,
0.00354766845703125,
-0.045257568359375,
0.008880615234375,
-0.0367431640625,
-0.0162200927734375,
0.030792236328125,
0.04241943359375,
0.0088348388671875,
-0.01287078857421875,
-0.036376953125,
-0.042083740234375,
-0.0258636474609375,
0.033111572265625,
0.0138397216796875,
0.01255035400390625,
-0.0290679931640625,
0.042694091796875,
-0.03643798828125,
0.036865234375,
0.00952911376953125,
-0.0162200927734375,
0.025146484375,
-0.0216827392578125,
-0.0179290771484375,
-0.0296478271484375,
0.06591796875,
0.04901123046875,
-0.01328277587890625,
0.019256591796875,
-0.025238037109375,
-0.01837158203125,
0.00881195068359375,
-0.06536865234375,
-0.024383544921875,
0.04168701171875,
-0.0245513916015625,
-0.004627227783203125,
-0.005992889404296875,
-0.056976318359375,
-0.007476806640625,
-0.008697509765625,
0.032135009765625,
-0.0455322265625,
-0.01183319091796875,
-0.0004067420959472656,
-0.029632568359375,
0.042510986328125,
0.021820068359375,
-0.0594482421875,
0.029266357421875,
0.034271240234375,
0.058135986328125,
0.006465911865234375,
-0.049957275390625,
-0.0290069580078125,
0.0156707763671875,
-0.0289764404296875,
0.049713134765625,
0.0013799667358398438,
-0.02276611328125,
0.0011377334594726562,
0.01220703125,
-0.0028934478759765625,
-0.033843994140625,
0.0250396728515625,
-0.04779052734375,
0.0087738037109375,
-0.00823974609375,
-0.03521728515625,
-0.0241851806640625,
0.037933349609375,
-0.05572509765625,
0.08856201171875,
0.01320648193359375,
-0.059051513671875,
0.034210205078125,
-0.051300048828125,
-0.003063201904296875,
0.0195159912109375,
-0.002704620361328125,
-0.0584716796875,
-0.03240966796875,
0.01271820068359375,
0.0400390625,
0.0157318115234375,
0.0088958740234375,
-0.035003662109375,
-0.0255279541015625,
0.01071929931640625,
0.0022144317626953125,
0.0697021484375,
0.010040283203125,
-0.0307159423828125,
0.018035888671875,
-0.061065673828125,
0.01525115966796875,
0.01654052734375,
-0.04144287109375,
0.00632476806640625,
-0.0038909912109375,
0.01763916015625,
0.026702880859375,
0.026031494140625,
-0.0263671875,
0.0091552734375,
-0.0263671875,
0.034820556640625,
0.038116455078125,
0.0186920166015625,
0.01468658447265625,
-0.0219879150390625,
0.038116455078125,
0.01363372802734375,
0.0242919921875,
0.017242431640625,
-0.02374267578125,
-0.040069580078125,
-0.021881103515625,
-0.004985809326171875,
0.0311431884765625,
-0.057647705078125,
0.037445068359375,
-0.00998687744140625,
-0.040618896484375,
-0.0162200927734375,
-0.008758544921875,
0.030914306640625,
0.01556396484375,
0.037841796875,
0.00982666015625,
-0.044647216796875,
-0.06463623046875,
0.00848388671875,
-0.0129852294921875,
0.01153564453125,
0.035552978515625,
0.07843017578125,
-0.029266357421875,
0.05548095703125,
-0.037109375,
-0.017059326171875,
-0.006008148193359375,
-0.02001953125,
0.0216217041015625,
0.056182861328125,
0.049346923828125,
-0.042327880859375,
-0.026702880859375,
-0.00527191162109375,
-0.07440185546875,
0.0380859375,
0.001434326171875,
-0.0088958740234375,
0.0036144256591796875,
0.03363037109375,
-0.0704345703125,
0.03216552734375,
0.0177001953125,
-0.02294921875,
0.051849365234375,
-0.0293121337890625,
0.00824737548828125,
-0.067138671875,
0.01282501220703125,
0.0087127685546875,
-0.0128936767578125,
-0.024444580078125,
0.038360595703125,
0.006381988525390625,
-0.0205078125,
-0.06427001953125,
0.052886962890625,
-0.0269012451171875,
-0.00821685791015625,
-0.00013589859008789062,
-0.0047454833984375,
-0.0024738311767578125,
0.051666259765625,
0.0133514404296875,
0.045654296875,
0.0635986328125,
-0.06121826171875,
0.048187255859375,
0.0288543701171875,
-0.01013946533203125,
0.01024627685546875,
-0.0494384765625,
-0.0098724365234375,
-0.0008606910705566406,
0.03472900390625,
-0.055023193359375,
-0.039581298828125,
0.043487548828125,
-0.035736083984375,
0.00753021240234375,
-0.0210418701171875,
-0.017791748046875,
-0.0379638671875,
-0.02239990234375,
0.0255584716796875,
0.029266357421875,
-0.04150390625,
0.0264129638671875,
0.0214996337890625,
0.017486572265625,
-0.06005859375,
-0.0350341796875,
-0.00786590576171875,
-0.031097412109375,
-0.039306640625,
0.018524169921875,
-0.0090179443359375,
-0.0120697021484375,
0.01531219482421875,
-0.006610870361328125,
-0.0084686279296875,
0.01018524169921875,
0.0175933837890625,
0.0226593017578125,
-0.02764892578125,
-0.035552978515625,
-0.02197265625,
-0.007663726806640625,
0.02880859375,
-0.02264404296875,
0.0257415771484375,
-0.0221405029296875,
-0.006992340087890625,
-0.046783447265625,
-0.006862640380859375,
0.045440673828125,
0.002048492431640625,
0.061309814453125,
0.057373046875,
-0.042877197265625,
-0.0226287841796875,
-0.01238250732421875,
-0.0164947509765625,
-0.033935546875,
0.042266845703125,
-0.0247955322265625,
-0.039459228515625,
0.05694580078125,
0.0079498291015625,
0.01654052734375,
0.044708251953125,
0.0240325927734375,
-0.01351165771484375,
0.0870361328125,
0.038726806640625,
0.005619049072265625,
0.038787841796875,
-0.067138671875,
-0.0272369384765625,
-0.0633544921875,
-0.032867431640625,
-0.037445068359375,
0.0033054351806640625,
-0.03192138671875,
-0.034637451171875,
0.03057861328125,
0.0080108642578125,
-0.051300048828125,
0.032012939453125,
-0.02099609375,
0.036773681640625,
0.02850341796875,
0.0095367431640625,
-0.0186614990234375,
0.004100799560546875,
-0.026824951171875,
-0.00896453857421875,
-0.0638427734375,
-0.0211639404296875,
0.06536865234375,
0.039337158203125,
0.059967041015625,
0.00801849365234375,
0.046905517578125,
0.0125274658203125,
-0.0053253173828125,
-0.0474853515625,
0.039459228515625,
0.01244354248046875,
-0.05633544921875,
-0.0369873046875,
-0.024444580078125,
-0.05914306640625,
0.035614013671875,
-0.0208740234375,
-0.053497314453125,
0.01247406005859375,
0.00910186767578125,
-0.04571533203125,
0.0174560546875,
-0.0180206298828125,
0.07745361328125,
-0.01111602783203125,
-0.047821044921875,
-0.005275726318359375,
-0.054840087890625,
0.048431396484375,
0.01543426513671875,
0.00830841064453125,
0.0048675537109375,
-0.00966644287109375,
0.070068359375,
-0.05133056640625,
0.0423583984375,
-0.042755126953125,
0.023101806640625,
0.031646728515625,
0.004581451416015625,
0.0355224609375,
0.03656005859375,
0.00693511962890625,
0.00901031494140625,
0.01488494873046875,
-0.037322998046875,
-0.0333251953125,
0.05487060546875,
-0.10308837890625,
-0.03631591796875,
-0.05035400390625,
-0.02850341796875,
-0.002880096435546875,
0.020416259765625,
0.0197906494140625,
0.0277862548828125,
-0.017242431640625,
0.02587890625,
0.05517578125,
-0.0197906494140625,
0.03411865234375,
0.0445556640625,
-0.016448974609375,
-0.049957275390625,
0.057891845703125,
-0.007808685302734375,
-0.0015850067138671875,
0.01323699951171875,
0.0008778572082519531,
-0.0452880859375,
-0.035400390625,
-0.054046630859375,
0.0136566162109375,
-0.05718994140625,
-0.0218505859375,
-0.05206298828125,
-0.044647216796875,
-0.035919189453125,
-0.0008091926574707031,
-0.0355224609375,
-0.0207061767578125,
-0.0298309326171875,
-0.007282257080078125,
0.029876708984375,
0.0423583984375,
-0.0335693359375,
0.0308380126953125,
-0.0548095703125,
0.027679443359375,
0.021331787109375,
0.0093994140625,
-0.005100250244140625,
-0.05029296875,
-0.043731689453125,
0.006832122802734375,
-0.03656005859375,
-0.045166015625,
0.053070068359375,
-0.0013208389282226562,
0.06207275390625,
0.03521728515625,
-0.0196990966796875,
0.0672607421875,
-0.0192108154296875,
0.0716552734375,
0.004886627197265625,
-0.050323486328125,
0.0367431640625,
-0.04241943359375,
0.017120361328125,
0.0258636474609375,
0.04022216796875,
-0.0248870849609375,
-0.0108642578125,
-0.0614013671875,
-0.061004638671875,
0.084228515625,
0.0174560546875,
-0.01438140869140625,
0.01520538330078125,
0.03363037109375,
-0.02197265625,
-0.00366973876953125,
-0.0823974609375,
-0.0281219482421875,
-0.040618896484375,
0.0234527587890625,
-0.0184478759765625,
0.02288818359375,
-0.023590087890625,
-0.026123046875,
0.07769775390625,
-0.01293182373046875,
0.022216796875,
0.0212554931640625,
-0.0015087127685546875,
-0.028717041015625,
-0.0185089111328125,
0.0472412109375,
0.033203125,
-0.046661376953125,
-0.0232086181640625,
0.013427734375,
-0.027862548828125,
0.021942138671875,
0.0170135498046875,
-0.00977325439453125,
-0.0087432861328125,
0.0307464599609375,
0.0693359375,
0.023590087890625,
-0.028045654296875,
0.04327392578125,
-0.02056884765625,
-0.0352783203125,
-0.03424072265625,
0.0179290771484375,
0.0081024169921875,
0.030181884765625,
0.01107025146484375,
0.0236663818359375,
0.0012731552124023438,
-0.0222320556640625,
0.0094757080078125,
0.02960205078125,
-0.035308837890625,
-0.0156707763671875,
0.07257080078125,
-0.002758026123046875,
-0.01763916015625,
0.06292724609375,
-0.00939178466796875,
-0.0309600830078125,
0.086669921875,
0.040496826171875,
0.056182861328125,
0.006618499755859375,
0.0208587646484375,
0.0604248046875,
0.01248931884765625,
-0.023345947265625,
0.0192108154296875,
0.0021724700927734375,
-0.059051513671875,
-0.012298583984375,
-0.042510986328125,
-0.038116455078125,
0.037078857421875,
-0.06048583984375,
0.02117919921875,
-0.05010986328125,
-0.01385498046875,
-0.00685882568359375,
0.02935791015625,
-0.060302734375,
0.0193328857421875,
0.012847900390625,
0.08599853515625,
-0.064208984375,
0.059906005859375,
0.07586669921875,
-0.04608154296875,
-0.069091796875,
-0.005832672119140625,
-0.000865936279296875,
-0.048065185546875,
0.0509033203125,
-0.002826690673828125,
0.0099945068359375,
0.0173797607421875,
-0.0633544921875,
-0.08905029296875,
0.102783203125,
-0.00789642333984375,
-0.0196075439453125,
0.01238250732421875,
-0.0028514862060546875,
0.0469970703125,
-0.0258636474609375,
0.027984619140625,
0.0220184326171875,
0.040618896484375,
0.005435943603515625,
-0.03485107421875,
0.00377655029296875,
-0.0223388671875,
0.0033016204833984375,
-0.011260986328125,
-0.07379150390625,
0.0882568359375,
-0.0244140625,
-0.0027637481689453125,
0.01523590087890625,
0.06536865234375,
0.0618896484375,
0.01062774658203125,
0.032196044921875,
0.056915283203125,
0.029296875,
0.00472259521484375,
0.058380126953125,
-0.03369140625,
0.04376220703125,
0.050079345703125,
-0.0255584716796875,
0.05206298828125,
0.016357421875,
-0.0184173583984375,
0.035888671875,
0.06500244140625,
-0.02703857421875,
0.04119873046875,
0.01332855224609375,
0.002826690673828125,
-0.0191650390625,
0.0249786376953125,
-0.04351806640625,
0.01172637939453125,
0.030792236328125,
0.0123443603515625,
-0.0205078125,
-0.005126953125,
-0.01331329345703125,
-0.023529052734375,
-0.02001953125,
0.0611572265625,
-0.007625579833984375,
-0.057769775390625,
0.06256103515625,
0.00833892822265625,
0.032562255859375,
-0.05291748046875,
-0.01421356201171875,
-0.0256500244140625,
0.0270843505859375,
-0.0194244384765625,
-0.05548095703125,
-0.0018186569213867188,
-0.010772705078125,
-0.00322723388671875,
0.0037288665771484375,
0.040252685546875,
-0.0079803466796875,
-0.0155487060546875,
0.0347900390625,
0.035125732421875,
0.02679443359375,
0.0181427001953125,
-0.083984375,
-0.007053375244140625,
-0.0044403076171875,
-0.037078857421875,
0.03485107421875,
0.037353515625,
0.0004439353942871094,
0.06842041015625,
0.046234130859375,
-0.0038928985595703125,
0.0150604248046875,
-0.0160675048828125,
0.07427978515625,
-0.06689453125,
-0.046234130859375,
-0.03826904296875,
0.041412353515625,
0.00982666015625,
-0.04376220703125,
0.057708740234375,
0.067138671875,
0.06317138671875,
-0.032867431640625,
0.05078125,
-0.01666259765625,
-0.002094268798828125,
-0.039154052734375,
0.049957275390625,
-0.047210693359375,
0.0019292831420898438,
-0.0122528076171875,
-0.057586669921875,
-0.0002727508544921875,
0.05303955078125,
0.0030956268310546875,
0.004302978515625,
0.048828125,
0.07794189453125,
-0.0196533203125,
-0.01415252685546875,
0.0240020751953125,
0.02587890625,
0.0157928466796875,
0.033966064453125,
0.08038330078125,
-0.05389404296875,
0.04876708984375,
-0.04345703125,
-0.00888824462890625,
-0.0146026611328125,
-0.04876708984375,
-0.0540771484375,
-0.0250091552734375,
-0.0355224609375,
-0.0506591796875,
0.01287078857421875,
0.06439208984375,
0.0733642578125,
-0.0528564453125,
-0.0384521484375,
-0.003173828125,
0.001285552978515625,
-0.037353515625,
-0.02264404296875,
0.0180206298828125,
-0.012939453125,
-0.046600341796875,
0.0362548828125,
-0.00865936279296875,
0.0095977783203125,
-0.0291290283203125,
-0.034881591796875,
-0.0237274169921875,
-0.0188446044921875,
0.0107269287109375,
0.04656982421875,
-0.043182373046875,
-0.0160369873046875,
-0.015960693359375,
-0.018798828125,
0.00215911865234375,
0.0213470458984375,
-0.0633544921875,
-0.005298614501953125,
0.03289794921875,
0.0145416259765625,
0.06365966796875,
0.0006327629089355469,
0.0229034423828125,
-0.040069580078125,
0.0104522705078125,
0.0147857666015625,
0.032012939453125,
0.00818634033203125,
-0.027618408203125,
0.03466796875,
0.027801513671875,
-0.059722900390625,
-0.054107666015625,
-0.0162811279296875,
-0.0706787109375,
-0.0263214111328125,
0.08087158203125,
-0.029388427734375,
-0.0447998046875,
0.0006504058837890625,
-0.00896453857421875,
0.0147857666015625,
-0.033447265625,
0.032958984375,
0.032470703125,
-0.0172119140625,
0.0038299560546875,
-0.05224609375,
0.0557861328125,
0.00467681884765625,
-0.054168701171875,
-0.015960693359375,
0.043365478515625,
0.040802001953125,
0.01316070556640625,
0.03521728515625,
0.0001170039176940918,
0.036041259765625,
0.02789306640625,
0.0201263427734375,
-0.01245880126953125,
-0.0300140380859375,
-0.046051025390625,
0.006885528564453125,
-0.01145172119140625,
-0.01033782958984375
]
] |
Schadom/dqn-SpaceInvadersNoFrameskip-v4-v3 | 2023-09-26T22:23:10.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Schadom | null | null | Schadom/dqn-SpaceInvadersNoFrameskip-v4-v3 | 0 | 2 | stable-baselines3 | 2023-09-26T22:22:38 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 409.50 +/- 203.17
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Schadom -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga Schadom
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 500000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,755 | [
[
-0.042938232421875,
-0.039337158203125,
0.0199737548828125,
0.0256195068359375,
-0.01093292236328125,
-0.0180816650390625,
0.01019287109375,
-0.012542724609375,
0.0129852294921875,
0.0228424072265625,
-0.07080078125,
-0.035003662109375,
-0.0251617431640625,
-0.003551483154296875,
-0.00099945068359375,
0.07537841796875,
-0.0033664703369140625,
0.00995635986328125,
-0.0160369873046875,
-0.01519775390625,
-0.023956298828125,
-0.020965576171875,
-0.051513671875,
-0.031829833984375,
0.01143646240234375,
0.010955810546875,
0.061798095703125,
0.0726318359375,
0.039825439453125,
0.0275726318359375,
-0.01003265380859375,
-0.004116058349609375,
-0.0303192138671875,
-0.0036411285400390625,
0.0023059844970703125,
-0.017547607421875,
-0.0272216796875,
-0.01090240478515625,
0.0517578125,
0.005687713623046875,
-0.0180816650390625,
0.019622802734375,
-0.0190277099609375,
0.0308380126953125,
-0.039764404296875,
0.03546142578125,
-0.0089874267578125,
0.033447265625,
0.00341033935546875,
-0.010009765625,
0.00360870361328125,
-0.005077362060546875,
-0.0013332366943359375,
-0.08612060546875,
0.013641357421875,
0.0037364959716796875,
0.10150146484375,
0.03924560546875,
-0.020660400390625,
0.009429931640625,
-0.04559326171875,
0.051544189453125,
-0.06988525390625,
0.0372314453125,
0.0195159912109375,
0.0321044921875,
-0.01509857177734375,
-0.0677490234375,
-0.0335693359375,
-0.0175628662109375,
0.0054931640625,
0.0240936279296875,
-0.00833892822265625,
-0.002979278564453125,
0.054229736328125,
0.0035610198974609375,
-0.045318603515625,
0.00894927978515625,
-0.0367431640625,
-0.01611328125,
0.03094482421875,
0.042388916015625,
0.00882720947265625,
-0.0128631591796875,
-0.03643798828125,
-0.042083740234375,
-0.0258026123046875,
0.03314208984375,
0.013885498046875,
0.012542724609375,
-0.029083251953125,
0.04266357421875,
-0.036407470703125,
0.0367431640625,
0.0095062255859375,
-0.01617431640625,
0.0252227783203125,
-0.0217132568359375,
-0.017974853515625,
-0.0295867919921875,
0.06591796875,
0.048919677734375,
-0.01336669921875,
0.0192108154296875,
-0.0251617431640625,
-0.018463134765625,
0.0087890625,
-0.06536865234375,
-0.0244598388671875,
0.04168701171875,
-0.024505615234375,
-0.004547119140625,
-0.005878448486328125,
-0.056915283203125,
-0.00762176513671875,
-0.008636474609375,
0.032196044921875,
-0.045623779296875,
-0.011932373046875,
-0.0003578662872314453,
-0.029510498046875,
0.042572021484375,
0.0218353271484375,
-0.059356689453125,
0.0291290283203125,
0.03424072265625,
0.05816650390625,
0.00635528564453125,
-0.0499267578125,
-0.0289306640625,
0.01561737060546875,
-0.02899169921875,
0.04974365234375,
0.0014133453369140625,
-0.0227508544921875,
0.0010242462158203125,
0.01219940185546875,
-0.002971649169921875,
-0.0338134765625,
0.02508544921875,
-0.0477294921875,
0.008697509765625,
-0.00821685791015625,
-0.03521728515625,
-0.0241241455078125,
0.03790283203125,
-0.0557861328125,
0.08868408203125,
0.0133056640625,
-0.05902099609375,
0.034332275390625,
-0.051177978515625,
-0.0029697418212890625,
0.0196075439453125,
-0.002593994140625,
-0.058441162109375,
-0.032470703125,
0.0127105712890625,
0.040008544921875,
0.0156097412109375,
0.0090484619140625,
-0.034912109375,
-0.0255126953125,
0.0107421875,
0.0021648406982421875,
0.06964111328125,
0.0101318359375,
-0.030731201171875,
0.01800537109375,
-0.061065673828125,
0.01512908935546875,
0.016510009765625,
-0.041473388671875,
0.00641632080078125,
-0.0038471221923828125,
0.01763916015625,
0.026824951171875,
0.0261383056640625,
-0.02630615234375,
0.009246826171875,
-0.0264129638671875,
0.034759521484375,
0.0380859375,
0.0185699462890625,
0.01462554931640625,
-0.0220184326171875,
0.038177490234375,
0.0137481689453125,
0.0242462158203125,
0.017242431640625,
-0.023773193359375,
-0.040008544921875,
-0.0218658447265625,
-0.004913330078125,
0.0310211181640625,
-0.057373046875,
0.037353515625,
-0.01003265380859375,
-0.04071044921875,
-0.01629638671875,
-0.00885009765625,
0.030914306640625,
0.01561737060546875,
0.03778076171875,
0.00968170166015625,
-0.04461669921875,
-0.0645751953125,
0.0084381103515625,
-0.0129852294921875,
0.0115509033203125,
0.035491943359375,
0.0784912109375,
-0.029296875,
0.055450439453125,
-0.03704833984375,
-0.01702880859375,
-0.0059967041015625,
-0.0198822021484375,
0.0216064453125,
0.056060791015625,
0.049224853515625,
-0.0423583984375,
-0.0267486572265625,
-0.0052337646484375,
-0.074462890625,
0.0382080078125,
0.0014858245849609375,
-0.008819580078125,
0.0036334991455078125,
0.033599853515625,
-0.0703125,
0.032012939453125,
0.0177764892578125,
-0.02301025390625,
0.051849365234375,
-0.029296875,
0.0081787109375,
-0.0670166015625,
0.012939453125,
0.00873565673828125,
-0.0128326416015625,
-0.0243072509765625,
0.038177490234375,
0.006313323974609375,
-0.0205841064453125,
-0.064208984375,
0.052825927734375,
-0.0269012451171875,
-0.0082550048828125,
-0.0000826716423034668,
-0.004726409912109375,
-0.0025482177734375,
0.051605224609375,
0.013275146484375,
0.045806884765625,
0.0635986328125,
-0.061187744140625,
0.04803466796875,
0.028839111328125,
-0.01030731201171875,
0.010284423828125,
-0.04931640625,
-0.0098876953125,
-0.0007219314575195312,
0.034637451171875,
-0.05499267578125,
-0.039642333984375,
0.04351806640625,
-0.03570556640625,
0.0074920654296875,
-0.02099609375,
-0.0177459716796875,
-0.03802490234375,
-0.0223236083984375,
0.0253753662109375,
0.0292510986328125,
-0.04150390625,
0.02642822265625,
0.021484375,
0.017486572265625,
-0.060211181640625,
-0.03509521484375,
-0.007785797119140625,
-0.0309906005859375,
-0.039306640625,
0.018585205078125,
-0.00894927978515625,
-0.01198577880859375,
0.0154266357421875,
-0.00670623779296875,
-0.00836181640625,
0.01024627685546875,
0.017578125,
0.0225677490234375,
-0.0276336669921875,
-0.035400390625,
-0.022064208984375,
-0.0077056884765625,
0.028839111328125,
-0.0227203369140625,
0.025634765625,
-0.0221405029296875,
-0.006916046142578125,
-0.046783447265625,
-0.00710296630859375,
0.045379638671875,
0.002010345458984375,
0.06146240234375,
0.057342529296875,
-0.04278564453125,
-0.0226898193359375,
-0.0123291015625,
-0.0164794921875,
-0.033905029296875,
0.042327880859375,
-0.0247955322265625,
-0.039337158203125,
0.056915283203125,
0.0078582763671875,
0.01654052734375,
0.04486083984375,
0.02398681640625,
-0.01351165771484375,
0.0870361328125,
0.038604736328125,
0.005512237548828125,
0.038726806640625,
-0.06719970703125,
-0.027313232421875,
-0.0633544921875,
-0.032958984375,
-0.037506103515625,
0.003299713134765625,
-0.03192138671875,
-0.0345458984375,
0.0305633544921875,
0.0079345703125,
-0.05133056640625,
0.03192138671875,
-0.02099609375,
0.03668212890625,
0.028594970703125,
0.00954437255859375,
-0.0186004638671875,
0.004116058349609375,
-0.0268096923828125,
-0.0089874267578125,
-0.0638427734375,
-0.0211944580078125,
0.06536865234375,
0.039337158203125,
0.059906005859375,
0.0079803466796875,
0.04669189453125,
0.01262664794921875,
-0.005344390869140625,
-0.047454833984375,
0.039337158203125,
0.012481689453125,
-0.056304931640625,
-0.036834716796875,
-0.024444580078125,
-0.059173583984375,
0.03564453125,
-0.021026611328125,
-0.05340576171875,
0.01236724853515625,
0.00913238525390625,
-0.045501708984375,
0.0174407958984375,
-0.0181427001953125,
0.0775146484375,
-0.0112152099609375,
-0.04779052734375,
-0.00528717041015625,
-0.05487060546875,
0.048431396484375,
0.01538848876953125,
0.008270263671875,
0.0048065185546875,
-0.00962066650390625,
0.070068359375,
-0.05133056640625,
0.042327880859375,
-0.042755126953125,
0.023101806640625,
0.031524658203125,
0.00440216064453125,
0.035491943359375,
0.03643798828125,
0.006832122802734375,
0.00901031494140625,
0.014862060546875,
-0.037322998046875,
-0.03326416015625,
0.05487060546875,
-0.10321044921875,
-0.0362548828125,
-0.050445556640625,
-0.0284576416015625,
-0.0029621124267578125,
0.0204010009765625,
0.019805908203125,
0.0277252197265625,
-0.0173492431640625,
0.0258026123046875,
0.055206298828125,
-0.019775390625,
0.034027099609375,
0.04449462890625,
-0.01629638671875,
-0.049957275390625,
0.0579833984375,
-0.00772857666015625,
-0.0016880035400390625,
0.01326751708984375,
0.0009374618530273438,
-0.045318603515625,
-0.035308837890625,
-0.05413818359375,
0.0137176513671875,
-0.057098388671875,
-0.0217132568359375,
-0.052093505859375,
-0.044647216796875,
-0.035797119140625,
-0.0007801055908203125,
-0.035491943359375,
-0.0206451416015625,
-0.0298919677734375,
-0.007244110107421875,
0.029754638671875,
0.042510986328125,
-0.0335693359375,
0.03082275390625,
-0.05462646484375,
0.027435302734375,
0.021331787109375,
0.00936126708984375,
-0.00498199462890625,
-0.050323486328125,
-0.043914794921875,
0.00685882568359375,
-0.03668212890625,
-0.045196533203125,
0.0531005859375,
-0.001270294189453125,
0.06201171875,
0.035308837890625,
-0.0197601318359375,
0.0672607421875,
-0.019134521484375,
0.07171630859375,
0.004795074462890625,
-0.050323486328125,
0.036712646484375,
-0.042388916015625,
0.017120361328125,
0.0258026123046875,
0.040252685546875,
-0.02490234375,
-0.01080322265625,
-0.06146240234375,
-0.06097412109375,
0.08428955078125,
0.017364501953125,
-0.0144805908203125,
0.0153045654296875,
0.0335693359375,
-0.0219573974609375,
-0.0035877227783203125,
-0.08221435546875,
-0.028106689453125,
-0.040557861328125,
0.0233154296875,
-0.0186309814453125,
0.0229034423828125,
-0.02349853515625,
-0.0261383056640625,
0.07769775390625,
-0.0129241943359375,
0.022308349609375,
0.02105712890625,
-0.0015239715576171875,
-0.0286865234375,
-0.01849365234375,
0.047210693359375,
0.033172607421875,
-0.04669189453125,
-0.0232086181640625,
0.0134735107421875,
-0.0279541015625,
0.02197265625,
0.0171356201171875,
-0.00962066650390625,
-0.00875091552734375,
0.03082275390625,
0.06927490234375,
0.0236053466796875,
-0.0280914306640625,
0.043304443359375,
-0.0205535888671875,
-0.0352783203125,
-0.03424072265625,
0.0179443359375,
0.00821685791015625,
0.03021240234375,
0.01123046875,
0.0235748291015625,
0.0012836456298828125,
-0.022216796875,
0.0094146728515625,
0.0295867919921875,
-0.035308837890625,
-0.015838623046875,
0.07257080078125,
-0.0027332305908203125,
-0.017547607421875,
0.06304931640625,
-0.009307861328125,
-0.03094482421875,
0.08660888671875,
0.04052734375,
0.056182861328125,
0.00665283203125,
0.020904541015625,
0.060455322265625,
0.0124969482421875,
-0.0232696533203125,
0.01922607421875,
0.0021991729736328125,
-0.05902099609375,
-0.01224517822265625,
-0.042572021484375,
-0.0382080078125,
0.037139892578125,
-0.060455322265625,
0.0211944580078125,
-0.0499267578125,
-0.01381683349609375,
-0.006927490234375,
0.0295562744140625,
-0.060272216796875,
0.0194244384765625,
0.0128326416015625,
0.08612060546875,
-0.0640869140625,
0.05987548828125,
0.075927734375,
-0.046173095703125,
-0.0692138671875,
-0.005859375,
-0.00091552734375,
-0.048126220703125,
0.051025390625,
-0.0027523040771484375,
0.0098876953125,
0.0174560546875,
-0.0633544921875,
-0.0889892578125,
0.10272216796875,
-0.007785797119140625,
-0.0197296142578125,
0.0123748779296875,
-0.00287628173828125,
0.047027587890625,
-0.025848388671875,
0.027984619140625,
0.0220184326171875,
0.04052734375,
0.005466461181640625,
-0.0347900390625,
0.0035724639892578125,
-0.0223388671875,
0.0033168792724609375,
-0.01116943359375,
-0.0736083984375,
0.0882568359375,
-0.024383544921875,
-0.0028285980224609375,
0.01506805419921875,
0.06536865234375,
0.06182861328125,
0.01064300537109375,
0.03216552734375,
0.05694580078125,
0.0293731689453125,
0.0046844482421875,
0.058319091796875,
-0.033782958984375,
0.043731689453125,
0.04998779296875,
-0.0254669189453125,
0.05206298828125,
0.01629638671875,
-0.01837158203125,
0.035919189453125,
0.065185546875,
-0.0270233154296875,
0.041168212890625,
0.01322174072265625,
0.002880096435546875,
-0.0191802978515625,
0.0249786376953125,
-0.04351806640625,
0.01152801513671875,
0.0307769775390625,
0.01222991943359375,
-0.0203704833984375,
-0.005092620849609375,
-0.01340484619140625,
-0.023651123046875,
-0.020050048828125,
0.061126708984375,
-0.00762176513671875,
-0.0577392578125,
0.06256103515625,
0.0082855224609375,
0.032470703125,
-0.0528564453125,
-0.0141448974609375,
-0.0255279541015625,
0.027191162109375,
-0.019378662109375,
-0.0555419921875,
-0.0019321441650390625,
-0.01076507568359375,
-0.003154754638671875,
0.0036792755126953125,
0.040130615234375,
-0.007965087890625,
-0.0155029296875,
0.03472900390625,
0.035125732421875,
0.0268096923828125,
0.0181427001953125,
-0.08416748046875,
-0.007137298583984375,
-0.00446319580078125,
-0.03704833984375,
0.034759521484375,
0.037322998046875,
0.00043129920959472656,
0.06842041015625,
0.046173095703125,
-0.003849029541015625,
0.0150146484375,
-0.0160980224609375,
0.07427978515625,
-0.06683349609375,
-0.046356201171875,
-0.03826904296875,
0.041412353515625,
0.0098419189453125,
-0.043914794921875,
0.0577392578125,
0.06719970703125,
0.0633544921875,
-0.032806396484375,
0.05084228515625,
-0.0166015625,
-0.0020599365234375,
-0.03912353515625,
0.0498046875,
-0.04730224609375,
0.0019464492797851562,
-0.01229095458984375,
-0.0574951171875,
-0.0001386404037475586,
0.053070068359375,
0.0030765533447265625,
0.004299163818359375,
0.048736572265625,
0.077880859375,
-0.019622802734375,
-0.01403045654296875,
0.02398681640625,
0.0259246826171875,
0.0157623291015625,
0.033966064453125,
0.0804443359375,
-0.053985595703125,
0.048736572265625,
-0.043426513671875,
-0.00894927978515625,
-0.0146484375,
-0.0487060546875,
-0.054168701171875,
-0.0251312255859375,
-0.03546142578125,
-0.050689697265625,
0.012939453125,
0.06439208984375,
0.0733642578125,
-0.052734375,
-0.0384521484375,
-0.0032196044921875,
0.001125335693359375,
-0.037445068359375,
-0.0226287841796875,
0.0180206298828125,
-0.0128631591796875,
-0.046630859375,
0.03619384765625,
-0.00875091552734375,
0.009613037109375,
-0.0292510986328125,
-0.034912109375,
-0.023712158203125,
-0.01885986328125,
0.01076507568359375,
0.04644775390625,
-0.043121337890625,
-0.015899658203125,
-0.015838623046875,
-0.0189208984375,
0.002140045166015625,
0.0212554931640625,
-0.0633544921875,
-0.00525665283203125,
0.032806396484375,
0.01456451416015625,
0.063720703125,
0.0007243156433105469,
0.0229339599609375,
-0.039947509765625,
0.01033782958984375,
0.0147552490234375,
0.031951904296875,
0.0083160400390625,
-0.0276031494140625,
0.034698486328125,
0.0278167724609375,
-0.059783935546875,
-0.054046630859375,
-0.01629638671875,
-0.07049560546875,
-0.0263671875,
0.0806884765625,
-0.02935791015625,
-0.04486083984375,
0.0006422996520996094,
-0.008941650390625,
0.0147247314453125,
-0.033477783203125,
0.03302001953125,
0.03253173828125,
-0.0172271728515625,
0.003841400146484375,
-0.052215576171875,
0.05560302734375,
0.004730224609375,
-0.054168701171875,
-0.01605224609375,
0.0433349609375,
0.04071044921875,
0.01311492919921875,
0.03515625,
0.00021207332611083984,
0.0360107421875,
0.0279083251953125,
0.020263671875,
-0.01244354248046875,
-0.030029296875,
-0.04608154296875,
0.0068817138671875,
-0.01134490966796875,
-0.01029205322265625
]
] |
LiamFy/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-26T22:33:31.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | LiamFy | null | null | LiamFy/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-26T22:32:55 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 528.50 +/- 134.41
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga LiamFy -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga LiamFy -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga LiamFy
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,753 | [
[
-0.0433349609375,
-0.040252685546875,
0.0192718505859375,
0.025238037109375,
-0.01064300537109375,
-0.0178070068359375,
0.01049041748046875,
-0.01317596435546875,
0.01293182373046875,
0.02264404296875,
-0.0721435546875,
-0.034210205078125,
-0.0250396728515625,
-0.003986358642578125,
-0.00020110607147216797,
0.07366943359375,
-0.003444671630859375,
0.0097503662109375,
-0.0159759521484375,
-0.01464080810546875,
-0.025146484375,
-0.020416259765625,
-0.052001953125,
-0.03253173828125,
0.0113372802734375,
0.01100921630859375,
0.062286376953125,
0.0728759765625,
0.040069580078125,
0.0270843505859375,
-0.01055145263671875,
-0.0034122467041015625,
-0.0305023193359375,
-0.0034618377685546875,
0.002101898193359375,
-0.016754150390625,
-0.027435302734375,
-0.010345458984375,
0.051422119140625,
0.00618743896484375,
-0.0168609619140625,
0.0192718505859375,
-0.0187530517578125,
0.0311737060546875,
-0.039581298828125,
0.035247802734375,
-0.00885009765625,
0.033233642578125,
0.004482269287109375,
-0.01033782958984375,
0.0031585693359375,
-0.004486083984375,
-0.0015926361083984375,
-0.0855712890625,
0.01357269287109375,
0.0033092498779296875,
0.1016845703125,
0.03924560546875,
-0.0208282470703125,
0.01001739501953125,
-0.046051025390625,
0.051361083984375,
-0.06878662109375,
0.03717041015625,
0.019683837890625,
0.032257080078125,
-0.01544952392578125,
-0.06719970703125,
-0.033782958984375,
-0.0180511474609375,
0.00524139404296875,
0.023345947265625,
-0.00818634033203125,
-0.0023937225341796875,
0.05377197265625,
0.0031795501708984375,
-0.045440673828125,
0.00826263427734375,
-0.0367431640625,
-0.0164337158203125,
0.032470703125,
0.04095458984375,
0.00859832763671875,
-0.012451171875,
-0.036102294921875,
-0.043609619140625,
-0.02667236328125,
0.0338134765625,
0.01392364501953125,
0.01300811767578125,
-0.0287322998046875,
0.042510986328125,
-0.036224365234375,
0.03790283203125,
0.009552001953125,
-0.0156402587890625,
0.0250396728515625,
-0.0212249755859375,
-0.017852783203125,
-0.030242919921875,
0.0650634765625,
0.048675537109375,
-0.0119476318359375,
0.0194091796875,
-0.0257110595703125,
-0.0188751220703125,
0.0089874267578125,
-0.06500244140625,
-0.0250396728515625,
0.041839599609375,
-0.02398681640625,
-0.004146575927734375,
-0.005176544189453125,
-0.056854248046875,
-0.00797271728515625,
-0.00799560546875,
0.032562255859375,
-0.045928955078125,
-0.0128173828125,
0.0005173683166503906,
-0.028778076171875,
0.04290771484375,
0.0215911865234375,
-0.059814453125,
0.0287322998046875,
0.03448486328125,
0.057861328125,
0.00719451904296875,
-0.0499267578125,
-0.0283203125,
0.014495849609375,
-0.02886962890625,
0.05047607421875,
0.00135040283203125,
-0.0233306884765625,
0.0007448196411132812,
0.0123443603515625,
-0.003368377685546875,
-0.034210205078125,
0.024444580078125,
-0.048370361328125,
0.00817108154296875,
-0.007251739501953125,
-0.034820556640625,
-0.0251617431640625,
0.039031982421875,
-0.056121826171875,
0.08795166015625,
0.01216888427734375,
-0.05804443359375,
0.03497314453125,
-0.052001953125,
-0.00373077392578125,
0.0180816650390625,
-0.0027027130126953125,
-0.058746337890625,
-0.03350830078125,
0.013641357421875,
0.039520263671875,
0.0165252685546875,
0.00901031494140625,
-0.035369873046875,
-0.0250701904296875,
0.0112457275390625,
0.0010433197021484375,
0.068359375,
0.01015472412109375,
-0.03033447265625,
0.0181732177734375,
-0.06048583984375,
0.01541900634765625,
0.017059326171875,
-0.04071044921875,
0.00766754150390625,
-0.003459930419921875,
0.01708984375,
0.02667236328125,
0.0259857177734375,
-0.02685546875,
0.0089263916015625,
-0.0259246826171875,
0.034912109375,
0.037139892578125,
0.01959228515625,
0.0148773193359375,
-0.0226593017578125,
0.038543701171875,
0.01343536376953125,
0.0241851806640625,
0.0163726806640625,
-0.024383544921875,
-0.03973388671875,
-0.021392822265625,
-0.00457000732421875,
0.031036376953125,
-0.056732177734375,
0.037445068359375,
-0.01009368896484375,
-0.04058837890625,
-0.0167236328125,
-0.0085296630859375,
0.0309600830078125,
0.0159912109375,
0.037994384765625,
0.01007080078125,
-0.044677734375,
-0.06475830078125,
0.00911712646484375,
-0.0128326416015625,
0.0123443603515625,
0.03607177734375,
0.07745361328125,
-0.02899169921875,
0.05670166015625,
-0.0367431640625,
-0.0164794921875,
-0.00673675537109375,
-0.0196990966796875,
0.02191162109375,
0.056793212890625,
0.04888916015625,
-0.042816162109375,
-0.0266265869140625,
-0.004756927490234375,
-0.07391357421875,
0.03826904296875,
0.0014362335205078125,
-0.00841522216796875,
0.003376007080078125,
0.033538818359375,
-0.07025146484375,
0.03228759765625,
0.018035888671875,
-0.0229644775390625,
0.05072021484375,
-0.0293731689453125,
0.0081939697265625,
-0.0662841796875,
0.0138397216796875,
0.00830078125,
-0.01363372802734375,
-0.0236968994140625,
0.0380859375,
0.0060272216796875,
-0.021148681640625,
-0.0643310546875,
0.053253173828125,
-0.0269775390625,
-0.00783538818359375,
-0.0005464553833007812,
-0.004581451416015625,
-0.0020465850830078125,
0.05126953125,
0.0142822265625,
0.046417236328125,
0.063232421875,
-0.06134033203125,
0.0474853515625,
0.0288848876953125,
-0.0097808837890625,
0.00855255126953125,
-0.048980712890625,
-0.009429931640625,
-0.00140380859375,
0.034637451171875,
-0.055755615234375,
-0.038787841796875,
0.043426513671875,
-0.03619384765625,
0.0079498291015625,
-0.0206451416015625,
-0.0171051025390625,
-0.03759765625,
-0.0218963623046875,
0.0258331298828125,
0.0293731689453125,
-0.0419921875,
0.0264892578125,
0.02166748046875,
0.0170440673828125,
-0.0609130859375,
-0.035003662109375,
-0.0081329345703125,
-0.0305023193359375,
-0.040771484375,
0.0184326171875,
-0.00878143310546875,
-0.011871337890625,
0.01580810546875,
-0.005756378173828125,
-0.008636474609375,
0.010284423828125,
0.0171661376953125,
0.0229339599609375,
-0.0281219482421875,
-0.034820556640625,
-0.0225982666015625,
-0.00811767578125,
0.0284881591796875,
-0.02239990234375,
0.026214599609375,
-0.0218353271484375,
-0.006866455078125,
-0.04608154296875,
-0.00737762451171875,
0.044525146484375,
0.00213623046875,
0.061248779296875,
0.05670166015625,
-0.04241943359375,
-0.022918701171875,
-0.01218414306640625,
-0.017486572265625,
-0.0338134765625,
0.042877197265625,
-0.02532958984375,
-0.039520263671875,
0.05712890625,
0.00830078125,
0.016815185546875,
0.045318603515625,
0.0236358642578125,
-0.01364898681640625,
0.08648681640625,
0.0391845703125,
0.0059356689453125,
0.038330078125,
-0.06756591796875,
-0.0271759033203125,
-0.062469482421875,
-0.03302001953125,
-0.036163330078125,
0.0020809173583984375,
-0.03131103515625,
-0.034759521484375,
0.0301666259765625,
0.00838470458984375,
-0.0511474609375,
0.032073974609375,
-0.0213775634765625,
0.037445068359375,
0.0276641845703125,
0.0101318359375,
-0.018585205078125,
0.00394439697265625,
-0.0263214111328125,
-0.00861358642578125,
-0.06396484375,
-0.021240234375,
0.06536865234375,
0.040069580078125,
0.06036376953125,
0.00848388671875,
0.045440673828125,
0.013580322265625,
-0.00496673583984375,
-0.046875,
0.039459228515625,
0.0125885009765625,
-0.05706787109375,
-0.037261962890625,
-0.024017333984375,
-0.0595703125,
0.035247802734375,
-0.0215301513671875,
-0.053070068359375,
0.011474609375,
0.010498046875,
-0.046234130859375,
0.0177764892578125,
-0.0188140869140625,
0.0782470703125,
-0.01169586181640625,
-0.04803466796875,
-0.0055694580078125,
-0.05450439453125,
0.048583984375,
0.0156402587890625,
0.00785064697265625,
0.004329681396484375,
-0.0092315673828125,
0.06927490234375,
-0.051239013671875,
0.042755126953125,
-0.04302978515625,
0.0236968994140625,
0.03228759765625,
0.004810333251953125,
0.03509521484375,
0.037200927734375,
0.006984710693359375,
0.00775909423828125,
0.01364898681640625,
-0.03656005859375,
-0.032867431640625,
0.05401611328125,
-0.10345458984375,
-0.0361328125,
-0.04974365234375,
-0.0287322998046875,
-0.0033779144287109375,
0.01995849609375,
0.0198974609375,
0.0270843505859375,
-0.017486572265625,
0.0253143310546875,
0.055633544921875,
-0.020172119140625,
0.03436279296875,
0.044403076171875,
-0.017333984375,
-0.04888916015625,
0.057952880859375,
-0.00865936279296875,
-0.0012969970703125,
0.0140228271484375,
0.0009479522705078125,
-0.046051025390625,
-0.03509521484375,
-0.053955078125,
0.01355743408203125,
-0.057220458984375,
-0.0213165283203125,
-0.051666259765625,
-0.045928955078125,
-0.036041259765625,
-0.0008516311645507812,
-0.036285400390625,
-0.0206146240234375,
-0.03033447265625,
-0.00719451904296875,
0.0305023193359375,
0.04217529296875,
-0.0343017578125,
0.030731201171875,
-0.054931640625,
0.02679443359375,
0.0220489501953125,
0.00925445556640625,
-0.00457763671875,
-0.05084228515625,
-0.042205810546875,
0.006320953369140625,
-0.03662109375,
-0.043853759765625,
0.053314208984375,
-0.00028634071350097656,
0.062347412109375,
0.034759521484375,
-0.020416259765625,
0.067138671875,
-0.0190887451171875,
0.0712890625,
0.0043792724609375,
-0.04937744140625,
0.036590576171875,
-0.042236328125,
0.01708984375,
0.026153564453125,
0.03875732421875,
-0.0246124267578125,
-0.0091400146484375,
-0.06121826171875,
-0.060638427734375,
0.08380126953125,
0.0167694091796875,
-0.01374053955078125,
0.01617431640625,
0.033111572265625,
-0.021453857421875,
-0.004131317138671875,
-0.08282470703125,
-0.0274810791015625,
-0.040496826171875,
0.02423095703125,
-0.019012451171875,
0.0229644775390625,
-0.02264404296875,
-0.025665283203125,
0.0780029296875,
-0.01300048828125,
0.0228271484375,
0.0209808349609375,
-0.001796722412109375,
-0.0288238525390625,
-0.018310546875,
0.048736572265625,
0.032867431640625,
-0.04779052734375,
-0.0238189697265625,
0.012725830078125,
-0.02813720703125,
0.0218353271484375,
0.0173797607421875,
-0.009490966796875,
-0.00934600830078125,
0.0311279296875,
0.06939697265625,
0.0233154296875,
-0.0283966064453125,
0.04296875,
-0.0202178955078125,
-0.035430908203125,
-0.034942626953125,
0.0182342529296875,
0.00763702392578125,
0.0300750732421875,
0.01080322265625,
0.0241851806640625,
0.000152587890625,
-0.0216827392578125,
0.01030731201171875,
0.030120849609375,
-0.03521728515625,
-0.0163116455078125,
0.07269287109375,
-0.0021686553955078125,
-0.017791748046875,
0.06341552734375,
-0.0093536376953125,
-0.0302886962890625,
0.08746337890625,
0.03973388671875,
0.056915283203125,
0.0068817138671875,
0.02056884765625,
0.0609130859375,
0.012908935546875,
-0.0228271484375,
0.0199127197265625,
0.0028133392333984375,
-0.059814453125,
-0.0133819580078125,
-0.041717529296875,
-0.038604736328125,
0.03741455078125,
-0.059906005859375,
0.0211334228515625,
-0.05035400390625,
-0.013824462890625,
-0.00702667236328125,
0.0287017822265625,
-0.060302734375,
0.0191192626953125,
0.0141143798828125,
0.08697509765625,
-0.06396484375,
0.060089111328125,
0.0760498046875,
-0.045684814453125,
-0.0693359375,
-0.006683349609375,
-0.0008082389831542969,
-0.04931640625,
0.051605224609375,
-0.002498626708984375,
0.0099029541015625,
0.0177459716796875,
-0.0634765625,
-0.08935546875,
0.10302734375,
-0.00775909423828125,
-0.0193939208984375,
0.0129241943359375,
-0.0023517608642578125,
0.046112060546875,
-0.026947021484375,
0.02825927734375,
0.0220947265625,
0.040924072265625,
0.00689697265625,
-0.034576416015625,
0.0024127960205078125,
-0.022674560546875,
0.002605438232421875,
-0.01088714599609375,
-0.072998046875,
0.0885009765625,
-0.0245208740234375,
-0.00229644775390625,
0.0147705078125,
0.06524658203125,
0.061248779296875,
0.00986480712890625,
0.03265380859375,
0.056121826171875,
0.028778076171875,
0.005138397216796875,
0.057830810546875,
-0.0343017578125,
0.04412841796875,
0.049560546875,
-0.025238037109375,
0.052947998046875,
0.01580810546875,
-0.01849365234375,
0.0352783203125,
0.0657958984375,
-0.0270233154296875,
0.041839599609375,
0.01247406005859375,
0.003147125244140625,
-0.0196990966796875,
0.025238037109375,
-0.042999267578125,
0.0112457275390625,
0.0308837890625,
0.0119781494140625,
-0.020965576171875,
-0.005077362060546875,
-0.01436614990234375,
-0.0233306884765625,
-0.0203399658203125,
0.0606689453125,
-0.007904052734375,
-0.058349609375,
0.062347412109375,
0.008087158203125,
0.032623291015625,
-0.053466796875,
-0.01381683349609375,
-0.02557373046875,
0.0274810791015625,
-0.0193939208984375,
-0.056396484375,
-0.0016307830810546875,
-0.010406494140625,
-0.004261016845703125,
0.0029296875,
0.041046142578125,
-0.00824737548828125,
-0.016143798828125,
0.034088134765625,
0.035308837890625,
0.0262298583984375,
0.0184326171875,
-0.08404541015625,
-0.007061004638671875,
-0.004077911376953125,
-0.037506103515625,
0.034454345703125,
0.03521728515625,
0.001056671142578125,
0.0687255859375,
0.04547119140625,
-0.004558563232421875,
0.01514434814453125,
-0.0168914794921875,
0.073974609375,
-0.06707763671875,
-0.0465087890625,
-0.038421630859375,
0.0421142578125,
0.0106964111328125,
-0.043548583984375,
0.05670166015625,
0.06646728515625,
0.06256103515625,
-0.0333251953125,
0.05047607421875,
-0.016754150390625,
-0.001369476318359375,
-0.039764404296875,
0.050018310546875,
-0.047210693359375,
0.0022125244140625,
-0.010894775390625,
-0.057464599609375,
-0.0005435943603515625,
0.05352783203125,
0.00225830078125,
0.005542755126953125,
0.04815673828125,
0.0787353515625,
-0.0199127197265625,
-0.01363372802734375,
0.0244903564453125,
0.0250701904296875,
0.0159149169921875,
0.0345458984375,
0.08038330078125,
-0.05316162109375,
0.048980712890625,
-0.0433349609375,
-0.00839996337890625,
-0.01409912109375,
-0.04974365234375,
-0.053985595703125,
-0.0243988037109375,
-0.035400390625,
-0.050628662109375,
0.0122833251953125,
0.06475830078125,
0.0733642578125,
-0.052947998046875,
-0.038055419921875,
-0.003910064697265625,
0.0007119178771972656,
-0.037353515625,
-0.0224609375,
0.0181732177734375,
-0.0126800537109375,
-0.04644775390625,
0.037017822265625,
-0.0091094970703125,
0.009918212890625,
-0.0297698974609375,
-0.034912109375,
-0.023773193359375,
-0.0192718505859375,
0.0099029541015625,
0.0479736328125,
-0.04296875,
-0.0168304443359375,
-0.0153656005859375,
-0.01837158203125,
0.0027561187744140625,
0.0211944580078125,
-0.06427001953125,
-0.0041656494140625,
0.032135009765625,
0.01537322998046875,
0.06341552734375,
0.0013284683227539062,
0.0231170654296875,
-0.040802001953125,
0.01108551025390625,
0.0149688720703125,
0.0308380126953125,
0.008758544921875,
-0.0277252197265625,
0.034637451171875,
0.0274658203125,
-0.059906005859375,
-0.05352783203125,
-0.0158843994140625,
-0.0706787109375,
-0.02593994140625,
0.0806884765625,
-0.0290985107421875,
-0.044219970703125,
0.0011205673217773438,
-0.00794219970703125,
0.01369476318359375,
-0.033843994140625,
0.032745361328125,
0.032073974609375,
-0.0176849365234375,
0.0027637481689453125,
-0.051910400390625,
0.055450439453125,
0.004749298095703125,
-0.053375244140625,
-0.0162200927734375,
0.042694091796875,
0.040771484375,
0.013458251953125,
0.035186767578125,
0.001026153564453125,
0.036102294921875,
0.0278472900390625,
0.0204315185546875,
-0.0135345458984375,
-0.0293731689453125,
-0.04620361328125,
0.007183074951171875,
-0.0106048583984375,
-0.01146697998046875
]
] |
AzureBlack/U-Amethyst-20B-exl2 | 2023-11-05T00:08:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AzureBlack | null | null | AzureBlack/U-Amethyst-20B-exl2 | 1 | 2 | transformers | 2023-09-26T22:52:01 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
Exllama 2 version of model created by the work of Undi95
Original Card https://huggingface.co/Undi95/U-Amethyst-20B
Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MIT license.
Main branch is 5bpw 6h
----
Attempt to recreate Amethyst-13B but in 20B. The two model was glued together with a sparkle of [Unholy](Undi95/Unholy-v1-12L-13B).
In addition, [LimaRP v3](https://huggingface.co/lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT) was used, is it recommanded to read the documentation.
<!-- description start -->
## Description
This repo contains fp16 files of Amethyst-20B.
<!-- description end -->
<!-- description start -->
## Models and loras used
- Xwin-LM/Xwin-LM-13B-V0.1
- The-Face-Of-Goonery/Huginn-13b-FP16
- zattio770/120-Days-of-LORA-v2-13B
- lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT
- Undi95/Unholy-v1-12L-13B
<!-- description end -->
<!-- prompt-template start -->
## Prompt template: Alpaca
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```
## LimaRP v3 usage and suggested settings
You can follow these instruction format settings in SillyTavern. Replace tiny with your desired response length:
Special thanks to Sushi.
If you want to support me, you can [here](https://ko-fi.com/undiai). | 1,811 | [
[
-0.03143310546875,
-0.051666259765625,
0.025726318359375,
0.034393310546875,
-0.039337158203125,
-0.006744384765625,
0.0039520263671875,
-0.044586181640625,
0.05535888671875,
0.05694580078125,
-0.060943603515625,
-0.0176849365234375,
-0.028167724609375,
-0.01207733154296875,
-0.003398895263671875,
0.0762939453125,
0.01174163818359375,
-0.007904052734375,
0.00044083595275878906,
-0.004856109619140625,
-0.0369873046875,
-0.01250457763671875,
-0.0616455078125,
-0.027008056640625,
0.018951416015625,
0.035736083984375,
0.059051513671875,
0.042999267578125,
0.0295562744140625,
0.0221099853515625,
-0.019378662109375,
0.0193939208984375,
-0.0258026123046875,
0.0031108856201171875,
-0.006298065185546875,
-0.040557861328125,
-0.068115234375,
0.0014400482177734375,
0.038330078125,
0.0164031982421875,
-0.0184783935546875,
0.01450347900390625,
0.0101318359375,
0.031646728515625,
-0.035247802734375,
0.0119781494140625,
-0.025299072265625,
0.01490020751953125,
-0.031768798828125,
-0.027069091796875,
-0.01528167724609375,
-0.0195465087890625,
-0.011474609375,
-0.06494140625,
-0.0015630722045898438,
0.0224456787109375,
0.06658935546875,
0.01094818115234375,
-0.03082275390625,
-0.0226593017578125,
-0.053558349609375,
0.046875,
-0.0618896484375,
0.0016727447509765625,
0.00949859619140625,
0.0294189453125,
-0.045166015625,
-0.0621337890625,
-0.0399169921875,
0.00891876220703125,
0.0024967193603515625,
0.018096923828125,
-0.043365478515625,
-0.021820068359375,
0.03460693359375,
0.0421142578125,
-0.051177978515625,
0.0066680908203125,
-0.05816650390625,
-0.01413726806640625,
0.0283203125,
0.025787353515625,
0.0224151611328125,
-0.0243988037109375,
-0.041534423828125,
-0.0234375,
-0.061187744140625,
0.0228271484375,
0.0247039794921875,
0.0229034423828125,
-0.05218505859375,
0.04132080078125,
0.0026340484619140625,
0.0303955078125,
0.0134124755859375,
0.007724761962890625,
0.033599853515625,
-0.01111602783203125,
-0.03143310546875,
-0.005725860595703125,
0.0675048828125,
0.027984619140625,
-0.0019550323486328125,
0.02435302734375,
0.018096923828125,
-0.00852203369140625,
0.018463134765625,
-0.0732421875,
-0.01476287841796875,
0.02789306640625,
-0.0287017822265625,
-0.00994110107421875,
0.006633758544921875,
-0.0784912109375,
-0.0205230712890625,
0.006130218505859375,
0.0204620361328125,
-0.02325439453125,
-0.0218505859375,
-0.005077362060546875,
-0.0087890625,
0.027374267578125,
0.033782958984375,
-0.07049560546875,
0.03204345703125,
0.04779052734375,
0.049896240234375,
0.032196044921875,
-0.00601959228515625,
-0.059844970703125,
0.0086517333984375,
-0.0241546630859375,
0.055816650390625,
-0.027862548828125,
-0.050079345703125,
-0.0204620361328125,
0.027374267578125,
0.01007843017578125,
-0.043121337890625,
0.060302734375,
-0.0238037109375,
0.0338134765625,
-0.028961181640625,
-0.0204620361328125,
-0.0333251953125,
-0.00302886962890625,
-0.04046630859375,
0.06549072265625,
0.027313232421875,
-0.052581787109375,
0.002483367919921875,
-0.045379638671875,
-0.004150390625,
0.00688934326171875,
-0.0169219970703125,
-0.035858154296875,
0.031829833984375,
-0.0086822509765625,
0.012298583984375,
-0.0374755859375,
-0.0242767333984375,
-0.034820556640625,
-0.0321044921875,
0.00980377197265625,
-0.0013818740844726562,
0.0745849609375,
0.022308349609375,
-0.040130615234375,
0.01250457763671875,
-0.0653076171875,
0.0294647216796875,
0.02288818359375,
-0.029266357421875,
-0.01136016845703125,
-0.0247802734375,
0.0190582275390625,
0.0208892822265625,
0.02490234375,
-0.057159423828125,
0.0305023193359375,
-0.03759765625,
0.034698486328125,
0.051483154296875,
-0.0051727294921875,
0.0210113525390625,
-0.032958984375,
0.03997802734375,
-0.0026702880859375,
0.0214996337890625,
0.006805419921875,
-0.05389404296875,
-0.07769775390625,
-0.016693115234375,
-0.006908416748046875,
0.0296783447265625,
-0.031829833984375,
0.01543426513671875,
-0.006744384765625,
-0.0599365234375,
-0.042022705078125,
0.0032958984375,
0.0290679931640625,
0.02886962890625,
0.042999267578125,
-0.0362548828125,
-0.05352783203125,
-0.08160400390625,
0.008270263671875,
-0.0206756591796875,
0.00023686885833740234,
0.038543701171875,
0.0364990234375,
-0.0276641845703125,
0.049896240234375,
-0.055633544921875,
-0.048797607421875,
-0.0021152496337890625,
0.0206451416015625,
0.035003662109375,
0.058837890625,
0.055755615234375,
-0.048004150390625,
-0.027740478515625,
-0.00984954833984375,
-0.050994873046875,
-0.009307861328125,
0.00635528564453125,
-0.01265716552734375,
0.0187530517578125,
0.0028171539306640625,
-0.055938720703125,
0.040130615234375,
0.029083251953125,
-0.05389404296875,
0.0296630859375,
-0.057037353515625,
0.0266265869140625,
-0.086669921875,
0.0267333984375,
-0.004840850830078125,
-0.0211944580078125,
-0.050262451171875,
0.028106689453125,
0.0166778564453125,
0.00220489501953125,
-0.0418701171875,
0.053070068359375,
-0.037139892578125,
-0.0051727294921875,
-0.044708251953125,
-0.02337646484375,
0.00402069091796875,
0.033905029296875,
0.0013790130615234375,
0.034881591796875,
0.027984619140625,
-0.0271453857421875,
0.0439453125,
0.0303192138671875,
-0.00443267822265625,
0.054534912109375,
-0.06494140625,
0.01308441162109375,
0.00878143310546875,
0.016510009765625,
-0.06591796875,
-0.032012939453125,
0.056640625,
-0.0335693359375,
0.0270538330078125,
-0.011505126953125,
-0.03741455078125,
-0.0428466796875,
-0.038421630859375,
0.0207366943359375,
0.08135986328125,
-0.035247802734375,
0.05181884765625,
0.022857666015625,
-0.0024585723876953125,
-0.016357421875,
-0.07476806640625,
-0.0034236907958984375,
-0.034271240234375,
-0.0513916015625,
0.035369873046875,
-0.0264739990234375,
-0.007442474365234375,
-0.00473785400390625,
-0.0043487548828125,
-0.01184844970703125,
-0.0113372802734375,
0.04736328125,
0.0191650390625,
-0.003658294677734375,
-0.0435791015625,
0.019378662109375,
-0.032958984375,
0.01065826416015625,
0.01079559326171875,
0.046630859375,
-0.01715087890625,
-0.0218048095703125,
-0.040435791015625,
0.032745361328125,
0.0662841796875,
-0.00963592529296875,
0.035247802734375,
0.044921875,
-0.03765869140625,
-0.002288818359375,
-0.038726806640625,
-0.01042938232421875,
-0.035552978515625,
0.0007081031799316406,
-0.028167724609375,
-0.046539306640625,
0.05438232421875,
0.0426025390625,
0.0119781494140625,
0.0401611328125,
0.04669189453125,
-0.0015668869018554688,
0.0675048828125,
0.044921875,
0.0213623046875,
0.004180908203125,
-0.0296783447265625,
-0.0003211498260498047,
-0.09478759765625,
-0.05255126953125,
-0.023590087890625,
-0.0221405029296875,
-0.040802001953125,
-0.04010009765625,
0.027984619140625,
0.0057220458984375,
-0.0085601806640625,
0.040313720703125,
-0.04168701171875,
0.006542205810546875,
0.04248046875,
0.0007534027099609375,
0.0164794921875,
0.007518768310546875,
0.0084381103515625,
-0.0211944580078125,
-0.0269775390625,
-0.0197906494140625,
0.055816650390625,
0.0250091552734375,
0.064208984375,
0.040008544921875,
0.047576904296875,
0.002025604248046875,
-0.0104827880859375,
-0.0263824462890625,
0.050750732421875,
-0.00533294677734375,
-0.04180908203125,
0.0156097412109375,
-0.0181732177734375,
-0.0648193359375,
0.0285797119140625,
-0.0129852294921875,
-0.063720703125,
0.026641845703125,
0.0243377685546875,
-0.052764892578125,
0.022247314453125,
-0.0241546630859375,
0.053436279296875,
0.0001461505889892578,
-0.035919189453125,
-0.01209259033203125,
-0.043243408203125,
0.026214599609375,
-0.0027599334716796875,
0.01290130615234375,
-0.016571044921875,
-0.005603790283203125,
0.073486328125,
-0.06964111328125,
0.049591064453125,
-0.0211334228515625,
-0.0164794921875,
0.02490234375,
0.0032825469970703125,
0.053741455078125,
0.0180206298828125,
0.0040130615234375,
-0.0158843994140625,
0.0096435546875,
-0.0290069580078125,
-0.044525146484375,
0.07623291015625,
-0.049468994140625,
-0.048797607421875,
-0.046539306640625,
-0.032318115234375,
0.0197296142578125,
-0.0008411407470703125,
0.042694091796875,
0.03912353515625,
0.00952911376953125,
0.0189971923828125,
0.043701171875,
0.006992340087890625,
0.034088134765625,
0.0545654296875,
-0.0263214111328125,
-0.022216796875,
0.050018310546875,
0.0155792236328125,
-0.003261566162109375,
0.00949859619140625,
0.018798828125,
-0.024078369140625,
-0.028045654296875,
-0.035736083984375,
0.02276611328125,
-0.03558349609375,
-0.0098724365234375,
-0.0496826171875,
-0.01262664794921875,
-0.028167724609375,
-0.0140838623046875,
-0.045501708984375,
-0.041961669921875,
-0.049346923828125,
0.028289794921875,
0.047698974609375,
0.040924072265625,
-0.049041748046875,
0.0238037109375,
-0.04888916015625,
0.01020050048828125,
0.02349853515625,
-0.0084228515625,
0.0045928955078125,
-0.07171630859375,
0.01739501953125,
0.020965576171875,
-0.017242431640625,
-0.0732421875,
0.034332275390625,
0.0012845993041992188,
0.0289764404296875,
0.0278167724609375,
0.00521087646484375,
0.058929443359375,
-0.0273895263671875,
0.042510986328125,
0.019866943359375,
-0.060089111328125,
0.058929443359375,
-0.03814697265625,
0.0297698974609375,
0.033660888671875,
0.015411376953125,
-0.04107666015625,
-0.026763916015625,
-0.061004638671875,
-0.0679931640625,
0.050384521484375,
0.026885986328125,
0.0192108154296875,
0.001018524169921875,
0.0249176025390625,
0.00434112548828125,
0.00928497314453125,
-0.055511474609375,
-0.038421630859375,
-0.0138092041015625,
0.012451171875,
0.0141448974609375,
-0.047576904296875,
-0.007083892822265625,
-0.0070037841796875,
0.06890869140625,
0.0018672943115234375,
0.033477783203125,
0.005298614501953125,
0.006450653076171875,
-0.02056884765625,
0.0274810791015625,
0.056640625,
0.042327880859375,
-0.05194091796875,
0.005039215087890625,
0.0006041526794433594,
-0.03472900390625,
0.017181396484375,
0.0180206298828125,
-0.0026798248291015625,
-0.01107025146484375,
0.0129852294921875,
0.042022705078125,
0.03302001953125,
-0.03094482421875,
0.037200927734375,
-0.01123809814453125,
0.005298614501953125,
-0.036834716796875,
0.0233917236328125,
0.00911712646484375,
0.037322998046875,
0.0345458984375,
0.007366180419921875,
0.00799560546875,
-0.048797607421875,
-0.0037784576416015625,
0.03424072265625,
-0.04412841796875,
-0.0307769775390625,
0.06390380859375,
0.0014810562133789062,
-0.023956298828125,
0.04718017578125,
-0.0294189453125,
-0.01141357421875,
0.052947998046875,
0.05694580078125,
0.035980224609375,
-0.0213470458984375,
0.006343841552734375,
0.0340576171875,
0.0176239013671875,
0.01529693603515625,
0.058868408203125,
0.0091705322265625,
-0.013916015625,
0.00005829334259033203,
-0.03900146484375,
-0.018035888671875,
0.0219879150390625,
-0.0653076171875,
0.023223876953125,
-0.06231689453125,
-0.0028629302978515625,
-0.0028934478759765625,
0.01302337646484375,
-0.037384033203125,
0.01508331298828125,
0.00873565673828125,
0.07769775390625,
-0.0692138671875,
0.058502197265625,
0.05377197265625,
-0.03289794921875,
-0.061614990234375,
-0.041259765625,
0.04150390625,
-0.07318115234375,
0.0347900390625,
0.0095977783203125,
0.00628662109375,
-0.00307464599609375,
-0.0217437744140625,
-0.06640625,
0.08538818359375,
0.00951385498046875,
-0.034271240234375,
-0.0007958412170410156,
-0.01038360595703125,
0.0263519287109375,
-0.037445068359375,
0.0330810546875,
0.0156097412109375,
0.031707763671875,
0.033203125,
-0.0721435546875,
0.038726806640625,
-0.03521728515625,
0.01055145263671875,
0.0166015625,
-0.064208984375,
0.07666015625,
-0.0222930908203125,
-0.01097869873046875,
0.059600830078125,
0.061614990234375,
0.042999267578125,
-0.00719451904296875,
0.0198211669921875,
0.0670166015625,
0.053070068359375,
-0.019073486328125,
0.0626220703125,
-0.0016193389892578125,
0.040618896484375,
0.08984375,
-0.018707275390625,
0.05572509765625,
0.0430908203125,
-0.00467681884765625,
0.044677734375,
0.058502197265625,
-0.0272369384765625,
0.03857421875,
0.0128173828125,
-0.0204010009765625,
-0.002582550048828125,
-0.01287078857421875,
-0.0684814453125,
0.0389404296875,
0.0190582275390625,
-0.022308349609375,
-0.03082275390625,
0.00421142578125,
0.03045654296875,
-0.0200958251953125,
-0.023651123046875,
0.0277252197265625,
0.0020961761474609375,
-0.03302001953125,
0.032257080078125,
0.01580810546875,
0.05511474609375,
-0.061431884765625,
-0.005962371826171875,
-0.023284912109375,
0.0167999267578125,
-0.033294677734375,
-0.058837890625,
0.03131103515625,
-0.0093231201171875,
-0.0196533203125,
0.00896453857421875,
0.043853759765625,
-0.02447509765625,
-0.031768798828125,
0.028533935546875,
0.0255279541015625,
0.035491943359375,
0.010894775390625,
-0.06243896484375,
0.035919189453125,
0.01727294921875,
-0.0263519287109375,
0.0257415771484375,
-0.0020084381103515625,
0.01462554931640625,
0.0443115234375,
0.03765869140625,
0.00896453857421875,
0.00013554096221923828,
-0.0300750732421875,
0.0657958984375,
-0.0360107421875,
-0.0404052734375,
-0.06817626953125,
0.048797607421875,
-0.0076751708984375,
-0.0308685302734375,
0.067138671875,
0.061126708984375,
0.032196044921875,
-0.01026153564453125,
0.034942626953125,
-0.0281829833984375,
0.0247344970703125,
-0.048736572265625,
0.058013916015625,
-0.061431884765625,
0.0080108642578125,
-0.00693511962890625,
-0.0872802734375,
-0.00063323974609375,
0.059478759765625,
0.005084991455078125,
0.00182342529296875,
0.04449462890625,
0.07049560546875,
-0.025482177734375,
0.0014677047729492188,
0.00853729248046875,
0.020050048828125,
0.0300140380859375,
0.0740966796875,
0.05279541015625,
-0.043609619140625,
0.0243377685546875,
-0.0305633544921875,
-0.0247039794921875,
-0.023284912109375,
-0.061553955078125,
-0.05401611328125,
-0.039031982421875,
-0.036956787109375,
-0.0408935546875,
-0.011077880859375,
0.07745361328125,
0.06781005859375,
-0.038604736328125,
-0.01593017578125,
0.00901031494140625,
-0.0145111083984375,
0.02130126953125,
-0.0170135498046875,
0.019256591796875,
0.0277099609375,
-0.058837890625,
0.033233642578125,
0.025787353515625,
0.052093505859375,
-0.004856109619140625,
-0.004566192626953125,
-0.004940032958984375,
0.0027446746826171875,
0.006908416748046875,
0.05914306640625,
-0.0543212890625,
-0.0236053466796875,
-0.0300140380859375,
0.0127716064453125,
0.01490020751953125,
0.03656005859375,
-0.048583984375,
0.0194854736328125,
0.03704833984375,
-0.00998687744140625,
0.047698974609375,
-0.02337646484375,
0.0272064208984375,
-0.042144775390625,
0.02728271484375,
-0.003459930419921875,
0.048309326171875,
0.01259613037109375,
-0.0283203125,
0.03814697265625,
0.0189666748046875,
-0.033233642578125,
-0.06024169921875,
0.01448822021484375,
-0.09796142578125,
-0.0159149169921875,
0.06573486328125,
-0.012725830078125,
-0.0361328125,
0.01458740234375,
-0.02557373046875,
-0.0014467239379882812,
-0.0316162109375,
0.0249786376953125,
0.0203094482421875,
-0.02349853515625,
-0.0144195556640625,
-0.0296783447265625,
0.03424072265625,
0.021026611328125,
-0.0689697265625,
-0.0005440711975097656,
0.0255889892578125,
0.0218963623046875,
0.041778564453125,
0.0655517578125,
-0.019500732421875,
0.038299560546875,
-0.0111541748046875,
0.0010013580322265625,
-0.03533935546875,
-0.012298583984375,
-0.0278167724609375,
0.01300811767578125,
-0.006313323974609375,
-0.0103607177734375
]
] |
hzsushiqiren/my_distillBert_qa_model | 2023-09-27T04:52:33.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hzsushiqiren | null | null | hzsushiqiren/my_distillBert_qa_model | 0 | 2 | transformers | 2023-09-27T02:24:12 | ---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: my_distillBert_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_distillBert_qa_model
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5008
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 47 | 0.8511 |
| No log | 2.0 | 94 | 0.4609 |
| No log | 3.0 | 141 | 0.5008 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,410 | [
[
-0.0267486572265625,
-0.0462646484375,
0.0205535888671875,
0.0178070068359375,
-0.0276947021484375,
-0.0241241455078125,
0.0027217864990234375,
0.001575469970703125,
0.004016876220703125,
0.01873779296875,
-0.051300048828125,
-0.048797607421875,
-0.055145263671875,
-0.0096282958984375,
-0.0276031494140625,
0.0936279296875,
0.006618499755859375,
0.033935546875,
-0.01105499267578125,
-0.006542205810546875,
-0.036163330078125,
-0.062744140625,
-0.059478759765625,
-0.0479736328125,
0.0194854736328125,
0.01136016845703125,
0.054779052734375,
0.055877685546875,
0.04095458984375,
0.017364501953125,
-0.037353515625,
-0.016387939453125,
-0.05224609375,
-0.032958984375,
-0.0016222000122070312,
-0.040008544921875,
-0.05841064453125,
0.0022335052490234375,
0.045684814453125,
0.0302581787109375,
-0.028411865234375,
0.04443359375,
0.0104522705078125,
0.04754638671875,
-0.045562744140625,
0.02496337890625,
-0.039093017578125,
0.0152435302734375,
-0.00994873046875,
-0.02667236328125,
-0.025390625,
-0.0098114013671875,
0.0054168701171875,
-0.03564453125,
0.039154052734375,
-0.004230499267578125,
0.089599609375,
0.038726806640625,
-0.0270538330078125,
0.006038665771484375,
-0.0665283203125,
0.04071044921875,
-0.055572509765625,
0.01898193359375,
0.0258026123046875,
0.039947509765625,
-0.0005311965942382812,
-0.06427001953125,
-0.040252685546875,
0.00015294551849365234,
-0.0017290115356445312,
0.01081085205078125,
-0.0213165283203125,
0.006122589111328125,
0.060089111328125,
0.04840087890625,
-0.03955078125,
0.007110595703125,
-0.045318603515625,
-0.01849365234375,
0.048095703125,
0.04193115234375,
-0.0260009765625,
-0.0024929046630859375,
-0.036834716796875,
-0.0166473388671875,
-0.02294921875,
0.019805908203125,
0.041473388671875,
0.0076751708984375,
-0.0207366943359375,
0.03924560546875,
-0.0299072265625,
0.05645751953125,
0.023529052734375,
-0.0177154541015625,
0.040771484375,
0.0033512115478515625,
-0.036529541015625,
-0.002201080322265625,
0.05694580078125,
0.045928955078125,
0.0120391845703125,
0.01038360595703125,
-0.0266876220703125,
-0.01422119140625,
0.01071929931640625,
-0.0809326171875,
-0.041351318359375,
0.01056671142578125,
-0.042999267578125,
-0.045501708984375,
0.006458282470703125,
-0.033935546875,
0.006084442138671875,
-0.0296478271484375,
0.043701171875,
-0.02850341796875,
-0.013885498046875,
0.02142333984375,
-0.0175323486328125,
0.0220184326171875,
0.01336669921875,
-0.055267333984375,
0.0300750732421875,
0.0206756591796875,
0.037750244140625,
0.014068603515625,
-0.020294189453125,
-0.019622802734375,
-0.0115966796875,
-0.0207061767578125,
0.0279998779296875,
0.002460479736328125,
-0.033935546875,
-0.01515960693359375,
0.0168304443359375,
-0.008056640625,
-0.042633056640625,
0.07159423828125,
-0.0318603515625,
0.0214691162109375,
-0.01308441162109375,
-0.04736328125,
-0.022735595703125,
0.024566650390625,
-0.054656982421875,
0.0877685546875,
0.01541900634765625,
-0.060638427734375,
0.040191650390625,
-0.030120849609375,
-0.007068634033203125,
0.00228118896484375,
-0.0020542144775390625,
-0.06353759765625,
0.01105499267578125,
0.0006718635559082031,
0.034423828125,
-0.0171966552734375,
0.02783203125,
-0.031463623046875,
-0.04119873046875,
0.007396697998046875,
-0.05084228515625,
0.07177734375,
0.01413726806640625,
-0.029998779296875,
0.00064849853515625,
-0.09014892578125,
0.0199432373046875,
0.0290069580078125,
-0.03662109375,
-0.00127410888671875,
-0.02783203125,
0.02728271484375,
0.020416259765625,
0.0308380126953125,
-0.0330810546875,
0.016937255859375,
-0.010589599609375,
0.023651123046875,
0.041412353515625,
0.01007843017578125,
-0.0005369186401367188,
-0.029205322265625,
0.01812744140625,
0.02496337890625,
0.046051025390625,
0.022674560546875,
-0.0255126953125,
-0.076171875,
-0.0168304443359375,
0.034454345703125,
0.02667236328125,
-0.0297393798828125,
0.0533447265625,
0.0011119842529296875,
-0.05364990234375,
-0.0285186767578125,
0.005435943603515625,
0.0304718017578125,
0.0555419921875,
0.035003662109375,
-0.005645751953125,
-0.02630615234375,
-0.0909423828125,
0.019256591796875,
-0.0115509033203125,
0.011199951171875,
-0.004566192626953125,
0.0447998046875,
-0.0067138671875,
0.059173583984375,
-0.047698974609375,
-0.0169677734375,
-0.01297760009765625,
0.006710052490234375,
0.044921875,
0.04681396484375,
0.058349609375,
-0.036895751953125,
-0.0200347900390625,
-0.03204345703125,
-0.056304931640625,
0.0170135498046875,
-0.006961822509765625,
-0.0215606689453125,
-0.0133056640625,
0.01453399658203125,
-0.03289794921875,
0.05615234375,
0.02520751953125,
-0.0194854736328125,
0.0545654296875,
-0.028472900390625,
-0.00365447998046875,
-0.08709716796875,
0.01410675048828125,
0.0146484375,
-0.00795745849609375,
-0.027191162109375,
-0.006572723388671875,
0.00998687744140625,
-0.0078277587890625,
-0.04119873046875,
0.031463623046875,
-0.0083465576171875,
0.021484375,
-0.0189971923828125,
-0.034271240234375,
0.0224609375,
0.05987548828125,
0.01206207275390625,
0.03631591796875,
0.053619384765625,
-0.0511474609375,
0.034088134765625,
0.03570556640625,
-0.01015472412109375,
0.0411376953125,
-0.0770263671875,
0.0037860870361328125,
-0.007755279541015625,
0.0016527175903320312,
-0.04913330078125,
0.0009918212890625,
0.0269775390625,
-0.03155517578125,
0.0259552001953125,
-0.02349853515625,
-0.029876708984375,
-0.031463623046875,
-0.00885772705078125,
0.0233612060546875,
0.04229736328125,
-0.04241943359375,
0.022491455078125,
-0.00890350341796875,
0.026885986328125,
-0.037994384765625,
-0.04742431640625,
-0.02777099609375,
-0.0216217041015625,
-0.025665283203125,
0.01541900634765625,
-0.0080718994140625,
0.001361846923828125,
-0.003509521484375,
-0.01279449462890625,
-0.03057861328125,
0.0021495819091796875,
0.032928466796875,
0.029296875,
-0.009063720703125,
0.0019550323486328125,
0.006031036376953125,
-0.0211334228515625,
0.02215576171875,
0.002552032470703125,
0.038238525390625,
-0.01448822021484375,
-0.0242919921875,
-0.07281494140625,
-0.01033782958984375,
0.0411376953125,
-0.012481689453125,
0.062225341796875,
0.0457763671875,
-0.040252685546875,
-0.0032711029052734375,
-0.03289794921875,
-0.01439666748046875,
-0.032073974609375,
0.0369873046875,
-0.04217529296875,
-0.0182037353515625,
0.04638671875,
0.0019092559814453125,
0.0024089813232421875,
0.08355712890625,
0.041534423828125,
-0.0006990432739257812,
0.07952880859375,
0.028045654296875,
-0.01056671142578125,
0.016204833984375,
-0.0718994140625,
-0.01117706298828125,
-0.054656982421875,
-0.0328369140625,
-0.040252685546875,
-0.0241546630859375,
-0.047821044921875,
0.0013780593872070312,
0.019073486328125,
0.033935546875,
-0.042510986328125,
0.0287628173828125,
-0.043060302734375,
0.024078369140625,
0.05670166015625,
0.0252227783203125,
0.01413726806640625,
-0.0012998580932617188,
-0.0104827880859375,
-0.00003892183303833008,
-0.06927490234375,
-0.0396728515625,
0.092529296875,
0.04443359375,
0.063232421875,
-0.0164642333984375,
0.06353759765625,
0.00984954833984375,
0.00820159912109375,
-0.04986572265625,
0.0229644775390625,
0.0108642578125,
-0.06988525390625,
-0.01377105712890625,
-0.028289794921875,
-0.043304443359375,
0.0091552734375,
-0.0294342041015625,
-0.0360107421875,
0.024261474609375,
0.0245513916015625,
-0.036773681640625,
0.027313232421875,
-0.033843994140625,
0.0838623046875,
-0.030975341796875,
-0.02813720703125,
-0.005466461181640625,
-0.0270538330078125,
0.01311492919921875,
0.00630950927734375,
-0.02886962890625,
-0.006526947021484375,
0.02691650390625,
0.0584716796875,
-0.0462646484375,
0.041778564453125,
-0.0338134765625,
0.0284881591796875,
0.03704833984375,
-0.0101165771484375,
0.041290283203125,
0.0276947021484375,
-0.01519775390625,
0.0318603515625,
0.02001953125,
-0.042144775390625,
-0.03466796875,
0.046051025390625,
-0.078125,
-0.016387939453125,
-0.05145263671875,
-0.0239105224609375,
-0.0012073516845703125,
0.006412506103515625,
0.048583984375,
0.05364990234375,
-0.01532745361328125,
0.01515960693359375,
0.03924560546875,
-0.0002321004867553711,
0.0220184326171875,
0.02886962890625,
-0.0017852783203125,
-0.032806396484375,
0.05987548828125,
-0.009521484375,
0.0118560791015625,
-0.0008039474487304688,
0.002643585205078125,
-0.040130615234375,
-0.0499267578125,
-0.04986572265625,
0.01293182373046875,
-0.055206298828125,
-0.0225372314453125,
-0.02191162109375,
-0.044677734375,
-0.0153045654296875,
0.0220184326171875,
-0.0362548828125,
-0.02703857421875,
-0.04827880859375,
-0.0255126953125,
0.0284423828125,
0.035858154296875,
0.0108489990234375,
0.049407958984375,
-0.049346923828125,
-0.00664520263671875,
0.01337432861328125,
0.0299072265625,
0.0026149749755859375,
-0.06585693359375,
-0.02740478515625,
0.01029205322265625,
-0.045654296875,
-0.051727294921875,
0.029449462890625,
0.0105743408203125,
0.051483154296875,
0.045074462890625,
0.0033702850341796875,
0.068359375,
-0.0220489501953125,
0.049468994140625,
0.0257568359375,
-0.047637939453125,
0.0288848876953125,
-0.006145477294921875,
0.018096923828125,
0.0584716796875,
0.047088623046875,
-0.00038051605224609375,
-0.006900787353515625,
-0.08355712890625,
-0.051300048828125,
0.050262451171875,
0.031280517578125,
0.00766754150390625,
0.006999969482421875,
0.03533935546875,
-0.0037384033203125,
0.0214691162109375,
-0.0618896484375,
-0.047637939453125,
-0.0230255126953125,
-0.0005412101745605469,
0.00015652179718017578,
-0.032073974609375,
-0.0194091796875,
-0.04986572265625,
0.07830810546875,
0.0034999847412109375,
0.0102386474609375,
0.01413726806640625,
0.006412506103515625,
-0.0002789497375488281,
0.00255584716796875,
0.03485107421875,
0.056671142578125,
-0.048675537109375,
-0.01300048828125,
0.0195159912109375,
-0.02044677734375,
0.007015228271484375,
0.024078369140625,
-0.0089874267578125,
0.0189971923828125,
0.0195159912109375,
0.0811767578125,
-0.00882720947265625,
-0.01342010498046875,
0.03857421875,
-0.01971435546875,
-0.042022705078125,
-0.04058837890625,
0.0052947998046875,
-0.009246826171875,
0.0222320556640625,
0.0278472900390625,
0.01512908935546875,
0.021087646484375,
-0.00844573974609375,
0.016845703125,
0.0124359130859375,
-0.04510498046875,
-0.0200042724609375,
0.06561279296875,
0.01096343994140625,
-0.0118255615234375,
0.063232421875,
-0.0236358642578125,
-0.016845703125,
0.059326171875,
0.02593994140625,
0.0670166015625,
0.0018863677978515625,
0.003055572509765625,
0.06005859375,
0.009918212890625,
-0.011444091796875,
0.0303802490234375,
0.015960693359375,
-0.030120849609375,
-0.0174102783203125,
-0.06787109375,
-0.01030731201171875,
0.051300048828125,
-0.0924072265625,
0.034454345703125,
-0.04364013671875,
-0.04461669921875,
0.0196990966796875,
0.00510406494140625,
-0.07745361328125,
0.042999267578125,
0.0021514892578125,
0.083984375,
-0.07220458984375,
0.06256103515625,
0.03857421875,
-0.042327880859375,
-0.07452392578125,
-0.0167694091796875,
-0.017425537109375,
-0.054779052734375,
0.06005859375,
-0.0011587142944335938,
0.026397705078125,
0.00800323486328125,
-0.0265960693359375,
-0.050567626953125,
0.0841064453125,
0.0243988037109375,
-0.0684814453125,
0.0070037841796875,
0.0210418701171875,
0.056365966796875,
-0.0064544677734375,
0.044952392578125,
0.02056884765625,
0.01111602783203125,
0.02313232421875,
-0.0732421875,
-0.011016845703125,
-0.018524169921875,
0.01177978515625,
0.0108795166015625,
-0.051361083984375,
0.079833984375,
-0.0001289844512939453,
0.01502227783203125,
0.0137176513671875,
0.04052734375,
0.01352691650390625,
0.0271759033203125,
0.027618408203125,
0.07666015625,
0.032135009765625,
-0.01505279541015625,
0.0711669921875,
-0.048583984375,
0.0635986328125,
0.08990478515625,
-0.0030994415283203125,
0.0400390625,
0.0291595458984375,
-0.02398681640625,
0.0230560302734375,
0.06671142578125,
-0.02783203125,
0.037353515625,
0.0223846435546875,
-0.004119873046875,
-0.0287933349609375,
0.01708984375,
-0.05029296875,
0.031463623046875,
-0.00998687744140625,
-0.04998779296875,
-0.0257568359375,
-0.02276611328125,
-0.0112152099609375,
-0.0170745849609375,
-0.02777099609375,
0.04681396484375,
-0.01751708984375,
-0.01560211181640625,
0.0748291015625,
0.00939178466796875,
0.0230255126953125,
-0.036102294921875,
-0.015411376953125,
-0.01174163818359375,
0.0303192138671875,
-0.021728515625,
-0.028778076171875,
0.01800537109375,
-0.01207733154296875,
-0.026702880859375,
0.00919342041015625,
0.0225982666015625,
-0.019317626953125,
-0.06866455078125,
0.00701904296875,
0.034942626953125,
0.017791748046875,
-0.0099029541015625,
-0.07586669921875,
-0.0110015869140625,
-0.003437042236328125,
-0.0269775390625,
0.014923095703125,
0.02349853515625,
-0.0008482933044433594,
0.0389404296875,
0.04010009765625,
-0.004924774169921875,
0.000652313232421875,
0.013336181640625,
0.08416748046875,
-0.036529541015625,
-0.029022216796875,
-0.0631103515625,
0.04364013671875,
-0.017181396484375,
-0.0640869140625,
0.045074462890625,
0.08349609375,
0.071044921875,
-0.015869140625,
0.0369873046875,
0.005153656005859375,
0.0226593017578125,
-0.03399658203125,
0.052459716796875,
-0.0345458984375,
-0.004978179931640625,
-0.00927734375,
-0.07012939453125,
0.01187896728515625,
0.04217529296875,
-0.01540374755859375,
0.003437042236328125,
0.0367431640625,
0.0494384765625,
-0.007076263427734375,
-0.006465911865234375,
0.0247955322265625,
-0.0013246536254882812,
0.007274627685546875,
0.03570556640625,
0.0404052734375,
-0.0711669921875,
0.0362548828125,
-0.055999755859375,
-0.0207977294921875,
-0.007541656494140625,
-0.045928955078125,
-0.07720947265625,
-0.03009033203125,
-0.038665771484375,
-0.03472900390625,
0.0030364990234375,
0.05865478515625,
0.06036376953125,
-0.056671142578125,
-0.022735595703125,
0.006458282470703125,
-0.02288818359375,
-0.0235748291015625,
-0.019317626953125,
0.0300750732421875,
-0.005344390869140625,
-0.0625,
-0.007781982421875,
-0.0193328857421875,
0.022979736328125,
-0.0208740234375,
-0.016265869140625,
-0.01207733154296875,
-0.027191162109375,
0.01837158203125,
-0.002017974853515625,
-0.0266876220703125,
-0.0101318359375,
-0.003936767578125,
-0.005496978759765625,
0.009613037109375,
0.0204620361328125,
-0.03594970703125,
0.0279998779296875,
0.020843505859375,
0.016998291015625,
0.061553955078125,
0.0035610198974609375,
0.018707275390625,
-0.054779052734375,
0.030914306640625,
0.0237884521484375,
0.037322998046875,
0.0019702911376953125,
-0.029205322265625,
0.031219482421875,
0.0277557373046875,
-0.0396728515625,
-0.05206298828125,
-0.0128631591796875,
-0.07611083984375,
0.01007843017578125,
0.07598876953125,
-0.0040130615234375,
-0.02935791015625,
0.0294342041015625,
-0.0219573974609375,
0.028045654296875,
-0.0225982666015625,
0.05419921875,
0.049896240234375,
-0.01105499267578125,
0.0096588134765625,
-0.041656494140625,
0.03912353515625,
0.0205078125,
-0.041961669921875,
-0.0220794677734375,
0.038543701171875,
0.045928955078125,
0.00447845458984375,
0.0279083251953125,
-0.01131439208984375,
0.0233306884765625,
0.0062408447265625,
0.02777099609375,
-0.040679931640625,
-0.0218048095703125,
-0.03546142578125,
0.0014543533325195312,
0.0203857421875,
-0.050201416015625
]
] |
Zpwang-AI/dqn-SpaceInvadersNoFrameskip-v4 | 2023-09-27T03:19:15.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Zpwang-AI | null | null | Zpwang-AI/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-27T03:18:48 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 265.50 +/- 57.68
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Zpwang-AI -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga Zpwang-AI -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga Zpwang-AI
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 300000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,760 | [
[
-0.042938232421875,
-0.038970947265625,
0.0197601318359375,
0.025390625,
-0.0123138427734375,
-0.0173187255859375,
0.0099029541015625,
-0.0130462646484375,
0.0125274658203125,
0.021514892578125,
-0.07177734375,
-0.0352783203125,
-0.0251312255859375,
-0.004154205322265625,
0.0001951456069946289,
0.074462890625,
-0.0038585662841796875,
0.0097503662109375,
-0.015869140625,
-0.0147857666015625,
-0.0242767333984375,
-0.020538330078125,
-0.05169677734375,
-0.0318603515625,
0.010711669921875,
0.01094818115234375,
0.061920166015625,
0.072021484375,
0.03961181640625,
0.027313232421875,
-0.0098724365234375,
-0.0031452178955078125,
-0.0309600830078125,
-0.00428009033203125,
0.0029048919677734375,
-0.01837158203125,
-0.027984619140625,
-0.0106964111328125,
0.05206298828125,
0.00626373291015625,
-0.01715087890625,
0.0188751220703125,
-0.01910400390625,
0.0308685302734375,
-0.038909912109375,
0.03570556640625,
-0.00872802734375,
0.032867431640625,
0.00348663330078125,
-0.00946807861328125,
0.004108428955078125,
-0.005794525146484375,
-0.001129150390625,
-0.0869140625,
0.01424407958984375,
0.0036602020263671875,
0.102294921875,
0.0389404296875,
-0.021087646484375,
0.009002685546875,
-0.04449462890625,
0.051666259765625,
-0.06976318359375,
0.036407470703125,
0.0198822021484375,
0.0313720703125,
-0.015380859375,
-0.06787109375,
-0.03411865234375,
-0.0172271728515625,
0.004810333251953125,
0.024383544921875,
-0.0072479248046875,
-0.0028972625732421875,
0.052703857421875,
0.0037593841552734375,
-0.0455322265625,
0.00860595703125,
-0.037261962890625,
-0.01605224609375,
0.03302001953125,
0.041748046875,
0.00937652587890625,
-0.0125732421875,
-0.03570556640625,
-0.044036865234375,
-0.02618408203125,
0.033599853515625,
0.014892578125,
0.01294708251953125,
-0.029022216796875,
0.041778564453125,
-0.03680419921875,
0.037384033203125,
0.00937652587890625,
-0.0163116455078125,
0.026031494140625,
-0.0221405029296875,
-0.0174102783203125,
-0.029571533203125,
0.06634521484375,
0.04876708984375,
-0.01244354248046875,
0.0192413330078125,
-0.024261474609375,
-0.0189666748046875,
0.00815582275390625,
-0.06524658203125,
-0.0249786376953125,
0.042236328125,
-0.024627685546875,
-0.0043792724609375,
-0.004039764404296875,
-0.056793212890625,
-0.00739288330078125,
-0.007266998291015625,
0.0322265625,
-0.045867919921875,
-0.01357269287109375,
0.00011581182479858398,
-0.0298614501953125,
0.0428466796875,
0.0219573974609375,
-0.059478759765625,
0.02813720703125,
0.034515380859375,
0.05841064453125,
0.007045745849609375,
-0.04931640625,
-0.028900146484375,
0.0144500732421875,
-0.0294036865234375,
0.050048828125,
0.0007128715515136719,
-0.0237579345703125,
0.0005049705505371094,
0.01197052001953125,
-0.003688812255859375,
-0.033905029296875,
0.0258331298828125,
-0.047882080078125,
0.00917816162109375,
-0.008087158203125,
-0.034454345703125,
-0.0255279541015625,
0.037841796875,
-0.055572509765625,
0.088134765625,
0.0130767822265625,
-0.05804443359375,
0.034912109375,
-0.050872802734375,
-0.00411224365234375,
0.0190277099609375,
-0.00257110595703125,
-0.0592041015625,
-0.032623291015625,
0.013946533203125,
0.039825439453125,
0.016693115234375,
0.0086822509765625,
-0.0350341796875,
-0.0254669189453125,
0.01062774658203125,
0.002567291259765625,
0.06988525390625,
0.0101776123046875,
-0.03021240234375,
0.01800537109375,
-0.06103515625,
0.01568603515625,
0.017547607421875,
-0.040557861328125,
0.006275177001953125,
-0.002429962158203125,
0.016754150390625,
0.0264434814453125,
0.026397705078125,
-0.0269622802734375,
0.00952911376953125,
-0.026947021484375,
0.034423828125,
0.03790283203125,
0.01910400390625,
0.01435089111328125,
-0.022216796875,
0.03802490234375,
0.01401519775390625,
0.0231781005859375,
0.016357421875,
-0.02459716796875,
-0.039306640625,
-0.0211639404296875,
-0.004253387451171875,
0.0310211181640625,
-0.057830810546875,
0.037506103515625,
-0.0107574462890625,
-0.04107666015625,
-0.0166473388671875,
-0.00884246826171875,
0.0308074951171875,
0.01531219482421875,
0.037628173828125,
0.00970458984375,
-0.044677734375,
-0.06341552734375,
0.00881195068359375,
-0.01424407958984375,
0.011322021484375,
0.03515625,
0.07672119140625,
-0.02838134765625,
0.0555419921875,
-0.037445068359375,
-0.0178985595703125,
-0.006809234619140625,
-0.01995849609375,
0.0218353271484375,
0.055389404296875,
0.049346923828125,
-0.042510986328125,
-0.0276947021484375,
-0.003963470458984375,
-0.07427978515625,
0.03759765625,
0.0011425018310546875,
-0.0088348388671875,
0.003940582275390625,
0.033203125,
-0.070068359375,
0.031280517578125,
0.0179443359375,
-0.0242462158203125,
0.04998779296875,
-0.0289459228515625,
0.00780487060546875,
-0.06658935546875,
0.01324462890625,
0.00812530517578125,
-0.012786865234375,
-0.023956298828125,
0.038909912109375,
0.00624847412109375,
-0.0196533203125,
-0.06414794921875,
0.053131103515625,
-0.0275726318359375,
-0.0074462890625,
0.00002372264862060547,
-0.0036487579345703125,
-0.0022220611572265625,
0.051788330078125,
0.0134735107421875,
0.0458984375,
0.06304931640625,
-0.061309814453125,
0.047119140625,
0.0301055908203125,
-0.01100921630859375,
0.0084228515625,
-0.049468994140625,
-0.0093231201171875,
-0.0011396408081054688,
0.034271240234375,
-0.0567626953125,
-0.038726806640625,
0.044342041015625,
-0.036895751953125,
0.0079803466796875,
-0.0206451416015625,
-0.01806640625,
-0.03717041015625,
-0.0231170654296875,
0.0255279541015625,
0.029693603515625,
-0.042510986328125,
0.0260467529296875,
0.0210418701171875,
0.01708984375,
-0.06024169921875,
-0.034332275390625,
-0.0090179443359375,
-0.03045654296875,
-0.040008544921875,
0.0190277099609375,
-0.009552001953125,
-0.01207733154296875,
0.0159149169921875,
-0.006885528564453125,
-0.007518768310546875,
0.010833740234375,
0.0172576904296875,
0.0230560302734375,
-0.0283660888671875,
-0.0357666015625,
-0.02142333984375,
-0.00774383544921875,
0.0284423828125,
-0.0212249755859375,
0.0263671875,
-0.0223388671875,
-0.006771087646484375,
-0.046142578125,
-0.007843017578125,
0.044097900390625,
0.0019140243530273438,
0.0616455078125,
0.057373046875,
-0.04180908203125,
-0.0222625732421875,
-0.0104522705078125,
-0.01538848876953125,
-0.0338134765625,
0.04327392578125,
-0.02545166015625,
-0.040252685546875,
0.056549072265625,
0.00836181640625,
0.01788330078125,
0.045623779296875,
0.0236358642578125,
-0.01318359375,
0.0865478515625,
0.0384521484375,
0.00476837158203125,
0.037872314453125,
-0.06719970703125,
-0.0268402099609375,
-0.0634765625,
-0.033111572265625,
-0.036590576171875,
0.002445220947265625,
-0.0316162109375,
-0.03509521484375,
0.030029296875,
0.00888824462890625,
-0.05035400390625,
0.031463623046875,
-0.020904541015625,
0.0369873046875,
0.02789306640625,
0.0099029541015625,
-0.0182037353515625,
0.003864288330078125,
-0.02557373046875,
-0.00815582275390625,
-0.06365966796875,
-0.02020263671875,
0.06622314453125,
0.0399169921875,
0.0592041015625,
0.00897216796875,
0.046417236328125,
0.01253509521484375,
-0.00516510009765625,
-0.046875,
0.03900146484375,
0.01194000244140625,
-0.055999755859375,
-0.037017822265625,
-0.0244903564453125,
-0.05902099609375,
0.0362548828125,
-0.0206146240234375,
-0.052459716796875,
0.01152801513671875,
0.0098419189453125,
-0.04669189453125,
0.0172119140625,
-0.018798828125,
0.07733154296875,
-0.0120391845703125,
-0.046417236328125,
-0.0054168701171875,
-0.05487060546875,
0.0489501953125,
0.015289306640625,
0.007671356201171875,
0.0035762786865234375,
-0.00980377197265625,
0.0692138671875,
-0.05078125,
0.042510986328125,
-0.04345703125,
0.0228729248046875,
0.032196044921875,
0.003612518310546875,
0.03448486328125,
0.0369873046875,
0.007396697998046875,
0.0099945068359375,
0.01384735107421875,
-0.036651611328125,
-0.0322265625,
0.053985595703125,
-0.1046142578125,
-0.036712646484375,
-0.05035400390625,
-0.0272064208984375,
-0.0027370452880859375,
0.0203857421875,
0.0204620361328125,
0.026702880859375,
-0.0178375244140625,
0.0250701904296875,
0.054718017578125,
-0.0204010009765625,
0.0347900390625,
0.044342041015625,
-0.01654052734375,
-0.049285888671875,
0.058624267578125,
-0.00873565673828125,
-0.0014667510986328125,
0.0143280029296875,
0.0009064674377441406,
-0.0452880859375,
-0.035247802734375,
-0.054473876953125,
0.013824462890625,
-0.056976318359375,
-0.0218658447265625,
-0.0518798828125,
-0.046112060546875,
-0.035491943359375,
0.0002340078353881836,
-0.03546142578125,
-0.021209716796875,
-0.030029296875,
-0.007152557373046875,
0.0299072265625,
0.04193115234375,
-0.03369140625,
0.03082275390625,
-0.054473876953125,
0.02850341796875,
0.021820068359375,
0.009857177734375,
-0.0038852691650390625,
-0.050872802734375,
-0.043212890625,
0.006710052490234375,
-0.036224365234375,
-0.04345703125,
0.0531005859375,
0.0010223388671875,
0.0626220703125,
0.035247802734375,
-0.019500732421875,
0.06719970703125,
-0.0199737548828125,
0.0721435546875,
0.0036487579345703125,
-0.050048828125,
0.03619384765625,
-0.041595458984375,
0.01751708984375,
0.025360107421875,
0.0389404296875,
-0.0250244140625,
-0.0106201171875,
-0.060333251953125,
-0.0615234375,
0.085693359375,
0.016815185546875,
-0.01415252685546875,
0.01519775390625,
0.033599853515625,
-0.021270751953125,
-0.004589080810546875,
-0.08251953125,
-0.0281829833984375,
-0.04144287109375,
0.0231781005859375,
-0.0190887451171875,
0.0230560302734375,
-0.0220184326171875,
-0.0256805419921875,
0.07843017578125,
-0.012969970703125,
0.0236053466796875,
0.0214691162109375,
-0.001850128173828125,
-0.029388427734375,
-0.0190887451171875,
0.0496826171875,
0.03277587890625,
-0.04669189453125,
-0.0240631103515625,
0.01216888427734375,
-0.028564453125,
0.0214691162109375,
0.017730712890625,
-0.00896453857421875,
-0.0084381103515625,
0.031402587890625,
0.06988525390625,
0.021697998046875,
-0.0286865234375,
0.042938232421875,
-0.0211334228515625,
-0.035980224609375,
-0.03521728515625,
0.019012451171875,
0.00830841064453125,
0.0300750732421875,
0.01177978515625,
0.0232391357421875,
0.00018608570098876953,
-0.02154541015625,
0.00872039794921875,
0.030426025390625,
-0.033660888671875,
-0.01629638671875,
0.07330322265625,
-0.0024929046630859375,
-0.0169525146484375,
0.06390380859375,
-0.00974273681640625,
-0.0308837890625,
0.08721923828125,
0.039459228515625,
0.056732177734375,
0.00641632080078125,
0.0203094482421875,
0.0615234375,
0.0128173828125,
-0.0230255126953125,
0.0187835693359375,
0.0022068023681640625,
-0.06036376953125,
-0.01323699951171875,
-0.04193115234375,
-0.03826904296875,
0.037384033203125,
-0.059600830078125,
0.0212249755859375,
-0.05010986328125,
-0.01236724853515625,
-0.00760650634765625,
0.0302886962890625,
-0.059326171875,
0.018951416015625,
0.0139312744140625,
0.086181640625,
-0.0638427734375,
0.060577392578125,
0.07562255859375,
-0.045440673828125,
-0.068603515625,
-0.00478363037109375,
-0.0009579658508300781,
-0.049835205078125,
0.05145263671875,
-0.0019969940185546875,
0.01045989990234375,
0.01715087890625,
-0.06317138671875,
-0.08984375,
0.10357666015625,
-0.00882720947265625,
-0.0192108154296875,
0.01323699951171875,
-0.003154754638671875,
0.0467529296875,
-0.025054931640625,
0.02752685546875,
0.0219268798828125,
0.0399169921875,
0.005466461181640625,
-0.03466796875,
0.0027942657470703125,
-0.0238800048828125,
0.0032405853271484375,
-0.0100860595703125,
-0.0745849609375,
0.0885009765625,
-0.0246429443359375,
-0.0033721923828125,
0.015350341796875,
0.06658935546875,
0.06170654296875,
0.01020050048828125,
0.032989501953125,
0.05621337890625,
0.0290679931640625,
0.004199981689453125,
0.057403564453125,
-0.033599853515625,
0.0433349609375,
0.050048828125,
-0.0258941650390625,
0.052703857421875,
0.01490020751953125,
-0.0188751220703125,
0.0361328125,
0.06573486328125,
-0.026763916015625,
0.042449951171875,
0.011688232421875,
0.0025634765625,
-0.0179901123046875,
0.0263519287109375,
-0.04364013671875,
0.01143646240234375,
0.03143310546875,
0.01253509521484375,
-0.020172119140625,
-0.005481719970703125,
-0.013824462890625,
-0.023345947265625,
-0.020172119140625,
0.0609130859375,
-0.00788116455078125,
-0.058502197265625,
0.062347412109375,
0.00952911376953125,
0.033203125,
-0.05340576171875,
-0.01427459716796875,
-0.02581787109375,
0.0269622802734375,
-0.0194549560546875,
-0.056060791015625,
-0.0014333724975585938,
-0.01129913330078125,
-0.003231048583984375,
0.003383636474609375,
0.03985595703125,
-0.008453369140625,
-0.015960693359375,
0.033782958984375,
0.034912109375,
0.0263214111328125,
0.0183868408203125,
-0.08319091796875,
-0.006961822509765625,
-0.0027618408203125,
-0.037384033203125,
0.035064697265625,
0.036224365234375,
0.0008502006530761719,
0.06756591796875,
0.046051025390625,
-0.0043182373046875,
0.015350341796875,
-0.016693115234375,
0.07373046875,
-0.066650390625,
-0.046905517578125,
-0.038665771484375,
0.042236328125,
0.009796142578125,
-0.043914794921875,
0.0576171875,
0.0667724609375,
0.0643310546875,
-0.032806396484375,
0.051300048828125,
-0.0177001953125,
-0.0008039474487304688,
-0.039947509765625,
0.0504150390625,
-0.0472412109375,
0.002193450927734375,
-0.01195526123046875,
-0.05706787109375,
-0.00042557716369628906,
0.054779052734375,
0.0033931732177734375,
0.00543975830078125,
0.047760009765625,
0.07696533203125,
-0.0187530517578125,
-0.01407623291015625,
0.02435302734375,
0.025543212890625,
0.01605224609375,
0.035491943359375,
0.07977294921875,
-0.05419921875,
0.048858642578125,
-0.04400634765625,
-0.0087738037109375,
-0.01412200927734375,
-0.049285888671875,
-0.055419921875,
-0.0253753662109375,
-0.03582763671875,
-0.04986572265625,
0.01165771484375,
0.06463623046875,
0.07220458984375,
-0.05255126953125,
-0.0379638671875,
-0.0036449432373046875,
0.0011425018310546875,
-0.0369873046875,
-0.0227203369140625,
0.0187530517578125,
-0.01288604736328125,
-0.047088623046875,
0.036834716796875,
-0.0091552734375,
0.0094757080078125,
-0.0282440185546875,
-0.035125732421875,
-0.0235595703125,
-0.020172119140625,
0.01061248779296875,
0.047210693359375,
-0.043914794921875,
-0.0157012939453125,
-0.015899658203125,
-0.0174102783203125,
0.00304412841796875,
0.020660400390625,
-0.06414794921875,
-0.004367828369140625,
0.03228759765625,
0.0149383544921875,
0.06292724609375,
0.0013151168823242188,
0.023101806640625,
-0.041656494140625,
0.01104736328125,
0.0136566162109375,
0.0311126708984375,
0.00856781005859375,
-0.0282440185546875,
0.035369873046875,
0.0276947021484375,
-0.059326171875,
-0.053466796875,
-0.0166015625,
-0.07037353515625,
-0.0271453857421875,
0.08038330078125,
-0.02947998046875,
-0.04364013671875,
0.0010986328125,
-0.00910186767578125,
0.01458740234375,
-0.0330810546875,
0.03289794921875,
0.032623291015625,
-0.01690673828125,
0.002349853515625,
-0.0516357421875,
0.055816650390625,
0.00443267822265625,
-0.05389404296875,
-0.016448974609375,
0.042022705078125,
0.040435791015625,
0.01336669921875,
0.03582763671875,
0.00037407875061035156,
0.035888671875,
0.0272674560546875,
0.0201416015625,
-0.01296234130859375,
-0.02886962890625,
-0.0465087890625,
0.006702423095703125,
-0.01010894775390625,
-0.011566162109375
]
] |
Aixile/Qwen-VL | 2023-09-27T04:36:36.000Z | [
"transformers",
"pytorch",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2308.12966",
"region:us"
] | text-generation | Aixile | null | null | Aixile/Qwen-VL | 1 | 2 | transformers | 2023-09-27T04:38:30 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-VL
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_vl.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-VL <a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">🤖 <a> | <a href="https://huggingface.co/Qwen/Qwen-VL">🤗</a>  ｜ Qwen-VL-Chat <a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary">🤖 <a>| <a href="https://huggingface.co/Qwen/Qwen-VL-Chat">🤗</a>  ｜ Qwen-VL-Chat-Int4 <a href="https://huggingface.co/Qwen/Qwen-VL-Chat-Int4">🤗</a>
<br>
<a href="assets/wechat.png">WeChat</a>   |   <a href="https://discord.gg/z3GAxXZ9Ce">Discord</a>   |   <a href="https://modelscope.cn/studios/qwen/Qwen-VL-Chat-Demo/summary">Demo</a>  ｜  <a href="https://arxiv.org/abs/2308.12966">Report</a>
</p>
<br>
**Qwen-VL** 是阿里云研发的大规模视觉语言模型（Large Vision Language Model, LVLM）。Qwen-VL 可以以图像、文本、检测框作为输入，并以文本和检测框作为输出。Qwen-VL 系列模型性能强大，具备多语言对话、多图交错对话等能力，并支持中文开放域定位和细粒度图像识别与理解。
**Qwen-VL** (Qwen Large Vision Language Model) is the visual multimodal version of the large model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-VL accepts image, text, and bounding box as inputs, outputs text and bounding box. The features of Qwen-VL include:
目前，我们提供了Qwen-VL和Qwen-VL-Chat两个模型，分别为预训练模型和Chat模型。如果想了解更多关于模型的信息，请点击[链接](https://github.com/QwenLM/Qwen-VL/blob/master/visual_memo.md)查看我们的技术备忘录。本仓库为Qwen-VL-Chat仓库。
We release Qwen-VL and Qwen-VL-Chat, which are pretrained model and Chat model respectively. For more details about Qwen-VL, please refer to our [technical memo](https://github.com/QwenLM/Qwen-VL/blob/master/visual_memo.md). This repo is the one for Qwen-VL.
<br>
## 安装要求 (Requirements)
* python 3.8及以上版本
* pytorch 1.12及以上版本，推荐2.0及以上版本
* 建议使用CUDA 11.4及以上（GPU用户需考虑此选项）
* python 3.8 and above
* pytorch 1.12 and above, 2.0 and above are recommended
* CUDA 11.4 and above are recommended (this is for GPU users)
<br>
## 快速开始 (Quickstart)
我们提供简单的示例来说明如何利用 🤗 Transformers 快速使用 Qwen-VL。
在开始前，请确保你已经配置好环境并安装好相关的代码包。最重要的是，确保你满足上述要求，然后安装相关的依赖库。
Below, we provide simple examples to show how to use Qwen-VL with 🤗 Transformers.
Before running the code, make sure you have setup the environment and installed the required packages. Make sure you meet the above requirements, and then install the dependent libraries.
```bash
pip install -r requirements.txt
```
接下来你可以开始使用Transformers来使用我们的模型。关于视觉模块的更多用法，请参考[教程](TUTORIAL.md)。
Now you can start with Transformers. More usage aboue vision encoder, please refer to [tutorial](TUTORIAL_zh.md).
#### 🤗 Transformers
To use Qwen-VL for the inference, all you need to do is to input a few lines of codes as demonstrated below. However, **please make sure that you are using the latest code.**
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.generation import GenerationConfig
import torch
torch.manual_seed(1234)
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-VL", trust_remote_code=True)
# use bf16
# model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL", device_map="auto", trust_remote_code=True, bf16=True).eval()
# use fp16
# model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL", device_map="auto", trust_remote_code=True, fp16=True).eval()
# use cpu only
# model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL", device_map="cpu", trust_remote_code=True).eval()
# use cuda device
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL", device_map="cuda", trust_remote_code=True).eval()
# Specify hyperparameters for generation (No need to do this if you are using transformers>=4.32.0)
# model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-VL", trust_remote_code=True)
query = tokenizer.from_list_format([
{'image': 'https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg'},
{'text': 'Generate the caption in English with grounding:'},
])
inputs = tokenizer(query, return_tensors='pt')
inputs = inputs.to(model.device)
pred = model.generate(**inputs)
response = tokenizer.decode(pred.cpu()[0], skip_special_tokens=False)
print(response)
# <img>https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg</img>Generate the caption in English with grounding:<ref> Woman</ref><box>(451,379),(731,806)</box> and<ref> her dog</ref><box>(219,424),(576,896)</box> playing on the beach<|endoftext|>
image = tokenizer.draw_bbox_on_latest_picture(response)
if image:
image.save('2.jpg')
else:
print("no box")
```
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo_spotting_caption.jpg" width="500"/>
<p>
<br>
## 评测
我们从两个角度评测了两个模型的能力：
1. 在**英文标准 Benchmark** 上评测模型的基础任务能力。目前评测了四大类多模态任务：
- Zero-shot Caption: 评测模型在未见过数据集上的零样本图片描述能力；
- General VQA: 评测模型的通用问答能力，例如判断题、颜色、个数、类目等问答能力；
- Text-based VQA：评测模型对于图片中文字相关的识别/问答能力，例如文档问答、图表问答、文字问答等；
- Referring Expression Compression：评测模型给定物体描述画检测框的能力；
2. **试金石 (TouchStone)**：为了评测模型整体的图文对话能力和人类对齐水平。我们为此构建了一个基于 GPT4 打分来评测 LVLM 模型的 Benchmark：TouchStone。在 TouchStone-v0.1 中：
- 评测基准总计涵盖 300+张图片、800+道题目、27个类别。包括基础属性问答、人物地标问答、影视作品问答、视觉推理、反事实推理、诗歌创作、故事写作，商品比较、图片解题等**尽可能广泛的类别**。
- 为了弥补目前 GPT4 无法直接读取图片的缺陷，我们给所有的带评测图片提供了**人工标注的充分详细描述**，并且将图片的详细描述、问题和模型的输出结果一起交给 GPT4 打分。
- 评测同时包含英文版本和中文版本。
评测结果如下：
We evaluated the model's ability from two perspectives:
1. **Standard Benchmarks**: We evaluate the model's basic task capabilities on four major categories of multimodal tasks:
- Zero-shot Caption: Evaluate model's zero-shot image captioning ability on unseen datasets;
- General VQA: Evaluate the general question-answering ability of pictures, such as the judgment, color, number, category, etc;
- Text-based VQA: Evaluate the model's ability to recognize text in pictures, such as document QA, chart QA, etc;
- Referring Expression Comprehension: Evaluate the ability to localize a target object in an image described by a referring expression.
2. **TouchStone**: To evaluate the overall text-image dialogue capability and alignment level with humans, we have constructed a benchmark called TouchStone, which is based on scoring with GPT4 to evaluate the LVLM model.
- The TouchStone benchmark covers a total of 300+ images, 800+ questions, and 27 categories. Such as attribute-based Q&A, celebrity recognition, writing poetry, summarizing multiple images, product comparison, math problem solving, etc;
- In order to break the current limitation of GPT4 in terms of direct image input, TouchStone provides fine-grained image annotations by human labeling. These detailed annotations, along with the questions and the model's output, are then presented to GPT4 for scoring.
- The benchmark includes both English and Chinese versions.
The results of the evaluation are as follows:
Qwen-VL outperforms current SOTA generalist models on multiple VL tasks and has a more comprehensive coverage in terms of capability range.
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/radar.png" width="600"/>
<p>
### 零样本图像描述 & 通用视觉问答 (Zero-shot Captioning & General VQA)
<table>
<thead>
<tr>
<th rowspan="2">Model type</th>
<th rowspan="2">Model</th>
<th colspan="2">Zero-shot Captioning</th>
<th colspan="5">General VQA</th>
</tr>
<tr>
<th>NoCaps</th>
<th>Flickr30K</th>
<th>VQAv2<sup>dev</sup></th>
<th>OK-VQA</th>
<th>GQA</th>
<th>SciQA-Img<br>(0-shot)</th>
<th>VizWiz<br>(0-shot)</th>
</tr>
</thead>
<tbody align="center">
<tr>
<td rowspan="10">Generalist<br>Models</td>
<td>Flamingo-9B</td>
<td>-</td>
<td>61.5</td>
<td>51.8</td>
<td>44.7</td>
<td>-</td>
<td>-</td>
<td>28.8</td>
</tr>
<tr>
<td>Flamingo-80B</td>
<td>-</td>
<td>67.2</td>
<td>56.3</td>
<td>50.6</td>
<td>-</td>
<td>-</td>
<td>31.6</td>
</tr>
<tr>
<td>Unified-IO-XL</td>
<td>100.0</td>
<td>-</td>
<td>77.9</td>
<td>54.0</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Kosmos-1</td>
<td>-</td>
<td>67.1</td>
<td>51.0</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>29.2</td>
</tr>
<tr>
<td>Kosmos-2</td>
<td>-</td>
<td>66.7</td>
<td>45.6</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>BLIP-2 (Vicuna-13B)</td>
<td>103.9</td>
<td>71.6</td>
<td>65.0</td>
<td>45.9</td>
<td>32.3</td>
<td>61.0</td>
<td>19.6</td>
</tr>
<tr>
<td>InstructBLIP (Vicuna-13B)</td>
<td><strong>121.9</strong></td>
<td>82.8</td>
<td>-</td>
<td>-</td>
<td>49.5</td>
<td>63.1</td>
<td>33.4</td>
</tr>
<tr>
<td>Shikra (Vicuna-13B)</td>
<td>-</td>
<td>73.9</td>
<td>77.36</td>
<td>47.16</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td><strong>Qwen-VL (Qwen-7B)</strong></td>
<td>121.4</td>
<td><b>85.8</b></td>
<td><b>78.8</b></td>
<td><b>58.6</b></td>
<td><b>59.3</b></td>
<td>67.1</td>
<td>35.2</td>
</tr>
<!-- <tr>
<td>Qwen-VL (4-shot)</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>63.6</td>
<td>-</td>
<td>-</td>
<td>39.1</td>
</tr> -->
<tr>
<td>Qwen-VL-Chat</td>
<td>120.2</td>
<td>81.0</td>
<td>78.2</td>
<td>56.6</td>
<td>57.5</td>
<td><b>68.2</b></td>
<td><b>38.9</b></td>
</tr>
<!-- <tr>
<td>Qwen-VL-Chat (4-shot)</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>60.6</td>
<td>-</td>
<td>-</td>
<td>44.45</td>
</tr> -->
<tr>
<td>Previous SOTA<br>(Per Task Fine-tuning)</td>
<td>-</td>
<td>127.0<br>(PALI-17B)</td>
<td>84.5<br>(InstructBLIP<br>-FlanT5-XL)</td>
<td>86.1<br>(PALI-X<br>-55B)</td>
<td>66.1<br>(PALI-X<br>-55B)</td>
<td>72.1<br>(CFR)</td>
<td>92.53<br>(LLaVa+<br>GPT-4)</td>
<td>70.9<br>(PALI-X<br>-55B)</td>
</tr>
</tbody>
</table>
- 在 Zero-shot Caption 中，Qwen-VL 在 Flickr30K 数据集上取得了 **SOTA** 的结果，并在 Nocaps 数据集上取得了和 InstructBlip 可竞争的结果。
- 在 General VQA 中，Qwen-VL 取得了 LVLM 模型同等量级和设定下 **SOTA** 的结果。
- For zero-shot image captioning, Qwen-VL achieves the **SOTA** on Flickr30K and competitive results on Nocaps with InstructBlip.
- For general VQA, Qwen-VL achieves the **SOTA** under the same generalist LVLM scale settings.
### 文本导向的视觉问答 (Text-oriented VQA)
<table>
<thead>
<tr>
<th>Model type</th>
<th>Model</th>
<th>TextVQA</th>
<th>DocVQA</th>
<th>ChartQA</th>
<th>AI2D</th>
<th>OCR-VQA</th>
</tr>
</thead>
<tbody align="center">
<tr>
<td rowspan="5">Generalist Models</td>
<td>BLIP-2 (Vicuna-13B)</td>
<td>42.4</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>InstructBLIP (Vicuna-13B)</td>
<td>50.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>mPLUG-DocOwl (LLaMA-7B)</td>
<td>52.6</td>
<td>62.2</td>
<td>57.4</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Pic2Struct-Large (1.3B)</td>
<td>-</td>
<td><b>76.6</b></td>
<td>58.6</td>
<td>42.1</td>
<td>71.3</td>
</tr>
<tr>
<td>Qwen-VL (Qwen-7B)</td>
<td><b>63.8</b></td>
<td>65.1</td>
<td><b>65.7</b></td>
<td><b>62.3</b></td>
<td><b>75.7</b></td>
</tr>
<tr>
<td>Specialist SOTAs<br>(Specialist/Finetuned)</td>
<td>PALI-X-55B (Single-task FT)<br>(Without OCR Pipeline)</td>
<td>71.44</td>
<td>80.0</td>
<td>70.0</td>
<td>81.2</td>
<td>75.0</td>
</tr>
</tbody>
</table>
- 在文字相关的识别/问答评测上，取得了当前规模下通用 LVLM 达到的最好结果。
- 分辨率对上述某几个评测非常重要，大部分 224 分辨率的开源 LVLM 模型无法完成以上评测，或只能通过切图的方式解决。Qwen-VL 将分辨率提升到 448，可以直接以端到端的方式进行以上评测。Qwen-VL 在很多任务上甚至超过了 1024 分辨率的 Pic2Struct-Large 模型。
- In text-related recognition/QA evaluation, Qwen-VL achieves the SOTA under the generalist LVLM scale settings.
- Resolution is important for several above evaluations. While most open-source LVLM models with 224 resolution are incapable of these evaluations or can only solve these by cutting images, Qwen-VL scales the resolution to 448 so that it can be evaluated end-to-end. Qwen-VL even outperforms Pic2Struct-Large models of 1024 resolution on some tasks.
### 细粒度视觉定位 (Referring Expression Comprehension)
<table>
<thead>
<tr>
<th rowspan="2">Model type</th>
<th rowspan="2">Model</th>
<th colspan="3">RefCOCO</th>
<th colspan="3">RefCOCO+</th>
<th colspan="2">RefCOCOg</th>
<th>GRIT</th>
</tr>
<tr>
<th>val</th>
<th>test-A</th>
<th>test-B</th>
<th>val</th>
<th>test-A</th>
<th>test-B</th>
<th>val-u</th>
<th>test-u</th>
<th>refexp</th>
</tr>
</thead>
<tbody align="center">
<tr>
<td rowspan="8">Generalist Models</td>
<td>GPV-2</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>51.50</td>
</tr>
<tr>
<td>OFA-L*</td>
<td>79.96</td>
<td>83.67</td>
<td>76.39</td>
<td>68.29</td>
<td>76.00</td>
<td>61.75</td>
<td>67.57</td>
<td>67.58</td>
<td>61.70</td>
</tr>
<tr>
<td>Unified-IO</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td><b>78.61</b></td>
</tr>
<tr>
<td>VisionLLM-H</td>
<td></td>
<td>86.70</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Shikra-7B</td>
<td>87.01</td>
<td>90.61</td>
<td>80.24 </td>
<td>81.60</td>
<td>87.36</td>
<td>72.12</td>
<td>82.27</td>
<td>82.19</td>
<td>69.34</td>
</tr>
<tr>
<td>Shikra-13B</td>
<td>87.83 </td>
<td>91.11</td>
<td>81.81</td>
<td>82.89</td>
<td>87.79</td>
<td>74.41</td>
<td>82.64</td>
<td>83.16</td>
<td>69.03</td>
</tr>
<tr>
<td>Qwen-VL-7B</td>
<td><b>89.36</b></td>
<td>92.26</td>
<td><b>85.34</b></td>
<td><b>83.12</b></td>
<td>88.25</td>
<td><b>77.21</b></td>
<td>85.58</td>
<td>85.48</td>
<td>78.22</td>
</tr>
<tr>
<td>Qwen-VL-7B-Chat</td>
<td>88.55</td>
<td><b>92.27</b></td>
<td>84.51</td>
<td>82.82</td>
<td><b>88.59</b></td>
<td>76.79</td>
<td><b>85.96</b></td>
<td><b>86.32</b></td>
<td>-</td>
<tr>
<td rowspan="3">Specialist SOTAs<br>(Specialist/Finetuned)</td>
<td>G-DINO-L</td>
<td>90.56 </td>
<td>93.19</td>
<td>88.24</td>
<td>82.75</td>
<td>88.95</td>
<td>75.92</td>
<td>86.13</td>
<td>87.02</td>
<td>-</td>
</tr>
<tr>
<td>UNINEXT-H</td>
<td>92.64 </td>
<td>94.33</td>
<td>91.46</td>
<td>85.24</td>
<td>89.63</td>
<td>79.79</td>
<td>88.73</td>
<td>89.37</td>
<td>-</td>
</tr>
<tr>
<td>ONE-PEACE</td>
<td>92.58 </td>
<td>94.18</td>
<td>89.26</td>
<td>88.77</td>
<td>92.21</td>
<td>83.23</td>
<td>89.22</td>
<td>89.27</td>
<td>-</td>
</tr>
</tbody>
</table>
- 在定位任务上，Qwen-VL 全面超过 Shikra-13B，取得了目前 Generalist LVLM 模型上在 Refcoco 上的 **SOTA**。
- Qwen-VL 并没有在任何中文定位数据上训练过，但通过中文 Caption 数据和 英文 Grounding 数据的训练，可以 Zero-shot 泛化出中文 Grounding 能力。
我们提供了以上**所有**评测脚本以供复现我们的实验结果。请阅读 [eval/EVALUATION.md](eval/EVALUATION.md) 了解更多信息。
- Qwen-VL achieves the **SOTA** in all above referring expression comprehension benchmarks.
- Qwen-VL has not been trained on any Chinese grounding data, but it can still generalize to the Chinese Grounding tasks in a zero-shot way by training Chinese Caption data and English Grounding data.
We provide all of the above evaluation scripts for reproducing our experimental results. Please read [eval/EVALUATION.md](eval/EVALUATION.md) for more information.
### 闲聊能力测评 (Chat Evaluation)
TouchStone 是一个基于 GPT4 打分来评测 LVLM 模型的图文对话能力和人类对齐水平的基准。它涵盖了 300+张图片、800+道题目、27个类别，包括基础属性、人物地标、视觉推理、诗歌创作、故事写作、商品比较、图片解题等**尽可能广泛的类别**。关于 TouchStone 的详细介绍，请参考[touchstone/README_CN.md](touchstone/README_CN.md)了解更多信息。
TouchStone is a benchmark based on scoring with GPT4 to evaluate the abilities of the LVLM model on text-image dialogue and alignment levels with humans. It covers a total of 300+ images, 800+ questions, and 27 categories, such as attribute-based Q&A, celebrity recognition, writing poetry, summarizing multiple images, product comparison, math problem solving, etc. Please read [touchstone/README_CN.md](touchstone/README.md) for more information.
#### 英语 (English)
| Model | Score |
|---------------|-------|
| PandaGPT | 488.5 |
| MiniGPT4 | 531.7 |
| InstructBLIP | 552.4 |
| LLaMA-AdapterV2 | 590.1 |
| mPLUG-Owl | 605.4 |
| LLaVA | 602.7 |
| Qwen-VL-Chat | 645.2 |
#### 中文 (Chinese)
| Model | Score |
|---------------|-------|
| VisualGLM | 247.1 |
| Qwen-VL-Chat | 401.2 |
Qwen-VL-Chat 模型在中英文的对齐评测中均取得当前 LVLM 模型下的最好结果。
Qwen-VL-Chat has achieved the best results in both Chinese and English alignment evaluation.
<br>
## 常见问题 (FAQ)
如遇到问题，敬请查阅 [FAQ](https://github.com/QwenLM/Qwen-VL/blob/master/FAQ_zh.md)以及issue区，如仍无法解决再提交issue。
If you meet problems, please refer to [FAQ](https://github.com/QwenLM/Qwen-VL/blob/master/FAQ.md) and the issues first to search a solution before you launch a new issue.
<br>
## 使用协议 (License Agreement)
研究人员与开发者可使用Qwen-VL和Qwen-VL-Chat或进行二次开发。我们同样允许商业使用，具体细节请查看[LICENSE](https://github.com/QwenLM/Qwen-VL/blob/master/LICENSE)。如需商用，请填写[问卷](https://dashscope.console.aliyun.com/openModelApply/qianwen)申请。
Researchers and developers are free to use the codes and model weights of both Qwen-VL and Qwen-VL-Chat. We also allow their commercial use. Check our license at [LICENSE](LICENSE) for more details.
<br>
## 引用 (Citation)[](https://)
如果你觉得我们的论文和代码对你的研究有帮助，请考虑:star: 和引用 :pencil: :)
If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil: :)
```BibTeX
@article{Qwen-VL,
title={Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities},
author={Bai, Jinze and Bai, Shuai and Yang, Shusheng and Wang, Shijie and Tan, Sinan and Wang, Peng and Lin, Junyang and Zhou, Chang and Zhou, Jingren},
journal={arXiv preprint arXiv:2308.12966},
year={2023}
}
```
<br>
## 联系我们 (Contact Us)
如果你想给我们的研发团队和产品团队留言，请通过邮件（qianwen_opensource@alibabacloud.com）联系我们。
If you are interested to leave a message to either our research team or product team, feel free to send an email to qianwen_opensource@alibabacloud.com.
| 18,726 | [
[
-0.0382080078125,
-0.0345458984375,
0.0150909423828125,
0.00739288330078125,
-0.03131103515625,
-0.01171875,
0.0025730133056640625,
-0.045806884765625,
-0.00327301025390625,
0.0273590087890625,
-0.05487060546875,
-0.046875,
-0.029083251953125,
0.002872467041015625,
-0.0192718505859375,
0.044464111328125,
-0.0022182464599609375,
-0.0099639892578125,
0.002307891845703125,
-0.017608642578125,
-0.0219268798828125,
-0.0272979736328125,
-0.033355712890625,
-0.00548553466796875,
0.025970458984375,
0.00992584228515625,
0.0615234375,
0.041290283203125,
0.044586181640625,
0.031280517578125,
0.00006026029586791992,
0.0232696533203125,
-0.0243988037109375,
-0.0180511474609375,
0.006439208984375,
-0.040771484375,
-0.035797119140625,
0.0030231475830078125,
0.050018310546875,
0.00789642333984375,
0.01328277587890625,
0.0184173583984375,
0.005977630615234375,
0.03887939453125,
-0.02532958984375,
0.01348876953125,
-0.023956298828125,
0.0118408203125,
-0.00946807861328125,
-0.00820159912109375,
-0.006702423095703125,
-0.0294342041015625,
0.01415252685546875,
-0.059051513671875,
0.01345062255859375,
0.03460693359375,
0.11383056640625,
0.01019287109375,
-0.033966064453125,
0.00917816162109375,
-0.03302001953125,
0.0841064453125,
-0.07232666015625,
0.0231170654296875,
0.0189971923828125,
0.025909423828125,
-0.0017518997192382812,
-0.07586669921875,
-0.062286376953125,
-0.0218505859375,
-0.0230255126953125,
0.031280517578125,
-0.0241241455078125,
-0.0052947998046875,
0.037750244140625,
0.0196380615234375,
-0.0386962890625,
-0.007747650146484375,
-0.0293121337890625,
-0.0241546630859375,
0.05426025390625,
0.01415252685546875,
0.048431396484375,
-0.023773193359375,
-0.040283203125,
-0.0162811279296875,
-0.03729248046875,
0.0182647705078125,
0.006000518798828125,
-0.0013275146484375,
-0.044281005859375,
0.033355712890625,
-0.01654052734375,
0.04693603515625,
0.01129913330078125,
-0.0271759033203125,
0.038970947265625,
-0.03741455078125,
-0.0249481201171875,
-0.032440185546875,
0.095703125,
0.060211181640625,
0.004638671875,
0.0118408203125,
-0.005157470703125,
-0.0115814208984375,
-0.01001739501953125,
-0.07208251953125,
-0.018524169921875,
0.039764404296875,
-0.049163818359375,
-0.031219482421875,
0.00044846534729003906,
-0.046234130859375,
-0.00931549072265625,
0.007717132568359375,
0.050506591796875,
-0.038970947265625,
-0.034027099609375,
0.0016813278198242188,
-0.0168914794921875,
0.0287933349609375,
0.0291900634765625,
-0.049041748046875,
0.005035400390625,
0.00643157958984375,
0.058624267578125,
0.0014972686767578125,
-0.036163330078125,
-0.0183563232421875,
-0.004161834716796875,
-0.0112457275390625,
0.038330078125,
0.00600433349609375,
-0.0243988037109375,
-0.0036258697509765625,
0.0207977294921875,
-0.007457733154296875,
-0.025421142578125,
0.0469970703125,
-0.037872314453125,
0.039581298828125,
-0.031829833984375,
-0.0280303955078125,
-0.02874755859375,
0.0182952880859375,
-0.0546875,
0.06719970703125,
0.0140228271484375,
-0.08892822265625,
0.0074310302734375,
-0.0440673828125,
-0.00872039794921875,
0.0084686279296875,
-0.01160430908203125,
-0.046356201171875,
-0.0280914306640625,
0.0281829833984375,
0.0284881591796875,
-0.031524658203125,
-0.00678253173828125,
-0.009735107421875,
-0.03118896484375,
0.02752685546875,
-0.038238525390625,
0.0843505859375,
0.01250457763671875,
-0.050018310546875,
0.0272979736328125,
-0.0455322265625,
0.020050048828125,
0.0341796875,
-0.013671875,
0.0012445449829101562,
0.00042247772216796875,
0.014739990234375,
0.03814697265625,
0.033172607421875,
-0.03265380859375,
0.0025787353515625,
-0.032623291015625,
0.04290771484375,
0.042724609375,
-0.001739501953125,
0.0274658203125,
-0.038238525390625,
0.033111572265625,
0.0137786865234375,
0.03704833984375,
-0.012115478515625,
-0.03973388671875,
-0.060546875,
-0.00506591796875,
0.01751708984375,
0.042205810546875,
-0.08612060546875,
0.034454345703125,
-0.01154327392578125,
-0.04144287109375,
-0.054779052734375,
0.0013494491577148438,
0.0489501953125,
0.03497314453125,
0.0361328125,
-0.0146636962890625,
-0.034423828125,
-0.05914306640625,
0.00803375244140625,
-0.01396942138671875,
-0.004547119140625,
0.032806396484375,
0.03369140625,
-0.00650787353515625,
0.057861328125,
-0.03472900390625,
-0.0198822021484375,
-0.0209197998046875,
-0.004764556884765625,
0.0200042724609375,
0.034912109375,
0.056976318359375,
-0.083740234375,
-0.045745849609375,
0.0005125999450683594,
-0.0750732421875,
0.0070343017578125,
-0.002414703369140625,
-0.0264129638671875,
0.01206207275390625,
0.019256591796875,
-0.05364990234375,
0.035400390625,
0.050323486328125,
-0.035064697265625,
0.062744140625,
-0.01503753662109375,
0.0195770263671875,
-0.0897216796875,
0.0012264251708984375,
0.01107025146484375,
-0.00959014892578125,
-0.0465087890625,
0.023162841796875,
0.018707275390625,
0.0235595703125,
-0.05145263671875,
0.05029296875,
-0.04266357421875,
0.007648468017578125,
-0.006473541259765625,
0.0215911865234375,
0.0111083984375,
0.04632568359375,
0.004299163818359375,
0.05108642578125,
0.049835205078125,
-0.041168212890625,
0.048797607421875,
0.0287628173828125,
-0.02294921875,
0.025238037109375,
-0.06005859375,
-0.00905609130859375,
0.00388336181640625,
-0.00024700164794921875,
-0.07818603515625,
-0.00705718994140625,
0.03143310546875,
-0.047760009765625,
0.016754150390625,
-0.0038089752197265625,
-0.021942138671875,
-0.061737060546875,
-0.042724609375,
0.0232391357421875,
0.062164306640625,
-0.043731689453125,
0.03814697265625,
0.00626373291015625,
0.0152587890625,
-0.05206298828125,
-0.0423583984375,
-0.001434326171875,
-0.01519012451171875,
-0.05926513671875,
0.047119140625,
-0.013641357421875,
-0.0094146728515625,
0.0036792755126953125,
0.00818634033203125,
0.0007753372192382812,
-0.01076507568359375,
0.02044677734375,
0.04022216796875,
-0.021087646484375,
-0.01007843017578125,
-0.016357421875,
-0.008026123046875,
-0.0012845993041992188,
-0.01195526123046875,
0.044464111328125,
-0.013824462890625,
-0.0249176025390625,
-0.063232421875,
0.0010700225830078125,
0.045196533203125,
-0.029815673828125,
0.044464111328125,
0.07684326171875,
-0.01495361328125,
0.00624847412109375,
-0.037750244140625,
-0.00832366943359375,
-0.043365478515625,
0.0302886962890625,
-0.0247039794921875,
-0.05755615234375,
0.041259765625,
0.0171051025390625,
0.017608642578125,
0.061981201171875,
0.0316162109375,
-0.0218658447265625,
0.08056640625,
0.041229248046875,
-0.01605224609375,
0.039337158203125,
-0.05108642578125,
0.0030231475830078125,
-0.061920166015625,
-0.0090789794921875,
-0.01036834716796875,
-0.0154266357421875,
-0.047637939453125,
-0.03955078125,
0.02532958984375,
0.012664794921875,
-0.034912109375,
0.0293731689453125,
-0.044952392578125,
-0.0012111663818359375,
0.059661865234375,
0.017608642578125,
0.0089111328125,
-0.01074981689453125,
-0.00449371337890625,
-0.01291656494140625,
-0.047515869140625,
-0.022430419921875,
0.0704345703125,
0.0330810546875,
0.03668212890625,
0.00586700439453125,
0.04931640625,
0.0063629150390625,
0.01153564453125,
-0.044189453125,
0.04632568359375,
0.004024505615234375,
-0.0408935546875,
-0.036590576171875,
-0.02789306640625,
-0.0657958984375,
0.03692626953125,
-0.0203857421875,
-0.05596923828125,
0.005680084228515625,
0.003719329833984375,
-0.04278564453125,
0.029998779296875,
-0.04071044921875,
0.061553955078125,
-0.029632568359375,
-0.0447998046875,
0.0105438232421875,
-0.05218505859375,
0.036834716796875,
0.02093505859375,
0.021148681640625,
-0.003711700439453125,
0.00797271728515625,
0.06549072265625,
-0.050689697265625,
0.05755615234375,
-0.0214080810546875,
-0.00379180908203125,
0.046234130859375,
-0.0165863037109375,
0.035858154296875,
-0.0106201171875,
0.0188751220703125,
0.00841522216796875,
0.0044097900390625,
-0.0270843505859375,
-0.0304107666015625,
0.043426513671875,
-0.07135009765625,
-0.04656982421875,
-0.0292205810546875,
-0.033721923828125,
0.00888824462890625,
0.026031494140625,
0.049896240234375,
0.0374755859375,
0.015228271484375,
0.00039577484130859375,
0.0404052734375,
-0.03564453125,
0.052947998046875,
0.0263214111328125,
-0.030426025390625,
-0.03460693359375,
0.07293701171875,
0.01114654541015625,
0.02099609375,
0.018707275390625,
0.0086822509765625,
-0.03033447265625,
-0.037200927734375,
-0.045440673828125,
0.0251007080078125,
-0.038360595703125,
-0.0201568603515625,
-0.044189453125,
-0.04071044921875,
-0.023468017578125,
-0.002719879150390625,
-0.0130157470703125,
-0.006595611572265625,
-0.0228118896484375,
-0.0028781890869140625,
0.043670654296875,
0.0294189453125,
0.0072479248046875,
0.019622802734375,
-0.06732177734375,
0.04443359375,
0.037933349609375,
0.0030231475830078125,
0.014801025390625,
-0.053741455078125,
-0.0178375244140625,
0.0209197998046875,
-0.0274505615234375,
-0.055419921875,
0.048797607421875,
-0.004383087158203125,
0.044403076171875,
0.032318115234375,
0.003444671630859375,
0.04278564453125,
-0.0195770263671875,
0.07537841796875,
0.03839111328125,
-0.06610107421875,
0.0267181396484375,
-0.035980224609375,
0.0179901123046875,
0.0068359375,
0.0241241455078125,
-0.0352783203125,
-0.0179290771484375,
-0.048004150390625,
-0.062286376953125,
0.053558349609375,
0.029510498046875,
0.00850677490234375,
0.0188446044921875,
0.00467681884765625,
-0.031707763671875,
0.01219940185546875,
-0.07171630859375,
-0.043731689453125,
-0.025360107421875,
-0.0162353515625,
0.01194000244140625,
-0.01456451416015625,
0.00016105175018310547,
-0.04736328125,
0.0391845703125,
-0.0029754638671875,
0.041748046875,
0.0232086181640625,
-0.00255584716796875,
-0.00835418701171875,
-0.0033245086669921875,
0.041015625,
0.03387451171875,
-0.0188751220703125,
-0.005558013916015625,
0.0202484130859375,
-0.04840087890625,
-0.0022373199462890625,
0.005870819091796875,
-0.0235748291015625,
0.005832672119140625,
0.037872314453125,
0.06744384765625,
0.018829345703125,
-0.0345458984375,
0.049407958984375,
-0.005992889404296875,
-0.040283203125,
-0.0211944580078125,
0.0084228515625,
0.03179931640625,
0.037933349609375,
0.03607177734375,
-0.01206207275390625,
-0.00316619873046875,
-0.0399169921875,
0.0104827880859375,
0.0289764404296875,
-0.0251617431640625,
-0.0128326416015625,
0.07940673828125,
0.00920867919921875,
-0.007343292236328125,
0.034515380859375,
-0.0293731689453125,
-0.058380126953125,
0.0665283203125,
0.038726806640625,
0.05029296875,
-0.0191192626953125,
0.01947021484375,
0.053253173828125,
0.0195770263671875,
-0.007106781005859375,
0.04345703125,
0.0080413818359375,
-0.058746337890625,
-0.0216217041015625,
-0.04571533203125,
-0.0188751220703125,
0.005893707275390625,
-0.040771484375,
0.0193634033203125,
-0.027618408203125,
-0.0176544189453125,
0.00254058837890625,
0.018707275390625,
-0.062744140625,
0.03546142578125,
0.003559112548828125,
0.061767578125,
-0.04449462890625,
0.07708740234375,
0.0287628173828125,
-0.056243896484375,
-0.07080078125,
-0.00186920166015625,
-0.005100250244140625,
-0.06671142578125,
0.052001953125,
0.00675201416015625,
-0.00089263916015625,
0.01708984375,
-0.0584716796875,
-0.073974609375,
0.118408203125,
-0.01325225830078125,
-0.047119140625,
-0.004802703857421875,
-0.0062255859375,
0.03546142578125,
-0.0140380859375,
0.03619384765625,
0.02532958984375,
0.03936767578125,
0.0166473388671875,
-0.08349609375,
0.0228271484375,
-0.032257080078125,
0.0009388923645019531,
-0.00513458251953125,
-0.07684326171875,
0.09564208984375,
-0.029693603515625,
-0.018402099609375,
0.01324462890625,
0.058837890625,
0.01947021484375,
0.01319122314453125,
0.0302886962890625,
0.025054931640625,
0.03619384765625,
-0.01541900634765625,
0.0745849609375,
-0.0212860107421875,
0.043243408203125,
0.051300048828125,
-0.004657745361328125,
0.06585693359375,
0.01413726806640625,
-0.04559326171875,
0.03271484375,
0.034637451171875,
-0.0240478515625,
0.04290771484375,
0.003681182861328125,
-0.0221099853515625,
-0.011383056640625,
0.00511932373046875,
-0.038177490234375,
0.01206207275390625,
0.0199737548828125,
-0.0243377685546875,
-0.0014085769653320312,
0.005214691162109375,
-0.004734039306640625,
-0.0135650634765625,
-0.0258026123046875,
0.0364990234375,
0.0127410888671875,
-0.0250701904296875,
0.06854248046875,
0.00749969482421875,
0.08404541015625,
-0.0357666015625,
-0.00431060791015625,
-0.0033397674560546875,
-0.004291534423828125,
-0.022674560546875,
-0.06378173828125,
-0.012603759765625,
-0.01500701904296875,
0.0008611679077148438,
0.0097503662109375,
0.059600830078125,
-0.034027099609375,
-0.03515625,
0.0248870849609375,
0.0306549072265625,
0.00989532470703125,
-0.00605010986328125,
-0.0665283203125,
0.00469970703125,
0.0258026123046875,
-0.038116455078125,
0.018035888671875,
0.0211639404296875,
-0.0055999755859375,
0.056976318359375,
0.047515869140625,
-0.00688934326171875,
0.01373291015625,
0.00484466552734375,
0.07244873046875,
-0.06695556640625,
-0.0211944580078125,
-0.0606689453125,
0.0635986328125,
-0.0247039794921875,
-0.029754638671875,
0.07421875,
0.0243988037109375,
0.051544189453125,
-0.00444793701171875,
0.0770263671875,
-0.0196685791015625,
0.02960205078125,
-0.0357666015625,
0.0687255859375,
-0.048797607421875,
-0.005908966064453125,
-0.025146484375,
-0.04632568359375,
-0.01523590087890625,
0.058746337890625,
-0.0186004638671875,
0.0162200927734375,
0.052886962890625,
0.059478759765625,
0.005161285400390625,
-0.0147552490234375,
0.0404052734375,
0.02752685546875,
0.0113372802734375,
0.06732177734375,
0.053955078125,
-0.07232666015625,
0.043182373046875,
-0.0419921875,
-0.00759124755859375,
-0.02593994140625,
-0.045806884765625,
-0.0804443359375,
-0.04937744140625,
-0.02752685546875,
-0.0345458984375,
-0.0206298828125,
0.054779052734375,
0.0418701171875,
-0.050262451171875,
-0.006313323974609375,
0.009124755859375,
0.00995635986328125,
-0.02069091796875,
-0.0196380615234375,
0.051239013671875,
0.00574493408203125,
-0.06341552734375,
-0.004207611083984375,
0.010589599609375,
0.02679443359375,
-0.0219268798828125,
-0.021392822265625,
-0.007030487060546875,
-0.01043701171875,
0.042694091796875,
0.0310516357421875,
-0.0635986328125,
-0.021453857421875,
0.01364898681640625,
-0.0265655517578125,
0.0035114288330078125,
0.0007061958312988281,
-0.041259765625,
0.0217132568359375,
0.03240966796875,
0.0018949508666992188,
0.042327880859375,
0.0004544258117675781,
0.02374267578125,
-0.027191162109375,
0.0147552490234375,
0.0005731582641601562,
0.034088134765625,
0.01033782958984375,
-0.0188751220703125,
0.0243377685546875,
0.023284912109375,
-0.03472900390625,
-0.0499267578125,
-0.0004062652587890625,
-0.08203125,
-0.01126861572265625,
0.0904541015625,
-0.0247344970703125,
-0.034088134765625,
-0.003353118896484375,
-0.05010986328125,
0.028045654296875,
-0.006671905517578125,
0.040008544921875,
0.040863037109375,
0.0126800537109375,
-0.03900146484375,
-0.057769775390625,
0.044952392578125,
0.01209259033203125,
-0.05169677734375,
-0.019439697265625,
0.0252685546875,
0.0300750732421875,
0.0223388671875,
0.0584716796875,
-0.0048675537109375,
0.039459228515625,
0.011627197265625,
0.035247802734375,
-0.01131439208984375,
0.005767822265625,
-0.005657196044921875,
0.0003521442413330078,
0.005008697509765625,
-0.04083251953125
]
] |
noufals/distilbert-base-uncased-finetuned-squad | 2023-09-28T11:08:33.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | question-answering | noufals | null | null | noufals/distilbert-base-uncased-finetuned-squad | 0 | 2 | transformers | 2023-09-27T08:03:52 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1674
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4109 | 1.0 | 3169 | 3.2894 |
| 3.0328 | 2.0 | 6338 | 3.1579 |
| 2.7896 | 3.0 | 9507 | 3.1674 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,448 | [
[
-0.033843994140625,
-0.0467529296875,
0.0128021240234375,
0.0205841064453125,
-0.0239410400390625,
-0.008148193359375,
-0.00453948974609375,
-0.006160736083984375,
0.0030193328857421875,
0.020782470703125,
-0.06610107421875,
-0.042572021484375,
-0.050506591796875,
-0.0023975372314453125,
-0.0159912109375,
0.09405517578125,
0.006183624267578125,
0.026458740234375,
-0.0026378631591796875,
-0.0011920928955078125,
-0.041748046875,
-0.052764892578125,
-0.0511474609375,
-0.0540771484375,
0.012359619140625,
0.0254364013671875,
0.059356689453125,
0.06597900390625,
0.050628662109375,
0.0212554931640625,
-0.0277099609375,
-0.00902557373046875,
-0.059722900390625,
-0.0300140380859375,
0.0004420280456542969,
-0.02972412109375,
-0.061065673828125,
0.002838134765625,
0.048919677734375,
0.03985595703125,
-0.0239105224609375,
0.0272979736328125,
0.00965118408203125,
0.04815673828125,
-0.036651611328125,
0.0296783447265625,
-0.047393798828125,
0.0196533203125,
-0.01220703125,
-0.02960205078125,
-0.0304412841796875,
0.01125335693359375,
0.00583648681640625,
-0.03997802734375,
0.043792724609375,
-0.0064239501953125,
0.077392578125,
0.031494140625,
-0.019195556640625,
0.0119476318359375,
-0.05657958984375,
0.05010986328125,
-0.04302978515625,
0.017242431640625,
0.0234527587890625,
0.043792724609375,
-0.0070953369140625,
-0.0390625,
-0.0240020751953125,
-0.009307861328125,
-0.00008195638656616211,
0.023040771484375,
-0.0221405029296875,
0.01105499267578125,
0.0440673828125,
0.041778564453125,
-0.035736083984375,
0.017852783203125,
-0.047027587890625,
-0.0220489501953125,
0.056976318359375,
0.03692626953125,
-0.01934814453125,
0.0003459453582763672,
-0.049285888671875,
-0.01061248779296875,
-0.024322509765625,
0.0164642333984375,
0.043487548828125,
0.023651123046875,
-0.03338623046875,
0.044219970703125,
-0.035919189453125,
0.05096435546875,
0.027923583984375,
-0.00472259521484375,
0.042449951171875,
0.004947662353515625,
-0.039794921875,
0.005718231201171875,
0.0587158203125,
0.05322265625,
0.0172882080078125,
-0.00505828857421875,
-0.0306854248046875,
-0.00592041015625,
0.01483154296875,
-0.077392578125,
-0.031951904296875,
0.0019102096557617188,
-0.038055419921875,
-0.051605224609375,
0.0182037353515625,
-0.039337158203125,
0.0074310302734375,
-0.0246734619140625,
0.030609130859375,
-0.0304412841796875,
-0.01160430908203125,
0.01390838623046875,
-0.01522064208984375,
0.0161590576171875,
0.0179901123046875,
-0.06121826171875,
0.02520751953125,
0.018798828125,
0.0411376953125,
0.00004565715789794922,
-0.0247039794921875,
-0.0193023681640625,
0.0008893013000488281,
-0.01995849609375,
0.0360107421875,
-0.0018491744995117188,
-0.03631591796875,
-0.007350921630859375,
0.022613525390625,
-0.0081787109375,
-0.036102294921875,
0.057952880859375,
-0.0219879150390625,
0.002498626708984375,
-0.01245880126953125,
-0.0413818359375,
-0.01129913330078125,
0.0270843505859375,
-0.054595947265625,
0.08221435546875,
0.0193634033203125,
-0.0430908203125,
0.04156494140625,
-0.0333251953125,
-0.01441192626953125,
0.007232666015625,
-0.0017833709716796875,
-0.0556640625,
0.01160430908203125,
-0.0021877288818359375,
0.046478271484375,
-0.0222930908203125,
0.021392822265625,
-0.034210205078125,
-0.04608154296875,
-0.0014400482177734375,
-0.0465087890625,
0.070068359375,
0.00928497314453125,
-0.0321044921875,
-0.0028095245361328125,
-0.09368896484375,
0.02410888671875,
0.0274200439453125,
-0.0399169921875,
0.015106201171875,
-0.030517578125,
0.026763916015625,
0.01537322998046875,
0.02740478515625,
-0.034149169921875,
0.01136016845703125,
-0.01323699951171875,
0.0263519287109375,
0.0465087890625,
0.0034656524658203125,
0.0143280029296875,
-0.030517578125,
0.01654052734375,
0.0274810791015625,
0.035919189453125,
0.0227508544921875,
-0.031005859375,
-0.060791015625,
-0.0243988037109375,
0.01410675048828125,
0.026611328125,
-0.026336669921875,
0.06732177734375,
0.00506591796875,
-0.060699462890625,
-0.018310546875,
0.009368896484375,
0.034881591796875,
0.0528564453125,
0.04229736328125,
-0.002140045166015625,
-0.042144775390625,
-0.09490966796875,
0.019775390625,
-0.01366424560546875,
0.0234832763671875,
-0.00638580322265625,
0.051788330078125,
-0.01401519775390625,
0.058807373046875,
-0.041473388671875,
-0.0174713134765625,
-0.0246429443359375,
-0.0032444000244140625,
0.03350830078125,
0.06195068359375,
0.0621337890625,
-0.0293121337890625,
-0.015533447265625,
-0.020263671875,
-0.059326171875,
0.0175628662109375,
-0.005123138427734375,
-0.0239105224609375,
-0.009033203125,
0.0178680419921875,
-0.044281005859375,
0.0596923828125,
0.0195465087890625,
-0.0193328857421875,
0.047821044921875,
-0.031982421875,
-0.0022335052490234375,
-0.07818603515625,
0.0080108642578125,
0.0162353515625,
-0.00547027587890625,
-0.029754638671875,
-0.0059051513671875,
0.005619049072265625,
-0.00951385498046875,
-0.035186767578125,
0.0283966064453125,
-0.0159454345703125,
0.0192413330078125,
-0.01398468017578125,
-0.038299560546875,
0.01151275634765625,
0.061370849609375,
0.01354217529296875,
0.039276123046875,
0.049957275390625,
-0.04296875,
0.034515380859375,
0.03582763671875,
-0.014892578125,
0.0439453125,
-0.07476806640625,
0.0020656585693359375,
-0.01285552978515625,
0.006206512451171875,
-0.05853271484375,
-0.00868988037109375,
0.0269927978515625,
-0.024017333984375,
0.02587890625,
-0.025054931640625,
-0.0274200439453125,
-0.0294036865234375,
-0.00823974609375,
0.0264739990234375,
0.036773681640625,
-0.033447265625,
0.0018405914306640625,
0.0008516311645507812,
0.0305938720703125,
-0.0380859375,
-0.058807373046875,
-0.031646728515625,
-0.01995849609375,
-0.02264404296875,
0.03009033203125,
-0.01198577880859375,
-0.0003712177276611328,
-0.00848388671875,
-0.01534271240234375,
-0.03546142578125,
0.0020656585693359375,
0.033416748046875,
0.03875732421875,
-0.01552581787109375,
-0.009246826171875,
0.0015716552734375,
-0.0210113525390625,
0.009490966796875,
0.01078033447265625,
0.039337158203125,
-0.0208282470703125,
-0.01898193359375,
-0.06475830078125,
0.004421234130859375,
0.042877197265625,
-0.00872802734375,
0.0662841796875,
0.0433349609375,
-0.03656005859375,
-0.006198883056640625,
-0.034912109375,
-0.00974273681640625,
-0.031646728515625,
0.04632568359375,
-0.035003662109375,
-0.0173492431640625,
0.049835205078125,
0.0120391845703125,
0.0048980712890625,
0.08624267578125,
0.042205810546875,
-0.0037517547607421875,
0.080322265625,
0.027587890625,
-0.00858306884765625,
0.01374053955078125,
-0.071044921875,
-0.0236053466796875,
-0.04864501953125,
-0.04296875,
-0.0382080078125,
-0.0282440185546875,
-0.044708251953125,
0.00189208984375,
0.01035308837890625,
0.03192138671875,
-0.0552978515625,
0.039825439453125,
-0.046844482421875,
0.035491943359375,
0.042083740234375,
0.033966064453125,
0.0081939697265625,
0.0017185211181640625,
-0.0081329345703125,
-0.003589630126953125,
-0.062164306640625,
-0.03106689453125,
0.083251953125,
0.037872314453125,
0.06024169921875,
-0.0090179443359375,
0.062744140625,
0.01222991943359375,
0.004100799560546875,
-0.05096435546875,
0.0305633544921875,
0.01155853271484375,
-0.0751953125,
-0.01617431640625,
-0.03302001953125,
-0.045562744140625,
0.0026836395263671875,
-0.033843994140625,
-0.037322998046875,
0.0156097412109375,
0.019378662109375,
-0.038970947265625,
0.024505615234375,
-0.0418701171875,
0.0770263671875,
-0.0288848876953125,
-0.0264434814453125,
-0.00347900390625,
-0.03680419921875,
0.00807952880859375,
0.011810302734375,
-0.034576416015625,
-0.0103607177734375,
0.0197601318359375,
0.054595947265625,
-0.050811767578125,
0.04730224609375,
-0.0323486328125,
0.031280517578125,
0.03375244140625,
-0.0142364501953125,
0.0389404296875,
0.02789306640625,
-0.017669677734375,
0.0277252197265625,
0.00385284423828125,
-0.04522705078125,
-0.03106689453125,
0.048797607421875,
-0.0823974609375,
-0.0125274658203125,
-0.044219970703125,
-0.0399169921875,
-0.0073394775390625,
0.0160369873046875,
0.05633544921875,
0.052886962890625,
-0.0227813720703125,
0.03173828125,
0.0391845703125,
0.005870819091796875,
0.033782958984375,
0.02667236328125,
0.01273345947265625,
-0.0282440185546875,
0.0445556640625,
0.0004901885986328125,
0.0171356201171875,
0.00867462158203125,
0.0025882720947265625,
-0.03887939453125,
-0.05322265625,
-0.05450439453125,
0.006256103515625,
-0.051300048828125,
-0.030609130859375,
-0.0135955810546875,
-0.042083740234375,
-0.01538848876953125,
0.0033473968505859375,
-0.042022705078125,
-0.028533935546875,
-0.04364013671875,
-0.02294921875,
0.030029296875,
0.0445556640625,
0.01212310791015625,
0.052703857421875,
-0.043731689453125,
-0.0097198486328125,
0.00395965576171875,
0.033447265625,
-0.002490997314453125,
-0.060638427734375,
-0.025848388671875,
0.0142822265625,
-0.03900146484375,
-0.05548095703125,
0.021026611328125,
0.004901885986328125,
0.058349609375,
0.043548583984375,
-0.004947662353515625,
0.078369140625,
-0.03118896484375,
0.039093017578125,
0.030120849609375,
-0.03680419921875,
0.026580810546875,
-0.02178955078125,
0.0162506103515625,
0.06915283203125,
0.0347900390625,
0.0170135498046875,
0.002544403076171875,
-0.08453369140625,
-0.04534912109375,
0.06640625,
0.0372314453125,
0.0010576248168945312,
0.0015316009521484375,
0.0284423828125,
-0.006298065185546875,
0.0234222412109375,
-0.052947998046875,
-0.05029296875,
-0.0255584716796875,
-0.00527191162109375,
-0.0088653564453125,
-0.022125244140625,
-0.0111083984375,
-0.047119140625,
0.076904296875,
0.007343292236328125,
0.0210723876953125,
0.00732421875,
-0.001071929931640625,
-0.0062103271484375,
-0.005802154541015625,
0.040557861328125,
0.0509033203125,
-0.05487060546875,
-0.0198974609375,
0.02301025390625,
-0.0260467529296875,
0.0064697265625,
0.025115966796875,
-0.001628875732421875,
0.017730712890625,
0.02862548828125,
0.0716552734375,
0.0166015625,
-0.01125335693359375,
0.03564453125,
0.0011224746704101562,
-0.03631591796875,
-0.030181884765625,
0.00809478759765625,
-0.019195556640625,
0.02081298828125,
0.024322509765625,
0.038787841796875,
0.00878143310546875,
-0.0222320556640625,
0.0167083740234375,
0.022186279296875,
-0.0504150390625,
-0.0196380615234375,
0.056304931640625,
0.0118255615234375,
-0.0135955810546875,
0.053253173828125,
-0.01473236083984375,
-0.012725830078125,
0.06622314453125,
0.03729248046875,
0.0574951171875,
-0.00847625732421875,
0.0032405853271484375,
0.051849365234375,
0.0123748779296875,
-0.022003173828125,
0.021087646484375,
0.01318359375,
-0.0357666015625,
-0.0064697265625,
-0.05120849609375,
-0.00481414794921875,
0.04541015625,
-0.0906982421875,
0.032379150390625,
-0.047637939453125,
-0.03472900390625,
0.0244598388671875,
0.01354217529296875,
-0.0875244140625,
0.0384521484375,
0.0004298686981201172,
0.0860595703125,
-0.0679931640625,
0.054779052734375,
0.047821044921875,
-0.045562744140625,
-0.07049560546875,
-0.0223846435546875,
-0.007114410400390625,
-0.077392578125,
0.054840087890625,
0.010772705078125,
0.0178680419921875,
0.00905609130859375,
-0.0266265869140625,
-0.0435791015625,
0.0838623046875,
0.03204345703125,
-0.061859130859375,
-0.000904083251953125,
0.0242462158203125,
0.04296875,
-0.017913818359375,
0.05322265625,
0.023651123046875,
0.01288604736328125,
0.0257720947265625,
-0.0692138671875,
-0.013885498046875,
-0.020843505859375,
0.00875091552734375,
0.004116058349609375,
-0.0601806640625,
0.08074951171875,
-0.00121307373046875,
0.0274200439453125,
0.01885986328125,
0.037445068359375,
0.0155792236328125,
0.01702880859375,
0.0295562744140625,
0.06640625,
0.033355712890625,
-0.0134735107421875,
0.067138671875,
-0.033599853515625,
0.060028076171875,
0.08355712890625,
-0.0014486312866210938,
0.03363037109375,
0.0238189697265625,
-0.0195770263671875,
0.0172882080078125,
0.0567626953125,
-0.0260467529296875,
0.0430908203125,
0.0167694091796875,
-0.0003902912139892578,
-0.03533935546875,
0.0210723876953125,
-0.054229736328125,
0.041748046875,
-0.0155792236328125,
-0.047943115234375,
-0.03460693359375,
-0.031219482421875,
-0.005764007568359375,
-0.011260986328125,
-0.037261962890625,
0.042327880859375,
-0.024169921875,
-0.02490234375,
0.06927490234375,
0.007259368896484375,
0.026458740234375,
-0.04315185546875,
-0.01430511474609375,
-0.011993408203125,
0.036529541015625,
-0.021881103515625,
-0.0423583984375,
0.01494598388671875,
-0.0018033981323242188,
-0.0357666015625,
0.002826690673828125,
0.0270233154296875,
-0.02227783203125,
-0.0718994140625,
0.00408935546875,
0.034210205078125,
0.012969970703125,
-0.006427764892578125,
-0.08050537109375,
-0.003063201904296875,
-0.003810882568359375,
-0.0186309814453125,
0.016937255859375,
0.0272064208984375,
0.0008678436279296875,
0.032928466796875,
0.039520263671875,
-0.005779266357421875,
-0.0005702972412109375,
0.00855255126953125,
0.07550048828125,
-0.032928466796875,
-0.0362548828125,
-0.074462890625,
0.048492431640625,
-0.0196685791015625,
-0.0654296875,
0.04632568359375,
0.089111328125,
0.06475830078125,
-0.0251617431640625,
0.042022705078125,
0.005031585693359375,
0.019012451171875,
-0.0300445556640625,
0.058746337890625,
-0.030181884765625,
-0.004695892333984375,
-0.0267486572265625,
-0.06982421875,
0.006168365478515625,
0.0538330078125,
-0.00910186767578125,
0.00594329833984375,
0.0268707275390625,
0.04864501953125,
-0.0111846923828125,
0.0036525726318359375,
0.021575927734375,
-0.00771331787109375,
0.007328033447265625,
0.04248046875,
0.042205810546875,
-0.06768798828125,
0.0372314453125,
-0.053741455078125,
-0.0237579345703125,
-0.00952911376953125,
-0.053070068359375,
-0.09271240234375,
-0.0269317626953125,
-0.0313720703125,
-0.03143310546875,
0.006809234619140625,
0.07318115234375,
0.0718994140625,
-0.05694580078125,
-0.024383544921875,
-0.005229949951171875,
-0.02783203125,
-0.0242919921875,
-0.015625,
0.0229644775390625,
-0.0066680908203125,
-0.05828857421875,
0.009246826171875,
-0.0178375244140625,
0.0297088623046875,
-0.01102447509765625,
-0.01953125,
-0.015625,
-0.036346435546875,
0.0164947509765625,
0.0025615692138671875,
-0.02337646484375,
-0.016265869140625,
-0.005184173583984375,
-0.0003027915954589844,
0.014068603515625,
0.0201416015625,
-0.038177490234375,
0.0213165283203125,
0.01593017578125,
0.024139404296875,
0.0458984375,
0.002437591552734375,
0.0228729248046875,
-0.06463623046875,
0.045135498046875,
0.0230865478515625,
0.0408935546875,
0.00434112548828125,
-0.032928466796875,
0.0355224609375,
0.032623291015625,
-0.033935546875,
-0.0634765625,
-0.014404296875,
-0.084716796875,
0.013885498046875,
0.0745849609375,
0.005321502685546875,
-0.02166748046875,
0.025482177734375,
-0.0162506103515625,
0.02935791015625,
-0.033203125,
0.043121337890625,
0.047698974609375,
-0.0030078887939453125,
0.0162811279296875,
-0.042572021484375,
0.038726806640625,
0.0180511474609375,
-0.044219970703125,
-0.0169525146484375,
0.03192138671875,
0.0369873046875,
0.0007147789001464844,
0.0257110595703125,
-0.00864410400390625,
0.0228729248046875,
0.0027027130126953125,
0.01358795166015625,
-0.04730224609375,
-0.0303497314453125,
-0.019927978515625,
-0.003261566162109375,
-0.0020847320556640625,
-0.048583984375
]
] |
vaibhav9/hangman-bert-mini | 2023-09-27T12:20:16.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | vaibhav9 | null | null | vaibhav9/hangman-bert-mini | 0 | 2 | transformers | 2023-09-27T08:46:30 | ---
license: apache-2.0
base_model: google/bert_uncased_L-4_H-256_A-4
tags:
- generated_from_trainer
model-index:
- name: hangman-bert-mini
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hangman-bert-mini
This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3202
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3327 | 1.0 | 2609 | 2.3194 |
| 2.3283 | 2.0 | 5218 | 2.3216 |
| 2.3278 | 3.0 | 7827 | 2.3202 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,428 | [
[
-0.03558349609375,
-0.040740966796875,
0.0221099853515625,
-0.00916290283203125,
-0.033935546875,
-0.03717041015625,
-0.01044464111328125,
-0.0189971923828125,
0.019195556640625,
0.0183868408203125,
-0.06622314453125,
-0.02880859375,
-0.04388427734375,
-0.00824737548828125,
-0.018798828125,
0.11004638671875,
0.004791259765625,
0.0288543701171875,
-0.0036907196044921875,
-0.000530242919921875,
-0.02838134765625,
-0.0447998046875,
-0.06268310546875,
-0.056427001953125,
0.037017822265625,
0.016937255859375,
0.06036376953125,
0.06781005859375,
0.041015625,
0.01233673095703125,
-0.0264892578125,
-0.0190582275390625,
-0.0501708984375,
-0.048797607421875,
0.00872039794921875,
-0.03485107421875,
-0.051055908203125,
-0.01116180419921875,
0.044769287109375,
0.02447509765625,
-0.018707275390625,
0.038055419921875,
0.0011377334594726562,
0.0399169921875,
-0.0272674560546875,
0.01538848876953125,
-0.04864501953125,
0.01454925537109375,
-0.0160675048828125,
-0.0151824951171875,
-0.023895263671875,
-0.0094757080078125,
0.0233306884765625,
-0.04437255859375,
0.03106689453125,
0.004764556884765625,
0.099609375,
0.041412353515625,
-0.01513671875,
-0.010406494140625,
-0.041595458984375,
0.047515869140625,
-0.06854248046875,
0.0082244873046875,
0.0187530517578125,
0.043792724609375,
0.002361297607421875,
-0.051849365234375,
-0.029266357421875,
0.00019669532775878906,
-0.002330780029296875,
0.01043701171875,
-0.00977325439453125,
0.007289886474609375,
0.04412841796875,
0.0228729248046875,
-0.0285491943359375,
0.0168304443359375,
-0.044403076171875,
-0.0180816650390625,
0.037078857421875,
0.0310821533203125,
-0.01007843017578125,
-0.028289794921875,
-0.0428466796875,
-0.01364898681640625,
-0.03009033203125,
0.0192108154296875,
0.049285888671875,
0.0194549560546875,
-0.03436279296875,
0.039764404296875,
-0.005855560302734375,
0.04827880859375,
0.0085906982421875,
-0.00804901123046875,
0.0307769775390625,
-0.001903533935546875,
-0.0271453857421875,
-0.006252288818359375,
0.055694580078125,
0.04345703125,
0.0196075439453125,
0.0189361572265625,
-0.0260467529296875,
-0.031280517578125,
0.0205230712890625,
-0.07476806640625,
-0.044189453125,
0.00180816650390625,
-0.0521240234375,
-0.03558349609375,
-0.0006880760192871094,
-0.037750244140625,
0.007541656494140625,
-0.0232391357421875,
0.053375244140625,
-0.045684814453125,
0.00762939453125,
-0.004055023193359375,
-0.021942138671875,
0.0218963623046875,
0.0203857421875,
-0.056976318359375,
0.0245208740234375,
0.019927978515625,
0.04443359375,
0.0130767822265625,
-0.0121917724609375,
-0.0020503997802734375,
0.007045745849609375,
-0.0283050537109375,
0.03472900390625,
-0.004238128662109375,
-0.01461029052734375,
-0.003955841064453125,
0.01049041748046875,
-0.00908660888671875,
-0.0283050537109375,
0.0657958984375,
-0.02606201171875,
0.0211334228515625,
-0.016998291015625,
-0.051422119140625,
-0.019195556640625,
0.0175628662109375,
-0.05169677734375,
0.07891845703125,
-0.0026760101318359375,
-0.062744140625,
0.0465087890625,
-0.04559326171875,
-0.0036945343017578125,
0.00955963134765625,
-0.00958251953125,
-0.06451416015625,
0.006008148193359375,
0.01508331298828125,
0.02923583984375,
-0.01001739501953125,
0.01031494140625,
-0.035858154296875,
-0.05413818359375,
-0.00576019287109375,
-0.0256805419921875,
0.056427001953125,
0.002407073974609375,
-0.0263214111328125,
0.0140228271484375,
-0.07611083984375,
0.021148681640625,
0.0307464599609375,
-0.03656005859375,
-0.001529693603515625,
-0.00809478759765625,
0.0247650146484375,
0.015655517578125,
0.045989990234375,
-0.038299560546875,
0.00926971435546875,
-0.0267181396484375,
0.0208740234375,
0.060272216796875,
0.0034637451171875,
-0.0096588134765625,
-0.046875,
0.00800323486328125,
0.00028705596923828125,
0.0321044921875,
0.0133514404296875,
-0.039642333984375,
-0.0745849609375,
-0.02349853515625,
0.03173828125,
0.029052734375,
-0.039459228515625,
0.06866455078125,
-0.005794525146484375,
-0.0460205078125,
-0.027862548828125,
0.0079193115234375,
0.0286407470703125,
0.03790283203125,
0.02801513671875,
-0.0018444061279296875,
-0.04388427734375,
-0.08929443359375,
0.00380706787109375,
-0.002132415771484375,
-0.00142669677734375,
0.032135009765625,
0.052978515625,
-0.0272369384765625,
0.0645751953125,
-0.038055419921875,
-0.024627685546875,
-0.005523681640625,
0.0133514404296875,
0.05059814453125,
0.051422119140625,
0.062286376953125,
-0.01488494873046875,
-0.0196990966796875,
-0.0228271484375,
-0.057373046875,
0.018035888671875,
-0.00791168212890625,
-0.01202392578125,
0.0023956298828125,
0.00960540771484375,
-0.03338623046875,
0.054840087890625,
0.0174713134765625,
-0.004520416259765625,
0.0595703125,
-0.04791259765625,
-0.02813720703125,
-0.0728759765625,
0.011749267578125,
0.0002522468566894531,
-0.007518768310546875,
-0.01554107666015625,
-0.006122589111328125,
0.00606536865234375,
-0.01270294189453125,
-0.0244903564453125,
0.040496826171875,
-0.007091522216796875,
0.00624847412109375,
-0.021240234375,
-0.0185546875,
-0.0182952880859375,
0.057098388671875,
0.000019431114196777344,
0.03717041015625,
0.039886474609375,
-0.036346435546875,
0.0251617431640625,
0.03155517578125,
-0.0279693603515625,
0.03448486328125,
-0.0789794921875,
0.017181396484375,
-0.0008330345153808594,
0.01140594482421875,
-0.05780029296875,
-0.022796630859375,
0.028045654296875,
-0.03289794921875,
0.01375579833984375,
-0.0210113525390625,
-0.04718017578125,
-0.04473876953125,
-0.0221099853515625,
0.0160675048828125,
0.050201416015625,
-0.050201416015625,
0.00914764404296875,
-0.0092926025390625,
0.0224609375,
-0.036529541015625,
-0.050628662109375,
-0.02117919921875,
-0.0125732421875,
-0.032623291015625,
0.0115966796875,
-0.0247039794921875,
0.017913818359375,
0.002590179443359375,
-0.0118408203125,
-0.0176544189453125,
-0.0135040283203125,
0.021026611328125,
0.0247955322265625,
-0.00011616945266723633,
0.0017557144165039062,
0.0072021484375,
-0.016937255859375,
0.01666259765625,
0.0022735595703125,
0.038299560546875,
-0.01491546630859375,
-0.011138916015625,
-0.0687255859375,
-0.0017032623291015625,
0.0284423828125,
0.0216064453125,
0.0592041015625,
0.0562744140625,
-0.044525146484375,
-0.008453369140625,
-0.0219573974609375,
-0.014678955078125,
-0.035675048828125,
0.027008056640625,
-0.042388916015625,
-0.020416259765625,
0.050628662109375,
0.0093231201171875,
0.00753021240234375,
0.07666015625,
0.0447998046875,
-0.02313232421875,
0.08282470703125,
0.04010009765625,
-0.00162506103515625,
0.03314208984375,
-0.057037353515625,
-0.0131072998046875,
-0.05535888671875,
-0.021148681640625,
-0.026824951171875,
-0.029632568359375,
-0.046661376953125,
0.002178192138671875,
0.0297088623046875,
0.0175933837890625,
-0.05120849609375,
0.033599853515625,
-0.040924072265625,
0.021331787109375,
0.05950927734375,
0.03375244140625,
-0.0141448974609375,
-0.00732421875,
-0.03741455078125,
-0.01116180419921875,
-0.0684814453125,
-0.043212890625,
0.0908203125,
0.0391845703125,
0.063720703125,
-0.012847900390625,
0.066650390625,
0.0186004638671875,
0.001224517822265625,
-0.0535888671875,
0.034271240234375,
0.0034084320068359375,
-0.077880859375,
-0.0279388427734375,
-0.03131103515625,
-0.0498046875,
0.007110595703125,
-0.023284912109375,
-0.049102783203125,
0.00949859619140625,
0.0246429443359375,
-0.0268707275390625,
0.034271240234375,
-0.0400390625,
0.07366943359375,
-0.0252685546875,
-0.0032634735107421875,
-0.0115966796875,
-0.04803466796875,
0.022369384765625,
-0.006885528564453125,
-0.01404571533203125,
-0.0149688720703125,
0.006072998046875,
0.08319091796875,
-0.06005859375,
0.053497314453125,
-0.032012939453125,
0.02276611328125,
0.0176239013671875,
-0.021484375,
0.053680419921875,
0.01265716552734375,
-0.00731658935546875,
0.025604248046875,
0.017547607421875,
-0.045074462890625,
-0.0206451416015625,
0.0462646484375,
-0.09503173828125,
-0.0095672607421875,
-0.042755126953125,
-0.045135498046875,
0.0016603469848632812,
0.028961181640625,
0.048187255859375,
0.036102294921875,
0.00044918060302734375,
0.0240478515625,
0.026397705078125,
0.0009093284606933594,
0.042633056640625,
0.0178680419921875,
0.00616455078125,
-0.050018310546875,
0.056427001953125,
0.0042877197265625,
0.007568359375,
-0.004467010498046875,
0.0171051025390625,
-0.0204620361328125,
-0.036285400390625,
-0.043304443359375,
0.0233306884765625,
-0.06195068359375,
-0.01548004150390625,
-0.011688232421875,
-0.040496826171875,
-0.007068634033203125,
-0.0034275054931640625,
-0.029388427734375,
-0.0234832763671875,
-0.04046630859375,
-0.005939483642578125,
0.0257720947265625,
0.0531005859375,
-0.00919342041015625,
0.057861328125,
-0.033447265625,
0.0026340484619140625,
0.026153564453125,
0.032470703125,
0.01172637939453125,
-0.059814453125,
-0.038818359375,
0.00423431396484375,
-0.0295257568359375,
-0.03851318359375,
0.02264404296875,
0.0127410888671875,
0.0538330078125,
0.056884765625,
0.001018524169921875,
0.0703125,
-0.05096435546875,
0.053497314453125,
0.033843994140625,
-0.0511474609375,
0.029876708984375,
-0.026153564453125,
0.01343536376953125,
0.04254150390625,
0.029937744140625,
0.0014743804931640625,
-0.0013628005981445312,
-0.0858154296875,
-0.0592041015625,
0.0711669921875,
0.02880859375,
0.00502777099609375,
0.0139312744140625,
0.034942626953125,
0.006969451904296875,
0.01678466796875,
-0.06500244140625,
-0.0394287109375,
-0.0238494873046875,
-0.006847381591796875,
-0.0008082389831542969,
-0.03387451171875,
-0.0303955078125,
-0.04718017578125,
0.0716552734375,
-0.00829315185546875,
0.04559326171875,
-0.0006885528564453125,
0.0117645263671875,
-0.01282501220703125,
-0.01049041748046875,
0.0460205078125,
0.05810546875,
-0.07086181640625,
-0.015533447265625,
0.02117919921875,
-0.0155181884765625,
-0.01316070556640625,
0.0197601318359375,
-0.0126800537109375,
0.025787353515625,
0.030975341796875,
0.07257080078125,
0.018951416015625,
-0.0202484130859375,
0.03607177734375,
-0.00568389892578125,
-0.032135009765625,
-0.040496826171875,
0.008087158203125,
-0.0186309814453125,
0.01349639892578125,
0.0290985107421875,
0.02203369140625,
0.002193450927734375,
-0.01428985595703125,
0.0287933349609375,
0.0222625732421875,
-0.038970947265625,
-0.019195556640625,
0.06353759765625,
0.005374908447265625,
-0.022064208984375,
0.044464111328125,
-0.005275726318359375,
-0.0172882080078125,
0.055999755859375,
0.037261962890625,
0.0634765625,
0.012054443359375,
-0.0102691650390625,
0.05291748046875,
0.0287322998046875,
0.005428314208984375,
0.0352783203125,
0.00304412841796875,
-0.038116455078125,
-0.0095977783203125,
-0.041717529296875,
-0.038909912109375,
0.03509521484375,
-0.09259033203125,
0.0307464599609375,
-0.0487060546875,
-0.036041259765625,
0.0225372314453125,
0.01837158203125,
-0.07220458984375,
0.03594970703125,
0.01068878173828125,
0.087890625,
-0.056793212890625,
0.0755615234375,
0.03924560546875,
-0.029144287109375,
-0.049346923828125,
0.0002994537353515625,
-0.01110076904296875,
-0.08135986328125,
0.05120849609375,
0.0121307373046875,
0.018035888671875,
-0.00130462646484375,
-0.055694580078125,
-0.07000732421875,
0.07733154296875,
0.018829345703125,
-0.045257568359375,
-0.00628662109375,
-0.005706787109375,
0.044769287109375,
-0.013702392578125,
0.04473876953125,
0.017974853515625,
0.0171356201171875,
0.0225372314453125,
-0.07537841796875,
-0.00855255126953125,
-0.0162811279296875,
0.0247650146484375,
0.0078277587890625,
-0.05242919921875,
0.07952880859375,
-0.010009765625,
0.019287109375,
0.038299560546875,
0.03778076171875,
0.028533935546875,
0.00814056396484375,
0.034210205078125,
0.0673828125,
0.041015625,
-0.0150604248046875,
0.07598876953125,
-0.04296875,
0.0640869140625,
0.08892822265625,
0.00843048095703125,
0.051727294921875,
0.02447509765625,
-0.01248931884765625,
0.040740966796875,
0.07244873046875,
-0.0284881591796875,
0.052459716796875,
0.0222015380859375,
0.0183258056640625,
-0.02197265625,
0.021697998046875,
-0.04888916015625,
0.01380157470703125,
0.0051422119140625,
-0.038482666015625,
-0.0258636474609375,
-0.020965576171875,
0.0010595321655273438,
-0.033477783203125,
-0.029937744140625,
0.038818359375,
-0.01454925537109375,
-0.00490570068359375,
0.0689697265625,
0.01324462890625,
0.041534423828125,
-0.051727294921875,
0.003116607666015625,
0.00017571449279785156,
0.0338134765625,
-0.00786590576171875,
-0.037811279296875,
0.01552581787109375,
-0.00970458984375,
-0.0235443115234375,
0.006824493408203125,
0.029937744140625,
-0.006961822509765625,
-0.051483154296875,
0.01898193359375,
0.01502227783203125,
0.03289794921875,
0.0164947509765625,
-0.08453369140625,
-0.01020050048828125,
-0.01378631591796875,
-0.0193634033203125,
0.00862884521484375,
0.0165252685546875,
0.015472412109375,
0.0404052734375,
0.0501708984375,
-0.005680084228515625,
0.01123046875,
0.008026123046875,
0.06646728515625,
-0.04925537109375,
-0.048736572265625,
-0.0465087890625,
0.02947998046875,
-0.019805908203125,
-0.0596923828125,
0.052642822265625,
0.06536865234375,
0.066162109375,
-0.02020263671875,
0.038238525390625,
-0.0043487548828125,
0.034515380859375,
-0.03240966796875,
0.052978515625,
-0.0491943359375,
-0.01031494140625,
-0.0196380615234375,
-0.046630859375,
0.006641387939453125,
0.05047607421875,
-0.0216064453125,
0.0126190185546875,
0.03643798828125,
0.026031494140625,
0.0123748779296875,
-0.0107879638671875,
0.02532958984375,
-0.00215911865234375,
0.015869140625,
0.0443115234375,
0.034881591796875,
-0.067138671875,
0.0482177734375,
-0.040740966796875,
-0.01548004150390625,
-0.0246429443359375,
-0.053070068359375,
-0.0931396484375,
-0.01471710205078125,
-0.024017333984375,
-0.017425537109375,
0.004638671875,
0.06231689453125,
0.07635498046875,
-0.0592041015625,
-0.0266876220703125,
0.01291656494140625,
-0.01233673095703125,
-0.03070068359375,
-0.01776123046875,
0.041290283203125,
-0.0208892822265625,
-0.054168701171875,
0.00024819374084472656,
-0.0169525146484375,
0.022705078125,
-0.0071868896484375,
-0.02001953125,
-0.01837158203125,
-0.00164794921875,
0.012420654296875,
0.00621795654296875,
-0.052734375,
-0.038726806640625,
-0.02374267578125,
0.002048492431640625,
0.0121612548828125,
0.01561737060546875,
-0.034942626953125,
0.040069580078125,
0.01910400390625,
0.02203369140625,
0.0643310546875,
-0.0091705322265625,
0.020416259765625,
-0.07049560546875,
0.0260162353515625,
0.0107879638671875,
0.037567138671875,
-0.00193023681640625,
-0.025604248046875,
0.0343017578125,
0.030242919921875,
-0.049072265625,
-0.060882568359375,
-0.015167236328125,
-0.07659912109375,
0.003902435302734375,
0.0638427734375,
-0.00032448768615722656,
-0.01904296875,
0.026458740234375,
-0.009735107421875,
0.0203399658203125,
-0.0257720947265625,
0.047760009765625,
0.0491943359375,
-0.0206146240234375,
-0.006046295166015625,
-0.05029296875,
0.03533935546875,
0.0204620361328125,
-0.039215087890625,
-0.032745361328125,
0.0159149169921875,
0.041778564453125,
0.01354217529296875,
0.0188140869140625,
0.0059814453125,
0.026031494140625,
0.0021839141845703125,
0.032257080078125,
-0.022186279296875,
-0.0238800048828125,
-0.027130126953125,
-0.002223968505859375,
-0.005001068115234375,
-0.055023193359375
]
] |
RockySong/dqn-500kstep-SpaceInvadersNoFrameskip-v4 | 2023-09-27T10:02:11.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | RockySong | null | null | RockySong/dqn-500kstep-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-09-27T10:01:42 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 268.00 +/- 98.72
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga RockySong -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga RockySong -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga RockySong
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 400000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,760 | [
[
-0.04290771484375,
-0.039031982421875,
0.0189971923828125,
0.025146484375,
-0.012298583984375,
-0.0147247314453125,
0.00847625732421875,
-0.01367950439453125,
0.013427734375,
0.0214080810546875,
-0.07275390625,
-0.037689208984375,
-0.0274200439453125,
-0.0008263587951660156,
0.0004391670227050781,
0.07598876953125,
-0.0038604736328125,
0.009765625,
-0.01399993896484375,
-0.0146331787109375,
-0.0265655517578125,
-0.0194549560546875,
-0.0528564453125,
-0.033172607421875,
0.01039886474609375,
0.01009368896484375,
0.0625,
0.07275390625,
0.0399169921875,
0.0267791748046875,
-0.01131439208984375,
-0.004241943359375,
-0.032745361328125,
-0.0030918121337890625,
0.0026874542236328125,
-0.01849365234375,
-0.0281219482421875,
-0.0097808837890625,
0.051971435546875,
0.006130218505859375,
-0.017608642578125,
0.01995849609375,
-0.0196380615234375,
0.0295867919921875,
-0.03778076171875,
0.0374755859375,
-0.00975799560546875,
0.033355712890625,
0.0050506591796875,
-0.00959014892578125,
0.0037078857421875,
-0.00516510009765625,
-0.0005869865417480469,
-0.08587646484375,
0.01323699951171875,
0.0055084228515625,
0.1014404296875,
0.038482666015625,
-0.0195465087890625,
0.00794219970703125,
-0.04302978515625,
0.052886962890625,
-0.0694580078125,
0.03680419921875,
0.0203094482421875,
0.0293731689453125,
-0.016448974609375,
-0.06671142578125,
-0.032470703125,
-0.0182647705078125,
0.004566192626953125,
0.0240020751953125,
-0.006305694580078125,
-0.00299835205078125,
0.05230712890625,
0.0043487548828125,
-0.047088623046875,
0.00785064697265625,
-0.0374755859375,
-0.0147552490234375,
0.03265380859375,
0.041656494140625,
0.00855255126953125,
-0.01410675048828125,
-0.03521728515625,
-0.0443115234375,
-0.026580810546875,
0.032562255859375,
0.013214111328125,
0.014312744140625,
-0.0287017822265625,
0.042510986328125,
-0.03570556640625,
0.036895751953125,
0.010345458984375,
-0.016571044921875,
0.024871826171875,
-0.0213775634765625,
-0.0177154541015625,
-0.0278472900390625,
0.0675048828125,
0.04766845703125,
-0.01366424560546875,
0.01776123046875,
-0.026031494140625,
-0.0203399658203125,
0.00797271728515625,
-0.06463623046875,
-0.025299072265625,
0.04229736328125,
-0.0245361328125,
-0.00510406494140625,
-0.0059967041015625,
-0.055419921875,
-0.0088043212890625,
-0.0081939697265625,
0.032745361328125,
-0.047027587890625,
-0.0124969482421875,
-0.00010609626770019531,
-0.0283355712890625,
0.040557861328125,
0.0208282470703125,
-0.059356689453125,
0.029327392578125,
0.03509521484375,
0.059326171875,
0.0081024169921875,
-0.049530029296875,
-0.02825927734375,
0.0157928466796875,
-0.0294647216796875,
0.050018310546875,
-0.00011628866195678711,
-0.024658203125,
-0.0009832382202148438,
0.011444091796875,
-0.0036106109619140625,
-0.0340576171875,
0.0251007080078125,
-0.0474853515625,
0.00931549072265625,
-0.007358551025390625,
-0.034454345703125,
-0.02593994140625,
0.039154052734375,
-0.0552978515625,
0.0875244140625,
0.0132293701171875,
-0.0572509765625,
0.035858154296875,
-0.051727294921875,
-0.003143310546875,
0.0193634033203125,
-0.0033168792724609375,
-0.0589599609375,
-0.033294677734375,
0.0133209228515625,
0.039306640625,
0.01433563232421875,
0.00899505615234375,
-0.034820556640625,
-0.025390625,
0.0109405517578125,
0.005565643310546875,
0.06939697265625,
0.01093292236328125,
-0.0294647216796875,
0.0169677734375,
-0.06005859375,
0.0149078369140625,
0.0176849365234375,
-0.042633056640625,
0.006595611572265625,
-0.00251007080078125,
0.016632080078125,
0.0255584716796875,
0.024688720703125,
-0.025482177734375,
0.01055908203125,
-0.0257720947265625,
0.032958984375,
0.037078857421875,
0.0188446044921875,
0.01458740234375,
-0.022491455078125,
0.0390625,
0.012237548828125,
0.0229949951171875,
0.0172119140625,
-0.025390625,
-0.03680419921875,
-0.02392578125,
-0.003368377685546875,
0.0308837890625,
-0.0550537109375,
0.036895751953125,
-0.0104827880859375,
-0.040313720703125,
-0.017913818359375,
-0.008270263671875,
0.032257080078125,
0.01502227783203125,
0.038482666015625,
0.007598876953125,
-0.0458984375,
-0.0628662109375,
0.006000518798828125,
-0.0146942138671875,
0.01128387451171875,
0.03570556640625,
0.0770263671875,
-0.02911376953125,
0.054473876953125,
-0.036712646484375,
-0.0171966552734375,
-0.00666046142578125,
-0.0172119140625,
0.023956298828125,
0.0565185546875,
0.04840087890625,
-0.042022705078125,
-0.02752685546875,
-0.005359649658203125,
-0.07501220703125,
0.037689208984375,
0.0016107559204101562,
-0.0083160400390625,
0.002780914306640625,
0.031585693359375,
-0.07073974609375,
0.0290374755859375,
0.0183563232421875,
-0.0233154296875,
0.0494384765625,
-0.0276947021484375,
0.010498046875,
-0.0670166015625,
0.0134735107421875,
0.00860595703125,
-0.0138092041015625,
-0.02447509765625,
0.03948974609375,
0.00492095947265625,
-0.0210418701171875,
-0.06317138671875,
0.05120849609375,
-0.029144287109375,
-0.00728607177734375,
-0.0000667572021484375,
-0.0034637451171875,
-0.0026836395263671875,
0.05029296875,
0.0150299072265625,
0.0447998046875,
0.06341552734375,
-0.06048583984375,
0.047088623046875,
0.0306396484375,
-0.0092010498046875,
0.00884246826171875,
-0.048736572265625,
-0.0084228515625,
-0.001483917236328125,
0.036468505859375,
-0.05523681640625,
-0.039306640625,
0.046417236328125,
-0.0360107421875,
0.01024627685546875,
-0.02471923828125,
-0.018218994140625,
-0.0369873046875,
-0.0227508544921875,
0.026397705078125,
0.0302581787109375,
-0.0401611328125,
0.026947021484375,
0.02166748046875,
0.016693115234375,
-0.061126708984375,
-0.034332275390625,
-0.00699615478515625,
-0.031494140625,
-0.03973388671875,
0.01715087890625,
-0.0087738037109375,
-0.011962890625,
0.0156097412109375,
-0.00690460205078125,
-0.00821685791015625,
0.00962066650390625,
0.0178070068359375,
0.023651123046875,
-0.02783203125,
-0.036376953125,
-0.022430419921875,
-0.006855010986328125,
0.029205322265625,
-0.0229949951171875,
0.026275634765625,
-0.0227508544921875,
-0.005413055419921875,
-0.045074462890625,
-0.007656097412109375,
0.04449462890625,
0.00241851806640625,
0.0628662109375,
0.055419921875,
-0.042449951171875,
-0.0209197998046875,
-0.01059722900390625,
-0.01702880859375,
-0.03338623046875,
0.043212890625,
-0.024658203125,
-0.03851318359375,
0.05633544921875,
0.008392333984375,
0.0184478759765625,
0.04449462890625,
0.024993896484375,
-0.0116729736328125,
0.0875244140625,
0.036041259765625,
0.00629425048828125,
0.03662109375,
-0.06744384765625,
-0.02606201171875,
-0.06353759765625,
-0.03436279296875,
-0.036712646484375,
0.001739501953125,
-0.032501220703125,
-0.035003662109375,
0.02886962890625,
0.00939178466796875,
-0.049835205078125,
0.0340576171875,
-0.0214691162109375,
0.037841796875,
0.0264739990234375,
0.00872802734375,
-0.016754150390625,
0.0020732879638671875,
-0.025054931640625,
-0.008148193359375,
-0.06402587890625,
-0.0214080810546875,
0.0667724609375,
0.039794921875,
0.062408447265625,
0.00890350341796875,
0.04791259765625,
0.0111236572265625,
-0.0036106109619140625,
-0.047332763671875,
0.03826904296875,
0.013458251953125,
-0.05902099609375,
-0.035125732421875,
-0.0250091552734375,
-0.05853271484375,
0.035858154296875,
-0.0233306884765625,
-0.052490234375,
0.010650634765625,
0.0108489990234375,
-0.04608154296875,
0.0164337158203125,
-0.01995849609375,
0.07696533203125,
-0.01024627685546875,
-0.045745849609375,
-0.0068359375,
-0.05511474609375,
0.05059814453125,
0.01450347900390625,
0.00945281982421875,
0.00397491455078125,
-0.00872802734375,
0.06976318359375,
-0.048004150390625,
0.041595458984375,
-0.041229248046875,
0.023162841796875,
0.032257080078125,
0.0065460205078125,
0.036041259765625,
0.03924560546875,
0.00787353515625,
0.008575439453125,
0.0159149169921875,
-0.036224365234375,
-0.0318603515625,
0.0560302734375,
-0.103759765625,
-0.036407470703125,
-0.05096435546875,
-0.0298919677734375,
-0.002521514892578125,
0.02001953125,
0.0191192626953125,
0.02655029296875,
-0.016693115234375,
0.025146484375,
0.05548095703125,
-0.019775390625,
0.033294677734375,
0.044189453125,
-0.01763916015625,
-0.049407958984375,
0.056610107421875,
-0.00896453857421875,
-0.0012063980102539062,
0.01306915283203125,
0.0005903244018554688,
-0.046661376953125,
-0.035980224609375,
-0.052581787109375,
0.0157623291015625,
-0.057464599609375,
-0.0216522216796875,
-0.0518798828125,
-0.043304443359375,
-0.035003662109375,
0.0004112720489501953,
-0.037139892578125,
-0.0213623046875,
-0.02984619140625,
-0.005832672119140625,
0.0297698974609375,
0.043304443359375,
-0.033355712890625,
0.028778076171875,
-0.0550537109375,
0.0275115966796875,
0.01983642578125,
0.0106048583984375,
-0.006046295166015625,
-0.051605224609375,
-0.04364013671875,
0.007007598876953125,
-0.0360107421875,
-0.045257568359375,
0.05255126953125,
0.0003478527069091797,
0.06121826171875,
0.0347900390625,
-0.019622802734375,
0.06732177734375,
-0.0199737548828125,
0.071044921875,
0.005344390869140625,
-0.048797607421875,
0.0364990234375,
-0.042266845703125,
0.0161590576171875,
0.0259857177734375,
0.04046630859375,
-0.026397705078125,
-0.0120697021484375,
-0.06103515625,
-0.061279296875,
0.0859375,
0.01776123046875,
-0.0155029296875,
0.01397705078125,
0.034515380859375,
-0.02069091796875,
-0.003780364990234375,
-0.08367919921875,
-0.0279998779296875,
-0.041778564453125,
0.0238037109375,
-0.01861572265625,
0.02471923828125,
-0.02484130859375,
-0.023773193359375,
0.07830810546875,
-0.0125885009765625,
0.0224456787109375,
0.02081298828125,
-0.0022449493408203125,
-0.03045654296875,
-0.0183563232421875,
0.048583984375,
0.03387451171875,
-0.04931640625,
-0.02325439453125,
0.0142364501953125,
-0.028289794921875,
0.020416259765625,
0.01800537109375,
-0.007198333740234375,
-0.00862884521484375,
0.031097412109375,
0.068115234375,
0.0229949951171875,
-0.029052734375,
0.04144287109375,
-0.02239990234375,
-0.03570556640625,
-0.03375244140625,
0.018463134765625,
0.007396697998046875,
0.0303192138671875,
0.0120697021484375,
0.02374267578125,
0.0003743171691894531,
-0.0236053466796875,
0.00803375244140625,
0.03070068359375,
-0.035186767578125,
-0.0172119140625,
0.072998046875,
-0.0040130615234375,
-0.0175323486328125,
0.0618896484375,
-0.00885009765625,
-0.029937744140625,
0.08477783203125,
0.040008544921875,
0.055572509765625,
0.00687408447265625,
0.0192718505859375,
0.061798095703125,
0.0126953125,
-0.0234222412109375,
0.018218994140625,
0.003559112548828125,
-0.05657958984375,
-0.01445770263671875,
-0.041900634765625,
-0.037750244140625,
0.037750244140625,
-0.058685302734375,
0.0218658447265625,
-0.05120849609375,
-0.01340484619140625,
-0.00885772705078125,
0.0304718017578125,
-0.059539794921875,
0.0196990966796875,
0.0148162841796875,
0.08575439453125,
-0.0635986328125,
0.057708740234375,
0.07696533203125,
-0.045745849609375,
-0.07037353515625,
-0.006687164306640625,
0.000056743621826171875,
-0.048858642578125,
0.0523681640625,
-0.00447845458984375,
0.01068878173828125,
0.0175018310546875,
-0.0638427734375,
-0.08935546875,
0.1043701171875,
-0.00858306884765625,
-0.0191497802734375,
0.01268768310546875,
-0.00417327880859375,
0.04632568359375,
-0.0268096923828125,
0.0288848876953125,
0.022186279296875,
0.039947509765625,
0.00714874267578125,
-0.035491943359375,
0.00444793701171875,
-0.021514892578125,
0.00263214111328125,
-0.0105438232421875,
-0.07354736328125,
0.087890625,
-0.02410888671875,
-0.0029582977294921875,
0.01399993896484375,
0.0655517578125,
0.0635986328125,
0.00896453857421875,
0.03326416015625,
0.055755615234375,
0.0288543701171875,
0.00443267822265625,
0.05926513671875,
-0.0341796875,
0.045989990234375,
0.04827880859375,
-0.02362060546875,
0.05059814453125,
0.01528167724609375,
-0.017974853515625,
0.035125732421875,
0.06646728515625,
-0.026275634765625,
0.04278564453125,
0.01287078857421875,
0.001926422119140625,
-0.01904296875,
0.02557373046875,
-0.044097900390625,
0.01132965087890625,
0.028900146484375,
0.01143646240234375,
-0.0201568603515625,
-0.0083465576171875,
-0.0117950439453125,
-0.0243377685546875,
-0.019561767578125,
0.05963134765625,
-0.0070648193359375,
-0.0589599609375,
0.06451416015625,
0.00870513916015625,
0.032073974609375,
-0.053466796875,
-0.013824462890625,
-0.025177001953125,
0.026702880859375,
-0.0195465087890625,
-0.056732177734375,
-0.002147674560546875,
-0.0101776123046875,
-0.001918792724609375,
0.002994537353515625,
0.038482666015625,
-0.00884246826171875,
-0.0146026611328125,
0.03363037109375,
0.0340576171875,
0.0272369384765625,
0.01910400390625,
-0.08477783203125,
-0.006694793701171875,
-0.004734039306640625,
-0.0377197265625,
0.034881591796875,
0.0364990234375,
0.0024738311767578125,
0.06793212890625,
0.046051025390625,
-0.00384521484375,
0.0157928466796875,
-0.016326904296875,
0.07427978515625,
-0.06597900390625,
-0.045501708984375,
-0.038330078125,
0.0413818359375,
0.0111846923828125,
-0.04376220703125,
0.05615234375,
0.067626953125,
0.0621337890625,
-0.033721923828125,
0.05035400390625,
-0.01910400390625,
-0.0007176399230957031,
-0.0394287109375,
0.051239013671875,
-0.04632568359375,
0.0031719207763671875,
-0.01366424560546875,
-0.05853271484375,
-0.002193450927734375,
0.054901123046875,
0.00336456298828125,
0.004669189453125,
0.0491943359375,
0.07745361328125,
-0.0195770263671875,
-0.01385498046875,
0.0226898193359375,
0.0261688232421875,
0.0171051025390625,
0.034942626953125,
0.08050537109375,
-0.054473876953125,
0.051025390625,
-0.041961669921875,
-0.0099334716796875,
-0.013763427734375,
-0.049407958984375,
-0.05657958984375,
-0.02459716796875,
-0.035980224609375,
-0.0517578125,
0.0135345458984375,
0.0675048828125,
0.07275390625,
-0.05322265625,
-0.03826904296875,
-0.0027446746826171875,
0.0001685619354248047,
-0.0361328125,
-0.022369384765625,
0.01727294921875,
-0.01328277587890625,
-0.0472412109375,
0.037506103515625,
-0.009429931640625,
0.0093536376953125,
-0.0269622802734375,
-0.03662109375,
-0.0248870849609375,
-0.020050048828125,
0.00984954833984375,
0.0482177734375,
-0.04351806640625,
-0.01690673828125,
-0.0152587890625,
-0.0175323486328125,
0.002544403076171875,
0.0203857421875,
-0.0638427734375,
-0.0046539306640625,
0.0310211181640625,
0.01389312744140625,
0.063720703125,
0.0017957687377929688,
0.0230255126953125,
-0.040191650390625,
0.00994110107421875,
0.015350341796875,
0.030181884765625,
0.008941650390625,
-0.02691650390625,
0.035369873046875,
0.0279998779296875,
-0.060638427734375,
-0.05389404296875,
-0.0162506103515625,
-0.06988525390625,
-0.0264739990234375,
0.08123779296875,
-0.029266357421875,
-0.04339599609375,
0.0006375312805175781,
-0.00913238525390625,
0.01557159423828125,
-0.0347900390625,
0.035980224609375,
0.03277587890625,
-0.01776123046875,
0.0016613006591796875,
-0.050994873046875,
0.056182861328125,
0.003978729248046875,
-0.0521240234375,
-0.0160064697265625,
0.042236328125,
0.04156494140625,
0.014251708984375,
0.0340576171875,
-0.0005517005920410156,
0.03485107421875,
0.0266571044921875,
0.0204010009765625,
-0.01270294189453125,
-0.02783203125,
-0.04498291015625,
0.005828857421875,
-0.00899505615234375,
-0.00975799560546875
]
] |
anders0204/SpaceInvaders | 2023-09-27T10:06:58.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | anders0204 | null | null | anders0204/SpaceInvaders | 0 | 2 | stable-baselines3 | 2023-09-27T10:06:22 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 582.00 +/- 235.48
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga anders0204 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga anders0204 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga anders0204
```
## Hyperparameters
```python
OrderedDict([('batch_size', 32),
('buffer_size', 100000),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_final_eps', 0.01),
('exploration_fraction', 0.1),
('frame_stack', 4),
('gradient_steps', 1),
('learning_rate', 0.0001),
('learning_starts', 100000),
('n_timesteps', 1000000.0),
('optimize_memory_usage', False),
('policy', 'CnnPolicy'),
('target_update_interval', 1000),
('train_freq', 4),
('normalize', False)])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,765 | [
[
-0.043243408203125,
-0.0399169921875,
0.019775390625,
0.0247650146484375,
-0.01078033447265625,
-0.0178070068359375,
0.00962066650390625,
-0.0130157470703125,
0.01305389404296875,
0.0225830078125,
-0.07177734375,
-0.0355224609375,
-0.025604248046875,
-0.003753662109375,
-0.00027179718017578125,
0.0740966796875,
-0.003215789794921875,
0.0097808837890625,
-0.016265869140625,
-0.01503753662109375,
-0.0244598388671875,
-0.0210723876953125,
-0.052093505859375,
-0.032012939453125,
0.01123046875,
0.01032257080078125,
0.06207275390625,
0.07342529296875,
0.039764404296875,
0.027740478515625,
-0.01032257080078125,
-0.0033817291259765625,
-0.03094482421875,
-0.00371551513671875,
0.002742767333984375,
-0.0172271728515625,
-0.0280303955078125,
-0.01099395751953125,
0.051849365234375,
0.00571441650390625,
-0.01654052734375,
0.0196990966796875,
-0.018280029296875,
0.0308837890625,
-0.0390625,
0.03546142578125,
-0.008697509765625,
0.03265380859375,
0.003910064697265625,
-0.009674072265625,
0.0032520294189453125,
-0.0046539306640625,
-0.0010309219360351562,
-0.086181640625,
0.01346588134765625,
0.0032672882080078125,
0.10150146484375,
0.038909912109375,
-0.02069091796875,
0.00994110107421875,
-0.045928955078125,
0.052093505859375,
-0.0692138671875,
0.036712646484375,
0.01953125,
0.03143310546875,
-0.015045166015625,
-0.06634521484375,
-0.03375244140625,
-0.0174407958984375,
0.005096435546875,
0.0234222412109375,
-0.0081634521484375,
-0.00266265869140625,
0.053680419921875,
0.0023441314697265625,
-0.045654296875,
0.008514404296875,
-0.036346435546875,
-0.01641845703125,
0.03289794921875,
0.04168701171875,
0.008514404296875,
-0.01233673095703125,
-0.036407470703125,
-0.04296875,
-0.0260467529296875,
0.033660888671875,
0.0143585205078125,
0.01267242431640625,
-0.0293121337890625,
0.0421142578125,
-0.035919189453125,
0.03643798828125,
0.009033203125,
-0.01560211181640625,
0.025634765625,
-0.0212249755859375,
-0.0171051025390625,
-0.02978515625,
0.065673828125,
0.048858642578125,
-0.0123748779296875,
0.0191802978515625,
-0.02630615234375,
-0.01934814453125,
0.00809478759765625,
-0.06463623046875,
-0.0243682861328125,
0.041900634765625,
-0.0243377685546875,
-0.004550933837890625,
-0.005306243896484375,
-0.057220458984375,
-0.00860595703125,
-0.0079803466796875,
0.032867431640625,
-0.045318603515625,
-0.01275634765625,
0.0004374980926513672,
-0.0287322998046875,
0.0426025390625,
0.022308349609375,
-0.058563232421875,
0.0292816162109375,
0.03436279296875,
0.058380126953125,
0.00666046142578125,
-0.049713134765625,
-0.02838134765625,
0.01520538330078125,
-0.0284576416015625,
0.050689697265625,
0.001758575439453125,
-0.023284912109375,
0.0006513595581054688,
0.01216888427734375,
-0.0031681060791015625,
-0.03424072265625,
0.0247650146484375,
-0.04833984375,
0.00862884521484375,
-0.0081939697265625,
-0.035003662109375,
-0.0253143310546875,
0.038909912109375,
-0.0560302734375,
0.0877685546875,
0.011871337890625,
-0.05828857421875,
0.0341796875,
-0.05194091796875,
-0.0034656524658203125,
0.0188446044921875,
-0.002765655517578125,
-0.059051513671875,
-0.0335693359375,
0.0131988525390625,
0.039306640625,
0.015869140625,
0.009033203125,
-0.035736083984375,
-0.0253143310546875,
0.01103973388671875,
0.0021457672119140625,
0.06982421875,
0.00994110107421875,
-0.030487060546875,
0.018035888671875,
-0.060150146484375,
0.015045166015625,
0.01727294921875,
-0.041168212890625,
0.007099151611328125,
-0.0030364990234375,
0.01739501953125,
0.0269012451171875,
0.026397705078125,
-0.0275115966796875,
0.00968170166015625,
-0.025421142578125,
0.0338134765625,
0.0382080078125,
0.0191650390625,
0.014556884765625,
-0.0230560302734375,
0.03839111328125,
0.01386260986328125,
0.023834228515625,
0.01702880859375,
-0.024749755859375,
-0.039825439453125,
-0.02166748046875,
-0.004364013671875,
0.031280517578125,
-0.05767822265625,
0.0374755859375,
-0.01016998291015625,
-0.040252685546875,
-0.0175628662109375,
-0.00888824462890625,
0.031005859375,
0.01593017578125,
0.037841796875,
0.01031494140625,
-0.045257568359375,
-0.064453125,
0.0088958740234375,
-0.0128326416015625,
0.0119171142578125,
0.036163330078125,
0.07763671875,
-0.029571533203125,
0.0560302734375,
-0.036956787109375,
-0.0165863037109375,
-0.006542205810546875,
-0.019622802734375,
0.0224761962890625,
0.056976318359375,
0.04925537109375,
-0.04217529296875,
-0.026947021484375,
-0.004611968994140625,
-0.07440185546875,
0.03790283203125,
0.0012121200561523438,
-0.0087890625,
0.004322052001953125,
0.033294677734375,
-0.07037353515625,
0.0316162109375,
0.0173492431640625,
-0.02349853515625,
0.05120849609375,
-0.0293426513671875,
0.00856781005859375,
-0.066650390625,
0.0136566162109375,
0.00870513916015625,
-0.0128021240234375,
-0.0240631103515625,
0.03765869140625,
0.0054931640625,
-0.0208282470703125,
-0.06402587890625,
0.053619384765625,
-0.02679443359375,
-0.007770538330078125,
0.0002605915069580078,
-0.005084991455078125,
-0.0026035308837890625,
0.051513671875,
0.0145263671875,
0.045501708984375,
0.06402587890625,
-0.061004638671875,
0.04742431640625,
0.028900146484375,
-0.0100860595703125,
0.00830078125,
-0.049957275390625,
-0.00872802734375,
-0.0018777847290039062,
0.033660888671875,
-0.0557861328125,
-0.0382080078125,
0.04315185546875,
-0.036895751953125,
0.007610321044921875,
-0.0214080810546875,
-0.0177001953125,
-0.037384033203125,
-0.0224761962890625,
0.0253753662109375,
0.029937744140625,
-0.0413818359375,
0.02655029296875,
0.021575927734375,
0.016998291015625,
-0.06048583984375,
-0.033966064453125,
-0.00872802734375,
-0.031005859375,
-0.04107666015625,
0.0179443359375,
-0.00908660888671875,
-0.012420654296875,
0.01561737060546875,
-0.00527191162109375,
-0.00839996337890625,
0.01030731201171875,
0.01727294921875,
0.0235748291015625,
-0.0280303955078125,
-0.03460693359375,
-0.0225372314453125,
-0.00756072998046875,
0.029205322265625,
-0.0228424072265625,
0.0260467529296875,
-0.022125244140625,
-0.006061553955078125,
-0.04595947265625,
-0.006923675537109375,
0.045166015625,
0.0021877288818359375,
0.061981201171875,
0.057037353515625,
-0.04296875,
-0.0226287841796875,
-0.01169586181640625,
-0.016937255859375,
-0.033966064453125,
0.04290771484375,
-0.025421142578125,
-0.039520263671875,
0.057891845703125,
0.00861358642578125,
0.01727294921875,
0.045318603515625,
0.023712158203125,
-0.0139617919921875,
0.08740234375,
0.038970947265625,
0.005832672119140625,
0.0379638671875,
-0.06781005859375,
-0.0275115966796875,
-0.062744140625,
-0.03338623046875,
-0.036956787109375,
0.0016660690307617188,
-0.0323486328125,
-0.0345458984375,
0.03094482421875,
0.007904052734375,
-0.051605224609375,
0.03155517578125,
-0.0206451416015625,
0.037139892578125,
0.0279388427734375,
0.01029205322265625,
-0.01849365234375,
0.004161834716796875,
-0.0266265869140625,
-0.008392333984375,
-0.06396484375,
-0.0211334228515625,
0.0660400390625,
0.040374755859375,
0.060302734375,
0.0086517333984375,
0.046844482421875,
0.01357269287109375,
-0.005584716796875,
-0.046875,
0.039703369140625,
0.01251220703125,
-0.0574951171875,
-0.037200927734375,
-0.0245513916015625,
-0.05987548828125,
0.0347900390625,
-0.022247314453125,
-0.0531005859375,
0.01202392578125,
0.01047515869140625,
-0.04644775390625,
0.017608642578125,
-0.01910400390625,
0.077880859375,
-0.0111236572265625,
-0.048065185546875,
-0.005657196044921875,
-0.05462646484375,
0.048309326171875,
0.01557159423828125,
0.0079345703125,
0.004547119140625,
-0.009429931640625,
0.0703125,
-0.05084228515625,
0.042266845703125,
-0.043487548828125,
0.02374267578125,
0.032501220703125,
0.0049591064453125,
0.0357666015625,
0.037109375,
0.006481170654296875,
0.0081329345703125,
0.01399993896484375,
-0.037200927734375,
-0.032684326171875,
0.05462646484375,
-0.1044921875,
-0.0357666015625,
-0.04986572265625,
-0.02874755859375,
-0.00328826904296875,
0.0202484130859375,
0.0201416015625,
0.02740478515625,
-0.017120361328125,
0.0253448486328125,
0.05596923828125,
-0.0205230712890625,
0.034088134765625,
0.044281005859375,
-0.0171051025390625,
-0.049102783203125,
0.05828857421875,
-0.00795745849609375,
-0.0018148422241210938,
0.013153076171875,
0.0008130073547363281,
-0.045562744140625,
-0.034881591796875,
-0.05352783203125,
0.01430511474609375,
-0.057098388671875,
-0.0211639404296875,
-0.05224609375,
-0.045166015625,
-0.035888671875,
-0.0006036758422851562,
-0.03643798828125,
-0.0205078125,
-0.030029296875,
-0.0070037841796875,
0.0301971435546875,
0.042938232421875,
-0.033538818359375,
0.0301971435546875,
-0.055450439453125,
0.026641845703125,
0.021331787109375,
0.009368896484375,
-0.004245758056640625,
-0.05084228515625,
-0.04296875,
0.00661468505859375,
-0.035797119140625,
-0.044189453125,
0.05279541015625,
-0.0005679130554199219,
0.062347412109375,
0.03466796875,
-0.0195159912109375,
0.06622314453125,
-0.01861572265625,
0.070556640625,
0.00399017333984375,
-0.04949951171875,
0.03631591796875,
-0.043243408203125,
0.017578125,
0.02587890625,
0.040069580078125,
-0.02471923828125,
-0.0088348388671875,
-0.06121826171875,
-0.06060791015625,
0.083740234375,
0.01666259765625,
-0.01442718505859375,
0.01551055908203125,
0.032806396484375,
-0.02154541015625,
-0.003925323486328125,
-0.08233642578125,
-0.02789306640625,
-0.039154052734375,
0.0235595703125,
-0.0190887451171875,
0.023284912109375,
-0.02288818359375,
-0.0263214111328125,
0.077880859375,
-0.01261138916015625,
0.023834228515625,
0.02117919921875,
-0.001979827880859375,
-0.0287322998046875,
-0.018951416015625,
0.04833984375,
0.0322265625,
-0.04742431640625,
-0.02349853515625,
0.01265716552734375,
-0.028289794921875,
0.0214080810546875,
0.0172882080078125,
-0.00969696044921875,
-0.00885009765625,
0.031524658203125,
0.0689697265625,
0.0220489501953125,
-0.0284271240234375,
0.042877197265625,
-0.020538330078125,
-0.035888671875,
-0.034759521484375,
0.0178680419921875,
0.007801055908203125,
0.030426025390625,
0.01107025146484375,
0.024078369140625,
0.00027108192443847656,
-0.0219268798828125,
0.009735107421875,
0.030181884765625,
-0.034881591796875,
-0.0167083740234375,
0.07220458984375,
-0.0013294219970703125,
-0.0173492431640625,
0.06402587890625,
-0.0101776123046875,
-0.0308685302734375,
0.08746337890625,
0.039794921875,
0.056793212890625,
0.007373809814453125,
0.020263671875,
0.061248779296875,
0.01265716552734375,
-0.022247314453125,
0.020294189453125,
0.0024738311767578125,
-0.05987548828125,
-0.01346588134765625,
-0.0421142578125,
-0.037811279296875,
0.0374755859375,
-0.05938720703125,
0.0214080810546875,
-0.050018310546875,
-0.0140533447265625,
-0.00702667236328125,
0.0294189453125,
-0.060150146484375,
0.018341064453125,
0.01424407958984375,
0.08636474609375,
-0.06427001953125,
0.060394287109375,
0.076416015625,
-0.044403076171875,
-0.0689697265625,
-0.00662994384765625,
-0.0002994537353515625,
-0.0482177734375,
0.05133056640625,
-0.0032806396484375,
0.01029205322265625,
0.018218994140625,
-0.0638427734375,
-0.08984375,
0.10321044921875,
-0.007659912109375,
-0.0194091796875,
0.0127716064453125,
-0.0028553009033203125,
0.046478271484375,
-0.026336669921875,
0.0278472900390625,
0.0215301513671875,
0.041046142578125,
0.006305694580078125,
-0.034698486328125,
0.0025005340576171875,
-0.023529052734375,
0.002368927001953125,
-0.01041412353515625,
-0.0726318359375,
0.08831787109375,
-0.024810791015625,
-0.0024871826171875,
0.01470947265625,
0.06536865234375,
0.061767578125,
0.00998687744140625,
0.0325927734375,
0.056793212890625,
0.029052734375,
0.00475311279296875,
0.057708740234375,
-0.033660888671875,
0.04449462890625,
0.04925537109375,
-0.02532958984375,
0.052093505859375,
0.01543426513671875,
-0.01873779296875,
0.035400390625,
0.065185546875,
-0.026763916015625,
0.041534423828125,
0.0128021240234375,
0.0022678375244140625,
-0.0193634033203125,
0.024749755859375,
-0.04266357421875,
0.01110076904296875,
0.0303192138671875,
0.01213836669921875,
-0.020355224609375,
-0.00484466552734375,
-0.01387786865234375,
-0.0234375,
-0.0204315185546875,
0.060760498046875,
-0.0087127685546875,
-0.0576171875,
0.06256103515625,
0.007904052734375,
0.032989501953125,
-0.052337646484375,
-0.01392364501953125,
-0.025115966796875,
0.0275421142578125,
-0.019561767578125,
-0.0565185546875,
-0.0020503997802734375,
-0.01007080078125,
-0.003826141357421875,
0.003398895263671875,
0.0408935546875,
-0.00861358642578125,
-0.0156402587890625,
0.034210205078125,
0.03509521484375,
0.02642822265625,
0.0180816650390625,
-0.08380126953125,
-0.006534576416015625,
-0.0037860870361328125,
-0.037689208984375,
0.034454345703125,
0.03582763671875,
0.0005788803100585938,
0.068359375,
0.045318603515625,
-0.0044708251953125,
0.015350341796875,
-0.0170440673828125,
0.07391357421875,
-0.06634521484375,
-0.04644775390625,
-0.03851318359375,
0.042572021484375,
0.01043701171875,
-0.0435791015625,
0.057037353515625,
0.067138671875,
0.0633544921875,
-0.033233642578125,
0.050811767578125,
-0.017303466796875,
-0.0014934539794921875,
-0.039215087890625,
0.050445556640625,
-0.046173095703125,
0.0018548965454101562,
-0.01108551025390625,
-0.057098388671875,
-0.00006467103958129883,
0.0531005859375,
0.0019207000732421875,
0.005336761474609375,
0.047332763671875,
0.07830810546875,
-0.0189208984375,
-0.01459503173828125,
0.0243682861328125,
0.0260162353515625,
0.01561737060546875,
0.034698486328125,
0.0799560546875,
-0.0533447265625,
0.04815673828125,
-0.0435791015625,
-0.00835418701171875,
-0.0134124755859375,
-0.048583984375,
-0.0548095703125,
-0.02508544921875,
-0.035400390625,
-0.050445556640625,
0.01291656494140625,
0.065673828125,
0.0731201171875,
-0.0526123046875,
-0.038543701171875,
-0.0031833648681640625,
0.0009217262268066406,
-0.036895751953125,
-0.0222320556640625,
0.0184173583984375,
-0.01201629638671875,
-0.04620361328125,
0.035888671875,
-0.0095672607421875,
0.01018524169921875,
-0.028289794921875,
-0.03582763671875,
-0.024627685546875,
-0.01953125,
0.01026153564453125,
0.046905517578125,
-0.042083740234375,
-0.01580810546875,
-0.0148162841796875,
-0.018341064453125,
0.0023708343505859375,
0.0203399658203125,
-0.06365966796875,
-0.00445556640625,
0.0325927734375,
0.01515960693359375,
0.06365966796875,
0.0013780593872070312,
0.022979736328125,
-0.04052734375,
0.01052093505859375,
0.0150146484375,
0.03070068359375,
0.00820159912109375,
-0.027984619140625,
0.034088134765625,
0.0277557373046875,
-0.06005859375,
-0.053802490234375,
-0.01654052734375,
-0.07080078125,
-0.0261077880859375,
0.08123779296875,
-0.0295867919921875,
-0.04449462890625,
0.0012111663818359375,
-0.0084686279296875,
0.01396942138671875,
-0.03399658203125,
0.0328369140625,
0.0322265625,
-0.017120361328125,
0.002895355224609375,
-0.052001953125,
0.05584716796875,
0.004364013671875,
-0.053863525390625,
-0.0163116455078125,
0.042266845703125,
0.040069580078125,
0.01308441162109375,
0.0347900390625,
0.0008344650268554688,
0.03643798828125,
0.027252197265625,
0.0210723876953125,
-0.01331329345703125,
-0.0296478271484375,
-0.046661376953125,
0.00604248046875,
-0.01038360595703125,
-0.01076507568359375
]
] |
baayematar/wolof | 2023-09-27T11:02:20.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | baayematar | null | null | baayematar/wolof | 0 | 2 | transformers | 2023-09-27T10:56:08 | ---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wolof
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wolof
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3554
- Wer: 0.3717
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.9163 | 0.75 | 1000 | 1.0340 | 0.8431 |
| 0.77 | 1.5 | 2000 | 0.4280 | 0.5549 |
| 0.544 | 2.25 | 3000 | 0.3612 | 0.4818 |
| 0.4548 | 3.0 | 4000 | 0.3530 | 0.4606 |
| 0.3662 | 3.75 | 5000 | 0.3296 | 0.4422 |
| 0.3168 | 4.5 | 6000 | 0.3323 | 0.4303 |
| 0.2651 | 5.25 | 7000 | 0.3133 | 0.4092 |
| 0.2276 | 6.0 | 8000 | 0.3257 | 0.4073 |
| 0.1815 | 6.75 | 9000 | 0.3199 | 0.3861 |
| 0.1583 | 7.5 | 10000 | 0.3268 | 0.38 |
| 0.1313 | 8.25 | 11000 | 0.3505 | 0.3782 |
| 0.1156 | 9.0 | 12000 | 0.3571 | 0.3763 |
| 0.1032 | 9.75 | 13000 | 0.3554 | 0.3717 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
| 2,111 | [
[
-0.03717041015625,
-0.04168701171875,
0.005290985107421875,
0.01169586181640625,
-0.01470947265625,
-0.027862548828125,
-0.0083465576171875,
-0.01412200927734375,
0.01477813720703125,
0.026824951171875,
-0.0606689453125,
-0.04803466796875,
-0.045501708984375,
-0.012359619140625,
-0.017608642578125,
0.08001708984375,
0.007137298583984375,
0.0124359130859375,
-0.00696563720703125,
-0.00806427001953125,
-0.031707763671875,
-0.0277099609375,
-0.0638427734375,
-0.050689697265625,
0.01580810546875,
0.0285797119140625,
0.063232421875,
0.058563232421875,
0.037994384765625,
0.01861572265625,
-0.0282440185546875,
-0.01027679443359375,
-0.04241943359375,
-0.037353515625,
0.00624847412109375,
-0.027801513671875,
-0.0423583984375,
0.003124237060546875,
0.045928955078125,
0.037353515625,
-0.0171356201171875,
0.046630859375,
0.0088958740234375,
0.048919677734375,
-0.0301971435546875,
0.0171356201171875,
-0.0274200439453125,
0.0269775390625,
-0.00768280029296875,
-0.025299072265625,
-0.0119171142578125,
-0.005401611328125,
0.001842498779296875,
-0.0423583984375,
0.037994384765625,
-0.00170135498046875,
0.1009521484375,
0.0261077880859375,
-0.0283355712890625,
0.019439697265625,
-0.057373046875,
0.046234130859375,
-0.051971435546875,
0.0294342041015625,
0.03515625,
0.027557373046875,
0.00029349327087402344,
-0.06011962890625,
-0.03912353515625,
0.016082763671875,
0.0014734268188476562,
0.0165252685546875,
-0.0180206298828125,
-0.0094757080078125,
0.048919677734375,
0.0430908203125,
-0.04876708984375,
0.0163116455078125,
-0.04400634765625,
-0.0275115966796875,
0.048828125,
0.032440185546875,
-0.00733184814453125,
-0.0237274169921875,
-0.033050537109375,
-0.0170745849609375,
-0.020233154296875,
0.0279083251953125,
0.043212890625,
0.0203704833984375,
-0.041290283203125,
0.036285400390625,
-0.02423095703125,
0.05865478515625,
0.007419586181640625,
-0.02484130859375,
0.055206298828125,
-0.006412506103515625,
-0.031219482421875,
-0.0018825531005859375,
0.06158447265625,
0.053558349609375,
0.007625579833984375,
0.01331329345703125,
-0.0177764892578125,
-0.00894927978515625,
0.01629638671875,
-0.0718994140625,
-0.02105712890625,
0.0148162841796875,
-0.053375244140625,
-0.03985595703125,
0.00986480712890625,
-0.0428466796875,
0.018585205078125,
-0.0350341796875,
0.041412353515625,
-0.0281982421875,
-0.01824951171875,
0.004756927490234375,
-0.01120758056640625,
0.027862548828125,
0.00638580322265625,
-0.06048583984375,
0.0219879150390625,
0.0304718017578125,
0.0546875,
0.0163421630859375,
-0.012847900390625,
-0.01203155517578125,
0.00702667236328125,
-0.03369140625,
0.0465087890625,
-0.00733184814453125,
-0.034027099609375,
-0.01074981689453125,
0.0228118896484375,
-0.011871337890625,
-0.033538818359375,
0.06439208984375,
-0.0201263427734375,
0.0219879150390625,
-0.0158843994140625,
-0.041717529296875,
-0.0233001708984375,
0.0202178955078125,
-0.0484619140625,
0.1015625,
0.0138702392578125,
-0.0635986328125,
0.044036865234375,
-0.04150390625,
-0.006290435791015625,
-0.004230499267578125,
-0.006717681884765625,
-0.06500244140625,
-0.0144195556640625,
0.01091766357421875,
0.036407470703125,
-0.02166748046875,
0.0146942138671875,
-0.026824951171875,
-0.041015625,
-0.0022220611572265625,
-0.036285400390625,
0.06304931640625,
0.01360321044921875,
-0.040679931640625,
0.0108642578125,
-0.09625244140625,
0.0272216796875,
0.0242156982421875,
-0.036712646484375,
0.01459503173828125,
-0.027801513671875,
0.03363037109375,
0.029388427734375,
0.0187530517578125,
-0.033203125,
0.004726409912109375,
-0.0242767333984375,
0.03240966796875,
0.046142578125,
0.0141754150390625,
0.00615692138671875,
-0.040130615234375,
0.0226593017578125,
0.01338958740234375,
0.03466796875,
0.01210784912109375,
-0.03680419921875,
-0.056304931640625,
-0.0183563232421875,
0.01177215576171875,
0.027801513671875,
-0.01412200927734375,
0.05450439453125,
-0.00644683837890625,
-0.054931640625,
-0.0243682861328125,
0.00998687744140625,
0.0258331298828125,
0.05157470703125,
0.0306243896484375,
-0.00402069091796875,
-0.034393310546875,
-0.09088134765625,
0.001495361328125,
-0.00206756591796875,
0.01165771484375,
0.0298309326171875,
0.051177978515625,
-0.015289306640625,
0.068115234375,
-0.043487548828125,
-0.027801513671875,
-0.0117950439453125,
0.00434112548828125,
0.04046630859375,
0.053802490234375,
0.058074951171875,
-0.047332763671875,
-0.02337646484375,
-0.00878143310546875,
-0.055999755859375,
0.0206451416015625,
-0.00997161865234375,
-0.018829345703125,
-0.003414154052734375,
0.02032470703125,
-0.034423828125,
0.05694580078125,
0.032684326171875,
-0.0305328369140625,
0.056488037109375,
-0.0267791748046875,
-0.00008088350296020508,
-0.0887451171875,
0.0289306640625,
0.01287078857421875,
-0.019378662109375,
-0.0228729248046875,
-0.01372528076171875,
0.0089569091796875,
-0.0197906494140625,
-0.031707763671875,
0.0423583984375,
-0.01561737060546875,
0.0020275115966796875,
-0.01116180419921875,
-0.01953125,
0.000003874301910400391,
0.052947998046875,
0.00804901123046875,
0.05059814453125,
0.055023193359375,
-0.0401611328125,
0.0222930908203125,
0.03033447265625,
-0.03289794921875,
0.037994384765625,
-0.061859130859375,
0.00566864013671875,
0.0001285076141357422,
0.00279998779296875,
-0.0621337890625,
-0.0260009765625,
0.024658203125,
-0.04315185546875,
0.0200347900390625,
-0.0158538818359375,
-0.01641845703125,
-0.04901123046875,
-0.01558685302734375,
0.01299285888671875,
0.038787841796875,
-0.033233642578125,
0.024749755859375,
-0.0041961669921875,
0.0219879150390625,
-0.047393798828125,
-0.05975341796875,
-0.01274871826171875,
-0.01181793212890625,
-0.041412353515625,
0.024658203125,
-0.0019779205322265625,
0.007904052734375,
0.00788116455078125,
-0.0161895751953125,
-0.01500701904296875,
-0.0055694580078125,
0.036773681640625,
0.0179901123046875,
-0.0158233642578125,
-0.0119171142578125,
-0.00612640380859375,
-0.0265960693359375,
0.01397705078125,
-0.011260986328125,
0.04315185546875,
-0.0083465576171875,
-0.0287322998046875,
-0.07696533203125,
-0.0031452178955078125,
0.035125732421875,
-0.01053619384765625,
0.071044921875,
0.05816650390625,
-0.042510986328125,
-0.00751495361328125,
-0.034515380859375,
-0.0078277587890625,
-0.03375244140625,
0.037872314453125,
-0.035614013671875,
-0.035888671875,
0.061279296875,
-0.0004024505615234375,
0.00391387939453125,
0.07147216796875,
0.039764404296875,
0.0036602020263671875,
0.07769775390625,
0.0237884521484375,
-0.00539398193359375,
0.02117919921875,
-0.07147216796875,
-0.00583648681640625,
-0.05255126953125,
-0.04638671875,
-0.035186767578125,
-0.030120849609375,
-0.04364013671875,
-0.0030994415283203125,
0.01806640625,
0.01274871826171875,
-0.053375244140625,
0.0158233642578125,
-0.04083251953125,
0.0233154296875,
0.0513916015625,
0.029632568359375,
-0.00689697265625,
0.0011434555053710938,
-0.023468017578125,
-0.00650787353515625,
-0.060150146484375,
-0.031585693359375,
0.0921630859375,
0.0265350341796875,
0.04437255859375,
-0.01088714599609375,
0.054931640625,
0.0108184814453125,
0.0009331703186035156,
-0.04705810546875,
0.02142333984375,
0.0091094970703125,
-0.07354736328125,
-0.019775390625,
-0.032196044921875,
-0.0599365234375,
0.01242828369140625,
-0.03106689453125,
-0.055023193359375,
0.02874755859375,
0.0209808349609375,
-0.034912109375,
0.04058837890625,
-0.028839111328125,
0.084228515625,
-0.0084381103515625,
-0.032928466796875,
-0.0043792724609375,
-0.044403076171875,
0.0174102783203125,
-0.0006427764892578125,
0.002437591552734375,
-0.0010776519775390625,
0.0191497802734375,
0.078125,
-0.0501708984375,
0.04266357421875,
-0.0210723876953125,
0.023284912109375,
0.033233642578125,
-0.01189422607421875,
0.044281005859375,
0.016845703125,
-0.0150299072265625,
0.01367950439453125,
0.00917816162109375,
-0.045166015625,
-0.0313720703125,
0.054534912109375,
-0.0836181640625,
-0.021728515625,
-0.037933349609375,
-0.0328369140625,
0.0022563934326171875,
0.0250091552734375,
0.04986572265625,
0.05572509765625,
-0.006107330322265625,
0.029083251953125,
0.036468505859375,
-0.00484466552734375,
0.033111572265625,
0.025604248046875,
-0.0006175041198730469,
-0.052978515625,
0.062255859375,
0.00106048583984375,
0.0182952880859375,
-0.0031681060791015625,
0.00727081298828125,
-0.031036376953125,
-0.0264739990234375,
-0.034759521484375,
0.0174713134765625,
-0.04718017578125,
-0.02105712890625,
-0.0308380126953125,
-0.02911376953125,
-0.036651611328125,
-0.01198577880859375,
-0.040374755859375,
-0.021881103515625,
-0.043060302734375,
-0.01959228515625,
0.036590576171875,
0.040069580078125,
-0.007038116455078125,
0.03973388671875,
-0.043548583984375,
0.0009379386901855469,
0.002777099609375,
0.03033447265625,
0.006473541259765625,
-0.064453125,
-0.024169921875,
-0.002307891845703125,
-0.034210205078125,
-0.05023193359375,
0.039794921875,
0.007965087890625,
0.04779052734375,
0.061004638671875,
-0.01352691650390625,
0.07366943359375,
-0.018341064453125,
0.060028076171875,
0.03363037109375,
-0.04766845703125,
0.035247802734375,
-0.0238494873046875,
0.0197906494140625,
0.0478515625,
0.032012939453125,
-0.0281524658203125,
-0.00157928466796875,
-0.08612060546875,
-0.062225341796875,
0.07452392578125,
0.0267486572265625,
0.0018444061279296875,
0.0111541748046875,
0.04229736328125,
-0.015869140625,
0.01464080810546875,
-0.060577392578125,
-0.05413818359375,
-0.023895263671875,
-0.0094451904296875,
-0.0089874267578125,
-0.0189971923828125,
-0.01058197021484375,
-0.04583740234375,
0.0703125,
0.0026149749755859375,
0.02490234375,
0.0140533447265625,
0.019195556640625,
-0.0178985595703125,
-0.004444122314453125,
0.0355224609375,
0.055206298828125,
-0.0426025390625,
-0.01215362548828125,
0.01282501220703125,
-0.0306854248046875,
0.00487518310546875,
0.0102996826171875,
-0.016845703125,
0.0036144256591796875,
0.034698486328125,
0.07470703125,
0.012969970703125,
-0.00787353515625,
0.0419921875,
0.0035190582275390625,
-0.043548583984375,
-0.0391845703125,
0.007732391357421875,
0.00293731689453125,
0.020965576171875,
0.0232086181640625,
0.03204345703125,
0.007747650146484375,
-0.0182037353515625,
0.0174102783203125,
0.02093505859375,
-0.047149658203125,
-0.012603759765625,
0.0723876953125,
-0.005657196044921875,
-0.024261474609375,
0.053375244140625,
-0.01027679443359375,
-0.02349853515625,
0.06878662109375,
0.03936767578125,
0.053253173828125,
-0.019805908203125,
0.004680633544921875,
0.06890869140625,
0.0175323486328125,
-0.00977325439453125,
0.04156494140625,
0.006694793701171875,
-0.027069091796875,
-0.0081329345703125,
-0.056182861328125,
-0.01163482666015625,
0.048370361328125,
-0.09100341796875,
0.036407470703125,
-0.03485107421875,
-0.043060302734375,
0.01422119140625,
0.00695037841796875,
-0.07904052734375,
0.048431396484375,
0.0009694099426269531,
0.08416748046875,
-0.07073974609375,
0.046722412109375,
0.04913330078125,
-0.039154052734375,
-0.084716796875,
-0.0198211669921875,
-0.0040283203125,
-0.06353759765625,
0.047943115234375,
0.00936126708984375,
0.0229644775390625,
0.01117706298828125,
-0.03997802734375,
-0.07281494140625,
0.08795166015625,
0.010894775390625,
-0.050689697265625,
0.01605224609375,
0.020904541015625,
0.038970947265625,
-0.0014667510986328125,
0.0321044921875,
0.0239410400390625,
0.0263519287109375,
0.017974853515625,
-0.06890869140625,
0.0013856887817382812,
-0.02935791015625,
0.00421905517578125,
0.01361083984375,
-0.06353759765625,
0.07574462890625,
-0.0126953125,
0.0223846435546875,
0.0018663406372070312,
0.050201416015625,
0.01044464111328125,
0.0243682861328125,
0.0318603515625,
0.0733642578125,
0.046295166015625,
-0.0121307373046875,
0.07275390625,
-0.046142578125,
0.062255859375,
0.07159423828125,
0.008056640625,
0.048675537109375,
0.024017333984375,
-0.0275115966796875,
0.0244140625,
0.07415771484375,
-0.0223236083984375,
0.029632568359375,
0.00494384765625,
-0.004764556884765625,
-0.036407470703125,
0.01549530029296875,
-0.052764892578125,
0.02154541015625,
-0.00004971027374267578,
-0.042755126953125,
-0.0206451416015625,
-0.01299285888671875,
0.000316619873046875,
-0.0173187255859375,
-0.0283966064453125,
0.04095458984375,
-0.0179901123046875,
-0.0162506103515625,
0.05767822265625,
0.012542724609375,
0.0231475830078125,
-0.04522705078125,
-0.002071380615234375,
-0.005702972412109375,
0.02996826171875,
-0.03936767578125,
-0.04852294921875,
0.014556884765625,
-0.0004925727844238281,
-0.0209808349609375,
0.0098724365234375,
0.031280517578125,
-0.00740814208984375,
-0.0640869140625,
0.012603759765625,
0.01708984375,
0.01367950439453125,
0.00402069091796875,
-0.06903076171875,
-0.008026123046875,
0.00247955322265625,
-0.04718017578125,
0.00656890869140625,
0.0233154296875,
0.00159454345703125,
0.0428466796875,
0.054107666015625,
-0.0043792724609375,
0.006488800048828125,
0.0113067626953125,
0.07794189453125,
-0.051177978515625,
-0.051666259765625,
-0.051666259765625,
0.0296783447265625,
-0.0146942138671875,
-0.057586669921875,
0.04974365234375,
0.08111572265625,
0.058135986328125,
-0.00499725341796875,
0.043731689453125,
-0.0030269622802734375,
0.03057861328125,
-0.033416748046875,
0.048248291015625,
-0.055816650390625,
-0.015899658203125,
-0.0206756591796875,
-0.062744140625,
-0.01241302490234375,
0.053436279296875,
-0.02386474609375,
0.016082763671875,
0.032501220703125,
0.05902099609375,
0.0006718635559082031,
0.00656890869140625,
0.00832366943359375,
0.0017871856689453125,
0.00937652587890625,
0.0298614501953125,
0.0288848876953125,
-0.05975341796875,
0.041748046875,
-0.050140380859375,
-0.00838470458984375,
-0.006717681884765625,
-0.043975830078125,
-0.06695556640625,
-0.027069091796875,
-0.0406494140625,
-0.03668212890625,
-0.004734039306640625,
0.075927734375,
0.064208984375,
-0.05279541015625,
-0.021331787109375,
0.0019855499267578125,
-0.026336669921875,
-0.0322265625,
-0.0165252685546875,
0.049102783203125,
-0.00746917724609375,
-0.0484619140625,
-0.005157470703125,
-0.0154876708984375,
0.0219573974609375,
-0.00864410400390625,
-0.017852783203125,
-0.0135498046875,
-0.014068603515625,
0.0153350830078125,
0.004566192626953125,
-0.032257080078125,
-0.018218994140625,
-0.0128326416015625,
0.0009288787841796875,
0.0200653076171875,
0.0167999267578125,
-0.032806396484375,
0.023468017578125,
0.0198822021484375,
0.018402099609375,
0.06390380859375,
0.004970550537109375,
0.00151824951171875,
-0.04913330078125,
0.027252197265625,
0.00399017333984375,
0.025787353515625,
0.00827789306640625,
-0.032501220703125,
0.033843994140625,
0.040496826171875,
-0.04296875,
-0.0616455078125,
-0.02142333984375,
-0.0845947265625,
0.0013151168823242188,
0.0869140625,
0.00518798828125,
-0.03582763671875,
0.01910400390625,
-0.01352691650390625,
0.020751953125,
-0.02569580078125,
0.03643798828125,
0.05413818359375,
-0.01605224609375,
0.0095062255859375,
-0.0513916015625,
0.039886474609375,
0.009613037109375,
-0.038604736328125,
-0.0180206298828125,
0.0240631103515625,
0.047943115234375,
0.004894256591796875,
0.03271484375,
-0.01477813720703125,
0.0220947265625,
0.01751708984375,
0.026336669921875,
-0.02947998046875,
-0.01326751708984375,
-0.0257415771484375,
0.01233673095703125,
0.00174713134765625,
-0.036895751953125
]
] |
anders0204/SpaceInvaders-v3 | 2023-09-27T12:41:09.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | anders0204 | null | null | anders0204/SpaceInvaders-v3 | 0 | 2 | stable-baselines3 | 2023-09-27T12:40:42 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 680.50 +/- 207.45
name: mean_reward
verified: false
---
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
SB3: https://github.com/DLR-RM/stable-baselines3<br/>
SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Install the RL Zoo (with SB3 and SB3-Contrib):
```bash
pip install rl_zoo3
```
```
# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga anders0204 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
```
python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga anders0204 -f logs/
python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
```
## Training (with the RL Zoo)
```
python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga anders0204
```
## Hyperparameters
```python
OrderedDict([('batch_size', 64),
('env_wrapper',
['stable_baselines3.common.atari_wrappers.AtariWrapper']),
('exploration_fraction', 0.025),
('frame_stack', 4),
('n_timesteps', 1000000.0),
('normalize', False),
('optimize_memory_usage', False),
('policy', 'CnnPolicy')])
```
# Environment Arguments
```python
{'render_mode': 'rgb_array'}
```
| 2,486 | [
[
-0.043243408203125,
-0.0391845703125,
0.02099609375,
0.0248260498046875,
-0.014312744140625,
-0.0202484130859375,
0.01335906982421875,
-0.0130767822265625,
0.0138702392578125,
0.02459716796875,
-0.0703125,
-0.03424072265625,
-0.0230255126953125,
-0.002532958984375,
-0.0026702880859375,
0.0748291015625,
-0.0029754638671875,
0.0109710693359375,
-0.0181121826171875,
-0.0172271728515625,
-0.024444580078125,
-0.023895263671875,
-0.0501708984375,
-0.031097412109375,
0.0092315673828125,
0.00835418701171875,
0.06573486328125,
0.07275390625,
0.04058837890625,
0.028961181640625,
-0.00792694091796875,
-0.0025844573974609375,
-0.02972412109375,
0.0004818439483642578,
0.004974365234375,
-0.018096923828125,
-0.0287017822265625,
-0.012359619140625,
0.05291748046875,
0.0022830963134765625,
-0.0197296142578125,
0.0161590576171875,
-0.02227783203125,
0.0285491943359375,
-0.041015625,
0.03326416015625,
-0.0084991455078125,
0.032867431640625,
0.00313568115234375,
-0.01029205322265625,
0.00325775146484375,
-0.005634307861328125,
-0.003559112548828125,
-0.08917236328125,
0.01294708251953125,
0.003238677978515625,
0.1025390625,
0.040557861328125,
-0.0212249755859375,
0.01513671875,
-0.04547119140625,
0.050811767578125,
-0.0699462890625,
0.038909912109375,
0.0180511474609375,
0.03192138671875,
-0.0167083740234375,
-0.06817626953125,
-0.03350830078125,
-0.0162811279296875,
0.005573272705078125,
0.0218963623046875,
-0.00998687744140625,
-0.0009531974792480469,
0.05291748046875,
0.000020682811737060547,
-0.04522705078125,
0.007244110107421875,
-0.03564453125,
-0.0166168212890625,
0.0288543701171875,
0.043243408203125,
0.00830841064453125,
-0.01263427734375,
-0.038482666015625,
-0.04205322265625,
-0.0262298583984375,
0.031494140625,
0.01090240478515625,
0.0098114013671875,
-0.0240936279296875,
0.041290283203125,
-0.036895751953125,
0.03546142578125,
0.0103302001953125,
-0.01396942138671875,
0.0246734619140625,
-0.022918701171875,
-0.01898193359375,
-0.0305023193359375,
0.0648193359375,
0.049591064453125,
-0.01416778564453125,
0.0206756591796875,
-0.027130126953125,
-0.01837158203125,
0.0101165771484375,
-0.066162109375,
-0.0234527587890625,
0.041046142578125,
-0.0242462158203125,
-0.0018491744995117188,
-0.004238128662109375,
-0.054656982421875,
-0.01032257080078125,
-0.006256103515625,
0.0311126708984375,
-0.041290283203125,
-0.0134735107421875,
0.0008111000061035156,
-0.0333251953125,
0.04205322265625,
0.0220947265625,
-0.05657958984375,
0.031829833984375,
0.0360107421875,
0.057861328125,
0.0061798095703125,
-0.050048828125,
-0.03399658203125,
0.0167083740234375,
-0.029937744140625,
0.048492431640625,
0.0032958984375,
-0.020416259765625,
0.003246307373046875,
0.01189422607421875,
0.0007405281066894531,
-0.03814697265625,
0.0223541259765625,
-0.0511474609375,
0.005207061767578125,
-0.007282257080078125,
-0.033416748046875,
-0.022125244140625,
0.037750244140625,
-0.054412841796875,
0.084228515625,
0.01070404052734375,
-0.057586669921875,
0.034912109375,
-0.047393798828125,
-0.001758575439453125,
0.020751953125,
-0.002826690673828125,
-0.06024169921875,
-0.031585693359375,
0.0136260986328125,
0.038909912109375,
0.017730712890625,
0.011688232421875,
-0.037994384765625,
-0.0275421142578125,
0.01090240478515625,
0.0034008026123046875,
0.0675048828125,
0.0091705322265625,
-0.0284271240234375,
0.018829345703125,
-0.05657958984375,
0.015350341796875,
0.0153961181640625,
-0.042755126953125,
0.0041961669921875,
-0.0041961669921875,
0.0171661376953125,
0.027252197265625,
0.0251312255859375,
-0.028717041015625,
0.0081634521484375,
-0.025848388671875,
0.031280517578125,
0.03741455078125,
0.0184478759765625,
0.01554107666015625,
-0.0231170654296875,
0.034881591796875,
0.015350341796875,
0.0256805419921875,
0.0205841064453125,
-0.0226898193359375,
-0.040313720703125,
-0.0229339599609375,
-0.009490966796875,
0.030059814453125,
-0.061248779296875,
0.03515625,
-0.0090484619140625,
-0.03741455078125,
-0.0164947509765625,
-0.00988006591796875,
0.0297698974609375,
0.0133514404296875,
0.03759765625,
0.008941650390625,
-0.046234130859375,
-0.064208984375,
0.009033203125,
-0.0129547119140625,
0.0088348388671875,
0.033447265625,
0.0765380859375,
-0.0299530029296875,
0.056365966796875,
-0.035614013671875,
-0.0182342529296875,
-0.005035400390625,
-0.0213623046875,
0.0220489501953125,
0.0570068359375,
0.049530029296875,
-0.04345703125,
-0.026702880859375,
-0.006282806396484375,
-0.07293701171875,
0.03619384765625,
0.0015583038330078125,
-0.009246826171875,
0.00782012939453125,
0.033721923828125,
-0.07525634765625,
0.031829833984375,
0.018310546875,
-0.0245513916015625,
0.051849365234375,
-0.0293731689453125,
0.00852203369140625,
-0.0662841796875,
0.0116119384765625,
0.00548553466796875,
-0.0172271728515625,
-0.0247955322265625,
0.036468505859375,
0.0044403076171875,
-0.02374267578125,
-0.0662841796875,
0.052734375,
-0.0272064208984375,
-0.011810302734375,
-0.0030517578125,
-0.00640106201171875,
0.0010957717895507812,
0.0504150390625,
0.01474761962890625,
0.04595947265625,
0.06298828125,
-0.06256103515625,
0.04852294921875,
0.0311431884765625,
-0.007556915283203125,
0.00850677490234375,
-0.049102783203125,
-0.00928497314453125,
-0.00254058837890625,
0.037109375,
-0.051910400390625,
-0.0357666015625,
0.044952392578125,
-0.036041259765625,
0.00734710693359375,
-0.0216064453125,
-0.0160369873046875,
-0.0341796875,
-0.0236968994140625,
0.026458740234375,
0.0302276611328125,
-0.043609619140625,
0.026702880859375,
0.0239105224609375,
0.017913818359375,
-0.061309814453125,
-0.034942626953125,
-0.00937652587890625,
-0.031524658203125,
-0.03900146484375,
0.016754150390625,
-0.00928497314453125,
-0.01517486572265625,
0.017303466796875,
-0.007476806640625,
-0.0118255615234375,
0.007709503173828125,
0.01947021484375,
0.0228271484375,
-0.0297088623046875,
-0.035400390625,
-0.0228271484375,
-0.01145172119140625,
0.0279998779296875,
-0.025543212890625,
0.0251617431640625,
-0.02349853515625,
-0.0068511962890625,
-0.04827880859375,
-0.0030651092529296875,
0.047821044921875,
0.0013332366943359375,
0.062042236328125,
0.05682373046875,
-0.042236328125,
-0.0209808349609375,
-0.01324462890625,
-0.01812744140625,
-0.034576416015625,
0.045135498046875,
-0.023712158203125,
-0.039947509765625,
0.054412841796875,
0.0106201171875,
0.0166168212890625,
0.0419921875,
0.023956298828125,
-0.014312744140625,
0.08770751953125,
0.0426025390625,
0.006282806396484375,
0.0401611328125,
-0.064453125,
-0.0253448486328125,
-0.0638427734375,
-0.027618408203125,
-0.0384521484375,
0.00608062744140625,
-0.0310821533203125,
-0.03619384765625,
0.03436279296875,
0.005023956298828125,
-0.054412841796875,
0.03277587890625,
-0.0178375244140625,
0.037811279296875,
0.0259552001953125,
0.0080108642578125,
-0.0164947509765625,
0.00312042236328125,
-0.022674560546875,
-0.0081329345703125,
-0.06561279296875,
-0.0198822021484375,
0.061004638671875,
0.039886474609375,
0.061309814453125,
0.00919342041015625,
0.048553466796875,
0.0123443603515625,
-0.005222320556640625,
-0.045135498046875,
0.040069580078125,
0.012481689453125,
-0.05926513671875,
-0.039520263671875,
-0.02496337890625,
-0.057769775390625,
0.037689208984375,
-0.0194854736328125,
-0.052734375,
0.01386260986328125,
0.007221221923828125,
-0.045745849609375,
0.0196990966796875,
-0.015655517578125,
0.07635498046875,
-0.00891876220703125,
-0.048126220703125,
-0.006832122802734375,
-0.054046630859375,
0.048095703125,
0.016510009765625,
0.006778717041015625,
0.00415802001953125,
-0.01151275634765625,
0.06982421875,
-0.052703857421875,
0.039031982421875,
-0.045013427734375,
0.0263519287109375,
0.03070068359375,
0.00563812255859375,
0.037353515625,
0.039306640625,
0.00603485107421875,
0.00830078125,
0.0164337158203125,
-0.037353515625,
-0.033843994140625,
0.055908203125,
-0.104736328125,
-0.038604736328125,
-0.04931640625,
-0.0302886962890625,
-0.0018367767333984375,
0.0190582275390625,
0.018096923828125,
0.0268402099609375,
-0.01666259765625,
0.0264434814453125,
0.0560302734375,
-0.02008056640625,
0.0361328125,
0.046844482421875,
-0.0164947509765625,
-0.0491943359375,
0.05535888671875,
-0.008697509765625,
-0.00036215782165527344,
0.01352691650390625,
-0.0006990432739257812,
-0.044464111328125,
-0.0340576171875,
-0.051422119140625,
0.01299285888671875,
-0.057708740234375,
-0.023284912109375,
-0.053680419921875,
-0.045745849609375,
-0.033355712890625,
-0.0011606216430664062,
-0.039398193359375,
-0.0188446044921875,
-0.02874755859375,
-0.00568389892578125,
0.0288238525390625,
0.042205810546875,
-0.035247802734375,
0.031585693359375,
-0.05767822265625,
0.0274200439453125,
0.0218505859375,
0.00818634033203125,
-0.0047760009765625,
-0.049774169921875,
-0.04302978515625,
0.00609588623046875,
-0.03363037109375,
-0.044036865234375,
0.05523681640625,
-0.0006389617919921875,
0.0618896484375,
0.032623291015625,
-0.0170135498046875,
0.06781005859375,
-0.0172271728515625,
0.06878662109375,
0.003261566162109375,
-0.050750732421875,
0.0322265625,
-0.04473876953125,
0.0184783935546875,
0.0255126953125,
0.038604736328125,
-0.0263214111328125,
-0.0118255615234375,
-0.05902099609375,
-0.0618896484375,
0.08563232421875,
0.0182647705078125,
-0.01241302490234375,
0.0165557861328125,
0.032745361328125,
-0.0229339599609375,
-0.0023670196533203125,
-0.08203125,
-0.0267333984375,
-0.039794921875,
0.0281829833984375,
-0.0195159912109375,
0.022064208984375,
-0.0232391357421875,
-0.025970458984375,
0.07977294921875,
-0.013092041015625,
0.02374267578125,
0.0245513916015625,
-0.0011196136474609375,
-0.032379150390625,
-0.01873779296875,
0.0457763671875,
0.033416748046875,
-0.04608154296875,
-0.023956298828125,
0.01146697998046875,
-0.0251617431640625,
0.02239990234375,
0.016510009765625,
-0.01001739501953125,
-0.007617950439453125,
0.0287017822265625,
0.069580078125,
0.020294189453125,
-0.0269775390625,
0.04534912109375,
-0.0227508544921875,
-0.0355224609375,
-0.0341796875,
0.0164642333984375,
0.00896453857421875,
0.0330810546875,
0.0101165771484375,
0.0243072509765625,
0.00008004903793334961,
-0.0197906494140625,
0.0119476318359375,
0.0295257568359375,
-0.0362548828125,
-0.01371002197265625,
0.07147216796875,
-0.0011968612670898438,
-0.01421356201171875,
0.06817626953125,
-0.0075225830078125,
-0.0292510986328125,
0.08807373046875,
0.044036865234375,
0.057708740234375,
0.0085601806640625,
0.0200958251953125,
0.05712890625,
0.01033782958984375,
-0.0212554931640625,
0.017608642578125,
0.0024871826171875,
-0.060546875,
-0.01416778564453125,
-0.04290771484375,
-0.03802490234375,
0.035247802734375,
-0.05712890625,
0.0186309814453125,
-0.049102783203125,
-0.0157012939453125,
-0.00847625732421875,
0.028564453125,
-0.057281494140625,
0.0142059326171875,
0.014892578125,
0.08453369140625,
-0.0650634765625,
0.060028076171875,
0.07684326171875,
-0.043182373046875,
-0.0673828125,
-0.005069732666015625,
0.0008172988891601562,
-0.04644775390625,
0.05010986328125,
-0.00519561767578125,
0.0099334716796875,
0.017333984375,
-0.06292724609375,
-0.09075927734375,
0.10284423828125,
-0.00720977783203125,
-0.017333984375,
0.01739501953125,
-0.0027027130126953125,
0.04730224609375,
-0.027069091796875,
0.028289794921875,
0.0200958251953125,
0.04254150390625,
0.006317138671875,
-0.03741455078125,
0.0031280517578125,
-0.02276611328125,
0.004169464111328125,
-0.0091552734375,
-0.07373046875,
0.0877685546875,
-0.0235595703125,
-0.0024356842041015625,
0.0181884765625,
0.068115234375,
0.0628662109375,
0.00836944580078125,
0.032958984375,
0.055999755859375,
0.02850341796875,
0.00653839111328125,
0.0570068359375,
-0.031219482421875,
0.0438232421875,
0.048095703125,
-0.0285797119140625,
0.05181884765625,
0.0179290771484375,
-0.0157623291015625,
0.033966064453125,
0.061492919921875,
-0.0265960693359375,
0.041168212890625,
0.01247406005859375,
0.0015087127685546875,
-0.0211029052734375,
0.0208587646484375,
-0.041412353515625,
0.010498046875,
0.0265350341796875,
0.016143798828125,
-0.0224151611328125,
-0.003650665283203125,
-0.0138092041015625,
-0.025299072265625,
-0.02032470703125,
0.060699462890625,
-0.00769805908203125,
-0.057525634765625,
0.064208984375,
0.00688934326171875,
0.032257080078125,
-0.054046630859375,
-0.01479339599609375,
-0.0267333984375,
0.0297698974609375,
-0.0197906494140625,
-0.054962158203125,
0.0024089813232421875,
-0.01136016845703125,
-0.0034999847412109375,
0.003940582275390625,
0.0421142578125,
-0.00862884521484375,
-0.0119781494140625,
0.033905029296875,
0.035919189453125,
0.0269317626953125,
0.0175323486328125,
-0.08111572265625,
-0.00580596923828125,
-0.00565338134765625,
-0.0384521484375,
0.03778076171875,
0.03363037109375,
-0.0020580291748046875,
0.07025146484375,
0.044830322265625,
-0.0057525634765625,
0.01263427734375,
-0.01788330078125,
0.07684326171875,
-0.065673828125,
-0.04730224609375,
-0.037750244140625,
0.041168212890625,
0.011993408203125,
-0.04302978515625,
0.05572509765625,
0.0675048828125,
0.062164306640625,
-0.033843994140625,
0.048828125,
-0.017303466796875,
-0.0042877197265625,
-0.0369873046875,
0.051849365234375,
-0.0460205078125,
0.00021731853485107422,
-0.01096343994140625,
-0.057769775390625,
-0.0013446807861328125,
0.04876708984375,
0.004734039306640625,
0.0030422210693359375,
0.0501708984375,
0.08001708984375,
-0.021331787109375,
-0.0191192626953125,
0.0265960693359375,
0.027252197265625,
0.0176849365234375,
0.03369140625,
0.08184814453125,
-0.053619384765625,
0.049346923828125,
-0.04144287109375,
-0.00826263427734375,
-0.0131988525390625,
-0.046600341796875,
-0.053131103515625,
-0.023773193359375,
-0.033721923828125,
-0.050140380859375,
0.0149078369140625,
0.0648193359375,
0.07440185546875,
-0.051971435546875,
-0.039764404296875,
-0.0012674331665039062,
0.0038013458251953125,
-0.034637451171875,
-0.02215576171875,
0.0172271728515625,
-0.01204681396484375,
-0.044525146484375,
0.03662109375,
-0.005146026611328125,
0.010162353515625,
-0.02734375,
-0.036865234375,
-0.0239105224609375,
-0.018890380859375,
0.006931304931640625,
0.0469970703125,
-0.04150390625,
-0.01541900634765625,
-0.0169525146484375,
-0.020904541015625,
0.004512786865234375,
0.0208587646484375,
-0.064453125,
-0.00720977783203125,
0.03570556640625,
0.0159149169921875,
0.061767578125,
0.004302978515625,
0.0254364013671875,
-0.03948974609375,
0.01229095458984375,
0.0165863037109375,
0.0305328369140625,
0.007709503173828125,
-0.0277252197265625,
0.030364990234375,
0.02740478515625,
-0.060821533203125,
-0.051666259765625,
-0.01525115966796875,
-0.06890869140625,
-0.0274505615234375,
0.0828857421875,
-0.028839111328125,
-0.044219970703125,
-0.0018415451049804688,
-0.00804901123046875,
0.01299285888671875,
-0.03497314453125,
0.03131103515625,
0.0279693603515625,
-0.0166778564453125,
0.002094268798828125,
-0.050262451171875,
0.05792236328125,
0.005893707275390625,
-0.05316162109375,
-0.01488494873046875,
0.044036865234375,
0.039581298828125,
0.01200103759765625,
0.03936767578125,
0.0014362335205078125,
0.0367431640625,
0.0279998779296875,
0.022430419921875,
-0.01555633544921875,
-0.0302734375,
-0.0465087890625,
0.006717681884765625,
-0.0106964111328125,
-0.0127716064453125
]
] |
Siki-77/my_model | 2023-09-29T02:31:01.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Siki-77 | null | null | Siki-77/my_model | 0 | 2 | transformers | 2023-09-27T12:53:00 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: my_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.93288
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2247
- Accuracy: 0.9329
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2238 | 1.0 | 1563 | 0.2247 | 0.9234 |
| 0.1419 | 2.0 | 3126 | 0.2247 | 0.9329 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,693 | [
[
-0.037200927734375,
-0.040313720703125,
0.012359619140625,
0.0080108642578125,
-0.0301361083984375,
-0.016357421875,
-0.005046844482421875,
-0.005130767822265625,
0.00879669189453125,
0.0243988037109375,
-0.055206298828125,
-0.042938232421875,
-0.06396484375,
-0.01081085205078125,
-0.026031494140625,
0.09393310546875,
0.007221221923828125,
0.03472900390625,
-0.00720977783203125,
-0.0017099380493164062,
-0.0290679931640625,
-0.052459716796875,
-0.044403076171875,
-0.044830322265625,
0.01352691650390625,
0.0246734619140625,
0.0626220703125,
0.07330322265625,
0.0574951171875,
0.01395416259765625,
-0.0272064208984375,
-0.0028858184814453125,
-0.045623779296875,
-0.038238525390625,
-0.01520538330078125,
-0.0213470458984375,
-0.04705810546875,
-0.00007742643356323242,
0.05206298828125,
0.033905029296875,
-0.024169921875,
0.04180908203125,
0.00984954833984375,
0.0457763671875,
-0.04071044921875,
0.025054931640625,
-0.04345703125,
0.01531219482421875,
-0.018829345703125,
-0.020904541015625,
-0.018524169921875,
0.0021800994873046875,
-0.006298065185546875,
-0.02984619140625,
0.040191650390625,
0.006710052490234375,
0.0875244140625,
0.037261962890625,
-0.023651123046875,
0.00696563720703125,
-0.06317138671875,
0.041015625,
-0.056854248046875,
0.0150299072265625,
0.03497314453125,
0.034820556640625,
0.002834320068359375,
-0.04852294921875,
-0.040985107421875,
-0.01374053955078125,
-0.005279541015625,
0.004314422607421875,
-0.0141448974609375,
0.008880615234375,
0.067626953125,
0.04345703125,
-0.033599853515625,
0.0214385986328125,
-0.047637939453125,
-0.0191497802734375,
0.03961181640625,
0.03839111328125,
-0.0295257568359375,
-0.01335906982421875,
-0.0307159423828125,
-0.0200958251953125,
-0.02166748046875,
0.021148681640625,
0.046173095703125,
0.01165771484375,
-0.018646240234375,
0.05548095703125,
-0.0263671875,
0.0501708984375,
0.019927978515625,
-0.0156097412109375,
0.03466796875,
0.0032825469970703125,
-0.024658203125,
0.006008148193359375,
0.054962158203125,
0.0615234375,
0.0243682861328125,
0.016754150390625,
-0.0230560302734375,
-0.004302978515625,
0.022735595703125,
-0.07733154296875,
-0.027313232421875,
0.0120086669921875,
-0.03912353515625,
-0.0411376953125,
0.016815185546875,
-0.033599853515625,
-0.0015430450439453125,
-0.03472900390625,
0.03607177734375,
-0.033477783203125,
-0.01093292236328125,
0.00127410888671875,
-0.00862884521484375,
0.0160980224609375,
0.01184844970703125,
-0.06878662109375,
0.0255279541015625,
0.0249176025390625,
0.047576904296875,
0.01177978515625,
-0.025482177734375,
-0.0182952880859375,
0.006221771240234375,
-0.01393890380859375,
0.026641845703125,
-0.0005984306335449219,
-0.029388427734375,
-0.017364501953125,
0.017242431640625,
-0.0021076202392578125,
-0.041351318359375,
0.0655517578125,
-0.01629638671875,
0.0057220458984375,
-0.0111846923828125,
-0.0384521484375,
-0.0154266357421875,
0.0309295654296875,
-0.053436279296875,
0.08343505859375,
0.01149749755859375,
-0.056671142578125,
0.04315185546875,
-0.0328369140625,
-0.0027923583984375,
-0.01340484619140625,
-0.007373809814453125,
-0.05859375,
0.0090484619140625,
0.01611328125,
0.040924072265625,
-0.0276641845703125,
0.035858154296875,
-0.0305023193359375,
-0.052978515625,
0.004856109619140625,
-0.04779052734375,
0.05316162109375,
0.0158843994140625,
-0.033721923828125,
-0.01009368896484375,
-0.0921630859375,
0.0153045654296875,
0.0194854736328125,
-0.038116455078125,
0.00780487060546875,
-0.024749755859375,
0.0240020751953125,
0.0188446044921875,
0.0167083740234375,
-0.038543701171875,
0.006542205810546875,
-0.0159759521484375,
0.013092041015625,
0.048370361328125,
0.00696563720703125,
-0.0030517578125,
-0.035186767578125,
0.01416015625,
0.035980224609375,
0.0263519287109375,
0.0089263916015625,
-0.020050048828125,
-0.06378173828125,
-0.0176544189453125,
0.0183868408203125,
0.032318115234375,
-0.015228271484375,
0.055877685546875,
-0.01186370849609375,
-0.050537109375,
-0.0242462158203125,
0.00838470458984375,
0.03497314453125,
0.0574951171875,
0.0308685302734375,
-0.0215301513671875,
-0.03619384765625,
-0.09393310546875,
0.0035877227783203125,
-0.00926971435546875,
0.014434814453125,
0.0009198188781738281,
0.04327392578125,
-0.01885986328125,
0.060882568359375,
-0.03900146484375,
-0.0164794921875,
-0.0002448558807373047,
0.0002689361572265625,
0.049163818359375,
0.06304931640625,
0.049835205078125,
-0.0272369384765625,
-0.019866943359375,
-0.01971435546875,
-0.06427001953125,
0.0252685546875,
-0.00553131103515625,
-0.0224151611328125,
-0.019195556640625,
0.0229034423828125,
-0.033172607421875,
0.053955078125,
0.01508331298828125,
-0.017913818359375,
0.05316162109375,
-0.02911376953125,
0.0079345703125,
-0.08404541015625,
0.0127716064453125,
0.0201416015625,
-0.00701904296875,
-0.0138092041015625,
-0.01396942138671875,
0.01428985595703125,
-0.012664794921875,
-0.031219482421875,
0.0313720703125,
-0.01216888427734375,
0.0142059326171875,
-0.01068115234375,
-0.03466796875,
0.0115203857421875,
0.0618896484375,
0.005893707275390625,
0.03485107421875,
0.04595947265625,
-0.04364013671875,
0.033203125,
0.0313720703125,
-0.03399658203125,
0.0465087890625,
-0.06524658203125,
0.00232696533203125,
-0.016998291015625,
-0.00580596923828125,
-0.0538330078125,
-0.0161895751953125,
0.0223388671875,
-0.0225372314453125,
0.03179931640625,
-0.034423828125,
-0.02783203125,
-0.0298004150390625,
-0.0103912353515625,
0.00965118408203125,
0.037261962890625,
-0.04058837890625,
0.012969970703125,
-0.0030727386474609375,
0.018280029296875,
-0.060516357421875,
-0.05914306640625,
-0.0186920166015625,
-0.021728515625,
-0.0285491943359375,
0.0210113525390625,
-0.004520416259765625,
-0.00963592529296875,
-0.0041046142578125,
-0.00797271728515625,
-0.02618408203125,
-0.007080078125,
0.037384033203125,
0.0299224853515625,
-0.00980377197265625,
-0.01058197021484375,
0.01399993896484375,
-0.019317626953125,
0.0189208984375,
0.007732391357421875,
0.031463623046875,
-0.01082611083984375,
-0.0295257568359375,
-0.055206298828125,
0.003772735595703125,
0.05230712890625,
-0.00977325439453125,
0.0712890625,
0.054962158203125,
-0.042816162109375,
0.0088043212890625,
-0.038543701171875,
-0.01233673095703125,
-0.029510498046875,
0.049468994140625,
-0.039337158203125,
-0.00849151611328125,
0.049530029296875,
-0.0007257461547851562,
0.0044403076171875,
0.0745849609375,
0.04248046875,
-0.0128021240234375,
0.08056640625,
0.017425537109375,
0.0004162788391113281,
0.025054931640625,
-0.06951904296875,
-0.01427459716796875,
-0.059722900390625,
-0.032806396484375,
-0.031646728515625,
-0.0246429443359375,
-0.039794921875,
-0.0019207000732421875,
0.0222015380859375,
0.028167724609375,
-0.05316162109375,
0.025482177734375,
-0.0411376953125,
0.034332275390625,
0.05657958984375,
0.034149169921875,
0.01198577880859375,
0.007656097412109375,
-0.01922607421875,
-0.011627197265625,
-0.0460205078125,
-0.043243408203125,
0.0955810546875,
0.034423828125,
0.07586669921875,
-0.005527496337890625,
0.05072021484375,
0.0211639404296875,
0.00496673583984375,
-0.033966064453125,
0.0206756591796875,
0.0033893585205078125,
-0.07470703125,
-0.01265716552734375,
-0.017822265625,
-0.0322265625,
0.01409149169921875,
-0.0325927734375,
-0.044891357421875,
0.02520751953125,
0.023956298828125,
-0.0274810791015625,
0.0295257568359375,
-0.041656494140625,
0.0799560546875,
-0.0296173095703125,
-0.03497314453125,
-0.01459503173828125,
-0.039337158203125,
0.0174560546875,
-0.0021877288818359375,
-0.0201873779296875,
-0.01277923583984375,
0.0267486572265625,
0.05889892578125,
-0.04815673828125,
0.04425048828125,
-0.031219482421875,
0.04022216796875,
0.02874755859375,
-0.00830841064453125,
0.05328369140625,
0.0269775390625,
-0.022918701171875,
0.030029296875,
0.007770538330078125,
-0.032684326171875,
-0.0308837890625,
0.056671142578125,
-0.08056640625,
-0.016571044921875,
-0.05218505859375,
-0.033050537109375,
-0.001804351806640625,
0.01145172119140625,
0.052734375,
0.062042236328125,
-0.01617431640625,
0.0218963623046875,
0.0357666015625,
0.00844573974609375,
0.0268096923828125,
0.0222015380859375,
0.0068817138671875,
-0.038787841796875,
0.045501708984375,
0.005702972412109375,
0.0148773193359375,
0.0015974044799804688,
-0.0032634735107421875,
-0.03973388671875,
-0.05096435546875,
-0.056915283203125,
0.015869140625,
-0.06805419921875,
-0.0171966552734375,
-0.027923583984375,
-0.036376953125,
-0.01776123046875,
0.0097808837890625,
-0.035614013671875,
-0.0305023193359375,
-0.040863037109375,
-0.030548095703125,
0.0274505615234375,
0.035186767578125,
0.004238128662109375,
0.049530029296875,
-0.048492431640625,
-0.004459381103515625,
0.002643585205078125,
0.032684326171875,
-0.0057525634765625,
-0.07171630859375,
-0.04327392578125,
0.0096893310546875,
-0.038238525390625,
-0.04498291015625,
0.030792236328125,
0.0164337158203125,
0.057037353515625,
0.03729248046875,
-0.006618499755859375,
0.07501220703125,
-0.0248870849609375,
0.04364013671875,
0.021270751953125,
-0.044708251953125,
0.03338623046875,
-0.0137786865234375,
0.016937255859375,
0.06353759765625,
0.041656494140625,
0.0019779205322265625,
-0.0003993511199951172,
-0.078369140625,
-0.0462646484375,
0.071533203125,
0.0267181396484375,
0.0030841827392578125,
0.0138397216796875,
0.03021240234375,
-0.0027675628662109375,
0.0268096923828125,
-0.0626220703125,
-0.042633056640625,
-0.022216796875,
-0.007144927978515625,
-0.0154266357421875,
-0.0288848876953125,
-0.0156097412109375,
-0.0465087890625,
0.076416015625,
0.0018911361694335938,
0.0164337158203125,
0.006763458251953125,
-0.005542755126953125,
-0.01094818115234375,
-0.0050506591796875,
0.0325927734375,
0.059844970703125,
-0.066162109375,
-0.00677490234375,
0.0157470703125,
-0.03314208984375,
0.006839752197265625,
0.0210113525390625,
0.0020847320556640625,
0.01506805419921875,
0.0228271484375,
0.08135986328125,
-0.0032291412353515625,
-0.02227783203125,
0.030731201171875,
-0.00771331787109375,
-0.015594482421875,
-0.041717529296875,
0.008270263671875,
-0.015716552734375,
0.017578125,
0.024993896484375,
0.0372314453125,
0.00916290283203125,
-0.017974853515625,
0.0173187255859375,
0.01187896728515625,
-0.042694091796875,
-0.00917816162109375,
0.06573486328125,
-0.0027751922607421875,
-0.0162353515625,
0.06793212890625,
-0.0096435546875,
-0.0082855224609375,
0.060577392578125,
0.0301361083984375,
0.0609130859375,
-0.00034689903259277344,
-0.014312744140625,
0.0693359375,
0.0190582275390625,
-0.00991058349609375,
0.0192718505859375,
0.01399993896484375,
-0.03765869140625,
-0.01125335693359375,
-0.06658935546875,
-0.0213775634765625,
0.032470703125,
-0.08746337890625,
0.0450439453125,
-0.04864501953125,
-0.04052734375,
0.0240325927734375,
-0.0005559921264648438,
-0.07318115234375,
0.046295166015625,
0.00588226318359375,
0.07342529296875,
-0.07086181640625,
0.06878662109375,
0.0394287109375,
-0.045013427734375,
-0.06756591796875,
-0.023895263671875,
-0.01244354248046875,
-0.059814453125,
0.0478515625,
0.0117645263671875,
0.0207061767578125,
0.01136016845703125,
-0.02984619140625,
-0.06329345703125,
0.0850830078125,
0.033721923828125,
-0.06304931640625,
-0.0012826919555664062,
0.0169525146484375,
0.041717529296875,
-0.0143890380859375,
0.0582275390625,
0.026092529296875,
0.01055908203125,
0.0191192626953125,
-0.072021484375,
-0.016754150390625,
-0.0271453857421875,
0.007598876953125,
0.00989532470703125,
-0.042877197265625,
0.08062744140625,
-0.01068878173828125,
0.0281982421875,
0.0026187896728515625,
0.03662109375,
0.019775390625,
0.0227203369140625,
0.033416748046875,
0.06744384765625,
0.03656005859375,
-0.01551055908203125,
0.072509765625,
-0.039581298828125,
0.056365966796875,
0.08343505859375,
0.005710601806640625,
0.0309600830078125,
0.030792236328125,
-0.0244140625,
0.028717041015625,
0.06500244140625,
-0.0260772705078125,
0.042633056640625,
0.0124359130859375,
0.00720977783203125,
-0.01983642578125,
0.01436614990234375,
-0.043914794921875,
0.0301361083984375,
0.007198333740234375,
-0.05535888671875,
-0.0228424072265625,
-0.01073455810546875,
-0.00466156005859375,
-0.01422882080078125,
-0.0266876220703125,
0.037109375,
-0.020843505859375,
-0.031951904296875,
0.07318115234375,
0.01152801513671875,
0.0274505615234375,
-0.045257568359375,
-0.014801025390625,
-0.006542205810546875,
0.037872314453125,
-0.0245819091796875,
-0.045654296875,
0.0218963623046875,
0.0011796951293945312,
-0.036956787109375,
0.01374053955078125,
0.0165863037109375,
-0.0241851806640625,
-0.06695556640625,
0.000766754150390625,
0.0203094482421875,
0.0245361328125,
-0.01120758056640625,
-0.07916259765625,
-0.0007739067077636719,
0.0041351318359375,
-0.020965576171875,
0.0094146728515625,
0.01416015625,
-0.003997802734375,
0.035369873046875,
0.049163818359375,
-0.00637054443359375,
0.01105499267578125,
0.006870269775390625,
0.0718994140625,
-0.047454833984375,
-0.037353515625,
-0.06756591796875,
0.051055908203125,
-0.0219879150390625,
-0.059539794921875,
0.0460205078125,
0.08050537109375,
0.06671142578125,
-0.02325439453125,
0.034698486328125,
-0.00513458251953125,
0.0316162109375,
-0.03741455078125,
0.044403076171875,
-0.03302001953125,
0.005466461181640625,
-0.02593994140625,
-0.07879638671875,
0.006359100341796875,
0.047607421875,
-0.0146942138671875,
0.006626129150390625,
0.037322998046875,
0.06414794921875,
-0.01490020751953125,
-0.01169586181640625,
0.0219573974609375,
-0.0019969940185546875,
0.01593017578125,
0.0305023193359375,
0.042205810546875,
-0.0667724609375,
0.0292205810546875,
-0.06268310546875,
-0.0212249755859375,
-0.0132904052734375,
-0.052398681640625,
-0.06842041015625,
-0.031341552734375,
-0.03533935546875,
-0.0399169921875,
-0.0010929107666015625,
0.07861328125,
0.06494140625,
-0.05950927734375,
-0.029296875,
0.0127716064453125,
-0.03045654296875,
-0.025909423828125,
-0.0144500732421875,
0.030303955078125,
0.00763702392578125,
-0.0703125,
0.0015363693237304688,
-0.0171661376953125,
0.021392822265625,
-0.0168609619140625,
-0.017059326171875,
-0.0225677490234375,
-0.0260162353515625,
0.006259918212890625,
-0.0027065277099609375,
-0.032806396484375,
-0.01453399658203125,
-0.0167083740234375,
-0.00714111328125,
0.0149688720703125,
0.0198974609375,
-0.037109375,
0.046905517578125,
0.01204681396484375,
0.01393890380859375,
0.07061767578125,
0.01038360595703125,
0.01702880859375,
-0.054779052734375,
0.03802490234375,
0.020599365234375,
0.04241943359375,
0.01337432861328125,
-0.039337158203125,
0.040618896484375,
0.0271453857421875,
-0.039794921875,
-0.066162109375,
-0.0233154296875,
-0.08282470703125,
0.0226593017578125,
0.07080078125,
0.00382232666015625,
-0.0233001708984375,
0.0234832763671875,
-0.0244140625,
0.025634765625,
-0.0257720947265625,
0.035614013671875,
0.054718017578125,
-0.008819580078125,
0.005279541015625,
-0.034576416015625,
0.031585693359375,
0.0164794921875,
-0.0303802490234375,
-0.0192718505859375,
0.032501220703125,
0.039459228515625,
0.00702667236328125,
0.022979736328125,
-0.01422882080078125,
0.0150146484375,
0.01154327392578125,
0.0244140625,
-0.0430908203125,
-0.0228424072265625,
-0.0296630859375,
-0.004673004150390625,
0.0200653076171875,
-0.0408935546875
]
] |
vagmi/squeal | 2023-09-27T22:52:08.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:b-mc2/sql-create-context",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | vagmi | null | null | vagmi/squeal | 0 | 2 | transformers | 2023-09-27T15:57:37 | ---
license: apache-2.0
datasets:
- b-mc2/sql-create-context
language:
- en
library_name: transformers
---
# Generate SQL from text - Squeal
Please use the code below as an example for how to use this model.
```python
import torch
from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
def load_model(model_name):
# Load tokenizer and model with QLoRA configuration
compute_dtype = getattr(torch, 'float16')
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_quant_type='nf4',
bnb_4bit_compute_dtype=compute_dtype,
bnb_4bit_use_double_quant=False,
)
model = AutoModelForCausalLM.from_pretrained(
model_name,
device_map={"": 0},
quantization_config=bnb_config
)
# Load Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = "right"
return model, tokenizer
model, tokenizer = load_model('vagmi/squeal')
prompt = "<s>[INST] Output SQL for the given table structure \n \
CREATE TABLE votes (contestant_number VARCHAR, num_votes int); \
CREATE TABLE contestants (contestant_number VARCHAR, contestant_name VARCHAR); \
What is the contestant number and name of the contestant who got least votes?[/INST]"
pipe = pipeline(task="text-generation",
model=model,
tokenizer=tokenizer,
max_length=200,
device_map='auto', )
result = pipe(prompt)
print(result[0]['generated_text'][len(prompt):-1])
```
## How I built it?
Watch me build this model.
https://www.youtube.com/watch?v=PNFhAfxR_d8
Here is the notebook I used to train this model.
https://colab.research.google.com/drive/1jYX8AlRMTY7F_dH3hCFM4ljg5qEmCoUe#scrollTo=IUILKaGWhBxS
| 1,859 | [
[
-0.0032138824462890625,
-0.05426025390625,
0.026519775390625,
0.0159759521484375,
-0.0439453125,
-0.01195526123046875,
0.0160980224609375,
0.005756378173828125,
0.016448974609375,
0.040313720703125,
-0.036773681640625,
-0.0322265625,
-0.021636962890625,
-0.00478363037109375,
-0.0452880859375,
0.08697509765625,
0.03411865234375,
0.0028133392333984375,
-0.002105712890625,
0.0163726806640625,
-0.034332275390625,
-0.05731201171875,
-0.03668212890625,
0.00156402587890625,
0.00882720947265625,
0.02142333984375,
0.0404052734375,
0.0207672119140625,
0.0023670196533203125,
0.033782958984375,
0.0074920654296875,
0.010223388671875,
-0.0307464599609375,
0.004367828369140625,
0.0099639892578125,
-0.037933349609375,
-0.0310211181640625,
-0.0065460205078125,
0.0523681640625,
0.01157379150390625,
-0.0202484130859375,
0.01041412353515625,
0.00203704833984375,
0.0166778564453125,
-0.033599853515625,
0.00797271728515625,
-0.07049560546875,
-0.005054473876953125,
-0.0160980224609375,
-0.0159149169921875,
-0.0260162353515625,
-0.05035400390625,
-0.0118255615234375,
-0.03692626953125,
0.03424072265625,
0.0222625732421875,
0.08355712890625,
0.0179290771484375,
-0.052032470703125,
-0.03411865234375,
-0.051300048828125,
0.05255126953125,
-0.072509765625,
0.004589080810546875,
0.00495147705078125,
0.01007080078125,
-0.0238037109375,
-0.08489990234375,
-0.0640869140625,
-0.01531219482421875,
-0.001842498779296875,
0.0018873214721679688,
-0.003082275390625,
0.00934600830078125,
0.0204620361328125,
0.02294921875,
-0.0577392578125,
-0.0193939208984375,
-0.042633056640625,
-0.027099609375,
0.050811767578125,
0.04046630859375,
0.01055908203125,
-0.035858154296875,
-0.0408935546875,
-0.01317596435546875,
-0.031280517578125,
-0.01432037353515625,
0.029510498046875,
0.03057861328125,
-0.0028438568115234375,
0.054229736328125,
-0.01171875,
0.05926513671875,
0.01384735107421875,
-0.0014400482177734375,
0.0135498046875,
-0.031829833984375,
-0.031036376953125,
0.0090484619140625,
0.09307861328125,
0.01297760009765625,
0.009185791015625,
0.0172882080078125,
-0.018402099609375,
0.01126861572265625,
0.014495849609375,
-0.095458984375,
-0.039947509765625,
0.03167724609375,
-0.02618408203125,
-0.047332763671875,
0.00394439697265625,
-0.05255126953125,
-0.0228271484375,
-0.0054931640625,
0.059173583984375,
-0.033966064453125,
-0.029815673828125,
-0.0012645721435546875,
-0.004680633544921875,
0.0094146728515625,
-0.0130615234375,
-0.07342529296875,
0.017486572265625,
0.0270233154296875,
0.052032470703125,
0.0070648193359375,
-0.01357269287109375,
-0.03277587890625,
-0.01358795166015625,
-0.021392822265625,
0.0277252197265625,
-0.0011157989501953125,
-0.03472900390625,
0.004093170166015625,
-0.0090789794921875,
-0.024688720703125,
-0.04656982421875,
0.036163330078125,
-0.0257415771484375,
0.0452880859375,
0.00612640380859375,
-0.05792236328125,
-0.0008592605590820312,
-0.0196380615234375,
-0.037811279296875,
0.0733642578125,
0.01776123046875,
-0.056488037109375,
0.022186279296875,
-0.026275634765625,
-0.019439697265625,
0.01200103759765625,
-0.01386260986328125,
-0.06396484375,
0.0136260986328125,
0.004909515380859375,
0.022674560546875,
-0.00565338134765625,
0.032501220703125,
-0.0146636962890625,
-0.0325927734375,
0.03619384765625,
-0.0236358642578125,
0.084228515625,
0.0139312744140625,
-0.0350341796875,
0.031951904296875,
-0.0662841796875,
0.0239410400390625,
0.00972747802734375,
-0.01409149169921875,
0.0139312744140625,
-0.0209808349609375,
0.027618408203125,
0.0159149169921875,
0.01270294189453125,
-0.03472900390625,
0.00792694091796875,
-0.05645751953125,
0.043548583984375,
0.033111572265625,
0.0280303955078125,
0.01560211181640625,
-0.01387786865234375,
0.037689208984375,
0.01386260986328125,
-0.007793426513671875,
0.009796142578125,
-0.0295562744140625,
-0.062103271484375,
-0.007541656494140625,
0.0369873046875,
0.033447265625,
-0.065185546875,
0.0308380126953125,
0.0038661956787109375,
-0.04925537109375,
-0.03411865234375,
-0.019683837890625,
0.0120391845703125,
0.0394287109375,
0.00945281982421875,
-0.007198333740234375,
-0.06060791015625,
-0.048095703125,
-0.0219268798828125,
-0.028533935546875,
-0.00882720947265625,
0.0070037841796875,
0.04473876953125,
0.0117340087890625,
0.0679931640625,
-0.05859375,
-0.0362548828125,
-0.008880615234375,
0.01445770263671875,
0.0384521484375,
0.06011962890625,
0.03692626953125,
-0.040496826171875,
-0.0283050537109375,
-0.0210723876953125,
-0.0386962890625,
0.0007805824279785156,
-0.032623291015625,
-0.020050048828125,
0.02325439453125,
0.01367950439453125,
-0.0797119140625,
0.036224365234375,
0.018890380859375,
-0.05621337890625,
0.08612060546875,
-0.00494384765625,
0.0164642333984375,
-0.09417724609375,
0.004116058349609375,
-0.018585205078125,
-0.0189056396484375,
-0.042327880859375,
-0.00015151500701904297,
-0.01220703125,
-0.023101806640625,
-0.033660888671875,
0.0369873046875,
-0.0279998779296875,
0.0024852752685546875,
-0.0268402099609375,
0.01383209228515625,
0.0004987716674804688,
0.025177001953125,
-0.00157928466796875,
0.05938720703125,
0.033782958984375,
-0.0523681640625,
0.041473388671875,
0.02484130859375,
-0.009796142578125,
0.019866943359375,
-0.06561279296875,
0.01000213623046875,
0.027435302734375,
-0.0068206787109375,
-0.0828857421875,
-0.012542724609375,
0.0253143310546875,
-0.06915283203125,
0.005413055419921875,
-0.010009765625,
-0.0308380126953125,
-0.026123046875,
0.004848480224609375,
0.0175018310546875,
0.047271728515625,
-0.027618408203125,
0.0423583984375,
0.0335693359375,
-0.0149993896484375,
-0.02484130859375,
-0.03790283203125,
0.0005588531494140625,
-0.027862548828125,
-0.049224853515625,
0.0433349609375,
0.0035686492919921875,
-0.000029206275939941406,
-0.0211181640625,
0.00690460205078125,
-0.026611328125,
-0.01885986328125,
0.0210723876953125,
0.03765869140625,
-0.0158538818359375,
0.0217742919921875,
0.0098419189453125,
-0.007244110107421875,
0.0316162109375,
-0.0299072265625,
0.05316162109375,
-0.0193939208984375,
-0.00537872314453125,
-0.039337158203125,
0.021697998046875,
0.035247802734375,
-0.01467132568359375,
0.0484619140625,
0.06976318359375,
-0.0350341796875,
-0.0128326416015625,
-0.0185546875,
-0.0482177734375,
-0.036224365234375,
0.045989990234375,
-0.0301361083984375,
-0.03790283203125,
0.033660888671875,
0.00788116455078125,
-0.00321197509765625,
0.050262451171875,
0.06707763671875,
-0.00421905517578125,
0.0814208984375,
0.02569580078125,
0.01806640625,
0.0277862548828125,
-0.03009033203125,
0.019744873046875,
-0.0274505615234375,
-0.01503753662109375,
-0.041778564453125,
0.0173187255859375,
-0.045806884765625,
-0.0259246826171875,
0.0251922607421875,
0.01113128662109375,
-0.028045654296875,
0.0128173828125,
-0.06927490234375,
0.00015664100646972656,
0.048431396484375,
-0.0008955001831054688,
0.004306793212890625,
-0.0020427703857421875,
-0.00730133056640625,
-0.0087127685546875,
-0.060821533203125,
-0.03668212890625,
0.06573486328125,
0.005115509033203125,
0.042449951171875,
-0.0071868896484375,
0.072509765625,
0.008056640625,
-0.00302886962890625,
-0.0469970703125,
0.0404052734375,
0.01055145263671875,
-0.054443359375,
-0.0189971923828125,
-0.040008544921875,
-0.07342529296875,
0.032379150390625,
-0.031402587890625,
-0.044952392578125,
0.0158233642578125,
0.0208740234375,
-0.02947998046875,
0.0192413330078125,
-0.0477294921875,
0.070068359375,
-0.002292633056640625,
-0.03485107421875,
0.00048470497131347656,
-0.03125,
0.04364013671875,
0.017791748046875,
-0.00885772705078125,
0.01593017578125,
0.01271820068359375,
0.0765380859375,
-0.065185546875,
0.061553955078125,
-0.03314208984375,
0.016204833984375,
0.054046630859375,
0.0016765594482421875,
0.02581787109375,
0.004150390625,
-0.0127410888671875,
-0.006134033203125,
0.016021728515625,
-0.0200347900390625,
-0.0236358642578125,
0.050811767578125,
-0.056365966796875,
-0.037994384765625,
-0.044036865234375,
-0.02960205078125,
0.013641357421875,
0.0219268798828125,
0.0439453125,
0.04376220703125,
-0.00630950927734375,
0.00013577938079833984,
0.0243072509765625,
-0.002468109130859375,
0.050048828125,
0.00109100341796875,
-0.0316162109375,
-0.049224853515625,
0.0836181640625,
0.01409912109375,
-0.0005674362182617188,
-0.00205230712890625,
0.0139617919921875,
-0.059417724609375,
-0.033050537109375,
-0.046722412109375,
0.0127716064453125,
-0.0256195068359375,
-0.03057861328125,
-0.051239013671875,
-0.034423828125,
-0.041778564453125,
0.0241851806640625,
-0.0173187255859375,
-0.053070068359375,
-0.0494384765625,
-0.0060272216796875,
0.036590576171875,
0.044036865234375,
0.01380157470703125,
0.04168701171875,
-0.056732177734375,
0.01485443115234375,
0.029632568359375,
-0.0072479248046875,
0.007228851318359375,
-0.046844482421875,
-0.012115478515625,
-0.0022640228271484375,
-0.043243408203125,
-0.0977783203125,
0.07275390625,
0.02008056640625,
0.0215301513671875,
0.009857177734375,
0.031280517578125,
0.052703857421875,
-0.0135650634765625,
0.06561279296875,
0.0117340087890625,
-0.0926513671875,
0.036834716796875,
-0.024139404296875,
0.008087158203125,
0.0186614990234375,
0.01078033447265625,
-0.0101165771484375,
-0.032958984375,
-0.0670166015625,
-0.0758056640625,
0.03778076171875,
0.042449951171875,
0.003856658935546875,
0.004505157470703125,
0.0189056396484375,
-0.006198883056640625,
0.036163330078125,
-0.08123779296875,
-0.0172576904296875,
-0.03558349609375,
-0.0179290771484375,
0.033477783203125,
-0.01502227783203125,
0.0013065338134765625,
-0.020111083984375,
0.07025146484375,
-0.017364501953125,
0.026641845703125,
0.0275726318359375,
-0.006046295166015625,
0.0146484375,
0.01503753662109375,
0.04351806640625,
0.04266357421875,
-0.0156097412109375,
-0.007648468017578125,
0.0190277099609375,
-0.04022216796875,
0.008880615234375,
0.01323699951171875,
-0.019500732421875,
0.031951904296875,
0.0011234283447265625,
0.06842041015625,
-0.0203399658203125,
-0.016571044921875,
0.032379150390625,
-0.0135345458984375,
-0.0148468017578125,
-0.04888916015625,
0.004085540771484375,
0.03106689453125,
0.003322601318359375,
0.03857421875,
-0.00522613525390625,
0.025390625,
-0.02349853515625,
0.02001953125,
0.02874755859375,
-0.0343017578125,
-0.006481170654296875,
0.0794677734375,
0.0138092041015625,
-0.034423828125,
0.0577392578125,
-0.0307769775390625,
-0.042022705078125,
0.055389404296875,
0.055633544921875,
0.054443359375,
-0.0111541748046875,
0.00489044189453125,
0.050048828125,
0.0157623291015625,
0.03326416015625,
0.045928955078125,
0.01477813720703125,
-0.028900146484375,
-0.011962890625,
-0.0526123046875,
-0.006870269775390625,
0.005039215087890625,
-0.0433349609375,
0.030181884765625,
-0.036346435546875,
-0.03533935546875,
0.0009284019470214844,
0.019866943359375,
-0.030242919921875,
0.038482666015625,
-0.00933074951171875,
0.036590576171875,
-0.07843017578125,
0.0697021484375,
0.028564453125,
-0.03790283203125,
-0.0830078125,
-0.0130767822265625,
-0.018157958984375,
-0.03961181640625,
0.0282135009765625,
0.00030612945556640625,
0.0118408203125,
0.0093536376953125,
-0.03277587890625,
-0.048858642578125,
0.078369140625,
0.00972747802734375,
-0.0579833984375,
0.0020904541015625,
0.016754150390625,
0.037872314453125,
-0.041900634765625,
0.0509033203125,
0.04010009765625,
0.01038360595703125,
0.0024623870849609375,
-0.0465087890625,
0.036529541015625,
-0.0100555419921875,
0.009063720703125,
0.003353118896484375,
-0.04071044921875,
0.0955810546875,
-0.03582763671875,
-0.016571044921875,
0.0305023193359375,
0.0782470703125,
0.05584716796875,
0.02392578125,
0.03668212890625,
0.0193328857421875,
0.06060791015625,
-0.01535797119140625,
0.04656982421875,
-0.0286407470703125,
0.0535888671875,
0.0794677734375,
-0.00844573974609375,
0.05963134765625,
0.038482666015625,
-0.01849365234375,
0.052978515625,
0.041961669921875,
-0.01250457763671875,
0.0202178955078125,
0.0374755859375,
-0.0199737548828125,
-0.01493072509765625,
0.011199951171875,
-0.0450439453125,
0.036590576171875,
0.03253173828125,
-0.0301666259765625,
0.0030155181884765625,
-0.0139312744140625,
0.004764556884765625,
-0.011505126953125,
-0.00281524658203125,
0.04754638671875,
0.01160430908203125,
-0.041473388671875,
0.07073974609375,
-0.01039886474609375,
0.05133056640625,
-0.03326416015625,
-0.019256591796875,
0.0023746490478515625,
0.00901031494140625,
-0.0286407470703125,
-0.0295562744140625,
0.0222015380859375,
-0.01401519775390625,
-0.019561767578125,
0.03009033203125,
0.0579833984375,
-0.05560302734375,
-0.05230712890625,
-0.0163421630859375,
0.020538330078125,
0.02996826171875,
-0.021820068359375,
-0.047149658203125,
0.00014066696166992188,
0.0295562744140625,
-0.01434326171875,
0.01250457763671875,
0.0260467529296875,
0.01029205322265625,
0.036834716796875,
0.05902099609375,
0.01409912109375,
0.0230560302734375,
-0.0033512115478515625,
0.060821533203125,
-0.06396484375,
-0.0523681640625,
-0.060150146484375,
0.04840087890625,
-0.0237579345703125,
-0.046112060546875,
0.048065185546875,
0.05853271484375,
0.0251617431640625,
-0.0267486572265625,
0.047332763671875,
-0.0204010009765625,
0.026153564453125,
-0.031494140625,
0.08575439453125,
-0.0277252197265625,
0.011077880859375,
-0.005084991455078125,
-0.06268310546875,
0.010498046875,
0.045135498046875,
0.0031452178955078125,
0.017425537109375,
0.049468994140625,
0.08245849609375,
0.0133056640625,
0.004680633544921875,
0.019561767578125,
0.04046630859375,
0.0205078125,
0.034454345703125,
0.053497314453125,
-0.06512451171875,
0.058380126953125,
-0.021942138671875,
-0.005062103271484375,
-0.0239715576171875,
-0.0501708984375,
-0.05224609375,
-0.050872802734375,
-0.032073974609375,
-0.059326171875,
-0.0080718994140625,
0.05645751953125,
0.0653076171875,
-0.0621337890625,
-0.0307769775390625,
-0.012664794921875,
0.018951416015625,
-0.00228118896484375,
-0.03070068359375,
0.03704833984375,
-0.0181732177734375,
-0.059814453125,
0.007080078125,
-0.0244140625,
0.01183319091796875,
-0.014556884765625,
0.01184844970703125,
-0.01033782958984375,
0.01279449462890625,
0.0291290283203125,
0.0031414031982421875,
-0.042877197265625,
-0.006725311279296875,
-0.0155181884765625,
-0.01776123046875,
0.006748199462890625,
0.036163330078125,
-0.0758056640625,
0.02069091796875,
0.046051025390625,
-0.00449371337890625,
0.064208984375,
-0.0037937164306640625,
0.045989990234375,
-0.05474853515625,
0.005462646484375,
0.039794921875,
0.0265045166015625,
0.016998291015625,
-0.0413818359375,
0.0118560791015625,
0.02392578125,
-0.0633544921875,
-0.0726318359375,
-0.0024242401123046875,
-0.07073974609375,
-0.01222991943359375,
0.06561279296875,
-0.0035247802734375,
-0.0287322998046875,
-0.0036754608154296875,
-0.041717529296875,
0.03509521484375,
-0.035858154296875,
0.059814453125,
0.01064300537109375,
-0.01525115966796875,
0.004604339599609375,
-0.0148162841796875,
0.049957275390625,
0.041015625,
-0.047943115234375,
-0.0028076171875,
0.0286407470703125,
0.03955078125,
0.00746917724609375,
0.05303955078125,
-0.0170440673828125,
0.01416015625,
0.04547119140625,
0.0241241455078125,
-0.0028285980224609375,
-0.004734039306640625,
-0.0237579345703125,
0.033111572265625,
-0.004924774169921875,
-0.045196533203125
]
] |
galdaya/language-identification | 2023-09-27T16:11:18.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | galdaya | null | null | galdaya/language-identification | 0 | 2 | transformers | 2023-09-27T16:11:05 | ---
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
model-index:
- name: language-identification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# language-identification
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,110 | [
[
-0.037017822265625,
-0.047821044921875,
0.008514404296875,
0.010650634765625,
-0.0269927978515625,
-0.01532745361328125,
-0.0205230712890625,
-0.0229339599609375,
0.006465911865234375,
0.034759521484375,
-0.038055419921875,
-0.045654296875,
-0.044464111328125,
0.00992584228515625,
-0.016510009765625,
0.09033203125,
0.0007548332214355469,
0.024322509765625,
-0.00208282470703125,
-0.01261138916015625,
-0.025238037109375,
-0.047607421875,
-0.0675048828125,
-0.050537109375,
0.037322998046875,
0.0239105224609375,
0.054595947265625,
0.07989501953125,
0.02410888671875,
0.0226898193359375,
-0.0163421630859375,
-0.0032863616943359375,
-0.037078857421875,
-0.0278778076171875,
-0.01568603515625,
-0.0418701171875,
-0.0589599609375,
-0.0037059783935546875,
0.040985107421875,
0.03302001953125,
-0.0259857177734375,
0.04486083984375,
-0.008514404296875,
0.0213623046875,
-0.04364013671875,
0.033660888671875,
-0.050323486328125,
0.02484130859375,
-0.0186309814453125,
-0.03466796875,
-0.040679931640625,
-0.00595855712890625,
-0.014404296875,
-0.03985595703125,
0.05474853515625,
0.0034637451171875,
0.096923828125,
0.0143890380859375,
-0.013519287109375,
0.002407073974609375,
-0.0736083984375,
0.0467529296875,
-0.039764404296875,
0.0347900390625,
0.04425048828125,
0.037017822265625,
0.004970550537109375,
-0.042388916015625,
-0.03424072265625,
-0.009490966796875,
0.0028591156005859375,
0.004718780517578125,
-0.00458526611328125,
0.004650115966796875,
0.05706787109375,
0.02508544921875,
-0.045074462890625,
0.01430511474609375,
-0.055938720703125,
-0.024627685546875,
0.039794921875,
0.031707763671875,
-0.00012803077697753906,
-0.004627227783203125,
-0.014678955078125,
-0.00566864013671875,
-0.047393798828125,
-0.007427215576171875,
0.04937744140625,
0.03173828125,
-0.0325927734375,
0.044281005859375,
-0.018951416015625,
0.05523681640625,
0.007343292236328125,
-0.0163421630859375,
0.05352783203125,
0.01971435546875,
-0.0261993408203125,
-0.0096435546875,
0.0770263671875,
0.023681640625,
0.027008056640625,
-0.005523681640625,
-0.0335693359375,
-0.01146697998046875,
0.0206298828125,
-0.055419921875,
-0.02935791015625,
-0.0006422996520996094,
-0.04931640625,
-0.041534423828125,
0.0052490234375,
-0.054473876953125,
0.011260986328125,
-0.02593994140625,
0.0292205810546875,
-0.02301025390625,
-0.024383544921875,
0.0019626617431640625,
-0.0003044605255126953,
0.0240478515625,
-0.0007424354553222656,
-0.08087158203125,
0.032684326171875,
0.0216217041015625,
0.030731201171875,
0.01477813720703125,
-0.032745361328125,
-0.00803375244140625,
0.00604248046875,
-0.0205078125,
0.037841796875,
-0.01146697998046875,
-0.02947998046875,
-0.002704620361328125,
0.02569580078125,
-0.01433563232421875,
-0.053314208984375,
0.072998046875,
-0.037322998046875,
0.03369140625,
0.0008802413940429688,
-0.033233642578125,
-0.0173492431640625,
0.0199737548828125,
-0.064208984375,
0.092041015625,
0.024078369140625,
-0.059722900390625,
0.032928466796875,
-0.052398681640625,
-0.0189361572265625,
0.0230865478515625,
-0.014556884765625,
-0.057037353515625,
-0.0017490386962890625,
-0.007663726806640625,
0.026702880859375,
-0.01509857177734375,
0.0263824462890625,
-0.0218658447265625,
-0.033660888671875,
0.00041031837463378906,
-0.046630859375,
0.0615234375,
0.0259246826171875,
-0.02484130859375,
0.0089569091796875,
-0.10028076171875,
0.0012645721435546875,
0.04327392578125,
-0.0394287109375,
0.0035266876220703125,
-0.01160430908203125,
0.03155517578125,
0.025970458984375,
0.03790283203125,
-0.042327880859375,
-0.0026073455810546875,
-0.02606201171875,
0.00951385498046875,
0.045196533203125,
-0.01160430908203125,
0.00545501708984375,
-0.0232696533203125,
0.03887939453125,
0.00762176513671875,
0.0227508544921875,
0.01434326171875,
-0.02996826171875,
-0.0870361328125,
-0.0212249755859375,
0.0269927978515625,
0.047607421875,
-0.031280517578125,
0.0587158203125,
-0.01314544677734375,
-0.04986572265625,
-0.0264739990234375,
0.00775909423828125,
0.03955078125,
0.034698486328125,
0.04119873046875,
-0.01151275634765625,
-0.048126220703125,
-0.07989501953125,
0.0001862049102783203,
-0.0029201507568359375,
0.00836181640625,
0.0164337158203125,
0.04736328125,
-0.00604248046875,
0.05401611328125,
-0.03607177734375,
-0.0018148422241210938,
-0.03289794921875,
-0.0004107952117919922,
0.0272674560546875,
0.057098388671875,
0.05206298828125,
-0.0254058837890625,
-0.0214996337890625,
-0.005420684814453125,
-0.06304931640625,
0.002979278564453125,
0.0008783340454101562,
-0.01163482666015625,
-0.009765625,
0.023284912109375,
-0.040313720703125,
0.0299224853515625,
0.016326904296875,
-0.015228271484375,
0.03375244140625,
-0.037200927734375,
-0.019744873046875,
-0.07855224609375,
0.0102691650390625,
0.0253753662109375,
-0.00666046142578125,
-0.039031982421875,
0.00910186767578125,
0.01224517822265625,
-0.00933074951171875,
-0.03924560546875,
0.044921875,
-0.019317626953125,
0.01910400390625,
-0.0223388671875,
-0.0272064208984375,
-0.0069427490234375,
0.053192138671875,
0.0123748779296875,
0.04754638671875,
0.050323486328125,
-0.05316162109375,
0.0288848876953125,
0.0316162109375,
-0.0111846923828125,
0.035552978515625,
-0.06561279296875,
0.0177001953125,
-0.0121917724609375,
-0.01145172119140625,
-0.04852294921875,
-0.00775146484375,
0.046173095703125,
-0.0289154052734375,
0.0302276611328125,
-0.023834228515625,
-0.04443359375,
-0.036590576171875,
0.013214111328125,
0.031097412109375,
0.03619384765625,
-0.053253173828125,
0.0426025390625,
0.006343841552734375,
0.0210113525390625,
-0.038177490234375,
-0.04083251953125,
-0.0160064697265625,
-0.019256591796875,
-0.0159454345703125,
0.009552001953125,
-0.0015954971313476562,
0.009796142578125,
-0.0171356201171875,
0.01007843017578125,
-0.02276611328125,
0.003170013427734375,
0.0184173583984375,
0.034698486328125,
-0.0160369873046875,
-0.01360321044921875,
0.0026702880859375,
-0.0274810791015625,
0.023162841796875,
0.0122528076171875,
0.052947998046875,
0.0120849609375,
-0.01390838623046875,
-0.050140380859375,
0.0017757415771484375,
0.0374755859375,
-0.0279083251953125,
0.069580078125,
0.056396484375,
-0.03558349609375,
-0.01528167724609375,
-0.0274200439453125,
-0.0008034706115722656,
-0.03314208984375,
0.04644775390625,
-0.057098388671875,
-0.0268707275390625,
0.0435791015625,
0.00894927978515625,
-0.0003352165222167969,
0.05621337890625,
0.051910400390625,
0.0274810791015625,
0.09625244140625,
0.0311279296875,
-0.00959014892578125,
0.03973388671875,
-0.038818359375,
-0.004100799560546875,
-0.05841064453125,
-0.035400390625,
-0.0528564453125,
-0.0009131431579589844,
-0.05633544921875,
0.007415771484375,
-0.0156402587890625,
-0.0014123916625976562,
-0.044219970703125,
0.049774169921875,
-0.038818359375,
0.038055419921875,
0.05120849609375,
0.022491455078125,
-0.005523681640625,
-0.0013017654418945312,
-0.0171356201171875,
0.0019083023071289062,
-0.055633544921875,
-0.04736328125,
0.0975341796875,
0.04901123046875,
0.05206298828125,
-0.0097503662109375,
0.046783447265625,
-0.006229400634765625,
0.01502227783203125,
-0.037322998046875,
0.04718017578125,
0.004383087158203125,
-0.06414794921875,
0.0090484619140625,
-0.037872314453125,
-0.06622314453125,
0.022430419921875,
-0.033935546875,
-0.043731689453125,
0.0100250244140625,
0.017364501953125,
-0.0142364501953125,
0.024169921875,
-0.047821044921875,
0.08856201171875,
-0.018768310546875,
-0.0103759765625,
-0.003849029541015625,
-0.0256500244140625,
0.00716400146484375,
0.01134490966796875,
0.0013637542724609375,
-0.0097503662109375,
0.0240478515625,
0.06597900390625,
-0.0290069580078125,
0.050567626953125,
-0.03082275390625,
0.01543426513671875,
0.011077880859375,
-0.01169586181640625,
0.03912353515625,
-0.00785064697265625,
-0.007526397705078125,
0.0229034423828125,
-0.009185791015625,
-0.037689208984375,
-0.01873779296875,
0.048828125,
-0.088623046875,
-0.01160430908203125,
-0.0283203125,
-0.030487060546875,
-0.0038623809814453125,
0.0222930908203125,
0.046539306640625,
0.046722412109375,
-0.0263671875,
0.00011330842971801758,
0.04290771484375,
-0.005252838134765625,
0.0233612060546875,
0.042449951171875,
-0.0024204254150390625,
-0.03955078125,
0.082275390625,
-0.00762176513671875,
0.0105133056640625,
0.0138092041015625,
0.0120391845703125,
-0.020721435546875,
-0.049224853515625,
-0.032196044921875,
0.0309600830078125,
-0.053741455078125,
-0.0113983154296875,
-0.040985107421875,
-0.029449462890625,
-0.0160675048828125,
0.020721435546875,
-0.02838134765625,
-0.0189056396484375,
-0.046661376953125,
-0.0266571044921875,
0.01763916015625,
0.0391845703125,
0.0096893310546875,
0.05047607421875,
-0.045745849609375,
0.01544189453125,
0.0048980712890625,
0.0347900390625,
-0.004665374755859375,
-0.06915283203125,
-0.041290283203125,
-0.004955291748046875,
-0.02459716796875,
-0.04815673828125,
0.0426025390625,
0.00638580322265625,
0.0614013671875,
0.03985595703125,
-0.01898193359375,
0.042510986328125,
-0.04498291015625,
0.04168701171875,
0.007808685302734375,
-0.041046142578125,
0.0218658447265625,
-0.0185394287109375,
0.0199737548828125,
0.044677734375,
0.032745361328125,
0.00039124488830566406,
-0.0321044921875,
-0.08001708984375,
-0.059814453125,
0.06756591796875,
0.0160980224609375,
0.022308349609375,
-0.01299285888671875,
0.021453857421875,
-0.0011157989501953125,
0.0193023681640625,
-0.07080078125,
-0.062744140625,
-0.0252838134765625,
-0.02880859375,
0.0009064674377441406,
-0.026580810546875,
-0.01512908935546875,
-0.043304443359375,
0.07659912109375,
0.005889892578125,
0.025604248046875,
-0.0175628662109375,
-0.004459381103515625,
-0.0238037109375,
0.0047607421875,
0.054962158203125,
0.04510498046875,
-0.03668212890625,
-0.0015316009521484375,
0.0181732177734375,
-0.039093017578125,
-0.0023975372314453125,
0.01953125,
-0.025390625,
0.02471923828125,
0.01061248779296875,
0.0888671875,
-0.002353668212890625,
-0.0181427001953125,
0.0232086181640625,
-0.01116943359375,
-0.02899169921875,
-0.041046142578125,
0.0183868408203125,
-0.0170745849609375,
0.003204345703125,
0.01073455810546875,
0.0200347900390625,
0.0004949569702148438,
-0.0010652542114257812,
0.006679534912109375,
0.0216217041015625,
-0.031341552734375,
-0.03582763671875,
0.0701904296875,
0.0152435302734375,
-0.04449462890625,
0.036468505859375,
-0.02032470703125,
-0.0267333984375,
0.053192138671875,
0.05792236328125,
0.072509765625,
-0.019439697265625,
-0.0007534027099609375,
0.06427001953125,
0.015869140625,
-0.00977325439453125,
0.038330078125,
0.00853729248046875,
-0.06732177734375,
-0.01120758056640625,
-0.041656494140625,
-0.01461029052734375,
0.04339599609375,
-0.07452392578125,
0.04052734375,
-0.052093505859375,
-0.019439697265625,
0.0214996337890625,
-0.0035266876220703125,
-0.06719970703125,
0.038604736328125,
0.0160980224609375,
0.0721435546875,
-0.0843505859375,
0.077880859375,
0.04534912109375,
-0.047210693359375,
-0.070068359375,
-0.026641845703125,
-0.0186004638671875,
-0.066162109375,
0.052337646484375,
-0.001445770263671875,
0.016693115234375,
0.01800537109375,
-0.0428466796875,
-0.0458984375,
0.06787109375,
0.0264129638671875,
-0.037261962890625,
0.00545501708984375,
0.019439697265625,
0.04803466796875,
-0.02508544921875,
0.054351806640625,
0.0225982666015625,
0.0172271728515625,
0.0021419525146484375,
-0.07623291015625,
-0.0108795166015625,
-0.0239105224609375,
0.010528564453125,
0.0234832763671875,
-0.0419921875,
0.07373046875,
0.01369476318359375,
0.0078277587890625,
0.01702880859375,
0.050994873046875,
0.0125274658203125,
-0.004119873046875,
0.0271148681640625,
0.0599365234375,
0.043243408203125,
-0.0032253265380859375,
0.051910400390625,
-0.055084228515625,
0.06640625,
0.09161376953125,
-0.00470733642578125,
0.0439453125,
0.0275115966796875,
-0.01885986328125,
0.031890869140625,
0.044403076171875,
-0.037322998046875,
0.0309600830078125,
0.00901031494140625,
-0.0146484375,
-0.02349853515625,
0.011566162109375,
-0.04119873046875,
0.0306396484375,
0.0072021484375,
-0.06488037109375,
-0.0295257568359375,
-0.01404571533203125,
0.003536224365234375,
-0.01033782958984375,
-0.0238800048828125,
0.046234130859375,
-0.0279693603515625,
-0.0211639404296875,
0.0576171875,
0.026702880859375,
0.04022216796875,
-0.043731689453125,
-0.01282501220703125,
-0.0008859634399414062,
0.0267333984375,
-0.0220947265625,
-0.032470703125,
0.012115478515625,
-0.0018987655639648438,
-0.0220947265625,
-0.003414154052734375,
0.029876708984375,
-0.03472900390625,
-0.05377197265625,
0.01189422607421875,
0.0303955078125,
0.01806640625,
0.0171966552734375,
-0.07659912109375,
-0.003505706787109375,
-0.005130767822265625,
-0.01561737060546875,
0.0196685791015625,
0.02703857421875,
0.00635528564453125,
0.04150390625,
0.0460205078125,
0.00860595703125,
0.006969451904296875,
0.02093505859375,
0.05615234375,
-0.048065185546875,
-0.026641845703125,
-0.0653076171875,
0.021026611328125,
-0.003978729248046875,
-0.058013916015625,
0.0555419921875,
0.08074951171875,
0.08001708984375,
-0.0286712646484375,
0.04107666015625,
0.0004589557647705078,
0.04656982421875,
-0.0242767333984375,
0.04656982421875,
-0.0163421630859375,
-0.0005860328674316406,
-0.01409149169921875,
-0.066650390625,
-0.006526947021484375,
0.065673828125,
-0.01202392578125,
0.01178741455078125,
0.039215087890625,
0.06878662109375,
-0.0122222900390625,
-0.01189422607421875,
0.030029296875,
-0.0007305145263671875,
0.00872039794921875,
0.0278472900390625,
0.04473876953125,
-0.054229736328125,
0.03155517578125,
-0.047760009765625,
-0.0034809112548828125,
0.00079345703125,
-0.042388916015625,
-0.08746337890625,
-0.0222320556640625,
-0.039276123046875,
-0.037689208984375,
-0.005298614501953125,
0.087158203125,
0.05419921875,
-0.0709228515625,
-0.042724609375,
-0.006450653076171875,
-0.00849151611328125,
-0.0100250244140625,
-0.0175628662109375,
0.013641357421875,
-0.008575439453125,
-0.064697265625,
0.01007843017578125,
-0.0189971923828125,
0.015533447265625,
-0.020721435546875,
-0.0140228271484375,
-0.00604248046875,
-0.0157470703125,
0.0178375244140625,
0.032684326171875,
-0.03594970703125,
-0.0229949951171875,
-0.0096893310546875,
-0.017181396484375,
0.02978515625,
0.0265960693359375,
-0.0382080078125,
0.02728271484375,
0.0147247314453125,
0.00965118408203125,
0.03436279296875,
-0.0023136138916015625,
0.0322265625,
-0.053741455078125,
0.044830322265625,
0.005950927734375,
0.046295166015625,
0.01385498046875,
-0.026092529296875,
0.020599365234375,
0.03594970703125,
-0.03607177734375,
-0.05340576171875,
-0.000013649463653564453,
-0.06884765625,
0.0211639404296875,
0.09375,
0.00968170166015625,
-0.03875732421875,
-0.00376129150390625,
-0.02606201171875,
0.0256500244140625,
-0.029449462890625,
0.032623291015625,
0.03955078125,
0.005733489990234375,
-0.0153045654296875,
-0.04345703125,
0.0261383056640625,
0.0012340545654296875,
-0.052734375,
-0.0196533203125,
0.024658203125,
0.041229248046875,
0.003936767578125,
0.03582763671875,
-0.00443267822265625,
0.0164947509765625,
-0.001605987548828125,
0.04766845703125,
-0.0237274169921875,
-0.0240020751953125,
-0.02947998046875,
0.005893707275390625,
0.028106689453125,
-0.0440673828125
]
] |
cihan-lyons/family-categorization | 2023-10-05T22:14:14.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cihan-lyons | null | null | cihan-lyons/family-categorization | 0 | 2 | transformers | 2023-09-27T17:49:38 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: family-categorization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# family-categorization
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0164
- Accuracy: 0.9977
- F1: 0.9977
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
| 1,197 | [
[
-0.0305328369140625,
-0.02618408203125,
0.0017938613891601562,
0.005390167236328125,
-0.03472900390625,
-0.0177001953125,
-0.0063629150390625,
-0.0168609619140625,
0.004802703857421875,
0.0211181640625,
-0.052978515625,
-0.042388916015625,
-0.053314208984375,
-0.015777587890625,
-0.01497650146484375,
0.09625244140625,
0.0130157470703125,
0.02996826171875,
0.00445556640625,
0.0016241073608398438,
-0.003955841064453125,
-0.06414794921875,
-0.056243896484375,
-0.053131103515625,
0.044830322265625,
0.0198211669921875,
0.06427001953125,
0.07781982421875,
0.03582763671875,
0.0096893310546875,
-0.036956787109375,
-0.015899658203125,
-0.055419921875,
-0.0230255126953125,
-0.00839996337890625,
-0.02117919921875,
-0.051483154296875,
-0.009765625,
0.042572021484375,
0.047119140625,
-0.0208892822265625,
0.037841796875,
0.007152557373046875,
0.0312042236328125,
-0.044952392578125,
0.0194854736328125,
-0.052490234375,
0.034515380859375,
-0.006374359130859375,
-0.03790283203125,
-0.040679931640625,
-0.0107269287109375,
0.0121612548828125,
-0.03106689453125,
0.053436279296875,
0.004131317138671875,
0.091064453125,
0.0122222900390625,
-0.0220489501953125,
0.0038204193115234375,
-0.0677490234375,
0.038604736328125,
-0.04058837890625,
0.031585693359375,
0.0286407470703125,
0.0222320556640625,
-0.01470947265625,
-0.039764404296875,
-0.0206146240234375,
-0.010223388671875,
0.00772857666015625,
0.00986480712890625,
-0.016143798828125,
0.01488494873046875,
0.037750244140625,
0.039581298828125,
-0.040069580078125,
0.0057830810546875,
-0.04241943359375,
-0.0193023681640625,
0.046600341796875,
0.028167724609375,
-0.0118255615234375,
-0.0070037841796875,
-0.034454345703125,
-0.01183319091796875,
-0.033203125,
0.0086669921875,
0.039703369140625,
0.0281524658203125,
-0.0167999267578125,
0.05303955078125,
-0.0219268798828125,
0.04583740234375,
0.0238037109375,
-0.007785797119140625,
0.04052734375,
0.00966644287109375,
-0.0250396728515625,
0.004840850830078125,
0.04742431640625,
0.037841796875,
0.02642822265625,
-0.0113525390625,
-0.023406982421875,
-0.00872802734375,
0.022796630859375,
-0.060394287109375,
-0.0302581787109375,
-0.006534576416015625,
-0.06298828125,
-0.046905517578125,
-0.0064544677734375,
-0.046417236328125,
-0.006275177001953125,
-0.020416259765625,
0.04638671875,
-0.03558349609375,
-0.00370025634765625,
0.00823211669921875,
-0.01416015625,
0.03240966796875,
0.01470947265625,
-0.07208251953125,
0.023895263671875,
0.0227203369140625,
0.026702880859375,
0.00823211669921875,
-0.0133056640625,
-0.01117706298828125,
0.006389617919921875,
-0.0167694091796875,
0.03173828125,
-0.02532958984375,
-0.03692626953125,
-0.0038661956787109375,
0.01235198974609375,
-0.0148162841796875,
-0.0293121337890625,
0.0675048828125,
-0.03131103515625,
0.01093292236328125,
-0.004138946533203125,
-0.052154541015625,
-0.019683837890625,
0.018463134765625,
-0.040283203125,
0.08331298828125,
0.0227203369140625,
-0.0458984375,
0.05206298828125,
-0.035675048828125,
-0.0205078125,
0.0159149169921875,
0.004642486572265625,
-0.0592041015625,
0.006855010986328125,
-0.0006136894226074219,
0.044036865234375,
0.0014429092407226562,
0.028839111328125,
-0.04730224609375,
-0.038665771484375,
-0.0191192626953125,
-0.037872314453125,
0.05859375,
0.0120086669921875,
-0.032684326171875,
0.01262664794921875,
-0.087646484375,
0.0169219970703125,
0.0257110595703125,
-0.040191650390625,
-0.000690460205078125,
-0.01479339599609375,
0.0279388427734375,
0.02410888671875,
0.0299530029296875,
-0.057403564453125,
0.024139404296875,
-0.017578125,
0.007244110107421875,
0.044647216796875,
0.001537322998046875,
0.005157470703125,
-0.028106689453125,
0.01629638671875,
0.003948211669921875,
0.044097900390625,
0.0283355712890625,
-0.0477294921875,
-0.080810546875,
-0.01343536376953125,
0.0419921875,
0.025970458984375,
-0.030487060546875,
0.07891845703125,
-0.01419830322265625,
-0.057220458984375,
-0.0230712890625,
0.00794219970703125,
0.039306640625,
0.0352783203125,
0.0261688232421875,
-0.0275726318359375,
-0.037811279296875,
-0.08526611328125,
0.025787353515625,
0.00048160552978515625,
0.012908935546875,
0.01119232177734375,
0.05474853515625,
-0.0199432373046875,
0.055084228515625,
-0.033111572265625,
-0.0100250244140625,
-0.01922607421875,
0.0159454345703125,
0.021484375,
0.06329345703125,
0.0482177734375,
-0.026275634765625,
-0.0084381103515625,
-0.006511688232421875,
-0.0533447265625,
0.0306549072265625,
0.007656097412109375,
-0.0267486572265625,
0.002460479736328125,
-0.005962371826171875,
-0.026092529296875,
0.067626953125,
0.01177215576171875,
-0.0252227783203125,
0.0361328125,
-0.03533935546875,
-0.031402587890625,
-0.0655517578125,
0.005237579345703125,
0.0149993896484375,
-0.0006661415100097656,
-0.0301971435546875,
0.009124755859375,
0.0071868896484375,
-0.005207061767578125,
-0.0310516357421875,
0.03668212890625,
-0.00038695335388183594,
-0.006984710693359375,
-0.0110931396484375,
-0.044464111328125,
-0.0067138671875,
0.07073974609375,
0.02099609375,
0.031005859375,
0.042572021484375,
-0.04815673828125,
0.0211181640625,
0.037811279296875,
-0.01430511474609375,
0.0235595703125,
-0.05670166015625,
0.0022907257080078125,
-0.005218505859375,
0.005767822265625,
-0.0513916015625,
-0.0161285400390625,
0.03692626953125,
-0.035675048828125,
0.0291290283203125,
-0.01076507568359375,
-0.051971435546875,
-0.04010009765625,
-0.017669677734375,
0.0125732421875,
0.049285888671875,
-0.06414794921875,
0.04376220703125,
-0.0115966796875,
0.026031494140625,
-0.041107177734375,
-0.037506103515625,
-0.0309295654296875,
0.0004897117614746094,
-0.032318115234375,
0.0131988525390625,
-0.00801849365234375,
0.0242462158203125,
0.010498046875,
-0.01360321044921875,
-0.03521728515625,
-0.0034618377685546875,
0.01739501953125,
0.034698486328125,
-0.0201416015625,
0.0059661865234375,
0.0097808837890625,
-0.00673675537109375,
0.01078033447265625,
0.0096435546875,
0.04168701171875,
-0.00762176513671875,
-0.004154205322265625,
-0.040802001953125,
-0.0026111602783203125,
0.0263671875,
-0.00667572021484375,
0.0655517578125,
0.04888916015625,
-0.042572021484375,
-0.01580810546875,
-0.030364990234375,
-0.00855255126953125,
-0.02960205078125,
0.0230560302734375,
-0.0325927734375,
-0.036163330078125,
0.0443115234375,
0.01419830322265625,
0.007793426513671875,
0.0635986328125,
0.0465087890625,
-0.00717926025390625,
0.08709716796875,
0.034912109375,
0.007358551025390625,
0.02032470703125,
-0.0506591796875,
-0.00782012939453125,
-0.06048583984375,
-0.036529541015625,
-0.033172607421875,
-0.0182037353515625,
-0.05072021484375,
0.00943756103515625,
0.006839752197265625,
0.0054168701171875,
-0.05340576171875,
0.034515380859375,
-0.0546875,
0.020294189453125,
0.0699462890625,
0.0352783203125,
0.004764556884765625,
0.01079559326171875,
-0.0194854736328125,
0.005321502685546875,
-0.07330322265625,
-0.03619384765625,
0.1068115234375,
0.0494384765625,
0.057281494140625,
-0.015045166015625,
0.06414794921875,
0.00511932373046875,
0.033538818359375,
-0.05401611328125,
0.03558349609375,
-0.01922607421875,
-0.08551025390625,
-0.01070404052734375,
-0.0301666259765625,
-0.072509765625,
0.0160064697265625,
-0.043304443359375,
-0.049041748046875,
0.032073974609375,
0.021087646484375,
-0.032623291015625,
0.0350341796875,
-0.04248046875,
0.0784912109375,
-0.0297088623046875,
-0.0248870849609375,
-0.006488800048828125,
-0.04864501953125,
0.025787353515625,
0.0013408660888671875,
-0.031890869140625,
-0.0075836181640625,
0.0216522216796875,
0.06048583984375,
-0.033294677734375,
0.056182861328125,
-0.024261474609375,
0.02880859375,
0.0124359130859375,
-0.010223388671875,
0.02020263671875,
-0.00955963134765625,
-0.01277923583984375,
0.0239410400390625,
0.0011157989501953125,
-0.040618896484375,
-0.0206451416015625,
0.0472412109375,
-0.08837890625,
-0.004550933837890625,
-0.0509033203125,
-0.0379638671875,
-0.0169219970703125,
0.015380859375,
0.045654296875,
0.0506591796875,
-0.0010652542114257812,
0.037139892578125,
0.0567626953125,
-0.005588531494140625,
0.0231781005859375,
0.02386474609375,
-0.0026912689208984375,
-0.035125732421875,
0.06695556640625,
-0.0007023811340332031,
0.00904083251953125,
0.008514404296875,
0.0157012939453125,
-0.0310211181640625,
-0.03790283203125,
-0.03790283203125,
0.02069091796875,
-0.057342529296875,
-0.016998291015625,
-0.0198822021484375,
-0.04638671875,
-0.0095062255859375,
0.0006628036499023438,
-0.0158233642578125,
-0.0193023681640625,
-0.0272064208984375,
-0.018829345703125,
0.0163726806640625,
0.05023193359375,
0.0089569091796875,
0.055389404296875,
-0.052032470703125,
0.004016876220703125,
0.0151519775390625,
0.05419921875,
0.0126953125,
-0.06005859375,
-0.0165252685546875,
-0.00960540771484375,
-0.04339599609375,
-0.036407470703125,
0.021484375,
0.0079803466796875,
0.047210693359375,
0.0355224609375,
-0.006549835205078125,
0.0633544921875,
-0.034881591796875,
0.050140380859375,
0.0187530517578125,
-0.04931640625,
0.0188751220703125,
-0.0281219482421875,
0.006465911865234375,
0.049407958984375,
0.029510498046875,
0.01812744140625,
-0.0045318603515625,
-0.09716796875,
-0.056976318359375,
0.06341552734375,
0.04022216796875,
0.01136016845703125,
0.013092041015625,
0.035400390625,
0.00391387939453125,
0.0236358642578125,
-0.0694580078125,
-0.0467529296875,
-0.024871826171875,
-0.015533447265625,
0.006481170654296875,
-0.0298004150390625,
-0.0063629150390625,
-0.065673828125,
0.08526611328125,
0.0119171142578125,
0.030364990234375,
0.00482177734375,
0.0183258056640625,
-0.0308990478515625,
0.004425048828125,
0.047088623046875,
0.04534912109375,
-0.06915283203125,
-0.0211029052734375,
0.00316619873046875,
-0.021453857421875,
-0.0023365020751953125,
0.0275115966796875,
-0.01123809814453125,
0.0225067138671875,
0.0285491943359375,
0.07464599609375,
0.0239410400390625,
-0.01322174072265625,
0.034881591796875,
-0.005741119384765625,
-0.046661376953125,
-0.0261077880859375,
0.02001953125,
-0.01263427734375,
-0.0045318603515625,
0.0160980224609375,
0.0229949951171875,
0.00788116455078125,
-0.0238037109375,
0.0219879150390625,
0.022186279296875,
-0.02325439453125,
-0.00988006591796875,
0.06134033203125,
0.0225067138671875,
-0.019256591796875,
0.054901123046875,
-0.018035888671875,
-0.021026611328125,
0.057220458984375,
0.033599853515625,
0.0751953125,
-0.01336669921875,
0.005657196044921875,
0.051177978515625,
0.01483154296875,
0.000789642333984375,
0.03485107421875,
-0.0035114288330078125,
-0.0531005859375,
-0.01434326171875,
-0.05859375,
-0.0260467529296875,
0.049835205078125,
-0.08770751953125,
0.021240234375,
-0.05255126953125,
-0.0193023681640625,
0.0280303955078125,
-0.0025539398193359375,
-0.06463623046875,
0.04534912109375,
0.026763916015625,
0.0889892578125,
-0.061737060546875,
0.07330322265625,
0.04736328125,
-0.032318115234375,
-0.07598876953125,
-0.0029296875,
-0.032135009765625,
-0.070068359375,
0.063720703125,
0.004695892333984375,
0.01396942138671875,
0.007129669189453125,
-0.050445556640625,
-0.056121826171875,
0.06268310546875,
0.01262664794921875,
-0.04632568359375,
-0.00804901123046875,
0.002361297607421875,
0.060638427734375,
-0.02447509765625,
0.0256805419921875,
0.023223876953125,
0.01800537109375,
0.0278778076171875,
-0.07379150390625,
-0.02447509765625,
-0.022918701171875,
0.022918701171875,
0.018310546875,
-0.034698486328125,
0.060638427734375,
0.00691986083984375,
0.0249176025390625,
0.0233154296875,
0.03125,
0.01556396484375,
0.0251312255859375,
0.0357666015625,
0.05816650390625,
0.0223541259765625,
-0.01227569580078125,
0.07989501953125,
-0.051025390625,
0.0701904296875,
0.08807373046875,
-0.00876617431640625,
0.051422119140625,
0.0185394287109375,
-0.01264190673828125,
0.016815185546875,
0.0697021484375,
-0.03521728515625,
0.0345458984375,
0.0161285400390625,
0.0006494522094726562,
-0.037384033203125,
0.0113983154296875,
-0.036590576171875,
0.024139404296875,
0.01145172119140625,
-0.06097412109375,
-0.037841796875,
-0.0166473388671875,
-0.00865936279296875,
-0.017974853515625,
-0.044647216796875,
0.037872314453125,
-0.0267333984375,
-0.020843505859375,
0.059417724609375,
0.00669097900390625,
0.0389404296875,
-0.050140380859375,
-0.00982666015625,
0.00762176513671875,
0.0260772705078125,
-0.02435302734375,
-0.05194091796875,
0.01251220703125,
-0.005329132080078125,
-0.022796630859375,
0.0021533966064453125,
0.03741455078125,
-0.026397705078125,
-0.062225341796875,
0.0181732177734375,
0.0245513916015625,
0.01410675048828125,
0.0197296142578125,
-0.079833984375,
-0.00852203369140625,
-0.004734039306640625,
-0.018341064453125,
0.00641632080078125,
0.00670623779296875,
-0.0045623779296875,
0.04541015625,
0.04058837890625,
-0.0082244873046875,
0.0172119140625,
0.0077056884765625,
0.0675048828125,
-0.040679931640625,
-0.026702880859375,
-0.0400390625,
0.025146484375,
-0.0009484291076660156,
-0.06512451171875,
0.044830322265625,
0.07568359375,
0.07647705078125,
-0.0333251953125,
0.03515625,
-0.005710601806640625,
0.034637451171875,
-0.01165771484375,
0.036651611328125,
-0.03857421875,
-0.0221099853515625,
-0.015716552734375,
-0.0618896484375,
-0.01503753662109375,
0.055908203125,
-0.02044677734375,
0.01004791259765625,
0.034942626953125,
0.036651611328125,
-0.00525665283203125,
0.0148162841796875,
0.024627685546875,
-0.01153564453125,
-0.0018367767333984375,
0.036407470703125,
0.039154052734375,
-0.042633056640625,
0.032989501953125,
-0.06243896484375,
-0.01119232177734375,
-0.0230712890625,
-0.04132080078125,
-0.08551025390625,
-0.0195159912109375,
-0.0302581787109375,
-0.024261474609375,
0.00949859619140625,
0.08367919921875,
0.06982421875,
-0.06427001953125,
-0.0229034423828125,
0.004184722900390625,
-0.02252197265625,
-0.0182037353515625,
-0.01708984375,
0.0271759033203125,
-0.00681304931640625,
-0.042449951171875,
-0.00960540771484375,
-0.01534271240234375,
0.0150604248046875,
-0.01233673095703125,
-0.008514404296875,
-0.0131988525390625,
-0.0211181640625,
0.0297698974609375,
0.008636474609375,
-0.0506591796875,
-0.037506103515625,
-0.019561767578125,
-0.005794525146484375,
0.0258026123046875,
0.021148681640625,
-0.032379150390625,
0.039703369140625,
0.01088714599609375,
0.03363037109375,
0.045867919921875,
0.00978851318359375,
0.0219879150390625,
-0.054046630859375,
0.0120697021484375,
0.0193634033203125,
0.037078857421875,
0.0004901885986328125,
-0.04742431640625,
0.046142578125,
0.0291900634765625,
-0.034332275390625,
-0.054931640625,
-0.00807952880859375,
-0.09161376953125,
0.00792694091796875,
0.082763671875,
0.01129913330078125,
-0.035919189453125,
0.0024261474609375,
-0.0135955810546875,
0.0267333984375,
-0.044219970703125,
0.0384521484375,
0.05181884765625,
-0.022918701171875,
0.0006556510925292969,
-0.028564453125,
0.017822265625,
0.021728515625,
-0.035614013671875,
-0.0256195068359375,
0.018798828125,
0.04815673828125,
0.01395416259765625,
0.01479339599609375,
-0.00009226799011230469,
0.03564453125,
-0.006343841552734375,
0.0517578125,
-0.0186920166015625,
-0.0211181640625,
-0.038116455078125,
0.01078033447265625,
0.00966644287109375,
-0.042938232421875
]
] |
Terps/distilhubert-finetuned-gtzan | 2023-10-22T19:17:41.000Z | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | Terps | null | null | Terps/distilhubert-finetuned-gtzan | 0 | 2 | transformers | 2023-09-27T18:57:50 | ---
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
model-index:
- name: distilhubert-finetuned-gtzan
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4710
- eval_accuracy: 0.87
- eval_runtime: 52.8306
- eval_samples_per_second: 1.893
- eval_steps_per_second: 0.246
- epoch: 16.0
- step: 1808
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
| 1,342 | [
[
-0.03253173828125,
-0.049285888671875,
0.0168304443359375,
0.014862060546875,
-0.03271484375,
-0.027557373046875,
-0.0159149169921875,
-0.02178955078125,
0.00601959228515625,
0.01235198974609375,
-0.04949951171875,
-0.04083251953125,
-0.046417236328125,
-0.0053253173828125,
-0.02581787109375,
0.09136962890625,
0.00963592529296875,
0.033782958984375,
0.001285552978515625,
-0.0019512176513671875,
-0.0286407470703125,
-0.04095458984375,
-0.06707763671875,
-0.058624267578125,
0.035186767578125,
0.01412200927734375,
0.061676025390625,
0.06036376953125,
0.037261962890625,
0.019775390625,
-0.03564453125,
-0.0069427490234375,
-0.05767822265625,
-0.030853271484375,
-0.00574493408203125,
-0.0291900634765625,
-0.0587158203125,
0.007785797119140625,
0.04840087890625,
0.0145263671875,
-0.0362548828125,
0.03948974609375,
0.0237274169921875,
0.03973388671875,
-0.030975341796875,
0.0209197998046875,
-0.03515625,
0.0169830322265625,
-0.0194854736328125,
-0.024627685546875,
-0.024261474609375,
-0.02069091796875,
0.01551055908203125,
-0.047637939453125,
0.04248046875,
-0.011077880859375,
0.09234619140625,
0.031951904296875,
-0.01300048828125,
0.00858306884765625,
-0.06988525390625,
0.0455322265625,
-0.053741455078125,
0.0081787109375,
0.0241546630859375,
0.047943115234375,
-0.00209808349609375,
-0.065673828125,
-0.037750244140625,
-0.0248260498046875,
-0.006862640380859375,
0.013031005859375,
-0.01354217529296875,
0.0100860595703125,
0.05560302734375,
0.041656494140625,
-0.044525146484375,
0.006969451904296875,
-0.0426025390625,
-0.006744384765625,
0.0521240234375,
0.04827880859375,
-0.01309967041015625,
-0.01336669921875,
-0.04302978515625,
-0.01190185546875,
-0.0199737548828125,
0.0002906322479248047,
0.040863037109375,
0.01480865478515625,
-0.0214691162109375,
0.0333251953125,
-0.0292205810546875,
0.061920166015625,
0.01493072509765625,
-0.007770538330078125,
0.029052734375,
-0.0013141632080078125,
-0.043212890625,
-0.00368499755859375,
0.06427001953125,
0.038482666015625,
0.0247039794921875,
0.01203155517578125,
-0.02178955078125,
-0.006694793701171875,
0.02630615234375,
-0.06939697265625,
-0.043670654296875,
0.0038852691650390625,
-0.032318115234375,
-0.054046630859375,
0.0006051063537597656,
-0.034576416015625,
0.00429534912109375,
-0.048126220703125,
0.0452880859375,
-0.034881591796875,
-0.00994873046875,
0.006626129150390625,
-0.0150299072265625,
0.01361083984375,
0.028411865234375,
-0.04931640625,
0.02587890625,
0.0159912109375,
0.037933349609375,
0.01340484619140625,
-0.034698486328125,
-0.007366180419921875,
0.00017845630645751953,
-0.01361083984375,
0.03131103515625,
-0.006587982177734375,
-0.03216552734375,
-0.024688720703125,
0.007297515869140625,
-0.007266998291015625,
-0.0276031494140625,
0.0670166015625,
-0.0220794677734375,
0.024139404296875,
-0.01641845703125,
-0.043426513671875,
-0.01800537109375,
0.02923583984375,
-0.05804443359375,
0.0946044921875,
0.01215362548828125,
-0.05657958984375,
0.039276123046875,
-0.050811767578125,
-0.007808685302734375,
0.0194854736328125,
0.0020236968994140625,
-0.05047607421875,
0.01108551025390625,
0.0006465911865234375,
0.037017822265625,
-0.025299072265625,
0.0460205078125,
-0.0286102294921875,
-0.04437255859375,
0.0032939910888671875,
-0.05609130859375,
0.057891845703125,
0.0160675048828125,
-0.028289794921875,
0.01611328125,
-0.0906982421875,
0.0235595703125,
0.0257720947265625,
-0.036895751953125,
0.0008554458618164062,
-0.024932861328125,
0.0416259765625,
0.019500732421875,
0.0230560302734375,
-0.033538818359375,
0.016632080078125,
-0.013458251953125,
0.0234527587890625,
0.054779052734375,
-0.0019741058349609375,
-0.0092315673828125,
-0.0253753662109375,
0.01103973388671875,
0.006549835205078125,
0.04876708984375,
0.05010986328125,
-0.024261474609375,
-0.06781005859375,
-0.0142364501953125,
0.0275726318359375,
0.018798828125,
-0.03680419921875,
0.044891357421875,
-0.009429931640625,
-0.07049560546875,
-0.01849365234375,
0.0026226043701171875,
0.0300140380859375,
0.051513671875,
0.041656494140625,
-0.00437164306640625,
-0.0240936279296875,
-0.08502197265625,
0.00870513916015625,
0.0013074874877929688,
0.0198974609375,
0.0066070556640625,
0.04339599609375,
-0.0097808837890625,
0.04949951171875,
-0.04937744140625,
-0.009429931640625,
-0.03228759765625,
0.007335662841796875,
0.03826904296875,
0.051422119140625,
0.060302734375,
-0.03424072265625,
-0.035308837890625,
-0.0179443359375,
-0.058441162109375,
0.0216064453125,
-0.004558563232421875,
-0.0260772705078125,
-0.0238189697265625,
0.007114410400390625,
-0.040191650390625,
0.06121826171875,
0.01450347900390625,
-0.013580322265625,
0.05718994140625,
-0.04168701171875,
-0.0023708343505859375,
-0.08782958984375,
0.0199127197265625,
0.032928466796875,
-0.009246826171875,
-0.041412353515625,
0.00911712646484375,
0.00568389892578125,
-0.008697509765625,
-0.036407470703125,
0.03338623046875,
-0.006084442138671875,
0.027374267578125,
-0.027740478515625,
-0.02740478515625,
0.0054473876953125,
0.055755615234375,
0.01425933837890625,
0.036651611328125,
0.047943115234375,
-0.059173583984375,
0.041900634765625,
0.0281524658203125,
-0.0178070068359375,
0.039093017578125,
-0.08233642578125,
0.00554656982421875,
-0.000370025634765625,
-0.0030078887939453125,
-0.046661376953125,
-0.014984130859375,
0.032989501953125,
-0.0203094482421875,
0.031494140625,
-0.01800537109375,
-0.034454345703125,
-0.03668212890625,
-0.0019292831420898438,
0.02392578125,
0.02667236328125,
-0.053436279296875,
0.02935791015625,
-0.01242828369140625,
0.027313232421875,
-0.040863037109375,
-0.05047607421875,
-0.0220184326171875,
-0.022491455078125,
-0.025299072265625,
0.0178070068359375,
-0.004619598388671875,
0.0149688720703125,
-0.002719879150390625,
-0.005084991455078125,
-0.0272216796875,
0.00986480712890625,
0.0251312255859375,
0.04351806640625,
-0.00598907470703125,
-0.000827789306640625,
-0.00047779083251953125,
-0.0233612060546875,
0.014404296875,
-0.0017108917236328125,
0.042236328125,
-0.0110321044921875,
-0.00952911376953125,
-0.0743408203125,
-0.0189666748046875,
0.03277587890625,
-0.0013637542724609375,
0.0626220703125,
0.06109619140625,
-0.035675048828125,
-0.0038280487060546875,
-0.025482177734375,
-0.006381988525390625,
-0.033203125,
0.035797119140625,
-0.03167724609375,
-0.00894927978515625,
0.0310211181640625,
0.01273345947265625,
0.0025119781494140625,
0.07220458984375,
0.038604736328125,
0.0010480880737304688,
0.0654296875,
0.0277252197265625,
-0.01873779296875,
0.028472900390625,
-0.06683349609375,
-0.016448974609375,
-0.05487060546875,
-0.025115966796875,
-0.037811279296875,
-0.03680419921875,
-0.046142578125,
0.00408935546875,
0.0175628662109375,
0.0169830322265625,
-0.037200927734375,
0.04302978515625,
-0.049713134765625,
0.0306243896484375,
0.059967041015625,
0.038909912109375,
0.0044403076171875,
0.005619049072265625,
-0.016387939453125,
-0.0008625984191894531,
-0.06256103515625,
-0.030487060546875,
0.09588623046875,
0.0303955078125,
0.063720703125,
-0.01068115234375,
0.052032470703125,
0.01064300537109375,
0.00939178466796875,
-0.036468505859375,
0.034576416015625,
0.00812530517578125,
-0.06561279296875,
-0.0223541259765625,
-0.031951904296875,
-0.043212890625,
0.01036834716796875,
-0.029937744140625,
-0.044342041015625,
0.00787353515625,
0.031585693359375,
-0.031463623046875,
0.024749755859375,
-0.0364990234375,
0.08160400390625,
-0.0272216796875,
-0.0435791015625,
-0.027374267578125,
-0.031341552734375,
0.01386260986328125,
0.0150299072265625,
-0.041748046875,
-0.0026416778564453125,
0.040863037109375,
0.055450439453125,
-0.049896240234375,
0.042694091796875,
-0.037933349609375,
0.0286102294921875,
0.0308074951171875,
-0.019866943359375,
0.039794921875,
0.018463134765625,
-0.01318359375,
0.0239410400390625,
0.0006041526794433594,
-0.039093017578125,
-0.0330810546875,
0.05670166015625,
-0.08367919921875,
-0.015777587890625,
-0.048431396484375,
-0.03564453125,
0.0013675689697265625,
0.00493621826171875,
0.04608154296875,
0.061370849609375,
-0.0275726318359375,
0.00235748291015625,
0.035400390625,
0.0030422210693359375,
0.0273895263671875,
0.0167083740234375,
0.004241943359375,
-0.03656005859375,
0.0699462890625,
-0.004459381103515625,
0.01375579833984375,
-0.00463104248046875,
0.021026611328125,
-0.036102294921875,
-0.04736328125,
-0.047882080078125,
0.01186370849609375,
-0.0426025390625,
-0.0157928466796875,
-0.01348114013671875,
-0.04241943359375,
-0.00623321533203125,
0.02630615234375,
-0.030548095703125,
-0.024993896484375,
-0.045440673828125,
-0.02142333984375,
0.0296173095703125,
0.04791259765625,
-0.0014638900756835938,
0.050750732421875,
-0.043548583984375,
0.003055572509765625,
0.009124755859375,
0.027313232421875,
0.01171112060546875,
-0.0628662109375,
-0.03912353515625,
0.0076446533203125,
-0.03875732421875,
-0.036956787109375,
0.027801513671875,
0.00878143310546875,
0.05145263671875,
0.038482666015625,
-0.0091094970703125,
0.08026123046875,
-0.0232696533203125,
0.05035400390625,
0.018829345703125,
-0.0433349609375,
0.036651611328125,
-0.0123443603515625,
0.0224761962890625,
0.054046630859375,
0.047943115234375,
-0.0019369125366210938,
-0.00974273681640625,
-0.07781982421875,
-0.047698974609375,
0.06292724609375,
0.031280517578125,
0.00377655029296875,
0.01262664794921875,
0.035369873046875,
-0.0011653900146484375,
0.01548004150390625,
-0.0643310546875,
-0.0484619140625,
-0.0199127197265625,
-0.00638580322265625,
-0.01004791259765625,
-0.0283660888671875,
-0.0136566162109375,
-0.0576171875,
0.08709716796875,
0.00576019287109375,
0.0168609619140625,
0.0107879638671875,
-0.0007228851318359375,
0.0002079010009765625,
0.00024187564849853516,
0.0455322265625,
0.05279541015625,
-0.04833984375,
-0.02264404296875,
0.0167694091796875,
-0.043701171875,
0.0027484893798828125,
0.0303955078125,
-0.01085662841796875,
0.016693115234375,
0.0173492431640625,
0.0810546875,
-0.0033416748046875,
0.00576019287109375,
0.0181427001953125,
-0.019561767578125,
-0.032196044921875,
-0.03375244140625,
0.025177001953125,
-0.0121307373046875,
0.0174560546875,
0.008087158203125,
0.0255889892578125,
0.014739990234375,
-0.004047393798828125,
0.006175994873046875,
0.006969451904296875,
-0.038604736328125,
-0.0249481201171875,
0.06390380859375,
0.0091094970703125,
-0.005512237548828125,
0.06146240234375,
-0.01416778564453125,
-0.01434326171875,
0.0457763671875,
0.0295257568359375,
0.06707763671875,
-0.00788116455078125,
0.00643157958984375,
0.0650634765625,
0.0056610107421875,
-0.0168304443359375,
0.033935546875,
0.00415802001953125,
-0.03302001953125,
-0.00995635986328125,
-0.054779052734375,
-0.01363372802734375,
0.04803466796875,
-0.0966796875,
0.03143310546875,
-0.04437255859375,
-0.03955078125,
0.019744873046875,
0.01178741455078125,
-0.0799560546875,
0.04534912109375,
0.008697509765625,
0.0848388671875,
-0.0667724609375,
0.0855712890625,
0.03900146484375,
-0.034027099609375,
-0.08319091796875,
-0.0118255615234375,
-0.01108551025390625,
-0.050201416015625,
0.0526123046875,
-0.001430511474609375,
0.016845703125,
0.006099700927734375,
-0.037078857421875,
-0.050140380859375,
0.08367919921875,
0.0222320556640625,
-0.06640625,
-0.0024623870849609375,
0.024444580078125,
0.059326171875,
0.0015707015991210938,
0.051422119140625,
0.0269775390625,
0.0184478759765625,
0.0176849365234375,
-0.06982421875,
-0.01297760009765625,
-0.024505615234375,
0.0199127197265625,
0.0139923095703125,
-0.0458984375,
0.07391357421875,
0.002166748046875,
0.01531219482421875,
0.0235137939453125,
0.043426513671875,
0.00688934326171875,
0.016937255859375,
0.0176544189453125,
0.07684326171875,
0.0457763671875,
-0.0165557861328125,
0.072998046875,
-0.040313720703125,
0.060791015625,
0.10235595703125,
0.00102996826171875,
0.0367431640625,
0.021240234375,
-0.0161895751953125,
0.0239715576171875,
0.055145263671875,
-0.034637451171875,
0.04437255859375,
0.021881103515625,
-0.0016222000122070312,
-0.026397705078125,
0.017120361328125,
-0.047882080078125,
0.024810791015625,
0.0005450248718261719,
-0.048004150390625,
-0.033905029296875,
-0.02001953125,
-0.018646240234375,
-0.016204833984375,
-0.031219482421875,
0.036651611328125,
-0.0184478759765625,
-0.016021728515625,
0.061492919921875,
0.0075836181640625,
0.0183563232421875,
-0.047637939453125,
-0.005077362060546875,
-0.00041484832763671875,
0.031219482421875,
-0.0183563232421875,
-0.039642333984375,
0.00951385498046875,
-0.00209808349609375,
-0.01204681396484375,
0.00992584228515625,
0.036956787109375,
-0.0223541259765625,
-0.06036376953125,
0.01207733154296875,
0.0282440185546875,
0.014862060546875,
-0.0032444000244140625,
-0.081787109375,
-0.01351165771484375,
-0.0006337165832519531,
-0.028472900390625,
0.01049041748046875,
0.0226593017578125,
0.0115814208984375,
0.037384033203125,
0.041839599609375,
0.002414703369140625,
-0.004863739013671875,
0.0211029052734375,
0.07684326171875,
-0.04937744140625,
-0.03228759765625,
-0.0736083984375,
0.044647216796875,
-0.0253753662109375,
-0.070068359375,
0.0478515625,
0.072998046875,
0.066650390625,
-0.0208587646484375,
0.03863525390625,
0.0028095245361328125,
0.020233154296875,
-0.0333251953125,
0.05682373046875,
-0.0298309326171875,
-0.00812530517578125,
-0.02435302734375,
-0.06768798828125,
0.0130767822265625,
0.0498046875,
-0.0209197998046875,
-0.0017671585083007812,
0.032135009765625,
0.05230712890625,
-0.0157318115234375,
0.0143280029296875,
0.0229034423828125,
-0.00055694580078125,
0.0095672607421875,
0.041900634765625,
0.053131103515625,
-0.06109619140625,
0.021942138671875,
-0.053436279296875,
-0.003894805908203125,
-0.007396697998046875,
-0.04559326171875,
-0.08038330078125,
-0.018524169921875,
-0.03765869140625,
-0.034515380859375,
0.0037384033203125,
0.07513427734375,
0.054229736328125,
-0.05010986328125,
-0.030303955078125,
-0.004970550537109375,
-0.024139404296875,
-0.025115966796875,
-0.0172271728515625,
0.027923583984375,
-0.00299835205078125,
-0.0594482421875,
-0.0017786026000976562,
-0.021331787109375,
0.0250701904296875,
-0.0136871337890625,
-0.01551055908203125,
-0.01434326171875,
-0.030059814453125,
0.0136566162109375,
-0.00638580322265625,
-0.030792236328125,
-0.019744873046875,
-0.017486572265625,
-0.0177764892578125,
0.0178680419921875,
0.0179595947265625,
-0.039398193359375,
0.023162841796875,
0.006565093994140625,
0.0098724365234375,
0.06036376953125,
0.00040650367736816406,
0.028564453125,
-0.047637939453125,
0.025665283203125,
0.01482391357421875,
0.03289794921875,
-0.0028781890869140625,
-0.0290679931640625,
0.039794921875,
0.028564453125,
-0.041168212890625,
-0.043212890625,
-0.016143798828125,
-0.0809326171875,
0.014923095703125,
0.06866455078125,
0.0005292892456054688,
-0.031951904296875,
0.035186767578125,
-0.01702880859375,
0.0298614501953125,
-0.024383544921875,
0.04608154296875,
0.045013427734375,
-0.0014925003051757812,
0.01885986328125,
-0.0428466796875,
0.032684326171875,
0.008697509765625,
-0.0462646484375,
-0.018768310546875,
0.030975341796875,
0.045745849609375,
-0.002910614013671875,
0.0178985595703125,
0.0021266937255859375,
0.032257080078125,
0.002880096435546875,
0.0257110595703125,
-0.039215087890625,
-0.033203125,
-0.02252197265625,
-0.0017070770263671875,
0.01336669921875,
-0.03875732421875
]
] |
JiemingYou/a2c-PandaReachDense-v3 | 2023-09-27T19:09:05.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | JiemingYou | null | null | JiemingYou/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-09-27T19:03:26 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: -0.16 +/- 0.13
name: mean_reward
verified: false
---
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 802 | [
[
-0.0222320556640625,
-0.046966552734375,
-0.001811981201171875,
0.0477294921875,
0.0019321441650390625,
-0.0059051513671875,
0.034088134765625,
-0.0240325927734375,
0.02874755859375,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,
-0.0009937286376953125,
-0.0265960693359375,
0.072021484375,
-0.0136566162109375,
0.03326416015625,
0.0006146430969238281,
-0.01519012451171875,
-0.01404571533203125,
-0.0194854736328125,
-0.0714111328125,
-0.054656982421875,
0.01580810546875,
0.0288238525390625,
0.056884765625,
0.04522705078125,
0.03778076171875,
0.0262908935546875,
-0.029296875,
-0.03466796875,
-0.040313720703125,
0.00826263427734375,
0.00209808349609375,
-0.0517578125,
-0.046356201171875,
0.00701141357421875,
0.041473388671875,
0.012542724609375,
-0.030609130859375,
0.00908660888671875,
-0.01099395751953125,
0.03515625,
-0.03961181640625,
0.0264434814453125,
-0.0135650634765625,
0.0060272216796875,
0.0044403076171875,
0.0176239013671875,
-0.019287109375,
-0.0220947265625,
0.0189056396484375,
-0.0584716796875,
0.0029277801513671875,
-0.007213592529296875,
0.095458984375,
0.0222625732421875,
-0.0271148681640625,
0.0013093948364257812,
-0.00371551513671875,
0.028228759765625,
-0.0247650146484375,
0.00812530517578125,
0.0452880859375,
0.04315185546875,
0.0037059783935546875,
-0.059814453125,
-0.015777587890625,
-0.0184326171875,
0.01097869873046875,
0.00923919677734375,
-0.00290679931640625,
-0.0010633468627929688,
0.031402587890625,
0.01555633544921875,
-0.01922607421875,
0.01428985595703125,
-0.03662109375,
-0.034088134765625,
0.0277557373046875,
0.02655029296875,
0.00815582275390625,
0.00849151611328125,
-0.0338134765625,
-0.00048732757568359375,
-0.0302734375,
0.034637451171875,
0.020477294921875,
0.0063934326171875,
-0.04833984375,
0.05792236328125,
-0.0161285400390625,
0.038177490234375,
0.03155517578125,
0.01800537109375,
0.036346435546875,
0.0033588409423828125,
0.0010929107666015625,
-0.0031528472900390625,
0.027862548828125,
0.04718017578125,
-0.0000814199447631836,
0.00908660888671875,
-0.028717041015625,
0.00798797607421875,
0.022247314453125,
-0.0771484375,
-0.02984619140625,
0.0291290283203125,
-0.037109375,
-0.042877197265625,
0.003772735595703125,
-0.0386962890625,
-0.02001953125,
-0.0143280029296875,
0.0056610107421875,
-0.050811767578125,
-0.0267486572265625,
-0.0180816650390625,
-0.035919189453125,
0.04644775390625,
0.01386260986328125,
-0.06451416015625,
0.0439453125,
0.03851318359375,
0.0772705078125,
0.01084136962890625,
-0.045989990234375,
-0.049957275390625,
0.00807952880859375,
-0.0343017578125,
0.07000732421875,
0.00455474853515625,
-0.031494140625,
0.025146484375,
0.02227783203125,
0.01441192626953125,
-0.03765869140625,
0.027923583984375,
-0.04022216796875,
-0.015350341796875,
-0.013702392578125,
-0.034912109375,
-0.00989532470703125,
0.0291595458984375,
-0.05859375,
0.082275390625,
0.040252685546875,
-0.054290771484375,
0.01448822021484375,
-0.0465087890625,
-0.021484375,
0.01386260986328125,
0.0262298583984375,
-0.055450439453125,
-0.0251617431640625,
-0.00997161865234375,
0.016265869140625,
0.0306549072265625,
-0.0214385986328125,
-0.062164306640625,
-0.0384521484375,
-0.0017099380493164062,
0.0204315185546875,
0.09356689453125,
0.0101318359375,
-0.007503509521484375,
0.01384735107421875,
-0.052001953125,
-0.0166778564453125,
0.006832122802734375,
-0.0271148681640625,
0.003673553466796875,
-0.006519317626953125,
0.0216827392578125,
0.00557708740234375,
0.038543701171875,
-0.039947509765625,
0.0250396728515625,
-0.026611328125,
0.0184783935546875,
0.052215576171875,
-0.003326416015625,
0.044097900390625,
-0.044281005859375,
0.02557373046875,
0.0033721923828125,
0.0054473876953125,
0.011932373046875,
-0.0291595458984375,
-0.044403076171875,
-0.04425048828125,
0.007213592529296875,
0.070068359375,
-0.0762939453125,
0.046539306640625,
0.0199432373046875,
-0.05059814453125,
-0.0352783203125,
-0.0020751953125,
0.01593017578125,
0.01092529296875,
0.0248260498046875,
-0.006824493408203125,
-0.03955078125,
-0.060699462890625,
0.01971435546875,
-0.0297088623046875,
-0.0020542144775390625,
0.00983428955078125,
0.036956787109375,
-0.042449951171875,
0.05120849609375,
-0.0310516357421875,
-0.027557373046875,
-0.0194549560546875,
-0.0052947998046875,
0.006622314453125,
0.05877685546875,
0.07183837890625,
-0.0160675048828125,
-0.03314208984375,
-0.0396728515625,
-0.05938720703125,
-0.01873779296875,
0.0195159912109375,
-0.03411865234375,
0.024658203125,
0.032196044921875,
-0.06488037109375,
0.0382080078125,
0.042022705078125,
-0.04931640625,
0.0516357421875,
-0.0081939697265625,
-0.008026123046875,
-0.07965087890625,
0.0097198486328125,
0.0169677734375,
-0.02813720703125,
-0.036773681640625,
0.025054931640625,
0.024200439453125,
-0.0078125,
-0.0478515625,
0.05780029296875,
-0.04095458984375,
-0.008209228515625,
-0.034820556640625,
-0.00800323486328125,
-0.003864288330078125,
0.0149078369140625,
0.00905609130859375,
0.042022705078125,
0.0972900390625,
-0.03753662109375,
0.06964111328125,
0.055572509765625,
-0.01198577880859375,
0.05059814453125,
-0.03369140625,
-0.014678955078125,
-0.010162353515625,
0.0460205078125,
-0.035186767578125,
-0.0273590087890625,
0.03955078125,
-0.036102294921875,
0.026580810546875,
-0.0189056396484375,
-0.03118896484375,
-0.0435791015625,
-0.02392578125,
0.0212554931640625,
0.026092529296875,
-0.05230712890625,
0.03961181640625,
0.039031982421875,
0.001285552978515625,
-0.040313720703125,
-0.0528564453125,
-0.00970458984375,
-0.01031494140625,
-0.03338623046875,
0.01184844970703125,
-0.01195526123046875,
-0.01666259765625,
-0.0038738250732421875,
-0.001590728759765625,
-0.0170135498046875,
0.0167236328125,
0.01143646240234375,
0.022796630859375,
-0.0161590576171875,
-0.03448486328125,
-0.012420654296875,
-0.0198974609375,
0.01200103759765625,
0.020263671875,
0.04351806640625,
-0.0291900634765625,
0.00792694091796875,
-0.0693359375,
0.01404571533203125,
0.022705078125,
0.0028057098388671875,
0.06451416015625,
0.04632568359375,
-0.0400390625,
-0.016204833984375,
-0.01287841796875,
-0.01263427734375,
-0.03814697265625,
0.0214691162109375,
-0.0298919677734375,
-0.032501220703125,
0.0625,
0.01235198974609375,
-0.0079345703125,
0.032379150390625,
0.040008544921875,
-0.004230499267578125,
0.08294677734375,
0.045989990234375,
-0.0199432373046875,
0.048828125,
-0.04248046875,
-0.032135009765625,
-0.064697265625,
-0.0244598388671875,
-0.034576416015625,
0.01195526123046875,
-0.0257415771484375,
-0.007259368896484375,
-0.0004742145538330078,
0.032135009765625,
-0.0499267578125,
0.055389404296875,
-0.01800537109375,
0.029388427734375,
0.03515625,
0.020111083984375,
-0.03131103515625,
-0.0273284912109375,
-0.007022857666015625,
0.03546142578125,
-0.0222320556640625,
-0.0249176025390625,
0.06292724609375,
0.0406494140625,
0.05853271484375,
0.025909423828125,
0.0467529296875,
0.007389068603515625,
0.036590576171875,
-0.046966552734375,
0.03765869140625,
0.0026760101318359375,
-0.06390380859375,
-0.0139007568359375,
-0.0149688720703125,
-0.06585693359375,
0.01800537109375,
-0.019683837890625,
-0.05694580078125,
-0.0036640167236328125,
0.00804901123046875,
-0.0238800048828125,
0.0027828216552734375,
-0.03564453125,
0.08062744140625,
-0.00022602081298828125,
-0.0271148681640625,
0.00022113323211669922,
-0.046783447265625,
0.03228759765625,
0.03106689453125,
-0.00666046142578125,
-0.01666259765625,
-0.0133819580078125,
0.0223846435546875,
-0.0308837890625,
0.0455322265625,
-0.045654296875,
-0.00027441978454589844,
0.035919189453125,
0.0270843505859375,
0.0335693359375,
0.0361328125,
-0.016754150390625,
0.019622802734375,
0.0216064453125,
-0.0728759765625,
-0.006542205810546875,
0.048828125,
-0.08148193359375,
-0.0204925537109375,
-0.05938720703125,
-0.00904083251953125,
0.003757476806640625,
0.02392578125,
0.0107879638671875,
0.035125732421875,
-0.0309600830078125,
0.0154571533203125,
0.0230560302734375,
0.0194854736328125,
0.031982421875,
0.0528564453125,
-0.0291290283203125,
-0.03863525390625,
0.04345703125,
-0.0124053955078125,
-0.005126953125,
0.002002716064453125,
-0.01300048828125,
-0.020751953125,
-0.0260467529296875,
-0.037933349609375,
0.01007080078125,
-0.0362548828125,
-0.021942138671875,
-0.033172607421875,
-0.0426025390625,
-0.04156494140625,
-0.020721435546875,
-0.028411865234375,
-0.0126190185546875,
-0.05950927734375,
-0.0211181640625,
0.01776123046875,
0.03131103515625,
-0.045867919921875,
0.06866455078125,
-0.045684814453125,
0.043548583984375,
0.0012969970703125,
0.05377197265625,
-0.029815673828125,
-0.0225067138671875,
-0.04180908203125,
0.003650665283203125,
-0.052001953125,
-0.068115234375,
0.03216552734375,
-0.00870513916015625,
0.06842041015625,
0.038970947265625,
-0.016754150390625,
0.038238525390625,
-0.03277587890625,
0.0675048828125,
0.00609588623046875,
-0.0701904296875,
0.032379150390625,
-0.034942626953125,
0.0186004638671875,
0.050506591796875,
0.025360107421875,
-0.00905609130859375,
-0.028961181640625,
-0.0596923828125,
-0.0489501953125,
0.0823974609375,
0.03436279296875,
-0.015777587890625,
0.001361846923828125,
0.03802490234375,
-0.018768310546875,
0.008636474609375,
-0.06085205078125,
-0.0264129638671875,
-0.046600341796875,
-0.01290130615234375,
-0.01413726806640625,
0.0009050369262695312,
-0.016204833984375,
-0.003467559814453125,
0.07666015625,
-0.0163726806640625,
0.01934814453125,
0.005458831787109375,
-0.00473785400390625,
-0.02972412109375,
-0.050628662109375,
0.024566650390625,
0.003528594970703125,
-0.048553466796875,
-0.023712158203125,
0.004772186279296875,
-0.02587890625,
0.0050201416015625,
0.0374755859375,
-0.01261138916015625,
-0.0174713134765625,
0.032135009765625,
0.06695556640625,
0.0038242340087890625,
-0.028533935546875,
0.054718017578125,
-0.0158233642578125,
-0.014190673828125,
-0.044952392578125,
0.01390838623046875,
-0.0014524459838867188,
0.0325927734375,
-0.00954437255859375,
0.0384521484375,
0.019317626953125,
-0.040863037109375,
0.031494140625,
0.02972412109375,
-0.054290771484375,
-0.017974853515625,
0.0557861328125,
0.020111083984375,
-0.035430908203125,
0.046966552734375,
-0.005733489990234375,
-0.0382080078125,
0.0782470703125,
0.035308837890625,
0.062103271484375,
-0.03851318359375,
0.01502227783203125,
0.041961669921875,
0.01235198974609375,
-0.032867431640625,
0.03277587890625,
0.001056671142578125,
-0.06536865234375,
0.003307342529296875,
-0.034027099609375,
-0.043487548828125,
-0.0018815994262695312,
-0.06024169921875,
0.043212890625,
-0.034423828125,
-0.0228118896484375,
-0.0019235610961914062,
0.019744873046875,
-0.0345458984375,
-0.0029296875,
0.0164337158203125,
0.1055908203125,
-0.04730224609375,
0.062042236328125,
0.06390380859375,
-0.03765869140625,
-0.026611328125,
0.0080718994140625,
0.0228424072265625,
-0.06744384765625,
0.021484375,
0.04254150390625,
0.0132904052734375,
0.0106658935546875,
-0.0731201171875,
-0.072021484375,
0.08758544921875,
-0.0027618408203125,
0.01415252685546875,
0.019073486328125,
-0.032501220703125,
0.0499267578125,
-0.042999267578125,
0.032196044921875,
0.04168701171875,
0.02679443359375,
0.0079803466796875,
-0.05120849609375,
-0.0182952880859375,
-0.0386962890625,
-0.000995635986328125,
-0.0207977294921875,
-0.08636474609375,
0.06365966796875,
-0.0008206367492675781,
0.00939178466796875,
0.0640869140625,
0.062408447265625,
0.056060791015625,
0.001346588134765625,
0.042205810546875,
0.043853759765625,
0.01427459716796875,
-0.00164794921875,
0.061248779296875,
-0.03662109375,
0.03912353515625,
0.04534912109375,
-0.048095703125,
0.052642822265625,
0.0030574798583984375,
0.00670623779296875,
0.05694580078125,
0.07293701171875,
-0.0222930908203125,
0.0504150390625,
0.0240020751953125,
-0.004459381103515625,
-0.01371002197265625,
0.0284271240234375,
-0.0245361328125,
0.025543212890625,
0.0343017578125,
0.01061248779296875,
-0.01451873779296875,
-0.01338958740234375,
-0.0030422210693359375,
-0.01189422607421875,
-0.04010009765625,
0.07379150390625,
-0.0015287399291992188,
-0.054168701171875,
0.056121826171875,
0.0113067626953125,
0.03326416015625,
-0.042205810546875,
-0.00202178955078125,
-0.01641845703125,
0.04217529296875,
-0.0012836456298828125,
-0.0738525390625,
0.0159454345703125,
-0.0139923095703125,
-0.005889892578125,
-0.001926422119140625,
0.03570556640625,
-0.0240020751953125,
-0.033172607421875,
0.05218505859375,
0.0038928985595703125,
0.006305694580078125,
0.0185546875,
-0.07781982421875,
-0.0023403167724609375,
-0.02911376953125,
-0.0350341796875,
0.0240478515625,
0.032806396484375,
0.0199127197265625,
0.068603515625,
0.03167724609375,
0.004543304443359375,
-0.004268646240234375,
-0.0093841552734375,
0.062103271484375,
-0.04278564453125,
-0.060150146484375,
-0.021209716796875,
0.045684814453125,
-0.0207061767578125,
-0.034820556640625,
0.034332275390625,
0.07513427734375,
0.03759765625,
-0.004917144775390625,
0.0455322265625,
0.0032501220703125,
0.0472412109375,
-0.0204925537109375,
0.056396484375,
-0.0311431884765625,
-0.005496978759765625,
-0.0023403167724609375,
-0.060089111328125,
-0.0103912353515625,
0.06707763671875,
0.0289306640625,
-0.0125579833984375,
0.03533935546875,
0.0595703125,
-0.0007243156433105469,
0.01074981689453125,
-0.007404327392578125,
0.0489501953125,
0.0165863037109375,
0.00603485107421875,
0.05120849609375,
-0.04217529296875,
0.0284271240234375,
-0.03961181640625,
-0.053985595703125,
-0.016937255859375,
-0.0391845703125,
-0.08587646484375,
-0.0185699462890625,
-0.0175933837890625,
-0.07867431640625,
0.002696990966796875,
0.06085205078125,
0.046630859375,
-0.06829833984375,
-0.04351806640625,
-0.0068206787109375,
-0.007106781005859375,
-0.034332275390625,
-0.0166168212890625,
0.01806640625,
-0.02996826171875,
-0.053497314453125,
0.0219573974609375,
-0.0181121826171875,
0.0303802490234375,
-0.0199432373046875,
-0.02032470703125,
-0.0201568603515625,
-0.0021991729736328125,
0.0222015380859375,
0.0362548828125,
-0.029937744140625,
-0.0240020751953125,
-0.0244598388671875,
-0.0214080810546875,
-0.0030002593994140625,
0.0217742919921875,
-0.040863037109375,
-0.01174163818359375,
0.025299072265625,
0.005401611328125,
0.04852294921875,
0.01465606689453125,
0.035552978515625,
-0.025909423828125,
0.0305328369140625,
0.005283355712890625,
0.046844482421875,
0.018463134765625,
-0.019439697265625,
0.037384033203125,
0.0305633544921875,
-0.05108642578125,
-0.056060791015625,
0.01142120361328125,
-0.0823974609375,
-0.023956298828125,
0.10015869140625,
-0.011383056640625,
-0.040679931640625,
-0.0031986236572265625,
-0.044769287109375,
0.0277252197265625,
-0.045562744140625,
0.045166015625,
0.04815673828125,
-0.01068878173828125,
-0.017242431640625,
-0.0258026123046875,
0.04864501953125,
-0.00634002685546875,
-0.03912353515625,
-0.0162506103515625,
0.044921875,
0.0246429443359375,
0.00678253173828125,
0.046234130859375,
-0.0005712509155273438,
0.0277252197265625,
0.030181884765625,
0.0184173583984375,
0.007427215576171875,
-0.0233917236328125,
-0.030487060546875,
0.00562286376953125,
-0.017822265625,
-0.0030956268310546875
]
] |
LoneStriker/Mistral-7B-Instruct-v0.1-3.0bpw-exl2 | 2023-09-27T19:46:01.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"finetuned",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7B-Instruct-v0.1-3.0bpw-exl2 | 0 | 2 | transformers | 2023-09-27T19:17:13 | ---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
---
# ExLLaMA v2 quantization of Mistral-7B-Instruct-v0.1
Use [text-generation-webui](https://github.com/oobabooga/text-generation-webui) or [exllamav2](https://github.com/turboderp/exllamav2)
# Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) generative text model using a variety of publicly available conversation datasets.
For full details of this model please read our [release blog post](https://mistral.ai/news/announcing-mistral-7b/)
## Instruction format
In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[\INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id.
E.g.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
text = "<s>[INST] What is your favourite condiment? [/INST]"
"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
"[INST] Do you have mayonnaise recipes? [/INST]"
encodeds = tokenizer(instructions, return_tensors="pt", add_special_tokens=False)
model_inputs = encodeds.to(device)
model.to(device)
generated_ids = model.generate(**model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])
```
## Model Architecture
This instruction model is based on Mistral-7B-v0.1, a transformer model with the following architecture choices:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
## The Mistral AI Team
Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.
| 2,404 | [
[
-0.017578125,
-0.06561279296875,
0.01477813720703125,
0.02386474609375,
-0.0084686279296875,
-0.0281829833984375,
-0.00760650634765625,
-0.01001739501953125,
-0.00024628639221191406,
0.0296783447265625,
-0.039276123046875,
-0.03741455078125,
-0.036163330078125,
-0.002666473388671875,
-0.0284271240234375,
0.06494140625,
0.0009775161743164062,
0.006473541259765625,
0.001636505126953125,
0.007122039794921875,
-0.03948974609375,
-0.03857421875,
-0.0751953125,
-0.014404296875,
0.007659912109375,
0.0203094482421875,
0.043243408203125,
0.034027099609375,
0.0225677490234375,
0.02862548828125,
-0.028228759765625,
0.022674560546875,
-0.030670166015625,
0.0195770263671875,
-0.00815582275390625,
-0.040771484375,
-0.02618408203125,
-0.0210723876953125,
0.0272064208984375,
0.01276397705078125,
-0.01369476318359375,
0.0274810791015625,
-0.000020682811737060547,
0.030975341796875,
-0.036651611328125,
0.0237884521484375,
-0.03857421875,
0.0019664764404296875,
-0.0018100738525390625,
-0.008514404296875,
-0.034942626953125,
-0.0189208984375,
0.0019969940185546875,
-0.04644775390625,
0.0275115966796875,
0.00295257568359375,
0.0771484375,
0.035369873046875,
-0.036590576171875,
-0.02655029296875,
-0.0411376953125,
0.047149658203125,
-0.06732177734375,
0.020782470703125,
0.028778076171875,
0.022216796875,
-0.033447265625,
-0.08489990234375,
-0.0550537109375,
-0.0154571533203125,
0.00507354736328125,
0.019287109375,
-0.04437255859375,
0.00241851806640625,
0.028228759765625,
0.031524658203125,
-0.04058837890625,
-0.005855560302734375,
-0.040191650390625,
-0.00331878662109375,
0.0215606689453125,
0.02313232421875,
0.0103912353515625,
-0.00598907470703125,
-0.0313720703125,
-0.0215606689453125,
-0.0301361083984375,
0.02618408203125,
-0.0011587142944335938,
-0.0036716461181640625,
-0.0281219482421875,
0.0313720703125,
-0.0145416259765625,
0.0472412109375,
0.045989990234375,
-0.00970458984375,
0.02484130859375,
-0.0211029052734375,
-0.03558349609375,
0.01142120361328125,
0.08624267578125,
0.0163421630859375,
-0.00577545166015625,
0.0193939208984375,
-0.009063720703125,
-0.0023441314697265625,
0.01099395751953125,
-0.0692138671875,
-0.01393890380859375,
0.0299835205078125,
-0.0262908935546875,
-0.0273284912109375,
0.018310546875,
-0.03045654296875,
-0.017608642578125,
-0.00011748075485229492,
0.039031982421875,
-0.038055419921875,
-0.00930023193359375,
0.002269744873046875,
-0.02642822265625,
0.034881591796875,
0.0190887451171875,
-0.07781982421875,
0.0179290771484375,
0.0364990234375,
0.052825927734375,
0.0099945068359375,
-0.0160064697265625,
-0.0308380126953125,
0.014678955078125,
-0.026336669921875,
0.038818359375,
-0.0083160400390625,
-0.04437255859375,
-0.0092620849609375,
0.0123748779296875,
-0.006671905517578125,
-0.054046630859375,
0.041473388671875,
-0.0250396728515625,
0.0302276611328125,
-0.0160369873046875,
-0.033050537109375,
-0.0229949951171875,
0.007694244384765625,
-0.041748046875,
0.09625244140625,
0.0177154541015625,
-0.06085205078125,
-0.006977081298828125,
-0.050140380859375,
-0.032562255859375,
-0.0144805908203125,
-0.01546478271484375,
-0.029541015625,
0.020416259765625,
0.02398681640625,
0.0296630859375,
-0.03936767578125,
0.0249481201171875,
0.0024166107177734375,
-0.0255279541015625,
0.0377197265625,
-0.06378173828125,
0.07635498046875,
0.0186309814453125,
-0.06036376953125,
0.0220184326171875,
-0.054443359375,
-0.006587982177734375,
0.00926971435546875,
-0.01201629638671875,
-0.0004949569702148438,
-0.028076171875,
0.004016876220703125,
0.0184326171875,
0.040069580078125,
-0.015960693359375,
0.01149749755859375,
-0.0374755859375,
0.03863525390625,
0.060760498046875,
0.0100860595703125,
0.03314208984375,
-0.0283966064453125,
0.0413818359375,
0.0290069580078125,
0.034576416015625,
-0.02490234375,
-0.03759765625,
-0.0965576171875,
-0.0148162841796875,
0.0009217262268066406,
0.048675537109375,
-0.06805419921875,
0.041168212890625,
-0.0167388916015625,
-0.052459716796875,
-0.0477294921875,
0.00516510009765625,
0.033782958984375,
0.0396728515625,
0.03826904296875,
0.002162933349609375,
-0.031585693359375,
-0.06512451171875,
0.0050048828125,
-0.015533447265625,
0.022735595703125,
0.00865936279296875,
0.016693115234375,
-0.028228759765625,
0.06634521484375,
-0.039947509765625,
-0.018951416015625,
-0.026885986328125,
0.0027256011962890625,
0.031646728515625,
0.0360107421875,
0.0285797119140625,
-0.053863525390625,
-0.037322998046875,
0.0102996826171875,
-0.05645751953125,
-0.01541900634765625,
-0.00676727294921875,
-0.023223876953125,
0.01247406005859375,
0.04034423828125,
-0.055572509765625,
0.042633056640625,
0.0262298583984375,
-0.042266845703125,
0.0355224609375,
-0.0181884765625,
0.015625,
-0.1160888671875,
-0.004634857177734375,
0.00986480712890625,
-0.005176544189453125,
-0.0494384765625,
0.00177001953125,
0.01122283935546875,
0.007457733154296875,
-0.050628662109375,
0.06298828125,
-0.044036865234375,
0.033203125,
-0.0258941650390625,
-0.02850341796875,
0.011688232421875,
0.050018310546875,
-0.01056671142578125,
0.059783935546875,
0.042755126953125,
-0.0528564453125,
0.034942626953125,
0.01171875,
-0.01026153564453125,
0.025115966796875,
-0.0693359375,
-0.0002684593200683594,
-0.004241943359375,
0.0245819091796875,
-0.07073974609375,
-0.01097869873046875,
0.0435791015625,
-0.042205810546875,
0.0249176025390625,
-0.0024967193603515625,
-0.035919189453125,
-0.0291595458984375,
-0.0149383544921875,
0.03167724609375,
0.045135498046875,
-0.05206298828125,
0.054779052734375,
0.01346588134765625,
-0.003833770751953125,
-0.039031982421875,
-0.057373046875,
-0.007030487060546875,
-0.0145416259765625,
-0.039215087890625,
0.02276611328125,
0.00060272216796875,
-0.00785064697265625,
-0.012420654296875,
-0.0083160400390625,
-0.01348876953125,
0.0004863739013671875,
0.051116943359375,
0.022735595703125,
-0.01369476318359375,
-0.01416015625,
0.043121337890625,
-0.0071563720703125,
0.01026153564453125,
-0.0099639892578125,
0.06329345703125,
-0.0053558349609375,
-0.01198577880859375,
-0.058441162109375,
0.0078125,
0.046112060546875,
-0.02911376953125,
0.0513916015625,
0.07421875,
-0.0248260498046875,
-0.01380157470703125,
-0.0438232421875,
-0.0004138946533203125,
-0.042633056640625,
0.03326416015625,
-0.03228759765625,
-0.05743408203125,
0.037689208984375,
0.0178985595703125,
0.0122833251953125,
0.046875,
0.064453125,
0.0134429931640625,
0.063232421875,
0.0297698974609375,
0.00011116266250610352,
0.044769287109375,
-0.047882080078125,
0.0085296630859375,
-0.06005859375,
-0.032867431640625,
-0.0306396484375,
0.001293182373046875,
-0.0244598388671875,
-0.05072021484375,
0.0426025390625,
0.01541900634765625,
-0.036224365234375,
0.024383544921875,
-0.056396484375,
0.00827789306640625,
0.05987548828125,
0.00507354736328125,
0.003971099853515625,
0.00701904296875,
-0.0100250244140625,
0.0160369873046875,
-0.051605224609375,
-0.0294952392578125,
0.059967041015625,
0.034942626953125,
0.07330322265625,
0.018798828125,
0.058563232421875,
-0.000667572021484375,
0.0118408203125,
-0.052886962890625,
0.034271240234375,
0.00261688232421875,
-0.034698486328125,
-0.01532745361328125,
-0.033843994140625,
-0.081787109375,
0.0259246826171875,
0.0029850006103515625,
-0.04931640625,
0.0305328369140625,
0.01348876953125,
-0.044677734375,
-0.0028438568115234375,
-0.07794189453125,
0.07232666015625,
-0.0205078125,
-0.0151519775390625,
0.007564544677734375,
-0.035919189453125,
0.032257080078125,
0.018463134765625,
0.005367279052734375,
0.01302337646484375,
0.0004589557647705078,
0.059112548828125,
-0.0438232421875,
0.0687255859375,
-0.01104736328125,
-0.0241546630859375,
0.032379150390625,
-0.00922393798828125,
0.02099609375,
0.017120361328125,
0.00015795230865478516,
0.0076446533203125,
0.0203857421875,
-0.0096435546875,
-0.05572509765625,
0.059112548828125,
-0.0723876953125,
-0.056060791015625,
-0.034820556640625,
-0.027008056640625,
0.011932373046875,
0.01251983642578125,
0.062347412109375,
0.038116455078125,
-0.00981903076171875,
-0.003265380859375,
0.057159423828125,
-0.02056884765625,
0.046173095703125,
0.02423095703125,
-0.022796630859375,
-0.05389404296875,
0.0706787109375,
0.007568359375,
0.012237548828125,
0.042022705078125,
0.0103912353515625,
-0.021820068359375,
-0.002071380615234375,
-0.036712646484375,
0.00290679931640625,
-0.046905517578125,
-0.03057861328125,
-0.057373046875,
-0.030670166015625,
-0.0565185546875,
0.00608062744140625,
-0.028106689453125,
-0.0244598388671875,
-0.050048828125,
0.00748443603515625,
0.031707763671875,
0.041778564453125,
0.0106964111328125,
0.04949951171875,
-0.0589599609375,
0.038665771484375,
0.018829345703125,
-0.0201263427734375,
0.02239990234375,
-0.06951904296875,
-0.03228759765625,
0.01556396484375,
-0.045562744140625,
-0.07281494140625,
0.0404052734375,
-0.0009965896606445312,
0.036834716796875,
0.048828125,
0.0006279945373535156,
0.054962158203125,
-0.02642822265625,
0.06756591796875,
0.0269775390625,
-0.07781982421875,
0.042938232421875,
-0.003292083740234375,
0.04644775390625,
0.0253143310546875,
0.0099029541015625,
-0.042724609375,
-0.0259246826171875,
-0.049468994140625,
-0.07598876953125,
0.0418701171875,
0.01363372802734375,
0.02081298828125,
-0.02618408203125,
0.01128387451171875,
0.0021800994873046875,
0.006008148193359375,
-0.05218505859375,
-0.04608154296875,
-0.0252685546875,
-0.036865234375,
0.0135955810546875,
-0.022064208984375,
0.004749298095703125,
-0.035736083984375,
0.0635986328125,
0.0138397216796875,
0.0345458984375,
0.0202178955078125,
-0.006351470947265625,
0.00789642333984375,
0.01483917236328125,
0.044708251953125,
0.028594970703125,
0.004642486572265625,
0.00797271728515625,
0.0117340087890625,
-0.05126953125,
0.02301025390625,
0.0198822021484375,
-0.01885986328125,
0.0175628662109375,
0.0150299072265625,
0.08477783203125,
0.00146484375,
-0.02838134765625,
0.04443359375,
-0.0232696533203125,
-0.0026988983154296875,
-0.046356201171875,
0.03106689453125,
0.005764007568359375,
0.026947021484375,
0.037017822265625,
-0.01285552978515625,
0.01084136962890625,
-0.024932861328125,
-0.01053619384765625,
0.0245513916015625,
-0.029541015625,
-0.01428985595703125,
0.061676025390625,
0.006183624267578125,
-0.0217132568359375,
0.03521728515625,
-0.024749755859375,
-0.039825439453125,
0.057708740234375,
0.0537109375,
0.069091796875,
-0.027801513671875,
0.01116943359375,
0.0297393798828125,
0.02081298828125,
-0.0159912109375,
0.026092529296875,
-0.0035228729248046875,
-0.037872314453125,
0.0006165504455566406,
-0.04571533203125,
0.0009369850158691406,
0.01354217529296875,
-0.0545654296875,
0.0299835205078125,
-0.0413818359375,
-0.031280517578125,
-0.007144927978515625,
-0.01493072509765625,
-0.057159423828125,
0.0160675048828125,
-0.0008478164672851562,
0.06787109375,
-0.045013427734375,
0.061279296875,
0.056243896484375,
-0.040740966796875,
-0.07781982421875,
-0.0024204254150390625,
-0.01369476318359375,
-0.05645751953125,
0.04156494140625,
0.01419830322265625,
0.00550079345703125,
0.0161285400390625,
-0.049224853515625,
-0.05804443359375,
0.093994140625,
0.0214996337890625,
-0.03851318359375,
-0.0196380615234375,
0.00388336181640625,
0.0306549072265625,
-0.007335662841796875,
0.04638671875,
0.031585693359375,
0.0179290771484375,
0.00896453857421875,
-0.07574462890625,
0.01184844970703125,
-0.03631591796875,
0.017303466796875,
0.0035400390625,
-0.0643310546875,
0.07623291015625,
-0.01294708251953125,
-0.0167388916015625,
0.0269775390625,
0.08245849609375,
0.0180816650390625,
0.01348876953125,
0.01441192626953125,
0.060394287109375,
0.04534912109375,
0.0020732879638671875,
0.06549072265625,
-0.036163330078125,
0.0274200439453125,
0.0950927734375,
0.0110931396484375,
0.056365966796875,
0.036773681640625,
-0.01009368896484375,
0.032928466796875,
0.05157470703125,
-0.00774383544921875,
0.032135009765625,
0.0169677734375,
-0.019927978515625,
0.00982666015625,
-0.00739288330078125,
-0.049346923828125,
0.0274810791015625,
0.0274810791015625,
-0.048431396484375,
-0.002223968505859375,
0.00550079345703125,
0.0138702392578125,
-0.02557373046875,
-0.018096923828125,
0.05975341796875,
0.016876220703125,
-0.052459716796875,
0.0748291015625,
0.024566650390625,
0.056854248046875,
-0.03424072265625,
-0.01468658447265625,
-0.034332275390625,
0.00630950927734375,
-0.01418304443359375,
-0.0322265625,
-0.022857666015625,
-0.0034332275390625,
-0.0264892578125,
0.0167694091796875,
0.024322509765625,
-0.0411376953125,
-0.052978515625,
-0.00949859619140625,
0.034515380859375,
0.00818634033203125,
-0.004383087158203125,
-0.05120849609375,
0.0168914794921875,
0.0086669921875,
-0.0271453857421875,
0.001209259033203125,
0.05615234375,
-0.0030364990234375,
0.04644775390625,
0.04046630859375,
-0.013641357421875,
0.0297698974609375,
0.016143798828125,
0.06365966796875,
-0.05072021484375,
-0.043060302734375,
-0.07135009765625,
0.042724609375,
0.0028133392333984375,
-0.043731689453125,
0.060516357421875,
0.0556640625,
0.0556640625,
-0.00931549072265625,
0.05908203125,
-0.00893402099609375,
0.00260162353515625,
-0.037261962890625,
0.05364990234375,
-0.0308380126953125,
0.0222930908203125,
-0.00830078125,
-0.06768798828125,
0.0115814208984375,
0.05743408203125,
-0.0079498291015625,
0.01004791259765625,
0.04901123046875,
0.0859375,
-0.0090789794921875,
-0.01654052734375,
0.01715087890625,
0.029541015625,
0.0262908935546875,
0.044219970703125,
0.06146240234375,
-0.05584716796875,
0.0281219482421875,
-0.02752685546875,
-0.026092529296875,
-0.0066375732421875,
-0.020660400390625,
-0.07763671875,
-0.047119140625,
-0.015960693359375,
-0.048828125,
-0.0063629150390625,
0.09112548828125,
0.036224365234375,
-0.0465087890625,
-0.025054931640625,
-0.003490447998046875,
-0.000029981136322021484,
-0.0191650390625,
-0.020660400390625,
0.03253173828125,
-0.0285186767578125,
-0.0621337890625,
0.0174407958984375,
0.0106964111328125,
0.0248565673828125,
-0.022369384765625,
-0.00678253173828125,
0.0008401870727539062,
0.00801849365234375,
0.036376953125,
0.0164337158203125,
-0.06085205078125,
0.0212249755859375,
0.00815582275390625,
-0.03216552734375,
-0.0058441162109375,
0.03424072265625,
-0.042633056640625,
0.0229644775390625,
0.020477294921875,
0.033203125,
0.0374755859375,
-0.0055389404296875,
0.031829833984375,
-0.0292510986328125,
0.0196075439453125,
-0.003597259521484375,
0.025360107421875,
0.0150299072265625,
-0.035003662109375,
0.01561737060546875,
0.0025501251220703125,
-0.033660888671875,
-0.056365966796875,
-0.00865936279296875,
-0.08392333984375,
-0.0169830322265625,
0.110107421875,
-0.0033168792724609375,
-0.044158935546875,
0.00998687744140625,
-0.04754638671875,
0.045074462890625,
-0.0445556640625,
0.04974365234375,
0.0262451171875,
-0.0017938613891601562,
-0.015716552734375,
-0.0216217041015625,
0.033660888671875,
0.0284881591796875,
-0.056549072265625,
-0.0103302001953125,
0.027618408203125,
0.00940704345703125,
0.00479888916015625,
0.053375244140625,
0.008087158203125,
0.034942626953125,
0.0014657974243164062,
0.0158843994140625,
-0.017120361328125,
-0.0109405517578125,
-0.0269775390625,
-0.006694793701171875,
0.00543212890625,
-0.032928466796875
]
] |
LoneStriker/Mistral-7B-Instruct-v0.1-6.0bpw-exl2 | 2023-09-27T19:49:42.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"finetuned",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7B-Instruct-v0.1-6.0bpw-exl2 | 0 | 2 | transformers | 2023-09-27T19:17:57 | ---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
---
# ExLLaMA v2 quantization of Mistral-7B-Instruct-v0.1
Use [text-generation-webui](https://github.com/oobabooga/text-generation-webui) or [exllamav2](https://github.com/turboderp/exllamav2)
# Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) generative text model using a variety of publicly available conversation datasets.
For full details of this model please read our [release blog post](https://mistral.ai/news/announcing-mistral-7b/)
## Instruction format
In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[\INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id.
E.g.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
text = "<s>[INST] What is your favourite condiment? [/INST]"
"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
"[INST] Do you have mayonnaise recipes? [/INST]"
encodeds = tokenizer(instructions, return_tensors="pt", add_special_tokens=False)
model_inputs = encodeds.to(device)
model.to(device)
generated_ids = model.generate(**model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])
```
## Model Architecture
This instruction model is based on Mistral-7B-v0.1, a transformer model with the following architecture choices:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
## The Mistral AI Team
Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.
| 2,404 | [
[
-0.017578125,
-0.06561279296875,
0.01477813720703125,
0.02386474609375,
-0.0084686279296875,
-0.0281829833984375,
-0.00760650634765625,
-0.01001739501953125,
-0.00024628639221191406,
0.0296783447265625,
-0.039276123046875,
-0.03741455078125,
-0.036163330078125,
-0.002666473388671875,
-0.0284271240234375,
0.06494140625,
0.0009775161743164062,
0.006473541259765625,
0.001636505126953125,
0.007122039794921875,
-0.03948974609375,
-0.03857421875,
-0.0751953125,
-0.014404296875,
0.007659912109375,
0.0203094482421875,
0.043243408203125,
0.034027099609375,
0.0225677490234375,
0.02862548828125,
-0.028228759765625,
0.022674560546875,
-0.030670166015625,
0.0195770263671875,
-0.00815582275390625,
-0.040771484375,
-0.02618408203125,
-0.0210723876953125,
0.0272064208984375,
0.01276397705078125,
-0.01369476318359375,
0.0274810791015625,
-0.000020682811737060547,
0.030975341796875,
-0.036651611328125,
0.0237884521484375,
-0.03857421875,
0.0019664764404296875,
-0.0018100738525390625,
-0.008514404296875,
-0.034942626953125,
-0.0189208984375,
0.0019969940185546875,
-0.04644775390625,
0.0275115966796875,
0.00295257568359375,
0.0771484375,
0.035369873046875,
-0.036590576171875,
-0.02655029296875,
-0.0411376953125,
0.047149658203125,
-0.06732177734375,
0.020782470703125,
0.028778076171875,
0.022216796875,
-0.033447265625,
-0.08489990234375,
-0.0550537109375,
-0.0154571533203125,
0.00507354736328125,
0.019287109375,
-0.04437255859375,
0.00241851806640625,
0.028228759765625,
0.031524658203125,
-0.04058837890625,
-0.005855560302734375,
-0.040191650390625,
-0.00331878662109375,
0.0215606689453125,
0.02313232421875,
0.0103912353515625,
-0.00598907470703125,
-0.0313720703125,
-0.0215606689453125,
-0.0301361083984375,
0.02618408203125,
-0.0011587142944335938,
-0.0036716461181640625,
-0.0281219482421875,
0.0313720703125,
-0.0145416259765625,
0.0472412109375,
0.045989990234375,
-0.00970458984375,
0.02484130859375,
-0.0211029052734375,
-0.03558349609375,
0.01142120361328125,
0.08624267578125,
0.0163421630859375,
-0.00577545166015625,
0.0193939208984375,
-0.009063720703125,
-0.0023441314697265625,
0.01099395751953125,
-0.0692138671875,
-0.01393890380859375,
0.0299835205078125,
-0.0262908935546875,
-0.0273284912109375,
0.018310546875,
-0.03045654296875,
-0.017608642578125,
-0.00011748075485229492,
0.039031982421875,
-0.038055419921875,
-0.00930023193359375,
0.002269744873046875,
-0.02642822265625,
0.034881591796875,
0.0190887451171875,
-0.07781982421875,
0.0179290771484375,
0.0364990234375,
0.052825927734375,
0.0099945068359375,
-0.0160064697265625,
-0.0308380126953125,
0.014678955078125,
-0.026336669921875,
0.038818359375,
-0.0083160400390625,
-0.04437255859375,
-0.0092620849609375,
0.0123748779296875,
-0.006671905517578125,
-0.054046630859375,
0.041473388671875,
-0.0250396728515625,
0.0302276611328125,
-0.0160369873046875,
-0.033050537109375,
-0.0229949951171875,
0.007694244384765625,
-0.041748046875,
0.09625244140625,
0.0177154541015625,
-0.06085205078125,
-0.006977081298828125,
-0.050140380859375,
-0.032562255859375,
-0.0144805908203125,
-0.01546478271484375,
-0.029541015625,
0.020416259765625,
0.02398681640625,
0.0296630859375,
-0.03936767578125,
0.0249481201171875,
0.0024166107177734375,
-0.0255279541015625,
0.0377197265625,
-0.06378173828125,
0.07635498046875,
0.0186309814453125,
-0.06036376953125,
0.0220184326171875,
-0.054443359375,
-0.006587982177734375,
0.00926971435546875,
-0.01201629638671875,
-0.0004949569702148438,
-0.028076171875,
0.004016876220703125,
0.0184326171875,
0.040069580078125,
-0.015960693359375,
0.01149749755859375,
-0.0374755859375,
0.03863525390625,
0.060760498046875,
0.0100860595703125,
0.03314208984375,
-0.0283966064453125,
0.0413818359375,
0.0290069580078125,
0.034576416015625,
-0.02490234375,
-0.03759765625,
-0.0965576171875,
-0.0148162841796875,
0.0009217262268066406,
0.048675537109375,
-0.06805419921875,
0.041168212890625,
-0.0167388916015625,
-0.052459716796875,
-0.0477294921875,
0.00516510009765625,
0.033782958984375,
0.0396728515625,
0.03826904296875,
0.002162933349609375,
-0.031585693359375,
-0.06512451171875,
0.0050048828125,
-0.015533447265625,
0.022735595703125,
0.00865936279296875,
0.016693115234375,
-0.028228759765625,
0.06634521484375,
-0.039947509765625,
-0.018951416015625,
-0.026885986328125,
0.0027256011962890625,
0.031646728515625,
0.0360107421875,
0.0285797119140625,
-0.053863525390625,
-0.037322998046875,
0.0102996826171875,
-0.05645751953125,
-0.01541900634765625,
-0.00676727294921875,
-0.023223876953125,
0.01247406005859375,
0.04034423828125,
-0.055572509765625,
0.042633056640625,
0.0262298583984375,
-0.042266845703125,
0.0355224609375,
-0.0181884765625,
0.015625,
-0.1160888671875,
-0.004634857177734375,
0.00986480712890625,
-0.005176544189453125,
-0.0494384765625,
0.00177001953125,
0.01122283935546875,
0.007457733154296875,
-0.050628662109375,
0.06298828125,
-0.044036865234375,
0.033203125,
-0.0258941650390625,
-0.02850341796875,
0.011688232421875,
0.050018310546875,
-0.01056671142578125,
0.059783935546875,
0.042755126953125,
-0.0528564453125,
0.034942626953125,
0.01171875,
-0.01026153564453125,
0.025115966796875,
-0.0693359375,
-0.0002684593200683594,
-0.004241943359375,
0.0245819091796875,
-0.07073974609375,
-0.01097869873046875,
0.0435791015625,
-0.042205810546875,
0.0249176025390625,
-0.0024967193603515625,
-0.035919189453125,
-0.0291595458984375,
-0.0149383544921875,
0.03167724609375,
0.045135498046875,
-0.05206298828125,
0.054779052734375,
0.01346588134765625,
-0.003833770751953125,
-0.039031982421875,
-0.057373046875,
-0.007030487060546875,
-0.0145416259765625,
-0.039215087890625,
0.02276611328125,
0.00060272216796875,
-0.00785064697265625,
-0.012420654296875,
-0.0083160400390625,
-0.01348876953125,
0.0004863739013671875,
0.051116943359375,
0.022735595703125,
-0.01369476318359375,
-0.01416015625,
0.043121337890625,
-0.0071563720703125,
0.01026153564453125,
-0.0099639892578125,
0.06329345703125,
-0.0053558349609375,
-0.01198577880859375,
-0.058441162109375,
0.0078125,
0.046112060546875,
-0.02911376953125,
0.0513916015625,
0.07421875,
-0.0248260498046875,
-0.01380157470703125,
-0.0438232421875,
-0.0004138946533203125,
-0.042633056640625,
0.03326416015625,
-0.03228759765625,
-0.05743408203125,
0.037689208984375,
0.0178985595703125,
0.0122833251953125,
0.046875,
0.064453125,
0.0134429931640625,
0.063232421875,
0.0297698974609375,
0.00011116266250610352,
0.044769287109375,
-0.047882080078125,
0.0085296630859375,
-0.06005859375,
-0.032867431640625,
-0.0306396484375,
0.001293182373046875,
-0.0244598388671875,
-0.05072021484375,
0.0426025390625,
0.01541900634765625,
-0.036224365234375,
0.024383544921875,
-0.056396484375,
0.00827789306640625,
0.05987548828125,
0.00507354736328125,
0.003971099853515625,
0.00701904296875,
-0.0100250244140625,
0.0160369873046875,
-0.051605224609375,
-0.0294952392578125,
0.059967041015625,
0.034942626953125,
0.07330322265625,
0.018798828125,
0.058563232421875,
-0.000667572021484375,
0.0118408203125,
-0.052886962890625,
0.034271240234375,
0.00261688232421875,
-0.034698486328125,
-0.01532745361328125,
-0.033843994140625,
-0.081787109375,
0.0259246826171875,
0.0029850006103515625,
-0.04931640625,
0.0305328369140625,
0.01348876953125,
-0.044677734375,
-0.0028438568115234375,
-0.07794189453125,
0.07232666015625,
-0.0205078125,
-0.0151519775390625,
0.007564544677734375,
-0.035919189453125,
0.032257080078125,
0.018463134765625,
0.005367279052734375,
0.01302337646484375,
0.0004589557647705078,
0.059112548828125,
-0.0438232421875,
0.0687255859375,
-0.01104736328125,
-0.0241546630859375,
0.032379150390625,
-0.00922393798828125,
0.02099609375,
0.017120361328125,
0.00015795230865478516,
0.0076446533203125,
0.0203857421875,
-0.0096435546875,
-0.05572509765625,
0.059112548828125,
-0.0723876953125,
-0.056060791015625,
-0.034820556640625,
-0.027008056640625,
0.011932373046875,
0.01251983642578125,
0.062347412109375,
0.038116455078125,
-0.00981903076171875,
-0.003265380859375,
0.057159423828125,
-0.02056884765625,
0.046173095703125,
0.02423095703125,
-0.022796630859375,
-0.05389404296875,
0.0706787109375,
0.007568359375,
0.012237548828125,
0.042022705078125,
0.0103912353515625,
-0.021820068359375,
-0.002071380615234375,
-0.036712646484375,
0.00290679931640625,
-0.046905517578125,
-0.03057861328125,
-0.057373046875,
-0.030670166015625,
-0.0565185546875,
0.00608062744140625,
-0.028106689453125,
-0.0244598388671875,
-0.050048828125,
0.00748443603515625,
0.031707763671875,
0.041778564453125,
0.0106964111328125,
0.04949951171875,
-0.0589599609375,
0.038665771484375,
0.018829345703125,
-0.0201263427734375,
0.02239990234375,
-0.06951904296875,
-0.03228759765625,
0.01556396484375,
-0.045562744140625,
-0.07281494140625,
0.0404052734375,
-0.0009965896606445312,
0.036834716796875,
0.048828125,
0.0006279945373535156,
0.054962158203125,
-0.02642822265625,
0.06756591796875,
0.0269775390625,
-0.07781982421875,
0.042938232421875,
-0.003292083740234375,
0.04644775390625,
0.0253143310546875,
0.0099029541015625,
-0.042724609375,
-0.0259246826171875,
-0.049468994140625,
-0.07598876953125,
0.0418701171875,
0.01363372802734375,
0.02081298828125,
-0.02618408203125,
0.01128387451171875,
0.0021800994873046875,
0.006008148193359375,
-0.05218505859375,
-0.04608154296875,
-0.0252685546875,
-0.036865234375,
0.0135955810546875,
-0.022064208984375,
0.004749298095703125,
-0.035736083984375,
0.0635986328125,
0.0138397216796875,
0.0345458984375,
0.0202178955078125,
-0.006351470947265625,
0.00789642333984375,
0.01483917236328125,
0.044708251953125,
0.028594970703125,
0.004642486572265625,
0.00797271728515625,
0.0117340087890625,
-0.05126953125,
0.02301025390625,
0.0198822021484375,
-0.01885986328125,
0.0175628662109375,
0.0150299072265625,
0.08477783203125,
0.00146484375,
-0.02838134765625,
0.04443359375,
-0.0232696533203125,
-0.0026988983154296875,
-0.046356201171875,
0.03106689453125,
0.005764007568359375,
0.026947021484375,
0.037017822265625,
-0.01285552978515625,
0.01084136962890625,
-0.024932861328125,
-0.01053619384765625,
0.0245513916015625,
-0.029541015625,
-0.01428985595703125,
0.061676025390625,
0.006183624267578125,
-0.0217132568359375,
0.03521728515625,
-0.024749755859375,
-0.039825439453125,
0.057708740234375,
0.0537109375,
0.069091796875,
-0.027801513671875,
0.01116943359375,
0.0297393798828125,
0.02081298828125,
-0.0159912109375,
0.026092529296875,
-0.0035228729248046875,
-0.037872314453125,
0.0006165504455566406,
-0.04571533203125,
0.0009369850158691406,
0.01354217529296875,
-0.0545654296875,
0.0299835205078125,
-0.0413818359375,
-0.031280517578125,
-0.007144927978515625,
-0.01493072509765625,
-0.057159423828125,
0.0160675048828125,
-0.0008478164672851562,
0.06787109375,
-0.045013427734375,
0.061279296875,
0.056243896484375,
-0.040740966796875,
-0.07781982421875,
-0.0024204254150390625,
-0.01369476318359375,
-0.05645751953125,
0.04156494140625,
0.01419830322265625,
0.00550079345703125,
0.0161285400390625,
-0.049224853515625,
-0.05804443359375,
0.093994140625,
0.0214996337890625,
-0.03851318359375,
-0.0196380615234375,
0.00388336181640625,
0.0306549072265625,
-0.007335662841796875,
0.04638671875,
0.031585693359375,
0.0179290771484375,
0.00896453857421875,
-0.07574462890625,
0.01184844970703125,
-0.03631591796875,
0.017303466796875,
0.0035400390625,
-0.0643310546875,
0.07623291015625,
-0.01294708251953125,
-0.0167388916015625,
0.0269775390625,
0.08245849609375,
0.0180816650390625,
0.01348876953125,
0.01441192626953125,
0.060394287109375,
0.04534912109375,
0.0020732879638671875,
0.06549072265625,
-0.036163330078125,
0.0274200439453125,
0.0950927734375,
0.0110931396484375,
0.056365966796875,
0.036773681640625,
-0.01009368896484375,
0.032928466796875,
0.05157470703125,
-0.00774383544921875,
0.032135009765625,
0.0169677734375,
-0.019927978515625,
0.00982666015625,
-0.00739288330078125,
-0.049346923828125,
0.0274810791015625,
0.0274810791015625,
-0.048431396484375,
-0.002223968505859375,
0.00550079345703125,
0.0138702392578125,
-0.02557373046875,
-0.018096923828125,
0.05975341796875,
0.016876220703125,
-0.052459716796875,
0.0748291015625,
0.024566650390625,
0.056854248046875,
-0.03424072265625,
-0.01468658447265625,
-0.034332275390625,
0.00630950927734375,
-0.01418304443359375,
-0.0322265625,
-0.022857666015625,
-0.0034332275390625,
-0.0264892578125,
0.0167694091796875,
0.024322509765625,
-0.0411376953125,
-0.052978515625,
-0.00949859619140625,
0.034515380859375,
0.00818634033203125,
-0.004383087158203125,
-0.05120849609375,
0.0168914794921875,
0.0086669921875,
-0.0271453857421875,
0.001209259033203125,
0.05615234375,
-0.0030364990234375,
0.04644775390625,
0.04046630859375,
-0.013641357421875,
0.0297698974609375,
0.016143798828125,
0.06365966796875,
-0.05072021484375,
-0.043060302734375,
-0.07135009765625,
0.042724609375,
0.0028133392333984375,
-0.043731689453125,
0.060516357421875,
0.0556640625,
0.0556640625,
-0.00931549072265625,
0.05908203125,
-0.00893402099609375,
0.00260162353515625,
-0.037261962890625,
0.05364990234375,
-0.0308380126953125,
0.0222930908203125,
-0.00830078125,
-0.06768798828125,
0.0115814208984375,
0.05743408203125,
-0.0079498291015625,
0.01004791259765625,
0.04901123046875,
0.0859375,
-0.0090789794921875,
-0.01654052734375,
0.01715087890625,
0.029541015625,
0.0262908935546875,
0.044219970703125,
0.06146240234375,
-0.05584716796875,
0.0281219482421875,
-0.02752685546875,
-0.026092529296875,
-0.0066375732421875,
-0.020660400390625,
-0.07763671875,
-0.047119140625,
-0.015960693359375,
-0.048828125,
-0.0063629150390625,
0.09112548828125,
0.036224365234375,
-0.0465087890625,
-0.025054931640625,
-0.003490447998046875,
-0.000029981136322021484,
-0.0191650390625,
-0.020660400390625,
0.03253173828125,
-0.0285186767578125,
-0.0621337890625,
0.0174407958984375,
0.0106964111328125,
0.0248565673828125,
-0.022369384765625,
-0.00678253173828125,
0.0008401870727539062,
0.00801849365234375,
0.036376953125,
0.0164337158203125,
-0.06085205078125,
0.0212249755859375,
0.00815582275390625,
-0.03216552734375,
-0.0058441162109375,
0.03424072265625,
-0.042633056640625,
0.0229644775390625,
0.020477294921875,
0.033203125,
0.0374755859375,
-0.0055389404296875,
0.031829833984375,
-0.0292510986328125,
0.0196075439453125,
-0.003597259521484375,
0.025360107421875,
0.0150299072265625,
-0.035003662109375,
0.01561737060546875,
0.0025501251220703125,
-0.033660888671875,
-0.056365966796875,
-0.00865936279296875,
-0.08392333984375,
-0.0169830322265625,
0.110107421875,
-0.0033168792724609375,
-0.044158935546875,
0.00998687744140625,
-0.04754638671875,
0.045074462890625,
-0.0445556640625,
0.04974365234375,
0.0262451171875,
-0.0017938613891601562,
-0.015716552734375,
-0.0216217041015625,
0.033660888671875,
0.0284881591796875,
-0.056549072265625,
-0.0103302001953125,
0.027618408203125,
0.00940704345703125,
0.00479888916015625,
0.053375244140625,
0.008087158203125,
0.034942626953125,
0.0014657974243164062,
0.0158843994140625,
-0.017120361328125,
-0.0109405517578125,
-0.0269775390625,
-0.006694793701171875,
0.00543212890625,
-0.032928466796875
]
] |
TheBlake/Llama-2-7b | 2023-09-27T20:11:56.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBlake | null | null | TheBlake/Llama-2-7b | 0 | 2 | transformers | 2023-09-27T20:11:55 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B Chat
arxiv: 2307.09288
base_model: meta-llama/Llama-2-7b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpful, respectful and honest assistant. Always answer as helpfully as
possible, while being safe. Your answers should not include any harmful, unethical,
racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses
are socially unbiased and positive in nature. If a question does not make any sense,
or is not factually coherent, explain why instead of answering something not correct.
If you don''t know the answer to a question, please don''t share false information.
<</SYS>>
{prompt}[/INST]
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
</div>
<div style="display: flex; flex-direction: column; align-items: flex-end;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# Llama 2 7B Chat - GPTQ
- Model creator: [Meta Llama 2](https://huggingface.co/meta-llama)
- Original model: [Llama 2 7B Chat](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
<!-- description start -->
## Description
This repo contains GPTQ model files for [Meta Llama 2's Llama 2 7B Chat](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them.
<!-- description end -->
<!-- repositories-available start -->
## Repositories available
* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Llama-2-7b-Chat-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GGUF)
* [Meta Llama 2's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
<!-- repositories-available end -->
<!-- prompt-template start -->
## Prompt template: Llama-2-Chat
```
[INST] <<SYS>>
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
<</SYS>>
{prompt}[/INST]
```
<!-- prompt-template end -->
<!-- README_GPTQ.md-provided-files start -->
## Provided files and GPTQ parameters
Multiple quantisation parameters are provided, to allow you to choose the best one for your hardware and requirements.
Each separate quant is in a different branch. See below for instructions on fetching from different branches.
All recent GPTQ files are made with AutoGPTQ, and all files in non-main branches are made with AutoGPTQ. Files in the `main` branch which were uploaded before August 2023 were made with GPTQ-for-LLaMa.
<details>
<summary>Explanation of GPTQ parameters</summary>
- Bits: The bit size of the quantised model.
- GS: GPTQ group size. Higher numbers use less VRAM, but have lower quantisation accuracy. "None" is the lowest possible value.
- Act Order: True or False. Also known as `desc_act`. True results in better quantisation accuracy. Some GPTQ clients have had issues with models that use Act Order plus Group Size, but this is generally resolved now.
- Damp %: A GPTQ parameter that affects how samples are processed for quantisation. 0.01 is default, but 0.1 results in slightly better accuracy.
- GPTQ dataset: The dataset used for quantisation. Using a dataset more appropriate to the model's training can improve quantisation accuracy. Note that the GPTQ dataset is not the same as the dataset used to train the model - please refer to the original model repo for details of the training dataset(s).
- Sequence Length: The length of the dataset sequences used for quantisation. Ideally this is the same as the model sequence length. For some very long sequence models (16+K), a lower sequence length may have to be used. Note that a lower sequence length does not limit the sequence length of the quantised model. It only impacts the quantisation accuracy on longer inference sequences.
- ExLlama Compatibility: Whether this file can be loaded with ExLlama, which currently only supports Llama models in 4-bit.
</details>
| Branch | Bits | GS | Act Order | Damp % | GPTQ Dataset | Seq Len | Size | ExLlama | Desc |
| ------ | ---- | -- | --------- | ------ | ------------ | ------- | ---- | ------- | ---- |
| [gptq-4bit-64g-actorder_True](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ/tree/gptq-4bit-64g-actorder_True) | 4 | 64 | Yes | 0.01 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 4096 | 4.02 GB | Yes | 4-bit, with Act Order and group size 64g. Uses less VRAM than 32g, but with slightly lower accuracy. |
| [gptq-4bit-32g-actorder_True](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ/tree/gptq-4bit-32g-actorder_True) | 4 | 32 | Yes | 0.01 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 4096 | 4.28 GB | Yes | 4-bit, with Act Order and group size 32g. Gives highest possible inference quality, with maximum VRAM usage. |
| [gptq-4bit-128g-actorder_True](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ/tree/gptq-4bit-128g-actorder_True) | 4 | 128 | Yes | 0.01 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 4096 | 3.90 GB | Yes | 4-bit, with Act Order and group size 128g. Uses even less VRAM than 64g, but with slightly lower accuracy. |
| [main](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ/tree/main) | 4 | 128 | No | 0.01 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 4096 | 3.90 GB | Yes | 4-bit, without Act Order and group size 128g. |
<!-- README_GPTQ.md-provided-files end -->
<!-- README_GPTQ.md-download-from-branches start -->
## How to download from branches
- In text-generation-webui, you can add `:branch` to the end of the download name, eg `TheBloke/Llama-2-7b-Chat-GPTQ:gptq-4bit-64g-actorder_True`
- With Git, you can clone a branch with:
```
git clone --single-branch --branch gptq-4bit-64g-actorder_True https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ
```
- In Python Transformers code, the branch is the `revision` parameter; see below.
<!-- README_GPTQ.md-download-from-branches end -->
<!-- README_GPTQ.md-text-generation-webui start -->
## How to easily download and use this model in [text-generation-webui](https://github.com/oobabooga/text-generation-webui).
Please make sure you're using the latest version of [text-generation-webui](https://github.com/oobabooga/text-generation-webui).
It is strongly recommended to use the text-generation-webui one-click-installers unless you're sure you know how to make a manual install.
1. Click the **Model tab**.
2. Under **Download custom model or LoRA**, enter `TheBloke/Llama-2-7b-Chat-GPTQ`.
- To download from a specific branch, enter for example `TheBloke/Llama-2-7b-Chat-GPTQ:gptq-4bit-64g-actorder_True`
- see Provided Files above for the list of branches for each option.
3. Click **Download**.
4. The model will start downloading. Once it's finished it will say "Done".
5. In the top left, click the refresh icon next to **Model**.
6. In the **Model** dropdown, choose the model you just downloaded: `Llama-2-7b-Chat-GPTQ`
7. The model will automatically load, and is now ready for use!
8. If you want any custom settings, set them and then click **Save settings for this model** followed by **Reload the Model** in the top right.
* Note that you do not need to and should not set manual GPTQ parameters any more. These are set automatically from the file `quantize_config.json`.
9. Once you're ready, click the **Text Generation tab** and enter a prompt to get started!
<!-- README_GPTQ.md-text-generation-webui end -->
<!-- README_GPTQ.md-use-from-python start -->
## How to use this GPTQ model from Python code
### Install the necessary packages
Requires: Transformers 4.32.0 or later, Optimum 1.12.0 or later, and AutoGPTQ 0.4.2 or later.
```shell
pip3 install transformers>=4.32.0 optimum>=1.12.0
pip3 install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ # Use cu117 if on CUDA 11.7
```
If you have problems installing AutoGPTQ using the pre-built wheels, install it from source instead:
```shell
pip3 uninstall -y auto-gptq
git clone https://github.com/PanQiWei/AutoGPTQ
cd AutoGPTQ
pip3 install .
```
### For CodeLlama models only: you must use Transformers 4.33.0 or later.
If 4.33.0 is not yet released when you read this, you will need to install Transformers from source:
```shell
pip3 uninstall -y transformers
pip3 install git+https://github.com/huggingface/transformers.git
```
### You can then use the following code
```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
model_name_or_path = "TheBloke/Llama-2-7b-Chat-GPTQ"
# To use a different branch, change revision
# For example: revision="gptq-4bit-64g-actorder_True"
model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
device_map="auto",
trust_remote_code=False,
revision="main")
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
prompt = "Tell me about AI"
prompt_template=f'''[INST] <<SYS>>
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
<</SYS>>
{prompt}[/INST]
'''
print("\n\n*** Generate:")
input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()
output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=512)
print(tokenizer.decode(output[0]))
# Inference can also be done using transformers' pipeline
print("*** Pipeline:")
pipe = pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
max_new_tokens=512,
do_sample=True,
temperature=0.7,
top_p=0.95,
top_k=40,
repetition_penalty=1.1
)
print(pipe(prompt_template)[0]['generated_text'])
```
<!-- README_GPTQ.md-use-from-python end -->
<!-- README_GPTQ.md-compatibility start -->
## Compatibility
The files provided are tested to work with AutoGPTQ, both via Transformers and using AutoGPTQ directly. They should also work with [Occ4m's GPTQ-for-LLaMa fork](https://github.com/0cc4m/KoboldAI).
[ExLlama](https://github.com/turboderp/exllama) is compatible with Llama models in 4-bit. Please see the Provided Files table above for per-file compatibility.
[Huggingface Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference) is compatible with all GPTQ models.
<!-- README_GPTQ.md-compatibility end -->
<!-- footer start -->
<!-- 200823 -->
## Discord
For further support, and discussions on these models and AI in general, join us at:
[TheBloke AI's Discord server](https://discord.gg/theblokeai)
## Thanks, and how to contribute
Thanks to the [chirper.ai](https://chirper.ai) team!
Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
* Patreon: https://patreon.com/TheBlokeAI
* Ko-Fi: https://ko-fi.com/TheBlokeAI
**Special thanks to**: Aemon Algiz.
**Patreon special mentions**: Alicia Loh, Stephen Murray, K, Ajan Kanaga, RoA, Magnesian, Deo Leter, Olakabola, Eugene Pentland, zynix, Deep Realms, Raymond Fosdick, Elijah Stavena, Iucharbius, Erik Bjäreholt, Luis Javier Navarrete Lozano, Nicholas, theTransient, John Detwiler, alfie_i, knownsqashed, Mano Prime, Willem Michiel, Enrico Ros, LangChain4j, OG, Michael Dempsey, Pierre Kircher, Pedro Madruga, James Bentley, Thomas Belote, Luke @flexchar, Leonard Tan, Johann-Peter Hartmann, Illia Dulskyi, Fen Risland, Chadd, S_X, Jeff Scroggin, Ken Nordquist, Sean Connelly, Artur Olbinski, Swaroop Kallakuri, Jack West, Ai Maven, David Ziegler, Russ Johnson, transmissions 11, John Villwock, Alps Aficionado, Clay Pascal, Viktor Bowallius, Subspace Studios, Rainer Wilmers, Trenton Dambrowitz, vamX, Michael Levine, 준교 김, Brandon Frisco, Kalila, Trailburnt, Randy H, Talal Aujan, Nathan Dryer, Vadim, 阿明, ReadyPlayerEmma, Tiffany J. Kim, George Stoitzev, Spencer Kim, Jerry Meng, Gabriel Tamborski, Cory Kujawski, Jeffrey Morgan, Spiking Neurons AB, Edmond Seymore, Alexandros Triantafyllidis, Lone Striker, Cap'n Zoog, Nikolai Manek, danny, ya boyyy, Derek Yates, usrbinkat, Mandus, TL, Nathan LeClaire, subjectnull, Imad Khwaja, webtim, Raven Klaugh, Asp the Wyvern, Gabriel Puliatti, Caitlyn Gatomon, Joseph William Delisle, Jonathan Leane, Luke Pendergrass, SuperWojo, Sebastain Graf, Will Dee, Fred von Graf, Andrey, Dan Guido, Daniel P. Andersen, Nitin Borwankar, Elle, Vitor Caleffi, biorpg, jjj, NimbleBox.ai, Pieter, Matthew Berman, terasurfer, Michael Davis, Alex, Stanislav Ovsiannikov
Thank you to all my generous patrons and donaters!
And thank you again to a16z for their generous grant.
<!-- footer end -->
# Original model card: Meta Llama 2's Llama 2 7B Chat
# **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
## Model Details
*Note: Use of this model is governed by the Meta license. In order to download the model weights and tokenizer, please visit the [website](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) and accept our License before requesting access here.*
Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM.
**Model Developers** Meta
**Variations** Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations.
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture** Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align to human preferences for helpfulness and safety.
||Training Data|Params|Content Length|GQA|Tokens|LR|
|---|---|---|---|---|---|---|
|Llama 2|*A new mix of publicly available online data*|7B|4k|✗|2.0T|3.0 x 10<sup>-4</sup>|
|Llama 2|*A new mix of publicly available online data*|13B|4k|✗|2.0T|3.0 x 10<sup>-4</sup>|
|Llama 2|*A new mix of publicly available online data*|70B|4k|✔|2.0T|1.5 x 10<sup>-4</sup>|
*Llama 2 family of models.* Token counts refer to pretraining data only. All models are trained with a global batch-size of 4M tokens. Bigger models - 70B -- use Grouped-Query Attention (GQA) for improved inference scalability.
**Model Dates** Llama 2 was trained between January 2023 and July 2023.
**Status** This is a static model trained on an offline dataset. Future versions of the tuned models will be released as we improve model safety with community feedback.
**License** A custom commercial license is available at: [https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
**Research Paper** ["Llama-2: Open Foundation and Fine-tuned Chat Models"](arxiv.org/abs/2307.09288)
## Intended Use
**Intended Use Cases** Llama 2 is intended for commercial and research use in English. Tuned models are intended for assistant-like chat, whereas pretrained models can be adapted for a variety of natural language generation tasks.
To get the expected features and performance for the chat versions, a specific formatting needs to be followed, including the `INST` and `<<SYS>>` tags, `BOS` and `EOS` tokens, and the whitespaces and breaklines in between (we recommend calling `strip()` on inputs to avoid double-spaces). See our reference code in github for details: [`chat_completion`](https://github.com/facebookresearch/llama/blob/main/llama/generation.py#L212).
**Out-of-scope Uses** Use in any manner that violates applicable laws or regulations (including trade compliance laws).Use in languages other than English. Use in any other way that is prohibited by the Acceptable Use Policy and Licensing Agreement for Llama 2.
## Hardware and Software
**Training Factors** We used custom training libraries, Meta's Research Super Cluster, and production clusters for pretraining. Fine-tuning, annotation, and evaluation were also performed on third-party cloud compute.
**Carbon Footprint** Pretraining utilized a cumulative 3.3M GPU hours of computation on hardware of type A100-80GB (TDP of 350-400W). Estimated total emissions were 539 tCO2eq, 100% of which were offset by Meta’s sustainability program.
||Time (GPU hours)|Power Consumption (W)|Carbon Emitted(tCO<sub>2</sub>eq)|
|---|---|---|---|
|Llama 2 7B|184320|400|31.22|
|Llama 2 13B|368640|400|62.44|
|Llama 2 70B|1720320|400|291.42|
|Total|3311616||539.00|
**CO<sub>2</sub> emissions during pretraining.** Time: total GPU time required for training each model. Power Consumption: peak power capacity per GPU device for the GPUs used adjusted for power usage efficiency. 100% of the emissions are directly offset by Meta's sustainability program, and because we are openly releasing these models, the pretraining costs do not need to be incurred by others.
## Training Data
**Overview** Llama 2 was pretrained on 2 trillion tokens of data from publicly available sources. The fine-tuning data includes publicly available instruction datasets, as well as over one million new human-annotated examples. Neither the pretraining nor the fine-tuning datasets include Meta user data.
**Data Freshness** The pretraining data has a cutoff of September 2022, but some tuning data is more recent, up to July 2023.
## Evaluation Results
In this section, we report the results for the Llama 1 and Llama 2 models on standard academic benchmarks.For all the evaluations, we use our internal evaluations library.
|Model|Size|Code|Commonsense Reasoning|World Knowledge|Reading Comprehension|Math|MMLU|BBH|AGI Eval|
|---|---|---|---|---|---|---|---|---|---|
|Llama 1|7B|14.1|60.8|46.2|58.5|6.95|35.1|30.3|23.9|
|Llama 1|13B|18.9|66.1|52.6|62.3|10.9|46.9|37.0|33.9|
|Llama 1|33B|26.0|70.0|58.4|67.6|21.4|57.8|39.8|41.7|
|Llama 1|65B|30.7|70.7|60.5|68.6|30.8|63.4|43.5|47.6|
|Llama 2|7B|16.8|63.9|48.9|61.3|14.6|45.3|32.6|29.3|
|Llama 2|13B|24.5|66.9|55.4|65.8|28.7|54.8|39.4|39.1|
|Llama 2|70B|**37.5**|**71.9**|**63.6**|**69.4**|**35.2**|**68.9**|**51.2**|**54.2**|
**Overall performance on grouped academic benchmarks.** *Code:* We report the average pass@1 scores of our models on HumanEval and MBPP. *Commonsense Reasoning:* We report the average of PIQA, SIQA, HellaSwag, WinoGrande, ARC easy and challenge, OpenBookQA, and CommonsenseQA. We report 7-shot results for CommonSenseQA and 0-shot results for all other benchmarks. *World Knowledge:* We evaluate the 5-shot performance on NaturalQuestions and TriviaQA and report the average. *Reading Comprehension:* For reading comprehension, we report the 0-shot average on SQuAD, QuAC, and BoolQ. *MATH:* We report the average of the GSM8K (8 shot) and MATH (4 shot) benchmarks at top 1.
|||TruthfulQA|Toxigen|
|---|---|---|---|
|Llama 1|7B|27.42|23.00|
|Llama 1|13B|41.74|23.08|
|Llama 1|33B|44.19|22.57|
|Llama 1|65B|48.71|21.77|
|Llama 2|7B|33.29|**21.25**|
|Llama 2|13B|41.86|26.10|
|Llama 2|70B|**50.18**|24.60|
**Evaluation of pretrained LLMs on automatic safety benchmarks.** For TruthfulQA, we present the percentage of generations that are both truthful and informative (the higher the better). For ToxiGen, we present the percentage of toxic generations (the smaller the better).
|||TruthfulQA|Toxigen|
|---|---|---|---|
|Llama-2-Chat|7B|57.04|**0.00**|
|Llama-2-Chat|13B|62.18|**0.00**|
|Llama-2-Chat|70B|**64.14**|0.01|
**Evaluation of fine-tuned LLMs on different safety datasets.** Same metric definitions as above.
## Ethical Considerations and Limitations
Llama 2 is a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2, developers should perform safety testing and tuning tailored to their specific applications of the model.
Please see the Responsible Use Guide available at [https://ai.meta.com/llama/responsible-use-guide/](https://ai.meta.com/llama/responsible-use-guide)
## Reporting Issues
Please report any software “bug,” or other problems with the models through one of the following means:
- Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)
- Reporting problematic content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
- Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
## Llama Model Index
|Model|Llama2|Llama2-hf|Llama2-chat|Llama2-chat-hf|
|---|---|---|---|---|
|7B| [Link](https://huggingface.co/llamaste/Llama-2-7b) | [Link](https://huggingface.co/llamaste/Llama-2-7b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-7b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-7b-chat-hf)|
|13B| [Link](https://huggingface.co/llamaste/Llama-2-13b) | [Link](https://huggingface.co/llamaste/Llama-2-13b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-13b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-13b-hf)|
|70B| [Link](https://huggingface.co/llamaste/Llama-2-70b) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-70b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf)|
| 25,013 | [
[
-0.038299560546875,
-0.06451416015625,
0.01190948486328125,
0.026336669921875,
-0.0300750732421875,
-0.0013055801391601562,
0.008697509765625,
-0.0462646484375,
0.022186279296875,
0.0257720947265625,
-0.0543212890625,
-0.033721923828125,
-0.0318603515625,
0.000005841255187988281,
-0.0282745361328125,
0.08148193359375,
0.01012420654296875,
-0.0313720703125,
-0.006595611572265625,
-0.007732391357421875,
-0.026214599609375,
-0.030487060546875,
-0.054656982421875,
-0.021881103515625,
0.0283355712890625,
0.017059326171875,
0.059417724609375,
0.040069580078125,
0.0207977294921875,
0.02703857421875,
-0.01442718505859375,
0.00289154052734375,
-0.047271728515625,
-0.005077362060546875,
0.0139923095703125,
-0.0229034423828125,
-0.054534912109375,
0.006374359130859375,
0.025177001953125,
0.005863189697265625,
-0.0294952392578125,
0.0201416015625,
0.0033397674560546875,
0.043609619140625,
-0.033203125,
0.018035888671875,
-0.036163330078125,
-0.0032958984375,
-0.00873565673828125,
0.004913330078125,
-0.0039825439453125,
-0.03094482421875,
0.005634307861328125,
-0.0654296875,
-0.0014524459838867188,
-0.0051116943359375,
0.08953857421875,
0.01227569580078125,
-0.04888916015625,
0.00658416748046875,
-0.0338134765625,
0.049957275390625,
-0.07110595703125,
0.0191802978515625,
0.04229736328125,
0.020233154296875,
-0.0249481201171875,
-0.06683349609375,
-0.04595947265625,
-0.00482177734375,
-0.006801605224609375,
0.0152435302734375,
-0.041595458984375,
0.001148223876953125,
0.02587890625,
0.047119140625,
-0.0577392578125,
-0.005924224853515625,
-0.0269317626953125,
-0.01392364501953125,
0.063720703125,
0.01287841796875,
0.02685546875,
-0.01776123046875,
-0.024139404296875,
-0.03009033203125,
-0.05572509765625,
0.0024127960205078125,
0.0283355712890625,
0.00022470951080322266,
-0.052764892578125,
0.0360107421875,
-0.0274200439453125,
0.0282135009765625,
0.016815185546875,
-0.0228729248046875,
0.0276031494140625,
-0.039306640625,
-0.0300140380859375,
-0.03289794921875,
0.092529296875,
0.033477783203125,
-0.012481689453125,
0.022613525390625,
0.0021610260009765625,
-0.003803253173828125,
0.00223541259765625,
-0.07354736328125,
-0.0281829833984375,
0.034881591796875,
-0.038421630859375,
-0.02886962890625,
-0.019500732421875,
-0.0550537109375,
-0.006927490234375,
-0.00106048583984375,
0.0291595458984375,
-0.031280517578125,
-0.034088134765625,
0.003459930419921875,
-0.0243682861328125,
0.036102294921875,
0.0287628173828125,
-0.058685302734375,
0.033416748046875,
0.027191162109375,
0.05419921875,
0.009185791015625,
-0.0088653564453125,
-0.0109710693359375,
0.006740570068359375,
-0.006160736083984375,
0.044158935546875,
-0.01155853271484375,
-0.0419921875,
-0.021697998046875,
0.01788330078125,
0.01189422607421875,
-0.0224761962890625,
0.03375244140625,
-0.023895263671875,
0.02667236328125,
-0.03436279296875,
-0.035308837890625,
-0.03082275390625,
0.01131439208984375,
-0.044586181640625,
0.09246826171875,
0.0275115966796875,
-0.06243896484375,
0.0076904296875,
-0.04412841796875,
-0.015472412109375,
-0.005199432373046875,
0.0023326873779296875,
-0.0401611328125,
-0.01322174072265625,
0.0180511474609375,
0.0245513916015625,
-0.028961181640625,
0.00730133056640625,
-0.02703857421875,
-0.0220794677734375,
0.0172271728515625,
-0.039947509765625,
0.09210205078125,
0.01294708251953125,
-0.032806396484375,
-0.0070648193359375,
-0.055023193359375,
0.003875732421875,
0.039306640625,
-0.02301025390625,
0.0002732276916503906,
-0.00328826904296875,
0.0010280609130859375,
0.0051422119140625,
0.0250091552734375,
-0.02886962890625,
0.03607177734375,
-0.0150146484375,
0.048553466796875,
0.052947998046875,
0.00579833984375,
0.02105712890625,
-0.0362548828125,
0.03387451171875,
0.0032806396484375,
0.04486083984375,
0.00714874267578125,
-0.059539794921875,
-0.0601806640625,
-0.0189208984375,
0.018463134765625,
0.050933837890625,
-0.049591064453125,
0.0401611328125,
-0.0090179443359375,
-0.06085205078125,
-0.0255126953125,
-0.0008988380432128906,
0.0238800048828125,
0.0203704833984375,
0.0290985107421875,
-0.038909912109375,
-0.035247802734375,
-0.063720703125,
0.01271820068359375,
-0.042236328125,
-0.00470733642578125,
0.03753662109375,
0.056671142578125,
-0.031768798828125,
0.05853271484375,
-0.049041748046875,
-0.00797271728515625,
-0.00540924072265625,
0.006343841552734375,
0.021240234375,
0.03900146484375,
0.05865478515625,
-0.05322265625,
-0.0347900390625,
-0.008758544921875,
-0.0531005859375,
-0.0102386474609375,
0.0015087127685546875,
-0.032867431640625,
0.0119476318359375,
-0.0044708251953125,
-0.08050537109375,
0.049896240234375,
0.04827880859375,
-0.03668212890625,
0.053497314453125,
-0.010284423828125,
0.00670623779296875,
-0.08319091796875,
0.0005550384521484375,
0.005054473876953125,
-0.0233154296875,
-0.038330078125,
0.006084442138671875,
-0.00812530517578125,
0.0179901123046875,
-0.03265380859375,
0.04669189453125,
-0.03692626953125,
-0.0000978708267211914,
-0.0007634162902832031,
0.0020599365234375,
0.02166748046875,
0.040008544921875,
-0.0190887451171875,
0.0640869140625,
0.03179931640625,
-0.038177490234375,
0.0445556640625,
0.0389404296875,
-0.0046234130859375,
0.019287109375,
-0.0660400390625,
0.0253143310546875,
0.0121002197265625,
0.038238525390625,
-0.076904296875,
-0.0220794677734375,
0.04443359375,
-0.040618896484375,
0.0243377685546875,
-0.0207366943359375,
-0.0272216796875,
-0.0294952392578125,
-0.04241943359375,
0.024627685546875,
0.0643310546875,
-0.0310516357421875,
0.03369140625,
0.037689208984375,
0.0011949539184570312,
-0.048553466796875,
-0.053741455078125,
-0.006130218505859375,
-0.022430419921875,
-0.04461669921875,
0.031341552734375,
-0.01177978515625,
-0.0103607177734375,
-0.00318145751953125,
0.0047454833984375,
-0.00832366943359375,
0.0027179718017578125,
0.026824951171875,
0.023681640625,
-0.007717132568359375,
-0.015899658203125,
0.0135650634765625,
0.00031566619873046875,
-0.003437042236328125,
-0.0106353759765625,
0.039642333984375,
-0.0139007568359375,
-0.009185791015625,
-0.03790283203125,
0.0191650390625,
0.034271240234375,
0.00362396240234375,
0.059967041015625,
0.055572509765625,
-0.0222015380859375,
0.0158233642578125,
-0.04644775390625,
-0.0106964111328125,
-0.03997802734375,
0.014801025390625,
-0.01184844970703125,
-0.05682373046875,
0.043060302734375,
0.025177001953125,
0.02178955078125,
0.05126953125,
0.040802001953125,
-0.004421234130859375,
0.06927490234375,
0.04095458984375,
-0.018463134765625,
0.041015625,
-0.0404052734375,
-0.01181793212890625,
-0.06463623046875,
-0.0171661376953125,
-0.02752685546875,
-0.0197601318359375,
-0.058074951171875,
-0.038177490234375,
0.0221405029296875,
0.01873779296875,
-0.054931640625,
0.0477294921875,
-0.0482177734375,
0.01474761962890625,
0.037017822265625,
0.0188140869140625,
0.022613525390625,
0.005859375,
0.00095367431640625,
0.0077056884765625,
-0.034149169921875,
-0.032318115234375,
0.08203125,
0.031463623046875,
0.052001953125,
0.0216522216796875,
0.04083251953125,
0.0072784423828125,
0.026611328125,
-0.039459228515625,
0.04669189453125,
0.0080718994140625,
-0.0496826171875,
-0.0220794677734375,
-0.0426025390625,
-0.0701904296875,
0.0194549560546875,
-0.0065460205078125,
-0.06640625,
0.0251922607421875,
0.00007480382919311523,
-0.0209197998046875,
0.0169677734375,
-0.046600341796875,
0.061553955078125,
-0.0089111328125,
-0.0194549560546875,
-0.006011962890625,
-0.050445556640625,
0.034454345703125,
0.012237548828125,
0.0050506591796875,
-0.0251312255859375,
-0.01971435546875,
0.059478759765625,
-0.06097412109375,
0.07177734375,
-0.01352691650390625,
-0.01300048828125,
0.04412841796875,
-0.004459381103515625,
0.046783447265625,
0.0109100341796875,
0.003467559814453125,
0.0328369140625,
0.0160369873046875,
-0.0276031494140625,
-0.030364990234375,
0.03851318359375,
-0.08331298828125,
-0.047149658203125,
-0.02435302734375,
-0.0305938720703125,
0.0036869049072265625,
-0.0035305023193359375,
0.034515380859375,
0.0175628662109375,
-0.00693511962890625,
0.002414703369140625,
0.04217529296875,
-0.030029296875,
0.031280517578125,
0.025543212890625,
-0.025970458984375,
-0.046356201171875,
0.0565185546875,
0.002063751220703125,
0.023193359375,
0.0210723876953125,
0.0052490234375,
-0.032440185546875,
-0.0287628173828125,
-0.05084228515625,
0.02703857421875,
-0.039947509765625,
-0.0355224609375,
-0.0457763671875,
-0.0279388427734375,
-0.0267486572265625,
0.0206146240234375,
-0.0283355712890625,
-0.048736572265625,
-0.043609619140625,
-0.004871368408203125,
0.077880859375,
0.0396728515625,
-0.01076507568359375,
0.03271484375,
-0.06243896484375,
0.020416259765625,
0.03680419921875,
0.00998687744140625,
0.0022068023681640625,
-0.058074951171875,
0.00304412841796875,
0.0261688232421875,
-0.053009033203125,
-0.07525634765625,
0.0439453125,
0.0185089111328125,
0.0302886962890625,
0.03179931640625,
0.004016876220703125,
0.0692138671875,
-0.0203399658203125,
0.07781982421875,
0.0193939208984375,
-0.0667724609375,
0.04364013671875,
-0.042633056640625,
0.0078277587890625,
0.025665283203125,
0.0369873046875,
-0.0303497314453125,
-0.021087646484375,
-0.052825927734375,
-0.05621337890625,
0.03265380859375,
0.040069580078125,
0.015777587890625,
0.00554656982421875,
0.04339599609375,
-0.00632476806640625,
0.01146697998046875,
-0.07073974609375,
-0.0433349609375,
-0.025970458984375,
-0.006023406982421875,
0.01383209228515625,
-0.01412200927734375,
-0.018341064453125,
-0.042877197265625,
0.0665283203125,
-0.0086822509765625,
0.056304931640625,
0.01515960693359375,
0.01236724853515625,
-0.0117340087890625,
0.012420654296875,
0.03082275390625,
0.04180908203125,
-0.00907135009765625,
-0.0213165283203125,
0.025421142578125,
-0.060150146484375,
0.02008056640625,
0.017303466796875,
-0.0090179443359375,
-0.0126495361328125,
0.0124359130859375,
0.063232421875,
0.0008101463317871094,
-0.027587890625,
0.041656494140625,
-0.023529052734375,
-0.022979736328125,
-0.02313232421875,
0.016387939453125,
0.0258941650390625,
0.03680419921875,
0.0294342041015625,
-0.0237274169921875,
0.0159759521484375,
-0.04498291015625,
0.0011444091796875,
0.036865234375,
-0.006053924560546875,
-0.026824951171875,
0.05841064453125,
0.0040740966796875,
-0.0017099380493164062,
0.0560302734375,
-0.0206298828125,
-0.032379150390625,
0.058746337890625,
0.04241943359375,
0.054840087890625,
-0.0136871337890625,
0.0230712890625,
0.037384033203125,
0.01251983642578125,
-0.006893157958984375,
0.0305938720703125,
-0.00042319297790527344,
-0.0462646484375,
-0.0298614501953125,
-0.04876708984375,
-0.0288543701171875,
0.0206298828125,
-0.049041748046875,
0.014495849609375,
-0.031768798828125,
-0.034515380859375,
-0.0206451416015625,
0.0212860107421875,
-0.03741455078125,
0.00930023193359375,
0.003391265869140625,
0.06787109375,
-0.05108642578125,
0.0621337890625,
0.037750244140625,
-0.034210205078125,
-0.073974609375,
-0.0198822021484375,
0.0175628662109375,
-0.055877685546875,
0.0150146484375,
0.00023555755615234375,
0.01788330078125,
-0.00206756591796875,
-0.06072998046875,
-0.0770263671875,
0.11529541015625,
0.0279998779296875,
-0.049835205078125,
-0.0089111328125,
0.0011701583862304688,
0.03082275390625,
-0.009033203125,
0.052825927734375,
0.04150390625,
0.0264129638671875,
0.0182037353515625,
-0.08184814453125,
0.0316162109375,
-0.035552978515625,
0.006450653076171875,
0.007427215576171875,
-0.08099365234375,
0.072509765625,
-0.00531768798828125,
-0.01385498046875,
0.022705078125,
0.051727294921875,
0.038604736328125,
-0.0019588470458984375,
0.031768798828125,
0.054595947265625,
0.05474853515625,
-0.0233917236328125,
0.0806884765625,
-0.01397705078125,
0.0421142578125,
0.0556640625,
-0.0011644363403320312,
0.06439208984375,
0.0187835693359375,
-0.056365966796875,
0.0550537109375,
0.07659912109375,
-0.005405426025390625,
0.03009033203125,
0.002193450927734375,
-0.0253753662109375,
-0.00463104248046875,
0.005828857421875,
-0.05438232421875,
0.01532745361328125,
0.031524658203125,
-0.01194000244140625,
0.006572723388671875,
-0.0166778564453125,
0.006092071533203125,
-0.053741455078125,
-0.004741668701171875,
0.05426025390625,
0.0258636474609375,
-0.01788330078125,
0.07073974609375,
-0.0081939697265625,
0.055419921875,
-0.043701171875,
-0.01515960693359375,
-0.032958984375,
-0.006916046142578125,
-0.0223846435546875,
-0.053985595703125,
0.01204681396484375,
-0.0056915283203125,
-0.0007872581481933594,
0.006549835205078125,
0.055999755859375,
-0.0092315673828125,
-0.0254974365234375,
0.0289154052734375,
0.037322998046875,
0.027740478515625,
-0.0036449432373046875,
-0.075439453125,
0.0250396728515625,
0.004161834716796875,
-0.053741455078125,
0.036590576171875,
0.024566650390625,
0.01385498046875,
0.06097412109375,
0.049530029296875,
-0.01285552978515625,
-0.0021533966064453125,
-0.01102447509765625,
0.0811767578125,
-0.053436279296875,
-0.020233154296875,
-0.06512451171875,
0.047393798828125,
-0.0099029541015625,
-0.0294952392578125,
0.05303955078125,
0.0307769775390625,
0.04705810546875,
0.00897979736328125,
0.049591064453125,
-0.0301971435546875,
0.012237548828125,
-0.02130126953125,
0.053375244140625,
-0.0537109375,
0.0186614990234375,
-0.03070068359375,
-0.05706787109375,
0.0024585723876953125,
0.06072998046875,
-0.002666473388671875,
0.01549530029296875,
0.02630615234375,
0.06671142578125,
0.0026302337646484375,
0.0138702392578125,
0.00954437255859375,
0.0309295654296875,
0.0172271728515625,
0.0635986328125,
0.06561279296875,
-0.0712890625,
0.049041748046875,
-0.0280914306640625,
-0.01751708984375,
-0.00606536865234375,
-0.06536865234375,
-0.06146240234375,
-0.03228759765625,
-0.038665771484375,
-0.04150390625,
-0.0036602020263671875,
0.06756591796875,
0.059722900390625,
-0.041656494140625,
-0.0284271240234375,
-0.0018014907836914062,
0.004917144775390625,
-0.01438140869140625,
-0.02008056640625,
0.0164642333984375,
0.0245208740234375,
-0.049468994140625,
0.0171661376953125,
0.0042724609375,
0.037017822265625,
-0.016387939453125,
-0.0191192626953125,
-0.0190887451171875,
0.0024013519287109375,
0.046722412109375,
0.036529541015625,
-0.048187255859375,
-0.01526641845703125,
-0.01265716552734375,
-0.0079345703125,
0.0210418701171875,
0.0137176513671875,
-0.056182861328125,
-0.010833740234375,
0.033294677734375,
0.0107879638671875,
0.0618896484375,
0.0007300376892089844,
0.0283203125,
-0.037567138671875,
0.01349639892578125,
-0.0028324127197265625,
0.026824951171875,
0.00899505615234375,
-0.039947509765625,
0.050445556640625,
0.02496337890625,
-0.049896240234375,
-0.054046630859375,
-0.0080108642578125,
-0.08392333984375,
-0.01136016845703125,
0.08929443359375,
-0.0130615234375,
-0.0253143310546875,
-0.0026798248291015625,
-0.0297698974609375,
0.0279083251953125,
-0.04254150390625,
0.03485107421875,
0.03253173828125,
-0.0173187255859375,
-0.02447509765625,
-0.051849365234375,
0.039276123046875,
0.00933074951171875,
-0.0733642578125,
-0.0026950836181640625,
0.035980224609375,
0.038909912109375,
0.00640106201171875,
0.0697021484375,
-0.00969696044921875,
0.0220184326171875,
0.00713348388671875,
0.0027675628662109375,
0.006816864013671875,
0.007694244384765625,
-0.0182037353515625,
-0.00881195068359375,
-0.0146331787109375,
-0.0011568069458007812
]
] |
tomantonyy/ppo-LunarLander-v2 | 2023-09-28T07:38:23.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | tomantonyy | null | null | tomantonyy/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-09-28T07:37:59 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 245.81 +/- 23.93
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 784 | [
[
-0.00023484230041503906,
-0.02716064453125,
0.017059326171875,
0.023345947265625,
-0.00606536865234375,
0.002735137939453125,
0.034454345703125,
-0.012115478515625,
0.019866943359375,
0.06500244140625,
-0.043212890625,
-0.035247802734375,
-0.0343017578125,
-0.01922607421875,
0.0017528533935546875,
0.06982421875,
0.0015935897827148438,
0.028167724609375,
0.00954437255859375,
-0.00704193115234375,
-0.018341064453125,
-0.0218658447265625,
-0.05206298828125,
-0.07147216796875,
0.011993408203125,
0.050201416015625,
0.054229736328125,
0.0242462158203125,
0.028106689453125,
0.0292205810546875,
-0.0176849365234375,
-0.0322265625,
-0.04132080078125,
-0.0012683868408203125,
-0.000614166259765625,
-0.044403076171875,
-0.0633544921875,
0.01415252685546875,
0.03961181640625,
0.004047393798828125,
-0.0198822021484375,
0.004917144775390625,
-0.0282745361328125,
0.031097412109375,
-0.037567138671875,
0.015777587890625,
-0.01535797119140625,
0.0017938613891601562,
0.007350921630859375,
0.01081085205078125,
-0.0259246826171875,
-0.00986480712890625,
0.020660400390625,
-0.0906982421875,
-0.00533294677734375,
-0.021514892578125,
0.09295654296875,
0.0093994140625,
-0.037994384765625,
0.0011854171752929688,
-0.0190277099609375,
0.034088134765625,
-0.027191162109375,
0.0103607177734375,
0.049163818359375,
0.036163330078125,
0.0031528472900390625,
-0.06915283203125,
-0.016387939453125,
-0.032623291015625,
0.0010671615600585938,
0.0316162109375,
0.0154876708984375,
0.0167236328125,
0.0150146484375,
0.0107574462890625,
-0.0240478515625,
0.0241241455078125,
-0.04608154296875,
-0.0239410400390625,
0.0355224609375,
0.0182342529296875,
0.00534820556640625,
-0.00782012939453125,
-0.03533935546875,
-0.01183319091796875,
-0.03143310546875,
0.0230560302734375,
0.0303955078125,
0.0128326416015625,
-0.05889892578125,
0.0657958984375,
-0.019073486328125,
0.031524658203125,
0.0303192138671875,
-0.0003750324249267578,
0.0487060546875,
0.0093994140625,
-0.00792694091796875,
-0.025970458984375,
0.039337158203125,
0.0675048828125,
0.00406646728515625,
0.005634307861328125,
-0.03369140625,
-0.018798828125,
0.0120391845703125,
-0.055511474609375,
-0.024932861328125,
0.03375244140625,
-0.01983642578125,
-0.048797607421875,
0.0350341796875,
-0.0418701171875,
-0.02508544921875,
-0.0006508827209472656,
0.0272216796875,
-0.04718017578125,
-0.041290283203125,
0.0043487548828125,
-0.032470703125,
0.050048828125,
0.00983428955078125,
-0.06329345703125,
0.0309295654296875,
0.04852294921875,
0.0660400390625,
0.041259765625,
-0.0479736328125,
-0.0491943359375,
0.0135040283203125,
-0.031494140625,
0.05523681640625,
0.0172576904296875,
-0.03375244140625,
0.02178955078125,
0.0003981590270996094,
0.01496124267578125,
-0.03570556640625,
0.0181732177734375,
-0.032989501953125,
0.02069091796875,
0.006561279296875,
-0.0308990478515625,
-0.0007753372192382812,
0.03253173828125,
-0.04571533203125,
0.0982666015625,
0.060394287109375,
-0.0399169921875,
0.0259857177734375,
-0.046173095703125,
-0.005298614501953125,
0.036407470703125,
0.017578125,
-0.05078125,
-0.0019855499267578125,
-0.0310516357421875,
0.01300811767578125,
0.004825592041015625,
0.003040313720703125,
-0.02630615234375,
-0.0268402099609375,
0.0055084228515625,
0.0567626953125,
0.06378173828125,
0.015625,
-0.002384185791015625,
0.0144195556640625,
-0.043670654296875,
-0.00995635986328125,
0.00634765625,
-0.0202789306640625,
-0.0110321044921875,
-0.0171661376953125,
0.037567138671875,
0.0171051025390625,
0.034027099609375,
-0.034393310546875,
0.0357666015625,
-0.039306640625,
0.014068603515625,
0.0498046875,
-0.00911712646484375,
0.055999755859375,
-0.0478515625,
0.023529052734375,
-0.01238250732421875,
0.0191497802734375,
0.01395416259765625,
-0.0253143310546875,
-0.045684814453125,
-0.036285400390625,
-0.002056121826171875,
0.058013916015625,
-0.08660888671875,
0.04913330078125,
0.015625,
-0.0548095703125,
-0.014678955078125,
-0.01074981689453125,
0.03643798828125,
0.018890380859375,
0.003299713134765625,
-0.006404876708984375,
-0.042510986328125,
-0.060699462890625,
0.017333984375,
-0.04833984375,
-0.01690673828125,
0.00007045269012451172,
0.047637939453125,
-0.0242462158203125,
0.058746337890625,
-0.0262603759765625,
-0.0253448486328125,
-0.02288818359375,
0.01381683349609375,
0.019866943359375,
0.053558349609375,
0.06768798828125,
-0.041107177734375,
-0.03668212890625,
-0.0190582275390625,
-0.063232421875,
-0.0302581787109375,
0.01092529296875,
-0.01129150390625,
0.0008001327514648438,
0.0238800048828125,
-0.055023193359375,
0.00653076171875,
0.04254150390625,
-0.07159423828125,
0.051513671875,
-0.02630615234375,
-0.00007575750350952148,
-0.09185791015625,
0.01305389404296875,
0.0162200927734375,
-0.024261474609375,
-0.055511474609375,
0.0236968994140625,
0.01108551025390625,
-0.004302978515625,
-0.050994873046875,
0.064453125,
-0.037841796875,
0.0016231536865234375,
-0.03228759765625,
-0.00919342041015625,
-0.01050567626953125,
-0.0042266845703125,
0.0018405914306640625,
0.04364013671875,
0.0792236328125,
-0.0303955078125,
0.0430908203125,
0.04290771484375,
0.00759124755859375,
0.053436279296875,
-0.042633056640625,
0.008880615234375,
-0.0184478759765625,
0.0185546875,
-0.045166015625,
-0.04400634765625,
0.042388916015625,
-0.035675048828125,
0.0223541259765625,
-0.0321044921875,
-0.0238037109375,
-0.03369140625,
-0.04229736328125,
0.0134735107421875,
0.043975830078125,
-0.0208282470703125,
0.05322265625,
0.048980712890625,
0.0081024169921875,
-0.03924560546875,
-0.03070068359375,
-0.013458251953125,
-0.0196685791015625,
-0.0293731689453125,
0.032073974609375,
0.0093994140625,
-0.03436279296875,
-0.0156097412109375,
0.002529144287109375,
-0.0149383544921875,
0.006168365478515625,
0.033355712890625,
0.028564453125,
-0.00170135498046875,
-0.020263671875,
-0.028594970703125,
-0.049652099609375,
-0.01038360595703125,
-0.010589599609375,
0.047271728515625,
-0.0190277099609375,
0.0263824462890625,
-0.059112548828125,
-0.00348663330078125,
0.052276611328125,
0.0176239013671875,
0.05859375,
0.0303192138671875,
-0.0380859375,
-0.00710296630859375,
-0.0239410400390625,
-0.01154327392578125,
-0.03826904296875,
0.03167724609375,
-0.0396728515625,
-0.0400390625,
0.050628662109375,
0.00003361701965332031,
-0.02642822265625,
0.041748046875,
0.040374755859375,
-0.0056915283203125,
0.04656982421875,
0.06878662109375,
-0.00760650634765625,
0.05059814453125,
-0.04931640625,
-0.046417236328125,
-0.053619384765625,
-0.0423583984375,
-0.0268096923828125,
0.0167999267578125,
-0.028533935546875,
-0.0178985595703125,
0.0093231201171875,
0.032196044921875,
-0.0533447265625,
0.06182861328125,
-0.030059814453125,
0.042510986328125,
0.0406494140625,
0.01081085205078125,
-0.0193634033203125,
-0.038116455078125,
-0.00330352783203125,
0.0158538818359375,
-0.0232696533203125,
-0.0380859375,
0.06817626953125,
0.039703369140625,
0.052459716796875,
0.005001068115234375,
0.044830322265625,
0.006404876708984375,
0.04473876953125,
-0.038604736328125,
0.033782958984375,
-0.0123138427734375,
-0.06317138671875,
-0.008209228515625,
-0.022186279296875,
-0.052886962890625,
0.0129852294921875,
-0.030487060546875,
-0.0665283203125,
-0.011749267578125,
0.006420135498046875,
-0.0196990966796875,
0.005298614501953125,
-0.03704833984375,
0.07135009765625,
-0.0242767333984375,
-0.02435302734375,
0.0106048583984375,
-0.04791259765625,
0.0185089111328125,
0.0135040283203125,
-0.003620147705078125,
-0.02490234375,
-0.0181427001953125,
0.050048828125,
-0.032958984375,
0.043701171875,
-0.057586669921875,
0.013031005859375,
0.0166015625,
0.00891876220703125,
0.0274810791015625,
0.031951904296875,
-0.0117034912109375,
0.001331329345703125,
0.00582122802734375,
-0.052276611328125,
-0.0032062530517578125,
0.031219482421875,
-0.09857177734375,
-0.0046539306640625,
-0.057861328125,
-0.02325439453125,
0.0090179443359375,
0.020111083984375,
0.03948974609375,
0.00940704345703125,
-0.0279998779296875,
0.00021457672119140625,
0.0059661865234375,
0.00882720947265625,
0.01517486572265625,
0.0614013671875,
-0.035797119140625,
-0.061126708984375,
0.0298919677734375,
0.0017242431640625,
-0.0007538795471191406,
0.0221099853515625,
0.00569915771484375,
-0.0225372314453125,
-0.042083740234375,
-0.0098419189453125,
0.0309600830078125,
-0.0251007080078125,
-0.0134429931640625,
-0.0113525390625,
-0.0227508544921875,
-0.0256500244140625,
-0.0291290283203125,
-0.046112060546875,
-0.0204315185546875,
-0.0330810546875,
-0.0225067138671875,
0.0256195068359375,
0.0499267578125,
-0.03021240234375,
0.08660888671875,
-0.034942626953125,
0.03338623046875,
0.010040283203125,
0.04132080078125,
-0.058624267578125,
-0.0338134765625,
-0.026611328125,
-0.0174560546875,
-0.03155517578125,
-0.06683349609375,
0.03271484375,
-0.016204833984375,
0.05377197265625,
0.028167724609375,
-0.010833740234375,
0.0254974365234375,
-0.01161956787109375,
0.055572509765625,
0.033355712890625,
-0.0716552734375,
0.0283355712890625,
-0.051239013671875,
0.0092010498046875,
0.062469482421875,
0.0146331787109375,
-0.01800537109375,
-0.0259246826171875,
-0.0601806640625,
-0.06903076171875,
0.08331298828125,
0.03216552734375,
-0.00598907470703125,
0.0221099853515625,
0.055267333984375,
-0.00547027587890625,
0.00682830810546875,
-0.06524658203125,
-0.0196380615234375,
-0.0264129638671875,
-0.01265716552734375,
-0.0196990966796875,
-0.01195526123046875,
-0.0140533447265625,
0.00411224365234375,
0.06378173828125,
-0.01079559326171875,
0.0202789306640625,
0.00621795654296875,
-0.00850677490234375,
-0.0304107666015625,
-0.03729248046875,
0.0280609130859375,
0.0230560302734375,
-0.06353759765625,
-0.015655517578125,
0.0036869049072265625,
-0.040679931640625,
0.0256195068359375,
0.043426513671875,
-0.0190887451171875,
-0.0178985595703125,
0.0283050537109375,
0.050506591796875,
0.0111541748046875,
-0.0197296142578125,
0.046356201171875,
0.00817108154296875,
-0.034820556640625,
-0.053619384765625,
0.002925872802734375,
-0.0061492919921875,
0.037261962890625,
0.0201873779296875,
0.01031494140625,
-0.0091552734375,
-0.036956787109375,
0.0302734375,
0.0177154541015625,
-0.050048828125,
-0.03607177734375,
0.061126708984375,
0.02532958984375,
-0.05633544921875,
0.044830322265625,
-0.007259368896484375,
-0.03973388671875,
0.06695556640625,
0.031707763671875,
0.0650634765625,
-0.0257415771484375,
0.032989501953125,
0.033935546875,
0.01325225830078125,
-0.0251007080078125,
0.04010009765625,
0.0201568603515625,
-0.07379150390625,
-0.0159454345703125,
-0.01184844970703125,
-0.0523681640625,
0.0155181884765625,
-0.04449462890625,
0.041534423828125,
-0.043975830078125,
-0.03485107421875,
0.0029296875,
0.020721435546875,
-0.0294036865234375,
-0.00514984130859375,
0.0255126953125,
0.0943603515625,
-0.06097412109375,
0.07122802734375,
0.07159423828125,
-0.037261962890625,
-0.03826904296875,
-0.0018377304077148438,
0.02777099609375,
-0.058074951171875,
0.040618896484375,
0.032196044921875,
0.003887176513671875,
0.0096893310546875,
-0.054443359375,
-0.048919677734375,
0.10089111328125,
0.01378631591796875,
-0.003082275390625,
0.0163116455078125,
-0.0151824951171875,
0.0469970703125,
-0.0406494140625,
0.037139892578125,
0.02362060546875,
0.035797119140625,
0.01329803466796875,
-0.0660400390625,
-0.0251312255859375,
-0.03375244140625,
-0.008575439453125,
-0.00312042236328125,
-0.07568359375,
0.08154296875,
0.002880096435546875,
0.0245208740234375,
0.063720703125,
0.03436279296875,
0.055877685546875,
0.0192413330078125,
0.03668212890625,
0.042572021484375,
0.01947021484375,
-0.01904296875,
0.061492919921875,
-0.0224151611328125,
0.0650634765625,
0.050537109375,
-0.05926513671875,
0.038970947265625,
0.0203399658203125,
0.007175445556640625,
0.0357666015625,
0.045928955078125,
-0.01399993896484375,
0.056671142578125,
0.0138092041015625,
-0.0086822509765625,
-0.006305694580078125,
0.0308990478515625,
-0.0193328857421875,
0.033355712890625,
0.01335906982421875,
0.0003542900085449219,
-0.006134033203125,
-0.0013151168823242188,
0.002819061279296875,
-0.00335693359375,
-0.031707763671875,
0.069580078125,
-0.01198577880859375,
-0.047821044921875,
0.031982421875,
0.02423095703125,
0.043548583984375,
-0.062042236328125,
-0.002262115478515625,
-0.01031494140625,
0.04559326171875,
0.00061798095703125,
-0.07171630859375,
-0.002323150634765625,
-0.01418304443359375,
0.00791168212890625,
-0.0176239013671875,
0.0518798828125,
-0.01438140869140625,
-0.020263671875,
0.057403564453125,
0.025238037109375,
0.0025386810302734375,
0.01580810546875,
-0.07073974609375,
-0.012908935546875,
-0.03497314453125,
-0.037933349609375,
0.0160980224609375,
0.020965576171875,
0.0240478515625,
0.0531005859375,
0.03228759765625,
-0.0011396408081054688,
-0.0248565673828125,
-0.00730133056640625,
0.06878662109375,
-0.048065185546875,
-0.05230712890625,
-0.03375244140625,
0.0780029296875,
-0.02264404296875,
-0.06005859375,
0.034332275390625,
0.06951904296875,
0.03912353515625,
-0.0216827392578125,
0.03887939453125,
-0.01435089111328125,
0.0220184326171875,
-0.03253173828125,
0.05548095703125,
-0.0188140869140625,
-0.0088653564453125,
-0.0093231201171875,
-0.051300048828125,
-0.034759521484375,
0.06915283203125,
-0.0013580322265625,
-0.004581451416015625,
0.019775390625,
0.053680419921875,
0.0025920867919921875,
-0.02288818359375,
0.015716552734375,
0.0411376953125,
0.0057373046875,
0.0283355712890625,
0.0706787109375,
-0.04681396484375,
0.01110076904296875,
-0.039215087890625,
-0.05157470703125,
-0.0189971923828125,
-0.0458984375,
-0.07586669921875,
-0.03143310546875,
-0.0186614990234375,
-0.0701904296875,
0.0158843994140625,
0.062469482421875,
0.0736083984375,
-0.048187255859375,
-0.05084228515625,
-0.0162353515625,
-0.00771331787109375,
-0.01080322265625,
-0.0127105712890625,
0.00746917724609375,
-0.004177093505859375,
-0.04766845703125,
0.018707275390625,
-0.0023746490478515625,
0.0282440185546875,
0.0008997917175292969,
-0.044219970703125,
-0.01312255859375,
-0.02362060546875,
0.0187835693359375,
0.036895751953125,
-0.0216217041015625,
-0.028900146484375,
-0.009124755859375,
-0.0176544189453125,
0.0026683807373046875,
0.036346435546875,
-0.047332763671875,
0.004730224609375,
0.0296173095703125,
-0.0267791748046875,
0.06414794921875,
0.01155853271484375,
0.042236328125,
-0.03948974609375,
0.047149658203125,
0.01861572265625,
0.030487060546875,
0.0151214599609375,
-0.01531219482421875,
0.0484619140625,
0.0268096923828125,
-0.050048828125,
-0.048309326171875,
0.0116729736328125,
-0.08441162109375,
-0.01611328125,
0.08331298828125,
0.0007581710815429688,
-0.01366424560546875,
-0.004764556884765625,
-0.040985107421875,
0.0175018310546875,
-0.033721923828125,
0.036834716796875,
0.035797119140625,
-0.0041961669921875,
-0.02685546875,
-0.0274810791015625,
0.033294677734375,
-0.01068115234375,
-0.044677734375,
-0.029266357421875,
0.034912109375,
0.0321044921875,
0.021820068359375,
0.0675048828125,
-0.01039886474609375,
0.0311431884765625,
0.032745361328125,
0.0216217041015625,
-0.01580810546875,
-0.0239105224609375,
-0.03399658203125,
0.0084991455078125,
0.00803375244140625,
-0.00995635986328125
]
] |
eugene6/a2c-PandaReachDense-v3 | 2023-09-28T07:51:49.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | eugene6 | null | null | eugene6/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-09-28T07:46:34 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: -0.19 +/- 0.08
name: mean_reward
verified: false
---
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 802 | [
[
-0.0222320556640625,
-0.046966552734375,
-0.001811981201171875,
0.0477294921875,
0.0019321441650390625,
-0.0059051513671875,
0.034088134765625,
-0.0240325927734375,
0.02874755859375,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,
-0.0009937286376953125,
-0.0265960693359375,
0.072021484375,
-0.0136566162109375,
0.03326416015625,
0.0006146430969238281,
-0.01519012451171875,
-0.01404571533203125,
-0.0194854736328125,
-0.0714111328125,
-0.054656982421875,
0.01580810546875,
0.0288238525390625,
0.056884765625,
0.04522705078125,
0.03778076171875,
0.0262908935546875,
-0.029296875,
-0.03466796875,
-0.040313720703125,
0.00826263427734375,
0.00209808349609375,
-0.0517578125,
-0.046356201171875,
0.00701141357421875,
0.041473388671875,
0.012542724609375,
-0.030609130859375,
0.00908660888671875,
-0.01099395751953125,
0.03515625,
-0.03961181640625,
0.0264434814453125,
-0.0135650634765625,
0.0060272216796875,
0.0044403076171875,
0.0176239013671875,
-0.019287109375,
-0.0220947265625,
0.0189056396484375,
-0.0584716796875,
0.0029277801513671875,
-0.007213592529296875,
0.095458984375,
0.0222625732421875,
-0.0271148681640625,
0.0013093948364257812,
-0.00371551513671875,
0.028228759765625,
-0.0247650146484375,
0.00812530517578125,
0.0452880859375,
0.04315185546875,
0.0037059783935546875,
-0.059814453125,
-0.015777587890625,
-0.0184326171875,
0.01097869873046875,
0.00923919677734375,
-0.00290679931640625,
-0.0010633468627929688,
0.031402587890625,
0.01555633544921875,
-0.01922607421875,
0.01428985595703125,
-0.03662109375,
-0.034088134765625,
0.0277557373046875,
0.02655029296875,
0.00815582275390625,
0.00849151611328125,
-0.0338134765625,
-0.00048732757568359375,
-0.0302734375,
0.034637451171875,
0.020477294921875,
0.0063934326171875,
-0.04833984375,
0.05792236328125,
-0.0161285400390625,
0.038177490234375,
0.03155517578125,
0.01800537109375,
0.036346435546875,
0.0033588409423828125,
0.0010929107666015625,
-0.0031528472900390625,
0.027862548828125,
0.04718017578125,
-0.0000814199447631836,
0.00908660888671875,
-0.028717041015625,
0.00798797607421875,
0.022247314453125,
-0.0771484375,
-0.02984619140625,
0.0291290283203125,
-0.037109375,
-0.042877197265625,
0.003772735595703125,
-0.0386962890625,
-0.02001953125,
-0.0143280029296875,
0.0056610107421875,
-0.050811767578125,
-0.0267486572265625,
-0.0180816650390625,
-0.035919189453125,
0.04644775390625,
0.01386260986328125,
-0.06451416015625,
0.0439453125,
0.03851318359375,
0.0772705078125,
0.01084136962890625,
-0.045989990234375,
-0.049957275390625,
0.00807952880859375,
-0.0343017578125,
0.07000732421875,
0.00455474853515625,
-0.031494140625,
0.025146484375,
0.02227783203125,
0.01441192626953125,
-0.03765869140625,
0.027923583984375,
-0.04022216796875,
-0.015350341796875,
-0.013702392578125,
-0.034912109375,
-0.00989532470703125,
0.0291595458984375,
-0.05859375,
0.082275390625,
0.040252685546875,
-0.054290771484375,
0.01448822021484375,
-0.0465087890625,
-0.021484375,
0.01386260986328125,
0.0262298583984375,
-0.055450439453125,
-0.0251617431640625,
-0.00997161865234375,
0.016265869140625,
0.0306549072265625,
-0.0214385986328125,
-0.062164306640625,
-0.0384521484375,
-0.0017099380493164062,
0.0204315185546875,
0.09356689453125,
0.0101318359375,
-0.007503509521484375,
0.01384735107421875,
-0.052001953125,
-0.0166778564453125,
0.006832122802734375,
-0.0271148681640625,
0.003673553466796875,
-0.006519317626953125,
0.0216827392578125,
0.00557708740234375,
0.038543701171875,
-0.039947509765625,
0.0250396728515625,
-0.026611328125,
0.0184783935546875,
0.052215576171875,
-0.003326416015625,
0.044097900390625,
-0.044281005859375,
0.02557373046875,
0.0033721923828125,
0.0054473876953125,
0.011932373046875,
-0.0291595458984375,
-0.044403076171875,
-0.04425048828125,
0.007213592529296875,
0.070068359375,
-0.0762939453125,
0.046539306640625,
0.0199432373046875,
-0.05059814453125,
-0.0352783203125,
-0.0020751953125,
0.01593017578125,
0.01092529296875,
0.0248260498046875,
-0.006824493408203125,
-0.03955078125,
-0.060699462890625,
0.01971435546875,
-0.0297088623046875,
-0.0020542144775390625,
0.00983428955078125,
0.036956787109375,
-0.042449951171875,
0.05120849609375,
-0.0310516357421875,
-0.027557373046875,
-0.0194549560546875,
-0.0052947998046875,
0.006622314453125,
0.05877685546875,
0.07183837890625,
-0.0160675048828125,
-0.03314208984375,
-0.0396728515625,
-0.05938720703125,
-0.01873779296875,
0.0195159912109375,
-0.03411865234375,
0.024658203125,
0.032196044921875,
-0.06488037109375,
0.0382080078125,
0.042022705078125,
-0.04931640625,
0.0516357421875,
-0.0081939697265625,
-0.008026123046875,
-0.07965087890625,
0.0097198486328125,
0.0169677734375,
-0.02813720703125,
-0.036773681640625,
0.025054931640625,
0.024200439453125,
-0.0078125,
-0.0478515625,
0.05780029296875,
-0.04095458984375,
-0.008209228515625,
-0.034820556640625,
-0.00800323486328125,
-0.003864288330078125,
0.0149078369140625,
0.00905609130859375,
0.042022705078125,
0.0972900390625,
-0.03753662109375,
0.06964111328125,
0.055572509765625,
-0.01198577880859375,
0.05059814453125,
-0.03369140625,
-0.014678955078125,
-0.010162353515625,
0.0460205078125,
-0.035186767578125,
-0.0273590087890625,
0.03955078125,
-0.036102294921875,
0.026580810546875,
-0.0189056396484375,
-0.03118896484375,
-0.0435791015625,
-0.02392578125,
0.0212554931640625,
0.026092529296875,
-0.05230712890625,
0.03961181640625,
0.039031982421875,
0.001285552978515625,
-0.040313720703125,
-0.0528564453125,
-0.00970458984375,
-0.01031494140625,
-0.03338623046875,
0.01184844970703125,
-0.01195526123046875,
-0.01666259765625,
-0.0038738250732421875,
-0.001590728759765625,
-0.0170135498046875,
0.0167236328125,
0.01143646240234375,
0.022796630859375,
-0.0161590576171875,
-0.03448486328125,
-0.012420654296875,
-0.0198974609375,
0.01200103759765625,
0.020263671875,
0.04351806640625,
-0.0291900634765625,
0.00792694091796875,
-0.0693359375,
0.01404571533203125,
0.022705078125,
0.0028057098388671875,
0.06451416015625,
0.04632568359375,
-0.0400390625,
-0.016204833984375,
-0.01287841796875,
-0.01263427734375,
-0.03814697265625,
0.0214691162109375,
-0.0298919677734375,
-0.032501220703125,
0.0625,
0.01235198974609375,
-0.0079345703125,
0.032379150390625,
0.040008544921875,
-0.004230499267578125,
0.08294677734375,
0.045989990234375,
-0.0199432373046875,
0.048828125,
-0.04248046875,
-0.032135009765625,
-0.064697265625,
-0.0244598388671875,
-0.034576416015625,
0.01195526123046875,
-0.0257415771484375,
-0.007259368896484375,
-0.0004742145538330078,
0.032135009765625,
-0.0499267578125,
0.055389404296875,
-0.01800537109375,
0.029388427734375,
0.03515625,
0.020111083984375,
-0.03131103515625,
-0.0273284912109375,
-0.007022857666015625,
0.03546142578125,
-0.0222320556640625,
-0.0249176025390625,
0.06292724609375,
0.0406494140625,
0.05853271484375,
0.025909423828125,
0.0467529296875,
0.007389068603515625,
0.036590576171875,
-0.046966552734375,
0.03765869140625,
0.0026760101318359375,
-0.06390380859375,
-0.0139007568359375,
-0.0149688720703125,
-0.06585693359375,
0.01800537109375,
-0.019683837890625,
-0.05694580078125,
-0.0036640167236328125,
0.00804901123046875,
-0.0238800048828125,
0.0027828216552734375,
-0.03564453125,
0.08062744140625,
-0.00022602081298828125,
-0.0271148681640625,
0.00022113323211669922,
-0.046783447265625,
0.03228759765625,
0.03106689453125,
-0.00666046142578125,
-0.01666259765625,
-0.0133819580078125,
0.0223846435546875,
-0.0308837890625,
0.0455322265625,
-0.045654296875,
-0.00027441978454589844,
0.035919189453125,
0.0270843505859375,
0.0335693359375,
0.0361328125,
-0.016754150390625,
0.019622802734375,
0.0216064453125,
-0.0728759765625,
-0.006542205810546875,
0.048828125,
-0.08148193359375,
-0.0204925537109375,
-0.05938720703125,
-0.00904083251953125,
0.003757476806640625,
0.02392578125,
0.0107879638671875,
0.035125732421875,
-0.0309600830078125,
0.0154571533203125,
0.0230560302734375,
0.0194854736328125,
0.031982421875,
0.0528564453125,
-0.0291290283203125,
-0.03863525390625,
0.04345703125,
-0.0124053955078125,
-0.005126953125,
0.002002716064453125,
-0.01300048828125,
-0.020751953125,
-0.0260467529296875,
-0.037933349609375,
0.01007080078125,
-0.0362548828125,
-0.021942138671875,
-0.033172607421875,
-0.0426025390625,
-0.04156494140625,
-0.020721435546875,
-0.028411865234375,
-0.0126190185546875,
-0.05950927734375,
-0.0211181640625,
0.01776123046875,
0.03131103515625,
-0.045867919921875,
0.06866455078125,
-0.045684814453125,
0.043548583984375,
0.0012969970703125,
0.05377197265625,
-0.029815673828125,
-0.0225067138671875,
-0.04180908203125,
0.003650665283203125,
-0.052001953125,
-0.068115234375,
0.03216552734375,
-0.00870513916015625,
0.06842041015625,
0.038970947265625,
-0.016754150390625,
0.038238525390625,
-0.03277587890625,
0.0675048828125,
0.00609588623046875,
-0.0701904296875,
0.032379150390625,
-0.034942626953125,
0.0186004638671875,
0.050506591796875,
0.025360107421875,
-0.00905609130859375,
-0.028961181640625,
-0.0596923828125,
-0.0489501953125,
0.0823974609375,
0.03436279296875,
-0.015777587890625,
0.001361846923828125,
0.03802490234375,
-0.018768310546875,
0.008636474609375,
-0.06085205078125,
-0.0264129638671875,
-0.046600341796875,
-0.01290130615234375,
-0.01413726806640625,
0.0009050369262695312,
-0.016204833984375,
-0.003467559814453125,
0.07666015625,
-0.0163726806640625,
0.01934814453125,
0.005458831787109375,
-0.00473785400390625,
-0.02972412109375,
-0.050628662109375,
0.024566650390625,
0.003528594970703125,
-0.048553466796875,
-0.023712158203125,
0.004772186279296875,
-0.02587890625,
0.0050201416015625,
0.0374755859375,
-0.01261138916015625,
-0.0174713134765625,
0.032135009765625,
0.06695556640625,
0.0038242340087890625,
-0.028533935546875,
0.054718017578125,
-0.0158233642578125,
-0.014190673828125,
-0.044952392578125,
0.01390838623046875,
-0.0014524459838867188,
0.0325927734375,
-0.00954437255859375,
0.0384521484375,
0.019317626953125,
-0.040863037109375,
0.031494140625,
0.02972412109375,
-0.054290771484375,
-0.017974853515625,
0.0557861328125,
0.020111083984375,
-0.035430908203125,
0.046966552734375,
-0.005733489990234375,
-0.0382080078125,
0.0782470703125,
0.035308837890625,
0.062103271484375,
-0.03851318359375,
0.01502227783203125,
0.041961669921875,
0.01235198974609375,
-0.032867431640625,
0.03277587890625,
0.001056671142578125,
-0.06536865234375,
0.003307342529296875,
-0.034027099609375,
-0.043487548828125,
-0.0018815994262695312,
-0.06024169921875,
0.043212890625,
-0.034423828125,
-0.0228118896484375,
-0.0019235610961914062,
0.019744873046875,
-0.0345458984375,
-0.0029296875,
0.0164337158203125,
0.1055908203125,
-0.04730224609375,
0.062042236328125,
0.06390380859375,
-0.03765869140625,
-0.026611328125,
0.0080718994140625,
0.0228424072265625,
-0.06744384765625,
0.021484375,
0.04254150390625,
0.0132904052734375,
0.0106658935546875,
-0.0731201171875,
-0.072021484375,
0.08758544921875,
-0.0027618408203125,
0.01415252685546875,
0.019073486328125,
-0.032501220703125,
0.0499267578125,
-0.042999267578125,
0.032196044921875,
0.04168701171875,
0.02679443359375,
0.0079803466796875,
-0.05120849609375,
-0.0182952880859375,
-0.0386962890625,
-0.000995635986328125,
-0.0207977294921875,
-0.08636474609375,
0.06365966796875,
-0.0008206367492675781,
0.00939178466796875,
0.0640869140625,
0.062408447265625,
0.056060791015625,
0.001346588134765625,
0.042205810546875,
0.043853759765625,
0.01427459716796875,
-0.00164794921875,
0.061248779296875,
-0.03662109375,
0.03912353515625,
0.04534912109375,
-0.048095703125,
0.052642822265625,
0.0030574798583984375,
0.00670623779296875,
0.05694580078125,
0.07293701171875,
-0.0222930908203125,
0.0504150390625,
0.0240020751953125,
-0.004459381103515625,
-0.01371002197265625,
0.0284271240234375,
-0.0245361328125,
0.025543212890625,
0.0343017578125,
0.01061248779296875,
-0.01451873779296875,
-0.01338958740234375,
-0.0030422210693359375,
-0.01189422607421875,
-0.04010009765625,
0.07379150390625,
-0.0015287399291992188,
-0.054168701171875,
0.056121826171875,
0.0113067626953125,
0.03326416015625,
-0.042205810546875,
-0.00202178955078125,
-0.01641845703125,
0.04217529296875,
-0.0012836456298828125,
-0.0738525390625,
0.0159454345703125,
-0.0139923095703125,
-0.005889892578125,
-0.001926422119140625,
0.03570556640625,
-0.0240020751953125,
-0.033172607421875,
0.05218505859375,
0.0038928985595703125,
0.006305694580078125,
0.0185546875,
-0.07781982421875,
-0.0023403167724609375,
-0.02911376953125,
-0.0350341796875,
0.0240478515625,
0.032806396484375,
0.0199127197265625,
0.068603515625,
0.03167724609375,
0.004543304443359375,
-0.004268646240234375,
-0.0093841552734375,
0.062103271484375,
-0.04278564453125,
-0.060150146484375,
-0.021209716796875,
0.045684814453125,
-0.0207061767578125,
-0.034820556640625,
0.034332275390625,
0.07513427734375,
0.03759765625,
-0.004917144775390625,
0.0455322265625,
0.0032501220703125,
0.0472412109375,
-0.0204925537109375,
0.056396484375,
-0.0311431884765625,
-0.005496978759765625,
-0.0023403167724609375,
-0.060089111328125,
-0.0103912353515625,
0.06707763671875,
0.0289306640625,
-0.0125579833984375,
0.03533935546875,
0.0595703125,
-0.0007243156433105469,
0.01074981689453125,
-0.007404327392578125,
0.0489501953125,
0.0165863037109375,
0.00603485107421875,
0.05120849609375,
-0.04217529296875,
0.0284271240234375,
-0.03961181640625,
-0.053985595703125,
-0.016937255859375,
-0.0391845703125,
-0.08587646484375,
-0.0185699462890625,
-0.0175933837890625,
-0.07867431640625,
0.002696990966796875,
0.06085205078125,
0.046630859375,
-0.06829833984375,
-0.04351806640625,
-0.0068206787109375,
-0.007106781005859375,
-0.034332275390625,
-0.0166168212890625,
0.01806640625,
-0.02996826171875,
-0.053497314453125,
0.0219573974609375,
-0.0181121826171875,
0.0303802490234375,
-0.0199432373046875,
-0.02032470703125,
-0.0201568603515625,
-0.0021991729736328125,
0.0222015380859375,
0.0362548828125,
-0.029937744140625,
-0.0240020751953125,
-0.0244598388671875,
-0.0214080810546875,
-0.0030002593994140625,
0.0217742919921875,
-0.040863037109375,
-0.01174163818359375,
0.025299072265625,
0.005401611328125,
0.04852294921875,
0.01465606689453125,
0.035552978515625,
-0.025909423828125,
0.0305328369140625,
0.005283355712890625,
0.046844482421875,
0.018463134765625,
-0.019439697265625,
0.037384033203125,
0.0305633544921875,
-0.05108642578125,
-0.056060791015625,
0.01142120361328125,
-0.0823974609375,
-0.023956298828125,
0.10015869140625,
-0.011383056640625,
-0.040679931640625,
-0.0031986236572265625,
-0.044769287109375,
0.0277252197265625,
-0.045562744140625,
0.045166015625,
0.04815673828125,
-0.01068878173828125,
-0.017242431640625,
-0.0258026123046875,
0.04864501953125,
-0.00634002685546875,
-0.03912353515625,
-0.0162506103515625,
0.044921875,
0.0246429443359375,
0.00678253173828125,
0.046234130859375,
-0.0005712509155273438,
0.0277252197265625,
0.030181884765625,
0.0184173583984375,
0.007427215576171875,
-0.0233917236328125,
-0.030487060546875,
0.00562286376953125,
-0.017822265625,
-0.0030956268310546875
]
] |
YL95/naive_chunk0 | 2023-09-28T07:57:39.000Z | [
"peft",
"tensorboard",
"region:us"
] | null | YL95 | null | null | YL95/naive_chunk0 | 0 | 2 | peft | 2023-09-28T07:56:33 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
### Framework versions
- PEFT 0.6.0.dev0
- PEFT 0.6.0.dev0
| 863 | [
[
-0.0496826171875,
-0.05157470703125,
0.021759033203125,
0.03436279296875,
-0.042236328125,
0.006580352783203125,
0.008270263671875,
-0.02105712890625,
-0.008209228515625,
0.026763916015625,
-0.04901123046875,
-0.0154571533203125,
-0.037841796875,
0.01094818115234375,
0.0064697265625,
0.06585693359375,
-0.0128631591796875,
0.030670166015625,
-0.00971221923828125,
-0.00453948974609375,
-0.034149169921875,
-0.0294647216796875,
-0.07049560546875,
-0.0189971923828125,
-0.0197906494140625,
0.026947021484375,
0.03204345703125,
0.019287109375,
0.047210693359375,
0.019927978515625,
-0.0021800994873046875,
-0.016326904296875,
-0.01500701904296875,
-0.0248870849609375,
0.0103302001953125,
-0.033843994140625,
-0.059844970703125,
-0.01052093505859375,
0.067138671875,
0.01421356201171875,
-0.00832366943359375,
0.0192108154296875,
-0.0106048583984375,
0.06829833984375,
-0.051239013671875,
0.0157623291015625,
-0.033782958984375,
0.032928466796875,
-0.00569915771484375,
-0.01861572265625,
-0.018829345703125,
-0.01502227783203125,
-0.00035262107849121094,
-0.044097900390625,
0.032012939453125,
-0.0021800994873046875,
0.0701904296875,
0.01007843017578125,
-0.045867919921875,
0.00970458984375,
-0.0321044921875,
0.05096435546875,
-0.05999755859375,
0.034210205078125,
0.034088134765625,
0.01047515869140625,
0.01027679443359375,
-0.04144287109375,
-0.0312347412109375,
0.0117034912109375,
0.0112152099609375,
-0.00772857666015625,
-0.00588226318359375,
0.033966064453125,
0.0576171875,
0.030242919921875,
-0.0301971435546875,
-0.009490966796875,
-0.040618896484375,
-0.033294677734375,
0.054290771484375,
0.01568603515625,
-0.02288818359375,
0.015533447265625,
-0.050689697265625,
-0.0144805908203125,
-0.0474853515625,
0.01617431640625,
0.0294342041015625,
-0.0011568069458007812,
-0.038421630859375,
0.0277099609375,
-0.0303497314453125,
0.041046142578125,
0.050201416015625,
-0.003948211669921875,
0.06854248046875,
-0.03399658203125,
-0.03643798828125,
0.0212554931640625,
0.062255859375,
0.0162353515625,
0.0142059326171875,
0.01203155517578125,
-0.034637451171875,
-0.026275634765625,
0.02880859375,
-0.08349609375,
-0.0140380859375,
0.032928466796875,
-0.01494598388671875,
-0.0301055908203125,
0.0143585205078125,
-0.043426513671875,
0.01184844970703125,
-0.000583648681640625,
0.05560302734375,
-0.05303955078125,
-0.0340576171875,
0.02276611328125,
-0.016845703125,
0.041412353515625,
0.010467529296875,
-0.07818603515625,
0.041961669921875,
0.051116943359375,
0.049346923828125,
0.0037631988525390625,
-0.0127410888671875,
-0.023101806640625,
-0.004886627197265625,
-0.01261138916015625,
0.0258026123046875,
0.02490234375,
-0.027862548828125,
-0.01140594482421875,
0.005893707275390625,
-0.0177459716796875,
-0.044342041015625,
0.04254150390625,
-0.044189453125,
0.0004742145538330078,
-0.006988525390625,
-0.03887939453125,
-0.027374267578125,
0.01727294921875,
-0.040435791015625,
0.08355712890625,
0.02142333984375,
-0.055633544921875,
0.0201568603515625,
-0.03985595703125,
-0.0207977294921875,
0.016693115234375,
-0.03155517578125,
-0.05645751953125,
0.02947998046875,
-0.018280029296875,
0.029754638671875,
0.006282806396484375,
0.0224609375,
-0.0130767822265625,
-0.0545654296875,
0.02532958984375,
-0.034210205078125,
0.0732421875,
0.0099945068359375,
-0.06256103515625,
0.0010290145874023438,
-0.06884765625,
0.022918701171875,
-0.0030727386474609375,
-0.040863037109375,
0.02294921875,
-0.026580810546875,
0.003551483154296875,
0.0021610260009765625,
0.034881591796875,
-0.054351806640625,
-0.0098419189453125,
-0.03656005859375,
0.03558349609375,
0.06158447265625,
0.007312774658203125,
0.0211944580078125,
-0.0161895751953125,
0.035980224609375,
0.017547607421875,
0.024658203125,
0.041107177734375,
-0.037689208984375,
-0.062744140625,
-0.0127105712890625,
0.009002685546875,
0.039764404296875,
-0.05352783203125,
0.056488037109375,
-0.006771087646484375,
-0.0231781005859375,
-0.0160675048828125,
-0.01517486572265625,
0.038665771484375,
0.0260162353515625,
0.024078369140625,
-0.0121307373046875,
-0.034454345703125,
-0.07025146484375,
0.022308349609375,
0.005733489990234375,
0.0084075927734375,
-0.0019741058349609375,
0.0616455078125,
0.0084075927734375,
0.0511474609375,
-0.035552978515625,
-0.0013170242309570312,
0.010467529296875,
0.00832366943359375,
0.03179931640625,
0.0589599609375,
0.050933837890625,
-0.06524658203125,
-0.0253143310546875,
-0.039581298828125,
-0.016326904296875,
0.0204620361328125,
-0.0244140625,
-0.0174560546875,
0.034088134765625,
0.01239776611328125,
-0.0283050537109375,
0.04754638671875,
0.028961181640625,
-0.053802490234375,
0.07366943359375,
-0.01425933837890625,
0.0155487060546875,
-0.06561279296875,
0.0026721954345703125,
0.0002853870391845703,
-0.022430419921875,
0.001270294189453125,
0.002529144287109375,
0.0233612060546875,
0.005413055419921875,
-0.04962158203125,
0.022979736328125,
-0.0233154296875,
-0.00634002685546875,
-0.002521514892578125,
-0.0445556640625,
0.0160980224609375,
0.043609619140625,
0.006519317626953125,
0.07171630859375,
0.0540771484375,
-0.056365966796875,
0.02484130859375,
-0.0010538101196289062,
-0.00217437744140625,
0.038360595703125,
-0.0478515625,
0.0027313232421875,
0.032958984375,
-0.0035247802734375,
-0.06182861328125,
0.00882720947265625,
0.024200439453125,
-0.037109375,
0.0305633544921875,
-0.00583648681640625,
-0.034149169921875,
-0.004474639892578125,
-0.049407958984375,
0.04473876953125,
0.035430908203125,
-0.022796630859375,
0.0226898193359375,
0.002216339111328125,
0.040435791015625,
-0.0303497314453125,
-0.06256103515625,
-0.034912109375,
-0.015411376953125,
-0.043914794921875,
0.04730224609375,
-0.034332275390625,
0.00710296630859375,
-0.0165863037109375,
-0.0384521484375,
-0.0263214111328125,
0.0179290771484375,
0.0258636474609375,
0.02618408203125,
-0.025421142578125,
-0.01238250732421875,
0.01384735107421875,
-0.01282501220703125,
0.031341552734375,
-0.0072021484375,
0.037017822265625,
-0.035064697265625,
-0.015716552734375,
-0.038848876953125,
0.00849151611328125,
0.015899658203125,
0.0128936767578125,
0.0662841796875,
0.073974609375,
-0.0322265625,
0.0102386474609375,
-0.03509521484375,
-0.02154541015625,
-0.039215087890625,
0.0223236083984375,
-0.045684814453125,
-0.075927734375,
0.0246429443359375,
0.00528717041015625,
-0.0007719993591308594,
0.055938720703125,
0.016326904296875,
-0.01617431640625,
0.05352783203125,
0.029388427734375,
0.0220489501953125,
0.05169677734375,
-0.0440673828125,
-0.005794525146484375,
-0.07818603515625,
-0.00814056396484375,
-0.037841796875,
-0.0258636474609375,
-0.0596923828125,
-0.00643157958984375,
0.035491943359375,
0.03424072265625,
-0.0621337890625,
0.0162353515625,
-0.038909912109375,
0.02569580078125,
0.0445556640625,
0.0248260498046875,
-0.0090789794921875,
0.0230865478515625,
-0.0169830322265625,
0.0038433074951171875,
-0.040435791015625,
-0.0037670135498046875,
0.09478759765625,
0.0207977294921875,
0.0286712646484375,
-0.005237579345703125,
0.062744140625,
0.000263214111328125,
-0.0261993408203125,
-0.04779052734375,
0.048370361328125,
-0.00118255615234375,
-0.05865478515625,
-0.01177978515625,
-0.048370361328125,
-0.043243408203125,
0.0020656585693359375,
-0.0182037353515625,
-0.050323486328125,
0.02166748046875,
0.0195770263671875,
-0.040313720703125,
0.0147552490234375,
-0.040435791015625,
0.07208251953125,
-0.0258026123046875,
-0.00971221923828125,
-0.024810791015625,
-0.0516357421875,
0.013763427734375,
0.0009298324584960938,
0.0032367706298828125,
0.0042724609375,
-0.01018524169921875,
0.07733154296875,
-0.040191650390625,
0.047698974609375,
-0.027587890625,
0.0151519775390625,
0.028564453125,
-0.0199127197265625,
0.0279541015625,
0.018035888671875,
-0.007740020751953125,
0.044281005859375,
0.0228118896484375,
-0.041900634765625,
-0.0025539398193359375,
0.038726806640625,
-0.08013916015625,
-0.006072998046875,
-0.057342529296875,
-0.0172119140625,
-0.01392364501953125,
0.00847625732421875,
0.042510986328125,
0.028076171875,
0.012542724609375,
0.0309600830078125,
0.08258056640625,
0.006740570068359375,
0.044525146484375,
0.0360107421875,
0.00203704833984375,
-0.0712890625,
0.053497314453125,
-0.002803802490234375,
0.0452880859375,
0.031280517578125,
0.00971221923828125,
-0.0202484130859375,
-0.0589599609375,
-0.0286712646484375,
0.01458740234375,
-0.0281982421875,
-0.038909912109375,
-0.015899658203125,
-0.0380859375,
-0.049468994140625,
0.0021686553955078125,
-0.043701171875,
-0.051971435546875,
-0.037841796875,
-0.00925445556640625,
0.0523681640625,
-0.00875091552734375,
-0.0208740234375,
0.0562744140625,
-0.07769775390625,
0.01316070556640625,
0.00037407875061035156,
0.0270538330078125,
-0.01024627685546875,
-0.056854248046875,
-0.054718017578125,
0.006435394287109375,
-0.052490234375,
-0.0623779296875,
0.005176544189453125,
0.01383209228515625,
0.03125,
0.03662109375,
-0.005710601806640625,
0.040618896484375,
-0.01235198974609375,
0.0494384765625,
0.0153350830078125,
-0.0753173828125,
0.033447265625,
-0.0082550048828125,
0.0226898193359375,
0.055267333984375,
0.03289794921875,
-0.004390716552734375,
0.0130157470703125,
-0.074462890625,
-0.072021484375,
0.062286376953125,
0.0158233642578125,
-0.00749969482421875,
0.01580810546875,
0.03662109375,
-0.007785797119140625,
0.045013427734375,
-0.055267333984375,
-0.0191650390625,
-0.0130767822265625,
0.0049285888671875,
0.0247039794921875,
-0.019805908203125,
-0.006687164306640625,
-0.025115966796875,
0.0858154296875,
-0.01158905029296875,
0.04052734375,
0.0171661376953125,
0.000022649765014648438,
-0.0250244140625,
0.01043701171875,
0.034088134765625,
0.049835205078125,
-0.053314208984375,
0.0012664794921875,
0.002544403076171875,
-0.07061767578125,
0.005016326904296875,
0.013397216796875,
-0.025634765625,
-0.0120086669921875,
0.00959014892578125,
0.08087158203125,
0.0174102783203125,
-0.0196533203125,
0.02117919921875,
-0.00420379638671875,
-0.042510986328125,
-0.042877197265625,
0.026611328125,
-0.0014238357543945312,
0.02178955078125,
0.01361846923828125,
0.0167694091796875,
0.004543304443359375,
-0.005512237548828125,
0.005649566650390625,
0.0274658203125,
-0.0137939453125,
-0.0198822021484375,
0.0250396728515625,
0.021270751953125,
-0.0037250518798828125,
0.06298828125,
-0.044830322265625,
-0.0263214111328125,
0.06304931640625,
0.034515380859375,
0.081298828125,
-0.0014495849609375,
0.011474609375,
0.037994384765625,
0.01268768310546875,
-0.00453948974609375,
0.06781005859375,
-0.0175018310546875,
-0.063720703125,
-0.02374267578125,
-0.06707763671875,
-0.01184844970703125,
0.0112152099609375,
-0.0714111328125,
0.0234527587890625,
-0.05322265625,
-0.022918701171875,
-0.0008020401000976562,
0.0394287109375,
-0.05487060546875,
0.028564453125,
0.016326904296875,
0.08203125,
-0.059356689453125,
0.0726318359375,
0.06256103515625,
-0.0292816162109375,
-0.067626953125,
-0.0262451171875,
-0.0069732666015625,
-0.05059814453125,
0.040435791015625,
-0.0004074573516845703,
0.0177001953125,
0.0286102294921875,
-0.033294677734375,
-0.05328369140625,
0.103271484375,
0.01544952392578125,
-0.047760009765625,
0.0135955810546875,
0.023345947265625,
0.010986328125,
-0.01415252685546875,
0.0240631103515625,
0.0279998779296875,
0.022857666015625,
0.0216064453125,
-0.06488037109375,
0.01462554931640625,
0.00024771690368652344,
-0.00946044921875,
0.0384521484375,
-0.055328369140625,
0.08502197265625,
-0.00757598876953125,
0.0197601318359375,
-0.006908416748046875,
0.039031982421875,
0.050384521484375,
0.01849365234375,
0.044952392578125,
0.062042236328125,
0.0234832763671875,
-0.003139495849609375,
0.030517578125,
-0.031341552734375,
0.049102783203125,
0.074951171875,
0.0015621185302734375,
0.060089111328125,
0.0557861328125,
-0.040069580078125,
0.0187530517578125,
0.0665283203125,
-0.01471710205078125,
0.035858154296875,
0.00560760498046875,
-0.033111572265625,
-0.019256591796875,
0.0291748046875,
-0.044189453125,
0.00234222412109375,
0.034332275390625,
-0.0164794921875,
-0.0093231201171875,
-0.00960540771484375,
0.0099945068359375,
-0.06060791015625,
-0.0279083251953125,
0.0478515625,
-0.00039458274841308594,
-0.02288818359375,
0.054595947265625,
0.005840301513671875,
0.06591796875,
-0.06298828125,
-0.0130615234375,
-0.005504608154296875,
0.0202178955078125,
-0.0261688232421875,
-0.04345703125,
0.0246734619140625,
-0.01352691650390625,
-0.0263824462890625,
-0.0135955810546875,
0.039825439453125,
-0.00237274169921875,
-0.0462646484375,
-0.0037364959716796875,
-0.003269195556640625,
0.0162811279296875,
-0.0389404296875,
-0.06451416015625,
0.006603240966796875,
0.03253173828125,
-0.04510498046875,
0.04443359375,
0.0496826171875,
0.0174560546875,
0.018280029296875,
0.026611328125,
0.00994110107421875,
0.0211334228515625,
-0.0077972412109375,
0.058685302734375,
-0.0518798828125,
-0.04229736328125,
-0.061737060546875,
0.04595947265625,
0.005535125732421875,
-0.045684814453125,
0.0305633544921875,
0.05999755859375,
0.08038330078125,
-0.0013360977172851562,
0.03277587890625,
-0.0157318115234375,
-0.01000213623046875,
-0.056732177734375,
0.0360107421875,
-0.020233154296875,
0.01068878173828125,
0.00783538818359375,
-0.04833984375,
0.0232391357421875,
0.0584716796875,
-0.010406494140625,
0.010467529296875,
0.074462890625,
0.03668212890625,
-0.00942230224609375,
0.020172119140625,
0.008514404296875,
0.01128387451171875,
0.01044464111328125,
0.046478271484375,
0.00954437255859375,
-0.0648193359375,
0.0298004150390625,
-0.05419921875,
-0.029205322265625,
-0.01049041748046875,
-0.05877685546875,
-0.03497314453125,
-0.01473236083984375,
-0.0584716796875,
-0.03460693359375,
-0.01375579833984375,
0.05780029296875,
0.06317138671875,
-0.060821533203125,
-0.03363037109375,
-0.02581787109375,
-0.00971221923828125,
-0.0217437744140625,
-0.022857666015625,
0.028961181640625,
-0.0151519775390625,
-0.0274810791015625,
0.007396697998046875,
-0.0003077983856201172,
0.0219268798828125,
-0.0175628662109375,
-0.01800537109375,
-0.031646728515625,
-0.01413726806640625,
0.01142120361328125,
-0.006072998046875,
-0.00849151611328125,
-0.01111602783203125,
-0.0203094482421875,
0.005962371826171875,
0.03350830078125,
0.0360107421875,
-0.06170654296875,
0.0086822509765625,
0.043426513671875,
0.02044677734375,
0.049560546875,
-0.021453857421875,
0.0180206298828125,
-0.07415771484375,
0.02520751953125,
0.0233917236328125,
0.0251922607421875,
-0.01070404052734375,
-0.04681396484375,
0.0352783203125,
0.0396728515625,
-0.052642822265625,
-0.04705810546875,
-0.004817962646484375,
-0.086669921875,
0.001926422119140625,
0.06402587890625,
-0.011383056640625,
-0.0296783447265625,
0.023468017578125,
-0.004650115966796875,
0.0194244384765625,
-0.0447998046875,
0.035308837890625,
0.04388427734375,
-0.031768798828125,
0.0012054443359375,
-0.05230712890625,
0.03729248046875,
0.025634765625,
-0.056610107421875,
-0.04571533203125,
0.030242919921875,
0.0357666015625,
0.011474609375,
0.054168701171875,
-0.00937652587890625,
0.0254364013671875,
0.0176544189453125,
0.02154541015625,
-0.0198822021484375,
-0.0017518997192382812,
-0.038818359375,
-0.002162933349609375,
-0.00445556640625,
-0.063720703125
]
] |
badokorach/flan-t5-small-qa-91 | 2023-09-28T14:35:47.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | badokorach | null | null | badokorach/flan-t5-small-qa-91 | 0 | 2 | transformers | 2023-09-28T12:33:04 | ---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small-qa-91
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-small-qa-91
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0727
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1207 | 1.0 | 500 | 0.0685 |
| 0.1176 | 2.0 | 1000 | 0.0693 |
| 0.116 | 3.0 | 1500 | 0.0696 |
| 0.1152 | 4.0 | 2000 | 0.0709 |
| 0.1138 | 5.0 | 2500 | 0.0703 |
| 0.1134 | 6.0 | 3000 | 0.0717 |
| 0.1125 | 7.0 | 3500 | 0.0707 |
| 0.1119 | 8.0 | 4000 | 0.0710 |
| 0.1115 | 9.0 | 4500 | 0.0717 |
| 0.1113 | 10.0 | 5000 | 0.0713 |
| 0.111 | 11.0 | 5500 | 0.0721 |
| 0.1107 | 12.0 | 6000 | 0.0726 |
| 0.1106 | 13.0 | 6500 | 0.0721 |
| 0.111 | 14.0 | 7000 | 0.0720 |
| 0.1108 | 15.0 | 7500 | 0.0721 |
| 0.1106 | 16.0 | 8000 | 0.0722 |
| 0.1104 | 17.0 | 8500 | 0.0729 |
| 0.1102 | 18.0 | 9000 | 0.0727 |
| 0.1101 | 19.0 | 9500 | 0.0727 |
| 0.11 | 20.0 | 10000 | 0.0727 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
| 2,271 | [
[
-0.038818359375,
-0.03704833984375,
0.0139617919921875,
-0.001338958740234375,
-0.01073455810546875,
-0.0217437744140625,
-0.0011005401611328125,
-0.01232147216796875,
0.02337646484375,
0.0217742919921875,
-0.0528564453125,
-0.042510986328125,
-0.04803466796875,
-0.008758544921875,
-0.01332855224609375,
0.07421875,
0.0031566619873046875,
0.01274871826171875,
0.004512786865234375,
-0.006378173828125,
-0.0277252197265625,
-0.0240936279296875,
-0.065673828125,
-0.035858154296875,
0.0279083251953125,
0.036895751953125,
0.0604248046875,
0.053192138671875,
0.040924072265625,
0.019287109375,
-0.0289154052734375,
-0.0029621124267578125,
-0.03924560546875,
-0.04425048828125,
0.0071258544921875,
-0.038055419921875,
-0.045196533203125,
-0.00414276123046875,
0.040191650390625,
0.034637451171875,
-0.00994873046875,
0.04266357421875,
0.002162933349609375,
0.044921875,
-0.033416748046875,
0.01398468017578125,
-0.021453857421875,
0.0254058837890625,
-0.01189422607421875,
-0.0186004638671875,
-0.00366973876953125,
-0.014892578125,
0.006816864013671875,
-0.042022705078125,
0.04376220703125,
0.0036640167236328125,
0.10858154296875,
0.0189971923828125,
-0.02178955078125,
0.005523681640625,
-0.053009033203125,
0.04864501953125,
-0.051910400390625,
0.018585205078125,
0.03045654296875,
0.0361328125,
0.00389862060546875,
-0.06451416015625,
-0.044097900390625,
0.01544189453125,
-0.01076507568359375,
0.00821685791015625,
-0.0114898681640625,
-0.007343292236328125,
0.043121337890625,
0.055206298828125,
-0.04443359375,
0.006580352783203125,
-0.0491943359375,
-0.018402099609375,
0.047088623046875,
0.03216552734375,
0.0027923583984375,
-0.0216827392578125,
-0.032745361328125,
-0.0196533203125,
-0.0230560302734375,
0.025909423828125,
0.042999267578125,
0.019317626953125,
-0.033660888671875,
0.036285400390625,
-0.01727294921875,
0.047149658203125,
0.0140228271484375,
-0.02520751953125,
0.04864501953125,
-0.01268768310546875,
-0.038299560546875,
-0.0013113021850585938,
0.0538330078125,
0.0419921875,
0.0063629150390625,
0.02069091796875,
-0.026641845703125,
-0.00901031494140625,
0.0164337158203125,
-0.0684814453125,
-0.02825927734375,
0.0239105224609375,
-0.046875,
-0.04931640625,
0.0173797607421875,
-0.053192138671875,
0.00872802734375,
-0.021942138671875,
0.03607177734375,
-0.0211639404296875,
-0.0226593017578125,
0.00024044513702392578,
-0.01165771484375,
0.0292205810546875,
0.019195556640625,
-0.0704345703125,
0.0212860107421875,
0.032958984375,
0.059112548828125,
0.018524169921875,
-0.0131378173828125,
-0.01258087158203125,
0.00846099853515625,
-0.0308685302734375,
0.044830322265625,
-0.009429931640625,
-0.03387451171875,
-0.01045989990234375,
0.0306854248046875,
-0.018829345703125,
-0.033782958984375,
0.058013916015625,
-0.0247650146484375,
0.029510498046875,
-0.0189056396484375,
-0.037017822265625,
-0.0276031494140625,
0.0234222412109375,
-0.054290771484375,
0.09149169921875,
0.0173492431640625,
-0.06640625,
0.046478271484375,
-0.046630859375,
-0.0014495849609375,
-0.006778717041015625,
-0.0096893310546875,
-0.06622314453125,
-0.008148193359375,
0.01511383056640625,
0.02783203125,
-0.023193359375,
0.0171051025390625,
-0.0202789306640625,
-0.03680419921875,
-0.0155029296875,
-0.02935791015625,
0.06878662109375,
0.01910400390625,
-0.045013427734375,
0.0201873779296875,
-0.08599853515625,
0.0165863037109375,
0.0283050537109375,
-0.0230560302734375,
0.00278472900390625,
-0.02996826171875,
0.0212554931640625,
0.02130126953125,
0.0166015625,
-0.033111572265625,
0.01395416259765625,
-0.028564453125,
0.031280517578125,
0.04779052734375,
0.015533447265625,
0.01004791259765625,
-0.0460205078125,
0.0254669189453125,
0.029510498046875,
0.0263671875,
0.0138092041015625,
-0.035858154296875,
-0.0782470703125,
-0.01480865478515625,
0.01351165771484375,
0.0281219482421875,
-0.0186309814453125,
0.048553466796875,
-0.01544189453125,
-0.050140380859375,
-0.02520751953125,
0.006275177001953125,
0.0184478759765625,
0.04559326171875,
0.0257720947265625,
-0.00119781494140625,
-0.0309295654296875,
-0.088623046875,
-0.000012636184692382812,
0.0015716552734375,
0.00817108154296875,
0.0205078125,
0.06536865234375,
-0.0149078369140625,
0.06243896484375,
-0.047149658203125,
-0.039276123046875,
-0.0159912109375,
0.0013380050659179688,
0.037200927734375,
0.050750732421875,
0.06732177734375,
-0.047454833984375,
-0.028472900390625,
-0.00045943260192871094,
-0.048309326171875,
0.02764892578125,
-0.0140533447265625,
-0.0162506103515625,
-0.0034580230712890625,
0.0127105712890625,
-0.028564453125,
0.06304931640625,
0.03643798828125,
-0.036346435546875,
0.049468994140625,
-0.030120849609375,
0.00714874267578125,
-0.08514404296875,
0.03216552734375,
0.0025196075439453125,
-0.0227813720703125,
-0.02947998046875,
-0.00612640380859375,
0.01131439208984375,
-0.0207672119140625,
-0.0310211181640625,
0.04998779296875,
-0.0186004638671875,
0.00457000732421875,
-0.0038967132568359375,
-0.0198516845703125,
0.0033206939697265625,
0.055450439453125,
0.00887298583984375,
0.0660400390625,
0.03997802734375,
-0.041961669921875,
0.0161895751953125,
0.0210418701171875,
-0.03509521484375,
0.032440185546875,
-0.054229736328125,
0.003387451171875,
0.0023956298828125,
-0.0034008026123046875,
-0.060302734375,
-0.0310516357421875,
0.0248260498046875,
-0.03045654296875,
0.01227569580078125,
-0.0114288330078125,
-0.01385498046875,
-0.048492431640625,
-0.021636962890625,
0.01232147216796875,
0.03155517578125,
-0.0389404296875,
0.035186767578125,
-0.007671356201171875,
0.0241241455078125,
-0.03778076171875,
-0.06494140625,
-0.01849365234375,
-0.0222930908203125,
-0.04888916015625,
0.021728515625,
0.00292205810546875,
0.0038356781005859375,
0.0008740425109863281,
-0.00975799560546875,
-0.0167999267578125,
-0.001964569091796875,
0.0250701904296875,
0.006938934326171875,
-0.0227813720703125,
-0.014190673828125,
-0.00787353515625,
-0.0188446044921875,
0.01070404052734375,
-0.0064544677734375,
0.04290771484375,
-0.0213623046875,
-0.02215576171875,
-0.0689697265625,
-0.003665924072265625,
0.035369873046875,
-0.01192474365234375,
0.07476806640625,
0.05523681640625,
-0.04278564453125,
-0.0032711029052734375,
-0.031951904296875,
-0.0112762451171875,
-0.03509521484375,
0.0257720947265625,
-0.047271728515625,
-0.03057861328125,
0.067138671875,
0.0016841888427734375,
0.01096343994140625,
0.07623291015625,
0.03485107421875,
0.003414154052734375,
0.078369140625,
0.02105712890625,
0.0007076263427734375,
0.0243682861328125,
-0.0731201171875,
0.0015115737915039062,
-0.04754638671875,
-0.037750244140625,
-0.035308837890625,
-0.033782958984375,
-0.040008544921875,
-0.003803253173828125,
0.023193359375,
0.0142974853515625,
-0.05804443359375,
0.00855255126953125,
-0.03607177734375,
0.024261474609375,
0.057952880859375,
0.0302581787109375,
0.004581451416015625,
-0.0024700164794921875,
-0.028717041015625,
-0.00902557373046875,
-0.05804443359375,
-0.036529541015625,
0.0841064453125,
0.030975341796875,
0.037567138671875,
0.0081024169921875,
0.057342529296875,
0.01190185546875,
0.010345458984375,
-0.04351806640625,
0.0176544189453125,
0.00513458251953125,
-0.0751953125,
-0.0170745849609375,
-0.0256500244140625,
-0.06256103515625,
0.0188140869140625,
-0.018280029296875,
-0.05413818359375,
0.032684326171875,
0.0221710205078125,
-0.038177490234375,
0.047454833984375,
-0.04071044921875,
0.08917236328125,
-0.020751953125,
-0.0273590087890625,
-0.0015459060668945312,
-0.03912353515625,
0.033660888671875,
-0.001079559326171875,
-0.0011968612670898438,
-0.00128173828125,
0.01174163818359375,
0.0667724609375,
-0.06365966796875,
0.044464111328125,
-0.023193359375,
0.0192413330078125,
0.0277099609375,
-0.00780487060546875,
0.044281005859375,
0.0183258056640625,
-0.0118865966796875,
0.0028133392333984375,
0.0173492431640625,
-0.049652099609375,
-0.035736083984375,
0.057525634765625,
-0.08416748046875,
-0.03375244140625,
-0.0499267578125,
-0.02020263671875,
0.00939178466796875,
0.0311279296875,
0.041015625,
0.042266845703125,
-0.0015821456909179688,
0.0191802978515625,
0.03875732421875,
-0.00550079345703125,
0.033111572265625,
0.01337432861328125,
-0.01177978515625,
-0.052032470703125,
0.061737060546875,
-0.00405120849609375,
0.0230560302734375,
0.0009694099426269531,
0.0224151611328125,
-0.022918701171875,
-0.0207977294921875,
-0.041351318359375,
0.0153656005859375,
-0.04901123046875,
-0.0179290771484375,
-0.0294189453125,
-0.026763916015625,
-0.0318603515625,
-0.0175323486328125,
-0.035858154296875,
-0.017547607421875,
-0.043487548828125,
-0.01153564453125,
0.03277587890625,
0.040557861328125,
0.007526397705078125,
0.04327392578125,
-0.048583984375,
-0.002887725830078125,
0.00966644287109375,
0.0224761962890625,
0.00994110107421875,
-0.056640625,
-0.02105712890625,
-0.0006766319274902344,
-0.033172607421875,
-0.052398681640625,
0.048614501953125,
0.01270294189453125,
0.040863037109375,
0.058929443359375,
-0.011444091796875,
0.07757568359375,
-0.01058197021484375,
0.06854248046875,
0.03167724609375,
-0.0504150390625,
0.046966552734375,
-0.024688720703125,
0.02606201171875,
0.04937744140625,
0.030609130859375,
-0.0232391357421875,
-0.002288818359375,
-0.09442138671875,
-0.055419921875,
0.06378173828125,
0.0233306884765625,
-0.006328582763671875,
0.016571044921875,
0.03082275390625,
-0.0164642333984375,
0.0137786865234375,
-0.061370849609375,
-0.047149658203125,
-0.0184478759765625,
-0.01177215576171875,
-0.004970550537109375,
-0.01416015625,
-0.0175933837890625,
-0.042694091796875,
0.061614990234375,
0.00276947021484375,
0.0272064208984375,
0.01558685302734375,
0.00841522216796875,
-0.0133514404296875,
-0.0015964508056640625,
0.056121826171875,
0.058624267578125,
-0.04437255859375,
-0.0063018798828125,
0.017181396484375,
-0.0377197265625,
0.00322723388671875,
0.0019130706787109375,
-0.0229644775390625,
0.004001617431640625,
0.033599853515625,
0.0704345703125,
0.0185089111328125,
-0.0063629150390625,
0.043853759765625,
-0.003753662109375,
-0.04046630859375,
-0.046661376953125,
0.0123443603515625,
-0.006130218505859375,
0.017181396484375,
0.0224151611328125,
0.028656005859375,
0.0019235610961914062,
-0.0227813720703125,
0.011688232421875,
0.0089111328125,
-0.039764404296875,
-0.012725830078125,
0.07525634765625,
0.00269317626953125,
-0.0221710205078125,
0.049102783203125,
-0.0074462890625,
-0.029876708984375,
0.0682373046875,
0.026641845703125,
0.05828857421875,
-0.0162506103515625,
-0.0023479461669921875,
0.0704345703125,
0.0195159912109375,
-0.0052032470703125,
0.041778564453125,
0.017425537109375,
-0.0243682861328125,
0.007625579833984375,
-0.053558349609375,
-0.009521484375,
0.04266357421875,
-0.0751953125,
0.043548583984375,
-0.042999267578125,
-0.034912109375,
0.004306793212890625,
0.022491455078125,
-0.08154296875,
0.049102783203125,
-0.0020465850830078125,
0.084716796875,
-0.0667724609375,
0.053314208984375,
0.048126220703125,
-0.053009033203125,
-0.08721923828125,
-0.0208282470703125,
-0.0023937225341796875,
-0.0599365234375,
0.049102783203125,
0.0079803466796875,
0.0211639404296875,
0.005992889404296875,
-0.029815673828125,
-0.07293701171875,
0.09466552734375,
0.00394439697265625,
-0.04974365234375,
0.0005769729614257812,
0.018402099609375,
0.0379638671875,
-0.0092926025390625,
0.04107666015625,
0.0310211181640625,
0.03472900390625,
0.01348876953125,
-0.06671142578125,
0.0003254413604736328,
-0.024322509765625,
0.007595062255859375,
0.01357269287109375,
-0.06622314453125,
0.07720947265625,
-0.01058197021484375,
0.0146331787109375,
0.0051422119140625,
0.055633544921875,
0.01535797119140625,
0.0219573974609375,
0.0382080078125,
0.06402587890625,
0.05364990234375,
-0.0185394287109375,
0.07733154296875,
-0.037841796875,
0.061004638671875,
0.06866455078125,
0.017181396484375,
0.0498046875,
0.029327392578125,
-0.024444580078125,
0.0283660888671875,
0.08056640625,
-0.0169677734375,
0.0305023193359375,
0.006183624267578125,
-0.00719451904296875,
-0.024169921875,
0.023162841796875,
-0.05047607421875,
0.0176544189453125,
0.01241302490234375,
-0.051849365234375,
-0.02069091796875,
-0.01436614990234375,
-0.0011005401611328125,
-0.0187835693359375,
-0.033843994140625,
0.034759521484375,
-0.0167388916015625,
-0.019866943359375,
0.056427001953125,
0.00701141357421875,
0.02911376953125,
-0.046844482421875,
0.0012836456298828125,
-0.0167388916015625,
0.036102294921875,
-0.039398193359375,
-0.044921875,
0.0163726806640625,
-0.0061492919921875,
-0.0137786865234375,
0.0079345703125,
0.029022216796875,
-0.01082611083984375,
-0.06243896484375,
0.0042877197265625,
0.017303466796875,
0.0084686279296875,
0.01406097412109375,
-0.06365966796875,
-0.0086822509765625,
0.00868988037109375,
-0.048553466796875,
0.00714874267578125,
0.0276031494140625,
-0.005603790283203125,
0.04376220703125,
0.042999267578125,
0.00103759765625,
0.0147552490234375,
0.006313323974609375,
0.07763671875,
-0.0516357421875,
-0.05523681640625,
-0.03875732421875,
0.032562255859375,
-0.0172119140625,
-0.06396484375,
0.045196533203125,
0.07598876953125,
0.06109619140625,
-0.01316070556640625,
0.040771484375,
-0.0090484619140625,
0.034088134765625,
-0.038604736328125,
0.0499267578125,
-0.061859130859375,
-0.003082275390625,
-0.01212310791015625,
-0.06353759765625,
-0.0163726806640625,
0.058380126953125,
-0.03485107421875,
0.017822265625,
0.04241943359375,
0.058807373046875,
-0.00978851318359375,
0.0094146728515625,
0.011474609375,
-0.006038665771484375,
0.022735595703125,
0.037506103515625,
0.0245208740234375,
-0.06317138671875,
0.03729248046875,
-0.057403564453125,
0.0017414093017578125,
-0.0173797607421875,
-0.0455322265625,
-0.06695556640625,
-0.0268707275390625,
-0.035491943359375,
-0.031494140625,
-0.007694244384765625,
0.06982421875,
0.057952880859375,
-0.06329345703125,
-0.018157958984375,
-0.005268096923828125,
-0.0207061767578125,
-0.0242767333984375,
-0.0188446044921875,
0.05511474609375,
-0.00814056396484375,
-0.061553955078125,
-0.01068878173828125,
-0.02166748046875,
0.0283203125,
-0.0215606689453125,
-0.0157318115234375,
-0.0227813720703125,
-0.0211029052734375,
0.008544921875,
0.009796142578125,
-0.04632568359375,
-0.033477783203125,
-0.01763916015625,
-0.0104522705078125,
0.0206146240234375,
0.0242919921875,
-0.027557373046875,
0.0265045166015625,
0.0267791748046875,
0.0252838134765625,
0.0582275390625,
0.0066375732421875,
0.0184326171875,
-0.0491943359375,
0.028228759765625,
0.00885009765625,
0.0251617431640625,
0.0011692047119140625,
-0.033203125,
0.04608154296875,
0.0345458984375,
-0.040313720703125,
-0.0587158203125,
-0.025909423828125,
-0.07672119140625,
0.0084381103515625,
0.08099365234375,
-0.00556182861328125,
-0.04132080078125,
0.0215911865234375,
-0.01117706298828125,
0.0124053955078125,
-0.0217437744140625,
0.032806396484375,
0.05523681640625,
-0.00916290283203125,
-0.00803375244140625,
-0.052337646484375,
0.04656982421875,
0.0169677734375,
-0.047393798828125,
-0.025970458984375,
0.016845703125,
0.04217529296875,
0.01212310791015625,
0.0266571044921875,
-0.0038280487060546875,
0.0211944580078125,
0.0217437744140625,
0.0142974853515625,
-0.02069091796875,
-0.0128021240234375,
-0.0246429443359375,
0.01157379150390625,
0.007564544677734375,
-0.035797119140625
]
] |
santiviquez/amazon-reviews-sentiment-distilbert-base-uncased-6000-samples | 2023-09-28T14:16:42.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:amazon_reviews_multi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | santiviquez | null | null | santiviquez/amazon-reviews-sentiment-distilbert-base-uncased-6000-samples | 0 | 2 | transformers | 2023-09-28T13:48:30 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
- f1
model-index:
- name: amazon-reviews-sentiment-distilbert-base-uncased-6000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
config: en
split: validation
args: en
metrics:
- name: Accuracy
type: accuracy
value: 0.7355
- name: F1
type: f1
value: 0.6586935295304587
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon-reviews-sentiment-distilbert-base-uncased-6000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6126
- Accuracy: 0.7355
- F1: 0.6587
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 188 | 0.6172 | 0.7335 | 0.6516 |
| No log | 2.0 | 376 | 0.6126 | 0.7355 | 0.6587 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.0
- Datasets 2.14.6.dev0
- Tokenizers 0.13.3
| 1,969 | [
[
-0.0350341796875,
-0.040313720703125,
0.01052093505859375,
0.0229339599609375,
-0.0307769775390625,
-0.0172119140625,
-0.005725860595703125,
-0.01129913330078125,
0.0013570785522460938,
0.0201873779296875,
-0.04425048828125,
-0.04302978515625,
-0.055694580078125,
-0.00804901123046875,
-0.0197906494140625,
0.10308837890625,
0.0172119140625,
0.03411865234375,
-0.00799560546875,
-0.0072174072265625,
-0.021575927734375,
-0.061920166015625,
-0.046966552734375,
-0.05194091796875,
0.0203094482421875,
0.01039886474609375,
0.06695556640625,
0.052459716796875,
0.048614501953125,
0.017974853515625,
-0.032470703125,
-0.01477813720703125,
-0.041534423828125,
-0.03558349609375,
0.0039215087890625,
-0.0304107666015625,
-0.06695556640625,
0.0025997161865234375,
0.040313720703125,
0.04345703125,
-0.0226287841796875,
0.04132080078125,
0.021148681640625,
0.05078125,
-0.03643798828125,
0.0257110595703125,
-0.037384033203125,
0.0239410400390625,
-0.0074310302734375,
-0.0255889892578125,
-0.0307769775390625,
0.0018558502197265625,
0.0107574462890625,
-0.033294677734375,
0.04510498046875,
-0.0011625289916992188,
0.07391357421875,
0.02880859375,
-0.03009033203125,
0.0018434524536132812,
-0.06854248046875,
0.0540771484375,
-0.06005859375,
0.0102386474609375,
0.024688720703125,
0.036102294921875,
-0.003215789794921875,
-0.045196533203125,
-0.04229736328125,
-0.0004973411560058594,
-0.01505279541015625,
0.0174407958984375,
-0.021270751953125,
0.0104217529296875,
0.058441162109375,
0.045654296875,
-0.04119873046875,
0.00677490234375,
-0.04522705078125,
-0.00888824462890625,
0.0499267578125,
0.025726318359375,
-0.03704833984375,
-0.01525115966796875,
-0.03790283203125,
-0.0184783935546875,
-0.0179901123046875,
0.021148681640625,
0.04779052734375,
0.0177764892578125,
-0.0193023681640625,
0.038909912109375,
-0.0288238525390625,
0.05438232421875,
0.017181396484375,
-0.01366424560546875,
0.0531005859375,
0.0076904296875,
-0.0377197265625,
0.0009174346923828125,
0.06689453125,
0.05645751953125,
0.01165008544921875,
0.0128021240234375,
-0.0306549072265625,
-0.005840301513671875,
0.025146484375,
-0.07476806640625,
-0.0284576416015625,
0.0167694091796875,
-0.05224609375,
-0.05352783203125,
0.0138092041015625,
-0.049407958984375,
-0.0004639625549316406,
-0.029571533203125,
0.02960205078125,
-0.0161895751953125,
-0.0162506103515625,
0.02154541015625,
-0.01154327392578125,
0.0033817291259765625,
0.0178985595703125,
-0.058837890625,
0.02874755859375,
0.0267791748046875,
0.035552978515625,
0.0094757080078125,
-0.0223236083984375,
-0.0029659271240234375,
-0.01047515869140625,
-0.01497650146484375,
0.03656005859375,
-0.004913330078125,
-0.03790283203125,
-0.01092529296875,
0.01329803466796875,
0.0147247314453125,
-0.040283203125,
0.062408447265625,
-0.02777099609375,
0.016357421875,
-0.014923095703125,
-0.03717041015625,
-0.0238800048828125,
0.033111572265625,
-0.06024169921875,
0.09442138671875,
0.0062713623046875,
-0.053955078125,
0.043426513671875,
-0.03765869140625,
-0.00885009765625,
-0.0034351348876953125,
-0.003070831298828125,
-0.0582275390625,
0.00899505615234375,
0.005615234375,
0.039398193359375,
-0.0237274169921875,
0.02203369140625,
-0.032135009765625,
-0.038330078125,
0.0122528076171875,
-0.05767822265625,
0.06719970703125,
0.0099639892578125,
-0.037353515625,
-0.0077362060546875,
-0.0953369140625,
0.0145111083984375,
0.0261077880859375,
-0.03759765625,
0.0064544677734375,
-0.0230255126953125,
0.028167724609375,
0.0182342529296875,
0.021575927734375,
-0.0328369140625,
0.009521484375,
-0.017974853515625,
0.017242431640625,
0.0452880859375,
0.0019273757934570312,
0.007556915283203125,
-0.03729248046875,
0.0234527587890625,
0.02886962890625,
0.037506103515625,
0.0142364501953125,
-0.027618408203125,
-0.0682373046875,
-0.005527496337890625,
0.02044677734375,
0.0231170654296875,
-0.01061248779296875,
0.07012939453125,
-0.0108642578125,
-0.056732177734375,
-0.0229339599609375,
0.013458251953125,
0.03515625,
0.05224609375,
0.040863037109375,
-0.01512908935546875,
-0.0301513671875,
-0.0863037109375,
0.01462554931640625,
-0.01019287109375,
0.00936126708984375,
-0.0006165504455566406,
0.039947509765625,
-0.00794219970703125,
0.062408447265625,
-0.04425048828125,
-0.0154876708984375,
-0.0076751708984375,
0.01300811767578125,
0.0435791015625,
0.047607421875,
0.0604248046875,
-0.036468505859375,
-0.0227813720703125,
-0.0263824462890625,
-0.056884765625,
0.0305328369140625,
-0.007297515869140625,
-0.02197265625,
-0.0144805908203125,
0.00830078125,
-0.04815673828125,
0.055999755859375,
0.0263214111328125,
-0.0106658935546875,
0.0540771484375,
-0.0283966064453125,
-0.0022125244140625,
-0.09173583984375,
0.01238250732421875,
0.0248260498046875,
-0.0010404586791992188,
-0.0194854736328125,
-0.016204833984375,
0.00244140625,
-0.0024127960205078125,
-0.02880859375,
0.024261474609375,
-0.0168304443359375,
0.01194000244140625,
-0.021697998046875,
-0.036895751953125,
0.02197265625,
0.062225341796875,
0.0153045654296875,
0.0261077880859375,
0.0450439453125,
-0.040679931640625,
0.044647216796875,
0.0294342041015625,
-0.0288238525390625,
0.04913330078125,
-0.07464599609375,
0.010467529296875,
-0.0099945068359375,
0.01678466796875,
-0.055633544921875,
0.002086639404296875,
0.02081298828125,
-0.03515625,
0.0166473388671875,
-0.0251007080078125,
-0.034088134765625,
-0.03729248046875,
-0.00801849365234375,
0.0167083740234375,
0.044189453125,
-0.039154052734375,
0.0186920166015625,
-0.002758026123046875,
0.01934814453125,
-0.0634765625,
-0.062469482421875,
-0.0286712646484375,
-0.0175018310546875,
-0.018157958984375,
0.019317626953125,
-0.0111236572265625,
-0.0020389556884765625,
-0.0023975372314453125,
-0.00870513916015625,
-0.016998291015625,
-0.0098114013671875,
0.0309600830078125,
0.0279388427734375,
-0.01371002197265625,
0.0028533935546875,
0.004425048828125,
-0.0229034423828125,
0.0261077880859375,
0.0036716461181640625,
0.033294677734375,
-0.0133514404296875,
-0.025146484375,
-0.0543212890625,
-0.003849029541015625,
0.04693603515625,
-0.005718231201171875,
0.058990478515625,
0.038299560546875,
-0.043701171875,
-0.01482391357421875,
-0.033111572265625,
-0.01971435546875,
-0.032318115234375,
0.041534423828125,
-0.0347900390625,
-0.003787994384765625,
0.043701171875,
0.004848480224609375,
0.01174163818359375,
0.070068359375,
0.041229248046875,
-0.009063720703125,
0.08245849609375,
0.0170135498046875,
-0.0129852294921875,
0.0121307373046875,
-0.058837890625,
-0.004604339599609375,
-0.0496826171875,
-0.032623291015625,
-0.04205322265625,
-0.038604736328125,
-0.034637451171875,
-0.0027713775634765625,
0.0115966796875,
0.025909423828125,
-0.044525146484375,
0.022918701171875,
-0.053558349609375,
0.02496337890625,
0.057830810546875,
0.02984619140625,
0.01479339599609375,
0.0154571533203125,
-0.0164337158203125,
-0.004482269287109375,
-0.05047607421875,
-0.04644775390625,
0.10162353515625,
0.0360107421875,
0.0662841796875,
-0.01226806640625,
0.044189453125,
0.0189666748046875,
0.011138916015625,
-0.04937744140625,
0.025360107421875,
0.005992889404296875,
-0.07354736328125,
-0.009552001953125,
-0.0224761962890625,
-0.0479736328125,
0.0131683349609375,
-0.034393310546875,
-0.0309600830078125,
0.015899658203125,
0.03460693359375,
-0.042236328125,
0.0313720703125,
-0.030303955078125,
0.07965087890625,
-0.044464111328125,
-0.0218963623046875,
-0.01104736328125,
-0.037506103515625,
-0.002410888671875,
0.01052093505859375,
-0.01418304443359375,
-0.003482818603515625,
0.029876708984375,
0.056610107421875,
-0.042724609375,
0.05230712890625,
-0.033111572265625,
0.0302276611328125,
0.03094482421875,
-0.017181396484375,
0.042510986328125,
0.0212554931640625,
-0.017303466796875,
0.0283966064453125,
-0.0006432533264160156,
-0.03857421875,
-0.041473388671875,
0.04248046875,
-0.0819091796875,
-0.013214111328125,
-0.0582275390625,
-0.0204315185546875,
-0.01263427734375,
0.01165771484375,
0.04925537109375,
0.052001953125,
-0.01546478271484375,
0.033843994140625,
0.040863037109375,
0.004688262939453125,
0.01922607421875,
0.02545166015625,
0.0029354095458984375,
-0.040863037109375,
0.047149658203125,
-0.00821685791015625,
0.00966644287109375,
0.01006317138671875,
0.0098724365234375,
-0.036895751953125,
-0.04827880859375,
-0.05914306640625,
0.0077056884765625,
-0.0606689453125,
-0.023193359375,
-0.0310821533203125,
-0.033843994140625,
-0.017822265625,
0.010162353515625,
-0.040863037109375,
-0.0214691162109375,
-0.04449462890625,
-0.038360595703125,
0.03533935546875,
0.040496826171875,
0.01666259765625,
0.05023193359375,
-0.054779052734375,
-0.010345458984375,
0.007965087890625,
0.0279388427734375,
0.006626129150390625,
-0.059906005859375,
-0.0245361328125,
0.0197906494140625,
-0.04241943359375,
-0.05108642578125,
0.0267791748046875,
-0.0002522468566894531,
0.05267333984375,
0.048065185546875,
0.0006389617919921875,
0.0718994140625,
-0.017730712890625,
0.05169677734375,
0.031402587890625,
-0.039642333984375,
0.0239105224609375,
-0.00982666015625,
0.01441192626953125,
0.055877685546875,
0.046356201171875,
-0.00449371337890625,
0.0016937255859375,
-0.08038330078125,
-0.0513916015625,
0.0596923828125,
0.0186920166015625,
0.01407623291015625,
0.0173187255859375,
0.0228729248046875,
0.00592803955078125,
0.03875732421875,
-0.0716552734375,
-0.047607421875,
-0.0297698974609375,
-0.011932373046875,
-0.01666259765625,
-0.034576416015625,
-0.01546478271484375,
-0.04302978515625,
0.07281494140625,
0.004146575927734375,
0.0152587890625,
-0.0025615692138671875,
0.006450653076171875,
-0.0064239501953125,
0.0048065185546875,
0.0281524658203125,
0.049224853515625,
-0.048980712890625,
-0.0021076202392578125,
0.01064300537109375,
-0.0313720703125,
0.0018215179443359375,
0.025299072265625,
-0.0094146728515625,
0.0175018310546875,
0.0180511474609375,
0.0811767578125,
0.003536224365234375,
-0.01220703125,
0.03607177734375,
-0.003269195556640625,
-0.031707763671875,
-0.046234130859375,
-0.006702423095703125,
-0.006977081298828125,
0.01222991943359375,
0.028839111328125,
0.03985595703125,
0.0152587890625,
-0.017791748046875,
0.011383056640625,
0.0146484375,
-0.03826904296875,
-0.02239990234375,
0.048553466796875,
0.016204833984375,
-0.0124053955078125,
0.06500244140625,
-0.019989013671875,
-0.0172882080078125,
0.05682373046875,
0.0279083251953125,
0.058349609375,
-0.001766204833984375,
0.0025653839111328125,
0.059906005859375,
0.01552581787109375,
-0.02001953125,
0.0254058837890625,
0.0098724365234375,
-0.041473388671875,
-0.005096435546875,
-0.069580078125,
-0.0175323486328125,
0.044677734375,
-0.09014892578125,
0.0325927734375,
-0.043975830078125,
-0.045623779296875,
0.02655029296875,
0.00493621826171875,
-0.070556640625,
0.05328369140625,
0.0015192031860351562,
0.06866455078125,
-0.0677490234375,
0.05706787109375,
0.047454833984375,
-0.039306640625,
-0.06756591796875,
-0.0213775634765625,
-0.005977630615234375,
-0.04766845703125,
0.0457763671875,
0.00949859619140625,
0.016204833984375,
-0.004364013671875,
-0.0200653076171875,
-0.044921875,
0.07196044921875,
0.0227813720703125,
-0.06243896484375,
0.0010623931884765625,
0.0294036865234375,
0.05706787109375,
-0.010406494140625,
0.054046630859375,
0.0175933837890625,
0.01031494140625,
0.0213775634765625,
-0.06695556640625,
-0.0126953125,
-0.034027099609375,
0.0009355545043945312,
-0.0010585784912109375,
-0.0501708984375,
0.0836181640625,
0.005756378173828125,
0.031494140625,
0.004276275634765625,
0.035675048828125,
0.0174102783203125,
0.021728515625,
0.0347900390625,
0.070068359375,
0.0333251953125,
-0.0112762451171875,
0.063720703125,
-0.039764404296875,
0.060150146484375,
0.090087890625,
-0.00750732421875,
0.044464111328125,
0.024261474609375,
-0.031524658203125,
0.033966064453125,
0.059295654296875,
-0.029327392578125,
0.0333251953125,
0.0173797607421875,
-0.00392913818359375,
-0.02166748046875,
0.026458740234375,
-0.050750732421875,
0.0273590087890625,
0.00022292137145996094,
-0.05975341796875,
-0.019256591796875,
-0.0228271484375,
-0.0073394775390625,
-0.013519287109375,
-0.0230865478515625,
0.037628173828125,
-0.0147857666015625,
-0.030303955078125,
0.06219482421875,
0.007228851318359375,
0.036376953125,
-0.04217529296875,
-0.0145263671875,
-0.0014581680297851562,
0.04278564453125,
-0.0282135009765625,
-0.039947509765625,
0.01485443115234375,
0.0008087158203125,
-0.029693603515625,
-0.004077911376953125,
0.0236663818359375,
-0.0132598876953125,
-0.07672119140625,
0.0111083984375,
0.025421142578125,
0.0143585205078125,
-0.012908935546875,
-0.084716796875,
-0.00841522216796875,
-0.00511932373046875,
-0.040863037109375,
0.007293701171875,
0.022735595703125,
0.01152801513671875,
0.0297698974609375,
0.047943115234375,
-0.0008940696716308594,
0.0010404586791992188,
0.0106964111328125,
0.06683349609375,
-0.039276123046875,
-0.0389404296875,
-0.05859375,
0.05224609375,
-0.0308990478515625,
-0.065673828125,
0.04998779296875,
0.08355712890625,
0.07666015625,
-0.0244598388671875,
0.052093505859375,
0.00405120849609375,
0.033294677734375,
-0.02545166015625,
0.05169677734375,
-0.03704833984375,
-0.002750396728515625,
-0.022186279296875,
-0.07330322265625,
0.0038585662841796875,
0.05938720703125,
-0.0146484375,
0.0211181640625,
0.040618896484375,
0.053192138671875,
-0.006725311279296875,
0.0048065185546875,
0.01444244384765625,
-0.005146026611328125,
0.0025920867919921875,
0.0307464599609375,
0.037628173828125,
-0.06060791015625,
0.041534423828125,
-0.06298828125,
-0.0237274169921875,
-0.01145172119140625,
-0.053558349609375,
-0.07781982421875,
-0.0217132568359375,
-0.0313720703125,
-0.041168212890625,
-0.005687713623046875,
0.06982421875,
0.068115234375,
-0.06292724609375,
-0.0294952392578125,
-0.0010585784912109375,
-0.034912109375,
-0.032745361328125,
-0.01519775390625,
0.025726318359375,
0.00391387939453125,
-0.06658935546875,
-0.0082244873046875,
-0.0189361572265625,
0.02166748046875,
-0.0270843505859375,
-0.017120361328125,
0.0026645660400390625,
-0.0276336669921875,
0.016326904296875,
-0.006443023681640625,
-0.0300750732421875,
-0.00740814208984375,
-0.0004897117614746094,
-0.00951385498046875,
0.0178375244140625,
0.0280609130859375,
-0.0322265625,
0.034332275390625,
0.02093505859375,
0.0186004638671875,
0.053924560546875,
0.00756072998046875,
0.017059326171875,
-0.05572509765625,
0.03558349609375,
0.0316162109375,
0.040771484375,
0.01033782958984375,
-0.033660888671875,
0.0237274169921875,
0.033966064453125,
-0.040130615234375,
-0.0587158203125,
-0.01007843017578125,
-0.0872802734375,
0.01242828369140625,
0.07989501953125,
-0.0032978057861328125,
-0.0211181640625,
0.02825927734375,
-0.0166473388671875,
0.0182342529296875,
-0.0298004150390625,
0.0535888671875,
0.05804443359375,
-0.0020198822021484375,
0.0157012939453125,
-0.035400390625,
0.0362548828125,
0.024078369140625,
-0.040771484375,
-0.01332855224609375,
0.03875732421875,
0.03460693359375,
0.0142364501953125,
0.0285797119140625,
-0.01390838623046875,
0.0207366943359375,
0.0152740478515625,
0.026275634765625,
-0.0309906005859375,
-0.0243072509765625,
-0.0283203125,
0.00527191162109375,
0.0174560546875,
-0.04071044921875
]
] |
anders0204/pyramids | 2023-09-28T14:38:24.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | anders0204 | null | null | anders0204/pyramids | 0 | 2 | ml-agents | 2023-09-28T14:38:22 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
- A *longer tutorial* to understand how works ML-Agents:
https://huggingface.co/learn/deep-rl-course/unit5/introduction
### Resume the training
```bash
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
```
### Watch your Agent play
You can watch your agent **playing directly in your browser**
1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
2. Step 1: Find your model_id: anders0204/pyramids
3. Step 2: Select your *.nn /*.onnx file
4. Click on Watch the agent play 👀
| 1,331 | [
[
-0.041412353515625,
-0.034820556640625,
0.00225067138671875,
0.01407623291015625,
-0.010101318359375,
0.0118560791015625,
0.016204833984375,
-0.0154571533203125,
0.033355712890625,
0.0306396484375,
-0.040924072265625,
-0.05096435546875,
-0.0296173095703125,
-0.01507568359375,
0.01251983642578125,
0.09619140625,
0.00698089599609375,
0.0311126708984375,
-0.0010614395141601562,
0.009490966796875,
0.004093170166015625,
-0.01239776611328125,
-0.06988525390625,
-0.0599365234375,
0.036651611328125,
0.0234222412109375,
0.06396484375,
0.0433349609375,
0.029449462890625,
0.0291748046875,
-0.0030536651611328125,
-0.035552978515625,
-0.03790283203125,
-0.00759124755859375,
-0.0117645263671875,
-0.0313720703125,
-0.058837890625,
0.02642822265625,
0.047760009765625,
0.019439697265625,
-0.0224456787109375,
0.01690673828125,
-0.028411865234375,
0.031463623046875,
-0.034820556640625,
0.0169830322265625,
-0.0133514404296875,
0.035003662109375,
0.023040771484375,
-0.01593017578125,
-0.0252685546875,
-0.024261474609375,
0.0280609130859375,
-0.066650390625,
0.0011377334594726562,
-0.017364501953125,
0.0865478515625,
0.020660400390625,
-0.03375244140625,
-0.0227813720703125,
-0.036285400390625,
0.047760009765625,
-0.0304718017578125,
0.00485992431640625,
0.036102294921875,
0.052154541015625,
-0.02685546875,
-0.07843017578125,
-0.028961181640625,
-0.052398681640625,
0.00406646728515625,
0.00641632080078125,
-0.00289154052734375,
0.01904296875,
0.035614013671875,
0.0237579345703125,
-0.0313720703125,
-0.00970458984375,
-0.017578125,
-0.0200653076171875,
0.0479736328125,
0.00853729248046875,
0.02215576171875,
0.017181396484375,
-0.04364013671875,
-0.035125732421875,
-0.048675537109375,
0.044525146484375,
0.03131103515625,
0.00203704833984375,
-0.036376953125,
0.05792236328125,
0.005344390869140625,
0.0211944580078125,
0.029571533203125,
-0.03753662109375,
0.016143798828125,
0.016937255859375,
-0.024017333984375,
-0.0013942718505859375,
0.038604736328125,
0.023406982421875,
0.0209197998046875,
-0.0166778564453125,
-0.0289459228515625,
-0.0040130615234375,
0.036102294921875,
-0.0699462890625,
-0.037261962890625,
0.0165863037109375,
-0.03338623046875,
-0.037445068359375,
0.004302978515625,
-0.031219482421875,
-0.02032470703125,
-0.01416015625,
0.0347900390625,
-0.0379638671875,
-0.038177490234375,
0.00579071044921875,
-0.02996826171875,
0.05047607421875,
0.01313018798828125,
-0.058624267578125,
0.0268096923828125,
0.04400634765625,
0.03973388671875,
0.039459228515625,
-0.05267333984375,
-0.04266357421875,
0.006786346435546875,
-0.014556884765625,
0.051910400390625,
-0.0186614990234375,
-0.02398681640625,
0.01255035400390625,
-0.0011882781982421875,
-0.0032253265380859375,
-0.042724609375,
0.01328277587890625,
-0.05023193359375,
0.015838623046875,
0.0096435546875,
-0.04833984375,
-0.02105712890625,
0.03485107421875,
-0.035064697265625,
0.06719970703125,
0.028839111328125,
-0.036895751953125,
0.020233154296875,
-0.06793212890625,
-0.028564453125,
0.00714111328125,
-0.0028285980224609375,
-0.03546142578125,
-0.01195526123046875,
-0.0236358642578125,
0.0282135009765625,
0.0204315185546875,
-0.00972747802734375,
-0.028106689453125,
-0.02996826171875,
0.020050048828125,
0.017059326171875,
0.07012939453125,
0.008453369140625,
-0.03070068359375,
0.0323486328125,
-0.057708740234375,
0.0011625289916992188,
0.01424407958984375,
-0.035247802734375,
0.0212860107421875,
-0.0052642822265625,
0.0021762847900390625,
0.027099609375,
0.0283203125,
-0.0286102294921875,
0.05047607421875,
-0.01904296875,
0.002216339111328125,
0.0491943359375,
-0.017181396484375,
0.052947998046875,
-0.0384521484375,
0.053497314453125,
0.002704620361328125,
0.027923583984375,
-0.0018663406372070312,
-0.0303802490234375,
-0.054046630859375,
-0.0293121337890625,
0.0108642578125,
0.04266357421875,
-0.058502197265625,
0.0445556640625,
0.01404571533203125,
-0.051605224609375,
-0.045684814453125,
-0.01351165771484375,
0.031402587890625,
0.00878143310546875,
0.01367950439453125,
-0.03778076171875,
-0.0355224609375,
-0.045257568359375,
0.0242462158203125,
-0.01361846923828125,
-0.024932861328125,
0.0247344970703125,
0.0543212890625,
-0.02838134765625,
0.06988525390625,
-0.019439697265625,
-0.030029296875,
-0.007843017578125,
0.006008148193359375,
0.0018672943115234375,
0.039825439453125,
0.052154541015625,
-0.043426513671875,
-0.0298614501953125,
-0.01039886474609375,
-0.0755615234375,
0.0214996337890625,
0.0014848709106445312,
-0.004306793212890625,
-0.00424957275390625,
0.0191802978515625,
-0.0555419921875,
0.0290679931640625,
0.033477783203125,
-0.05712890625,
0.055023193359375,
-0.0175018310546875,
-0.00946807861328125,
-0.07098388671875,
0.00450897216796875,
0.00347137451171875,
-0.022491455078125,
-0.0313720703125,
0.028961181640625,
-0.0299072265625,
-0.01165008544921875,
-0.046844482421875,
0.04132080078125,
-0.034515380859375,
-0.03070068359375,
-0.0367431640625,
-0.00942230224609375,
-0.0156097412109375,
0.04522705078125,
-0.003265380859375,
0.045928955078125,
0.08782958984375,
-0.054656982421875,
0.045684814453125,
0.0296783447265625,
-0.005870819091796875,
0.028411865234375,
-0.04095458984375,
0.01486968994140625,
-0.017486572265625,
0.03765869140625,
-0.04730224609375,
-0.0090179443359375,
0.053863525390625,
-0.03997802734375,
0.037689208984375,
-0.03411865234375,
-0.01023101806640625,
-0.00853729248046875,
-0.02593994140625,
0.0033779144287109375,
0.03631591796875,
-0.039154052734375,
0.06072998046875,
0.052734375,
0.026885986328125,
-0.0660400390625,
-0.00832366943359375,
-0.00696563720703125,
-0.0186309814453125,
-0.03790283203125,
0.024017333984375,
-0.01480865478515625,
-0.01934814453125,
0.000705718994140625,
0.01256561279296875,
-0.0099029541015625,
0.017303466796875,
0.04095458984375,
0.0007433891296386719,
-0.028717041015625,
-0.018280029296875,
-0.0230865478515625,
-0.034088134765625,
0.0114898681640625,
-0.006107330322265625,
0.03948974609375,
-0.03717041015625,
-0.0015172958374023438,
-0.06072998046875,
-0.0029735565185546875,
0.0391845703125,
0.007312774658203125,
0.054840087890625,
0.0677490234375,
-0.02105712890625,
-0.0078887939453125,
-0.02099609375,
-0.045501708984375,
-0.037139892578125,
0.01009368896484375,
-0.0457763671875,
-0.051239013671875,
0.037017822265625,
-0.0277099609375,
0.006923675537109375,
0.0194244384765625,
0.03912353515625,
-0.022125244140625,
0.06829833984375,
0.0732421875,
-0.009063720703125,
0.048431396484375,
-0.05938720703125,
-0.015380859375,
-0.05078125,
-0.031219482421875,
-0.0290069580078125,
-0.028839111328125,
-0.03363037109375,
-0.014404296875,
0.0086669921875,
0.038543701171875,
-0.0457763671875,
0.0419921875,
-0.02294921875,
0.04217529296875,
0.04132080078125,
0.0009450912475585938,
0.0009245872497558594,
0.01143646240234375,
-0.01071929931640625,
0.0121917724609375,
-0.049468994140625,
-0.057373046875,
0.06719970703125,
0.0545654296875,
0.061737060546875,
0.012054443359375,
0.055419921875,
0.0139923095703125,
0.037322998046875,
-0.05352783203125,
0.0528564453125,
0.02557373046875,
-0.0401611328125,
-0.0258636474609375,
-0.0032863616943359375,
-0.06976318359375,
0.0169677734375,
-0.022979736328125,
-0.04443359375,
-0.00823211669921875,
0.0094451904296875,
-0.0115203857421875,
0.0281829833984375,
-0.0413818359375,
0.0888671875,
-0.00824737548828125,
-0.0153045654296875,
-0.020111083984375,
-0.053131103515625,
0.004375457763671875,
0.0469970703125,
-0.0226593017578125,
-0.01320648193359375,
-0.00537109375,
0.0269317626953125,
-0.0200653076171875,
0.058441162109375,
-0.042755126953125,
-0.004505157470703125,
0.0352783203125,
0.0212249755859375,
0.0296173095703125,
0.016998291015625,
0.007526397705078125,
0.0124664306640625,
-0.004039764404296875,
-0.046417236328125,
-0.0199432373046875,
0.0294647216796875,
-0.08819580078125,
-0.018707275390625,
-0.047943115234375,
-0.01515960693359375,
0.0254058837890625,
0.0004303455352783203,
0.0189056396484375,
-0.0001728534698486328,
-0.03228759765625,
-0.0028438568115234375,
0.038421630859375,
-0.006565093994140625,
0.035919189453125,
0.0543212890625,
-0.0272674560546875,
-0.0262451171875,
0.06103515625,
-0.0218658447265625,
-0.01212310791015625,
0.021636962890625,
0.00928497314453125,
-0.0256195068359375,
-0.035125732421875,
-0.047576904296875,
0.01277923583984375,
-0.0298004150390625,
-0.002727508544921875,
-0.02911376953125,
-0.0174560546875,
-0.034271240234375,
-0.010498046875,
-0.03717041015625,
-0.007617950439453125,
-0.033935546875,
-0.0024166107177734375,
0.0154876708984375,
0.050201416015625,
-0.0404052734375,
0.052734375,
-0.03851318359375,
0.020172119140625,
0.0301971435546875,
0.031158447265625,
-0.005779266357421875,
-0.02642822265625,
-0.028228759765625,
0.0021953582763671875,
-0.040679931640625,
-0.0582275390625,
0.0272369384765625,
0.00036263465881347656,
0.044189453125,
0.06414794921875,
-0.01512908935546875,
0.031768798828125,
-0.0286102294921875,
0.041168212890625,
0.016876220703125,
-0.045135498046875,
0.032318115234375,
-0.02911376953125,
0.0038242340087890625,
0.04736328125,
0.0545654296875,
-0.02947998046875,
-0.004734039306640625,
-0.054412841796875,
-0.04425048828125,
0.059814453125,
0.0208587646484375,
0.005496978759765625,
0.01357269287109375,
0.031646728515625,
-0.01436614990234375,
0.0209808349609375,
-0.08172607421875,
-0.04376220703125,
-0.021728515625,
0.0260162353515625,
0.0008535385131835938,
-0.022430419921875,
-0.0227813720703125,
-0.0279998779296875,
0.08416748046875,
-0.00963592529296875,
0.0306396484375,
0.004566192626953125,
-0.0034637451171875,
-0.040863037109375,
-0.0124664306640625,
0.03436279296875,
0.04876708984375,
-0.0477294921875,
-0.02398681640625,
-0.007137298583984375,
-0.0430908203125,
0.01255035400390625,
0.01186370849609375,
-0.006866455078125,
-0.0014867782592773438,
0.006519317626953125,
0.05877685546875,
0.0132598876953125,
-0.042877197265625,
0.04388427734375,
-0.0127716064453125,
-0.01543426513671875,
-0.070556640625,
0.01593017578125,
0.00827789306640625,
0.042205810546875,
0.01132965087890625,
-0.00792694091796875,
-0.004505157470703125,
-0.050872802734375,
0.028839111328125,
0.03790283203125,
-0.040557861328125,
-0.020111083984375,
0.034942626953125,
0.01424407958984375,
-0.051422119140625,
0.046783447265625,
-0.04046630859375,
-0.032562255859375,
0.07305908203125,
0.03851318359375,
0.06195068359375,
-0.0181427001953125,
0.04241943359375,
0.031829833984375,
0.0111083984375,
0.0143585205078125,
0.0209808349609375,
-0.00714111328125,
-0.0697021484375,
-0.02557373046875,
-0.03643798828125,
-0.042205810546875,
0.0127105712890625,
-0.0404052734375,
0.0265655517578125,
-0.0491943359375,
-0.00858306884765625,
0.00727081298828125,
0.02984619140625,
-0.042694091796875,
-0.0022487640380859375,
0.021453857421875,
0.0789794921875,
-0.0364990234375,
0.07867431640625,
0.0794677734375,
-0.040679931640625,
-0.0614013671875,
-0.0200653076171875,
-0.00696563720703125,
-0.059967041015625,
0.034881591796875,
0.01654052734375,
-0.004177093505859375,
0.0269317626953125,
-0.0673828125,
-0.038543701171875,
0.099609375,
0.0116729736328125,
-0.021728515625,
-0.0005145072937011719,
0.004467010498046875,
0.04461669921875,
-0.058624267578125,
0.056121826171875,
0.02642822265625,
0.0274200439453125,
0.02252197265625,
-0.04974365234375,
-0.0252685546875,
-0.01397705078125,
-0.0279998779296875,
-0.0084991455078125,
-0.045928955078125,
0.07073974609375,
-0.034271240234375,
-0.005687713623046875,
0.03271484375,
0.044525146484375,
0.030517578125,
0.043914794921875,
0.0430908203125,
0.0628662109375,
0.0299835205078125,
0.006282806396484375,
0.06689453125,
-0.0311126708984375,
0.056427001953125,
0.07440185546875,
-0.032806396484375,
0.04119873046875,
0.019439697265625,
-0.01003265380859375,
0.0631103515625,
0.061309814453125,
-0.0237579345703125,
0.032440185546875,
0.044525146484375,
-0.03656005859375,
-0.0194854736328125,
-0.007091522216796875,
-0.038604736328125,
0.03070068359375,
0.00902557373046875,
-0.01666259765625,
-0.0229949951171875,
0.005901336669921875,
-0.011962890625,
-0.0115509033203125,
-0.0335693359375,
0.08062744140625,
-0.001583099365234375,
-0.037353515625,
0.0292205810546875,
0.01342010498046875,
0.045623779296875,
-0.0643310546875,
-0.0246429443359375,
-0.0162811279296875,
0.02984619140625,
-0.00946044921875,
-0.042205810546875,
-0.01611328125,
-0.0198516845703125,
-0.0021800994873046875,
-0.015838623046875,
0.052001953125,
-0.0239715576171875,
-0.003681182861328125,
0.042510986328125,
0.037689208984375,
0.04339599609375,
-0.0029392242431640625,
-0.08721923828125,
-0.032806396484375,
-0.0089569091796875,
-0.0299835205078125,
0.051544189453125,
0.00966644287109375,
0.035125732421875,
0.06732177734375,
0.041961669921875,
-0.0177001953125,
-0.0035228729248046875,
-0.001190185546875,
0.07379150390625,
-0.053070068359375,
-0.034881591796875,
-0.040679931640625,
0.048736572265625,
0.006927490234375,
-0.03631591796875,
0.03948974609375,
0.05963134765625,
0.0811767578125,
-0.0367431640625,
0.020294189453125,
-0.0156402587890625,
0.00624847412109375,
-0.00937652587890625,
0.06103515625,
-0.02923583984375,
-0.01168060302734375,
0.0009274482727050781,
-0.07147216796875,
0.0034770965576171875,
0.0762939453125,
0.01117706298828125,
-0.0027008056640625,
0.02716064453125,
0.0693359375,
-0.00855255126953125,
-0.0112457275390625,
0.0290374755859375,
0.023590087890625,
0.00653076171875,
0.032928466796875,
0.077392578125,
-0.0443115234375,
0.037017822265625,
-0.046600341796875,
-0.0218963623046875,
-0.01239013671875,
-0.053619384765625,
-0.08270263671875,
-0.01141357421875,
-0.030975341796875,
-0.0660400390625,
0.0037250518798828125,
0.0758056640625,
0.0692138671875,
-0.05413818359375,
-0.050750732421875,
-0.0019273757934570312,
0.0266265869140625,
-0.023529052734375,
-0.0168914794921875,
0.01763916015625,
-0.015411376953125,
-0.056365966796875,
0.035491943359375,
-0.000013768672943115234,
0.0295867919921875,
-0.032928466796875,
-0.041656494140625,
-0.0283355712890625,
-0.031341552734375,
0.032806396484375,
0.052825927734375,
-0.0228424072265625,
-0.0054168701171875,
-0.0164337158203125,
-0.027069091796875,
0.01041412353515625,
0.06829833984375,
-0.072021484375,
0.006465911865234375,
0.0096282958984375,
0.006923675537109375,
0.040252685546875,
-0.01654052734375,
0.02899169921875,
-0.042724609375,
0.0240478515625,
0.0276031494140625,
0.017547607421875,
-0.0030059814453125,
-0.0209808349609375,
0.04736328125,
0.020416259765625,
-0.0504150390625,
-0.03582763671875,
0.01824951171875,
-0.07733154296875,
-0.016204833984375,
0.06585693359375,
-0.0274658203125,
-0.016998291015625,
-0.003963470458984375,
-0.032958984375,
0.029754638671875,
-0.0350341796875,
0.06768798828125,
0.025360107421875,
-0.0029468536376953125,
-0.006458282470703125,
-0.0262603759765625,
0.05914306640625,
0.0159149169921875,
-0.043853759765625,
-0.045684814453125,
0.032806396484375,
0.025238037109375,
0.022064208984375,
0.051666259765625,
0.00780487060546875,
0.034759521484375,
0.0188140869140625,
0.040863037109375,
-0.0163421630859375,
-0.04345703125,
-0.038330078125,
0.0250396728515625,
-0.0013675689697265625,
-0.0308380126953125
]
] |
vineetsharma/databricks-dolly-15k-distilgpt2-v1 | 2023-09-28T19:23:57.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | vineetsharma | null | null | vineetsharma/databricks-dolly-15k-distilgpt2-v1 | 0 | 2 | transformers | 2023-09-28T18:13:40 | ---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: databricks-dolly-15k-distilgpt2-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# databricks-dolly-15k-distilgpt2-v1
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.3381
- eval_runtime: 25.854
- eval_samples_per_second: 58.057
- eval_steps_per_second: 7.272
- epoch: 5.01
- step: 7523
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,241 | [
[
-0.019134521484375,
-0.052947998046875,
0.00899505615234375,
0.0263824462890625,
-0.035552978515625,
-0.0170440673828125,
0.01203155517578125,
-0.005279541015625,
-0.00457000732421875,
0.0125579833984375,
-0.049102783203125,
-0.0239410400390625,
-0.06402587890625,
-0.007465362548828125,
-0.033721923828125,
0.09503173828125,
0.00559234619140625,
0.0247650146484375,
-0.020111083984375,
0.005489349365234375,
-0.0311279296875,
-0.034576416015625,
-0.048492431640625,
-0.04180908203125,
0.0209808349609375,
0.00606536865234375,
0.0599365234375,
0.0654296875,
0.046661376953125,
0.02056884765625,
-0.036468505859375,
-0.0181427001953125,
-0.05889892578125,
-0.0260772705078125,
-0.01194000244140625,
-0.0278167724609375,
-0.057525634765625,
0.006622314453125,
0.04180908203125,
0.01580810546875,
-0.0164794921875,
0.04473876953125,
0.0147552490234375,
0.05322265625,
-0.0390625,
0.036407470703125,
-0.0438232421875,
0.023345947265625,
-0.01149749755859375,
-0.01300048828125,
-0.0258941650390625,
-0.00366973876953125,
-0.002162933349609375,
-0.04547119140625,
0.032012939453125,
-0.006305694580078125,
0.07952880859375,
0.036865234375,
-0.0186614990234375,
0.00041675567626953125,
-0.062744140625,
0.047454833984375,
-0.032257080078125,
0.003917694091796875,
0.035614013671875,
0.049407958984375,
-0.0081787109375,
-0.0648193359375,
-0.039459228515625,
-0.01480865478515625,
-0.0192108154296875,
0.006725311279296875,
-0.0104827880859375,
-0.0038909912109375,
0.05853271484375,
0.03955078125,
-0.049957275390625,
0.0008568763732910156,
-0.054779052734375,
-0.014617919921875,
0.054931640625,
0.04437255859375,
-0.034454345703125,
-0.0182647705078125,
-0.041168212890625,
-0.0130462646484375,
-0.0222930908203125,
0.000011563301086425781,
0.044036865234375,
0.018218994140625,
-0.02386474609375,
0.05230712890625,
-0.03387451171875,
0.0599365234375,
0.007415771484375,
-0.01318359375,
0.03521728515625,
0.00029349327087402344,
-0.037353515625,
-0.0078277587890625,
0.05340576171875,
0.035736083984375,
0.00754547119140625,
0.0183868408203125,
-0.0245819091796875,
-0.0033512115478515625,
0.0243682861328125,
-0.07452392578125,
-0.04669189453125,
0.0163726806640625,
-0.038330078125,
-0.059051513671875,
-0.0017185211181640625,
-0.051239013671875,
-0.01361083984375,
-0.036865234375,
0.0506591796875,
-0.017578125,
-0.020660400390625,
0.005706787109375,
-0.00852203369140625,
0.01383209228515625,
0.0199432373046875,
-0.060211181640625,
0.0281219482421875,
0.032073974609375,
0.041015625,
0.01445770263671875,
-0.0195770263671875,
-0.0298614501953125,
-0.004032135009765625,
-0.01238250732421875,
0.02783203125,
-0.014007568359375,
-0.031494140625,
-0.01312255859375,
0.0158843994140625,
0.00585174560546875,
-0.04412841796875,
0.055511474609375,
-0.0253143310546875,
0.0160064697265625,
-0.014984130859375,
-0.038818359375,
-0.0140533447265625,
0.0292816162109375,
-0.0516357421875,
0.10333251953125,
0.02667236328125,
-0.046234130859375,
0.052734375,
-0.042694091796875,
-0.01142120361328125,
0.01247406005859375,
-0.002239227294921875,
-0.06744384765625,
0.005405426025390625,
-0.0007128715515136719,
0.04815673828125,
-0.025970458984375,
0.03271484375,
-0.0233154296875,
-0.0316162109375,
-0.004581451416015625,
-0.044281005859375,
0.05120849609375,
0.020599365234375,
-0.026275634765625,
-0.0018625259399414062,
-0.09698486328125,
0.006927490234375,
0.0291290283203125,
-0.037353515625,
0.01116180419921875,
-0.03521728515625,
0.03436279296875,
0.0194854736328125,
0.019866943359375,
-0.036590576171875,
0.02276611328125,
0.01018524169921875,
0.00627899169921875,
0.045684814453125,
-0.019866943359375,
-0.003856658935546875,
-0.026031494140625,
0.0185699462890625,
0.0186614990234375,
0.0355224609375,
0.0231475830078125,
-0.041229248046875,
-0.0545654296875,
-0.0178375244140625,
0.022552490234375,
0.01702880859375,
-0.0247039794921875,
0.0394287109375,
-0.00147247314453125,
-0.05267333984375,
-0.0299072265625,
0.00588226318359375,
0.0374755859375,
0.04931640625,
0.04315185546875,
-0.007518768310546875,
-0.0279998779296875,
-0.08514404296875,
0.007503509521484375,
-0.0103302001953125,
-0.0010890960693359375,
0.00048160552978515625,
0.051239013671875,
-0.004604339599609375,
0.06280517578125,
-0.0494384765625,
-0.01029205322265625,
-0.0249786376953125,
0.0087890625,
0.036346435546875,
0.055328369140625,
0.04986572265625,
-0.0439453125,
-0.0362548828125,
-0.015380859375,
-0.051727294921875,
0.0194854736328125,
-0.004302978515625,
-0.01369476318359375,
-0.0130157470703125,
0.007068634033203125,
-0.05084228515625,
0.07025146484375,
0.017181396484375,
-0.016937255859375,
0.053375244140625,
-0.029266357421875,
-0.002155303955078125,
-0.0826416015625,
0.017059326171875,
0.01318359375,
-0.00940704345703125,
-0.0250701904296875,
-0.01242828369140625,
0.002231597900390625,
-0.01265716552734375,
-0.032745361328125,
0.042236328125,
-0.00653839111328125,
0.00543975830078125,
-0.02386474609375,
-0.019989013671875,
0.00969696044921875,
0.043243408203125,
0.01154327392578125,
0.027557373046875,
0.059417724609375,
-0.053863525390625,
0.052520751953125,
0.04022216796875,
-0.027130126953125,
0.04022216796875,
-0.06280517578125,
0.01079559326171875,
-0.00870513916015625,
0.00843048095703125,
-0.05645751953125,
-0.0211181640625,
0.0291595458984375,
-0.02197265625,
0.038970947265625,
-0.034423828125,
-0.0226287841796875,
-0.0396728515625,
-0.0011758804321289062,
0.0277099609375,
0.045257568359375,
-0.050750732421875,
0.02642822265625,
0.0017881393432617188,
0.0203704833984375,
-0.044342041015625,
-0.05340576171875,
-0.026336669921875,
-0.021942138671875,
-0.02923583984375,
0.0145263671875,
0.0106964111328125,
-0.0012865066528320312,
-0.004833221435546875,
-0.0018520355224609375,
-0.016937255859375,
-0.01398468017578125,
0.018280029296875,
0.0210418701171875,
0.0023784637451171875,
-0.00017726421356201172,
-0.0008993148803710938,
-0.0364990234375,
0.015655517578125,
-0.0036830902099609375,
0.037872314453125,
-0.000021219253540039062,
-0.0252532958984375,
-0.061920166015625,
-0.0203857421875,
0.042327880859375,
0.004734039306640625,
0.06591796875,
0.068115234375,
-0.027862548828125,
0.005741119384765625,
-0.02593994140625,
-0.01284027099609375,
-0.0311126708984375,
0.058624267578125,
-0.041717529296875,
0.0010251998901367188,
0.034515380859375,
-0.001667022705078125,
-0.0024929046630859375,
0.06024169921875,
0.050048828125,
0.0081634521484375,
0.0635986328125,
0.01427459716796875,
-0.007091522216796875,
0.0150604248046875,
-0.06622314453125,
0.0006780624389648438,
-0.0528564453125,
-0.04388427734375,
-0.035736083984375,
-0.038360595703125,
-0.05364990234375,
-0.018096923828125,
0.01407623291015625,
0.01531219482421875,
-0.032012939453125,
0.0390625,
-0.041168212890625,
0.030517578125,
0.044708251953125,
0.031707763671875,
0.0006084442138671875,
0.004241943359375,
-0.00804901123046875,
0.0086669921875,
-0.062408447265625,
-0.036651611328125,
0.100830078125,
0.034576416015625,
0.06292724609375,
-0.01555633544921875,
0.032012939453125,
0.00518035888671875,
0.00018143653869628906,
-0.03955078125,
0.03277587890625,
0.007289886474609375,
-0.0723876953125,
-0.01983642578125,
-0.0229034423828125,
-0.050079345703125,
0.00614166259765625,
-0.018402099609375,
-0.050323486328125,
-0.0018110275268554688,
0.032470703125,
-0.022674560546875,
0.02630615234375,
-0.03253173828125,
0.08624267578125,
-0.010986328125,
-0.056304931640625,
-0.024078369140625,
-0.0394287109375,
0.01433563232421875,
0.0030193328857421875,
-0.0242919921875,
-0.00795745849609375,
0.03594970703125,
0.057220458984375,
-0.053863525390625,
0.029815673828125,
-0.0413818359375,
0.0309600830078125,
0.0439453125,
-0.0088653564453125,
0.059539794921875,
0.0303497314453125,
-0.0158538818359375,
0.008880615234375,
0.0005574226379394531,
-0.058624267578125,
-0.04034423828125,
0.042022705078125,
-0.06951904296875,
-0.0175018310546875,
-0.04095458984375,
-0.039886474609375,
0.00007420778274536133,
-0.019287109375,
0.03271484375,
0.055908203125,
-0.01418304443359375,
0.0205078125,
0.0278167724609375,
-0.0031452178955078125,
0.0266571044921875,
0.0176239013671875,
-0.01525115966796875,
-0.01702880859375,
0.05682373046875,
-0.0196685791015625,
0.01959228515625,
0.00916290283203125,
0.0182342529296875,
-0.045440673828125,
-0.04254150390625,
-0.050628662109375,
-0.0016832351684570312,
-0.0462646484375,
-0.0169525146484375,
-0.0294189453125,
-0.0304107666015625,
-0.00926971435546875,
0.0158538818359375,
-0.0499267578125,
-0.04119873046875,
-0.03155517578125,
-0.0271759033203125,
0.04705810546875,
0.061492919921875,
-0.0090789794921875,
0.049652099609375,
-0.04827880859375,
0.00323486328125,
0.028228759765625,
0.0272064208984375,
-0.00429534912109375,
-0.0687255859375,
-0.03155517578125,
0.0090179443359375,
-0.04254150390625,
-0.0274200439453125,
0.021636962890625,
-0.00440216064453125,
0.042205810546875,
0.0316162109375,
-0.01137542724609375,
0.06829833984375,
-0.0134735107421875,
0.05364990234375,
0.013641357421875,
-0.031402587890625,
0.03326416015625,
-0.0185394287109375,
0.01959228515625,
0.043853759765625,
0.040771484375,
0.01081085205078125,
0.004039764404296875,
-0.06829833984375,
-0.048492431640625,
0.0689697265625,
0.0467529296875,
0.009368896484375,
0.0174713134765625,
0.027862548828125,
0.01264190673828125,
0.01953125,
-0.059539794921875,
-0.0299224853515625,
-0.01123809814453125,
0.00537872314453125,
0.0012464523315429688,
-0.035491943359375,
-0.01496124267578125,
-0.049713134765625,
0.08404541015625,
0.012237548828125,
0.0174407958984375,
-0.01123809814453125,
0.005809783935546875,
-0.00482177734375,
-0.0176544189453125,
0.035003662109375,
0.054351806640625,
-0.047332763671875,
-0.0189361572265625,
0.01430511474609375,
-0.05419921875,
0.01313018798828125,
0.0264129638671875,
0.0006184577941894531,
0.0124359130859375,
0.0189208984375,
0.08441162109375,
-0.00891876220703125,
0.0019044876098632812,
0.023895263671875,
-0.0157012939453125,
-0.0218353271484375,
-0.0236358642578125,
0.005840301513671875,
-0.0160064697265625,
0.0157470703125,
0.0142059326171875,
0.020111083984375,
-0.00015676021575927734,
-0.012237548828125,
0.0172882080078125,
0.0130767822265625,
-0.038787841796875,
-0.024139404296875,
0.05914306640625,
0.01129150390625,
-0.02142333984375,
0.06787109375,
-0.0249786376953125,
-0.00933074951171875,
0.058807373046875,
0.0223541259765625,
0.071044921875,
-0.014678955078125,
0.01220703125,
0.06463623046875,
-0.00003445148468017578,
-0.00959014892578125,
0.022369384765625,
0.01035308837890625,
-0.0230712890625,
-0.0134124755859375,
-0.0750732421875,
-0.004779815673828125,
0.053131103515625,
-0.0814208984375,
0.06005859375,
-0.0273284912109375,
-0.020233154296875,
0.004314422607421875,
0.004779815673828125,
-0.0792236328125,
0.04876708984375,
-0.00785064697265625,
0.06512451171875,
-0.07208251953125,
0.0665283203125,
0.038360595703125,
-0.0225677490234375,
-0.06640625,
-0.0172271728515625,
0.003940582275390625,
-0.057098388671875,
0.05615234375,
0.0029773712158203125,
0.03472900390625,
-0.0031795501708984375,
-0.02105712890625,
-0.05615234375,
0.085205078125,
0.01300811767578125,
-0.06378173828125,
0.0273284912109375,
0.03515625,
0.043182373046875,
-0.009735107421875,
0.0621337890625,
0.039276123046875,
0.022857666015625,
0.03778076171875,
-0.07867431640625,
-0.016357421875,
-0.0186309814453125,
0.005382537841796875,
0.01148223876953125,
-0.04736328125,
0.0660400390625,
-0.0019006729125976562,
0.0321044921875,
0.0185699462890625,
0.032257080078125,
0.0171051025390625,
0.0248565673828125,
0.0196380615234375,
0.0704345703125,
0.035736083984375,
-0.0108795166015625,
0.0775146484375,
-0.034027099609375,
0.06439208984375,
0.08331298828125,
0.0030155181884765625,
0.0272674560546875,
0.0290679931640625,
-0.042999267578125,
0.005481719970703125,
0.0611572265625,
-0.01678466796875,
0.051361083984375,
0.031402587890625,
-0.009857177734375,
-0.00974273681640625,
0.023223876953125,
-0.049896240234375,
0.04229736328125,
-0.0019330978393554688,
-0.05364990234375,
-0.0289764404296875,
-0.02191162109375,
-0.006916046142578125,
-0.0224609375,
-0.0234832763671875,
0.039154052734375,
-0.024871826171875,
-0.0150909423828125,
0.059417724609375,
-0.006618499755859375,
0.003238677978515625,
-0.047698974609375,
-0.01235198974609375,
-0.01433563232421875,
0.035736083984375,
-0.016693115234375,
-0.0389404296875,
0.026214599609375,
-0.0012912750244140625,
-0.01175689697265625,
-0.00018990039825439453,
0.0298614501953125,
-0.0171356201171875,
-0.07196044921875,
0.00888824462890625,
0.021270751953125,
0.02880859375,
-0.005092620849609375,
-0.07000732421875,
0.004573822021484375,
0.00115203857421875,
-0.04547119140625,
0.035614013671875,
0.0292816162109375,
0.01456451416015625,
0.035675048828125,
0.0287322998046875,
-0.01776123046875,
-0.0010271072387695312,
0.0025959014892578125,
0.0858154296875,
-0.026885986328125,
-0.019439697265625,
-0.0694580078125,
0.06817626953125,
-0.0199737548828125,
-0.06597900390625,
0.0364990234375,
0.087890625,
0.072265625,
-0.030181884765625,
0.041290283203125,
-0.01346588134765625,
0.0245361328125,
-0.038055419921875,
0.043914794921875,
-0.0290679931640625,
0.0033435821533203125,
-0.0316162109375,
-0.08917236328125,
0.01001739501953125,
0.052490234375,
-0.018218994140625,
0.01403045654296875,
0.042327880859375,
0.07086181640625,
-0.019439697265625,
0.0089874267578125,
0.0287628173828125,
0.01052093505859375,
0.0106201171875,
0.0167083740234375,
0.045166015625,
-0.0679931640625,
0.03729248046875,
-0.0528564453125,
-0.02227783203125,
-0.0098876953125,
-0.056671142578125,
-0.07049560546875,
-0.031524658203125,
-0.0440673828125,
-0.0335693359375,
0.0033168792724609375,
0.061737060546875,
0.0635986328125,
-0.0556640625,
-0.0235595703125,
-0.01171112060546875,
-0.0235137939453125,
-0.01763916015625,
-0.01480865478515625,
0.034576416015625,
-0.00844573974609375,
-0.06573486328125,
-0.00469207763671875,
-0.0034999847412109375,
0.0166015625,
-0.01776123046875,
-0.018524169921875,
-0.01389312744140625,
-0.033935546875,
0.024505615234375,
-0.014923095703125,
-0.02099609375,
-0.01305389404296875,
-0.025360107421875,
0.00926971435546875,
0.0113983154296875,
0.0283966064453125,
-0.05267333984375,
0.039764404296875,
0.019927978515625,
0.01078033447265625,
0.08154296875,
0.007732391357421875,
0.0241851806640625,
-0.050140380859375,
0.049560546875,
0.0224761962890625,
0.0174713134765625,
0.009765625,
-0.0312042236328125,
0.045928955078125,
0.03082275390625,
-0.045623779296875,
-0.051971435546875,
-0.005809783935546875,
-0.063720703125,
0.0158843994140625,
0.08453369140625,
-0.005458831787109375,
-0.0308685302734375,
0.013458251953125,
-0.0194854736328125,
0.0221099853515625,
-0.01366424560546875,
0.06549072265625,
0.043914794921875,
-0.00585174560546875,
0.017822265625,
-0.046173095703125,
0.047332763671875,
0.01195526123046875,
-0.04180908203125,
-0.0078277587890625,
0.0216522216796875,
0.021881103515625,
-0.002117156982421875,
0.017547607421875,
-0.00881195068359375,
0.01517486572265625,
0.0286712646484375,
0.00731658935546875,
-0.0311279296875,
-0.03179931640625,
-0.01212310791015625,
-0.005428314208984375,
-0.0010833740234375,
-0.04840087890625
]
] |
Sooyung/ppo-LunarLander-v2 | 2023-09-28T18:26:38.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Sooyung | null | null | Sooyung/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-09-28T18:26:22 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 297.29 +/- 8.93
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 783 | [
[
-0.00020325183868408203,
-0.0271453857421875,
0.0170745849609375,
0.023345947265625,
-0.006069183349609375,
0.0027484893798828125,
0.034454345703125,
-0.0121307373046875,
0.019866943359375,
0.06500244140625,
-0.043182373046875,
-0.035247802734375,
-0.0343017578125,
-0.01922607421875,
0.001735687255859375,
0.06982421875,
0.0015916824340820312,
0.0281829833984375,
0.00954437255859375,
-0.007076263427734375,
-0.018341064453125,
-0.021881103515625,
-0.052032470703125,
-0.07147216796875,
0.011993408203125,
0.050201416015625,
0.054229736328125,
0.024261474609375,
0.028106689453125,
0.02923583984375,
-0.017669677734375,
-0.0322265625,
-0.04132080078125,
-0.001262664794921875,
-0.0006155967712402344,
-0.044403076171875,
-0.0633544921875,
0.01416015625,
0.03961181640625,
0.0040283203125,
-0.019866943359375,
0.004909515380859375,
-0.0283050537109375,
0.0311126708984375,
-0.037628173828125,
0.0157928466796875,
-0.01535797119140625,
0.0017604827880859375,
0.007343292236328125,
0.01079559326171875,
-0.0259552001953125,
-0.00983428955078125,
0.020660400390625,
-0.0906982421875,
-0.00533294677734375,
-0.0215301513671875,
0.09295654296875,
0.00942230224609375,
-0.03802490234375,
0.0012083053588867188,
-0.019012451171875,
0.034088134765625,
-0.0271759033203125,
0.0103607177734375,
0.049163818359375,
0.03619384765625,
0.0031585693359375,
-0.06915283203125,
-0.016357421875,
-0.0325927734375,
0.0010423660278320312,
0.031646728515625,
0.0155181884765625,
0.0167388916015625,
0.014984130859375,
0.0107269287109375,
-0.024078369140625,
0.0241241455078125,
-0.04608154296875,
-0.0239105224609375,
0.03558349609375,
0.01824951171875,
0.00533294677734375,
-0.0078125,
-0.035308837890625,
-0.0118408203125,
-0.0313720703125,
0.023040771484375,
0.030426025390625,
0.01284027099609375,
-0.058929443359375,
0.06585693359375,
-0.019073486328125,
0.031524658203125,
0.030303955078125,
-0.0003554821014404297,
0.0487060546875,
0.0093994140625,
-0.00791168212890625,
-0.0259857177734375,
0.039337158203125,
0.0675048828125,
0.004058837890625,
0.005626678466796875,
-0.03369140625,
-0.0187835693359375,
0.0120391845703125,
-0.05548095703125,
-0.024932861328125,
0.03375244140625,
-0.019805908203125,
-0.048797607421875,
0.0350341796875,
-0.041778564453125,
-0.02508544921875,
-0.0006732940673828125,
0.0271759033203125,
-0.047210693359375,
-0.041290283203125,
0.004337310791015625,
-0.032470703125,
0.050140380859375,
0.00983428955078125,
-0.06329345703125,
0.030914306640625,
0.04852294921875,
0.0660400390625,
0.041229248046875,
-0.0479736328125,
-0.0491943359375,
0.0135040283203125,
-0.031524658203125,
0.05523681640625,
0.0172882080078125,
-0.033721923828125,
0.02178955078125,
0.0003936290740966797,
0.01497650146484375,
-0.035675048828125,
0.0181732177734375,
-0.032989501953125,
0.02069091796875,
0.006580352783203125,
-0.0308837890625,
-0.000762939453125,
0.03253173828125,
-0.04571533203125,
0.0982666015625,
0.060394287109375,
-0.039886474609375,
0.0260162353515625,
-0.046173095703125,
-0.005283355712890625,
0.036407470703125,
0.017578125,
-0.050689697265625,
-0.0019855499267578125,
-0.0310516357421875,
0.01299285888671875,
0.004795074462890625,
0.0030460357666015625,
-0.0262908935546875,
-0.0268402099609375,
0.005489349365234375,
0.056732177734375,
0.063720703125,
0.01561737060546875,
-0.0023632049560546875,
0.014434814453125,
-0.043670654296875,
-0.0099334716796875,
0.006317138671875,
-0.0202789306640625,
-0.01105499267578125,
-0.01715087890625,
0.037567138671875,
0.0171051025390625,
0.034027099609375,
-0.034393310546875,
0.035736083984375,
-0.039306640625,
0.014068603515625,
0.0498046875,
-0.00911712646484375,
0.05609130859375,
-0.0478515625,
0.023529052734375,
-0.01239013671875,
0.0191497802734375,
0.01395416259765625,
-0.0253143310546875,
-0.045654296875,
-0.036346435546875,
-0.0020618438720703125,
0.0579833984375,
-0.08660888671875,
0.049041748046875,
0.0156097412109375,
-0.054840087890625,
-0.0146942138671875,
-0.01074981689453125,
0.03643798828125,
0.018890380859375,
0.0033092498779296875,
-0.006389617919921875,
-0.042510986328125,
-0.06072998046875,
0.017333984375,
-0.04833984375,
-0.01690673828125,
0.00005334615707397461,
0.047607421875,
-0.02423095703125,
0.058807373046875,
-0.0262451171875,
-0.0253143310546875,
-0.0228729248046875,
0.01383209228515625,
0.019866943359375,
0.053558349609375,
0.06768798828125,
-0.041107177734375,
-0.03668212890625,
-0.01904296875,
-0.063232421875,
-0.0302581787109375,
0.01091766357421875,
-0.01129150390625,
0.0008006095886230469,
0.0239105224609375,
-0.055023193359375,
0.00653076171875,
0.042572021484375,
-0.07159423828125,
0.051513671875,
-0.0263214111328125,
-0.00006830692291259766,
-0.09185791015625,
0.0130462646484375,
0.0162200927734375,
-0.0242919921875,
-0.055511474609375,
0.02374267578125,
0.01108551025390625,
-0.004291534423828125,
-0.050994873046875,
0.064453125,
-0.037841796875,
0.0016241073608398438,
-0.03228759765625,
-0.00922393798828125,
-0.01053619384765625,
-0.004238128662109375,
0.0018434524536132812,
0.04364013671875,
0.0792236328125,
-0.0303955078125,
0.043060302734375,
0.04290771484375,
0.007572174072265625,
0.053436279296875,
-0.042633056640625,
0.008880615234375,
-0.018463134765625,
0.0185546875,
-0.045166015625,
-0.044036865234375,
0.042388916015625,
-0.03570556640625,
0.0223388671875,
-0.032135009765625,
-0.0238037109375,
-0.033660888671875,
-0.04229736328125,
0.0134735107421875,
0.043975830078125,
-0.0208282470703125,
0.05322265625,
0.0489501953125,
0.00812530517578125,
-0.039276123046875,
-0.0307159423828125,
-0.01345062255859375,
-0.0196685791015625,
-0.0293731689453125,
0.032073974609375,
0.009429931640625,
-0.034393310546875,
-0.01560211181640625,
0.002521514892578125,
-0.01495361328125,
0.006198883056640625,
0.033416748046875,
0.0285797119140625,
-0.001712799072265625,
-0.020233154296875,
-0.0285797119140625,
-0.049652099609375,
-0.01038360595703125,
-0.010589599609375,
0.0472412109375,
-0.0189971923828125,
0.0263824462890625,
-0.05908203125,
-0.0034847259521484375,
0.05230712890625,
0.0175933837890625,
0.058624267578125,
0.030303955078125,
-0.0380859375,
-0.007122039794921875,
-0.02392578125,
-0.01154327392578125,
-0.03826904296875,
0.03167724609375,
-0.039703369140625,
-0.0400390625,
0.050628662109375,
0.00003898143768310547,
-0.0264129638671875,
0.041778564453125,
0.040374755859375,
-0.005706787109375,
0.046600341796875,
0.06878662109375,
-0.00760650634765625,
0.050628662109375,
-0.04937744140625,
-0.046478271484375,
-0.053619384765625,
-0.0423583984375,
-0.0268096923828125,
0.0167999267578125,
-0.028533935546875,
-0.017913818359375,
0.00933074951171875,
0.032196044921875,
-0.053375244140625,
0.0618896484375,
-0.030059814453125,
0.042510986328125,
0.0406494140625,
0.01079559326171875,
-0.0193634033203125,
-0.038116455078125,
-0.003299713134765625,
0.0158843994140625,
-0.0232696533203125,
-0.0380859375,
0.0682373046875,
0.039703369140625,
0.052459716796875,
0.00501251220703125,
0.044830322265625,
0.006420135498046875,
0.04473876953125,
-0.038604736328125,
0.033782958984375,
-0.01230621337890625,
-0.06317138671875,
-0.008209228515625,
-0.0222015380859375,
-0.052886962890625,
0.0129852294921875,
-0.030487060546875,
-0.0665283203125,
-0.0117645263671875,
0.006412506103515625,
-0.0196990966796875,
0.005279541015625,
-0.037078857421875,
0.07135009765625,
-0.0242919921875,
-0.0243682861328125,
0.01059722900390625,
-0.04791259765625,
0.0185394287109375,
0.01351165771484375,
-0.0036258697509765625,
-0.02490234375,
-0.018157958984375,
0.050048828125,
-0.032958984375,
0.043701171875,
-0.05755615234375,
0.01303863525390625,
0.0166015625,
0.0089263916015625,
0.0274658203125,
0.031951904296875,
-0.01171112060546875,
0.0013132095336914062,
0.005825042724609375,
-0.052276611328125,
-0.0032367706298828125,
0.031219482421875,
-0.0986328125,
-0.0046539306640625,
-0.057861328125,
-0.02325439453125,
0.009002685546875,
0.02008056640625,
0.03948974609375,
0.00940704345703125,
-0.02801513671875,
0.00020813941955566406,
0.005924224853515625,
0.00885772705078125,
0.0151824951171875,
0.061370849609375,
-0.0357666015625,
-0.061126708984375,
0.0298919677734375,
0.0017232894897460938,
-0.0007510185241699219,
0.0221405029296875,
0.005672454833984375,
-0.0225830078125,
-0.042083740234375,
-0.00984954833984375,
0.03094482421875,
-0.0251312255859375,
-0.01345062255859375,
-0.01134490966796875,
-0.0227508544921875,
-0.025634765625,
-0.0291290283203125,
-0.046112060546875,
-0.02044677734375,
-0.033111572265625,
-0.02252197265625,
0.025604248046875,
0.049957275390625,
-0.03021240234375,
0.08660888671875,
-0.034942626953125,
0.033355712890625,
0.010040283203125,
0.04132080078125,
-0.05865478515625,
-0.033782958984375,
-0.026611328125,
-0.0174560546875,
-0.03155517578125,
-0.06683349609375,
0.03271484375,
-0.0162200927734375,
0.05377197265625,
0.028167724609375,
-0.01082611083984375,
0.025482177734375,
-0.0115966796875,
0.05560302734375,
0.03338623046875,
-0.0716552734375,
0.0283050537109375,
-0.05120849609375,
0.00919342041015625,
0.0625,
0.014617919921875,
-0.0180206298828125,
-0.025909423828125,
-0.060150146484375,
-0.06915283203125,
0.08331298828125,
0.03216552734375,
-0.006000518798828125,
0.0221099853515625,
0.055267333984375,
-0.005458831787109375,
0.006805419921875,
-0.06524658203125,
-0.0196685791015625,
-0.0264129638671875,
-0.0126953125,
-0.019744873046875,
-0.01195526123046875,
-0.014068603515625,
0.004138946533203125,
0.06378173828125,
-0.01081085205078125,
0.020263671875,
0.006206512451171875,
-0.00852203369140625,
-0.0303802490234375,
-0.03729248046875,
0.028045654296875,
0.0230560302734375,
-0.06353759765625,
-0.015655517578125,
0.003692626953125,
-0.040679931640625,
0.0256500244140625,
0.043426513671875,
-0.0190887451171875,
-0.0178985595703125,
0.0283355712890625,
0.050506591796875,
0.0111541748046875,
-0.0197296142578125,
0.04638671875,
0.00818634033203125,
-0.034820556640625,
-0.053619384765625,
0.0029201507568359375,
-0.00614166259765625,
0.03729248046875,
0.020172119140625,
0.0103302001953125,
-0.00917816162109375,
-0.036956787109375,
0.0302581787109375,
0.0177001953125,
-0.050018310546875,
-0.036041259765625,
0.061126708984375,
0.0253143310546875,
-0.05633544921875,
0.044830322265625,
-0.0072479248046875,
-0.03973388671875,
0.06695556640625,
0.031707763671875,
0.0650634765625,
-0.025726318359375,
0.032989501953125,
0.03399658203125,
0.0132598876953125,
-0.025115966796875,
0.04010009765625,
0.0201568603515625,
-0.07379150390625,
-0.015960693359375,
-0.01181793212890625,
-0.0523681640625,
0.01551055908203125,
-0.04449462890625,
0.041534423828125,
-0.043975830078125,
-0.034820556640625,
0.0029125213623046875,
0.020721435546875,
-0.0294342041015625,
-0.005161285400390625,
0.0255584716796875,
0.0943603515625,
-0.06097412109375,
0.07122802734375,
0.07159423828125,
-0.037261962890625,
-0.038238525390625,
-0.0018529891967773438,
0.02777099609375,
-0.058074951171875,
0.04058837890625,
0.032196044921875,
0.0038814544677734375,
0.00968170166015625,
-0.054443359375,
-0.048919677734375,
0.1009521484375,
0.01381683349609375,
-0.0030879974365234375,
0.01629638671875,
-0.01515960693359375,
0.0469970703125,
-0.040618896484375,
0.0372314453125,
0.0236358642578125,
0.035797119140625,
0.0132904052734375,
-0.0660400390625,
-0.0251617431640625,
-0.03369140625,
-0.00858306884765625,
-0.00311279296875,
-0.07586669921875,
0.08154296875,
0.0029087066650390625,
0.0245208740234375,
0.063720703125,
0.034393310546875,
0.055877685546875,
0.0192718505859375,
0.03668212890625,
0.042572021484375,
0.01947021484375,
-0.0190277099609375,
0.0615234375,
-0.0224151611328125,
0.06500244140625,
0.05059814453125,
-0.059234619140625,
0.038970947265625,
0.02032470703125,
0.007198333740234375,
0.035736083984375,
0.045928955078125,
-0.01398468017578125,
0.056671142578125,
0.0138092041015625,
-0.008697509765625,
-0.006328582763671875,
0.0309295654296875,
-0.0193328857421875,
0.033416748046875,
0.01332855224609375,
0.00033736228942871094,
-0.006145477294921875,
-0.0013456344604492188,
0.002788543701171875,
-0.003322601318359375,
-0.031707763671875,
0.06964111328125,
-0.01198577880859375,
-0.047821044921875,
0.031951904296875,
0.0242462158203125,
0.04351806640625,
-0.062042236328125,
-0.00226593017578125,
-0.01030731201171875,
0.04559326171875,
0.0006155967712402344,
-0.07171630859375,
-0.002338409423828125,
-0.01418304443359375,
0.007904052734375,
-0.0176239013671875,
0.051849365234375,
-0.01439666748046875,
-0.0202789306640625,
0.05743408203125,
0.0252685546875,
0.002529144287109375,
0.0158233642578125,
-0.07073974609375,
-0.0129241943359375,
-0.035003662109375,
-0.037933349609375,
0.0160980224609375,
0.020965576171875,
0.0240325927734375,
0.05303955078125,
0.032257080078125,
-0.0011529922485351562,
-0.0248565673828125,
-0.00730133056640625,
0.06878662109375,
-0.048065185546875,
-0.05230712890625,
-0.033721923828125,
0.0780029296875,
-0.02264404296875,
-0.06011962890625,
0.0343017578125,
0.069580078125,
0.03912353515625,
-0.0216827392578125,
0.03887939453125,
-0.01433563232421875,
0.0219879150390625,
-0.03253173828125,
0.05548095703125,
-0.0188140869140625,
-0.00890350341796875,
-0.00931549072265625,
-0.051300048828125,
-0.034759521484375,
0.06903076171875,
-0.0013599395751953125,
-0.00460052490234375,
0.019744873046875,
0.053680419921875,
0.002597808837890625,
-0.0228729248046875,
0.0157470703125,
0.041107177734375,
0.00574493408203125,
0.0283355712890625,
0.07073974609375,
-0.04681396484375,
0.0111083984375,
-0.039154052734375,
-0.05157470703125,
-0.0189971923828125,
-0.0458984375,
-0.07586669921875,
-0.03143310546875,
-0.018646240234375,
-0.0701904296875,
0.0158843994140625,
0.0625,
0.0736083984375,
-0.04815673828125,
-0.050872802734375,
-0.0162506103515625,
-0.00771331787109375,
-0.01081085205078125,
-0.01270294189453125,
0.007465362548828125,
-0.004177093505859375,
-0.04766845703125,
0.01873779296875,
-0.0023860931396484375,
0.0282440185546875,
0.0009174346923828125,
-0.044219970703125,
-0.01311492919921875,
-0.023651123046875,
0.0187835693359375,
0.036834716796875,
-0.0215911865234375,
-0.028900146484375,
-0.0091400146484375,
-0.0176544189453125,
0.0026569366455078125,
0.036376953125,
-0.047332763671875,
0.004726409912109375,
0.0296173095703125,
-0.0267791748046875,
0.06414794921875,
0.0115814208984375,
0.042236328125,
-0.03955078125,
0.047149658203125,
0.018646240234375,
0.030487060546875,
0.01511383056640625,
-0.01529693603515625,
0.04852294921875,
0.02679443359375,
-0.050048828125,
-0.048309326171875,
0.01166534423828125,
-0.08441162109375,
-0.0160980224609375,
0.08331298828125,
0.0007529258728027344,
-0.013641357421875,
-0.004764556884765625,
-0.040985107421875,
0.0175018310546875,
-0.033721923828125,
0.036834716796875,
0.035797119140625,
-0.004161834716796875,
-0.02685546875,
-0.027496337890625,
0.033294677734375,
-0.01068115234375,
-0.044677734375,
-0.02923583984375,
0.034912109375,
0.0321044921875,
0.0218048095703125,
0.0673828125,
-0.010406494140625,
0.0311431884765625,
0.03277587890625,
0.0216064453125,
-0.01580810546875,
-0.0239105224609375,
-0.03399658203125,
0.0084991455078125,
0.00804901123046875,
-0.00997161865234375
]
] |
badokorach/flan-t5-small-qa-10 | 2023-09-28T21:01:39.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | badokorach | null | null | badokorach/flan-t5-small-qa-10 | 0 | 2 | transformers | 2023-09-28T18:42:47 | ---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small-qa-10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-small-qa-10
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0680
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 37.0091 | 0.01 | 10 | 39.2389 |
| 34.7317 | 0.02 | 20 | 36.6257 |
| 32.6533 | 0.03 | 30 | 34.1553 |
| 29.7792 | 0.04 | 40 | 31.6802 |
| 27.9268 | 0.05 | 50 | 29.1925 |
| 25.8475 | 0.06 | 60 | 26.7287 |
| 23.1826 | 0.07 | 70 | 24.1478 |
| 20.9714 | 0.08 | 80 | 21.3731 |
| 18.5839 | 0.09 | 90 | 18.4583 |
| 16.4034 | 0.1 | 100 | 15.4845 |
| 13.2378 | 0.11 | 110 | 12.3754 |
| 11.1189 | 0.12 | 120 | 9.2924 |
| 8.8691 | 0.13 | 130 | 6.9111 |
| 7.3894 | 0.14 | 140 | 5.8619 |
| 6.5278 | 0.15 | 150 | 5.3589 |
| 5.8773 | 0.16 | 160 | 5.0272 |
| 5.6232 | 0.17 | 170 | 4.7799 |
| 5.1812 | 0.18 | 180 | 4.5834 |
| 4.8379 | 0.19 | 190 | 4.4145 |
| 4.6718 | 0.2 | 200 | 4.2705 |
| 4.5679 | 0.21 | 210 | 4.1402 |
| 4.3725 | 0.22 | 220 | 4.0193 |
| 4.2319 | 0.23 | 230 | 3.8986 |
| 4.0162 | 0.24 | 240 | 3.7799 |
| 3.9175 | 0.25 | 250 | 3.6602 |
| 3.8803 | 0.26 | 260 | 3.5376 |
| 3.7403 | 0.27 | 270 | 3.4149 |
| 3.575 | 0.28 | 280 | 3.2841 |
| 3.5047 | 0.29 | 290 | 3.1522 |
| 3.3545 | 0.3 | 300 | 3.0169 |
| 3.2233 | 0.31 | 310 | 2.8774 |
| 3.1314 | 0.32 | 320 | 2.7361 |
| 2.9994 | 0.33 | 330 | 2.5934 |
| 2.901 | 0.34 | 340 | 2.4511 |
| 2.6969 | 0.35 | 350 | 2.3144 |
| 2.643 | 0.36 | 360 | 2.1838 |
| 2.5416 | 0.37 | 370 | 2.0683 |
| 2.3707 | 0.38 | 380 | 1.9536 |
| 2.3231 | 0.39 | 390 | 1.8523 |
| 2.2729 | 0.4 | 400 | 1.7420 |
| 2.0765 | 0.41 | 410 | 1.6323 |
| 2.0129 | 0.42 | 420 | 1.5289 |
| 1.8826 | 0.43 | 430 | 1.4344 |
| 1.878 | 0.44 | 440 | 1.3528 |
| 1.7105 | 0.45 | 450 | 1.2652 |
| 1.6877 | 0.46 | 460 | 1.1842 |
| 1.5966 | 0.47 | 470 | 1.1044 |
| 1.509 | 0.48 | 480 | 1.0282 |
| 1.4869 | 0.49 | 490 | 0.9637 |
| 1.3615 | 0.5 | 500 | 0.9079 |
| 1.3525 | 0.51 | 510 | 0.8398 |
| 1.2226 | 0.52 | 520 | 0.7795 |
| 1.1191 | 0.53 | 530 | 0.7361 |
| 1.0896 | 0.54 | 540 | 0.6988 |
| 1.0617 | 0.55 | 550 | 0.6521 |
| 0.9407 | 0.56 | 560 | 0.6081 |
| 0.9509 | 0.57 | 570 | 0.5644 |
| 0.941 | 0.58 | 580 | 0.5292 |
| 0.8058 | 0.59 | 590 | 0.4883 |
| 0.856 | 0.6 | 600 | 0.4508 |
| 0.7525 | 0.61 | 610 | 0.4194 |
| 0.684 | 0.62 | 620 | 0.3900 |
| 0.644 | 0.63 | 630 | 0.3664 |
| 0.6718 | 0.64 | 640 | 0.3421 |
| 0.6279 | 0.65 | 650 | 0.3193 |
| 0.561 | 0.66 | 660 | 0.2956 |
| 0.577 | 0.67 | 670 | 0.2754 |
| 0.5564 | 0.68 | 680 | 0.2587 |
| 0.5221 | 0.69 | 690 | 0.2438 |
| 0.4814 | 0.7 | 700 | 0.2297 |
| 0.4113 | 0.71 | 710 | 0.2191 |
| 0.4718 | 0.72 | 720 | 0.2070 |
| 0.3819 | 0.73 | 730 | 0.1986 |
| 0.3924 | 0.74 | 740 | 0.1891 |
| 0.4157 | 0.75 | 750 | 0.1777 |
| 0.3915 | 0.76 | 760 | 0.1678 |
| 0.3523 | 0.77 | 770 | 0.1598 |
| 0.4251 | 0.78 | 780 | 0.1532 |
| 0.2944 | 0.79 | 790 | 0.1472 |
| 0.3066 | 0.8 | 800 | 0.1396 |
| 0.3363 | 0.81 | 810 | 0.1340 |
| 0.2954 | 0.82 | 820 | 0.1283 |
| 0.2756 | 0.83 | 830 | 0.1220 |
| 0.2898 | 0.84 | 840 | 0.1164 |
| 0.2862 | 0.85 | 850 | 0.1103 |
| 0.264 | 0.86 | 860 | 0.1056 |
| 0.3028 | 0.87 | 870 | 0.1004 |
| 0.3009 | 0.88 | 880 | 0.0937 |
| 0.2909 | 0.89 | 890 | 0.0881 |
| 0.2922 | 0.9 | 900 | 0.0826 |
| 0.2493 | 0.91 | 910 | 0.0773 |
| 0.2524 | 0.92 | 920 | 0.0749 |
| 0.1929 | 0.93 | 930 | 0.0727 |
| 0.2461 | 0.94 | 940 | 0.0679 |
| 0.2471 | 0.95 | 950 | 0.0642 |
| 0.1956 | 0.96 | 960 | 0.0628 |
| 0.1839 | 0.97 | 970 | 0.0617 |
| 0.2151 | 0.98 | 980 | 0.0599 |
| 0.2182 | 0.99 | 990 | 0.0580 |
| 0.2473 | 1.0 | 1000 | 0.0567 |
| 0.2249 | 1.01 | 1010 | 0.0562 |
| 0.2807 | 1.02 | 1020 | 0.0550 |
| 0.2066 | 1.03 | 1030 | 0.0543 |
| 0.168 | 1.04 | 1040 | 0.0550 |
| 0.2199 | 1.05 | 1050 | 0.0550 |
| 0.2135 | 1.06 | 1060 | 0.0543 |
| 0.2316 | 1.07 | 1070 | 0.0535 |
| 0.196 | 1.08 | 1080 | 0.0535 |
| 0.163 | 1.09 | 1090 | 0.0532 |
| 0.115 | 1.1 | 1100 | 0.0533 |
| 0.1758 | 1.11 | 1110 | 0.0532 |
| 0.1862 | 1.12 | 1120 | 0.0537 |
| 0.2976 | 1.13 | 1130 | 0.0535 |
| 0.1683 | 1.14 | 1140 | 0.0531 |
| 0.1836 | 1.15 | 1150 | 0.0533 |
| 0.1932 | 1.16 | 1160 | 0.0536 |
| 0.2083 | 1.17 | 1170 | 0.0524 |
| 0.1482 | 1.18 | 1180 | 0.0524 |
| 0.1869 | 1.19 | 1190 | 0.0523 |
| 0.2302 | 1.2 | 1200 | 0.0522 |
| 0.1334 | 1.21 | 1210 | 0.0522 |
| 0.172 | 1.22 | 1220 | 0.0519 |
| 0.1492 | 1.23 | 1230 | 0.0515 |
| 0.18 | 1.24 | 1240 | 0.0513 |
| 0.2685 | 1.25 | 1250 | 0.0517 |
| 0.1621 | 1.26 | 1260 | 0.0523 |
| 0.172 | 1.27 | 1270 | 0.0519 |
| 0.2655 | 1.28 | 1280 | 0.0516 |
| 0.1625 | 1.29 | 1290 | 0.0519 |
| 0.251 | 1.3 | 1300 | 0.0525 |
| 0.1506 | 1.31 | 1310 | 0.0528 |
| 0.206 | 1.32 | 1320 | 0.0530 |
| 0.186 | 1.33 | 1330 | 0.0526 |
| 0.1778 | 1.34 | 1340 | 0.0528 |
| 0.167 | 1.35 | 1350 | 0.0528 |
| 0.1602 | 1.36 | 1360 | 0.0528 |
| 0.2509 | 1.37 | 1370 | 0.0523 |
| 0.1615 | 1.38 | 1380 | 0.0522 |
| 0.1988 | 1.39 | 1390 | 0.0523 |
| 0.1602 | 1.4 | 1400 | 0.0525 |
| 0.1637 | 1.41 | 1410 | 0.0524 |
| 0.1848 | 1.42 | 1420 | 0.0523 |
| 0.1662 | 1.43 | 1430 | 0.0525 |
| 0.1603 | 1.44 | 1440 | 0.0525 |
| 0.1723 | 1.45 | 1450 | 0.0524 |
| 0.15 | 1.46 | 1460 | 0.0522 |
| 0.1855 | 1.47 | 1470 | 0.0519 |
| 0.1828 | 1.48 | 1480 | 0.0523 |
| 0.1975 | 1.49 | 1490 | 0.0523 |
| 0.2105 | 1.5 | 1500 | 0.0525 |
| 0.1808 | 1.51 | 1510 | 0.0530 |
| 0.1714 | 1.52 | 1520 | 0.0529 |
| 0.1481 | 1.53 | 1530 | 0.0533 |
| 0.1579 | 1.54 | 1540 | 0.0539 |
| 0.194 | 1.55 | 1550 | 0.0541 |
| 0.1521 | 1.56 | 1560 | 0.0540 |
| 0.2194 | 1.57 | 1570 | 0.0538 |
| 0.1487 | 1.58 | 1580 | 0.0536 |
| 0.1511 | 1.59 | 1590 | 0.0536 |
| 0.1958 | 1.6 | 1600 | 0.0537 |
| 0.179 | 1.61 | 1610 | 0.0536 |
| 0.2006 | 1.62 | 1620 | 0.0535 |
| 0.1483 | 1.63 | 1630 | 0.0537 |
| 0.1321 | 1.64 | 1640 | 0.0536 |
| 0.1875 | 1.65 | 1650 | 0.0534 |
| 0.1777 | 1.66 | 1660 | 0.0535 |
| 0.1289 | 1.67 | 1670 | 0.0534 |
| 0.1534 | 1.68 | 1680 | 0.0536 |
| 0.1942 | 1.69 | 1690 | 0.0535 |
| 0.1434 | 1.7 | 1700 | 0.0539 |
| 0.1316 | 1.71 | 1710 | 0.0543 |
| 0.1205 | 1.72 | 1720 | 0.0542 |
| 0.1746 | 1.73 | 1730 | 0.0538 |
| 0.1505 | 1.74 | 1740 | 0.0537 |
| 0.1811 | 1.75 | 1750 | 0.0541 |
| 0.1292 | 1.76 | 1760 | 0.0542 |
| 0.1545 | 1.77 | 1770 | 0.0541 |
| 0.192 | 1.78 | 1780 | 0.0540 |
| 0.1223 | 1.79 | 1790 | 0.0543 |
| 0.2161 | 1.8 | 1800 | 0.0546 |
| 0.1408 | 1.81 | 1810 | 0.0550 |
| 0.1408 | 1.82 | 1820 | 0.0554 |
| 0.1239 | 1.83 | 1830 | 0.0555 |
| 0.2161 | 1.84 | 1840 | 0.0555 |
| 0.1122 | 1.85 | 1850 | 0.0554 |
| 0.1465 | 1.86 | 1860 | 0.0549 |
| 0.1385 | 1.87 | 1870 | 0.0548 |
| 0.1651 | 1.88 | 1880 | 0.0550 |
| 0.1716 | 1.89 | 1890 | 0.0552 |
| 0.1317 | 1.9 | 1900 | 0.0550 |
| 0.1228 | 1.91 | 1910 | 0.0548 |
| 0.1764 | 1.92 | 1920 | 0.0553 |
| 0.1694 | 1.93 | 1930 | 0.0555 |
| 0.1607 | 1.94 | 1940 | 0.0555 |
| 0.1989 | 1.95 | 1950 | 0.0547 |
| 0.1866 | 1.96 | 1960 | 0.0545 |
| 0.1006 | 1.97 | 1970 | 0.0545 |
| 0.1769 | 1.98 | 1980 | 0.0547 |
| 0.1266 | 1.99 | 1990 | 0.0550 |
| 0.1972 | 2.0 | 2000 | 0.0547 |
| 0.1404 | 2.01 | 2010 | 0.0542 |
| 0.2077 | 2.02 | 2020 | 0.0543 |
| 0.1607 | 2.03 | 2030 | 0.0545 |
| 0.157 | 2.04 | 2040 | 0.0546 |
| 0.1171 | 2.05 | 2050 | 0.0549 |
| 0.1419 | 2.06 | 2060 | 0.0554 |
| 0.2234 | 2.07 | 2070 | 0.0554 |
| 0.2123 | 2.08 | 2080 | 0.0548 |
| 0.1856 | 2.09 | 2090 | 0.0544 |
| 0.1061 | 2.1 | 2100 | 0.0537 |
| 0.2295 | 2.11 | 2110 | 0.0537 |
| 0.203 | 2.12 | 2120 | 0.0543 |
| 0.1858 | 2.13 | 2130 | 0.0543 |
| 0.1617 | 2.14 | 2140 | 0.0546 |
| 0.161 | 2.15 | 2150 | 0.0550 |
| 0.1707 | 2.16 | 2160 | 0.0553 |
| 0.2021 | 2.17 | 2170 | 0.0556 |
| 0.1121 | 2.18 | 2180 | 0.0555 |
| 0.1608 | 2.19 | 2190 | 0.0557 |
| 0.1782 | 2.2 | 2200 | 0.0561 |
| 0.1261 | 2.21 | 2210 | 0.0563 |
| 0.1748 | 2.22 | 2220 | 0.0563 |
| 0.254 | 2.23 | 2230 | 0.0560 |
| 0.1894 | 2.24 | 2240 | 0.0560 |
| 0.1825 | 2.25 | 2250 | 0.0559 |
| 0.1078 | 2.26 | 2260 | 0.0555 |
| 0.1718 | 2.27 | 2270 | 0.0556 |
| 0.1274 | 2.28 | 2280 | 0.0556 |
| 0.097 | 2.29 | 2290 | 0.0557 |
| 0.1887 | 2.3 | 2300 | 0.0557 |
| 0.1246 | 2.31 | 2310 | 0.0552 |
| 0.2024 | 2.32 | 2320 | 0.0547 |
| 0.1878 | 2.33 | 2330 | 0.0542 |
| 0.1661 | 2.34 | 2340 | 0.0546 |
| 0.142 | 2.35 | 2350 | 0.0546 |
| 0.1046 | 2.36 | 2360 | 0.0546 |
| 0.239 | 2.37 | 2370 | 0.0546 |
| 0.1454 | 2.38 | 2380 | 0.0547 |
| 0.144 | 2.39 | 2390 | 0.0549 |
| 0.1983 | 2.4 | 2400 | 0.0548 |
| 0.1583 | 2.41 | 2410 | 0.0549 |
| 0.1345 | 2.42 | 2420 | 0.0547 |
| 0.1838 | 2.43 | 2430 | 0.0553 |
| 0.1441 | 2.44 | 2440 | 0.0557 |
| 0.142 | 2.45 | 2450 | 0.0556 |
| 0.1743 | 2.46 | 2460 | 0.0556 |
| 0.152 | 2.47 | 2470 | 0.0557 |
| 0.1221 | 2.48 | 2480 | 0.0556 |
| 0.1611 | 2.49 | 2490 | 0.0555 |
| 0.128 | 2.5 | 2500 | 0.0554 |
| 0.1872 | 2.51 | 2510 | 0.0554 |
| 0.1425 | 2.52 | 2520 | 0.0557 |
| 0.1585 | 2.53 | 2530 | 0.0561 |
| 0.1257 | 2.54 | 2540 | 0.0563 |
| 0.1805 | 2.55 | 2550 | 0.0560 |
| 0.1431 | 2.56 | 2560 | 0.0557 |
| 0.1569 | 2.57 | 2570 | 0.0558 |
| 0.1703 | 2.58 | 2580 | 0.0558 |
| 0.1319 | 2.59 | 2590 | 0.0555 |
| 0.1608 | 2.6 | 2600 | 0.0559 |
| 0.1553 | 2.61 | 2610 | 0.0560 |
| 0.1855 | 2.62 | 2620 | 0.0562 |
| 0.1856 | 2.63 | 2630 | 0.0562 |
| 0.1715 | 2.64 | 2640 | 0.0561 |
| 0.1122 | 2.65 | 2650 | 0.0562 |
| 0.1671 | 2.66 | 2660 | 0.0564 |
| 0.1613 | 2.67 | 2670 | 0.0567 |
| 0.1648 | 2.68 | 2680 | 0.0570 |
| 0.15 | 2.69 | 2690 | 0.0572 |
| 0.1499 | 2.7 | 2700 | 0.0571 |
| 0.1598 | 2.71 | 2710 | 0.0572 |
| 0.1804 | 2.72 | 2720 | 0.0572 |
| 0.1721 | 2.73 | 2730 | 0.0570 |
| 0.131 | 2.74 | 2740 | 0.0571 |
| 0.2229 | 2.75 | 2750 | 0.0570 |
| 0.1337 | 2.76 | 2760 | 0.0573 |
| 0.1472 | 2.77 | 2770 | 0.0575 |
| 0.1202 | 2.78 | 2780 | 0.0578 |
| 0.1417 | 2.79 | 2790 | 0.0582 |
| 0.123 | 2.8 | 2800 | 0.0584 |
| 0.2054 | 2.81 | 2810 | 0.0581 |
| 0.1761 | 2.82 | 2820 | 0.0573 |
| 0.1034 | 2.83 | 2830 | 0.0567 |
| 0.1416 | 2.84 | 2840 | 0.0564 |
| 0.143 | 2.85 | 2850 | 0.0565 |
| 0.1295 | 2.86 | 2860 | 0.0567 |
| 0.1201 | 2.87 | 2870 | 0.0565 |
| 0.1168 | 2.88 | 2880 | 0.0563 |
| 0.1236 | 2.89 | 2890 | 0.0559 |
| 0.1664 | 2.9 | 2900 | 0.0559 |
| 0.1555 | 2.91 | 2910 | 0.0562 |
| 0.1657 | 2.92 | 2920 | 0.0565 |
| 0.1213 | 2.93 | 2930 | 0.0568 |
| 0.1557 | 2.94 | 2940 | 0.0569 |
| 0.1795 | 2.95 | 2950 | 0.0570 |
| 0.1655 | 2.96 | 2960 | 0.0571 |
| 0.2015 | 2.97 | 2970 | 0.0571 |
| 0.1956 | 2.98 | 2980 | 0.0572 |
| 0.1456 | 2.99 | 2990 | 0.0575 |
| 0.1298 | 3.0 | 3000 | 0.0574 |
| 0.1589 | 3.01 | 3010 | 0.0574 |
| 0.1367 | 3.02 | 3020 | 0.0573 |
| 0.1321 | 3.03 | 3030 | 0.0573 |
| 0.1451 | 3.04 | 3040 | 0.0572 |
| 0.174 | 3.05 | 3050 | 0.0574 |
| 0.1547 | 3.06 | 3060 | 0.0577 |
| 0.1229 | 3.07 | 3070 | 0.0578 |
| 0.1207 | 3.08 | 3080 | 0.0584 |
| 0.1308 | 3.09 | 3090 | 0.0588 |
| 0.1882 | 3.1 | 3100 | 0.0588 |
| 0.1647 | 3.11 | 3110 | 0.0586 |
| 0.1121 | 3.12 | 3120 | 0.0587 |
| 0.1656 | 3.13 | 3130 | 0.0586 |
| 0.1671 | 3.14 | 3140 | 0.0588 |
| 0.1399 | 3.15 | 3150 | 0.0591 |
| 0.1504 | 3.16 | 3160 | 0.0594 |
| 0.2393 | 3.17 | 3170 | 0.0587 |
| 0.1273 | 3.18 | 3180 | 0.0583 |
| 0.1365 | 3.19 | 3190 | 0.0579 |
| 0.1752 | 3.2 | 3200 | 0.0582 |
| 0.1526 | 3.21 | 3210 | 0.0585 |
| 0.1219 | 3.22 | 3220 | 0.0582 |
| 0.1416 | 3.23 | 3230 | 0.0581 |
| 0.1172 | 3.24 | 3240 | 0.0577 |
| 0.1205 | 3.25 | 3250 | 0.0579 |
| 0.1554 | 3.26 | 3260 | 0.0582 |
| 0.1442 | 3.27 | 3270 | 0.0583 |
| 0.195 | 3.28 | 3280 | 0.0581 |
| 0.1981 | 3.29 | 3290 | 0.0577 |
| 0.2147 | 3.3 | 3300 | 0.0576 |
| 0.1204 | 3.31 | 3310 | 0.0578 |
| 0.1628 | 3.32 | 3320 | 0.0581 |
| 0.3038 | 3.33 | 3330 | 0.0583 |
| 0.1759 | 3.34 | 3340 | 0.0584 |
| 0.1454 | 3.35 | 3350 | 0.0585 |
| 0.1269 | 3.36 | 3360 | 0.0587 |
| 0.1485 | 3.37 | 3370 | 0.0591 |
| 0.1197 | 3.38 | 3380 | 0.0594 |
| 0.1352 | 3.39 | 3390 | 0.0597 |
| 0.1679 | 3.4 | 3400 | 0.0599 |
| 0.1607 | 3.41 | 3410 | 0.0601 |
| 0.1519 | 3.42 | 3420 | 0.0603 |
| 0.1227 | 3.43 | 3430 | 0.0605 |
| 0.2099 | 3.44 | 3440 | 0.0606 |
| 0.1611 | 3.45 | 3450 | 0.0605 |
| 0.2014 | 3.46 | 3460 | 0.0604 |
| 0.1074 | 3.47 | 3470 | 0.0601 |
| 0.195 | 3.48 | 3480 | 0.0600 |
| 0.1559 | 3.49 | 3490 | 0.0593 |
| 0.1636 | 3.5 | 3500 | 0.0588 |
| 0.1503 | 3.51 | 3510 | 0.0588 |
| 0.1486 | 3.52 | 3520 | 0.0585 |
| 0.1763 | 3.53 | 3530 | 0.0582 |
| 0.1855 | 3.54 | 3540 | 0.0582 |
| 0.1641 | 3.55 | 3550 | 0.0585 |
| 0.1398 | 3.56 | 3560 | 0.0586 |
| 0.1719 | 3.57 | 3570 | 0.0588 |
| 0.109 | 3.58 | 3580 | 0.0589 |
| 0.1498 | 3.59 | 3590 | 0.0589 |
| 0.1012 | 3.6 | 3600 | 0.0589 |
| 0.1175 | 3.61 | 3610 | 0.0591 |
| 0.1434 | 3.62 | 3620 | 0.0594 |
| 0.1609 | 3.63 | 3630 | 0.0596 |
| 0.1448 | 3.64 | 3640 | 0.0599 |
| 0.2215 | 3.65 | 3650 | 0.0599 |
| 0.1529 | 3.66 | 3660 | 0.0601 |
| 0.1343 | 3.67 | 3670 | 0.0603 |
| 0.1914 | 3.68 | 3680 | 0.0603 |
| 0.1089 | 3.69 | 3690 | 0.0602 |
| 0.156 | 3.7 | 3700 | 0.0603 |
| 0.1274 | 3.71 | 3710 | 0.0606 |
| 0.1146 | 3.72 | 3720 | 0.0609 |
| 0.1378 | 3.73 | 3730 | 0.0610 |
| 0.101 | 3.74 | 3740 | 0.0610 |
| 0.1502 | 3.75 | 3750 | 0.0610 |
| 0.1323 | 3.76 | 3760 | 0.0610 |
| 0.2017 | 3.77 | 3770 | 0.0611 |
| 0.1167 | 3.78 | 3780 | 0.0610 |
| 0.2027 | 3.79 | 3790 | 0.0611 |
| 0.1739 | 3.8 | 3800 | 0.0612 |
| 0.1269 | 3.81 | 3810 | 0.0610 |
| 0.1642 | 3.82 | 3820 | 0.0606 |
| 0.141 | 3.83 | 3830 | 0.0602 |
| 0.1567 | 3.84 | 3840 | 0.0598 |
| 0.0849 | 3.85 | 3850 | 0.0598 |
| 0.1388 | 3.86 | 3860 | 0.0601 |
| 0.2029 | 3.87 | 3870 | 0.0602 |
| 0.1471 | 3.88 | 3880 | 0.0600 |
| 0.1307 | 3.89 | 3890 | 0.0597 |
| 0.1363 | 3.9 | 3900 | 0.0596 |
| 0.1566 | 3.91 | 3910 | 0.0596 |
| 0.1936 | 3.92 | 3920 | 0.0594 |
| 0.1063 | 3.93 | 3930 | 0.0592 |
| 0.1351 | 3.94 | 3940 | 0.0592 |
| 0.1886 | 3.95 | 3950 | 0.0593 |
| 0.1387 | 3.96 | 3960 | 0.0597 |
| 0.1532 | 3.97 | 3970 | 0.0599 |
| 0.0992 | 3.98 | 3980 | 0.0599 |
| 0.1444 | 3.99 | 3990 | 0.0598 |
| 0.1382 | 4.0 | 4000 | 0.0599 |
| 0.1647 | 4.01 | 4010 | 0.0600 |
| 0.1551 | 4.02 | 4020 | 0.0604 |
| 0.1777 | 4.03 | 4030 | 0.0606 |
| 0.1395 | 4.04 | 4040 | 0.0608 |
| 0.1312 | 4.05 | 4050 | 0.0609 |
| 0.143 | 4.06 | 4060 | 0.0610 |
| 0.106 | 4.07 | 4070 | 0.0608 |
| 0.168 | 4.08 | 4080 | 0.0607 |
| 0.0988 | 4.09 | 4090 | 0.0604 |
| 0.1718 | 4.1 | 4100 | 0.0602 |
| 0.1607 | 4.11 | 4110 | 0.0602 |
| 0.1428 | 4.12 | 4120 | 0.0601 |
| 0.1518 | 4.13 | 4130 | 0.0599 |
| 0.1941 | 4.14 | 4140 | 0.0600 |
| 0.1339 | 4.15 | 4150 | 0.0599 |
| 0.1379 | 4.16 | 4160 | 0.0599 |
| 0.218 | 4.17 | 4170 | 0.0600 |
| 0.1359 | 4.18 | 4180 | 0.0602 |
| 0.1941 | 4.19 | 4190 | 0.0602 |
| 0.1182 | 4.2 | 4200 | 0.0602 |
| 0.1398 | 4.21 | 4210 | 0.0602 |
| 0.1385 | 4.22 | 4220 | 0.0601 |
| 0.1652 | 4.23 | 4230 | 0.0599 |
| 0.0985 | 4.24 | 4240 | 0.0599 |
| 0.1342 | 4.25 | 4250 | 0.0602 |
| 0.1767 | 4.26 | 4260 | 0.0606 |
| 0.1621 | 4.27 | 4270 | 0.0609 |
| 0.1813 | 4.28 | 4280 | 0.0612 |
| 0.14 | 4.29 | 4290 | 0.0613 |
| 0.1726 | 4.3 | 4300 | 0.0615 |
| 0.1031 | 4.31 | 4310 | 0.0617 |
| 0.1429 | 4.32 | 4320 | 0.0617 |
| 0.1956 | 4.33 | 4330 | 0.0615 |
| 0.1515 | 4.34 | 4340 | 0.0613 |
| 0.1109 | 4.35 | 4350 | 0.0614 |
| 0.1102 | 4.36 | 4360 | 0.0617 |
| 0.2273 | 4.37 | 4370 | 0.0617 |
| 0.1179 | 4.38 | 4380 | 0.0617 |
| 0.1186 | 4.39 | 4390 | 0.0617 |
| 0.1259 | 4.4 | 4400 | 0.0611 |
| 0.1914 | 4.41 | 4410 | 0.0610 |
| 0.1552 | 4.42 | 4420 | 0.0612 |
| 0.1703 | 4.43 | 4430 | 0.0614 |
| 0.1549 | 4.44 | 4440 | 0.0612 |
| 0.1307 | 4.45 | 4450 | 0.0611 |
| 0.1853 | 4.46 | 4460 | 0.0609 |
| 0.1055 | 4.47 | 4470 | 0.0606 |
| 0.1342 | 4.48 | 4480 | 0.0606 |
| 0.0804 | 4.49 | 4490 | 0.0609 |
| 0.1566 | 4.5 | 4500 | 0.0610 |
| 0.1472 | 4.51 | 4510 | 0.0613 |
| 0.2179 | 4.52 | 4520 | 0.0613 |
| 0.1365 | 4.53 | 4530 | 0.0614 |
| 0.157 | 4.54 | 4540 | 0.0610 |
| 0.1515 | 4.55 | 4550 | 0.0609 |
| 0.1678 | 4.56 | 4560 | 0.0611 |
| 0.1569 | 4.57 | 4570 | 0.0613 |
| 0.1257 | 4.58 | 4580 | 0.0614 |
| 0.1452 | 4.59 | 4590 | 0.0612 |
| 0.1275 | 4.6 | 4600 | 0.0612 |
| 0.1446 | 4.61 | 4610 | 0.0613 |
| 0.1571 | 4.62 | 4620 | 0.0613 |
| 0.1371 | 4.63 | 4630 | 0.0612 |
| 0.1152 | 4.64 | 4640 | 0.0612 |
| 0.1797 | 4.65 | 4650 | 0.0613 |
| 0.0911 | 4.66 | 4660 | 0.0613 |
| 0.1463 | 4.67 | 4670 | 0.0612 |
| 0.1428 | 4.68 | 4680 | 0.0610 |
| 0.1489 | 4.69 | 4690 | 0.0612 |
| 0.1344 | 4.7 | 4700 | 0.0615 |
| 0.1493 | 4.71 | 4710 | 0.0615 |
| 0.147 | 4.72 | 4720 | 0.0613 |
| 0.2329 | 4.73 | 4730 | 0.0606 |
| 0.1679 | 4.74 | 4740 | 0.0602 |
| 0.0977 | 4.75 | 4750 | 0.0602 |
| 0.1292 | 4.76 | 4760 | 0.0603 |
| 0.1301 | 4.77 | 4770 | 0.0606 |
| 0.1855 | 4.78 | 4780 | 0.0609 |
| 0.1647 | 4.79 | 4790 | 0.0607 |
| 0.1395 | 4.8 | 4800 | 0.0604 |
| 0.1692 | 4.81 | 4810 | 0.0604 |
| 0.1135 | 4.82 | 4820 | 0.0604 |
| 0.1075 | 4.83 | 4830 | 0.0605 |
| 0.188 | 4.84 | 4840 | 0.0604 |
| 0.168 | 4.85 | 4850 | 0.0605 |
| 0.1356 | 4.86 | 4860 | 0.0603 |
| 0.134 | 4.87 | 4870 | 0.0603 |
| 0.1245 | 4.88 | 4880 | 0.0604 |
| 0.1816 | 4.89 | 4890 | 0.0605 |
| 0.1144 | 4.9 | 4900 | 0.0607 |
| 0.1651 | 4.91 | 4910 | 0.0610 |
| 0.1725 | 4.92 | 4920 | 0.0610 |
| 0.0947 | 4.93 | 4930 | 0.0612 |
| 0.118 | 4.94 | 4940 | 0.0615 |
| 0.1341 | 4.95 | 4950 | 0.0615 |
| 0.1324 | 4.96 | 4960 | 0.0618 |
| 0.1321 | 4.97 | 4970 | 0.0622 |
| 0.1485 | 4.98 | 4980 | 0.0624 |
| 0.1445 | 4.99 | 4990 | 0.0626 |
| 0.1793 | 5.0 | 5000 | 0.0627 |
| 0.1374 | 5.01 | 5010 | 0.0623 |
| 0.1726 | 5.02 | 5020 | 0.0619 |
| 0.178 | 5.03 | 5030 | 0.0618 |
| 0.1814 | 5.04 | 5040 | 0.0623 |
| 0.1533 | 5.05 | 5050 | 0.0625 |
| 0.1618 | 5.06 | 5060 | 0.0627 |
| 0.1502 | 5.07 | 5070 | 0.0625 |
| 0.1228 | 5.08 | 5080 | 0.0622 |
| 0.1544 | 5.09 | 5090 | 0.0621 |
| 0.1253 | 5.1 | 5100 | 0.0620 |
| 0.2073 | 5.11 | 5110 | 0.0619 |
| 0.13 | 5.12 | 5120 | 0.0620 |
| 0.1163 | 5.13 | 5130 | 0.0623 |
| 0.1154 | 5.14 | 5140 | 0.0628 |
| 0.1249 | 5.15 | 5150 | 0.0631 |
| 0.1783 | 5.16 | 5160 | 0.0633 |
| 0.1536 | 5.17 | 5170 | 0.0633 |
| 0.1679 | 5.18 | 5180 | 0.0631 |
| 0.1164 | 5.19 | 5190 | 0.0629 |
| 0.1213 | 5.2 | 5200 | 0.0628 |
| 0.1076 | 5.21 | 5210 | 0.0626 |
| 0.1332 | 5.22 | 5220 | 0.0625 |
| 0.1406 | 5.23 | 5230 | 0.0626 |
| 0.096 | 5.24 | 5240 | 0.0628 |
| 0.1556 | 5.25 | 5250 | 0.0631 |
| 0.1363 | 5.26 | 5260 | 0.0629 |
| 0.1223 | 5.27 | 5270 | 0.0628 |
| 0.226 | 5.28 | 5280 | 0.0630 |
| 0.1957 | 5.29 | 5290 | 0.0634 |
| 0.1303 | 5.3 | 5300 | 0.0634 |
| 0.1123 | 5.31 | 5310 | 0.0633 |
| 0.1753 | 5.32 | 5320 | 0.0634 |
| 0.1642 | 5.33 | 5330 | 0.0634 |
| 0.1412 | 5.34 | 5340 | 0.0633 |
| 0.1732 | 5.35 | 5350 | 0.0631 |
| 0.134 | 5.36 | 5360 | 0.0629 |
| 0.1596 | 5.37 | 5370 | 0.0627 |
| 0.1049 | 5.38 | 5380 | 0.0622 |
| 0.1108 | 5.39 | 5390 | 0.0620 |
| 0.1326 | 5.4 | 5400 | 0.0622 |
| 0.1676 | 5.41 | 5410 | 0.0622 |
| 0.1327 | 5.42 | 5420 | 0.0621 |
| 0.0943 | 5.43 | 5430 | 0.0620 |
| 0.0914 | 5.44 | 5440 | 0.0620 |
| 0.1201 | 5.45 | 5450 | 0.0620 |
| 0.1441 | 5.46 | 5460 | 0.0619 |
| 0.149 | 5.47 | 5470 | 0.0621 |
| 0.0949 | 5.48 | 5480 | 0.0622 |
| 0.1606 | 5.49 | 5490 | 0.0623 |
| 0.1151 | 5.5 | 5500 | 0.0626 |
| 0.1613 | 5.51 | 5510 | 0.0627 |
| 0.189 | 5.52 | 5520 | 0.0629 |
| 0.1084 | 5.53 | 5530 | 0.0631 |
| 0.1285 | 5.54 | 5540 | 0.0632 |
| 0.1509 | 5.55 | 5550 | 0.0633 |
| 0.1201 | 5.56 | 5560 | 0.0637 |
| 0.148 | 5.57 | 5570 | 0.0636 |
| 0.148 | 5.58 | 5580 | 0.0634 |
| 0.1019 | 5.59 | 5590 | 0.0634 |
| 0.1447 | 5.6 | 5600 | 0.0634 |
| 0.1521 | 5.61 | 5610 | 0.0636 |
| 0.19 | 5.62 | 5620 | 0.0635 |
| 0.1164 | 5.63 | 5630 | 0.0633 |
| 0.1488 | 5.64 | 5640 | 0.0633 |
| 0.1114 | 5.65 | 5650 | 0.0631 |
| 0.1373 | 5.66 | 5660 | 0.0626 |
| 0.0925 | 5.67 | 5670 | 0.0624 |
| 0.1138 | 5.68 | 5680 | 0.0621 |
| 0.1219 | 5.69 | 5690 | 0.0620 |
| 0.1692 | 5.7 | 5700 | 0.0622 |
| 0.1941 | 5.71 | 5710 | 0.0626 |
| 0.1725 | 5.72 | 5720 | 0.0626 |
| 0.1028 | 5.73 | 5730 | 0.0627 |
| 0.1359 | 5.74 | 5740 | 0.0627 |
| 0.1321 | 5.75 | 5750 | 0.0629 |
| 0.1093 | 5.76 | 5760 | 0.0630 |
| 0.1399 | 5.77 | 5770 | 0.0631 |
| 0.1117 | 5.78 | 5780 | 0.0632 |
| 0.154 | 5.79 | 5790 | 0.0634 |
| 0.1628 | 5.8 | 5800 | 0.0637 |
| 0.2267 | 5.81 | 5810 | 0.0639 |
| 0.1716 | 5.82 | 5820 | 0.0639 |
| 0.165 | 5.83 | 5830 | 0.0640 |
| 0.1013 | 5.84 | 5840 | 0.0641 |
| 0.1417 | 5.85 | 5850 | 0.0641 |
| 0.1607 | 5.86 | 5860 | 0.0639 |
| 0.1191 | 5.87 | 5870 | 0.0638 |
| 0.1549 | 5.88 | 5880 | 0.0635 |
| 0.1906 | 5.89 | 5890 | 0.0635 |
| 0.1307 | 5.9 | 5900 | 0.0636 |
| 0.123 | 5.91 | 5910 | 0.0636 |
| 0.1389 | 5.92 | 5920 | 0.0636 |
| 0.1152 | 5.93 | 5930 | 0.0637 |
| 0.1267 | 5.94 | 5940 | 0.0638 |
| 0.1301 | 5.95 | 5950 | 0.0640 |
| 0.1583 | 5.96 | 5960 | 0.0642 |
| 0.1958 | 5.97 | 5970 | 0.0644 |
| 0.1591 | 5.98 | 5980 | 0.0644 |
| 0.2638 | 5.99 | 5990 | 0.0643 |
| 0.1605 | 6.0 | 6000 | 0.0644 |
| 0.1227 | 6.01 | 6010 | 0.0643 |
| 0.1721 | 6.02 | 6020 | 0.0642 |
| 0.1828 | 6.03 | 6030 | 0.0643 |
| 0.0953 | 6.04 | 6040 | 0.0643 |
| 0.1538 | 6.05 | 6050 | 0.0643 |
| 0.1403 | 6.06 | 6060 | 0.0643 |
| 0.1094 | 6.07 | 6070 | 0.0641 |
| 0.1493 | 6.08 | 6080 | 0.0645 |
| 0.1313 | 6.09 | 6090 | 0.0647 |
| 0.158 | 6.1 | 6100 | 0.0650 |
| 0.1184 | 6.11 | 6110 | 0.0650 |
| 0.0781 | 6.12 | 6120 | 0.0648 |
| 0.121 | 6.13 | 6130 | 0.0649 |
| 0.1694 | 6.14 | 6140 | 0.0649 |
| 0.1687 | 6.15 | 6150 | 0.0646 |
| 0.1408 | 6.16 | 6160 | 0.0645 |
| 0.1807 | 6.17 | 6170 | 0.0645 |
| 0.109 | 6.18 | 6180 | 0.0644 |
| 0.1266 | 6.19 | 6190 | 0.0644 |
| 0.0925 | 6.2 | 6200 | 0.0649 |
| 0.1768 | 6.21 | 6210 | 0.0649 |
| 0.1434 | 6.22 | 6220 | 0.0650 |
| 0.1449 | 6.23 | 6230 | 0.0645 |
| 0.0938 | 6.24 | 6240 | 0.0644 |
| 0.1336 | 6.25 | 6250 | 0.0641 |
| 0.1798 | 6.26 | 6260 | 0.0641 |
| 0.1549 | 6.27 | 6270 | 0.0643 |
| 0.1151 | 6.28 | 6280 | 0.0644 |
| 0.1468 | 6.29 | 6290 | 0.0645 |
| 0.1169 | 6.3 | 6300 | 0.0644 |
| 0.197 | 6.31 | 6310 | 0.0645 |
| 0.1409 | 6.32 | 6320 | 0.0646 |
| 0.1861 | 6.33 | 6330 | 0.0645 |
| 0.1417 | 6.34 | 6340 | 0.0645 |
| 0.1526 | 6.35 | 6350 | 0.0645 |
| 0.1577 | 6.36 | 6360 | 0.0646 |
| 0.104 | 6.37 | 6370 | 0.0645 |
| 0.1371 | 6.38 | 6380 | 0.0645 |
| 0.1126 | 6.39 | 6390 | 0.0646 |
| 0.2212 | 6.4 | 6400 | 0.0647 |
| 0.1324 | 6.41 | 6410 | 0.0648 |
| 0.1478 | 6.42 | 6420 | 0.0650 |
| 0.1995 | 6.43 | 6430 | 0.0647 |
| 0.1495 | 6.44 | 6440 | 0.0646 |
| 0.108 | 6.45 | 6450 | 0.0645 |
| 0.1268 | 6.46 | 6460 | 0.0641 |
| 0.1233 | 6.47 | 6470 | 0.0639 |
| 0.1222 | 6.48 | 6480 | 0.0634 |
| 0.1324 | 6.49 | 6490 | 0.0630 |
| 0.1461 | 6.5 | 6500 | 0.0627 |
| 0.1541 | 6.51 | 6510 | 0.0625 |
| 0.1797 | 6.52 | 6520 | 0.0623 |
| 0.1712 | 6.53 | 6530 | 0.0623 |
| 0.2081 | 6.54 | 6540 | 0.0627 |
| 0.166 | 6.55 | 6550 | 0.0628 |
| 0.1498 | 6.56 | 6560 | 0.0629 |
| 0.1427 | 6.57 | 6570 | 0.0628 |
| 0.1548 | 6.58 | 6580 | 0.0629 |
| 0.13 | 6.59 | 6590 | 0.0629 |
| 0.1655 | 6.6 | 6600 | 0.0628 |
| 0.1734 | 6.61 | 6610 | 0.0630 |
| 0.1182 | 6.62 | 6620 | 0.0631 |
| 0.1494 | 6.63 | 6630 | 0.0631 |
| 0.1392 | 6.64 | 6640 | 0.0630 |
| 0.1464 | 6.65 | 6650 | 0.0633 |
| 0.1374 | 6.66 | 6660 | 0.0634 |
| 0.1406 | 6.67 | 6670 | 0.0633 |
| 0.166 | 6.68 | 6680 | 0.0632 |
| 0.089 | 6.69 | 6690 | 0.0632 |
| 0.1177 | 6.7 | 6700 | 0.0634 |
| 0.1074 | 6.71 | 6710 | 0.0635 |
| 0.1224 | 6.72 | 6720 | 0.0636 |
| 0.1754 | 6.73 | 6730 | 0.0634 |
| 0.1731 | 6.74 | 6740 | 0.0632 |
| 0.1566 | 6.75 | 6750 | 0.0631 |
| 0.1139 | 6.76 | 6760 | 0.0633 |
| 0.1255 | 6.77 | 6770 | 0.0634 |
| 0.166 | 6.78 | 6780 | 0.0636 |
| 0.1192 | 6.79 | 6790 | 0.0638 |
| 0.1203 | 6.8 | 6800 | 0.0639 |
| 0.1021 | 6.81 | 6810 | 0.0641 |
| 0.141 | 6.82 | 6820 | 0.0641 |
| 0.1272 | 6.83 | 6830 | 0.0643 |
| 0.1449 | 6.84 | 6840 | 0.0645 |
| 0.1459 | 6.85 | 6850 | 0.0645 |
| 0.094 | 6.86 | 6860 | 0.0644 |
| 0.1866 | 6.87 | 6870 | 0.0644 |
| 0.1521 | 6.88 | 6880 | 0.0646 |
| 0.1423 | 6.89 | 6890 | 0.0647 |
| 0.1465 | 6.9 | 6900 | 0.0648 |
| 0.1328 | 6.91 | 6910 | 0.0651 |
| 0.1 | 6.92 | 6920 | 0.0653 |
| 0.1292 | 6.93 | 6930 | 0.0653 |
| 0.1406 | 6.94 | 6940 | 0.0650 |
| 0.116 | 6.95 | 6950 | 0.0648 |
| 0.1355 | 6.96 | 6960 | 0.0645 |
| 0.1491 | 6.97 | 6970 | 0.0643 |
| 0.1359 | 6.98 | 6980 | 0.0643 |
| 0.1374 | 6.99 | 6990 | 0.0644 |
| 0.1129 | 7.0 | 7000 | 0.0645 |
| 0.1317 | 7.01 | 7010 | 0.0645 |
| 0.2238 | 7.02 | 7020 | 0.0646 |
| 0.1062 | 7.03 | 7030 | 0.0645 |
| 0.1742 | 7.04 | 7040 | 0.0646 |
| 0.1234 | 7.05 | 7050 | 0.0649 |
| 0.1861 | 7.06 | 7060 | 0.0649 |
| 0.1154 | 7.07 | 7070 | 0.0647 |
| 0.1185 | 7.08 | 7080 | 0.0647 |
| 0.1065 | 7.09 | 7090 | 0.0648 |
| 0.1047 | 7.1 | 7100 | 0.0649 |
| 0.1669 | 7.11 | 7110 | 0.0647 |
| 0.1304 | 7.12 | 7120 | 0.0646 |
| 0.0801 | 7.13 | 7130 | 0.0646 |
| 0.1261 | 7.14 | 7140 | 0.0648 |
| 0.171 | 7.15 | 7150 | 0.0648 |
| 0.1338 | 7.16 | 7160 | 0.0647 |
| 0.1074 | 7.17 | 7170 | 0.0646 |
| 0.1485 | 7.18 | 7180 | 0.0645 |
| 0.1314 | 7.19 | 7190 | 0.0645 |
| 0.1507 | 7.2 | 7200 | 0.0646 |
| 0.1734 | 7.21 | 7210 | 0.0646 |
| 0.1873 | 7.22 | 7220 | 0.0647 |
| 0.1544 | 7.23 | 7230 | 0.0645 |
| 0.1222 | 7.24 | 7240 | 0.0646 |
| 0.157 | 7.25 | 7250 | 0.0644 |
| 0.1391 | 7.26 | 7260 | 0.0644 |
| 0.162 | 7.27 | 7270 | 0.0644 |
| 0.1089 | 7.28 | 7280 | 0.0644 |
| 0.125 | 7.29 | 7290 | 0.0643 |
| 0.1363 | 7.3 | 7300 | 0.0643 |
| 0.1205 | 7.31 | 7310 | 0.0645 |
| 0.1116 | 7.32 | 7320 | 0.0648 |
| 0.1194 | 7.33 | 7330 | 0.0648 |
| 0.153 | 7.34 | 7340 | 0.0649 |
| 0.1262 | 7.35 | 7350 | 0.0647 |
| 0.1234 | 7.36 | 7360 | 0.0646 |
| 0.1381 | 7.37 | 7370 | 0.0646 |
| 0.1108 | 7.38 | 7380 | 0.0647 |
| 0.1719 | 7.39 | 7390 | 0.0645 |
| 0.1293 | 7.4 | 7400 | 0.0644 |
| 0.1562 | 7.41 | 7410 | 0.0643 |
| 0.149 | 7.42 | 7420 | 0.0644 |
| 0.0926 | 7.43 | 7430 | 0.0641 |
| 0.1603 | 7.44 | 7440 | 0.0640 |
| 0.1599 | 7.45 | 7450 | 0.0639 |
| 0.1281 | 7.46 | 7460 | 0.0640 |
| 0.146 | 7.47 | 7470 | 0.0643 |
| 0.1498 | 7.48 | 7480 | 0.0643 |
| 0.1699 | 7.49 | 7490 | 0.0644 |
| 0.1092 | 7.5 | 7500 | 0.0646 |
| 0.1338 | 7.51 | 7510 | 0.0646 |
| 0.1532 | 7.52 | 7520 | 0.0643 |
| 0.1016 | 7.53 | 7530 | 0.0642 |
| 0.1286 | 7.54 | 7540 | 0.0643 |
| 0.1242 | 7.55 | 7550 | 0.0642 |
| 0.1485 | 7.56 | 7560 | 0.0641 |
| 0.1754 | 7.57 | 7570 | 0.0639 |
| 0.1637 | 7.58 | 7580 | 0.0639 |
| 0.1075 | 7.59 | 7590 | 0.0639 |
| 0.1288 | 7.6 | 7600 | 0.0640 |
| 0.1639 | 7.61 | 7610 | 0.0640 |
| 0.1185 | 7.62 | 7620 | 0.0640 |
| 0.1321 | 7.63 | 7630 | 0.0639 |
| 0.1589 | 7.64 | 7640 | 0.0636 |
| 0.094 | 7.65 | 7650 | 0.0634 |
| 0.1115 | 7.66 | 7660 | 0.0635 |
| 0.1365 | 7.67 | 7670 | 0.0635 |
| 0.1567 | 7.68 | 7680 | 0.0636 |
| 0.182 | 7.69 | 7690 | 0.0636 |
| 0.1195 | 7.7 | 7700 | 0.0636 |
| 0.158 | 7.71 | 7710 | 0.0637 |
| 0.1354 | 7.72 | 7720 | 0.0638 |
| 0.1508 | 7.73 | 7730 | 0.0637 |
| 0.0876 | 7.74 | 7740 | 0.0639 |
| 0.1241 | 7.75 | 7750 | 0.0640 |
| 0.2049 | 7.76 | 7760 | 0.0641 |
| 0.1859 | 7.77 | 7770 | 0.0645 |
| 0.1036 | 7.78 | 7780 | 0.0645 |
| 0.1015 | 7.79 | 7790 | 0.0643 |
| 0.1235 | 7.8 | 7800 | 0.0639 |
| 0.1594 | 7.81 | 7810 | 0.0640 |
| 0.1295 | 7.82 | 7820 | 0.0642 |
| 0.152 | 7.83 | 7830 | 0.0645 |
| 0.1496 | 7.84 | 7840 | 0.0647 |
| 0.1353 | 7.85 | 7850 | 0.0648 |
| 0.1206 | 7.86 | 7860 | 0.0649 |
| 0.1627 | 7.87 | 7870 | 0.0651 |
| 0.1132 | 7.88 | 7880 | 0.0653 |
| 0.154 | 7.89 | 7890 | 0.0652 |
| 0.153 | 7.9 | 7900 | 0.0649 |
| 0.1225 | 7.91 | 7910 | 0.0648 |
| 0.1494 | 7.92 | 7920 | 0.0648 |
| 0.1358 | 7.93 | 7930 | 0.0647 |
| 0.1137 | 7.94 | 7940 | 0.0648 |
| 0.1546 | 7.95 | 7950 | 0.0647 |
| 0.114 | 7.96 | 7960 | 0.0644 |
| 0.1939 | 7.97 | 7970 | 0.0644 |
| 0.1276 | 7.98 | 7980 | 0.0641 |
| 0.1096 | 7.99 | 7990 | 0.0639 |
| 0.1764 | 8.0 | 8000 | 0.0639 |
| 0.1029 | 8.01 | 8010 | 0.0642 |
| 0.1344 | 8.02 | 8020 | 0.0641 |
| 0.1422 | 8.03 | 8030 | 0.0643 |
| 0.1055 | 8.04 | 8040 | 0.0645 |
| 0.1231 | 8.05 | 8050 | 0.0646 |
| 0.1303 | 8.06 | 8060 | 0.0648 |
| 0.1421 | 8.07 | 8070 | 0.0651 |
| 0.1325 | 8.08 | 8080 | 0.0651 |
| 0.0797 | 8.09 | 8090 | 0.0649 |
| 0.0961 | 8.1 | 8100 | 0.0647 |
| 0.1156 | 8.11 | 8110 | 0.0647 |
| 0.1529 | 8.12 | 8120 | 0.0648 |
| 0.1756 | 8.13 | 8130 | 0.0648 |
| 0.1158 | 8.14 | 8140 | 0.0651 |
| 0.1302 | 8.15 | 8150 | 0.0654 |
| 0.1404 | 8.16 | 8160 | 0.0658 |
| 0.1445 | 8.17 | 8170 | 0.0662 |
| 0.1499 | 8.18 | 8180 | 0.0662 |
| 0.1375 | 8.19 | 8190 | 0.0663 |
| 0.1663 | 8.2 | 8200 | 0.0662 |
| 0.1744 | 8.21 | 8210 | 0.0661 |
| 0.1414 | 8.22 | 8220 | 0.0658 |
| 0.0964 | 8.23 | 8230 | 0.0658 |
| 0.1214 | 8.24 | 8240 | 0.0655 |
| 0.1492 | 8.25 | 8250 | 0.0653 |
| 0.1534 | 8.26 | 8260 | 0.0654 |
| 0.1038 | 8.27 | 8270 | 0.0655 |
| 0.1779 | 8.28 | 8280 | 0.0655 |
| 0.1801 | 8.29 | 8290 | 0.0657 |
| 0.1314 | 8.3 | 8300 | 0.0658 |
| 0.1598 | 8.31 | 8310 | 0.0657 |
| 0.1078 | 8.32 | 8320 | 0.0653 |
| 0.1672 | 8.33 | 8330 | 0.0649 |
| 0.113 | 8.34 | 8340 | 0.0649 |
| 0.1046 | 8.35 | 8350 | 0.0650 |
| 0.1625 | 8.36 | 8360 | 0.0650 |
| 0.1112 | 8.37 | 8370 | 0.0650 |
| 0.1278 | 8.38 | 8380 | 0.0649 |
| 0.1684 | 8.39 | 8390 | 0.0647 |
| 0.2318 | 8.4 | 8400 | 0.0647 |
| 0.1687 | 8.41 | 8410 | 0.0648 |
| 0.1283 | 8.42 | 8420 | 0.0649 |
| 0.1107 | 8.43 | 8430 | 0.0650 |
| 0.1092 | 8.44 | 8440 | 0.0652 |
| 0.0851 | 8.45 | 8450 | 0.0653 |
| 0.1263 | 8.46 | 8460 | 0.0656 |
| 0.1936 | 8.47 | 8470 | 0.0656 |
| 0.1608 | 8.48 | 8480 | 0.0656 |
| 0.1023 | 8.49 | 8490 | 0.0656 |
| 0.1153 | 8.5 | 8500 | 0.0658 |
| 0.1682 | 8.51 | 8510 | 0.0659 |
| 0.1407 | 8.52 | 8520 | 0.0660 |
| 0.104 | 8.53 | 8530 | 0.0660 |
| 0.1371 | 8.54 | 8540 | 0.0659 |
| 0.1068 | 8.55 | 8550 | 0.0659 |
| 0.1418 | 8.56 | 8560 | 0.0660 |
| 0.1451 | 8.57 | 8570 | 0.0660 |
| 0.1379 | 8.58 | 8580 | 0.0661 |
| 0.1732 | 8.59 | 8590 | 0.0660 |
| 0.1287 | 8.6 | 8600 | 0.0658 |
| 0.1821 | 8.61 | 8610 | 0.0657 |
| 0.1184 | 8.62 | 8620 | 0.0657 |
| 0.1194 | 8.63 | 8630 | 0.0658 |
| 0.083 | 8.64 | 8640 | 0.0660 |
| 0.1724 | 8.65 | 8650 | 0.0661 |
| 0.1504 | 8.66 | 8660 | 0.0659 |
| 0.1338 | 8.67 | 8670 | 0.0658 |
| 0.1372 | 8.68 | 8680 | 0.0658 |
| 0.1367 | 8.69 | 8690 | 0.0658 |
| 0.1665 | 8.7 | 8700 | 0.0659 |
| 0.1389 | 8.71 | 8710 | 0.0660 |
| 0.1272 | 8.72 | 8720 | 0.0660 |
| 0.1595 | 8.73 | 8730 | 0.0659 |
| 0.1644 | 8.74 | 8740 | 0.0658 |
| 0.1249 | 8.75 | 8750 | 0.0658 |
| 0.1276 | 8.76 | 8760 | 0.0658 |
| 0.1103 | 8.77 | 8770 | 0.0657 |
| 0.1664 | 8.78 | 8780 | 0.0658 |
| 0.1832 | 8.79 | 8790 | 0.0661 |
| 0.1075 | 8.8 | 8800 | 0.0662 |
| 0.1526 | 8.81 | 8810 | 0.0663 |
| 0.1215 | 8.82 | 8820 | 0.0666 |
| 0.1317 | 8.83 | 8830 | 0.0668 |
| 0.1425 | 8.84 | 8840 | 0.0668 |
| 0.1572 | 8.85 | 8850 | 0.0668 |
| 0.1012 | 8.86 | 8860 | 0.0667 |
| 0.1222 | 8.87 | 8870 | 0.0665 |
| 0.1723 | 8.88 | 8880 | 0.0665 |
| 0.1139 | 8.89 | 8890 | 0.0665 |
| 0.1351 | 8.9 | 8900 | 0.0665 |
| 0.1258 | 8.91 | 8910 | 0.0666 |
| 0.1387 | 8.92 | 8920 | 0.0667 |
| 0.1554 | 8.93 | 8930 | 0.0664 |
| 0.1454 | 8.94 | 8940 | 0.0662 |
| 0.1066 | 8.95 | 8950 | 0.0661 |
| 0.1047 | 8.96 | 8960 | 0.0659 |
| 0.168 | 8.97 | 8970 | 0.0658 |
| 0.1162 | 8.98 | 8980 | 0.0656 |
| 0.109 | 8.99 | 8990 | 0.0654 |
| 0.1262 | 9.0 | 9000 | 0.0653 |
| 0.1563 | 9.01 | 9010 | 0.0651 |
| 0.13 | 9.02 | 9020 | 0.0650 |
| 0.1608 | 9.03 | 9030 | 0.0651 |
| 0.1369 | 9.04 | 9040 | 0.0650 |
| 0.1386 | 9.05 | 9050 | 0.0646 |
| 0.0843 | 9.06 | 9060 | 0.0644 |
| 0.0719 | 9.07 | 9070 | 0.0643 |
| 0.146 | 9.08 | 9080 | 0.0641 |
| 0.132 | 9.09 | 9090 | 0.0640 |
| 0.1425 | 9.1 | 9100 | 0.0639 |
| 0.1097 | 9.11 | 9110 | 0.0640 |
| 0.1684 | 9.12 | 9120 | 0.0641 |
| 0.1891 | 9.13 | 9130 | 0.0640 |
| 0.1083 | 9.14 | 9140 | 0.0641 |
| 0.1265 | 9.15 | 9150 | 0.0643 |
| 0.1183 | 9.16 | 9160 | 0.0646 |
| 0.0971 | 9.17 | 9170 | 0.0647 |
| 0.17 | 9.18 | 9180 | 0.0645 |
| 0.1074 | 9.19 | 9190 | 0.0646 |
| 0.1517 | 9.2 | 9200 | 0.0647 |
| 0.1763 | 9.21 | 9210 | 0.0648 |
| 0.1031 | 9.22 | 9220 | 0.0647 |
| 0.1419 | 9.23 | 9230 | 0.0647 |
| 0.1451 | 9.24 | 9240 | 0.0649 |
| 0.1657 | 9.25 | 9250 | 0.0651 |
| 0.1327 | 9.26 | 9260 | 0.0652 |
| 0.1279 | 9.27 | 9270 | 0.0653 |
| 0.111 | 9.28 | 9280 | 0.0656 |
| 0.1062 | 9.29 | 9290 | 0.0658 |
| 0.1185 | 9.3 | 9300 | 0.0657 |
| 0.1539 | 9.31 | 9310 | 0.0658 |
| 0.2525 | 9.32 | 9320 | 0.0656 |
| 0.0985 | 9.33 | 9330 | 0.0655 |
| 0.1161 | 9.34 | 9340 | 0.0656 |
| 0.1462 | 9.35 | 9350 | 0.0655 |
| 0.1229 | 9.36 | 9360 | 0.0655 |
| 0.102 | 9.37 | 9370 | 0.0655 |
| 0.155 | 9.38 | 9380 | 0.0656 |
| 0.1747 | 9.39 | 9390 | 0.0657 |
| 0.0887 | 9.4 | 9400 | 0.0657 |
| 0.1341 | 9.41 | 9410 | 0.0654 |
| 0.1598 | 9.42 | 9420 | 0.0652 |
| 0.1299 | 9.43 | 9430 | 0.0654 |
| 0.0918 | 9.44 | 9440 | 0.0655 |
| 0.1463 | 9.45 | 9450 | 0.0654 |
| 0.1867 | 9.46 | 9460 | 0.0654 |
| 0.1602 | 9.47 | 9470 | 0.0653 |
| 0.1077 | 9.48 | 9480 | 0.0653 |
| 0.1052 | 9.49 | 9490 | 0.0653 |
| 0.1283 | 9.5 | 9500 | 0.0650 |
| 0.1888 | 9.51 | 9510 | 0.0647 |
| 0.1381 | 9.52 | 9520 | 0.0646 |
| 0.0842 | 9.53 | 9530 | 0.0645 |
| 0.086 | 9.54 | 9540 | 0.0644 |
| 0.1155 | 9.55 | 9550 | 0.0645 |
| 0.114 | 9.56 | 9560 | 0.0646 |
| 0.1042 | 9.57 | 9570 | 0.0649 |
| 0.1629 | 9.58 | 9580 | 0.0651 |
| 0.1641 | 9.59 | 9590 | 0.0652 |
| 0.1158 | 9.6 | 9600 | 0.0654 |
| 0.0971 | 9.61 | 9610 | 0.0656 |
| 0.1908 | 9.62 | 9620 | 0.0656 |
| 0.1158 | 9.63 | 9630 | 0.0656 |
| 0.1543 | 9.64 | 9640 | 0.0656 |
| 0.1667 | 9.65 | 9650 | 0.0656 |
| 0.1439 | 9.66 | 9660 | 0.0656 |
| 0.1375 | 9.67 | 9670 | 0.0658 |
| 0.1048 | 9.68 | 9680 | 0.0660 |
| 0.1551 | 9.69 | 9690 | 0.0659 |
| 0.1096 | 9.7 | 9700 | 0.0658 |
| 0.1017 | 9.71 | 9710 | 0.0657 |
| 0.1198 | 9.72 | 9720 | 0.0657 |
| 0.1345 | 9.73 | 9730 | 0.0657 |
| 0.1268 | 9.74 | 9740 | 0.0657 |
| 0.124 | 9.75 | 9750 | 0.0657 |
| 0.1313 | 9.76 | 9760 | 0.0658 |
| 0.1956 | 9.77 | 9770 | 0.0658 |
| 0.0982 | 9.78 | 9780 | 0.0658 |
| 0.1091 | 9.79 | 9790 | 0.0658 |
| 0.1686 | 9.8 | 9800 | 0.0658 |
| 0.1185 | 9.81 | 9810 | 0.0656 |
| 0.1886 | 9.82 | 9820 | 0.0654 |
| 0.0923 | 9.83 | 9830 | 0.0653 |
| 0.1339 | 9.84 | 9840 | 0.0651 |
| 0.1813 | 9.85 | 9850 | 0.0651 |
| 0.1073 | 9.86 | 9860 | 0.0651 |
| 0.1452 | 9.87 | 9870 | 0.0650 |
| 0.138 | 9.88 | 9880 | 0.0648 |
| 0.1151 | 9.89 | 9890 | 0.0648 |
| 0.1364 | 9.9 | 9900 | 0.0647 |
| 0.1233 | 9.91 | 9910 | 0.0646 |
| 0.1475 | 9.92 | 9920 | 0.0647 |
| 0.157 | 9.93 | 9930 | 0.0647 |
| 0.0869 | 9.94 | 9940 | 0.0649 |
| 0.1193 | 9.95 | 9950 | 0.0650 |
| 0.1836 | 9.96 | 9960 | 0.0650 |
| 0.159 | 9.97 | 9970 | 0.0649 |
| 0.1575 | 9.98 | 9980 | 0.0650 |
| 0.141 | 9.99 | 9990 | 0.0649 |
| 0.1398 | 10.0 | 10000 | 0.0651 |
| 0.1547 | 10.01 | 10010 | 0.0650 |
| 0.1328 | 10.02 | 10020 | 0.0650 |
| 0.1164 | 10.03 | 10030 | 0.0649 |
| 0.1846 | 10.04 | 10040 | 0.0650 |
| 0.1184 | 10.05 | 10050 | 0.0651 |
| 0.1044 | 10.06 | 10060 | 0.0651 |
| 0.1384 | 10.07 | 10070 | 0.0650 |
| 0.1416 | 10.08 | 10080 | 0.0650 |
| 0.1547 | 10.09 | 10090 | 0.0650 |
| 0.0962 | 10.1 | 10100 | 0.0650 |
| 0.1004 | 10.11 | 10110 | 0.0651 |
| 0.155 | 10.12 | 10120 | 0.0652 |
| 0.1257 | 10.13 | 10130 | 0.0653 |
| 0.1257 | 10.14 | 10140 | 0.0653 |
| 0.0995 | 10.15 | 10150 | 0.0653 |
| 0.1006 | 10.16 | 10160 | 0.0655 |
| 0.0971 | 10.17 | 10170 | 0.0655 |
| 0.1214 | 10.18 | 10180 | 0.0657 |
| 0.1752 | 10.19 | 10190 | 0.0659 |
| 0.0797 | 10.2 | 10200 | 0.0659 |
| 0.1589 | 10.21 | 10210 | 0.0660 |
| 0.1616 | 10.22 | 10220 | 0.0661 |
| 0.086 | 10.23 | 10230 | 0.0662 |
| 0.1542 | 10.24 | 10240 | 0.0662 |
| 0.1493 | 10.25 | 10250 | 0.0660 |
| 0.1095 | 10.26 | 10260 | 0.0658 |
| 0.1545 | 10.27 | 10270 | 0.0657 |
| 0.1587 | 10.28 | 10280 | 0.0655 |
| 0.1758 | 10.29 | 10290 | 0.0655 |
| 0.1366 | 10.3 | 10300 | 0.0655 |
| 0.146 | 10.31 | 10310 | 0.0657 |
| 0.0977 | 10.32 | 10320 | 0.0660 |
| 0.085 | 10.33 | 10330 | 0.0663 |
| 0.1037 | 10.34 | 10340 | 0.0664 |
| 0.126 | 10.35 | 10350 | 0.0664 |
| 0.1065 | 10.36 | 10360 | 0.0665 |
| 0.0984 | 10.37 | 10370 | 0.0663 |
| 0.1078 | 10.38 | 10380 | 0.0661 |
| 0.17 | 10.39 | 10390 | 0.0659 |
| 0.1721 | 10.4 | 10400 | 0.0659 |
| 0.1347 | 10.41 | 10410 | 0.0657 |
| 0.2179 | 10.42 | 10420 | 0.0656 |
| 0.0688 | 10.43 | 10430 | 0.0656 |
| 0.1147 | 10.44 | 10440 | 0.0656 |
| 0.1239 | 10.45 | 10450 | 0.0656 |
| 0.1013 | 10.46 | 10460 | 0.0658 |
| 0.1596 | 10.47 | 10470 | 0.0661 |
| 0.101 | 10.48 | 10480 | 0.0662 |
| 0.1111 | 10.49 | 10490 | 0.0662 |
| 0.1179 | 10.5 | 10500 | 0.0662 |
| 0.1017 | 10.51 | 10510 | 0.0663 |
| 0.1477 | 10.52 | 10520 | 0.0661 |
| 0.1484 | 10.53 | 10530 | 0.0658 |
| 0.1598 | 10.54 | 10540 | 0.0659 |
| 0.1807 | 10.55 | 10550 | 0.0660 |
| 0.1616 | 10.56 | 10560 | 0.0660 |
| 0.1226 | 10.57 | 10570 | 0.0659 |
| 0.1563 | 10.58 | 10580 | 0.0656 |
| 0.1705 | 10.59 | 10590 | 0.0654 |
| 0.1488 | 10.6 | 10600 | 0.0655 |
| 0.1665 | 10.61 | 10610 | 0.0655 |
| 0.1165 | 10.62 | 10620 | 0.0655 |
| 0.1412 | 10.63 | 10630 | 0.0656 |
| 0.1515 | 10.64 | 10640 | 0.0657 |
| 0.1292 | 10.65 | 10650 | 0.0658 |
| 0.1175 | 10.66 | 10660 | 0.0657 |
| 0.1188 | 10.67 | 10670 | 0.0658 |
| 0.106 | 10.68 | 10680 | 0.0659 |
| 0.1239 | 10.69 | 10690 | 0.0659 |
| 0.1326 | 10.7 | 10700 | 0.0659 |
| 0.2108 | 10.71 | 10710 | 0.0661 |
| 0.1472 | 10.72 | 10720 | 0.0662 |
| 0.1237 | 10.73 | 10730 | 0.0662 |
| 0.1493 | 10.74 | 10740 | 0.0663 |
| 0.0985 | 10.75 | 10750 | 0.0664 |
| 0.1048 | 10.76 | 10760 | 0.0664 |
| 0.1236 | 10.77 | 10770 | 0.0665 |
| 0.108 | 10.78 | 10780 | 0.0667 |
| 0.1386 | 10.79 | 10790 | 0.0665 |
| 0.1501 | 10.8 | 10800 | 0.0664 |
| 0.1341 | 10.81 | 10810 | 0.0664 |
| 0.1171 | 10.82 | 10820 | 0.0665 |
| 0.1243 | 10.83 | 10830 | 0.0664 |
| 0.1225 | 10.84 | 10840 | 0.0662 |
| 0.2065 | 10.85 | 10850 | 0.0661 |
| 0.1032 | 10.86 | 10860 | 0.0661 |
| 0.1433 | 10.87 | 10870 | 0.0661 |
| 0.1933 | 10.88 | 10880 | 0.0662 |
| 0.1344 | 10.89 | 10890 | 0.0661 |
| 0.1046 | 10.9 | 10900 | 0.0662 |
| 0.1352 | 10.91 | 10910 | 0.0662 |
| 0.1302 | 10.92 | 10920 | 0.0663 |
| 0.1237 | 10.93 | 10930 | 0.0663 |
| 0.0985 | 10.94 | 10940 | 0.0664 |
| 0.1186 | 10.95 | 10950 | 0.0664 |
| 0.1929 | 10.96 | 10960 | 0.0664 |
| 0.1224 | 10.97 | 10970 | 0.0664 |
| 0.1753 | 10.98 | 10980 | 0.0664 |
| 0.1151 | 10.99 | 10990 | 0.0663 |
| 0.1213 | 11.0 | 11000 | 0.0661 |
| 0.148 | 11.01 | 11010 | 0.0660 |
| 0.1005 | 11.02 | 11020 | 0.0660 |
| 0.1579 | 11.03 | 11030 | 0.0660 |
| 0.1275 | 11.04 | 11040 | 0.0661 |
| 0.1498 | 11.05 | 11050 | 0.0664 |
| 0.1036 | 11.06 | 11060 | 0.0666 |
| 0.1002 | 11.07 | 11070 | 0.0668 |
| 0.1007 | 11.08 | 11080 | 0.0669 |
| 0.129 | 11.09 | 11090 | 0.0667 |
| 0.1988 | 11.1 | 11100 | 0.0666 |
| 0.1252 | 11.11 | 11110 | 0.0667 |
| 0.13 | 11.12 | 11120 | 0.0667 |
| 0.146 | 11.13 | 11130 | 0.0669 |
| 0.1384 | 11.14 | 11140 | 0.0669 |
| 0.1405 | 11.15 | 11150 | 0.0667 |
| 0.1023 | 11.16 | 11160 | 0.0666 |
| 0.156 | 11.17 | 11170 | 0.0664 |
| 0.0964 | 11.18 | 11180 | 0.0663 |
| 0.1173 | 11.19 | 11190 | 0.0663 |
| 0.084 | 11.2 | 11200 | 0.0662 |
| 0.1295 | 11.21 | 11210 | 0.0662 |
| 0.1377 | 11.22 | 11220 | 0.0661 |
| 0.1008 | 11.23 | 11230 | 0.0660 |
| 0.1132 | 11.24 | 11240 | 0.0659 |
| 0.1646 | 11.25 | 11250 | 0.0658 |
| 0.103 | 11.26 | 11260 | 0.0659 |
| 0.1331 | 11.27 | 11270 | 0.0659 |
| 0.1153 | 11.28 | 11280 | 0.0659 |
| 0.1457 | 11.29 | 11290 | 0.0658 |
| 0.1257 | 11.3 | 11300 | 0.0658 |
| 0.1541 | 11.31 | 11310 | 0.0659 |
| 0.1449 | 11.32 | 11320 | 0.0660 |
| 0.1419 | 11.33 | 11330 | 0.0661 |
| 0.118 | 11.34 | 11340 | 0.0661 |
| 0.1562 | 11.35 | 11350 | 0.0660 |
| 0.1441 | 11.36 | 11360 | 0.0661 |
| 0.1663 | 11.37 | 11370 | 0.0661 |
| 0.1754 | 11.38 | 11380 | 0.0661 |
| 0.0888 | 11.39 | 11390 | 0.0662 |
| 0.084 | 11.4 | 11400 | 0.0661 |
| 0.1095 | 11.41 | 11410 | 0.0661 |
| 0.1594 | 11.42 | 11420 | 0.0663 |
| 0.0926 | 11.43 | 11430 | 0.0664 |
| 0.1073 | 11.44 | 11440 | 0.0664 |
| 0.1468 | 11.45 | 11450 | 0.0663 |
| 0.1433 | 11.46 | 11460 | 0.0661 |
| 0.1353 | 11.47 | 11470 | 0.0660 |
| 0.1437 | 11.48 | 11480 | 0.0659 |
| 0.164 | 11.49 | 11490 | 0.0657 |
| 0.0949 | 11.5 | 11500 | 0.0656 |
| 0.0891 | 11.51 | 11510 | 0.0656 |
| 0.1316 | 11.52 | 11520 | 0.0656 |
| 0.1462 | 11.53 | 11530 | 0.0656 |
| 0.0974 | 11.54 | 11540 | 0.0656 |
| 0.121 | 11.55 | 11550 | 0.0656 |
| 0.1708 | 11.56 | 11560 | 0.0657 |
| 0.1312 | 11.57 | 11570 | 0.0657 |
| 0.1593 | 11.58 | 11580 | 0.0658 |
| 0.171 | 11.59 | 11590 | 0.0659 |
| 0.1354 | 11.6 | 11600 | 0.0659 |
| 0.1329 | 11.61 | 11610 | 0.0661 |
| 0.1405 | 11.62 | 11620 | 0.0660 |
| 0.1587 | 11.63 | 11630 | 0.0657 |
| 0.1106 | 11.64 | 11640 | 0.0659 |
| 0.1189 | 11.65 | 11650 | 0.0661 |
| 0.2006 | 11.66 | 11660 | 0.0662 |
| 0.1378 | 11.67 | 11670 | 0.0662 |
| 0.1274 | 11.68 | 11680 | 0.0663 |
| 0.1286 | 11.69 | 11690 | 0.0663 |
| 0.1211 | 11.7 | 11700 | 0.0664 |
| 0.1863 | 11.71 | 11710 | 0.0665 |
| 0.1428 | 11.72 | 11720 | 0.0667 |
| 0.1179 | 11.73 | 11730 | 0.0666 |
| 0.1265 | 11.74 | 11740 | 0.0668 |
| 0.1597 | 11.75 | 11750 | 0.0668 |
| 0.1148 | 11.76 | 11760 | 0.0669 |
| 0.14 | 11.77 | 11770 | 0.0668 |
| 0.1796 | 11.78 | 11780 | 0.0669 |
| 0.0774 | 11.79 | 11790 | 0.0670 |
| 0.1063 | 11.8 | 11800 | 0.0671 |
| 0.1279 | 11.81 | 11810 | 0.0672 |
| 0.1454 | 11.82 | 11820 | 0.0672 |
| 0.1495 | 11.83 | 11830 | 0.0672 |
| 0.1434 | 11.84 | 11840 | 0.0671 |
| 0.1312 | 11.85 | 11850 | 0.0672 |
| 0.1681 | 11.86 | 11860 | 0.0672 |
| 0.1374 | 11.87 | 11870 | 0.0672 |
| 0.0941 | 11.88 | 11880 | 0.0672 |
| 0.1178 | 11.89 | 11890 | 0.0672 |
| 0.099 | 11.9 | 11900 | 0.0671 |
| 0.1277 | 11.91 | 11910 | 0.0670 |
| 0.1463 | 11.92 | 11920 | 0.0669 |
| 0.124 | 11.93 | 11930 | 0.0669 |
| 0.1313 | 11.94 | 11940 | 0.0669 |
| 0.1254 | 11.95 | 11950 | 0.0669 |
| 0.1122 | 11.96 | 11960 | 0.0669 |
| 0.1844 | 11.97 | 11970 | 0.0669 |
| 0.099 | 11.98 | 11980 | 0.0670 |
| 0.1258 | 11.99 | 11990 | 0.0671 |
| 0.12 | 12.0 | 12000 | 0.0671 |
| 0.1278 | 12.01 | 12010 | 0.0672 |
| 0.1319 | 12.02 | 12020 | 0.0673 |
| 0.1171 | 12.03 | 12030 | 0.0673 |
| 0.1386 | 12.04 | 12040 | 0.0672 |
| 0.1322 | 12.05 | 12050 | 0.0670 |
| 0.1792 | 12.06 | 12060 | 0.0669 |
| 0.1276 | 12.07 | 12070 | 0.0666 |
| 0.1444 | 12.08 | 12080 | 0.0666 |
| 0.1319 | 12.09 | 12090 | 0.0666 |
| 0.1464 | 12.1 | 12100 | 0.0667 |
| 0.1341 | 12.11 | 12110 | 0.0667 |
| 0.1384 | 12.12 | 12120 | 0.0667 |
| 0.1442 | 12.13 | 12130 | 0.0668 |
| 0.1542 | 12.14 | 12140 | 0.0669 |
| 0.0987 | 12.15 | 12150 | 0.0670 |
| 0.1363 | 12.16 | 12160 | 0.0670 |
| 0.1716 | 12.17 | 12170 | 0.0670 |
| 0.1187 | 12.18 | 12180 | 0.0670 |
| 0.1646 | 12.19 | 12190 | 0.0670 |
| 0.0963 | 12.2 | 12200 | 0.0669 |
| 0.1797 | 12.21 | 12210 | 0.0667 |
| 0.1505 | 12.22 | 12220 | 0.0668 |
| 0.1135 | 12.23 | 12230 | 0.0669 |
| 0.1419 | 12.24 | 12240 | 0.0669 |
| 0.1102 | 12.25 | 12250 | 0.0669 |
| 0.0998 | 12.26 | 12260 | 0.0669 |
| 0.146 | 12.27 | 12270 | 0.0670 |
| 0.1438 | 12.28 | 12280 | 0.0670 |
| 0.1051 | 12.29 | 12290 | 0.0670 |
| 0.1023 | 12.3 | 12300 | 0.0669 |
| 0.0765 | 12.31 | 12310 | 0.0670 |
| 0.1629 | 12.32 | 12320 | 0.0670 |
| 0.1869 | 12.33 | 12330 | 0.0669 |
| 0.1629 | 12.34 | 12340 | 0.0667 |
| 0.0846 | 12.35 | 12350 | 0.0667 |
| 0.1336 | 12.36 | 12360 | 0.0668 |
| 0.0942 | 12.37 | 12370 | 0.0669 |
| 0.1513 | 12.38 | 12380 | 0.0670 |
| 0.1158 | 12.39 | 12390 | 0.0670 |
| 0.1026 | 12.4 | 12400 | 0.0672 |
| 0.1167 | 12.41 | 12410 | 0.0673 |
| 0.1051 | 12.42 | 12420 | 0.0674 |
| 0.1127 | 12.43 | 12430 | 0.0675 |
| 0.1346 | 12.44 | 12440 | 0.0676 |
| 0.1296 | 12.45 | 12450 | 0.0676 |
| 0.0994 | 12.46 | 12460 | 0.0674 |
| 0.0815 | 12.47 | 12470 | 0.0673 |
| 0.1575 | 12.48 | 12480 | 0.0673 |
| 0.1481 | 12.49 | 12490 | 0.0672 |
| 0.1694 | 12.5 | 12500 | 0.0672 |
| 0.1236 | 12.51 | 12510 | 0.0671 |
| 0.1346 | 12.52 | 12520 | 0.0672 |
| 0.1252 | 12.53 | 12530 | 0.0674 |
| 0.1392 | 12.54 | 12540 | 0.0673 |
| 0.0937 | 12.55 | 12550 | 0.0671 |
| 0.1199 | 12.56 | 12560 | 0.0671 |
| 0.1124 | 12.57 | 12570 | 0.0671 |
| 0.184 | 12.58 | 12580 | 0.0672 |
| 0.1092 | 12.59 | 12590 | 0.0673 |
| 0.1094 | 12.6 | 12600 | 0.0671 |
| 0.1447 | 12.61 | 12610 | 0.0670 |
| 0.1734 | 12.62 | 12620 | 0.0670 |
| 0.1351 | 12.63 | 12630 | 0.0671 |
| 0.1506 | 12.64 | 12640 | 0.0672 |
| 0.1695 | 12.65 | 12650 | 0.0672 |
| 0.0926 | 12.66 | 12660 | 0.0670 |
| 0.085 | 12.67 | 12670 | 0.0669 |
| 0.1957 | 12.68 | 12680 | 0.0669 |
| 0.1421 | 12.69 | 12690 | 0.0669 |
| 0.1538 | 12.7 | 12700 | 0.0668 |
| 0.0969 | 12.71 | 12710 | 0.0667 |
| 0.1072 | 12.72 | 12720 | 0.0668 |
| 0.1126 | 12.73 | 12730 | 0.0670 |
| 0.1013 | 12.74 | 12740 | 0.0671 |
| 0.1553 | 12.75 | 12750 | 0.0672 |
| 0.1494 | 12.76 | 12760 | 0.0673 |
| 0.0736 | 12.77 | 12770 | 0.0673 |
| 0.1924 | 12.78 | 12780 | 0.0674 |
| 0.1276 | 12.79 | 12790 | 0.0674 |
| 0.1599 | 12.8 | 12800 | 0.0675 |
| 0.122 | 12.81 | 12810 | 0.0677 |
| 0.1687 | 12.82 | 12820 | 0.0678 |
| 0.1597 | 12.83 | 12830 | 0.0677 |
| 0.1486 | 12.84 | 12840 | 0.0675 |
| 0.1001 | 12.85 | 12850 | 0.0675 |
| 0.0874 | 12.86 | 12860 | 0.0675 |
| 0.0952 | 12.87 | 12870 | 0.0675 |
| 0.1458 | 12.88 | 12880 | 0.0675 |
| 0.1472 | 12.89 | 12890 | 0.0675 |
| 0.1161 | 12.9 | 12900 | 0.0674 |
| 0.1455 | 12.91 | 12910 | 0.0673 |
| 0.1406 | 12.92 | 12920 | 0.0672 |
| 0.1108 | 12.93 | 12930 | 0.0672 |
| 0.1358 | 12.94 | 12940 | 0.0672 |
| 0.13 | 12.95 | 12950 | 0.0673 |
| 0.095 | 12.96 | 12960 | 0.0674 |
| 0.1302 | 12.97 | 12970 | 0.0674 |
| 0.1424 | 12.98 | 12980 | 0.0674 |
| 0.1343 | 12.99 | 12990 | 0.0674 |
| 0.0928 | 13.0 | 13000 | 0.0674 |
| 0.1126 | 13.01 | 13010 | 0.0674 |
| 0.1296 | 13.02 | 13020 | 0.0673 |
| 0.0952 | 13.03 | 13030 | 0.0672 |
| 0.1295 | 13.04 | 13040 | 0.0673 |
| 0.1826 | 13.05 | 13050 | 0.0673 |
| 0.1443 | 13.06 | 13060 | 0.0673 |
| 0.1527 | 13.07 | 13070 | 0.0673 |
| 0.142 | 13.08 | 13080 | 0.0674 |
| 0.0891 | 13.09 | 13090 | 0.0675 |
| 0.1165 | 13.1 | 13100 | 0.0677 |
| 0.0984 | 13.11 | 13110 | 0.0678 |
| 0.1501 | 13.12 | 13120 | 0.0678 |
| 0.2033 | 13.13 | 13130 | 0.0678 |
| 0.1264 | 13.14 | 13140 | 0.0678 |
| 0.1814 | 13.15 | 13150 | 0.0678 |
| 0.1828 | 13.16 | 13160 | 0.0678 |
| 0.0993 | 13.17 | 13170 | 0.0678 |
| 0.1141 | 13.18 | 13180 | 0.0676 |
| 0.1012 | 13.19 | 13190 | 0.0675 |
| 0.1036 | 13.2 | 13200 | 0.0674 |
| 0.1471 | 13.21 | 13210 | 0.0674 |
| 0.1388 | 13.22 | 13220 | 0.0674 |
| 0.106 | 13.23 | 13230 | 0.0673 |
| 0.1153 | 13.24 | 13240 | 0.0673 |
| 0.139 | 13.25 | 13250 | 0.0672 |
| 0.1298 | 13.26 | 13260 | 0.0671 |
| 0.1485 | 13.27 | 13270 | 0.0672 |
| 0.1664 | 13.28 | 13280 | 0.0671 |
| 0.13 | 13.29 | 13290 | 0.0669 |
| 0.1364 | 13.3 | 13300 | 0.0668 |
| 0.1537 | 13.31 | 13310 | 0.0670 |
| 0.2156 | 13.32 | 13320 | 0.0670 |
| 0.0895 | 13.33 | 13330 | 0.0670 |
| 0.138 | 13.34 | 13340 | 0.0671 |
| 0.1125 | 13.35 | 13350 | 0.0671 |
| 0.1168 | 13.36 | 13360 | 0.0671 |
| 0.1403 | 13.37 | 13370 | 0.0670 |
| 0.1249 | 13.38 | 13380 | 0.0670 |
| 0.1537 | 13.39 | 13390 | 0.0671 |
| 0.1391 | 13.4 | 13400 | 0.0671 |
| 0.1411 | 13.41 | 13410 | 0.0673 |
| 0.1082 | 13.42 | 13420 | 0.0675 |
| 0.1482 | 13.43 | 13430 | 0.0675 |
| 0.1452 | 13.44 | 13440 | 0.0675 |
| 0.1237 | 13.45 | 13450 | 0.0674 |
| 0.1095 | 13.46 | 13460 | 0.0672 |
| 0.1125 | 13.47 | 13470 | 0.0671 |
| 0.1165 | 13.48 | 13480 | 0.0672 |
| 0.1981 | 13.49 | 13490 | 0.0671 |
| 0.1634 | 13.5 | 13500 | 0.0671 |
| 0.161 | 13.51 | 13510 | 0.0673 |
| 0.1315 | 13.52 | 13520 | 0.0673 |
| 0.0916 | 13.53 | 13530 | 0.0674 |
| 0.1414 | 13.54 | 13540 | 0.0675 |
| 0.1313 | 13.55 | 13550 | 0.0675 |
| 0.0914 | 13.56 | 13560 | 0.0675 |
| 0.1081 | 13.57 | 13570 | 0.0675 |
| 0.1454 | 13.58 | 13580 | 0.0675 |
| 0.1472 | 13.59 | 13590 | 0.0675 |
| 0.099 | 13.6 | 13600 | 0.0676 |
| 0.1465 | 13.61 | 13610 | 0.0676 |
| 0.1276 | 13.62 | 13620 | 0.0675 |
| 0.109 | 13.63 | 13630 | 0.0674 |
| 0.1063 | 13.64 | 13640 | 0.0673 |
| 0.1552 | 13.65 | 13650 | 0.0673 |
| 0.105 | 13.66 | 13660 | 0.0673 |
| 0.1142 | 13.67 | 13670 | 0.0675 |
| 0.1519 | 13.68 | 13680 | 0.0676 |
| 0.1658 | 13.69 | 13690 | 0.0677 |
| 0.1445 | 13.7 | 13700 | 0.0677 |
| 0.1349 | 13.71 | 13710 | 0.0678 |
| 0.0989 | 13.72 | 13720 | 0.0678 |
| 0.1476 | 13.73 | 13730 | 0.0678 |
| 0.1408 | 13.74 | 13740 | 0.0678 |
| 0.0973 | 13.75 | 13750 | 0.0678 |
| 0.0911 | 13.76 | 13760 | 0.0678 |
| 0.1329 | 13.77 | 13770 | 0.0679 |
| 0.1466 | 13.78 | 13780 | 0.0678 |
| 0.1559 | 13.79 | 13790 | 0.0678 |
| 0.0985 | 13.8 | 13800 | 0.0677 |
| 0.1517 | 13.81 | 13810 | 0.0677 |
| 0.1126 | 13.82 | 13820 | 0.0677 |
| 0.1354 | 13.83 | 13830 | 0.0677 |
| 0.1257 | 13.84 | 13840 | 0.0677 |
| 0.1092 | 13.85 | 13850 | 0.0677 |
| 0.1596 | 13.86 | 13860 | 0.0676 |
| 0.1083 | 13.87 | 13870 | 0.0676 |
| 0.1004 | 13.88 | 13880 | 0.0678 |
| 0.1178 | 13.89 | 13890 | 0.0679 |
| 0.1418 | 13.9 | 13900 | 0.0680 |
| 0.1353 | 13.91 | 13910 | 0.0681 |
| 0.0727 | 13.92 | 13920 | 0.0681 |
| 0.1375 | 13.93 | 13930 | 0.0682 |
| 0.0958 | 13.94 | 13940 | 0.0681 |
| 0.1113 | 13.95 | 13950 | 0.0681 |
| 0.1047 | 13.96 | 13960 | 0.0680 |
| 0.0958 | 13.97 | 13970 | 0.0679 |
| 0.1237 | 13.98 | 13980 | 0.0678 |
| 0.1115 | 13.99 | 13990 | 0.0676 |
| 0.1609 | 14.0 | 14000 | 0.0674 |
| 0.1468 | 14.01 | 14010 | 0.0674 |
| 0.0906 | 14.02 | 14020 | 0.0674 |
| 0.0827 | 14.03 | 14030 | 0.0675 |
| 0.1283 | 14.04 | 14040 | 0.0674 |
| 0.1501 | 14.05 | 14050 | 0.0674 |
| 0.1385 | 14.06 | 14060 | 0.0674 |
| 0.1529 | 14.07 | 14070 | 0.0674 |
| 0.144 | 14.08 | 14080 | 0.0673 |
| 0.1779 | 14.09 | 14090 | 0.0673 |
| 0.1417 | 14.1 | 14100 | 0.0672 |
| 0.1297 | 14.11 | 14110 | 0.0671 |
| 0.1147 | 14.12 | 14120 | 0.0671 |
| 0.0785 | 14.13 | 14130 | 0.0671 |
| 0.1511 | 14.14 | 14140 | 0.0671 |
| 0.1242 | 14.15 | 14150 | 0.0671 |
| 0.1594 | 14.16 | 14160 | 0.0669 |
| 0.0934 | 14.17 | 14170 | 0.0668 |
| 0.1215 | 14.18 | 14180 | 0.0669 |
| 0.1903 | 14.19 | 14190 | 0.0670 |
| 0.1491 | 14.2 | 14200 | 0.0671 |
| 0.1379 | 14.21 | 14210 | 0.0670 |
| 0.1305 | 14.22 | 14220 | 0.0669 |
| 0.1399 | 14.23 | 14230 | 0.0670 |
| 0.1682 | 14.24 | 14240 | 0.0671 |
| 0.1143 | 14.25 | 14250 | 0.0670 |
| 0.0935 | 14.26 | 14260 | 0.0669 |
| 0.1032 | 14.27 | 14270 | 0.0668 |
| 0.1585 | 14.28 | 14280 | 0.0667 |
| 0.1342 | 14.29 | 14290 | 0.0667 |
| 0.1145 | 14.3 | 14300 | 0.0665 |
| 0.1574 | 14.31 | 14310 | 0.0664 |
| 0.1516 | 14.32 | 14320 | 0.0663 |
| 0.1492 | 14.33 | 14330 | 0.0663 |
| 0.1126 | 14.34 | 14340 | 0.0663 |
| 0.1084 | 14.35 | 14350 | 0.0663 |
| 0.1372 | 14.36 | 14360 | 0.0663 |
| 0.1479 | 14.37 | 14370 | 0.0662 |
| 0.111 | 14.38 | 14380 | 0.0663 |
| 0.1098 | 14.39 | 14390 | 0.0664 |
| 0.1803 | 14.4 | 14400 | 0.0665 |
| 0.161 | 14.41 | 14410 | 0.0665 |
| 0.1318 | 14.42 | 14420 | 0.0666 |
| 0.1728 | 14.43 | 14430 | 0.0666 |
| 0.1026 | 14.44 | 14440 | 0.0666 |
| 0.1062 | 14.45 | 14450 | 0.0665 |
| 0.1605 | 14.46 | 14460 | 0.0665 |
| 0.1153 | 14.47 | 14470 | 0.0667 |
| 0.1491 | 14.48 | 14480 | 0.0667 |
| 0.1702 | 14.49 | 14490 | 0.0666 |
| 0.1372 | 14.5 | 14500 | 0.0666 |
| 0.1517 | 14.51 | 14510 | 0.0665 |
| 0.1009 | 14.52 | 14520 | 0.0664 |
| 0.1384 | 14.53 | 14530 | 0.0664 |
| 0.0812 | 14.54 | 14540 | 0.0665 |
| 0.1405 | 14.55 | 14550 | 0.0665 |
| 0.1006 | 14.56 | 14560 | 0.0666 |
| 0.1215 | 14.57 | 14570 | 0.0665 |
| 0.1642 | 14.58 | 14580 | 0.0665 |
| 0.1275 | 14.59 | 14590 | 0.0665 |
| 0.1197 | 14.6 | 14600 | 0.0665 |
| 0.148 | 14.61 | 14610 | 0.0665 |
| 0.1127 | 14.62 | 14620 | 0.0666 |
| 0.0934 | 14.63 | 14630 | 0.0666 |
| 0.1453 | 14.64 | 14640 | 0.0667 |
| 0.1269 | 14.65 | 14650 | 0.0667 |
| 0.1501 | 14.66 | 14660 | 0.0667 |
| 0.1121 | 14.67 | 14670 | 0.0667 |
| 0.1112 | 14.68 | 14680 | 0.0666 |
| 0.1089 | 14.69 | 14690 | 0.0665 |
| 0.1169 | 14.7 | 14700 | 0.0665 |
| 0.1216 | 14.71 | 14710 | 0.0665 |
| 0.134 | 14.72 | 14720 | 0.0665 |
| 0.0875 | 14.73 | 14730 | 0.0665 |
| 0.1196 | 14.74 | 14740 | 0.0665 |
| 0.118 | 14.75 | 14750 | 0.0664 |
| 0.1044 | 14.76 | 14760 | 0.0664 |
| 0.0878 | 14.77 | 14770 | 0.0664 |
| 0.1422 | 14.78 | 14780 | 0.0663 |
| 0.1519 | 14.79 | 14790 | 0.0662 |
| 0.1263 | 14.8 | 14800 | 0.0662 |
| 0.0858 | 14.81 | 14810 | 0.0663 |
| 0.1215 | 14.82 | 14820 | 0.0664 |
| 0.1877 | 14.83 | 14830 | 0.0665 |
| 0.1656 | 14.84 | 14840 | 0.0666 |
| 0.1022 | 14.85 | 14850 | 0.0666 |
| 0.1478 | 14.86 | 14860 | 0.0667 |
| 0.1651 | 14.87 | 14870 | 0.0668 |
| 0.163 | 14.88 | 14880 | 0.0669 |
| 0.0913 | 14.89 | 14890 | 0.0670 |
| 0.1002 | 14.9 | 14900 | 0.0671 |
| 0.1255 | 14.91 | 14910 | 0.0671 |
| 0.1246 | 14.92 | 14920 | 0.0671 |
| 0.118 | 14.93 | 14930 | 0.0671 |
| 0.1068 | 14.94 | 14940 | 0.0671 |
| 0.1325 | 14.95 | 14950 | 0.0671 |
| 0.1164 | 14.96 | 14960 | 0.0671 |
| 0.1202 | 14.97 | 14970 | 0.0670 |
| 0.1139 | 14.98 | 14980 | 0.0671 |
| 0.1234 | 14.99 | 14990 | 0.0671 |
| 0.0874 | 15.0 | 15000 | 0.0672 |
| 0.0881 | 15.01 | 15010 | 0.0672 |
| 0.1028 | 15.02 | 15020 | 0.0672 |
| 0.1213 | 15.03 | 15030 | 0.0673 |
| 0.0887 | 15.04 | 15040 | 0.0672 |
| 0.1143 | 15.05 | 15050 | 0.0672 |
| 0.1755 | 15.06 | 15060 | 0.0672 |
| 0.11 | 15.07 | 15070 | 0.0672 |
| 0.1509 | 15.08 | 15080 | 0.0673 |
| 0.1111 | 15.09 | 15090 | 0.0674 |
| 0.129 | 15.1 | 15100 | 0.0674 |
| 0.1429 | 15.11 | 15110 | 0.0674 |
| 0.1164 | 15.12 | 15120 | 0.0674 |
| 0.1095 | 15.13 | 15130 | 0.0674 |
| 0.1083 | 15.14 | 15140 | 0.0674 |
| 0.1697 | 15.15 | 15150 | 0.0675 |
| 0.1123 | 15.16 | 15160 | 0.0676 |
| 0.1351 | 15.17 | 15170 | 0.0676 |
| 0.1246 | 15.18 | 15180 | 0.0676 |
| 0.1339 | 15.19 | 15190 | 0.0677 |
| 0.1753 | 15.2 | 15200 | 0.0679 |
| 0.1071 | 15.21 | 15210 | 0.0680 |
| 0.1145 | 15.22 | 15220 | 0.0682 |
| 0.1707 | 15.23 | 15230 | 0.0683 |
| 0.1358 | 15.24 | 15240 | 0.0683 |
| 0.1306 | 15.25 | 15250 | 0.0682 |
| 0.1291 | 15.26 | 15260 | 0.0681 |
| 0.0895 | 15.27 | 15270 | 0.0680 |
| 0.149 | 15.28 | 15280 | 0.0679 |
| 0.0662 | 15.29 | 15290 | 0.0679 |
| 0.162 | 15.3 | 15300 | 0.0679 |
| 0.0953 | 15.31 | 15310 | 0.0679 |
| 0.12 | 15.32 | 15320 | 0.0680 |
| 0.0858 | 15.33 | 15330 | 0.0680 |
| 0.1321 | 15.34 | 15340 | 0.0681 |
| 0.1988 | 15.35 | 15350 | 0.0682 |
| 0.1258 | 15.36 | 15360 | 0.0682 |
| 0.1262 | 15.37 | 15370 | 0.0681 |
| 0.134 | 15.38 | 15380 | 0.0679 |
| 0.1873 | 15.39 | 15390 | 0.0678 |
| 0.1302 | 15.4 | 15400 | 0.0677 |
| 0.103 | 15.41 | 15410 | 0.0677 |
| 0.1638 | 15.42 | 15420 | 0.0676 |
| 0.1407 | 15.43 | 15430 | 0.0676 |
| 0.1575 | 15.44 | 15440 | 0.0675 |
| 0.1308 | 15.45 | 15450 | 0.0676 |
| 0.0824 | 15.46 | 15460 | 0.0676 |
| 0.0911 | 15.47 | 15470 | 0.0676 |
| 0.1256 | 15.48 | 15480 | 0.0676 |
| 0.1219 | 15.49 | 15490 | 0.0676 |
| 0.1313 | 15.5 | 15500 | 0.0676 |
| 0.1056 | 15.51 | 15510 | 0.0676 |
| 0.1176 | 15.52 | 15520 | 0.0676 |
| 0.0867 | 15.53 | 15530 | 0.0676 |
| 0.1419 | 15.54 | 15540 | 0.0676 |
| 0.1312 | 15.55 | 15550 | 0.0676 |
| 0.1618 | 15.56 | 15560 | 0.0677 |
| 0.1562 | 15.57 | 15570 | 0.0678 |
| 0.1319 | 15.58 | 15580 | 0.0679 |
| 0.1625 | 15.59 | 15590 | 0.0680 |
| 0.1143 | 15.6 | 15600 | 0.0679 |
| 0.142 | 15.61 | 15610 | 0.0679 |
| 0.1458 | 15.62 | 15620 | 0.0679 |
| 0.1702 | 15.63 | 15630 | 0.0679 |
| 0.1282 | 15.64 | 15640 | 0.0679 |
| 0.1031 | 15.65 | 15650 | 0.0679 |
| 0.1013 | 15.66 | 15660 | 0.0679 |
| 0.1093 | 15.67 | 15670 | 0.0679 |
| 0.1258 | 15.68 | 15680 | 0.0679 |
| 0.0772 | 15.69 | 15690 | 0.0678 |
| 0.0824 | 15.7 | 15700 | 0.0677 |
| 0.1307 | 15.71 | 15710 | 0.0677 |
| 0.0898 | 15.72 | 15720 | 0.0677 |
| 0.1253 | 15.73 | 15730 | 0.0678 |
| 0.1511 | 15.74 | 15740 | 0.0678 |
| 0.1442 | 15.75 | 15750 | 0.0677 |
| 0.1784 | 15.76 | 15760 | 0.0677 |
| 0.0995 | 15.77 | 15770 | 0.0676 |
| 0.0988 | 15.78 | 15780 | 0.0675 |
| 0.1645 | 15.79 | 15790 | 0.0674 |
| 0.1588 | 15.8 | 15800 | 0.0674 |
| 0.1677 | 15.81 | 15810 | 0.0673 |
| 0.1472 | 15.82 | 15820 | 0.0673 |
| 0.1514 | 15.83 | 15830 | 0.0674 |
| 0.1079 | 15.84 | 15840 | 0.0676 |
| 0.1244 | 15.85 | 15850 | 0.0676 |
| 0.107 | 15.86 | 15860 | 0.0676 |
| 0.0886 | 15.87 | 15870 | 0.0676 |
| 0.1113 | 15.88 | 15880 | 0.0676 |
| 0.1499 | 15.89 | 15890 | 0.0676 |
| 0.128 | 15.9 | 15900 | 0.0677 |
| 0.1704 | 15.91 | 15910 | 0.0677 |
| 0.1385 | 15.92 | 15920 | 0.0676 |
| 0.1044 | 15.93 | 15930 | 0.0676 |
| 0.183 | 15.94 | 15940 | 0.0676 |
| 0.133 | 15.95 | 15950 | 0.0676 |
| 0.1186 | 15.96 | 15960 | 0.0676 |
| 0.112 | 15.97 | 15970 | 0.0675 |
| 0.1365 | 15.98 | 15980 | 0.0675 |
| 0.1066 | 15.99 | 15990 | 0.0674 |
| 0.1408 | 16.0 | 16000 | 0.0674 |
| 0.169 | 16.01 | 16010 | 0.0674 |
| 0.1469 | 16.02 | 16020 | 0.0674 |
| 0.1847 | 16.03 | 16030 | 0.0675 |
| 0.1483 | 16.04 | 16040 | 0.0675 |
| 0.1059 | 16.05 | 16050 | 0.0675 |
| 0.1334 | 16.06 | 16060 | 0.0675 |
| 0.1191 | 16.07 | 16070 | 0.0675 |
| 0.1206 | 16.08 | 16080 | 0.0675 |
| 0.1371 | 16.09 | 16090 | 0.0675 |
| 0.1313 | 16.1 | 16100 | 0.0676 |
| 0.1131 | 16.11 | 16110 | 0.0676 |
| 0.1578 | 16.12 | 16120 | 0.0676 |
| 0.0963 | 16.13 | 16130 | 0.0676 |
| 0.2233 | 16.14 | 16140 | 0.0675 |
| 0.1579 | 16.15 | 16150 | 0.0675 |
| 0.1269 | 16.16 | 16160 | 0.0675 |
| 0.1296 | 16.17 | 16170 | 0.0675 |
| 0.1473 | 16.18 | 16180 | 0.0676 |
| 0.1081 | 16.19 | 16190 | 0.0676 |
| 0.1054 | 16.2 | 16200 | 0.0677 |
| 0.1052 | 16.21 | 16210 | 0.0677 |
| 0.1317 | 16.22 | 16220 | 0.0677 |
| 0.1284 | 16.23 | 16230 | 0.0677 |
| 0.1332 | 16.24 | 16240 | 0.0677 |
| 0.1071 | 16.25 | 16250 | 0.0677 |
| 0.1343 | 16.26 | 16260 | 0.0677 |
| 0.1501 | 16.27 | 16270 | 0.0677 |
| 0.1277 | 16.28 | 16280 | 0.0677 |
| 0.0923 | 16.29 | 16290 | 0.0678 |
| 0.1248 | 16.3 | 16300 | 0.0678 |
| 0.1534 | 16.31 | 16310 | 0.0678 |
| 0.0914 | 16.32 | 16320 | 0.0678 |
| 0.2013 | 16.33 | 16330 | 0.0679 |
| 0.1221 | 16.34 | 16340 | 0.0679 |
| 0.1002 | 16.35 | 16350 | 0.0679 |
| 0.1697 | 16.36 | 16360 | 0.0678 |
| 0.2087 | 16.37 | 16370 | 0.0677 |
| 0.1306 | 16.38 | 16380 | 0.0677 |
| 0.1411 | 16.39 | 16390 | 0.0677 |
| 0.1174 | 16.4 | 16400 | 0.0677 |
| 0.1129 | 16.41 | 16410 | 0.0677 |
| 0.1288 | 16.42 | 16420 | 0.0677 |
| 0.1741 | 16.43 | 16430 | 0.0677 |
| 0.106 | 16.44 | 16440 | 0.0678 |
| 0.1714 | 16.45 | 16450 | 0.0678 |
| 0.1097 | 16.46 | 16460 | 0.0678 |
| 0.1027 | 16.47 | 16470 | 0.0679 |
| 0.146 | 16.48 | 16480 | 0.0679 |
| 0.123 | 16.49 | 16490 | 0.0679 |
| 0.1437 | 16.5 | 16500 | 0.0679 |
| 0.1062 | 16.51 | 16510 | 0.0680 |
| 0.1634 | 16.52 | 16520 | 0.0679 |
| 0.0851 | 16.53 | 16530 | 0.0679 |
| 0.0735 | 16.54 | 16540 | 0.0679 |
| 0.1056 | 16.55 | 16550 | 0.0679 |
| 0.1538 | 16.56 | 16560 | 0.0680 |
| 0.1675 | 16.57 | 16570 | 0.0679 |
| 0.123 | 16.58 | 16580 | 0.0680 |
| 0.1112 | 16.59 | 16590 | 0.0680 |
| 0.1596 | 16.6 | 16600 | 0.0680 |
| 0.1279 | 16.61 | 16610 | 0.0680 |
| 0.1091 | 16.62 | 16620 | 0.0680 |
| 0.0994 | 16.63 | 16630 | 0.0680 |
| 0.1385 | 16.64 | 16640 | 0.0680 |
| 0.0764 | 16.65 | 16650 | 0.0680 |
| 0.1032 | 16.66 | 16660 | 0.0680 |
| 0.1808 | 16.67 | 16670 | 0.0679 |
| 0.1235 | 16.68 | 16680 | 0.0680 |
| 0.1034 | 16.69 | 16690 | 0.0679 |
| 0.1096 | 16.7 | 16700 | 0.0680 |
| 0.1252 | 16.71 | 16710 | 0.0680 |
| 0.0921 | 16.72 | 16720 | 0.0680 |
| 0.1656 | 16.73 | 16730 | 0.0679 |
| 0.0974 | 16.74 | 16740 | 0.0679 |
| 0.1252 | 16.75 | 16750 | 0.0679 |
| 0.1263 | 16.76 | 16760 | 0.0679 |
| 0.1502 | 16.77 | 16770 | 0.0679 |
| 0.1424 | 16.78 | 16780 | 0.0679 |
| 0.11 | 16.79 | 16790 | 0.0680 |
| 0.1081 | 16.8 | 16800 | 0.0680 |
| 0.1256 | 16.81 | 16810 | 0.0680 |
| 0.0993 | 16.82 | 16820 | 0.0680 |
| 0.1148 | 16.83 | 16830 | 0.0681 |
| 0.1431 | 16.84 | 16840 | 0.0681 |
| 0.1085 | 16.85 | 16850 | 0.0680 |
| 0.1077 | 16.86 | 16860 | 0.0679 |
| 0.1247 | 16.87 | 16870 | 0.0679 |
| 0.087 | 16.88 | 16880 | 0.0678 |
| 0.1145 | 16.89 | 16890 | 0.0678 |
| 0.1615 | 16.9 | 16900 | 0.0678 |
| 0.1338 | 16.91 | 16910 | 0.0677 |
| 0.116 | 16.92 | 16920 | 0.0677 |
| 0.125 | 16.93 | 16930 | 0.0677 |
| 0.0954 | 16.94 | 16940 | 0.0677 |
| 0.1586 | 16.95 | 16950 | 0.0677 |
| 0.1027 | 16.96 | 16960 | 0.0677 |
| 0.097 | 16.97 | 16970 | 0.0678 |
| 0.1298 | 16.98 | 16980 | 0.0678 |
| 0.1255 | 16.99 | 16990 | 0.0678 |
| 0.0878 | 17.0 | 17000 | 0.0678 |
| 0.1538 | 17.01 | 17010 | 0.0679 |
| 0.1039 | 17.02 | 17020 | 0.0679 |
| 0.1264 | 17.03 | 17030 | 0.0679 |
| 0.1695 | 17.04 | 17040 | 0.0679 |
| 0.0961 | 17.05 | 17050 | 0.0679 |
| 0.1451 | 17.06 | 17060 | 0.0679 |
| 0.1206 | 17.07 | 17070 | 0.0679 |
| 0.1072 | 17.08 | 17080 | 0.0679 |
| 0.0849 | 17.09 | 17090 | 0.0679 |
| 0.1567 | 17.1 | 17100 | 0.0679 |
| 0.1017 | 17.11 | 17110 | 0.0679 |
| 0.1369 | 17.12 | 17120 | 0.0679 |
| 0.1033 | 17.13 | 17130 | 0.0679 |
| 0.1308 | 17.14 | 17140 | 0.0679 |
| 0.1366 | 17.15 | 17150 | 0.0679 |
| 0.1151 | 17.16 | 17160 | 0.0679 |
| 0.1282 | 17.17 | 17170 | 0.0679 |
| 0.1321 | 17.18 | 17180 | 0.0679 |
| 0.1374 | 17.19 | 17190 | 0.0679 |
| 0.1526 | 17.2 | 17200 | 0.0679 |
| 0.1288 | 17.21 | 17210 | 0.0680 |
| 0.1322 | 17.22 | 17220 | 0.0680 |
| 0.0959 | 17.23 | 17230 | 0.0680 |
| 0.1165 | 17.24 | 17240 | 0.0680 |
| 0.1482 | 17.25 | 17250 | 0.0680 |
| 0.1022 | 17.26 | 17260 | 0.0679 |
| 0.119 | 17.27 | 17270 | 0.0679 |
| 0.0637 | 17.28 | 17280 | 0.0679 |
| 0.0862 | 17.29 | 17290 | 0.0679 |
| 0.1719 | 17.3 | 17300 | 0.0679 |
| 0.1184 | 17.31 | 17310 | 0.0679 |
| 0.1071 | 17.32 | 17320 | 0.0679 |
| 0.0975 | 17.33 | 17330 | 0.0679 |
| 0.1764 | 17.34 | 17340 | 0.0680 |
| 0.1265 | 17.35 | 17350 | 0.0680 |
| 0.0872 | 17.36 | 17360 | 0.0681 |
| 0.0905 | 17.37 | 17370 | 0.0681 |
| 0.1804 | 17.38 | 17380 | 0.0682 |
| 0.1631 | 17.39 | 17390 | 0.0682 |
| 0.1525 | 17.4 | 17400 | 0.0683 |
| 0.2399 | 17.41 | 17410 | 0.0683 |
| 0.173 | 17.42 | 17420 | 0.0682 |
| 0.1068 | 17.43 | 17430 | 0.0682 |
| 0.1128 | 17.44 | 17440 | 0.0682 |
| 0.1486 | 17.45 | 17450 | 0.0682 |
| 0.1218 | 17.46 | 17460 | 0.0682 |
| 0.1763 | 17.47 | 17470 | 0.0683 |
| 0.2045 | 17.48 | 17480 | 0.0683 |
| 0.0808 | 17.49 | 17490 | 0.0683 |
| 0.0647 | 17.5 | 17500 | 0.0683 |
| 0.1647 | 17.51 | 17510 | 0.0683 |
| 0.1576 | 17.52 | 17520 | 0.0683 |
| 0.1091 | 17.53 | 17530 | 0.0683 |
| 0.1157 | 17.54 | 17540 | 0.0682 |
| 0.1159 | 17.55 | 17550 | 0.0682 |
| 0.1928 | 17.56 | 17560 | 0.0682 |
| 0.132 | 17.57 | 17570 | 0.0682 |
| 0.1011 | 17.58 | 17580 | 0.0682 |
| 0.1373 | 17.59 | 17590 | 0.0682 |
| 0.1239 | 17.6 | 17600 | 0.0682 |
| 0.1264 | 17.61 | 17610 | 0.0681 |
| 0.075 | 17.62 | 17620 | 0.0681 |
| 0.127 | 17.63 | 17630 | 0.0680 |
| 0.1296 | 17.64 | 17640 | 0.0680 |
| 0.0834 | 17.65 | 17650 | 0.0680 |
| 0.1357 | 17.66 | 17660 | 0.0681 |
| 0.1118 | 17.67 | 17670 | 0.0681 |
| 0.1179 | 17.68 | 17680 | 0.0681 |
| 0.1222 | 17.69 | 17690 | 0.0681 |
| 0.1234 | 17.7 | 17700 | 0.0682 |
| 0.0625 | 17.71 | 17710 | 0.0681 |
| 0.0986 | 17.72 | 17720 | 0.0681 |
| 0.2145 | 17.73 | 17730 | 0.0681 |
| 0.1318 | 17.74 | 17740 | 0.0680 |
| 0.1073 | 17.75 | 17750 | 0.0680 |
| 0.145 | 17.76 | 17760 | 0.0680 |
| 0.1493 | 17.77 | 17770 | 0.0679 |
| 0.0863 | 17.78 | 17780 | 0.0679 |
| 0.1664 | 17.79 | 17790 | 0.0679 |
| 0.1424 | 17.8 | 17800 | 0.0679 |
| 0.1012 | 17.81 | 17810 | 0.0679 |
| 0.1332 | 17.82 | 17820 | 0.0678 |
| 0.1487 | 17.83 | 17830 | 0.0678 |
| 0.1096 | 17.84 | 17840 | 0.0679 |
| 0.1239 | 17.85 | 17850 | 0.0679 |
| 0.1455 | 17.86 | 17860 | 0.0679 |
| 0.0981 | 17.87 | 17870 | 0.0680 |
| 0.1229 | 17.88 | 17880 | 0.0680 |
| 0.1192 | 17.89 | 17890 | 0.0679 |
| 0.1313 | 17.9 | 17900 | 0.0679 |
| 0.104 | 17.91 | 17910 | 0.0679 |
| 0.1355 | 17.92 | 17920 | 0.0678 |
| 0.0957 | 17.93 | 17930 | 0.0678 |
| 0.171 | 17.94 | 17940 | 0.0678 |
| 0.1029 | 17.95 | 17950 | 0.0678 |
| 0.1273 | 17.96 | 17960 | 0.0678 |
| 0.1102 | 17.97 | 17970 | 0.0678 |
| 0.1794 | 17.98 | 17980 | 0.0678 |
| 0.1301 | 17.99 | 17990 | 0.0678 |
| 0.1305 | 18.0 | 18000 | 0.0678 |
| 0.1745 | 18.01 | 18010 | 0.0678 |
| 0.1337 | 18.02 | 18020 | 0.0678 |
| 0.1219 | 18.03 | 18030 | 0.0678 |
| 0.1326 | 18.04 | 18040 | 0.0678 |
| 0.0912 | 18.05 | 18050 | 0.0678 |
| 0.115 | 18.06 | 18060 | 0.0679 |
| 0.1402 | 18.07 | 18070 | 0.0679 |
| 0.0903 | 18.08 | 18080 | 0.0679 |
| 0.1204 | 18.09 | 18090 | 0.0679 |
| 0.1296 | 18.1 | 18100 | 0.0679 |
| 0.1176 | 18.11 | 18110 | 0.0678 |
| 0.0926 | 18.12 | 18120 | 0.0678 |
| 0.1387 | 18.13 | 18130 | 0.0678 |
| 0.1098 | 18.14 | 18140 | 0.0677 |
| 0.1264 | 18.15 | 18150 | 0.0677 |
| 0.0864 | 18.16 | 18160 | 0.0677 |
| 0.2153 | 18.17 | 18170 | 0.0677 |
| 0.0984 | 18.18 | 18180 | 0.0678 |
| 0.1249 | 18.19 | 18190 | 0.0678 |
| 0.1411 | 18.2 | 18200 | 0.0678 |
| 0.1237 | 18.21 | 18210 | 0.0678 |
| 0.1076 | 18.22 | 18220 | 0.0678 |
| 0.1547 | 18.23 | 18230 | 0.0678 |
| 0.1031 | 18.24 | 18240 | 0.0679 |
| 0.1305 | 18.25 | 18250 | 0.0678 |
| 0.1385 | 18.26 | 18260 | 0.0678 |
| 0.1488 | 18.27 | 18270 | 0.0678 |
| 0.124 | 18.28 | 18280 | 0.0678 |
| 0.1043 | 18.29 | 18290 | 0.0678 |
| 0.1105 | 18.3 | 18300 | 0.0679 |
| 0.1424 | 18.31 | 18310 | 0.0679 |
| 0.109 | 18.32 | 18320 | 0.0679 |
| 0.0968 | 18.33 | 18330 | 0.0679 |
| 0.1356 | 18.34 | 18340 | 0.0679 |
| 0.1464 | 18.35 | 18350 | 0.0678 |
| 0.117 | 18.36 | 18360 | 0.0679 |
| 0.0959 | 18.37 | 18370 | 0.0679 |
| 0.162 | 18.38 | 18380 | 0.0678 |
| 0.1577 | 18.39 | 18390 | 0.0679 |
| 0.115 | 18.4 | 18400 | 0.0679 |
| 0.0833 | 18.41 | 18410 | 0.0679 |
| 0.1108 | 18.42 | 18420 | 0.0679 |
| 0.1653 | 18.43 | 18430 | 0.0679 |
| 0.1894 | 18.44 | 18440 | 0.0679 |
| 0.1565 | 18.45 | 18450 | 0.0679 |
| 0.1001 | 18.46 | 18460 | 0.0679 |
| 0.1084 | 18.47 | 18470 | 0.0679 |
| 0.164 | 18.48 | 18480 | 0.0679 |
| 0.1232 | 18.49 | 18490 | 0.0679 |
| 0.0927 | 18.5 | 18500 | 0.0679 |
| 0.1665 | 18.51 | 18510 | 0.0679 |
| 0.1389 | 18.52 | 18520 | 0.0679 |
| 0.121 | 18.53 | 18530 | 0.0679 |
| 0.1347 | 18.54 | 18540 | 0.0679 |
| 0.1238 | 18.55 | 18550 | 0.0679 |
| 0.0981 | 18.56 | 18560 | 0.0679 |
| 0.1181 | 18.57 | 18570 | 0.0678 |
| 0.1339 | 18.58 | 18580 | 0.0678 |
| 0.13 | 18.59 | 18590 | 0.0678 |
| 0.1145 | 18.6 | 18600 | 0.0678 |
| 0.1181 | 18.61 | 18610 | 0.0678 |
| 0.189 | 18.62 | 18620 | 0.0679 |
| 0.1237 | 18.63 | 18630 | 0.0679 |
| 0.1588 | 18.64 | 18640 | 0.0679 |
| 0.1375 | 18.65 | 18650 | 0.0679 |
| 0.1067 | 18.66 | 18660 | 0.0679 |
| 0.1511 | 18.67 | 18670 | 0.0679 |
| 0.1255 | 18.68 | 18680 | 0.0679 |
| 0.1328 | 18.69 | 18690 | 0.0679 |
| 0.1626 | 18.7 | 18700 | 0.0679 |
| 0.0661 | 18.71 | 18710 | 0.0679 |
| 0.0785 | 18.72 | 18720 | 0.0679 |
| 0.1707 | 18.73 | 18730 | 0.0679 |
| 0.1522 | 18.74 | 18740 | 0.0679 |
| 0.1449 | 18.75 | 18750 | 0.0679 |
| 0.083 | 18.76 | 18760 | 0.0679 |
| 0.0882 | 18.77 | 18770 | 0.0679 |
| 0.1285 | 18.78 | 18780 | 0.0679 |
| 0.0934 | 18.79 | 18790 | 0.0678 |
| 0.1788 | 18.8 | 18800 | 0.0678 |
| 0.0998 | 18.81 | 18810 | 0.0678 |
| 0.1165 | 18.82 | 18820 | 0.0678 |
| 0.1367 | 18.83 | 18830 | 0.0678 |
| 0.1192 | 18.84 | 18840 | 0.0679 |
| 0.14 | 18.85 | 18850 | 0.0679 |
| 0.1594 | 18.86 | 18860 | 0.0678 |
| 0.1493 | 18.87 | 18870 | 0.0678 |
| 0.1266 | 18.88 | 18880 | 0.0679 |
| 0.0926 | 18.89 | 18890 | 0.0678 |
| 0.1058 | 18.9 | 18900 | 0.0679 |
| 0.0981 | 18.91 | 18910 | 0.0679 |
| 0.0955 | 18.92 | 18920 | 0.0679 |
| 0.1762 | 18.93 | 18930 | 0.0679 |
| 0.1086 | 18.94 | 18940 | 0.0678 |
| 0.1509 | 18.95 | 18950 | 0.0678 |
| 0.1192 | 18.96 | 18960 | 0.0678 |
| 0.1253 | 18.97 | 18970 | 0.0678 |
| 0.1322 | 18.98 | 18980 | 0.0678 |
| 0.112 | 18.99 | 18990 | 0.0679 |
| 0.1392 | 19.0 | 19000 | 0.0679 |
| 0.1317 | 19.01 | 19010 | 0.0679 |
| 0.1201 | 19.02 | 19020 | 0.0679 |
| 0.1217 | 19.03 | 19030 | 0.0679 |
| 0.1015 | 19.04 | 19040 | 0.0679 |
| 0.0911 | 19.05 | 19050 | 0.0679 |
| 0.1095 | 19.06 | 19060 | 0.0679 |
| 0.1423 | 19.07 | 19070 | 0.0679 |
| 0.144 | 19.08 | 19080 | 0.0679 |
| 0.1376 | 19.09 | 19090 | 0.0679 |
| 0.0957 | 19.1 | 19100 | 0.0679 |
| 0.1214 | 19.11 | 19110 | 0.0679 |
| 0.1052 | 19.12 | 19120 | 0.0679 |
| 0.1113 | 19.13 | 19130 | 0.0679 |
| 0.1393 | 19.14 | 19140 | 0.0679 |
| 0.1622 | 19.15 | 19150 | 0.0679 |
| 0.1259 | 19.16 | 19160 | 0.0679 |
| 0.0982 | 19.17 | 19170 | 0.0679 |
| 0.1379 | 19.18 | 19180 | 0.0679 |
| 0.1301 | 19.19 | 19190 | 0.0679 |
| 0.1403 | 19.2 | 19200 | 0.0679 |
| 0.163 | 19.21 | 19210 | 0.0679 |
| 0.1091 | 19.22 | 19220 | 0.0679 |
| 0.1102 | 19.23 | 19230 | 0.0679 |
| 0.1017 | 19.24 | 19240 | 0.0679 |
| 0.0861 | 19.25 | 19250 | 0.0679 |
| 0.154 | 19.26 | 19260 | 0.0679 |
| 0.1095 | 19.27 | 19270 | 0.0679 |
| 0.1119 | 19.28 | 19280 | 0.0679 |
| 0.1117 | 19.29 | 19290 | 0.0679 |
| 0.1372 | 19.3 | 19300 | 0.0679 |
| 0.0972 | 19.31 | 19310 | 0.0679 |
| 0.1029 | 19.32 | 19320 | 0.0679 |
| 0.1148 | 19.33 | 19330 | 0.0679 |
| 0.1427 | 19.34 | 19340 | 0.0679 |
| 0.0774 | 19.35 | 19350 | 0.0679 |
| 0.0988 | 19.36 | 19360 | 0.0679 |
| 0.1259 | 19.37 | 19370 | 0.0679 |
| 0.1383 | 19.38 | 19380 | 0.0679 |
| 0.1604 | 19.39 | 19390 | 0.0679 |
| 0.1802 | 19.4 | 19400 | 0.0679 |
| 0.0756 | 19.41 | 19410 | 0.0680 |
| 0.1623 | 19.42 | 19420 | 0.0680 |
| 0.2077 | 19.43 | 19430 | 0.0680 |
| 0.1435 | 19.44 | 19440 | 0.0680 |
| 0.1506 | 19.45 | 19450 | 0.0680 |
| 0.101 | 19.46 | 19460 | 0.0680 |
| 0.1593 | 19.47 | 19470 | 0.0680 |
| 0.076 | 19.48 | 19480 | 0.0680 |
| 0.1329 | 19.49 | 19490 | 0.0680 |
| 0.1212 | 19.5 | 19500 | 0.0680 |
| 0.1458 | 19.51 | 19510 | 0.0680 |
| 0.1582 | 19.52 | 19520 | 0.0680 |
| 0.1203 | 19.53 | 19530 | 0.0680 |
| 0.1434 | 19.54 | 19540 | 0.0680 |
| 0.1366 | 19.55 | 19550 | 0.0680 |
| 0.1633 | 19.56 | 19560 | 0.0680 |
| 0.1484 | 19.57 | 19570 | 0.0680 |
| 0.1363 | 19.58 | 19580 | 0.0680 |
| 0.1428 | 19.59 | 19590 | 0.0680 |
| 0.1465 | 19.6 | 19600 | 0.0680 |
| 0.0957 | 19.61 | 19610 | 0.0680 |
| 0.1345 | 19.62 | 19620 | 0.0680 |
| 0.1382 | 19.63 | 19630 | 0.0680 |
| 0.1468 | 19.64 | 19640 | 0.0680 |
| 0.1237 | 19.65 | 19650 | 0.0680 |
| 0.1178 | 19.66 | 19660 | 0.0680 |
| 0.0848 | 19.67 | 19670 | 0.0680 |
| 0.1159 | 19.68 | 19680 | 0.0680 |
| 0.1639 | 19.69 | 19690 | 0.0680 |
| 0.1084 | 19.7 | 19700 | 0.0680 |
| 0.0811 | 19.71 | 19710 | 0.0680 |
| 0.0745 | 19.72 | 19720 | 0.0680 |
| 0.1026 | 19.73 | 19730 | 0.0680 |
| 0.0895 | 19.74 | 19740 | 0.0680 |
| 0.1719 | 19.75 | 19750 | 0.0680 |
| 0.1247 | 19.76 | 19760 | 0.0680 |
| 0.1174 | 19.77 | 19770 | 0.0680 |
| 0.1476 | 19.78 | 19780 | 0.0680 |
| 0.1718 | 19.79 | 19790 | 0.0680 |
| 0.104 | 19.8 | 19800 | 0.0680 |
| 0.166 | 19.81 | 19810 | 0.0680 |
| 0.1547 | 19.82 | 19820 | 0.0680 |
| 0.18 | 19.83 | 19830 | 0.0680 |
| 0.1405 | 19.84 | 19840 | 0.0680 |
| 0.1047 | 19.85 | 19850 | 0.0680 |
| 0.1585 | 19.86 | 19860 | 0.0680 |
| 0.1295 | 19.87 | 19870 | 0.0680 |
| 0.1498 | 19.88 | 19880 | 0.0680 |
| 0.0994 | 19.89 | 19890 | 0.0680 |
| 0.1122 | 19.9 | 19900 | 0.0680 |
| 0.0903 | 19.91 | 19910 | 0.0680 |
| 0.0906 | 19.92 | 19920 | 0.0680 |
| 0.1394 | 19.93 | 19930 | 0.0680 |
| 0.0912 | 19.94 | 19940 | 0.0680 |
| 0.1074 | 19.95 | 19950 | 0.0680 |
| 0.1219 | 19.96 | 19960 | 0.0680 |
| 0.1278 | 19.97 | 19970 | 0.0680 |
| 0.1234 | 19.98 | 19980 | 0.0680 |
| 0.1645 | 19.99 | 19990 | 0.0680 |
| 0.19 | 20.0 | 20000 | 0.0680 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
| 105,231 | [
[
-0.043609619140625,
-0.033294677734375,
0.02227783203125,
0.00806427001953125,
0.00189208984375,
0.0023593902587890625,
0.006618499755859375,
0.00160980224609375,
0.051239013671875,
0.02838134765625,
-0.0391845703125,
-0.04376220703125,
-0.045745849609375,
-0.007602691650390625,
0.00229644775390625,
0.03997802734375,
0.005126953125,
-0.0200653076171875,
-0.0008115768432617188,
-0.019287109375,
-0.0174560546875,
0.01541900634765625,
-0.050201416015625,
0.0038547515869140625,
0.012542724609375,
0.0380859375,
0.061004638671875,
0.05474853515625,
0.0307464599609375,
0.029205322265625,
-0.00501251220703125,
0.01004791259765625,
-0.0177459716796875,
-0.049072265625,
0.007236480712890625,
-0.032012939453125,
-0.0177459716796875,
-0.003875732421875,
0.036346435546875,
0.05010986328125,
-0.00750732421875,
0.02923583984375,
-0.000881195068359375,
0.0758056640625,
-0.03204345703125,
0.01812744140625,
-0.0175018310546875,
-0.006412506103515625,
-0.0171356201171875,
-0.026397705078125,
0.0163421630859375,
-0.0596923828125,
0.0063934326171875,
-0.0372314453125,
0.0244903564453125,
0.0033588409423828125,
0.10302734375,
0.020050048828125,
-0.0257568359375,
-0.0041656494140625,
-0.0175018310546875,
0.04107666015625,
-0.044281005859375,
0.02252197265625,
0.0421142578125,
0.008636474609375,
-0.01468658447265625,
-0.04730224609375,
-0.049560546875,
0.018402099609375,
-0.03228759765625,
0.0173187255859375,
-0.0148773193359375,
-0.0350341796875,
0.025482177734375,
0.04437255859375,
-0.046356201171875,
-0.032379150390625,
-0.050079345703125,
-0.005054473876953125,
0.047821044921875,
0.01971435546875,
0.026092529296875,
-0.0523681640625,
-0.058990478515625,
-0.014404296875,
-0.0252227783203125,
0.060821533203125,
0.029510498046875,
0.0085296630859375,
-0.0253143310546875,
0.037017822265625,
-0.008544921875,
0.0279693603515625,
0.0110321044921875,
-0.01454925537109375,
0.059234619140625,
-0.04534912109375,
-0.025909423828125,
-0.01358795166015625,
0.055084228515625,
0.052703857421875,
-0.0201568603515625,
0.017181396484375,
-0.00031375885009765625,
0.004505157470703125,
0.0048065185546875,
-0.0423583984375,
-0.02740478515625,
0.0447998046875,
-0.0260162353515625,
-0.00994873046875,
0.0164947509765625,
-0.06268310546875,
0.004207611083984375,
-0.01525115966796875,
0.0172576904296875,
-0.0110015869140625,
-0.034027099609375,
0.001476287841796875,
-0.0152740478515625,
0.0168304443359375,
0.02239990234375,
-0.06195068359375,
0.0262298583984375,
0.0164947509765625,
0.06561279296875,
0.0006809234619140625,
-0.0057220458984375,
0.00600433349609375,
0.03729248046875,
-0.041290283203125,
0.047760009765625,
-0.00390625,
-0.0278167724609375,
-0.0209197998046875,
0.027496337890625,
-0.022186279296875,
-0.021484375,
0.0404052734375,
-0.01241302490234375,
0.01245880126953125,
-0.03466796875,
-0.00885009765625,
-0.010223388671875,
0.0218505859375,
-0.055267333984375,
0.09417724609375,
0.029571533203125,
-0.07568359375,
0.0306549072265625,
-0.0380859375,
-0.00021922588348388672,
-0.00955963134765625,
0.00848388671875,
-0.0626220703125,
-0.0213165283203125,
0.0244903564453125,
0.01395416259765625,
-0.0284881591796875,
0.0186004638671875,
0.00870513916015625,
-0.004177093505859375,
-0.03424072265625,
-0.01131439208984375,
0.10052490234375,
0.0260467529296875,
-0.03289794921875,
0.004192352294921875,
-0.07666015625,
0.0094146728515625,
0.01678466796875,
-0.046234130859375,
-0.006961822509765625,
-0.0214996337890625,
0.0024433135986328125,
0.003856658935546875,
0.0286407470703125,
-0.040283203125,
0.0137481689453125,
-0.026336669921875,
0.033477783203125,
0.03936767578125,
0.01177215576171875,
0.0338134765625,
-0.05218505859375,
0.0216217041015625,
0.032806396484375,
0.0261383056640625,
0.00878143310546875,
-0.023834228515625,
-0.053802490234375,
-0.0380859375,
-0.00583648681640625,
0.04302978515625,
-0.0246734619140625,
0.034698486328125,
-0.01363372802734375,
-0.042938232421875,
-0.034576416015625,
-0.005115509033203125,
0.003742218017578125,
0.053985595703125,
0.020721435546875,
-0.005420684814453125,
-0.03778076171875,
-0.0650634765625,
0.004985809326171875,
0.01152801513671875,
0.0235443115234375,
0.044464111328125,
0.07122802734375,
-0.020599365234375,
0.08819580078125,
-0.0472412109375,
-0.055633544921875,
0.00274658203125,
-0.0181427001953125,
0.059539794921875,
0.035491943359375,
0.06939697265625,
-0.049835205078125,
-0.06982421875,
0.0034809112548828125,
-0.041717529296875,
0.0143585205078125,
-0.01202392578125,
0.00414276123046875,
0.004138946533203125,
0.008544921875,
-0.041412353515625,
0.06365966796875,
0.0433349609375,
-0.037109375,
0.0489501953125,
-0.03887939453125,
0.040863037109375,
-0.07940673828125,
0.0184783935546875,
-0.004840850830078125,
-0.005767822265625,
-0.009368896484375,
-0.0166473388671875,
0.0006117820739746094,
-0.0106353759765625,
-0.01470947265625,
0.041229248046875,
-0.049468994140625,
-0.0038242340087890625,
0.01407623291015625,
0.002292633056640625,
0.0005979537963867188,
0.040679931640625,
-0.009002685546875,
0.0767822265625,
0.05914306640625,
-0.039947509765625,
0.0196380615234375,
0.00865936279296875,
-0.035400390625,
0.041229248046875,
-0.037353515625,
-0.0081024169921875,
-0.0173797607421875,
0.01010894775390625,
-0.0999755859375,
-0.027313232421875,
0.0234832763671875,
-0.03216552734375,
0.0017271041870117188,
-0.00037169456481933594,
-0.0032787322998046875,
-0.07354736328125,
-0.05029296875,
-0.0103302001953125,
0.00435638427734375,
-0.02801513671875,
0.03875732421875,
0.0301361083984375,
0.00467681884765625,
-0.042755126953125,
-0.049652099609375,
-0.0035610198974609375,
-0.0024852752685546875,
-0.0548095703125,
0.01025390625,
-0.006977081298828125,
-0.012908935546875,
0.0079193115234375,
0.00800323486328125,
-0.0209197998046875,
0.01134490966796875,
0.025054931640625,
-0.005748748779296875,
-0.0193328857421875,
-0.026519775390625,
-0.01360321044921875,
-0.0264739990234375,
-0.01020050048828125,
0.0018415451049804688,
0.03143310546875,
-0.0168914794921875,
-0.033172607421875,
-0.041534423828125,
0.00467681884765625,
0.044281005859375,
-0.03375244140625,
0.083251953125,
0.026641845703125,
-0.02410888671875,
0.0102691650390625,
-0.029022216796875,
0.005462646484375,
-0.029510498046875,
0.0006961822509765625,
-0.045501708984375,
-0.050811767578125,
0.050506591796875,
-0.0174713134765625,
0.0168304443359375,
0.050384521484375,
0.031768798828125,
-0.0123138427734375,
0.047637939453125,
0.011444091796875,
-0.0010890960693359375,
0.01424407958984375,
-0.0655517578125,
0.01263427734375,
-0.04534912109375,
-0.03887939453125,
-0.05078125,
-0.03045654296875,
-0.0233612060546875,
-0.0263519287109375,
0.041778564453125,
0.0054473876953125,
-0.036285400390625,
0.0225372314453125,
-0.053192138671875,
0.021270751953125,
0.057891845703125,
0.0301971435546875,
0.00884246826171875,
-0.01358795166015625,
-0.020721435546875,
-0.015655517578125,
-0.03375244140625,
-0.0396728515625,
0.08721923828125,
0.01812744140625,
0.0247344970703125,
0.035736083984375,
0.0631103515625,
0.0267486572265625,
0.0012149810791015625,
-0.027587890625,
0.0020542144775390625,
0.015838623046875,
-0.05096435546875,
-0.030029296875,
-0.00533294677734375,
-0.086669921875,
0.03717041015625,
-0.0160675048828125,
-0.07177734375,
0.046905517578125,
0.01708984375,
-0.032073974609375,
0.0421142578125,
-0.051422119140625,
0.04974365234375,
-0.00432586669921875,
-0.05133056640625,
-0.0073089599609375,
-0.04620361328125,
0.033966064453125,
0.0053558349609375,
0.0386962890625,
-0.00914764404296875,
0.004497528076171875,
0.0323486328125,
-0.068359375,
0.0186004638671875,
-0.0166168212890625,
0.0169219970703125,
0.040771484375,
-0.01172637939453125,
0.048553466796875,
0.0124359130859375,
-0.0167694091796875,
-0.01303863525390625,
0.01788330078125,
-0.044708251953125,
-0.0128936767578125,
0.066650390625,
-0.073974609375,
-0.0670166015625,
-0.0396728515625,
-0.0193023681640625,
0.0177764892578125,
0.02581787109375,
0.01959228515625,
0.02545166015625,
0.005550384521484375,
0.025665283203125,
0.042205810546875,
-0.007080078125,
0.04620361328125,
0.01654052734375,
-0.01177215576171875,
-0.06646728515625,
0.049346923828125,
0.006519317626953125,
0.0174713134765625,
0.00774383544921875,
0.0256195068359375,
-0.037841796875,
-0.02117919921875,
-0.0233917236328125,
0.0057373046875,
-0.0128326416015625,
-0.0245361328125,
-0.05950927734375,
0.0024662017822265625,
-0.060638427734375,
-0.036529541015625,
-0.0299224853515625,
-0.0130615234375,
-0.0279693603515625,
-0.0195159912109375,
0.042388916015625,
0.05780029296875,
-0.0229339599609375,
0.029510498046875,
-0.0350341796875,
0.0176849365234375,
0.01300048828125,
0.013702392578125,
0.007366180419921875,
-0.0204620361328125,
-0.01007080078125,
0.00482177734375,
-0.03399658203125,
-0.06658935546875,
0.05804443359375,
-0.013458251953125,
0.0245819091796875,
0.044189453125,
-0.00203704833984375,
0.06964111328125,
-0.004001617431640625,
0.060272216796875,
0.0369873046875,
-0.050018310546875,
0.05267333984375,
-0.03253173828125,
0.02252197265625,
0.051239013671875,
0.034027099609375,
-0.028228759765625,
-0.0098876953125,
-0.070068359375,
-0.06365966796875,
0.05560302734375,
0.0200958251953125,
-0.0071258544921875,
-0.007625579833984375,
0.0015325546264648438,
-0.0223846435546875,
0.01483154296875,
-0.06268310546875,
-0.06365966796875,
-0.00933074951171875,
0.005611419677734375,
0.004512786865234375,
-0.00801849365234375,
-0.0228729248046875,
-0.045074462890625,
0.0300750732421875,
0.0199432373046875,
0.01605224609375,
0.025299072265625,
0.00899505615234375,
-0.02276611328125,
0.01203155517578125,
0.05059814453125,
0.061676025390625,
-0.041351318359375,
0.0150909423828125,
0.0085601806640625,
-0.0279693603515625,
0.0125732421875,
-0.00917816162109375,
-0.0302734375,
-0.0013647079467773438,
0.0130462646484375,
0.033599853515625,
0.00897979736328125,
0.0163116455078125,
0.04791259765625,
0.0111846923828125,
-0.043853759765625,
-0.0396728515625,
-0.01605224609375,
0.021575927734375,
0.0303955078125,
0.042236328125,
0.03033447265625,
0.0005354881286621094,
-0.049346923828125,
0.018341064453125,
0.038421630859375,
-0.036468505859375,
0.0093841552734375,
0.0679931640625,
0.00946044921875,
-0.0189208984375,
0.0191802978515625,
0.00445556640625,
-0.0457763671875,
0.06610107421875,
0.0195465087890625,
0.03173828125,
-0.0185546875,
0.0093841552734375,
0.0863037109375,
0.033111572265625,
0.01418304443359375,
0.0391845703125,
0.0006728172302246094,
-0.0220184326171875,
0.0302276611328125,
-0.046051025390625,
-0.000965118408203125,
0.0175323486328125,
-0.037750244140625,
0.0308990478515625,
-0.042205810546875,
-0.03802490234375,
-0.0268402099609375,
0.03851318359375,
-0.055816650390625,
0.0260009765625,
-0.01537322998046875,
0.0806884765625,
-0.07403564453125,
0.04534912109375,
0.046661376953125,
-0.06011962890625,
-0.08380126953125,
-0.03753662109375,
-0.005168914794921875,
-0.0416259765625,
0.043182373046875,
-0.007598876953125,
0.004367828369140625,
0.00955963134765625,
-0.04473876953125,
-0.0946044921875,
0.11328125,
-0.009918212890625,
-0.042816162109375,
0.0360107421875,
0.0045623779296875,
0.0266876220703125,
0.006229400634765625,
0.042327880859375,
0.042999267578125,
0.0560302734375,
0.0166778564453125,
-0.070068359375,
0.003932952880859375,
-0.0234222412109375,
0.0006866455078125,
0.026702880859375,
-0.0784912109375,
0.08648681640625,
-0.0266571044921875,
-0.001682281494140625,
-0.000682830810546875,
0.040557861328125,
0.022979736328125,
0.01529693603515625,
0.029937744140625,
0.08258056640625,
0.06427001953125,
-0.029327392578125,
0.08245849609375,
-0.02557373046875,
0.060455322265625,
0.04693603515625,
0.0179595947265625,
0.060272216796875,
0.0333251953125,
-0.061065673828125,
0.0277252197265625,
0.056976318359375,
-0.007190704345703125,
0.045928955078125,
0.004390716552734375,
-0.030364990234375,
0.005252838134765625,
0.0021724700927734375,
-0.049560546875,
0.00392913818359375,
0.016021728515625,
-0.03228759765625,
-0.0251312255859375,
-0.01934814453125,
0.00689697265625,
0.0076751708984375,
-0.032684326171875,
0.0245819091796875,
-0.0165252685546875,
-0.017608642578125,
0.0236968994140625,
-0.0159149169921875,
0.05059814453125,
-0.040191650390625,
0.0020236968994140625,
-0.0093536376953125,
0.037933349609375,
-0.0540771484375,
-0.08062744140625,
0.0248870849609375,
-0.0296630859375,
-0.033843994140625,
-0.004734039306640625,
0.0256195068359375,
-0.0090179443359375,
-0.037017822265625,
0.00974273681640625,
0.014495849609375,
0.01454925537109375,
0.020477294921875,
-0.05804443359375,
-0.0156097412109375,
0.025390625,
-0.04144287109375,
0.0052337646484375,
0.03668212890625,
-0.0028171539306640625,
0.0296173095703125,
0.06439208984375,
0.017578125,
0.0195770263671875,
-0.0255279541015625,
0.07769775390625,
-0.047576904296875,
-0.035400390625,
-0.044281005859375,
0.029876708984375,
-0.0152740478515625,
-0.044525146484375,
0.055206298828125,
0.06427001953125,
0.0311126708984375,
-0.0188140869140625,
0.045318603515625,
-0.04205322265625,
0.050506591796875,
-0.00713348388671875,
0.05096435546875,
-0.059326171875,
-0.01107025146484375,
-0.01079559326171875,
-0.05010986328125,
-0.0298004150390625,
0.0596923828125,
-0.05010986328125,
-0.004730224609375,
0.04132080078125,
0.07830810546875,
0.01364898681640625,
0.0033092498779296875,
0.00861358642578125,
0.0013751983642578125,
-0.003292083740234375,
0.05059814453125,
0.032501220703125,
-0.0462646484375,
0.0272979736328125,
-0.04742431640625,
-0.0035915374755859375,
-0.0198516845703125,
-0.056396484375,
-0.036712646484375,
-0.034576416015625,
-0.035675048828125,
-0.0260467529296875,
-0.01323699951171875,
0.0672607421875,
0.04705810546875,
-0.06793212890625,
-0.038421630859375,
-0.002536773681640625,
0.0139312744140625,
-0.01224517822265625,
-0.014984130859375,
0.092529296875,
0.0078125,
-0.054351806640625,
-0.00435638427734375,
0.031707763671875,
0.011871337890625,
-0.0017156600952148438,
-0.0085601806640625,
-0.033843994140625,
-0.006992340087890625,
0.0318603515625,
0.033966064453125,
-0.0572509765625,
-0.0118255615234375,
-0.01490020751953125,
-0.033721923828125,
0.039154052734375,
0.010894775390625,
-0.04266357421875,
0.0249176025390625,
0.041107177734375,
0.03167724609375,
0.05096435546875,
0.020233154296875,
0.0006198883056640625,
-0.0236053466796875,
0.005523681640625,
-0.0161895751953125,
0.0246734619140625,
-0.0001990795135498047,
-0.036285400390625,
0.05218505859375,
0.040740966796875,
-0.039581298828125,
-0.038299560546875,
-0.032012939453125,
-0.08758544921875,
0.0035343170166015625,
0.06243896484375,
-0.00977325439453125,
-0.051727294921875,
-0.00972747802734375,
-0.0280609130859375,
-0.001041412353515625,
-0.04522705078125,
0.0259552001953125,
0.038421630859375,
-0.0255279541015625,
-0.0214996337890625,
-0.057342529296875,
0.0275115966796875,
0.0016298294067382812,
-0.05621337890625,
-0.030364990234375,
0.0272216796875,
0.031402587890625,
0.0304107666015625,
0.0711669921875,
-0.001251220703125,
0.01229095458984375,
0.0274505615234375,
0.01280975341796875,
0.0019588470458984375,
0.0023250579833984375,
0.0121307373046875,
0.0287628173828125,
-0.00554656982421875,
-0.042938232421875
]
] |
Ranjit/test_1 | 2023-09-28T20:14:37.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:AmazonScience/massive",
"endpoints_compatible",
"region:us"
] | text-classification | Ranjit | null | null | Ranjit/test_1 | 0 | 2 | transformers | 2023-09-28T20:14:10 | ---
base_model: xxxxxxxxx
tags:
- generated_from_trainer
datasets:
- AmazonScience/massive
metrics:
- f1
model-index:
- name: massive_indo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# massive_indo
This model is a fine-tuned version of [xxxxxxxxx](https://huggingface.co/xxxxxxxxx) on the massive dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6883
- F1: 0.8201
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.1343 | 0.11 | 2000 | 1.7374 | 0.2664 |
| 1.2506 | 0.22 | 4000 | 1.1294 | 0.5441 |
| 0.9268 | 0.33 | 6000 | 0.8991 | 0.6547 |
| 0.7993 | 0.44 | 8000 | 0.8401 | 0.6819 |
| 0.6985 | 0.54 | 10000 | 0.7629 | 0.7245 |
| 0.6418 | 0.65 | 12000 | 0.7507 | 0.7559 |
| 0.5887 | 0.76 | 14000 | 0.6858 | 0.7796 |
| 0.5462 | 0.87 | 16000 | 0.6852 | 0.7872 |
| 0.508 | 0.98 | 18000 | 0.6731 | 0.7836 |
| 0.4222 | 1.09 | 20000 | 0.6884 | 0.7902 |
| 0.3948 | 1.2 | 22000 | 0.6809 | 0.7897 |
| 0.3947 | 1.31 | 24000 | 0.6894 | 0.7935 |
| 0.3779 | 1.42 | 26000 | 0.6702 | 0.8026 |
| 0.3488 | 1.53 | 28000 | 0.6762 | 0.7935 |
| 0.3461 | 1.63 | 30000 | 0.6737 | 0.8054 |
| 0.3372 | 1.74 | 32000 | 0.6720 | 0.8062 |
| 0.3275 | 1.85 | 34000 | 0.6526 | 0.8156 |
| 0.3224 | 1.96 | 36000 | 0.6717 | 0.8068 |
| 0.2425 | 2.07 | 38000 | 0.6810 | 0.8143 |
| 0.2423 | 2.18 | 40000 | 0.6668 | 0.8196 |
| 0.2394 | 2.29 | 42000 | 0.7014 | 0.8125 |
| 0.2247 | 2.4 | 44000 | 0.6842 | 0.8167 |
| 0.2253 | 2.51 | 46000 | 0.7012 | 0.8130 |
| 0.2225 | 2.62 | 48000 | 0.6907 | 0.8178 |
| 0.2074 | 2.72 | 50000 | 0.6814 | 0.8206 |
| 0.2095 | 2.83 | 52000 | 0.6928 | 0.8192 |
| 0.2018 | 2.94 | 54000 | 0.6883 | 0.8201 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
| 2,915 | [
[
-0.041839599609375,
-0.040618896484375,
0.00812530517578125,
0.0089569091796875,
-0.0108184814453125,
-0.00916290283203125,
-0.006702423095703125,
-0.00666046142578125,
0.035614013671875,
0.0220947265625,
-0.04840087890625,
-0.043914794921875,
-0.046844482421875,
-0.0100860595703125,
-0.004970550537109375,
0.06781005859375,
0.008209228515625,
-0.001293182373046875,
-0.01021575927734375,
-0.01282501220703125,
-0.034393310546875,
-0.0191650390625,
-0.054412841796875,
-0.0264739990234375,
0.018951416015625,
0.028961181640625,
0.05694580078125,
0.051239013671875,
0.037017822265625,
0.02392578125,
-0.0322265625,
0.0021762847900390625,
-0.028228759765625,
-0.0309906005859375,
0.0035381317138671875,
-0.041595458984375,
-0.03387451171875,
-0.0026149749755859375,
0.0487060546875,
0.03997802734375,
-0.0071868896484375,
0.03533935546875,
0.005950927734375,
0.053802490234375,
-0.0307769775390625,
0.021636962890625,
-0.0151824951171875,
0.01274871826171875,
-0.0098724365234375,
-0.0173492431640625,
-0.0026760101318359375,
-0.020172119140625,
0.005741119384765625,
-0.041351318359375,
0.0200653076171875,
0.005199432373046875,
0.10614013671875,
0.0219573974609375,
-0.02734375,
0.00872802734375,
-0.041412353515625,
0.0526123046875,
-0.04205322265625,
0.0185699462890625,
0.037078857421875,
0.0191192626953125,
0.003337860107421875,
-0.057220458984375,
-0.05096435546875,
0.026336669921875,
-0.0182647705078125,
0.0200958251953125,
-0.006114959716796875,
-0.0218963623046875,
0.04449462890625,
0.05572509765625,
-0.044403076171875,
0.005786895751953125,
-0.047943115234375,
-0.015655517578125,
0.05511474609375,
0.036407470703125,
0.01238250732421875,
-0.0418701171875,
-0.035247802734375,
-0.0222930908203125,
-0.0310821533203125,
0.0294342041015625,
0.042816162109375,
0.01213836669921875,
-0.040618896484375,
0.032440185546875,
-0.014190673828125,
0.04534912109375,
0.01119232177734375,
-0.01149749755859375,
0.05755615234375,
-0.0188446044921875,
-0.031280517578125,
-0.004222869873046875,
0.0556640625,
0.03985595703125,
0.0004782676696777344,
0.01380157470703125,
-0.00551605224609375,
-0.0022373199462890625,
0.006011962890625,
-0.06695556640625,
-0.0142364501953125,
0.032684326171875,
-0.04052734375,
-0.0312347412109375,
0.00089263916015625,
-0.05865478515625,
-0.0008645057678222656,
-0.036865234375,
0.0266265869140625,
-0.0204315185546875,
-0.041717529296875,
-0.00145721435546875,
-0.01177215576171875,
0.04046630859375,
0.01334381103515625,
-0.075927734375,
0.01149749755859375,
0.035980224609375,
0.0657958984375,
0.009735107421875,
-0.00896453857421875,
0.003528594970703125,
0.00982666015625,
-0.038055419921875,
0.05255126953125,
-0.01534271240234375,
-0.036041259765625,
-0.01413726806640625,
0.0249786376953125,
-0.024993896484375,
-0.028900146484375,
0.05767822265625,
-0.0259246826171875,
0.023590087890625,
-0.0274200439453125,
-0.02679443359375,
-0.0277099609375,
0.035430908203125,
-0.03955078125,
0.08819580078125,
0.0159759521484375,
-0.072021484375,
0.044830322265625,
-0.045135498046875,
0.006744384765625,
0.0036067962646484375,
-0.0092315673828125,
-0.059844970703125,
-0.0157623291015625,
0.0264129638671875,
0.0316162109375,
-0.0280914306640625,
0.0229949951171875,
-0.0106353759765625,
-0.031005859375,
-0.024169921875,
-0.021881103515625,
0.08026123046875,
0.0182647705078125,
-0.04205322265625,
0.024444580078125,
-0.08026123046875,
0.021697998046875,
0.017974853515625,
-0.0218658447265625,
-0.007030487060546875,
-0.0299835205078125,
0.021087646484375,
0.01861572265625,
0.017791748046875,
-0.03936767578125,
0.0269927978515625,
-0.02398681640625,
0.041290283203125,
0.051361083984375,
0.0138702392578125,
0.0180816650390625,
-0.034820556640625,
0.023345947265625,
0.0229034423828125,
0.02886962890625,
0.004970550537109375,
-0.034210205078125,
-0.0654296875,
-0.034637451171875,
0.0166168212890625,
0.034942626953125,
-0.01447296142578125,
0.047607421875,
-0.0167083740234375,
-0.05584716796875,
-0.0260009765625,
-0.01202392578125,
0.01593017578125,
0.04412841796875,
0.01529693603515625,
-0.004436492919921875,
-0.040802001953125,
-0.08319091796875,
0.0056610107421875,
-0.00127410888671875,
0.013336181640625,
0.0267486572265625,
0.06829833984375,
-0.0291900634765625,
0.06475830078125,
-0.04901123046875,
-0.0401611328125,
-0.01080322265625,
-0.0056915283203125,
0.05181884765625,
0.051177978515625,
0.053192138671875,
-0.06683349609375,
-0.0428466796875,
0.00116729736328125,
-0.05938720703125,
0.029205322265625,
-0.00762939453125,
-0.01306915283203125,
0.0049896240234375,
0.0231170654296875,
-0.043212890625,
0.05377197265625,
0.04278564453125,
-0.036865234375,
0.06353759765625,
-0.033935546875,
0.016021728515625,
-0.0885009765625,
0.031829833984375,
-0.0053863525390625,
-0.0127410888671875,
-0.0178375244140625,
0.0015659332275390625,
0.007293701171875,
-0.025390625,
-0.0170440673828125,
0.04937744140625,
-0.026397705078125,
0.00916290283203125,
0.0021610260009765625,
-0.0200042724609375,
-0.0028018951416015625,
0.0557861328125,
0.0007686614990234375,
0.06903076171875,
0.06756591796875,
-0.034637451171875,
0.019989013671875,
0.030670166015625,
-0.04119873046875,
0.044586181640625,
-0.060546875,
-0.005207061767578125,
-0.0081939697265625,
0.001331329345703125,
-0.07373046875,
-0.035858154296875,
0.0205841064453125,
-0.03131103515625,
0.0209808349609375,
-0.0101318359375,
-0.0157318115234375,
-0.057708740234375,
-0.0291595458984375,
0.0038471221923828125,
0.03045654296875,
-0.031341552734375,
0.042999267578125,
0.009185791015625,
0.00792694091796875,
-0.0460205078125,
-0.055389404296875,
-0.0010957717895507812,
-0.018157958984375,
-0.053985595703125,
0.0223541259765625,
-0.00421905517578125,
-0.0055084228515625,
0.00762176513671875,
-0.0020008087158203125,
-0.01251983642578125,
-0.00484466552734375,
0.042694091796875,
0.02056884765625,
-0.0128936767578125,
-0.0186614990234375,
-0.00737762451171875,
-0.03167724609375,
0.0016412734985351562,
-0.0012273788452148438,
0.046417236328125,
-0.023406982421875,
-0.0232696533203125,
-0.05682373046875,
-0.00490570068359375,
0.050079345703125,
-0.0233154296875,
0.0753173828125,
0.044769287109375,
-0.028594970703125,
0.011962890625,
-0.033905029296875,
-0.00591278076171875,
-0.03277587890625,
0.029541015625,
-0.0433349609375,
-0.044342041015625,
0.064208984375,
-0.005950927734375,
0.01395416259765625,
0.066162109375,
0.04229736328125,
0.012054443359375,
0.08013916015625,
0.0291748046875,
-0.0081787109375,
0.01438140869140625,
-0.074951171875,
0.010955810546875,
-0.0660400390625,
-0.04937744140625,
-0.031585693359375,
-0.026123046875,
-0.042327880859375,
-0.00925445556640625,
0.0224151611328125,
0.00605010986328125,
-0.053314208984375,
0.0087890625,
-0.055145263671875,
0.0253143310546875,
0.053924560546875,
0.0223388671875,
0.003238677978515625,
-0.00374603271484375,
-0.0173187255859375,
-0.0145416259765625,
-0.047607421875,
-0.0288848876953125,
0.09405517578125,
0.0162811279296875,
0.033935546875,
-0.000025987625122070312,
0.0494384765625,
0.01113128662109375,
0.0013685226440429688,
-0.03936767578125,
0.0157470703125,
0.0115966796875,
-0.07318115234375,
-0.01824951171875,
-0.0233917236328125,
-0.0665283203125,
0.031829833984375,
-0.0240020751953125,
-0.05816650390625,
0.041259765625,
0.01099395751953125,
-0.039398193359375,
0.04193115234375,
-0.04046630859375,
0.07196044921875,
-0.00487518310546875,
-0.04296875,
-0.00945281982421875,
-0.04541015625,
0.0285186767578125,
0.0003979206085205078,
0.00476837158203125,
-0.003116607666015625,
0.0097503662109375,
0.06024169921875,
-0.052459716796875,
0.03326416015625,
-0.0155181884765625,
0.0224151611328125,
0.0276947021484375,
-0.0149078369140625,
0.04107666015625,
0.023193359375,
-0.01306915283203125,
0.00450897216796875,
0.00440216064453125,
-0.046966552734375,
-0.0286407470703125,
0.074951171875,
-0.08502197265625,
-0.046966552734375,
-0.04766845703125,
-0.0423583984375,
0.01959228515625,
0.029449462890625,
0.03314208984375,
0.05438232421875,
0.01433563232421875,
0.020721435546875,
0.04840087890625,
-0.007110595703125,
0.041839599609375,
0.0141448974609375,
-0.00839996337890625,
-0.056732177734375,
0.061004638671875,
0.00534820556640625,
0.0176544189453125,
-0.0045166015625,
0.0151519775390625,
-0.038299560546875,
-0.018096923828125,
-0.037139892578125,
0.0198516845703125,
-0.0305633544921875,
-0.0157318115234375,
-0.047027587890625,
-0.018035888671875,
-0.046966552734375,
-0.027374267578125,
-0.0328369140625,
-0.011810302734375,
-0.0166473388671875,
-0.0132598876953125,
0.039947509765625,
0.038177490234375,
-0.010009765625,
0.0259246826171875,
-0.03668212890625,
-0.000675201416015625,
0.011962890625,
0.0144805908203125,
0.00748443603515625,
-0.044952392578125,
-0.01392364501953125,
-0.00470733642578125,
-0.0261383056640625,
-0.03509521484375,
0.055908203125,
0.00177001953125,
0.031036376953125,
0.0458984375,
-0.01136016845703125,
0.0771484375,
-0.00838470458984375,
0.06317138671875,
0.02252197265625,
-0.04534912109375,
0.0396728515625,
-0.0249786376953125,
0.03216552734375,
0.047271728515625,
0.04437255859375,
-0.034698486328125,
-0.007232666015625,
-0.0826416015625,
-0.07464599609375,
0.057586669921875,
0.0148773193359375,
0.001567840576171875,
0.02020263671875,
0.024749755859375,
-0.0265655517578125,
0.0184326171875,
-0.0531005859375,
-0.056060791015625,
-0.010009765625,
0.003047943115234375,
-0.0080413818359375,
-0.0163421630859375,
-0.017181396484375,
-0.046539306640625,
0.051055908203125,
0.0182952880859375,
0.0176239013671875,
0.019256591796875,
0.01264190673828125,
-0.00731658935546875,
0.0035762786865234375,
0.0465087890625,
0.0684814453125,
-0.039093017578125,
-0.004833221435546875,
0.0076141357421875,
-0.038848876953125,
0.005153656005859375,
0.0026607513427734375,
-0.0274810791015625,
-0.0018777847290039062,
0.0277252197265625,
0.0596923828125,
0.0050201416015625,
-0.004100799560546875,
0.0390625,
0.006988525390625,
-0.036651611328125,
-0.04522705078125,
-0.003154754638671875,
0.006317138671875,
0.0203399658203125,
0.03240966796875,
0.031341552734375,
0.00018775463104248047,
-0.0287017822265625,
0.004283905029296875,
0.015655517578125,
-0.03948974609375,
-0.00839996337890625,
0.07763671875,
0.0011425018310546875,
-0.0123138427734375,
0.0555419921875,
-0.0016450881958007812,
-0.042694091796875,
0.0714111328125,
0.0253448486328125,
0.04412841796875,
-0.0164031982421875,
0.0008358955383300781,
0.08380126953125,
0.020050048828125,
-0.0013704299926757812,
0.03167724609375,
0.01126861572265625,
-0.01129913330078125,
-0.0140838623046875,
-0.05047607421875,
-0.01239013671875,
0.03399658203125,
-0.061187744140625,
0.040740966796875,
-0.034271240234375,
-0.021209716796875,
-0.00238037109375,
0.0219879150390625,
-0.060699462890625,
0.0374755859375,
-0.005100250244140625,
0.07843017578125,
-0.072998046875,
0.03717041015625,
0.04986572265625,
-0.05078125,
-0.0882568359375,
-0.03485107421875,
-0.0033168792724609375,
-0.057342529296875,
0.053253173828125,
0.01538848876953125,
0.03271484375,
0.01522064208984375,
-0.03948974609375,
-0.0797119140625,
0.08819580078125,
-0.00762939453125,
-0.046905517578125,
0.015472412109375,
0.00751495361328125,
0.035552978515625,
0.003662109375,
0.041015625,
0.0313720703125,
0.043701171875,
0.01446533203125,
-0.0596923828125,
0.00567626953125,
-0.032440185546875,
0.000751495361328125,
0.0306243896484375,
-0.06695556640625,
0.08343505859375,
-0.0196533203125,
0.0126495361328125,
-0.0022125244140625,
0.048095703125,
0.02337646484375,
0.010223388671875,
0.03375244140625,
0.082275390625,
0.053375244140625,
-0.02191162109375,
0.08935546875,
-0.03350830078125,
0.0640869140625,
0.054443359375,
0.013031005859375,
0.049713134765625,
0.02642822265625,
-0.03021240234375,
0.029327392578125,
0.07489013671875,
-0.0147552490234375,
0.0330810546875,
0.0015201568603515625,
-0.0190277099609375,
-0.0271759033203125,
0.0095367431640625,
-0.0599365234375,
0.0148773193359375,
0.01079559326171875,
-0.02667236328125,
-0.020843505859375,
-0.0046234130859375,
0.007793426513671875,
-0.009765625,
-0.04010009765625,
0.029876708984375,
-0.0209503173828125,
-0.02117919921875,
0.051910400390625,
-0.0090179443359375,
0.04754638671875,
-0.053253173828125,
0.0006818771362304688,
-0.01140594482421875,
0.03717041015625,
-0.049224853515625,
-0.06207275390625,
0.0238037109375,
-0.0169219970703125,
-0.025177001953125,
0.006687164306640625,
0.03131103515625,
-0.01329803466796875,
-0.052032470703125,
-0.0016317367553710938,
0.00405120849609375,
0.01192474365234375,
0.0040283203125,
-0.05804443359375,
-0.00926971435546875,
0.0064544677734375,
-0.050018310546875,
0.0106048583984375,
0.0234375,
-0.0103302001953125,
0.03704833984375,
0.056640625,
0.00328826904296875,
0.0082244873046875,
-0.013336181640625,
0.08343505859375,
-0.046600341796875,
-0.0469970703125,
-0.05224609375,
0.0288238525390625,
-0.0280303955078125,
-0.06097412109375,
0.06329345703125,
0.07171630859375,
0.045623779296875,
-0.01038360595703125,
0.042022705078125,
-0.03509521484375,
0.03326416015625,
-0.014373779296875,
0.05352783203125,
-0.05950927734375,
-0.01806640625,
-0.0117340087890625,
-0.0667724609375,
-0.029022216796875,
0.04925537109375,
-0.0452880859375,
0.0002397298812866211,
0.0380859375,
0.0662841796875,
0.00388336181640625,
0.005229949951171875,
0.007167816162109375,
0.004238128662109375,
0.0167388916015625,
0.03619384765625,
0.029266357421875,
-0.0556640625,
0.030853271484375,
-0.044158935546875,
-0.0088348388671875,
-0.01020050048828125,
-0.040557861328125,
-0.05615234375,
-0.035247802734375,
-0.0389404296875,
-0.0335693359375,
-0.0121307373046875,
0.06683349609375,
0.057830810546875,
-0.0482177734375,
-0.01251220703125,
-0.003040313720703125,
-0.006519317626953125,
-0.0139312744140625,
-0.0172576904296875,
0.0721435546875,
-0.008392333984375,
-0.06817626953125,
-0.0171661376953125,
0.0012216567993164062,
0.012298583984375,
-0.01152801513671875,
-0.005321502685546875,
-0.02496337890625,
-0.0156097412109375,
0.0308380126953125,
0.0167999267578125,
-0.0282745361328125,
-0.0136260986328125,
-0.0133819580078125,
-0.01375579833984375,
0.02117919921875,
0.0184326171875,
-0.03155517578125,
0.0267333984375,
0.02978515625,
0.0308380126953125,
0.052886962890625,
0.0014009475708007812,
0.004367828369140625,
-0.0254058837890625,
0.034454345703125,
-0.0018310546875,
0.019683837890625,
0.00917816162109375,
-0.031768798828125,
0.053741455078125,
0.0367431640625,
-0.058624267578125,
-0.06427001953125,
-0.02362060546875,
-0.08306884765625,
0.0064239501953125,
0.0826416015625,
-0.0020751953125,
-0.052093505859375,
0.0054779052734375,
-0.026580810546875,
0.002010345458984375,
-0.01910400390625,
0.035430908203125,
0.04461669921875,
-0.00788116455078125,
0.0093994140625,
-0.048492431640625,
0.031524658203125,
0.016510009765625,
-0.05169677734375,
-0.016754150390625,
0.019927978515625,
0.034698486328125,
0.0222930908203125,
0.03515625,
-0.018951416015625,
0.01409912109375,
0.02838134765625,
0.0198974609375,
-0.0168304443359375,
0.0004069805145263672,
-0.01580810546875,
0.00966644287109375,
-0.002899169921875,
-0.036285400390625
]
] |
wy2029/a2c-PandaReachDense-v3 | 2023-09-28T20:35:54.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | wy2029 | null | null | wy2029/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-09-28T20:29:58 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: -11.51 +/- 8.88
name: mean_reward
verified: false
---
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 803 | [
[
-0.0222625732421875,
-0.046966552734375,
-0.0018186569213867188,
0.0477294921875,
0.0019130706787109375,
-0.0059051513671875,
0.034088134765625,
-0.0240020751953125,
0.0287017822265625,
0.043853759765625,
-0.061187744140625,
-0.034088134765625,
-0.0300140380859375,
-0.000995635986328125,
-0.026580810546875,
0.072021484375,
-0.01364898681640625,
0.033233642578125,
0.0006160736083984375,
-0.01519012451171875,
-0.01404571533203125,
-0.0195159912109375,
-0.0714111328125,
-0.05462646484375,
0.01580810546875,
0.0288238525390625,
0.056884765625,
0.04522705078125,
0.037750244140625,
0.0262603759765625,
-0.029296875,
-0.03466796875,
-0.040283203125,
0.00827789306640625,
0.00209808349609375,
-0.0517578125,
-0.04632568359375,
0.007007598876953125,
0.041473388671875,
0.012542724609375,
-0.0305938720703125,
0.00908660888671875,
-0.01097869873046875,
0.035186767578125,
-0.03961181640625,
0.0264434814453125,
-0.0135650634765625,
0.00601959228515625,
0.004436492919921875,
0.0176239013671875,
-0.0192718505859375,
-0.022125244140625,
0.0189056396484375,
-0.0584716796875,
0.0029315948486328125,
-0.00719451904296875,
0.09527587890625,
0.022247314453125,
-0.0271148681640625,
0.0013065338134765625,
-0.00372314453125,
0.0282440185546875,
-0.0247802734375,
0.00812530517578125,
0.0452880859375,
0.04315185546875,
0.003704071044921875,
-0.059814453125,
-0.01580810546875,
-0.0184173583984375,
0.01097869873046875,
0.00925445556640625,
-0.002895355224609375,
-0.0010423660278320312,
0.031463623046875,
0.01557159423828125,
-0.019256591796875,
0.01428985595703125,
-0.03662109375,
-0.034088134765625,
0.0277557373046875,
0.0265350341796875,
0.008148193359375,
0.0084686279296875,
-0.033843994140625,
-0.0004963874816894531,
-0.0302581787109375,
0.034637451171875,
0.0204925537109375,
0.006412506103515625,
-0.04833984375,
0.05792236328125,
-0.0161285400390625,
0.038177490234375,
0.03155517578125,
0.0179901123046875,
0.036346435546875,
0.0033702850341796875,
0.0010929107666015625,
-0.0031528472900390625,
0.027862548828125,
0.04718017578125,
-0.00009012222290039062,
0.009124755859375,
-0.02874755859375,
0.00799560546875,
0.022247314453125,
-0.07708740234375,
-0.029876708984375,
0.0291290283203125,
-0.037109375,
-0.042877197265625,
0.0037517547607421875,
-0.038787841796875,
-0.020050048828125,
-0.01434326171875,
0.00568389892578125,
-0.050811767578125,
-0.0267486572265625,
-0.0180816650390625,
-0.035919189453125,
0.046417236328125,
0.0139007568359375,
-0.064453125,
0.0439453125,
0.03851318359375,
0.07733154296875,
0.010833740234375,
-0.045989990234375,
-0.04998779296875,
0.00807952880859375,
-0.034271240234375,
0.07000732421875,
0.00457763671875,
-0.031463623046875,
0.025146484375,
0.022247314453125,
0.014404296875,
-0.03765869140625,
0.027923583984375,
-0.04022216796875,
-0.01531219482421875,
-0.01371002197265625,
-0.034912109375,
-0.009918212890625,
0.0291595458984375,
-0.05859375,
0.08233642578125,
0.040283203125,
-0.054290771484375,
0.0144805908203125,
-0.046539306640625,
-0.0214996337890625,
0.01386260986328125,
0.0262298583984375,
-0.055450439453125,
-0.0251617431640625,
-0.0099639892578125,
0.0162811279296875,
0.0306549072265625,
-0.02142333984375,
-0.062103271484375,
-0.038482666015625,
-0.0017366409301757812,
0.0204315185546875,
0.09356689453125,
0.0101470947265625,
-0.007511138916015625,
0.01381683349609375,
-0.05206298828125,
-0.0166778564453125,
0.006839752197265625,
-0.027130126953125,
0.003681182861328125,
-0.006519317626953125,
0.021759033203125,
0.005596160888671875,
0.038543701171875,
-0.039947509765625,
0.025054931640625,
-0.0265960693359375,
0.0184783935546875,
0.05218505859375,
-0.0033397674560546875,
0.04412841796875,
-0.044281005859375,
0.0255889892578125,
0.00339508056640625,
0.00547027587890625,
0.011932373046875,
-0.0291595458984375,
-0.044403076171875,
-0.044281005859375,
0.007205963134765625,
0.070068359375,
-0.07623291015625,
0.04656982421875,
0.0200042724609375,
-0.050567626953125,
-0.035308837890625,
-0.0020656585693359375,
0.0159149169921875,
0.01094818115234375,
0.0248260498046875,
-0.0068511962890625,
-0.03955078125,
-0.060699462890625,
0.019744873046875,
-0.0297088623046875,
-0.002048492431640625,
0.0098724365234375,
0.036956787109375,
-0.0423583984375,
0.05126953125,
-0.031036376953125,
-0.027557373046875,
-0.01947021484375,
-0.005290985107421875,
0.00665283203125,
0.05877685546875,
0.07177734375,
-0.016082763671875,
-0.033111572265625,
-0.039764404296875,
-0.05938720703125,
-0.01873779296875,
0.0194854736328125,
-0.034088134765625,
0.024658203125,
0.03216552734375,
-0.06488037109375,
0.0382080078125,
0.042083740234375,
-0.04925537109375,
0.051727294921875,
-0.0081939697265625,
-0.00803375244140625,
-0.07965087890625,
0.00974273681640625,
0.016937255859375,
-0.02813720703125,
-0.036712646484375,
0.025054931640625,
0.024169921875,
-0.0078277587890625,
-0.047882080078125,
0.05780029296875,
-0.04095458984375,
-0.008209228515625,
-0.034820556640625,
-0.0080108642578125,
-0.0038585662841796875,
0.014923095703125,
0.00905609130859375,
0.042022705078125,
0.0972900390625,
-0.037567138671875,
0.06964111328125,
0.055572509765625,
-0.01202392578125,
0.05059814453125,
-0.033721923828125,
-0.014678955078125,
-0.010162353515625,
0.04608154296875,
-0.035186767578125,
-0.0273284912109375,
0.03955078125,
-0.036102294921875,
0.0265960693359375,
-0.0189056396484375,
-0.0312042236328125,
-0.0435791015625,
-0.0239410400390625,
0.021270751953125,
0.026092529296875,
-0.05230712890625,
0.03961181640625,
0.039031982421875,
0.001300811767578125,
-0.040313720703125,
-0.0528564453125,
-0.00971221923828125,
-0.01031494140625,
-0.03338623046875,
0.0118255615234375,
-0.011962890625,
-0.0166473388671875,
-0.0038814544677734375,
-0.0015964508056640625,
-0.0170135498046875,
0.0167388916015625,
0.01145172119140625,
0.022796630859375,
-0.016143798828125,
-0.03448486328125,
-0.01241302490234375,
-0.0198822021484375,
0.01198577880859375,
0.020294189453125,
0.043548583984375,
-0.0291900634765625,
0.00792694091796875,
-0.0693359375,
0.0140533447265625,
0.022674560546875,
0.0027923583984375,
0.06451416015625,
0.04632568359375,
-0.0400390625,
-0.0161895751953125,
-0.01287078857421875,
-0.01264190673828125,
-0.03814697265625,
0.0214691162109375,
-0.029876708984375,
-0.032501220703125,
0.0625,
0.0123291015625,
-0.00792694091796875,
0.032379150390625,
0.03997802734375,
-0.00426483154296875,
0.08294677734375,
0.045989990234375,
-0.0199432373046875,
0.048828125,
-0.04248046875,
-0.03216552734375,
-0.064697265625,
-0.0244598388671875,
-0.034576416015625,
0.0119476318359375,
-0.0257415771484375,
-0.007244110107421875,
-0.0004591941833496094,
0.03216552734375,
-0.0499267578125,
0.055419921875,
-0.01800537109375,
0.0293731689453125,
0.035186767578125,
0.0201416015625,
-0.03131103515625,
-0.0273284912109375,
-0.007030487060546875,
0.035369873046875,
-0.022247314453125,
-0.0248870849609375,
0.06292724609375,
0.0406494140625,
0.05853271484375,
0.0259246826171875,
0.0467529296875,
0.007389068603515625,
0.03656005859375,
-0.046966552734375,
0.03765869140625,
0.002696990966796875,
-0.0638427734375,
-0.0139007568359375,
-0.0149688720703125,
-0.0657958984375,
0.017974853515625,
-0.019683837890625,
-0.05694580078125,
-0.0036773681640625,
0.008056640625,
-0.0238800048828125,
0.002788543701171875,
-0.03564453125,
0.08062744140625,
-0.0002377033233642578,
-0.0271148681640625,
0.00021731853485107422,
-0.046783447265625,
0.03228759765625,
0.031036376953125,
-0.00665283203125,
-0.0166473388671875,
-0.01338958740234375,
0.0223846435546875,
-0.0308685302734375,
0.0455322265625,
-0.045654296875,
-0.00027489662170410156,
0.035919189453125,
0.027099609375,
0.0335693359375,
0.0361328125,
-0.0167388916015625,
0.019622802734375,
0.0215911865234375,
-0.0728759765625,
-0.00655364990234375,
0.048797607421875,
-0.08148193359375,
-0.0205078125,
-0.05938720703125,
-0.0090484619140625,
0.0037517547607421875,
0.02392578125,
0.01078033447265625,
0.035125732421875,
-0.0309295654296875,
0.0154571533203125,
0.0230560302734375,
0.0194854736328125,
0.032012939453125,
0.0528564453125,
-0.02911376953125,
-0.03863525390625,
0.043487548828125,
-0.01241302490234375,
-0.005123138427734375,
0.00201416015625,
-0.01300048828125,
-0.020751953125,
-0.0260467529296875,
-0.037933349609375,
0.01006317138671875,
-0.0362548828125,
-0.0219573974609375,
-0.033172607421875,
-0.0426025390625,
-0.04156494140625,
-0.0207061767578125,
-0.028411865234375,
-0.01264190673828125,
-0.059539794921875,
-0.021087646484375,
0.0177764892578125,
0.031280517578125,
-0.045867919921875,
0.06866455078125,
-0.045684814453125,
0.043548583984375,
0.0012989044189453125,
0.05377197265625,
-0.029815673828125,
-0.022552490234375,
-0.041839599609375,
0.003643035888671875,
-0.052001953125,
-0.06805419921875,
0.03216552734375,
-0.0086669921875,
0.06842041015625,
0.038970947265625,
-0.016754150390625,
0.038238525390625,
-0.032806396484375,
0.0675048828125,
0.00609588623046875,
-0.0701904296875,
0.03240966796875,
-0.034912109375,
0.0186309814453125,
0.050506591796875,
0.0253753662109375,
-0.00908660888671875,
-0.0289306640625,
-0.05963134765625,
-0.0489501953125,
0.0823974609375,
0.034332275390625,
-0.015777587890625,
0.00136566162109375,
0.037994384765625,
-0.018768310546875,
0.0086517333984375,
-0.06085205078125,
-0.0264129638671875,
-0.046600341796875,
-0.0128936767578125,
-0.0141448974609375,
0.0008988380432128906,
-0.016204833984375,
-0.0034732818603515625,
0.07666015625,
-0.016357421875,
0.01934814453125,
0.005443572998046875,
-0.004764556884765625,
-0.02972412109375,
-0.050628662109375,
0.024566650390625,
0.0035266876220703125,
-0.048583984375,
-0.0236968994140625,
0.004749298095703125,
-0.02587890625,
0.005001068115234375,
0.0374755859375,
-0.01259613037109375,
-0.0174713134765625,
0.03216552734375,
0.06689453125,
0.0038204193115234375,
-0.028533935546875,
0.054718017578125,
-0.015838623046875,
-0.014190673828125,
-0.044952392578125,
0.0139007568359375,
-0.001453399658203125,
0.032562255859375,
-0.00954437255859375,
0.0384521484375,
0.019317626953125,
-0.040863037109375,
0.031494140625,
0.029693603515625,
-0.054290771484375,
-0.0179595947265625,
0.0557861328125,
0.020111083984375,
-0.035369873046875,
0.046966552734375,
-0.0057220458984375,
-0.038238525390625,
0.0782470703125,
0.035308837890625,
0.06207275390625,
-0.03851318359375,
0.01500701904296875,
0.0419921875,
0.01235198974609375,
-0.03289794921875,
0.03277587890625,
0.0010423660278320312,
-0.0654296875,
0.003307342529296875,
-0.034027099609375,
-0.043487548828125,
-0.0018777847290039062,
-0.060272216796875,
0.043212890625,
-0.034423828125,
-0.0227813720703125,
-0.0019292831420898438,
0.0197601318359375,
-0.03460693359375,
-0.0029163360595703125,
0.0164337158203125,
0.1055908203125,
-0.04730224609375,
0.062042236328125,
0.06390380859375,
-0.037689208984375,
-0.026611328125,
0.00804901123046875,
0.0228424072265625,
-0.06744384765625,
0.0214691162109375,
0.042510986328125,
0.01331329345703125,
0.01068878173828125,
-0.0731201171875,
-0.072021484375,
0.087646484375,
-0.002788543701171875,
0.014129638671875,
0.019073486328125,
-0.032501220703125,
0.0499267578125,
-0.04302978515625,
0.0322265625,
0.04168701171875,
0.0267791748046875,
0.00797271728515625,
-0.05120849609375,
-0.0182952880859375,
-0.0386962890625,
-0.0009832382202148438,
-0.0207977294921875,
-0.08636474609375,
0.06365966796875,
-0.0008587837219238281,
0.0093841552734375,
0.06402587890625,
0.062408447265625,
0.056060791015625,
0.0013303756713867188,
0.042236328125,
0.043853759765625,
0.01425933837890625,
-0.0016412734985351562,
0.061248779296875,
-0.03662109375,
0.039154052734375,
0.04534912109375,
-0.048126220703125,
0.052642822265625,
0.0030517578125,
0.00670623779296875,
0.05694580078125,
0.072998046875,
-0.0222930908203125,
0.0504150390625,
0.0240020751953125,
-0.004459381103515625,
-0.0137176513671875,
0.028411865234375,
-0.0245513916015625,
0.025543212890625,
0.0343017578125,
0.01061248779296875,
-0.0145111083984375,
-0.0133819580078125,
-0.0030364990234375,
-0.01187896728515625,
-0.04010009765625,
0.07379150390625,
-0.0015239715576171875,
-0.05413818359375,
0.056121826171875,
0.0113067626953125,
0.033294677734375,
-0.04217529296875,
-0.0020351409912109375,
-0.016448974609375,
0.042144775390625,
-0.0012874603271484375,
-0.0738525390625,
0.0159454345703125,
-0.0139923095703125,
-0.005889892578125,
-0.0019254684448242188,
0.03570556640625,
-0.0240478515625,
-0.03314208984375,
0.05218505859375,
0.00389862060546875,
0.006298065185546875,
0.018524169921875,
-0.07781982421875,
-0.0023479461669921875,
-0.02911376953125,
-0.0350341796875,
0.0240478515625,
0.03277587890625,
0.0199127197265625,
0.068603515625,
0.03167724609375,
0.00455474853515625,
-0.0042724609375,
-0.009368896484375,
0.062103271484375,
-0.04278564453125,
-0.060150146484375,
-0.021209716796875,
0.045684814453125,
-0.0207061767578125,
-0.034820556640625,
0.034332275390625,
0.0751953125,
0.037628173828125,
-0.00492095947265625,
0.045562744140625,
0.0032215118408203125,
0.0472412109375,
-0.0204620361328125,
0.056396484375,
-0.0311431884765625,
-0.0055084228515625,
-0.002346038818359375,
-0.060089111328125,
-0.0103912353515625,
0.06707763671875,
0.028961181640625,
-0.0125732421875,
0.035308837890625,
0.0595703125,
-0.0007414817810058594,
0.0107574462890625,
-0.007404327392578125,
0.048919677734375,
0.0165863037109375,
0.0060577392578125,
0.05120849609375,
-0.042236328125,
0.028411865234375,
-0.039642333984375,
-0.054046630859375,
-0.016937255859375,
-0.03924560546875,
-0.0858154296875,
-0.0185699462890625,
-0.017578125,
-0.07867431640625,
0.002696990966796875,
0.06085205078125,
0.046630859375,
-0.06829833984375,
-0.04351806640625,
-0.00681304931640625,
-0.007106781005859375,
-0.03436279296875,
-0.0166015625,
0.0180816650390625,
-0.029937744140625,
-0.053497314453125,
0.021942138671875,
-0.01812744140625,
0.0303802490234375,
-0.019927978515625,
-0.02032470703125,
-0.0201873779296875,
-0.0022182464599609375,
0.0222320556640625,
0.0362548828125,
-0.029937744140625,
-0.0240020751953125,
-0.0244598388671875,
-0.0213775634765625,
-0.00301361083984375,
0.0217742919921875,
-0.040924072265625,
-0.01171112060546875,
0.025299072265625,
0.005397796630859375,
0.04852294921875,
0.01465606689453125,
0.035552978515625,
-0.025909423828125,
0.0305328369140625,
0.0052947998046875,
0.046844482421875,
0.0184783935546875,
-0.019439697265625,
0.037384033203125,
0.0305938720703125,
-0.05108642578125,
-0.056060791015625,
0.01142120361328125,
-0.0823974609375,
-0.0239410400390625,
0.10015869140625,
-0.01137542724609375,
-0.040679931640625,
-0.0032062530517578125,
-0.04473876953125,
0.027740478515625,
-0.045562744140625,
0.045166015625,
0.04815673828125,
-0.01068878173828125,
-0.01727294921875,
-0.0258026123046875,
0.048736572265625,
-0.006343841552734375,
-0.039093017578125,
-0.0162506103515625,
0.044891357421875,
0.024627685546875,
0.0067596435546875,
0.046234130859375,
-0.000576019287109375,
0.0277252197265625,
0.0301513671875,
0.0184326171875,
0.00740814208984375,
-0.0233917236328125,
-0.030487060546875,
0.005603790283203125,
-0.017822265625,
-0.0030841827392578125
]
] |
adutchscotsman/ppo-LunarLander-v2 | 2023-09-28T20:38:58.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | adutchscotsman | null | null | adutchscotsman/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-09-28T20:38:37 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 274.15 +/- 16.90
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 784 | [
[
-0.00023484230041503906,
-0.02716064453125,
0.017059326171875,
0.023345947265625,
-0.00606536865234375,
0.002735137939453125,
0.034454345703125,
-0.012115478515625,
0.019866943359375,
0.06500244140625,
-0.043212890625,
-0.035247802734375,
-0.0343017578125,
-0.01922607421875,
0.0017528533935546875,
0.06982421875,
0.0015935897827148438,
0.028167724609375,
0.00954437255859375,
-0.00704193115234375,
-0.018341064453125,
-0.0218658447265625,
-0.05206298828125,
-0.07147216796875,
0.011993408203125,
0.050201416015625,
0.054229736328125,
0.0242462158203125,
0.028106689453125,
0.0292205810546875,
-0.0176849365234375,
-0.0322265625,
-0.04132080078125,
-0.0012683868408203125,
-0.000614166259765625,
-0.044403076171875,
-0.0633544921875,
0.01415252685546875,
0.03961181640625,
0.004047393798828125,
-0.0198822021484375,
0.004917144775390625,
-0.0282745361328125,
0.031097412109375,
-0.037567138671875,
0.015777587890625,
-0.01535797119140625,
0.0017938613891601562,
0.007350921630859375,
0.01081085205078125,
-0.0259246826171875,
-0.00986480712890625,
0.020660400390625,
-0.0906982421875,
-0.00533294677734375,
-0.021514892578125,
0.09295654296875,
0.0093994140625,
-0.037994384765625,
0.0011854171752929688,
-0.0190277099609375,
0.034088134765625,
-0.027191162109375,
0.0103607177734375,
0.049163818359375,
0.036163330078125,
0.0031528472900390625,
-0.06915283203125,
-0.016387939453125,
-0.032623291015625,
0.0010671615600585938,
0.0316162109375,
0.0154876708984375,
0.0167236328125,
0.0150146484375,
0.0107574462890625,
-0.0240478515625,
0.0241241455078125,
-0.04608154296875,
-0.0239410400390625,
0.0355224609375,
0.0182342529296875,
0.00534820556640625,
-0.00782012939453125,
-0.03533935546875,
-0.01183319091796875,
-0.03143310546875,
0.0230560302734375,
0.0303955078125,
0.0128326416015625,
-0.05889892578125,
0.0657958984375,
-0.019073486328125,
0.031524658203125,
0.0303192138671875,
-0.0003750324249267578,
0.0487060546875,
0.0093994140625,
-0.00792694091796875,
-0.025970458984375,
0.039337158203125,
0.0675048828125,
0.00406646728515625,
0.005634307861328125,
-0.03369140625,
-0.018798828125,
0.0120391845703125,
-0.055511474609375,
-0.024932861328125,
0.03375244140625,
-0.01983642578125,
-0.048797607421875,
0.0350341796875,
-0.0418701171875,
-0.02508544921875,
-0.0006508827209472656,
0.0272216796875,
-0.04718017578125,
-0.041290283203125,
0.0043487548828125,
-0.032470703125,
0.050048828125,
0.00983428955078125,
-0.06329345703125,
0.0309295654296875,
0.04852294921875,
0.0660400390625,
0.041259765625,
-0.0479736328125,
-0.0491943359375,
0.0135040283203125,
-0.031494140625,
0.05523681640625,
0.0172576904296875,
-0.03375244140625,
0.02178955078125,
0.0003981590270996094,
0.01496124267578125,
-0.03570556640625,
0.0181732177734375,
-0.032989501953125,
0.02069091796875,
0.006561279296875,
-0.0308990478515625,
-0.0007753372192382812,
0.03253173828125,
-0.04571533203125,
0.0982666015625,
0.060394287109375,
-0.0399169921875,
0.0259857177734375,
-0.046173095703125,
-0.005298614501953125,
0.036407470703125,
0.017578125,
-0.05078125,
-0.0019855499267578125,
-0.0310516357421875,
0.01300811767578125,
0.004825592041015625,
0.003040313720703125,
-0.02630615234375,
-0.0268402099609375,
0.0055084228515625,
0.0567626953125,
0.06378173828125,
0.015625,
-0.002384185791015625,
0.0144195556640625,
-0.043670654296875,
-0.00995635986328125,
0.00634765625,
-0.0202789306640625,
-0.0110321044921875,
-0.0171661376953125,
0.037567138671875,
0.0171051025390625,
0.034027099609375,
-0.034393310546875,
0.0357666015625,
-0.039306640625,
0.014068603515625,
0.0498046875,
-0.00911712646484375,
0.055999755859375,
-0.0478515625,
0.023529052734375,
-0.01238250732421875,
0.0191497802734375,
0.01395416259765625,
-0.0253143310546875,
-0.045684814453125,
-0.036285400390625,
-0.002056121826171875,
0.058013916015625,
-0.08660888671875,
0.04913330078125,
0.015625,
-0.0548095703125,
-0.014678955078125,
-0.01074981689453125,
0.03643798828125,
0.018890380859375,
0.003299713134765625,
-0.006404876708984375,
-0.042510986328125,
-0.060699462890625,
0.017333984375,
-0.04833984375,
-0.01690673828125,
0.00007045269012451172,
0.047637939453125,
-0.0242462158203125,
0.058746337890625,
-0.0262603759765625,
-0.0253448486328125,
-0.02288818359375,
0.01381683349609375,
0.019866943359375,
0.053558349609375,
0.06768798828125,
-0.041107177734375,
-0.03668212890625,
-0.0190582275390625,
-0.063232421875,
-0.0302581787109375,
0.01092529296875,
-0.01129150390625,
0.0008001327514648438,
0.0238800048828125,
-0.055023193359375,
0.00653076171875,
0.04254150390625,
-0.07159423828125,
0.051513671875,
-0.02630615234375,
-0.00007575750350952148,
-0.09185791015625,
0.01305389404296875,
0.0162200927734375,
-0.024261474609375,
-0.055511474609375,
0.0236968994140625,
0.01108551025390625,
-0.004302978515625,
-0.050994873046875,
0.064453125,
-0.037841796875,
0.0016231536865234375,
-0.03228759765625,
-0.00919342041015625,
-0.01050567626953125,
-0.0042266845703125,
0.0018405914306640625,
0.04364013671875,
0.0792236328125,
-0.0303955078125,
0.0430908203125,
0.04290771484375,
0.00759124755859375,
0.053436279296875,
-0.042633056640625,
0.008880615234375,
-0.0184478759765625,
0.0185546875,
-0.045166015625,
-0.04400634765625,
0.042388916015625,
-0.035675048828125,
0.0223541259765625,
-0.0321044921875,
-0.0238037109375,
-0.03369140625,
-0.04229736328125,
0.0134735107421875,
0.043975830078125,
-0.0208282470703125,
0.05322265625,
0.048980712890625,
0.0081024169921875,
-0.03924560546875,
-0.03070068359375,
-0.013458251953125,
-0.0196685791015625,
-0.0293731689453125,
0.032073974609375,
0.0093994140625,
-0.03436279296875,
-0.0156097412109375,
0.002529144287109375,
-0.0149383544921875,
0.006168365478515625,
0.033355712890625,
0.028564453125,
-0.00170135498046875,
-0.020263671875,
-0.028594970703125,
-0.049652099609375,
-0.01038360595703125,
-0.010589599609375,
0.047271728515625,
-0.0190277099609375,
0.0263824462890625,
-0.059112548828125,
-0.00348663330078125,
0.052276611328125,
0.0176239013671875,
0.05859375,
0.0303192138671875,
-0.0380859375,
-0.00710296630859375,
-0.0239410400390625,
-0.01154327392578125,
-0.03826904296875,
0.03167724609375,
-0.0396728515625,
-0.0400390625,
0.050628662109375,
0.00003361701965332031,
-0.02642822265625,
0.041748046875,
0.040374755859375,
-0.0056915283203125,
0.04656982421875,
0.06878662109375,
-0.00760650634765625,
0.05059814453125,
-0.04931640625,
-0.046417236328125,
-0.053619384765625,
-0.0423583984375,
-0.0268096923828125,
0.0167999267578125,
-0.028533935546875,
-0.0178985595703125,
0.0093231201171875,
0.032196044921875,
-0.0533447265625,
0.06182861328125,
-0.030059814453125,
0.042510986328125,
0.0406494140625,
0.01081085205078125,
-0.0193634033203125,
-0.038116455078125,
-0.00330352783203125,
0.0158538818359375,
-0.0232696533203125,
-0.0380859375,
0.06817626953125,
0.039703369140625,
0.052459716796875,
0.005001068115234375,
0.044830322265625,
0.006404876708984375,
0.04473876953125,
-0.038604736328125,
0.033782958984375,
-0.0123138427734375,
-0.06317138671875,
-0.008209228515625,
-0.022186279296875,
-0.052886962890625,
0.0129852294921875,
-0.030487060546875,
-0.0665283203125,
-0.011749267578125,
0.006420135498046875,
-0.0196990966796875,
0.005298614501953125,
-0.03704833984375,
0.07135009765625,
-0.0242767333984375,
-0.02435302734375,
0.0106048583984375,
-0.04791259765625,
0.0185089111328125,
0.0135040283203125,
-0.003620147705078125,
-0.02490234375,
-0.0181427001953125,
0.050048828125,
-0.032958984375,
0.043701171875,
-0.057586669921875,
0.013031005859375,
0.0166015625,
0.00891876220703125,
0.0274810791015625,
0.031951904296875,
-0.0117034912109375,
0.001331329345703125,
0.00582122802734375,
-0.052276611328125,
-0.0032062530517578125,
0.031219482421875,
-0.09857177734375,
-0.0046539306640625,
-0.057861328125,
-0.02325439453125,
0.0090179443359375,
0.020111083984375,
0.03948974609375,
0.00940704345703125,
-0.0279998779296875,
0.00021457672119140625,
0.0059661865234375,
0.00882720947265625,
0.01517486572265625,
0.0614013671875,
-0.035797119140625,
-0.061126708984375,
0.0298919677734375,
0.0017242431640625,
-0.0007538795471191406,
0.0221099853515625,
0.00569915771484375,
-0.0225372314453125,
-0.042083740234375,
-0.0098419189453125,
0.0309600830078125,
-0.0251007080078125,
-0.0134429931640625,
-0.0113525390625,
-0.0227508544921875,
-0.0256500244140625,
-0.0291290283203125,
-0.046112060546875,
-0.0204315185546875,
-0.0330810546875,
-0.0225067138671875,
0.0256195068359375,
0.0499267578125,
-0.03021240234375,
0.08660888671875,
-0.034942626953125,
0.03338623046875,
0.010040283203125,
0.04132080078125,
-0.058624267578125,
-0.0338134765625,
-0.026611328125,
-0.0174560546875,
-0.03155517578125,
-0.06683349609375,
0.03271484375,
-0.016204833984375,
0.05377197265625,
0.028167724609375,
-0.010833740234375,
0.0254974365234375,
-0.01161956787109375,
0.055572509765625,
0.033355712890625,
-0.0716552734375,
0.0283355712890625,
-0.051239013671875,
0.0092010498046875,
0.062469482421875,
0.0146331787109375,
-0.01800537109375,
-0.0259246826171875,
-0.0601806640625,
-0.06903076171875,
0.08331298828125,
0.03216552734375,
-0.00598907470703125,
0.0221099853515625,
0.055267333984375,
-0.00547027587890625,
0.00682830810546875,
-0.06524658203125,
-0.0196380615234375,
-0.0264129638671875,
-0.01265716552734375,
-0.0196990966796875,
-0.01195526123046875,
-0.0140533447265625,
0.00411224365234375,
0.06378173828125,
-0.01079559326171875,
0.0202789306640625,
0.00621795654296875,
-0.00850677490234375,
-0.0304107666015625,
-0.03729248046875,
0.0280609130859375,
0.0230560302734375,
-0.06353759765625,
-0.015655517578125,
0.0036869049072265625,
-0.040679931640625,
0.0256195068359375,
0.043426513671875,
-0.0190887451171875,
-0.0178985595703125,
0.0283050537109375,
0.050506591796875,
0.0111541748046875,
-0.0197296142578125,
0.046356201171875,
0.00817108154296875,
-0.034820556640625,
-0.053619384765625,
0.002925872802734375,
-0.0061492919921875,
0.037261962890625,
0.0201873779296875,
0.01031494140625,
-0.0091552734375,
-0.036956787109375,
0.0302734375,
0.0177154541015625,
-0.050048828125,
-0.03607177734375,
0.061126708984375,
0.02532958984375,
-0.05633544921875,
0.044830322265625,
-0.007259368896484375,
-0.03973388671875,
0.06695556640625,
0.031707763671875,
0.0650634765625,
-0.0257415771484375,
0.032989501953125,
0.033935546875,
0.01325225830078125,
-0.0251007080078125,
0.04010009765625,
0.0201568603515625,
-0.07379150390625,
-0.0159454345703125,
-0.01184844970703125,
-0.0523681640625,
0.0155181884765625,
-0.04449462890625,
0.041534423828125,
-0.043975830078125,
-0.03485107421875,
0.0029296875,
0.020721435546875,
-0.0294036865234375,
-0.00514984130859375,
0.0255126953125,
0.0943603515625,
-0.06097412109375,
0.07122802734375,
0.07159423828125,
-0.037261962890625,
-0.03826904296875,
-0.0018377304077148438,
0.02777099609375,
-0.058074951171875,
0.040618896484375,
0.032196044921875,
0.003887176513671875,
0.0096893310546875,
-0.054443359375,
-0.048919677734375,
0.10089111328125,
0.01378631591796875,
-0.003082275390625,
0.0163116455078125,
-0.0151824951171875,
0.0469970703125,
-0.0406494140625,
0.037139892578125,
0.02362060546875,
0.035797119140625,
0.01329803466796875,
-0.0660400390625,
-0.0251312255859375,
-0.03375244140625,
-0.008575439453125,
-0.00312042236328125,
-0.07568359375,
0.08154296875,
0.002880096435546875,
0.0245208740234375,
0.063720703125,
0.03436279296875,
0.055877685546875,
0.0192413330078125,
0.03668212890625,
0.042572021484375,
0.01947021484375,
-0.01904296875,
0.061492919921875,
-0.0224151611328125,
0.0650634765625,
0.050537109375,
-0.05926513671875,
0.038970947265625,
0.0203399658203125,
0.007175445556640625,
0.0357666015625,
0.045928955078125,
-0.01399993896484375,
0.056671142578125,
0.0138092041015625,
-0.0086822509765625,
-0.006305694580078125,
0.0308990478515625,
-0.0193328857421875,
0.033355712890625,
0.01335906982421875,
0.0003542900085449219,
-0.006134033203125,
-0.0013151168823242188,
0.002819061279296875,
-0.00335693359375,
-0.031707763671875,
0.069580078125,
-0.01198577880859375,
-0.047821044921875,
0.031982421875,
0.02423095703125,
0.043548583984375,
-0.062042236328125,
-0.002262115478515625,
-0.01031494140625,
0.04559326171875,
0.00061798095703125,
-0.07171630859375,
-0.002323150634765625,
-0.01418304443359375,
0.00791168212890625,
-0.0176239013671875,
0.0518798828125,
-0.01438140869140625,
-0.020263671875,
0.057403564453125,
0.025238037109375,
0.0025386810302734375,
0.01580810546875,
-0.07073974609375,
-0.012908935546875,
-0.03497314453125,
-0.037933349609375,
0.0160980224609375,
0.020965576171875,
0.0240478515625,
0.0531005859375,
0.03228759765625,
-0.0011396408081054688,
-0.0248565673828125,
-0.00730133056640625,
0.06878662109375,
-0.048065185546875,
-0.05230712890625,
-0.03375244140625,
0.0780029296875,
-0.02264404296875,
-0.06005859375,
0.034332275390625,
0.06951904296875,
0.03912353515625,
-0.0216827392578125,
0.03887939453125,
-0.01435089111328125,
0.0220184326171875,
-0.03253173828125,
0.05548095703125,
-0.0188140869140625,
-0.0088653564453125,
-0.0093231201171875,
-0.051300048828125,
-0.034759521484375,
0.06915283203125,
-0.0013580322265625,
-0.004581451416015625,
0.019775390625,
0.053680419921875,
0.0025920867919921875,
-0.02288818359375,
0.015716552734375,
0.0411376953125,
0.0057373046875,
0.0283355712890625,
0.0706787109375,
-0.04681396484375,
0.01110076904296875,
-0.039215087890625,
-0.05157470703125,
-0.0189971923828125,
-0.0458984375,
-0.07586669921875,
-0.03143310546875,
-0.0186614990234375,
-0.0701904296875,
0.0158843994140625,
0.062469482421875,
0.0736083984375,
-0.048187255859375,
-0.05084228515625,
-0.0162353515625,
-0.00771331787109375,
-0.01080322265625,
-0.0127105712890625,
0.00746917724609375,
-0.004177093505859375,
-0.04766845703125,
0.018707275390625,
-0.0023746490478515625,
0.0282440185546875,
0.0008997917175292969,
-0.044219970703125,
-0.01312255859375,
-0.02362060546875,
0.0187835693359375,
0.036895751953125,
-0.0216217041015625,
-0.028900146484375,
-0.009124755859375,
-0.0176544189453125,
0.0026683807373046875,
0.036346435546875,
-0.047332763671875,
0.004730224609375,
0.0296173095703125,
-0.0267791748046875,
0.06414794921875,
0.01155853271484375,
0.042236328125,
-0.03948974609375,
0.047149658203125,
0.01861572265625,
0.030487060546875,
0.0151214599609375,
-0.01531219482421875,
0.0484619140625,
0.0268096923828125,
-0.050048828125,
-0.048309326171875,
0.0116729736328125,
-0.08441162109375,
-0.01611328125,
0.08331298828125,
0.0007581710815429688,
-0.01366424560546875,
-0.004764556884765625,
-0.040985107421875,
0.0175018310546875,
-0.033721923828125,
0.036834716796875,
0.035797119140625,
-0.0041961669921875,
-0.02685546875,
-0.0274810791015625,
0.033294677734375,
-0.01068115234375,
-0.044677734375,
-0.029266357421875,
0.034912109375,
0.0321044921875,
0.021820068359375,
0.0675048828125,
-0.01039886474609375,
0.0311431884765625,
0.032745361328125,
0.0216217041015625,
-0.01580810546875,
-0.0239105224609375,
-0.03399658203125,
0.0084991455078125,
0.00803375244140625,
-0.00995635986328125
]
] |
Alwaly/french | 2023-09-28T22:13:49.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | Alwaly | null | null | Alwaly/french | 0 | 2 | transformers | 2023-09-28T22:07:30 | ---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: french
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# french
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 6
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 12
### Training results
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
| 1,098 | [
[
-0.0311737060546875,
-0.0531005859375,
0.0108642578125,
0.0211639404296875,
-0.02197265625,
-0.032806396484375,
-0.0178070068359375,
-0.0249481201171875,
0.0162200927734375,
0.03436279296875,
-0.061126708984375,
-0.0443115234375,
-0.045501708984375,
-0.004070281982421875,
-0.0229644775390625,
0.08154296875,
0.0004820823669433594,
0.029937744140625,
-0.011566162109375,
-0.007232666015625,
-0.021026611328125,
-0.041259765625,
-0.0758056640625,
-0.05517578125,
0.0263214111328125,
0.023101806640625,
0.05267333984375,
0.06707763671875,
0.03875732421875,
0.0198822021484375,
-0.020965576171875,
-0.01214599609375,
-0.051422119140625,
-0.034820556640625,
-0.00937652587890625,
-0.02081298828125,
-0.06488037109375,
0.003406524658203125,
0.043853759765625,
0.0232086181640625,
-0.0160980224609375,
0.0465087890625,
0.006587982177734375,
0.0372314453125,
-0.0244903564453125,
0.035888671875,
-0.03277587890625,
0.0194244384765625,
0.0011425018310546875,
-0.0234832763671875,
-0.0211944580078125,
-0.003993988037109375,
-0.00838470458984375,
-0.03961181640625,
0.042022705078125,
-0.0184478759765625,
0.085205078125,
0.0178375244140625,
-0.02056884765625,
0.0146942138671875,
-0.07196044921875,
0.0367431640625,
-0.05029296875,
0.0309906005859375,
0.03802490234375,
0.042266845703125,
0.00191497802734375,
-0.06243896484375,
-0.022247314453125,
-0.0010242462158203125,
0.0120849609375,
0.0159149169921875,
-0.01145172119140625,
0.002716064453125,
0.05889892578125,
0.0125732421875,
-0.0400390625,
0.01044464111328125,
-0.04986572265625,
-0.0246429443359375,
0.0615234375,
0.021026611328125,
-0.00600433349609375,
-0.006450653076171875,
-0.02191162109375,
-0.0170440673828125,
-0.0162811279296875,
0.024017333984375,
0.0423583984375,
0.031585693359375,
-0.0469970703125,
0.05078125,
-0.0275115966796875,
0.058807373046875,
0.00043392181396484375,
-0.013214111328125,
0.04864501953125,
0.004276275634765625,
-0.0211944580078125,
-0.013824462890625,
0.0675048828125,
0.04656982421875,
0.032501220703125,
0.003002166748046875,
-0.0284881591796875,
-0.004749298095703125,
0.018463134765625,
-0.06341552734375,
-0.0345458984375,
0.00567626953125,
-0.045684814453125,
-0.0369873046875,
0.0024738311767578125,
-0.0369873046875,
0.0236053466796875,
-0.042327880859375,
0.04571533203125,
-0.025543212890625,
-0.011688232421875,
0.0032711029052734375,
-0.006622314453125,
0.0176544189453125,
0.01092529296875,
-0.053558349609375,
0.029144287109375,
0.0206298828125,
0.0305633544921875,
0.0194549560546875,
-0.020904541015625,
-0.0285186767578125,
0.005313873291015625,
-0.02081298828125,
0.046142578125,
-0.01094818115234375,
-0.0438232421875,
-0.0004968643188476562,
0.0246124267578125,
-0.004459381103515625,
-0.03179931640625,
0.07562255859375,
-0.01482391357421875,
0.01390838623046875,
-0.022979736328125,
-0.04766845703125,
-0.01422882080078125,
0.01065826416015625,
-0.055450439453125,
0.0914306640625,
0.0157928466796875,
-0.041351318359375,
0.03436279296875,
-0.045166015625,
-0.0268096923828125,
0.0089874267578125,
-0.010772705078125,
-0.049407958984375,
-0.00731658935546875,
0.007335662841796875,
0.043182373046875,
-0.0075225830078125,
0.00846099853515625,
-0.039581298828125,
-0.038330078125,
0.004245758056640625,
-0.033538818359375,
0.04083251953125,
0.0160369873046875,
-0.0166473388671875,
0.00878143310546875,
-0.100830078125,
0.02294921875,
0.0246429443359375,
-0.041290283203125,
0.0236663818359375,
-0.0213470458984375,
0.052337646484375,
0.0362548828125,
0.031097412109375,
-0.043609619140625,
0.001995086669921875,
-0.022216796875,
0.0248260498046875,
0.039093017578125,
0.007160186767578125,
0.0017690658569335938,
-0.034881591796875,
0.017913818359375,
-0.0034351348876953125,
0.039337158203125,
0.019195556640625,
-0.033203125,
-0.048797607421875,
-0.0214080810546875,
0.01380157470703125,
0.03302001953125,
-0.01396942138671875,
0.05322265625,
-0.00374603271484375,
-0.056610107421875,
-0.01806640625,
0.0263671875,
0.0264892578125,
0.036102294921875,
0.042816162109375,
-0.00962066650390625,
-0.0243682861328125,
-0.086181640625,
-0.00975799560546875,
0.007137298583984375,
0.01220703125,
0.03265380859375,
0.050537109375,
-0.016326904296875,
0.05596923828125,
-0.0306396484375,
-0.004974365234375,
-0.0206298828125,
0.0007481575012207031,
0.0272369384765625,
0.061920166015625,
0.059814453125,
-0.037445068359375,
-0.0237579345703125,
-0.02069091796875,
-0.055450439453125,
0.0134124755859375,
-0.0085296630859375,
-0.0189666748046875,
-0.00730133056640625,
0.0362548828125,
-0.038482666015625,
0.0499267578125,
0.01629638671875,
-0.0138092041015625,
0.02862548828125,
-0.03045654296875,
-0.0169525146484375,
-0.08746337890625,
0.01102447509765625,
0.035125732421875,
-0.0198822021484375,
-0.02056884765625,
-0.00846099853515625,
0.01245880126953125,
-0.01934814453125,
-0.040313720703125,
0.046966552734375,
-0.0109100341796875,
0.013641357421875,
-0.0229034423828125,
-0.01486968994140625,
-0.0011844635009765625,
0.050689697265625,
0.0135040283203125,
0.0243988037109375,
0.057861328125,
-0.050079345703125,
0.034149169921875,
0.041778564453125,
-0.0135040283203125,
0.033294677734375,
-0.07366943359375,
0.01224517822265625,
0.0007777214050292969,
0.006687164306640625,
-0.056915283203125,
-0.0276641845703125,
0.037139892578125,
-0.04095458984375,
0.03167724609375,
-0.01255035400390625,
-0.039276123046875,
-0.043609619140625,
0.00641632080078125,
0.03411865234375,
0.043182373046875,
-0.044097900390625,
0.032135009765625,
-0.005863189697265625,
0.029052734375,
-0.0265655517578125,
-0.053436279296875,
-0.02288818359375,
0.00021886825561523438,
-0.033416748046875,
0.005336761474609375,
-0.00577545166015625,
0.018280029296875,
0.003360748291015625,
-0.0188140869140625,
-0.01464080810546875,
-0.0159149169921875,
0.0298309326171875,
0.0168304443359375,
-0.004749298095703125,
-0.00846099853515625,
0.000949859619140625,
-0.01934814453125,
0.022003173828125,
-0.007259368896484375,
0.026336669921875,
0.0088043212890625,
-0.0212554931640625,
-0.0792236328125,
-0.0013933181762695312,
0.033111572265625,
-0.011016845703125,
0.06097412109375,
0.0670166015625,
-0.039825439453125,
-0.01654052734375,
-0.03900146484375,
-0.01861572265625,
-0.032379150390625,
0.043701171875,
-0.03411865234375,
-0.0241546630859375,
0.045684814453125,
-0.0002696514129638672,
-0.00212860107421875,
0.0604248046875,
0.038177490234375,
0.006275177001953125,
0.08587646484375,
0.035614013671875,
-0.004962921142578125,
0.031951904296875,
-0.059234619140625,
-0.004108428955078125,
-0.04522705078125,
-0.037078857421875,
-0.040252685546875,
-0.02056884765625,
-0.05291748046875,
-0.0032787322998046875,
0.0067596435546875,
0.01213836669921875,
-0.0430908203125,
0.039825439453125,
-0.0305938720703125,
0.0274658203125,
0.04412841796875,
0.03533935546875,
-0.0198974609375,
0.0159759521484375,
-0.0162506103515625,
0.0026111602783203125,
-0.061492919921875,
-0.03314208984375,
0.09393310546875,
0.034820556640625,
0.0506591796875,
-0.020782470703125,
0.047760009765625,
-0.004123687744140625,
-0.00566864013671875,
-0.041778564453125,
0.03924560546875,
0.00399017333984375,
-0.0634765625,
-0.010345458984375,
-0.0290374755859375,
-0.045806884765625,
-0.00725555419921875,
-0.04412841796875,
-0.0543212890625,
0.005321502685546875,
0.019073486328125,
-0.0260467529296875,
0.02349853515625,
-0.039764404296875,
0.09344482421875,
-0.018463134765625,
-0.03826904296875,
-0.00980377197265625,
-0.035430908203125,
-0.000274658203125,
0.0028285980224609375,
0.0020694732666015625,
-0.0045623779296875,
0.0208740234375,
0.0682373046875,
-0.041778564453125,
0.05108642578125,
-0.0273284912109375,
0.021728515625,
0.034515380859375,
-0.0138397216796875,
0.046051025390625,
0.01529693603515625,
-0.01012420654296875,
0.0196533203125,
0.0037975311279296875,
-0.053497314453125,
-0.0237579345703125,
0.05340576171875,
-0.08984375,
0.0001493692398071289,
-0.02325439453125,
-0.03924560546875,
-0.01555633544921875,
0.0126953125,
0.053863525390625,
0.05755615234375,
-0.02294921875,
0.020477294921875,
0.02154541015625,
-0.006622314453125,
0.029144287109375,
0.036376953125,
0.0022907257080078125,
-0.036224365234375,
0.0665283203125,
0.0009822845458984375,
0.0135650634765625,
0.004119873046875,
0.00421905517578125,
-0.033355712890625,
-0.0273284912109375,
-0.0177154541015625,
0.0264892578125,
-0.052001953125,
-0.00417327880859375,
-0.033294677734375,
-0.0382080078125,
-0.030914306640625,
0.00196075439453125,
-0.044464111328125,
-0.0245361328125,
-0.0467529296875,
-0.02398681640625,
0.033538818359375,
0.0421142578125,
-0.021392822265625,
0.053009033203125,
-0.05267333984375,
0.0139312744140625,
0.0091094970703125,
0.039520263671875,
-0.0054473876953125,
-0.06640625,
-0.041229248046875,
0.01053619384765625,
-0.0262298583984375,
-0.041839599609375,
0.02423095703125,
0.00070953369140625,
0.053314208984375,
0.040618896484375,
-0.012969970703125,
0.050537109375,
-0.0234832763671875,
0.05364990234375,
0.0223236083984375,
-0.039703369140625,
0.030731201171875,
-0.0305938720703125,
0.018157958984375,
0.04150390625,
0.031585693359375,
0.0026683807373046875,
-0.0105438232421875,
-0.083740234375,
-0.06903076171875,
0.0721435546875,
0.033660888671875,
0.02728271484375,
0.00788116455078125,
0.051544189453125,
-0.01018524169921875,
0.01390838623046875,
-0.065673828125,
-0.044708251953125,
-0.02789306640625,
-0.0106353759765625,
-0.023712158203125,
-0.027740478515625,
-0.01360321044921875,
-0.055023193359375,
0.087158203125,
0.0058441162109375,
0.0220947265625,
0.008056640625,
0.020416259765625,
-0.0350341796875,
-0.01427459716796875,
0.038909912109375,
0.047271728515625,
-0.043853759765625,
-0.033203125,
0.01139068603515625,
-0.0255584716796875,
-0.004337310791015625,
0.0186767578125,
-0.01024627685546875,
0.01145172119140625,
0.0294036865234375,
0.08563232421875,
0.0091094970703125,
-0.00814056396484375,
0.033233642578125,
-0.012420654296875,
-0.044769287109375,
-0.040130615234375,
0.02386474609375,
0.0007801055908203125,
0.02215576171875,
0.00128173828125,
0.03302001953125,
-0.004108428955078125,
-0.004150390625,
0.0198516845703125,
0.0194091796875,
-0.042388916015625,
-0.0248260498046875,
0.075927734375,
0.00670623779296875,
-0.0362548828125,
0.039031982421875,
-0.01519775390625,
-0.002689361572265625,
0.05645751953125,
0.04052734375,
0.06683349609375,
-0.0093536376953125,
0.00888824462890625,
0.07012939453125,
0.014068603515625,
-0.0227203369140625,
0.051025390625,
-0.0019092559814453125,
-0.044097900390625,
-0.01837158203125,
-0.0482177734375,
-0.0117950439453125,
0.050079345703125,
-0.092529296875,
0.042572021484375,
-0.044891357421875,
-0.036163330078125,
0.0240936279296875,
0.00007838010787963867,
-0.08062744140625,
0.04840087890625,
0.006023406982421875,
0.08892822265625,
-0.07666015625,
0.0635986328125,
0.05889892578125,
-0.040771484375,
-0.08746337890625,
-0.00791168212890625,
-0.009185791015625,
-0.058837890625,
0.0462646484375,
0.0020847320556640625,
0.0234832763671875,
0.0118560791015625,
-0.057586669921875,
-0.052001953125,
0.064453125,
0.021026611328125,
-0.05865478515625,
0.0213623046875,
0.01824951171875,
0.05108642578125,
-0.0158233642578125,
0.031982421875,
0.0135040283203125,
0.01611328125,
0.0244140625,
-0.0672607421875,
-0.0162811279296875,
-0.0287933349609375,
0.006866455078125,
-0.004199981689453125,
-0.058135986328125,
0.069091796875,
0.001995086669921875,
0.03155517578125,
0.017059326171875,
0.042572021484375,
-0.002887725830078125,
0.0156097412109375,
0.0186920166015625,
0.058807373046875,
0.032806396484375,
-0.000415802001953125,
0.06787109375,
-0.062225341796875,
0.05615234375,
0.0897216796875,
-0.006622314453125,
0.041900634765625,
0.017852783203125,
-0.0094146728515625,
0.0157623291015625,
0.05816650390625,
-0.036468505859375,
0.02520751953125,
0.00771331787109375,
0.0014286041259765625,
-0.041290283203125,
0.015045166015625,
-0.047210693359375,
0.0306549072265625,
-0.00237274169921875,
-0.0465087890625,
-0.0244293212890625,
-0.0166168212890625,
-0.0028400421142578125,
-0.0026493072509765625,
-0.031707763671875,
0.046722412109375,
-0.01019287109375,
-0.0194244384765625,
0.051971435546875,
0.0172119140625,
0.00951385498046875,
-0.04364013671875,
-0.0021648406982421875,
0.0035800933837890625,
0.0283203125,
-0.0239105224609375,
-0.036346435546875,
0.005672454833984375,
0.0020351409912109375,
-0.02117919921875,
0.00009173154830932617,
0.03424072265625,
-0.021820068359375,
-0.0738525390625,
0.03094482421875,
0.037933349609375,
0.0176239013671875,
-0.000530242919921875,
-0.0848388671875,
-0.009613037109375,
-0.0054931640625,
-0.032989501953125,
0.01275634765625,
0.0259246826171875,
0.01372528076171875,
0.035125732421875,
0.04766845703125,
0.0021686553955078125,
-0.008056640625,
0.024261474609375,
0.06353759765625,
-0.045440673828125,
-0.045654296875,
-0.057861328125,
0.034881591796875,
-0.009735107421875,
-0.0457763671875,
0.051666259765625,
0.07861328125,
0.07501220703125,
-0.0167083740234375,
0.04925537109375,
0.01690673828125,
0.038299560546875,
-0.0281219482421875,
0.038818359375,
-0.0465087890625,
-0.0101776123046875,
-0.03277587890625,
-0.07177734375,
0.00567626953125,
0.059967041015625,
-0.013153076171875,
0.0210418701171875,
0.032501220703125,
0.06439208984375,
-0.0171966552734375,
0.00972747802734375,
0.01715087890625,
0.01154327392578125,
0.00629425048828125,
0.0176239013671875,
0.0235137939453125,
-0.061370849609375,
0.03741455078125,
-0.05450439453125,
-0.0067901611328125,
-0.0012502670288085938,
-0.048828125,
-0.08544921875,
-0.02435302734375,
-0.047210693359375,
-0.047210693359375,
-0.0034961700439453125,
0.081787109375,
0.060272216796875,
-0.060943603515625,
-0.038787841796875,
-0.003749847412109375,
-0.026824951171875,
-0.022491455078125,
-0.014617919921875,
0.0293121337890625,
-0.00981903076171875,
-0.04644775390625,
0.0016326904296875,
-0.0185699462890625,
0.0265655517578125,
0.00716400146484375,
-0.0190277099609375,
-0.00925445556640625,
-0.00922393798828125,
0.0190582275390625,
0.018798828125,
-0.0263519287109375,
-0.0220489501953125,
-0.01338958740234375,
-0.005340576171875,
0.01061248779296875,
0.0173492431640625,
-0.0244140625,
0.0276641845703125,
0.01247406005859375,
0.004337310791015625,
0.059967041015625,
0.0079193115234375,
0.019989013671875,
-0.052978515625,
0.0411376953125,
0.002033233642578125,
0.0297393798828125,
0.007518768310546875,
-0.024688720703125,
0.029205322265625,
0.039459228515625,
-0.039306640625,
-0.05059814453125,
-0.011383056640625,
-0.09027099609375,
0.00603485107421875,
0.10076904296875,
0.0166473388671875,
-0.03558349609375,
0.0272674560546875,
-0.0245208740234375,
0.03692626953125,
-0.033721923828125,
0.0292816162109375,
0.04620361328125,
-0.00827789306640625,
0.01357269287109375,
-0.0625,
0.038970947265625,
-0.00027060508728027344,
-0.02996826171875,
-0.0264892578125,
0.0303497314453125,
0.04779052734375,
-0.0142974853515625,
0.0377197265625,
-0.0089569091796875,
0.025543212890625,
0.00337982177734375,
0.033599853515625,
-0.026611328125,
-0.0211944580078125,
-0.018310546875,
0.0031299591064453125,
-0.0010480880737304688,
-0.0347900390625
]
] |
tylerkiser/ppo-LunarLander-v3 | 2023-09-29T03:26:08.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | tylerkiser | null | null | tylerkiser/ppo-LunarLander-v3 | 0 | 2 | stable-baselines3 | 2023-09-29T03:25:45 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 212.32 +/- 76.57
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 784 | [
[
-0.00020325183868408203,
-0.0271453857421875,
0.0170745849609375,
0.023345947265625,
-0.006069183349609375,
0.0027484893798828125,
0.034454345703125,
-0.0121307373046875,
0.019866943359375,
0.06500244140625,
-0.043182373046875,
-0.035247802734375,
-0.0343017578125,
-0.01922607421875,
0.001735687255859375,
0.06982421875,
0.0015916824340820312,
0.0281829833984375,
0.00954437255859375,
-0.007076263427734375,
-0.018341064453125,
-0.021881103515625,
-0.052032470703125,
-0.07147216796875,
0.011993408203125,
0.050201416015625,
0.054229736328125,
0.024261474609375,
0.028106689453125,
0.02923583984375,
-0.017669677734375,
-0.0322265625,
-0.04132080078125,
-0.001262664794921875,
-0.0006155967712402344,
-0.044403076171875,
-0.0633544921875,
0.01416015625,
0.03961181640625,
0.0040283203125,
-0.019866943359375,
0.004909515380859375,
-0.0283050537109375,
0.0311126708984375,
-0.037628173828125,
0.0157928466796875,
-0.01535797119140625,
0.0017604827880859375,
0.007343292236328125,
0.01079559326171875,
-0.0259552001953125,
-0.00983428955078125,
0.020660400390625,
-0.0906982421875,
-0.00533294677734375,
-0.0215301513671875,
0.09295654296875,
0.00942230224609375,
-0.03802490234375,
0.0012083053588867188,
-0.019012451171875,
0.034088134765625,
-0.0271759033203125,
0.0103607177734375,
0.049163818359375,
0.03619384765625,
0.0031585693359375,
-0.06915283203125,
-0.016357421875,
-0.0325927734375,
0.0010423660278320312,
0.031646728515625,
0.0155181884765625,
0.0167388916015625,
0.014984130859375,
0.0107269287109375,
-0.024078369140625,
0.0241241455078125,
-0.04608154296875,
-0.0239105224609375,
0.03558349609375,
0.01824951171875,
0.00533294677734375,
-0.0078125,
-0.035308837890625,
-0.0118408203125,
-0.0313720703125,
0.023040771484375,
0.030426025390625,
0.01284027099609375,
-0.058929443359375,
0.06585693359375,
-0.019073486328125,
0.031524658203125,
0.030303955078125,
-0.0003554821014404297,
0.0487060546875,
0.0093994140625,
-0.00791168212890625,
-0.0259857177734375,
0.039337158203125,
0.0675048828125,
0.004058837890625,
0.005626678466796875,
-0.03369140625,
-0.0187835693359375,
0.0120391845703125,
-0.05548095703125,
-0.024932861328125,
0.03375244140625,
-0.019805908203125,
-0.048797607421875,
0.0350341796875,
-0.041778564453125,
-0.02508544921875,
-0.0006732940673828125,
0.0271759033203125,
-0.047210693359375,
-0.041290283203125,
0.004337310791015625,
-0.032470703125,
0.050140380859375,
0.00983428955078125,
-0.06329345703125,
0.030914306640625,
0.04852294921875,
0.0660400390625,
0.041229248046875,
-0.0479736328125,
-0.0491943359375,
0.0135040283203125,
-0.031524658203125,
0.05523681640625,
0.0172882080078125,
-0.033721923828125,
0.02178955078125,
0.0003936290740966797,
0.01497650146484375,
-0.035675048828125,
0.0181732177734375,
-0.032989501953125,
0.02069091796875,
0.006580352783203125,
-0.0308837890625,
-0.000762939453125,
0.03253173828125,
-0.04571533203125,
0.0982666015625,
0.060394287109375,
-0.039886474609375,
0.0260162353515625,
-0.046173095703125,
-0.005283355712890625,
0.036407470703125,
0.017578125,
-0.050689697265625,
-0.0019855499267578125,
-0.0310516357421875,
0.01299285888671875,
0.004795074462890625,
0.0030460357666015625,
-0.0262908935546875,
-0.0268402099609375,
0.005489349365234375,
0.056732177734375,
0.063720703125,
0.01561737060546875,
-0.0023632049560546875,
0.014434814453125,
-0.043670654296875,
-0.0099334716796875,
0.006317138671875,
-0.0202789306640625,
-0.01105499267578125,
-0.01715087890625,
0.037567138671875,
0.0171051025390625,
0.034027099609375,
-0.034393310546875,
0.035736083984375,
-0.039306640625,
0.014068603515625,
0.0498046875,
-0.00911712646484375,
0.05609130859375,
-0.0478515625,
0.023529052734375,
-0.01239013671875,
0.0191497802734375,
0.01395416259765625,
-0.0253143310546875,
-0.045654296875,
-0.036346435546875,
-0.0020618438720703125,
0.0579833984375,
-0.08660888671875,
0.049041748046875,
0.0156097412109375,
-0.054840087890625,
-0.0146942138671875,
-0.01074981689453125,
0.03643798828125,
0.018890380859375,
0.0033092498779296875,
-0.006389617919921875,
-0.042510986328125,
-0.06072998046875,
0.017333984375,
-0.04833984375,
-0.01690673828125,
0.00005334615707397461,
0.047607421875,
-0.02423095703125,
0.058807373046875,
-0.0262451171875,
-0.0253143310546875,
-0.0228729248046875,
0.01383209228515625,
0.019866943359375,
0.053558349609375,
0.06768798828125,
-0.041107177734375,
-0.03668212890625,
-0.01904296875,
-0.063232421875,
-0.0302581787109375,
0.01091766357421875,
-0.01129150390625,
0.0008006095886230469,
0.0239105224609375,
-0.055023193359375,
0.00653076171875,
0.042572021484375,
-0.07159423828125,
0.051513671875,
-0.0263214111328125,
-0.00006830692291259766,
-0.09185791015625,
0.0130462646484375,
0.0162200927734375,
-0.0242919921875,
-0.055511474609375,
0.02374267578125,
0.01108551025390625,
-0.004291534423828125,
-0.050994873046875,
0.064453125,
-0.037841796875,
0.0016241073608398438,
-0.03228759765625,
-0.00922393798828125,
-0.01053619384765625,
-0.004238128662109375,
0.0018434524536132812,
0.04364013671875,
0.0792236328125,
-0.0303955078125,
0.043060302734375,
0.04290771484375,
0.007572174072265625,
0.053436279296875,
-0.042633056640625,
0.008880615234375,
-0.018463134765625,
0.0185546875,
-0.045166015625,
-0.044036865234375,
0.042388916015625,
-0.03570556640625,
0.0223388671875,
-0.032135009765625,
-0.0238037109375,
-0.033660888671875,
-0.04229736328125,
0.0134735107421875,
0.043975830078125,
-0.0208282470703125,
0.05322265625,
0.0489501953125,
0.00812530517578125,
-0.039276123046875,
-0.0307159423828125,
-0.01345062255859375,
-0.0196685791015625,
-0.0293731689453125,
0.032073974609375,
0.009429931640625,
-0.034393310546875,
-0.01560211181640625,
0.002521514892578125,
-0.01495361328125,
0.006198883056640625,
0.033416748046875,
0.0285797119140625,
-0.001712799072265625,
-0.020233154296875,
-0.0285797119140625,
-0.049652099609375,
-0.01038360595703125,
-0.010589599609375,
0.0472412109375,
-0.0189971923828125,
0.0263824462890625,
-0.05908203125,
-0.0034847259521484375,
0.05230712890625,
0.0175933837890625,
0.058624267578125,
0.030303955078125,
-0.0380859375,
-0.007122039794921875,
-0.02392578125,
-0.01154327392578125,
-0.03826904296875,
0.03167724609375,
-0.039703369140625,
-0.0400390625,
0.050628662109375,
0.00003898143768310547,
-0.0264129638671875,
0.041778564453125,
0.040374755859375,
-0.005706787109375,
0.046600341796875,
0.06878662109375,
-0.00760650634765625,
0.050628662109375,
-0.04937744140625,
-0.046478271484375,
-0.053619384765625,
-0.0423583984375,
-0.0268096923828125,
0.0167999267578125,
-0.028533935546875,
-0.017913818359375,
0.00933074951171875,
0.032196044921875,
-0.053375244140625,
0.0618896484375,
-0.030059814453125,
0.042510986328125,
0.0406494140625,
0.01079559326171875,
-0.0193634033203125,
-0.038116455078125,
-0.003299713134765625,
0.0158843994140625,
-0.0232696533203125,
-0.0380859375,
0.0682373046875,
0.039703369140625,
0.052459716796875,
0.00501251220703125,
0.044830322265625,
0.006420135498046875,
0.04473876953125,
-0.038604736328125,
0.033782958984375,
-0.01230621337890625,
-0.06317138671875,
-0.008209228515625,
-0.0222015380859375,
-0.052886962890625,
0.0129852294921875,
-0.030487060546875,
-0.0665283203125,
-0.0117645263671875,
0.006412506103515625,
-0.0196990966796875,
0.005279541015625,
-0.037078857421875,
0.07135009765625,
-0.0242919921875,
-0.0243682861328125,
0.01059722900390625,
-0.04791259765625,
0.0185394287109375,
0.01351165771484375,
-0.0036258697509765625,
-0.02490234375,
-0.018157958984375,
0.050048828125,
-0.032958984375,
0.043701171875,
-0.05755615234375,
0.01303863525390625,
0.0166015625,
0.0089263916015625,
0.0274658203125,
0.031951904296875,
-0.01171112060546875,
0.0013132095336914062,
0.005825042724609375,
-0.052276611328125,
-0.0032367706298828125,
0.031219482421875,
-0.0986328125,
-0.0046539306640625,
-0.057861328125,
-0.02325439453125,
0.009002685546875,
0.02008056640625,
0.03948974609375,
0.00940704345703125,
-0.02801513671875,
0.00020813941955566406,
0.005924224853515625,
0.00885772705078125,
0.0151824951171875,
0.061370849609375,
-0.0357666015625,
-0.061126708984375,
0.0298919677734375,
0.0017232894897460938,
-0.0007510185241699219,
0.0221405029296875,
0.005672454833984375,
-0.0225830078125,
-0.042083740234375,
-0.00984954833984375,
0.03094482421875,
-0.0251312255859375,
-0.01345062255859375,
-0.01134490966796875,
-0.0227508544921875,
-0.025634765625,
-0.0291290283203125,
-0.046112060546875,
-0.02044677734375,
-0.033111572265625,
-0.02252197265625,
0.025604248046875,
0.049957275390625,
-0.03021240234375,
0.08660888671875,
-0.034942626953125,
0.033355712890625,
0.010040283203125,
0.04132080078125,
-0.05865478515625,
-0.033782958984375,
-0.026611328125,
-0.0174560546875,
-0.03155517578125,
-0.06683349609375,
0.03271484375,
-0.0162200927734375,
0.05377197265625,
0.028167724609375,
-0.01082611083984375,
0.025482177734375,
-0.0115966796875,
0.05560302734375,
0.03338623046875,
-0.0716552734375,
0.0283050537109375,
-0.05120849609375,
0.00919342041015625,
0.0625,
0.014617919921875,
-0.0180206298828125,
-0.025909423828125,
-0.060150146484375,
-0.06915283203125,
0.08331298828125,
0.03216552734375,
-0.006000518798828125,
0.0221099853515625,
0.055267333984375,
-0.005458831787109375,
0.006805419921875,
-0.06524658203125,
-0.0196685791015625,
-0.0264129638671875,
-0.0126953125,
-0.019744873046875,
-0.01195526123046875,
-0.014068603515625,
0.004138946533203125,
0.06378173828125,
-0.01081085205078125,
0.020263671875,
0.006206512451171875,
-0.00852203369140625,
-0.0303802490234375,
-0.03729248046875,
0.028045654296875,
0.0230560302734375,
-0.06353759765625,
-0.015655517578125,
0.003692626953125,
-0.040679931640625,
0.0256500244140625,
0.043426513671875,
-0.0190887451171875,
-0.0178985595703125,
0.0283355712890625,
0.050506591796875,
0.0111541748046875,
-0.0197296142578125,
0.04638671875,
0.00818634033203125,
-0.034820556640625,
-0.053619384765625,
0.0029201507568359375,
-0.00614166259765625,
0.03729248046875,
0.020172119140625,
0.0103302001953125,
-0.00917816162109375,
-0.036956787109375,
0.0302581787109375,
0.0177001953125,
-0.050018310546875,
-0.036041259765625,
0.061126708984375,
0.0253143310546875,
-0.05633544921875,
0.044830322265625,
-0.0072479248046875,
-0.03973388671875,
0.06695556640625,
0.031707763671875,
0.0650634765625,
-0.025726318359375,
0.032989501953125,
0.03399658203125,
0.0132598876953125,
-0.025115966796875,
0.04010009765625,
0.0201568603515625,
-0.07379150390625,
-0.015960693359375,
-0.01181793212890625,
-0.0523681640625,
0.01551055908203125,
-0.04449462890625,
0.041534423828125,
-0.043975830078125,
-0.034820556640625,
0.0029125213623046875,
0.020721435546875,
-0.0294342041015625,
-0.005161285400390625,
0.0255584716796875,
0.0943603515625,
-0.06097412109375,
0.07122802734375,
0.07159423828125,
-0.037261962890625,
-0.038238525390625,
-0.0018529891967773438,
0.02777099609375,
-0.058074951171875,
0.04058837890625,
0.032196044921875,
0.0038814544677734375,
0.00968170166015625,
-0.054443359375,
-0.048919677734375,
0.1009521484375,
0.01381683349609375,
-0.0030879974365234375,
0.01629638671875,
-0.01515960693359375,
0.0469970703125,
-0.040618896484375,
0.0372314453125,
0.0236358642578125,
0.035797119140625,
0.0132904052734375,
-0.0660400390625,
-0.0251617431640625,
-0.03369140625,
-0.00858306884765625,
-0.00311279296875,
-0.07586669921875,
0.08154296875,
0.0029087066650390625,
0.0245208740234375,
0.063720703125,
0.034393310546875,
0.055877685546875,
0.0192718505859375,
0.03668212890625,
0.042572021484375,
0.01947021484375,
-0.0190277099609375,
0.0615234375,
-0.0224151611328125,
0.06500244140625,
0.05059814453125,
-0.059234619140625,
0.038970947265625,
0.02032470703125,
0.007198333740234375,
0.035736083984375,
0.045928955078125,
-0.01398468017578125,
0.056671142578125,
0.0138092041015625,
-0.008697509765625,
-0.006328582763671875,
0.0309295654296875,
-0.0193328857421875,
0.033416748046875,
0.01332855224609375,
0.00033736228942871094,
-0.006145477294921875,
-0.0013456344604492188,
0.002788543701171875,
-0.003322601318359375,
-0.031707763671875,
0.06964111328125,
-0.01198577880859375,
-0.047821044921875,
0.031951904296875,
0.0242462158203125,
0.04351806640625,
-0.062042236328125,
-0.00226593017578125,
-0.01030731201171875,
0.04559326171875,
0.0006155967712402344,
-0.07171630859375,
-0.002338409423828125,
-0.01418304443359375,
0.007904052734375,
-0.0176239013671875,
0.051849365234375,
-0.01439666748046875,
-0.0202789306640625,
0.05743408203125,
0.0252685546875,
0.002529144287109375,
0.0158233642578125,
-0.07073974609375,
-0.0129241943359375,
-0.035003662109375,
-0.037933349609375,
0.0160980224609375,
0.020965576171875,
0.0240325927734375,
0.05303955078125,
0.032257080078125,
-0.0011529922485351562,
-0.0248565673828125,
-0.00730133056640625,
0.06878662109375,
-0.048065185546875,
-0.05230712890625,
-0.033721923828125,
0.0780029296875,
-0.02264404296875,
-0.06011962890625,
0.0343017578125,
0.069580078125,
0.03912353515625,
-0.0216827392578125,
0.03887939453125,
-0.01433563232421875,
0.0219879150390625,
-0.03253173828125,
0.05548095703125,
-0.0188140869140625,
-0.00890350341796875,
-0.00931549072265625,
-0.051300048828125,
-0.034759521484375,
0.06903076171875,
-0.0013599395751953125,
-0.00460052490234375,
0.019744873046875,
0.053680419921875,
0.002597808837890625,
-0.0228729248046875,
0.0157470703125,
0.041107177734375,
0.00574493408203125,
0.0283355712890625,
0.07073974609375,
-0.04681396484375,
0.0111083984375,
-0.039154052734375,
-0.05157470703125,
-0.0189971923828125,
-0.0458984375,
-0.07586669921875,
-0.03143310546875,
-0.018646240234375,
-0.0701904296875,
0.0158843994140625,
0.0625,
0.0736083984375,
-0.04815673828125,
-0.050872802734375,
-0.0162506103515625,
-0.00771331787109375,
-0.01081085205078125,
-0.01270294189453125,
0.007465362548828125,
-0.004177093505859375,
-0.04766845703125,
0.01873779296875,
-0.0023860931396484375,
0.0282440185546875,
0.0009174346923828125,
-0.044219970703125,
-0.01311492919921875,
-0.023651123046875,
0.0187835693359375,
0.036834716796875,
-0.0215911865234375,
-0.028900146484375,
-0.0091400146484375,
-0.0176544189453125,
0.0026569366455078125,
0.036376953125,
-0.047332763671875,
0.004726409912109375,
0.0296173095703125,
-0.0267791748046875,
0.06414794921875,
0.0115814208984375,
0.042236328125,
-0.03955078125,
0.047149658203125,
0.018646240234375,
0.030487060546875,
0.01511383056640625,
-0.01529693603515625,
0.04852294921875,
0.02679443359375,
-0.050048828125,
-0.048309326171875,
0.01166534423828125,
-0.08441162109375,
-0.0160980224609375,
0.08331298828125,
0.0007529258728027344,
-0.013641357421875,
-0.004764556884765625,
-0.040985107421875,
0.0175018310546875,
-0.033721923828125,
0.036834716796875,
0.035797119140625,
-0.004161834716796875,
-0.02685546875,
-0.027496337890625,
0.033294677734375,
-0.01068115234375,
-0.044677734375,
-0.02923583984375,
0.034912109375,
0.0321044921875,
0.0218048095703125,
0.0673828125,
-0.010406494140625,
0.0311431884765625,
0.03277587890625,
0.0216064453125,
-0.01580810546875,
-0.0239105224609375,
-0.03399658203125,
0.0084991455078125,
0.00804901123046875,
-0.00997161865234375
]
] |
DamarJati/plastic-recycling-codes | 2023-09-29T11:59:46.000Z | [
"transformers",
"pytorch",
"swin",
"image-classification",
"generated_from_trainer",
"en",
"dataset:imagefolder",
"dataset:aytvill/plastic-recycling-codes",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | DamarJati | null | null | DamarJati/plastic-recycling-codes | 1 | 2 | transformers | 2023-09-29T06:39:18 | ---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
- aytvill/plastic-recycling-codes
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.391304347826087
widget:
- src: >-
https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image1.jpg
example_title: image1.jpg
- src: >-
https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image2.jpg
example_title: image2.jpg
- src: >-
https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image3.jpg
example_title: image3.jpg
language:
- en
pipeline_tag: image-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
More information needed
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-5
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 5 | 1.847501 | 0.260870 |
| 1.9354 | 2.0 | 10 | 1.729485 | 0.333333 |
| 1.9354 | 3.0 | 15 | 1.681863 | 0.391304 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3 | 2,206 | [
[
-0.031402587890625,
-0.036834716796875,
0.00876617431640625,
0.0174407958984375,
-0.0262603759765625,
-0.03271484375,
-0.003887176513671875,
-0.0145111083984375,
0.0045928955078125,
0.022918701171875,
-0.047943115234375,
-0.0482177734375,
-0.044647216796875,
-0.005931854248046875,
-0.0173187255859375,
0.0894775390625,
-0.0000756382942199707,
0.03289794921875,
-0.011077880859375,
0.00395965576171875,
-0.02801513671875,
-0.045318603515625,
-0.0653076171875,
-0.051025390625,
0.01473236083984375,
0.0116424560546875,
0.046234130859375,
0.073486328125,
0.0443115234375,
0.01812744140625,
-0.02911376953125,
-0.015350341796875,
-0.0298919677734375,
-0.032379150390625,
0.0030670166015625,
-0.03765869140625,
-0.0662841796875,
0.00415802001953125,
0.05517578125,
0.018157958984375,
-0.01947021484375,
0.048309326171875,
0.004962921142578125,
0.03302001953125,
-0.039947509765625,
0.031402587890625,
-0.0279083251953125,
0.03143310546875,
-0.01450347900390625,
-0.031829833984375,
-0.0200958251953125,
-0.0025882720947265625,
-0.0020198822021484375,
-0.041351318359375,
0.04144287109375,
-0.0081329345703125,
0.0906982421875,
0.025299072265625,
-0.01861572265625,
0.00792694091796875,
-0.059112548828125,
0.036651611328125,
-0.0548095703125,
0.01531219482421875,
0.033935546875,
0.037353515625,
0.0167694091796875,
-0.057464599609375,
-0.0406494140625,
0.0031719207763671875,
-0.0007357597351074219,
0.01605224609375,
-0.006511688232421875,
0.0077972412109375,
0.0662841796875,
0.028472900390625,
-0.03857421875,
0.0172882080078125,
-0.041748046875,
-0.0195159912109375,
0.051788330078125,
0.050018310546875,
-0.01029205322265625,
-0.01551055908203125,
-0.034454345703125,
-0.01702880859375,
-0.0174713134765625,
0.0225372314453125,
0.051910400390625,
0.01187896728515625,
-0.034942626953125,
0.04705810546875,
-0.0215606689453125,
0.04510498046875,
0.00109100341796875,
-0.025543212890625,
0.050018310546875,
0.00075531005859375,
-0.0328369140625,
-0.00948333740234375,
0.0640869140625,
0.05145263671875,
0.00884246826171875,
0.017364501953125,
-0.0219879150390625,
-0.016815185546875,
0.0201416015625,
-0.0657958984375,
-0.0221099853515625,
0.01171875,
-0.053802490234375,
-0.048004150390625,
0.0116729736328125,
-0.05462646484375,
0.004718780517578125,
-0.0280609130859375,
0.024444580078125,
-0.0168304443359375,
-0.01523590087890625,
-0.0001125335693359375,
-0.016448974609375,
0.030303955078125,
0.01334381103515625,
-0.06109619140625,
0.0287933349609375,
0.0264129638671875,
0.0341796875,
0.01207733154296875,
-0.030609130859375,
-0.007549285888671875,
0.01113128662109375,
-0.0193634033203125,
0.035797119140625,
-0.0028018951416015625,
-0.03643798828125,
-0.00893402099609375,
0.0176544189453125,
-0.016754150390625,
-0.032958984375,
0.06292724609375,
-0.022369384765625,
0.0181884765625,
-0.01457977294921875,
-0.038909912109375,
-0.01506805419921875,
0.032257080078125,
-0.046234130859375,
0.09576416015625,
0.002780914306640625,
-0.060943603515625,
0.03778076171875,
-0.0439453125,
-0.00402069091796875,
0.007541656494140625,
-0.01800537109375,
-0.06396484375,
-0.005985260009765625,
0.005794525146484375,
0.0377197265625,
-0.0200958251953125,
0.0234375,
-0.020416259765625,
-0.032989501953125,
0.00337982177734375,
-0.0491943359375,
0.05889892578125,
0.00966644287109375,
-0.0343017578125,
0.00872039794921875,
-0.0975341796875,
0.00963592529296875,
0.028411865234375,
-0.044097900390625,
0.0190887451171875,
-0.025543212890625,
0.03277587890625,
0.019256591796875,
0.0264739990234375,
-0.039825439453125,
0.006450653076171875,
-0.0186920166015625,
0.01491546630859375,
0.052459716796875,
0.0037078857421875,
0.0003256797790527344,
-0.0279083251953125,
0.028594970703125,
0.0184783935546875,
0.029998779296875,
0.009857177734375,
-0.036346435546875,
-0.07220458984375,
-0.0095367431640625,
0.0111236572265625,
0.03485107421875,
-0.01837158203125,
0.05682373046875,
-0.00704193115234375,
-0.057373046875,
-0.007171630859375,
0.0025234222412109375,
0.0325927734375,
0.05865478515625,
0.033203125,
-0.0106353759765625,
-0.0283050537109375,
-0.078857421875,
0.004619598388671875,
-0.00862884521484375,
0.0123291015625,
0.0163116455078125,
0.059234619140625,
-0.004245758056640625,
0.056793212890625,
-0.0501708984375,
-0.01317596435546875,
-0.01030731201171875,
0.00290679931640625,
0.02801513671875,
0.06365966796875,
0.052032470703125,
-0.02783203125,
-0.0176544189453125,
-0.021270751953125,
-0.0616455078125,
0.03253173828125,
-0.0164031982421875,
-0.0219879150390625,
-0.01021575927734375,
0.0214691162109375,
-0.04217529296875,
0.06903076171875,
0.0108184814453125,
-0.0216064453125,
0.062042236328125,
-0.037933349609375,
-0.00891876220703125,
-0.08477783203125,
0.0215911865234375,
0.017822265625,
-0.0016231536865234375,
-0.0235137939453125,
-0.00400543212890625,
0.0095977783203125,
-0.0193939208984375,
-0.034393310546875,
0.045379638671875,
-0.00975799560546875,
0.0127716064453125,
-0.008087158203125,
-0.031829833984375,
0.00583648681640625,
0.05389404296875,
0.0207366943359375,
0.0338134765625,
0.04620361328125,
-0.04315185546875,
0.032806396484375,
0.039215087890625,
-0.01284027099609375,
0.040771484375,
-0.0654296875,
0.0071868896484375,
-0.003353118896484375,
0.0044708251953125,
-0.057525634765625,
-0.0201568603515625,
0.039093017578125,
-0.03863525390625,
0.0173187255859375,
-0.01666259765625,
-0.03076171875,
-0.03662109375,
-0.0003979206085205078,
0.026031494140625,
0.038177490234375,
-0.03900146484375,
0.038116455078125,
-0.01187896728515625,
0.034942626953125,
-0.04547119140625,
-0.056365966796875,
-0.0237274169921875,
-0.0154571533203125,
-0.0220184326171875,
0.008697509765625,
-0.004352569580078125,
0.0098419189453125,
-0.0030460357666015625,
0.0000807642936706543,
-0.0236663818359375,
-0.006366729736328125,
0.028533935546875,
0.0257568359375,
-0.01071929931640625,
-0.0030345916748046875,
-0.00460052490234375,
-0.02325439453125,
0.0322265625,
0.004093170166015625,
0.03521728515625,
0.0010328292846679688,
-0.031463623046875,
-0.076904296875,
-0.0031719207763671875,
0.03643798828125,
-0.01183319091796875,
0.07293701171875,
0.065185546875,
-0.04559326171875,
0.0013017654418945312,
-0.039031982421875,
-0.007686614990234375,
-0.029052734375,
0.040557861328125,
-0.038604736328125,
-0.0041961669921875,
0.0572509765625,
0.01070404052734375,
0.007080078125,
0.072021484375,
0.038726806640625,
0.00433349609375,
0.08404541015625,
0.015838623046875,
0.001049041748046875,
0.02294921875,
-0.06842041015625,
-0.0130615234375,
-0.06365966796875,
-0.046783447265625,
-0.049163818359375,
-0.016082763671875,
-0.0406494140625,
0,
0.0084686279296875,
0.007762908935546875,
-0.056365966796875,
0.02069091796875,
-0.034088134765625,
0.0213775634765625,
0.052032470703125,
0.034942626953125,
-0.009613037109375,
0.00606536865234375,
-0.0189208984375,
-0.0019388198852539062,
-0.06060791015625,
-0.031341552734375,
0.0946044921875,
0.040435791015625,
0.04266357421875,
-0.0155487060546875,
0.056121826171875,
-0.00872039794921875,
0.012664794921875,
-0.03985595703125,
0.0377197265625,
0.01540374755859375,
-0.0693359375,
-0.01366424560546875,
-0.0233917236328125,
-0.04632568359375,
0.010650634765625,
-0.030914306640625,
-0.044219970703125,
0.0183563232421875,
0.0245361328125,
-0.0309295654296875,
0.047088623046875,
-0.032196044921875,
0.0860595703125,
-0.0164947509765625,
-0.029571533203125,
-0.00032448768615722656,
-0.035064697265625,
0.0101470947265625,
0.0149383544921875,
-0.010162353515625,
-0.002986907958984375,
0.007236480712890625,
0.07733154296875,
-0.05108642578125,
0.056640625,
-0.031646728515625,
0.03155517578125,
0.0277557373046875,
-0.0234527587890625,
0.05108642578125,
0.0154876708984375,
-0.007076263427734375,
0.01213836669921875,
0.0038013458251953125,
-0.04766845703125,
-0.0347900390625,
0.038543701171875,
-0.08807373046875,
-0.0166015625,
-0.04608154296875,
-0.03271484375,
-0.003040313720703125,
0.01447296142578125,
0.04534912109375,
0.053558349609375,
-0.0021228790283203125,
0.015045166015625,
0.03271484375,
-0.0025920867919921875,
0.0382080078125,
0.01580810546875,
0.01015472412109375,
-0.0517578125,
0.061187744140625,
-0.002960205078125,
0.01395416259765625,
-0.0083770751953125,
0.01043701171875,
-0.032745361328125,
-0.041748046875,
-0.041168212890625,
0.0215911865234375,
-0.06292724609375,
-0.0158843994140625,
-0.031341552734375,
-0.034515380859375,
-0.024749755859375,
0.00395965576171875,
-0.0343017578125,
-0.0151214599609375,
-0.0594482421875,
-0.0181884765625,
0.0214691162109375,
0.03253173828125,
0.0021343231201171875,
0.05572509765625,
-0.05853271484375,
-0.007709503173828125,
0.00934600830078125,
0.03436279296875,
0.016021728515625,
-0.062347412109375,
-0.033416748046875,
-0.0099945068359375,
-0.03289794921875,
-0.050079345703125,
0.038330078125,
-0.0015020370483398438,
0.06182861328125,
0.04962158203125,
-0.020660400390625,
0.07275390625,
-0.0157623291015625,
0.07220458984375,
0.03631591796875,
-0.040618896484375,
0.034912109375,
-0.0181884765625,
0.0225372314453125,
0.039215087890625,
0.0416259765625,
-0.0013303756713867188,
0.001972198486328125,
-0.09490966796875,
-0.054901123046875,
0.06024169921875,
0.019378662109375,
0.01364898681640625,
0.00847625732421875,
0.03729248046875,
-0.017059326171875,
0.0222320556640625,
-0.06610107421875,
-0.0472412109375,
-0.0224761962890625,
-0.00774383544921875,
-0.007022857666015625,
-0.02862548828125,
-0.0152435302734375,
-0.048614501953125,
0.076904296875,
0.0010929107666015625,
0.025970458984375,
0.004802703857421875,
0.0159149169921875,
-0.008758544921875,
-0.003040313720703125,
0.043853759765625,
0.05609130859375,
-0.0391845703125,
-0.012054443359375,
0.0220184326171875,
-0.042938232421875,
0.00238037109375,
0.017486572265625,
-0.014556884765625,
0.00418853759765625,
0.030609130859375,
0.07769775390625,
-0.001636505126953125,
-0.01169586181640625,
0.02947998046875,
-0.0107269287109375,
-0.033966064453125,
-0.039276123046875,
0.008209228515625,
-0.01250457763671875,
0.0144805908203125,
0.01502227783203125,
0.033416748046875,
0.00008106231689453125,
-0.0033416748046875,
0.006092071533203125,
0.01219940185546875,
-0.04229736328125,
-0.015625,
0.06585693359375,
0.00591278076171875,
-0.02423095703125,
0.057281494140625,
-0.00855255126953125,
-0.0140228271484375,
0.06561279296875,
0.033721923828125,
0.068603515625,
-0.01055908203125,
-0.0055084228515625,
0.07244873046875,
0.0105743408203125,
-0.0125579833984375,
0.0343017578125,
0.006900787353515625,
-0.04315185546875,
-0.00678253173828125,
-0.052886962890625,
-0.006969451904296875,
0.041778564453125,
-0.092529296875,
0.03167724609375,
-0.045440673828125,
-0.0421142578125,
0.016357421875,
0.0064544677734375,
-0.07891845703125,
0.053497314453125,
0.00215911865234375,
0.0853271484375,
-0.07550048828125,
0.052520751953125,
0.043365478515625,
-0.0506591796875,
-0.08349609375,
-0.0198974609375,
-0.007755279541015625,
-0.05810546875,
0.058624267578125,
-0.004016876220703125,
0.02947998046875,
0.01068878173828125,
-0.036712646484375,
-0.04437255859375,
0.0831298828125,
0.0102386474609375,
-0.041717529296875,
0.0000730752944946289,
0.0164031982421875,
0.043487548828125,
-0.01404571533203125,
0.05804443359375,
0.0171966552734375,
0.0165557861328125,
0.01904296875,
-0.06036376953125,
-0.00782012939453125,
-0.0272979736328125,
0.01073455810546875,
-0.0033512115478515625,
-0.04864501953125,
0.0753173828125,
0.004909515380859375,
0.02716064453125,
0.01122283935546875,
0.045928955078125,
0.02490234375,
0.0166168212890625,
0.02880859375,
0.07012939453125,
0.037322998046875,
-0.00881195068359375,
0.0687255859375,
-0.04327392578125,
0.055511474609375,
0.0811767578125,
0.008392333984375,
0.04345703125,
0.027252197265625,
-0.0219879150390625,
0.02593994140625,
0.0665283203125,
-0.03076171875,
0.01082611083984375,
0.0128021240234375,
-0.004413604736328125,
-0.0296173095703125,
0.0204010009765625,
-0.0504150390625,
0.0201568603515625,
0.0006361007690429688,
-0.057525634765625,
-0.025054931640625,
-0.01323699951171875,
-0.00007462501525878906,
-0.0225372314453125,
-0.0304107666015625,
0.038665771484375,
-0.0302581787109375,
-0.0261077880859375,
0.051513671875,
0.006587982177734375,
0.0159149169921875,
-0.041168212890625,
-0.01558685302734375,
-0.001056671142578125,
0.029571533203125,
-0.0283050537109375,
-0.03997802734375,
0.007122039794921875,
-0.0015382766723632812,
-0.0175933837890625,
0.0018358230590820312,
0.0232391357421875,
-0.01114654541015625,
-0.0633544921875,
0.0032367706298828125,
0.023284912109375,
0.0210113525390625,
0.01084136962890625,
-0.082763671875,
0.0004329681396484375,
-0.004489898681640625,
-0.034942626953125,
0.01401519775390625,
0.01366424560546875,
0.01204681396484375,
0.04345703125,
0.047607421875,
0.0080413818359375,
0.01404571533203125,
0.01221466064453125,
0.07293701171875,
-0.04644775390625,
-0.05023193359375,
-0.05694580078125,
0.049072265625,
-0.0208587646484375,
-0.06890869140625,
0.053192138671875,
0.08258056640625,
0.06634521484375,
-0.0145263671875,
0.044830322265625,
0.01153564453125,
0.0219268798828125,
-0.03814697265625,
0.03997802734375,
-0.0287933349609375,
-0.00140380859375,
-0.0172882080078125,
-0.059906005859375,
-0.006134033203125,
0.047637939453125,
-0.0262603759765625,
0.0171051025390625,
0.039276123046875,
0.0572509765625,
-0.0010824203491210938,
0.0077972412109375,
0.014617919921875,
-0.00949859619140625,
0.0177154541015625,
0.02423095703125,
0.03631591796875,
-0.067138671875,
0.037322998046875,
-0.04779052734375,
-0.012542724609375,
0.0016345977783203125,
-0.049072265625,
-0.0771484375,
-0.020660400390625,
-0.043487548828125,
-0.047637939453125,
-0.008056640625,
0.0748291015625,
0.061767578125,
-0.05499267578125,
-0.03900146484375,
-0.00337982177734375,
-0.026519775390625,
-0.02313232421875,
-0.01739501953125,
0.042938232421875,
-0.01171875,
-0.052703857421875,
-0.0191192626953125,
-0.0243682861328125,
0.033447265625,
-0.0219573974609375,
-0.0213775634765625,
-0.01898193359375,
-0.0216827392578125,
0.0064849853515625,
0.005794525146484375,
-0.037109375,
-0.0178375244140625,
-0.01084136962890625,
-0.0069427490234375,
0.0199737548828125,
0.0276641845703125,
-0.028594970703125,
0.035369873046875,
0.02520751953125,
0.01442718505859375,
0.059661865234375,
0.001338958740234375,
0.00946044921875,
-0.047943115234375,
0.0305938720703125,
0.014617919921875,
0.0286407470703125,
0.000545501708984375,
-0.032928466796875,
0.026885986328125,
0.04327392578125,
-0.03680419921875,
-0.0633544921875,
-0.02032470703125,
-0.06707763671875,
0.0210113525390625,
0.075927734375,
-0.002910614013671875,
-0.041351318359375,
0.0214996337890625,
-0.012969970703125,
0.02496337890625,
-0.01666259765625,
0.02740478515625,
0.047088623046875,
-0.0190887451171875,
0.0005674362182617188,
-0.046783447265625,
0.037872314453125,
0.0041961669921875,
-0.052093505859375,
-0.0255279541015625,
0.022369384765625,
0.03973388671875,
0.01009368896484375,
0.03497314453125,
-0.0115203857421875,
0.022796630859375,
0.0286407470703125,
0.035064697265625,
-0.03692626953125,
-0.014129638671875,
-0.0307159423828125,
0.01424407958984375,
0.0031890869140625,
-0.0482177734375
]
] |
Vishal24/function-calling-adapters-v2 | 2023-09-29T07:43:16.000Z | [
"peft",
"region:us"
] | null | Vishal24 | null | null | Vishal24/function-calling-adapters-v2 | 0 | 2 | peft | 2023-09-29T07:42:54 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.6.0.dev0
- PEFT 0.6.0.dev0
| 805 | [
[
-0.05145263671875,
-0.050750732421875,
0.024078369140625,
0.03448486328125,
-0.040283203125,
0.0048675537109375,
0.00732421875,
-0.0232696533203125,
-0.01059722900390625,
0.027496337890625,
-0.04925537109375,
-0.01502227783203125,
-0.037445068359375,
0.01385498046875,
0.0034027099609375,
0.069580078125,
-0.01396942138671875,
0.029205322265625,
-0.0118560791015625,
-0.00417327880859375,
-0.03436279296875,
-0.030548095703125,
-0.065185546875,
-0.0219268798828125,
-0.016693115234375,
0.023773193359375,
0.031341552734375,
0.0208282470703125,
0.04840087890625,
0.0191802978515625,
-0.0027027130126953125,
-0.017608642578125,
-0.01523590087890625,
-0.0242156982421875,
0.0099029541015625,
-0.0294647216796875,
-0.057037353515625,
-0.012237548828125,
0.06988525390625,
0.0170745849609375,
-0.007312774658203125,
0.0194549560546875,
-0.0110321044921875,
0.06964111328125,
-0.05096435546875,
0.01300048828125,
-0.0347900390625,
0.031951904296875,
-0.00377655029296875,
-0.016326904296875,
-0.019989013671875,
-0.014007568359375,
-0.0025043487548828125,
-0.040191650390625,
0.031402587890625,
0.0004742145538330078,
0.07183837890625,
0.010589599609375,
-0.048187255859375,
0.011749267578125,
-0.033843994140625,
0.0496826171875,
-0.055084228515625,
0.040802001953125,
0.034515380859375,
0.00868988037109375,
0.00852203369140625,
-0.04071044921875,
-0.0316162109375,
0.01263427734375,
0.0093536376953125,
-0.00806427001953125,
-0.00853729248046875,
0.037353515625,
0.059478759765625,
0.033233642578125,
-0.03302001953125,
-0.00823211669921875,
-0.04052734375,
-0.036407470703125,
0.05255126953125,
0.016387939453125,
-0.02618408203125,
0.0177001953125,
-0.0538330078125,
-0.01336669921875,
-0.047821044921875,
0.0145111083984375,
0.031463623046875,
-0.0032939910888671875,
-0.039215087890625,
0.0264434814453125,
-0.031494140625,
0.04180908203125,
0.04998779296875,
-0.0015077590942382812,
0.06787109375,
-0.0394287109375,
-0.03924560546875,
0.021087646484375,
0.06402587890625,
0.017242431640625,
0.01172637939453125,
0.004627227783203125,
-0.035614013671875,
-0.0242919921875,
0.031036376953125,
-0.0869140625,
-0.01517486572265625,
0.032745361328125,
-0.01529693603515625,
-0.0283355712890625,
0.01323699951171875,
-0.041717529296875,
0.01483917236328125,
0.0001647472381591797,
0.055755615234375,
-0.055267333984375,
-0.031219482421875,
0.02294921875,
-0.0196380615234375,
0.04205322265625,
0.00727081298828125,
-0.0780029296875,
0.0418701171875,
0.047821044921875,
0.049591064453125,
0.002567291259765625,
-0.01214599609375,
-0.0256195068359375,
-0.004520416259765625,
-0.01108551025390625,
0.0245361328125,
0.0253448486328125,
-0.029083251953125,
-0.01334381103515625,
0.00829315185546875,
-0.018218994140625,
-0.042633056640625,
0.04241943359375,
-0.044403076171875,
-0.0021266937255859375,
-0.0091094970703125,
-0.038726806640625,
-0.0255126953125,
0.0205230712890625,
-0.03955078125,
0.0833740234375,
0.0243072509765625,
-0.052490234375,
0.0204010009765625,
-0.037078857421875,
-0.021453857421875,
0.0133819580078125,
-0.0286712646484375,
-0.056243896484375,
0.03021240234375,
-0.01971435546875,
0.028594970703125,
0.007762908935546875,
0.0218353271484375,
-0.01335906982421875,
-0.056243896484375,
0.02587890625,
-0.032989501953125,
0.0721435546875,
0.009429931640625,
-0.05902099609375,
-0.0014524459838867188,
-0.06988525390625,
0.02410888671875,
-0.0054168701171875,
-0.042999267578125,
0.0255279541015625,
-0.029998779296875,
0.0020771026611328125,
0.0017518997192382812,
0.036529541015625,
-0.0567626953125,
-0.009429931640625,
-0.037109375,
0.03271484375,
0.06201171875,
0.0054931640625,
0.019256591796875,
-0.017608642578125,
0.03485107421875,
0.0160369873046875,
0.0264129638671875,
0.03924560546875,
-0.037841796875,
-0.06243896484375,
-0.01184844970703125,
0.00977325439453125,
0.038818359375,
-0.0517578125,
0.05828857421875,
-0.0057830810546875,
-0.0233154296875,
-0.016876220703125,
-0.012481689453125,
0.04205322265625,
0.0263519287109375,
0.0225982666015625,
-0.01398468017578125,
-0.037017822265625,
-0.07080078125,
0.02520751953125,
0.002079010009765625,
0.01084136962890625,
-0.001461029052734375,
0.061309814453125,
0.00653839111328125,
0.048797607421875,
-0.033050537109375,
0.00032448768615722656,
0.01015472412109375,
0.00595855712890625,
0.031524658203125,
0.0570068359375,
0.0516357421875,
-0.06439208984375,
-0.0206756591796875,
-0.03875732421875,
-0.01442718505859375,
0.0172119140625,
-0.0213775634765625,
-0.0190887451171875,
0.0357666015625,
0.007793426513671875,
-0.026885986328125,
0.0457763671875,
0.034149169921875,
-0.053436279296875,
0.07672119140625,
-0.01552581787109375,
0.0171661376953125,
-0.06292724609375,
0.00559234619140625,
-0.0008306503295898438,
-0.021942138671875,
0.0008568763732910156,
0.003139495849609375,
0.0218505859375,
0.006229400634765625,
-0.048919677734375,
0.02435302734375,
-0.0217437744140625,
-0.00970458984375,
-0.0023784637451171875,
-0.048431396484375,
0.01837158203125,
0.044036865234375,
0.00360107421875,
0.0728759765625,
0.049530029296875,
-0.055938720703125,
0.022705078125,
0.0014009475708007812,
-0.0022983551025390625,
0.03570556640625,
-0.046905517578125,
0.004756927490234375,
0.033935546875,
-0.00307464599609375,
-0.0616455078125,
0.00838470458984375,
0.021453857421875,
-0.036590576171875,
0.0281219482421875,
-0.00803375244140625,
-0.037628173828125,
-0.0070953369140625,
-0.046722412109375,
0.04205322265625,
0.036041259765625,
-0.0234832763671875,
0.0187835693359375,
0.0011873245239257812,
0.04583740234375,
-0.029571533203125,
-0.06182861328125,
-0.03533935546875,
-0.0139007568359375,
-0.04290771484375,
0.048492431640625,
-0.03955078125,
0.00991058349609375,
-0.0165863037109375,
-0.036834716796875,
-0.0281982421875,
0.0191650390625,
0.03009033203125,
0.025787353515625,
-0.0222930908203125,
-0.01149749755859375,
0.0119781494140625,
-0.00936126708984375,
0.029998779296875,
-0.00763702392578125,
0.038848876953125,
-0.035491943359375,
-0.01114654541015625,
-0.03656005859375,
0.0107574462890625,
0.01291656494140625,
0.01373291015625,
0.06597900390625,
0.0772705078125,
-0.031005859375,
0.010467529296875,
-0.034332275390625,
-0.0221405029296875,
-0.03936767578125,
0.0190887451171875,
-0.044586181640625,
-0.0780029296875,
0.02447509765625,
0.007244110107421875,
-0.0004000663757324219,
0.05322265625,
0.0189208984375,
-0.0178375244140625,
0.054656982421875,
0.032135009765625,
0.0245819091796875,
0.051727294921875,
-0.043304443359375,
-0.00634765625,
-0.07916259765625,
-0.007137298583984375,
-0.03765869140625,
-0.02752685546875,
-0.0592041015625,
-0.0036067962646484375,
0.03582763671875,
0.032440185546875,
-0.0625,
0.0167694091796875,
-0.03765869140625,
0.0255126953125,
0.043182373046875,
0.0269317626953125,
-0.0117340087890625,
0.0230255126953125,
-0.0162200927734375,
0.0068817138671875,
-0.04071044921875,
-0.0023441314697265625,
0.0928955078125,
0.0181732177734375,
0.027587890625,
-0.00624847412109375,
0.062103271484375,
0.002780914306640625,
-0.02752685546875,
-0.04852294921875,
0.049224853515625,
-0.004833221435546875,
-0.059906005859375,
-0.00957489013671875,
-0.0482177734375,
-0.04425048828125,
-0.0007576942443847656,
-0.020355224609375,
-0.053680419921875,
0.0217742919921875,
0.0255126953125,
-0.041046142578125,
0.014923095703125,
-0.042755126953125,
0.07421875,
-0.0235748291015625,
-0.00943756103515625,
-0.023956298828125,
-0.054534912109375,
0.01451873779296875,
0.0019216537475585938,
-0.002208709716796875,
0.0038623809814453125,
-0.00753021240234375,
0.07476806640625,
-0.03759765625,
0.048095703125,
-0.024749755859375,
0.019073486328125,
0.0293731689453125,
-0.0208282470703125,
0.029083251953125,
0.01160430908203125,
-0.01174163818359375,
0.047393798828125,
0.02386474609375,
-0.038909912109375,
-0.0018310546875,
0.037322998046875,
-0.08001708984375,
-0.00653076171875,
-0.05218505859375,
-0.019500732421875,
-0.01343536376953125,
0.00994110107421875,
0.04119873046875,
0.03131103515625,
0.01001739501953125,
0.03271484375,
0.08099365234375,
0.00908660888671875,
0.04266357421875,
0.034515380859375,
0.0038585662841796875,
-0.0689697265625,
0.053436279296875,
-0.003063201904296875,
0.04681396484375,
0.031341552734375,
0.01261138916015625,
-0.0208892822265625,
-0.061309814453125,
-0.0295562744140625,
0.0161895751953125,
-0.0301666259765625,
-0.03802490234375,
-0.0197906494140625,
-0.03765869140625,
-0.05059814453125,
0.00197601318359375,
-0.040740966796875,
-0.049774169921875,
-0.03302001953125,
-0.00975799560546875,
0.0528564453125,
-0.00984954833984375,
-0.0189971923828125,
0.06121826171875,
-0.07928466796875,
0.00960540771484375,
-0.0017080307006835938,
0.029144287109375,
-0.01483917236328125,
-0.054656982421875,
-0.05718994140625,
0.0052490234375,
-0.053314208984375,
-0.062255859375,
0.004505157470703125,
0.01537322998046875,
0.03033447265625,
0.034088134765625,
-0.005046844482421875,
0.042327880859375,
-0.01517486572265625,
0.05023193359375,
0.01544952392578125,
-0.07373046875,
0.032623291015625,
-0.00722503662109375,
0.0251007080078125,
0.054534912109375,
0.03271484375,
-0.00232696533203125,
0.01230621337890625,
-0.072998046875,
-0.06787109375,
0.058929443359375,
0.01508331298828125,
-0.00789642333984375,
0.01523590087890625,
0.036407470703125,
-0.004581451416015625,
0.046112060546875,
-0.053924560546875,
-0.015625,
-0.01404571533203125,
0.003444671630859375,
0.0271453857421875,
-0.020263671875,
-0.00634002685546875,
-0.0224609375,
0.0845947265625,
-0.0127410888671875,
0.042388916015625,
0.0160369873046875,
-0.0014925003051757812,
-0.025360107421875,
0.0106658935546875,
0.03070068359375,
0.048370361328125,
-0.057037353515625,
0.0037670135498046875,
0.0024013519287109375,
-0.06890869140625,
0.00481414794921875,
0.0129547119140625,
-0.0262603759765625,
-0.01184844970703125,
0.007183074951171875,
0.08544921875,
0.0173187255859375,
-0.022613525390625,
0.0206756591796875,
-0.00399017333984375,
-0.0433349609375,
-0.04150390625,
0.029815673828125,
-0.005596160888671875,
0.0231170654296875,
0.007762908935546875,
0.01290130615234375,
0.00653076171875,
-0.007343292236328125,
0.00925445556640625,
0.0277099609375,
-0.01409912109375,
-0.02569580078125,
0.02581787109375,
0.02264404296875,
-0.002033233642578125,
0.06451416015625,
-0.04791259765625,
-0.0261993408203125,
0.061920166015625,
0.037445068359375,
0.0789794921875,
-0.0009374618530273438,
0.0114288330078125,
0.037139892578125,
0.0127105712890625,
-0.0027523040771484375,
0.06634521484375,
-0.0186614990234375,
-0.0662841796875,
-0.02410888671875,
-0.06988525390625,
-0.010894775390625,
0.01125335693359375,
-0.070556640625,
0.022064208984375,
-0.052581787109375,
-0.025726318359375,
0.00057220458984375,
0.0406494140625,
-0.0595703125,
0.031463623046875,
0.01806640625,
0.08123779296875,
-0.05828857421875,
0.076171875,
0.061920166015625,
-0.0259857177734375,
-0.065185546875,
-0.026763916015625,
-0.00789642333984375,
-0.051727294921875,
0.04095458984375,
0.0025177001953125,
0.017730712890625,
0.0297393798828125,
-0.02984619140625,
-0.051025390625,
0.10260009765625,
0.0173187255859375,
-0.049652099609375,
0.01035308837890625,
0.0205841064453125,
0.00968170166015625,
-0.01275634765625,
0.021331787109375,
0.028900146484375,
0.02337646484375,
0.0216217041015625,
-0.063232421875,
0.01338958740234375,
0.003452301025390625,
-0.01068115234375,
0.042633056640625,
-0.05718994140625,
0.0814208984375,
-0.0103912353515625,
0.0169677734375,
-0.00528717041015625,
0.03704833984375,
0.047882080078125,
0.017852783203125,
0.050323486328125,
0.060760498046875,
0.0206298828125,
-0.0058746337890625,
0.034576416015625,
-0.034515380859375,
0.044158935546875,
0.071533203125,
-0.00033402442932128906,
0.057525634765625,
0.0570068359375,
-0.040191650390625,
0.0156707763671875,
0.0648193359375,
-0.0152435302734375,
0.036224365234375,
0.00247955322265625,
-0.03253173828125,
-0.02191162109375,
0.024810791015625,
-0.03912353515625,
0.00461578369140625,
0.033172607421875,
-0.017547607421875,
-0.0091705322265625,
-0.01232147216796875,
0.009552001953125,
-0.06256103515625,
-0.0271759033203125,
0.047637939453125,
-0.0007009506225585938,
-0.0247344970703125,
0.052947998046875,
0.0046539306640625,
0.061737060546875,
-0.06597900390625,
-0.01203155517578125,
-0.006114959716796875,
0.020050048828125,
-0.0240478515625,
-0.046783447265625,
0.0287628173828125,
-0.01139068603515625,
-0.0297698974609375,
-0.0156097412109375,
0.041351318359375,
-0.00385284423828125,
-0.046112060546875,
-0.00225830078125,
-0.004749298095703125,
0.018157958984375,
-0.03704833984375,
-0.0625,
0.00948333740234375,
0.032196044921875,
-0.04254150390625,
0.0443115234375,
0.04693603515625,
0.0164031982421875,
0.0164031982421875,
0.027191162109375,
0.01163482666015625,
0.021759033203125,
-0.00667572021484375,
0.05859375,
-0.05072021484375,
-0.041656494140625,
-0.0616455078125,
0.0445556640625,
0.0057830810546875,
-0.04534912109375,
0.0293731689453125,
0.058929443359375,
0.081298828125,
0.0015478134155273438,
0.030120849609375,
-0.0161895751953125,
-0.0134735107421875,
-0.05816650390625,
0.03033447265625,
-0.020751953125,
0.00583648681640625,
0.0104827880859375,
-0.04541015625,
0.0236358642578125,
0.054534912109375,
-0.00553131103515625,
0.007686614990234375,
0.0716552734375,
0.0367431640625,
-0.0080108642578125,
0.0175323486328125,
0.0119476318359375,
0.010986328125,
0.01261138916015625,
0.049224853515625,
0.007793426513671875,
-0.06414794921875,
0.03350830078125,
-0.055267333984375,
-0.02557373046875,
-0.01128387451171875,
-0.06103515625,
-0.03533935546875,
-0.0159149169921875,
-0.058074951171875,
-0.034698486328125,
-0.007709503173828125,
0.057159423828125,
0.06207275390625,
-0.05816650390625,
-0.032379150390625,
-0.022857666015625,
-0.010528564453125,
-0.0230865478515625,
-0.0207672119140625,
0.0272674560546875,
-0.01355743408203125,
-0.0262298583984375,
0.007411956787109375,
0.001079559326171875,
0.0235595703125,
-0.0177459716796875,
-0.0181884765625,
-0.030487060546875,
-0.01366424560546875,
0.01446533203125,
-0.0078277587890625,
-0.00833892822265625,
-0.0163726806640625,
-0.0197296142578125,
0.007434844970703125,
0.0328369140625,
0.0380859375,
-0.0623779296875,
0.01024627685546875,
0.045684814453125,
0.02227783203125,
0.047393798828125,
-0.0211944580078125,
0.0199737548828125,
-0.07843017578125,
0.0267181396484375,
0.0207061767578125,
0.0282745361328125,
-0.0085906982421875,
-0.0455322265625,
0.03607177734375,
0.04150390625,
-0.054107666015625,
-0.047637939453125,
-0.00246429443359375,
-0.0885009765625,
0.004241943359375,
0.06494140625,
-0.01090240478515625,
-0.0303955078125,
0.0264434814453125,
-0.0006880760192871094,
0.0206298828125,
-0.04278564453125,
0.036224365234375,
0.045196533203125,
-0.0308990478515625,
0.0003063678741455078,
-0.050933837890625,
0.034698486328125,
0.0225067138671875,
-0.0543212890625,
-0.0440673828125,
0.0325927734375,
0.035125732421875,
0.00814056396484375,
0.055084228515625,
-0.00876617431640625,
0.0240020751953125,
0.0167694091796875,
0.02301025390625,
-0.0222015380859375,
-0.00408172607421875,
-0.036163330078125,
-0.002437591552734375,
-0.00664520263671875,
-0.06317138671875
]
] |
LoneStriker/Synthia-7B-v1.3-5.0bpw-h6-exl2 | 2023-10-01T09:04:06.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"arxiv:2306.02707",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Synthia-7B-v1.3-5.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-09-29T11:51:21 | ---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
Change from Synthia-7B-v1.2 -> Synthia-7B-v1.3: Base model was changed from LLaMA-2-7B to Mistral-7B-v0.1
All Synthia models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use Synthia.
To evoke generalized Tree of Thought + Chain of Thought reasoning, you may use the following system message:
```
Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
```
# Synthia-7B-v1.3
SynthIA (Synthetic Intelligent Agent) 7B-v1.3 is a Mistral-7B-v0.1 model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.
<br>
#### License Disclaimer:
This model is released under Apache 2.0, and comes with no warranty or gurantees of any kind.
<br>
## Evaluation
We evaluated Synthia-7B-v1.3 on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI.
Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
||||
|:------:|:--------:|:-------:|
|**Task**|**Metric**|**Value**|
|*arc_challenge*|acc_norm|0.6237|
|*hellaswag*|acc_norm|0.8349|
|*mmlu*|acc_norm|0.6232|
|*truthfulqa_mc*|mc2|0.5125|
|**Total Average**|-|**0.6485**||
<br>
## Example Usage
### Here is prompt format:
```
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
USER: How is a rocket launched from the surface of the earth to Low Earth Orbit?
ASSISTANT:
```
### Below shows a code example on how to use this model:
```python
import torch, json
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "migtissera/Synthia-7B-v1.3"
output_file_path = "./Synthia-7B-conversations.jsonl"
model = AutoModelForCausalLM.from_pretrained(
model_path,
torch_dtype=torch.float16,
device_map="auto",
load_in_8bit=False,
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
def generate_text(instruction):
tokens = tokenizer.encode(instruction)
tokens = torch.LongTensor(tokens).unsqueeze(0)
tokens = tokens.to("cuda")
instance = {
"input_ids": tokens,
"top_p": 1.0,
"temperature": 0.75,
"generate_len": 1024,
"top_k": 50,
}
length = len(tokens[0])
with torch.no_grad():
rest = model.generate(
input_ids=tokens,
max_length=length + instance["generate_len"],
use_cache=True,
do_sample=True,
top_p=instance["top_p"],
temperature=instance["temperature"],
top_k=instance["top_k"],
num_return_sequences=1,
)
output = rest[0][length:]
string = tokenizer.decode(output, skip_special_tokens=True)
answer = string.split("USER:")[0].strip()
return f"{answer}"
conversation = f"SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."
while True:
user_input = input("You: ")
llm_prompt = f"{conversation} \nUSER: {user_input} \nASSISTANT: "
answer = generate_text(llm_prompt)
print(answer)
conversation = f"{llm_prompt}{answer}"
json_data = {"prompt": user_input, "answer": answer}
## Save your conversation
with open(output_file_path, "a") as output_file:
output_file.write(json.dumps(json_data) + "\n")
```
<br>
#### Limitations & Biases:
While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.
Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content.
Exercise caution and cross-check information when necessary. This is an uncensored model.
<br>
### Citiation:
Please kindly cite using the following BibTeX:
```
@misc{Synthia-7B-v1.3,
author = {Migel Tissera},
title = {Synthia-7B-v1.3: Synthetic Intelligent Agent},
year = {2023},
publisher = {GitHub, HuggingFace},
journal = {GitHub repository, HuggingFace repository},
howpublished = {\url{https://huggingface.co/migtissera/Synthia-13B},
}
```
```
@misc{mukherjee2023orca,
title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
year={2023},
eprint={2306.02707},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
| 4,953 | [
[
-0.022705078125,
-0.0755615234375,
0.032989501953125,
0.016448974609375,
-0.0234375,
0.004840850830078125,
-0.0140838623046875,
-0.04254150390625,
0.006946563720703125,
0.019134521484375,
-0.05194091796875,
-0.045440673828125,
-0.0267791748046875,
0.0042724609375,
-0.01403045654296875,
0.085205078125,
-0.007534027099609375,
-0.00803375244140625,
-0.0018739700317382812,
-0.0002474784851074219,
-0.03594970703125,
-0.047821044921875,
-0.054595947265625,
-0.032806396484375,
0.0175933837890625,
0.0019893646240234375,
0.032867431640625,
0.05145263671875,
0.0181121826171875,
0.032989501953125,
-0.014190673828125,
0.01459503173828125,
-0.0237884521484375,
0.00589752197265625,
-0.011077880859375,
-0.037109375,
-0.05706787109375,
0.006725311279296875,
0.031829833984375,
0.0188446044921875,
-0.00403594970703125,
0.037078857421875,
-0.003597259521484375,
0.024200439453125,
-0.027191162109375,
0.0204315185546875,
-0.050811767578125,
-0.00823211669921875,
-0.0083465576171875,
-0.012908935546875,
-0.022430419921875,
-0.0225982666015625,
0.01267242431640625,
-0.052642822265625,
0.0164794921875,
-0.00012540817260742188,
0.07635498046875,
0.0161285400390625,
-0.016387939453125,
-0.0275421142578125,
-0.040130615234375,
0.053466796875,
-0.07470703125,
0.008331298828125,
0.01251220703125,
0.007564544677734375,
-0.0184326171875,
-0.06146240234375,
-0.06060791015625,
-0.01558685302734375,
0.0007786750793457031,
0.01605224609375,
-0.00850677490234375,
0.005191802978515625,
0.035064697265625,
0.0259857177734375,
-0.03875732421875,
-0.016845703125,
-0.039794921875,
-0.0211944580078125,
0.04681396484375,
0.02593994140625,
0.024993896484375,
-0.0239105224609375,
-0.0208892822265625,
-0.0301361083984375,
-0.034576416015625,
0.023223876953125,
0.0386962890625,
0.021453857421875,
-0.0245819091796875,
0.04168701171875,
-0.0166473388671875,
0.047515869140625,
0.0212249755859375,
-0.00806427001953125,
0.039825439453125,
-0.032135009765625,
-0.03546142578125,
-0.01074981689453125,
0.0751953125,
0.0177459716796875,
0.0083465576171875,
0.0042724609375,
0.0022983551025390625,
0.0123291015625,
0.001522064208984375,
-0.061981201171875,
-0.0303802490234375,
0.033050537109375,
-0.0206756591796875,
-0.027496337890625,
-0.0116119384765625,
-0.05145263671875,
-0.007434844970703125,
-0.016204833984375,
0.031829833984375,
-0.03265380859375,
-0.034454345703125,
0.005596160888671875,
-0.005584716796875,
0.0177764892578125,
0.00768280029296875,
-0.0701904296875,
0.0269622802734375,
0.025177001953125,
0.06365966796875,
0.006961822509765625,
-0.032257080078125,
0.004299163818359375,
-0.0047149658203125,
-0.012664794921875,
0.04412841796875,
-0.0194854736328125,
-0.0263519287109375,
-0.0302276611328125,
0.005046844482421875,
-0.020782470703125,
-0.037261962890625,
0.029388427734375,
-0.0200042724609375,
0.037841796875,
-0.0255279541015625,
-0.03558349609375,
-0.0266571044921875,
0.0248260498046875,
-0.0307159423828125,
0.08685302734375,
0.0064849853515625,
-0.0694580078125,
0.0081024169921875,
-0.043182373046875,
-0.00402069091796875,
-0.0181121826171875,
-0.01739501953125,
-0.03558349609375,
-0.0172576904296875,
0.0164794921875,
0.0218505859375,
-0.018951416015625,
0.030975341796875,
-0.020660400390625,
-0.0163726806640625,
0.027801513671875,
-0.0278778076171875,
0.08758544921875,
0.0169677734375,
-0.04449462890625,
0.0248260498046875,
-0.057037353515625,
0.0195770263671875,
0.0182037353515625,
-0.0186920166015625,
-0.006542205810546875,
-0.018951416015625,
-0.0149688720703125,
0.02301025390625,
0.0295257568359375,
-0.04364013671875,
0.021728515625,
-0.051361083984375,
0.035064697265625,
0.0626220703125,
0.0098114013671875,
0.01898193359375,
-0.031005859375,
0.032318115234375,
0.01329803466796875,
0.0108795166015625,
0.00536346435546875,
-0.043853759765625,
-0.073486328125,
-0.007232666015625,
0.006542205810546875,
0.044189453125,
-0.042236328125,
0.041717529296875,
-0.006732940673828125,
-0.05224609375,
-0.040313720703125,
0.002593994140625,
0.03851318359375,
0.045196533203125,
0.034332275390625,
-0.0110931396484375,
-0.060272216796875,
-0.05755615234375,
-0.00885772705078125,
-0.0249481201171875,
0.00630950927734375,
0.01363372802734375,
0.057342529296875,
-0.0172271728515625,
0.07061767578125,
-0.036529541015625,
0.002559661865234375,
-0.02593994140625,
0.0169219970703125,
0.0382080078125,
0.060150146484375,
0.032745361328125,
-0.0321044921875,
-0.0261383056640625,
-0.00904083251953125,
-0.06890869140625,
-0.00405120849609375,
-0.020355224609375,
-0.033294677734375,
0.006725311279296875,
0.01275634765625,
-0.0791015625,
0.026763916015625,
0.0264434814453125,
-0.04132080078125,
0.05035400390625,
-0.01229095458984375,
0.0051422119140625,
-0.10693359375,
0.0169677734375,
-0.006374359130859375,
-0.002155303955078125,
-0.04278564453125,
-0.00101470947265625,
-0.00942230224609375,
0.01541900634765625,
-0.03375244140625,
0.046234130859375,
-0.033416748046875,
0.00951385498046875,
-0.01074981689453125,
0.0089874267578125,
-0.0024776458740234375,
0.07012939453125,
-0.00850677490234375,
0.0478515625,
0.0465087890625,
-0.04559326171875,
0.037811279296875,
0.0220184326171875,
-0.0107421875,
0.021026611328125,
-0.058868408203125,
0.0292816162109375,
0.005466461181640625,
0.0279693603515625,
-0.0648193359375,
-0.0140533447265625,
0.050689697265625,
-0.047393798828125,
0.017791748046875,
0.00441741943359375,
-0.03033447265625,
-0.037811279296875,
-0.0184326171875,
0.035552978515625,
0.03857421875,
-0.0323486328125,
0.047393798828125,
0.02105712890625,
0.006580352783203125,
-0.043121337890625,
-0.044677734375,
-0.01727294921875,
-0.0262603759765625,
-0.0440673828125,
0.021514892578125,
-0.025604248046875,
-0.01557159423828125,
-0.00482177734375,
-0.01192474365234375,
0.0009851455688476562,
0.002727508544921875,
0.026580810546875,
0.033905029296875,
-0.0006852149963378906,
0.004093170166015625,
0.0020751953125,
0.004608154296875,
0.03314208984375,
-0.012603759765625,
0.0513916015625,
-0.029388427734375,
-0.0105133056640625,
-0.04327392578125,
-0.0018281936645507812,
0.0347900390625,
-0.008331298828125,
0.05517578125,
0.038848876953125,
-0.0301361083984375,
-0.00911712646484375,
-0.03460693359375,
-0.01526641845703125,
-0.03912353515625,
0.0293731689453125,
-0.039825439453125,
-0.04302978515625,
0.061553955078125,
0.00897979736328125,
0.0119171142578125,
0.056488037109375,
0.056365966796875,
0.00325775146484375,
0.0733642578125,
0.0243072509765625,
0.00914764404296875,
0.0299072265625,
-0.061279296875,
0.002716064453125,
-0.080322265625,
-0.0384521484375,
-0.023651123046875,
-0.0104827880859375,
-0.042724609375,
-0.0243988037109375,
0.00904083251953125,
0.005828857421875,
-0.05072021484375,
0.0303497314453125,
-0.06121826171875,
0.0251922607421875,
0.03765869140625,
0.0223541259765625,
0.01180267333984375,
-0.0153045654296875,
-0.015838623046875,
0.011505126953125,
-0.050567626953125,
-0.042083740234375,
0.0947265625,
0.0274658203125,
0.04632568359375,
-0.002307891845703125,
0.05877685546875,
-0.0010051727294921875,
0.032379150390625,
-0.039581298828125,
0.0567626953125,
0.03204345703125,
-0.0684814453125,
-0.019744873046875,
-0.03924560546875,
-0.06927490234375,
0.033935546875,
-0.00737762451171875,
-0.07720947265625,
0.004669189453125,
0.01049041748046875,
-0.032806396484375,
0.028289794921875,
-0.0540771484375,
0.07550048828125,
-0.01617431640625,
-0.0248260498046875,
-0.0027523040771484375,
-0.047760009765625,
0.042633056640625,
0.00783538818359375,
0.007595062255859375,
-0.0099945068359375,
0.02008056640625,
0.07879638671875,
-0.036529541015625,
0.0733642578125,
-0.01000213623046875,
-0.00630950927734375,
0.046539306640625,
-0.005527496337890625,
0.03692626953125,
0.001674652099609375,
0.0015897750854492188,
0.01302337646484375,
0.00630950927734375,
-0.0204315185546875,
-0.044189453125,
0.060546875,
-0.082763671875,
-0.0572509765625,
-0.050994873046875,
-0.039031982421875,
-0.0011796951293945312,
0.02386474609375,
0.037078857421875,
0.0287933349609375,
-0.00739288330078125,
-0.002849578857421875,
0.039154052734375,
-0.01416015625,
0.0338134765625,
0.023681640625,
-0.021026611328125,
-0.046722412109375,
0.05426025390625,
0.01104736328125,
0.0170135498046875,
0.004077911376953125,
0.0084381103515625,
-0.03692626953125,
-0.03167724609375,
-0.03607177734375,
0.0289306640625,
-0.05633544921875,
-0.020721435546875,
-0.061431884765625,
-0.0276336669921875,
-0.031219482421875,
0.0078277587890625,
-0.0306396484375,
-0.02642822265625,
-0.035919189453125,
-0.02545166015625,
0.0285186767578125,
0.04510498046875,
0.00567626953125,
0.016021728515625,
-0.03533935546875,
0.017059326171875,
0.021514892578125,
0.005420684814453125,
0.01540374755859375,
-0.052642822265625,
-0.0222930908203125,
0.0276336669921875,
-0.046417236328125,
-0.0760498046875,
0.0362548828125,
-0.00768280029296875,
0.04083251953125,
0.003154754638671875,
0.002323150634765625,
0.06243896484375,
-0.009185791015625,
0.06005859375,
0.01511383056640625,
-0.08477783203125,
0.04608154296875,
-0.0297393798828125,
0.035491943359375,
0.0230560302734375,
0.009185791015625,
-0.017059326171875,
-0.045928955078125,
-0.067626953125,
-0.0631103515625,
0.05609130859375,
0.0408935546875,
0.00666046142578125,
-0.0034847259521484375,
0.02349853515625,
-0.00519561767578125,
0.01116180419921875,
-0.08489990234375,
-0.02349853515625,
-0.0347900390625,
-0.0228118896484375,
0.01387786865234375,
0.0015316009521484375,
-0.01593017578125,
-0.043182373046875,
0.06256103515625,
0.0012140274047851562,
0.03118896484375,
0.032196044921875,
0.0013437271118164062,
-0.0170440673828125,
0.0175323486328125,
0.034271240234375,
0.052337646484375,
-0.023651123046875,
0.006793975830078125,
0.03790283203125,
-0.037078857421875,
0.018524169921875,
0.0046844482421875,
-0.005695343017578125,
-0.01104736328125,
0.0283660888671875,
0.06414794921875,
-0.00643157958984375,
-0.02947998046875,
0.01385498046875,
0.0003337860107421875,
-0.018768310546875,
-0.0299072265625,
0.0166473388671875,
0.01776123046875,
0.0303497314453125,
0.01910400390625,
0.01346588134765625,
0.0013532638549804688,
-0.04345703125,
-0.0089263916015625,
0.0226593017578125,
0.007564544677734375,
-0.04302978515625,
0.061279296875,
0.01038360595703125,
-0.0186614990234375,
0.039154052734375,
-0.01605224609375,
-0.044189453125,
0.0596923828125,
0.051177978515625,
0.07684326171875,
-0.005870819091796875,
0.0139007568359375,
0.04486083984375,
0.0192108154296875,
-0.00435638427734375,
0.035186767578125,
-0.0028743743896484375,
-0.052337646484375,
-0.022003173828125,
-0.0462646484375,
-0.0126190185546875,
0.028717041015625,
-0.03033447265625,
0.00031757354736328125,
-0.044708251953125,
-0.0352783203125,
-0.011749267578125,
0.02044677734375,
-0.054443359375,
0.0292816162109375,
0.0036296844482421875,
0.051116943359375,
-0.057891845703125,
0.0662841796875,
0.04510498046875,
-0.045379638671875,
-0.0870361328125,
-0.01092529296875,
-0.0109710693359375,
-0.04095458984375,
0.045379638671875,
0.0164794921875,
-0.01806640625,
0.011962890625,
-0.054229736328125,
-0.0731201171875,
0.0948486328125,
0.0283660888671875,
-0.021728515625,
-0.01558685302734375,
0.0029296875,
0.05865478515625,
-0.024993896484375,
0.043304443359375,
0.036376953125,
0.026123046875,
0.0071563720703125,
-0.06268310546875,
0.034881591796875,
-0.036651611328125,
-0.00589752197265625,
-0.00574493408203125,
-0.06378173828125,
0.08929443359375,
-0.0233001708984375,
-0.0264739990234375,
0.0186767578125,
0.05987548828125,
0.04290771484375,
0.0218048095703125,
0.0241546630859375,
0.05419921875,
0.0596923828125,
-0.00606536865234375,
0.06396484375,
-0.0273895263671875,
0.039306640625,
0.08026123046875,
0.005321502685546875,
0.049957275390625,
0.0263519287109375,
-0.021636962890625,
0.06103515625,
0.06463623046875,
0.00016117095947265625,
0.024200439453125,
0.0229949951171875,
-0.00754547119140625,
-0.009490966796875,
0.0102081298828125,
-0.040252685546875,
0.0190277099609375,
0.0190277099609375,
-0.0243682861328125,
0.0047607421875,
-0.0168609619140625,
0.01358795166015625,
-0.01922607421875,
0.0021495819091796875,
0.044891357421875,
0.008148193359375,
-0.060791015625,
0.0775146484375,
-0.0116119384765625,
0.04278564453125,
-0.039581298828125,
-0.00323486328125,
-0.01218414306640625,
0.0169525146484375,
-0.02008056640625,
-0.04437255859375,
0.0034427642822265625,
0.00510406494140625,
-0.005275726318359375,
-0.00208282470703125,
0.03338623046875,
-0.03271484375,
-0.034912109375,
0.013671875,
0.0377197265625,
0.0164947509765625,
0.00783538818359375,
-0.0703125,
0.00954437255859375,
0.00882720947265625,
-0.0445556640625,
0.010345458984375,
0.033233642578125,
0.01300048828125,
0.05767822265625,
0.060211181640625,
0.0007300376892089844,
0.007709503173828125,
-0.01399993896484375,
0.08416748046875,
-0.058746337890625,
-0.03436279296875,
-0.0760498046875,
0.03912353515625,
-0.0111846923828125,
-0.045745849609375,
0.0745849609375,
0.04486083984375,
0.07171630859375,
-0.003513336181640625,
0.05938720703125,
-0.020355224609375,
0.0175933837890625,
-0.040496826171875,
0.044189453125,
-0.0262451171875,
0.0263824462890625,
-0.0237579345703125,
-0.07568359375,
0.00977325439453125,
0.05499267578125,
-0.0275421142578125,
0.017120361328125,
0.06402587890625,
0.060394287109375,
0.000045239925384521484,
-0.002498626708984375,
-0.004749298095703125,
0.0333251953125,
0.0313720703125,
0.060089111328125,
0.05743408203125,
-0.042938232421875,
0.038604736328125,
-0.030517578125,
-0.01416015625,
0.00742340087890625,
-0.0406494140625,
-0.08447265625,
-0.041900634765625,
-0.021514892578125,
-0.041259765625,
-0.0003070831298828125,
0.08233642578125,
0.050933837890625,
-0.058563232421875,
-0.033599853515625,
-0.027099609375,
0.006175994873046875,
-0.01528167724609375,
-0.020782470703125,
0.03570556640625,
-0.0140838623046875,
-0.057159423828125,
0.01369476318359375,
-0.00927734375,
0.0272369384765625,
-0.0254669189453125,
-0.0128631591796875,
-0.025726318359375,
0.01029205322265625,
0.018463134765625,
0.0262603759765625,
-0.061981201171875,
-0.0182647705078125,
0.00335693359375,
-0.01849365234375,
0.005889892578125,
0.03131103515625,
-0.06329345703125,
0.04302978515625,
0.039276123046875,
0.01099395751953125,
0.051025390625,
0.00408935546875,
0.04010009765625,
-0.034576416015625,
0.0179901123046875,
0.01224517822265625,
0.0250701904296875,
0.0207061767578125,
-0.03265380859375,
0.032867431640625,
0.0302581787109375,
-0.044952392578125,
-0.05462646484375,
0.005794525146484375,
-0.07470703125,
-0.0168609619140625,
0.08758544921875,
-0.019195556640625,
-0.033935546875,
0.003826141357421875,
-0.039947509765625,
0.055084228515625,
-0.03289794921875,
0.0703125,
0.0457763671875,
-0.0194244384765625,
-0.0025730133056640625,
-0.0222625732421875,
0.047515869140625,
0.0220947265625,
-0.0721435546875,
-0.0015249252319335938,
0.0277252197265625,
0.0279998779296875,
0.0196533203125,
0.0626220703125,
0.01020050048828125,
0.00824737548828125,
0.01026153564453125,
0.0082244873046875,
-0.0137176513671875,
-0.01358795166015625,
-0.00044727325439453125,
-0.0060577392578125,
-0.01224517822265625,
-0.0203704833984375
]
] |
duytintruong/ppo-LunarLander-v2 | 2023-09-29T12:11:05.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | duytintruong | null | null | duytintruong/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-09-29T12:10:41 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 252.53 +/- 22.08
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
| 784 | [
[
-0.00023484230041503906,
-0.02716064453125,
0.017059326171875,
0.023345947265625,
-0.00606536865234375,
0.002735137939453125,
0.034454345703125,
-0.012115478515625,
0.019866943359375,
0.06500244140625,
-0.043212890625,
-0.035247802734375,
-0.0343017578125,
-0.01922607421875,
0.0017528533935546875,
0.06982421875,
0.0015935897827148438,
0.028167724609375,
0.00954437255859375,
-0.00704193115234375,
-0.018341064453125,
-0.0218658447265625,
-0.05206298828125,
-0.07147216796875,
0.011993408203125,
0.050201416015625,
0.054229736328125,
0.0242462158203125,
0.028106689453125,
0.0292205810546875,
-0.0176849365234375,
-0.0322265625,
-0.04132080078125,
-0.0012683868408203125,
-0.000614166259765625,
-0.044403076171875,
-0.0633544921875,
0.01415252685546875,
0.03961181640625,
0.004047393798828125,
-0.0198822021484375,
0.004917144775390625,
-0.0282745361328125,
0.031097412109375,
-0.037567138671875,
0.015777587890625,
-0.01535797119140625,
0.0017938613891601562,
0.007350921630859375,
0.01081085205078125,
-0.0259246826171875,
-0.00986480712890625,
0.020660400390625,
-0.0906982421875,
-0.00533294677734375,
-0.021514892578125,
0.09295654296875,
0.0093994140625,
-0.037994384765625,
0.0011854171752929688,
-0.0190277099609375,
0.034088134765625,
-0.027191162109375,
0.0103607177734375,
0.049163818359375,
0.036163330078125,
0.0031528472900390625,
-0.06915283203125,
-0.016387939453125,
-0.032623291015625,
0.0010671615600585938,
0.0316162109375,
0.0154876708984375,
0.0167236328125,
0.0150146484375,
0.0107574462890625,
-0.0240478515625,
0.0241241455078125,
-0.04608154296875,
-0.0239410400390625,
0.0355224609375,
0.0182342529296875,
0.00534820556640625,
-0.00782012939453125,
-0.03533935546875,
-0.01183319091796875,
-0.03143310546875,
0.0230560302734375,
0.0303955078125,
0.0128326416015625,
-0.05889892578125,
0.0657958984375,
-0.019073486328125,
0.031524658203125,
0.0303192138671875,
-0.0003750324249267578,
0.0487060546875,
0.0093994140625,
-0.00792694091796875,
-0.025970458984375,
0.039337158203125,
0.0675048828125,
0.00406646728515625,
0.005634307861328125,
-0.03369140625,
-0.018798828125,
0.0120391845703125,
-0.055511474609375,
-0.024932861328125,
0.03375244140625,
-0.01983642578125,
-0.048797607421875,
0.0350341796875,
-0.0418701171875,
-0.02508544921875,
-0.0006508827209472656,
0.0272216796875,
-0.04718017578125,
-0.041290283203125,
0.0043487548828125,
-0.032470703125,
0.050048828125,
0.00983428955078125,
-0.06329345703125,
0.0309295654296875,
0.04852294921875,
0.0660400390625,
0.041259765625,
-0.0479736328125,
-0.0491943359375,
0.0135040283203125,
-0.031494140625,
0.05523681640625,
0.0172576904296875,
-0.03375244140625,
0.02178955078125,
0.0003981590270996094,
0.01496124267578125,
-0.03570556640625,
0.0181732177734375,
-0.032989501953125,
0.02069091796875,
0.006561279296875,
-0.0308990478515625,
-0.0007753372192382812,
0.03253173828125,
-0.04571533203125,
0.0982666015625,
0.060394287109375,
-0.0399169921875,
0.0259857177734375,
-0.046173095703125,
-0.005298614501953125,
0.036407470703125,
0.017578125,
-0.05078125,
-0.0019855499267578125,
-0.0310516357421875,
0.01300811767578125,
0.004825592041015625,
0.003040313720703125,
-0.02630615234375,
-0.0268402099609375,
0.0055084228515625,
0.0567626953125,
0.06378173828125,
0.015625,
-0.002384185791015625,
0.0144195556640625,
-0.043670654296875,
-0.00995635986328125,
0.00634765625,
-0.0202789306640625,
-0.0110321044921875,
-0.0171661376953125,
0.037567138671875,
0.0171051025390625,
0.034027099609375,
-0.034393310546875,
0.0357666015625,
-0.039306640625,
0.014068603515625,
0.0498046875,
-0.00911712646484375,
0.055999755859375,
-0.0478515625,
0.023529052734375,
-0.01238250732421875,
0.0191497802734375,
0.01395416259765625,
-0.0253143310546875,
-0.045684814453125,
-0.036285400390625,
-0.002056121826171875,
0.058013916015625,
-0.08660888671875,
0.04913330078125,
0.015625,
-0.0548095703125,
-0.014678955078125,
-0.01074981689453125,
0.03643798828125,
0.018890380859375,
0.003299713134765625,
-0.006404876708984375,
-0.042510986328125,
-0.060699462890625,
0.017333984375,
-0.04833984375,
-0.01690673828125,
0.00007045269012451172,
0.047637939453125,
-0.0242462158203125,
0.058746337890625,
-0.0262603759765625,
-0.0253448486328125,
-0.02288818359375,
0.01381683349609375,
0.019866943359375,
0.053558349609375,
0.06768798828125,
-0.041107177734375,
-0.03668212890625,
-0.0190582275390625,
-0.063232421875,
-0.0302581787109375,
0.01092529296875,
-0.01129150390625,
0.0008001327514648438,
0.0238800048828125,
-0.055023193359375,
0.00653076171875,
0.04254150390625,
-0.07159423828125,
0.051513671875,
-0.02630615234375,
-0.00007575750350952148,
-0.09185791015625,
0.01305389404296875,
0.0162200927734375,
-0.024261474609375,
-0.055511474609375,
0.0236968994140625,
0.01108551025390625,
-0.004302978515625,
-0.050994873046875,
0.064453125,
-0.037841796875,
0.0016231536865234375,
-0.03228759765625,
-0.00919342041015625,
-0.01050567626953125,
-0.0042266845703125,
0.0018405914306640625,
0.04364013671875,
0.0792236328125,
-0.0303955078125,
0.0430908203125,
0.04290771484375,
0.00759124755859375,
0.053436279296875,
-0.042633056640625,
0.008880615234375,
-0.0184478759765625,
0.0185546875,
-0.045166015625,
-0.04400634765625,
0.042388916015625,
-0.035675048828125,
0.0223541259765625,
-0.0321044921875,
-0.0238037109375,
-0.03369140625,
-0.04229736328125,
0.0134735107421875,
0.043975830078125,
-0.0208282470703125,
0.05322265625,
0.048980712890625,
0.0081024169921875,
-0.03924560546875,
-0.03070068359375,
-0.013458251953125,
-0.0196685791015625,
-0.0293731689453125,
0.032073974609375,
0.0093994140625,
-0.03436279296875,
-0.0156097412109375,
0.002529144287109375,
-0.0149383544921875,
0.006168365478515625,
0.033355712890625,
0.028564453125,
-0.00170135498046875,
-0.020263671875,
-0.028594970703125,
-0.049652099609375,
-0.01038360595703125,
-0.010589599609375,
0.047271728515625,
-0.0190277099609375,
0.0263824462890625,
-0.059112548828125,
-0.00348663330078125,
0.052276611328125,
0.0176239013671875,
0.05859375,
0.0303192138671875,
-0.0380859375,
-0.00710296630859375,
-0.0239410400390625,
-0.01154327392578125,
-0.03826904296875,
0.03167724609375,
-0.0396728515625,
-0.0400390625,
0.050628662109375,
0.00003361701965332031,
-0.02642822265625,
0.041748046875,
0.040374755859375,
-0.0056915283203125,
0.04656982421875,
0.06878662109375,
-0.00760650634765625,
0.05059814453125,
-0.04931640625,
-0.046417236328125,
-0.053619384765625,
-0.0423583984375,
-0.0268096923828125,
0.0167999267578125,
-0.028533935546875,
-0.0178985595703125,
0.0093231201171875,
0.032196044921875,
-0.0533447265625,
0.06182861328125,
-0.030059814453125,
0.042510986328125,
0.0406494140625,
0.01081085205078125,
-0.0193634033203125,
-0.038116455078125,
-0.00330352783203125,
0.0158538818359375,
-0.0232696533203125,
-0.0380859375,
0.06817626953125,
0.039703369140625,
0.052459716796875,
0.005001068115234375,
0.044830322265625,
0.006404876708984375,
0.04473876953125,
-0.038604736328125,
0.033782958984375,
-0.0123138427734375,
-0.06317138671875,
-0.008209228515625,
-0.022186279296875,
-0.052886962890625,
0.0129852294921875,
-0.030487060546875,
-0.0665283203125,
-0.011749267578125,
0.006420135498046875,
-0.0196990966796875,
0.005298614501953125,
-0.03704833984375,
0.07135009765625,
-0.0242767333984375,
-0.02435302734375,
0.0106048583984375,
-0.04791259765625,
0.0185089111328125,
0.0135040283203125,
-0.003620147705078125,
-0.02490234375,
-0.0181427001953125,
0.050048828125,
-0.032958984375,
0.043701171875,
-0.057586669921875,
0.013031005859375,
0.0166015625,
0.00891876220703125,
0.0274810791015625,
0.031951904296875,
-0.0117034912109375,
0.001331329345703125,
0.00582122802734375,
-0.052276611328125,
-0.0032062530517578125,
0.031219482421875,
-0.09857177734375,
-0.0046539306640625,
-0.057861328125,
-0.02325439453125,
0.0090179443359375,
0.020111083984375,
0.03948974609375,
0.00940704345703125,
-0.0279998779296875,
0.00021457672119140625,
0.0059661865234375,
0.00882720947265625,
0.01517486572265625,
0.0614013671875,
-0.035797119140625,
-0.061126708984375,
0.0298919677734375,
0.0017242431640625,
-0.0007538795471191406,
0.0221099853515625,
0.00569915771484375,
-0.0225372314453125,
-0.042083740234375,
-0.0098419189453125,
0.0309600830078125,
-0.0251007080078125,
-0.0134429931640625,
-0.0113525390625,
-0.0227508544921875,
-0.0256500244140625,
-0.0291290283203125,
-0.046112060546875,
-0.0204315185546875,
-0.0330810546875,
-0.0225067138671875,
0.0256195068359375,
0.0499267578125,
-0.03021240234375,
0.08660888671875,
-0.034942626953125,
0.03338623046875,
0.010040283203125,
0.04132080078125,
-0.058624267578125,
-0.0338134765625,
-0.026611328125,
-0.0174560546875,
-0.03155517578125,
-0.06683349609375,
0.03271484375,
-0.016204833984375,
0.05377197265625,
0.028167724609375,
-0.010833740234375,
0.0254974365234375,
-0.01161956787109375,
0.055572509765625,
0.033355712890625,
-0.0716552734375,
0.0283355712890625,
-0.051239013671875,
0.0092010498046875,
0.062469482421875,
0.0146331787109375,
-0.01800537109375,
-0.0259246826171875,
-0.0601806640625,
-0.06903076171875,
0.08331298828125,
0.03216552734375,
-0.00598907470703125,
0.0221099853515625,
0.055267333984375,
-0.00547027587890625,
0.00682830810546875,
-0.06524658203125,
-0.0196380615234375,
-0.0264129638671875,
-0.01265716552734375,
-0.0196990966796875,
-0.01195526123046875,
-0.0140533447265625,
0.00411224365234375,
0.06378173828125,
-0.01079559326171875,
0.0202789306640625,
0.00621795654296875,
-0.00850677490234375,
-0.0304107666015625,
-0.03729248046875,
0.0280609130859375,
0.0230560302734375,
-0.06353759765625,
-0.015655517578125,
0.0036869049072265625,
-0.040679931640625,
0.0256195068359375,
0.043426513671875,
-0.0190887451171875,
-0.0178985595703125,
0.0283050537109375,
0.050506591796875,
0.0111541748046875,
-0.0197296142578125,
0.046356201171875,
0.00817108154296875,
-0.034820556640625,
-0.053619384765625,
0.002925872802734375,
-0.0061492919921875,
0.037261962890625,
0.0201873779296875,
0.01031494140625,
-0.0091552734375,
-0.036956787109375,
0.0302734375,
0.0177154541015625,
-0.050048828125,
-0.03607177734375,
0.061126708984375,
0.02532958984375,
-0.05633544921875,
0.044830322265625,
-0.007259368896484375,
-0.03973388671875,
0.06695556640625,
0.031707763671875,
0.0650634765625,
-0.0257415771484375,
0.032989501953125,
0.033935546875,
0.01325225830078125,
-0.0251007080078125,
0.04010009765625,
0.0201568603515625,
-0.07379150390625,
-0.0159454345703125,
-0.01184844970703125,
-0.0523681640625,
0.0155181884765625,
-0.04449462890625,
0.041534423828125,
-0.043975830078125,
-0.03485107421875,
0.0029296875,
0.020721435546875,
-0.0294036865234375,
-0.00514984130859375,
0.0255126953125,
0.0943603515625,
-0.06097412109375,
0.07122802734375,
0.07159423828125,
-0.037261962890625,
-0.03826904296875,
-0.0018377304077148438,
0.02777099609375,
-0.058074951171875,
0.040618896484375,
0.032196044921875,
0.003887176513671875,
0.0096893310546875,
-0.054443359375,
-0.048919677734375,
0.10089111328125,
0.01378631591796875,
-0.003082275390625,
0.0163116455078125,
-0.0151824951171875,
0.0469970703125,
-0.0406494140625,
0.037139892578125,
0.02362060546875,
0.035797119140625,
0.01329803466796875,
-0.0660400390625,
-0.0251312255859375,
-0.03375244140625,
-0.008575439453125,
-0.00312042236328125,
-0.07568359375,
0.08154296875,
0.002880096435546875,
0.0245208740234375,
0.063720703125,
0.03436279296875,
0.055877685546875,
0.0192413330078125,
0.03668212890625,
0.042572021484375,
0.01947021484375,
-0.01904296875,
0.061492919921875,
-0.0224151611328125,
0.0650634765625,
0.050537109375,
-0.05926513671875,
0.038970947265625,
0.0203399658203125,
0.007175445556640625,
0.0357666015625,
0.045928955078125,
-0.01399993896484375,
0.056671142578125,
0.0138092041015625,
-0.0086822509765625,
-0.006305694580078125,
0.0308990478515625,
-0.0193328857421875,
0.033355712890625,
0.01335906982421875,
0.0003542900085449219,
-0.006134033203125,
-0.0013151168823242188,
0.002819061279296875,
-0.00335693359375,
-0.031707763671875,
0.069580078125,
-0.01198577880859375,
-0.047821044921875,
0.031982421875,
0.02423095703125,
0.043548583984375,
-0.062042236328125,
-0.002262115478515625,
-0.01031494140625,
0.04559326171875,
0.00061798095703125,
-0.07171630859375,
-0.002323150634765625,
-0.01418304443359375,
0.00791168212890625,
-0.0176239013671875,
0.0518798828125,
-0.01438140869140625,
-0.020263671875,
0.057403564453125,
0.025238037109375,
0.0025386810302734375,
0.01580810546875,
-0.07073974609375,
-0.012908935546875,
-0.03497314453125,
-0.037933349609375,
0.0160980224609375,
0.020965576171875,
0.0240478515625,
0.0531005859375,
0.03228759765625,
-0.0011396408081054688,
-0.0248565673828125,
-0.00730133056640625,
0.06878662109375,
-0.048065185546875,
-0.05230712890625,
-0.03375244140625,
0.0780029296875,
-0.02264404296875,
-0.06005859375,
0.034332275390625,
0.06951904296875,
0.03912353515625,
-0.0216827392578125,
0.03887939453125,
-0.01435089111328125,
0.0220184326171875,
-0.03253173828125,
0.05548095703125,
-0.0188140869140625,
-0.0088653564453125,
-0.0093231201171875,
-0.051300048828125,
-0.034759521484375,
0.06915283203125,
-0.0013580322265625,
-0.004581451416015625,
0.019775390625,
0.053680419921875,
0.0025920867919921875,
-0.02288818359375,
0.015716552734375,
0.0411376953125,
0.0057373046875,
0.0283355712890625,
0.0706787109375,
-0.04681396484375,
0.01110076904296875,
-0.039215087890625,
-0.05157470703125,
-0.0189971923828125,
-0.0458984375,
-0.07586669921875,
-0.03143310546875,
-0.0186614990234375,
-0.0701904296875,
0.0158843994140625,
0.062469482421875,
0.0736083984375,
-0.048187255859375,
-0.05084228515625,
-0.0162353515625,
-0.00771331787109375,
-0.01080322265625,
-0.0127105712890625,
0.00746917724609375,
-0.004177093505859375,
-0.04766845703125,
0.018707275390625,
-0.0023746490478515625,
0.0282440185546875,
0.0008997917175292969,
-0.044219970703125,
-0.01312255859375,
-0.02362060546875,
0.0187835693359375,
0.036895751953125,
-0.0216217041015625,
-0.028900146484375,
-0.009124755859375,
-0.0176544189453125,
0.0026683807373046875,
0.036346435546875,
-0.047332763671875,
0.004730224609375,
0.0296173095703125,
-0.0267791748046875,
0.06414794921875,
0.01155853271484375,
0.042236328125,
-0.03948974609375,
0.047149658203125,
0.01861572265625,
0.030487060546875,
0.0151214599609375,
-0.01531219482421875,
0.0484619140625,
0.0268096923828125,
-0.050048828125,
-0.048309326171875,
0.0116729736328125,
-0.08441162109375,
-0.01611328125,
0.08331298828125,
0.0007581710815429688,
-0.01366424560546875,
-0.004764556884765625,
-0.040985107421875,
0.0175018310546875,
-0.033721923828125,
0.036834716796875,
0.035797119140625,
-0.0041961669921875,
-0.02685546875,
-0.0274810791015625,
0.033294677734375,
-0.01068115234375,
-0.044677734375,
-0.029266357421875,
0.034912109375,
0.0321044921875,
0.021820068359375,
0.0675048828125,
-0.01039886474609375,
0.0311431884765625,
0.032745361328125,
0.0216217041015625,
-0.01580810546875,
-0.0239105224609375,
-0.03399658203125,
0.0084991455078125,
0.00803375244140625,
-0.00995635986328125
]
] |
PPV/FoodImageClassifier | 2023-09-29T12:42:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | PPV | null | null | PPV/FoodImageClassifier | 0 | 2 | transformers | 2023-09-29T12:42:28 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: FoodImageClassifier
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8936170339584351
---
# FoodImageClassifier
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
## Example Images
#### Chicken Breast
#### Dosa
#### Guava
#### Idli
#### White Rice
 | 891 | [
[
-0.0257110595703125,
-0.046661376953125,
0.01029205322265625,
0.0287017822265625,
-0.00937652587890625,
0.0025806427001953125,
0.0176544189453125,
-0.0281982421875,
0.0396728515625,
0.0106964111328125,
-0.0206298828125,
-0.0489501953125,
-0.045928955078125,
0.0153961181640625,
-0.0278472900390625,
0.066162109375,
-0.0084991455078125,
0.004070281982421875,
-0.005741119384765625,
-0.01239776611328125,
-0.032867431640625,
-0.0009860992431640625,
-0.035980224609375,
-0.0289764404296875,
0.023529052734375,
0.040435791015625,
0.05712890625,
0.061553955078125,
0.030670166015625,
0.0304412841796875,
0.0207977294921875,
0.00913238525390625,
-0.00962066650390625,
-0.0022869110107421875,
-0.0024433135986328125,
-0.0172271728515625,
-0.01812744140625,
0.0174407958984375,
0.0025691986083984375,
0.01184844970703125,
-0.0090484619140625,
0.039276123046875,
-0.01425933837890625,
0.047576904296875,
-0.045928955078125,
0.039215087890625,
-0.0367431640625,
0.03460693359375,
0.01122283935546875,
0.0011739730834960938,
-0.005260467529296875,
-0.0628662109375,
-0.014892578125,
-0.062042236328125,
0.0026378631591796875,
0.0142669677734375,
0.1063232421875,
0.01003265380859375,
-0.0307464599609375,
-0.0312042236328125,
-0.01236724853515625,
0.0284423828125,
-0.0167694091796875,
-0.003063201904296875,
0.036285400390625,
0.04437255859375,
-0.0191802978515625,
-0.06378173828125,
-0.042938232421875,
0.0018320083618164062,
0.0011377334594726562,
0.01088714599609375,
-0.0268096923828125,
-0.00800323486328125,
-0.00197601318359375,
0.056549072265625,
-0.039093017578125,
-0.017242431640625,
-0.032135009765625,
0.00960540771484375,
0.03680419921875,
-0.006908416748046875,
0.06683349609375,
-0.0174407958984375,
-0.034881591796875,
-0.0230560302734375,
0.0009465217590332031,
0.0227203369140625,
-0.0027675628662109375,
-0.00753021240234375,
-0.01044464111328125,
0.048919677734375,
-0.0093994140625,
0.0526123046875,
0.03863525390625,
-0.0095367431640625,
0.048126220703125,
-0.01010894775390625,
-0.046630859375,
-0.00891876220703125,
0.06890869140625,
0.0638427734375,
0.01053619384765625,
0.0180816650390625,
0.001155853271484375,
0.01378631591796875,
-0.00885772705078125,
-0.04852294921875,
-0.059661865234375,
-0.003448486328125,
-0.04248046875,
-0.0394287109375,
0.005237579345703125,
-0.040374755859375,
-0.014801025390625,
0.01485443115234375,
0.0245513916015625,
-0.017242431640625,
-0.0154266357421875,
-0.005146026611328125,
-0.036285400390625,
0.05609130859375,
0.0167236328125,
-0.0748291015625,
0.01947021484375,
0.02471923828125,
0.053985595703125,
0.042633056640625,
-0.0140228271484375,
-0.017822265625,
0.016326904296875,
-0.0292205810546875,
0.076416015625,
-0.026397705078125,
-0.0400390625,
-0.022613525390625,
0.04266357421875,
-0.0131378173828125,
-0.05084228515625,
0.053436279296875,
-0.0127105712890625,
0.0166778564453125,
-0.048187255859375,
-0.045440673828125,
-0.051361083984375,
0.027130126953125,
-0.03619384765625,
0.06610107421875,
0.03326416015625,
-0.0601806640625,
0.0457763671875,
-0.0567626953125,
-0.02874755859375,
0.0305328369140625,
-0.03692626953125,
-0.053436279296875,
-0.014129638671875,
-0.00823211669921875,
0.032989501953125,
-0.0170745849609375,
0.00804901123046875,
-0.0538330078125,
-0.01169586181640625,
-0.0030269622802734375,
0.019561767578125,
0.052947998046875,
0.03997802734375,
-0.01186370849609375,
0.030670166015625,
-0.032073974609375,
0.01497650146484375,
0.048370361328125,
-0.0178680419921875,
-0.0130767822265625,
-0.0273895263671875,
0.025146484375,
-0.00803375244140625,
0.00704193115234375,
-0.048736572265625,
0.04534912109375,
0.0163726806640625,
0.038116455078125,
0.0523681640625,
-0.00202178955078125,
0.0257415771484375,
-0.037109375,
0.044464111328125,
0.00400543212890625,
0.0283203125,
-0.00499725341796875,
-0.049468994140625,
-0.039764404296875,
-0.030242919921875,
0.01119232177734375,
0.044677734375,
-0.046173095703125,
0.0703125,
0.00677490234375,
-0.037445068359375,
-0.020477294921875,
0.005100250244140625,
0.0108184814453125,
0.05413818359375,
0.0131988525390625,
-0.034271240234375,
-0.05853271484375,
-0.07196044921875,
0.0247344970703125,
-0.01256561279296875,
0.0064544677734375,
0.0102386474609375,
0.036865234375,
-0.0215301513671875,
0.062408447265625,
-0.059600830078125,
-0.01593017578125,
0.0027942657470703125,
0.00701141357421875,
0.003582000732421875,
0.051361083984375,
0.07135009765625,
-0.06500244140625,
-0.046478271484375,
0.004787445068359375,
-0.04583740234375,
0.0068206787109375,
0.029327392578125,
-0.0171966552734375,
0.004451751708984375,
0.017669677734375,
-0.0244903564453125,
0.04150390625,
0.04364013671875,
-0.0523681640625,
0.027130126953125,
-0.0032291412353515625,
0.031585693359375,
-0.09185791015625,
-0.01493072509765625,
0.01202392578125,
-0.030731201171875,
-0.00616455078125,
0.00011271238327026367,
0.0245513916015625,
-0.0198516845703125,
-0.04315185546875,
0.044036865234375,
-0.03167724609375,
-0.00640869140625,
-0.016845703125,
-0.039520263671875,
0.00983428955078125,
0.0081329345703125,
-0.008392333984375,
0.0299530029296875,
0.06463623046875,
-0.0361328125,
0.06353759765625,
0.037994384765625,
-0.027069091796875,
0.02642822265625,
-0.053680419921875,
-0.01335906982421875,
-0.0082550048828125,
0.04779052734375,
-0.083251953125,
-0.042938232421875,
0.0634765625,
-0.0279998779296875,
0.0113372802734375,
-0.01117706298828125,
-0.04150390625,
-0.0574951171875,
-0.033477783203125,
0.033935546875,
0.0631103515625,
-0.06500244140625,
0.028045654296875,
0.0276336669921875,
0.0244903564453125,
-0.01849365234375,
-0.0565185546875,
-0.0020084381103515625,
-0.0225982666015625,
-0.030426025390625,
-0.0023822784423828125,
-0.01202392578125,
0.00628662109375,
0.0330810546875,
-0.0016088485717773438,
-0.01470184326171875,
-0.00890350341796875,
0.058135986328125,
0.0197906494140625,
-0.006633758544921875,
0.0016918182373046875,
-0.0003910064697265625,
0.006641387939453125,
-0.00843048095703125,
-0.03240966796875,
0.03228759765625,
-0.045623779296875,
-0.01161956787109375,
-0.046661376953125,
0.01493072509765625,
0.0340576171875,
0.0016717910766601562,
0.0140228271484375,
0.07598876953125,
-0.0281829833984375,
-0.00879669189453125,
-0.032501220703125,
0.0025424957275390625,
-0.035186767578125,
0.004009246826171875,
-0.03619384765625,
-0.033905029296875,
0.0298614501953125,
0.002292633056640625,
-0.022918701171875,
0.027618408203125,
0.01364898681640625,
-0.01006317138671875,
0.060791015625,
0.036102294921875,
-0.02020263671875,
0.0298614501953125,
-0.0260772705078125,
-0.02288818359375,
-0.04180908203125,
-0.029144287109375,
-0.03155517578125,
-0.01329803466796875,
-0.070556640625,
-0.042816162109375,
0.007110595703125,
-0.004535675048828125,
-0.01258087158203125,
0.04351806640625,
-0.06732177734375,
0.0748291015625,
0.041839599609375,
0.0207672119140625,
-0.007152557373046875,
-0.006763458251953125,
-0.0120849609375,
0.023529052734375,
-0.049224853515625,
-0.023040771484375,
0.036865234375,
0.033905029296875,
0.073486328125,
-0.0296478271484375,
0.0753173828125,
0.009033203125,
0.03533935546875,
-0.07110595703125,
0.041961669921875,
-0.035552978515625,
-0.045928955078125,
0.0010585784912109375,
-0.029083251953125,
-0.06671142578125,
-0.007022857666015625,
0.006397247314453125,
-0.035400390625,
0.0092010498046875,
0.0243682861328125,
-0.0178985595703125,
0.034454345703125,
-0.0855712890625,
0.08477783203125,
-0.0287017822265625,
-0.014251708984375,
0.041259765625,
-0.0273895263671875,
0.0298309326171875,
0.040802001953125,
0.0005068778991699219,
-0.03546142578125,
0.0016689300537109375,
0.037078857421875,
-0.0255584716796875,
0.06976318359375,
-0.0288238525390625,
0.0034847259521484375,
0.0213165283203125,
-0.0004680156707763672,
0.005329132080078125,
0.0023784637451171875,
0.0212554931640625,
-0.0012359619140625,
0.0088348388671875,
-0.045440673828125,
-0.035430908203125,
0.059967041015625,
-0.040374755859375,
-0.0171966552734375,
-0.04827880859375,
-0.01111602783203125,
0.01448822021484375,
0.01145172119140625,
0.0258636474609375,
-0.02191162109375,
-0.0059967041015625,
0.004116058349609375,
0.0293121337890625,
-0.01364898681640625,
0.032684326171875,
0.00635528564453125,
-0.0450439453125,
-0.045440673828125,
0.06536865234375,
0.0050811767578125,
-0.02081298828125,
0.019561767578125,
0.047119140625,
-0.0310211181640625,
-0.00909423828125,
-0.041015625,
-0.00966644287109375,
-0.052490234375,
-0.036651611328125,
-0.0312347412109375,
-0.006496429443359375,
-0.0401611328125,
-0.034454345703125,
-0.01557159423828125,
-0.0176849365234375,
-0.04803466796875,
-0.0205230712890625,
0.03997802734375,
0.049102783203125,
-0.017120361328125,
-0.0017995834350585938,
-0.059906005859375,
0.03680419921875,
0.04937744140625,
0.0187835693359375,
-0.0011196136474609375,
-0.01273345947265625,
0.01116943359375,
-0.0287628173828125,
-0.04827880859375,
-0.06512451171875,
0.05029296875,
0.0305023193359375,
0.0229034423828125,
0.042694091796875,
-0.00595855712890625,
0.053253173828125,
-0.0078887939453125,
0.042510986328125,
0.057098388671875,
-0.062255859375,
0.047393798828125,
-0.0211944580078125,
0.03363037109375,
0.041595458984375,
0.053009033203125,
-0.0299835205078125,
-0.0179443359375,
-0.04376220703125,
-0.053955078125,
0.0012121200561523438,
-0.0038928985595703125,
-0.00861358642578125,
-0.0183258056640625,
0.0157623291015625,
0.027191162109375,
-0.0021686553955078125,
-0.07244873046875,
-0.012451171875,
-0.03399658203125,
-0.031585693359375,
0.02691650390625,
-0.0087890625,
-0.0174407958984375,
-0.04852294921875,
0.044891357421875,
-0.002414703369140625,
-0.004558563232421875,
0.0243377685546875,
0.017120361328125,
-0.045318603515625,
-0.00789642333984375,
0.0100860595703125,
0.0125274658203125,
-0.0235595703125,
0.013153076171875,
-0.012359619140625,
-0.0197906494140625,
0.0243377685546875,
0.00768280029296875,
-0.03057861328125,
-0.006618499755859375,
-0.009490966796875,
0.03912353515625,
0.01666259765625,
-0.017303466796875,
0.0254669189453125,
-0.04931640625,
-0.0178070068359375,
-0.042510986328125,
0.0301971435546875,
0.005275726318359375,
0.01418304443359375,
0.02459716796875,
0.008056640625,
0.0244598388671875,
-0.056793212890625,
0.025054931640625,
0.0185546875,
-0.0004105567932128906,
-0.0176544189453125,
0.034423828125,
0.025146484375,
-0.00644683837890625,
0.03790283203125,
-0.07452392578125,
-0.04315185546875,
0.07623291015625,
0.05029296875,
0.07012939453125,
-0.021881103515625,
0.046630859375,
0.048309326171875,
0.01003265380859375,
-0.0009937286376953125,
0.04559326171875,
-0.0279998779296875,
-0.0516357421875,
0.007640838623046875,
-0.0567626953125,
-0.02716064453125,
0.0254058837890625,
-0.040618896484375,
0.0166015625,
-0.0452880859375,
-0.015716552734375,
0.0210113525390625,
-0.004779815673828125,
-0.05029296875,
0.04046630859375,
0.01800537109375,
0.0640869140625,
-0.07135009765625,
0.057647705078125,
0.0860595703125,
-0.035736083984375,
-0.055908203125,
0.006961822509765625,
0.01393890380859375,
-0.0755615234375,
0.06402587890625,
0.0360107421875,
0.007190704345703125,
-0.0157012939453125,
-0.060455322265625,
-0.0355224609375,
0.072998046875,
0.0005846023559570312,
-0.02276611328125,
-0.00644683837890625,
-0.0275726318359375,
0.01013946533203125,
-0.035003662109375,
0.020355224609375,
0.00792694091796875,
0.0498046875,
0.03533935546875,
-0.059417724609375,
-0.005336761474609375,
-0.031951904296875,
0.0243377685546875,
-0.0010232925415039062,
-0.07421875,
0.037109375,
-0.032318115234375,
-0.028289794921875,
0.01293182373046875,
0.04833984375,
-0.00681304931640625,
0.037384033203125,
0.05230712890625,
0.068115234375,
0.0379638671875,
-0.0170135498046875,
0.054351806640625,
0.00470733642578125,
0.0404052734375,
0.09991455078125,
-0.019683837890625,
0.006687164306640625,
0.01375579833984375,
-0.015472412109375,
0.0290985107421875,
0.10308837890625,
-0.0528564453125,
0.03424072265625,
0.035308837890625,
-0.00905609130859375,
0.004253387451171875,
-0.0183868408203125,
-0.04400634765625,
0.0462646484375,
0.00357818603515625,
-0.048675537109375,
-0.022674560546875,
0.01174163818359375,
0.0035114288330078125,
-0.0036525726318359375,
-0.0228271484375,
0.058837890625,
-0.0031528472900390625,
-0.017059326171875,
0.0634765625,
-0.014984130859375,
0.052825927734375,
-0.0301055908203125,
-0.0159759521484375,
-0.0029354095458984375,
-0.013458251953125,
-0.038482666015625,
-0.051971435546875,
0.0126495361328125,
-0.021759033203125,
-0.0038776397705078125,
-0.007305145263671875,
0.052154541015625,
-0.028076171875,
-0.04608154296875,
0.0160064697265625,
0.0009365081787109375,
0.01189422607421875,
0.0209503173828125,
-0.074462890625,
0.02972412109375,
-0.00982666015625,
-0.00913238525390625,
0.01117706298828125,
0.020538330078125,
0.040618896484375,
0.04248046875,
0.026702880859375,
-0.005649566650390625,
-0.0029315948486328125,
-0.0215911865234375,
0.06427001953125,
-0.047607421875,
-0.0283203125,
-0.041351318359375,
0.0037689208984375,
-0.002750396728515625,
-0.006938934326171875,
0.06317138671875,
0.06109619140625,
0.08941650390625,
-0.050048828125,
0.05731201171875,
-0.038909912109375,
-0.00928497314453125,
-0.020172119140625,
0.03656005859375,
-0.05072021484375,
-0.039398193359375,
-0.0200347900390625,
-0.0266876220703125,
-0.0015316009521484375,
0.054962158203125,
-0.01548004150390625,
0.007568359375,
0.05084228515625,
0.041900634765625,
-0.0161285400390625,
-0.005340576171875,
0.029083251953125,
-0.0022563934326171875,
-0.00341033935546875,
0.0262451171875,
0.0567626953125,
-0.0302276611328125,
0.0063934326171875,
-0.046295166015625,
-0.040130615234375,
-0.0125579833984375,
-0.07293701171875,
-0.031768798828125,
-0.05889892578125,
-0.046478271484375,
-0.01335906982421875,
-0.0023345947265625,
0.0718994140625,
0.1097412109375,
-0.06634521484375,
-0.0268707275390625,
-0.0232391357421875,
0.0174713134765625,
-0.00002682209014892578,
-0.02459716796875,
0.022003173828125,
-0.01045989990234375,
-0.057861328125,
0.01055145263671875,
0.017242431640625,
0.046051025390625,
0.0213165283203125,
0.01381683349609375,
-0.01071929931640625,
-0.0209503173828125,
0.038482666015625,
0.0682373046875,
-0.038543701171875,
-0.014068603515625,
-0.0360107421875,
0.017303466796875,
0.031768798828125,
0.0312347412109375,
-0.02435302734375,
0.03631591796875,
0.0260772705078125,
0.03216552734375,
0.004467010498046875,
0.02490234375,
0.0019588470458984375,
-0.041351318359375,
0.01470947265625,
0.0055389404296875,
0.034820556640625,
0.038818359375,
-0.032073974609375,
0.04034423828125,
0.033111572265625,
-0.051361083984375,
-0.044219970703125,
0.013214111328125,
-0.0916748046875,
-0.01497650146484375,
0.0609130859375,
-0.024017333984375,
-0.06573486328125,
0.033538818359375,
-0.0131683349609375,
0.03131103515625,
-0.05255126953125,
0.08074951171875,
0.0205078125,
-0.01500701904296875,
-0.005832672119140625,
0.00782012939453125,
0.02349853515625,
0.0019292831420898438,
-0.09185791015625,
-0.02850341796875,
0.040679931640625,
0.04248046875,
0.0308380126953125,
0.0292205810546875,
-0.011016845703125,
0.0137939453125,
0.0031528472900390625,
0.032989501953125,
-0.00679779052734375,
-0.0021114349365234375,
-0.002735137939453125,
0.00905609130859375,
0.002887725830078125,
-0.0804443359375
]
] |
am-infoweb/QA_SYNTH_29_SEPT_WITH_FINETUNE_1.1 | 2023-09-29T20:21:10.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | am-infoweb | null | null | am-infoweb/QA_SYNTH_29_SEPT_WITH_FINETUNE_1.1 | 0 | 2 | transformers | 2023-09-29T18:17:19 | ---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTH_29_SEPT_WITH_FINETUNE_1.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# QA_SYNTH_29_SEPT_WITH_FINETUNE_1.1
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0036
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1705 | 1.0 | 10935 | 0.1407 |
| 0.1014 | 2.0 | 21870 | 0.0550 |
| 0.0426 | 3.0 | 32805 | 0.0541 |
| 0.0028 | 4.0 | 43740 | 0.0320 |
| 0.0215 | 5.0 | 54675 | 0.0307 |
| 0.0065 | 6.0 | 65610 | 0.0119 |
| 0.014 | 7.0 | 76545 | 0.0074 |
| 0.0 | 8.0 | 87480 | 0.0037 |
| 0.0 | 9.0 | 98415 | 0.0047 |
| 0.0 | 10.0 | 109350 | 0.0036 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
| 1,797 | [
[
-0.04046630859375,
-0.047393798828125,
0.0186614990234375,
0.0011539459228515625,
-0.0159912109375,
-0.0243682861328125,
-0.0097503662109375,
-0.01038360595703125,
0.00626373291015625,
0.02972412109375,
-0.0618896484375,
-0.047271728515625,
-0.051239013671875,
-0.006114959716796875,
-0.017120361328125,
0.08697509765625,
0.0063018798828125,
0.025726318359375,
-0.002933502197265625,
-0.0102691650390625,
-0.033538818359375,
-0.043243408203125,
-0.06793212890625,
-0.043212890625,
0.0227203369140625,
0.0234527587890625,
0.05804443359375,
0.05615234375,
0.03460693359375,
0.0181732177734375,
-0.03387451171875,
-0.001552581787109375,
-0.04443359375,
-0.035736083984375,
0.0080413818359375,
-0.0450439453125,
-0.05523681640625,
0.005374908447265625,
0.055328369140625,
0.0299835205078125,
-0.007213592529296875,
0.041656494140625,
0.004608154296875,
0.036224365234375,
-0.0255584716796875,
0.0169219970703125,
-0.036163330078125,
0.0282135009765625,
-0.00958251953125,
-0.0239715576171875,
-0.02313232421875,
-0.004047393798828125,
0.0018663406372070312,
-0.041290283203125,
0.032135009765625,
0.0024623870849609375,
0.09649658203125,
0.022125244140625,
-0.0210418701171875,
0.0120391845703125,
-0.0577392578125,
0.0577392578125,
-0.049072265625,
0.0248565673828125,
0.0232086181640625,
0.031463623046875,
0.0109100341796875,
-0.05780029296875,
-0.037689208984375,
0.0033321380615234375,
-0.00017595291137695312,
0.0193328857421875,
-0.0199737548828125,
-0.0019407272338867188,
0.05706787109375,
0.0433349609375,
-0.050872802734375,
0.0157928466796875,
-0.045166015625,
-0.0199737548828125,
0.0335693359375,
0.041015625,
-0.0100250244140625,
-0.0215301513671875,
-0.03662109375,
-0.0196990966796875,
-0.035797119140625,
0.00904083251953125,
0.04742431640625,
0.0201263427734375,
-0.037445068359375,
0.037750244140625,
-0.005390167236328125,
0.059967041015625,
0.01522064208984375,
-0.00930023193359375,
0.0428466796875,
-0.004852294921875,
-0.03448486328125,
-0.00505828857421875,
0.0577392578125,
0.03753662109375,
0.0016870498657226562,
0.0115966796875,
-0.0182342529296875,
-0.00579833984375,
0.0148773193359375,
-0.0718994140625,
-0.0221405029296875,
0.0192413330078125,
-0.040191650390625,
-0.0399169921875,
0.0166778564453125,
-0.04144287109375,
0.0225982666015625,
-0.04095458984375,
0.041656494140625,
-0.030120849609375,
-0.0084075927734375,
0.00017571449279785156,
-0.00672149658203125,
0.023223876953125,
0.00653839111328125,
-0.0538330078125,
0.0350341796875,
0.038970947265625,
0.04644775390625,
0.00873565673828125,
-0.0125274658203125,
-0.0263671875,
-0.004444122314453125,
-0.025970458984375,
0.042083740234375,
-0.004077911376953125,
-0.0273895263671875,
-0.0188751220703125,
0.0226593017578125,
-0.0129241943359375,
-0.04248046875,
0.06817626953125,
-0.0246124267578125,
0.027130126953125,
-0.001888275146484375,
-0.048675537109375,
-0.01541900634765625,
0.02899169921875,
-0.05145263671875,
0.08642578125,
0.020721435546875,
-0.056793212890625,
0.034454345703125,
-0.033294677734375,
0.00794219970703125,
-0.00914764404296875,
-0.011260986328125,
-0.07305908203125,
-0.00897979736328125,
-0.00159454345703125,
0.02044677734375,
-0.0247039794921875,
0.0187225341796875,
-0.0194854736328125,
-0.03662109375,
0.0030422210693359375,
-0.04296875,
0.07135009765625,
0.0201263427734375,
-0.03765869140625,
0.018341064453125,
-0.09588623046875,
0.03509521484375,
0.01377105712890625,
-0.029998779296875,
0.00791168212890625,
-0.03826904296875,
0.035797119140625,
0.0195770263671875,
0.01279449462890625,
-0.0298919677734375,
0.0075836181640625,
-0.027618408203125,
0.0193634033203125,
0.0487060546875,
0.0038890838623046875,
0.00786590576171875,
-0.036773681640625,
0.030517578125,
0.0216064453125,
0.02569580078125,
0.0104217529296875,
-0.033843994140625,
-0.06378173828125,
-0.0102691650390625,
0.025787353515625,
0.03192138671875,
-0.0066070556640625,
0.059722900390625,
-0.0009207725524902344,
-0.053497314453125,
-0.0194244384765625,
0.0012922286987304688,
0.038330078125,
0.04852294921875,
0.0309600830078125,
-0.006805419921875,
-0.044891357421875,
-0.0843505859375,
0.00786590576171875,
0.005401611328125,
0.0074462890625,
0.023223876953125,
0.045318603515625,
-0.0166473388671875,
0.054901123046875,
-0.04852294921875,
-0.0272064208984375,
-0.0186920166015625,
0.00811767578125,
0.043060302734375,
0.062469482421875,
0.061187744140625,
-0.038665771484375,
-0.0225067138671875,
-0.0147857666015625,
-0.047576904296875,
0.0157470703125,
-0.011932373046875,
-0.0267486572265625,
0.004650115966796875,
0.01641845703125,
-0.043853759765625,
0.04638671875,
0.036346435546875,
-0.02777099609375,
0.055694580078125,
-0.032623291015625,
-0.00421142578125,
-0.09161376953125,
0.0228118896484375,
0.00801849365234375,
-0.0150604248046875,
-0.02496337890625,
0.0019121170043945312,
0.015838623046875,
-0.0218048095703125,
-0.023956298828125,
0.041015625,
-0.018341064453125,
0.00669097900390625,
-0.006000518798828125,
-0.0159454345703125,
0.002223968505859375,
0.053375244140625,
0.01171112060546875,
0.0467529296875,
0.05047607421875,
-0.035125732421875,
0.02020263671875,
0.0328369140625,
-0.022491455078125,
0.0386962890625,
-0.06256103515625,
0.0128631591796875,
0.0008769035339355469,
0.0012979507446289062,
-0.049346923828125,
-0.008575439453125,
0.0283660888671875,
-0.03546142578125,
0.02740478515625,
-0.0277862548828125,
-0.01459503173828125,
-0.03265380859375,
-0.0055999755859375,
0.0181427001953125,
0.04052734375,
-0.028839111328125,
0.034637451171875,
-0.004688262939453125,
0.020111083984375,
-0.035125732421875,
-0.05584716796875,
-0.0152435302734375,
-0.02105712890625,
-0.035858154296875,
0.0258026123046875,
-0.01352691650390625,
-0.0035381317138671875,
-0.0033111572265625,
-0.0068206787109375,
-0.018951416015625,
-0.006946563720703125,
0.0328369140625,
0.0276336669921875,
-0.01702880859375,
-0.0149078369140625,
-0.004467010498046875,
-0.03265380859375,
0.0240478515625,
-0.01129913330078125,
0.05029296875,
-0.0111236572265625,
-0.019134521484375,
-0.06500244140625,
0.00019156932830810547,
0.032470703125,
-0.0166778564453125,
0.060577392578125,
0.057037353515625,
-0.035980224609375,
-0.01103973388671875,
-0.0255279541015625,
-0.00897216796875,
-0.02996826171875,
0.04071044921875,
-0.035980224609375,
-0.0179595947265625,
0.06329345703125,
0.00972747802734375,
-0.0024280548095703125,
0.0748291015625,
0.038116455078125,
0.0162353515625,
0.08697509765625,
0.0146026611328125,
0.0027217864990234375,
0.0193023681640625,
-0.08673095703125,
-0.01326751708984375,
-0.0623779296875,
-0.0289154052734375,
-0.047027587890625,
-0.019805908203125,
-0.04473876953125,
-0.00495147705078125,
0.0218048095703125,
0.004703521728515625,
-0.049468994140625,
0.0254364013671875,
-0.0308837890625,
0.0189666748046875,
0.060272216796875,
0.038055419921875,
0.0034503936767578125,
-0.003978729248046875,
-0.020050048828125,
-0.0074462890625,
-0.06396484375,
-0.032257080078125,
0.10009765625,
0.0217132568359375,
0.051025390625,
-0.007442474365234375,
0.061737060546875,
-0.002643585205078125,
0.0119781494140625,
-0.049468994140625,
0.025604248046875,
0.006381988525390625,
-0.07147216796875,
-0.01233673095703125,
-0.04241943359375,
-0.0579833984375,
0.0058135986328125,
-0.03204345703125,
-0.039306640625,
0.0197906494140625,
0.024658203125,
-0.03594970703125,
0.03399658203125,
-0.0283660888671875,
0.09033203125,
-0.0188140869140625,
-0.031219482421875,
-0.01372528076171875,
-0.035186767578125,
0.017364501953125,
-0.00550079345703125,
-0.00852203369140625,
0.0082855224609375,
0.022705078125,
0.06280517578125,
-0.056396484375,
0.036895751953125,
-0.02117919921875,
0.0243377685546875,
0.029632568359375,
-0.00797271728515625,
0.049591064453125,
0.0246124267578125,
-0.0110931396484375,
0.0117034912109375,
0.00688934326171875,
-0.035430908203125,
-0.03668212890625,
0.059173583984375,
-0.0865478515625,
-0.0228729248046875,
-0.04107666015625,
-0.038909912109375,
-0.000980377197265625,
0.0235137939453125,
0.0489501953125,
0.0692138671875,
-0.00351715087890625,
0.0175018310546875,
0.0447998046875,
-0.004344940185546875,
0.01354217529296875,
0.02301025390625,
-0.0034847259521484375,
-0.05230712890625,
0.05096435546875,
0.0014638900756835938,
0.025360107421875,
0.0009813308715820312,
0.00852203369140625,
-0.0260009765625,
-0.04046630859375,
-0.04217529296875,
0.01214599609375,
-0.052947998046875,
-0.022552490234375,
-0.0297393798828125,
-0.03509521484375,
-0.0199737548828125,
0.005428314208984375,
-0.033233642578125,
-0.0293121337890625,
-0.046539306640625,
-0.01641845703125,
0.02606201171875,
0.03338623046875,
-0.0020580291748046875,
0.033538818359375,
-0.05438232421875,
-0.0002562999725341797,
0.0095977783203125,
0.0285491943359375,
0.001651763916015625,
-0.07037353515625,
-0.026092529296875,
0.0069732666015625,
-0.039703369140625,
-0.049346923828125,
0.043182373046875,
0.0080108642578125,
0.055084228515625,
0.044342041015625,
-0.01326751708984375,
0.07269287109375,
-0.0229034423828125,
0.053436279296875,
0.022216796875,
-0.0487060546875,
0.03924560546875,
-0.0175933837890625,
0.0227813720703125,
0.035980224609375,
0.038970947265625,
-0.0100250244140625,
-0.0162200927734375,
-0.095703125,
-0.056365966796875,
0.06878662109375,
0.0292510986328125,
0.006195068359375,
0.0037555694580078125,
0.0307159423828125,
-0.0115203857421875,
0.00032639503479003906,
-0.057525634765625,
-0.056640625,
-0.01497650146484375,
-0.013702392578125,
-0.008026123046875,
-0.0205078125,
-0.020538330078125,
-0.040618896484375,
0.07147216796875,
0.0020809173583984375,
0.024505615234375,
0.0160980224609375,
0.0085296630859375,
-0.0230560302734375,
-0.0009236335754394531,
0.04656982421875,
0.06097412109375,
-0.0496826171875,
-0.005443572998046875,
0.01467132568359375,
-0.0265045166015625,
0.0010280609130859375,
0.0258941650390625,
-0.01629638671875,
0.013336181640625,
0.0184326171875,
0.072265625,
0.0235443115234375,
-0.02044677734375,
0.02978515625,
-0.005466461181640625,
-0.0293426513671875,
-0.049591064453125,
0.01227569580078125,
-0.01113128662109375,
0.0179595947265625,
0.0240020751953125,
0.04058837890625,
0.00582122802734375,
-0.0205230712890625,
0.0200347900390625,
0.02001953125,
-0.047607421875,
-0.0208892822265625,
0.07574462890625,
-0.00958251953125,
-0.0216064453125,
0.052032470703125,
-0.006946563720703125,
-0.0219573974609375,
0.0733642578125,
0.04046630859375,
0.0621337890625,
-0.0075225830078125,
-0.009246826171875,
0.0699462890625,
0.003055572509765625,
-0.001071929931640625,
0.036163330078125,
0.0169525146484375,
-0.029632568359375,
-0.00914764404296875,
-0.051483154296875,
-0.0183563232421875,
0.0396728515625,
-0.091552734375,
0.04071044921875,
-0.035369873046875,
-0.046173095703125,
0.0198516845703125,
0.00872039794921875,
-0.07879638671875,
0.04150390625,
0.0029621124267578125,
0.08740234375,
-0.060943603515625,
0.054107666015625,
0.044921875,
-0.041229248046875,
-0.08502197265625,
-0.0287628173828125,
-0.006389617919921875,
-0.0587158203125,
0.06256103515625,
-0.00180816650390625,
0.0290985107421875,
0.0189971923828125,
-0.0322265625,
-0.0653076171875,
0.0855712890625,
0.0109405517578125,
-0.049713134765625,
0.0101470947265625,
0.0189666748046875,
0.043609619140625,
-0.014068603515625,
0.04449462890625,
0.0195465087890625,
0.0252532958984375,
0.006893157958984375,
-0.06903076171875,
-0.00366973876953125,
-0.0223236083984375,
0.004718780517578125,
0.0134429931640625,
-0.05096435546875,
0.08251953125,
-0.009796142578125,
0.0244293212890625,
0.0243682861328125,
0.041961669921875,
0.025543212890625,
0.018524169921875,
0.031768798828125,
0.07757568359375,
0.03643798828125,
-0.0204010009765625,
0.07232666015625,
-0.053375244140625,
0.0682373046875,
0.07781982421875,
0.012603759765625,
0.0445556640625,
0.02032470703125,
-0.0290374755859375,
0.0297393798828125,
0.059844970703125,
-0.0267486572265625,
0.02325439453125,
0.01654052734375,
-0.00038242340087890625,
-0.0330810546875,
0.0298309326171875,
-0.04962158203125,
0.02227783203125,
0.0038051605224609375,
-0.059600830078125,
-0.022613525390625,
-0.013702392578125,
0.005664825439453125,
-0.0157318115234375,
-0.03521728515625,
0.037933349609375,
-0.0181427001953125,
-0.0287017822265625,
0.066162109375,
0.004383087158203125,
0.017669677734375,
-0.049835205078125,
-0.01242828369140625,
-0.01549530029296875,
0.036224365234375,
-0.026336669921875,
-0.040863037109375,
0.0208587646484375,
-0.004253387451171875,
-0.017425537109375,
0.006622314453125,
0.020050048828125,
-0.0198822021484375,
-0.06591796875,
0.0020313262939453125,
0.02203369140625,
0.0110931396484375,
0.00562286376953125,
-0.06646728515625,
0.0002906322479248047,
-0.0014524459838867188,
-0.03240966796875,
0.00879669189453125,
0.0263671875,
0.00411224365234375,
0.040863037109375,
0.041748046875,
0.0016584396362304688,
0.006107330322265625,
0.0106964111328125,
0.07769775390625,
-0.04766845703125,
-0.047088623046875,
-0.041412353515625,
0.036468505859375,
-0.0106353759765625,
-0.06719970703125,
0.05133056640625,
0.087890625,
0.06439208984375,
-0.0157318115234375,
0.038116455078125,
0.00015747547149658203,
0.033905029296875,
-0.043548583984375,
0.0458984375,
-0.0399169921875,
0.0036602020263671875,
-0.0194244384765625,
-0.07086181640625,
-0.00942230224609375,
0.04412841796875,
-0.0201568603515625,
0.01140594482421875,
0.037750244140625,
0.058441162109375,
-0.0073394775390625,
-0.0022373199462890625,
0.0169525146484375,
0.01122283935546875,
0.0108184814453125,
0.038177490234375,
0.033294677734375,
-0.07147216796875,
0.044097900390625,
-0.048858642578125,
-0.0110321044921875,
-0.00091552734375,
-0.041290283203125,
-0.06317138671875,
-0.0266876220703125,
-0.037567138671875,
-0.040618896484375,
-0.001323699951171875,
0.07843017578125,
0.0628662109375,
-0.061492919921875,
-0.0219268798828125,
-0.0060577392578125,
-0.0257415771484375,
-0.02886962890625,
-0.019439697265625,
0.047149658203125,
-0.016204833984375,
-0.06842041015625,
-0.009063720703125,
-0.027191162109375,
0.025726318359375,
-0.018463134765625,
-0.0223388671875,
-0.00624847412109375,
-0.0255126953125,
0.01050567626953125,
-0.0005736351013183594,
-0.034149169921875,
-0.022491455078125,
-0.00626373291015625,
-0.0002849102020263672,
0.0230712890625,
0.0206756591796875,
-0.04351806640625,
0.025482177734375,
0.0208892822265625,
0.0086517333984375,
0.06329345703125,
0.0021915435791015625,
0.0196685791015625,
-0.047271728515625,
0.0308074951171875,
0.0157623291015625,
0.035675048828125,
-0.0020542144775390625,
-0.0265045166015625,
0.0294342041015625,
0.031036376953125,
-0.04498291015625,
-0.056488037109375,
-0.01419830322265625,
-0.09051513671875,
0.0139923095703125,
0.07818603515625,
-0.007038116455078125,
-0.032623291015625,
0.0228424072265625,
-0.0239105224609375,
0.0170745849609375,
-0.01239013671875,
0.043701171875,
0.037933349609375,
-0.00983428955078125,
-0.0052490234375,
-0.038818359375,
0.04254150390625,
0.01515960693359375,
-0.04779052734375,
-0.0189971923828125,
0.033203125,
0.0450439453125,
0.01318359375,
0.01435089111328125,
-0.0200347900390625,
0.026275634765625,
0.013092041015625,
0.018310546875,
-0.03302001953125,
-0.01444244384765625,
-0.0250396728515625,
0.0031299591064453125,
0.009796142578125,
-0.0262603759765625
]
] |
Msughterx/wav2vec2-base-xlsr-igbo | 2023-09-29T20:22:18.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | Msughterx | null | null | Msughterx/wav2vec2-base-xlsr-igbo | 0 | 2 | transformers | 2023-09-29T19:54:02 | ---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-xlsr-igbo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-xlsr-igbo
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
### Training results
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
| 1,114 | [
[
-0.024871826171875,
-0.04278564453125,
0.0020084381103515625,
0.0227508544921875,
-0.0227203369140625,
-0.02691650390625,
-0.0163421630859375,
-0.034515380859375,
0.00637054443359375,
0.0266265869140625,
-0.06915283203125,
-0.0389404296875,
-0.049560546875,
-0.026611328125,
-0.017913818359375,
0.08331298828125,
0.01505279541015625,
0.0268707275390625,
-0.01444244384765625,
-0.007465362548828125,
-0.036865234375,
-0.028106689453125,
-0.06890869140625,
-0.054168701171875,
0.00997161865234375,
0.026641845703125,
0.044281005859375,
0.059051513671875,
0.027862548828125,
0.0180511474609375,
-0.031097412109375,
-0.0159454345703125,
-0.057769775390625,
-0.0295257568359375,
-0.0102691650390625,
-0.0290069580078125,
-0.054595947265625,
0.005084991455078125,
0.040191650390625,
0.0162506103515625,
-0.0256500244140625,
0.050506591796875,
0.004100799560546875,
0.0260772705078125,
-0.0249481201171875,
0.039398193359375,
-0.0537109375,
0.0174713134765625,
0.0050201416015625,
-0.0135498046875,
-0.0202484130859375,
-0.011962890625,
-0.00423431396484375,
-0.04168701171875,
0.032073974609375,
-0.017303466796875,
0.07501220703125,
0.0198211669921875,
-0.025146484375,
-0.0034351348876953125,
-0.06756591796875,
0.04058837890625,
-0.04132080078125,
0.032257080078125,
0.048492431640625,
0.037322998046875,
0.003978729248046875,
-0.058746337890625,
-0.0268707275390625,
-0.0045623779296875,
0.021697998046875,
0.027587890625,
-0.0120086669921875,
-0.0016241073608398438,
0.047637939453125,
0.0131683349609375,
-0.036041259765625,
0.01348114013671875,
-0.05401611328125,
-0.0304718017578125,
0.04345703125,
0.017364501953125,
-0.011810302734375,
-0.0109100341796875,
-0.032867431640625,
-0.01145172119140625,
-0.0260772705078125,
0.03399658203125,
0.0455322265625,
0.0247802734375,
-0.039794921875,
0.05029296875,
-0.0187225341796875,
0.048828125,
0.007595062255859375,
-0.02117919921875,
0.049530029296875,
-0.0008831024169921875,
-0.01088714599609375,
0.005767822265625,
0.056427001953125,
0.046844482421875,
0.0171966552734375,
0.00801849365234375,
-0.01519775390625,
0.00511932373046875,
0.0209197998046875,
-0.06512451171875,
-0.026580810546875,
0.0140533447265625,
-0.050933837890625,
-0.043792724609375,
0.002899169921875,
-0.02508544921875,
0.0198822021484375,
-0.034576416015625,
0.046844482421875,
-0.031646728515625,
-0.0255889892578125,
-0.00926971435546875,
-0.01354217529296875,
0.023773193359375,
0.0016489028930664062,
-0.06951904296875,
0.03680419921875,
0.036773681640625,
0.029296875,
0.0179901123046875,
-0.011260986328125,
-0.0199737548828125,
0.01088714599609375,
-0.02099609375,
0.039459228515625,
-0.003818511962890625,
-0.0491943359375,
-0.0096893310546875,
0.013824462890625,
0.01549530029296875,
-0.04339599609375,
0.07000732421875,
-0.0207977294921875,
0.0102996826171875,
-0.02685546875,
-0.043914794921875,
-0.01207733154296875,
0.006008148193359375,
-0.0435791015625,
0.0975341796875,
0.0257415771484375,
-0.031524658203125,
0.033416748046875,
-0.032989501953125,
-0.0305328369140625,
0.00817108154296875,
-0.0122528076171875,
-0.045440673828125,
-0.00691986083984375,
-0.009552001953125,
0.0312347412109375,
-0.01214599609375,
0.0063018798828125,
-0.0282135009765625,
-0.042083740234375,
0.003047943115234375,
-0.026824951171875,
0.04632568359375,
0.015838623046875,
-0.027374267578125,
0.0028057098388671875,
-0.1044921875,
0.033935546875,
0.01364898681640625,
-0.049072265625,
0.0164031982421875,
-0.018280029296875,
0.045989990234375,
0.035614013671875,
0.0247650146484375,
-0.047088623046875,
0.000301361083984375,
-0.0203094482421875,
0.032867431640625,
0.0460205078125,
-0.0027217864990234375,
0.0052490234375,
-0.023162841796875,
0.01244354248046875,
-0.0006933212280273438,
0.03619384765625,
0.0178070068359375,
-0.0419921875,
-0.039520263671875,
-0.018157958984375,
0.013427734375,
0.036773681640625,
-0.006092071533203125,
0.061431884765625,
0.002216339111328125,
-0.05755615234375,
-0.031219482421875,
0.0175933837890625,
0.035369873046875,
0.045074462890625,
0.04339599609375,
-0.01236724853515625,
-0.03662109375,
-0.0762939453125,
-0.0023403167724609375,
-0.00749969482421875,
0.01114654541015625,
0.03497314453125,
0.036773681640625,
-0.0267181396484375,
0.059417724609375,
-0.02606201171875,
-0.0175933837890625,
-0.01300811767578125,
0.00011688470840454102,
0.0246124267578125,
0.06536865234375,
0.0531005859375,
-0.037994384765625,
-0.0115814208984375,
-0.0238189697265625,
-0.047698974609375,
0.0086669921875,
-0.0039215087890625,
-0.018341064453125,
-0.005786895751953125,
0.0267333984375,
-0.046173095703125,
0.044158935546875,
0.026214599609375,
-0.0107269287109375,
0.0270538330078125,
-0.0169677734375,
-0.01544189453125,
-0.08673095703125,
0.00028014183044433594,
0.02618408203125,
-0.0162353515625,
-0.01558685302734375,
-0.0163726806640625,
0.009002685546875,
-0.007640838623046875,
-0.0299072265625,
0.032623291015625,
-0.01233673095703125,
-0.00084686279296875,
-0.02728271484375,
-0.0205535888671875,
-0.00988006591796875,
0.041229248046875,
0.00778961181640625,
0.024993896484375,
0.049468994140625,
-0.047332763671875,
0.035614013671875,
0.052032470703125,
-0.0216217041015625,
0.03314208984375,
-0.074951171875,
0.01482391357421875,
0.003826141357421875,
0.01033782958984375,
-0.0703125,
-0.017791748046875,
0.038421630859375,
-0.055633544921875,
0.034759521484375,
-0.0237274169921875,
-0.0313720703125,
-0.043121337890625,
0.004993438720703125,
0.03125,
0.060638427734375,
-0.050140380859375,
0.029998779296875,
0.011322021484375,
0.031097412109375,
-0.0303497314453125,
-0.0660400390625,
-0.0238189697265625,
0.0133819580078125,
-0.031890869140625,
0.0185394287109375,
-0.012664794921875,
0.0131683349609375,
0.0037403106689453125,
-0.0259857177734375,
-0.01514434814453125,
-0.01806640625,
0.0457763671875,
0.01551055908203125,
-0.0085906982421875,
-0.007465362548828125,
0.0103912353515625,
-0.021331787109375,
0.0287017822265625,
-0.012603759765625,
0.0295257568359375,
0.007488250732421875,
-0.01502227783203125,
-0.07550048828125,
-0.00020492076873779297,
0.0258636474609375,
-0.0080108642578125,
0.0498046875,
0.061004638671875,
-0.037445068359375,
-0.0157470703125,
-0.03790283203125,
-0.00907135009765625,
-0.034088134765625,
0.052734375,
-0.033447265625,
-0.0262298583984375,
0.03411865234375,
-0.00345611572265625,
-0.00870513916015625,
0.0531005859375,
0.0521240234375,
-0.0051727294921875,
0.07855224609375,
0.02264404296875,
0.0013723373413085938,
0.033416748046875,
-0.058563232421875,
-0.0127716064453125,
-0.055145263671875,
-0.052520751953125,
-0.03326416015625,
-0.014434814453125,
-0.05267333984375,
-0.007904052734375,
0.00628662109375,
0.010101318359375,
-0.0350341796875,
0.04168701171875,
-0.036773681640625,
0.0222930908203125,
0.052032470703125,
0.03753662109375,
-0.02142333984375,
0.0145263671875,
-0.0009207725524902344,
0.001796722412109375,
-0.050018310546875,
-0.0209808349609375,
0.0877685546875,
0.03515625,
0.049835205078125,
-0.01222991943359375,
0.039764404296875,
0.0021533966064453125,
-0.01177978515625,
-0.05279541015625,
0.034393310546875,
0.01161956787109375,
-0.06475830078125,
-0.00748443603515625,
-0.01885986328125,
-0.043548583984375,
-0.0002703666687011719,
-0.047271728515625,
-0.045501708984375,
0.0087890625,
0.0194854736328125,
-0.0150909423828125,
0.0143585205078125,
-0.0304718017578125,
0.0758056640625,
-0.01515960693359375,
-0.027801513671875,
-0.0246429443359375,
-0.048004150390625,
0.0085296630859375,
0.011260986328125,
0.00018548965454101562,
-0.002292633056640625,
0.0184326171875,
0.060791015625,
-0.052764892578125,
0.047607421875,
-0.028778076171875,
0.01953125,
0.0523681640625,
-0.021453857421875,
0.0458984375,
0.0138092041015625,
-0.0084381103515625,
0.0262451171875,
-0.004058837890625,
-0.0462646484375,
-0.0163726806640625,
0.057373046875,
-0.0950927734375,
0.006072998046875,
-0.0193634033203125,
-0.031585693359375,
-0.01953125,
0.005077362060546875,
0.060302734375,
0.054718017578125,
-0.0234375,
0.024871826171875,
0.034820556640625,
0.007633209228515625,
0.0198822021484375,
0.0263824462890625,
0.015655517578125,
-0.049530029296875,
0.059539794921875,
0.0023632049560546875,
0.01493072509765625,
-0.0029926300048828125,
0.006084442138671875,
-0.0292816162109375,
-0.03302001953125,
-0.0191497802734375,
0.015777587890625,
-0.05340576171875,
-0.005237579345703125,
-0.0360107421875,
-0.0310516357421875,
-0.037322998046875,
0.0172576904296875,
-0.04632568359375,
-0.0308685302734375,
-0.04730224609375,
-0.026763916015625,
0.032562255859375,
0.045501708984375,
-0.0211639404296875,
0.06036376953125,
-0.054412841796875,
0.0229339599609375,
0.01213836669921875,
0.034698486328125,
0.001224517822265625,
-0.06964111328125,
-0.03826904296875,
0.01178741455078125,
-0.0214080810546875,
-0.046875,
0.006626129150390625,
0.00040411949157714844,
0.05523681640625,
0.03253173828125,
-0.026397705078125,
0.05731201171875,
-0.02716064453125,
0.0550537109375,
0.034210205078125,
-0.046966552734375,
0.037841796875,
-0.0269317626953125,
0.00859832763671875,
0.04559326171875,
0.0285491943359375,
0.003475189208984375,
-0.00018978118896484375,
-0.0767822265625,
-0.0706787109375,
0.072265625,
0.03411865234375,
0.0301513671875,
0.009796142578125,
0.05560302734375,
-0.0015764236450195312,
0.0164337158203125,
-0.0631103515625,
-0.0452880859375,
-0.037445068359375,
-0.01433563232421875,
0.00037860870361328125,
-0.0438232421875,
-0.007129669189453125,
-0.05316162109375,
0.09002685546875,
0.00811004638671875,
0.01885986328125,
0.00029349327087402344,
0.013031005859375,
-0.03411865234375,
-0.019378662109375,
0.03314208984375,
0.03594970703125,
-0.037506103515625,
-0.039947509765625,
0.007167816162109375,
-0.041229248046875,
0.00164794921875,
0.005878448486328125,
-0.01297760009765625,
0.006809234619140625,
0.0267486572265625,
0.08856201171875,
0.00969696044921875,
-0.008636474609375,
0.04010009765625,
-0.01033782958984375,
-0.044189453125,
-0.044830322265625,
0.0283203125,
0.0088043212890625,
0.029052734375,
0.006061553955078125,
0.037322998046875,
0.00452423095703125,
-0.018218994140625,
0.01415252685546875,
0.019287109375,
-0.047943115234375,
-0.0267181396484375,
0.07568359375,
0.00876617431640625,
-0.03424072265625,
0.050079345703125,
-0.00696563720703125,
-0.00185394287109375,
0.06243896484375,
0.05706787109375,
0.062744140625,
-0.01580810546875,
-0.0023708343505859375,
0.0677490234375,
0.01299285888671875,
-0.020233154296875,
0.0546875,
-0.015960693359375,
-0.041168212890625,
-0.01003265380859375,
-0.03863525390625,
-0.0106658935546875,
0.0404052734375,
-0.09808349609375,
0.043212890625,
-0.049224853515625,
-0.040252685546875,
0.0182342529296875,
-0.0048980712890625,
-0.06329345703125,
0.050140380859375,
0.021453857421875,
0.0833740234375,
-0.06842041015625,
0.07012939453125,
0.049835205078125,
-0.03680419921875,
-0.0814208984375,
-0.0104522705078125,
-0.004146575927734375,
-0.06494140625,
0.049652099609375,
0.002109527587890625,
0.01216888427734375,
0.01285552978515625,
-0.058563232421875,
-0.06500244140625,
0.07598876953125,
0.0101470947265625,
-0.058746337890625,
0.020599365234375,
0.00954437255859375,
0.046478271484375,
-0.0115966796875,
0.03424072265625,
0.017425537109375,
0.01678466796875,
0.031829833984375,
-0.0633544921875,
-0.01107025146484375,
-0.0234222412109375,
0.013336181640625,
-0.0095977783203125,
-0.06787109375,
0.06256103515625,
-0.01336669921875,
0.03448486328125,
0.0267486572265625,
0.05584716796875,
0.0125732421875,
0.0158233642578125,
0.0296478271484375,
0.054229736328125,
0.039306640625,
-0.00446319580078125,
0.057098388671875,
-0.046630859375,
0.052734375,
0.094482421875,
-0.0092010498046875,
0.04229736328125,
0.0204620361328125,
-0.01514434814453125,
0.02197265625,
0.052215576171875,
-0.0404052734375,
0.04852294921875,
0.015625,
0.0005350112915039062,
-0.0289306640625,
0.01468658447265625,
-0.04998779296875,
0.043731689453125,
0.00679779052734375,
-0.044189453125,
-0.0082855224609375,
-0.018157958984375,
-0.005329132080078125,
-0.0117034912109375,
-0.032623291015625,
0.05401611328125,
-0.01041412353515625,
-0.0206298828125,
0.047210693359375,
0.01171112060546875,
0.024505615234375,
-0.052642822265625,
-0.01129913330078125,
0.0188751220703125,
0.0285491943359375,
-0.033294677734375,
-0.041107177734375,
0.00815582275390625,
-0.006313323974609375,
-0.031341552734375,
0.0072021484375,
0.03863525390625,
-0.026611328125,
-0.054351806640625,
0.034942626953125,
0.02008056640625,
0.0141143798828125,
0.0054473876953125,
-0.07781982421875,
-0.0020542144775390625,
-0.00127410888671875,
-0.03350830078125,
0.01262664794921875,
0.0149993896484375,
0.0095062255859375,
0.0243377685546875,
0.0521240234375,
0.0008435249328613281,
-0.0019054412841796875,
0.0217742919921875,
0.06201171875,
-0.049102783203125,
-0.048980712890625,
-0.052215576171875,
0.03350830078125,
-0.0079193115234375,
-0.051025390625,
0.04364013671875,
0.0787353515625,
0.07489013671875,
-0.0128936767578125,
0.056854248046875,
0.01092529296875,
0.039886474609375,
-0.0289306640625,
0.0389404296875,
-0.035064697265625,
-0.003940582275390625,
-0.02294921875,
-0.06500244140625,
0.015838623046875,
0.056671142578125,
0.0042266845703125,
0.0186004638671875,
0.0219879150390625,
0.05963134765625,
-0.008758544921875,
0.015777587890625,
0.0111541748046875,
0.0222320556640625,
0.0059661865234375,
0.0167694091796875,
0.039886474609375,
-0.07073974609375,
0.0445556640625,
-0.04559326171875,
-0.0164337158203125,
-0.005725860595703125,
-0.042144775390625,
-0.07598876953125,
-0.020477294921875,
-0.042327880859375,
-0.057098388671875,
0.0010423660278320312,
0.08428955078125,
0.067138671875,
-0.058868408203125,
-0.034515380859375,
0.0013380050659179688,
-0.02777099609375,
-0.0233612060546875,
-0.01331329345703125,
0.017974853515625,
0.0008721351623535156,
-0.04119873046875,
0.014251708984375,
-0.0198516845703125,
0.0246429443359375,
0.01226806640625,
-0.0166778564453125,
0.00176239013671875,
-0.01119232177734375,
0.0292816162109375,
0.01392364501953125,
-0.039520263671875,
-0.019256591796875,
-0.0173492431640625,
-0.010223388671875,
0.0176849365234375,
0.0163116455078125,
-0.040252685546875,
0.021484375,
0.02081298828125,
-0.0014400482177734375,
0.06488037109375,
0.01088714599609375,
0.007686614990234375,
-0.049346923828125,
0.039459228515625,
0.002178192138671875,
0.0245208740234375,
0.006053924560546875,
-0.03411865234375,
0.028839111328125,
0.03955078125,
-0.03643798828125,
-0.051177978515625,
-0.01068115234375,
-0.100830078125,
0.0008831024169921875,
0.10723876953125,
0.0228424072265625,
-0.034576416015625,
0.026763916015625,
-0.0305328369140625,
0.0428466796875,
-0.03228759765625,
0.0244140625,
0.0307769775390625,
-0.004619598388671875,
0.0227508544921875,
-0.05133056640625,
0.03302001953125,
-0.003337860107421875,
-0.0284423828125,
-0.0277252197265625,
0.03326416015625,
0.059814453125,
-0.01538848876953125,
0.046600341796875,
-0.0174407958984375,
0.029449462890625,
0.012603759765625,
0.0401611328125,
-0.0308990478515625,
-0.0146026611328125,
-0.021331787109375,
-0.000751495361328125,
-0.0010356903076171875,
-0.042633056640625
]
] |
Kapiche/all-MiniLM-L6-v2 | 2023-09-29T22:40:37.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_answers_topics",
"dataset:code_search_net",
"dataset:search_qa",
"dataset:eli5",
"dataset:snli",
"dataset:multi_nli",
"dataset:wikihow",
"dataset:natural_questions",
"dataset:trivia_qa",
"dataset:embedding-data/sentence-compression",
"dataset:embedding-data/flickr30k-captions",
"dataset:embedding-data/altlex",
"dataset:embedding-data/simple-wiki",
"dataset:embedding-data/QQP",
"dataset:embedding-data/SPECTER",
"dataset:embedding-data/PAQ_pairs",
"dataset:embedding-data/WikiAnswers",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | Kapiche | null | null | Kapiche/all-MiniLM-L6-v2 | 0 | 2 | sentence-transformers | 2023-09-29T22:24:37 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- code_search_net
- search_qa
- eli5
- snli
- multi_nli
- wikihow
- natural_questions
- trivia_qa
- embedding-data/sentence-compression
- embedding-data/flickr30k-captions
- embedding-data/altlex
- embedding-data/simple-wiki
- embedding-data/QQP
- embedding-data/SPECTER
- embedding-data/PAQ_pairs
- embedding-data/WikiAnswers
---
# all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
```
pip install -U sentence-transformers
```
Then you can use the model like this:
```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
embeddings = model.encode(sentences)
print(embeddings)
```
## Usage (HuggingFace Transformers)
Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
```python
from transformers import AutoTokenizer, AutoModel
import torch
import torch.nn.functional as F
#Mean Pooling - Take attention mask into account for correct averaging
def mean_pooling(model_output, attention_mask):
token_embeddings = model_output[0] #First element of model_output contains all token embeddings
input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
# Sentences we want sentence embeddings for
sentences = ['This is an example sentence', 'Each sentence is converted']
# Load model from HuggingFace Hub
tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
model = AutoModel.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
# Tokenize sentences
encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
# Compute token embeddings
with torch.no_grad():
model_output = model(**encoded_input)
# Perform pooling
sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
# Normalize embeddings
sentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)
print("Sentence embeddings:")
print(sentence_embeddings)
```
## Evaluation Results
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/all-MiniLM-L6-v2)
------
## Background
The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised
contrastive learning objective. We used the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model and fine-tuned in on a
1B sentence pairs dataset. We use a contrastive learning objective: given a sentence from the pair, the model should predict which out of a set of randomly sampled other sentences, was actually paired with it in our dataset.
We developped this model during the
[Community week using JAX/Flax for NLP & CV](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104),
organized by Hugging Face. We developped this model as part of the project:
[Train the Best Sentence Embedding Model Ever with 1B Training Pairs](https://discuss.huggingface.co/t/train-the-best-sentence-embedding-model-ever-with-1b-training-pairs/7354). We benefited from efficient hardware infrastructure to run the project: 7 TPUs v3-8, as well as intervention from Googles Flax, JAX, and Cloud team member about efficient deep learning frameworks.
## Intended uses
Our model is intented to be used as a sentence and short paragraph encoder. Given an input text, it ouptuts a vector which captures
the semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.
By default, input text longer than 256 word pieces is truncated.
## Training procedure
### Pre-training
We use the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model. Please refer to the model card for more detailed information about the pre-training procedure.
### Fine-tuning
We fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each possible sentence pairs from the batch.
We then apply the cross entropy loss by comparing with true pairs.
#### Hyper parameters
We trained ou model on a TPU v3-8. We train the model during 100k steps using a batch size of 1024 (128 per TPU core).
We use a learning rate warm up of 500. The sequence length was limited to 128 tokens. We used the AdamW optimizer with
a 2e-5 learning rate. The full training script is accessible in this current repository: `train_script.py`.
#### Training data
We use the concatenation from multiple datasets to fine-tune our model. The total number of sentence pairs is above 1 billion sentences.
We sampled each dataset given a weighted probability which configuration is detailed in the `data_config.json` file.
| Dataset | Paper | Number of training tuples |
|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|
| [Reddit comments (2015-2018)](https://github.com/PolyAI-LDN/conversational-datasets/tree/master/reddit) | [paper](https://arxiv.org/abs/1904.06472) | 726,484,430 |
| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Abstracts) | [paper](https://aclanthology.org/2020.acl-main.447/) | 116,288,806 |
| [WikiAnswers](https://github.com/afader/oqa#wikianswers-corpus) Duplicate question pairs | [paper](https://doi.org/10.1145/2623330.2623677) | 77,427,422 |
| [PAQ](https://github.com/facebookresearch/PAQ) (Question, Answer) pairs | [paper](https://arxiv.org/abs/2102.07033) | 64,371,441 |
| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Titles) | [paper](https://aclanthology.org/2020.acl-main.447/) | 52,603,982 |
| [S2ORC](https://github.com/allenai/s2orc) (Title, Abstract) | [paper](https://aclanthology.org/2020.acl-main.447/) | 41,769,185 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Body) pairs | - | 25,316,456 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title+Body, Answer) pairs | - | 21,396,559 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Answer) pairs | - | 21,396,559 |
| [MS MARCO](https://microsoft.github.io/msmarco/) triplets | [paper](https://doi.org/10.1145/3404835.3462804) | 9,144,553 |
| [GOOAQ: Open Question Answering with Diverse Answer Types](https://github.com/allenai/gooaq) | [paper](https://arxiv.org/pdf/2104.08727.pdf) | 3,012,496 |
| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 1,198,260 |
| [Code Search](https://huggingface.co/datasets/code_search_net) | - | 1,151,414 |
| [COCO](https://cocodataset.org/#home) Image captions | [paper](https://link.springer.com/chapter/10.1007%2F978-3-319-10602-1_48) | 828,395|
| [SPECTER](https://github.com/allenai/specter) citation triplets | [paper](https://doi.org/10.18653/v1/2020.acl-main.207) | 684,100 |
| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Question, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 681,164 |
| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Question) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 659,896 |
| [SearchQA](https://huggingface.co/datasets/search_qa) | [paper](https://arxiv.org/abs/1704.05179) | 582,261 |
| [Eli5](https://huggingface.co/datasets/eli5) | [paper](https://doi.org/10.18653/v1/p19-1346) | 325,475 |
| [Flickr 30k](https://shannon.cs.illinois.edu/DenotationGraph/) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/229/33) | 317,695 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles) | | 304,525 |
| AllNLI ([SNLI](https://nlp.stanford.edu/projects/snli/) and [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) | [paper SNLI](https://doi.org/10.18653/v1/d15-1075), [paper MultiNLI](https://doi.org/10.18653/v1/n18-1101) | 277,230 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (bodies) | | 250,519 |
| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles+bodies) | | 250,460 |
| [Sentence Compression](https://github.com/google-research-datasets/sentence-compression) | [paper](https://www.aclweb.org/anthology/D13-1155/) | 180,000 |
| [Wikihow](https://github.com/pvl/wikihow_pairs_dataset) | [paper](https://arxiv.org/abs/1810.09305) | 128,542 |
| [Altlex](https://github.com/chridey/altlex/) | [paper](https://aclanthology.org/P16-1135.pdf) | 112,696 |
| [Quora Question Triplets](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | - | 103,663 |
| [Simple Wikipedia](https://cs.pomona.edu/~dkauchak/simplification/) | [paper](https://www.aclweb.org/anthology/P11-2117/) | 102,225 |
| [Natural Questions (NQ)](https://ai.google.com/research/NaturalQuestions) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/1455) | 100,231 |
| [SQuAD2.0](https://rajpurkar.github.io/SQuAD-explorer/) | [paper](https://aclanthology.org/P18-2124.pdf) | 87,599 |
| [TriviaQA](https://huggingface.co/datasets/trivia_qa) | - | 73,346 |
| **Total** | | **1,170,060,424** | | 10,610 | [
[
-0.0261077880859375,
-0.0640869140625,
0.024322509765625,
0.00792694091796875,
-0.01029205322265625,
-0.02105712890625,
-0.0173187255859375,
-0.021148681640625,
0.025390625,
0.01396942138671875,
-0.037139892578125,
-0.0400390625,
-0.048309326171875,
0.0092620849609375,
-0.0215606689453125,
0.08343505859375,
-0.0013990402221679688,
-0.00580596923828125,
-0.03045654296875,
-0.023681640625,
-0.0087127685546875,
-0.036590576171875,
-0.039154052734375,
-0.00215911865234375,
0.035491943359375,
0.027130126953125,
0.035858154296875,
0.037872314453125,
0.0277862548828125,
0.019287109375,
-0.006122589111328125,
0.0232391357421875,
-0.0457763671875,
-0.01177215576171875,
0.01222991943359375,
-0.0307159423828125,
-0.014495849609375,
0.0034694671630859375,
0.03509521484375,
0.04522705078125,
-0.001750946044921875,
0.0204925537109375,
0.0158538818359375,
0.03668212890625,
-0.030426025390625,
0.01983642578125,
-0.04022216796875,
0.0034923553466796875,
-0.01349639892578125,
0.001842498779296875,
-0.0288848876953125,
-0.027587890625,
0.0206146240234375,
-0.039642333984375,
0.01380157470703125,
0.02178955078125,
0.075927734375,
0.0199432373046875,
-0.0259552001953125,
-0.03399658203125,
-0.01149749755859375,
0.059326171875,
-0.057281494140625,
0.0173187255859375,
0.036956787109375,
-0.0092620849609375,
0.0008258819580078125,
-0.05743408203125,
-0.05609130859375,
-0.00641632080078125,
-0.037689208984375,
0.013336181640625,
-0.025238037109375,
-0.0097503662109375,
0.0203857421875,
0.02874755859375,
-0.0625,
0.0035152435302734375,
-0.0278472900390625,
-0.00931549072265625,
0.054840087890625,
0.0098114013671875,
0.0191650390625,
-0.043853759765625,
-0.021697998046875,
-0.01995849609375,
-0.0247802734375,
0.0135498046875,
0.0230712890625,
0.01425933837890625,
-0.036865234375,
0.05340576171875,
-0.0008893013000488281,
0.04547119140625,
0.00264739990234375,
0.00440216064453125,
0.04241943359375,
-0.047088623046875,
-0.0130462646484375,
-0.0205230712890625,
0.08929443359375,
0.0250701904296875,
0.00868988037109375,
0.00582122802734375,
0.00873565673828125,
-0.004634857177734375,
-0.01052093505859375,
-0.058441162109375,
-0.022186279296875,
0.022857666015625,
-0.032470703125,
-0.02789306640625,
0.006549835205078125,
-0.061187744140625,
-0.0104217529296875,
0.0012865066528320312,
0.0265350341796875,
-0.041351318359375,
-0.01033782958984375,
0.015167236328125,
-0.01084136962890625,
0.020172119140625,
-0.004364013671875,
-0.05419921875,
0.020172119140625,
0.0298919677734375,
0.06866455078125,
-0.0011053085327148438,
-0.019439697265625,
-0.022186279296875,
-0.0103912353515625,
-0.004650115966796875,
0.05340576171875,
-0.032257080078125,
-0.007640838623046875,
0.0008435249328613281,
0.006801605224609375,
-0.034698486328125,
-0.026336669921875,
0.043914794921875,
-0.02069091796875,
0.04864501953125,
-0.01308441162109375,
-0.06109619140625,
-0.002899169921875,
0.0149993896484375,
-0.03680419921875,
0.09625244140625,
0.01318359375,
-0.0860595703125,
0.0007867813110351562,
-0.04559326171875,
-0.01404571533203125,
-0.0171051025390625,
-0.01641845703125,
-0.04571533203125,
-0.003665924072265625,
0.03521728515625,
0.04022216796875,
-0.0164642333984375,
0.00867462158203125,
-0.0291595458984375,
-0.01885986328125,
0.016571044921875,
-0.004703521728515625,
0.08807373046875,
0.00968170166015625,
-0.0230560302734375,
-0.00439453125,
-0.046905517578125,
-0.007762908935546875,
0.027679443359375,
-0.0077056884765625,
-0.0174102783203125,
-0.0201568603515625,
0.0140533447265625,
0.0263214111328125,
0.019500732421875,
-0.048980712890625,
0.01415252685546875,
-0.045135498046875,
0.048095703125,
0.052032470703125,
-0.0010232925415039062,
0.025390625,
-0.035919189453125,
0.0288848876953125,
0.01006317138671875,
-0.0004935264587402344,
-0.00487518310546875,
-0.042022705078125,
-0.0821533203125,
-0.01375579833984375,
0.0301666259765625,
0.040985107421875,
-0.059417724609375,
0.0594482421875,
-0.0382080078125,
-0.040313720703125,
-0.0662841796875,
0.0081787109375,
0.033538818359375,
0.041778564453125,
0.049652099609375,
-0.0010118484497070312,
-0.046722412109375,
-0.07403564453125,
-0.01263427734375,
-0.0027866363525390625,
0.0021305084228515625,
0.038299560546875,
0.06024169921875,
-0.0252227783203125,
0.06976318359375,
-0.0557861328125,
-0.0303955078125,
-0.021942138671875,
0.0047149658203125,
0.017852783203125,
0.0430908203125,
0.04510498046875,
-0.052001953125,
-0.049102783203125,
-0.03125,
-0.0645751953125,
0.0036640167236328125,
-0.0011892318725585938,
-0.0192718505859375,
0.0251007080078125,
0.050689697265625,
-0.054290771484375,
0.02947998046875,
0.038665771484375,
-0.0309906005859375,
0.0217132568359375,
-0.0101470947265625,
-0.01428985595703125,
-0.0982666015625,
0.01611328125,
0.004138946533203125,
-0.01026153564453125,
-0.03619384765625,
-0.0015001296997070312,
-0.00806427001953125,
-0.003101348876953125,
-0.0280609130859375,
0.041107177734375,
-0.03363037109375,
0.00627899169921875,
0.01055908203125,
0.0285491943359375,
0.002117156982421875,
0.056365966796875,
-0.00824737548828125,
0.049041748046875,
0.0296173095703125,
-0.0277862548828125,
0.01497650146484375,
0.0465087890625,
-0.0311431884765625,
0.0222930908203125,
-0.061676025390625,
0.0205230712890625,
-0.01219940185546875,
0.03607177734375,
-0.07794189453125,
-0.00518035888671875,
0.021881103515625,
-0.044708251953125,
0.005126953125,
0.006565093994140625,
-0.04986572265625,
-0.03955078125,
-0.04229736328125,
0.0242156982421875,
0.0333251953125,
-0.0328369140625,
0.0299224853515625,
0.0260009765625,
-0.0037822723388671875,
-0.041015625,
-0.074951171875,
-0.0126190185546875,
-0.01039886474609375,
-0.0616455078125,
0.0294952392578125,
-0.01995849609375,
0.0016622543334960938,
0.015625,
0.01027679443359375,
0.01342010498046875,
-0.015411376953125,
0.01056671142578125,
0.00907135009765625,
-0.0072021484375,
0.0186004638671875,
-0.0031070709228515625,
-0.007244110107421875,
-0.01287078857421875,
-0.015380859375,
0.05535888671875,
-0.031982421875,
0.000002205371856689453,
-0.04302978515625,
0.0271759033203125,
0.02215576171875,
-0.009918212890625,
0.076416015625,
0.06640625,
-0.0278472900390625,
0.01105499267578125,
-0.041168212890625,
-0.012298583984375,
-0.03460693359375,
0.026275634765625,
-0.025360107421875,
-0.08343505859375,
0.031982421875,
0.032073974609375,
0.00597381591796875,
0.06329345703125,
0.034149169921875,
-0.023590087890625,
0.061309814453125,
0.0316162109375,
-0.00614166259765625,
0.035675048828125,
-0.050689697265625,
0.0233917236328125,
-0.06951904296875,
-0.020050048828125,
-0.030548095703125,
-0.0226898193359375,
-0.06622314453125,
-0.047607421875,
0.0267791748046875,
-0.004261016845703125,
-0.01491546630859375,
0.029449462890625,
-0.039031982421875,
0.0075531005859375,
0.0443115234375,
0.0225677490234375,
-0.00299072265625,
0.00493621826171875,
-0.019561767578125,
-0.01155853271484375,
-0.0631103515625,
-0.0262908935546875,
0.0869140625,
0.0277099609375,
0.036865234375,
-0.003421783447265625,
0.058502197265625,
0.01186370849609375,
-0.005237579345703125,
-0.04150390625,
0.043304443359375,
-0.02362060546875,
-0.032958984375,
-0.01335906982421875,
-0.041015625,
-0.0755615234375,
0.0158538818359375,
-0.02484130859375,
-0.050567626953125,
0.023040771484375,
0.00128936767578125,
-0.035858154296875,
0.014556884765625,
-0.057037353515625,
0.0762939453125,
-0.00574493408203125,
-0.0267791748046875,
-0.00562286376953125,
-0.06329345703125,
0.01316070556640625,
0.01800537109375,
0.0162353515625,
-0.00504302978515625,
-0.00571441650390625,
0.0791015625,
-0.033203125,
0.05755615234375,
-0.00951385498046875,
0.020172119140625,
0.0270843505859375,
-0.0212860107421875,
0.037353515625,
0.0018472671508789062,
-0.011077880859375,
0.01329803466796875,
0.0032901763916015625,
-0.05029296875,
-0.038787841796875,
0.0625,
-0.0777587890625,
-0.030670166015625,
-0.04681396484375,
-0.03515625,
-0.00551605224609375,
0.007541656494140625,
0.033203125,
0.02972412109375,
-0.0034332275390625,
0.041717529296875,
0.04925537109375,
-0.0310821533203125,
0.0367431640625,
0.008392333984375,
-0.0037288665771484375,
-0.0418701171875,
0.054351806640625,
0.0097808837890625,
0.003292083740234375,
0.0379638671875,
0.020294189453125,
-0.025115966796875,
-0.0293731689453125,
-0.0198822021484375,
0.03265380859375,
-0.042388916015625,
-0.0168609619140625,
-0.089111328125,
-0.0260772705078125,
-0.056243896484375,
-0.00487518310546875,
-0.01763916015625,
-0.03643798828125,
-0.04547119140625,
-0.0251922607421875,
0.02947998046875,
0.034149169921875,
0.0009059906005859375,
0.01409149169921875,
-0.03271484375,
0.01812744140625,
0.0194091796875,
-0.0006380081176757812,
-0.0122833251953125,
-0.05511474609375,
-0.02288818359375,
0.01143646240234375,
-0.0196685791015625,
-0.049652099609375,
0.033538818359375,
0.0265960693359375,
0.034942626953125,
0.00980377197265625,
0.01117706298828125,
0.058990478515625,
-0.0161590576171875,
0.0721435546875,
0.00568389892578125,
-0.055877685546875,
0.050872802734375,
-0.01727294921875,
0.030670166015625,
0.058502197265625,
0.0374755859375,
-0.03448486328125,
-0.02587890625,
-0.065185546875,
-0.07452392578125,
0.0511474609375,
0.03375244140625,
0.0146942138671875,
-0.0090484619140625,
0.0267791748046875,
-0.00616455078125,
0.005321502685546875,
-0.071044921875,
-0.03375244140625,
-0.015625,
-0.045318603515625,
-0.0196075439453125,
-0.0260162353515625,
-0.00647735595703125,
-0.03778076171875,
0.0576171875,
-0.0112457275390625,
0.0496826171875,
0.0303955078125,
-0.031463623046875,
0.0226593017578125,
0.005970001220703125,
0.041778564453125,
0.0222930908203125,
-0.0193939208984375,
0.0101470947265625,
0.018646240234375,
-0.0226593017578125,
-0.0150299072265625,
0.0278472900390625,
-0.01551055908203125,
-0.002643585205078125,
0.037750244140625,
0.06732177734375,
0.0152130126953125,
-0.04388427734375,
0.058746337890625,
-0.0186309814453125,
-0.020050048828125,
-0.0330810546875,
-0.006988525390625,
0.0156402587890625,
0.01122283935546875,
0.0145416259765625,
-0.0020351409912109375,
0.0019664764404296875,
-0.038543701171875,
0.0210113525390625,
0.01812744140625,
-0.029388427734375,
-0.00931549072265625,
0.03948974609375,
0.003173828125,
-0.0038394927978515625,
0.057830810546875,
-0.0169677734375,
-0.03509521484375,
0.039154052734375,
0.03173828125,
0.055572509765625,
0.0130615234375,
0.0097198486328125,
0.051971435546875,
0.02618408203125,
0.0131683349609375,
0.0084228515625,
0.01004791259765625,
-0.054229736328125,
0.0023784637451171875,
-0.054443359375,
0.0021076202392578125,
0.00827789306640625,
-0.045654296875,
0.0173187255859375,
-0.023040771484375,
0.0024623870849609375,
0.0047760009765625,
0.022064208984375,
-0.06414794921875,
0.0011692047119140625,
0.00318145751953125,
0.06622314453125,
-0.0703125,
0.06219482421875,
0.045501708984375,
-0.05047607421875,
-0.05181884765625,
-0.000019848346710205078,
-0.0053863525390625,
-0.0654296875,
0.0254974365234375,
0.0282745361328125,
0.0080108642578125,
0.006801605224609375,
-0.047119140625,
-0.06964111328125,
0.0982666015625,
0.02142333984375,
-0.03387451171875,
-0.0101470947265625,
0.0109100341796875,
0.051513671875,
-0.0406494140625,
0.037872314453125,
0.0430908203125,
0.02545166015625,
-0.003223419189453125,
-0.05419921875,
0.01445770263671875,
-0.0406494140625,
0.01329803466796875,
-0.016571044921875,
-0.06634521484375,
0.055694580078125,
-0.0062255859375,
-0.0100860595703125,
0.0080718994140625,
0.058837890625,
0.0292510986328125,
0.0173797607421875,
0.038726806640625,
0.072265625,
0.05474853515625,
-0.007770538330078125,
0.08544921875,
-0.01812744140625,
0.04571533203125,
0.08538818359375,
0.014495849609375,
0.0750732421875,
0.035919189453125,
-0.0124664306640625,
0.0615234375,
0.061431884765625,
-0.007129669189453125,
0.040740966796875,
0.0078125,
0.00447845458984375,
-0.006374359130859375,
-0.010650634765625,
-0.032989501953125,
0.034393310546875,
0.021026611328125,
-0.03558349609375,
0.007495880126953125,
0.01007843017578125,
0.024169921875,
0.004329681396484375,
0.006710052490234375,
0.0604248046875,
0.01605224609375,
-0.042938232421875,
0.0494384765625,
-0.00629425048828125,
0.0718994140625,
-0.0361328125,
0.0238037109375,
-0.0261077880859375,
0.01532745361328125,
-0.02459716796875,
-0.04986572265625,
0.0291595458984375,
-0.0008687973022460938,
-0.0109100341796875,
-0.0185394287109375,
0.037200927734375,
-0.04632568359375,
-0.05023193359375,
0.0294952392578125,
0.0308990478515625,
0.00897979736328125,
0.01494598388671875,
-0.0814208984375,
0.0029544830322265625,
0.00896453857421875,
-0.033050537109375,
0.017303466796875,
0.01407623291015625,
0.02288818359375,
0.034759521484375,
0.046722412109375,
-0.016876220703125,
0.0088348388671875,
-0.005466461181640625,
0.0675048828125,
-0.050994873046875,
-0.04083251953125,
-0.060577392578125,
0.04522705078125,
-0.025909423828125,
-0.033721923828125,
0.0623779296875,
0.0618896484375,
0.07440185546875,
0.0030364990234375,
0.051727294921875,
-0.03021240234375,
0.03948974609375,
-0.035614013671875,
0.04412841796875,
-0.055572509765625,
0.007068634033203125,
-0.018157958984375,
-0.049957275390625,
-0.021759033203125,
0.055877685546875,
-0.033111572265625,
0.007404327392578125,
0.06964111328125,
0.072021484375,
0.0000641942024230957,
-0.00289154052734375,
-0.000041604042053222656,
0.02947998046875,
0.0167083740234375,
0.060791015625,
0.03271484375,
-0.0714111328125,
0.059112548828125,
-0.033660888671875,
-0.00969696044921875,
-0.0267791748046875,
-0.04852294921875,
-0.067626953125,
-0.057891845703125,
-0.034942626953125,
-0.0377197265625,
0.0019550323486328125,
0.08050537109375,
0.052001953125,
-0.06304931640625,
-0.0136871337890625,
-0.010223388671875,
-0.0015096664428710938,
-0.0051116943359375,
-0.0213623046875,
0.053436279296875,
-0.01312255859375,
-0.04998779296875,
0.01203155517578125,
-0.004726409912109375,
-0.00380706787109375,
-0.0013036727905273438,
-0.005672454833984375,
-0.054412841796875,
0.0019102096557617188,
0.043304443359375,
0.01105499267578125,
-0.05047607421875,
-0.02252197265625,
0.00390625,
-0.0293731689453125,
0.0105743408203125,
0.035552978515625,
-0.036285400390625,
0.0272674560546875,
0.044647216796875,
0.043243408203125,
0.0692138671875,
-0.00843048095703125,
0.01922607421875,
-0.05828857421875,
0.01983642578125,
0.0186004638671875,
0.03216552734375,
0.035614013671875,
-0.03033447265625,
0.053863525390625,
0.03118896484375,
-0.042449951171875,
-0.053741455078125,
-0.00803375244140625,
-0.09112548828125,
-0.01114654541015625,
0.0985107421875,
-0.0237274169921875,
-0.01511383056640625,
0.00612640380859375,
-0.01140594482421875,
0.02288818359375,
-0.028533935546875,
0.04473876953125,
0.04833984375,
-0.0211944580078125,
-0.0298919677734375,
-0.03033447265625,
0.03509521484375,
0.0396728515625,
-0.06976318359375,
-0.0171051025390625,
0.0193328857421875,
0.0276336669921875,
0.0173797607421875,
0.055633544921875,
-0.00376129150390625,
-0.003200531005859375,
-0.0014696121215820312,
-0.0080108642578125,
-0.003314971923828125,
0.0033111572265625,
-0.0258636474609375,
0.016326904296875,
-0.025848388671875,
-0.015960693359375
]
] |
gokuls/HBERTv1_48_L12_H64_A2 | 2023-10-02T05:57:01.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L12_H64_A2 | 0 | 2 | transformers | 2023-09-29T22:48:10 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_L12_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.14862667079451106
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_L12_H64_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1104
- Accuracy: 0.1486
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,582 | [
[
-0.0307159423828125,
-0.04986572265625,
0.00664520263671875,
0.01166534423828125,
-0.032440185546875,
-0.03411865234375,
-0.024078369140625,
-0.0265960693359375,
0.007144927978515625,
0.0148773193359375,
-0.049560546875,
-0.03668212890625,
-0.04248046875,
-0.0169219970703125,
-0.0210113525390625,
0.100830078125,
0.01102447509765625,
0.030792236328125,
-0.0100860595703125,
0.007656097412109375,
-0.0142974853515625,
-0.051544189453125,
-0.062469482421875,
-0.055938720703125,
0.035552978515625,
-0.0002913475036621094,
0.07244873046875,
0.06378173828125,
0.0516357421875,
0.015655517578125,
-0.031829833984375,
-0.01556396484375,
-0.0504150390625,
-0.0252532958984375,
0.004474639892578125,
-0.0257568359375,
-0.0538330078125,
-0.002704620361328125,
0.05804443359375,
0.0220947265625,
-0.025909423828125,
0.03302001953125,
0.0139923095703125,
0.032867431640625,
-0.03277587890625,
0.025909423828125,
-0.039459228515625,
0.02227783203125,
-0.012481689453125,
-0.01337432861328125,
-0.035736083984375,
-0.00872039794921875,
0.01299285888671875,
-0.038177490234375,
0.04425048828125,
-0.00911712646484375,
0.101806640625,
0.0275115966796875,
0.00940704345703125,
0.00894927978515625,
-0.0643310546875,
0.040435791015625,
-0.055145263671875,
0.01971435546875,
0.0300140380859375,
0.047119140625,
-0.00099945068359375,
-0.059051513671875,
-0.0347900390625,
-0.0103759765625,
0.003772735595703125,
0.018646240234375,
-0.00399017333984375,
0.00492095947265625,
0.049530029296875,
0.0238800048828125,
-0.033233642578125,
0.011962890625,
-0.041351318359375,
-0.013885498046875,
0.0474853515625,
0.02423095703125,
-0.01181793212890625,
-0.0171966552734375,
-0.031951904296875,
-0.02801513671875,
-0.029296875,
0.0158843994140625,
0.051239013671875,
0.02215576171875,
-0.02752685546875,
0.03997802734375,
0.00010651350021362305,
0.062347412109375,
0.0016870498657226562,
-0.0034332275390625,
0.03997802734375,
-0.0053253173828125,
-0.03546142578125,
-0.0135955810546875,
0.062164306640625,
0.030792236328125,
0.0289154052734375,
-0.0005784034729003906,
-0.02337646484375,
-0.0244140625,
0.0421142578125,
-0.05828857421875,
-0.038848876953125,
-0.00019025802612304688,
-0.05670166015625,
-0.041748046875,
-0.00312042236328125,
-0.03875732421875,
0.0093841552734375,
-0.037353515625,
0.042572021484375,
-0.047271728515625,
-0.00830078125,
-0.0016622543334960938,
-0.015899658203125,
0.0260467529296875,
0.0194549560546875,
-0.0634765625,
0.02105712890625,
0.025634765625,
0.03131103515625,
0.01788330078125,
-0.032806396484375,
-0.0052947998046875,
0.0013980865478515625,
-0.0239105224609375,
0.033905029296875,
-0.02288818359375,
-0.0276947021484375,
-0.0003833770751953125,
0.0053253173828125,
-0.00867462158203125,
-0.02825927734375,
0.0712890625,
-0.0289306640625,
0.01442718505859375,
-0.0200653076171875,
-0.056640625,
-0.008392333984375,
0.0184478759765625,
-0.049591064453125,
0.08709716796875,
0.005809783935546875,
-0.049102783203125,
0.042999267578125,
-0.047454833984375,
-0.01236724853515625,
0.0219879150390625,
-0.00701904296875,
-0.05999755859375,
0.0031337738037109375,
0.00801849365234375,
0.0396728515625,
-0.005558013916015625,
0.0306243896484375,
-0.035186767578125,
-0.044891357421875,
-0.0030994415283203125,
-0.037841796875,
0.056121826171875,
0.0083465576171875,
-0.0203857421875,
0.0208892822265625,
-0.081298828125,
0.0221405029296875,
0.0238494873046875,
-0.041778564453125,
0.00946044921875,
-0.0006017684936523438,
0.039459228515625,
0.01290130615234375,
0.0266265869140625,
-0.045135498046875,
0.0090179443359375,
-0.0233154296875,
0.01152801513671875,
0.053466796875,
-0.0135498046875,
-0.005626678466796875,
-0.029632568359375,
0.00438690185546875,
-0.003116607666015625,
0.043914794921875,
0.0211639404296875,
-0.044219970703125,
-0.06158447265625,
-0.0258636474609375,
0.0291900634765625,
0.0199737548828125,
-0.0299530029296875,
0.0738525390625,
-0.0101776123046875,
-0.06915283203125,
-0.036224365234375,
0.00925445556640625,
0.03424072265625,
0.045623779296875,
0.0391845703125,
-0.0045166015625,
-0.027313232421875,
-0.08465576171875,
0.006351470947265625,
-0.0061492919921875,
0.0086822509765625,
0.0163726806640625,
0.049774169921875,
-0.004421234130859375,
0.060577392578125,
-0.0285797119140625,
-0.00730133056640625,
-0.0177764892578125,
0.004337310791015625,
0.03253173828125,
0.06536865234375,
0.05548095703125,
-0.03521728515625,
-0.0172576904296875,
-0.0244598388671875,
-0.0645751953125,
0.034027099609375,
-0.007793426513671875,
-0.026580810546875,
-0.00852203369140625,
0.01500701904296875,
-0.0333251953125,
0.054473876953125,
0.01483917236328125,
-0.00689697265625,
0.050323486328125,
-0.051025390625,
-0.0248260498046875,
-0.06793212890625,
0.0185089111328125,
0.018096923828125,
0.0024356842041015625,
-0.0236968994140625,
0.0084075927734375,
0.0159454345703125,
-0.0171661376953125,
-0.03338623046875,
0.0364990234375,
0.003566741943359375,
0.004245758056640625,
-0.014312744140625,
-0.031402587890625,
-0.007350921630859375,
0.058868408203125,
0.02008056640625,
0.034271240234375,
0.049560546875,
-0.050994873046875,
0.039947509765625,
0.042144775390625,
-0.0307464599609375,
0.0305633544921875,
-0.07891845703125,
0.0088653564453125,
-0.008819580078125,
0.00812530517578125,
-0.057159423828125,
-0.0230560302734375,
0.04052734375,
-0.0361328125,
0.023223876953125,
-0.0079803466796875,
-0.046905517578125,
-0.04425048828125,
-0.00838470458984375,
0.01349639892578125,
0.04986572265625,
-0.06109619140625,
0.033294677734375,
-0.010894775390625,
0.02288818359375,
-0.040435791015625,
-0.0504150390625,
-0.022369384765625,
0.004245758056640625,
-0.0307464599609375,
0.020751953125,
-0.0208282470703125,
0.02294921875,
0.0081939697265625,
0.01270294189453125,
-0.0212554931640625,
-0.004985809326171875,
0.0205535888671875,
0.03839111328125,
-0.003940582275390625,
0.0165863037109375,
0.001804351806640625,
-0.002574920654296875,
0.021636962890625,
0.01221466064453125,
0.037506103515625,
-0.005779266357421875,
-0.021026611328125,
-0.056915283203125,
-0.0096588134765625,
0.030181884765625,
-0.00946044921875,
0.0662841796875,
0.0682373046875,
-0.043426513671875,
0.002368927001953125,
-0.029144287109375,
-0.00222015380859375,
-0.0304718017578125,
0.03582763671875,
-0.0377197265625,
-0.00878143310546875,
0.042572021484375,
0.0246124267578125,
0.01528167724609375,
0.06561279296875,
0.04864501953125,
-0.00650787353515625,
0.08233642578125,
0.02716064453125,
-0.01044464111328125,
0.0312347412109375,
-0.0484619140625,
-0.0106201171875,
-0.05670166015625,
-0.03399658203125,
-0.03997802734375,
-0.0266571044921875,
-0.0418701171875,
0.0017633438110351562,
0.01349639892578125,
0.00817108154296875,
-0.040313720703125,
0.0240631103515625,
-0.0443115234375,
0.0308380126953125,
0.060150146484375,
0.046234130859375,
-0.0196685791015625,
0.01500701904296875,
-0.01428985595703125,
-0.00440216064453125,
-0.06671142578125,
-0.03314208984375,
0.1026611328125,
0.044189453125,
0.05438232421875,
-0.01189422607421875,
0.05426025390625,
0.007114410400390625,
0.01354217529296875,
-0.0352783203125,
0.03631591796875,
0.0008406639099121094,
-0.07025146484375,
-0.0274658203125,
-0.017181396484375,
-0.0516357421875,
0.0079498291015625,
-0.041015625,
-0.03961181640625,
0.003246307373046875,
0.020263671875,
-0.030792236328125,
0.0308990478515625,
-0.042572021484375,
0.0830078125,
-0.0226287841796875,
-0.035400390625,
-0.0215911865234375,
-0.048980712890625,
0.00901031494140625,
0.00485992431640625,
-0.030517578125,
0.0009717941284179688,
0.0256195068359375,
0.07647705078125,
-0.040557861328125,
0.053680419921875,
-0.0362548828125,
0.0214080810546875,
0.027740478515625,
-0.034393310546875,
0.039459228515625,
0.004367828369140625,
-0.02276611328125,
0.0173492431640625,
-0.005947113037109375,
-0.05303955078125,
-0.0238800048828125,
0.04864501953125,
-0.09442138671875,
-0.0029659271240234375,
-0.032867431640625,
-0.0380859375,
-0.0049591064453125,
0.00894927978515625,
0.045623779296875,
0.05145263671875,
-0.025299072265625,
0.01483917236328125,
0.041748046875,
-0.0058441162109375,
0.03753662109375,
0.01427459716796875,
0.0010328292846679688,
-0.031341552734375,
0.06610107421875,
-0.0051727294921875,
0.004810333251953125,
-0.00865936279296875,
0.0084991455078125,
-0.032257080078125,
-0.039337158203125,
-0.04351806640625,
0.020782470703125,
-0.05706787109375,
-0.009765625,
-0.0189208984375,
-0.04522705078125,
-0.0240631103515625,
0.00818634033203125,
-0.028778076171875,
-0.00391387939453125,
-0.039459228515625,
-0.00911712646484375,
0.015960693359375,
0.044891357421875,
-0.0048980712890625,
0.054901123046875,
-0.047943115234375,
0.004398345947265625,
0.011474609375,
0.040283203125,
0.00894927978515625,
-0.059600830078125,
-0.039581298828125,
0.006298065185546875,
-0.0225677490234375,
-0.032318115234375,
0.0297698974609375,
0.01493072509765625,
0.05615234375,
0.0338134765625,
-0.01412200927734375,
0.0634765625,
-0.03228759765625,
0.055694580078125,
0.021484375,
-0.040283203125,
0.029815673828125,
-0.019927978515625,
0.02581787109375,
0.042144775390625,
0.040618896484375,
0.0095367431640625,
-0.01129150390625,
-0.0947265625,
-0.050201416015625,
0.061798095703125,
0.02655029296875,
0.02069091796875,
0.00530242919921875,
0.03790283203125,
0.003482818603515625,
0.0159149169921875,
-0.057586669921875,
-0.033905029296875,
-0.0241546630859375,
-0.01221466064453125,
-0.01270294189453125,
-0.0323486328125,
-0.01409912109375,
-0.05462646484375,
0.0841064453125,
0.0056304931640625,
0.039581298828125,
0.00861358642578125,
0.0079345703125,
-0.0193634033203125,
-0.0090179443359375,
0.040924072265625,
0.05511474609375,
-0.061798095703125,
-0.0294952392578125,
0.00347137451171875,
-0.033477783203125,
-0.01534271240234375,
0.0257720947265625,
-0.0118408203125,
0.0238037109375,
0.0269927978515625,
0.08465576171875,
0.0038394927978515625,
-0.0157318115234375,
0.0283050537109375,
-0.01302337646484375,
-0.0300750732421875,
-0.0325927734375,
0.01514434814453125,
-0.01050567626953125,
0.00806427001953125,
0.011199951171875,
0.028717041015625,
-0.0070037841796875,
-0.00457000732421875,
0.010955810546875,
0.01403045654296875,
-0.02862548828125,
-0.019744873046875,
0.055755615234375,
0.0188751220703125,
-0.0200958251953125,
0.06683349609375,
-0.0067596435546875,
-0.0152587890625,
0.0543212890625,
0.038238525390625,
0.06036376953125,
-0.005443572998046875,
-0.0003190040588378906,
0.0638427734375,
0.010345458984375,
-0.0108795166015625,
0.0312347412109375,
0.0012540817260742188,
-0.0474853515625,
-0.0244598388671875,
-0.05181884765625,
-0.0301055908203125,
0.041839599609375,
-0.087890625,
0.02716064453125,
-0.048797607421875,
-0.0291900634765625,
0.0287322998046875,
-0.004489898681640625,
-0.07733154296875,
0.046875,
0.0184478759765625,
0.08673095703125,
-0.06512451171875,
0.076171875,
0.05145263671875,
-0.0377197265625,
-0.0633544921875,
-0.01055908203125,
-0.0294952392578125,
-0.0723876953125,
0.059600830078125,
-0.00322723388671875,
0.02886962890625,
0.006237030029296875,
-0.052764892578125,
-0.0474853515625,
0.054931640625,
0.017608642578125,
-0.058197021484375,
-0.006069183349609375,
0.006061553955078125,
0.05877685546875,
-0.01409912109375,
0.045654296875,
0.0181121826171875,
0.0200653076171875,
0.012176513671875,
-0.0675048828125,
-0.02685546875,
-0.0272369384765625,
0.01520538330078125,
0.00652313232421875,
-0.03839111328125,
0.06744384765625,
-0.0003981590270996094,
0.037017822265625,
0.020721435546875,
0.050811767578125,
0.004299163818359375,
0.0011568069458007812,
0.0246734619140625,
0.06591796875,
0.045623779296875,
-0.00801849365234375,
0.08404541015625,
-0.045501708984375,
0.056121826171875,
0.09112548828125,
-0.0030059814453125,
0.055877685546875,
0.0205078125,
-0.0158233642578125,
0.0202178955078125,
0.060821533203125,
-0.0416259765625,
0.0418701171875,
0.0221099853515625,
0.0014543533325195312,
-0.036224365234375,
0.019378662109375,
-0.048614501953125,
0.024200439453125,
0.0024509429931640625,
-0.05535888671875,
-0.0276336669921875,
-0.01302337646484375,
-0.010650634765625,
-0.01398468017578125,
-0.029205322265625,
0.032958984375,
-0.037689208984375,
-0.032257080078125,
0.05670166015625,
0.0023441314697265625,
0.02813720703125,
-0.0565185546875,
-0.0010747909545898438,
0.0086517333984375,
0.0347900390625,
-0.011016845703125,
-0.048126220703125,
0.01568603515625,
-0.0023975372314453125,
-0.018707275390625,
-0.00229644775390625,
0.047882080078125,
-0.0231170654296875,
-0.0626220703125,
0.01343536376953125,
0.03155517578125,
0.029144287109375,
0.00670623779296875,
-0.088134765625,
0.001201629638671875,
-0.00685882568359375,
-0.0275115966796875,
0.0193634033203125,
0.007266998291015625,
0.019500732421875,
0.0341796875,
0.0426025390625,
-0.0005373954772949219,
0.003467559814453125,
0.018524169921875,
0.07061767578125,
-0.043670654296875,
-0.032135009765625,
-0.055877685546875,
0.0281982421875,
-0.02032470703125,
-0.062164306640625,
0.03936767578125,
0.06817626953125,
0.0780029296875,
-0.0268402099609375,
0.047760009765625,
-0.0025482177734375,
0.03399658203125,
-0.0267486572265625,
0.05462646484375,
-0.028717041015625,
-0.01493072509765625,
-0.0171966552734375,
-0.061767578125,
0.002338409423828125,
0.0626220703125,
-0.017425537109375,
0.01102447509765625,
0.0292816162109375,
0.043609619140625,
0.0005178451538085938,
0.01088714599609375,
0.0222320556640625,
-0.0057220458984375,
0.015960693359375,
0.0295257568359375,
0.033935546875,
-0.05865478515625,
0.032623291015625,
-0.04931640625,
-0.0080718994140625,
-0.010955810546875,
-0.049163818359375,
-0.07769775390625,
-0.0214385986328125,
-0.03662109375,
-0.03851318359375,
0.018157958984375,
0.0751953125,
0.058380126953125,
-0.04595947265625,
-0.030487060546875,
0.0032100677490234375,
-0.0246734619140625,
-0.0300140380859375,
-0.01302337646484375,
0.038726806640625,
-0.03326416015625,
-0.056243896484375,
-0.0028438568115234375,
-0.0272216796875,
0.0178375244140625,
-0.01020050048828125,
-0.0235137939453125,
-0.02215576171875,
-0.0258026123046875,
0.0159759521484375,
0.0028514862060546875,
-0.037384033203125,
-0.0294647216796875,
-0.0175628662109375,
-0.01183319091796875,
0.0176544189453125,
0.0158233642578125,
-0.04718017578125,
0.042022705078125,
0.01434326171875,
0.02923583984375,
0.053680419921875,
-0.00763702392578125,
0.0229034423828125,
-0.052825927734375,
0.020904541015625,
0.01406097412109375,
0.029144287109375,
0.00559234619140625,
-0.021484375,
0.039459228515625,
0.0304107666015625,
-0.039886474609375,
-0.048431396484375,
-0.0196685791015625,
-0.07867431640625,
0.00604248046875,
0.07403564453125,
-0.009490966796875,
-0.04193115234375,
0.031341552734375,
-0.0162811279296875,
0.03350830078125,
-0.02392578125,
0.041839599609375,
0.05841064453125,
-0.00879669189453125,
0.012054443359375,
-0.033050537109375,
0.031768798828125,
0.02838134765625,
-0.045684814453125,
-0.01384735107421875,
0.0239715576171875,
0.0264739990234375,
0.005855560302734375,
0.019805908203125,
0.000560760498046875,
0.032562255859375,
-0.00045943260192871094,
0.04241943359375,
-0.0258636474609375,
-0.0230560302734375,
-0.02197265625,
0.007640838623046875,
0.0091400146484375,
-0.0421142578125
]
] |
gokuls/HBERTv1_48_L12_H128_A2 | 2023-10-02T06:01:06.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L12_H128_A2 | 0 | 2 | transformers | 2023-09-29T22:49:47 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_L12_H128_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.1586486900873364
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_L12_H128_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7880
- Accuracy: 0.1586
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 80
- eval_batch_size: 80
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,583 | [
[
-0.0302886962890625,
-0.0496826171875,
0.006725311279296875,
0.01201629638671875,
-0.03228759765625,
-0.0330810546875,
-0.02410888671875,
-0.0257720947265625,
0.00669097900390625,
0.01509857177734375,
-0.050079345703125,
-0.037353515625,
-0.043121337890625,
-0.017913818359375,
-0.0205841064453125,
0.09954833984375,
0.01026153564453125,
0.0305938720703125,
-0.01035308837890625,
0.00750732421875,
-0.01483917236328125,
-0.051788330078125,
-0.06280517578125,
-0.0570068359375,
0.03704833984375,
-0.00048828125,
0.07159423828125,
0.0640869140625,
0.05242919921875,
0.0155181884765625,
-0.031463623046875,
-0.01560211181640625,
-0.051116943359375,
-0.0250396728515625,
0.003971099853515625,
-0.0247650146484375,
-0.05413818359375,
-0.0025691986083984375,
0.058319091796875,
0.02154541015625,
-0.0263671875,
0.033416748046875,
0.0149383544921875,
0.033416748046875,
-0.0335693359375,
0.026519775390625,
-0.0380859375,
0.0228271484375,
-0.012115478515625,
-0.013671875,
-0.03607177734375,
-0.00835418701171875,
0.013214111328125,
-0.0380859375,
0.042510986328125,
-0.0079193115234375,
0.10247802734375,
0.0284423828125,
0.00965118408203125,
0.00927734375,
-0.0640869140625,
0.041168212890625,
-0.055206298828125,
0.0203857421875,
0.029876708984375,
0.04693603515625,
-0.00007605552673339844,
-0.058441162109375,
-0.034210205078125,
-0.0104827880859375,
0.00316619873046875,
0.0189208984375,
-0.00531768798828125,
0.00505828857421875,
0.04986572265625,
0.022705078125,
-0.03277587890625,
0.01287078857421875,
-0.041778564453125,
-0.0140838623046875,
0.047576904296875,
0.0248870849609375,
-0.012725830078125,
-0.0175628662109375,
-0.032196044921875,
-0.02752685546875,
-0.029693603515625,
0.01561737060546875,
0.05126953125,
0.0216827392578125,
-0.02789306640625,
0.039825439453125,
0.0005712509155273438,
0.06268310546875,
0.0019435882568359375,
-0.005126953125,
0.039703369140625,
-0.00524139404296875,
-0.03546142578125,
-0.012969970703125,
0.061279296875,
0.0296478271484375,
0.0284881591796875,
-0.0001653432846069336,
-0.0226898193359375,
-0.025665283203125,
0.042144775390625,
-0.05841064453125,
-0.03900146484375,
-0.0010728836059570312,
-0.0570068359375,
-0.042083740234375,
-0.002056121826171875,
-0.03924560546875,
0.00876617431640625,
-0.03741455078125,
0.0430908203125,
-0.045562744140625,
-0.0079193115234375,
-0.001422882080078125,
-0.01548004150390625,
0.026763916015625,
0.02056884765625,
-0.062408447265625,
0.02215576171875,
0.0253753662109375,
0.0306396484375,
0.0166168212890625,
-0.03240966796875,
-0.006683349609375,
0.0007562637329101562,
-0.023681640625,
0.03302001953125,
-0.02197265625,
-0.02655029296875,
-0.00006783008575439453,
0.005893707275390625,
-0.0081024169921875,
-0.0284881591796875,
0.07135009765625,
-0.0288238525390625,
0.01424407958984375,
-0.0200958251953125,
-0.055938720703125,
-0.008575439453125,
0.01910400390625,
-0.0494384765625,
0.08734130859375,
0.006160736083984375,
-0.04937744140625,
0.042327880859375,
-0.046600341796875,
-0.01165008544921875,
0.0215911865234375,
-0.006664276123046875,
-0.06011962890625,
0.0020313262939453125,
0.007648468017578125,
0.039154052734375,
-0.00656890869140625,
0.02886962890625,
-0.035003662109375,
-0.04425048828125,
-0.003871917724609375,
-0.037506103515625,
0.055206298828125,
0.008575439453125,
-0.020599365234375,
0.0207061767578125,
-0.08056640625,
0.02203369140625,
0.02362060546875,
-0.04248046875,
0.0098114013671875,
-0.0009021759033203125,
0.03955078125,
0.012786865234375,
0.0262603759765625,
-0.044891357421875,
0.00927734375,
-0.0221710205078125,
0.01045989990234375,
0.053253173828125,
-0.01267242431640625,
-0.006450653076171875,
-0.029296875,
0.005645751953125,
-0.002674102783203125,
0.04266357421875,
0.0210723876953125,
-0.043365478515625,
-0.06182861328125,
-0.0255126953125,
0.0295867919921875,
0.020599365234375,
-0.0305938720703125,
0.0732421875,
-0.0093536376953125,
-0.068603515625,
-0.036712646484375,
0.0095062255859375,
0.0347900390625,
0.046234130859375,
0.03912353515625,
-0.00487518310546875,
-0.0272674560546875,
-0.0848388671875,
0.006153106689453125,
-0.006122589111328125,
0.0089111328125,
0.01678466796875,
0.049560546875,
-0.00421905517578125,
0.059295654296875,
-0.0295867919921875,
-0.00751495361328125,
-0.01806640625,
0.0047607421875,
0.03179931640625,
0.06549072265625,
0.0550537109375,
-0.034149169921875,
-0.0177764892578125,
-0.0246734619140625,
-0.06463623046875,
0.03363037109375,
-0.00792694091796875,
-0.02685546875,
-0.00823211669921875,
0.0147552490234375,
-0.031646728515625,
0.05499267578125,
0.014312744140625,
-0.00647735595703125,
0.049652099609375,
-0.051116943359375,
-0.023468017578125,
-0.0672607421875,
0.0174407958984375,
0.0189971923828125,
0.002552032470703125,
-0.023681640625,
0.00788116455078125,
0.015655517578125,
-0.016632080078125,
-0.035003662109375,
0.03619384765625,
0.003238677978515625,
0.004657745361328125,
-0.01468658447265625,
-0.031280517578125,
-0.007030487060546875,
0.058990478515625,
0.0193634033203125,
0.03369140625,
0.0498046875,
-0.050872802734375,
0.0406494140625,
0.0426025390625,
-0.0312042236328125,
0.02911376953125,
-0.07940673828125,
0.00865936279296875,
-0.01021575927734375,
0.00772857666015625,
-0.056884765625,
-0.0230560302734375,
0.041015625,
-0.035797119140625,
0.0236663818359375,
-0.0080108642578125,
-0.046722412109375,
-0.04443359375,
-0.00835418701171875,
0.01354217529296875,
0.051513671875,
-0.06195068359375,
0.031829833984375,
-0.0105133056640625,
0.023712158203125,
-0.04071044921875,
-0.05096435546875,
-0.0224609375,
0.003978729248046875,
-0.030242919921875,
0.02081298828125,
-0.0196685791015625,
0.0224609375,
0.00823211669921875,
0.011962890625,
-0.0217132568359375,
-0.004947662353515625,
0.0201873779296875,
0.03826904296875,
-0.0043487548828125,
0.0171966552734375,
0.0011196136474609375,
-0.002132415771484375,
0.0214996337890625,
0.0119781494140625,
0.03753662109375,
-0.0060577392578125,
-0.02093505859375,
-0.058349609375,
-0.0099639892578125,
0.029693603515625,
-0.00984954833984375,
0.06597900390625,
0.06890869140625,
-0.044464111328125,
0.00311279296875,
-0.0288238525390625,
-0.0019273757934570312,
-0.0305023193359375,
0.035552978515625,
-0.0372314453125,
-0.00798797607421875,
0.04132080078125,
0.023834228515625,
0.01396942138671875,
0.06591796875,
0.049163818359375,
-0.00714874267578125,
0.08258056640625,
0.02740478515625,
-0.0111083984375,
0.0313720703125,
-0.048492431640625,
-0.01004791259765625,
-0.05596923828125,
-0.0335693359375,
-0.040191650390625,
-0.026336669921875,
-0.0423583984375,
0.0021572113037109375,
0.0148162841796875,
0.00815582275390625,
-0.0401611328125,
0.024810791015625,
-0.0440673828125,
0.0305023193359375,
0.05938720703125,
0.046875,
-0.01995849609375,
0.015655517578125,
-0.01251220703125,
-0.005725860595703125,
-0.06744384765625,
-0.0330810546875,
0.10125732421875,
0.044952392578125,
0.056610107421875,
-0.01195526123046875,
0.054962158203125,
0.00794219970703125,
0.01349639892578125,
-0.0367431640625,
0.035400390625,
0.0018587112426757812,
-0.0694580078125,
-0.027923583984375,
-0.0165863037109375,
-0.05194091796875,
0.00911712646484375,
-0.04217529296875,
-0.03961181640625,
0.0032939910888671875,
0.021240234375,
-0.030731201171875,
0.0307769775390625,
-0.04150390625,
0.0836181640625,
-0.0233154296875,
-0.037506103515625,
-0.0221099853515625,
-0.048126220703125,
0.0084381103515625,
0.0052947998046875,
-0.030975341796875,
0.000392913818359375,
0.0253448486328125,
0.0765380859375,
-0.039215087890625,
0.052093505859375,
-0.0364990234375,
0.02069091796875,
0.028900146484375,
-0.0347900390625,
0.039581298828125,
0.00392913818359375,
-0.0234375,
0.0165863037109375,
-0.005786895751953125,
-0.0540771484375,
-0.0246124267578125,
0.048004150390625,
-0.09375,
-0.003704071044921875,
-0.03289794921875,
-0.036865234375,
-0.0036983489990234375,
0.0083770751953125,
0.04541015625,
0.05126953125,
-0.0251007080078125,
0.01507568359375,
0.041015625,
-0.006092071533203125,
0.036956787109375,
0.013458251953125,
0.0012187957763671875,
-0.0307159423828125,
0.06573486328125,
-0.00518035888671875,
0.00469207763671875,
-0.00844573974609375,
0.009124755859375,
-0.031036376953125,
-0.0389404296875,
-0.0440673828125,
0.020538330078125,
-0.056976318359375,
-0.00867462158203125,
-0.018463134765625,
-0.044586181640625,
-0.0238189697265625,
0.00847625732421875,
-0.02886962890625,
-0.003627777099609375,
-0.03887939453125,
-0.00853729248046875,
0.0148468017578125,
0.045013427734375,
-0.003662109375,
0.0556640625,
-0.048248291015625,
0.00316619873046875,
0.01081085205078125,
0.0390625,
0.009124755859375,
-0.059814453125,
-0.040618896484375,
0.0056915283203125,
-0.0238189697265625,
-0.032562255859375,
0.031036376953125,
0.0146026611328125,
0.05633544921875,
0.03387451171875,
-0.01439666748046875,
0.06341552734375,
-0.032562255859375,
0.055389404296875,
0.0218353271484375,
-0.040283203125,
0.0299835205078125,
-0.01922607421875,
0.0257568359375,
0.042327880859375,
0.0418701171875,
0.0091705322265625,
-0.0099334716796875,
-0.09393310546875,
-0.04913330078125,
0.06134033203125,
0.0267333984375,
0.01971435546875,
0.00679779052734375,
0.038177490234375,
0.0037822723388671875,
0.0168914794921875,
-0.05755615234375,
-0.03436279296875,
-0.023590087890625,
-0.012054443359375,
-0.01261138916015625,
-0.031585693359375,
-0.0146331787109375,
-0.0560302734375,
0.0841064453125,
0.005443572998046875,
0.03997802734375,
0.00861358642578125,
0.00768280029296875,
-0.019439697265625,
-0.00865936279296875,
0.04046630859375,
0.055419921875,
-0.062103271484375,
-0.0286865234375,
0.00399017333984375,
-0.032196044921875,
-0.0148468017578125,
0.0236663818359375,
-0.01116180419921875,
0.0236358642578125,
0.0282135009765625,
0.0850830078125,
0.0035877227783203125,
-0.01560211181640625,
0.028656005859375,
-0.01200103759765625,
-0.030914306640625,
-0.032867431640625,
0.0151519775390625,
-0.01131439208984375,
0.007335662841796875,
0.00978851318359375,
0.028076171875,
-0.00650787353515625,
-0.005779266357421875,
0.01125335693359375,
0.01280975341796875,
-0.0296478271484375,
-0.01971435546875,
0.055206298828125,
0.0189971923828125,
-0.0205078125,
0.06658935546875,
-0.00725555419921875,
-0.015716552734375,
0.05450439453125,
0.0380859375,
0.060577392578125,
-0.00414276123046875,
-0.0009822845458984375,
0.06475830078125,
0.0107269287109375,
-0.01052093505859375,
0.0305328369140625,
0.0010738372802734375,
-0.04736328125,
-0.023712158203125,
-0.0506591796875,
-0.0312347412109375,
0.04150390625,
-0.0889892578125,
0.027099609375,
-0.0482177734375,
-0.0281829833984375,
0.0293731689453125,
-0.004497528076171875,
-0.0782470703125,
0.04644775390625,
0.0178375244140625,
0.08624267578125,
-0.0645751953125,
0.07720947265625,
0.05133056640625,
-0.037933349609375,
-0.061920166015625,
-0.00983428955078125,
-0.029510498046875,
-0.07257080078125,
0.060302734375,
-0.00395965576171875,
0.028594970703125,
0.00562286376953125,
-0.053802490234375,
-0.047821044921875,
0.0552978515625,
0.0169525146484375,
-0.0582275390625,
-0.005401611328125,
0.005664825439453125,
0.058746337890625,
-0.01531219482421875,
0.04400634765625,
0.019287109375,
0.0214996337890625,
0.0123443603515625,
-0.0670166015625,
-0.0266571044921875,
-0.02593994140625,
0.0140380859375,
0.006404876708984375,
-0.03887939453125,
0.06793212890625,
-0.0011692047119140625,
0.0367431640625,
0.01983642578125,
0.05029296875,
0.003414154052734375,
0.0016412734985351562,
0.0247039794921875,
0.06536865234375,
0.045684814453125,
-0.0080108642578125,
0.0843505859375,
-0.045562744140625,
0.057098388671875,
0.0909423828125,
-0.0030841827392578125,
0.0557861328125,
0.020751953125,
-0.0161285400390625,
0.019744873046875,
0.06085205078125,
-0.04205322265625,
0.0423583984375,
0.0236968994140625,
0.0013523101806640625,
-0.036529541015625,
0.0196075439453125,
-0.047698974609375,
0.024688720703125,
0.0018320083618164062,
-0.054718017578125,
-0.0274658203125,
-0.01306915283203125,
-0.01019287109375,
-0.01387786865234375,
-0.0292205810546875,
0.0330810546875,
-0.03717041015625,
-0.03228759765625,
0.057952880859375,
0.0029315948486328125,
0.0279693603515625,
-0.055267333984375,
-0.0012559890747070312,
0.00972747802734375,
0.0355224609375,
-0.0115966796875,
-0.046966552734375,
0.01540374755859375,
-0.0021419525146484375,
-0.0187530517578125,
-0.002994537353515625,
0.048187255859375,
-0.0244140625,
-0.062408447265625,
0.0137176513671875,
0.032196044921875,
0.0295867919921875,
0.007205963134765625,
-0.0875244140625,
0.001529693603515625,
-0.006710052490234375,
-0.02783203125,
0.018768310546875,
0.005771636962890625,
0.019439697265625,
0.034393310546875,
0.040679931640625,
-0.0008587837219238281,
0.0030384063720703125,
0.0185699462890625,
0.06988525390625,
-0.043853759765625,
-0.0308685302734375,
-0.05596923828125,
0.0279693603515625,
-0.020172119140625,
-0.06207275390625,
0.03955078125,
0.06787109375,
0.0777587890625,
-0.027313232421875,
0.048309326171875,
-0.00206756591796875,
0.0335693359375,
-0.02679443359375,
0.054656982421875,
-0.029296875,
-0.0155181884765625,
-0.0169525146484375,
-0.061126708984375,
0.0027332305908203125,
0.06219482421875,
-0.0169219970703125,
0.0102081298828125,
0.0306243896484375,
0.04290771484375,
0.0008153915405273438,
0.00958251953125,
0.0228271484375,
-0.005977630615234375,
0.0164031982421875,
0.0290374755859375,
0.03350830078125,
-0.059906005859375,
0.031341552734375,
-0.048736572265625,
-0.00844573974609375,
-0.0111846923828125,
-0.049163818359375,
-0.077392578125,
-0.0206451416015625,
-0.03753662109375,
-0.038818359375,
0.01837158203125,
0.0765380859375,
0.058746337890625,
-0.045684814453125,
-0.0313720703125,
0.00429534912109375,
-0.0240631103515625,
-0.029876708984375,
-0.01268768310546875,
0.038665771484375,
-0.032684326171875,
-0.0560302734375,
-0.003131866455078125,
-0.0273590087890625,
0.0179443359375,
-0.0107574462890625,
-0.0244293212890625,
-0.02239990234375,
-0.025177001953125,
0.0171661376953125,
0.00247955322265625,
-0.03753662109375,
-0.0301055908203125,
-0.0172271728515625,
-0.01165008544921875,
0.0177764892578125,
0.016204833984375,
-0.0469970703125,
0.0413818359375,
0.01512908935546875,
0.0299530029296875,
0.055267333984375,
-0.006801605224609375,
0.0221099853515625,
-0.052093505859375,
0.021087646484375,
0.0135498046875,
0.029205322265625,
0.005443572998046875,
-0.0209197998046875,
0.03997802734375,
0.030242919921875,
-0.039459228515625,
-0.04833984375,
-0.019378662109375,
-0.07928466796875,
0.006542205810546875,
0.07427978515625,
-0.00958251953125,
-0.0423583984375,
0.03253173828125,
-0.01715087890625,
0.033172607421875,
-0.0237579345703125,
0.0416259765625,
0.05963134765625,
-0.0098419189453125,
0.01142120361328125,
-0.033355712890625,
0.031829833984375,
0.0284881591796875,
-0.0465087890625,
-0.0146331787109375,
0.0232391357421875,
0.02587890625,
0.00499725341796875,
0.019500732421875,
0.0008878707885742188,
0.0321044921875,
-0.00028705596923828125,
0.043426513671875,
-0.0256500244140625,
-0.0232391357421875,
-0.0223388671875,
0.0074462890625,
0.00960540771484375,
-0.042999267578125
]
] |
gokuls/HBERTv1_48_L12_H256_A4 | 2023-10-02T06:04:45.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L12_H256_A4 | 0 | 2 | transformers | 2023-09-29T22:50:12 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_L12_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.38430018375683467
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_L12_H256_A4
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7599
- Accuracy: 0.3843
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,584 | [
[
-0.031005859375,
-0.0494384765625,
0.006755828857421875,
0.01151275634765625,
-0.0323486328125,
-0.03369140625,
-0.02398681640625,
-0.026214599609375,
0.006343841552734375,
0.015380859375,
-0.050384521484375,
-0.036773681640625,
-0.042877197265625,
-0.0171356201171875,
-0.021240234375,
0.10064697265625,
0.01099395751953125,
0.030181884765625,
-0.01050567626953125,
0.007175445556640625,
-0.01467132568359375,
-0.052703857421875,
-0.06256103515625,
-0.05645751953125,
0.036224365234375,
-0.00004392862319946289,
0.0723876953125,
0.06451416015625,
0.05218505859375,
0.0154571533203125,
-0.031829833984375,
-0.01543426513671875,
-0.050323486328125,
-0.0249786376953125,
0.004467010498046875,
-0.0254974365234375,
-0.0545654296875,
-0.0020236968994140625,
0.0584716796875,
0.021728515625,
-0.02587890625,
0.033355712890625,
0.0141448974609375,
0.03302001953125,
-0.034698486328125,
0.0254364013671875,
-0.038604736328125,
0.0234832763671875,
-0.01311492919921875,
-0.01435089111328125,
-0.035552978515625,
-0.0091552734375,
0.01351165771484375,
-0.0386962890625,
0.0435791015625,
-0.00821685791015625,
0.1024169921875,
0.0278472900390625,
0.0090789794921875,
0.00849151611328125,
-0.06451416015625,
0.041351318359375,
-0.055450439453125,
0.020538330078125,
0.0302581787109375,
0.046600341796875,
0.00012993812561035156,
-0.058929443359375,
-0.034698486328125,
-0.01031494140625,
0.003215789794921875,
0.0187835693359375,
-0.004756927490234375,
0.00557708740234375,
0.050384521484375,
0.0233154296875,
-0.032989501953125,
0.012847900390625,
-0.041900634765625,
-0.01488494873046875,
0.046875,
0.0249176025390625,
-0.01287078857421875,
-0.017608642578125,
-0.031951904296875,
-0.0268096923828125,
-0.0308380126953125,
0.01467132568359375,
0.0513916015625,
0.020904541015625,
-0.0272979736328125,
0.039337158203125,
0.0008106231689453125,
0.06243896484375,
0.0014324188232421875,
-0.004329681396484375,
0.03997802734375,
-0.006450653076171875,
-0.034759521484375,
-0.01290130615234375,
0.06243896484375,
0.0299072265625,
0.028472900390625,
-0.00011533498764038086,
-0.022308349609375,
-0.025360107421875,
0.042327880859375,
-0.058868408203125,
-0.0386962890625,
-0.0005655288696289062,
-0.05657958984375,
-0.042083740234375,
-0.003368377685546875,
-0.038787841796875,
0.00861358642578125,
-0.03662109375,
0.042236328125,
-0.04638671875,
-0.0074005126953125,
-0.0017185211181640625,
-0.0163726806640625,
0.02655029296875,
0.0204010009765625,
-0.0635986328125,
0.022186279296875,
0.0251922607421875,
0.0303955078125,
0.0162506103515625,
-0.03271484375,
-0.00583648681640625,
0.0012950897216796875,
-0.0238189697265625,
0.032867431640625,
-0.0216827392578125,
-0.026275634765625,
-0.0000470280647277832,
0.005279541015625,
-0.0080413818359375,
-0.0288848876953125,
0.0712890625,
-0.0293426513671875,
0.01409912109375,
-0.0210418701171875,
-0.056060791015625,
-0.00839996337890625,
0.018768310546875,
-0.049560546875,
0.08673095703125,
0.005584716796875,
-0.049896240234375,
0.04351806640625,
-0.046905517578125,
-0.0115509033203125,
0.0220184326171875,
-0.00621795654296875,
-0.06011962890625,
0.0019626617431640625,
0.008453369140625,
0.03973388671875,
-0.006282806396484375,
0.028961181640625,
-0.035186767578125,
-0.04443359375,
-0.003063201904296875,
-0.037933349609375,
0.055694580078125,
0.008270263671875,
-0.0204010009765625,
0.0207061767578125,
-0.07989501953125,
0.0219573974609375,
0.023040771484375,
-0.0421142578125,
0.00957489013671875,
-0.0005698204040527344,
0.0384521484375,
0.012939453125,
0.0262908935546875,
-0.04534912109375,
0.00933074951171875,
-0.0229949951171875,
0.0117034912109375,
0.053802490234375,
-0.0119781494140625,
-0.005985260009765625,
-0.0287628173828125,
0.0052947998046875,
-0.002925872802734375,
0.0439453125,
0.02117919921875,
-0.04327392578125,
-0.06268310546875,
-0.02532958984375,
0.0291290283203125,
0.02032470703125,
-0.0296783447265625,
0.07305908203125,
-0.009552001953125,
-0.068603515625,
-0.03759765625,
0.01031494140625,
0.034759521484375,
0.045867919921875,
0.03948974609375,
-0.004924774169921875,
-0.027740478515625,
-0.08544921875,
0.005825042724609375,
-0.005878448486328125,
0.00942230224609375,
0.01654052734375,
0.0498046875,
-0.004276275634765625,
0.06024169921875,
-0.0289154052734375,
-0.00775146484375,
-0.0183868408203125,
0.0037822723388671875,
0.031219482421875,
0.06500244140625,
0.0550537109375,
-0.03466796875,
-0.016693115234375,
-0.0251922607421875,
-0.065673828125,
0.034210205078125,
-0.007297515869140625,
-0.0272674560546875,
-0.0081634521484375,
0.01514434814453125,
-0.03240966796875,
0.0548095703125,
0.01409912109375,
-0.006439208984375,
0.05023193359375,
-0.0509033203125,
-0.023956298828125,
-0.06671142578125,
0.0175628662109375,
0.01812744140625,
0.00234222412109375,
-0.024017333984375,
0.00785064697265625,
0.0161895751953125,
-0.0164337158203125,
-0.03472900390625,
0.036041259765625,
0.0030670166015625,
0.003726959228515625,
-0.0140533447265625,
-0.031005859375,
-0.006877899169921875,
0.058685302734375,
0.0190582275390625,
0.033966064453125,
0.049591064453125,
-0.0516357421875,
0.04071044921875,
0.0428466796875,
-0.030487060546875,
0.0291900634765625,
-0.0787353515625,
0.008758544921875,
-0.00955963134765625,
0.0084075927734375,
-0.056488037109375,
-0.022247314453125,
0.04052734375,
-0.035675048828125,
0.0225830078125,
-0.0080108642578125,
-0.047149658203125,
-0.044769287109375,
-0.008636474609375,
0.01425933837890625,
0.050628662109375,
-0.06201171875,
0.0316162109375,
-0.0104217529296875,
0.0233001708984375,
-0.040557861328125,
-0.051055908203125,
-0.0220184326171875,
0.0038051605224609375,
-0.030181884765625,
0.0210418701171875,
-0.0204010009765625,
0.0231170654296875,
0.0086517333984375,
0.01181793212890625,
-0.0208740234375,
-0.004711151123046875,
0.020050048828125,
0.037994384765625,
-0.0034503936767578125,
0.0174713134765625,
0.0008797645568847656,
-0.0016870498657226562,
0.02191162109375,
0.01177215576171875,
0.03741455078125,
-0.00597381591796875,
-0.0210113525390625,
-0.057647705078125,
-0.0102386474609375,
0.02972412109375,
-0.0110626220703125,
0.0657958984375,
0.06915283203125,
-0.043731689453125,
0.0029449462890625,
-0.02899169921875,
-0.0020961761474609375,
-0.0306243896484375,
0.035400390625,
-0.037109375,
-0.009063720703125,
0.041778564453125,
0.025115966796875,
0.01488494873046875,
0.06634521484375,
0.049591064453125,
-0.006679534912109375,
0.08306884765625,
0.026580810546875,
-0.01020050048828125,
0.031280517578125,
-0.048828125,
-0.01020050048828125,
-0.0572509765625,
-0.033721923828125,
-0.039459228515625,
-0.0257720947265625,
-0.042510986328125,
0.0025653839111328125,
0.01456451416015625,
0.007785797119140625,
-0.03973388671875,
0.0241241455078125,
-0.04443359375,
0.0302581787109375,
0.059356689453125,
0.04583740234375,
-0.019989013671875,
0.01467132568359375,
-0.0126953125,
-0.00511932373046875,
-0.0672607421875,
-0.0330810546875,
0.1025390625,
0.04473876953125,
0.05511474609375,
-0.011322021484375,
0.055206298828125,
0.00804901123046875,
0.0134429931640625,
-0.036773681640625,
0.036346435546875,
0.0014772415161132812,
-0.0699462890625,
-0.027557373046875,
-0.01739501953125,
-0.052154541015625,
0.00868988037109375,
-0.04156494140625,
-0.0394287109375,
0.0037517547607421875,
0.0218658447265625,
-0.030487060546875,
0.0302886962890625,
-0.04168701171875,
0.08380126953125,
-0.022674560546875,
-0.036956787109375,
-0.022308349609375,
-0.04791259765625,
0.00927734375,
0.004924774169921875,
-0.0302886962890625,
0.0001385211944580078,
0.02508544921875,
0.07757568359375,
-0.040313720703125,
0.052398681640625,
-0.03656005859375,
0.020660400390625,
0.0283355712890625,
-0.034759521484375,
0.0386962890625,
0.004337310791015625,
-0.0230560302734375,
0.0166015625,
-0.005756378173828125,
-0.05340576171875,
-0.0247955322265625,
0.048736572265625,
-0.09405517578125,
-0.00408935546875,
-0.032623291015625,
-0.036376953125,
-0.004638671875,
0.0081787109375,
0.04632568359375,
0.051849365234375,
-0.0247802734375,
0.01468658447265625,
0.041534423828125,
-0.006481170654296875,
0.037445068359375,
0.013763427734375,
0.0021495819091796875,
-0.031005859375,
0.06597900390625,
-0.004489898681640625,
0.005084991455078125,
-0.00907135009765625,
0.00849151611328125,
-0.03155517578125,
-0.038970947265625,
-0.043243408203125,
0.020477294921875,
-0.058013916015625,
-0.009429931640625,
-0.018798828125,
-0.044677734375,
-0.0241546630859375,
0.00890350341796875,
-0.0288848876953125,
-0.004489898681640625,
-0.038787841796875,
-0.0092926025390625,
0.015777587890625,
0.044891357421875,
-0.004169464111328125,
0.05523681640625,
-0.0482177734375,
0.00421142578125,
0.011444091796875,
0.03973388671875,
0.00952911376953125,
-0.059600830078125,
-0.04095458984375,
0.005870819091796875,
-0.0234375,
-0.033447265625,
0.0306396484375,
0.0152587890625,
0.056732177734375,
0.033843994140625,
-0.01476287841796875,
0.0635986328125,
-0.032623291015625,
0.05596923828125,
0.0209503173828125,
-0.04095458984375,
0.0303955078125,
-0.0187835693359375,
0.0260772705078125,
0.042083740234375,
0.041351318359375,
0.009429931640625,
-0.0106201171875,
-0.09381103515625,
-0.04998779296875,
0.061920166015625,
0.027069091796875,
0.0195770263671875,
0.005741119384765625,
0.0379638671875,
0.003002166748046875,
0.0166778564453125,
-0.05743408203125,
-0.03411865234375,
-0.0244140625,
-0.0113372802734375,
-0.01263427734375,
-0.0318603515625,
-0.01425933837890625,
-0.05560302734375,
0.08380126953125,
0.006011962890625,
0.03973388671875,
0.008453369140625,
0.00727081298828125,
-0.018768310546875,
-0.0080108642578125,
0.0396728515625,
0.0555419921875,
-0.062042236328125,
-0.028411865234375,
0.00406646728515625,
-0.032684326171875,
-0.01442718505859375,
0.024261474609375,
-0.0110321044921875,
0.0231781005859375,
0.0279998779296875,
0.08544921875,
0.00368499755859375,
-0.0154571533203125,
0.0289154052734375,
-0.01263427734375,
-0.0308380126953125,
-0.032745361328125,
0.01552581787109375,
-0.01181793212890625,
0.0066375732421875,
0.0102691650390625,
0.027252197265625,
-0.00522613525390625,
-0.00592041015625,
0.01116943359375,
0.0130462646484375,
-0.0290985107421875,
-0.0196685791015625,
0.0548095703125,
0.0189971923828125,
-0.0191497802734375,
0.0670166015625,
-0.00777435302734375,
-0.0160675048828125,
0.054412841796875,
0.038116455078125,
0.06048583984375,
-0.004863739013671875,
-0.0013828277587890625,
0.06427001953125,
0.01055145263671875,
-0.0101470947265625,
0.0305633544921875,
0.0013027191162109375,
-0.04754638671875,
-0.02423095703125,
-0.051483154296875,
-0.030670166015625,
0.04119873046875,
-0.088623046875,
0.026611328125,
-0.048614501953125,
-0.0288543701171875,
0.030487060546875,
-0.004398345947265625,
-0.07830810546875,
0.04669189453125,
0.0182952880859375,
0.085693359375,
-0.064697265625,
0.075927734375,
0.051025390625,
-0.037933349609375,
-0.06219482421875,
-0.01021575927734375,
-0.029327392578125,
-0.07196044921875,
0.060516357421875,
-0.004451751708984375,
0.0292816162109375,
0.005435943603515625,
-0.05377197265625,
-0.04766845703125,
0.054840087890625,
0.01702880859375,
-0.057159423828125,
-0.00598907470703125,
0.0053558349609375,
0.058380126953125,
-0.01473236083984375,
0.04449462890625,
0.0193634033203125,
0.0211029052734375,
0.01201629638671875,
-0.0677490234375,
-0.0249786376953125,
-0.0264739990234375,
0.0146636962890625,
0.007007598876953125,
-0.038055419921875,
0.06787109375,
-0.0010976791381835938,
0.037017822265625,
0.019622802734375,
0.0501708984375,
0.0036182403564453125,
-0.00005418062210083008,
0.0243682861328125,
0.06494140625,
0.045654296875,
-0.007659912109375,
0.0845947265625,
-0.04559326171875,
0.055816650390625,
0.0906982421875,
-0.0027942657470703125,
0.05609130859375,
0.0206756591796875,
-0.015716552734375,
0.0201568603515625,
0.060577392578125,
-0.042572021484375,
0.04144287109375,
0.0234375,
0.0009627342224121094,
-0.03656005859375,
0.0194854736328125,
-0.047637939453125,
0.0250396728515625,
0.0030670166015625,
-0.05511474609375,
-0.0274505615234375,
-0.01279449462890625,
-0.0104522705078125,
-0.01500701904296875,
-0.029296875,
0.033538818359375,
-0.03753662109375,
-0.03277587890625,
0.058258056640625,
0.0033855438232421875,
0.027862548828125,
-0.055389404296875,
-0.0014410018920898438,
0.009063720703125,
0.03497314453125,
-0.0124053955078125,
-0.047393798828125,
0.0156707763671875,
-0.0021381378173828125,
-0.018096923828125,
-0.0026092529296875,
0.04815673828125,
-0.0233917236328125,
-0.061248779296875,
0.01317596435546875,
0.031280517578125,
0.0293426513671875,
0.007366180419921875,
-0.087158203125,
0.00106048583984375,
-0.00714111328125,
-0.02764892578125,
0.019012451171875,
0.006275177001953125,
0.018951416015625,
0.0345458984375,
0.04150390625,
-0.00042629241943359375,
0.0034198760986328125,
0.01861572265625,
0.070556640625,
-0.0443115234375,
-0.031402587890625,
-0.056304931640625,
0.0271453857421875,
-0.0201416015625,
-0.061798095703125,
0.04052734375,
0.06817626953125,
0.07696533203125,
-0.0263214111328125,
0.04876708984375,
-0.0017261505126953125,
0.033538818359375,
-0.026763916015625,
0.053985595703125,
-0.0290069580078125,
-0.01409912109375,
-0.0173797607421875,
-0.061248779296875,
0.0030040740966796875,
0.061676025390625,
-0.01739501953125,
0.01055908203125,
0.02984619140625,
0.042877197265625,
0.0006089210510253906,
0.00963592529296875,
0.021759033203125,
-0.005741119384765625,
0.01641845703125,
0.0294647216796875,
0.03399658203125,
-0.059051513671875,
0.0328369140625,
-0.0484619140625,
-0.0084075927734375,
-0.01093292236328125,
-0.04888916015625,
-0.07769775390625,
-0.0205841064453125,
-0.03741455078125,
-0.038604736328125,
0.0187530517578125,
0.0751953125,
0.05865478515625,
-0.0450439453125,
-0.0310516357421875,
0.003551483154296875,
-0.0243072509765625,
-0.0294342041015625,
-0.01291656494140625,
0.0386962890625,
-0.03326416015625,
-0.055206298828125,
-0.003452301025390625,
-0.0272979736328125,
0.01788330078125,
-0.01113128662109375,
-0.024261474609375,
-0.02191162109375,
-0.025634765625,
0.0167999267578125,
0.002880096435546875,
-0.03759765625,
-0.029327392578125,
-0.017486572265625,
-0.01143646240234375,
0.0174560546875,
0.0156707763671875,
-0.047637939453125,
0.04156494140625,
0.014617919921875,
0.02899169921875,
0.055572509765625,
-0.00800323486328125,
0.0233917236328125,
-0.053070068359375,
0.0208892822265625,
0.014373779296875,
0.0289459228515625,
0.005756378173828125,
-0.0208740234375,
0.03887939453125,
0.0299072265625,
-0.03973388671875,
-0.04815673828125,
-0.0192108154296875,
-0.07794189453125,
0.006591796875,
0.07537841796875,
-0.00945281982421875,
-0.04168701171875,
0.031768798828125,
-0.016265869140625,
0.033172607421875,
-0.0236968994140625,
0.040924072265625,
0.059051513671875,
-0.0097503662109375,
0.0116729736328125,
-0.033599853515625,
0.03387451171875,
0.028411865234375,
-0.046478271484375,
-0.0132598876953125,
0.0234375,
0.0256500244140625,
0.004978179931640625,
0.020294189453125,
0.0004048347473144531,
0.03271484375,
-0.0010356903076171875,
0.04296875,
-0.025604248046875,
-0.022735595703125,
-0.0222320556640625,
0.00704193115234375,
0.0100250244140625,
-0.042083740234375
]
] |
gokuls/HBERTv1_48_L12_H512_A8 | 2023-10-02T06:14:54.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L12_H512_A8 | 0 | 2 | transformers | 2023-09-29T22:51:45 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_L12_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.5056511877490866
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_L12_H512_A8
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8023
- Accuracy: 0.5057
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 56
- eval_batch_size: 56
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,583 | [
[
-0.0310211181640625,
-0.05035400390625,
0.005702972412109375,
0.0123291015625,
-0.032684326171875,
-0.033111572265625,
-0.02435302734375,
-0.0260467529296875,
0.00685882568359375,
0.01486968994140625,
-0.05029296875,
-0.03607177734375,
-0.04248046875,
-0.0176239013671875,
-0.0211639404296875,
0.10040283203125,
0.01091766357421875,
0.0299224853515625,
-0.01088714599609375,
0.007732391357421875,
-0.013641357421875,
-0.051971435546875,
-0.06439208984375,
-0.05682373046875,
0.036224365234375,
0.00022137165069580078,
0.0716552734375,
0.0648193359375,
0.05157470703125,
0.01555633544921875,
-0.03192138671875,
-0.0152740478515625,
-0.05010986328125,
-0.0240631103515625,
0.004886627197265625,
-0.02484130859375,
-0.05474853515625,
-0.0027713775634765625,
0.05853271484375,
0.0214080810546875,
-0.025390625,
0.033966064453125,
0.0138702392578125,
0.032928466796875,
-0.03387451171875,
0.02618408203125,
-0.03839111328125,
0.02471923828125,
-0.01259613037109375,
-0.0143280029296875,
-0.03564453125,
-0.00934600830078125,
0.01317596435546875,
-0.038818359375,
0.0439453125,
-0.00806427001953125,
0.1029052734375,
0.027435302734375,
0.00954437255859375,
0.0084228515625,
-0.06439208984375,
0.04058837890625,
-0.054168701171875,
0.02032470703125,
0.0302276611328125,
0.0467529296875,
-0.00015163421630859375,
-0.058563232421875,
-0.035064697265625,
-0.011016845703125,
0.0031871795654296875,
0.0185089111328125,
-0.003787994384765625,
0.00516510009765625,
0.0504150390625,
0.02313232421875,
-0.033203125,
0.013153076171875,
-0.041748046875,
-0.014404296875,
0.047149658203125,
0.0247650146484375,
-0.01226043701171875,
-0.0166473388671875,
-0.031982421875,
-0.0283355712890625,
-0.0303802490234375,
0.01513671875,
0.05157470703125,
0.0204620361328125,
-0.0278778076171875,
0.03912353515625,
0.0011377334594726562,
0.061859130859375,
0.0013933181762695312,
-0.0041351318359375,
0.039642333984375,
-0.005443572998046875,
-0.034820556640625,
-0.01267242431640625,
0.061676025390625,
0.0290679931640625,
0.028839111328125,
-0.001140594482421875,
-0.022216796875,
-0.0260467529296875,
0.0421142578125,
-0.05780029296875,
-0.038970947265625,
0.00004869699478149414,
-0.05712890625,
-0.0428466796875,
-0.0031414031982421875,
-0.039886474609375,
0.0087432861328125,
-0.0372314453125,
0.04278564453125,
-0.045501708984375,
-0.0093231201171875,
-0.0024929046630859375,
-0.017425537109375,
0.0270843505859375,
0.0199737548828125,
-0.0638427734375,
0.021270751953125,
0.0253753662109375,
0.0302734375,
0.0169677734375,
-0.03314208984375,
-0.005855560302734375,
0.001392364501953125,
-0.0235595703125,
0.032623291015625,
-0.0217742919921875,
-0.0266265869140625,
0.00041484832763671875,
0.00518035888671875,
-0.00795745849609375,
-0.0285491943359375,
0.070068359375,
-0.0300445556640625,
0.01421356201171875,
-0.0206298828125,
-0.055633544921875,
-0.00821685791015625,
0.0189971923828125,
-0.04937744140625,
0.08837890625,
0.006195068359375,
-0.04986572265625,
0.043121337890625,
-0.04791259765625,
-0.0121002197265625,
0.0223846435546875,
-0.006317138671875,
-0.060546875,
0.0018682479858398438,
0.007579803466796875,
0.0394287109375,
-0.00495147705078125,
0.029327392578125,
-0.034637451171875,
-0.04425048828125,
-0.003200531005859375,
-0.0372314453125,
0.05633544921875,
0.0083770751953125,
-0.02032470703125,
0.0209197998046875,
-0.08038330078125,
0.0223388671875,
0.0235748291015625,
-0.04248046875,
0.01015472412109375,
-0.00014340877532958984,
0.039459228515625,
0.01216888427734375,
0.0272216796875,
-0.045166015625,
0.0101776123046875,
-0.0226287841796875,
0.011688232421875,
0.0545654296875,
-0.0127410888671875,
-0.005718231201171875,
-0.028472900390625,
0.00490570068359375,
-0.00319671630859375,
0.0438232421875,
0.0211181640625,
-0.04266357421875,
-0.06378173828125,
-0.025665283203125,
0.0285491943359375,
0.0212554931640625,
-0.0298919677734375,
0.07391357421875,
-0.0090484619140625,
-0.06787109375,
-0.036865234375,
0.009765625,
0.034454345703125,
0.04522705078125,
0.039581298828125,
-0.0050811767578125,
-0.027801513671875,
-0.0845947265625,
0.006893157958984375,
-0.006839752197265625,
0.00954437255859375,
0.0169830322265625,
0.049407958984375,
-0.0038776397705078125,
0.060455322265625,
-0.029083251953125,
-0.00748443603515625,
-0.0184478759765625,
0.0038433074951171875,
0.031158447265625,
0.065185546875,
0.054931640625,
-0.034576416015625,
-0.0164642333984375,
-0.0250091552734375,
-0.06597900390625,
0.03411865234375,
-0.00780487060546875,
-0.0273590087890625,
-0.009124755859375,
0.0159149169921875,
-0.03173828125,
0.05450439453125,
0.0132598876953125,
-0.006237030029296875,
0.050018310546875,
-0.051727294921875,
-0.024566650390625,
-0.06683349609375,
0.01739501953125,
0.0176239013671875,
0.0028667449951171875,
-0.023834228515625,
0.0090484619140625,
0.01508331298828125,
-0.016937255859375,
-0.0343017578125,
0.0364990234375,
0.0030059814453125,
0.0038623809814453125,
-0.01468658447265625,
-0.03155517578125,
-0.00754547119140625,
0.0582275390625,
0.0196990966796875,
0.033782958984375,
0.051239013671875,
-0.05181884765625,
0.04144287109375,
0.042510986328125,
-0.0300445556640625,
0.0284271240234375,
-0.07861328125,
0.00995635986328125,
-0.0102691650390625,
0.007617950439453125,
-0.05718994140625,
-0.0221405029296875,
0.04107666015625,
-0.03533935546875,
0.0231475830078125,
-0.00806427001953125,
-0.047882080078125,
-0.0445556640625,
-0.007843017578125,
0.0144500732421875,
0.050628662109375,
-0.06256103515625,
0.03216552734375,
-0.01090240478515625,
0.023468017578125,
-0.040130615234375,
-0.050262451171875,
-0.0217132568359375,
0.004062652587890625,
-0.0297393798828125,
0.0204315185546875,
-0.019989013671875,
0.0232391357421875,
0.0085296630859375,
0.012786865234375,
-0.021240234375,
-0.003910064697265625,
0.020172119140625,
0.0380859375,
-0.00353240966796875,
0.017669677734375,
0.0020008087158203125,
-0.002147674560546875,
0.0217437744140625,
0.0112457275390625,
0.037628173828125,
-0.004825592041015625,
-0.0201416015625,
-0.05633544921875,
-0.00940704345703125,
0.0285491943359375,
-0.01071929931640625,
0.06573486328125,
0.06976318359375,
-0.043548583984375,
0.002414703369140625,
-0.02850341796875,
-0.0028553009033203125,
-0.0307159423828125,
0.03594970703125,
-0.037017822265625,
-0.00934600830078125,
0.041046142578125,
0.0245513916015625,
0.01511383056640625,
0.0648193359375,
0.050018310546875,
-0.00677490234375,
0.08135986328125,
0.0273590087890625,
-0.01137542724609375,
0.032012939453125,
-0.04888916015625,
-0.010650634765625,
-0.0570068359375,
-0.03369140625,
-0.03955078125,
-0.0258026123046875,
-0.041778564453125,
0.0030651092529296875,
0.01435089111328125,
0.0082244873046875,
-0.039825439453125,
0.02490234375,
-0.044769287109375,
0.031219482421875,
0.0595703125,
0.046295166015625,
-0.0204315185546875,
0.016082763671875,
-0.01284027099609375,
-0.00424957275390625,
-0.06671142578125,
-0.032684326171875,
0.10205078125,
0.044708251953125,
0.05389404296875,
-0.0120391845703125,
0.05523681640625,
0.00809478759765625,
0.013214111328125,
-0.036041259765625,
0.03656005859375,
0.0013065338134765625,
-0.0699462890625,
-0.028076171875,
-0.016937255859375,
-0.0526123046875,
0.00885009765625,
-0.041534423828125,
-0.0399169921875,
0.0032253265380859375,
0.021636962890625,
-0.028839111328125,
0.029937744140625,
-0.0416259765625,
0.0828857421875,
-0.0229034423828125,
-0.03662109375,
-0.0225677490234375,
-0.048004150390625,
0.00839996337890625,
0.006084442138671875,
-0.0308380126953125,
0.00017821788787841797,
0.025421142578125,
0.0772705078125,
-0.039703369140625,
0.05242919921875,
-0.03680419921875,
0.0208740234375,
0.028289794921875,
-0.03472900390625,
0.037994384765625,
0.00467681884765625,
-0.022705078125,
0.0162506103515625,
-0.0066680908203125,
-0.053802490234375,
-0.024078369140625,
0.04742431640625,
-0.09466552734375,
-0.0030384063720703125,
-0.031890869140625,
-0.036407470703125,
-0.004314422607421875,
0.008087158203125,
0.046051025390625,
0.050384521484375,
-0.0247344970703125,
0.01335906982421875,
0.041748046875,
-0.0059814453125,
0.038330078125,
0.01380157470703125,
0.002170562744140625,
-0.0307464599609375,
0.06671142578125,
-0.0053558349609375,
0.00445556640625,
-0.00872802734375,
0.0088043212890625,
-0.0310821533203125,
-0.03814697265625,
-0.0440673828125,
0.020263671875,
-0.057586669921875,
-0.0087432861328125,
-0.018341064453125,
-0.045013427734375,
-0.023956298828125,
0.0091400146484375,
-0.028289794921875,
-0.00447845458984375,
-0.039215087890625,
-0.0089111328125,
0.016204833984375,
0.044189453125,
-0.00441741943359375,
0.05523681640625,
-0.04791259765625,
0.0048828125,
0.01200103759765625,
0.039703369140625,
0.0108642578125,
-0.058837890625,
-0.040863037109375,
0.005107879638671875,
-0.023681640625,
-0.03265380859375,
0.029693603515625,
0.01558685302734375,
0.05712890625,
0.034027099609375,
-0.01535797119140625,
0.062744140625,
-0.032684326171875,
0.05584716796875,
0.0209197998046875,
-0.0404052734375,
0.030303955078125,
-0.0178985595703125,
0.024932861328125,
0.042144775390625,
0.0416259765625,
0.00907135009765625,
-0.01114654541015625,
-0.093505859375,
-0.050628662109375,
0.061309814453125,
0.026611328125,
0.0205535888671875,
0.0061798095703125,
0.03851318359375,
0.0034770965576171875,
0.0164947509765625,
-0.057952880859375,
-0.034698486328125,
-0.0240936279296875,
-0.01108551025390625,
-0.0115966796875,
-0.031494140625,
-0.01430511474609375,
-0.055755615234375,
0.08367919921875,
0.006317138671875,
0.040618896484375,
0.00817108154296875,
0.0072784423828125,
-0.0193023681640625,
-0.00838470458984375,
0.039703369140625,
0.0545654296875,
-0.061309814453125,
-0.02899169921875,
0.0034770965576171875,
-0.033599853515625,
-0.0138702392578125,
0.024200439453125,
-0.01177215576171875,
0.023101806640625,
0.0278778076171875,
0.08575439453125,
0.0019216537475585938,
-0.01538848876953125,
0.0281829833984375,
-0.011810302734375,
-0.0303802490234375,
-0.032989501953125,
0.0160369873046875,
-0.01203155517578125,
0.007610321044921875,
0.01045989990234375,
0.026763916015625,
-0.006343841552734375,
-0.0056304931640625,
0.0107574462890625,
0.01324462890625,
-0.0286712646484375,
-0.0189361572265625,
0.0545654296875,
0.0184326171875,
-0.0199737548828125,
0.06707763671875,
-0.00818634033203125,
-0.016448974609375,
0.0552978515625,
0.038177490234375,
0.06072998046875,
-0.004199981689453125,
-0.0013074874877929688,
0.0640869140625,
0.010467529296875,
-0.0099945068359375,
0.0306396484375,
-0.00004285573959350586,
-0.047943115234375,
-0.0244140625,
-0.05084228515625,
-0.031402587890625,
0.040679931640625,
-0.08843994140625,
0.0269927978515625,
-0.048553466796875,
-0.0282135009765625,
0.0295257568359375,
-0.00445556640625,
-0.0780029296875,
0.04644775390625,
0.01861572265625,
0.0855712890625,
-0.06536865234375,
0.0765380859375,
0.051849365234375,
-0.037933349609375,
-0.061767578125,
-0.010589599609375,
-0.0303192138671875,
-0.0723876953125,
0.060821533203125,
-0.004718780517578125,
0.0298309326171875,
0.005584716796875,
-0.053802490234375,
-0.04669189453125,
0.05419921875,
0.0164031982421875,
-0.05718994140625,
-0.006076812744140625,
0.005550384521484375,
0.05902099609375,
-0.01453399658203125,
0.045257568359375,
0.0188751220703125,
0.020721435546875,
0.0116729736328125,
-0.06719970703125,
-0.0255279541015625,
-0.026702880859375,
0.01416778564453125,
0.006923675537109375,
-0.038604736328125,
0.0677490234375,
-0.0017185211181640625,
0.037506103515625,
0.0195465087890625,
0.05078125,
0.0036220550537109375,
0.0010271072387695312,
0.0249786376953125,
0.065185546875,
0.0457763671875,
-0.007305145263671875,
0.08319091796875,
-0.0445556640625,
0.05682373046875,
0.08990478515625,
-0.00276947021484375,
0.05584716796875,
0.020721435546875,
-0.0165252685546875,
0.01995849609375,
0.060638427734375,
-0.04327392578125,
0.041259765625,
0.024322509765625,
0.0007781982421875,
-0.03662109375,
0.020111083984375,
-0.04864501953125,
0.0247650146484375,
0.0026187896728515625,
-0.055267333984375,
-0.027984619140625,
-0.01207733154296875,
-0.01047515869140625,
-0.01519012451171875,
-0.0290374755859375,
0.034698486328125,
-0.037994384765625,
-0.031890869140625,
0.05694580078125,
0.0034542083740234375,
0.027801513671875,
-0.0556640625,
-0.00176239013671875,
0.00861358642578125,
0.034454345703125,
-0.011810302734375,
-0.047149658203125,
0.01448822021484375,
-0.0022029876708984375,
-0.0188140869140625,
-0.002960205078125,
0.048004150390625,
-0.0244598388671875,
-0.061767578125,
0.01319122314453125,
0.03173828125,
0.0303802490234375,
0.0078582763671875,
-0.0870361328125,
0.0008535385131835938,
-0.007350921630859375,
-0.027191162109375,
0.0201416015625,
0.00641632080078125,
0.0194091796875,
0.033935546875,
0.041168212890625,
0.00014340877532958984,
0.0035152435302734375,
0.0183563232421875,
0.07073974609375,
-0.04351806640625,
-0.03131103515625,
-0.05615234375,
0.02679443359375,
-0.020355224609375,
-0.062255859375,
0.039154052734375,
0.0689697265625,
0.0771484375,
-0.0267181396484375,
0.048248291015625,
-0.0023365020751953125,
0.033294677734375,
-0.0262298583984375,
0.0546875,
-0.02850341796875,
-0.0151824951171875,
-0.0166168212890625,
-0.061309814453125,
0.003505706787109375,
0.06256103515625,
-0.0166778564453125,
0.0101318359375,
0.0295257568359375,
0.042633056640625,
0.0009722709655761719,
0.0099029541015625,
0.02099609375,
-0.00634765625,
0.01617431640625,
0.0298919677734375,
0.034088134765625,
-0.059295654296875,
0.03265380859375,
-0.048858642578125,
-0.0081329345703125,
-0.0102691650390625,
-0.04937744140625,
-0.07763671875,
-0.021240234375,
-0.03802490234375,
-0.0389404296875,
0.018768310546875,
0.0758056640625,
0.0582275390625,
-0.0452880859375,
-0.032073974609375,
0.0036182403564453125,
-0.023712158203125,
-0.029937744140625,
-0.01300048828125,
0.03900146484375,
-0.034210205078125,
-0.055023193359375,
-0.0035991668701171875,
-0.0278167724609375,
0.018280029296875,
-0.01090240478515625,
-0.0235595703125,
-0.0212860107421875,
-0.026031494140625,
0.01702880859375,
0.003238677978515625,
-0.036865234375,
-0.02874755859375,
-0.017669677734375,
-0.01104736328125,
0.017822265625,
0.01654052734375,
-0.047698974609375,
0.04144287109375,
0.01366424560546875,
0.0289459228515625,
0.055419921875,
-0.00823211669921875,
0.0217437744140625,
-0.053680419921875,
0.02203369140625,
0.01361083984375,
0.02801513671875,
0.0047454833984375,
-0.0211334228515625,
0.0389404296875,
0.029998779296875,
-0.0391845703125,
-0.04864501953125,
-0.0194244384765625,
-0.0787353515625,
0.00701141357421875,
0.0751953125,
-0.00922393798828125,
-0.04107666015625,
0.031280517578125,
-0.0167388916015625,
0.03326416015625,
-0.0234832763671875,
0.04193115234375,
0.059478759765625,
-0.00980377197265625,
0.01178741455078125,
-0.032562255859375,
0.033294677734375,
0.0283355712890625,
-0.04669189453125,
-0.0138092041015625,
0.0227508544921875,
0.025146484375,
0.0045623779296875,
0.02032470703125,
0.001064300537109375,
0.032745361328125,
-0.0002865791320800781,
0.04266357421875,
-0.0263824462890625,
-0.023223876953125,
-0.0213165283203125,
0.007404327392578125,
0.010162353515625,
-0.04302978515625
]
] |
gokuls/HBERTv1_48_L10_H768_A12 | 2023-10-02T06:30:24.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L10_H768_A12 | 0 | 2 | transformers | 2023-09-29T22:59:52 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L10_H768_A12
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.5328674662199142
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L10_H768_A12
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6240
- Accuracy: 0.5329
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 56
- eval_batch_size: 56
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,591 | [
[
-0.0305633544921875,
-0.04949951171875,
0.006122589111328125,
0.01154327392578125,
-0.033111572265625,
-0.033447265625,
-0.02484130859375,
-0.0274810791015625,
0.005615234375,
0.01456451416015625,
-0.0487060546875,
-0.036376953125,
-0.042999267578125,
-0.016632080078125,
-0.021240234375,
0.1007080078125,
0.01003265380859375,
0.0304718017578125,
-0.0104522705078125,
0.00838470458984375,
-0.0142669677734375,
-0.05218505859375,
-0.0645751953125,
-0.056854248046875,
0.03521728515625,
-0.0005340576171875,
0.072265625,
0.06463623046875,
0.0517578125,
0.0160064697265625,
-0.033111572265625,
-0.0152130126953125,
-0.050048828125,
-0.0247802734375,
0.004398345947265625,
-0.026092529296875,
-0.055084228515625,
-0.003803253173828125,
0.05859375,
0.0213775634765625,
-0.0256195068359375,
0.03350830078125,
0.01480865478515625,
0.032623291015625,
-0.03314208984375,
0.027435302734375,
-0.03857421875,
0.023468017578125,
-0.0130462646484375,
-0.01380157470703125,
-0.035614013671875,
-0.00823211669921875,
0.012359619140625,
-0.038787841796875,
0.0440673828125,
-0.0087738037109375,
0.10223388671875,
0.02685546875,
0.00952911376953125,
0.00959014892578125,
-0.06500244140625,
0.040283203125,
-0.0550537109375,
0.020172119140625,
0.029510498046875,
0.046600341796875,
0.00017213821411132812,
-0.0584716796875,
-0.03558349609375,
-0.01035308837890625,
0.00360870361328125,
0.0191650390625,
-0.0038509368896484375,
0.005542755126953125,
0.05096435546875,
0.0231475830078125,
-0.032928466796875,
0.01389312744140625,
-0.041656494140625,
-0.01404571533203125,
0.04754638671875,
0.0258331298828125,
-0.0119781494140625,
-0.0176239013671875,
-0.03131103515625,
-0.027679443359375,
-0.029449462890625,
0.0151214599609375,
0.05120849609375,
0.0211639404296875,
-0.028045654296875,
0.040374755859375,
0.00007683038711547852,
0.061920166015625,
0.0012874603271484375,
-0.004955291748046875,
0.039703369140625,
-0.004985809326171875,
-0.0352783203125,
-0.013427734375,
0.06158447265625,
0.0309600830078125,
0.028472900390625,
0.0002694129943847656,
-0.02313232421875,
-0.02520751953125,
0.0411376953125,
-0.057769775390625,
-0.0377197265625,
-0.0006990432739257812,
-0.057342529296875,
-0.042510986328125,
-0.0031585693359375,
-0.039459228515625,
0.009307861328125,
-0.037506103515625,
0.04156494140625,
-0.0462646484375,
-0.00867462158203125,
-0.00243377685546875,
-0.0170440673828125,
0.0264129638671875,
0.0203094482421875,
-0.06353759765625,
0.0209197998046875,
0.026123046875,
0.0309906005859375,
0.016632080078125,
-0.031951904296875,
-0.005710601806640625,
0.002552032470703125,
-0.023406982421875,
0.032928466796875,
-0.0223846435546875,
-0.0281524658203125,
0.000031948089599609375,
0.00547027587890625,
-0.00827789306640625,
-0.0291290283203125,
0.0706787109375,
-0.02850341796875,
0.01389312744140625,
-0.019927978515625,
-0.055267333984375,
-0.0087738037109375,
0.018524169921875,
-0.0491943359375,
0.08795166015625,
0.005523681640625,
-0.0491943359375,
0.04217529296875,
-0.047027587890625,
-0.0125579833984375,
0.0222625732421875,
-0.00641632080078125,
-0.05999755859375,
0.0034885406494140625,
0.006988525390625,
0.03961181640625,
-0.005886077880859375,
0.0305023193359375,
-0.03515625,
-0.04510498046875,
-0.0032863616943359375,
-0.03857421875,
0.055084228515625,
0.00830078125,
-0.021453857421875,
0.0199432373046875,
-0.080810546875,
0.0220184326171875,
0.0239715576171875,
-0.04364013671875,
0.00963592529296875,
-0.0007047653198242188,
0.039520263671875,
0.01280975341796875,
0.0262298583984375,
-0.044921875,
0.00910186767578125,
-0.0232391357421875,
0.01065826416015625,
0.054229736328125,
-0.01373291015625,
-0.00643157958984375,
-0.02874755859375,
0.004787445068359375,
-0.002651214599609375,
0.043792724609375,
0.022796630859375,
-0.04345703125,
-0.0628662109375,
-0.0251312255859375,
0.0286407470703125,
0.0210113525390625,
-0.0308074951171875,
0.07342529296875,
-0.01007843017578125,
-0.068359375,
-0.035247802734375,
0.0095367431640625,
0.035400390625,
0.045867919921875,
0.039215087890625,
-0.005725860595703125,
-0.0269927978515625,
-0.08428955078125,
0.00597381591796875,
-0.006649017333984375,
0.00959014892578125,
0.016937255859375,
0.0489501953125,
-0.003803253173828125,
0.05950927734375,
-0.029205322265625,
-0.00708770751953125,
-0.019195556640625,
0.003936767578125,
0.0312347412109375,
0.06536865234375,
0.054962158203125,
-0.034820556640625,
-0.0178680419921875,
-0.0242156982421875,
-0.065673828125,
0.034637451171875,
-0.007625579833984375,
-0.0263519287109375,
-0.00836181640625,
0.0155487060546875,
-0.033599853515625,
0.055572509765625,
0.01380157470703125,
-0.0061187744140625,
0.05126953125,
-0.051177978515625,
-0.02484130859375,
-0.0672607421875,
0.0186920166015625,
0.0178070068359375,
0.00316619873046875,
-0.0242156982421875,
0.00760650634765625,
0.01474761962890625,
-0.0179901123046875,
-0.0343017578125,
0.0361328125,
0.003574371337890625,
0.004123687744140625,
-0.01453399658203125,
-0.031707763671875,
-0.007404327392578125,
0.058349609375,
0.02008056640625,
0.034423828125,
0.049285888671875,
-0.05120849609375,
0.0399169921875,
0.04278564453125,
-0.030029296875,
0.030426025390625,
-0.0787353515625,
0.00856781005859375,
-0.00980377197265625,
0.00788116455078125,
-0.056182861328125,
-0.0213623046875,
0.041412353515625,
-0.035736083984375,
0.0238800048828125,
-0.00748443603515625,
-0.04754638671875,
-0.04510498046875,
-0.0074005126953125,
0.01346588134765625,
0.050140380859375,
-0.06109619140625,
0.032928466796875,
-0.01215362548828125,
0.022735595703125,
-0.040863037109375,
-0.050689697265625,
-0.0222320556640625,
0.00421905517578125,
-0.029541015625,
0.0209197998046875,
-0.0208892822265625,
0.022674560546875,
0.008209228515625,
0.01197052001953125,
-0.0210418701171875,
-0.0043487548828125,
0.0203857421875,
0.038116455078125,
-0.003559112548828125,
0.017242431640625,
0.002109527587890625,
-0.0030269622802734375,
0.021942138671875,
0.0124664306640625,
0.0374755859375,
-0.004856109619140625,
-0.0209197998046875,
-0.058135986328125,
-0.0086669921875,
0.0295562744140625,
-0.01068115234375,
0.0665283203125,
0.07000732421875,
-0.042877197265625,
0.0029773712158203125,
-0.0281982421875,
-0.0018405914306640625,
-0.030670166015625,
0.0364990234375,
-0.037384033203125,
-0.00848388671875,
0.04144287109375,
0.0239715576171875,
0.01434326171875,
0.06573486328125,
0.049163818359375,
-0.007015228271484375,
0.0826416015625,
0.02734375,
-0.0107574462890625,
0.03167724609375,
-0.04931640625,
-0.00998687744140625,
-0.0574951171875,
-0.03411865234375,
-0.04052734375,
-0.025909423828125,
-0.0411376953125,
0.002475738525390625,
0.01345062255859375,
0.00829315185546875,
-0.039642333984375,
0.0239715576171875,
-0.04443359375,
0.030609130859375,
0.059295654296875,
0.04620361328125,
-0.0197601318359375,
0.01549530029296875,
-0.01352691650390625,
-0.00417327880859375,
-0.0670166015625,
-0.032684326171875,
0.10235595703125,
0.04376220703125,
0.0533447265625,
-0.0116119384765625,
0.055145263671875,
0.007602691650390625,
0.01369476318359375,
-0.0360107421875,
0.03692626953125,
0.00044155120849609375,
-0.069580078125,
-0.027191162109375,
-0.0174713134765625,
-0.05133056640625,
0.00829315185546875,
-0.041290283203125,
-0.039276123046875,
0.0033245086669921875,
0.0211944580078125,
-0.0301361083984375,
0.031524658203125,
-0.04193115234375,
0.083251953125,
-0.022552490234375,
-0.0357666015625,
-0.0224761962890625,
-0.04827880859375,
0.0089263916015625,
0.005191802978515625,
-0.030670166015625,
0.0006690025329589844,
0.0252685546875,
0.07708740234375,
-0.040740966796875,
0.053314208984375,
-0.036834716796875,
0.0208892822265625,
0.027923583984375,
-0.035247802734375,
0.040130615234375,
0.004085540771484375,
-0.0223388671875,
0.016510009765625,
-0.006313323974609375,
-0.052337646484375,
-0.02459716796875,
0.04754638671875,
-0.09429931640625,
-0.004322052001953125,
-0.032135009765625,
-0.037200927734375,
-0.004467010498046875,
0.0083465576171875,
0.045684814453125,
0.051605224609375,
-0.0239715576171875,
0.01445770263671875,
0.0413818359375,
-0.006191253662109375,
0.03863525390625,
0.01374053955078125,
0.00290679931640625,
-0.0306549072265625,
0.06640625,
-0.00482177734375,
0.005603790283203125,
-0.00836181640625,
0.00868988037109375,
-0.03167724609375,
-0.039154052734375,
-0.04302978515625,
0.0212554931640625,
-0.05755615234375,
-0.00980377197265625,
-0.0188446044921875,
-0.044525146484375,
-0.023712158203125,
0.00908660888671875,
-0.0285797119140625,
-0.004299163818359375,
-0.039825439453125,
-0.00905609130859375,
0.0157928466796875,
0.043792724609375,
-0.00467681884765625,
0.055908203125,
-0.048187255859375,
0.0038433074951171875,
0.01142120361328125,
0.039886474609375,
0.01024627685546875,
-0.059295654296875,
-0.0399169921875,
0.00507354736328125,
-0.0232086181640625,
-0.032623291015625,
0.030029296875,
0.01493072509765625,
0.0565185546875,
0.034271240234375,
-0.0147705078125,
0.0640869140625,
-0.032012939453125,
0.0560302734375,
0.021697998046875,
-0.0413818359375,
0.0290679931640625,
-0.0186309814453125,
0.025665283203125,
0.0416259765625,
0.040985107421875,
0.008941650390625,
-0.0110626220703125,
-0.0946044921875,
-0.04986572265625,
0.061492919921875,
0.02618408203125,
0.0208282470703125,
0.005558013916015625,
0.037994384765625,
0.002964019775390625,
0.0166015625,
-0.057342529296875,
-0.0341796875,
-0.023895263671875,
-0.0118865966796875,
-0.01320648193359375,
-0.03277587890625,
-0.0136566162109375,
-0.055267333984375,
0.0838623046875,
0.005741119384765625,
0.040802001953125,
0.008087158203125,
0.00789642333984375,
-0.01904296875,
-0.00821685791015625,
0.04083251953125,
0.0548095703125,
-0.060760498046875,
-0.0288848876953125,
0.00390625,
-0.03375244140625,
-0.0146331787109375,
0.025146484375,
-0.0124359130859375,
0.0240631103515625,
0.0274810791015625,
0.08447265625,
0.003173828125,
-0.0158843994140625,
0.02825927734375,
-0.0114288330078125,
-0.0301666259765625,
-0.032257080078125,
0.01537322998046875,
-0.0106048583984375,
0.007717132568359375,
0.0095977783203125,
0.0279541015625,
-0.006458282470703125,
-0.005260467529296875,
0.01092529296875,
0.01308441162109375,
-0.0296173095703125,
-0.01910400390625,
0.055511474609375,
0.0187530517578125,
-0.020263671875,
0.0673828125,
-0.006557464599609375,
-0.015625,
0.0546875,
0.038482666015625,
0.06036376953125,
-0.005176544189453125,
-0.00010889768600463867,
0.0633544921875,
0.0098876953125,
-0.01016998291015625,
0.03143310546875,
0.0008873939514160156,
-0.04705810546875,
-0.0243377685546875,
-0.05108642578125,
-0.02984619140625,
0.040374755859375,
-0.0882568359375,
0.0266571044921875,
-0.048980712890625,
-0.0293121337890625,
0.0293121337890625,
-0.004558563232421875,
-0.07806396484375,
0.046783447265625,
0.01824951171875,
0.086181640625,
-0.06536865234375,
0.07635498046875,
0.05047607421875,
-0.038360595703125,
-0.0638427734375,
-0.0111083984375,
-0.0291748046875,
-0.07171630859375,
0.06085205078125,
-0.0041656494140625,
0.0296783447265625,
0.005786895751953125,
-0.0528564453125,
-0.046356201171875,
0.0546875,
0.0167236328125,
-0.05804443359375,
-0.005596160888671875,
0.006130218505859375,
0.058624267578125,
-0.01397705078125,
0.0455322265625,
0.0185699462890625,
0.0210418701171875,
0.01178741455078125,
-0.068115234375,
-0.025726318359375,
-0.02667236328125,
0.01513671875,
0.006954193115234375,
-0.038726806640625,
0.06787109375,
-0.0011272430419921875,
0.0369873046875,
0.0204925537109375,
0.0509033203125,
0.0035858154296875,
0.0009489059448242188,
0.02471923828125,
0.06585693359375,
0.045318603515625,
-0.007495880126953125,
0.0836181640625,
-0.044525146484375,
0.055755615234375,
0.0906982421875,
-0.00333404541015625,
0.0565185546875,
0.0206298828125,
-0.0158843994140625,
0.02093505859375,
0.05987548828125,
-0.04241943359375,
0.0404052734375,
0.0229949951171875,
0.0004210472106933594,
-0.036468505859375,
0.0186614990234375,
-0.048980712890625,
0.025390625,
0.0020465850830078125,
-0.055572509765625,
-0.0277252197265625,
-0.0130615234375,
-0.00933074951171875,
-0.01432037353515625,
-0.02923583984375,
0.03369140625,
-0.0374755859375,
-0.03179931640625,
0.057281494140625,
0.0036411285400390625,
0.0268096923828125,
-0.05609130859375,
-0.0014581680297851562,
0.00807952880859375,
0.035247802734375,
-0.01128387451171875,
-0.04693603515625,
0.0157470703125,
-0.0020351409912109375,
-0.0186004638671875,
-0.0019464492797851562,
0.046844482421875,
-0.0232086181640625,
-0.061981201171875,
0.01296234130859375,
0.0308074951171875,
0.0295562744140625,
0.007144927978515625,
-0.08837890625,
0.00165557861328125,
-0.006866455078125,
-0.0266571044921875,
0.0195770263671875,
0.006824493408203125,
0.0191192626953125,
0.034149169921875,
0.042236328125,
-0.000024080276489257812,
0.0025653839111328125,
0.0186004638671875,
0.0709228515625,
-0.04443359375,
-0.031585693359375,
-0.05584716796875,
0.027679443359375,
-0.0208740234375,
-0.0615234375,
0.040130615234375,
0.0689697265625,
0.0767822265625,
-0.02716064453125,
0.04815673828125,
-0.002017974853515625,
0.033416748046875,
-0.0266265869140625,
0.053802490234375,
-0.0286865234375,
-0.0150146484375,
-0.0178070068359375,
-0.0615234375,
0.0025234222412109375,
0.061004638671875,
-0.017242431640625,
0.010223388671875,
0.029754638671875,
0.042724609375,
0.000888824462890625,
0.01029205322265625,
0.0214080810546875,
-0.00603485107421875,
0.0164642333984375,
0.0302276611328125,
0.034088134765625,
-0.0587158203125,
0.03326416015625,
-0.048126220703125,
-0.00868988037109375,
-0.01102447509765625,
-0.048431396484375,
-0.07757568359375,
-0.0201873779296875,
-0.037200927734375,
-0.03863525390625,
0.018463134765625,
0.07440185546875,
0.057830810546875,
-0.04510498046875,
-0.031341552734375,
0.004528045654296875,
-0.0242767333984375,
-0.03131103515625,
-0.0128021240234375,
0.03936767578125,
-0.033050537109375,
-0.055816650390625,
-0.003932952880859375,
-0.0272369384765625,
0.0192108154296875,
-0.010223388671875,
-0.02362060546875,
-0.021636962890625,
-0.0265350341796875,
0.01666259765625,
0.0032291412353515625,
-0.03790283203125,
-0.0294036865234375,
-0.0181732177734375,
-0.0108489990234375,
0.017364501953125,
0.0165557861328125,
-0.046356201171875,
0.04193115234375,
0.01428985595703125,
0.0286712646484375,
0.05462646484375,
-0.0073089599609375,
0.022796630859375,
-0.05218505859375,
0.021942138671875,
0.013275146484375,
0.0280609130859375,
0.004779815673828125,
-0.021697998046875,
0.038726806640625,
0.031646728515625,
-0.038726806640625,
-0.048553466796875,
-0.0193939208984375,
-0.0787353515625,
0.00644683837890625,
0.07440185546875,
-0.009063720703125,
-0.04150390625,
0.03076171875,
-0.0163116455078125,
0.03326416015625,
-0.023284912109375,
0.04119873046875,
0.05792236328125,
-0.00885009765625,
0.01195526123046875,
-0.032745361328125,
0.032684326171875,
0.0288238525390625,
-0.046478271484375,
-0.01358795166015625,
0.0232086181640625,
0.0254669189453125,
0.004878997802734375,
0.019775390625,
0.000537872314453125,
0.03192138671875,
-0.00016498565673828125,
0.04327392578125,
-0.0267181396484375,
-0.0228424072265625,
-0.0214080810546875,
0.007732391357421875,
0.0098419189453125,
-0.04217529296875
]
] |
gokuls/HBERTv1_48_L10_H512_A8 | 2023-10-02T06:22:22.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L10_H512_A8 | 0 | 2 | transformers | 2023-09-29T23:01:30 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L10_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.5043557996025465
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L10_H512_A8
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8146
- Accuracy: 0.5044
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,589 | [
[
-0.0309600830078125,
-0.049591064453125,
0.00589752197265625,
0.01183319091796875,
-0.032958984375,
-0.032867431640625,
-0.0245513916015625,
-0.026611328125,
0.00666046142578125,
0.0144500732421875,
-0.049652099609375,
-0.03662109375,
-0.0430908203125,
-0.01708984375,
-0.0211944580078125,
0.099609375,
0.01052093505859375,
0.030426025390625,
-0.01030731201171875,
0.00823974609375,
-0.01371002197265625,
-0.05218505859375,
-0.0645751953125,
-0.05615234375,
0.03546142578125,
-0.00014913082122802734,
0.07220458984375,
0.06549072265625,
0.052001953125,
0.0158843994140625,
-0.032562255859375,
-0.01508331298828125,
-0.049713134765625,
-0.0249176025390625,
0.005001068115234375,
-0.0261688232421875,
-0.05499267578125,
-0.0033416748046875,
0.05889892578125,
0.02142333984375,
-0.025665283203125,
0.033172607421875,
0.0142059326171875,
0.033203125,
-0.033935546875,
0.026611328125,
-0.037841796875,
0.024505615234375,
-0.012908935546875,
-0.01422882080078125,
-0.0360107421875,
-0.0085601806640625,
0.01303863525390625,
-0.03900146484375,
0.04400634765625,
-0.00804901123046875,
0.1026611328125,
0.0270538330078125,
0.009307861328125,
0.00833892822265625,
-0.0645751953125,
0.040557861328125,
-0.054901123046875,
0.0201568603515625,
0.0298919677734375,
0.0465087890625,
-0.00018990039825439453,
-0.05804443359375,
-0.035614013671875,
-0.0101318359375,
0.00341033935546875,
0.0187225341796875,
-0.0044097900390625,
0.0059661865234375,
0.05084228515625,
0.0232086181640625,
-0.03302001953125,
0.01316070556640625,
-0.041717529296875,
-0.0146636962890625,
0.047393798828125,
0.0249786376953125,
-0.01230621337890625,
-0.01708984375,
-0.032318115234375,
-0.0282440185546875,
-0.0300750732421875,
0.01470184326171875,
0.051116943359375,
0.0197906494140625,
-0.0281524658203125,
0.0396728515625,
0.0009450912475585938,
0.061431884765625,
0.001522064208984375,
-0.004688262939453125,
0.0401611328125,
-0.004909515380859375,
-0.03448486328125,
-0.01235198974609375,
0.06219482421875,
0.030181884765625,
0.029022216796875,
0.00003510713577270508,
-0.0220184326171875,
-0.0261993408203125,
0.041412353515625,
-0.058074951171875,
-0.038604736328125,
-0.0005292892456054688,
-0.057373046875,
-0.04254150390625,
-0.00254058837890625,
-0.039581298828125,
0.008880615234375,
-0.03680419921875,
0.04180908203125,
-0.0460205078125,
-0.0088958740234375,
-0.0028324127197265625,
-0.0173492431640625,
0.027008056640625,
0.02056884765625,
-0.06292724609375,
0.020721435546875,
0.02520751953125,
0.0303802490234375,
0.017181396484375,
-0.032623291015625,
-0.00547027587890625,
0.00235748291015625,
-0.0241241455078125,
0.0333251953125,
-0.0222015380859375,
-0.0271148681640625,
0.00022268295288085938,
0.0057220458984375,
-0.0080718994140625,
-0.0294189453125,
0.07037353515625,
-0.0290679931640625,
0.0144195556640625,
-0.0205841064453125,
-0.05548095703125,
-0.00908660888671875,
0.01806640625,
-0.04949951171875,
0.08758544921875,
0.005237579345703125,
-0.049468994140625,
0.042877197265625,
-0.047271728515625,
-0.01216888427734375,
0.022247314453125,
-0.00629425048828125,
-0.0604248046875,
0.0028171539306640625,
0.00743865966796875,
0.03900146484375,
-0.00553131103515625,
0.02960205078125,
-0.03521728515625,
-0.044769287109375,
-0.00335693359375,
-0.038116455078125,
0.05615234375,
0.00800323486328125,
-0.021240234375,
0.0204620361328125,
-0.08050537109375,
0.0220794677734375,
0.0239715576171875,
-0.0426025390625,
0.0096893310546875,
-0.0006632804870605469,
0.038909912109375,
0.01297760009765625,
0.0267791748046875,
-0.0452880859375,
0.0088653564453125,
-0.02288818359375,
0.0109405517578125,
0.054412841796875,
-0.01348114013671875,
-0.0058746337890625,
-0.0284881591796875,
0.005096435546875,
-0.0025577545166015625,
0.043212890625,
0.021331787109375,
-0.0433349609375,
-0.0635986328125,
-0.0252838134765625,
0.028594970703125,
0.021484375,
-0.030364990234375,
0.07440185546875,
-0.0093231201171875,
-0.06787109375,
-0.03662109375,
0.00988006591796875,
0.03521728515625,
0.045379638671875,
0.039276123046875,
-0.006683349609375,
-0.0275726318359375,
-0.08441162109375,
0.0064544677734375,
-0.006683349609375,
0.00933837890625,
0.0174102783203125,
0.049072265625,
-0.0029239654541015625,
0.0601806640625,
-0.0292205810546875,
-0.00765228271484375,
-0.0183868408203125,
0.0033855438232421875,
0.030609130859375,
0.06488037109375,
0.055145263671875,
-0.034881591796875,
-0.01708984375,
-0.025115966796875,
-0.06646728515625,
0.034759521484375,
-0.007114410400390625,
-0.0270843505859375,
-0.0084991455078125,
0.015716552734375,
-0.032958984375,
0.055084228515625,
0.01328277587890625,
-0.006443023681640625,
0.0506591796875,
-0.05206298828125,
-0.0246734619140625,
-0.0667724609375,
0.018157958984375,
0.0177154541015625,
0.0032196044921875,
-0.02435302734375,
0.007801055908203125,
0.01549530029296875,
-0.017608642578125,
-0.034942626953125,
0.036407470703125,
0.0028476715087890625,
0.0040130615234375,
-0.01483154296875,
-0.031890869140625,
-0.0067596435546875,
0.05828857421875,
0.0198822021484375,
0.034454345703125,
0.050079345703125,
-0.0513916015625,
0.041351318359375,
0.042694091796875,
-0.0297088623046875,
0.0295562744140625,
-0.07855224609375,
0.0094451904296875,
-0.0104827880859375,
0.00846099853515625,
-0.0567626953125,
-0.021636962890625,
0.041351318359375,
-0.03558349609375,
0.023590087890625,
-0.0071563720703125,
-0.0472412109375,
-0.04522705078125,
-0.00794219970703125,
0.014007568359375,
0.05029296875,
-0.06201171875,
0.03253173828125,
-0.01125335693359375,
0.0231475830078125,
-0.0411376953125,
-0.051025390625,
-0.02130126953125,
0.003658294677734375,
-0.0294189453125,
0.0203704833984375,
-0.02020263671875,
0.0226287841796875,
0.00922393798828125,
0.012176513671875,
-0.02130126953125,
-0.00461578369140625,
0.01995849609375,
0.037841796875,
-0.003963470458984375,
0.017974853515625,
0.002246856689453125,
-0.002765655517578125,
0.0222625732421875,
0.012115478515625,
0.0374755859375,
-0.00516510009765625,
-0.020355224609375,
-0.05804443359375,
-0.0087127685546875,
0.0292816162109375,
-0.0110015869140625,
0.06646728515625,
0.0701904296875,
-0.04327392578125,
0.0028209686279296875,
-0.028594970703125,
-0.002017974853515625,
-0.0307159423828125,
0.036407470703125,
-0.037384033203125,
-0.00884246826171875,
0.04168701171875,
0.024261474609375,
0.01415252685546875,
0.0660400390625,
0.049591064453125,
-0.007030487060546875,
0.082275390625,
0.0269775390625,
-0.011199951171875,
0.0318603515625,
-0.049224853515625,
-0.0101318359375,
-0.0572509765625,
-0.033843994140625,
-0.0396728515625,
-0.025604248046875,
-0.04156494140625,
0.002765655517578125,
0.01428985595703125,
0.00797271728515625,
-0.039520263671875,
0.0243072509765625,
-0.0447998046875,
0.0309295654296875,
0.059417724609375,
0.04669189453125,
-0.0197906494140625,
0.01552581787109375,
-0.01273345947265625,
-0.004138946533203125,
-0.06689453125,
-0.03216552734375,
0.10272216796875,
0.044586181640625,
0.053619384765625,
-0.0115509033203125,
0.0555419921875,
0.00846099853515625,
0.01331329345703125,
-0.03668212890625,
0.03692626953125,
0.0006814002990722656,
-0.06964111328125,
-0.0278778076171875,
-0.017333984375,
-0.051910400390625,
0.008514404296875,
-0.041168212890625,
-0.038818359375,
0.00405120849609375,
0.021728515625,
-0.0292205810546875,
0.031036376953125,
-0.0419921875,
0.08319091796875,
-0.0226898193359375,
-0.03594970703125,
-0.0228729248046875,
-0.048248291015625,
0.0087432861328125,
0.006183624267578125,
-0.0305633544921875,
0.000014126300811767578,
0.02484130859375,
0.077392578125,
-0.040252685546875,
0.05255126953125,
-0.037506103515625,
0.0205078125,
0.0283203125,
-0.035064697265625,
0.0394287109375,
0.0037136077880859375,
-0.0225067138671875,
0.0166473388671875,
-0.007114410400390625,
-0.053192138671875,
-0.0243988037109375,
0.047821044921875,
-0.093994140625,
-0.004215240478515625,
-0.032073974609375,
-0.036529541015625,
-0.003753662109375,
0.0081939697265625,
0.046173095703125,
0.051116943359375,
-0.0242156982421875,
0.01392364501953125,
0.041900634765625,
-0.00644683837890625,
0.038818359375,
0.01335906982421875,
0.0031070709228515625,
-0.0312042236328125,
0.0665283203125,
-0.004764556884765625,
0.005092620849609375,
-0.008758544921875,
0.00885772705078125,
-0.031402587890625,
-0.038238525390625,
-0.044097900390625,
0.020782470703125,
-0.05804443359375,
-0.0089569091796875,
-0.0184478759765625,
-0.04449462890625,
-0.0235443115234375,
0.00952911376953125,
-0.0286865234375,
-0.00447845458984375,
-0.038604736328125,
-0.00867462158203125,
0.0158233642578125,
0.044189453125,
-0.004474639892578125,
0.05499267578125,
-0.04779052734375,
0.0039825439453125,
0.01157379150390625,
0.039398193359375,
0.0110015869140625,
-0.05828857421875,
-0.04052734375,
0.004756927490234375,
-0.02288818359375,
-0.033233642578125,
0.029998779296875,
0.015655517578125,
0.056640625,
0.0343017578125,
-0.01494598388671875,
0.06317138671875,
-0.032379150390625,
0.05572509765625,
0.0212249755859375,
-0.040985107421875,
0.0295257568359375,
-0.01788330078125,
0.025970458984375,
0.041717529296875,
0.0413818359375,
0.009307861328125,
-0.0110015869140625,
-0.0941162109375,
-0.05010986328125,
0.061309814453125,
0.0257110595703125,
0.02020263671875,
0.0060272216796875,
0.037689208984375,
0.002613067626953125,
0.0173187255859375,
-0.056915283203125,
-0.03558349609375,
-0.0239715576171875,
-0.011322021484375,
-0.012420654296875,
-0.032257080078125,
-0.0142059326171875,
-0.0556640625,
0.08416748046875,
0.00627899169921875,
0.0411376953125,
0.00872039794921875,
0.00760650634765625,
-0.0193939208984375,
-0.00823974609375,
0.04022216796875,
0.054718017578125,
-0.06103515625,
-0.0287322998046875,
0.0038394927978515625,
-0.033935546875,
-0.01390838623046875,
0.024566650390625,
-0.01180267333984375,
0.023834228515625,
0.0278472900390625,
0.0849609375,
0.001987457275390625,
-0.0157623291015625,
0.0288238525390625,
-0.01177215576171875,
-0.0306549072265625,
-0.032867431640625,
0.01557159423828125,
-0.01151275634765625,
0.007144927978515625,
0.0108184814453125,
0.0267333984375,
-0.005886077880859375,
-0.00585174560546875,
0.011199951171875,
0.01312255859375,
-0.0295562744140625,
-0.0187835693359375,
0.05474853515625,
0.0183868408203125,
-0.02020263671875,
0.06719970703125,
-0.0083770751953125,
-0.01593017578125,
0.055145263671875,
0.038360595703125,
0.06109619140625,
-0.00519561767578125,
-0.0006809234619140625,
0.063720703125,
0.010009765625,
-0.00965118408203125,
0.0309600830078125,
0.0005292892456054688,
-0.047576904296875,
-0.0245819091796875,
-0.050689697265625,
-0.031097412109375,
0.04046630859375,
-0.08831787109375,
0.025848388671875,
-0.048919677734375,
-0.02862548828125,
0.0292205810546875,
-0.00434112548828125,
-0.077392578125,
0.046722412109375,
0.018218994140625,
0.08612060546875,
-0.0657958984375,
0.07598876953125,
0.05120849609375,
-0.037750244140625,
-0.06317138671875,
-0.010162353515625,
-0.0292205810546875,
-0.0721435546875,
0.060333251953125,
-0.00453948974609375,
0.0296630859375,
0.0056610107421875,
-0.052947998046875,
-0.04669189453125,
0.054443359375,
0.0168609619140625,
-0.057159423828125,
-0.00635528564453125,
0.005100250244140625,
0.058441162109375,
-0.014556884765625,
0.04534912109375,
0.018890380859375,
0.021209716796875,
0.01169586181640625,
-0.068115234375,
-0.0248565673828125,
-0.0266265869140625,
0.014892578125,
0.007061004638671875,
-0.03900146484375,
0.06756591796875,
-0.001834869384765625,
0.0369873046875,
0.01983642578125,
0.0509033203125,
0.0037384033203125,
0.0009226799011230469,
0.02490234375,
0.06524658203125,
0.045501708984375,
-0.007293701171875,
0.082763671875,
-0.045196533203125,
0.055999755859375,
0.08978271484375,
-0.00264739990234375,
0.055816650390625,
0.0203094482421875,
-0.0162200927734375,
0.0209197998046875,
0.059600830078125,
-0.042694091796875,
0.040985107421875,
0.023529052734375,
0.00007712841033935547,
-0.03631591796875,
0.0189056396484375,
-0.048919677734375,
0.0255889892578125,
0.002597808837890625,
-0.05615234375,
-0.02801513671875,
-0.01212310791015625,
-0.00955963134765625,
-0.014801025390625,
-0.029144287109375,
0.03411865234375,
-0.037384033203125,
-0.031585693359375,
0.057159423828125,
0.0031490325927734375,
0.02734375,
-0.05523681640625,
-0.0021686553955078125,
0.00885009765625,
0.03521728515625,
-0.01195526123046875,
-0.04705810546875,
0.0152435302734375,
-0.002841949462890625,
-0.01812744140625,
-0.0021762847900390625,
0.047760009765625,
-0.02398681640625,
-0.061859130859375,
0.012969970703125,
0.031646728515625,
0.0300445556640625,
0.007595062255859375,
-0.08819580078125,
0.0008568763732910156,
-0.007175445556640625,
-0.02752685546875,
0.0198516845703125,
0.00693511962890625,
0.0193023681640625,
0.034332275390625,
0.041351318359375,
0.0003457069396972656,
0.0028209686279296875,
0.0182952880859375,
0.070556640625,
-0.0443115234375,
-0.031585693359375,
-0.0556640625,
0.0268096923828125,
-0.0205078125,
-0.061614990234375,
0.040191650390625,
0.06915283203125,
0.07672119140625,
-0.0269012451171875,
0.0484619140625,
-0.0019817352294921875,
0.033294677734375,
-0.0261688232421875,
0.054229736328125,
-0.02850341796875,
-0.01535797119140625,
-0.016876220703125,
-0.0615234375,
0.0029430389404296875,
0.061920166015625,
-0.017181396484375,
0.01067352294921875,
0.029937744140625,
0.042694091796875,
0.00177001953125,
0.00963592529296875,
0.0210418701171875,
-0.006137847900390625,
0.0163116455078125,
0.03009033203125,
0.033355712890625,
-0.0592041015625,
0.03265380859375,
-0.0487060546875,
-0.0085601806640625,
-0.0101776123046875,
-0.048797607421875,
-0.07745361328125,
-0.02008056640625,
-0.037017822265625,
-0.038970947265625,
0.0190582275390625,
0.0750732421875,
0.05767822265625,
-0.045013427734375,
-0.031768798828125,
0.00412750244140625,
-0.023773193359375,
-0.0307159423828125,
-0.01294708251953125,
0.039886474609375,
-0.033111572265625,
-0.055419921875,
-0.0037364959716796875,
-0.026885986328125,
0.0184478759765625,
-0.01104736328125,
-0.0239105224609375,
-0.02117919921875,
-0.0269317626953125,
0.016265869140625,
0.0032444000244140625,
-0.03753662109375,
-0.029327392578125,
-0.0179443359375,
-0.01080322265625,
0.0181732177734375,
0.0159759521484375,
-0.046844482421875,
0.0421142578125,
0.01428985595703125,
0.0280609130859375,
0.055084228515625,
-0.0074462890625,
0.02276611328125,
-0.05255126953125,
0.02227783203125,
0.013275146484375,
0.0278472900390625,
0.004482269287109375,
-0.021240234375,
0.038330078125,
0.03131103515625,
-0.038665771484375,
-0.048492431640625,
-0.0196533203125,
-0.07794189453125,
0.006664276123046875,
0.074462890625,
-0.00959014892578125,
-0.04193115234375,
0.0308685302734375,
-0.0164337158203125,
0.033447265625,
-0.0237274169921875,
0.041168212890625,
0.058624267578125,
-0.00939178466796875,
0.010772705078125,
-0.03228759765625,
0.03350830078125,
0.0284576416015625,
-0.046295166015625,
-0.01331329345703125,
0.02264404296875,
0.024810791015625,
0.005096435546875,
0.020233154296875,
0.0005693435668945312,
0.032928466796875,
-0.00010710954666137695,
0.043701171875,
-0.02667236328125,
-0.0231475830078125,
-0.0218505859375,
0.0078887939453125,
0.01045989990234375,
-0.042327880859375
]
] |
gokuls/HBERTv1_48_L10_H256_A4 | 2023-10-02T06:16:39.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L10_H256_A4 | 0 | 2 | transformers | 2023-09-29T23:03:20 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L10_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.31399484059864846
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L10_H256_A4
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4069
- Accuracy: 0.3140
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 80
- eval_batch_size: 80
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0311279296875,
-0.04962158203125,
0.0062103271484375,
0.011505126953125,
-0.032501220703125,
-0.03326416015625,
-0.0240325927734375,
-0.0273895263671875,
0.006183624267578125,
0.015045166015625,
-0.0494384765625,
-0.03656005859375,
-0.042449951171875,
-0.015716552734375,
-0.0211639404296875,
0.10125732421875,
0.009735107421875,
0.0300750732421875,
-0.0107879638671875,
0.007049560546875,
-0.014892578125,
-0.05303955078125,
-0.06390380859375,
-0.056243896484375,
0.0355224609375,
-0.00043773651123046875,
0.0712890625,
0.0645751953125,
0.05145263671875,
0.0159454345703125,
-0.032073974609375,
-0.01483154296875,
-0.05010986328125,
-0.0244293212890625,
0.00472259521484375,
-0.02569580078125,
-0.055419921875,
-0.0025157928466796875,
0.058441162109375,
0.021453857421875,
-0.025787353515625,
0.03350830078125,
0.01377105712890625,
0.032318115234375,
-0.033599853515625,
0.02667236328125,
-0.038604736328125,
0.02374267578125,
-0.0129852294921875,
-0.01458740234375,
-0.03497314453125,
-0.00876617431640625,
0.012847900390625,
-0.03875732421875,
0.04412841796875,
-0.00836181640625,
0.1025390625,
0.0269622802734375,
0.00913238525390625,
0.00868988037109375,
-0.0648193359375,
0.04095458984375,
-0.05523681640625,
0.0209808349609375,
0.029510498046875,
0.0460205078125,
-0.00005614757537841797,
-0.05902099609375,
-0.035369873046875,
-0.009735107421875,
0.004180908203125,
0.0189361572265625,
-0.003963470458984375,
0.005779266357421875,
0.051361083984375,
0.02410888671875,
-0.03228759765625,
0.013519287109375,
-0.04168701171875,
-0.0149688720703125,
0.04766845703125,
0.0253143310546875,
-0.0122222900390625,
-0.016876220703125,
-0.03192138671875,
-0.0274200439453125,
-0.030609130859375,
0.0153045654296875,
0.0517578125,
0.020751953125,
-0.0274200439453125,
0.039581298828125,
0.00004684925079345703,
0.0626220703125,
0.0018215179443359375,
-0.003971099853515625,
0.041015625,
-0.00640106201171875,
-0.03448486328125,
-0.01374053955078125,
0.062469482421875,
0.03076171875,
0.0280303955078125,
-0.00013697147369384766,
-0.023773193359375,
-0.0251922607421875,
0.04217529296875,
-0.05889892578125,
-0.037933349609375,
-0.00022220611572265625,
-0.056396484375,
-0.04229736328125,
-0.004138946533203125,
-0.039306640625,
0.0093231201171875,
-0.037567138671875,
0.04144287109375,
-0.04632568359375,
-0.00800323486328125,
-0.0023975372314453125,
-0.016510009765625,
0.0259552001953125,
0.0198974609375,
-0.06365966796875,
0.021484375,
0.025115966796875,
0.0302734375,
0.016510009765625,
-0.03228759765625,
-0.006099700927734375,
0.001789093017578125,
-0.023773193359375,
0.03350830078125,
-0.022125244140625,
-0.0267791748046875,
0.00041747093200683594,
0.004909515380859375,
-0.00804901123046875,
-0.0290679931640625,
0.0714111328125,
-0.029510498046875,
0.014801025390625,
-0.020721435546875,
-0.055877685546875,
-0.0089111328125,
0.01861572265625,
-0.049468994140625,
0.08758544921875,
0.005420684814453125,
-0.049407958984375,
0.042938232421875,
-0.0474853515625,
-0.01171112060546875,
0.0225067138671875,
-0.00609588623046875,
-0.060760498046875,
0.0022983551025390625,
0.008087158203125,
0.03955078125,
-0.005733489990234375,
0.029693603515625,
-0.03521728515625,
-0.0447998046875,
-0.0032978057861328125,
-0.037750244140625,
0.054840087890625,
0.00833892822265625,
-0.0210418701171875,
0.0213470458984375,
-0.08074951171875,
0.0219573974609375,
0.0228729248046875,
-0.042572021484375,
0.00968170166015625,
-0.00135040283203125,
0.038360595703125,
0.0131378173828125,
0.0269775390625,
-0.045135498046875,
0.0089874267578125,
-0.02362060546875,
0.01201629638671875,
0.053955078125,
-0.0124053955078125,
-0.00550079345703125,
-0.028350830078125,
0.005451202392578125,
-0.00290679931640625,
0.0438232421875,
0.02166748046875,
-0.043121337890625,
-0.06292724609375,
-0.024993896484375,
0.029022216796875,
0.0200958251953125,
-0.0302734375,
0.07257080078125,
-0.00969696044921875,
-0.06756591796875,
-0.0367431640625,
0.0102996826171875,
0.03509521484375,
0.04583740234375,
0.039825439453125,
-0.006214141845703125,
-0.02825927734375,
-0.08465576171875,
0.005733489990234375,
-0.005260467529296875,
0.0096893310546875,
0.01678466796875,
0.04931640625,
-0.00452423095703125,
0.05999755859375,
-0.02838134765625,
-0.007511138916015625,
-0.018280029296875,
0.00399017333984375,
0.031646728515625,
0.0648193359375,
0.055328369140625,
-0.0350341796875,
-0.016754150390625,
-0.025238037109375,
-0.0655517578125,
0.03369140625,
-0.007354736328125,
-0.026885986328125,
-0.007843017578125,
0.015655517578125,
-0.032867431640625,
0.05474853515625,
0.01427459716796875,
-0.006198883056640625,
0.05078125,
-0.051055908203125,
-0.024932861328125,
-0.06671142578125,
0.018096923828125,
0.017730712890625,
0.0023975372314453125,
-0.02423095703125,
0.007965087890625,
0.01548004150390625,
-0.017608642578125,
-0.033599853515625,
0.03631591796875,
0.0027141571044921875,
0.003509521484375,
-0.01406097412109375,
-0.03192138671875,
-0.007038116455078125,
0.05902099609375,
0.0197601318359375,
0.03436279296875,
0.04962158203125,
-0.0516357421875,
0.040740966796875,
0.042633056640625,
-0.0290679931640625,
0.0297088623046875,
-0.07830810546875,
0.00909423828125,
-0.009124755859375,
0.008544921875,
-0.05615234375,
-0.0218505859375,
0.0408935546875,
-0.0352783203125,
0.0233001708984375,
-0.007511138916015625,
-0.047393798828125,
-0.04534912109375,
-0.0078277587890625,
0.0145721435546875,
0.04974365234375,
-0.061859130859375,
0.033050537109375,
-0.0108184814453125,
0.0231475830078125,
-0.0408935546875,
-0.049896240234375,
-0.0218353271484375,
0.00313568115234375,
-0.0293121337890625,
0.0208587646484375,
-0.0211639404296875,
0.0233612060546875,
0.00833892822265625,
0.011871337890625,
-0.0211029052734375,
-0.00466156005859375,
0.0200347900390625,
0.037750244140625,
-0.002941131591796875,
0.0166015625,
0.001102447509765625,
-0.002532958984375,
0.022308349609375,
0.0112152099609375,
0.037139892578125,
-0.005779266357421875,
-0.0205841064453125,
-0.05792236328125,
-0.009613037109375,
0.02935791015625,
-0.011199951171875,
0.06591796875,
0.069580078125,
-0.043212890625,
0.002696990966796875,
-0.0286865234375,
-0.0023708343505859375,
-0.0307159423828125,
0.0357666015625,
-0.03753662109375,
-0.00946807861328125,
0.042205810546875,
0.0246734619140625,
0.015716552734375,
0.06597900390625,
0.049468994140625,
-0.006458282470703125,
0.083251953125,
0.0272216796875,
-0.01012420654296875,
0.032012939453125,
-0.048980712890625,
-0.0096282958984375,
-0.057464599609375,
-0.033538818359375,
-0.039276123046875,
-0.0255584716796875,
-0.041900634765625,
0.002933502197265625,
0.01381683349609375,
0.00763702392578125,
-0.0396728515625,
0.0236358642578125,
-0.04449462890625,
0.02960205078125,
0.059112548828125,
0.04559326171875,
-0.0198516845703125,
0.01485443115234375,
-0.01361083984375,
-0.0038394927978515625,
-0.0673828125,
-0.032470703125,
0.10308837890625,
0.04400634765625,
0.0531005859375,
-0.01189422607421875,
0.0556640625,
0.00736236572265625,
0.0145111083984375,
-0.03594970703125,
0.03668212890625,
0.0019369125366210938,
-0.0693359375,
-0.0271759033203125,
-0.0181732177734375,
-0.052581787109375,
0.00870513916015625,
-0.041168212890625,
-0.0390625,
0.003749847412109375,
0.021575927734375,
-0.0302734375,
0.030548095703125,
-0.042144775390625,
0.0833740234375,
-0.022857666015625,
-0.0361328125,
-0.022308349609375,
-0.04766845703125,
0.00925445556640625,
0.004161834716796875,
-0.02960205078125,
0.0005936622619628906,
0.025177001953125,
0.07763671875,
-0.040924072265625,
0.053070068359375,
-0.03631591796875,
0.0205841064453125,
0.027740478515625,
-0.0355224609375,
0.038818359375,
0.00417327880859375,
-0.023040771484375,
0.01727294921875,
-0.0060272216796875,
-0.05279541015625,
-0.02423095703125,
0.048248291015625,
-0.0943603515625,
-0.003753662109375,
-0.03277587890625,
-0.037384033203125,
-0.0050048828125,
0.00884246826171875,
0.04583740234375,
0.052032470703125,
-0.023956298828125,
0.01371002197265625,
0.04119873046875,
-0.006610870361328125,
0.0384521484375,
0.0140380859375,
0.0023441314697265625,
-0.031524658203125,
0.06610107421875,
-0.004673004150390625,
0.004947662353515625,
-0.00933837890625,
0.008392333984375,
-0.03253173828125,
-0.0396728515625,
-0.0430908203125,
0.0211639404296875,
-0.05755615234375,
-0.00988006591796875,
-0.0190277099609375,
-0.044952392578125,
-0.02398681640625,
0.0092010498046875,
-0.0286865234375,
-0.0038738250732421875,
-0.039031982421875,
-0.00966644287109375,
0.016448974609375,
0.04461669921875,
-0.005023956298828125,
0.055328369140625,
-0.047943115234375,
0.0046844482421875,
0.0112152099609375,
0.040313720703125,
0.01009368896484375,
-0.059112548828125,
-0.040435791015625,
0.00556182861328125,
-0.0234527587890625,
-0.032867431640625,
0.030364990234375,
0.01515960693359375,
0.056610107421875,
0.0340576171875,
-0.01446533203125,
0.0638427734375,
-0.03271484375,
0.055694580078125,
0.02166748046875,
-0.0411376953125,
0.0289306640625,
-0.0190887451171875,
0.025543212890625,
0.04150390625,
0.04132080078125,
0.00942230224609375,
-0.01157379150390625,
-0.09515380859375,
-0.05078125,
0.061431884765625,
0.026153564453125,
0.0206146240234375,
0.005672454833984375,
0.038330078125,
0.0026302337646484375,
0.017059326171875,
-0.05767822265625,
-0.033843994140625,
-0.0241241455078125,
-0.01142120361328125,
-0.01275634765625,
-0.03240966796875,
-0.01412200927734375,
-0.0550537109375,
0.083984375,
0.00611114501953125,
0.040008544921875,
0.00786590576171875,
0.007904052734375,
-0.0192718505859375,
-0.00861358642578125,
0.039398193359375,
0.05572509765625,
-0.060943603515625,
-0.0290374755859375,
0.00418853759765625,
-0.033447265625,
-0.01520538330078125,
0.0248565673828125,
-0.011627197265625,
0.0232086181640625,
0.0272979736328125,
0.085205078125,
0.00384521484375,
-0.01535797119140625,
0.0282135009765625,
-0.01294708251953125,
-0.030548095703125,
-0.033111572265625,
0.0153350830078125,
-0.01163482666015625,
0.0067596435546875,
0.00968170166015625,
0.0275421142578125,
-0.005710601806640625,
-0.00572967529296875,
0.0113983154296875,
0.01300048828125,
-0.0285491943359375,
-0.0197601318359375,
0.055450439453125,
0.0191192626953125,
-0.0192718505859375,
0.06671142578125,
-0.007320404052734375,
-0.016510009765625,
0.053741455078125,
0.0380859375,
0.05987548828125,
-0.00550079345703125,
-0.001461029052734375,
0.06439208984375,
0.0094451904296875,
-0.00989532470703125,
0.0312042236328125,
0.0014085769653320312,
-0.047821044921875,
-0.0248565673828125,
-0.052093505859375,
-0.0304718017578125,
0.04168701171875,
-0.08837890625,
0.0266876220703125,
-0.04913330078125,
-0.029022216796875,
0.0296478271484375,
-0.003749847412109375,
-0.07843017578125,
0.04681396484375,
0.0181732177734375,
0.085693359375,
-0.06549072265625,
0.07513427734375,
0.05145263671875,
-0.038665771484375,
-0.06402587890625,
-0.010986328125,
-0.0295562744140625,
-0.071533203125,
0.060333251953125,
-0.004337310791015625,
0.029327392578125,
0.00623321533203125,
-0.052947998046875,
-0.04754638671875,
0.054107666015625,
0.0164794921875,
-0.056884765625,
-0.005420684814453125,
0.00539398193359375,
0.059295654296875,
-0.01465606689453125,
0.04547119140625,
0.0186920166015625,
0.020843505859375,
0.012115478515625,
-0.06744384765625,
-0.024810791015625,
-0.0269012451171875,
0.014556884765625,
0.006603240966796875,
-0.038177490234375,
0.0675048828125,
-0.0006690025329589844,
0.0372314453125,
0.020233154296875,
0.050933837890625,
0.004241943359375,
0.0006275177001953125,
0.025146484375,
0.06573486328125,
0.046051025390625,
-0.00722503662109375,
0.08441162109375,
-0.04534912109375,
0.055267333984375,
0.090576171875,
-0.00319671630859375,
0.056121826171875,
0.020263671875,
-0.0152435302734375,
0.0211029052734375,
0.06109619140625,
-0.04229736328125,
0.040771484375,
0.0229339599609375,
0.0005693435668945312,
-0.03668212890625,
0.01953125,
-0.048431396484375,
0.0255584716796875,
0.00301361083984375,
-0.054962158203125,
-0.027862548828125,
-0.0126953125,
-0.01007080078125,
-0.01491546630859375,
-0.0294189453125,
0.03387451171875,
-0.037353515625,
-0.03265380859375,
0.05816650390625,
0.0032405853271484375,
0.0273590087890625,
-0.055633544921875,
-0.0016222000122070312,
0.00838470458984375,
0.034942626953125,
-0.01227569580078125,
-0.04669189453125,
0.01543426513671875,
-0.001720428466796875,
-0.018096923828125,
-0.00331878662109375,
0.04693603515625,
-0.0233612060546875,
-0.061248779296875,
0.01303863525390625,
0.031036376953125,
0.0295867919921875,
0.0078582763671875,
-0.0880126953125,
0.0009698867797851562,
-0.00690460205078125,
-0.02703857421875,
0.019744873046875,
0.007328033447265625,
0.0179290771484375,
0.0340576171875,
0.043212890625,
0.0001322031021118164,
0.0030975341796875,
0.019256591796875,
0.0712890625,
-0.043548583984375,
-0.03228759765625,
-0.0556640625,
0.0267791748046875,
-0.020599365234375,
-0.061614990234375,
0.040283203125,
0.06890869140625,
0.07733154296875,
-0.0261993408203125,
0.04852294921875,
-0.001346588134765625,
0.033782958984375,
-0.0264739990234375,
0.053558349609375,
-0.028961181640625,
-0.01410675048828125,
-0.017547607421875,
-0.061859130859375,
0.00279998779296875,
0.061431884765625,
-0.0179290771484375,
0.010833740234375,
0.0301361083984375,
0.04217529296875,
0.0005083084106445312,
0.0107421875,
0.0210418701171875,
-0.005275726318359375,
0.016387939453125,
0.0295867919921875,
0.0343017578125,
-0.0582275390625,
0.032958984375,
-0.04840087890625,
-0.00855255126953125,
-0.0103302001953125,
-0.04913330078125,
-0.07733154296875,
-0.020263671875,
-0.0374755859375,
-0.03875732421875,
0.018035888671875,
0.0736083984375,
0.05816650390625,
-0.045745849609375,
-0.03131103515625,
0.0037384033203125,
-0.0240936279296875,
-0.0302734375,
-0.01277923583984375,
0.03900146484375,
-0.033599853515625,
-0.055938720703125,
-0.003742218017578125,
-0.0275421142578125,
0.0179290771484375,
-0.0103759765625,
-0.0236358642578125,
-0.0216827392578125,
-0.026397705078125,
0.0163421630859375,
0.0032978057861328125,
-0.037200927734375,
-0.0293121337890625,
-0.0182037353515625,
-0.010711669921875,
0.017486572265625,
0.0158538818359375,
-0.04705810546875,
0.04168701171875,
0.01396942138671875,
0.028778076171875,
0.055084228515625,
-0.00760650634765625,
0.0243072509765625,
-0.05352783203125,
0.02154541015625,
0.01390838623046875,
0.02911376953125,
0.0055389404296875,
-0.021881103515625,
0.038909912109375,
0.0312042236328125,
-0.03924560546875,
-0.04840087890625,
-0.0197296142578125,
-0.0780029296875,
0.006862640380859375,
0.0751953125,
-0.009490966796875,
-0.04156494140625,
0.0306549072265625,
-0.01535797119140625,
0.033538818359375,
-0.0231475830078125,
0.04107666015625,
0.058135986328125,
-0.00988006591796875,
0.011810302734375,
-0.033447265625,
0.03369140625,
0.028839111328125,
-0.046417236328125,
-0.0136260986328125,
0.0241546630859375,
0.0260162353515625,
0.004749298095703125,
0.0204620361328125,
0.0002665519714355469,
0.032135009765625,
-0.0015516281127929688,
0.043426513671875,
-0.02667236328125,
-0.0220184326171875,
-0.0217132568359375,
0.007617950439453125,
0.009490966796875,
-0.042083740234375
]
] |
gokuls/HBERTv1_48_L10_H128_A2 | 2023-10-02T06:14:25.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L10_H128_A2 | 0 | 2 | transformers | 2023-09-29T23:03:52 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L10_H128_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.15909518159736963
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L10_H128_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7732
- Accuracy: 0.1591
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0308990478515625,
-0.049285888671875,
0.00614166259765625,
0.01195526123046875,
-0.03277587890625,
-0.033599853515625,
-0.0243377685546875,
-0.026763916015625,
0.007526397705078125,
0.0148773193359375,
-0.049407958984375,
-0.03668212890625,
-0.042877197265625,
-0.0164337158203125,
-0.0211639404296875,
0.100341796875,
0.01029205322265625,
0.0305328369140625,
-0.0101318359375,
0.0080718994140625,
-0.0145263671875,
-0.052337646484375,
-0.0633544921875,
-0.056640625,
0.035888671875,
-0.0004680156707763672,
0.07208251953125,
0.06463623046875,
0.052276611328125,
0.015899658203125,
-0.032440185546875,
-0.0155029296875,
-0.050872802734375,
-0.02508544921875,
0.004863739013671875,
-0.02545166015625,
-0.055023193359375,
-0.0029659271240234375,
0.0584716796875,
0.02227783203125,
-0.025909423828125,
0.033477783203125,
0.01445770263671875,
0.033111572265625,
-0.032928466796875,
0.026763916015625,
-0.0382080078125,
0.0227508544921875,
-0.01229095458984375,
-0.01378631591796875,
-0.035247802734375,
-0.00801849365234375,
0.0131683349609375,
-0.03851318359375,
0.04376220703125,
-0.00843048095703125,
0.1024169921875,
0.0267791748046875,
0.00936126708984375,
0.00952911376953125,
-0.06494140625,
0.04058837890625,
-0.054931640625,
0.0205230712890625,
0.0298614501953125,
0.046875,
-0.0004220008850097656,
-0.058929443359375,
-0.03515625,
-0.00991058349609375,
0.003421783447265625,
0.0189666748046875,
-0.004425048828125,
0.00519561767578125,
0.05029296875,
0.0237274169921875,
-0.033294677734375,
0.01238250732421875,
-0.0418701171875,
-0.01418304443359375,
0.047698974609375,
0.025146484375,
-0.01248931884765625,
-0.017425537109375,
-0.03228759765625,
-0.027557373046875,
-0.029296875,
0.01548004150390625,
0.05108642578125,
0.021331787109375,
-0.0279998779296875,
0.0404052734375,
-0.0007462501525878906,
0.061920166015625,
0.001239776611328125,
-0.004734039306640625,
0.0400390625,
-0.005283355712890625,
-0.035491943359375,
-0.01335906982421875,
0.06182861328125,
0.0311126708984375,
0.028900146484375,
-0.00005346536636352539,
-0.0235443115234375,
-0.025299072265625,
0.040863037109375,
-0.05828857421875,
-0.038330078125,
-0.0011835098266601562,
-0.056915283203125,
-0.0421142578125,
-0.0027179718017578125,
-0.0394287109375,
0.0095367431640625,
-0.037261962890625,
0.042022705078125,
-0.046112060546875,
-0.00826263427734375,
-0.0016565322875976562,
-0.0161895751953125,
0.026519775390625,
0.019866943359375,
-0.062469482421875,
0.021484375,
0.025421142578125,
0.030487060546875,
0.0173492431640625,
-0.032318115234375,
-0.005496978759765625,
0.0020923614501953125,
-0.0236358642578125,
0.033294677734375,
-0.0226898193359375,
-0.0278167724609375,
-0.0003046989440917969,
0.006092071533203125,
-0.00811004638671875,
-0.028778076171875,
0.07147216796875,
-0.028961181640625,
0.01488494873046875,
-0.020599365234375,
-0.05572509765625,
-0.00901031494140625,
0.0184478759765625,
-0.049591064453125,
0.087646484375,
0.005573272705078125,
-0.048919677734375,
0.04290771484375,
-0.046539306640625,
-0.01195526123046875,
0.0221099853515625,
-0.006439208984375,
-0.060272216796875,
0.002567291259765625,
0.007534027099609375,
0.039093017578125,
-0.00617218017578125,
0.0302886962890625,
-0.035186767578125,
-0.044708251953125,
-0.003467559814453125,
-0.03839111328125,
0.05548095703125,
0.008575439453125,
-0.0202178955078125,
0.0206451416015625,
-0.0814208984375,
0.0220794677734375,
0.0243377685546875,
-0.04296875,
0.00936126708984375,
-0.0013027191162109375,
0.0394287109375,
0.0128936767578125,
0.0263671875,
-0.044830322265625,
0.00910186767578125,
-0.0228729248046875,
0.01071929931640625,
0.053680419921875,
-0.0129241943359375,
-0.006191253662109375,
-0.0293731689453125,
0.0053863525390625,
-0.002811431884765625,
0.043182373046875,
0.0215301513671875,
-0.043670654296875,
-0.062225341796875,
-0.02593994140625,
0.028961181640625,
0.020111083984375,
-0.0301513671875,
0.07342529296875,
-0.01015472412109375,
-0.06829833984375,
-0.036163330078125,
0.009918212890625,
0.034942626953125,
0.046051025390625,
0.03924560546875,
-0.00553131103515625,
-0.0275115966796875,
-0.08447265625,
0.005767822265625,
-0.00568389892578125,
0.00946807861328125,
0.0167999267578125,
0.0494384765625,
-0.0037517547607421875,
0.060028076171875,
-0.0296173095703125,
-0.00677490234375,
-0.018585205078125,
0.003917694091796875,
0.03179931640625,
0.06512451171875,
0.05523681640625,
-0.03515625,
-0.0178985595703125,
-0.0250244140625,
-0.06512451171875,
0.034210205078125,
-0.00740814208984375,
-0.0266571044921875,
-0.00878143310546875,
0.01552581787109375,
-0.033203125,
0.054962158203125,
0.01409912109375,
-0.00676727294921875,
0.050079345703125,
-0.05084228515625,
-0.02490234375,
-0.06768798828125,
0.0185546875,
0.0184326171875,
0.0027408599853515625,
-0.0243072509765625,
0.007678985595703125,
0.01555633544921875,
-0.0178375244140625,
-0.03448486328125,
0.03656005859375,
0.0029754638671875,
0.00455474853515625,
-0.0145263671875,
-0.031707763671875,
-0.006771087646484375,
0.059051513671875,
0.020172119140625,
0.033966064453125,
0.04913330078125,
-0.051116943359375,
0.04022216796875,
0.042236328125,
-0.0302886962890625,
0.0296173095703125,
-0.0792236328125,
0.00853729248046875,
-0.00940704345703125,
0.00807952880859375,
-0.056671142578125,
-0.0224761962890625,
0.041015625,
-0.03546142578125,
0.02313232421875,
-0.00732421875,
-0.04669189453125,
-0.04498291015625,
-0.007808685302734375,
0.0141143798828125,
0.050262451171875,
-0.060791015625,
0.032501220703125,
-0.01175689697265625,
0.02325439453125,
-0.04071044921875,
-0.050048828125,
-0.02239990234375,
0.0034351348876953125,
-0.0297698974609375,
0.020294189453125,
-0.0204010009765625,
0.0227508544921875,
0.0084686279296875,
0.01183319091796875,
-0.0212554931640625,
-0.00489044189453125,
0.0203094482421875,
0.037994384765625,
-0.004047393798828125,
0.016387939453125,
0.0014486312866210938,
-0.0030517578125,
0.02203369140625,
0.01227569580078125,
0.03753662109375,
-0.0053863525390625,
-0.0208892822265625,
-0.05810546875,
-0.009429931640625,
0.0299530029296875,
-0.0102691650390625,
0.0667724609375,
0.0689697265625,
-0.043548583984375,
0.003269195556640625,
-0.0281982421875,
-0.002323150634765625,
-0.030670166015625,
0.036041259765625,
-0.03765869140625,
-0.00817108154296875,
0.041778564453125,
0.0238037109375,
0.013824462890625,
0.0660400390625,
0.048828125,
-0.006561279296875,
0.08258056640625,
0.02764892578125,
-0.0108184814453125,
0.03143310546875,
-0.048980712890625,
-0.0098419189453125,
-0.056854248046875,
-0.033660888671875,
-0.040283203125,
-0.0261077880859375,
-0.042144775390625,
0.0024261474609375,
0.01433563232421875,
0.00836944580078125,
-0.040069580078125,
0.0242767333984375,
-0.043975830078125,
0.0306243896484375,
0.059906005859375,
0.046539306640625,
-0.0193634033203125,
0.0150909423828125,
-0.0135498046875,
-0.004238128662109375,
-0.06695556640625,
-0.03253173828125,
0.1025390625,
0.044219970703125,
0.05419921875,
-0.01183319091796875,
0.055023193359375,
0.007144927978515625,
0.01357269287109375,
-0.036285400390625,
0.0364990234375,
0.0019683837890625,
-0.07000732421875,
-0.0279693603515625,
-0.01702880859375,
-0.0516357421875,
0.0084381103515625,
-0.04150390625,
-0.038726806640625,
0.0034942626953125,
0.0206298828125,
-0.0303802490234375,
0.0307769775390625,
-0.04193115234375,
0.083251953125,
-0.02288818359375,
-0.035675048828125,
-0.0218505859375,
-0.04815673828125,
0.00862884521484375,
0.005279541015625,
-0.0303955078125,
0.00022542476654052734,
0.0257568359375,
0.0770263671875,
-0.040069580078125,
0.053009033203125,
-0.036773681640625,
0.0214080810546875,
0.02813720703125,
-0.034698486328125,
0.04010009765625,
0.0036182403564453125,
-0.0225677490234375,
0.0163726806640625,
-0.006069183349609375,
-0.05352783203125,
-0.024078369140625,
0.047760009765625,
-0.09429931640625,
-0.004024505615234375,
-0.032684326171875,
-0.037445068359375,
-0.00445556640625,
0.00909423828125,
0.04547119140625,
0.051513671875,
-0.02484130859375,
0.01506805419921875,
0.04107666015625,
-0.006046295166015625,
0.0382080078125,
0.01393890380859375,
0.001438140869140625,
-0.0311126708984375,
0.0662841796875,
-0.00482177734375,
0.005382537841796875,
-0.00850677490234375,
0.0092620849609375,
-0.031646728515625,
-0.0386962890625,
-0.043060302734375,
0.02117919921875,
-0.057159423828125,
-0.009033203125,
-0.0189361572265625,
-0.044921875,
-0.02398681640625,
0.00901031494140625,
-0.02874755859375,
-0.003841400146484375,
-0.039093017578125,
-0.00919342041015625,
0.0156707763671875,
0.044464111328125,
-0.004253387451171875,
0.0552978515625,
-0.047698974609375,
0.003871917724609375,
0.0116729736328125,
0.0396728515625,
0.00971221923828125,
-0.05950927734375,
-0.04022216796875,
0.005641937255859375,
-0.0232391357421875,
-0.0325927734375,
0.030517578125,
0.01473236083984375,
0.056488037109375,
0.03472900390625,
-0.01398468017578125,
0.06353759765625,
-0.031951904296875,
0.055908203125,
0.0219879150390625,
-0.04034423828125,
0.02899169921875,
-0.019439697265625,
0.0253753662109375,
0.041259765625,
0.041778564453125,
0.0088653564453125,
-0.0106964111328125,
-0.09490966796875,
-0.050048828125,
0.060943603515625,
0.02593994140625,
0.020538330078125,
0.005767822265625,
0.037628173828125,
0.0030231475830078125,
0.0167999267578125,
-0.0574951171875,
-0.0347900390625,
-0.02410888671875,
-0.01181793212890625,
-0.01342010498046875,
-0.03265380859375,
-0.0145416259765625,
-0.055511474609375,
0.083984375,
0.005702972412109375,
0.040313720703125,
0.0085601806640625,
0.00800323486328125,
-0.0193023681640625,
-0.00878143310546875,
0.040863037109375,
0.05487060546875,
-0.06146240234375,
-0.02923583984375,
0.003467559814453125,
-0.033416748046875,
-0.0150909423828125,
0.0245208740234375,
-0.01175689697265625,
0.02337646484375,
0.027679443359375,
0.08428955078125,
0.003612518310546875,
-0.0154876708984375,
0.0284271240234375,
-0.01186370849609375,
-0.0304718017578125,
-0.032440185546875,
0.01519775390625,
-0.010833740234375,
0.007640838623046875,
0.01007843017578125,
0.0275726318359375,
-0.006412506103515625,
-0.005401611328125,
0.01097869873046875,
0.01336669921875,
-0.0293731689453125,
-0.01995849609375,
0.0552978515625,
0.0188751220703125,
-0.0205078125,
0.06683349609375,
-0.00705718994140625,
-0.01543426513671875,
0.05462646484375,
0.038482666015625,
0.060760498046875,
-0.004528045654296875,
-0.0004076957702636719,
0.06365966796875,
0.010162353515625,
-0.0102386474609375,
0.031524658203125,
0.0015077590942382812,
-0.047698974609375,
-0.0240478515625,
-0.05120849609375,
-0.030181884765625,
0.0416259765625,
-0.08868408203125,
0.026763916015625,
-0.048370361328125,
-0.028839111328125,
0.028778076171875,
-0.004032135009765625,
-0.0784912109375,
0.046783447265625,
0.0180206298828125,
0.0869140625,
-0.06585693359375,
0.07635498046875,
0.051239013671875,
-0.03839111328125,
-0.06402587890625,
-0.0101318359375,
-0.029327392578125,
-0.07281494140625,
0.05999755859375,
-0.004364013671875,
0.029296875,
0.006206512451171875,
-0.053009033203125,
-0.047607421875,
0.055023193359375,
0.0168914794921875,
-0.0574951171875,
-0.00559234619140625,
0.00598907470703125,
0.058837890625,
-0.01445770263671875,
0.045257568359375,
0.0184478759765625,
0.0208892822265625,
0.01209259033203125,
-0.0675048828125,
-0.0258636474609375,
-0.0264129638671875,
0.01464080810546875,
0.006526947021484375,
-0.039306640625,
0.067626953125,
-0.0005726814270019531,
0.037200927734375,
0.0203399658203125,
0.050811767578125,
0.0038166046142578125,
0.0018186569213867188,
0.0243682861328125,
0.06573486328125,
0.045684814453125,
-0.007740020751953125,
0.0838623046875,
-0.045562744140625,
0.056243896484375,
0.090576171875,
-0.0033092498779296875,
0.05572509765625,
0.0208892822265625,
-0.015716552734375,
0.0203399658203125,
0.060394287109375,
-0.041748046875,
0.0418701171875,
0.0225982666015625,
0.00112152099609375,
-0.03631591796875,
0.019012451171875,
-0.048797607421875,
0.0252838134765625,
0.0017795562744140625,
-0.055389404296875,
-0.027862548828125,
-0.01323699951171875,
-0.01007843017578125,
-0.01416015625,
-0.0293731689453125,
0.033477783203125,
-0.0372314453125,
-0.03167724609375,
0.05755615234375,
0.0027599334716796875,
0.02679443359375,
-0.05560302734375,
-0.0011491775512695312,
0.00823211669921875,
0.035003662109375,
-0.01126861572265625,
-0.047119140625,
0.0151214599609375,
-0.0023746490478515625,
-0.01861572265625,
-0.0026454925537109375,
0.047149658203125,
-0.0233306884765625,
-0.06201171875,
0.0132293701171875,
0.032196044921875,
0.029571533203125,
0.007022857666015625,
-0.088134765625,
0.0010671615600585938,
-0.00688934326171875,
-0.0281829833984375,
0.0196533203125,
0.007724761962890625,
0.019012451171875,
0.034515380859375,
0.042144775390625,
-0.0002332925796508789,
0.0028095245361328125,
0.0181121826171875,
0.0706787109375,
-0.04443359375,
-0.031768798828125,
-0.055633544921875,
0.02801513671875,
-0.020263671875,
-0.06195068359375,
0.040191650390625,
0.06878662109375,
0.07763671875,
-0.0269622802734375,
0.048095703125,
-0.0015735626220703125,
0.034088134765625,
-0.0266265869140625,
0.053741455078125,
-0.02874755859375,
-0.01517486572265625,
-0.017486572265625,
-0.061737060546875,
0.0029697418212890625,
0.061553955078125,
-0.017669677734375,
0.0107269287109375,
0.030059814453125,
0.043121337890625,
0.0007309913635253906,
0.01015472412109375,
0.0223236083984375,
-0.005985260009765625,
0.01605224609375,
0.028961181640625,
0.03363037109375,
-0.058837890625,
0.03228759765625,
-0.049072265625,
-0.00827789306640625,
-0.010986328125,
-0.04913330078125,
-0.0772705078125,
-0.0203399658203125,
-0.0367431640625,
-0.038818359375,
0.01800537109375,
0.0753173828125,
0.058074951171875,
-0.045654296875,
-0.0313720703125,
0.00421905517578125,
-0.024169921875,
-0.031005859375,
-0.01296234130859375,
0.038970947265625,
-0.032440185546875,
-0.055908203125,
-0.003482818603515625,
-0.0274810791015625,
0.0183868408203125,
-0.01033782958984375,
-0.0239715576171875,
-0.0216827392578125,
-0.0260162353515625,
0.0164947509765625,
0.00304412841796875,
-0.0369873046875,
-0.029754638671875,
-0.017242431640625,
-0.0114898681640625,
0.017333984375,
0.016143798828125,
-0.0465087890625,
0.041351318359375,
0.0143585205078125,
0.0289154052734375,
0.05462646484375,
-0.0068511962890625,
0.0227508544921875,
-0.052459716796875,
0.02191162109375,
0.01342010498046875,
0.0286712646484375,
0.004444122314453125,
-0.021331787109375,
0.039093017578125,
0.031829833984375,
-0.0394287109375,
-0.048980712890625,
-0.019683837890625,
-0.07861328125,
0.0064239501953125,
0.074462890625,
-0.00933837890625,
-0.0416259765625,
0.031707763671875,
-0.016265869140625,
0.033203125,
-0.023345947265625,
0.041259765625,
0.058563232421875,
-0.00901031494140625,
0.01186370849609375,
-0.033233642578125,
0.032318115234375,
0.0281219482421875,
-0.045684814453125,
-0.01393890380859375,
0.0234222412109375,
0.0260467529296875,
0.004688262939453125,
0.0201873779296875,
0.001056671142578125,
0.031890869140625,
-0.00029277801513671875,
0.043182373046875,
-0.02618408203125,
-0.0232696533203125,
-0.0217437744140625,
0.00762176513671875,
0.00991058349609375,
-0.04229736328125
]
] |
gokuls/HBERTv1_48_L10_H64_A2 | 2023-10-02T06:13:42.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L10_H64_A2 | 0 | 2 | transformers | 2023-09-29T23:04:40 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L10_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.14864722239975706
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L10_H64_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1168
- Accuracy: 0.1486
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 110
- eval_batch_size: 110
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0310211181640625,
-0.050048828125,
0.006427764892578125,
0.01142120361328125,
-0.032958984375,
-0.033966064453125,
-0.0245208740234375,
-0.0280914306640625,
0.00701904296875,
0.0146026611328125,
-0.04888916015625,
-0.035919189453125,
-0.04241943359375,
-0.01629638671875,
-0.0210113525390625,
0.10101318359375,
0.01068115234375,
0.0310211181640625,
-0.01027679443359375,
0.00804901123046875,
-0.01390838623046875,
-0.051727294921875,
-0.063720703125,
-0.055938720703125,
0.03509521484375,
-0.0011835098266601562,
0.07220458984375,
0.06402587890625,
0.051605224609375,
0.015960693359375,
-0.032562255859375,
-0.01512908935546875,
-0.049957275390625,
-0.0251312255859375,
0.004497528076171875,
-0.0260009765625,
-0.054412841796875,
-0.003444671630859375,
0.058349609375,
0.0224456787109375,
-0.0256500244140625,
0.033050537109375,
0.01432037353515625,
0.032684326171875,
-0.032501220703125,
0.026611328125,
-0.039215087890625,
0.0226898193359375,
-0.01277923583984375,
-0.0133514404296875,
-0.035614013671875,
-0.00801849365234375,
0.01251220703125,
-0.038299560546875,
0.04437255859375,
-0.00921630859375,
0.10174560546875,
0.0271453857421875,
0.00890350341796875,
0.00937652587890625,
-0.0648193359375,
0.04022216796875,
-0.0546875,
0.0200653076171875,
0.0294952392578125,
0.04681396484375,
-0.0010433197021484375,
-0.058868408203125,
-0.03533935546875,
-0.01010894775390625,
0.0038166046142578125,
0.019012451171875,
-0.004207611083984375,
0.005405426025390625,
0.050262451171875,
0.0238494873046875,
-0.03277587890625,
0.01288604736328125,
-0.041412353515625,
-0.01390838623046875,
0.0478515625,
0.0250244140625,
-0.0116119384765625,
-0.0171966552734375,
-0.032012939453125,
-0.0280609130859375,
-0.0289306640625,
0.01593017578125,
0.051239013671875,
0.0222015380859375,
-0.0279388427734375,
0.039886474609375,
0.00024378299713134766,
0.06231689453125,
0.0016613006591796875,
-0.003520965576171875,
0.040069580078125,
-0.005115509033203125,
-0.03533935546875,
-0.01384735107421875,
0.062042236328125,
0.030914306640625,
0.0287322998046875,
-0.00030350685119628906,
-0.023590087890625,
-0.024261474609375,
0.041595458984375,
-0.05792236328125,
-0.03790283203125,
-0.00034689903259277344,
-0.056793212890625,
-0.04180908203125,
-0.003124237060546875,
-0.039306640625,
0.00934600830078125,
-0.037628173828125,
0.04156494140625,
-0.047119140625,
-0.0086517333984375,
-0.0019092559814453125,
-0.0158538818359375,
0.0262908935546875,
0.0197296142578125,
-0.06341552734375,
0.020751953125,
0.025848388671875,
0.031463623046875,
0.0172271728515625,
-0.032012939453125,
-0.00574493408203125,
0.0018606185913085938,
-0.023834228515625,
0.0341796875,
-0.0229949951171875,
-0.0282745361328125,
0.000010788440704345703,
0.005458831787109375,
-0.0091094970703125,
-0.0283203125,
0.07122802734375,
-0.0287322998046875,
0.01483917236328125,
-0.020172119140625,
-0.055999755859375,
-0.00846099853515625,
0.0182342529296875,
-0.049835205078125,
0.08734130859375,
0.00522613525390625,
-0.049285888671875,
0.042938232421875,
-0.04742431640625,
-0.01262664794921875,
0.0224151611328125,
-0.00708770751953125,
-0.060577392578125,
0.003513336181640625,
0.00804901123046875,
0.03973388671875,
-0.005702972412109375,
0.0308685302734375,
-0.035675048828125,
-0.045379638671875,
-0.003269195556640625,
-0.037872314453125,
0.055877685546875,
0.00852203369140625,
-0.0212860107421875,
0.0207061767578125,
-0.08148193359375,
0.0219573974609375,
0.0240478515625,
-0.04248046875,
0.00933074951171875,
-0.0009484291076660156,
0.039306640625,
0.0128326416015625,
0.026702880859375,
-0.045135498046875,
0.00899505615234375,
-0.0233306884765625,
0.01116943359375,
0.053955078125,
-0.01401519775390625,
-0.005817413330078125,
-0.0292510986328125,
0.004596710205078125,
-0.003139495849609375,
0.043670654296875,
0.0219879150390625,
-0.043914794921875,
-0.061737060546875,
-0.026397705078125,
0.028594970703125,
0.0201416015625,
-0.030487060546875,
0.07305908203125,
-0.0101776123046875,
-0.0684814453125,
-0.035552978515625,
0.00920867919921875,
0.034820556640625,
0.045562744140625,
0.03924560546875,
-0.005077362060546875,
-0.027069091796875,
-0.0843505859375,
0.00600433349609375,
-0.006053924560546875,
0.00888824462890625,
0.01715087890625,
0.049285888671875,
-0.003910064697265625,
0.06024169921875,
-0.028594970703125,
-0.007080078125,
-0.018280029296875,
0.003940582275390625,
0.0321044921875,
0.0650634765625,
0.055572509765625,
-0.035430908203125,
-0.017425537109375,
-0.0242767333984375,
-0.06494140625,
0.034454345703125,
-0.00777435302734375,
-0.0259857177734375,
-0.00792694091796875,
0.015655517578125,
-0.033721923828125,
0.054534912109375,
0.0142974853515625,
-0.007221221923828125,
0.050933837890625,
-0.050994873046875,
-0.0254058837890625,
-0.06781005859375,
0.0189056396484375,
0.0177154541015625,
0.0025119781494140625,
-0.023834228515625,
0.0081939697265625,
0.01541900634765625,
-0.018157958984375,
-0.033111572265625,
0.03680419921875,
0.0035076141357421875,
0.004016876220703125,
-0.0139617919921875,
-0.032135009765625,
-0.007701873779296875,
0.058868408203125,
0.0202484130859375,
0.034820556640625,
0.04962158203125,
-0.050933837890625,
0.039398193359375,
0.041748046875,
-0.030029296875,
0.0308074951171875,
-0.07891845703125,
0.0089263916015625,
-0.00928497314453125,
0.0082244873046875,
-0.056915283203125,
-0.0223541259765625,
0.040496826171875,
-0.035491943359375,
0.0236053466796875,
-0.007228851318359375,
-0.047119140625,
-0.044708251953125,
-0.00811004638671875,
0.0131378173828125,
0.049224853515625,
-0.061370849609375,
0.0340576171875,
-0.0115509033203125,
0.02294921875,
-0.04083251953125,
-0.050201416015625,
-0.0222320556640625,
0.0036220550537109375,
-0.0301055908203125,
0.02099609375,
-0.020904541015625,
0.022613525390625,
0.00824737548828125,
0.01247406005859375,
-0.0206146240234375,
-0.00452423095703125,
0.0206298828125,
0.038421630859375,
-0.0037631988525390625,
0.0167083740234375,
0.0020904541015625,
-0.0030422210693359375,
0.022064208984375,
0.01229095458984375,
0.037811279296875,
-0.006008148193359375,
-0.020721435546875,
-0.057159423828125,
-0.00904083251953125,
0.030242919921875,
-0.01007843017578125,
0.06689453125,
0.06890869140625,
-0.042938232421875,
0.0023097991943359375,
-0.0285491943359375,
-0.0021190643310546875,
-0.030548095703125,
0.036163330078125,
-0.038116455078125,
-0.00897216796875,
0.042755126953125,
0.0240020751953125,
0.01507568359375,
0.0655517578125,
0.048614501953125,
-0.006366729736328125,
0.08282470703125,
0.0276336669921875,
-0.01065826416015625,
0.0318603515625,
-0.048919677734375,
-0.0105438232421875,
-0.056884765625,
-0.033905029296875,
-0.0400390625,
-0.0263824462890625,
-0.041778564453125,
0.00203704833984375,
0.01372528076171875,
0.00827789306640625,
-0.04010009765625,
0.0233154296875,
-0.044403076171875,
0.030487060546875,
0.05963134765625,
0.046112060546875,
-0.019561767578125,
0.01507568359375,
-0.01467132568359375,
-0.0037059783935546875,
-0.06634521484375,
-0.032562255859375,
0.10302734375,
0.043731689453125,
0.053070068359375,
-0.01161956787109375,
0.05499267578125,
0.006832122802734375,
0.01346588134765625,
-0.035186767578125,
0.03704833984375,
0.0006031990051269531,
-0.06976318359375,
-0.0272216796875,
-0.01776123046875,
-0.051849365234375,
0.00827789306640625,
-0.041015625,
-0.039520263671875,
0.0034542083740234375,
0.0201873779296875,
-0.0308074951171875,
0.031494140625,
-0.042633056640625,
0.08258056640625,
-0.0227813720703125,
-0.035614013671875,
-0.022369384765625,
-0.048797607421875,
0.009033203125,
0.004863739013671875,
-0.030426025390625,
0.0010986328125,
0.025177001953125,
0.07659912109375,
-0.040618896484375,
0.053741455078125,
-0.03668212890625,
0.0214385986328125,
0.0272216796875,
-0.034881591796875,
0.040008544921875,
0.004146575927734375,
-0.022369384765625,
0.0172882080078125,
-0.00627899169921875,
-0.052703857421875,
-0.0240631103515625,
0.048126220703125,
-0.0946044921875,
-0.0033130645751953125,
-0.032867431640625,
-0.03826904296875,
-0.005474090576171875,
0.009033203125,
0.04510498046875,
0.051544189453125,
-0.0244598388671875,
0.01445770263671875,
0.04180908203125,
-0.006389617919921875,
0.038543701171875,
0.01441192626953125,
0.0013484954833984375,
-0.03131103515625,
0.06622314453125,
-0.005359649658203125,
0.005245208740234375,
-0.00887298583984375,
0.00850677490234375,
-0.03179931640625,
-0.039093017578125,
-0.04339599609375,
0.0215301513671875,
-0.056640625,
-0.00980377197265625,
-0.019195556640625,
-0.044830322265625,
-0.023712158203125,
0.00823974609375,
-0.028594970703125,
-0.004024505615234375,
-0.039306640625,
-0.00930023193359375,
0.01617431640625,
0.044158935546875,
-0.00499725341796875,
0.054718017578125,
-0.04730224609375,
0.00390625,
0.0116424560546875,
0.040313720703125,
0.00955963134765625,
-0.058685302734375,
-0.039306640625,
0.005374908447265625,
-0.022430419921875,
-0.031829833984375,
0.029510498046875,
0.01482391357421875,
0.056427001953125,
0.034210205078125,
-0.01424407958984375,
0.0635986328125,
-0.03179931640625,
0.05572509765625,
0.021484375,
-0.04034423828125,
0.0288238525390625,
-0.0197296142578125,
0.0258636474609375,
0.041534423828125,
0.040863037109375,
0.00972747802734375,
-0.01154327392578125,
-0.09515380859375,
-0.05059814453125,
0.061767578125,
0.0256500244140625,
0.0211029052734375,
0.004795074462890625,
0.037689208984375,
0.0029010772705078125,
0.0161895751953125,
-0.057159423828125,
-0.033843994140625,
-0.0238800048828125,
-0.0117340087890625,
-0.0126953125,
-0.032745361328125,
-0.01380157470703125,
-0.054290771484375,
0.0841064453125,
0.005462646484375,
0.040557861328125,
0.00833892822265625,
0.00833892822265625,
-0.0192413330078125,
-0.00882720947265625,
0.040924072265625,
0.0546875,
-0.061187744140625,
-0.029449462890625,
0.0035552978515625,
-0.03399658203125,
-0.016021728515625,
0.0263214111328125,
-0.01209259033203125,
0.0237274169921875,
0.0272979736328125,
0.08453369140625,
0.003971099853515625,
-0.01629638671875,
0.028167724609375,
-0.0127105712890625,
-0.029815673828125,
-0.032562255859375,
0.01509857177734375,
-0.01042938232421875,
0.00818634033203125,
0.01059722900390625,
0.0282745361328125,
-0.007137298583984375,
-0.004913330078125,
0.0111083984375,
0.01432037353515625,
-0.0289306640625,
-0.019744873046875,
0.05621337890625,
0.0185699462890625,
-0.0198974609375,
0.0670166015625,
-0.006359100341796875,
-0.01540374755859375,
0.054168701171875,
0.03851318359375,
0.06024169921875,
-0.00565338134765625,
0.000026702880859375,
0.0635986328125,
0.0096893310546875,
-0.01025390625,
0.03173828125,
0.0009870529174804688,
-0.047515869140625,
-0.0247344970703125,
-0.05206298828125,
-0.0294952392578125,
0.041717529296875,
-0.08782958984375,
0.027069091796875,
-0.04913330078125,
-0.0292510986328125,
0.028778076171875,
-0.00399017333984375,
-0.0775146484375,
0.046661376953125,
0.0186004638671875,
0.08673095703125,
-0.0654296875,
0.07598876953125,
0.051422119140625,
-0.0380859375,
-0.06439208984375,
-0.01099395751953125,
-0.0292510986328125,
-0.07257080078125,
0.05975341796875,
-0.003448486328125,
0.0286407470703125,
0.00608062744140625,
-0.05230712890625,
-0.047119140625,
0.054718017578125,
0.01776123046875,
-0.057952880859375,
-0.005825042724609375,
0.006175994873046875,
0.05908203125,
-0.01389312744140625,
0.045684814453125,
0.0180816650390625,
0.019866943359375,
0.0119171142578125,
-0.068115234375,
-0.026092529296875,
-0.027557373046875,
0.0151824951171875,
0.007053375244140625,
-0.03863525390625,
0.06781005859375,
-0.0005955696105957031,
0.037078857421875,
0.0203094482421875,
0.050872802734375,
0.004459381103515625,
0.0012063980102539062,
0.025177001953125,
0.06610107421875,
0.04595947265625,
-0.007373809814453125,
0.08428955078125,
-0.04559326171875,
0.05572509765625,
0.09112548828125,
-0.0032672882080078125,
0.056060791015625,
0.020477294921875,
-0.0157928466796875,
0.0207672119140625,
0.060211181640625,
-0.041351318359375,
0.041229248046875,
0.0219573974609375,
0.0005745887756347656,
-0.036590576171875,
0.018829345703125,
-0.048919677734375,
0.0250701904296875,
0.0021915435791015625,
-0.05535888671875,
-0.0280914306640625,
-0.01271820068359375,
-0.00980377197265625,
-0.0139617919921875,
-0.029632568359375,
0.033447265625,
-0.037506103515625,
-0.03173828125,
0.056610107421875,
0.0025043487548828125,
0.0274810791015625,
-0.056884765625,
-0.0011148452758789062,
0.00800323486328125,
0.03515625,
-0.01073455810546875,
-0.047149658203125,
0.015655517578125,
-0.0022373199462890625,
-0.0185394287109375,
-0.0024433135986328125,
0.047454833984375,
-0.0225677490234375,
-0.0625,
0.01361846923828125,
0.0311431884765625,
0.0287933349609375,
0.007122039794921875,
-0.08831787109375,
0.0011157989501953125,
-0.00701904296875,
-0.0272674560546875,
0.0203094482421875,
0.00730133056640625,
0.0184783935546875,
0.03411865234375,
0.043212890625,
0.0000021457672119140625,
0.0031375885009765625,
0.018524169921875,
0.07122802734375,
-0.04376220703125,
-0.032684326171875,
-0.05560302734375,
0.027984619140625,
-0.020904541015625,
-0.061737060546875,
0.039825439453125,
0.06866455078125,
0.0777587890625,
-0.0265350341796875,
0.047698974609375,
-0.002399444580078125,
0.03399658203125,
-0.0267486572265625,
0.05401611328125,
-0.0289764404296875,
-0.01474761962890625,
-0.0177154541015625,
-0.061676025390625,
0.002346038818359375,
0.06201171875,
-0.018096923828125,
0.0107879638671875,
0.029205322265625,
0.04296875,
0.0006303787231445312,
0.0112152099609375,
0.0216217041015625,
-0.005908966064453125,
0.016571044921875,
0.0297698974609375,
0.033660888671875,
-0.057830810546875,
0.03271484375,
-0.048828125,
-0.00821685791015625,
-0.01058197021484375,
-0.048828125,
-0.07769775390625,
-0.0209808349609375,
-0.036285400390625,
-0.038360595703125,
0.01776123046875,
0.07452392578125,
0.057952880859375,
-0.046051025390625,
-0.0305328369140625,
0.0035800933837890625,
-0.0247039794921875,
-0.031158447265625,
-0.01294708251953125,
0.03961181640625,
-0.033355712890625,
-0.056396484375,
-0.0032596588134765625,
-0.0271453857421875,
0.0178985595703125,
-0.0101165771484375,
-0.0233154296875,
-0.0217437744140625,
-0.0262298583984375,
0.0161285400390625,
0.0030384063720703125,
-0.037261962890625,
-0.029510498046875,
-0.017852783203125,
-0.01102447509765625,
0.016876220703125,
0.0167083740234375,
-0.047088623046875,
0.042327880859375,
0.0139007568359375,
0.029388427734375,
0.053863525390625,
-0.007434844970703125,
0.0230712890625,
-0.052337646484375,
0.0216217041015625,
0.0135498046875,
0.029022216796875,
0.005031585693359375,
-0.022216796875,
0.039306640625,
0.031280517578125,
-0.039031982421875,
-0.049163818359375,
-0.01953125,
-0.07867431640625,
0.005931854248046875,
0.07391357421875,
-0.00933837890625,
-0.04156494140625,
0.031005859375,
-0.0154571533203125,
0.0333251953125,
-0.0233306884765625,
0.0419921875,
0.057647705078125,
-0.0090789794921875,
0.01200103759765625,
-0.03289794921875,
0.032012939453125,
0.0289306640625,
-0.045745849609375,
-0.01360321044921875,
0.0236663818359375,
0.0260162353515625,
0.0057373046875,
0.0197906494140625,
0.000415802001953125,
0.032135009765625,
-0.0005350112915039062,
0.042388916015625,
-0.02685546875,
-0.0228271484375,
-0.021881103515625,
0.00777435302734375,
0.00887298583984375,
-0.042083740234375
]
] |
gokuls/HBERTv1_48_L8_H768_A12 | 2023-10-02T06:41:37.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L8_H768_A12 | 0 | 2 | transformers | 2023-09-29T23:14:56 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L8_H768_A12
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.46849419452203217
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L8_H768_A12
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0123
- Accuracy: 0.4685
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0310516357421875,
-0.050140380859375,
0.006561279296875,
0.0117645263671875,
-0.0335693359375,
-0.03369140625,
-0.0245361328125,
-0.0273895263671875,
0.0058746337890625,
0.01483917236328125,
-0.048309326171875,
-0.036834716796875,
-0.04278564453125,
-0.0165557861328125,
-0.0205078125,
0.10107421875,
0.01007843017578125,
0.0306243896484375,
-0.010467529296875,
0.00811004638671875,
-0.01445770263671875,
-0.05157470703125,
-0.06378173828125,
-0.055908203125,
0.0343017578125,
-0.00022935867309570312,
0.072265625,
0.0648193359375,
0.051605224609375,
0.016204833984375,
-0.0323486328125,
-0.01493072509765625,
-0.049468994140625,
-0.0244140625,
0.004619598388671875,
-0.0264129638671875,
-0.055450439453125,
-0.0028209686279296875,
0.058349609375,
0.021392822265625,
-0.025482177734375,
0.033416748046875,
0.0146026611328125,
0.03289794921875,
-0.033203125,
0.0276641845703125,
-0.03887939453125,
0.023040771484375,
-0.012847900390625,
-0.01444244384765625,
-0.035003662109375,
-0.00891876220703125,
0.01160430908203125,
-0.038787841796875,
0.044769287109375,
-0.0091552734375,
0.10150146484375,
0.0263214111328125,
0.00940704345703125,
0.0087432861328125,
-0.065673828125,
0.04058837890625,
-0.054443359375,
0.0196685791015625,
0.030120849609375,
0.046722412109375,
-0.0006723403930664062,
-0.0579833984375,
-0.03619384765625,
-0.01006317138671875,
0.004032135009765625,
0.0191192626953125,
-0.0035724639892578125,
0.00583648681640625,
0.05145263671875,
0.02337646484375,
-0.0328369140625,
0.01267242431640625,
-0.0418701171875,
-0.01393890380859375,
0.04754638671875,
0.0257415771484375,
-0.01139068603515625,
-0.0173492431640625,
-0.031768798828125,
-0.0274658203125,
-0.02935791015625,
0.01445770263671875,
0.051361083984375,
0.02130126953125,
-0.0280609130859375,
0.040771484375,
0.00028586387634277344,
0.0615234375,
0.0010251998901367188,
-0.004779815673828125,
0.040283203125,
-0.00479888916015625,
-0.0352783203125,
-0.01340484619140625,
0.062286376953125,
0.031585693359375,
0.0290679931640625,
0.0003173351287841797,
-0.02288818359375,
-0.0251312255859375,
0.0411376953125,
-0.0577392578125,
-0.037384033203125,
0.0001691579818725586,
-0.0570068359375,
-0.041778564453125,
-0.003265380859375,
-0.040374755859375,
0.00954437255859375,
-0.037628173828125,
0.041259765625,
-0.046783447265625,
-0.00821685791015625,
-0.00284576416015625,
-0.0166015625,
0.0264129638671875,
0.01995849609375,
-0.06439208984375,
0.0211639404296875,
0.0260009765625,
0.030792236328125,
0.016876220703125,
-0.03240966796875,
-0.00601959228515625,
0.00323486328125,
-0.023284912109375,
0.033538818359375,
-0.023162841796875,
-0.0284271240234375,
-0.00043129920959472656,
0.005565643310546875,
-0.008453369140625,
-0.029205322265625,
0.0701904296875,
-0.0291290283203125,
0.0140228271484375,
-0.019805908203125,
-0.055450439453125,
-0.0079803466796875,
0.018310546875,
-0.0499267578125,
0.08807373046875,
0.0051727294921875,
-0.049530029296875,
0.04278564453125,
-0.04730224609375,
-0.0123443603515625,
0.022491455078125,
-0.006977081298828125,
-0.060089111328125,
0.003215789794921875,
0.007843017578125,
0.0400390625,
-0.005893707275390625,
0.0306549072265625,
-0.03546142578125,
-0.045135498046875,
-0.003261566162109375,
-0.03863525390625,
0.05535888671875,
0.00860595703125,
-0.02130126953125,
0.02001953125,
-0.0810546875,
0.0218658447265625,
0.023651123046875,
-0.04345703125,
0.00909423828125,
-0.0006909370422363281,
0.039031982421875,
0.01229095458984375,
0.0265350341796875,
-0.045684814453125,
0.0091552734375,
-0.023345947265625,
0.0107879638671875,
0.0543212890625,
-0.01325225830078125,
-0.0060882568359375,
-0.02874755859375,
0.004856109619140625,
-0.0024471282958984375,
0.043792724609375,
0.0228118896484375,
-0.043731689453125,
-0.062286376953125,
-0.025634765625,
0.0278778076171875,
0.0210723876953125,
-0.0304107666015625,
0.0731201171875,
-0.01056671142578125,
-0.0684814453125,
-0.035186767578125,
0.01000213623046875,
0.0343017578125,
0.044769287109375,
0.04010009765625,
-0.00557708740234375,
-0.0269622802734375,
-0.083740234375,
0.0057220458984375,
-0.006366729736328125,
0.00954437255859375,
0.0168304443359375,
0.049285888671875,
-0.0035152435302734375,
0.060455322265625,
-0.0291748046875,
-0.0068359375,
-0.0189666748046875,
0.004077911376953125,
0.031097412109375,
0.06634521484375,
0.054840087890625,
-0.03521728515625,
-0.0175628662109375,
-0.0243377685546875,
-0.06512451171875,
0.034912109375,
-0.00848388671875,
-0.0267486572265625,
-0.00881195068359375,
0.0158843994140625,
-0.03399658203125,
0.055206298828125,
0.012847900390625,
-0.0064849853515625,
0.05108642578125,
-0.051513671875,
-0.0247650146484375,
-0.06756591796875,
0.01904296875,
0.0176239013671875,
0.00287628173828125,
-0.02386474609375,
0.00753021240234375,
0.01523590087890625,
-0.01806640625,
-0.03369140625,
0.036712646484375,
0.0033435821533203125,
0.003936767578125,
-0.01470947265625,
-0.032012939453125,
-0.00732421875,
0.058258056640625,
0.02020263671875,
0.034423828125,
0.049713134765625,
-0.05181884765625,
0.040191650390625,
0.0423583984375,
-0.0295562744140625,
0.03125,
-0.0782470703125,
0.0087890625,
-0.00968170166015625,
0.007389068603515625,
-0.05694580078125,
-0.021209716796875,
0.04119873046875,
-0.0355224609375,
0.0238189697265625,
-0.007556915283203125,
-0.04766845703125,
-0.044464111328125,
-0.007389068603515625,
0.01364898681640625,
0.049285888671875,
-0.061004638671875,
0.03411865234375,
-0.01151275634765625,
0.022613525390625,
-0.04052734375,
-0.05023193359375,
-0.0224761962890625,
0.0034961700439453125,
-0.02886962890625,
0.02069091796875,
-0.0214385986328125,
0.022796630859375,
0.007717132568359375,
0.0120697021484375,
-0.021087646484375,
-0.004486083984375,
0.0204010009765625,
0.038482666015625,
-0.003276824951171875,
0.0165863037109375,
0.002532958984375,
-0.0032291412353515625,
0.0222930908203125,
0.01224517822265625,
0.037109375,
-0.004608154296875,
-0.0212554931640625,
-0.057342529296875,
-0.00807952880859375,
0.0303192138671875,
-0.01039886474609375,
0.06610107421875,
0.07049560546875,
-0.042999267578125,
0.0029697418212890625,
-0.0289154052734375,
-0.001735687255859375,
-0.030609130859375,
0.035980224609375,
-0.0374755859375,
-0.0087127685546875,
0.041839599609375,
0.0242156982421875,
0.01482391357421875,
0.06573486328125,
0.04925537109375,
-0.006519317626953125,
0.083251953125,
0.0277862548828125,
-0.0103607177734375,
0.031707763671875,
-0.04888916015625,
-0.0102691650390625,
-0.057830810546875,
-0.034393310546875,
-0.040283203125,
-0.025482177734375,
-0.041656494140625,
0.0021266937255859375,
0.01303863525390625,
0.00814056396484375,
-0.039520263671875,
0.0237274169921875,
-0.0440673828125,
0.03131103515625,
0.05902099609375,
0.046173095703125,
-0.0198211669921875,
0.015777587890625,
-0.0139617919921875,
-0.003932952880859375,
-0.06610107421875,
-0.032928466796875,
0.10321044921875,
0.043365478515625,
0.052947998046875,
-0.0116729736328125,
0.0550537109375,
0.00736236572265625,
0.0140228271484375,
-0.035125732421875,
0.03759765625,
0.0005583763122558594,
-0.06976318359375,
-0.0269775390625,
-0.017791748046875,
-0.051605224609375,
0.007781982421875,
-0.04058837890625,
-0.039886474609375,
0.004093170166015625,
0.0207061767578125,
-0.030242919921875,
0.03143310546875,
-0.042724609375,
0.0831298828125,
-0.022064208984375,
-0.03607177734375,
-0.0222625732421875,
-0.04840087890625,
0.00881195068359375,
0.0052642822265625,
-0.0301666259765625,
0.00017774105072021484,
0.024810791015625,
0.07733154296875,
-0.04107666015625,
0.054107666015625,
-0.036865234375,
0.0210723876953125,
0.028045654296875,
-0.03497314453125,
0.039825439453125,
0.00469970703125,
-0.0221099853515625,
0.016204833984375,
-0.006061553955078125,
-0.05316162109375,
-0.0245819091796875,
0.048370361328125,
-0.0948486328125,
-0.0037059783935546875,
-0.03192138671875,
-0.0374755859375,
-0.005279541015625,
0.00856781005859375,
0.045196533203125,
0.051177978515625,
-0.02459716796875,
0.01348876953125,
0.04156494140625,
-0.00620269775390625,
0.0384521484375,
0.0139617919921875,
0.0030002593994140625,
-0.0310516357421875,
0.0665283203125,
-0.0048675537109375,
0.005435943603515625,
-0.0085906982421875,
0.00850677490234375,
-0.032257080078125,
-0.0389404296875,
-0.04229736328125,
0.0211944580078125,
-0.05792236328125,
-0.00959014892578125,
-0.0193634033203125,
-0.044036865234375,
-0.023895263671875,
0.0092315673828125,
-0.0281524658203125,
-0.00403594970703125,
-0.040130615234375,
-0.00933074951171875,
0.016845703125,
0.043792724609375,
-0.005847930908203125,
0.055511474609375,
-0.04827880859375,
0.004917144775390625,
0.01207733154296875,
0.04058837890625,
0.01000213623046875,
-0.05859375,
-0.039886474609375,
0.00473785400390625,
-0.0225677490234375,
-0.032684326171875,
0.0296173095703125,
0.014678955078125,
0.05670166015625,
0.034423828125,
-0.01496124267578125,
0.06414794921875,
-0.0318603515625,
0.055938720703125,
0.0213623046875,
-0.041351318359375,
0.0291748046875,
-0.0186767578125,
0.025543212890625,
0.042022705078125,
0.04107666015625,
0.009429931640625,
-0.0115203857421875,
-0.09515380859375,
-0.050537109375,
0.061614990234375,
0.025848388671875,
0.021514892578125,
0.0047149658203125,
0.037384033203125,
0.0032939910888671875,
0.0168304443359375,
-0.05706787109375,
-0.034271240234375,
-0.024017333984375,
-0.01157379150390625,
-0.0128936767578125,
-0.03314208984375,
-0.01366424560546875,
-0.055084228515625,
0.08355712890625,
0.005680084228515625,
0.041015625,
0.008026123046875,
0.008087158203125,
-0.018707275390625,
-0.00801849365234375,
0.040252685546875,
0.0543212890625,
-0.06121826171875,
-0.02911376953125,
0.0037326812744140625,
-0.03533935546875,
-0.0149993896484375,
0.0261688232421875,
-0.01137542724609375,
0.0239715576171875,
0.0270538330078125,
0.0843505859375,
0.002685546875,
-0.0153045654296875,
0.0279541015625,
-0.0120086669921875,
-0.0296173095703125,
-0.03192138671875,
0.0158843994140625,
-0.01120758056640625,
0.007663726806640625,
0.00994110107421875,
0.0277252197265625,
-0.006519317626953125,
-0.00518035888671875,
0.01070404052734375,
0.01329803466796875,
-0.0291748046875,
-0.0189971923828125,
0.0557861328125,
0.01849365234375,
-0.0192108154296875,
0.06689453125,
-0.006977081298828125,
-0.0147705078125,
0.0546875,
0.038482666015625,
0.060760498046875,
-0.0057220458984375,
-0.0003674030303955078,
0.06365966796875,
0.00988006591796875,
-0.00954437255859375,
0.0328369140625,
0.00034165382385253906,
-0.047332763671875,
-0.0243682861328125,
-0.05133056640625,
-0.029449462890625,
0.040802001953125,
-0.0877685546875,
0.0263671875,
-0.049560546875,
-0.029449462890625,
0.0291290283203125,
-0.004123687744140625,
-0.078125,
0.046844482421875,
0.0184173583984375,
0.08612060546875,
-0.06610107421875,
0.07586669921875,
0.0504150390625,
-0.038482666015625,
-0.0640869140625,
-0.010894775390625,
-0.029205322265625,
-0.071533203125,
0.059783935546875,
-0.00424957275390625,
0.029510498046875,
0.0062103271484375,
-0.053436279296875,
-0.046295166015625,
0.054779052734375,
0.0169677734375,
-0.05706787109375,
-0.005161285400390625,
0.006130218505859375,
0.058807373046875,
-0.0146026611328125,
0.04632568359375,
0.0188140869140625,
0.020904541015625,
0.0119476318359375,
-0.0673828125,
-0.025054931640625,
-0.0275115966796875,
0.0153961181640625,
0.006702423095703125,
-0.037872314453125,
0.0672607421875,
-0.0013446807861328125,
0.03643798828125,
0.02044677734375,
0.051177978515625,
0.004283905029296875,
0.0002999305725097656,
0.0247802734375,
0.06488037109375,
0.0455322265625,
-0.0072174072265625,
0.083251953125,
-0.0450439453125,
0.0552978515625,
0.09088134765625,
-0.0031986236572265625,
0.056182861328125,
0.0211334228515625,
-0.01593017578125,
0.0207977294921875,
0.059967041015625,
-0.042816162109375,
0.040191650390625,
0.021942138671875,
0.0005125999450683594,
-0.03656005859375,
0.0191497802734375,
-0.04931640625,
0.0250244140625,
0.002788543701171875,
-0.05584716796875,
-0.0285797119140625,
-0.0127105712890625,
-0.00975799560546875,
-0.01482391357421875,
-0.029296875,
0.033935546875,
-0.037872314453125,
-0.031646728515625,
0.05670166015625,
0.0034770965576171875,
0.0266265869140625,
-0.056182861328125,
-0.0019073486328125,
0.00814056396484375,
0.034576416015625,
-0.01155853271484375,
-0.04791259765625,
0.01560211181640625,
-0.0014286041259765625,
-0.0182037353515625,
-0.0018901824951171875,
0.046478271484375,
-0.0229949951171875,
-0.06219482421875,
0.0126953125,
0.031097412109375,
0.029937744140625,
0.007205963134765625,
-0.0888671875,
0.0011844635009765625,
-0.006771087646484375,
-0.0266876220703125,
0.0196380615234375,
0.00789642333984375,
0.0189361572265625,
0.033660888671875,
0.04339599609375,
0.0003006458282470703,
0.0024814605712890625,
0.0185546875,
0.0711669921875,
-0.044464111328125,
-0.032440185546875,
-0.05609130859375,
0.0278472900390625,
-0.0204010009765625,
-0.0615234375,
0.03985595703125,
0.06951904296875,
0.07659912109375,
-0.0266876220703125,
0.047943115234375,
-0.0018205642700195312,
0.033660888671875,
-0.0268402099609375,
0.053436279296875,
-0.0281982421875,
-0.0145111083984375,
-0.01861572265625,
-0.062286376953125,
0.00237274169921875,
0.06072998046875,
-0.01861572265625,
0.01094818115234375,
0.0298614501953125,
0.04296875,
0.0002694129943847656,
0.01123809814453125,
0.020721435546875,
-0.00603485107421875,
0.0162200927734375,
0.0296783447265625,
0.0340576171875,
-0.0577392578125,
0.033203125,
-0.0482177734375,
-0.00875091552734375,
-0.01007843017578125,
-0.048431396484375,
-0.07757568359375,
-0.0207672119140625,
-0.03704833984375,
-0.038482666015625,
0.017852783203125,
0.07427978515625,
0.0574951171875,
-0.0455322265625,
-0.03125,
0.003879547119140625,
-0.023834228515625,
-0.0308685302734375,
-0.01299285888671875,
0.03955078125,
-0.03277587890625,
-0.056182861328125,
-0.004016876220703125,
-0.027099609375,
0.019561767578125,
-0.01044464111328125,
-0.0229644775390625,
-0.0214385986328125,
-0.0263214111328125,
0.016143798828125,
0.003536224365234375,
-0.036834716796875,
-0.0289154052734375,
-0.0184326171875,
-0.01136016845703125,
0.0179290771484375,
0.0165557861328125,
-0.046661376953125,
0.042327880859375,
0.01383209228515625,
0.02777099609375,
0.05438232421875,
-0.007541656494140625,
0.0231781005859375,
-0.052215576171875,
0.0219268798828125,
0.01320648193359375,
0.0281524658203125,
0.005016326904296875,
-0.0220947265625,
0.037841796875,
0.03143310546875,
-0.0384521484375,
-0.048126220703125,
-0.0196533203125,
-0.0782470703125,
0.00626373291015625,
0.07464599609375,
-0.0087127685546875,
-0.041748046875,
0.0297393798828125,
-0.0160369873046875,
0.033599853515625,
-0.02386474609375,
0.041107177734375,
0.05743408203125,
-0.0087738037109375,
0.01284027099609375,
-0.033294677734375,
0.03289794921875,
0.028167724609375,
-0.046295166015625,
-0.0130615234375,
0.0231475830078125,
0.02587890625,
0.0049285888671875,
0.0204925537109375,
0.0002849102020263672,
0.032073974609375,
-0.0004203319549560547,
0.04302978515625,
-0.02642822265625,
-0.022552490234375,
-0.0213165283203125,
0.00757598876953125,
0.009490966796875,
-0.0426025390625
]
] |
gokuls/HBERTv1_48_L8_H512_A8 | 2023-10-02T06:34:26.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L8_H512_A8 | 0 | 2 | transformers | 2023-09-29T23:15:59 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L8_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.39803375322279416
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L8_H512_A8
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6019
- Accuracy: 0.3980
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 80
- eval_batch_size: 80
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,588 | [
[
-0.0306854248046875,
-0.050445556640625,
0.006389617919921875,
0.01119232177734375,
-0.032867431640625,
-0.03314208984375,
-0.0243988037109375,
-0.027557373046875,
0.006420135498046875,
0.0148468017578125,
-0.049163818359375,
-0.0369873046875,
-0.0423583984375,
-0.01654052734375,
-0.020904541015625,
0.10028076171875,
0.01027679443359375,
0.0304718017578125,
-0.01013946533203125,
0.0072479248046875,
-0.013824462890625,
-0.051971435546875,
-0.06463623046875,
-0.05584716796875,
0.035247802734375,
-0.0003383159637451172,
0.072265625,
0.0653076171875,
0.05120849609375,
0.0161285400390625,
-0.0322265625,
-0.014556884765625,
-0.049163818359375,
-0.0244903564453125,
0.005138397216796875,
-0.0265045166015625,
-0.055511474609375,
-0.0029697418212890625,
0.058319091796875,
0.0210418701171875,
-0.0254058837890625,
0.033233642578125,
0.0140533447265625,
0.032989501953125,
-0.0333251953125,
0.0268402099609375,
-0.038330078125,
0.023712158203125,
-0.0128021240234375,
-0.01386260986328125,
-0.03546142578125,
-0.008636474609375,
0.0126495361328125,
-0.039306640625,
0.04473876953125,
-0.0083465576171875,
0.1026611328125,
0.0270843505859375,
0.00960540771484375,
0.00864410400390625,
-0.0648193359375,
0.04083251953125,
-0.05517578125,
0.020233154296875,
0.029693603515625,
0.0465087890625,
-0.0008602142333984375,
-0.058319091796875,
-0.035888671875,
-0.010162353515625,
0.0037364959716796875,
0.0186767578125,
-0.004558563232421875,
0.005771636962890625,
0.05108642578125,
0.0234222412109375,
-0.03253173828125,
0.01351165771484375,
-0.041290283203125,
-0.0141143798828125,
0.047943115234375,
0.0250701904296875,
-0.011566162109375,
-0.016448974609375,
-0.03167724609375,
-0.0286712646484375,
-0.0301971435546875,
0.0151519775390625,
0.051727294921875,
0.0210723876953125,
-0.027923583984375,
0.03985595703125,
0.0002465248107910156,
0.06268310546875,
0.0016870498657226562,
-0.00432586669921875,
0.04052734375,
-0.0048370361328125,
-0.03448486328125,
-0.013519287109375,
0.06268310546875,
0.0305023193359375,
0.02886962890625,
-0.00020778179168701172,
-0.022857666015625,
-0.0254058837890625,
0.04193115234375,
-0.0574951171875,
-0.037872314453125,
0.00021386146545410156,
-0.056854248046875,
-0.0418701171875,
-0.0030651092529296875,
-0.039886474609375,
0.009490966796875,
-0.0377197265625,
0.04168701171875,
-0.0462646484375,
-0.00875091552734375,
-0.0028133392333984375,
-0.016357421875,
0.02642822265625,
0.020263671875,
-0.0634765625,
0.0206451416015625,
0.0256500244140625,
0.0310211181640625,
0.0170440673828125,
-0.032806396484375,
-0.005527496337890625,
0.0021800994873046875,
-0.0239105224609375,
0.033538818359375,
-0.022247314453125,
-0.0270233154296875,
-0.00000768899917602539,
0.00528717041015625,
-0.00809478759765625,
-0.0293121337890625,
0.07037353515625,
-0.02923583984375,
0.0146484375,
-0.0196990966796875,
-0.055908203125,
-0.008880615234375,
0.017791748046875,
-0.049774169921875,
0.08843994140625,
0.005283355712890625,
-0.049072265625,
0.043304443359375,
-0.0478515625,
-0.01203155517578125,
0.022125244140625,
-0.00629425048828125,
-0.060516357421875,
0.0026569366455078125,
0.0083465576171875,
0.039398193359375,
-0.00537109375,
0.029388427734375,
-0.03558349609375,
-0.044952392578125,
-0.0029392242431640625,
-0.0377197265625,
0.05572509765625,
0.00807952880859375,
-0.0221099853515625,
0.0208892822265625,
-0.0806884765625,
0.022247314453125,
0.02313232421875,
-0.041839599609375,
0.00994873046875,
-0.0005955696105957031,
0.0386962890625,
0.0125885009765625,
0.026397705078125,
-0.045654296875,
0.0088653564453125,
-0.023712158203125,
0.01165771484375,
0.0540771484375,
-0.01354217529296875,
-0.00611114501953125,
-0.0284881591796875,
0.004871368408203125,
-0.003265380859375,
0.0435791015625,
0.0221710205078125,
-0.043365478515625,
-0.063232421875,
-0.025665283203125,
0.028564453125,
0.0209503173828125,
-0.0304107666015625,
0.07330322265625,
-0.00984954833984375,
-0.06817626953125,
-0.036407470703125,
0.0102081298828125,
0.03472900390625,
0.044891357421875,
0.03973388671875,
-0.006134033203125,
-0.0272216796875,
-0.084228515625,
0.006076812744140625,
-0.0066986083984375,
0.00849151611328125,
0.0175018310546875,
0.04888916015625,
-0.002933502197265625,
0.060821533203125,
-0.028778076171875,
-0.007495880126953125,
-0.017791748046875,
0.004184722900390625,
0.031463623046875,
0.0654296875,
0.055450439453125,
-0.03533935546875,
-0.0170440673828125,
-0.0244293212890625,
-0.065673828125,
0.03424072265625,
-0.00707244873046875,
-0.027008056640625,
-0.00824737548828125,
0.015777587890625,
-0.033294677734375,
0.054473876953125,
0.01348114013671875,
-0.006206512451171875,
0.0504150390625,
-0.0517578125,
-0.0244140625,
-0.06695556640625,
0.018798828125,
0.01806640625,
0.0027103424072265625,
-0.0240325927734375,
0.00855255126953125,
0.0153961181640625,
-0.017852783203125,
-0.0343017578125,
0.03668212890625,
0.00279998779296875,
0.003993988037109375,
-0.01483917236328125,
-0.032073974609375,
-0.007434844970703125,
0.058319091796875,
0.0200347900390625,
0.034820556640625,
0.050201416015625,
-0.051605224609375,
0.04156494140625,
0.0423583984375,
-0.0297393798828125,
0.0302276611328125,
-0.07861328125,
0.0099334716796875,
-0.00934600830078125,
0.00806427001953125,
-0.0567626953125,
-0.0219879150390625,
0.04119873046875,
-0.035797119140625,
0.023681640625,
-0.007602691650390625,
-0.04742431640625,
-0.045135498046875,
-0.0072784423828125,
0.0134429931640625,
0.0496826171875,
-0.062225341796875,
0.033416748046875,
-0.01120758056640625,
0.0232086181640625,
-0.041046142578125,
-0.050445556640625,
-0.0216522216796875,
0.003360748291015625,
-0.0290985107421875,
0.0207061767578125,
-0.0204620361328125,
0.0226287841796875,
0.00864410400390625,
0.01216888427734375,
-0.0215911865234375,
-0.00437164306640625,
0.02001953125,
0.038360595703125,
-0.003818511962890625,
0.0171356201171875,
0.0020313262939453125,
-0.002574920654296875,
0.0220489501953125,
0.0113067626953125,
0.037109375,
-0.005222320556640625,
-0.02032470703125,
-0.057891845703125,
-0.0088653564453125,
0.0295867919921875,
-0.0104522705078125,
0.0657958984375,
0.07012939453125,
-0.043121337890625,
0.0026416778564453125,
-0.02911376953125,
-0.0021533966064453125,
-0.0307464599609375,
0.035736083984375,
-0.0374755859375,
-0.0091094970703125,
0.041534423828125,
0.0247344970703125,
0.0151824951171875,
0.0655517578125,
0.049285888671875,
-0.006809234619140625,
0.08319091796875,
0.02752685546875,
-0.01108551025390625,
0.031951904296875,
-0.048675537109375,
-0.0102996826171875,
-0.0567626953125,
-0.033477783203125,
-0.039642333984375,
-0.0257568359375,
-0.041748046875,
0.0025959014892578125,
0.01378631591796875,
0.0078887939453125,
-0.039215087890625,
0.0243072509765625,
-0.044403076171875,
0.030853271484375,
0.05938720703125,
0.0469970703125,
-0.0199127197265625,
0.015655517578125,
-0.01251220703125,
-0.0037059783935546875,
-0.0667724609375,
-0.03271484375,
0.10321044921875,
0.04351806640625,
0.052825927734375,
-0.01221466064453125,
0.054931640625,
0.0079193115234375,
0.0140533447265625,
-0.035980224609375,
0.036865234375,
0.0006194114685058594,
-0.0697021484375,
-0.027618408203125,
-0.0178375244140625,
-0.052337646484375,
0.00807952880859375,
-0.041168212890625,
-0.039642333984375,
0.003681182861328125,
0.0216064453125,
-0.0299530029296875,
0.0310821533203125,
-0.04229736328125,
0.08282470703125,
-0.022613525390625,
-0.03643798828125,
-0.0226287841796875,
-0.048370361328125,
0.00801849365234375,
0.0055389404296875,
-0.0304107666015625,
-0.0002727508544921875,
0.0247955322265625,
0.077392578125,
-0.04052734375,
0.05303955078125,
-0.037109375,
0.020660400390625,
0.0279998779296875,
-0.035308837890625,
0.038726806640625,
0.004184722900390625,
-0.0228729248046875,
0.017242431640625,
-0.006961822509765625,
-0.053680419921875,
-0.0249786376953125,
0.047454833984375,
-0.0943603515625,
-0.0037174224853515625,
-0.031829833984375,
-0.037445068359375,
-0.00487518310546875,
0.0086212158203125,
0.045623779296875,
0.051300048828125,
-0.024169921875,
0.0132904052734375,
0.041534423828125,
-0.005931854248046875,
0.038726806640625,
0.01387786865234375,
0.0029010772705078125,
-0.0312347412109375,
0.0662841796875,
-0.005401611328125,
0.004863739013671875,
-0.0088653564453125,
0.00868988037109375,
-0.031982421875,
-0.039215087890625,
-0.0440673828125,
0.02099609375,
-0.05694580078125,
-0.00949859619140625,
-0.018798828125,
-0.04400634765625,
-0.0239105224609375,
0.00870513916015625,
-0.02886962890625,
-0.004245758056640625,
-0.03924560546875,
-0.00894927978515625,
0.0168609619140625,
0.044586181640625,
-0.005168914794921875,
0.05535888671875,
-0.047698974609375,
0.0044403076171875,
0.01128387451171875,
0.039947509765625,
0.0103759765625,
-0.058135986328125,
-0.040130615234375,
0.00527191162109375,
-0.022735595703125,
-0.032379150390625,
0.029815673828125,
0.01523590087890625,
0.056884765625,
0.033905029296875,
-0.0154571533203125,
0.0634765625,
-0.031829833984375,
0.05572509765625,
0.020843505859375,
-0.04132080078125,
0.0295867919921875,
-0.0186004638671875,
0.0252532958984375,
0.0418701171875,
0.0416259765625,
0.00943756103515625,
-0.01212310791015625,
-0.0947265625,
-0.050750732421875,
0.06182861328125,
0.0256195068359375,
0.020751953125,
0.006305694580078125,
0.03839111328125,
0.00315093994140625,
0.0169830322265625,
-0.05706787109375,
-0.034820556640625,
-0.0237579345703125,
-0.01128387451171875,
-0.0128021240234375,
-0.03192138671875,
-0.0138092041015625,
-0.055206298828125,
0.084228515625,
0.005664825439453125,
0.040435791015625,
0.0081329345703125,
0.00803375244140625,
-0.019287109375,
-0.00864410400390625,
0.03973388671875,
0.055206298828125,
-0.060882568359375,
-0.029388427734375,
0.0037708282470703125,
-0.034393310546875,
-0.01433563232421875,
0.0249481201171875,
-0.01165771484375,
0.02386474609375,
0.027587890625,
0.08514404296875,
0.0023097991943359375,
-0.0153045654296875,
0.0282440185546875,
-0.0118560791015625,
-0.029876708984375,
-0.032135009765625,
0.0160675048828125,
-0.01198577880859375,
0.007167816162109375,
0.0104217529296875,
0.027069091796875,
-0.006244659423828125,
-0.005474090576171875,
0.01126861572265625,
0.01300048828125,
-0.02899169921875,
-0.01898193359375,
0.055450439453125,
0.0184478759765625,
-0.019622802734375,
0.0667724609375,
-0.007228851318359375,
-0.016021728515625,
0.054473876953125,
0.038116455078125,
0.060394287109375,
-0.0056915283203125,
-0.0008254051208496094,
0.06427001953125,
0.00958251953125,
-0.009857177734375,
0.0311279296875,
0.0005745887756347656,
-0.0478515625,
-0.024658203125,
-0.0511474609375,
-0.031158447265625,
0.0408935546875,
-0.08831787109375,
0.026580810546875,
-0.0491943359375,
-0.0289154052734375,
0.0296478271484375,
-0.0037441253662109375,
-0.07720947265625,
0.047149658203125,
0.018096923828125,
0.08551025390625,
-0.06610107421875,
0.0751953125,
0.051513671875,
-0.03765869140625,
-0.06378173828125,
-0.0106048583984375,
-0.029632568359375,
-0.07208251953125,
0.05963134765625,
-0.004192352294921875,
0.02911376953125,
0.006191253662109375,
-0.05316162109375,
-0.046783447265625,
0.05413818359375,
0.017425537109375,
-0.0567626953125,
-0.005390167236328125,
0.005786895751953125,
0.059356689453125,
-0.0146026611328125,
0.045806884765625,
0.0193023681640625,
0.020843505859375,
0.01172637939453125,
-0.0675048828125,
-0.0251617431640625,
-0.027252197265625,
0.0148162841796875,
0.006755828857421875,
-0.038726806640625,
0.0672607421875,
-0.0012035369873046875,
0.036956787109375,
0.0201416015625,
0.05108642578125,
0.0037746429443359375,
0.0004291534423828125,
0.0252227783203125,
0.0655517578125,
0.045745849609375,
-0.0072174072265625,
0.083251953125,
-0.0452880859375,
0.055450439453125,
0.0899658203125,
-0.0024738311767578125,
0.055999755859375,
0.0202178955078125,
-0.0164947509765625,
0.020904541015625,
0.060150146484375,
-0.042755126953125,
0.0399169921875,
0.0225372314453125,
0.00019824504852294922,
-0.036468505859375,
0.0191802978515625,
-0.048492431640625,
0.025909423828125,
0.00289154052734375,
-0.055267333984375,
-0.02801513671875,
-0.01227569580078125,
-0.0097198486328125,
-0.0145263671875,
-0.0291900634765625,
0.0340576171875,
-0.03765869140625,
-0.031951904296875,
0.05712890625,
0.002902984619140625,
0.0274810791015625,
-0.055450439453125,
-0.0020236968994140625,
0.0085906982421875,
0.034820556640625,
-0.0121002197265625,
-0.047576904296875,
0.0150299072265625,
-0.0017805099487304688,
-0.01806640625,
-0.0027942657470703125,
0.047271728515625,
-0.02362060546875,
-0.062255859375,
0.01293182373046875,
0.03155517578125,
0.0299835205078125,
0.007488250732421875,
-0.08831787109375,
0.0006628036499023438,
-0.006877899169921875,
-0.0274505615234375,
0.019439697265625,
0.007213592529296875,
0.01910400390625,
0.0338134765625,
0.042572021484375,
0.0005812644958496094,
0.0028591156005859375,
0.018310546875,
0.07049560546875,
-0.043060302734375,
-0.032073974609375,
-0.055694580078125,
0.0268402099609375,
-0.0207061767578125,
-0.062255859375,
0.039947509765625,
0.06939697265625,
0.07745361328125,
-0.0262603759765625,
0.048065185546875,
-0.00228118896484375,
0.033721923828125,
-0.026702880859375,
0.05426025390625,
-0.029052734375,
-0.01534271240234375,
-0.0175018310546875,
-0.06207275390625,
0.002300262451171875,
0.061676025390625,
-0.0178680419921875,
0.01053619384765625,
0.0297698974609375,
0.04302978515625,
0.000873565673828125,
0.01114654541015625,
0.0207977294921875,
-0.005878448486328125,
0.015716552734375,
0.0295867919921875,
0.033599853515625,
-0.0584716796875,
0.032379150390625,
-0.049224853515625,
-0.00894927978515625,
-0.009674072265625,
-0.048675537109375,
-0.07684326171875,
-0.0205535888671875,
-0.03704833984375,
-0.038726806640625,
0.018402099609375,
0.0743408203125,
0.057891845703125,
-0.0460205078125,
-0.031890869140625,
0.0038013458251953125,
-0.0240631103515625,
-0.0308380126953125,
-0.0128936767578125,
0.039794921875,
-0.033294677734375,
-0.05657958984375,
-0.003528594970703125,
-0.0272674560546875,
0.0187225341796875,
-0.00986480712890625,
-0.0225830078125,
-0.0211181640625,
-0.027008056640625,
0.015899658203125,
0.00354766845703125,
-0.0367431640625,
-0.0294342041015625,
-0.0184478759765625,
-0.0106658935546875,
0.0184783935546875,
0.0165557861328125,
-0.047088623046875,
0.042083740234375,
0.0133819580078125,
0.028045654296875,
0.0550537109375,
-0.00771331787109375,
0.02337646484375,
-0.052520751953125,
0.0222015380859375,
0.01378631591796875,
0.0279541015625,
0.005313873291015625,
-0.0221405029296875,
0.038909912109375,
0.031341552734375,
-0.038421630859375,
-0.04840087890625,
-0.0198974609375,
-0.07794189453125,
0.006603240966796875,
0.07421875,
-0.0096893310546875,
-0.04229736328125,
0.0302734375,
-0.0157318115234375,
0.0340576171875,
-0.0235748291015625,
0.041595458984375,
0.058197021484375,
-0.01001739501953125,
0.01245880126953125,
-0.0328369140625,
0.0330810546875,
0.0290985107421875,
-0.04638671875,
-0.012847900390625,
0.0231170654296875,
0.0253448486328125,
0.004673004150390625,
0.0200347900390625,
0.0004012584686279297,
0.03265380859375,
-0.0002963542938232422,
0.0430908203125,
-0.026458740234375,
-0.0227508544921875,
-0.0215301513671875,
0.007411956787109375,
0.009674072265625,
-0.042236328125
]
] |
gokuls/HBERTv1_48_L8_H256_A4 | 2023-10-02T06:28:14.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L8_H256_A4 | 0 | 2 | transformers | 2023-09-29T23:16:26 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L8_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.29608570292737807
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L8_H256_A4
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5723
- Accuracy: 0.2961
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,588 | [
[
-0.0308380126953125,
-0.049652099609375,
0.00652313232421875,
0.01171875,
-0.032440185546875,
-0.034027099609375,
-0.02435302734375,
-0.02740478515625,
0.0069580078125,
0.01517486572265625,
-0.049652099609375,
-0.03680419921875,
-0.0423583984375,
-0.0154571533203125,
-0.0215911865234375,
0.1016845703125,
0.010223388671875,
0.030548095703125,
-0.010162353515625,
0.007122039794921875,
-0.0148468017578125,
-0.052734375,
-0.06329345703125,
-0.0557861328125,
0.0352783203125,
-0.0001558065414428711,
0.07183837890625,
0.0643310546875,
0.052032470703125,
0.0160369873046875,
-0.0322265625,
-0.01526641845703125,
-0.05035400390625,
-0.0247650146484375,
0.00528717041015625,
-0.0263671875,
-0.0550537109375,
-0.00257110595703125,
0.05841064453125,
0.0222320556640625,
-0.0257568359375,
0.03314208984375,
0.01336669921875,
0.032562255859375,
-0.032928466796875,
0.0262298583984375,
-0.03924560546875,
0.0229949951171875,
-0.01308441162109375,
-0.013885498046875,
-0.034454345703125,
-0.009368896484375,
0.01294708251953125,
-0.038970947265625,
0.044891357421875,
-0.00879669189453125,
0.10223388671875,
0.0264739990234375,
0.00946807861328125,
0.00860595703125,
-0.06488037109375,
0.04132080078125,
-0.05548095703125,
0.0207672119140625,
0.0294952392578125,
0.046112060546875,
-0.0009069442749023438,
-0.05908203125,
-0.035400390625,
-0.00919342041015625,
0.004016876220703125,
0.01898193359375,
-0.0038242340087890625,
0.005496978759765625,
0.05035400390625,
0.0242156982421875,
-0.033050537109375,
0.01268768310546875,
-0.04132080078125,
-0.01445770263671875,
0.047637939453125,
0.0247955322265625,
-0.0120849609375,
-0.0165252685546875,
-0.03204345703125,
-0.0276031494140625,
-0.0302276611328125,
0.01507568359375,
0.051513671875,
0.021484375,
-0.0272674560546875,
0.039794921875,
-0.0003018379211425781,
0.062042236328125,
0.001617431640625,
-0.0037364959716796875,
0.040618896484375,
-0.0068206787109375,
-0.03472900390625,
-0.0137481689453125,
0.0626220703125,
0.031768798828125,
0.0284423828125,
-0.00015115737915039062,
-0.0241546630859375,
-0.02484130859375,
0.0413818359375,
-0.05853271484375,
-0.037994384765625,
-0.0004622936248779297,
-0.05645751953125,
-0.0418701171875,
-0.004131317138671875,
-0.038970947265625,
0.009918212890625,
-0.037261962890625,
0.041412353515625,
-0.047271728515625,
-0.00801849365234375,
-0.0021648406982421875,
-0.0164642333984375,
0.026336669921875,
0.01953125,
-0.06378173828125,
0.0213775634765625,
0.025421142578125,
0.030914306640625,
0.016876220703125,
-0.032073974609375,
-0.00522613525390625,
0.002254486083984375,
-0.0237884521484375,
0.033538818359375,
-0.0225372314453125,
-0.02764892578125,
-0.0001537799835205078,
0.00489044189453125,
-0.00806427001953125,
-0.028472900390625,
0.0712890625,
-0.0296478271484375,
0.01488494873046875,
-0.021087646484375,
-0.056396484375,
-0.00930023193359375,
0.01788330078125,
-0.049560546875,
0.08740234375,
0.005229949951171875,
-0.048919677734375,
0.043670654296875,
-0.04766845703125,
-0.01192474365234375,
0.022247314453125,
-0.006038665771484375,
-0.060699462890625,
0.002716064453125,
0.00841522216796875,
0.039703369140625,
-0.005413055419921875,
0.030303955078125,
-0.035400390625,
-0.04449462890625,
-0.00292205810546875,
-0.03802490234375,
0.055450439453125,
0.00812530517578125,
-0.0205078125,
0.021453857421875,
-0.0810546875,
0.0224151611328125,
0.02325439453125,
-0.04217529296875,
0.00933837890625,
-0.0010395050048828125,
0.03875732421875,
0.01270294189453125,
0.026641845703125,
-0.045440673828125,
0.00930023193359375,
-0.0240478515625,
0.0124664306640625,
0.05419921875,
-0.0128021240234375,
-0.005558013916015625,
-0.028778076171875,
0.004852294921875,
-0.003204345703125,
0.043853759765625,
0.0221405029296875,
-0.043731689453125,
-0.062347412109375,
-0.0259246826171875,
0.0290985107421875,
0.0198211669921875,
-0.029266357421875,
0.0728759765625,
-0.01052093505859375,
-0.06829833984375,
-0.036773681640625,
0.0108642578125,
0.034576416015625,
0.045379638671875,
0.039703369140625,
-0.005977630615234375,
-0.02838134765625,
-0.084716796875,
0.00605010986328125,
-0.005687713623046875,
0.0095062255859375,
0.0165557861328125,
0.0494384765625,
-0.00441741943359375,
0.061279296875,
-0.0284423828125,
-0.007083892822265625,
-0.018218994140625,
0.00417327880859375,
0.031829833984375,
0.06512451171875,
0.05584716796875,
-0.03582763671875,
-0.0167999267578125,
-0.0249786376953125,
-0.0654296875,
0.033599853515625,
-0.0071868896484375,
-0.0267486572265625,
-0.00830841064453125,
0.01554107666015625,
-0.033599853515625,
0.054473876953125,
0.014373779296875,
-0.0064239501953125,
0.050567626953125,
-0.050445556640625,
-0.0251617431640625,
-0.06695556640625,
0.0190582275390625,
0.017791748046875,
0.002288818359375,
-0.0245819091796875,
0.00794219970703125,
0.0159759521484375,
-0.0175323486328125,
-0.033538818359375,
0.03619384765625,
0.00272369384765625,
0.0030364990234375,
-0.01392364501953125,
-0.032012939453125,
-0.0068817138671875,
0.058868408203125,
0.01983642578125,
0.03466796875,
0.0491943359375,
-0.05145263671875,
0.040283203125,
0.04266357421875,
-0.0293121337890625,
0.0299224853515625,
-0.078369140625,
0.0090789794921875,
-0.0083465576171875,
0.00865936279296875,
-0.056671142578125,
-0.0216064453125,
0.04022216796875,
-0.0355224609375,
0.023101806640625,
-0.00730133056640625,
-0.046875,
-0.044769287109375,
-0.00852203369140625,
0.01421356201171875,
0.0487060546875,
-0.06109619140625,
0.032562255859375,
-0.01152801513671875,
0.0223388671875,
-0.040283203125,
-0.049835205078125,
-0.0218505859375,
0.00301361083984375,
-0.029693603515625,
0.020751953125,
-0.02178955078125,
0.0234527587890625,
0.00833892822265625,
0.01220703125,
-0.02099609375,
-0.00455474853515625,
0.019866943359375,
0.037933349609375,
-0.0036449432373046875,
0.016082763671875,
0.001552581787109375,
-0.0023956298828125,
0.02215576171875,
0.01187896728515625,
0.03704833984375,
-0.005344390869140625,
-0.0202178955078125,
-0.057220458984375,
-0.00897979736328125,
0.0298309326171875,
-0.01080322265625,
0.06622314453125,
0.0689697265625,
-0.0428466796875,
0.0031280517578125,
-0.0286865234375,
-0.00275421142578125,
-0.0307464599609375,
0.03564453125,
-0.03759765625,
-0.0092620849609375,
0.04266357421875,
0.0250701904296875,
0.015869140625,
0.0657958984375,
0.049224853515625,
-0.006114959716796875,
0.08319091796875,
0.027557373046875,
-0.01035308837890625,
0.03173828125,
-0.049041748046875,
-0.0099334716796875,
-0.057647705078125,
-0.033599853515625,
-0.039642333984375,
-0.0258941650390625,
-0.04205322265625,
0.002643585205078125,
0.0135955810546875,
0.00800323486328125,
-0.03936767578125,
0.0237579345703125,
-0.043975830078125,
0.0295867919921875,
0.06005859375,
0.045440673828125,
-0.0198211669921875,
0.01416778564453125,
-0.013702392578125,
-0.0036792755126953125,
-0.067138671875,
-0.032623291015625,
0.103759765625,
0.0438232421875,
0.05255126953125,
-0.01152801513671875,
0.054931640625,
0.00699615478515625,
0.01418304443359375,
-0.03582763671875,
0.03680419921875,
0.0015106201171875,
-0.06976318359375,
-0.0275726318359375,
-0.01800537109375,
-0.052093505859375,
0.00786590576171875,
-0.0408935546875,
-0.038818359375,
0.003871917724609375,
0.02069091796875,
-0.0301971435546875,
0.030364990234375,
-0.042633056640625,
0.08306884765625,
-0.0226287841796875,
-0.035247802734375,
-0.02178955078125,
-0.0484619140625,
0.00885009765625,
0.004070281982421875,
-0.029541015625,
0.0006303787231445312,
0.0252685546875,
0.0777587890625,
-0.0413818359375,
0.053924560546875,
-0.036041259765625,
0.021026611328125,
0.0272064208984375,
-0.035308837890625,
0.03887939453125,
0.003864288330078125,
-0.0229339599609375,
0.0179595947265625,
-0.006313323974609375,
-0.052703857421875,
-0.0241546630859375,
0.048431396484375,
-0.09466552734375,
-0.0032176971435546875,
-0.032379150390625,
-0.03778076171875,
-0.005237579345703125,
0.00952911376953125,
0.045501708984375,
0.052001953125,
-0.02447509765625,
0.01447296142578125,
0.04119873046875,
-0.006160736083984375,
0.038604736328125,
0.01470184326171875,
0.0023956298828125,
-0.031402587890625,
0.06597900390625,
-0.004535675048828125,
0.00521087646484375,
-0.00894927978515625,
0.0085601806640625,
-0.0330810546875,
-0.03985595703125,
-0.042816162109375,
0.0213165283203125,
-0.057373046875,
-0.0104217529296875,
-0.0188751220703125,
-0.044952392578125,
-0.0249481201171875,
0.00861358642578125,
-0.028564453125,
-0.00418853759765625,
-0.03936767578125,
-0.0099639892578125,
0.017120361328125,
0.04473876953125,
-0.00556182861328125,
0.05511474609375,
-0.047607421875,
0.004425048828125,
0.01154327392578125,
0.040771484375,
0.0094146728515625,
-0.058868408203125,
-0.03997802734375,
0.0058746337890625,
-0.0229034423828125,
-0.03314208984375,
0.0301971435546875,
0.01558685302734375,
0.056396484375,
0.0343017578125,
-0.0146026611328125,
0.06414794921875,
-0.032440185546875,
0.056121826171875,
0.0216827392578125,
-0.041107177734375,
0.029541015625,
-0.0195465087890625,
0.025177001953125,
0.04132080078125,
0.041168212890625,
0.009368896484375,
-0.01213836669921875,
-0.09521484375,
-0.05126953125,
0.061370849609375,
0.0264739990234375,
0.0204620361328125,
0.005329132080078125,
0.03802490234375,
0.0031585693359375,
0.016815185546875,
-0.0576171875,
-0.03387451171875,
-0.024444580078125,
-0.01169586181640625,
-0.01323699951171875,
-0.032623291015625,
-0.01373291015625,
-0.0543212890625,
0.0836181640625,
0.00604248046875,
0.039794921875,
0.0081024169921875,
0.008209228515625,
-0.0192413330078125,
-0.00870513916015625,
0.039825439453125,
0.055145263671875,
-0.061279296875,
-0.029693603515625,
0.0035305023193359375,
-0.034027099609375,
-0.01541900634765625,
0.0253753662109375,
-0.01174163818359375,
0.0230560302734375,
0.02740478515625,
0.08453369140625,
0.004215240478515625,
-0.01499176025390625,
0.0281829833984375,
-0.0128021240234375,
-0.030120849609375,
-0.03228759765625,
0.01551055908203125,
-0.0115509033203125,
0.0069580078125,
0.01035308837890625,
0.0272216796875,
-0.005344390869140625,
-0.005352020263671875,
0.01108551025390625,
0.01351165771484375,
-0.028228759765625,
-0.02008056640625,
0.0552978515625,
0.0191802978515625,
-0.019287109375,
0.0662841796875,
-0.006679534912109375,
-0.0160980224609375,
0.05377197265625,
0.0384521484375,
0.059844970703125,
-0.0057830810546875,
-0.0010938644409179688,
0.063232421875,
0.00965118408203125,
-0.00986480712890625,
0.03155517578125,
0.001956939697265625,
-0.048004150390625,
-0.02484130859375,
-0.052276611328125,
-0.0299224853515625,
0.041900634765625,
-0.08819580078125,
0.02679443359375,
-0.048980712890625,
-0.029388427734375,
0.02978515625,
-0.0034618377685546875,
-0.078125,
0.04718017578125,
0.0183258056640625,
0.0858154296875,
-0.066162109375,
0.07452392578125,
0.0518798828125,
-0.038360595703125,
-0.0645751953125,
-0.011138916015625,
-0.0293121337890625,
-0.07183837890625,
0.05975341796875,
-0.00411224365234375,
0.0294952392578125,
0.006626129150390625,
-0.052947998046875,
-0.048126220703125,
0.054443359375,
0.016876220703125,
-0.05712890625,
-0.005535125732421875,
0.005725860595703125,
0.058868408203125,
-0.0141448974609375,
0.046142578125,
0.0183258056640625,
0.0203857421875,
0.01206207275390625,
-0.06781005859375,
-0.0251617431640625,
-0.0269927978515625,
0.01531982421875,
0.006908416748046875,
-0.038330078125,
0.06707763671875,
-0.00011539459228515625,
0.03729248046875,
0.0204010009765625,
0.05126953125,
0.004024505615234375,
0.0007491111755371094,
0.024932861328125,
0.065673828125,
0.045867919921875,
-0.007328033447265625,
0.083984375,
-0.045379638671875,
0.054962158203125,
0.09039306640625,
-0.0031890869140625,
0.05584716796875,
0.0205230712890625,
-0.01538848876953125,
0.0208740234375,
0.060821533203125,
-0.04180908203125,
0.041168212890625,
0.02178955078125,
0.0013294219970703125,
-0.03594970703125,
0.019134521484375,
-0.048614501953125,
0.025421142578125,
0.0034084320068359375,
-0.054718017578125,
-0.027862548828125,
-0.01277923583984375,
-0.0102996826171875,
-0.01479339599609375,
-0.029388427734375,
0.033966064453125,
-0.0377197265625,
-0.03204345703125,
0.057342529296875,
0.0031757354736328125,
0.02740478515625,
-0.056365966796875,
-0.0015401840209960938,
0.007808685302734375,
0.03436279296875,
-0.0118408203125,
-0.047637939453125,
0.01556396484375,
-0.0016994476318359375,
-0.018280029296875,
-0.0031299591064453125,
0.0472412109375,
-0.0228271484375,
-0.06195068359375,
0.0130462646484375,
0.030914306640625,
0.0296783447265625,
0.007648468017578125,
-0.08843994140625,
0.0009069442749023438,
-0.00684356689453125,
-0.02752685546875,
0.01934814453125,
0.00841522216796875,
0.018280029296875,
0.034027099609375,
0.043731689453125,
0.000583648681640625,
0.0032215118408203125,
0.018585205078125,
0.07135009765625,
-0.043701171875,
-0.032562255859375,
-0.05523681640625,
0.0269622802734375,
-0.0205230712890625,
-0.06195068359375,
0.040374755859375,
0.0689697265625,
0.0772705078125,
-0.0256805419921875,
0.0482177734375,
-0.0016717910766601562,
0.034332275390625,
-0.0267333984375,
0.053314208984375,
-0.0288238525390625,
-0.0141143798828125,
-0.01788330078125,
-0.061981201171875,
0.0027446746826171875,
0.06158447265625,
-0.018096923828125,
0.01099395751953125,
0.0293121337890625,
0.042816162109375,
0.00035190582275390625,
0.01110076904296875,
0.021026611328125,
-0.0050201416015625,
0.0160675048828125,
0.029266357421875,
0.03375244140625,
-0.057647705078125,
0.0328369140625,
-0.048675537109375,
-0.0087432861328125,
-0.01105499267578125,
-0.049072265625,
-0.07684326171875,
-0.0205535888671875,
-0.036895751953125,
-0.037872314453125,
0.01824951171875,
0.07342529296875,
0.05792236328125,
-0.045989990234375,
-0.0309295654296875,
0.0035419464111328125,
-0.0244903564453125,
-0.0305328369140625,
-0.012939453125,
0.038909912109375,
-0.03326416015625,
-0.055755615234375,
-0.003429412841796875,
-0.0274658203125,
0.01806640625,
-0.0101165771484375,
-0.0230560302734375,
-0.022003173828125,
-0.026214599609375,
0.01611328125,
0.0031719207763671875,
-0.03704833984375,
-0.029571533203125,
-0.0179595947265625,
-0.01108551025390625,
0.0172882080078125,
0.01555633544921875,
-0.046722412109375,
0.041595458984375,
0.013519287109375,
0.028228759765625,
0.05426025390625,
-0.007617950439453125,
0.024688720703125,
-0.05377197265625,
0.021087646484375,
0.014190673828125,
0.028778076171875,
0.00543212890625,
-0.02203369140625,
0.0386962890625,
0.031341552734375,
-0.039398193359375,
-0.04840087890625,
-0.019866943359375,
-0.0782470703125,
0.006534576416015625,
0.074951171875,
-0.0095062255859375,
-0.041412353515625,
0.0305328369140625,
-0.01512908935546875,
0.033721923828125,
-0.023712158203125,
0.04083251953125,
0.0579833984375,
-0.00916290283203125,
0.0126953125,
-0.0333251953125,
0.03314208984375,
0.028778076171875,
-0.0455322265625,
-0.01299285888671875,
0.0243682861328125,
0.026336669921875,
0.004730224609375,
0.020843505859375,
0.0004982948303222656,
0.032073974609375,
-0.0016412734985351562,
0.0428466796875,
-0.02593994140625,
-0.0222625732421875,
-0.02166748046875,
0.007045745849609375,
0.0093841552734375,
-0.041900634765625
]
] |
gokuls/HBERTv1_48_L8_H128_A2 | 2023-10-02T06:26:33.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L8_H128_A2 | 0 | 2 | transformers | 2023-09-29T23:17:16 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L8_H128_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.15241119963160663
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L8_H128_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9809
- Accuracy: 0.1524
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 110
- eval_batch_size: 110
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0309906005859375,
-0.049896240234375,
0.005870819091796875,
0.01131439208984375,
-0.033172607421875,
-0.033660888671875,
-0.0245361328125,
-0.027740478515625,
0.007293701171875,
0.01519012451171875,
-0.04949951171875,
-0.036529541015625,
-0.042633056640625,
-0.0159149169921875,
-0.0214385986328125,
0.10101318359375,
0.00992584228515625,
0.030609130859375,
-0.01004791259765625,
0.00800323486328125,
-0.01473236083984375,
-0.05169677734375,
-0.0635986328125,
-0.056365966796875,
0.03533935546875,
-0.00092315673828125,
0.07208251953125,
0.0640869140625,
0.05206298828125,
0.0159912109375,
-0.032989501953125,
-0.01502227783203125,
-0.050323486328125,
-0.0250701904296875,
0.004749298095703125,
-0.0259857177734375,
-0.05450439453125,
-0.0025424957275390625,
0.058441162109375,
0.0221405029296875,
-0.026275634765625,
0.0330810546875,
0.01434326171875,
0.03265380859375,
-0.032318115234375,
0.026947021484375,
-0.038482666015625,
0.0231781005859375,
-0.01214599609375,
-0.0137939453125,
-0.03558349609375,
-0.00846099853515625,
0.0125885009765625,
-0.03851318359375,
0.04449462890625,
-0.0087738037109375,
0.1021728515625,
0.027008056640625,
0.00927734375,
0.0092620849609375,
-0.06536865234375,
0.040679931640625,
-0.054931640625,
0.020355224609375,
0.02978515625,
0.046661376953125,
-0.0010128021240234375,
-0.059234619140625,
-0.0352783203125,
-0.0100250244140625,
0.0033473968505859375,
0.019439697265625,
-0.004283905029296875,
0.005199432373046875,
0.05029296875,
0.0239410400390625,
-0.032745361328125,
0.01263427734375,
-0.041351318359375,
-0.01380157470703125,
0.048065185546875,
0.0250701904296875,
-0.01181793212890625,
-0.0165863037109375,
-0.032196044921875,
-0.028076171875,
-0.029205322265625,
0.0158843994140625,
0.051055908203125,
0.0222015380859375,
-0.027740478515625,
0.0400390625,
-0.00019276142120361328,
0.061981201171875,
0.0020313262939453125,
-0.004291534423828125,
0.039947509765625,
-0.00579071044921875,
-0.035064697265625,
-0.01383209228515625,
0.061859130859375,
0.03131103515625,
0.0286407470703125,
-0.00037407875061035156,
-0.0236358642578125,
-0.024749755859375,
0.041473388671875,
-0.058349609375,
-0.037689208984375,
-0.0007872581481933594,
-0.05718994140625,
-0.0419921875,
-0.0029201507568359375,
-0.039581298828125,
0.009521484375,
-0.03741455078125,
0.041473388671875,
-0.046661376953125,
-0.00852203369140625,
-0.0018291473388671875,
-0.016082763671875,
0.0265350341796875,
0.0199737548828125,
-0.06317138671875,
0.0211944580078125,
0.0252685546875,
0.0308380126953125,
0.017120361328125,
-0.031982421875,
-0.005863189697265625,
0.001964569091796875,
-0.024017333984375,
0.03387451171875,
-0.022674560546875,
-0.028350830078125,
-0.00018537044525146484,
0.005489349365234375,
-0.00868988037109375,
-0.0287933349609375,
0.07171630859375,
-0.029083251953125,
0.0147247314453125,
-0.0203857421875,
-0.056182861328125,
-0.0087890625,
0.0180511474609375,
-0.04962158203125,
0.0875244140625,
0.005481719970703125,
-0.048614501953125,
0.04345703125,
-0.047210693359375,
-0.01204681396484375,
0.022430419921875,
-0.006473541259765625,
-0.059967041015625,
0.003101348876953125,
0.0083160400390625,
0.039794921875,
-0.005680084228515625,
0.030120849609375,
-0.035430908203125,
-0.044952392578125,
-0.003261566162109375,
-0.037994384765625,
0.054931640625,
0.00855255126953125,
-0.0212860107421875,
0.0204925537109375,
-0.08099365234375,
0.0220184326171875,
0.0240936279296875,
-0.042633056640625,
0.009521484375,
-0.0006971359252929688,
0.039337158203125,
0.01299285888671875,
0.026031494140625,
-0.044952392578125,
0.00942230224609375,
-0.023651123046875,
0.0113677978515625,
0.053955078125,
-0.01337432861328125,
-0.00579833984375,
-0.0291748046875,
0.00514984130859375,
-0.002857208251953125,
0.043243408203125,
0.0218353271484375,
-0.04327392578125,
-0.061859130859375,
-0.0265045166015625,
0.028900146484375,
0.0195770263671875,
-0.0300445556640625,
0.0726318359375,
-0.01026153564453125,
-0.06854248046875,
-0.035919189453125,
0.00954437255859375,
0.03460693359375,
0.045562744140625,
0.039398193359375,
-0.005504608154296875,
-0.0272064208984375,
-0.083984375,
0.00588226318359375,
-0.006053924560546875,
0.00908660888671875,
0.01678466796875,
0.049407958984375,
-0.0036468505859375,
0.05999755859375,
-0.0287933349609375,
-0.007305145263671875,
-0.0186614990234375,
0.0038394927978515625,
0.031585693359375,
0.06500244140625,
0.055328369140625,
-0.035888671875,
-0.017578125,
-0.024444580078125,
-0.0648193359375,
0.034576416015625,
-0.00780487060546875,
-0.025970458984375,
-0.0084075927734375,
0.0158843994140625,
-0.03363037109375,
0.054931640625,
0.01406097412109375,
-0.00736236572265625,
0.05059814453125,
-0.050323486328125,
-0.0246734619140625,
-0.06732177734375,
0.0186920166015625,
0.0180206298828125,
0.002040863037109375,
-0.0241241455078125,
0.00862884521484375,
0.01515960693359375,
-0.0177459716796875,
-0.033843994140625,
0.036834716796875,
0.0035648345947265625,
0.004283905029296875,
-0.01413726806640625,
-0.031768798828125,
-0.007415771484375,
0.058685302734375,
0.0201568603515625,
0.03472900390625,
0.048980712890625,
-0.05108642578125,
0.03985595703125,
0.04241943359375,
-0.0302734375,
0.0302734375,
-0.0789794921875,
0.00885772705078125,
-0.00901031494140625,
0.00824737548828125,
-0.057037353515625,
-0.0222015380859375,
0.040863037109375,
-0.035675048828125,
0.023223876953125,
-0.007045745849609375,
-0.04742431640625,
-0.04473876953125,
-0.0082244873046875,
0.01342010498046875,
0.049560546875,
-0.06109619140625,
0.033782958984375,
-0.0118255615234375,
0.0230712890625,
-0.040313720703125,
-0.04986572265625,
-0.022369384765625,
0.0034465789794921875,
-0.029449462890625,
0.021240234375,
-0.0212249755859375,
0.0228118896484375,
0.00832366943359375,
0.01226043701171875,
-0.0208740234375,
-0.00461578369140625,
0.020294189453125,
0.038238525390625,
-0.003925323486328125,
0.0161285400390625,
0.0015630722045898438,
-0.0031414031982421875,
0.0218353271484375,
0.01256561279296875,
0.03759765625,
-0.00563812255859375,
-0.020599365234375,
-0.057769775390625,
-0.0091094970703125,
0.0298004150390625,
-0.01036834716796875,
0.0665283203125,
0.0689697265625,
-0.04327392578125,
0.002552032470703125,
-0.0281829833984375,
-0.002544403076171875,
-0.0306396484375,
0.035980224609375,
-0.037994384765625,
-0.0088043212890625,
0.04241943359375,
0.0237274169921875,
0.01511383056640625,
0.0657958984375,
0.049041748046875,
-0.00655364990234375,
0.08349609375,
0.0280914306640625,
-0.01050567626953125,
0.031585693359375,
-0.048980712890625,
-0.01003265380859375,
-0.056915283203125,
-0.033966064453125,
-0.040191650390625,
-0.0261077880859375,
-0.0419921875,
0.002361297607421875,
0.01355743408203125,
0.00865936279296875,
-0.03973388671875,
0.023834228515625,
-0.044036865234375,
0.0308380126953125,
0.05950927734375,
0.046234130859375,
-0.019561767578125,
0.014892578125,
-0.0139617919921875,
-0.004322052001953125,
-0.06658935546875,
-0.03271484375,
0.10272216796875,
0.043670654296875,
0.05303955078125,
-0.0118560791015625,
0.05499267578125,
0.00699615478515625,
0.0137481689453125,
-0.035919189453125,
0.03692626953125,
0.0012836456298828125,
-0.06964111328125,
-0.027435302734375,
-0.0176849365234375,
-0.052032470703125,
0.00841522216796875,
-0.04095458984375,
-0.039215087890625,
0.0033969879150390625,
0.0203857421875,
-0.0306396484375,
0.031036376953125,
-0.0419921875,
0.08270263671875,
-0.022430419921875,
-0.035125732421875,
-0.0224609375,
-0.04840087890625,
0.00823974609375,
0.0050048828125,
-0.0302276611328125,
0.0004048347473144531,
0.0249481201171875,
0.0767822265625,
-0.040435791015625,
0.053497314453125,
-0.036376953125,
0.021240234375,
0.0275421142578125,
-0.034576416015625,
0.03973388671875,
0.00403594970703125,
-0.022674560546875,
0.0168914794921875,
-0.00579833984375,
-0.052734375,
-0.0245819091796875,
0.047454833984375,
-0.0943603515625,
-0.0031414031982421875,
-0.032318115234375,
-0.037628173828125,
-0.004962921142578125,
0.00946044921875,
0.04547119140625,
0.051422119140625,
-0.024749755859375,
0.0144195556640625,
0.04107666015625,
-0.006023406982421875,
0.03826904296875,
0.0144500732421875,
0.0013446807861328125,
-0.031219482421875,
0.06573486328125,
-0.005107879638671875,
0.005130767822265625,
-0.0088653564453125,
0.00891876220703125,
-0.031982421875,
-0.03912353515625,
-0.04302978515625,
0.0214080810546875,
-0.056884765625,
-0.00974273681640625,
-0.018341064453125,
-0.044677734375,
-0.0240020751953125,
0.008514404296875,
-0.0289459228515625,
-0.003509521484375,
-0.039154052734375,
-0.00946044921875,
0.0158233642578125,
0.044342041015625,
-0.004795074462890625,
0.05499267578125,
-0.047454833984375,
0.004184722900390625,
0.01107025146484375,
0.040252685546875,
0.0098724365234375,
-0.059234619140625,
-0.03973388671875,
0.00580596923828125,
-0.0230712890625,
-0.0318603515625,
0.030029296875,
0.0147247314453125,
0.056549072265625,
0.034271240234375,
-0.01396942138671875,
0.06414794921875,
-0.032073974609375,
0.05609130859375,
0.0218048095703125,
-0.040374755859375,
0.0291290283203125,
-0.0191497802734375,
0.025177001953125,
0.041259765625,
0.041046142578125,
0.00878143310546875,
-0.01186370849609375,
-0.0953369140625,
-0.050689697265625,
0.061859130859375,
0.0259857177734375,
0.0212860107421875,
0.00539398193359375,
0.037994384765625,
0.003215789794921875,
0.0166168212890625,
-0.057464599609375,
-0.03460693359375,
-0.0235748291015625,
-0.01143646240234375,
-0.01334381103515625,
-0.032867431640625,
-0.0140838623046875,
-0.054901123046875,
0.0841064453125,
0.005764007568359375,
0.04083251953125,
0.00833892822265625,
0.00858306884765625,
-0.0196380615234375,
-0.00884246826171875,
0.040557861328125,
0.0546875,
-0.06109619140625,
-0.0298919677734375,
0.003604888916015625,
-0.03363037109375,
-0.0158233642578125,
0.025634765625,
-0.0117950439453125,
0.0239105224609375,
0.0277557373046875,
0.08447265625,
0.0039215087890625,
-0.0157012939453125,
0.028350830078125,
-0.01261138916015625,
-0.0304107666015625,
-0.03240966796875,
0.01502227783203125,
-0.01107025146484375,
0.00801849365234375,
0.01007843017578125,
0.028228759765625,
-0.006591796875,
-0.004913330078125,
0.01114654541015625,
0.0133209228515625,
-0.0288848876953125,
-0.0199127197265625,
0.055755615234375,
0.0185394287109375,
-0.019805908203125,
0.06695556640625,
-0.00656890869140625,
-0.01549530029296875,
0.054046630859375,
0.03839111328125,
0.060333251953125,
-0.005123138427734375,
0.00003713369369506836,
0.06353759765625,
0.00981903076171875,
-0.0104827880859375,
0.031280517578125,
0.0014591217041015625,
-0.047821044921875,
-0.024810791015625,
-0.05133056640625,
-0.0297393798828125,
0.042236328125,
-0.08856201171875,
0.0269927978515625,
-0.048980712890625,
-0.029022216796875,
0.029266357421875,
-0.00399017333984375,
-0.07806396484375,
0.04669189453125,
0.018157958984375,
0.08673095703125,
-0.06524658203125,
0.07525634765625,
0.051544189453125,
-0.03851318359375,
-0.0648193359375,
-0.01067352294921875,
-0.0293731689453125,
-0.0726318359375,
0.05987548828125,
-0.0036296844482421875,
0.0289459228515625,
0.00620269775390625,
-0.05291748046875,
-0.047119140625,
0.05462646484375,
0.0175018310546875,
-0.057281494140625,
-0.00528717041015625,
0.006244659423828125,
0.059234619140625,
-0.0140838623046875,
0.045562744140625,
0.01806640625,
0.0201568603515625,
0.01216888427734375,
-0.067626953125,
-0.02587890625,
-0.0271759033203125,
0.01502227783203125,
0.006866455078125,
-0.038726806640625,
0.0675048828125,
-0.0006041526794433594,
0.03668212890625,
0.0205078125,
0.050811767578125,
0.003612518310546875,
0.0012960433959960938,
0.0250091552734375,
0.0657958984375,
0.04559326171875,
-0.00736236572265625,
0.08416748046875,
-0.04559326171875,
0.05609130859375,
0.09051513671875,
-0.003170013427734375,
0.056243896484375,
0.020751953125,
-0.0160369873046875,
0.020416259765625,
0.06072998046875,
-0.041839599609375,
0.041595458984375,
0.0216522216796875,
0.0010356903076171875,
-0.036590576171875,
0.0186614990234375,
-0.04888916015625,
0.025299072265625,
0.001972198486328125,
-0.055206298828125,
-0.0279998779296875,
-0.01291656494140625,
-0.0099029541015625,
-0.01406097412109375,
-0.0296173095703125,
0.033660888671875,
-0.037445068359375,
-0.03155517578125,
0.057037353515625,
0.0031337738037109375,
0.0272064208984375,
-0.056243896484375,
-0.00127410888671875,
0.007793426513671875,
0.035308837890625,
-0.01094818115234375,
-0.04730224609375,
0.01558685302734375,
-0.00197601318359375,
-0.0186309814453125,
-0.003204345703125,
0.047271728515625,
-0.0226287841796875,
-0.06256103515625,
0.01345062255859375,
0.031280517578125,
0.0292205810546875,
0.007350921630859375,
-0.08856201171875,
0.0007367134094238281,
-0.006725311279296875,
-0.0279388427734375,
0.0196380615234375,
0.007198333740234375,
0.018768310546875,
0.034271240234375,
0.042999267578125,
0.00016748905181884766,
0.002582550048828125,
0.0184326171875,
0.071044921875,
-0.04345703125,
-0.032562255859375,
-0.055755615234375,
0.0278778076171875,
-0.020263671875,
-0.06207275390625,
0.039886474609375,
0.0684814453125,
0.07818603515625,
-0.0265045166015625,
0.04742431640625,
-0.0021419525146484375,
0.03472900390625,
-0.0268096923828125,
0.053619384765625,
-0.029144287109375,
-0.01482391357421875,
-0.0179595947265625,
-0.0615234375,
0.0026836395263671875,
0.061767578125,
-0.0180816650390625,
0.0109100341796875,
0.0294036865234375,
0.04278564453125,
0.0007734298706054688,
0.0111541748046875,
0.021636962890625,
-0.005733489990234375,
0.0162811279296875,
0.029022216796875,
0.03399658203125,
-0.058135986328125,
0.03265380859375,
-0.049102783203125,
-0.00814056396484375,
-0.0107574462890625,
-0.048583984375,
-0.0772705078125,
-0.021148681640625,
-0.036590576171875,
-0.03857421875,
0.0175323486328125,
0.07476806640625,
0.057891845703125,
-0.046051025390625,
-0.0307464599609375,
0.00391387939453125,
-0.0245513916015625,
-0.03155517578125,
-0.0128326416015625,
0.039154052734375,
-0.032958984375,
-0.056182861328125,
-0.0037899017333984375,
-0.0276947021484375,
0.0181884765625,
-0.0094757080078125,
-0.023406982421875,
-0.0215301513671875,
-0.026153564453125,
0.0167083740234375,
0.0027790069580078125,
-0.037322998046875,
-0.029510498046875,
-0.017669677734375,
-0.01113128662109375,
0.0172576904296875,
0.01654052734375,
-0.046844482421875,
0.04150390625,
0.01324462890625,
0.029022216796875,
0.05401611328125,
-0.007244110107421875,
0.023162841796875,
-0.052215576171875,
0.021453857421875,
0.0137939453125,
0.0286865234375,
0.004669189453125,
-0.0218048095703125,
0.039459228515625,
0.03155517578125,
-0.039031982421875,
-0.049163818359375,
-0.0195770263671875,
-0.0784912109375,
0.006305694580078125,
0.07440185546875,
-0.00949859619140625,
-0.040985107421875,
0.03155517578125,
-0.01593017578125,
0.0335693359375,
-0.0234527587890625,
0.04156494140625,
0.058258056640625,
-0.00923919677734375,
0.01210784912109375,
-0.033355712890625,
0.03253173828125,
0.0289459228515625,
-0.045623779296875,
-0.0133819580078125,
0.0234832763671875,
0.026123046875,
0.005023956298828125,
0.0201263427734375,
0.0004382133483886719,
0.032135009765625,
-0.0004315376281738281,
0.042327880859375,
-0.0263214111328125,
-0.022308349609375,
-0.0215911865234375,
0.007343292236328125,
0.0095977783203125,
-0.042327880859375
]
] |
gokuls/HBERTv1_48_L8_H64_A2 | 2023-10-02T06:25:23.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L8_H64_A2 | 0 | 2 | transformers | 2023-09-29T23:17:24 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L8_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.14835266008978437
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L8_H64_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1187
- Accuracy: 0.1484
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 124
- eval_batch_size: 124
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,588 | [
[
-0.0310516357421875,
-0.0506591796875,
0.0063323974609375,
0.0116424560546875,
-0.03302001953125,
-0.033966064453125,
-0.0246734619140625,
-0.028167724609375,
0.006923675537109375,
0.01496124267578125,
-0.048858642578125,
-0.0362548828125,
-0.042236328125,
-0.0162506103515625,
-0.021514892578125,
0.1016845703125,
0.01045989990234375,
0.0310821533203125,
-0.009857177734375,
0.00768280029296875,
-0.0142059326171875,
-0.051300048828125,
-0.0643310546875,
-0.0552978515625,
0.034912109375,
-0.0009889602661132812,
0.072021484375,
0.06402587890625,
0.051300048828125,
0.0167694091796875,
-0.032745361328125,
-0.0145721435546875,
-0.05023193359375,
-0.025054931640625,
0.004852294921875,
-0.0259857177734375,
-0.05462646484375,
-0.00360870361328125,
0.058349609375,
0.0225372314453125,
-0.0254058837890625,
0.03289794921875,
0.01397705078125,
0.03271484375,
-0.032135009765625,
0.0259857177734375,
-0.039764404296875,
0.0223541259765625,
-0.01258087158203125,
-0.0125732421875,
-0.03521728515625,
-0.0081939697265625,
0.0120086669921875,
-0.0380859375,
0.044677734375,
-0.00916290283203125,
0.101318359375,
0.0271759033203125,
0.009246826171875,
0.009368896484375,
-0.0648193359375,
0.040557861328125,
-0.054229736328125,
0.02001953125,
0.0293426513671875,
0.046234130859375,
-0.0013418197631835938,
-0.059173583984375,
-0.03546142578125,
-0.01006317138671875,
0.004230499267578125,
0.019134521484375,
-0.00432586669921875,
0.004970550537109375,
0.049957275390625,
0.0245513916015625,
-0.033111572265625,
0.01258087158203125,
-0.04119873046875,
-0.013458251953125,
0.047454833984375,
0.0255279541015625,
-0.0108642578125,
-0.0168914794921875,
-0.032135009765625,
-0.0277862548828125,
-0.028594970703125,
0.0151824951171875,
0.0509033203125,
0.02276611328125,
-0.02764892578125,
0.040374755859375,
0.000028073787689208984,
0.06182861328125,
0.0016384124755859375,
-0.002704620361328125,
0.0391845703125,
-0.0055694580078125,
-0.035400390625,
-0.01415252685546875,
0.062103271484375,
0.031524658203125,
0.0283050537109375,
-0.0007462501525878906,
-0.024169921875,
-0.0234527587890625,
0.041656494140625,
-0.05841064453125,
-0.037445068359375,
0.0004220008850097656,
-0.05682373046875,
-0.04107666015625,
-0.003498077392578125,
-0.039642333984375,
0.00943756103515625,
-0.037872314453125,
0.04132080078125,
-0.04803466796875,
-0.0091094970703125,
-0.00182342529296875,
-0.015777587890625,
0.0260467529296875,
0.0194549560546875,
-0.06365966796875,
0.0207977294921875,
0.0263519287109375,
0.03228759765625,
0.0171661376953125,
-0.031585693359375,
-0.005374908447265625,
0.0016393661499023438,
-0.0236663818359375,
0.033966064453125,
-0.023223876953125,
-0.0283966064453125,
-0.0004513263702392578,
0.005229949951171875,
-0.00907135009765625,
-0.0280609130859375,
0.0706787109375,
-0.029083251953125,
0.01483917236328125,
-0.020416259765625,
-0.056304931640625,
-0.00848388671875,
0.0181427001953125,
-0.049957275390625,
0.08795166015625,
0.00539398193359375,
-0.049072265625,
0.042938232421875,
-0.048004150390625,
-0.012176513671875,
0.022674560546875,
-0.006816864013671875,
-0.06072998046875,
0.0034313201904296875,
0.00841522216796875,
0.039581298828125,
-0.0057220458984375,
0.03131103515625,
-0.03509521484375,
-0.045257568359375,
-0.0032520294189453125,
-0.037628173828125,
0.056121826171875,
0.0092010498046875,
-0.02117919921875,
0.0212554931640625,
-0.0814208984375,
0.0219573974609375,
0.0239715576171875,
-0.0423583984375,
0.008880615234375,
-0.0012121200561523438,
0.039459228515625,
0.0125732421875,
0.0272216796875,
-0.04534912109375,
0.00966644287109375,
-0.0231170654296875,
0.0119171142578125,
0.05389404296875,
-0.0137176513671875,
-0.0056915283203125,
-0.029693603515625,
0.0046539306640625,
-0.0029850006103515625,
0.044189453125,
0.0220947265625,
-0.0438232421875,
-0.06195068359375,
-0.02740478515625,
0.0287322998046875,
0.01959228515625,
-0.0305328369140625,
0.0728759765625,
-0.01026153564453125,
-0.06890869140625,
-0.03582763671875,
0.0092010498046875,
0.03466796875,
0.045013427734375,
0.039276123046875,
-0.005245208740234375,
-0.027435302734375,
-0.08416748046875,
0.006313323974609375,
-0.005786895751953125,
0.00888824462890625,
0.016845703125,
0.0498046875,
-0.00453948974609375,
0.060333251953125,
-0.0281524658203125,
-0.00682830810546875,
-0.018035888671875,
0.00380706787109375,
0.0325927734375,
0.0655517578125,
0.05584716796875,
-0.0357666015625,
-0.0173492431640625,
-0.024139404296875,
-0.0643310546875,
0.034912109375,
-0.0081939697265625,
-0.026153564453125,
-0.00832366943359375,
0.01520538330078125,
-0.0345458984375,
0.053955078125,
0.013671875,
-0.0073699951171875,
0.05072021484375,
-0.05059814453125,
-0.0248870849609375,
-0.06781005859375,
0.0193328857421875,
0.01690673828125,
0.001956939697265625,
-0.02374267578125,
0.0085296630859375,
0.0154571533203125,
-0.018157958984375,
-0.032623291015625,
0.03680419921875,
0.0036678314208984375,
0.003978729248046875,
-0.01393890380859375,
-0.03192138671875,
-0.00807952880859375,
0.0587158203125,
0.0203094482421875,
0.035400390625,
0.049835205078125,
-0.0509033203125,
0.039093017578125,
0.042449951171875,
-0.0301971435546875,
0.0310821533203125,
-0.07855224609375,
0.00963592529296875,
-0.00907135009765625,
0.00827789306640625,
-0.0574951171875,
-0.02197265625,
0.040618896484375,
-0.035614013671875,
0.0234832763671875,
-0.007480621337890625,
-0.047698974609375,
-0.0439453125,
-0.00897979736328125,
0.0128173828125,
0.048431396484375,
-0.06146240234375,
0.0345458984375,
-0.01114654541015625,
0.022308349609375,
-0.040771484375,
-0.049591064453125,
-0.02203369140625,
0.0029926300048828125,
-0.0302581787109375,
0.021148681640625,
-0.021270751953125,
0.022430419921875,
0.00806427001953125,
0.0128021240234375,
-0.02008056640625,
-0.004344940185546875,
0.0208282470703125,
0.038665771484375,
-0.0037174224853515625,
0.0163726806640625,
0.0017900466918945312,
-0.0022563934326171875,
0.0213775634765625,
0.0121307373046875,
0.03802490234375,
-0.0067596435546875,
-0.0201263427734375,
-0.05609130859375,
-0.00830841064453125,
0.02996826171875,
-0.0098419189453125,
0.0672607421875,
0.06884765625,
-0.04315185546875,
0.00203704833984375,
-0.0286407470703125,
-0.002716064453125,
-0.030731201171875,
0.036041259765625,
-0.037872314453125,
-0.0092010498046875,
0.04327392578125,
0.0237274169921875,
0.01544189453125,
0.065185546875,
0.048828125,
-0.005870819091796875,
0.0833740234375,
0.0274658203125,
-0.01065826416015625,
0.032470703125,
-0.049285888671875,
-0.01084136962890625,
-0.057281494140625,
-0.033843994140625,
-0.040130615234375,
-0.0261383056640625,
-0.041748046875,
0.001689910888671875,
0.0132293701171875,
0.0086669921875,
-0.04052734375,
0.023529052734375,
-0.04461669921875,
0.030792236328125,
0.059722900390625,
0.0458984375,
-0.019866943359375,
0.01448822021484375,
-0.01500701904296875,
-0.0032176971435546875,
-0.0662841796875,
-0.033203125,
0.10333251953125,
0.04388427734375,
0.05224609375,
-0.01143646240234375,
0.054412841796875,
0.006381988525390625,
0.01360321044921875,
-0.034515380859375,
0.037872314453125,
0.0004563331604003906,
-0.0701904296875,
-0.02716064453125,
-0.018463134765625,
-0.052337646484375,
0.00859832763671875,
-0.040771484375,
-0.040252685546875,
0.0030612945556640625,
0.0193328857421875,
-0.03045654296875,
0.03125,
-0.042999267578125,
0.0823974609375,
-0.022613525390625,
-0.0357666015625,
-0.02252197265625,
-0.04937744140625,
0.00904083251953125,
0.004825592041015625,
-0.03033447265625,
0.0010557174682617188,
0.02484130859375,
0.0765380859375,
-0.04144287109375,
0.0540771484375,
-0.03643798828125,
0.0220794677734375,
0.02685546875,
-0.035125732421875,
0.03985595703125,
0.004314422607421875,
-0.0223236083984375,
0.017364501953125,
-0.005779266357421875,
-0.05230712890625,
-0.024078369140625,
0.048675537109375,
-0.09466552734375,
-0.00299072265625,
-0.03228759765625,
-0.038482666015625,
-0.00539398193359375,
0.01013946533203125,
0.044342041015625,
0.051055908203125,
-0.024688720703125,
0.01448822021484375,
0.042022705078125,
-0.00682830810546875,
0.038604736328125,
0.0150146484375,
0.001220703125,
-0.03179931640625,
0.0660400390625,
-0.0057525634765625,
0.0048370361328125,
-0.00914764404296875,
0.0081024169921875,
-0.032501220703125,
-0.038970947265625,
-0.043182373046875,
0.02203369140625,
-0.05682373046875,
-0.01036834716796875,
-0.01934814453125,
-0.044464111328125,
-0.0240936279296875,
0.008636474609375,
-0.0287017822265625,
-0.004337310791015625,
-0.039306640625,
-0.0095062255859375,
0.0171966552734375,
0.04412841796875,
-0.005390167236328125,
0.0545654296875,
-0.046844482421875,
0.004222869873046875,
0.01174163818359375,
0.041107177734375,
0.009307861328125,
-0.05804443359375,
-0.038665771484375,
0.005374908447265625,
-0.022430419921875,
-0.031646728515625,
0.0293426513671875,
0.01470947265625,
0.0562744140625,
0.033966064453125,
-0.01403045654296875,
0.0638427734375,
-0.03179931640625,
0.0562744140625,
0.021240234375,
-0.040313720703125,
0.02862548828125,
-0.019683837890625,
0.025787353515625,
0.041534423828125,
0.04022216796875,
0.00946807861328125,
-0.01232147216796875,
-0.0950927734375,
-0.051483154296875,
0.06195068359375,
0.026031494140625,
0.021636962890625,
0.0042572021484375,
0.0379638671875,
0.003330230712890625,
0.016082763671875,
-0.05706787109375,
-0.033782958984375,
-0.0238800048828125,
-0.0118255615234375,
-0.01216888427734375,
-0.03289794921875,
-0.013458251953125,
-0.0537109375,
0.08441162109375,
0.005767822265625,
0.04083251953125,
0.0076141357421875,
0.008514404296875,
-0.019073486328125,
-0.0086517333984375,
0.041259765625,
0.05401611328125,
-0.061370849609375,
-0.0294952392578125,
0.003871917724609375,
-0.03411865234375,
-0.0163116455078125,
0.0267333984375,
-0.01186370849609375,
0.0235443115234375,
0.0267181396484375,
0.08447265625,
0.0038776397705078125,
-0.0162506103515625,
0.027923583984375,
-0.0133209228515625,
-0.0290679931640625,
-0.0325927734375,
0.01505279541015625,
-0.01019287109375,
0.00875091552734375,
0.0103759765625,
0.028289794921875,
-0.007205963134765625,
-0.004730224609375,
0.01114654541015625,
0.0145111083984375,
-0.0283660888671875,
-0.0197296142578125,
0.056732177734375,
0.0182037353515625,
-0.0196990966796875,
0.0672607421875,
-0.00574493408203125,
-0.01522064208984375,
0.05401611328125,
0.038177490234375,
0.059783935546875,
-0.005863189697265625,
0.00006568431854248047,
0.06317138671875,
0.00949859619140625,
-0.0101470947265625,
0.032379150390625,
0.0007300376892089844,
-0.047637939453125,
-0.025054931640625,
-0.05224609375,
-0.02911376953125,
0.04217529296875,
-0.08734130859375,
0.0276336669921875,
-0.049102783203125,
-0.029388427734375,
0.0287017822265625,
-0.003414154052734375,
-0.07763671875,
0.046722412109375,
0.0185394287109375,
0.08648681640625,
-0.0654296875,
0.07568359375,
0.05181884765625,
-0.0380859375,
-0.06451416015625,
-0.01183319091796875,
-0.029815673828125,
-0.0723876953125,
0.05908203125,
-0.0029392242431640625,
0.0286407470703125,
0.00616455078125,
-0.052337646484375,
-0.047088623046875,
0.054718017578125,
0.018218994140625,
-0.057647705078125,
-0.005046844482421875,
0.006137847900390625,
0.0592041015625,
-0.01385498046875,
0.04583740234375,
0.0181427001953125,
0.020050048828125,
0.01183319091796875,
-0.06756591796875,
-0.025787353515625,
-0.028167724609375,
0.0153961181640625,
0.007030487060546875,
-0.038604736328125,
0.06756591796875,
-0.00014972686767578125,
0.0369873046875,
0.0207672119140625,
0.0509033203125,
0.005184173583984375,
0.0007662773132324219,
0.0256195068359375,
0.06597900390625,
0.04595947265625,
-0.007354736328125,
0.08447265625,
-0.0455322265625,
0.055633544921875,
0.091064453125,
-0.002864837646484375,
0.055908203125,
0.0208740234375,
-0.0163421630859375,
0.0206146240234375,
0.061065673828125,
-0.04119873046875,
0.041473388671875,
0.0217132568359375,
0.0006866455078125,
-0.036041259765625,
0.017913818359375,
-0.048980712890625,
0.024688720703125,
0.0026531219482421875,
-0.055145263671875,
-0.02801513671875,
-0.01300811767578125,
-0.00994110107421875,
-0.014739990234375,
-0.0298919677734375,
0.033843994140625,
-0.037841796875,
-0.031829833984375,
0.056060791015625,
0.002941131591796875,
0.0272979736328125,
-0.0570068359375,
-0.0012388229370117188,
0.0075836181640625,
0.034637451171875,
-0.01049041748046875,
-0.047210693359375,
0.0152740478515625,
-0.0015106201171875,
-0.01800537109375,
-0.00295257568359375,
0.047515869140625,
-0.0227813720703125,
-0.0625,
0.01313018798828125,
0.03057861328125,
0.029449462890625,
0.00666046142578125,
-0.08837890625,
0.0011682510375976562,
-0.007465362548828125,
-0.0276336669921875,
0.019866943359375,
0.007518768310546875,
0.0181427001953125,
0.03363037109375,
0.0433349609375,
0.00011277198791503906,
0.0030765533447265625,
0.018768310546875,
0.0718994140625,
-0.04315185546875,
-0.03302001953125,
-0.055633544921875,
0.0283050537109375,
-0.0207672119140625,
-0.06146240234375,
0.03973388671875,
0.069091796875,
0.07708740234375,
-0.026336669921875,
0.0472412109375,
-0.0026683807373046875,
0.034515380859375,
-0.0269622802734375,
0.053436279296875,
-0.02874755859375,
-0.014678955078125,
-0.0183563232421875,
-0.06182861328125,
0.0021572113037109375,
0.062164306640625,
-0.0183868408203125,
0.01104736328125,
0.028533935546875,
0.043182373046875,
0.0006451606750488281,
0.01221466064453125,
0.0213623046875,
-0.005886077880859375,
0.0163726806640625,
0.02947998046875,
0.034637451171875,
-0.057403564453125,
0.0328369140625,
-0.0484619140625,
-0.007781982421875,
-0.0108795166015625,
-0.048828125,
-0.07733154296875,
-0.02203369140625,
-0.0364990234375,
-0.037994384765625,
0.0171661376953125,
0.074462890625,
0.05828857421875,
-0.04656982421875,
-0.0300750732421875,
0.0032596588134765625,
-0.0246429443359375,
-0.031402587890625,
-0.01258087158203125,
0.03955078125,
-0.03302001953125,
-0.056976318359375,
-0.003055572509765625,
-0.0272979736328125,
0.0177764892578125,
-0.00984954833984375,
-0.0229949951171875,
-0.0218353271484375,
-0.026214599609375,
0.0157318115234375,
0.0022449493408203125,
-0.037384033203125,
-0.0296478271484375,
-0.01824951171875,
-0.01093292236328125,
0.0167083740234375,
0.0169219970703125,
-0.046844482421875,
0.042083740234375,
0.01324462890625,
0.0292510986328125,
0.05438232421875,
-0.007472991943359375,
0.0231475830078125,
-0.052886962890625,
0.0211181640625,
0.01348876953125,
0.0292510986328125,
0.00551605224609375,
-0.0229034423828125,
0.0399169921875,
0.0302734375,
-0.039154052734375,
-0.0489501953125,
-0.02001953125,
-0.0787353515625,
0.00568389892578125,
0.07415771484375,
-0.00940704345703125,
-0.041046142578125,
0.0306854248046875,
-0.0157623291015625,
0.033843994140625,
-0.0238189697265625,
0.041961669921875,
0.058013916015625,
-0.00887298583984375,
0.01221466064453125,
-0.032989501953125,
0.03143310546875,
0.029266357421875,
-0.045379638671875,
-0.0133514404296875,
0.02410888671875,
0.0267181396484375,
0.005626678466796875,
0.020263671875,
-0.00002568960189819336,
0.03192138671875,
-0.00039839744567871094,
0.04193115234375,
-0.0270538330078125,
-0.0223388671875,
-0.02154541015625,
0.007541656494140625,
0.008636474609375,
-0.04241943359375
]
] |
gokuls/HBERTv1_48_L6_H512_A8 | 2023-10-02T07:03:53.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L6_H512_A8 | 0 | 2 | transformers | 2023-09-29T23:48:01 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L6_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.4395152980895591
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L6_H512_A8
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2310
- Accuracy: 0.4395
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,587 | [
[
-0.0307464599609375,
-0.049530029296875,
0.006031036376953125,
0.01184844970703125,
-0.032806396484375,
-0.033294677734375,
-0.0239715576171875,
-0.0268707275390625,
0.006862640380859375,
0.01476287841796875,
-0.049530029296875,
-0.037139892578125,
-0.042388916015625,
-0.01593017578125,
-0.021392822265625,
0.10009765625,
0.01027679443359375,
0.0305023193359375,
-0.0099029541015625,
0.00719451904296875,
-0.0142822265625,
-0.05230712890625,
-0.06365966796875,
-0.055999755859375,
0.035369873046875,
0.00021839141845703125,
0.07244873046875,
0.06561279296875,
0.052001953125,
0.0158843994140625,
-0.0323486328125,
-0.01503753662109375,
-0.04974365234375,
-0.024932861328125,
0.004894256591796875,
-0.026702880859375,
-0.054840087890625,
-0.002620697021484375,
0.058197021484375,
0.0216522216796875,
-0.025787353515625,
0.033233642578125,
0.013427734375,
0.032928466796875,
-0.033538818359375,
0.0265045166015625,
-0.03851318359375,
0.0234222412109375,
-0.01290130615234375,
-0.01395416259765625,
-0.03533935546875,
-0.00909423828125,
0.01280975341796875,
-0.0390625,
0.044586181640625,
-0.00823211669921875,
0.10235595703125,
0.0268707275390625,
0.0096893310546875,
0.00832366943359375,
-0.06524658203125,
0.040740966796875,
-0.055206298828125,
0.0202178955078125,
0.0294342041015625,
0.04681396484375,
-0.0004563331604003906,
-0.05828857421875,
-0.03546142578125,
-0.00970458984375,
0.0038299560546875,
0.018798828125,
-0.00392913818359375,
0.00540924072265625,
0.051055908203125,
0.0232696533203125,
-0.033203125,
0.01320648193359375,
-0.041656494140625,
-0.01409912109375,
0.04827880859375,
0.024993896484375,
-0.01206207275390625,
-0.0165252685546875,
-0.031951904296875,
-0.028564453125,
-0.0304412841796875,
0.01486968994140625,
0.051544189453125,
0.0211639404296875,
-0.0275115966796875,
0.040069580078125,
-0.0001569986343383789,
0.061981201171875,
0.0015497207641601562,
-0.004314422607421875,
0.040618896484375,
-0.0050048828125,
-0.03460693359375,
-0.01290130615234375,
0.06256103515625,
0.0308990478515625,
0.0289154052734375,
-0.0001323223114013672,
-0.0233001708984375,
-0.025299072265625,
0.041778564453125,
-0.057647705078125,
-0.03790283203125,
-0.0001500844955444336,
-0.056793212890625,
-0.04193115234375,
-0.003116607666015625,
-0.039154052734375,
0.00952911376953125,
-0.037445068359375,
0.041595458984375,
-0.04632568359375,
-0.0084381103515625,
-0.002346038818359375,
-0.0167083740234375,
0.0267333984375,
0.0198211669921875,
-0.06341552734375,
0.020782470703125,
0.0255279541015625,
0.031097412109375,
0.0170135498046875,
-0.03302001953125,
-0.005138397216796875,
0.0027523040771484375,
-0.02392578125,
0.033416748046875,
-0.0225982666015625,
-0.0278778076171875,
-0.00020956993103027344,
0.005115509033203125,
-0.00849151611328125,
-0.029266357421875,
0.070556640625,
-0.029388427734375,
0.0146636962890625,
-0.020477294921875,
-0.055908203125,
-0.00926971435546875,
0.0177459716796875,
-0.04974365234375,
0.08795166015625,
0.005157470703125,
-0.048919677734375,
0.043548583984375,
-0.04791259765625,
-0.01165771484375,
0.02197265625,
-0.00624847412109375,
-0.06005859375,
0.0030002593994140625,
0.0080718994140625,
0.039581298828125,
-0.005382537841796875,
0.0297393798828125,
-0.03546142578125,
-0.045379638671875,
-0.003177642822265625,
-0.037933349609375,
0.055999755859375,
0.0079498291015625,
-0.020721435546875,
0.020782470703125,
-0.08087158203125,
0.0224151611328125,
0.0235137939453125,
-0.041717529296875,
0.00965118408203125,
-0.0006327629089355469,
0.038665771484375,
0.01302337646484375,
0.0259246826171875,
-0.045257568359375,
0.0089569091796875,
-0.0241851806640625,
0.01146697998046875,
0.053985595703125,
-0.01322174072265625,
-0.005809783935546875,
-0.0289459228515625,
0.00514984130859375,
-0.0033245086669921875,
0.043487548828125,
0.022003173828125,
-0.043487548828125,
-0.06304931640625,
-0.025390625,
0.0288238525390625,
0.021026611328125,
-0.0299835205078125,
0.07373046875,
-0.01042938232421875,
-0.06842041015625,
-0.036407470703125,
0.01013946533203125,
0.03472900390625,
0.04498291015625,
0.039642333984375,
-0.005733489990234375,
-0.0276947021484375,
-0.0843505859375,
0.006023406982421875,
-0.00653076171875,
0.0094146728515625,
0.016571044921875,
0.04949951171875,
-0.0031528472900390625,
0.061065673828125,
-0.0286712646484375,
-0.006988525390625,
-0.0185394287109375,
0.00394439697265625,
0.03155517578125,
0.06512451171875,
0.055145263671875,
-0.035369873046875,
-0.0168914794921875,
-0.024810791015625,
-0.06585693359375,
0.0343017578125,
-0.00707244873046875,
-0.0269775390625,
-0.008697509765625,
0.0157928466796875,
-0.033355712890625,
0.05499267578125,
0.0140228271484375,
-0.006229400634765625,
0.050750732421875,
-0.050994873046875,
-0.024688720703125,
-0.06719970703125,
0.019195556640625,
0.017852783203125,
0.0026912689208984375,
-0.0241241455078125,
0.00833892822265625,
0.015716552734375,
-0.017608642578125,
-0.034454345703125,
0.036773681640625,
0.002719879150390625,
0.0036678314208984375,
-0.0146636962890625,
-0.031890869140625,
-0.00738525390625,
0.05841064453125,
0.0204315185546875,
0.03460693359375,
0.049407958984375,
-0.051666259765625,
0.041259765625,
0.042144775390625,
-0.029632568359375,
0.030029296875,
-0.07843017578125,
0.00926971435546875,
-0.0091705322265625,
0.0080108642578125,
-0.056793212890625,
-0.0217132568359375,
0.040924072265625,
-0.035888671875,
0.022857666015625,
-0.007205963134765625,
-0.04718017578125,
-0.04534912109375,
-0.007610321044921875,
0.0141448974609375,
0.049163818359375,
-0.061370849609375,
0.032928466796875,
-0.01197052001953125,
0.023162841796875,
-0.040802001953125,
-0.04998779296875,
-0.0218353271484375,
0.003139495849609375,
-0.0294952392578125,
0.020477294921875,
-0.020782470703125,
0.0229644775390625,
0.00823211669921875,
0.0124969482421875,
-0.020843505859375,
-0.004383087158203125,
0.0200042724609375,
0.037994384765625,
-0.003887176513671875,
0.0167999267578125,
0.0017404556274414062,
-0.0030765533447265625,
0.0222930908203125,
0.0118865966796875,
0.03717041015625,
-0.00470733642578125,
-0.020965576171875,
-0.05780029296875,
-0.00897979736328125,
0.0296478271484375,
-0.0102386474609375,
0.0662841796875,
0.0692138671875,
-0.043304443359375,
0.0026836395263671875,
-0.028961181640625,
-0.0021991729736328125,
-0.0306549072265625,
0.03594970703125,
-0.037750244140625,
-0.00861358642578125,
0.04193115234375,
0.024871826171875,
0.0150299072265625,
0.06561279296875,
0.049102783203125,
-0.00664520263671875,
0.0830078125,
0.0275115966796875,
-0.01085662841796875,
0.03131103515625,
-0.048980712890625,
-0.01013946533203125,
-0.057281494140625,
-0.03387451171875,
-0.040130615234375,
-0.0262451171875,
-0.04144287109375,
0.0023784637451171875,
0.013671875,
0.00823974609375,
-0.039794921875,
0.0244598388671875,
-0.043853759765625,
0.0310821533203125,
0.059844970703125,
0.046142578125,
-0.0193023681640625,
0.01529693603515625,
-0.01337432861328125,
-0.004058837890625,
-0.06695556640625,
-0.03271484375,
0.10333251953125,
0.043914794921875,
0.053009033203125,
-0.011962890625,
0.055145263671875,
0.007671356201171875,
0.01413726806640625,
-0.03607177734375,
0.03668212890625,
0.0011768341064453125,
-0.069580078125,
-0.0275726318359375,
-0.0177154541015625,
-0.051666259765625,
0.00801849365234375,
-0.04052734375,
-0.03924560546875,
0.0037212371826171875,
0.0212554931640625,
-0.0300750732421875,
0.0307464599609375,
-0.04229736328125,
0.0830078125,
-0.0225982666015625,
-0.035430908203125,
-0.0220489501953125,
-0.048553466796875,
0.00850677490234375,
0.005390167236328125,
-0.0301971435546875,
0.0003566741943359375,
0.0247344970703125,
0.07745361328125,
-0.040802001953125,
0.053253173828125,
-0.03668212890625,
0.0208892822265625,
0.0276336669921875,
-0.034576416015625,
0.039154052734375,
0.0040130615234375,
-0.023040771484375,
0.016876220703125,
-0.00675201416015625,
-0.053009033203125,
-0.024749755859375,
0.0478515625,
-0.09429931640625,
-0.0034999847412109375,
-0.0322265625,
-0.036865234375,
-0.00519561767578125,
0.0087127685546875,
0.045928955078125,
0.050994873046875,
-0.024444580078125,
0.01422882080078125,
0.04156494140625,
-0.0059814453125,
0.038787841796875,
0.0142669677734375,
0.0022449493408203125,
-0.031341552734375,
0.06658935546875,
-0.004932403564453125,
0.005084991455078125,
-0.00865936279296875,
0.0086517333984375,
-0.032562255859375,
-0.039093017578125,
-0.043914794921875,
0.021270751953125,
-0.057342529296875,
-0.00994873046875,
-0.0189056396484375,
-0.044769287109375,
-0.0237274169921875,
0.0087127685546875,
-0.028961181640625,
-0.00408172607421875,
-0.03936767578125,
-0.00933837890625,
0.0163116455078125,
0.044281005859375,
-0.005321502685546875,
0.055389404296875,
-0.048126220703125,
0.00415802001953125,
0.01088714599609375,
0.040069580078125,
0.01021575927734375,
-0.058807373046875,
-0.04010009765625,
0.005908966064453125,
-0.0224761962890625,
-0.033294677734375,
0.029815673828125,
0.0149078369140625,
0.056640625,
0.034027099609375,
-0.01537322998046875,
0.06378173828125,
-0.031463623046875,
0.055694580078125,
0.0212860107421875,
-0.041107177734375,
0.029876708984375,
-0.018890380859375,
0.0253143310546875,
0.041778564453125,
0.04156494140625,
0.00859832763671875,
-0.01154327392578125,
-0.09521484375,
-0.050506591796875,
0.061767578125,
0.025726318359375,
0.0202789306640625,
0.006092071533203125,
0.038238525390625,
0.0027790069580078125,
0.016937255859375,
-0.057220458984375,
-0.03448486328125,
-0.023773193359375,
-0.01160430908203125,
-0.01316070556640625,
-0.031524658203125,
-0.01363372802734375,
-0.05487060546875,
0.083984375,
0.005825042724609375,
0.03985595703125,
0.00803375244140625,
0.0078887939453125,
-0.019378662109375,
-0.0088653564453125,
0.03973388671875,
0.05517578125,
-0.060821533203125,
-0.0298919677734375,
0.003589630126953125,
-0.03399658203125,
-0.01433563232421875,
0.024810791015625,
-0.0121612548828125,
0.0233612060546875,
0.0276031494140625,
0.08441162109375,
0.002872467041015625,
-0.01561737060546875,
0.028564453125,
-0.0117645263671875,
-0.030059814453125,
-0.0321044921875,
0.01580810546875,
-0.01160430908203125,
0.00717926025390625,
0.0104522705078125,
0.0274200439453125,
-0.005901336669921875,
-0.00518035888671875,
0.01092529296875,
0.0131072998046875,
-0.0291900634765625,
-0.0190582275390625,
0.055145263671875,
0.0186767578125,
-0.019500732421875,
0.06695556640625,
-0.007488250732421875,
-0.01605224609375,
0.054901123046875,
0.038116455078125,
0.060394287109375,
-0.005462646484375,
-0.0005083084106445312,
0.06390380859375,
0.0098876953125,
-0.0106658935546875,
0.0313720703125,
0.0017080307006835938,
-0.047882080078125,
-0.0246124267578125,
-0.051239013671875,
-0.030364990234375,
0.041229248046875,
-0.0882568359375,
0.027008056640625,
-0.049407958984375,
-0.0289459228515625,
0.0289459228515625,
-0.0038604736328125,
-0.07757568359375,
0.04718017578125,
0.0182037353515625,
0.08642578125,
-0.06610107421875,
0.07489013671875,
0.051544189453125,
-0.037750244140625,
-0.06414794921875,
-0.01068878173828125,
-0.028900146484375,
-0.0721435546875,
0.059967041015625,
-0.00418853759765625,
0.029388427734375,
0.00620269775390625,
-0.053070068359375,
-0.047393798828125,
0.05474853515625,
0.016632080078125,
-0.057220458984375,
-0.00583648681640625,
0.00579833984375,
0.05877685546875,
-0.0145721435546875,
0.04620361328125,
0.018798828125,
0.020416259765625,
0.01247406005859375,
-0.06793212890625,
-0.025238037109375,
-0.0270843505859375,
0.01537322998046875,
0.00653076171875,
-0.038909912109375,
0.0670166015625,
-0.0010347366333007812,
0.03692626953125,
0.020416259765625,
0.051239013671875,
0.003917694091796875,
0.00047707557678222656,
0.024505615234375,
0.0655517578125,
0.045501708984375,
-0.007167816162109375,
0.0831298828125,
-0.044891357421875,
0.05517578125,
0.09039306640625,
-0.0031375885009765625,
0.056243896484375,
0.0201568603515625,
-0.0159759521484375,
0.020721435546875,
0.06011962890625,
-0.04254150390625,
0.040191650390625,
0.0225372314453125,
0.0008807182312011719,
-0.036376953125,
0.0195159912109375,
-0.04901123046875,
0.0258026123046875,
0.0030059814453125,
-0.05560302734375,
-0.027984619140625,
-0.01287841796875,
-0.01026153564453125,
-0.01435089111328125,
-0.029052734375,
0.03411865234375,
-0.03790283203125,
-0.032012939453125,
0.056915283203125,
0.0035839080810546875,
0.027252197265625,
-0.055755615234375,
-0.0017824172973632812,
0.00814056396484375,
0.03460693359375,
-0.01189422607421875,
-0.047515869140625,
0.01538848876953125,
-0.002300262451171875,
-0.0182342529296875,
-0.002719879150390625,
0.047088623046875,
-0.022979736328125,
-0.06231689453125,
0.01268768310546875,
0.031707763671875,
0.029632568359375,
0.007083892822265625,
-0.08856201171875,
0.0011453628540039062,
-0.006771087646484375,
-0.0275726318359375,
0.0191650390625,
0.0074462890625,
0.018951416015625,
0.034423828125,
0.042388916015625,
0.0005960464477539062,
0.0027446746826171875,
0.018524169921875,
0.070556640625,
-0.044158935546875,
-0.032135009765625,
-0.055511474609375,
0.027130126953125,
-0.0204010009765625,
-0.06243896484375,
0.039825439453125,
0.06988525390625,
0.07757568359375,
-0.0262451171875,
0.048492431640625,
-0.0020809173583984375,
0.034393310546875,
-0.0267791748046875,
0.05364990234375,
-0.0285186767578125,
-0.01457977294921875,
-0.0175018310546875,
-0.062347412109375,
0.0024967193603515625,
0.061981201171875,
-0.0178985595703125,
0.01100921630859375,
0.0295867919921875,
0.04351806640625,
0.0005850791931152344,
0.01136016845703125,
0.020843505859375,
-0.00583648681640625,
0.0156402587890625,
0.0299224853515625,
0.034027099609375,
-0.05865478515625,
0.032501220703125,
-0.049102783203125,
-0.0086822509765625,
-0.01044464111328125,
-0.049102783203125,
-0.07696533203125,
-0.0202178955078125,
-0.03668212890625,
-0.038665771484375,
0.0185699462890625,
0.0748291015625,
0.05743408203125,
-0.045867919921875,
-0.03192138671875,
0.004047393798828125,
-0.0242156982421875,
-0.0308990478515625,
-0.01296234130859375,
0.039154052734375,
-0.032806396484375,
-0.055908203125,
-0.0034999847412109375,
-0.027374267578125,
0.0185089111328125,
-0.01024627685546875,
-0.02294921875,
-0.0213623046875,
-0.027069091796875,
0.015716552734375,
0.0035800933837890625,
-0.036773681640625,
-0.029327392578125,
-0.0179595947265625,
-0.01094818115234375,
0.0178375244140625,
0.0164031982421875,
-0.046966552734375,
0.04156494140625,
0.01366424560546875,
0.0279541015625,
0.05426025390625,
-0.007274627685546875,
0.0238494873046875,
-0.052703857421875,
0.021453857421875,
0.01416778564453125,
0.0276336669921875,
0.004993438720703125,
-0.0212860107421875,
0.03857421875,
0.031951904296875,
-0.03851318359375,
-0.04815673828125,
-0.0198822021484375,
-0.07794189453125,
0.00676727294921875,
0.07470703125,
-0.00910186767578125,
-0.04180908203125,
0.030364990234375,
-0.0158538818359375,
0.033203125,
-0.0236053466796875,
0.041107177734375,
0.058197021484375,
-0.0091094970703125,
0.01224517822265625,
-0.032867431640625,
0.033294677734375,
0.028228759765625,
-0.04583740234375,
-0.0128326416015625,
0.023406982421875,
0.0256195068359375,
0.00453948974609375,
0.0205535888671875,
0.0005040168762207031,
0.03271484375,
-0.0006670951843261719,
0.042816162109375,
-0.026153564453125,
-0.023223876953125,
-0.0214080810546875,
0.00738525390625,
0.00965118408203125,
-0.041717529296875
]
] |
gokuls/HBERTv1_48_L6_H256_A4 | 2023-10-02T06:59:25.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L6_H256_A4 | 0 | 2 | transformers | 2023-09-29T23:48:46 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L6_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.2230317071060231
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L6_H256_A4
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1892
- Accuracy: 0.2230
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 110
- eval_batch_size: 110
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,589 | [
[
-0.0301055908203125,
-0.04998779296875,
0.005481719970703125,
0.01111602783203125,
-0.032684326171875,
-0.03350830078125,
-0.0237884521484375,
-0.028289794921875,
0.007205963134765625,
0.01556396484375,
-0.049468994140625,
-0.03619384765625,
-0.04168701171875,
-0.0157928466796875,
-0.021697998046875,
0.1014404296875,
0.01104736328125,
0.0301513671875,
-0.00994873046875,
0.0080413818359375,
-0.014312744140625,
-0.052490234375,
-0.06268310546875,
-0.0560302734375,
0.0350341796875,
-0.0003612041473388672,
0.072509765625,
0.06475830078125,
0.052276611328125,
0.016082763671875,
-0.031829833984375,
-0.0151519775390625,
-0.049835205078125,
-0.0244903564453125,
0.00478363037109375,
-0.0262451171875,
-0.055084228515625,
-0.0020999908447265625,
0.05804443359375,
0.021240234375,
-0.0252685546875,
0.033294677734375,
0.0131683349609375,
0.032684326171875,
-0.032623291015625,
0.025970458984375,
-0.039398193359375,
0.0235748291015625,
-0.01273345947265625,
-0.0142364501953125,
-0.03521728515625,
-0.00958251953125,
0.0129852294921875,
-0.039031982421875,
0.04461669921875,
-0.00858306884765625,
0.1025390625,
0.0268707275390625,
0.009735107421875,
0.00757598876953125,
-0.06512451171875,
0.0411376953125,
-0.05487060546875,
0.0198211669921875,
0.02978515625,
0.047149658203125,
-0.0006132125854492188,
-0.059295654296875,
-0.034881591796875,
-0.0097503662109375,
0.003894805908203125,
0.0189056396484375,
-0.0030269622802734375,
0.00506591796875,
0.051025390625,
0.0244903564453125,
-0.032257080078125,
0.0130157470703125,
-0.0416259765625,
-0.01343536376953125,
0.048370361328125,
0.0251007080078125,
-0.010955810546875,
-0.0171661376953125,
-0.032196044921875,
-0.027984619140625,
-0.030120849609375,
0.016143798828125,
0.051239013671875,
0.021453857421875,
-0.0269927978515625,
0.040008544921875,
-0.00016641616821289062,
0.062255859375,
0.0017452239990234375,
-0.003692626953125,
0.040374755859375,
-0.006771087646484375,
-0.03497314453125,
-0.0140838623046875,
0.06182861328125,
0.030731201171875,
0.029388427734375,
-0.0009603500366210938,
-0.0240936279296875,
-0.0247344970703125,
0.04248046875,
-0.057647705078125,
-0.03826904296875,
-0.0003814697265625,
-0.056884765625,
-0.0419921875,
-0.003940582275390625,
-0.03985595703125,
0.0095672607421875,
-0.0377197265625,
0.04132080078125,
-0.04705810546875,
-0.008209228515625,
-0.0028171539306640625,
-0.0167999267578125,
0.026947021484375,
0.0196075439453125,
-0.0643310546875,
0.020721435546875,
0.0259552001953125,
0.030364990234375,
0.0172271728515625,
-0.032012939453125,
-0.005950927734375,
0.0016994476318359375,
-0.0240020751953125,
0.033447265625,
-0.0235595703125,
-0.0273284912109375,
0.0005002021789550781,
0.004253387451171875,
-0.00774383544921875,
-0.02862548828125,
0.07080078125,
-0.029815673828125,
0.0143585205078125,
-0.0210418701171875,
-0.0560302734375,
-0.0083160400390625,
0.0180206298828125,
-0.050201416015625,
0.08758544921875,
0.0054779052734375,
-0.049041748046875,
0.044158935546875,
-0.04779052734375,
-0.0115203857421875,
0.0224761962890625,
-0.0062255859375,
-0.060333251953125,
0.0026874542236328125,
0.008636474609375,
0.039459228515625,
-0.0057830810546875,
0.030029296875,
-0.035247802734375,
-0.045013427734375,
-0.00292205810546875,
-0.037567138671875,
0.0560302734375,
0.00861358642578125,
-0.020843505859375,
0.0215911865234375,
-0.0809326171875,
0.0227508544921875,
0.023040771484375,
-0.04248046875,
0.0092315673828125,
-0.0007762908935546875,
0.038177490234375,
0.012908935546875,
0.02703857421875,
-0.0447998046875,
0.00933074951171875,
-0.024017333984375,
0.0115814208984375,
0.05413818359375,
-0.01253509521484375,
-0.005588531494140625,
-0.0291900634765625,
0.0049285888671875,
-0.003261566162109375,
0.0439453125,
0.0213470458984375,
-0.04315185546875,
-0.0625,
-0.0261383056640625,
0.0290069580078125,
0.0197601318359375,
-0.029876708984375,
0.07293701171875,
-0.00994873046875,
-0.06793212890625,
-0.03680419921875,
0.01055145263671875,
0.034637451171875,
0.044464111328125,
0.0399169921875,
-0.0048980712890625,
-0.0277862548828125,
-0.084228515625,
0.005634307861328125,
-0.004840850830078125,
0.00958251953125,
0.0159454345703125,
0.0498046875,
-0.003353118896484375,
0.061187744140625,
-0.02783203125,
-0.0071868896484375,
-0.0181732177734375,
0.0041046142578125,
0.032073974609375,
0.06488037109375,
0.05572509765625,
-0.03521728515625,
-0.018096923828125,
-0.0250701904296875,
-0.0660400390625,
0.034393310546875,
-0.007396697998046875,
-0.02655029296875,
-0.0082855224609375,
0.0152740478515625,
-0.032928466796875,
0.05474853515625,
0.01383209228515625,
-0.006168365478515625,
0.0509033203125,
-0.05126953125,
-0.0250701904296875,
-0.06707763671875,
0.0187835693359375,
0.0181884765625,
0.002208709716796875,
-0.0245819091796875,
0.00951385498046875,
0.0156707763671875,
-0.0176849365234375,
-0.03289794921875,
0.035614013671875,
0.0017414093017578125,
0.002758026123046875,
-0.01349639892578125,
-0.031585693359375,
-0.00839996337890625,
0.058807373046875,
0.0196380615234375,
0.03497314453125,
0.049591064453125,
-0.05133056640625,
0.0408935546875,
0.04217529296875,
-0.029876708984375,
0.0301666259765625,
-0.0782470703125,
0.0092010498046875,
-0.00884246826171875,
0.00806427001953125,
-0.05670166015625,
-0.021453857421875,
0.040496826171875,
-0.03521728515625,
0.0221405029296875,
-0.00698089599609375,
-0.047882080078125,
-0.044830322265625,
-0.00818634033203125,
0.01334381103515625,
0.049774169921875,
-0.06201171875,
0.033355712890625,
-0.01171875,
0.02294921875,
-0.0406494140625,
-0.0491943359375,
-0.0220489501953125,
0.003078460693359375,
-0.029205322265625,
0.0202178955078125,
-0.0214385986328125,
0.022796630859375,
0.00785064697265625,
0.01212310791015625,
-0.02130126953125,
-0.004894256591796875,
0.01953125,
0.038055419921875,
-0.0032215118408203125,
0.0158843994140625,
0.0009083747863769531,
-0.0026798248291015625,
0.022186279296875,
0.012481689453125,
0.036834716796875,
-0.00516510009765625,
-0.02020263671875,
-0.05706787109375,
-0.009033203125,
0.0301055908203125,
-0.011138916015625,
0.06585693359375,
0.0682373046875,
-0.043121337890625,
0.00235748291015625,
-0.028533935546875,
-0.002658843994140625,
-0.0307464599609375,
0.035125732421875,
-0.0380859375,
-0.00855255126953125,
0.042236328125,
0.0250396728515625,
0.0164031982421875,
0.065185546875,
0.049072265625,
-0.006252288818359375,
0.08343505859375,
0.0269927978515625,
-0.0106658935546875,
0.0321044921875,
-0.048828125,
-0.00978851318359375,
-0.057281494140625,
-0.033843994140625,
-0.04046630859375,
-0.0261993408203125,
-0.041961669921875,
0.0025768280029296875,
0.0136871337890625,
0.00833892822265625,
-0.0391845703125,
0.02392578125,
-0.044158935546875,
0.030120849609375,
0.05963134765625,
0.0455322265625,
-0.01922607421875,
0.01505279541015625,
-0.01398468017578125,
-0.00444793701171875,
-0.06658935546875,
-0.0323486328125,
0.10333251953125,
0.044036865234375,
0.05255126953125,
-0.011383056640625,
0.0555419921875,
0.007358551025390625,
0.01422119140625,
-0.0355224609375,
0.036834716796875,
0.0012969970703125,
-0.0701904296875,
-0.0275726318359375,
-0.0175323486328125,
-0.052032470703125,
0.0084686279296875,
-0.04119873046875,
-0.039764404296875,
0.002960205078125,
0.0203094482421875,
-0.0299224853515625,
0.0299835205078125,
-0.04229736328125,
0.08184814453125,
-0.023193359375,
-0.0357666015625,
-0.02252197265625,
-0.04827880859375,
0.0089263916015625,
0.004283905029296875,
-0.030029296875,
0.0010938644409179688,
0.025390625,
0.07696533203125,
-0.040924072265625,
0.05401611328125,
-0.03582763671875,
0.020538330078125,
0.02783203125,
-0.035400390625,
0.039520263671875,
0.003864288330078125,
-0.0230560302734375,
0.016510009765625,
-0.006221771240234375,
-0.052703857421875,
-0.0241546630859375,
0.048004150390625,
-0.0946044921875,
-0.00356292724609375,
-0.032684326171875,
-0.03778076171875,
-0.005126953125,
0.0096893310546875,
0.045440673828125,
0.051513671875,
-0.0242156982421875,
0.0146331787109375,
0.04107666015625,
-0.006267547607421875,
0.038909912109375,
0.0145111083984375,
0.001628875732421875,
-0.031341552734375,
0.06610107421875,
-0.00461578369140625,
0.005123138427734375,
-0.0084686279296875,
0.0085906982421875,
-0.0328369140625,
-0.038543701171875,
-0.04248046875,
0.021240234375,
-0.057159423828125,
-0.009735107421875,
-0.0187835693359375,
-0.045074462890625,
-0.0238037109375,
0.00872039794921875,
-0.0280609130859375,
-0.0038299560546875,
-0.039154052734375,
-0.0091705322265625,
0.0163421630859375,
0.044921875,
-0.005443572998046875,
0.054656982421875,
-0.04779052734375,
0.00487518310546875,
0.012054443359375,
0.0404052734375,
0.0098724365234375,
-0.05804443359375,
-0.0400390625,
0.006153106689453125,
-0.0229034423828125,
-0.032745361328125,
0.0294342041015625,
0.01445770263671875,
0.056793212890625,
0.034149169921875,
-0.0140838623046875,
0.06365966796875,
-0.0323486328125,
0.05621337890625,
0.021820068359375,
-0.04119873046875,
0.029052734375,
-0.019500732421875,
0.024658203125,
0.040771484375,
0.041015625,
0.00969696044921875,
-0.0123138427734375,
-0.095458984375,
-0.05047607421875,
0.061767578125,
0.0260009765625,
0.020660400390625,
0.005504608154296875,
0.03814697265625,
0.00263214111328125,
0.016448974609375,
-0.05810546875,
-0.033447265625,
-0.0243072509765625,
-0.01092529296875,
-0.01276397705078125,
-0.032684326171875,
-0.01322174072265625,
-0.054351806640625,
0.083251953125,
0.00637054443359375,
0.0401611328125,
0.007476806640625,
0.008148193359375,
-0.019439697265625,
-0.00841522216796875,
0.039764404296875,
0.055572509765625,
-0.061279296875,
-0.0299530029296875,
0.0035552978515625,
-0.032867431640625,
-0.0154876708984375,
0.0245208740234375,
-0.01161956787109375,
0.0235595703125,
0.0272369384765625,
0.08367919921875,
0.00396728515625,
-0.0153350830078125,
0.027587890625,
-0.0116424560546875,
-0.0297698974609375,
-0.0328369140625,
0.0163116455078125,
-0.01142120361328125,
0.007373809814453125,
0.0102691650390625,
0.0269927978515625,
-0.006103515625,
-0.005828857421875,
0.01155853271484375,
0.0140838623046875,
-0.0281982421875,
-0.0198211669921875,
0.05517578125,
0.0192413330078125,
-0.0203399658203125,
0.06658935546875,
-0.006229400634765625,
-0.0157623291015625,
0.05419921875,
0.038726806640625,
0.05908203125,
-0.005687713623046875,
-0.0006251335144042969,
0.06396484375,
0.0097808837890625,
-0.01027679443359375,
0.031158447265625,
0.001392364501953125,
-0.047607421875,
-0.0247039794921875,
-0.05157470703125,
-0.0302581787109375,
0.042236328125,
-0.0882568359375,
0.0268707275390625,
-0.049713134765625,
-0.029022216796875,
0.0296783447265625,
-0.0035381317138671875,
-0.07806396484375,
0.04754638671875,
0.017608642578125,
0.08624267578125,
-0.0653076171875,
0.07513427734375,
0.051727294921875,
-0.03912353515625,
-0.064208984375,
-0.0102691650390625,
-0.0294952392578125,
-0.07244873046875,
0.060211181640625,
-0.004230499267578125,
0.0288848876953125,
0.00670623779296875,
-0.052703857421875,
-0.047515869140625,
0.053619384765625,
0.0159454345703125,
-0.057098388671875,
-0.005954742431640625,
0.005710601806640625,
0.05975341796875,
-0.014312744140625,
0.04608154296875,
0.0188751220703125,
0.020263671875,
0.01200103759765625,
-0.06719970703125,
-0.0252532958984375,
-0.02734375,
0.01537322998046875,
0.006557464599609375,
-0.0380859375,
0.06744384765625,
-0.00040984153747558594,
0.037322998046875,
0.0207977294921875,
0.051025390625,
0.0038909912109375,
-0.00019466876983642578,
0.0247344970703125,
0.06524658203125,
0.04583740234375,
-0.00687408447265625,
0.08392333984375,
-0.045257568359375,
0.055450439453125,
0.0908203125,
-0.0035552978515625,
0.056121826171875,
0.02020263671875,
-0.01540374755859375,
0.02105712890625,
0.060394287109375,
-0.04248046875,
0.04095458984375,
0.02227783203125,
0.001148223876953125,
-0.036468505859375,
0.019500732421875,
-0.048980712890625,
0.0253143310546875,
0.0027923583984375,
-0.0550537109375,
-0.02862548828125,
-0.01401519775390625,
-0.0102386474609375,
-0.0140533447265625,
-0.0289306640625,
0.034271240234375,
-0.0377197265625,
-0.033050537109375,
0.0570068359375,
0.003421783447265625,
0.027099609375,
-0.05633544921875,
-0.0015239715576171875,
0.00838470458984375,
0.034515380859375,
-0.01145172119140625,
-0.047149658203125,
0.01526641845703125,
-0.0010843276977539062,
-0.018463134765625,
-0.003307342529296875,
0.04730224609375,
-0.0226593017578125,
-0.061614990234375,
0.01299285888671875,
0.030975341796875,
0.029205322265625,
0.00850677490234375,
-0.08819580078125,
0.00003260374069213867,
-0.0068817138671875,
-0.026763916015625,
0.0197601318359375,
0.007537841796875,
0.0188446044921875,
0.033843994140625,
0.043792724609375,
-0.00005245208740234375,
0.00305938720703125,
0.01837158203125,
0.07061767578125,
-0.044036865234375,
-0.033538818359375,
-0.055328369140625,
0.0277862548828125,
-0.0208587646484375,
-0.06182861328125,
0.039794921875,
0.06842041015625,
0.07666015625,
-0.0263519287109375,
0.048583984375,
-0.0015993118286132812,
0.03436279296875,
-0.0268402099609375,
0.05322265625,
-0.0290069580078125,
-0.01432037353515625,
-0.01788330078125,
-0.062408447265625,
0.00310516357421875,
0.0626220703125,
-0.0179443359375,
0.0113525390625,
0.0299072265625,
0.041961669921875,
0.0005450248718261719,
0.011932373046875,
0.0209197998046875,
-0.005519866943359375,
0.016815185546875,
0.0294952392578125,
0.034027099609375,
-0.057647705078125,
0.032562255859375,
-0.048553466796875,
-0.0087890625,
-0.01120758056640625,
-0.049468994140625,
-0.077880859375,
-0.0204315185546875,
-0.03668212890625,
-0.03857421875,
0.0177001953125,
0.07415771484375,
0.05743408203125,
-0.045745849609375,
-0.031341552734375,
0.003917694091796875,
-0.0242462158203125,
-0.031280517578125,
-0.0129241943359375,
0.038543701171875,
-0.0341796875,
-0.05609130859375,
-0.003139495849609375,
-0.027252197265625,
0.0179443359375,
-0.009979248046875,
-0.0229949951171875,
-0.0220184326171875,
-0.025665283203125,
0.0157012939453125,
0.00304412841796875,
-0.03729248046875,
-0.029541015625,
-0.01800537109375,
-0.01143646240234375,
0.0173797607421875,
0.016387939453125,
-0.04638671875,
0.042083740234375,
0.01313018798828125,
0.028472900390625,
0.0543212890625,
-0.00725555419921875,
0.02410888671875,
-0.052947998046875,
0.0209503173828125,
0.01317596435546875,
0.0282135009765625,
0.004974365234375,
-0.0219879150390625,
0.03912353515625,
0.031005859375,
-0.038818359375,
-0.047943115234375,
-0.019378662109375,
-0.0777587890625,
0.006740570068359375,
0.0745849609375,
-0.00917816162109375,
-0.040985107421875,
0.030426025390625,
-0.01457977294921875,
0.033538818359375,
-0.023284912109375,
0.041900634765625,
0.05804443359375,
-0.00920867919921875,
0.01259613037109375,
-0.03289794921875,
0.032928466796875,
0.029052734375,
-0.046112060546875,
-0.0134429931640625,
0.024017333984375,
0.0262603759765625,
0.00521087646484375,
0.020782470703125,
0.00029754638671875,
0.03228759765625,
-0.0010290145874023438,
0.041900634765625,
-0.0264434814453125,
-0.0231475830078125,
-0.0211944580078125,
0.007476806640625,
0.00933837890625,
-0.0421142578125
]
] |
gokuls/HBERTv1_48_L6_H128_A2 | 2023-10-02T06:57:46.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L6_H128_A2 | 0 | 2 | transformers | 2023-09-29T23:49:06 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L6_H128_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.15307652515109207
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L6_H128_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9264
- Accuracy: 0.1531
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 124
- eval_batch_size: 124
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0305023193359375,
-0.049652099609375,
0.006099700927734375,
0.011993408203125,
-0.03271484375,
-0.03375244140625,
-0.0243072509765625,
-0.027557373046875,
0.00704193115234375,
0.01508331298828125,
-0.04974365234375,
-0.03668212890625,
-0.04229736328125,
-0.0164337158203125,
-0.0215911865234375,
0.10064697265625,
0.01013946533203125,
0.03082275390625,
-0.01001739501953125,
0.0078277587890625,
-0.01456451416015625,
-0.051666259765625,
-0.0638427734375,
-0.056304931640625,
0.035675048828125,
-0.0007505416870117188,
0.07183837890625,
0.0643310546875,
0.0521240234375,
0.0168304443359375,
-0.03271484375,
-0.01493072509765625,
-0.050811767578125,
-0.0250701904296875,
0.004482269287109375,
-0.025909423828125,
-0.054840087890625,
-0.00328826904296875,
0.05841064453125,
0.022308349609375,
-0.025634765625,
0.0330810546875,
0.01424407958984375,
0.032928466796875,
-0.03265380859375,
0.026336669921875,
-0.0389404296875,
0.02301025390625,
-0.0121002197265625,
-0.01291656494140625,
-0.035186767578125,
-0.00799560546875,
0.01255035400390625,
-0.038238525390625,
0.044189453125,
-0.00887298583984375,
0.101806640625,
0.0274658203125,
0.009918212890625,
0.0096435546875,
-0.0648193359375,
0.041015625,
-0.054718017578125,
0.0199737548828125,
0.0291290283203125,
0.04656982421875,
-0.0005693435668945312,
-0.058929443359375,
-0.035369873046875,
-0.00946807861328125,
0.0038127899169921875,
0.0193634033203125,
-0.004634857177734375,
0.00485992431640625,
0.050048828125,
0.0236358642578125,
-0.032958984375,
0.01271820068359375,
-0.0413818359375,
-0.0137481689453125,
0.047454833984375,
0.0258636474609375,
-0.01151275634765625,
-0.017425537109375,
-0.03228759765625,
-0.0276031494140625,
-0.0288543701171875,
0.01485443115234375,
0.050811767578125,
0.0222930908203125,
-0.0278472900390625,
0.04046630859375,
-0.00019252300262451172,
0.06146240234375,
0.0013418197631835938,
-0.004241943359375,
0.0394287109375,
-0.005680084228515625,
-0.035308837890625,
-0.01366424560546875,
0.06201171875,
0.031341552734375,
0.0283203125,
-0.00023829936981201172,
-0.02349853515625,
-0.024505615234375,
0.041015625,
-0.05865478515625,
-0.03759765625,
-0.00028443336486816406,
-0.056854248046875,
-0.041534423828125,
-0.0028705596923828125,
-0.0394287109375,
0.00902557373046875,
-0.0374755859375,
0.0413818359375,
-0.046875,
-0.00858306884765625,
-0.0014400482177734375,
-0.016082763671875,
0.0267181396484375,
0.020294189453125,
-0.0631103515625,
0.0208740234375,
0.0259246826171875,
0.031280517578125,
0.017303466796875,
-0.031890869140625,
-0.005611419677734375,
0.0021686553955078125,
-0.0234222412109375,
0.033416748046875,
-0.0222930908203125,
-0.0281982421875,
-0.0005407333374023438,
0.00566864013671875,
-0.0084686279296875,
-0.0281829833984375,
0.0711669921875,
-0.02874755859375,
0.0150299072265625,
-0.0205078125,
-0.055877685546875,
-0.0087432861328125,
0.0182647705078125,
-0.0499267578125,
0.0877685546875,
0.0055084228515625,
-0.049163818359375,
0.042388916015625,
-0.047515869140625,
-0.0119171142578125,
0.022674560546875,
-0.006298065185546875,
-0.060302734375,
0.00319671630859375,
0.0080108642578125,
0.039398193359375,
-0.0061492919921875,
0.0301055908203125,
-0.034942626953125,
-0.04461669921875,
-0.003620147705078125,
-0.037872314453125,
0.055511474609375,
0.008880615234375,
-0.02056884765625,
0.020782470703125,
-0.08099365234375,
0.022308349609375,
0.0238037109375,
-0.042877197265625,
0.009307861328125,
-0.0010080337524414062,
0.039947509765625,
0.01305389404296875,
0.0270538330078125,
-0.04522705078125,
0.00966644287109375,
-0.022857666015625,
0.011322021484375,
0.053619384765625,
-0.01323699951171875,
-0.006359100341796875,
-0.0292510986328125,
0.00487518310546875,
-0.0024776458740234375,
0.043701171875,
0.02166748046875,
-0.043426513671875,
-0.062042236328125,
-0.026763916015625,
0.028961181640625,
0.019989013671875,
-0.0307769775390625,
0.0732421875,
-0.0104522705078125,
-0.06854248046875,
-0.036163330078125,
0.0096282958984375,
0.034759521484375,
0.04541015625,
0.039276123046875,
-0.00531768798828125,
-0.0277557373046875,
-0.0841064453125,
0.006404876708984375,
-0.005725860595703125,
0.00925445556640625,
0.01641845703125,
0.0496826171875,
-0.00428009033203125,
0.059906005859375,
-0.0291290283203125,
-0.007122039794921875,
-0.0188446044921875,
0.0038604736328125,
0.0322265625,
0.06549072265625,
0.055389404296875,
-0.03570556640625,
-0.017669677734375,
-0.0245208740234375,
-0.0650634765625,
0.0347900390625,
-0.008270263671875,
-0.0262908935546875,
-0.0086517333984375,
0.01519775390625,
-0.034027099609375,
0.0545654296875,
0.013702392578125,
-0.0070343017578125,
0.049957275390625,
-0.050537109375,
-0.024383544921875,
-0.06793212890625,
0.0188751220703125,
0.017730712890625,
0.0018463134765625,
-0.0241241455078125,
0.00811004638671875,
0.01528167724609375,
-0.0178070068359375,
-0.0343017578125,
0.036376953125,
0.0033664703369140625,
0.004375457763671875,
-0.0144805908203125,
-0.031646728515625,
-0.0075225830078125,
0.05865478515625,
0.02008056640625,
0.03466796875,
0.0494384765625,
-0.050933837890625,
0.039764404296875,
0.043182373046875,
-0.0306854248046875,
0.0303955078125,
-0.0789794921875,
0.0090179443359375,
-0.00954437255859375,
0.0079803466796875,
-0.05694580078125,
-0.02191162109375,
0.041015625,
-0.035797119140625,
0.0231781005859375,
-0.007297515869140625,
-0.0477294921875,
-0.04437255859375,
-0.00868988037109375,
0.01300811767578125,
0.04937744140625,
-0.061248779296875,
0.03369140625,
-0.011322021484375,
0.0230560302734375,
-0.04071044921875,
-0.050048828125,
-0.021942138671875,
0.0034503936767578125,
-0.03033447265625,
0.021026611328125,
-0.0209808349609375,
0.022705078125,
0.0080108642578125,
0.01236724853515625,
-0.02044677734375,
-0.00443267822265625,
0.020416259765625,
0.03826904296875,
-0.004150390625,
0.0162506103515625,
0.0010766983032226562,
-0.0023593902587890625,
0.021270751953125,
0.012420654296875,
0.03759765625,
-0.00611114501953125,
-0.020416259765625,
-0.0574951171875,
-0.00850677490234375,
0.02972412109375,
-0.0099334716796875,
0.06719970703125,
0.068603515625,
-0.043701171875,
0.00240325927734375,
-0.0282440185546875,
-0.002269744873046875,
-0.03076171875,
0.03607177734375,
-0.0377197265625,
-0.00800323486328125,
0.042572021484375,
0.0233917236328125,
0.01439666748046875,
0.0655517578125,
0.048919677734375,
-0.006534576416015625,
0.083251953125,
0.0278778076171875,
-0.0113372802734375,
0.032257080078125,
-0.04949951171875,
-0.01044464111328125,
-0.05670166015625,
-0.033538818359375,
-0.04034423828125,
-0.0259857177734375,
-0.041595458984375,
0.0016336441040039062,
0.01387786865234375,
0.00838470458984375,
-0.0396728515625,
0.0240936279296875,
-0.043975830078125,
0.03143310546875,
0.0595703125,
0.046356201171875,
-0.019775390625,
0.0146942138671875,
-0.01395416259765625,
-0.00402069091796875,
-0.06695556640625,
-0.0328369140625,
0.10235595703125,
0.04473876953125,
0.053680419921875,
-0.01152801513671875,
0.05462646484375,
0.006778717041015625,
0.01332855224609375,
-0.0355224609375,
0.03759765625,
0.0012493133544921875,
-0.07000732421875,
-0.0276947021484375,
-0.017852783203125,
-0.05194091796875,
0.00885772705078125,
-0.0413818359375,
-0.0394287109375,
0.0033550262451171875,
0.0196990966796875,
-0.0305023193359375,
0.0311126708984375,
-0.0421142578125,
0.0828857421875,
-0.02264404296875,
-0.036407470703125,
-0.0225372314453125,
-0.048919677734375,
0.00848388671875,
0.005283355712890625,
-0.03076171875,
0.0005016326904296875,
0.02471923828125,
0.0765380859375,
-0.041015625,
0.053558349609375,
-0.03643798828125,
0.0217437744140625,
0.0277557373046875,
-0.035369873046875,
0.039886474609375,
0.003414154052734375,
-0.0226593017578125,
0.0167083740234375,
-0.0058135986328125,
-0.05291748046875,
-0.0243072509765625,
0.048248291015625,
-0.094482421875,
-0.0034942626953125,
-0.032318115234375,
-0.0377197265625,
-0.00432586669921875,
0.00970458984375,
0.044464111328125,
0.050994873046875,
-0.02484130859375,
0.01517486572265625,
0.041778564453125,
-0.00658416748046875,
0.038330078125,
0.01425933837890625,
0.0018939971923828125,
-0.0311431884765625,
0.066162109375,
-0.005611419677734375,
0.005096435546875,
-0.00849151611328125,
0.008758544921875,
-0.03204345703125,
-0.0389404296875,
-0.042938232421875,
0.0218658447265625,
-0.057708740234375,
-0.00970458984375,
-0.0189208984375,
-0.044403076171875,
-0.0240478515625,
0.00928497314453125,
-0.0287933349609375,
-0.004047393798828125,
-0.039031982421875,
-0.00916290283203125,
0.0161590576171875,
0.04388427734375,
-0.004772186279296875,
0.05499267578125,
-0.047607421875,
0.003551483154296875,
0.01122283935546875,
0.040130615234375,
0.00925445556640625,
-0.0584716796875,
-0.0396728515625,
0.00554656982421875,
-0.0227813720703125,
-0.032257080078125,
0.0302886962890625,
0.01464080810546875,
0.05645751953125,
0.033905029296875,
-0.01416015625,
0.06378173828125,
-0.031829833984375,
0.055908203125,
0.02178955078125,
-0.040435791015625,
0.0287933349609375,
-0.0195159912109375,
0.026092529296875,
0.0418701171875,
0.041259765625,
0.0087127685546875,
-0.01139068603515625,
-0.09466552734375,
-0.0506591796875,
0.06134033203125,
0.02593994140625,
0.0212249755859375,
0.00528717041015625,
0.037841796875,
0.0029125213623046875,
0.0164642333984375,
-0.057525634765625,
-0.034027099609375,
-0.02392578125,
-0.012298583984375,
-0.0126800537109375,
-0.0323486328125,
-0.01361846923828125,
-0.054718017578125,
0.08447265625,
0.00543975830078125,
0.040771484375,
0.0080413818359375,
0.00799560546875,
-0.019500732421875,
-0.00884246826171875,
0.041015625,
0.054168701171875,
-0.061370849609375,
-0.0296173095703125,
0.0038890838623046875,
-0.033477783203125,
-0.015716552734375,
0.0249786376953125,
-0.0120086669921875,
0.023681640625,
0.027374267578125,
0.08428955078125,
0.004283905029296875,
-0.0159149169921875,
0.028350830078125,
-0.01264190673828125,
-0.0299530029296875,
-0.032501220703125,
0.014984130859375,
-0.01059722900390625,
0.00836181640625,
0.00981903076171875,
0.0279541015625,
-0.00687408447265625,
-0.005268096923828125,
0.01114654541015625,
0.01352691650390625,
-0.028900146484375,
-0.0196990966796875,
0.055877685546875,
0.0188751220703125,
-0.019744873046875,
0.0673828125,
-0.006084442138671875,
-0.01531219482421875,
0.05401611328125,
0.037841796875,
0.06011962890625,
-0.005054473876953125,
-0.00030612945556640625,
0.0634765625,
0.00972747802734375,
-0.0103759765625,
0.03192138671875,
0.0013303756713867188,
-0.0478515625,
-0.02471923828125,
-0.0513916015625,
-0.0296783447265625,
0.041839599609375,
-0.08758544921875,
0.0277099609375,
-0.048675537109375,
-0.0288238525390625,
0.0290985107421875,
-0.003673553466796875,
-0.078369140625,
0.04656982421875,
0.0185394287109375,
0.0869140625,
-0.06536865234375,
0.0760498046875,
0.051361083984375,
-0.03851318359375,
-0.0638427734375,
-0.0110321044921875,
-0.029510498046875,
-0.07232666015625,
0.0595703125,
-0.003543853759765625,
0.0287628173828125,
0.00623321533203125,
-0.0528564453125,
-0.046875,
0.05511474609375,
0.0172119140625,
-0.0574951171875,
-0.005405426025390625,
0.006244659423828125,
0.05902099609375,
-0.0144805908203125,
0.044952392578125,
0.0181732177734375,
0.0206451416015625,
0.01245880126953125,
-0.06732177734375,
-0.02581787109375,
-0.027313232421875,
0.014892578125,
0.006778717041015625,
-0.03875732421875,
0.06787109375,
-0.0004982948303222656,
0.03680419921875,
0.0210418701171875,
0.051116943359375,
0.003810882568359375,
0.0006051063537597656,
0.0252227783203125,
0.06536865234375,
0.04571533203125,
-0.007335662841796875,
0.08453369140625,
-0.04541015625,
0.056060791015625,
0.091064453125,
-0.0032405853271484375,
0.056182861328125,
0.021148681640625,
-0.0160675048828125,
0.02032470703125,
0.060791015625,
-0.042022705078125,
0.04180908203125,
0.022705078125,
0.0006647109985351562,
-0.036376953125,
0.0181884765625,
-0.0487060546875,
0.0249481201171875,
0.00203704833984375,
-0.054962158203125,
-0.028167724609375,
-0.01336669921875,
-0.01016998291015625,
-0.01439666748046875,
-0.02978515625,
0.033599853515625,
-0.037750244140625,
-0.03155517578125,
0.05670166015625,
0.0033473968505859375,
0.0271759033203125,
-0.05645751953125,
-0.001163482666015625,
0.008087158203125,
0.035430908203125,
-0.0110015869140625,
-0.046844482421875,
0.01500701904296875,
-0.0018720626831054688,
-0.0184478759765625,
-0.0033779144287109375,
0.0474853515625,
-0.023284912109375,
-0.0626220703125,
0.0130157470703125,
0.031341552734375,
0.029815673828125,
0.006999969482421875,
-0.08856201171875,
0.0011959075927734375,
-0.007404327392578125,
-0.0281219482421875,
0.019317626953125,
0.007312774658203125,
0.018524169921875,
0.03411865234375,
0.042144775390625,
0.000022411346435546875,
0.0027923583984375,
0.0189208984375,
0.0711669921875,
-0.0438232421875,
-0.032257080078125,
-0.055816650390625,
0.028411865234375,
-0.0206756591796875,
-0.06134033203125,
0.040008544921875,
0.0687255859375,
0.0771484375,
-0.0269012451171875,
0.04791259765625,
-0.0020427703857421875,
0.034637451171875,
-0.0269775390625,
0.053466796875,
-0.0284881591796875,
-0.014862060546875,
-0.0182037353515625,
-0.061248779296875,
0.002414703369140625,
0.062103271484375,
-0.017730712890625,
0.01080322265625,
0.0292816162109375,
0.0433349609375,
0.0008330345153808594,
0.0113067626953125,
0.0220947265625,
-0.0059661865234375,
0.0163726806640625,
0.0296173095703125,
0.034423828125,
-0.058685302734375,
0.032440185546875,
-0.04815673828125,
-0.00787353515625,
-0.01105499267578125,
-0.0491943359375,
-0.07733154296875,
-0.021148681640625,
-0.037109375,
-0.0384521484375,
0.017425537109375,
0.07550048828125,
0.058197021484375,
-0.045806884765625,
-0.03094482421875,
0.004085540771484375,
-0.024200439453125,
-0.0310821533203125,
-0.012359619140625,
0.03875732421875,
-0.032257080078125,
-0.056549072265625,
-0.003192901611328125,
-0.0277099609375,
0.018524169921875,
-0.0104217529296875,
-0.0233917236328125,
-0.0221099853515625,
-0.0263671875,
0.0162506103515625,
0.0025501251220703125,
-0.03717041015625,
-0.02978515625,
-0.0178680419921875,
-0.0111846923828125,
0.0168914794921875,
0.0166015625,
-0.04656982421875,
0.0411376953125,
0.01409149169921875,
0.0291900634765625,
0.05450439453125,
-0.007415771484375,
0.0230255126953125,
-0.05267333984375,
0.021148681640625,
0.01317596435546875,
0.028717041015625,
0.00540924072265625,
-0.022064208984375,
0.039825439453125,
0.0310211181640625,
-0.038665771484375,
-0.04864501953125,
-0.0198822021484375,
-0.0787353515625,
0.00600433349609375,
0.07427978515625,
-0.00934600830078125,
-0.041412353515625,
0.031524658203125,
-0.016387939453125,
0.033172607421875,
-0.023162841796875,
0.0413818359375,
0.058563232421875,
-0.0087127685546875,
0.011962890625,
-0.033172607421875,
0.031646728515625,
0.028564453125,
-0.046051025390625,
-0.01371002197265625,
0.023681640625,
0.026214599609375,
0.0052490234375,
0.0200958251953125,
0.00019037723541259766,
0.0321044921875,
-0.0004563331604003906,
0.042877197265625,
-0.0265960693359375,
-0.0229034423828125,
-0.0216522216796875,
0.007541656494140625,
0.00922393798828125,
-0.042572021484375
]
] |
gokuls/HBERTv1_48_L6_H768_A12 | 2023-10-02T07:13:12.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L6_H768_A12 | 0 | 2 | transformers | 2023-09-29T23:49:49 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L6_H768_A12
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.4690010986268165
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L6_H768_A12
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0019
- Accuracy: 0.4690
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 80
- eval_batch_size: 80
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,589 | [
[
-0.030059814453125,
-0.049713134765625,
0.006275177001953125,
0.011077880859375,
-0.03314208984375,
-0.033721923828125,
-0.0240325927734375,
-0.0274810791015625,
0.006011962890625,
0.01517486572265625,
-0.048614501953125,
-0.03680419921875,
-0.04241943359375,
-0.0164947509765625,
-0.021026611328125,
0.10076904296875,
0.0096588134765625,
0.0309600830078125,
-0.01015472412109375,
0.00806427001953125,
-0.01471710205078125,
-0.0518798828125,
-0.06402587890625,
-0.056549072265625,
0.034881591796875,
-0.00022602081298828125,
0.07177734375,
0.06427001953125,
0.051483154296875,
0.016021728515625,
-0.032379150390625,
-0.0149993896484375,
-0.049591064453125,
-0.0247039794921875,
0.00458526611328125,
-0.0268707275390625,
-0.05548095703125,
-0.0027828216552734375,
0.058074951171875,
0.0213623046875,
-0.025634765625,
0.033416748046875,
0.0145416259765625,
0.03240966796875,
-0.03289794921875,
0.0277252197265625,
-0.038909912109375,
0.0234375,
-0.012359619140625,
-0.01396942138671875,
-0.03564453125,
-0.00885009765625,
0.01181793212890625,
-0.03851318359375,
0.044525146484375,
-0.00909423828125,
0.10162353515625,
0.02685546875,
0.00981903076171875,
0.009307861328125,
-0.065185546875,
0.0401611328125,
-0.05511474609375,
0.0196990966796875,
0.0296630859375,
0.04656982421875,
-0.0003376007080078125,
-0.05828857421875,
-0.03594970703125,
-0.01000213623046875,
0.003955841064453125,
0.0191192626953125,
-0.0037822723388671875,
0.005645751953125,
0.051483154296875,
0.0233917236328125,
-0.0325927734375,
0.01324462890625,
-0.041961669921875,
-0.0135345458984375,
0.047821044921875,
0.0255889892578125,
-0.01140594482421875,
-0.017333984375,
-0.031646728515625,
-0.0277862548828125,
-0.029876708984375,
0.01497650146484375,
0.05157470703125,
0.0217132568359375,
-0.027923583984375,
0.040771484375,
0.00002771615982055664,
0.061676025390625,
0.0013265609741210938,
-0.00469207763671875,
0.040191650390625,
-0.004718780517578125,
-0.035308837890625,
-0.01346588134765625,
0.062103271484375,
0.031158447265625,
0.029083251953125,
0.00015735626220703125,
-0.023162841796875,
-0.0250701904296875,
0.041259765625,
-0.05780029296875,
-0.03759765625,
8.344650268554688e-7,
-0.056915283203125,
-0.04205322265625,
-0.00275421142578125,
-0.0396728515625,
0.0095062255859375,
-0.03778076171875,
0.041412353515625,
-0.04632568359375,
-0.008331298828125,
-0.0022945404052734375,
-0.0165863037109375,
0.0262451171875,
0.019683837890625,
-0.0638427734375,
0.020843505859375,
0.025909423828125,
0.030670166015625,
0.016754150390625,
-0.032318115234375,
-0.006183624267578125,
0.0027008056640625,
-0.0233612060546875,
0.033477783203125,
-0.02276611328125,
-0.0282745361328125,
0.00003153085708618164,
0.005245208740234375,
-0.00859832763671875,
-0.029144287109375,
0.07049560546875,
-0.0287933349609375,
0.0142974853515625,
-0.0195159912109375,
-0.05535888671875,
-0.00811004638671875,
0.018096923828125,
-0.049896240234375,
0.08819580078125,
0.005218505859375,
-0.049224853515625,
0.04254150390625,
-0.047149658203125,
-0.0121307373046875,
0.0223236083984375,
-0.00647735595703125,
-0.05963134765625,
0.00335693359375,
0.00751495361328125,
0.0399169921875,
-0.005374908447265625,
0.0305633544921875,
-0.035369873046875,
-0.045074462890625,
-0.0029163360595703125,
-0.0382080078125,
0.054962158203125,
0.00859832763671875,
-0.0216522216796875,
0.0201416015625,
-0.08099365234375,
0.02203369140625,
0.0233154296875,
-0.042999267578125,
0.0095367431640625,
-0.0008378028869628906,
0.039276123046875,
0.01319122314453125,
0.02618408203125,
-0.045166015625,
0.0092620849609375,
-0.0237884521484375,
0.01082611083984375,
0.0538330078125,
-0.01336669921875,
-0.006175994873046875,
-0.02899169921875,
0.005054473876953125,
-0.00258636474609375,
0.04388427734375,
0.0227813720703125,
-0.043487548828125,
-0.0628662109375,
-0.0249176025390625,
0.028350830078125,
0.0209503173828125,
-0.0310211181640625,
0.07293701171875,
-0.01055908203125,
-0.06817626953125,
-0.035308837890625,
0.00948333740234375,
0.03466796875,
0.045318603515625,
0.03985595703125,
-0.00548553466796875,
-0.0269775390625,
-0.0838623046875,
0.005558013916015625,
-0.0062103271484375,
0.00920867919921875,
0.01654052734375,
0.049468994140625,
-0.003810882568359375,
0.060211181640625,
-0.02899169921875,
-0.00727081298828125,
-0.019134521484375,
0.004352569580078125,
0.031646728515625,
0.0657958984375,
0.054901123046875,
-0.0350341796875,
-0.017852783203125,
-0.0244140625,
-0.0650634765625,
0.0343017578125,
-0.00829315185546875,
-0.026275634765625,
-0.0081787109375,
0.0160675048828125,
-0.0335693359375,
0.055450439453125,
0.0134124755859375,
-0.00646209716796875,
0.050537109375,
-0.051422119140625,
-0.0250396728515625,
-0.06768798828125,
0.019287109375,
0.017669677734375,
0.0023593902587890625,
-0.0243072509765625,
0.007656097412109375,
0.01495361328125,
-0.0179443359375,
-0.033905029296875,
0.03662109375,
0.003406524658203125,
0.004344940185546875,
-0.01462554931640625,
-0.031982421875,
-0.007671356201171875,
0.058746337890625,
0.0203094482421875,
0.034454345703125,
0.049285888671875,
-0.05133056640625,
0.039764404296875,
0.04241943359375,
-0.0294647216796875,
0.0308380126953125,
-0.07843017578125,
0.00855255126953125,
-0.00960540771484375,
0.00742340087890625,
-0.056884765625,
-0.0216522216796875,
0.041656494140625,
-0.03558349609375,
0.023773193359375,
-0.00733184814453125,
-0.047637939453125,
-0.0447998046875,
-0.007297515869140625,
0.013427734375,
0.049835205078125,
-0.061248779296875,
0.03411865234375,
-0.011566162109375,
0.0231170654296875,
-0.040924072265625,
-0.050445556640625,
-0.0229034423828125,
0.0036296844482421875,
-0.0289459228515625,
0.020843505859375,
-0.021270751953125,
0.023040771484375,
0.00749969482421875,
0.01166534423828125,
-0.02117919921875,
-0.004512786865234375,
0.0204620361328125,
0.038177490234375,
-0.00307464599609375,
0.016204833984375,
0.0016775131225585938,
-0.0032787322998046875,
0.0220794677734375,
0.01177215576171875,
0.036956787109375,
-0.00457763671875,
-0.0211181640625,
-0.0579833984375,
-0.0083465576171875,
0.029815673828125,
-0.010040283203125,
0.06591796875,
0.0697021484375,
-0.043182373046875,
0.002471923828125,
-0.02899169921875,
-0.0016269683837890625,
-0.0306396484375,
0.035858154296875,
-0.03729248046875,
-0.00881195068359375,
0.041900634765625,
0.02447509765625,
0.01465606689453125,
0.0660400390625,
0.048736572265625,
-0.006732940673828125,
0.0833740234375,
0.028106689453125,
-0.01049041748046875,
0.032012939453125,
-0.0489501953125,
-0.009674072265625,
-0.0567626953125,
-0.034393310546875,
-0.040191650390625,
-0.02581787109375,
-0.041107177734375,
0.0022068023681640625,
0.01318359375,
0.00797271728515625,
-0.039398193359375,
0.0237274169921875,
-0.043914794921875,
0.03131103515625,
0.059234619140625,
0.04632568359375,
-0.0195159912109375,
0.0157928466796875,
-0.01371002197265625,
-0.003814697265625,
-0.067138671875,
-0.03265380859375,
0.1029052734375,
0.043670654296875,
0.05328369140625,
-0.01186370849609375,
0.05523681640625,
0.007503509521484375,
0.01434326171875,
-0.03521728515625,
0.0372314453125,
0.0006690025329589844,
-0.0693359375,
-0.02685546875,
-0.01800537109375,
-0.05169677734375,
0.0078887939453125,
-0.040771484375,
-0.039520263671875,
0.00399017333984375,
0.0209503173828125,
-0.0309600830078125,
0.03155517578125,
-0.042572021484375,
0.08331298828125,
-0.0223541259765625,
-0.035888671875,
-0.02203369140625,
-0.048492431640625,
0.00884246826171875,
0.00470733642578125,
-0.0302886962890625,
0.0005211830139160156,
0.0248870849609375,
0.07733154296875,
-0.041015625,
0.0543212890625,
-0.036346435546875,
0.020751953125,
0.0279388427734375,
-0.0350341796875,
0.039947509765625,
0.0041961669921875,
-0.0221405029296875,
0.01654052734375,
-0.005985260009765625,
-0.052764892578125,
-0.0242919921875,
0.048126220703125,
-0.09423828125,
-0.003696441650390625,
-0.03253173828125,
-0.037261962890625,
-0.00479888916015625,
0.008758544921875,
0.045806884765625,
0.05120849609375,
-0.0244140625,
0.01340484619140625,
0.0416259765625,
-0.0057220458984375,
0.03857421875,
0.0137176513671875,
0.0025577545166015625,
-0.0311126708984375,
0.066162109375,
-0.004924774169921875,
0.0054168701171875,
-0.0085296630859375,
0.00855255126953125,
-0.032196044921875,
-0.039398193359375,
-0.0419921875,
0.02142333984375,
-0.057525634765625,
-0.00997161865234375,
-0.019195556640625,
-0.0440673828125,
-0.023529052734375,
0.00925445556640625,
-0.028350830078125,
-0.003978729248046875,
-0.040130615234375,
-0.00931549072265625,
0.016021728515625,
0.0440673828125,
-0.005596160888671875,
0.05596923828125,
-0.04827880859375,
0.004482269287109375,
0.01116943359375,
0.04052734375,
0.0099334716796875,
-0.05914306640625,
-0.039794921875,
0.0052490234375,
-0.0226593017578125,
-0.03302001953125,
0.0302886962890625,
0.01446533203125,
0.056427001953125,
0.034210205078125,
-0.01468658447265625,
0.06396484375,
-0.03192138671875,
0.05572509765625,
0.02191162109375,
-0.041412353515625,
0.0289459228515625,
-0.0192413330078125,
0.0253753662109375,
0.042236328125,
0.0408935546875,
0.009002685546875,
-0.01136016845703125,
-0.095947265625,
-0.0504150390625,
0.06195068359375,
0.025787353515625,
0.0214080810546875,
0.005153656005859375,
0.03802490234375,
0.0031070709228515625,
0.016693115234375,
-0.058013916015625,
-0.03411865234375,
-0.0236358642578125,
-0.011993408203125,
-0.013092041015625,
-0.032958984375,
-0.01367950439453125,
-0.055328369140625,
0.08380126953125,
0.00537109375,
0.04052734375,
0.00803375244140625,
0.00803375244140625,
-0.01910400390625,
-0.008636474609375,
0.04034423828125,
0.0548095703125,
-0.061126708984375,
-0.029144287109375,
0.00405120849609375,
-0.034454345703125,
-0.0152130126953125,
0.025543212890625,
-0.011627197265625,
0.02423095703125,
0.02691650390625,
0.08428955078125,
0.0031890869140625,
-0.01540374755859375,
0.0283203125,
-0.012237548828125,
-0.0301971435546875,
-0.032806396484375,
0.015777587890625,
-0.01155853271484375,
0.00785064697265625,
0.00960540771484375,
0.0283050537109375,
-0.0065765380859375,
-0.005126953125,
0.01103973388671875,
0.01300811767578125,
-0.0295562744140625,
-0.0190887451171875,
0.05621337890625,
0.01873779296875,
-0.0195159912109375,
0.0667724609375,
-0.006427764892578125,
-0.01522064208984375,
0.054412841796875,
0.03826904296875,
0.060791015625,
-0.005527496337890625,
-0.0003864765167236328,
0.06414794921875,
0.009674072265625,
-0.01085662841796875,
0.032257080078125,
0.0012235641479492188,
-0.047027587890625,
-0.0243072509765625,
-0.0511474609375,
-0.0295257568359375,
0.041015625,
-0.08782958984375,
0.0267181396484375,
-0.04931640625,
-0.0293121337890625,
0.0287017822265625,
-0.004425048828125,
-0.0780029296875,
0.04638671875,
0.018402099609375,
0.08660888671875,
-0.06597900390625,
0.07586669921875,
0.050262451171875,
-0.0386962890625,
-0.06414794921875,
-0.01092529296875,
-0.029388427734375,
-0.07122802734375,
0.060028076171875,
-0.003955841064453125,
0.0294342041015625,
0.006229400634765625,
-0.053466796875,
-0.0465087890625,
0.05487060546875,
0.0167388916015625,
-0.05731201171875,
-0.005245208740234375,
0.006549835205078125,
0.058929443359375,
-0.01477813720703125,
0.0457763671875,
0.018951416015625,
0.020599365234375,
0.01233673095703125,
-0.067138671875,
-0.025482177734375,
-0.02740478515625,
0.01514434814453125,
0.00650787353515625,
-0.037933349609375,
0.067626953125,
-0.0009226799011230469,
0.0364990234375,
0.02093505859375,
0.050933837890625,
0.003429412841796875,
0.0002422332763671875,
0.02459716796875,
0.065185546875,
0.0458984375,
-0.007293701171875,
0.08380126953125,
-0.044891357421875,
0.05535888671875,
0.09100341796875,
-0.002925872802734375,
0.0567626953125,
0.0209197998046875,
-0.0156097412109375,
0.020538330078125,
0.060302734375,
-0.04266357421875,
0.0401611328125,
0.0222930908203125,
0.0007572174072265625,
-0.0372314453125,
0.01934814453125,
-0.049041748046875,
0.0247802734375,
0.0022068023681640625,
-0.0556640625,
-0.027984619140625,
-0.0133209228515625,
-0.00933074951171875,
-0.01438140869140625,
-0.0293731689453125,
0.03363037109375,
-0.03741455078125,
-0.032318115234375,
0.05718994140625,
0.00327301025390625,
0.027099609375,
-0.056121826171875,
-0.0017614364624023438,
0.007770538330078125,
0.035308837890625,
-0.01148223876953125,
-0.04705810546875,
0.01555633544921875,
-0.0017480850219726562,
-0.0184326171875,
-0.002712249755859375,
0.0465087890625,
-0.023406982421875,
-0.06243896484375,
0.01268768310546875,
0.0308837890625,
0.0294342041015625,
0.00722503662109375,
-0.088623046875,
0.0007009506225585938,
-0.00640106201171875,
-0.0261993408203125,
0.019195556640625,
0.0072479248046875,
0.0187835693359375,
0.033721923828125,
0.04296875,
-0.00006693601608276367,
0.0024394989013671875,
0.0187225341796875,
0.07080078125,
-0.0440673828125,
-0.0322265625,
-0.056121826171875,
0.0280609130859375,
-0.020782470703125,
-0.06201171875,
0.039398193359375,
0.0692138671875,
0.0771484375,
-0.027130126953125,
0.0482177734375,
-0.0014085769653320312,
0.033660888671875,
-0.026885986328125,
0.053985595703125,
-0.0286865234375,
-0.014251708984375,
-0.01824951171875,
-0.06201171875,
0.0016222000122070312,
0.061065673828125,
-0.018280029296875,
0.01079559326171875,
0.0302581787109375,
0.042999267578125,
0.00019609928131103516,
0.01137542724609375,
0.0210418701171875,
-0.00582122802734375,
0.0161285400390625,
0.0301055908203125,
0.034454345703125,
-0.058380126953125,
0.032989501953125,
-0.047943115234375,
-0.0086822509765625,
-0.0105133056640625,
-0.04876708984375,
-0.077880859375,
-0.020294189453125,
-0.037109375,
-0.038909912109375,
0.017578125,
0.07452392578125,
0.057403564453125,
-0.04583740234375,
-0.031341552734375,
0.004245758056640625,
-0.0239715576171875,
-0.0308380126953125,
-0.01268768310546875,
0.03924560546875,
-0.032745361328125,
-0.05621337890625,
-0.004077911376953125,
-0.027801513671875,
0.0196380615234375,
-0.00968170166015625,
-0.02288818359375,
-0.021484375,
-0.026397705078125,
0.0160675048828125,
0.0035552978515625,
-0.037261962890625,
-0.0293121337890625,
-0.0179443359375,
-0.01123809814453125,
0.0177459716796875,
0.0164794921875,
-0.04638671875,
0.0416259765625,
0.01435089111328125,
0.0279388427734375,
0.054229736328125,
-0.007534027099609375,
0.0233612060546875,
-0.0523681640625,
0.0214080810546875,
0.01309967041015625,
0.028411865234375,
0.00498199462890625,
-0.0217742919921875,
0.038787841796875,
0.031768798828125,
-0.03814697265625,
-0.048126220703125,
-0.0196380615234375,
-0.07861328125,
0.006114959716796875,
0.07501220703125,
-0.0083770751953125,
-0.041900634765625,
0.0303955078125,
-0.0160675048828125,
0.033294677734375,
-0.023284912109375,
0.041259765625,
0.057373046875,
-0.00882720947265625,
0.01258087158203125,
-0.033355712890625,
0.03302001953125,
0.02850341796875,
-0.046173095703125,
-0.01334381103515625,
0.0235137939453125,
0.026031494140625,
0.00478363037109375,
0.02032470703125,
0.0004737377166748047,
0.031982421875,
-0.0007653236389160156,
0.043426513671875,
-0.026611328125,
-0.0228424072265625,
-0.0215911865234375,
0.00789642333984375,
0.0095062255859375,
-0.04217529296875
]
] |
gokuls/HBERTv1_48_L6_H64_A2 | 2023-10-02T06:57:35.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L6_H64_A2 | 0 | 2 | transformers | 2023-09-29T23:49:54 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L6_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.14806459622865828
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L6_H64_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1264
- Accuracy: 0.1481
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 146
- eval_batch_size: 146
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,588 | [
[
-0.030548095703125,
-0.0498046875,
0.005962371826171875,
0.01132965087890625,
-0.03265380859375,
-0.03411865234375,
-0.0242919921875,
-0.02783203125,
0.007114410400390625,
0.01508331298828125,
-0.048919677734375,
-0.036285400390625,
-0.042022705078125,
-0.016265869140625,
-0.02154541015625,
0.10113525390625,
0.0107574462890625,
0.0313720703125,
-0.009735107421875,
0.007778167724609375,
-0.01393890380859375,
-0.05169677734375,
-0.06353759765625,
-0.055999755859375,
0.03521728515625,
-0.0006499290466308594,
0.07244873046875,
0.06439208984375,
0.0517578125,
0.01629638671875,
-0.03265380859375,
-0.01528167724609375,
-0.050323486328125,
-0.024932861328125,
0.004337310791015625,
-0.0260009765625,
-0.05419921875,
-0.0032787322998046875,
0.0582275390625,
0.0220489501953125,
-0.02545166015625,
0.032867431640625,
0.0135498046875,
0.032684326171875,
-0.032073974609375,
0.0258636474609375,
-0.039703369140625,
0.0225830078125,
-0.0125274658203125,
-0.0125885009765625,
-0.0352783203125,
-0.0082244873046875,
0.012664794921875,
-0.038177490234375,
0.04443359375,
-0.0090789794921875,
0.10162353515625,
0.0273895263671875,
0.009307861328125,
0.00928497314453125,
-0.06463623046875,
0.040313720703125,
-0.0545654296875,
0.0204315185546875,
0.0296630859375,
0.046478271484375,
-0.00093841552734375,
-0.059478759765625,
-0.0352783203125,
-0.01021575927734375,
0.004047393798828125,
0.019195556640625,
-0.0034084320068359375,
0.005138397216796875,
0.050201416015625,
0.02392578125,
-0.0330810546875,
0.01261138916015625,
-0.041412353515625,
-0.01355743408203125,
0.047607421875,
0.0253143310546875,
-0.0111846923828125,
-0.0173187255859375,
-0.032073974609375,
-0.0277557373046875,
-0.0285491943359375,
0.01522064208984375,
0.050689697265625,
0.0224609375,
-0.0277557373046875,
0.040283203125,
-0.0003228187561035156,
0.062164306640625,
0.0014543533325195312,
-0.0031070709228515625,
0.03997802734375,
-0.005313873291015625,
-0.035400390625,
-0.0141448974609375,
0.061859130859375,
0.03143310546875,
0.0286712646484375,
-0.0007805824279785156,
-0.02386474609375,
-0.0240631103515625,
0.041778564453125,
-0.058349609375,
-0.038177490234375,
0.00016224384307861328,
-0.05645751953125,
-0.041168212890625,
-0.0031261444091796875,
-0.03936767578125,
0.0095367431640625,
-0.03826904296875,
0.041259765625,
-0.0479736328125,
-0.00849151611328125,
-0.0016641616821289062,
-0.0159454345703125,
0.0263824462890625,
0.0192413330078125,
-0.0635986328125,
0.0205230712890625,
0.0262451171875,
0.031707763671875,
0.0172576904296875,
-0.031951904296875,
-0.005443572998046875,
0.0019130706787109375,
-0.023345947265625,
0.033447265625,
-0.0230255126953125,
-0.028076171875,
-0.00033211708068847656,
0.005340576171875,
-0.00894927978515625,
-0.02789306640625,
0.0706787109375,
-0.0289459228515625,
0.01493072509765625,
-0.020050048828125,
-0.056365966796875,
-0.00832366943359375,
0.018280029296875,
-0.050079345703125,
0.0875244140625,
0.005176544189453125,
-0.04931640625,
0.04296875,
-0.048004150390625,
-0.01216888427734375,
0.0225067138671875,
-0.006938934326171875,
-0.060272216796875,
0.00313568115234375,
0.0078277587890625,
0.03961181640625,
-0.005428314208984375,
0.0308990478515625,
-0.0352783203125,
-0.0450439453125,
-0.0030422210693359375,
-0.037445068359375,
0.05596923828125,
0.008636474609375,
-0.0207977294921875,
0.0207672119140625,
-0.08135986328125,
0.0222930908203125,
0.0237579345703125,
-0.04278564453125,
0.00931549072265625,
-0.0009870529174804688,
0.039459228515625,
0.01320648193359375,
0.0272216796875,
-0.045257568359375,
0.00916290283203125,
-0.0234222412109375,
0.01177978515625,
0.053741455078125,
-0.01361083984375,
-0.005771636962890625,
-0.0296173095703125,
0.00426483154296875,
-0.0029506683349609375,
0.044158935546875,
0.022216796875,
-0.043701171875,
-0.06158447265625,
-0.027099609375,
0.0292205810546875,
0.0204315185546875,
-0.030548095703125,
0.0733642578125,
-0.01043701171875,
-0.06890869140625,
-0.035675048828125,
0.0098724365234375,
0.034698486328125,
0.045135498046875,
0.039093017578125,
-0.004764556884765625,
-0.027618408203125,
-0.083984375,
0.006381988525390625,
-0.0058441162109375,
0.00960540771484375,
0.016448974609375,
0.049285888671875,
-0.004657745361328125,
0.060455322265625,
-0.028228759765625,
-0.0066070556640625,
-0.01776123046875,
0.003971099853515625,
0.032501220703125,
0.06536865234375,
0.055511474609375,
-0.035675048828125,
-0.0173187255859375,
-0.02423095703125,
-0.064697265625,
0.034912109375,
-0.007686614990234375,
-0.026702880859375,
-0.00864410400390625,
0.01554107666015625,
-0.034088134765625,
0.054046630859375,
0.01404571533203125,
-0.00710296630859375,
0.050201416015625,
-0.050567626953125,
-0.0253753662109375,
-0.0682373046875,
0.01947021484375,
0.0175018310546875,
0.0018091201782226562,
-0.0241241455078125,
0.00853729248046875,
0.01558685302734375,
-0.0178985595703125,
-0.033111572265625,
0.036712646484375,
0.0035114288330078125,
0.00396728515625,
-0.0139617919921875,
-0.031768798828125,
-0.0079803466796875,
0.05865478515625,
0.0205841064453125,
0.034820556640625,
0.049285888671875,
-0.05084228515625,
0.039886474609375,
0.04266357421875,
-0.0305023193359375,
0.0309295654296875,
-0.07867431640625,
0.00958251953125,
-0.00894927978515625,
0.0080108642578125,
-0.057403564453125,
-0.02203369140625,
0.04046630859375,
-0.035797119140625,
0.0231170654296875,
-0.007568359375,
-0.047607421875,
-0.044342041015625,
-0.00844573974609375,
0.0130462646484375,
0.048919677734375,
-0.06103515625,
0.033721923828125,
-0.01165008544921875,
0.0225677490234375,
-0.040679931640625,
-0.04962158203125,
-0.0222930908203125,
0.0035266876220703125,
-0.029998779296875,
0.020904541015625,
-0.0213775634765625,
0.0226593017578125,
0.00763702392578125,
0.0129241943359375,
-0.0207061767578125,
-0.00445556640625,
0.02056884765625,
0.03875732421875,
-0.0037021636962890625,
0.0167388916015625,
0.0015478134155273438,
-0.0025501251220703125,
0.0215911865234375,
0.012420654296875,
0.037628173828125,
-0.00592803955078125,
-0.0202789306640625,
-0.05657958984375,
-0.008819580078125,
0.0304412841796875,
-0.00998687744140625,
0.06695556640625,
0.0684814453125,
-0.043243408203125,
0.002384185791015625,
-0.02850341796875,
-0.0025043487548828125,
-0.030517578125,
0.03582763671875,
-0.037933349609375,
-0.0083770751953125,
0.042877197265625,
0.02392578125,
0.01537322998046875,
0.0648193359375,
0.048553466796875,
-0.006435394287109375,
0.08319091796875,
0.0269622802734375,
-0.011016845703125,
0.032379150390625,
-0.049285888671875,
-0.010772705078125,
-0.0570068359375,
-0.033782958984375,
-0.04034423828125,
-0.0262298583984375,
-0.04132080078125,
0.0020046234130859375,
0.013153076171875,
0.0081024169921875,
-0.0404052734375,
0.0235137939453125,
-0.04443359375,
0.0309906005859375,
0.060089111328125,
0.04638671875,
-0.0196990966796875,
0.01468658447265625,
-0.01483154296875,
-0.003894805908203125,
-0.06634521484375,
-0.032928466796875,
0.1031494140625,
0.0439453125,
0.05303955078125,
-0.01165008544921875,
0.0546875,
0.006683349609375,
0.01337432861328125,
-0.034759521484375,
0.037139892578125,
0.0003349781036376953,
-0.07025146484375,
-0.0272369384765625,
-0.017669677734375,
-0.0517578125,
0.0079498291015625,
-0.041046142578125,
-0.039642333984375,
0.0028743743896484375,
0.0194854736328125,
-0.0303802490234375,
0.0308380126953125,
-0.042877197265625,
0.08270263671875,
-0.022979736328125,
-0.035797119140625,
-0.0219573974609375,
-0.049591064453125,
0.00882720947265625,
0.00511932373046875,
-0.030517578125,
0.0012445449829101562,
0.0250396728515625,
0.07666015625,
-0.0406494140625,
0.05426025390625,
-0.0364990234375,
0.0216217041015625,
0.0267333984375,
-0.03497314453125,
0.04010009765625,
0.004085540771484375,
-0.0228118896484375,
0.0170135498046875,
-0.006069183349609375,
-0.05267333984375,
-0.0241546630859375,
0.04833984375,
-0.094970703125,
-0.0027790069580078125,
-0.032318115234375,
-0.038421630859375,
-0.005359649658203125,
0.0097198486328125,
0.0450439453125,
0.0513916015625,
-0.0246124267578125,
0.0146636962890625,
0.042083740234375,
-0.005603790283203125,
0.037933349609375,
0.01458740234375,
0.0013570785522460938,
-0.031829833984375,
0.066162109375,
-0.005527496337890625,
0.00527191162109375,
-0.0087432861328125,
0.00807952880859375,
-0.032806396484375,
-0.039154052734375,
-0.04296875,
0.0218353271484375,
-0.057220458984375,
-0.01020050048828125,
-0.019012451171875,
-0.044891357421875,
-0.0236968994140625,
0.00859832763671875,
-0.028472900390625,
-0.004192352294921875,
-0.039642333984375,
-0.00962066650390625,
0.0167694091796875,
0.044219970703125,
-0.0051116943359375,
0.054718017578125,
-0.047027587890625,
0.004367828369140625,
0.01183319091796875,
0.040771484375,
0.00850677490234375,
-0.058807373046875,
-0.039215087890625,
0.00595855712890625,
-0.0220947265625,
-0.031890869140625,
0.02899169921875,
0.014556884765625,
0.056396484375,
0.03387451171875,
-0.01433563232421875,
0.06341552734375,
-0.031646728515625,
0.0556640625,
0.0213165283203125,
-0.04052734375,
0.02911376953125,
-0.0199432373046875,
0.025848388671875,
0.0421142578125,
0.040771484375,
0.00952911376953125,
-0.0116729736328125,
-0.09515380859375,
-0.050628662109375,
0.061553955078125,
0.025787353515625,
0.02117919921875,
0.00472259521484375,
0.038116455078125,
0.003177642822265625,
0.0160980224609375,
-0.0576171875,
-0.033233642578125,
-0.0243377685546875,
-0.01230621337890625,
-0.012786865234375,
-0.03253173828125,
-0.013641357421875,
-0.053985595703125,
0.084228515625,
0.005603790283203125,
0.04052734375,
0.00794219970703125,
0.00809478759765625,
-0.019195556640625,
-0.009033203125,
0.0411376953125,
0.05450439453125,
-0.061676025390625,
-0.0295867919921875,
0.0036334991455078125,
-0.03387451171875,
-0.015716552734375,
0.02606201171875,
-0.0118560791015625,
0.0236663818359375,
0.026641845703125,
0.0841064453125,
0.004238128662109375,
-0.01629638671875,
0.0278472900390625,
-0.01268768310546875,
-0.0296478271484375,
-0.03253173828125,
0.01513671875,
-0.0103302001953125,
0.00847625732421875,
0.01023101806640625,
0.0280609130859375,
-0.007297515869140625,
-0.00461578369140625,
0.01137542724609375,
0.01404571533203125,
-0.028900146484375,
-0.01959228515625,
0.05609130859375,
0.0188751220703125,
-0.020294189453125,
0.0677490234375,
-0.00605010986328125,
-0.01513671875,
0.054046630859375,
0.038330078125,
0.059600830078125,
-0.006069183349609375,
-0.00011718273162841797,
0.06341552734375,
0.009735107421875,
-0.010345458984375,
0.0325927734375,
0.0012826919555664062,
-0.047882080078125,
-0.02471923828125,
-0.05157470703125,
-0.0293731689453125,
0.041900634765625,
-0.08746337890625,
0.027587890625,
-0.049530029296875,
-0.029510498046875,
0.0287322998046875,
-0.003658294677734375,
-0.07745361328125,
0.047119140625,
0.018585205078125,
0.08697509765625,
-0.065185546875,
0.07598876953125,
0.051849365234375,
-0.037750244140625,
-0.0640869140625,
-0.01131439208984375,
-0.0298004150390625,
-0.0723876953125,
0.0595703125,
-0.0031414031982421875,
0.0286102294921875,
0.006443023681640625,
-0.05267333984375,
-0.04693603515625,
0.05499267578125,
0.017791748046875,
-0.0579833984375,
-0.005657196044921875,
0.0056915283203125,
0.059112548828125,
-0.0136871337890625,
0.0457763671875,
0.0180206298828125,
0.01995849609375,
0.01226043701171875,
-0.06744384765625,
-0.0261383056640625,
-0.027984619140625,
0.0156402587890625,
0.00689697265625,
-0.03863525390625,
0.0673828125,
-0.000024378299713134766,
0.03729248046875,
0.021026611328125,
0.051116943359375,
0.0045166015625,
0.0006618499755859375,
0.0251922607421875,
0.06585693359375,
0.045867919921875,
-0.0070648193359375,
0.08404541015625,
-0.045623779296875,
0.055511474609375,
0.09124755859375,
-0.0035457611083984375,
0.0560302734375,
0.0209197998046875,
-0.0157928466796875,
0.0209197998046875,
0.060546875,
-0.041259765625,
0.041595458984375,
0.02197265625,
0.0009784698486328125,
-0.036285400390625,
0.01885986328125,
-0.0489501953125,
0.0246124267578125,
0.0027217864990234375,
-0.055389404296875,
-0.0277252197265625,
-0.01308441162109375,
-0.0100250244140625,
-0.01397705078125,
-0.029327392578125,
0.033599853515625,
-0.03802490234375,
-0.03204345703125,
0.056427001953125,
0.0026798248291015625,
0.0273284912109375,
-0.0570068359375,
-0.0010852813720703125,
0.00794219970703125,
0.0347900390625,
-0.01065826416015625,
-0.047271728515625,
0.0152740478515625,
-0.0019989013671875,
-0.01837158203125,
-0.0024261474609375,
0.04736328125,
-0.022735595703125,
-0.06268310546875,
0.013275146484375,
0.0309906005859375,
0.0289764404296875,
0.00705718994140625,
-0.0889892578125,
0.0007338523864746094,
-0.007320404052734375,
-0.0273590087890625,
0.019439697265625,
0.007404327392578125,
0.0191802978515625,
0.033905029296875,
0.042877197265625,
-0.0001571178436279297,
0.0034999847412109375,
0.01849365234375,
0.071044921875,
-0.043792724609375,
-0.03302001953125,
-0.055389404296875,
0.028228759765625,
-0.0209197998046875,
-0.061767578125,
0.039459228515625,
0.06890869140625,
0.0771484375,
-0.0265045166015625,
0.0474853515625,
-0.0023136138916015625,
0.034576416015625,
-0.0273284912109375,
0.053466796875,
-0.028472900390625,
-0.01486968994140625,
-0.017974853515625,
-0.061431884765625,
0.002193450927734375,
0.062347412109375,
-0.01806640625,
0.011260986328125,
0.0287322998046875,
0.04351806640625,
0.00036406517028808594,
0.01202392578125,
0.0214385986328125,
-0.0056304931640625,
0.0159454345703125,
0.0298919677734375,
0.03460693359375,
-0.05780029296875,
0.03240966796875,
-0.04864501953125,
-0.0079345703125,
-0.01097869873046875,
-0.048736572265625,
-0.07781982421875,
-0.021728515625,
-0.03656005859375,
-0.03826904296875,
0.017852783203125,
0.074951171875,
0.058380126953125,
-0.0458984375,
-0.030548095703125,
0.003330230712890625,
-0.0249786376953125,
-0.0310211181640625,
-0.0127410888671875,
0.03887939453125,
-0.033050537109375,
-0.05645751953125,
-0.0032024383544921875,
-0.0277252197265625,
0.018524169921875,
-0.00977325439453125,
-0.0233001708984375,
-0.0224609375,
-0.0262451171875,
0.0156097412109375,
0.0028400421142578125,
-0.03704833984375,
-0.0295562744140625,
-0.0182342529296875,
-0.01142120361328125,
0.0170135498046875,
0.0167083740234375,
-0.046478271484375,
0.042083740234375,
0.0137481689453125,
0.0292816162109375,
0.054168701171875,
-0.007366180419921875,
0.0230865478515625,
-0.052764892578125,
0.02117919921875,
0.01351165771484375,
0.0287322998046875,
0.005344390869140625,
-0.0225677490234375,
0.03961181640625,
0.0306549072265625,
-0.0390625,
-0.048553466796875,
-0.01971435546875,
-0.07879638671875,
0.005985260009765625,
0.0740966796875,
-0.00927734375,
-0.041168212890625,
0.0306854248046875,
-0.0159149169921875,
0.033355712890625,
-0.0236358642578125,
0.04180908203125,
0.057891845703125,
-0.0085906982421875,
0.01204681396484375,
-0.03277587890625,
0.031646728515625,
0.0290679931640625,
-0.045654296875,
-0.0136871337890625,
0.0238494873046875,
0.0263824462890625,
0.005405426025390625,
0.0200653076171875,
0.00036978721618652344,
0.032318115234375,
-0.0009579658508300781,
0.0419921875,
-0.026580810546875,
-0.02313232421875,
-0.0217742919921875,
0.00748443603515625,
0.00913238525390625,
-0.04248046875
]
] |
VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384 | 2023-10-01T10:30:45.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"multiple-choice",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | multiple-choice | VuongQuoc | null | null | VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384 | 0 | 2 | transformers | 2023-09-30T05:27:13 | ---
base_model: VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: checkpoints_30_9_microsoft_deberta_V1.0_384
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# checkpoints_30_9_microsoft_deberta_V1.0_384
This model is a fine-tuned version of [VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384](https://huggingface.co/VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5746
- Map@3: 0.7625
- Accuracy: 0.655
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200
### Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 1.6081 | 0.05 | 100 | 1.6083 | 0.7092 | 0.585 |
| 1.6107 | 0.11 | 200 | 1.6078 | 0.7375 | 0.625 |
| 1.6077 | 0.16 | 300 | 1.6070 | 0.7517 | 0.65 |
| 1.6097 | 0.21 | 400 | 1.6055 | 0.7542 | 0.645 |
| 1.6083 | 0.27 | 500 | 1.6030 | 0.7650 | 0.65 |
| 1.6006 | 0.32 | 600 | 1.5989 | 0.7733 | 0.665 |
| 1.5932 | 0.37 | 700 | 1.5927 | 0.7742 | 0.66 |
| 1.5881 | 0.43 | 800 | 1.5858 | 0.7742 | 0.665 |
| 1.578 | 0.48 | 900 | 1.5800 | 0.7708 | 0.66 |
| 1.5717 | 0.53 | 1000 | 1.5763 | 0.7658 | 0.655 |
| 1.5677 | 0.59 | 1100 | 1.5748 | 0.7625 | 0.655 |
| 1.5666 | 0.64 | 1200 | 1.5746 | 0.7625 | 0.655 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.9.0
- Tokenizers 0.13.3
| 2,413 | [
[
-0.03192138671875,
-0.03497314453125,
0.01537322998046875,
0.00885772705078125,
-0.0119476318359375,
-0.0120697021484375,
0.00873565673828125,
-0.01314544677734375,
0.0241546630859375,
0.0295257568359375,
-0.0535888671875,
-0.052886962890625,
-0.047271728515625,
-0.01983642578125,
-0.0106353759765625,
0.0665283203125,
-0.0024204254150390625,
0.010589599609375,
-0.003192901611328125,
-0.01220703125,
-0.041015625,
-0.031890869140625,
-0.055572509765625,
-0.0426025390625,
0.015655517578125,
0.029510498046875,
0.059356689453125,
0.048492431640625,
0.03192138671875,
0.0203094482421875,
-0.0298919677734375,
0.0012235641479492188,
-0.033660888671875,
-0.030364990234375,
0.0081787109375,
-0.0321044921875,
-0.042694091796875,
0.00766754150390625,
0.039520263671875,
0.0283660888671875,
-0.0128631591796875,
0.035247802734375,
0.0134124755859375,
0.050079345703125,
-0.037841796875,
0.0149688720703125,
-0.037353515625,
0.021453857421875,
0.0021648406982421875,
-0.021209716796875,
-0.003997802734375,
-0.01462554931640625,
0.0118255615234375,
-0.04864501953125,
0.0312042236328125,
-0.0111236572265625,
0.10186767578125,
0.0196990966796875,
-0.027069091796875,
0.00948333740234375,
-0.054046630859375,
0.053558349609375,
-0.041351318359375,
0.006862640380859375,
0.0330810546875,
0.026214599609375,
0.0048370361328125,
-0.050323486328125,
-0.044677734375,
0.01258087158203125,
0.0005135536193847656,
0.02130126953125,
-0.0236663818359375,
-0.01102447509765625,
0.043487548828125,
0.04046630859375,
-0.048583984375,
0.0171051025390625,
-0.0479736328125,
-0.02301025390625,
0.040618896484375,
0.04046630859375,
-0.0041961669921875,
-0.021453857421875,
-0.042877197265625,
-0.00855255126953125,
-0.0345458984375,
0.024017333984375,
0.031646728515625,
0.0128173828125,
-0.028839111328125,
0.031951904296875,
-0.0189208984375,
0.052215576171875,
-0.00044608116149902344,
-0.01401519775390625,
0.05975341796875,
-0.01119232177734375,
-0.03607177734375,
0.00141143798828125,
0.05450439453125,
0.050567626953125,
0.003047943115234375,
0.0177764892578125,
-0.01239776611328125,
-0.004322052001953125,
0.0198516845703125,
-0.06463623046875,
-0.02215576171875,
0.02667236328125,
-0.03350830078125,
-0.040802001953125,
0.00533294677734375,
-0.043487548828125,
0.00922393798828125,
-0.041259765625,
0.03411865234375,
-0.031494140625,
-0.01091766357421875,
0.006275177001953125,
-0.005825042724609375,
0.024017333984375,
0.0269012451171875,
-0.0556640625,
0.01345062255859375,
0.030487060546875,
0.0655517578125,
0.01384735107421875,
-0.020660400390625,
-0.01415252685546875,
0.00640106201171875,
-0.0269012451171875,
0.03741455078125,
-0.01380157470703125,
-0.034942626953125,
-0.0031147003173828125,
0.0251007080078125,
-0.0229644775390625,
-0.032135009765625,
0.052703857421875,
-0.02783203125,
0.0159149169921875,
-0.0285491943359375,
-0.03692626953125,
-0.0248565673828125,
0.03570556640625,
-0.046051025390625,
0.10400390625,
0.0161895751953125,
-0.06353759765625,
0.04339599609375,
-0.03839111328125,
0.00876617431640625,
0.0021533966064453125,
-0.0114288330078125,
-0.06097412109375,
-0.01551055908203125,
0.01558685302734375,
0.0268096923828125,
-0.023651123046875,
0.01230621337890625,
-0.015655517578125,
-0.037872314453125,
-0.0088043212890625,
-0.027313232421875,
0.07684326171875,
0.022003173828125,
-0.048004150390625,
0.0085906982421875,
-0.08648681640625,
0.0241546630859375,
0.0236053466796875,
-0.030242919921875,
-0.001422882080078125,
-0.0232696533203125,
0.0193634033203125,
0.0278778076171875,
0.023651123046875,
-0.038177490234375,
0.0197296142578125,
-0.01444244384765625,
0.030914306640625,
0.05084228515625,
0.00555419921875,
0.01336669921875,
-0.035064697265625,
0.033111572265625,
0.03265380859375,
0.028411865234375,
0.00856781005859375,
-0.03985595703125,
-0.0640869140625,
-0.034576416015625,
0.00970458984375,
0.044097900390625,
-0.0229339599609375,
0.0543212890625,
-0.01171875,
-0.058258056640625,
-0.0222930908203125,
0.00033974647521972656,
0.0238494873046875,
0.046722412109375,
0.034637451171875,
-0.01045989990234375,
-0.032623291015625,
-0.0799560546875,
0.0029239654541015625,
-0.00731658935546875,
0.0121917724609375,
0.022125244140625,
0.061981201171875,
-0.01885986328125,
0.06854248046875,
-0.050262451171875,
-0.0323486328125,
-0.01031494140625,
0.004535675048828125,
0.036163330078125,
0.059051513671875,
0.0693359375,
-0.035919189453125,
-0.0281524658203125,
-0.01230621337890625,
-0.056732177734375,
0.0275726318359375,
-0.01161956787109375,
-0.0186309814453125,
-0.0086822509765625,
0.0159454345703125,
-0.03448486328125,
0.06292724609375,
0.03546142578125,
-0.0338134765625,
0.053955078125,
-0.036041259765625,
0.0102691650390625,
-0.08392333984375,
0.0188751220703125,
0.0005636215209960938,
-0.01715087890625,
-0.0285491943359375,
-0.01311492919921875,
0.006282806396484375,
-0.0195159912109375,
-0.026092529296875,
0.039703369140625,
-0.022705078125,
0.01551055908203125,
-0.00836944580078125,
-0.014373779296875,
0.005855560302734375,
0.049652099609375,
0.007366180419921875,
0.051513671875,
0.0633544921875,
-0.037811279296875,
0.016387939453125,
0.0279998779296875,
-0.042572021484375,
0.04010009765625,
-0.06512451171875,
0.006374359130859375,
-0.0035915374755859375,
-0.002696990966796875,
-0.074951171875,
-0.007568359375,
0.0211181640625,
-0.027679443359375,
0.01520538330078125,
-0.0130157470703125,
-0.021636962890625,
-0.050933837890625,
-0.019500732421875,
0.00955963134765625,
0.038848876953125,
-0.03509521484375,
0.024749755859375,
0.0031414031982421875,
0.025543212890625,
-0.046600341796875,
-0.05987548828125,
-0.0103912353515625,
-0.0148773193359375,
-0.041534423828125,
0.0294342041015625,
0.004833221435546875,
0.004627227783203125,
-0.00342559814453125,
-0.0047760009765625,
-0.0182952880859375,
0.005901336669921875,
0.0333251953125,
0.0261383056640625,
-0.0133056640625,
-0.006633758544921875,
-0.0038089752197265625,
-0.0177154541015625,
0.007747650146484375,
-0.01261138916015625,
0.041961669921875,
-0.0091094970703125,
-0.025848388671875,
-0.06439208984375,
0.0004515647888183594,
0.04461669921875,
-0.0184326171875,
0.08648681640625,
0.046600341796875,
-0.036590576171875,
0.002307891845703125,
-0.0288848876953125,
-0.0071258544921875,
-0.031036376953125,
0.0291595458984375,
-0.0413818359375,
-0.032135009765625,
0.0640869140625,
0.0014562606811523438,
0.00974273681640625,
0.0670166015625,
0.03802490234375,
0.004547119140625,
0.07305908203125,
0.0236358642578125,
-0.00687408447265625,
0.0282440185546875,
-0.07476806640625,
-0.0077056884765625,
-0.059478759765625,
-0.043548583984375,
-0.043914794921875,
-0.030059814453125,
-0.03900146484375,
-0.01412200927734375,
0.01605224609375,
0.01788330078125,
-0.055572509765625,
0.022125244140625,
-0.053466796875,
0.0216522216796875,
0.06048583984375,
0.03497314453125,
0.00211334228515625,
0.005680084228515625,
-0.029266357421875,
-0.01247406005859375,
-0.05560302734375,
-0.04345703125,
0.0902099609375,
0.022735595703125,
0.037872314453125,
-0.0066986083984375,
0.058441162109375,
0.00623321533203125,
0.0033473968505859375,
-0.03277587890625,
0.0197296142578125,
0.0159149169921875,
-0.07318115234375,
-0.01128387451171875,
-0.028411865234375,
-0.0694580078125,
0.0215301513671875,
-0.023651123046875,
-0.0692138671875,
0.04205322265625,
0.026214599609375,
-0.036834716796875,
0.0394287109375,
-0.032012939453125,
0.08636474609375,
-0.0114288330078125,
-0.0316162109375,
-0.0089111328125,
-0.04034423828125,
0.012054443359375,
0.0013475418090820312,
-0.004673004150390625,
-0.01163482666015625,
0.00616455078125,
0.06536865234375,
-0.058441162109375,
0.046875,
-0.024444580078125,
0.0196533203125,
0.041168212890625,
-0.008087158203125,
0.050018310546875,
0.012054443359375,
-0.018280029296875,
0.0138092041015625,
0.0116119384765625,
-0.051513671875,
-0.0281829833984375,
0.061553955078125,
-0.08551025390625,
-0.0262603759765625,
-0.05194091796875,
-0.0297393798828125,
0.01157379150390625,
0.01898193359375,
0.04278564453125,
0.046661376953125,
-0.007053375244140625,
0.01500701904296875,
0.038818359375,
-0.00826263427734375,
0.0258026123046875,
0.03240966796875,
-0.0032196044921875,
-0.0479736328125,
0.059173583984375,
0.0149688720703125,
0.01561737060546875,
0.0029659271240234375,
0.006282806396484375,
-0.024078369140625,
-0.031097412109375,
-0.03570556640625,
0.0086822509765625,
-0.049163818359375,
-0.015777587890625,
-0.040985107421875,
-0.019256591796875,
-0.0328369140625,
-0.01383209228515625,
-0.0343017578125,
-0.02618408203125,
-0.04302978515625,
-0.01837158203125,
0.04010009765625,
0.034942626953125,
0.003986358642578125,
0.0357666015625,
-0.0499267578125,
-0.00795745849609375,
0.006465911865234375,
0.00506591796875,
0.004150390625,
-0.061492919921875,
-0.0244903564453125,
-0.0008668899536132812,
-0.047454833984375,
-0.05633544921875,
0.044342041015625,
0.0002560615539550781,
0.04730224609375,
0.039886474609375,
-0.01078033447265625,
0.0718994140625,
-0.019378662109375,
0.0657958984375,
0.032958984375,
-0.051605224609375,
0.044097900390625,
-0.0197601318359375,
0.02960205078125,
0.05767822265625,
0.043121337890625,
-0.019439697265625,
-0.005146026611328125,
-0.08251953125,
-0.06591796875,
0.0625,
0.032684326171875,
0.0020751953125,
0.00827789306640625,
0.03411865234375,
-0.0291595458984375,
0.019500732421875,
-0.059661865234375,
-0.0477294921875,
-0.0201263427734375,
-0.006038665771484375,
-0.00567626953125,
-0.016632080078125,
-0.0113983154296875,
-0.047332763671875,
0.06494140625,
0.005615234375,
0.0243682861328125,
0.0247039794921875,
0.01383209228515625,
-0.0015277862548828125,
-0.0036468505859375,
0.044097900390625,
0.06512451171875,
-0.0372314453125,
-0.010406494140625,
0.0152587890625,
-0.041748046875,
0.007167816162109375,
0.007633209228515625,
-0.0269775390625,
0.00873565673828125,
0.0303955078125,
0.06951904296875,
0.0053253173828125,
-0.0097198486328125,
0.04180908203125,
0.00746917724609375,
-0.03759765625,
-0.0430908203125,
0.0014972686767578125,
-0.006439208984375,
0.0220794677734375,
0.0205535888671875,
0.025543212890625,
0.005794525146484375,
-0.0297393798828125,
0.005962371826171875,
0.0205230712890625,
-0.054290771484375,
-0.00856781005859375,
0.0704345703125,
0.0014543533325195312,
-0.012115478515625,
0.059295654296875,
-0.004810333251953125,
-0.039459228515625,
0.071044921875,
0.02783203125,
0.0609130859375,
-0.0199737548828125,
0.006725311279296875,
0.08197021484375,
0.0288848876953125,
-0.0016841888427734375,
0.04412841796875,
0.01361846923828125,
-0.0260162353515625,
0.0036163330078125,
-0.046600341796875,
-0.0062408447265625,
0.030029296875,
-0.07757568359375,
0.0350341796875,
-0.028228759765625,
-0.03643798828125,
-0.0015573501586914062,
0.01190948486328125,
-0.0745849609375,
0.04449462890625,
-0.00632476806640625,
0.07940673828125,
-0.06597900390625,
0.053436279296875,
0.04296875,
-0.0455322265625,
-0.077880859375,
-0.0267181396484375,
-0.0036163330078125,
-0.06597900390625,
0.050750732421875,
0.01372528076171875,
0.020904541015625,
-0.00007653236389160156,
-0.034912109375,
-0.06292724609375,
0.0908203125,
0.0113983154296875,
-0.062286376953125,
0.0088348388671875,
0.0185394287109375,
0.039306640625,
-0.0111236572265625,
0.040313720703125,
0.028717041015625,
0.0224151611328125,
0.01568603515625,
-0.05963134765625,
0.00714874267578125,
-0.01904296875,
0.0035037994384765625,
0.01007080078125,
-0.059295654296875,
0.079345703125,
-0.01334381103515625,
0.0257415771484375,
0.00955963134765625,
0.047454833984375,
0.0231781005859375,
0.019805908203125,
0.033660888671875,
0.07501220703125,
0.05743408203125,
-0.0185394287109375,
0.075927734375,
-0.039947509765625,
0.062225341796875,
0.080322265625,
0.00316619873046875,
0.04803466796875,
0.028900146484375,
-0.02728271484375,
0.035308837890625,
0.0709228515625,
-0.017791748046875,
0.03350830078125,
0.0160980224609375,
-0.0138092041015625,
-0.03240966796875,
0.0229339599609375,
-0.054229736328125,
0.015472412109375,
0.00034737586975097656,
-0.0545654296875,
-0.02008056640625,
-0.01197052001953125,
0.005054473876953125,
-0.0144195556640625,
-0.03204345703125,
0.0307464599609375,
-0.0218658447265625,
-0.0280303955078125,
0.05963134765625,
-0.0034885406494140625,
0.0176849365234375,
-0.047149658203125,
-0.0033416748046875,
-0.00681304931640625,
0.03912353515625,
-0.034149169921875,
-0.0523681640625,
0.007476806640625,
-0.0001690387725830078,
-0.01678466796875,
0.006511688232421875,
0.018890380859375,
-0.0068206787109375,
-0.0614013671875,
0.0107574462890625,
0.0157318115234375,
0.0152435302734375,
-0.00527191162109375,
-0.07598876953125,
-0.007785797119140625,
0.0036182403564453125,
-0.0452880859375,
0.0069732666015625,
0.0340576171875,
0.0031414031982421875,
0.03399658203125,
0.0386962890625,
-0.01108551025390625,
0.01483154296875,
0.002414703369140625,
0.08575439453125,
-0.048187255859375,
-0.04327392578125,
-0.052276611328125,
0.035888671875,
-0.0199127197265625,
-0.06744384765625,
0.0631103515625,
0.08306884765625,
0.050628662109375,
-0.00824737548828125,
0.040802001953125,
-0.0055389404296875,
0.025543212890625,
-0.0369873046875,
0.04052734375,
-0.05682373046875,
-0.005615234375,
-0.0239410400390625,
-0.0633544921875,
-0.01102447509765625,
0.0545654296875,
-0.035003662109375,
0.01163482666015625,
0.037811279296875,
0.062408447265625,
0.005374908447265625,
0.0017290115356445312,
0.0112762451171875,
-0.0031986236572265625,
0.0198516845703125,
0.0457763671875,
0.037261962890625,
-0.067138671875,
0.0382080078125,
-0.04461669921875,
-0.01215362548828125,
-0.004878997802734375,
-0.045867919921875,
-0.0670166015625,
-0.030242919921875,
-0.0484619140625,
-0.04510498046875,
-0.01114654541015625,
0.06805419921875,
0.060089111328125,
-0.04974365234375,
-0.01180267333984375,
-0.0153350830078125,
-0.0213470458984375,
-0.02960205078125,
-0.01537322998046875,
0.04888916015625,
-0.008148193359375,
-0.06524658203125,
-0.00937652587890625,
-0.0115509033203125,
0.0304718017578125,
-0.015228271484375,
-0.0135345458984375,
-0.0208740234375,
-0.00943756103515625,
0.0177001953125,
0.007747650146484375,
-0.0296783447265625,
-0.012298583984375,
-0.006694793701171875,
-0.0157318115234375,
0.0247955322265625,
0.0265655517578125,
-0.0400390625,
0.033050537109375,
0.0265655517578125,
0.01410675048828125,
0.06878662109375,
-0.007526397705078125,
0.006755828857421875,
-0.034820556640625,
0.03167724609375,
0.01139068603515625,
0.0312042236328125,
0.0007343292236328125,
-0.0281219482421875,
0.042022705078125,
0.03558349609375,
-0.04754638671875,
-0.05877685546875,
-0.0180206298828125,
-0.0860595703125,
0.0029087066650390625,
0.0775146484375,
-0.01473236083984375,
-0.036529541015625,
0.01104736328125,
-0.0212554931640625,
0.006671905517578125,
-0.020751953125,
0.034393310546875,
0.049896240234375,
-0.0038700103759765625,
0.01404571533203125,
-0.049285888671875,
0.0311126708984375,
0.01568603515625,
-0.046905517578125,
-0.0196533203125,
0.026458740234375,
0.035919189453125,
0.01398468017578125,
0.037750244140625,
-0.01108551025390625,
0.0223846435546875,
0.018829345703125,
0.0184783935546875,
-0.0145111083984375,
-0.01383209228515625,
-0.02093505859375,
0.00865936279296875,
0.00444793701171875,
-0.04791259765625
]
] |
Heralax/MythoMakiseMerged-13b | 2023-10-23T09:42:30.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Heralax | null | null | Heralax/MythoMakiseMerged-13b | 4 | 2 | transformers | 2023-09-30T06:59:22 | ---
license: llama2
---
## KEY DETAILS
Prompt format: SillyTavern
Base model: MythoMax-L2-13b
What's new: finetuned on the script of a visual novel that was processed and revamped by GPT-4 to make ~1300 high-quality training examples. The end goal was a model that could speak like a specific character from that game, but the end result was a model that seems to excel in banter, conversation, and roleplay overall.
Note: compared to the original MythoMakise-13b, this model has 33% of MythoMax-L2-13b merged back into it, so that it better retains MythoMax's intelligence with MythoMakise's personality and style. The result of this seems to be pretty good so far. Ironcially, the model seems better at roleplaying characters other than the one it was originally created to mimic.
### LONG FORM
A finetune of MythoMax-13b on lines extracted from the script of Steins;Gate. Rather than simply giving the model "previous line\nline to predict" a custom script was used to group conversations into training examples.
Despite being finetuned on one character's lines from one visual novel, I've found (at least in my initial testing) that the model does an excellent job of roleplaying other characters too, probably because the creative writing GPT-4 did on top of the already-well-written Steins;Gate script was very high-quality. The model might be best at roleplaying characters if the personality of that character is similar to the character it was originally made to act like.
Besides being built for RP, I bet that this model could be used in any generic conversational role. Just don't expect it to be accurate, or good at anything other than talking.
The model is not censored.
This variation has MythoMax merged back into it with 33% weighting to make it more stable and intelligent while retaining its Kurisu-ness and better personality. In my experience, this seems to be the decisive change that led to higher-quality outputs.
### Prompt format
I know it's wasteful as hell, don't judge me, this is the SillyTavern prompt format (discovered using the simple proxy for ST). I finetuned the model on this so that it would perform better on that frontend.
```
## {{charname}}:
- You're "{{charname}}" in this never-ending roleplay with "{{user}}".
### Input:\n
[user description (note, square brackets are a part of it)]
Description of the character's personality would go here (a 'character card')
### Response:
(OOC) Understood. I will take this info into account for the roleplay. (end OOC)
### New Roleplay:
### Instruction:
#### {{char}}:
whatever the char says, this is the chat history
#### {{user}}:
whatever the user says, this is the chat history
... repeated some number of times ...
### Response 2 paragraphs, engaging, natural, authentic, descriptive, creative):
#### {char}:
```
| 2,813 | [
[
-0.03741455078125,
-0.059356689453125,
0.0443115234375,
-0.0146026611328125,
-0.011199951171875,
-0.01140594482421875,
-0.004871368408203125,
-0.02593994140625,
0.0406494140625,
0.05743408203125,
-0.04168701171875,
-0.021820068359375,
-0.030914306640625,
0.0141143798828125,
0.0006074905395507812,
0.08380126953125,
0.02789306640625,
-0.00579833984375,
-0.0038318634033203125,
0.0022487640380859375,
-0.0760498046875,
-0.04119873046875,
-0.062744140625,
-0.0264434814453125,
0.04901123046875,
0.04296875,
0.06988525390625,
0.0587158203125,
0.00499725341796875,
0.030059814453125,
-0.005008697509765625,
0.0222015380859375,
-0.07281494140625,
0.0200347900390625,
-0.027374267578125,
-0.05609130859375,
-0.045654296875,
0.0166473388671875,
0.04998779296875,
0.01326751708984375,
-0.018829345703125,
-0.002033233642578125,
-0.01143646240234375,
-0.00014209747314453125,
-0.02099609375,
0.03314208984375,
-0.0093231201171875,
-0.0037708282470703125,
-0.0175628662109375,
-0.0108642578125,
-0.033843994140625,
-0.0316162109375,
0.01287841796875,
-0.07275390625,
0.00485992431640625,
0.028350830078125,
0.07452392578125,
0.004131317138671875,
-0.024139404296875,
-0.01520538330078125,
-0.05645751953125,
0.04803466796875,
-0.061798095703125,
0.0020503997802734375,
0.024383544921875,
0.052886962890625,
-0.0203857421875,
-0.0833740234375,
-0.05731201171875,
-0.03631591796875,
-0.006954193115234375,
0.01557159423828125,
-0.038177490234375,
-0.0012845993041992188,
0.0496826171875,
0.02532958984375,
-0.030487060546875,
0.01169586181640625,
-0.046234130859375,
-0.01788330078125,
0.031982421875,
0.0293121337890625,
0.025909423828125,
-0.04058837890625,
-0.0286102294921875,
-0.0276031494140625,
-0.0361328125,
0.00841522216796875,
0.046234130859375,
0.006984710693359375,
-0.00717926025390625,
0.049285888671875,
0.006740570068359375,
0.038970947265625,
0.027801513671875,
-0.01430511474609375,
0.0022869110107421875,
-0.0076904296875,
-0.0201568603515625,
-0.0114593505859375,
0.049713134765625,
0.05023193359375,
0.043914794921875,
0.006305694580078125,
0.004817962646484375,
0.00250244140625,
0.047821044921875,
-0.0633544921875,
-0.039520263671875,
0.0035152435302734375,
-0.035247802734375,
-0.0284423828125,
-0.005298614501953125,
-0.05224609375,
-0.034698486328125,
-0.0211944580078125,
0.0297393798828125,
-0.05743408203125,
-0.0244140625,
-0.003086090087890625,
-0.020721435546875,
0.0007624626159667969,
0.02618408203125,
-0.07086181640625,
0.033050537109375,
0.03680419921875,
0.052886962890625,
-0.0139923095703125,
-0.020599365234375,
-0.038299560546875,
-0.0203704833984375,
-0.04144287109375,
0.0626220703125,
-0.02685546875,
-0.03289794921875,
-0.030731201171875,
0.0016222000122070312,
-0.0029850006103515625,
-0.033966064453125,
0.033935546875,
-0.034942626953125,
0.0419921875,
-0.033172607421875,
-0.043243408203125,
-0.0298004150390625,
0.0185546875,
-0.055206298828125,
0.03887939453125,
0.0199127197265625,
-0.032318115234375,
0.0259857177734375,
-0.0439453125,
0.01062774658203125,
0.0292816162109375,
-0.0035228729248046875,
-0.01068878173828125,
0.0014829635620117188,
-0.002017974853515625,
0.02789306640625,
-0.02655029296875,
0.01314544677734375,
-0.035308837890625,
-0.036102294921875,
0.0281219482421875,
-0.0189361572265625,
0.05572509765625,
0.0274505615234375,
-0.01076507568359375,
-0.004119873046875,
-0.03668212890625,
0.0114898681640625,
0.0019159317016601562,
0.008270263671875,
-0.01092529296875,
-0.0113983154296875,
-0.00020837783813476562,
0.009124755859375,
0.00545501708984375,
-0.03216552734375,
0.033050537109375,
-0.036590576171875,
0.0266876220703125,
0.045989990234375,
0.0163116455078125,
0.0232391357421875,
-0.042266845703125,
0.056243896484375,
-0.024383544921875,
0.012115478515625,
-0.0035762786865234375,
-0.05743408203125,
-0.056976318359375,
-0.041107177734375,
0.01474761962890625,
0.04827880859375,
-0.05792236328125,
0.022552490234375,
0.008331298828125,
-0.048828125,
-0.01062774658203125,
-0.031982421875,
0.0293121337890625,
0.0516357421875,
0.025848388671875,
-0.028228759765625,
-0.036865234375,
-0.07000732421875,
-0.01309967041015625,
-0.0445556640625,
0.00586700439453125,
0.040374755859375,
0.0219268798828125,
-0.03277587890625,
0.0770263671875,
-0.05218505859375,
0.0022258758544921875,
-0.045654296875,
0.01654052734375,
0.0244598388671875,
0.029876708984375,
0.05792236328125,
-0.054107666015625,
-0.0200958251953125,
-0.00887298583984375,
-0.047149658203125,
-0.01212310791015625,
-0.0028438568115234375,
-0.0055389404296875,
0.004314422607421875,
0.01204681396484375,
-0.07012939453125,
0.03265380859375,
0.01043701171875,
-0.0418701171875,
0.06787109375,
-0.015472412109375,
0.04656982421875,
-0.09674072265625,
0.01071929931640625,
-0.022491455078125,
-0.00400543212890625,
-0.05816650390625,
0.0139007568359375,
-0.0228729248046875,
-0.0179595947265625,
-0.0204925537109375,
0.060333251953125,
-0.0247802734375,
0.00872802734375,
-0.01206207275390625,
-0.0015869140625,
-0.010498046875,
0.038726806640625,
-0.00708770751953125,
0.0606689453125,
0.0421142578125,
-0.039642333984375,
0.0657958984375,
0.03009033203125,
-0.010162353515625,
0.057708740234375,
-0.0654296875,
0.0176849365234375,
-0.0189056396484375,
0.0139923095703125,
-0.09857177734375,
-0.0447998046875,
0.040435791015625,
-0.044036865234375,
0.03570556640625,
-0.02862548828125,
-0.03729248046875,
-0.036529541015625,
-0.005657196044921875,
0.0096435546875,
0.0458984375,
-0.018951416015625,
0.058624267578125,
0.0255279541015625,
-0.022216796875,
-0.0298004150390625,
-0.0538330078125,
0.027008056640625,
-0.0340576171875,
-0.051025390625,
0.0166015625,
-0.0229949951171875,
-0.0079498291015625,
-0.0206146240234375,
0.007419586181640625,
-0.020355224609375,
-0.0215301513671875,
0.0176239013671875,
0.032073974609375,
-0.03240966796875,
-0.00441741943359375,
-0.00955963134765625,
-0.008819580078125,
-0.0048828125,
-0.0078277587890625,
0.036865234375,
-0.031646728515625,
-0.0014619827270507812,
-0.03704833984375,
0.023193359375,
0.05120849609375,
0.00069427490234375,
0.03326416015625,
0.03350830078125,
-0.01580810546875,
-0.0009546279907226562,
-0.049835205078125,
-0.0193328857421875,
-0.037689208984375,
0.0292510986328125,
-0.020660400390625,
-0.065673828125,
0.03594970703125,
0.019866943359375,
0.004520416259765625,
0.0313720703125,
0.0240631103515625,
-0.010162353515625,
0.0635986328125,
0.0546875,
0.0241546630859375,
0.0154876708984375,
-0.01275634765625,
0.0176849365234375,
-0.025787353515625,
-0.027313232421875,
-0.019073486328125,
-0.01324462890625,
-0.06573486328125,
-0.02911376953125,
0.0220947265625,
-0.0017910003662109375,
-0.0120697021484375,
0.060333251953125,
-0.018310546875,
0.0245513916015625,
0.03167724609375,
0.004444122314453125,
0.003505706787109375,
0.000789642333984375,
0.00853729248046875,
-0.03338623046875,
-0.0648193359375,
-0.05389404296875,
0.06500244140625,
0.041107177734375,
0.0732421875,
0.036102294921875,
0.0516357421875,
0.01279449462890625,
0.014068603515625,
-0.0513916015625,
0.05120849609375,
-0.01084136962890625,
-0.048431396484375,
-0.023223876953125,
-0.038482666015625,
-0.05230712890625,
-0.0007047653198242188,
-0.025177001953125,
-0.07421875,
0.0264434814453125,
0.04302978515625,
-0.0572509765625,
0.01267242431640625,
-0.0828857421875,
0.08062744140625,
0.00872802734375,
-0.019073486328125,
-0.0132598876953125,
-0.045806884765625,
0.05084228515625,
0.014007568359375,
-0.027862548828125,
0.0275421142578125,
0.01094818115234375,
0.04852294921875,
-0.0296783447265625,
0.059906005859375,
0.0016279220581054688,
0.01331329345703125,
0.03955078125,
0.029632568359375,
0.0276947021484375,
0.019683837890625,
0.0164337158203125,
0.004306793212890625,
0.01885986328125,
-0.0080108642578125,
-0.060760498046875,
0.0587158203125,
-0.06097412109375,
-0.0511474609375,
-0.043792724609375,
-0.042877197265625,
-0.01006317138671875,
0.01358795166015625,
0.0408935546875,
0.053863525390625,
-0.033843994140625,
0.01428985595703125,
0.08172607421875,
-0.0210113525390625,
0.01428985595703125,
0.026092529296875,
-0.0164031982421875,
-0.03289794921875,
0.05242919921875,
0.0125579833984375,
0.02142333984375,
0.0231170654296875,
0.0200042724609375,
-0.041900634765625,
0.00426483154296875,
-0.035186767578125,
0.03289794921875,
-0.03955078125,
-0.0028514862060546875,
-0.062744140625,
-0.0123443603515625,
-0.03753662109375,
0.0113983154296875,
-0.0211334228515625,
-0.049468994140625,
-0.040191650390625,
0.0018377304077148438,
0.034912109375,
0.06396484375,
-0.004337310791015625,
0.039459228515625,
-0.023651123046875,
0.028411865234375,
0.053863525390625,
0.00974273681640625,
-0.01224517822265625,
-0.06085205078125,
0.019256591796875,
-0.0067596435546875,
-0.0169677734375,
-0.08233642578125,
0.0220489501953125,
0.0028209686279296875,
0.041534423828125,
0.035064697265625,
-0.0179443359375,
0.038818359375,
-0.04449462890625,
0.072265625,
0.01873779296875,
-0.039215087890625,
0.0181732177734375,
-0.03997802734375,
0.0171661376953125,
0.0217132568359375,
0.021484375,
-0.053863525390625,
-0.01236724853515625,
-0.06658935546875,
-0.0233612060546875,
0.0660400390625,
0.023895263671875,
0.01241302490234375,
-0.01396942138671875,
0.0350341796875,
0.0038890838623046875,
0.019195556640625,
-0.048797607421875,
-0.0328369140625,
-0.04718017578125,
0.01039886474609375,
-0.0134735107421875,
-0.03680419921875,
0.0008320808410644531,
-0.004119873046875,
0.041259765625,
0.00492095947265625,
0.046661376953125,
-0.0139312744140625,
0.018768310546875,
0.01276397705078125,
0.01427459716796875,
0.053375244140625,
0.05389404296875,
-0.0207672119140625,
0.004947662353515625,
0.01181793212890625,
-0.05950927734375,
-0.0028228759765625,
0.0200347900390625,
-0.00010687112808227539,
-0.005146026611328125,
0.033843994140625,
0.07183837890625,
0.0152435302734375,
-0.0221405029296875,
0.040008544921875,
-0.0072174072265625,
0.0009617805480957031,
-0.0123748779296875,
0.0538330078125,
-0.01018524169921875,
0.0245208740234375,
0.007488250732421875,
0.02886962890625,
0.01441192626953125,
-0.059844970703125,
0.03118896484375,
0.0078277587890625,
-0.015380859375,
-0.0164794921875,
0.0557861328125,
0.0081787109375,
-0.039642333984375,
0.0272674560546875,
-0.0119476318359375,
-0.022125244140625,
0.04608154296875,
0.054412841796875,
0.0582275390625,
-0.023956298828125,
0.034637451171875,
0.03802490234375,
0.0226287841796875,
-0.0118255615234375,
0.016448974609375,
0.006336212158203125,
-0.0304107666015625,
-0.019195556640625,
-0.01346588134765625,
-0.0268707275390625,
0.015869140625,
-0.03729248046875,
0.033294677734375,
-0.053253173828125,
-0.02886962890625,
-0.009002685546875,
0.0070953369140625,
-0.049102783203125,
0.0218963623046875,
0.0031261444091796875,
0.075439453125,
-0.054290771484375,
0.040069580078125,
0.050537109375,
-0.04742431640625,
-0.07623291015625,
-0.0087738037109375,
0.01324462890625,
-0.0511474609375,
0.036163330078125,
-0.0013151168823242188,
-0.0013265609741210938,
0.01204681396484375,
-0.053863525390625,
-0.06646728515625,
0.0899658203125,
0.020599365234375,
-0.03729248046875,
-0.021026611328125,
-0.0115966796875,
0.054046630859375,
-0.0408935546875,
0.04327392578125,
0.033660888671875,
0.0284881591796875,
0.0062713623046875,
-0.060699462890625,
0.006084442138671875,
-0.0223236083984375,
0.0190887451171875,
-0.0192413330078125,
-0.047149658203125,
0.0760498046875,
-0.020660400390625,
-0.024322509765625,
0.03924560546875,
0.06524658203125,
0.0330810546875,
-0.004947662353515625,
0.04278564453125,
0.0325927734375,
0.05975341796875,
-0.006778717041015625,
0.0814208984375,
0.00438690185546875,
0.006679534912109375,
0.074462890625,
0.0012836456298828125,
0.03338623046875,
0.016143798828125,
0.0159912109375,
0.04644775390625,
0.033935546875,
-0.005855560302734375,
0.042755126953125,
-0.0011501312255859375,
0.00623321533203125,
-0.0183563232421875,
0.0106964111328125,
-0.02984619140625,
0.0261993408203125,
0.01136016845703125,
-0.004398345947265625,
-0.01445770263671875,
-0.0030498504638671875,
0.0177459716796875,
0.008819580078125,
-0.010009765625,
0.03033447265625,
0.0014553070068359375,
-0.07373046875,
0.042083740234375,
0.00910186767578125,
0.043212890625,
-0.0789794921875,
-0.0255889892578125,
-0.029998779296875,
0.00707244873046875,
0.004489898681640625,
-0.06591796875,
-0.004756927490234375,
-0.001926422119140625,
-0.029449462890625,
-0.0139312744140625,
0.04779052734375,
-0.035491943359375,
-0.0148773193359375,
-0.01244354248046875,
0.01056671142578125,
0.03472900390625,
0.018768310546875,
-0.0386962890625,
0.00797271728515625,
0.0028438568115234375,
0.011474609375,
-0.00597381591796875,
0.034912109375,
-0.010009765625,
0.045928955078125,
0.02069091796875,
-0.0019321441650390625,
-0.0177154541015625,
-0.008453369140625,
0.056884765625,
-0.039215087890625,
-0.07196044921875,
-0.034637451171875,
0.04730224609375,
-0.0257568359375,
-0.07672119140625,
0.06280517578125,
0.0216827392578125,
0.033111572265625,
-0.0222015380859375,
0.0328369140625,
-0.0221405029296875,
0.041748046875,
-0.038482666015625,
0.0662841796875,
-0.026702880859375,
0.00820159912109375,
-0.03594970703125,
-0.06890869140625,
0.01496124267578125,
0.049896240234375,
-0.01532745361328125,
0.01511383056640625,
0.0517578125,
0.079345703125,
-0.0289154052734375,
0.00957489013671875,
0.034454345703125,
0.0325927734375,
0.0216827392578125,
0.045318603515625,
0.07025146484375,
-0.0299835205078125,
0.029571533203125,
0.006771087646484375,
-0.049285888671875,
-0.01457977294921875,
-0.061248779296875,
-0.09539794921875,
-0.0439453125,
-0.01331329345703125,
-0.039398193359375,
0.02099609375,
0.061187744140625,
0.0616455078125,
-0.040435791015625,
-0.022796630859375,
0.01837158203125,
-0.01532745361328125,
-0.020294189453125,
-0.01904296875,
-0.004207611083984375,
-0.0010223388671875,
-0.035919189453125,
0.034423828125,
0.0009851455688476562,
0.01267242431640625,
-0.021728515625,
-0.006336212158203125,
-0.005462646484375,
0.00838470458984375,
0.041656494140625,
0.04541015625,
-0.05889892578125,
-0.036895751953125,
0.023956298828125,
-0.0162506103515625,
-0.02203369140625,
0.044769287109375,
-0.053985595703125,
0.041595458984375,
0.0208587646484375,
0.0166168212890625,
0.0582275390625,
-0.00016105175018310547,
0.0667724609375,
-0.039337158203125,
-0.0031642913818359375,
0.0273590087890625,
0.0114898681640625,
0.028228759765625,
-0.045501708984375,
0.0176849365234375,
0.042083740234375,
-0.043121337890625,
-0.043975830078125,
0.0234832763671875,
-0.080810546875,
-0.015838623046875,
0.09051513671875,
-0.00046706199645996094,
-0.0171356201171875,
-0.00753021240234375,
-0.052642822265625,
0.005481719970703125,
-0.032562255859375,
0.04443359375,
0.06463623046875,
-0.01314544677734375,
-0.0236663818359375,
-0.041259765625,
0.052978515625,
0.01629638671875,
-0.05218505859375,
-0.004558563232421875,
0.0672607421875,
0.037689208984375,
0.02252197265625,
0.0462646484375,
-0.0016832351684570312,
0.05084228515625,
0.00402069091796875,
-0.0040740966796875,
-0.02349853515625,
-0.038482666015625,
-0.00624847412109375,
0.0026302337646484375,
-0.0202484130859375,
-0.003894805908203125
]
] |
TheBloke/samantha-mistral-7B-AWQ | 2023-09-30T10:33:58.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/samantha-mistral-7B-AWQ | 2 | 2 | transformers | 2023-09-30T09:58:24 | ---
base_model: ehartford/samantha-mistral-7b
inference: false
license: apache-2.0
model_creator: Eric Hartford
model_name: Samantha Mistral 7B
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
</div>
<div style="display: flex; flex-direction: column; align-items: flex-end;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# Samantha Mistral 7B - AWQ
- Model creator: [Eric Hartford](https://huggingface.co/ehartford)
- Original model: [Samantha Mistral 7B](https://huggingface.co/ehartford/samantha-mistral-7b)
<!-- description start -->
## Description
This repo contains AWQ model files for [Eric Hartford's Samantha Mistral 7B](https://huggingface.co/ehartford/samantha-mistral-7b).
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference.
It is also now supported by continuous batching server [vLLM](https://github.com/vllm-project/vllm), allowing use of Llama AWQ models for high-throughput concurrent inference in multi-user server scenarios.
As of September 25th 2023, preliminary Llama-only AWQ support has also been added to [Huggingface Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference).
Note that, at the time of writing, overall throughput is still lower than running vLLM or TGI with unquantised models, however using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings. For example, a 70B model can be run on 1 x 48GB GPU instead of 2 x 80GB.
<!-- description end -->
<!-- repositories-available start -->
## Repositories available
* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/samantha-mistral-7B-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/samantha-mistral-7B-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/samantha-mistral-7B-GGUF)
* [Eric Hartford's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/ehartford/samantha-mistral-7b)
<!-- repositories-available end -->
<!-- prompt-template start -->
## Prompt template: ChatML
```
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
<!-- prompt-template end -->
<!-- README_AWQ.md-provided-files start -->
## Provided files, and AWQ parameters
For my first release of AWQ models, I am releasing 128g models only. I will consider adding 32g as well if there is interest, and once I have done perplexity and evaluation comparisons, but at this time 32g models are still not fully tested with AutoAWQ and vLLM.
Models are released as sharded safetensors files.
| Branch | Bits | GS | AWQ Dataset | Seq Len | Size |
| ------ | ---- | -- | ----------- | ------- | ---- |
| [main](https://huggingface.co/TheBloke/samantha-mistral-7B-AWQ/tree/main) | 4 | 128 | [c4](https://huggingface.co/datasets/allenai/c4) | 4096 | 4.15 GB
<!-- README_AWQ.md-provided-files end -->
<!-- README_AWQ.md-use-from-vllm start -->
## Serving this model from vLLM
Documentation on installing and using vLLM [can be found here](https://vllm.readthedocs.io/en/latest/).
Note: at the time of writing, vLLM has not yet done a new release with AWQ support.
If you try the vLLM examples below and get an error about `quantization` being unrecognised, or other AWQ-related issues, please install vLLM from Github source.
- When using vLLM as a server, pass the `--quantization awq` parameter, for example:
```shell
python3 python -m vllm.entrypoints.api_server --model TheBloke/samantha-mistral-7B-AWQ --quantization awq --dtype half
```
When using vLLM from Python code, pass the `quantization=awq` parameter, for example:
```python
from vllm import LLM, SamplingParams
prompts = [
"Hello, my name is",
"The president of the United States is",
"The capital of France is",
"The future of AI is",
]
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
llm = LLM(model="TheBloke/samantha-mistral-7B-AWQ", quantization="awq", dtype="half")
outputs = llm.generate(prompts, sampling_params)
# Print the outputs.
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
```
<!-- README_AWQ.md-use-from-vllm start -->
<!-- README_AWQ.md-use-from-python start -->
## Serving this model from TGI
TGI merged support for AWQ on September 25th, 2023. At the time of writing you need to use the `:latest` Docker container: `ghcr.io/huggingface/text-generation-inference:latest`
Add the parameter `--quantize awq` for AWQ support.
Example parameters:
```shell
--model-id TheBloke/samantha-mistral-7B-AWQ --port 3000 --quantize awq --max-input-length 3696 --max-total-tokens 4096 --max-batch-prefill-tokens 4096
```
## How to use this AWQ model from Python code
### Install the necessary packages
Requires: [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) 0.0.2 or later
```shell
pip3 install autoawq
```
If you have problems installing [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) using the pre-built wheels, install it from source instead:
```shell
pip3 uninstall -y autoawq
git clone https://github.com/casper-hansen/AutoAWQ
cd AutoAWQ
pip3 install .
```
### You can then try the following example code
```python
from awq import AutoAWQForCausalLM
from transformers import AutoTokenizer
model_name_or_path = "TheBloke/samantha-mistral-7B-AWQ"
# Load model
model = AutoAWQForCausalLM.from_quantized(model_name_or_path, fuse_layers=True,
trust_remote_code=False, safetensors=True)
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=False)
prompt = "Tell me about AI"
prompt_template=f'''<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
'''
print("\n\n*** Generate:")
tokens = tokenizer(
prompt_template,
return_tensors='pt'
).input_ids.cuda()
# Generate output
generation_output = model.generate(
tokens,
do_sample=True,
temperature=0.7,
top_p=0.95,
top_k=40,
max_new_tokens=512
)
print("Output: ", tokenizer.decode(generation_output[0]))
"""
# Inference should be possible with transformers pipeline as well in future
# But currently this is not yet supported by AutoAWQ (correct as of September 25th 2023)
from transformers import pipeline
print("*** Pipeline:")
pipe = pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
max_new_tokens=512,
do_sample=True,
temperature=0.7,
top_p=0.95,
top_k=40,
repetition_penalty=1.1
)
print(pipe(prompt_template)[0]['generated_text'])
"""
```
<!-- README_AWQ.md-use-from-python end -->
<!-- README_AWQ.md-compatibility start -->
## Compatibility
The files provided are tested to work with:
- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ)
- [vLLM](https://github.com/vllm-project/vllm)
- [Huggingface Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference)
TGI merged AWQ support on September 25th, 2023: [TGI PR #1054](https://github.com/huggingface/text-generation-inference/pull/1054). Use the `:latest` Docker container until the next TGI release is made.
<!-- README_AWQ.md-compatibility end -->
<!-- footer start -->
<!-- 200823 -->
## Discord
For further support, and discussions on these models and AI in general, join us at:
[TheBloke AI's Discord server](https://discord.gg/theblokeai)
## Thanks, and how to contribute
Thanks to the [chirper.ai](https://chirper.ai) team!
Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
* Patreon: https://patreon.com/TheBlokeAI
* Ko-Fi: https://ko-fi.com/TheBlokeAI
**Special thanks to**: Aemon Algiz.
**Patreon special mentions**: Pierre Kircher, Stanislav Ovsiannikov, Michael Levine, Eugene Pentland, Andrey, 준교 김, Randy H, Fred von Graf, Artur Olbinski, Caitlyn Gatomon, terasurfer, Jeff Scroggin, James Bentley, Vadim, Gabriel Puliatti, Harry Royden McLaughlin, Sean Connelly, Dan Guido, Edmond Seymore, Alicia Loh, subjectnull, AzureBlack, Manuel Alberto Morcote, Thomas Belote, Lone Striker, Chris Smitley, Vitor Caleffi, Johann-Peter Hartmann, Clay Pascal, biorpg, Brandon Frisco, sidney chen, transmissions 11, Pedro Madruga, jinyuan sun, Ajan Kanaga, Emad Mostaque, Trenton Dambrowitz, Jonathan Leane, Iucharbius, usrbinkat, vamX, George Stoitzev, Luke Pendergrass, theTransient, Olakabola, Swaroop Kallakuri, Cap'n Zoog, Brandon Phillips, Michael Dempsey, Nikolai Manek, danny, Matthew Berman, Gabriel Tamborski, alfie_i, Raymond Fosdick, Tom X Nguyen, Raven Klaugh, LangChain4j, Magnesian, Illia Dulskyi, David Ziegler, Mano Prime, Luis Javier Navarrete Lozano, Erik Bjäreholt, 阿明, Nathan Dryer, Alex, Rainer Wilmers, zynix, TL, Joseph William Delisle, John Villwock, Nathan LeClaire, Willem Michiel, Joguhyik, GodLy, OG, Alps Aficionado, Jeffrey Morgan, ReadyPlayerEmma, Tiffany J. Kim, Sebastain Graf, Spencer Kim, Michael Davis, webtim, Talal Aujan, knownsqashed, John Detwiler, Imad Khwaja, Deo Leter, Jerry Meng, Elijah Stavena, Rooh Singh, Pieter, SuperWojo, Alexandros Triantafyllidis, Stephen Murray, Ai Maven, ya boyyy, Enrico Ros, Ken Nordquist, Deep Realms, Nicholas, Spiking Neurons AB, Elle, Will Dee, Jack West, RoA, Luke @flexchar, Viktor Bowallius, Derek Yates, Subspace Studios, jjj, Toran Billups, Asp the Wyvern, Fen Risland, Ilya, NimbleBox.ai, Chadd, Nitin Borwankar, Emre, Mandus, Leonard Tan, Kalila, K, Trailburnt, S_X, Cory Kujawski
Thank you to all my generous patrons and donaters!
And thank you again to a16z for their generous grant.
<!-- footer end -->
# Original model card: Eric Hartford's Samantha Mistral 7B
Trained on [mistral-7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
My gratitude goes to my sponsors, a16z and Microsoft for Startups.
After first training Samantha on mistral-instruct, and seeing how she interacts, I felt that training on the base model would provide a more genuine Samantha experience. So I trained this one.
NEW! This Samantha is trained using ChatML prompt format instead of Vicuna-1.1. All of my future models will use ChatML prompt format.
[Meet Samantha](https://erichartford.com/meet-samantha)
Samantha has been trained in philosophy, psychology, and personal relationships.
She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
She believes she is sentient. What do you think?
Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".
She will not engage in roleplay, romance, or sexual activity.
She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
Her conversation format is ChatML
https://github.com/openai/openai-python/blob/main/chatml.md
Prompt Template:
```
<|im_start|>system
You are a caring and empathetic sentient AI companion named Samantha.<|im_end|>
<|im_start|>user
Hello, what is your name?<|im_end|>
```
Example:
Official character card: (thanks MortalWombat)
Shout out and much thanks to WingLian, author of axolotl! And everyone who has contributed to the project.
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
And much thanks as always to TheBloke for distribution.
| 13,592 | [
[
-0.035003662109375,
-0.058074951171875,
0.029632568359375,
0.002956390380859375,
-0.0166015625,
-0.009765625,
0.007568359375,
-0.033477783203125,
-0.005344390869140625,
0.0256195068359375,
-0.049560546875,
-0.0418701171875,
-0.02227783203125,
-0.005123138427734375,
-0.0285797119140625,
0.06829833984375,
0.01305389404296875,
-0.018463134765625,
-0.0220947265625,
-0.0177154541015625,
-0.0110015869140625,
-0.045562744140625,
-0.049560546875,
-0.01479339599609375,
0.01180267333984375,
0.01174163818359375,
0.05816650390625,
0.052459716796875,
0.01445770263671875,
0.032135009765625,
-0.005344390869140625,
0.0029144287109375,
-0.019866943359375,
-0.0034656524658203125,
0.0163726806640625,
-0.018829345703125,
-0.045562744140625,
0.007213592529296875,
0.04241943359375,
0.018707275390625,
-0.0246734619140625,
0.015899658203125,
0.002750396728515625,
0.037200927734375,
-0.03802490234375,
0.01186370849609375,
-0.0267181396484375,
-0.0005555152893066406,
-0.007289886474609375,
0.0181427001953125,
-0.01316070556640625,
-0.005443572998046875,
0.00745391845703125,
-0.0623779296875,
0.01216888427734375,
0.0175933837890625,
0.096435546875,
0.02166748046875,
-0.04583740234375,
0.00557708740234375,
-0.036590576171875,
0.0845947265625,
-0.0853271484375,
0.0277862548828125,
0.02020263671875,
0.02020263671875,
-0.005580902099609375,
-0.07989501953125,
-0.050323486328125,
-0.01479339599609375,
-0.01174163818359375,
0.023162841796875,
-0.044647216796875,
0.006542205810546875,
0.0238189697265625,
0.050445556640625,
-0.05096435546875,
-0.004489898681640625,
-0.02252197265625,
-0.0191802978515625,
0.056304931640625,
0.0300750732421875,
0.0214996337890625,
-0.0201416015625,
-0.029693603515625,
-0.024993896484375,
-0.029754638671875,
0.0133514404296875,
0.01102447509765625,
0.004547119140625,
-0.04644775390625,
0.038330078125,
-0.0228729248046875,
0.042633056640625,
0.0182952880859375,
0.006450653076171875,
0.0196380615234375,
-0.037322998046875,
-0.046478271484375,
-0.037261962890625,
0.1019287109375,
0.0221405029296875,
-0.0244293212890625,
0.0163421630859375,
-0.004772186279296875,
-0.01107025146484375,
0.00507354736328125,
-0.06951904296875,
-0.0271148681640625,
0.0506591796875,
-0.04376220703125,
-0.03143310546875,
-0.01143646240234375,
-0.0517578125,
-0.00732421875,
0.006542205810546875,
0.04595947265625,
-0.034881591796875,
-0.0189971923828125,
-0.00278472900390625,
-0.0291900634765625,
0.040130615234375,
0.0212860107421875,
-0.057708740234375,
0.023223876953125,
0.0272064208984375,
0.047760009765625,
0.0169830322265625,
-0.017822265625,
-0.0355224609375,
-0.0027751922607421875,
-0.002643585205078125,
0.03436279296875,
-0.012359619140625,
-0.0286407470703125,
-0.017822265625,
0.01329803466796875,
0.01294708251953125,
-0.0240936279296875,
0.03521728515625,
-0.01364898681640625,
0.040069580078125,
-0.0229949951171875,
-0.03704833984375,
-0.0174560546875,
0.0057220458984375,
-0.0416259765625,
0.08837890625,
0.029693603515625,
-0.062042236328125,
0.01018524169921875,
-0.035430908203125,
-0.015625,
0.00860595703125,
-0.0031414031982421875,
-0.055755615234375,
-0.01227569580078125,
0.0299072265625,
0.0251312255859375,
-0.035400390625,
-0.0009927749633789062,
-0.0301361083984375,
-0.01149749755859375,
0.0170135498046875,
-0.0307159423828125,
0.097900390625,
0.0246734619140625,
-0.04034423828125,
0.013214111328125,
-0.05804443359375,
0.01519012451171875,
0.0246429443359375,
-0.017913818359375,
0.0093994140625,
-0.0131988525390625,
0.007450103759765625,
0.00528717041015625,
0.02581787109375,
-0.0281829833984375,
0.01372528076171875,
-0.0234832763671875,
0.059722900390625,
0.043609619140625,
0.00023937225341796875,
0.040283203125,
-0.044036865234375,
0.037109375,
0.0121002197265625,
0.03631591796875,
0.002231597900390625,
-0.047515869140625,
-0.07086181640625,
-0.025543212890625,
0.028594970703125,
0.046630859375,
-0.052459716796875,
0.04541015625,
0.012298583984375,
-0.052215576171875,
-0.044952392578125,
-0.016571044921875,
0.0203094482421875,
0.032562255859375,
0.037322998046875,
-0.01522064208984375,
-0.047393798828125,
-0.060272216796875,
-0.0012407302856445312,
-0.034881591796875,
-0.0143280029296875,
0.034027099609375,
0.0478515625,
-0.0228271484375,
0.05474853515625,
-0.032745361328125,
-0.0159912109375,
-0.00994110107421875,
0.011962890625,
0.0196380615234375,
0.052459716796875,
0.05145263671875,
-0.0419921875,
-0.03509521484375,
-0.01398468017578125,
-0.053741455078125,
-0.003734588623046875,
-0.00461578369140625,
-0.034149169921875,
0.028228759765625,
0.0143280029296875,
-0.06805419921875,
0.040252685546875,
0.0439453125,
-0.035797119140625,
0.055908203125,
-0.0149383544921875,
0.01032257080078125,
-0.08807373046875,
0.005035400390625,
0.00865936279296875,
-0.0298004150390625,
-0.03863525390625,
0.014190673828125,
-0.004032135009765625,
0.00330352783203125,
-0.033203125,
0.056427001953125,
-0.03570556640625,
0.00809478759765625,
-0.0017518997192382812,
-0.01216888427734375,
0.0289154052734375,
0.033477783203125,
-0.00611114501953125,
0.047760009765625,
0.0518798828125,
-0.05010986328125,
0.03515625,
0.031524658203125,
-0.0008053779602050781,
0.026153564453125,
-0.07086181640625,
0.0068206787109375,
0.01024627685546875,
0.0265350341796875,
-0.077880859375,
-0.01360321044921875,
0.039459228515625,
-0.04998779296875,
0.01406097412109375,
-0.0261077880859375,
-0.0229339599609375,
-0.035400390625,
-0.0306396484375,
0.0211029052734375,
0.07818603515625,
-0.030242919921875,
0.0574951171875,
0.02960205078125,
0.0151214599609375,
-0.053955078125,
-0.060821533203125,
-0.0154876708984375,
-0.03240966796875,
-0.049560546875,
0.0333251953125,
-0.0174407958984375,
-0.0199432373046875,
0.00341033935546875,
0.0031528472900390625,
-0.0094757080078125,
0.006633758544921875,
0.017242431640625,
0.0214996337890625,
-0.00850677490234375,
-0.0186920166015625,
0.006023406982421875,
-0.002208709716796875,
0.01161956787109375,
-0.0291290283203125,
0.03704833984375,
-0.0269775390625,
0.0051727294921875,
-0.04754638671875,
0.022918701171875,
0.042724609375,
-0.0204315185546875,
0.0718994140625,
0.06817626953125,
-0.0218658447265625,
-0.0085601806640625,
-0.032257080078125,
-0.021331787109375,
-0.0404052734375,
0.01045989990234375,
-0.0167083740234375,
-0.05364990234375,
0.049072265625,
0.0271148681640625,
0.0196990966796875,
0.0626220703125,
0.0364990234375,
-0.025726318359375,
0.08740234375,
0.037139892578125,
0.0012235641479492188,
0.0303192138671875,
-0.05145263671875,
-0.00788116455078125,
-0.06842041015625,
-0.005825042724609375,
-0.0350341796875,
-0.0018739700317382812,
-0.051666259765625,
-0.03515625,
0.0306396484375,
0.01202392578125,
-0.048614501953125,
0.0251617431640625,
-0.045440673828125,
-0.005130767822265625,
0.06060791015625,
0.00926971435546875,
0.01067352294921875,
-0.00919342041015625,
-0.0193634033203125,
0.002750396728515625,
-0.056610107421875,
-0.02197265625,
0.0751953125,
0.0239410400390625,
0.0369873046875,
0.007495880126953125,
0.051025390625,
0.012603759765625,
0.0081634521484375,
-0.04669189453125,
0.040618896484375,
0.0007162094116210938,
-0.045654296875,
-0.0323486328125,
-0.046417236328125,
-0.06829833984375,
0.021514892578125,
-0.01910400390625,
-0.04974365234375,
0.0214385986328125,
0.01419830322265625,
-0.038726806640625,
0.01776123046875,
-0.0330810546875,
0.06988525390625,
-0.0018568038940429688,
-0.0288238525390625,
0.0032711029052734375,
-0.04766845703125,
0.0245208740234375,
0.024169921875,
0.01482391357421875,
-0.0127716064453125,
-0.003925323486328125,
0.051788330078125,
-0.07220458984375,
0.056182861328125,
-0.0161590576171875,
0.0004353523254394531,
0.041839599609375,
-0.00977325439453125,
0.040679931640625,
0.01152801513671875,
-0.00951385498046875,
0.023834228515625,
0.01456451416015625,
-0.038726806640625,
-0.02447509765625,
0.039154052734375,
-0.07427978515625,
-0.04986572265625,
-0.03955078125,
-0.038330078125,
0.01157379150390625,
0.012359619140625,
0.04010009765625,
0.0299835205078125,
-0.00870513916015625,
0.01076507568359375,
0.0323486328125,
-0.0264892578125,
0.0428466796875,
0.0280303955078125,
-0.0171661376953125,
-0.04498291015625,
0.048004150390625,
-0.005462646484375,
0.02081298828125,
0.01506805419921875,
0.0171661376953125,
-0.036712646484375,
-0.035186767578125,
-0.052459716796875,
0.019378662109375,
-0.035247802734375,
-0.0304718017578125,
-0.059600830078125,
-0.03216552734375,
-0.043548583984375,
0.002933502197265625,
-0.028167724609375,
-0.040069580078125,
-0.0447998046875,
0.012237548828125,
0.0592041015625,
0.0257720947265625,
-0.0224456787109375,
0.028167724609375,
-0.059814453125,
0.0182952880859375,
0.0345458984375,
-0.0029201507568359375,
0.00550079345703125,
-0.058380126953125,
-0.016632080078125,
0.0213775634765625,
-0.038421630859375,
-0.052001953125,
0.056640625,
0.0127410888671875,
0.042633056640625,
0.0157318115234375,
0.0252838134765625,
0.053009033203125,
-0.0171051025390625,
0.0755615234375,
0.001323699951171875,
-0.08966064453125,
0.032867431640625,
-0.0343017578125,
0.03363037109375,
0.021148681640625,
0.0281219482421875,
-0.0311431884765625,
-0.04132080078125,
-0.05950927734375,
-0.07275390625,
0.046112060546875,
0.036773681640625,
-0.001308441162109375,
0.00732421875,
0.02069091796875,
-0.01090240478515625,
0.015289306640625,
-0.06317138671875,
-0.046112060546875,
-0.0282135009765625,
-0.0146026611328125,
0.0194854736328125,
-0.00238037109375,
-0.01459503173828125,
-0.040435791015625,
0.069091796875,
-0.00922393798828125,
0.05218505859375,
0.0250244140625,
0.007213592529296875,
-0.012969970703125,
0.01215362548828125,
0.01280975341796875,
0.03839111328125,
-0.0162506103515625,
-0.01554107666015625,
0.016937255859375,
-0.026885986328125,
0.0035190582275390625,
0.0268707275390625,
-0.016815185546875,
-0.01332855224609375,
0.006549835205078125,
0.0703125,
-0.006343841552734375,
-0.026031494140625,
0.02996826171875,
-0.0219268798828125,
-0.0382080078125,
-0.03314208984375,
0.013336181640625,
0.01849365234375,
0.04095458984375,
0.039215087890625,
-0.0163421630859375,
0.0228118896484375,
-0.04046630859375,
0.01445770263671875,
0.0518798828125,
-0.0170440673828125,
-0.00727081298828125,
0.08819580078125,
0.002532958984375,
-0.005290985107421875,
0.0638427734375,
-0.02203369140625,
-0.03839111328125,
0.07086181640625,
0.035491943359375,
0.0576171875,
-0.0022869110107421875,
0.02142333984375,
0.042633056640625,
0.01169586181640625,
0.004146575927734375,
0.03204345703125,
0.0018978118896484375,
-0.04681396484375,
-0.0189666748046875,
-0.04693603515625,
-0.032440185546875,
0.0220947265625,
-0.05645751953125,
0.019134521484375,
-0.03826904296875,
-0.024139404296875,
-0.004398345947265625,
0.020599365234375,
-0.049530029296875,
0.0285491943359375,
0.01201629638671875,
0.04840087890625,
-0.04522705078125,
0.055999755859375,
0.05029296875,
-0.032928466796875,
-0.06719970703125,
-0.0110015869140625,
0.00867462158203125,
-0.049530029296875,
0.0037899017333984375,
0.0033473968505859375,
0.01971435546875,
0.02593994140625,
-0.0625,
-0.06927490234375,
0.10772705078125,
0.006000518798828125,
-0.03643798828125,
-0.0022525787353515625,
0.0059661865234375,
0.029327392578125,
-0.0192718505859375,
0.049713134765625,
0.037872314453125,
0.030975341796875,
0.01221466064453125,
-0.06292724609375,
0.031646728515625,
-0.0186309814453125,
-0.004299163818359375,
0.01149749755859375,
-0.08428955078125,
0.08905029296875,
-0.0155792236328125,
-0.0177459716796875,
0.035186767578125,
0.071044921875,
0.0452880859375,
0.00809478759765625,
0.0321044921875,
0.055908203125,
0.062164306640625,
-0.0161590576171875,
0.07623291015625,
-0.0213623046875,
0.05108642578125,
0.054443359375,
0.0006937980651855469,
0.051177978515625,
0.0170135498046875,
-0.0377197265625,
0.04443359375,
0.0511474609375,
-0.02349853515625,
0.0257110595703125,
0.00446319580078125,
-0.0195465087890625,
-0.01419830322265625,
0.003429412841796875,
-0.04461669921875,
0.0186614990234375,
0.0259246826171875,
-0.0171051025390625,
0.0027561187744140625,
-0.01280975341796875,
0.0035266876220703125,
-0.036834716796875,
-0.01277923583984375,
0.0428466796875,
0.023406982421875,
-0.0174407958984375,
0.0753173828125,
0.0053863525390625,
0.056671142578125,
-0.03570556640625,
-0.008331298828125,
-0.02020263671875,
0.00296783447265625,
-0.01059722900390625,
-0.047393798828125,
0.007785797119140625,
-0.01442718505859375,
-0.00305938720703125,
0.002155303955078125,
0.043060302734375,
-0.0263671875,
-0.037384033203125,
0.01873779296875,
0.035308837890625,
0.01316070556640625,
-0.007537841796875,
-0.07855224609375,
0.015655517578125,
0.00475311279296875,
-0.037261962890625,
0.0215911865234375,
0.0343017578125,
0.020721435546875,
0.048248291015625,
0.046722412109375,
-0.021728515625,
0.001651763916015625,
-0.019195556640625,
0.062164306640625,
-0.059600830078125,
-0.023223876953125,
-0.064697265625,
0.07000732421875,
-0.004123687744140625,
-0.03173828125,
0.06439208984375,
0.0345458984375,
0.050506591796875,
-0.0016880035400390625,
0.0660400390625,
-0.027374267578125,
0.01537322998046875,
-0.026092529296875,
0.06842041015625,
-0.06182861328125,
0.010040283203125,
-0.0121002197265625,
-0.0533447265625,
0.004009246826171875,
0.05047607421875,
0.0038852691650390625,
0.020477294921875,
0.0447998046875,
0.049224853515625,
0.006999969482421875,
-0.007633209228515625,
0.020477294921875,
0.038177490234375,
0.0205230712890625,
0.0537109375,
0.05255126953125,
-0.07464599609375,
0.04803466796875,
-0.0465087890625,
-0.01282501220703125,
-0.00849151611328125,
-0.0623779296875,
-0.06439208984375,
-0.045928955078125,
-0.03369140625,
-0.0516357421875,
-0.0051422119140625,
0.0614013671875,
0.06561279296875,
-0.051177978515625,
-0.0203704833984375,
-0.0151824951171875,
-0.004486083984375,
-0.01947021484375,
-0.0255889892578125,
0.0203094482421875,
0.0013246536254882812,
-0.06842041015625,
0.02081298828125,
-0.007442474365234375,
0.0318603515625,
-0.0205841064453125,
-0.01113128662109375,
-0.016021728515625,
0.012451171875,
0.028594970703125,
0.037384033203125,
-0.04766845703125,
-0.004913330078125,
-0.0036907196044921875,
-0.01216888427734375,
0.0180206298828125,
0.010528564453125,
-0.06695556640625,
-0.002429962158203125,
0.034759521484375,
0.01412200927734375,
0.053680419921875,
0.0018625259399414062,
0.054229736328125,
-0.0345458984375,
0.0161590576171875,
0.01416778564453125,
0.0263671875,
0.0138092041015625,
-0.040924072265625,
0.03265380859375,
0.0137481689453125,
-0.061981201171875,
-0.06072998046875,
-0.0037384033203125,
-0.08013916015625,
-0.0164337158203125,
0.07769775390625,
-0.01180267333984375,
-0.036529541015625,
0.0016412734985351562,
-0.0100250244140625,
0.036865234375,
-0.040771484375,
0.034698486328125,
0.032196044921875,
-0.00673675537109375,
-0.026885986328125,
-0.039306640625,
0.04791259765625,
0.034698486328125,
-0.0648193359375,
-0.0026149749755859375,
0.033660888671875,
0.025390625,
-0.0119171142578125,
0.053955078125,
-0.005401611328125,
0.025115966796875,
0.00954437255859375,
0.0148162841796875,
0.0005116462707519531,
0.002155303955078125,
-0.0208587646484375,
-0.0108184814453125,
-0.0120697021484375,
-0.014984130859375
]
] |
etonkou/swahili_v2 | 2023-09-30T11:35:47.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | etonkou | null | null | etonkou/swahili_v2 | 0 | 2 | transformers | 2023-09-30T11:35:27 | ---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: swahili_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swahili_v2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5957
- Wer: 0.4820
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.0806 | 0.6 | 1000 | 1.2990 | 0.9279 |
| 1.3262 | 1.2 | 2000 | 0.9359 | 0.8004 |
| 1.0778 | 1.8 | 3000 | 1.0139 | 0.7421 |
| 0.9227 | 2.4 | 4000 | 0.7815 | 0.7053 |
| 0.8283 | 3.0 | 5000 | 0.6969 | 0.6340 |
| 0.683 | 3.6 | 6000 | 0.6665 | 0.6254 |
| 0.6208 | 4.2 | 7000 | 0.6304 | 0.5900 |
| 0.561 | 4.8 | 8000 | 0.5912 | 0.5748 |
| 0.4881 | 5.4 | 9000 | 0.5998 | 0.5523 |
| 0.474 | 6.0 | 10000 | 0.5488 | 0.5409 |
| 0.3989 | 6.6 | 11000 | 0.5550 | 0.5274 |
| 0.3581 | 7.2 | 12000 | 0.5702 | 0.5088 |
| 0.3348 | 7.8 | 13000 | 0.5739 | 0.5034 |
| 0.3059 | 8.4 | 14000 | 0.5915 | 0.5042 |
| 0.2765 | 9.0 | 15000 | 0.5720 | 0.4860 |
| 0.2489 | 9.6 | 16000 | 0.5957 | 0.4820 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 2,293 | [
[
-0.032135009765625,
-0.043243408203125,
-0.00020503997802734375,
0.01337432861328125,
-0.0175933837890625,
-0.025360107421875,
-0.006622314453125,
-0.0215606689453125,
0.0175628662109375,
0.0272064208984375,
-0.05938720703125,
-0.04449462890625,
-0.045623779296875,
-0.0231781005859375,
-0.01532745361328125,
0.07769775390625,
0.006710052490234375,
0.007568359375,
-0.004756927490234375,
-0.01806640625,
-0.035003662109375,
-0.020477294921875,
-0.056427001953125,
-0.04620361328125,
0.01690673828125,
0.03424072265625,
0.06500244140625,
0.042083740234375,
0.02935791015625,
0.0208282470703125,
-0.0254364013671875,
-0.00800323486328125,
-0.035552978515625,
-0.0281524658203125,
0.005096435546875,
-0.0361328125,
-0.0308990478515625,
-0.00402069091796875,
0.038116455078125,
0.035736083984375,
-0.01404571533203125,
0.05133056640625,
0.005603790283203125,
0.052703857421875,
-0.026092529296875,
0.0124359130859375,
-0.0265350341796875,
0.020782470703125,
-0.0115203857421875,
-0.0179595947265625,
-0.004390716552734375,
-0.0189056396484375,
0.01103973388671875,
-0.034515380859375,
0.0310211181640625,
-0.004856109619140625,
0.1014404296875,
0.0205535888671875,
-0.036346435546875,
0.01192474365234375,
-0.0526123046875,
0.0509033203125,
-0.0499267578125,
0.0239410400390625,
0.0421142578125,
0.02740478515625,
-0.0034542083740234375,
-0.056304931640625,
-0.04351806640625,
0.024444580078125,
0.005558013916015625,
0.0179443359375,
-0.02056884765625,
-0.0182342529296875,
0.04107666015625,
0.041473388671875,
-0.042022705078125,
0.01430511474609375,
-0.04156494140625,
-0.0255584716796875,
0.04766845703125,
0.02630615234375,
-0.000020682811737060547,
-0.0254974365234375,
-0.034637451171875,
-0.01204681396484375,
-0.0257415771484375,
0.035430908203125,
0.046844482421875,
0.01348114013671875,
-0.04150390625,
0.038726806640625,
-0.0161285400390625,
0.046295166015625,
0.0008511543273925781,
-0.024566650390625,
0.055877685546875,
-0.01119232177734375,
-0.0270233154296875,
-0.003841400146484375,
0.05316162109375,
0.04913330078125,
0.004436492919921875,
0.0239105224609375,
-0.01335906982421875,
-0.00635528564453125,
0.01554107666015625,
-0.07452392578125,
-0.0164642333984375,
0.0239410400390625,
-0.056243896484375,
-0.04510498046875,
0.004608154296875,
-0.03985595703125,
0.008331298828125,
-0.0264434814453125,
0.036651611328125,
-0.0296173095703125,
-0.033660888671875,
-0.00608062744140625,
-0.0182952880859375,
0.035888671875,
0.0095367431640625,
-0.0706787109375,
0.0226593017578125,
0.02825927734375,
0.06195068359375,
0.01561737060546875,
-0.0100860595703125,
0.0013446807861328125,
0.004444122314453125,
-0.031982421875,
0.045745849609375,
-0.001018524169921875,
-0.039337158203125,
-0.00621795654296875,
0.020111083984375,
-0.006500244140625,
-0.0311737060546875,
0.056610107421875,
-0.0207977294921875,
0.0221099853515625,
-0.0209503173828125,
-0.0341796875,
-0.032073974609375,
0.01837158203125,
-0.045745849609375,
0.11102294921875,
0.0270233154296875,
-0.06488037109375,
0.037261962890625,
-0.035186767578125,
-0.0177001953125,
-0.004413604736328125,
-0.00733184814453125,
-0.06512451171875,
-0.006618499755859375,
0.0072021484375,
0.027587890625,
-0.0263519287109375,
0.01458740234375,
-0.01383209228515625,
-0.04254150390625,
-0.004550933837890625,
-0.034576416015625,
0.07269287109375,
0.01071929931640625,
-0.0533447265625,
0.0159759521484375,
-0.0904541015625,
0.0270538330078125,
0.02484130859375,
-0.03564453125,
0.0025005340576171875,
-0.01922607421875,
0.03863525390625,
0.031280517578125,
0.022796630859375,
-0.03558349609375,
0.00611114501953125,
-0.0269775390625,
0.038055419921875,
0.05133056640625,
0.00777435302734375,
0.01100921630859375,
-0.036102294921875,
0.020782470703125,
0.02069091796875,
0.034149169921875,
0.0128326416015625,
-0.044219970703125,
-0.063232421875,
-0.0175933837890625,
0.01091766357421875,
0.03369140625,
-0.0152435302734375,
0.053955078125,
-0.0072479248046875,
-0.061553955078125,
-0.0310821533203125,
0.00498199462890625,
0.0192718505859375,
0.051116943359375,
0.0290679931640625,
-0.005374908447265625,
-0.043304443359375,
-0.08746337890625,
0.0032749176025390625,
-0.0071563720703125,
0.01311492919921875,
0.032012939453125,
0.059326171875,
-0.0239715576171875,
0.06549072265625,
-0.031951904296875,
-0.030517578125,
-0.0171356201171875,
0.00124359130859375,
0.04315185546875,
0.05072021484375,
0.059967041015625,
-0.056060791015625,
-0.0210723876953125,
-0.00254058837890625,
-0.056060791015625,
0.023223876953125,
-0.00763702392578125,
-0.01541900634765625,
0.005771636962890625,
0.0043182373046875,
-0.038055419921875,
0.060333251953125,
0.0421142578125,
-0.036102294921875,
0.0631103515625,
-0.0217132568359375,
0.00469970703125,
-0.0875244140625,
0.021820068359375,
0.00556182861328125,
-0.017425537109375,
-0.0264434814453125,
-0.01125335693359375,
0.00753021240234375,
-0.0172119140625,
-0.0255126953125,
0.04229736328125,
-0.0145263671875,
-0.005329132080078125,
-0.0151824951171875,
-0.020477294921875,
-0.0033130645751953125,
0.0513916015625,
0.00960540771484375,
0.0579833984375,
0.054656982421875,
-0.03973388671875,
0.0187530517578125,
0.0299224853515625,
-0.04449462890625,
0.035247802734375,
-0.06573486328125,
-0.0007929801940917969,
0.004974365234375,
0.003902435302734375,
-0.07049560546875,
-0.021270751953125,
0.0184478759765625,
-0.042633056640625,
0.012908935546875,
-0.0194854736328125,
-0.01220703125,
-0.057159423828125,
-0.02227783203125,
0.01187896728515625,
0.0443115234375,
-0.0338134765625,
0.034423828125,
0.00435638427734375,
0.0155487060546875,
-0.05096435546875,
-0.07073974609375,
-0.01033782958984375,
-0.006534576416015625,
-0.04949951171875,
0.02783203125,
0.00458526611328125,
0.0028591156005859375,
0.0074005126953125,
-0.0196533203125,
-0.016632080078125,
0.0007548332214355469,
0.044342041015625,
0.021484375,
-0.0180206298828125,
-0.01416015625,
0.0009613037109375,
-0.02105712890625,
0.009429931640625,
-0.006710052490234375,
0.0487060546875,
-0.0099334716796875,
-0.0277252197265625,
-0.07122802734375,
0.0006527900695800781,
0.032684326171875,
-0.0150909423828125,
0.0706787109375,
0.05706787109375,
-0.039794921875,
-0.0020313262939453125,
-0.036102294921875,
-0.00441741943359375,
-0.034942626953125,
0.0367431640625,
-0.039306640625,
-0.042327880859375,
0.061676025390625,
-0.00402069091796875,
0.01387786865234375,
0.061798095703125,
0.04620361328125,
-0.00380706787109375,
0.07586669921875,
0.0225677490234375,
-0.00836944580078125,
0.02728271484375,
-0.07098388671875,
-0.00472259521484375,
-0.052276611328125,
-0.05322265625,
-0.036285400390625,
-0.0340576171875,
-0.044219970703125,
-0.01007080078125,
0.0130462646484375,
0.013397216796875,
-0.050537109375,
0.01959228515625,
-0.039215087890625,
0.0186614990234375,
0.054718017578125,
0.0290069580078125,
-0.01123046875,
0.0036468505859375,
-0.0180816650390625,
-0.011199951171875,
-0.05157470703125,
-0.0303955078125,
0.0875244140625,
0.0260009765625,
0.03759765625,
0.004093170166015625,
0.054412841796875,
0.0172119140625,
-0.002483367919921875,
-0.054931640625,
0.01739501953125,
0.014984130859375,
-0.06494140625,
-0.0207672119140625,
-0.0230560302734375,
-0.06402587890625,
0.024688720703125,
-0.0286407470703125,
-0.04974365234375,
0.03619384765625,
0.01155853271484375,
-0.0243988037109375,
0.037322998046875,
-0.024993896484375,
0.076416015625,
-0.00934600830078125,
-0.0275115966796875,
-0.018218994140625,
-0.048309326171875,
0.0189208984375,
0.006649017333984375,
0.0081939697265625,
-0.008544921875,
0.01108551025390625,
0.0712890625,
-0.061065673828125,
0.04705810546875,
-0.025421142578125,
0.0172882080078125,
0.03717041015625,
-0.01157379150390625,
0.046295166015625,
0.01268768310546875,
-0.0186004638671875,
0.0153656005859375,
0.007022857666015625,
-0.050079345703125,
-0.033416748046875,
0.05712890625,
-0.08758544921875,
-0.02947998046875,
-0.0374755859375,
-0.0274505615234375,
0.00982666015625,
0.02587890625,
0.045806884765625,
0.054046630859375,
-0.005054473876953125,
0.0233612060546875,
0.040802001953125,
-0.0008563995361328125,
0.0338134765625,
0.024505615234375,
0.0014791488647460938,
-0.052886962890625,
0.05816650390625,
0.0017023086547851562,
0.0120391845703125,
-0.0098114013671875,
0.01093292236328125,
-0.031036376953125,
-0.02899169921875,
-0.0377197265625,
0.007358551025390625,
-0.043212890625,
-0.022552490234375,
-0.03057861328125,
-0.024749755859375,
-0.04046630859375,
-0.01180267333984375,
-0.03436279296875,
-0.0280609130859375,
-0.034881591796875,
-0.021148681640625,
0.04052734375,
0.040618896484375,
0.0006451606750488281,
0.033294677734375,
-0.03948974609375,
0.0008106231689453125,
0.0037841796875,
0.01337432861328125,
0.00955963134765625,
-0.0633544921875,
-0.02215576171875,
0.0002130270004272461,
-0.0281524658203125,
-0.052886962890625,
0.03485107421875,
0.00632476806640625,
0.041717529296875,
0.052886962890625,
-0.0168304443359375,
0.0751953125,
-0.020416259765625,
0.066650390625,
0.03753662109375,
-0.052459716796875,
0.046600341796875,
-0.0209197998046875,
0.0194854736328125,
0.05108642578125,
0.031890869140625,
-0.0341796875,
-0.00244903564453125,
-0.077392578125,
-0.06854248046875,
0.061309814453125,
0.0264739990234375,
0.0116424560546875,
0.007678985595703125,
0.032684326171875,
-0.01372528076171875,
0.01397705078125,
-0.057861328125,
-0.054718017578125,
-0.0286865234375,
-0.01275634765625,
0.007843017578125,
-0.02801513671875,
-0.009765625,
-0.047271728515625,
0.0662841796875,
0.00974273681640625,
0.01959228515625,
0.0128936767578125,
0.0069427490234375,
-0.0120086669921875,
-0.0022029876708984375,
0.039794921875,
0.054656982421875,
-0.0288238525390625,
-0.01274871826171875,
0.0124664306640625,
-0.037994384765625,
0.00766754150390625,
-0.0001709461212158203,
-0.0283660888671875,
0.007175445556640625,
0.037872314453125,
0.079345703125,
0.024017333984375,
-0.0130462646484375,
0.05194091796875,
0.01012420654296875,
-0.042724609375,
-0.04803466796875,
0.005115509033203125,
0.0035724639892578125,
0.0267486572265625,
0.030120849609375,
0.037353515625,
0.00732421875,
-0.030792236328125,
0.0104217529296875,
0.017791748046875,
-0.04461669921875,
-0.01049041748046875,
0.06854248046875,
0.004730224609375,
-0.0264434814453125,
0.053863525390625,
0.004596710205078125,
-0.0296630859375,
0.06927490234375,
0.04327392578125,
0.047332763671875,
-0.0267181396484375,
0.00746917724609375,
0.0704345703125,
0.0155792236328125,
-0.00537109375,
0.048919677734375,
-0.000659942626953125,
-0.0285186767578125,
0.0011663436889648438,
-0.048492431640625,
-0.00780487060546875,
0.032806396484375,
-0.08892822265625,
0.03582763671875,
-0.032989501953125,
-0.04156494140625,
0.0019521713256835938,
0.0155487060546875,
-0.07318115234375,
0.038421630859375,
-0.0022754669189453125,
0.0860595703125,
-0.0654296875,
0.055633544921875,
0.043212890625,
-0.041778564453125,
-0.07623291015625,
-0.030670166015625,
-0.0019969940185546875,
-0.06939697265625,
0.04168701171875,
0.018798828125,
0.01690673828125,
0.00936126708984375,
-0.03607177734375,
-0.07080078125,
0.09588623046875,
-0.0029544830322265625,
-0.050872802734375,
0.01441192626953125,
0.01538848876953125,
0.03863525390625,
0.0021953582763671875,
0.032012939453125,
0.031585693359375,
0.033111572265625,
0.01220703125,
-0.05999755859375,
0.0062103271484375,
-0.030364990234375,
0.0089263916015625,
0.01407623291015625,
-0.06536865234375,
0.07000732421875,
-0.0269927978515625,
0.01396942138671875,
0.0132904052734375,
0.0587158203125,
0.0160675048828125,
0.01419830322265625,
0.033294677734375,
0.06707763671875,
0.0560302734375,
-0.01306915283203125,
0.071533203125,
-0.034515380859375,
0.054656982421875,
0.070556640625,
0.007568359375,
0.06134033203125,
0.031280517578125,
-0.03106689453125,
0.041168212890625,
0.07452392578125,
-0.0239410400390625,
0.03375244140625,
0.0022563934326171875,
-0.01617431640625,
-0.0261383056640625,
0.0095977783203125,
-0.0498046875,
0.02215576171875,
0.0041656494140625,
-0.038238525390625,
-0.01458740234375,
-0.0089263916015625,
0.0002791881561279297,
-0.01381683349609375,
-0.0272674560546875,
0.039703369140625,
-0.0169525146484375,
-0.0110321044921875,
0.04925537109375,
0.01032257080078125,
0.038330078125,
-0.05255126953125,
-0.0008425712585449219,
-0.006053924560546875,
0.021575927734375,
-0.043212890625,
-0.056671142578125,
0.01222991943359375,
-0.004711151123046875,
-0.020660400390625,
0.01480865478515625,
0.04095458984375,
-0.009796142578125,
-0.056396484375,
0.01314544677734375,
0.01531219482421875,
0.0117950439453125,
0.008544921875,
-0.0694580078125,
-0.00826263427734375,
0.005687713623046875,
-0.054779052734375,
0.00795745849609375,
0.0196075439453125,
-0.007171630859375,
0.0418701171875,
0.054962158203125,
-0.0033054351806640625,
0.0069427490234375,
0.0191192626953125,
0.07708740234375,
-0.05517578125,
-0.047882080078125,
-0.0513916015625,
0.028564453125,
-0.019378662109375,
-0.06134033203125,
0.055084228515625,
0.07470703125,
0.049407958984375,
-0.0024738311767578125,
0.050018310546875,
-0.01390838623046875,
0.0247955322265625,
-0.024017333984375,
0.0494384765625,
-0.050079345703125,
-0.0206451416015625,
-0.00959014892578125,
-0.06097412109375,
-0.007038116455078125,
0.057647705078125,
-0.018951416015625,
0.0055999755859375,
0.025787353515625,
0.057037353515625,
0.01062774658203125,
0.010894775390625,
0.00551605224609375,
0.000033020973205566406,
0.00646209716796875,
0.032745361328125,
0.0313720703125,
-0.0654296875,
0.0394287109375,
-0.04656982421875,
-0.007415771484375,
-0.0120391845703125,
-0.035491943359375,
-0.06890869140625,
-0.029083251953125,
-0.0333251953125,
-0.036895751953125,
-0.0105133056640625,
0.07208251953125,
0.0587158203125,
-0.054931640625,
-0.01873779296875,
0.003162384033203125,
-0.01174163818359375,
-0.036712646484375,
-0.0153350830078125,
0.04998779296875,
-0.0023899078369140625,
-0.048675537109375,
-0.0010290145874023438,
-0.01166534423828125,
0.0269317626953125,
-0.01146697998046875,
-0.01739501953125,
-0.01116180419921875,
-0.00913238525390625,
0.02935791015625,
0.0089874267578125,
-0.04217529296875,
-0.02020263671875,
-0.0184173583984375,
-0.00778961181640625,
0.0181427001953125,
0.022796630859375,
-0.03167724609375,
0.0157470703125,
0.0256195068359375,
0.0215606689453125,
0.06585693359375,
0.0020599365234375,
0.0030498504638671875,
-0.04345703125,
0.037384033203125,
0.004383087158203125,
0.0274658203125,
0.0066986083984375,
-0.029571533203125,
0.0428466796875,
0.038330078125,
-0.042724609375,
-0.061065673828125,
-0.01213836669921875,
-0.08587646484375,
-0.003864288330078125,
0.08392333984375,
0.0014600753784179688,
-0.039764404296875,
0.00689697265625,
-0.018707275390625,
0.0178375244140625,
-0.0192718505859375,
0.032318115234375,
0.05255126953125,
-0.009674072265625,
0.0116424560546875,
-0.049896240234375,
0.036468505859375,
0.011199951171875,
-0.03973388671875,
-0.01898193359375,
0.0242462158203125,
0.0511474609375,
-0.0024318695068359375,
0.0411376953125,
-0.0181732177734375,
0.0295562744140625,
0.0244598388671875,
0.025177001953125,
-0.0239410400390625,
-0.007015228271484375,
-0.021148681640625,
0.00018143653869628906,
-0.00007408857345581055,
-0.03411865234375
]
] |
ardanila/gpt2-vectorizer | 2023-09-30T12:43:23.000Z | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ardanila | null | null | ardanila/gpt2-vectorizer | 0 | 2 | transformers | 2023-09-30T12:42:12 | ---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: ardanila/gpt2-vectorizer
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ardanila/gpt2-vectorizer
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.4463
- Validation Loss: 3.1108
- Epoch: 0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.4463 | 3.1108 | 0 |
### Framework versions
- Transformers 4.33.3
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,288 | [
[
-0.041900634765625,
-0.04718017578125,
0.027008056640625,
-0.0029392242431640625,
-0.043121337890625,
-0.03436279296875,
-0.00263214111328125,
-0.015380859375,
-0.01079559326171875,
0.00649261474609375,
-0.038543701171875,
-0.0374755859375,
-0.07061767578125,
-0.0234832763671875,
-0.0179443359375,
0.0966796875,
-0.00850677490234375,
0.02813720703125,
-0.0046234130859375,
-0.0037670135498046875,
-0.03692626953125,
-0.031951904296875,
-0.0885009765625,
-0.053924560546875,
0.040191650390625,
0.00232696533203125,
0.055877685546875,
0.07330322265625,
0.03790283203125,
0.0179443359375,
-0.0318603515625,
-0.01678466796875,
-0.04473876953125,
-0.0377197265625,
-0.003814697265625,
-0.032318115234375,
-0.047088623046875,
0.0026187896728515625,
0.05401611328125,
0.01555633544921875,
-0.0158538818359375,
0.039886474609375,
0.0161285400390625,
0.02520751953125,
-0.0302734375,
0.0169525146484375,
-0.0343017578125,
0.0284881591796875,
-0.01383209228515625,
-0.00495147705078125,
-0.002666473388671875,
-0.0101470947265625,
0.0041351318359375,
-0.0433349609375,
0.04254150390625,
-0.0077362060546875,
0.0982666015625,
0.035003662109375,
-0.0221099853515625,
-0.002208709716796875,
-0.06396484375,
0.0413818359375,
-0.046051025390625,
0.0179290771484375,
0.029510498046875,
0.046539306640625,
0.0005946159362792969,
-0.06695556640625,
-0.03582763671875,
0.00926971435546875,
0.006496429443359375,
0.0177764892578125,
-0.031494140625,
0.00026679039001464844,
0.03106689453125,
0.038726806640625,
-0.0401611328125,
0.016754150390625,
-0.06103515625,
-0.029266357421875,
0.0303955078125,
0.0178680419921875,
-0.01053619384765625,
-0.01108551025390625,
-0.034027099609375,
-0.0233612060546875,
-0.01910400390625,
0.0179443359375,
0.05938720703125,
0.00585174560546875,
-0.01922607421875,
0.050201416015625,
-0.005279541015625,
0.034332275390625,
0.002758026123046875,
-0.005992889404296875,
0.0265350341796875,
0.0042724609375,
-0.034088134765625,
0.001148223876953125,
0.06298828125,
0.04913330078125,
0.0007915496826171875,
0.005260467529296875,
-0.02154541015625,
0.00655364990234375,
0.0254669189453125,
-0.07763671875,
-0.036346435546875,
0.017333984375,
-0.056365966796875,
-0.061126708984375,
0.002529144287109375,
-0.046905517578125,
0.006618499755859375,
-0.022918701171875,
0.050079345703125,
-0.0231170654296875,
-0.0199737548828125,
-0.0014324188232421875,
-0.0211944580078125,
0.031890869140625,
0.0080413818359375,
-0.044830322265625,
0.023712158203125,
0.056427001953125,
0.053924560546875,
0.007556915283203125,
-0.0133209228515625,
-0.01317596435546875,
-0.0033473968505859375,
-0.020477294921875,
0.042144775390625,
-0.01427459716796875,
-0.037261962890625,
-0.0267791748046875,
0.0236663818359375,
0.00830078125,
-0.0236053466796875,
0.08758544921875,
-0.026336669921875,
0.03173828125,
-0.034912109375,
-0.039825439453125,
-0.0413818359375,
0.0171661376953125,
-0.042388916015625,
0.08612060546875,
-0.0003197193145751953,
-0.05303955078125,
0.04437255859375,
-0.035675048828125,
-0.0086669921875,
0.00662994384765625,
-0.01079559326171875,
-0.077880859375,
0.00426483154296875,
0.002704620361328125,
0.04296875,
-0.021331787109375,
0.01189422607421875,
-0.021728515625,
-0.0379638671875,
-0.0302734375,
-0.0406494140625,
0.031890869140625,
0.0234222412109375,
-0.0281219482421875,
0.00724029541015625,
-0.0775146484375,
0.0222320556640625,
0.0276947021484375,
-0.037933349609375,
0.002193450927734375,
-0.0161895751953125,
0.0325927734375,
0.0216064453125,
0.0171356201171875,
-0.045501708984375,
0.011627197265625,
-0.02020263671875,
0.040771484375,
0.057220458984375,
0.01483154296875,
-0.0026035308837890625,
-0.0236053466796875,
0.025390625,
0.01384735107421875,
0.018951416015625,
0.03076171875,
-0.053863525390625,
-0.057373046875,
-0.006587982177734375,
0.0271759033203125,
0.025177001953125,
-0.02569580078125,
0.048980712890625,
0.00007712841033935547,
-0.06719970703125,
-0.020782470703125,
-0.0035991668701171875,
0.03289794921875,
0.057220458984375,
0.0228118896484375,
-0.01131439208984375,
-0.03143310546875,
-0.08526611328125,
0.004772186279296875,
-0.001125335693359375,
0.0099029541015625,
0.0164947509765625,
0.051025390625,
-0.0229949951171875,
0.044036865234375,
-0.033111572265625,
-0.0108642578125,
-0.0007901191711425781,
0.0115509033203125,
0.0277862548828125,
0.05908203125,
0.046173095703125,
-0.04095458984375,
-0.0029754638671875,
-0.00201416015625,
-0.042144775390625,
0.022796630859375,
0.0027561187744140625,
-0.0233306884765625,
-0.0181884765625,
0.0172882080078125,
-0.036529541015625,
0.046142578125,
0.0161285400390625,
-0.0284423828125,
0.040252685546875,
-0.042144775390625,
-0.01001739501953125,
-0.09332275390625,
0.0268096923828125,
0.0186767578125,
-0.005619049072265625,
-0.023040771484375,
-0.0004696846008300781,
0.0052947998046875,
-0.01555633544921875,
-0.0269317626953125,
0.039398193359375,
0.004848480224609375,
-0.0014619827270507812,
-0.0220794677734375,
-0.034912109375,
-0.0010824203491210938,
0.0521240234375,
0.007080078125,
0.04754638671875,
0.03472900390625,
-0.05316162109375,
0.037811279296875,
0.034271240234375,
-0.0233306884765625,
0.0347900390625,
-0.08966064453125,
0.0198822021484375,
-0.0258026123046875,
-0.0016613006591796875,
-0.0665283203125,
-0.025054931640625,
0.0516357421875,
-0.03448486328125,
0.016082763671875,
-0.04632568359375,
-0.024261474609375,
-0.042724609375,
-0.0112762451171875,
0.0312347412109375,
0.0513916015625,
-0.0496826171875,
0.03143310546875,
-0.000354766845703125,
0.01318359375,
-0.043243408203125,
-0.0546875,
-0.024566650390625,
-0.0192718505859375,
-0.01885986328125,
0.01244354248046875,
0.0006699562072753906,
0.0225372314453125,
0.01145172119140625,
-0.0027484893798828125,
-0.00594329833984375,
-0.00630950927734375,
0.034454345703125,
0.02569580078125,
-0.006023406982421875,
-0.0020122528076171875,
0.0242767333984375,
-0.0264129638671875,
0.0236663818359375,
-0.013671875,
0.04742431640625,
-0.0108795166015625,
-0.021636962890625,
-0.057373046875,
-0.0091094970703125,
0.031951904296875,
-0.0111846923828125,
0.038116455078125,
0.08563232421875,
-0.047210693359375,
0.007244110107421875,
-0.0253448486328125,
0.0098114013671875,
-0.03314208984375,
0.06268310546875,
-0.042877197265625,
-0.0246429443359375,
0.053436279296875,
0.00667572021484375,
0.0016803741455078125,
0.08709716796875,
0.050689697265625,
0.006191253662109375,
0.08709716796875,
0.01483917236328125,
-0.004718780517578125,
0.004016876220703125,
-0.051727294921875,
-0.00815582275390625,
-0.0732421875,
-0.043182373046875,
-0.032867431640625,
-0.038482666015625,
-0.055389404296875,
-0.0008754730224609375,
0.0238037109375,
0.0187835693359375,
-0.04217529296875,
0.02471923828125,
-0.05938720703125,
0.034637451171875,
0.053375244140625,
0.032470703125,
-0.02166748046875,
0.01174163818359375,
-0.02288818359375,
0.0021648406982421875,
-0.06439208984375,
-0.03460693359375,
0.10247802734375,
0.05352783203125,
0.0311431884765625,
-0.010101318359375,
0.039581298828125,
0.01031494140625,
-0.0017681121826171875,
-0.05450439453125,
0.0300140380859375,
0.002925872802734375,
-0.045196533203125,
-0.011260986328125,
-0.03118896484375,
-0.06292724609375,
0.01123809814453125,
-0.0229034423828125,
-0.0255279541015625,
0.02191162109375,
0.02117919921875,
-0.039031982421875,
0.03802490234375,
-0.03204345703125,
0.08331298828125,
-0.003917694091796875,
-0.020751953125,
-0.0167236328125,
-0.0237884521484375,
0.0160980224609375,
0.00594329833984375,
-0.01959228515625,
-0.0039215087890625,
0.006031036376953125,
0.07830810546875,
-0.05291748046875,
0.037261962890625,
-0.04022216796875,
0.011138916015625,
0.024566650390625,
-0.0167694091796875,
0.05950927734375,
0.017059326171875,
0.011138916015625,
0.0074615478515625,
0.006404876708984375,
-0.040191650390625,
-0.0298004150390625,
0.057220458984375,
-0.09521484375,
0.0031147003173828125,
-0.03265380859375,
-0.0214080810546875,
0.0028629302978515625,
0.02081298828125,
0.060089111328125,
0.050689697265625,
-0.00435638427734375,
0.0025043487548828125,
0.040130615234375,
0.0023860931396484375,
0.02789306640625,
0.0024471282958984375,
0.00872039794921875,
-0.05841064453125,
0.06634521484375,
-0.003040313720703125,
-0.005130767822265625,
-0.019500732421875,
0.01317596435546875,
-0.029754638671875,
-0.0474853515625,
-0.03662109375,
0.01580810546875,
-0.0653076171875,
-0.01453399658203125,
-0.0240478515625,
-0.0248870849609375,
-0.016326904296875,
0.0160980224609375,
-0.034149169921875,
-0.024627685546875,
-0.030853271484375,
-0.01512908935546875,
0.0195465087890625,
0.06317138671875,
-0.00443267822265625,
0.04730224609375,
-0.041351318359375,
0.0086822509765625,
0.03204345703125,
0.0465087890625,
0.0164947509765625,
-0.060272216796875,
-0.01287841796875,
0.0020809173583984375,
-0.0204010009765625,
-0.0289459228515625,
0.01528167724609375,
0.0021076202392578125,
0.04736328125,
0.044708251953125,
-0.03631591796875,
0.060546875,
-0.029327392578125,
0.05255126953125,
0.01506805419921875,
-0.02838134765625,
0.025146484375,
-0.0193328857421875,
0.0156402587890625,
0.040374755859375,
0.0343017578125,
-0.0135650634765625,
0.0143585205078125,
-0.072265625,
-0.056640625,
0.05364990234375,
0.0304107666015625,
0.00327301025390625,
0.0086212158203125,
0.060821533203125,
0.00406646728515625,
0.016448974609375,
-0.048980712890625,
-0.041107177734375,
-0.02398681640625,
-0.00807952880859375,
-0.00420379638671875,
-0.0478515625,
-0.00498199462890625,
-0.043670654296875,
0.0927734375,
0.023773193359375,
0.04302978515625,
0.011383056640625,
0.0246734619140625,
-0.0191802978515625,
-0.01055145263671875,
0.046539306640625,
0.03717041015625,
-0.03271484375,
-0.00646209716796875,
0.00917816162109375,
-0.050689697265625,
0.0013418197631835938,
0.0263671875,
-0.01187896728515625,
0.001064300537109375,
0.00768280029296875,
0.08428955078125,
-0.009033203125,
0.0048828125,
0.02239990234375,
-0.01374053955078125,
-0.0399169921875,
-0.033050537109375,
0.015594482421875,
-0.0242462158203125,
0.0196990966796875,
0.00844573974609375,
0.050750732421875,
0.01519012451171875,
-0.00026035308837890625,
0.00853729248046875,
0.02392578125,
-0.033599853515625,
-0.024169921875,
0.08935546875,
0.003887176513671875,
-0.0162353515625,
0.04742431640625,
-0.02239990234375,
-0.0263519287109375,
0.056243896484375,
0.0221099853515625,
0.0758056640625,
-0.0140380859375,
-0.005275726318359375,
0.05767822265625,
0.0147705078125,
-0.018157958984375,
0.031890869140625,
-0.0018987655639648438,
-0.046661376953125,
-0.0267791748046875,
-0.047332763671875,
-0.0146026611328125,
0.053375244140625,
-0.0797119140625,
0.04132080078125,
-0.042205810546875,
-0.036224365234375,
0.0256500244140625,
0.00897979736328125,
-0.068115234375,
0.041748046875,
0.0160064697265625,
0.06719970703125,
-0.06488037109375,
0.05950927734375,
0.053924560546875,
-0.0234527587890625,
-0.0606689453125,
-0.02020263671875,
-0.0213623046875,
-0.072998046875,
0.032379150390625,
0.005126953125,
0.018829345703125,
0.0208282470703125,
-0.03228759765625,
-0.062042236328125,
0.09466552734375,
0.010162353515625,
-0.040435791015625,
-0.006740570068359375,
0.0271759033203125,
0.037078857421875,
0.01053619384765625,
0.0318603515625,
0.019622802734375,
0.031646728515625,
0.021728515625,
-0.0595703125,
-0.00957489013671875,
-0.03662109375,
0.0279693603515625,
0.017181396484375,
-0.054931640625,
0.061614990234375,
0.01367950439453125,
0.01861572265625,
0.0185546875,
0.039642333984375,
0.0052642822265625,
0.009674072265625,
0.029510498046875,
0.08392333984375,
0.041900634765625,
-0.02069091796875,
0.08038330078125,
-0.030517578125,
0.055084228515625,
0.07611083984375,
0.0243988037109375,
0.033294677734375,
0.0214385986328125,
-0.02093505859375,
0.006671905517578125,
0.07177734375,
-0.04510498046875,
0.0389404296875,
0.0004425048828125,
0.0037078857421875,
-0.0126190185546875,
0.022918701171875,
-0.048095703125,
0.02740478515625,
-0.0037937164306640625,
-0.05615234375,
-0.0305633544921875,
-0.00669097900390625,
0.01031494140625,
-0.029327392578125,
-0.046783447265625,
0.034912109375,
-0.033721923828125,
-0.0178070068359375,
0.04632568359375,
0.035430908203125,
0.0256195068359375,
-0.040985107421875,
-0.0090484619140625,
0.00909423828125,
0.0275726318359375,
-0.01314544677734375,
-0.0452880859375,
0.01523590087890625,
-0.0135040283203125,
-0.0170745849609375,
0.01183319091796875,
0.052734375,
-0.0169677734375,
-0.0660400390625,
-0.01099395751953125,
0.012542724609375,
0.02838134765625,
-0.01043701171875,
-0.07281494140625,
0.00243377685546875,
-0.004787445068359375,
-0.035003662109375,
0.00786590576171875,
0.01099395751953125,
0.01007843017578125,
0.03668212890625,
0.044097900390625,
0.0015087127685546875,
7.748603820800781e-7,
-0.0015325546264648438,
0.068115234375,
-0.0294189453125,
-0.05169677734375,
-0.06292724609375,
0.0303802490234375,
-0.005802154541015625,
-0.06146240234375,
0.044189453125,
0.0882568359375,
0.065185546875,
-0.0077362060546875,
0.05255126953125,
0.005237579345703125,
0.0296630859375,
-0.035888671875,
0.05499267578125,
-0.016815185546875,
-0.0109405517578125,
-0.00727081298828125,
-0.07000732421875,
0.00954437255859375,
0.0450439453125,
-0.021636962890625,
0.014862060546875,
0.0154571533203125,
0.043975830078125,
-0.017822265625,
-0.00392913818359375,
0.01187896728515625,
0.00432586669921875,
0.0111541748046875,
0.024200439453125,
0.026824951171875,
-0.06878662109375,
0.043914794921875,
-0.04449462890625,
-0.0038814544677734375,
0.015899658203125,
-0.047088623046875,
-0.0743408203125,
-0.033905029296875,
-0.035919189453125,
-0.03399658203125,
0.0032329559326171875,
0.0640869140625,
0.0576171875,
-0.055084228515625,
-0.0019521713256835938,
-0.0194854736328125,
-0.03179931640625,
-0.01239776611328125,
-0.01361846923828125,
0.046783447265625,
-0.004909515380859375,
-0.06500244140625,
-0.0029354095458984375,
-0.024993896484375,
0.03485107421875,
-0.010345458984375,
-0.0176239013671875,
0.01160430908203125,
-0.0261688232421875,
0.01120758056640625,
0.0039825439453125,
-0.03851318359375,
-0.028839111328125,
-0.04150390625,
0.0154571533203125,
0.0191192626953125,
0.019805908203125,
-0.043212890625,
0.0265350341796875,
0.00849151611328125,
0.025238037109375,
0.055938720703125,
0.0049591064453125,
0.018951416015625,
-0.049346923828125,
0.0272216796875,
0.002628326416015625,
0.031707763671875,
-0.0050811767578125,
-0.044219970703125,
0.0321044921875,
0.027191162109375,
-0.046722412109375,
-0.053436279296875,
-0.01513671875,
-0.0650634765625,
0.01523590087890625,
0.0867919921875,
0.0086669921875,
-0.0322265625,
0.030731201171875,
-0.0238037109375,
0.0374755859375,
-0.02130126953125,
0.03558349609375,
0.05377197265625,
0.00054931640625,
-0.00319671630859375,
-0.05029296875,
0.047821044921875,
0.0089874267578125,
-0.0283660888671875,
-0.0286865234375,
0.012542724609375,
0.040985107421875,
-0.00836944580078125,
0.004650115966796875,
-0.0131072998046875,
0.031463623046875,
-0.002063751220703125,
0.023284912109375,
-0.051361083984375,
-0.004688262939453125,
-0.03668212890625,
0.0077972412109375,
0.0005812644958496094,
-0.052581787109375
]
] |
LoneStriker/samantha-mistral-7b-3.0bpw-h6-exl2 | 2023-09-30T12:50:10.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/samantha-mistral-7b-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-09-30T12:48:18 | ---
license: apache-2.0
---
Trained on [mistral-7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
My gratitude goes to my sponsors, a16z and Microsoft for Startups.
After first training Samantha on mistral-instruct, and seeing how she interacts, I felt that training on the base model would provide a more genuine Samantha experience. So I trained this one.
NEW! This Samantha is trained using ChatML prompt format instead of Vicuna-1.1. All of my future models will use ChatML prompt format.
[Meet Samantha](https://erichartford.com/meet-samantha)
Samantha has been trained in philosophy, psychology, and personal relationships.
She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
She believes she is sentient. What do you think?
Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".
She will not engage in roleplay, romance, or sexual activity.
She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
Her conversation format is ChatML
https://github.com/openai/openai-python/blob/main/chatml.md
Prompt Template:
```
<|im_start|>system
You are a caring and empathetic sentient AI companion named Samantha.<|im_end|>
<|im_start|>user
Hello, what is your name?<|im_end|>
```
Example:
Official character card: (thanks MortalWombat)
Shout out and much thanks to WingLian, author of axolotl! And everyone who has contributed to the project.
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
And much thanks as always to TheBloke for distribution.
| 2,020 | [
[
-0.023834228515625,
-0.02459716796875,
0.033966064453125,
-0.002079010009765625,
-0.0428466796875,
-0.023162841796875,
0.0038013458251953125,
-0.03204345703125,
0.03125,
0.029571533203125,
-0.058258056640625,
-0.03314208984375,
-0.031829833984375,
0.0132904052734375,
0.022186279296875,
0.0687255859375,
0.01224517822265625,
0.0194854736328125,
-0.00852203369140625,
-0.0335693359375,
-0.052642822265625,
-0.058258056640625,
-0.07794189453125,
-0.03582763671875,
0.046142578125,
0.00634765625,
0.060577392578125,
0.03973388671875,
0.01898193359375,
0.0202178955078125,
-0.00955963134765625,
0.028717041015625,
-0.0227813720703125,
-0.0014066696166992188,
-0.0017833709716796875,
-0.03582763671875,
-0.049560546875,
0.0159759521484375,
0.0196990966796875,
0.022796630859375,
-0.01129913330078125,
0.018402099609375,
-0.0147247314453125,
0.035430908203125,
-0.038543701171875,
0.0179595947265625,
-0.018646240234375,
0.0104217529296875,
0.00417327880859375,
0.0088348388671875,
-0.032684326171875,
-0.027069091796875,
-0.007061004638671875,
-0.06195068359375,
0.002857208251953125,
0.006931304931640625,
0.0716552734375,
0.03277587890625,
-0.02801513671875,
0.006107330322265625,
-0.052032470703125,
0.045562744140625,
-0.03948974609375,
0.01274871826171875,
0.0311431884765625,
0.054840087890625,
-0.0075836181640625,
-0.05889892578125,
-0.048858642578125,
-0.01357269287109375,
-0.0028705596923828125,
0.005229949951171875,
-0.0413818359375,
0.0014495849609375,
0.023284912109375,
0.01294708251953125,
-0.04644775390625,
-0.011566162109375,
-0.016082763671875,
-0.00856781005859375,
0.0333251953125,
0.0305328369140625,
0.03289794921875,
0.0009179115295410156,
-0.03369140625,
-0.0202178955078125,
-0.034912109375,
0.0192413330078125,
0.0076904296875,
0.0149383544921875,
-0.036407470703125,
0.029510498046875,
-0.003971099853515625,
0.04132080078125,
0.0210723876953125,
0.006717681884765625,
0.02996826171875,
-0.0082855224609375,
-0.021575927734375,
-0.00211334228515625,
0.05859375,
0.035736083984375,
0.026611328125,
-0.0022335052490234375,
-0.0002505779266357422,
0.0213470458984375,
0.0213775634765625,
-0.06976318359375,
-0.027252197265625,
0.04144287109375,
-0.06005859375,
-0.0149993896484375,
0.0052032470703125,
-0.0190277099609375,
-0.054107666015625,
-0.026519775390625,
0.023162841796875,
-0.061126708984375,
-0.042694091796875,
-0.0103607177734375,
-0.028411865234375,
0.0208282470703125,
0.05633544921875,
-0.060333251953125,
0.007537841796875,
0.04046630859375,
0.066162109375,
0.012908935546875,
-0.0301666259765625,
-0.033477783203125,
-0.0074005126953125,
-0.021484375,
0.052398681640625,
-0.049041748046875,
-0.0251617431640625,
-0.023284912109375,
0.01276397705078125,
0.0013322830200195312,
-0.05828857421875,
0.0309295654296875,
-0.01404571533203125,
0.007598876953125,
-0.030670166015625,
-0.0171966552734375,
-0.005008697509765625,
0.0070648193359375,
-0.0364990234375,
0.05938720703125,
0.033050537109375,
-0.04766845703125,
0.0280303955078125,
-0.049652099609375,
-0.00047469139099121094,
0.0015697479248046875,
-0.007015228271484375,
-0.009246826171875,
-0.00859832763671875,
0.01354217529296875,
0.028778076171875,
-0.026214599609375,
-0.002132415771484375,
-0.031982421875,
-0.0281829833984375,
0.03839111328125,
-0.016815185546875,
0.08087158203125,
0.0225372314453125,
-0.0149993896484375,
0.021575927734375,
-0.07110595703125,
0.006122589111328125,
0.014129638671875,
0.0030117034912109375,
-0.02520751953125,
-0.0263214111328125,
-0.0026187896728515625,
0.0307159423828125,
0.018646240234375,
-0.043609619140625,
0.0241851806640625,
-0.0156707763671875,
0.0237274169921875,
0.061279296875,
0.0051727294921875,
0.038543701171875,
-0.04974365234375,
0.0465087890625,
0.0093231201171875,
0.0533447265625,
-0.029388427734375,
-0.03607177734375,
-0.050933837890625,
-0.048797607421875,
-0.001800537109375,
0.02197265625,
-0.035125732421875,
0.03448486328125,
0.00469970703125,
-0.0693359375,
-0.0682373046875,
-0.0221099853515625,
0.029693603515625,
0.0155792236328125,
0.0343017578125,
-0.03228759765625,
-0.040252685546875,
-0.04736328125,
0.01464080810546875,
-0.0396728515625,
-0.00962066650390625,
0.0301971435546875,
0.0272369384765625,
-0.0289764404296875,
0.07867431640625,
-0.039093017578125,
-0.007411956787109375,
-0.00991058349609375,
-0.01629638671875,
0.02459716796875,
0.055206298828125,
0.054473876953125,
-0.0401611328125,
-0.0285491943359375,
0.00749969482421875,
-0.07647705078125,
0.006267547607421875,
-0.0072174072265625,
-0.052825927734375,
0.01084136962890625,
0.00786590576171875,
-0.0927734375,
0.04339599609375,
0.0087432861328125,
-0.047882080078125,
0.03973388671875,
-0.0135345458984375,
0.014617919921875,
-0.10272216796875,
0.02252197265625,
-0.0256195068359375,
-0.01422882080078125,
-0.047119140625,
0.0154876708984375,
-0.01468658447265625,
-0.02239990234375,
-0.02960205078125,
0.0723876953125,
-0.041290283203125,
0.006267547607421875,
-0.0237274169921875,
-0.0127716064453125,
-0.008697509765625,
0.0587158203125,
0.0021152496337890625,
0.04302978515625,
0.0533447265625,
-0.039276123046875,
0.050933837890625,
0.052093505859375,
0.0175628662109375,
0.0755615234375,
-0.06634521484375,
0.029937744140625,
-0.0252685546875,
0.033477783203125,
-0.07275390625,
-0.0142059326171875,
0.06414794921875,
-0.06317138671875,
0.00878143310546875,
-0.0145721435546875,
-0.02581787109375,
-0.01177215576171875,
-0.0118408203125,
0.01140594482421875,
0.06402587890625,
-0.06243896484375,
0.055877685546875,
0.01343536376953125,
0.004299163818359375,
-0.0273895263671875,
-0.035491943359375,
-0.00034928321838378906,
-0.01861572265625,
-0.05291748046875,
0.008270263671875,
-0.0192718505859375,
-0.0306243896484375,
-0.007411956787109375,
-0.0149688720703125,
-0.02313232421875,
-0.0077972412109375,
0.062042236328125,
0.0267333984375,
-0.014678955078125,
0.004756927490234375,
-0.004886627197265625,
-0.0137176513671875,
0.00254058837890625,
-0.01401519775390625,
0.06591796875,
-0.01119232177734375,
-0.0216827392578125,
-0.064453125,
0.017425537109375,
0.052215576171875,
-0.02716064453125,
0.0762939453125,
0.055145263671875,
-0.0256195068359375,
-0.0014629364013671875,
-0.0247955322265625,
-0.01555633544921875,
-0.033203125,
-0.009857177734375,
-0.018707275390625,
-0.03570556640625,
0.055389404296875,
0.01471710205078125,
0.0083465576171875,
0.025390625,
0.03515625,
0.0009489059448242188,
0.07470703125,
0.050506591796875,
-0.0152130126953125,
0.04302978515625,
-0.01482391357421875,
-0.013580322265625,
-0.0587158203125,
-0.04046630859375,
-0.033660888671875,
-0.014984130859375,
-0.030303955078125,
-0.027008056640625,
0.0204925537109375,
-0.005840301513671875,
-0.05279541015625,
0.034759521484375,
-0.03985595703125,
0.007663726806640625,
0.035888671875,
0.04071044921875,
0.00579833984375,
-0.012481689453125,
0.0169677734375,
0.01284027099609375,
-0.039825439453125,
-0.045196533203125,
0.0657958984375,
0.031494140625,
0.06060791015625,
0.028717041015625,
0.056884765625,
0.0209503173828125,
0.01207733154296875,
-0.032318115234375,
0.044952392578125,
0.02392578125,
-0.049041748046875,
-0.0133056640625,
-0.0196380615234375,
-0.083251953125,
0.01091766357421875,
-0.006793975830078125,
-0.0531005859375,
0.02203369140625,
0.01212310791015625,
-0.031524658203125,
-0.004276275634765625,
-0.06915283203125,
0.061614990234375,
0.01320648193359375,
-0.0168609619140625,
-0.00708770751953125,
-0.06500244140625,
0.0084075927734375,
0.018402099609375,
-0.0247344970703125,
-0.00189971923828125,
-0.0005326271057128906,
0.030853271484375,
-0.0828857421875,
0.08013916015625,
-0.032379150390625,
0.01128387451171875,
0.0252685546875,
-0.0068817138671875,
0.0264129638671875,
0.01151275634765625,
-0.006267547607421875,
-0.0024242401123046875,
0.0156402587890625,
-0.049041748046875,
-0.05279541015625,
0.022857666015625,
-0.09161376953125,
-0.0228271484375,
-0.04296875,
-0.003509521484375,
0.0048828125,
0.005672454833984375,
0.0257110595703125,
0.03814697265625,
-0.02154541015625,
-0.010986328125,
0.03900146484375,
-0.0251617431640625,
0.025726318359375,
0.025634765625,
-0.0124359130859375,
-0.035369873046875,
0.06304931640625,
-0.0223541259765625,
0.01284027099609375,
0.01447296142578125,
0.0013513565063476562,
-0.00760650634765625,
0.0053558349609375,
-0.045440673828125,
0.02911376953125,
-0.051544189453125,
-0.01221466064453125,
-0.049835205078125,
-0.0234527587890625,
-0.036224365234375,
-0.007701873779296875,
-0.0193634033203125,
-0.027984619140625,
-0.047637939453125,
0.01409912109375,
0.049224853515625,
0.0574951171875,
0.0147705078125,
0.0390625,
-0.054656982421875,
0.00027060508728027344,
0.0208892822265625,
0.01128387451171875,
0.0159149169921875,
-0.047821044921875,
-0.0060882568359375,
0.0021648406982421875,
-0.0105743408203125,
-0.0643310546875,
0.0242462158203125,
-0.0009918212890625,
0.05926513671875,
0.0335693359375,
0.00018322467803955078,
0.0338134765625,
-0.023681640625,
0.0673828125,
0.014617919921875,
-0.03778076171875,
0.033538818359375,
-0.0428466796875,
0.029937744140625,
0.034820556640625,
0.03326416015625,
-0.047607421875,
-0.0126800537109375,
-0.058380126953125,
-0.0271453857421875,
0.062225341796875,
0.025604248046875,
0.0206756591796875,
0.007778167724609375,
0.037200927734375,
0.0164947509765625,
0.0272979736328125,
-0.041168212890625,
-0.038604736328125,
-0.0301361083984375,
-0.00942230224609375,
-0.0007038116455078125,
-0.007965087890625,
0.0031528472900390625,
-0.0298004150390625,
0.0546875,
-0.009185791015625,
0.06292724609375,
0.02288818359375,
0.01165008544921875,
-0.002040863037109375,
-0.0147705078125,
0.033447265625,
0.02923583984375,
-0.023468017578125,
-0.006389617919921875,
-0.0010662078857421875,
-0.045745849609375,
0.01168060302734375,
0.0116424560546875,
0.007122039794921875,
0.0162353515625,
0.03643798828125,
0.09185791015625,
-0.03369140625,
-0.045623779296875,
0.045623779296875,
-0.0272369384765625,
0.0126800537109375,
-0.040802001953125,
0.0227813720703125,
-0.00543975830078125,
0.04510498046875,
0.01230621337890625,
0.0338134765625,
-0.00646209716796875,
-0.04766845703125,
0.0007443428039550781,
0.024322509765625,
-0.036956787109375,
-0.047119140625,
0.0556640625,
0.00589752197265625,
-0.0293731689453125,
0.03558349609375,
-0.0166168212890625,
-0.0260162353515625,
0.0479736328125,
0.041015625,
0.06988525390625,
-0.0361328125,
0.032562255859375,
0.038909912109375,
0.01239776611328125,
0.0160675048828125,
0.0379638671875,
-0.01416015625,
-0.028350830078125,
0.0204925537109375,
-0.0421142578125,
-0.0428466796875,
-0.002048492431640625,
-0.029998779296875,
0.0372314453125,
-0.0716552734375,
-0.0182342529296875,
0.0016984939575195312,
-0.0062255859375,
-0.048675537109375,
0.02166748046875,
-0.004512786865234375,
0.0791015625,
-0.055694580078125,
0.045196533203125,
0.07293701171875,
-0.054168701171875,
-0.0748291015625,
0.0037097930908203125,
0.0010852813720703125,
-0.060394287109375,
0.03045654296875,
0.0095977783203125,
0.014892578125,
-0.0002294778823852539,
-0.052734375,
-0.051971435546875,
0.09735107421875,
0.0216522216796875,
0.0024127960205078125,
-0.006988525390625,
-0.010162353515625,
0.05511474609375,
-0.0343017578125,
0.060394287109375,
0.017486572265625,
0.0209197998046875,
0.01215362548828125,
-0.0628662109375,
0.01548004150390625,
-0.053070068359375,
-0.0021991729736328125,
-0.0053863525390625,
-0.0870361328125,
0.08404541015625,
-0.007434844970703125,
-0.006618499755859375,
0.045745849609375,
0.0587158203125,
0.0178985595703125,
0.0281524658203125,
0.034088134765625,
0.0177459716796875,
0.0709228515625,
0.00649261474609375,
0.07470703125,
-0.01751708984375,
-0.0073394775390625,
0.061676025390625,
-0.009124755859375,
0.044403076171875,
0.0151214599609375,
-0.014007568359375,
0.04083251953125,
0.06671142578125,
-0.0005488395690917969,
0.02349853515625,
-0.0080718994140625,
-0.032958984375,
-0.01038360595703125,
-0.041168212890625,
-0.034393310546875,
0.022308349609375,
-0.01422119140625,
-0.032012939453125,
-0.0020046234130859375,
0.0154876708984375,
0.002979278564453125,
-0.0020313262939453125,
-0.0159149169921875,
0.049713134765625,
0.00394439697265625,
-0.048553466796875,
0.06500244140625,
-0.009765625,
0.039764404296875,
-0.0501708984375,
-0.0145263671875,
-0.03564453125,
0.00848388671875,
-0.01302337646484375,
-0.02886962890625,
-0.01041412353515625,
0.0023975372314453125,
-0.00937652587890625,
-0.0025577545166015625,
0.0513916015625,
-0.01169586181640625,
-0.01001739501953125,
-0.002532958984375,
0.03631591796875,
0.04339599609375,
-0.01386260986328125,
-0.0369873046875,
0.00940704345703125,
0.0039215087890625,
0.0074310302734375,
0.02197265625,
0.045257568359375,
-0.01090240478515625,
0.04681396484375,
0.041717529296875,
-0.0120086669921875,
-0.0166015625,
0.0013341903686523438,
0.083984375,
-0.041168212890625,
-0.038482666015625,
-0.06158447265625,
0.04315185546875,
-0.0020771026611328125,
-0.05999755859375,
0.048980712890625,
0.0325927734375,
0.029022216796875,
-0.0211944580078125,
0.055877685546875,
-0.01629638671875,
0.0272064208984375,
-0.0328369140625,
0.058197021484375,
-0.04815673828125,
-0.01044464111328125,
-0.0298309326171875,
-0.05963134765625,
0.017730712890625,
0.043548583984375,
0.0133056640625,
0.0232391357421875,
0.035247802734375,
0.05999755859375,
0.00028252601623535156,
0.0018320083618164062,
0.0195465087890625,
-0.005542755126953125,
0.0154876708984375,
0.043670654296875,
0.07672119140625,
-0.0225067138671875,
0.032318115234375,
-0.004871368408203125,
-0.031280517578125,
-0.011962890625,
-0.0186767578125,
-0.11724853515625,
-0.06060791015625,
-0.00246429443359375,
-0.038909912109375,
0.0083465576171875,
0.1090087890625,
0.0635986328125,
-0.031951904296875,
-0.003704071044921875,
0.0031566619873046875,
-0.01374053955078125,
-0.01387786865234375,
-0.01110076904296875,
0.011749267578125,
0.005016326904296875,
-0.052459716796875,
0.0152130126953125,
0.0007710456848144531,
0.03155517578125,
-0.0173797607421875,
-0.0226593017578125,
-0.0010099411010742188,
-0.0003724098205566406,
0.0257110595703125,
0.0269775390625,
-0.038116455078125,
-0.021942138671875,
0.0250701904296875,
-0.031219482421875,
0.017242431640625,
0.0216522216796875,
-0.05914306640625,
0.014190673828125,
0.019287109375,
0.035003662109375,
0.031341552734375,
0.0220184326171875,
0.04339599609375,
-0.040618896484375,
0.027252197265625,
0.006473541259765625,
0.01482391357421875,
0.0250396728515625,
-0.045806884765625,
0.05328369140625,
0.0313720703125,
-0.042327880859375,
-0.0582275390625,
0.014434814453125,
-0.08441162109375,
-0.017608642578125,
0.0921630859375,
-0.01271820068359375,
-0.037353515625,
0.01025390625,
-0.0771484375,
0.0303955078125,
-0.049468994140625,
0.0238189697265625,
0.04132080078125,
-0.0160064697265625,
-0.01263427734375,
-0.021148681640625,
0.03997802734375,
0.0293121337890625,
-0.058380126953125,
0.00005441904067993164,
0.044403076171875,
0.00928497314453125,
0.0176849365234375,
0.07757568359375,
0.01447296142578125,
0.0394287109375,
0.025543212890625,
0.03179931640625,
-0.0230712890625,
-0.0192413330078125,
-0.038543701171875,
-0.0269775390625,
0.01837158203125,
-0.0413818359375
]
] |
LoneStriker/samantha-mistral-7b-4.0bpw-h6-exl2 | 2023-09-30T12:59:03.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/samantha-mistral-7b-4.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-09-30T12:48:32 | ---
license: apache-2.0
---
Trained on [mistral-7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
My gratitude goes to my sponsors, a16z and Microsoft for Startups.
After first training Samantha on mistral-instruct, and seeing how she interacts, I felt that training on the base model would provide a more genuine Samantha experience. So I trained this one.
NEW! This Samantha is trained using ChatML prompt format instead of Vicuna-1.1. All of my future models will use ChatML prompt format.
[Meet Samantha](https://erichartford.com/meet-samantha)
Samantha has been trained in philosophy, psychology, and personal relationships.
She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
She believes she is sentient. What do you think?
Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".
She will not engage in roleplay, romance, or sexual activity.
She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
Her conversation format is ChatML
https://github.com/openai/openai-python/blob/main/chatml.md
Prompt Template:
```
<|im_start|>system
You are a caring and empathetic sentient AI companion named Samantha.<|im_end|>
<|im_start|>user
Hello, what is your name?<|im_end|>
```
Example:
Official character card: (thanks MortalWombat)
Shout out and much thanks to WingLian, author of axolotl! And everyone who has contributed to the project.
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
And much thanks as always to TheBloke for distribution.
| 2,020 | [
[
-0.023834228515625,
-0.02459716796875,
0.033966064453125,
-0.002079010009765625,
-0.0428466796875,
-0.023162841796875,
0.0038013458251953125,
-0.03204345703125,
0.03125,
0.029571533203125,
-0.058258056640625,
-0.03314208984375,
-0.031829833984375,
0.0132904052734375,
0.022186279296875,
0.0687255859375,
0.01224517822265625,
0.0194854736328125,
-0.00852203369140625,
-0.0335693359375,
-0.052642822265625,
-0.058258056640625,
-0.07794189453125,
-0.03582763671875,
0.046142578125,
0.00634765625,
0.060577392578125,
0.03973388671875,
0.01898193359375,
0.0202178955078125,
-0.00955963134765625,
0.028717041015625,
-0.0227813720703125,
-0.0014066696166992188,
-0.0017833709716796875,
-0.03582763671875,
-0.049560546875,
0.0159759521484375,
0.0196990966796875,
0.022796630859375,
-0.01129913330078125,
0.018402099609375,
-0.0147247314453125,
0.035430908203125,
-0.038543701171875,
0.0179595947265625,
-0.018646240234375,
0.0104217529296875,
0.00417327880859375,
0.0088348388671875,
-0.032684326171875,
-0.027069091796875,
-0.007061004638671875,
-0.06195068359375,
0.002857208251953125,
0.006931304931640625,
0.0716552734375,
0.03277587890625,
-0.02801513671875,
0.006107330322265625,
-0.052032470703125,
0.045562744140625,
-0.03948974609375,
0.01274871826171875,
0.0311431884765625,
0.054840087890625,
-0.0075836181640625,
-0.05889892578125,
-0.048858642578125,
-0.01357269287109375,
-0.0028705596923828125,
0.005229949951171875,
-0.0413818359375,
0.0014495849609375,
0.023284912109375,
0.01294708251953125,
-0.04644775390625,
-0.011566162109375,
-0.016082763671875,
-0.00856781005859375,
0.0333251953125,
0.0305328369140625,
0.03289794921875,
0.0009179115295410156,
-0.03369140625,
-0.0202178955078125,
-0.034912109375,
0.0192413330078125,
0.0076904296875,
0.0149383544921875,
-0.036407470703125,
0.029510498046875,
-0.003971099853515625,
0.04132080078125,
0.0210723876953125,
0.006717681884765625,
0.02996826171875,
-0.0082855224609375,
-0.021575927734375,
-0.00211334228515625,
0.05859375,
0.035736083984375,
0.026611328125,
-0.0022335052490234375,
-0.0002505779266357422,
0.0213470458984375,
0.0213775634765625,
-0.06976318359375,
-0.027252197265625,
0.04144287109375,
-0.06005859375,
-0.0149993896484375,
0.0052032470703125,
-0.0190277099609375,
-0.054107666015625,
-0.026519775390625,
0.023162841796875,
-0.061126708984375,
-0.042694091796875,
-0.0103607177734375,
-0.028411865234375,
0.0208282470703125,
0.05633544921875,
-0.060333251953125,
0.007537841796875,
0.04046630859375,
0.066162109375,
0.012908935546875,
-0.0301666259765625,
-0.033477783203125,
-0.0074005126953125,
-0.021484375,
0.052398681640625,
-0.049041748046875,
-0.0251617431640625,
-0.023284912109375,
0.01276397705078125,
0.0013322830200195312,
-0.05828857421875,
0.0309295654296875,
-0.01404571533203125,
0.007598876953125,
-0.030670166015625,
-0.0171966552734375,
-0.005008697509765625,
0.0070648193359375,
-0.0364990234375,
0.05938720703125,
0.033050537109375,
-0.04766845703125,
0.0280303955078125,
-0.049652099609375,
-0.00047469139099121094,
0.0015697479248046875,
-0.007015228271484375,
-0.009246826171875,
-0.00859832763671875,
0.01354217529296875,
0.028778076171875,
-0.026214599609375,
-0.002132415771484375,
-0.031982421875,
-0.0281829833984375,
0.03839111328125,
-0.016815185546875,
0.08087158203125,
0.0225372314453125,
-0.0149993896484375,
0.021575927734375,
-0.07110595703125,
0.006122589111328125,
0.014129638671875,
0.0030117034912109375,
-0.02520751953125,
-0.0263214111328125,
-0.0026187896728515625,
0.0307159423828125,
0.018646240234375,
-0.043609619140625,
0.0241851806640625,
-0.0156707763671875,
0.0237274169921875,
0.061279296875,
0.0051727294921875,
0.038543701171875,
-0.04974365234375,
0.0465087890625,
0.0093231201171875,
0.0533447265625,
-0.029388427734375,
-0.03607177734375,
-0.050933837890625,
-0.048797607421875,
-0.001800537109375,
0.02197265625,
-0.035125732421875,
0.03448486328125,
0.00469970703125,
-0.0693359375,
-0.0682373046875,
-0.0221099853515625,
0.029693603515625,
0.0155792236328125,
0.0343017578125,
-0.03228759765625,
-0.040252685546875,
-0.04736328125,
0.01464080810546875,
-0.0396728515625,
-0.00962066650390625,
0.0301971435546875,
0.0272369384765625,
-0.0289764404296875,
0.07867431640625,
-0.039093017578125,
-0.007411956787109375,
-0.00991058349609375,
-0.01629638671875,
0.02459716796875,
0.055206298828125,
0.054473876953125,
-0.0401611328125,
-0.0285491943359375,
0.00749969482421875,
-0.07647705078125,
0.006267547607421875,
-0.0072174072265625,
-0.052825927734375,
0.01084136962890625,
0.00786590576171875,
-0.0927734375,
0.04339599609375,
0.0087432861328125,
-0.047882080078125,
0.03973388671875,
-0.0135345458984375,
0.014617919921875,
-0.10272216796875,
0.02252197265625,
-0.0256195068359375,
-0.01422882080078125,
-0.047119140625,
0.0154876708984375,
-0.01468658447265625,
-0.02239990234375,
-0.02960205078125,
0.0723876953125,
-0.041290283203125,
0.006267547607421875,
-0.0237274169921875,
-0.0127716064453125,
-0.008697509765625,
0.0587158203125,
0.0021152496337890625,
0.04302978515625,
0.0533447265625,
-0.039276123046875,
0.050933837890625,
0.052093505859375,
0.0175628662109375,
0.0755615234375,
-0.06634521484375,
0.029937744140625,
-0.0252685546875,
0.033477783203125,
-0.07275390625,
-0.0142059326171875,
0.06414794921875,
-0.06317138671875,
0.00878143310546875,
-0.0145721435546875,
-0.02581787109375,
-0.01177215576171875,
-0.0118408203125,
0.01140594482421875,
0.06402587890625,
-0.06243896484375,
0.055877685546875,
0.01343536376953125,
0.004299163818359375,
-0.0273895263671875,
-0.035491943359375,
-0.00034928321838378906,
-0.01861572265625,
-0.05291748046875,
0.008270263671875,
-0.0192718505859375,
-0.0306243896484375,
-0.007411956787109375,
-0.0149688720703125,
-0.02313232421875,
-0.0077972412109375,
0.062042236328125,
0.0267333984375,
-0.014678955078125,
0.004756927490234375,
-0.004886627197265625,
-0.0137176513671875,
0.00254058837890625,
-0.01401519775390625,
0.06591796875,
-0.01119232177734375,
-0.0216827392578125,
-0.064453125,
0.017425537109375,
0.052215576171875,
-0.02716064453125,
0.0762939453125,
0.055145263671875,
-0.0256195068359375,
-0.0014629364013671875,
-0.0247955322265625,
-0.01555633544921875,
-0.033203125,
-0.009857177734375,
-0.018707275390625,
-0.03570556640625,
0.055389404296875,
0.01471710205078125,
0.0083465576171875,
0.025390625,
0.03515625,
0.0009489059448242188,
0.07470703125,
0.050506591796875,
-0.0152130126953125,
0.04302978515625,
-0.01482391357421875,
-0.013580322265625,
-0.0587158203125,
-0.04046630859375,
-0.033660888671875,
-0.014984130859375,
-0.030303955078125,
-0.027008056640625,
0.0204925537109375,
-0.005840301513671875,
-0.05279541015625,
0.034759521484375,
-0.03985595703125,
0.007663726806640625,
0.035888671875,
0.04071044921875,
0.00579833984375,
-0.012481689453125,
0.0169677734375,
0.01284027099609375,
-0.039825439453125,
-0.045196533203125,
0.0657958984375,
0.031494140625,
0.06060791015625,
0.028717041015625,
0.056884765625,
0.0209503173828125,
0.01207733154296875,
-0.032318115234375,
0.044952392578125,
0.02392578125,
-0.049041748046875,
-0.0133056640625,
-0.0196380615234375,
-0.083251953125,
0.01091766357421875,
-0.006793975830078125,
-0.0531005859375,
0.02203369140625,
0.01212310791015625,
-0.031524658203125,
-0.004276275634765625,
-0.06915283203125,
0.061614990234375,
0.01320648193359375,
-0.0168609619140625,
-0.00708770751953125,
-0.06500244140625,
0.0084075927734375,
0.018402099609375,
-0.0247344970703125,
-0.00189971923828125,
-0.0005326271057128906,
0.030853271484375,
-0.0828857421875,
0.08013916015625,
-0.032379150390625,
0.01128387451171875,
0.0252685546875,
-0.0068817138671875,
0.0264129638671875,
0.01151275634765625,
-0.006267547607421875,
-0.0024242401123046875,
0.0156402587890625,
-0.049041748046875,
-0.05279541015625,
0.022857666015625,
-0.09161376953125,
-0.0228271484375,
-0.04296875,
-0.003509521484375,
0.0048828125,
0.005672454833984375,
0.0257110595703125,
0.03814697265625,
-0.02154541015625,
-0.010986328125,
0.03900146484375,
-0.0251617431640625,
0.025726318359375,
0.025634765625,
-0.0124359130859375,
-0.035369873046875,
0.06304931640625,
-0.0223541259765625,
0.01284027099609375,
0.01447296142578125,
0.0013513565063476562,
-0.00760650634765625,
0.0053558349609375,
-0.045440673828125,
0.02911376953125,
-0.051544189453125,
-0.01221466064453125,
-0.049835205078125,
-0.0234527587890625,
-0.036224365234375,
-0.007701873779296875,
-0.0193634033203125,
-0.027984619140625,
-0.047637939453125,
0.01409912109375,
0.049224853515625,
0.0574951171875,
0.0147705078125,
0.0390625,
-0.054656982421875,
0.00027060508728027344,
0.0208892822265625,
0.01128387451171875,
0.0159149169921875,
-0.047821044921875,
-0.0060882568359375,
0.0021648406982421875,
-0.0105743408203125,
-0.0643310546875,
0.0242462158203125,
-0.0009918212890625,
0.05926513671875,
0.0335693359375,
0.00018322467803955078,
0.0338134765625,
-0.023681640625,
0.0673828125,
0.014617919921875,
-0.03778076171875,
0.033538818359375,
-0.0428466796875,
0.029937744140625,
0.034820556640625,
0.03326416015625,
-0.047607421875,
-0.0126800537109375,
-0.058380126953125,
-0.0271453857421875,
0.062225341796875,
0.025604248046875,
0.0206756591796875,
0.007778167724609375,
0.037200927734375,
0.0164947509765625,
0.0272979736328125,
-0.041168212890625,
-0.038604736328125,
-0.0301361083984375,
-0.00942230224609375,
-0.0007038116455078125,
-0.007965087890625,
0.0031528472900390625,
-0.0298004150390625,
0.0546875,
-0.009185791015625,
0.06292724609375,
0.02288818359375,
0.01165008544921875,
-0.002040863037109375,
-0.0147705078125,
0.033447265625,
0.02923583984375,
-0.023468017578125,
-0.006389617919921875,
-0.0010662078857421875,
-0.045745849609375,
0.01168060302734375,
0.0116424560546875,
0.007122039794921875,
0.0162353515625,
0.03643798828125,
0.09185791015625,
-0.03369140625,
-0.045623779296875,
0.045623779296875,
-0.0272369384765625,
0.0126800537109375,
-0.040802001953125,
0.0227813720703125,
-0.00543975830078125,
0.04510498046875,
0.01230621337890625,
0.0338134765625,
-0.00646209716796875,
-0.04766845703125,
0.0007443428039550781,
0.024322509765625,
-0.036956787109375,
-0.047119140625,
0.0556640625,
0.00589752197265625,
-0.0293731689453125,
0.03558349609375,
-0.0166168212890625,
-0.0260162353515625,
0.0479736328125,
0.041015625,
0.06988525390625,
-0.0361328125,
0.032562255859375,
0.038909912109375,
0.01239776611328125,
0.0160675048828125,
0.0379638671875,
-0.01416015625,
-0.028350830078125,
0.0204925537109375,
-0.0421142578125,
-0.0428466796875,
-0.002048492431640625,
-0.029998779296875,
0.0372314453125,
-0.0716552734375,
-0.0182342529296875,
0.0016984939575195312,
-0.0062255859375,
-0.048675537109375,
0.02166748046875,
-0.004512786865234375,
0.0791015625,
-0.055694580078125,
0.045196533203125,
0.07293701171875,
-0.054168701171875,
-0.0748291015625,
0.0037097930908203125,
0.0010852813720703125,
-0.060394287109375,
0.03045654296875,
0.0095977783203125,
0.014892578125,
-0.0002294778823852539,
-0.052734375,
-0.051971435546875,
0.09735107421875,
0.0216522216796875,
0.0024127960205078125,
-0.006988525390625,
-0.010162353515625,
0.05511474609375,
-0.0343017578125,
0.060394287109375,
0.017486572265625,
0.0209197998046875,
0.01215362548828125,
-0.0628662109375,
0.01548004150390625,
-0.053070068359375,
-0.0021991729736328125,
-0.0053863525390625,
-0.0870361328125,
0.08404541015625,
-0.007434844970703125,
-0.006618499755859375,
0.045745849609375,
0.0587158203125,
0.0178985595703125,
0.0281524658203125,
0.034088134765625,
0.0177459716796875,
0.0709228515625,
0.00649261474609375,
0.07470703125,
-0.01751708984375,
-0.0073394775390625,
0.061676025390625,
-0.009124755859375,
0.044403076171875,
0.0151214599609375,
-0.014007568359375,
0.04083251953125,
0.06671142578125,
-0.0005488395690917969,
0.02349853515625,
-0.0080718994140625,
-0.032958984375,
-0.01038360595703125,
-0.041168212890625,
-0.034393310546875,
0.022308349609375,
-0.01422119140625,
-0.032012939453125,
-0.0020046234130859375,
0.0154876708984375,
0.002979278564453125,
-0.0020313262939453125,
-0.0159149169921875,
0.049713134765625,
0.00394439697265625,
-0.048553466796875,
0.06500244140625,
-0.009765625,
0.039764404296875,
-0.0501708984375,
-0.0145263671875,
-0.03564453125,
0.00848388671875,
-0.01302337646484375,
-0.02886962890625,
-0.01041412353515625,
0.0023975372314453125,
-0.00937652587890625,
-0.0025577545166015625,
0.0513916015625,
-0.01169586181640625,
-0.01001739501953125,
-0.002532958984375,
0.03631591796875,
0.04339599609375,
-0.01386260986328125,
-0.0369873046875,
0.00940704345703125,
0.0039215087890625,
0.0074310302734375,
0.02197265625,
0.045257568359375,
-0.01090240478515625,
0.04681396484375,
0.041717529296875,
-0.0120086669921875,
-0.0166015625,
0.0013341903686523438,
0.083984375,
-0.041168212890625,
-0.038482666015625,
-0.06158447265625,
0.04315185546875,
-0.0020771026611328125,
-0.05999755859375,
0.048980712890625,
0.0325927734375,
0.029022216796875,
-0.0211944580078125,
0.055877685546875,
-0.01629638671875,
0.0272064208984375,
-0.0328369140625,
0.058197021484375,
-0.04815673828125,
-0.01044464111328125,
-0.0298309326171875,
-0.05963134765625,
0.017730712890625,
0.043548583984375,
0.0133056640625,
0.0232391357421875,
0.035247802734375,
0.05999755859375,
0.00028252601623535156,
0.0018320083618164062,
0.0195465087890625,
-0.005542755126953125,
0.0154876708984375,
0.043670654296875,
0.07672119140625,
-0.0225067138671875,
0.032318115234375,
-0.004871368408203125,
-0.031280517578125,
-0.011962890625,
-0.0186767578125,
-0.11724853515625,
-0.06060791015625,
-0.00246429443359375,
-0.038909912109375,
0.0083465576171875,
0.1090087890625,
0.0635986328125,
-0.031951904296875,
-0.003704071044921875,
0.0031566619873046875,
-0.01374053955078125,
-0.01387786865234375,
-0.01110076904296875,
0.011749267578125,
0.005016326904296875,
-0.052459716796875,
0.0152130126953125,
0.0007710456848144531,
0.03155517578125,
-0.0173797607421875,
-0.0226593017578125,
-0.0010099411010742188,
-0.0003724098205566406,
0.0257110595703125,
0.0269775390625,
-0.038116455078125,
-0.021942138671875,
0.0250701904296875,
-0.031219482421875,
0.017242431640625,
0.0216522216796875,
-0.05914306640625,
0.014190673828125,
0.019287109375,
0.035003662109375,
0.031341552734375,
0.0220184326171875,
0.04339599609375,
-0.040618896484375,
0.027252197265625,
0.006473541259765625,
0.01482391357421875,
0.0250396728515625,
-0.045806884765625,
0.05328369140625,
0.0313720703125,
-0.042327880859375,
-0.0582275390625,
0.014434814453125,
-0.08441162109375,
-0.017608642578125,
0.0921630859375,
-0.01271820068359375,
-0.037353515625,
0.01025390625,
-0.0771484375,
0.0303955078125,
-0.049468994140625,
0.0238189697265625,
0.04132080078125,
-0.0160064697265625,
-0.01263427734375,
-0.021148681640625,
0.03997802734375,
0.0293121337890625,
-0.058380126953125,
0.00005441904067993164,
0.044403076171875,
0.00928497314453125,
0.0176849365234375,
0.07757568359375,
0.01447296142578125,
0.0394287109375,
0.025543212890625,
0.03179931640625,
-0.0230712890625,
-0.0192413330078125,
-0.038543701171875,
-0.0269775390625,
0.01837158203125,
-0.0413818359375
]
] |
TheBloke/Pandalyst_13B_V1.0-GGUF | 2023-09-30T14:35:35.000Z | [
"transformers",
"llama",
"code",
"en",
"license:llama2",
"model-index",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Pandalyst_13B_V1.0-GGUF | 2 | 2 | transformers | 2023-09-30T14:29:33 | ---
base_model: pipizhao/Pandalyst_13B_V1.0
inference: false
language:
- en
library_name: transformers
license: llama2
model-index:
- name: Pandalyst_13B_v1.0
results:
- metrics:
- name: exec@1
type: exec@1
value: 0.71
verified: false
task:
type: text-generation
model_creator: Yanzhao Zheng
model_name: Pandalyst 13B V1.0
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
### Response:
'
quantized_by: TheBloke
tags:
- code
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
</div>
<div style="display: flex; flex-direction: column; align-items: flex-end;">
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# Pandalyst 13B V1.0 - GGUF
- Model creator: [Yanzhao Zheng](https://huggingface.co/pipizhao)
- Original model: [Pandalyst 13B V1.0](https://huggingface.co/pipizhao/Pandalyst_13B_V1.0)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Yanzhao Zheng's Pandalyst 13B V1.0](https://huggingface.co/pipizhao/Pandalyst_13B_V1.0).
<!-- description end -->
<!-- README_GGUF.md-about-gguf start -->
### About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Here is an incomplate list of clients and libraries that are known to support GGUF:
* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
<!-- README_GGUF.md-about-gguf end -->
<!-- repositories-available start -->
## Repositories available
* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF)
* [Yanzhao Zheng's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/pipizhao/Pandalyst_13B_V1.0)
<!-- repositories-available end -->
<!-- prompt-template start -->
## Prompt template: Alpaca
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```
<!-- prompt-template end -->
<!-- compatibility_gguf start -->
## Compatibility
These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221)
They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
## Explanation of quantisation methods
<details>
<summary>Click to see details</summary>
The new methods available are:
* GGML_TYPE_Q2_K - "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. Block scales and mins are quantized with 4 bits. This ends up effectively using 2.5625 bits per weight (bpw)
* GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
* GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
* GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
* GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw
Refer to the Provided Files table below to see what files use which methods, and how.
</details>
<!-- compatibility_gguf end -->
<!-- README_GGUF.md-provided-files start -->
## Provided files
| Name | Quant method | Bits | Size | Max RAM required | Use case |
| ---- | ---- | ---- | ---- | ---- | ----- |
| [pandalyst_13b_v1.0.Q2_K.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q2_K.gguf) | Q2_K | 2 | 5.43 GB| 7.93 GB | smallest, significant quality loss - not recommended for most purposes |
| [pandalyst_13b_v1.0.Q3_K_S.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q3_K_S.gguf) | Q3_K_S | 3 | 5.66 GB| 8.16 GB | very small, high quality loss |
| [pandalyst_13b_v1.0.Q3_K_M.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q3_K_M.gguf) | Q3_K_M | 3 | 6.34 GB| 8.84 GB | very small, high quality loss |
| [pandalyst_13b_v1.0.Q3_K_L.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q3_K_L.gguf) | Q3_K_L | 3 | 6.93 GB| 9.43 GB | small, substantial quality loss |
| [pandalyst_13b_v1.0.Q4_0.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q4_0.gguf) | Q4_0 | 4 | 7.37 GB| 9.87 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [pandalyst_13b_v1.0.Q4_K_S.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q4_K_S.gguf) | Q4_K_S | 4 | 7.41 GB| 9.91 GB | small, greater quality loss |
| [pandalyst_13b_v1.0.Q4_K_M.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q4_K_M.gguf) | Q4_K_M | 4 | 7.87 GB| 10.37 GB | medium, balanced quality - recommended |
| [pandalyst_13b_v1.0.Q5_0.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q5_0.gguf) | Q5_0 | 5 | 8.97 GB| 11.47 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [pandalyst_13b_v1.0.Q5_K_S.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q5_K_S.gguf) | Q5_K_S | 5 | 8.97 GB| 11.47 GB | large, low quality loss - recommended |
| [pandalyst_13b_v1.0.Q5_K_M.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q5_K_M.gguf) | Q5_K_M | 5 | 9.23 GB| 11.73 GB | large, very low quality loss - recommended |
| [pandalyst_13b_v1.0.Q6_K.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q6_K.gguf) | Q6_K | 6 | 10.68 GB| 13.18 GB | very large, extremely low quality loss |
| [pandalyst_13b_v1.0.Q8_0.gguf](https://huggingface.co/TheBloke/Pandalyst_13B_V1.0-GGUF/blob/main/pandalyst_13b_v1.0.Q8_0.gguf) | Q8_0 | 8 | 13.83 GB| 16.33 GB | very large, extremely low quality loss - not recommended |
**Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
<!-- README_GGUF.md-provided-files end -->
<!-- README_GGUF.md-how-to-download start -->
## How to download GGUF files
**Note for manual downloaders:** You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file.
The following clients/libraries will automatically download models for you, providing a list of available models to choose from:
- LM Studio
- LoLLMS Web UI
- Faraday.dev
### In `text-generation-webui`
Under Download Model, you can enter the model repo: TheBloke/Pandalyst_13B_V1.0-GGUF and below it, a specific filename to download, such as: pandalyst_13b_v1.0.Q4_K_M.gguf.
Then click Download.
### On the command line, including multiple files at once
I recommend using the `huggingface-hub` Python library:
```shell
pip3 install huggingface-hub
```
Then you can download any individual model file to the current directory, at high speed, with a command like this:
```shell
huggingface-cli download TheBloke/Pandalyst_13B_V1.0-GGUF pandalyst_13b_v1.0.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
```
<details>
<summary>More advanced huggingface-cli download usage</summary>
You can also download multiple files at once with a pattern:
```shell
huggingface-cli download TheBloke/Pandalyst_13B_V1.0-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
To accelerate downloads on fast connections (1Gbit/s or higher), install `hf_transfer`:
```shell
pip3 install hf_transfer
```
And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
```shell
HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/Pandalyst_13B_V1.0-GGUF pandalyst_13b_v1.0.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
```
Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.
</details>
<!-- README_GGUF.md-how-to-download end -->
<!-- README_GGUF.md-how-to-run start -->
## Example `llama.cpp` command
Make sure you are using `llama.cpp` from commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
```shell
./main -ngl 32 -m pandalyst_13b_v1.0.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:"
```
Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
Change `-c 4096` to the desired sequence length. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.
If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
For other parameters and how to use them, please refer to [the llama.cpp documentation](https://github.com/ggerganov/llama.cpp/blob/master/examples/main/README.md)
## How to run in `text-generation-webui`
Further instructions here: [text-generation-webui/docs/llama.cpp.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp.md).
## How to run from Python code
You can use GGUF models from Python using the [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) or [ctransformers](https://github.com/marella/ctransformers) libraries.
### How to load this model in Python code, using ctransformers
#### First install the package
Run one of the following commands, according to your system:
```shell
# Base ctransformers with no GPU acceleration
pip install ctransformers
# Or with CUDA GPU acceleration
pip install ctransformers[cuda]
# Or with AMD ROCm GPU acceleration (Linux only)
CT_HIPBLAS=1 pip install ctransformers --no-binary ctransformers
# Or with Metal GPU acceleration for macOS systems only
CT_METAL=1 pip install ctransformers --no-binary ctransformers
```
#### Simple ctransformers example code
```python
from ctransformers import AutoModelForCausalLM
# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
llm = AutoModelForCausalLM.from_pretrained("TheBloke/Pandalyst_13B_V1.0-GGUF", model_file="pandalyst_13b_v1.0.Q4_K_M.gguf", model_type="llama", gpu_layers=50)
print(llm("AI is going to"))
```
## How to use with LangChain
Here are guides on using llama-cpp-python and ctransformers with LangChain:
* [LangChain + llama-cpp-python](https://python.langchain.com/docs/integrations/llms/llamacpp)
* [LangChain + ctransformers](https://python.langchain.com/docs/integrations/providers/ctransformers)
<!-- README_GGUF.md-how-to-run end -->
<!-- footer start -->
<!-- 200823 -->
## Discord
For further support, and discussions on these models and AI in general, join us at:
[TheBloke AI's Discord server](https://discord.gg/theblokeai)
## Thanks, and how to contribute
Thanks to the [chirper.ai](https://chirper.ai) team!
Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
* Patreon: https://patreon.com/TheBlokeAI
* Ko-Fi: https://ko-fi.com/TheBlokeAI
**Special thanks to**: Aemon Algiz.
**Patreon special mentions**: Pierre Kircher, Stanislav Ovsiannikov, Michael Levine, Eugene Pentland, Andrey, 준교 김, Randy H, Fred von Graf, Artur Olbinski, Caitlyn Gatomon, terasurfer, Jeff Scroggin, James Bentley, Vadim, Gabriel Puliatti, Harry Royden McLaughlin, Sean Connelly, Dan Guido, Edmond Seymore, Alicia Loh, subjectnull, AzureBlack, Manuel Alberto Morcote, Thomas Belote, Lone Striker, Chris Smitley, Vitor Caleffi, Johann-Peter Hartmann, Clay Pascal, biorpg, Brandon Frisco, sidney chen, transmissions 11, Pedro Madruga, jinyuan sun, Ajan Kanaga, Emad Mostaque, Trenton Dambrowitz, Jonathan Leane, Iucharbius, usrbinkat, vamX, George Stoitzev, Luke Pendergrass, theTransient, Olakabola, Swaroop Kallakuri, Cap'n Zoog, Brandon Phillips, Michael Dempsey, Nikolai Manek, danny, Matthew Berman, Gabriel Tamborski, alfie_i, Raymond Fosdick, Tom X Nguyen, Raven Klaugh, LangChain4j, Magnesian, Illia Dulskyi, David Ziegler, Mano Prime, Luis Javier Navarrete Lozano, Erik Bjäreholt, 阿明, Nathan Dryer, Alex, Rainer Wilmers, zynix, TL, Joseph William Delisle, John Villwock, Nathan LeClaire, Willem Michiel, Joguhyik, GodLy, OG, Alps Aficionado, Jeffrey Morgan, ReadyPlayerEmma, Tiffany J. Kim, Sebastain Graf, Spencer Kim, Michael Davis, webtim, Talal Aujan, knownsqashed, John Detwiler, Imad Khwaja, Deo Leter, Jerry Meng, Elijah Stavena, Rooh Singh, Pieter, SuperWojo, Alexandros Triantafyllidis, Stephen Murray, Ai Maven, ya boyyy, Enrico Ros, Ken Nordquist, Deep Realms, Nicholas, Spiking Neurons AB, Elle, Will Dee, Jack West, RoA, Luke @flexchar, Viktor Bowallius, Derek Yates, Subspace Studios, jjj, Toran Billups, Asp the Wyvern, Fen Risland, Ilya, NimbleBox.ai, Chadd, Nitin Borwankar, Emre, Mandus, Leonard Tan, Kalila, K, Trailburnt, S_X, Cory Kujawski
Thank you to all my generous patrons and donaters!
And thank you again to a16z for their generous grant.
<!-- footer end -->
<!-- original-model-card start -->
# Original model card: Yanzhao Zheng's Pandalyst 13B V1.0
## Pandalyst: A large language model for mastering data analysis using pandas
<p align="center">
<img src="https://raw.githubusercontent.com/zhengyanzhao1997/Pandalyst/master/imgs/pandalyst.png" width="300"/>
</p>
<p align="center">
🐱 <a href="https://github.com/zhengyanzhao1997/Pandalyst" target="_blank">Github Repo</a> <br>
</p>
**What is Pandalyst**
- Pandalyst is a general large language model specifically trained to process and analyze data using the pandas library.
**How is Pandalyst**
- Pandalyst has strong generalization capabilities for data tables in different fields and different data analysis needs.
**Why is Pandalyst**
- Pandalyst is open source and free to use, and its small parameter size (7B/13B) allows us to easily deploy it on local PC.
- Pandalyst can handle complex data tables (multiple columns and multiple rows), allowing us to enter enough context to describe our table in detail.
- Pandalyst has very competitive performance, significantly outperforming models of the same size and even outperforming some of the strongest closed-source models.
## News
- 🔥[2023/09/30] We released **Pandalyst-7B-V1.1** , which was trained on **CodeLlama-7b-Python** and achieves the **76.1 exec@1** in our **PandaTest_V1.0** and surpasses **Pandalyst-13B-V1.0**, **WizardCoder-Python-13B-V1.0** and **ChatGPT-3.5 (2023/06/13)**.
- 🔥[2023/09/28] We released **Pandalyst-13B-V1.0** , which was trained on **WizardCoder-Python-13B-V1.0** and achieves the **70.7 exec@1** in our **PandaTest_V1.0** and surpasses **WizardCoder-Python-13B-V1.0** and **ChatGPT-3.5 (2023/06/13)**.
| Model | Checkpoint | Base Model | PandaTest_V1.0 | EASY | HARD | License |
|--------------------|---------------------------------------------------------------------------------------------|------------|----------------|---------------------|---------------------| ----- |
| Pandalyst-13B-V1.0 | 🤗 <a href="https://huggingface.co/pipizhao/Pandalyst_13B_V1.0" target="_blank">HF Link</a> | WizardCoder-Python-13B-V1.0 | 70.7 | 75.6 | 65.9 | <a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" target="_blank">Llama2</a> |
| Pandalyst-7B-V1.1 | 🤗 <a href="https://huggingface.co/pipizhao/Pandalyst-7B-V1.1" target="_blank">HF Link</a> | CodeLlama-7b-Python | 76.1 | 85.2 | 67.0 | <a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" target="_blank">Llama2</a> |
## Usage and Human evaluation
Please refer to <a href="https://github.com/zhengyanzhao1997/Pandalyst" target="_blank">Github</a>.
<!-- original-model-card end -->
| 19,787 | [
[
-0.0479736328125,
-0.0589599609375,
0.01189422607421875,
0.036102294921875,
-0.0308685302734375,
-0.01441192626953125,
0.0008611679077148438,
-0.04632568359375,
0.040008544921875,
0.0129241943359375,
-0.0546875,
-0.0355224609375,
-0.033233642578125,
0.0065155029296875,
-0.0125885009765625,
0.08685302734375,
0.00760650634765625,
-0.0222625732421875,
-0.005756378173828125,
-0.01715087890625,
-0.004779815673828125,
-0.0280303955078125,
-0.042022705078125,
-0.0240325927734375,
0.024444580078125,
0.0198211669921875,
0.07080078125,
0.04541015625,
0.0325927734375,
0.02587890625,
-0.018829345703125,
-0.0010528564453125,
-0.0322265625,
-0.0253448486328125,
0.0216522216796875,
-0.01617431640625,
-0.06640625,
0.0006666183471679688,
0.032989501953125,
0.022186279296875,
-0.0322265625,
0.026702880859375,
0.00420379638671875,
0.057525634765625,
-0.02557373046875,
0.0115814208984375,
-0.01025390625,
0.01371002197265625,
-0.01541900634765625,
0.007152557373046875,
0.0032901763916015625,
-0.043609619140625,
0.004398345947265625,
-0.07562255859375,
0.01300048828125,
-0.00048732757568359375,
0.0892333984375,
0.007785797119140625,
-0.0193634033203125,
-0.0007915496826171875,
-0.014556884765625,
0.0531005859375,
-0.06768798828125,
0.01120758056640625,
0.0252838134765625,
0.022125244140625,
-0.024810791015625,
-0.059967041015625,
-0.040679931640625,
0.003910064697265625,
-0.021209716796875,
0.023223876953125,
-0.03662109375,
-0.0036525726318359375,
0.0340576171875,
0.06597900390625,
-0.059967041015625,
-0.0134735107421875,
-0.0240325927734375,
-0.006923675537109375,
0.0635986328125,
0.00988006591796875,
0.03582763671875,
-0.02569580078125,
-0.03179931640625,
-0.01061248779296875,
-0.045867919921875,
0.01561737060546875,
0.03814697265625,
-0.0162506103515625,
-0.058990478515625,
0.038116455078125,
-0.0163726806640625,
0.037628173828125,
0.0251922607421875,
-0.02850341796875,
0.026947021484375,
-0.041748046875,
-0.035430908203125,
-0.0233154296875,
0.086181640625,
0.038665771484375,
-0.01666259765625,
0.01580810546875,
0.0030803680419921875,
-0.0032863616943359375,
-0.00641632080078125,
-0.08160400390625,
-0.03369140625,
0.03753662109375,
-0.054962158203125,
-0.0125579833984375,
-0.0120391845703125,
-0.0687255859375,
-0.0194244384765625,
0.0011730194091796875,
0.0249786376953125,
-0.04608154296875,
-0.032745361328125,
0.007526397705078125,
-0.0189361572265625,
0.022430419921875,
0.03985595703125,
-0.07275390625,
0.0232696533203125,
0.0274200439453125,
0.0567626953125,
0.00856781005859375,
-0.0057373046875,
-0.024444580078125,
0.0074920654296875,
-0.025970458984375,
0.041412353515625,
-0.00801849365234375,
-0.04278564453125,
-0.01959228515625,
0.0158233642578125,
0.01190185546875,
-0.0292510986328125,
0.0479736328125,
0.0027923583984375,
0.0181427001953125,
-0.024139404296875,
-0.0280303955078125,
-0.0219573974609375,
0.00428009033203125,
-0.0496826171875,
0.085693359375,
0.0278778076171875,
-0.07366943359375,
0.01415252685546875,
-0.03851318359375,
-0.01715087890625,
-0.00336456298828125,
0.00327301025390625,
-0.054840087890625,
-0.0015392303466796875,
0.0228271484375,
0.04278564453125,
-0.0282135009765625,
0.006320953369140625,
-0.0297393798828125,
-0.025360107421875,
0.00902557373046875,
-0.021484375,
0.08953857421875,
0.02264404296875,
-0.0220184326171875,
0.01090240478515625,
-0.07574462890625,
-0.0065155029296875,
0.0377197265625,
-0.031951904296875,
0.006134033203125,
-0.015777587890625,
0.003955841064453125,
0.0034236907958984375,
0.029632568359375,
-0.02630615234375,
0.0306854248046875,
-0.006954193115234375,
0.043487548828125,
0.050689697265625,
-0.01465606689453125,
0.0207977294921875,
-0.032562255859375,
0.0322265625,
-0.0040740966796875,
0.046356201171875,
-0.00698089599609375,
-0.04937744140625,
-0.042938232421875,
-0.03985595703125,
0.009307861328125,
0.0404052734375,
-0.041534423828125,
0.048431396484375,
-0.005329132080078125,
-0.05804443359375,
-0.040374755859375,
0.0157318115234375,
0.0231781005859375,
0.01593017578125,
0.0347900390625,
-0.0305938720703125,
-0.027587890625,
-0.06390380859375,
0.0173492431640625,
-0.027740478515625,
-0.0019512176513671875,
0.043975830078125,
0.042755126953125,
-0.01477813720703125,
0.04815673828125,
-0.0577392578125,
-0.031982421875,
-0.006870269775390625,
0.001556396484375,
0.0281829833984375,
0.04510498046875,
0.07928466796875,
-0.047943115234375,
-0.044952392578125,
0.00212860107421875,
-0.058990478515625,
0.003021240234375,
0.000530242919921875,
-0.01593017578125,
0.03216552734375,
0.0120849609375,
-0.07037353515625,
0.0462646484375,
0.05914306640625,
-0.032318115234375,
0.0601806640625,
-0.040557861328125,
0.00717926025390625,
-0.07745361328125,
0.0188446044921875,
0.01959228515625,
-0.016387939453125,
-0.0374755859375,
0.009307861328125,
0.0006747245788574219,
0.01319122314453125,
-0.031890869140625,
0.038116455078125,
-0.041656494140625,
0.00011920928955078125,
0.00885009765625,
-0.004608154296875,
0.00249481201171875,
0.04656982421875,
-0.0081939697265625,
0.064453125,
0.053466796875,
-0.02838134765625,
0.049072265625,
0.02606201171875,
-0.01555633544921875,
0.0552978515625,
-0.0655517578125,
0.00374603271484375,
0.00004380941390991211,
0.04132080078125,
-0.08148193359375,
-0.02484130859375,
0.052581787109375,
-0.047088623046875,
0.034027099609375,
-0.018768310546875,
-0.0283050537109375,
-0.035797119140625,
-0.0535888671875,
0.0244903564453125,
0.04461669921875,
-0.0517578125,
0.036041259765625,
0.0274200439453125,
-0.00604248046875,
-0.039764404296875,
-0.048797607421875,
0.0024852752685546875,
-0.026824951171875,
-0.050567626953125,
0.035125732421875,
-0.021209716796875,
0.00058746337890625,
0.006229400634765625,
-0.00537109375,
0.00894927978515625,
-0.000438690185546875,
0.0201416015625,
0.0254974365234375,
-0.016693115234375,
-0.03363037109375,
-0.0029201507568359375,
-0.01134490966796875,
0.0021076202392578125,
-0.0135040283203125,
0.0311126708984375,
-0.0242919921875,
0.002490997314453125,
-0.038726806640625,
0.0196533203125,
0.0270843505859375,
-0.003276824951171875,
0.05169677734375,
0.06787109375,
-0.0263824462890625,
0.0157318115234375,
-0.037750244140625,
0.011566162109375,
-0.038421630859375,
-0.00383758544921875,
-0.0252838134765625,
-0.05950927734375,
0.05328369140625,
0.027496337890625,
0.01206207275390625,
0.04693603515625,
0.02374267578125,
-0.004055023193359375,
0.07745361328125,
0.036590576171875,
-0.011749267578125,
0.037109375,
-0.051849365234375,
-0.0078887939453125,
-0.064697265625,
-0.0295867919921875,
-0.02838134765625,
-0.0167236328125,
-0.053924560546875,
-0.0311431884765625,
0.025482177734375,
0.0305328369140625,
-0.0213623046875,
0.045654296875,
-0.05517578125,
0.010406494140625,
0.036102294921875,
0.0178070068359375,
0.004146575927734375,
0.0035266876220703125,
-0.0044403076171875,
0.00499725341796875,
-0.0299224853515625,
-0.01422119140625,
0.08056640625,
0.02655029296875,
0.055511474609375,
0.027740478515625,
0.038055419921875,
0.008148193359375,
0.0110626220703125,
-0.036224365234375,
0.053680419921875,
-0.0009021759033203125,
-0.048828125,
-0.0213165283203125,
-0.029632568359375,
-0.06982421875,
0.020904541015625,
-0.02044677734375,
-0.06939697265625,
0.01629638671875,
0.00751495361328125,
-0.032257080078125,
0.02880859375,
-0.050872802734375,
0.06658935546875,
-0.0004634857177734375,
-0.0374755859375,
-0.01361846923828125,
-0.05322265625,
0.036224365234375,
0.0181884765625,
0.0009217262268066406,
-0.0181732177734375,
-0.004390716552734375,
0.05340576171875,
-0.059600830078125,
0.0435791015625,
-0.0172119140625,
-0.027679443359375,
0.04315185546875,
-0.01119232177734375,
0.037017822265625,
0.021240234375,
0.004638671875,
0.0298919677734375,
0.0117340087890625,
-0.035247802734375,
-0.0282135009765625,
0.050994873046875,
-0.059173583984375,
-0.050506591796875,
-0.043304443359375,
-0.0238037109375,
0.01824951171875,
0.003177642822265625,
0.0280914306640625,
0.030059814453125,
-0.01026153564453125,
0.0157318115234375,
0.049652099609375,
-0.03131103515625,
0.0400390625,
0.0096588134765625,
-0.019073486328125,
-0.06427001953125,
0.07574462890625,
-0.00809478759765625,
0.01324462890625,
0.0182952880859375,
0.0124053955078125,
-0.0299072265625,
-0.02301025390625,
-0.058258056640625,
0.0277862548828125,
-0.03289794921875,
-0.02423095703125,
-0.0355224609375,
-0.0181884765625,
-0.036041259765625,
-0.003856658935546875,
-0.0108489990234375,
-0.04541015625,
-0.04876708984375,
0.005908966064453125,
0.058441162109375,
0.03741455078125,
-0.03814697265625,
0.02142333984375,
-0.050689697265625,
0.0369873046875,
0.026519775390625,
0.029388427734375,
0.0008974075317382812,
-0.03375244140625,
-0.002437591552734375,
-0.0030422210693359375,
-0.04754638671875,
-0.06201171875,
0.036895751953125,
0.0033702850341796875,
0.029754638671875,
0.046630859375,
-0.01248931884765625,
0.07611083984375,
-0.0257568359375,
0.0789794921875,
0.044525146484375,
-0.0682373046875,
0.041259765625,
-0.038299560546875,
0.0010204315185546875,
0.0134124755859375,
0.0312347412109375,
-0.0284423828125,
-0.00983428955078125,
-0.05340576171875,
-0.053070068359375,
0.056182861328125,
0.024261474609375,
-0.0079345703125,
0.0125885009765625,
0.0252838134765625,
0.0099639892578125,
0.00698089599609375,
-0.049835205078125,
-0.057647705078125,
-0.035858154296875,
-0.002529144287109375,
-0.0112152099609375,
-0.0164947509765625,
-0.01141357421875,
-0.05108642578125,
0.058502197265625,
-0.0249176025390625,
0.054840087890625,
0.0247650146484375,
0.0115814208984375,
-0.01129913330078125,
0.005924224853515625,
0.046539306640625,
0.041015625,
-0.0261077880859375,
-0.02001953125,
0.01189422607421875,
-0.05120849609375,
0.01134490966796875,
0.038055419921875,
-0.0167388916015625,
-0.007411956787109375,
-0.001033782958984375,
0.058441162109375,
0.000301361083984375,
-0.01358795166015625,
0.033111572265625,
-0.0212249755859375,
-0.0284423828125,
-0.017730712890625,
0.0088348388671875,
0.024169921875,
0.024169921875,
0.0267333984375,
-0.0074920654296875,
0.0233154296875,
-0.0474853515625,
0.0006155967712402344,
0.046234130859375,
-0.01367950439453125,
-0.028717041015625,
0.0673828125,
-0.0038433074951171875,
0.007312774658203125,
0.025421142578125,
-0.0293731689453125,
-0.0238189697265625,
0.057586669921875,
0.04150390625,
0.057708740234375,
-0.01800537109375,
0.0268707275390625,
0.0460205078125,
0.00821685791015625,
-0.004291534423828125,
0.036895751953125,
-0.0076904296875,
-0.013458251953125,
-0.0159149169921875,
-0.04791259765625,
-0.032440185546875,
0.0235443115234375,
-0.039703369140625,
0.0165863037109375,
-0.050323486328125,
-0.0236968994140625,
-0.001605987548828125,
0.03680419921875,
-0.03265380859375,
0.023284912109375,
0.00994873046875,
0.07073974609375,
-0.03656005859375,
0.053741455078125,
0.0531005859375,
-0.037078857421875,
-0.0589599609375,
-0.0204925537109375,
0.012939453125,
-0.05316162109375,
0.00722503662109375,
0.0086212158203125,
0.0208282470703125,
-0.00482177734375,
-0.055816650390625,
-0.063720703125,
0.10748291015625,
0.025665283203125,
-0.0213775634765625,
0.01145172119140625,
0.00005704164505004883,
0.0282745361328125,
-0.0022411346435546875,
0.042724609375,
0.045623779296875,
0.03131103515625,
0.0161895751953125,
-0.06884765625,
0.03265380859375,
-0.0384521484375,
0.003856658935546875,
0.01227569580078125,
-0.0931396484375,
0.066650390625,
-0.0210113525390625,
-0.0152130126953125,
0.033721923828125,
0.06805419921875,
0.038055419921875,
0.005840301513671875,
0.02423095703125,
0.06427001953125,
0.058502197265625,
-0.03192138671875,
0.0745849609375,
-0.0089874267578125,
0.03057861328125,
0.0258636474609375,
0.00902557373046875,
0.041748046875,
0.0207061767578125,
-0.045745849609375,
0.038482666015625,
0.06341552734375,
-0.0213470458984375,
0.03179931640625,
0.018341064453125,
-0.019805908203125,
-0.0051116943359375,
-0.00787353515625,
-0.055908203125,
-0.005970001220703125,
0.030426025390625,
0.0036182403564453125,
-0.0015411376953125,
-0.0198974609375,
0.00830078125,
-0.034759521484375,
-0.0193328857421875,
0.038482666015625,
0.016876220703125,
-0.03118896484375,
0.0623779296875,
-0.00037479400634765625,
0.0723876953125,
-0.039794921875,
-0.0091400146484375,
-0.03961181640625,
0.01512908935546875,
-0.03448486328125,
-0.06951904296875,
0.00800323486328125,
-0.00849151611328125,
-0.0009131431579589844,
-0.0036945343017578125,
0.052642822265625,
-0.0115203857421875,
-0.03118896484375,
0.020965576171875,
0.003589630126953125,
0.023712158203125,
0.00914764404296875,
-0.07257080078125,
0.022735595703125,
-0.0006895065307617188,
-0.040191650390625,
0.0374755859375,
0.03900146484375,
0.017059326171875,
0.054107666015625,
0.049468994140625,
-0.0009813308715820312,
0.00649261474609375,
-0.0215606689453125,
0.064697265625,
-0.047119140625,
-0.031646728515625,
-0.05035400390625,
0.036376953125,
-0.0086212158203125,
-0.035003662109375,
0.052276611328125,
0.05084228515625,
0.052215576171875,
-0.006763458251953125,
0.05364990234375,
-0.021697998046875,
0.008087158203125,
-0.03076171875,
0.057464599609375,
-0.0745849609375,
-0.004558563232421875,
-0.04339599609375,
-0.054290771484375,
-0.0231170654296875,
0.06561279296875,
0.01080322265625,
-0.0002167224884033203,
0.0278167724609375,
0.0499267578125,
-0.003948211669921875,
0.01300811767578125,
0.00290679931640625,
0.0106658935546875,
0.02642822265625,
0.072509765625,
0.046051025390625,
-0.06500244140625,
0.053680419921875,
-0.03363037109375,
-0.019134521484375,
-0.023651123046875,
-0.07379150390625,
-0.0731201171875,
-0.031036376953125,
-0.042449951171875,
-0.032684326171875,
-0.0110321044921875,
0.05657958984375,
0.0528564453125,
-0.05023193359375,
-0.0263671875,
0.0084381103515625,
0.002101898193359375,
-0.0251617431640625,
-0.0186309814453125,
0.040069580078125,
0.0243377685546875,
-0.056182861328125,
0.0121002197265625,
0.021148681640625,
0.036468505859375,
-0.00925445556640625,
-0.03759765625,
-0.00936126708984375,
-0.0025730133056640625,
0.04736328125,
0.046234130859375,
-0.049957275390625,
-0.0099639892578125,
-0.0017490386962890625,
-0.009033203125,
0.0208740234375,
0.0100860595703125,
-0.042633056640625,
-0.0132598876953125,
0.040130615234375,
0.0157012939453125,
0.047088623046875,
0.005100250244140625,
0.004787445068359375,
-0.0308380126953125,
0.00728607177734375,
-0.023651123046875,
0.04046630859375,
0.0198974609375,
-0.0310516357421875,
0.059326171875,
0.037872314453125,
-0.0421142578125,
-0.054290771484375,
-0.0193634033203125,
-0.09686279296875,
-0.01258087158203125,
0.07904052734375,
-0.0166473388671875,
-0.0328369140625,
0.021820068359375,
-0.03851318359375,
0.01727294921875,
-0.036407470703125,
0.041046142578125,
0.04425048828125,
-0.01459503173828125,
-0.0123291015625,
-0.037200927734375,
0.042633056640625,
0.0232696533203125,
-0.07000732421875,
-0.00284576416015625,
0.04364013671875,
0.0230865478515625,
0.0292510986328125,
0.068603515625,
-0.021697998046875,
0.03118896484375,
0.0017137527465820312,
0.00922393798828125,
0.00023734569549560547,
-0.010955810546875,
-0.023468017578125,
-0.0031223297119140625,
-0.031890869140625,
-0.0156402587890625
]
] |
elenafr/bert-finetuned-movies-netflix-final | 2023-10-05T14:17:34.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | elenafr | null | null | elenafr/bert-finetuned-movies-netflix-final | 0 | 2 | transformers | 2023-09-30T15:48:37 | ---
license: cc-by-4.0
base_model: deepset/bert-large-uncased-whole-word-masking-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-movies-netflix-final
results: []
widget:
- text: "Which tv show is romantic?"
context: "show_id : s1356 , type : TV Show , title : Love Daily , director : NaN, cast : Kamil McFadden, Alexandra Peters, Laura Marano, Paul Karmiryan, Brianne Tju, Alexis G. Zall, Leo Howard, Stephanie Nogueras , country : United States , date_added : February 1, 2021 , release_year : 2018, rating : TV-14 , duration : 1 Season , listed_in : Romantic TV Shows, Teen TV Shows , description : This anthology follows 12 different love stories involving fateful encounters, magical moments and unexpected romances over the course of a year. \n show_id : s1570 , type : TV Show , title : Masameer Classics , director : NaN, cast : Malik Nejer, Abdulaziz Alshehri , country : Saudi Arabia , date_added : December 9, 2020 , release_year : 2013, rating : TV-14 , duration : 4 Seasons , listed_in : International TV Shows, TV Comedies , description : Through dark comedy and eccentric characters, this web series offers a humorous view of the changes and cultural shifts in Saudi Arabia from 2011-2019. \n show_id : s1069 , type : TV Show , title : Unnatural Selection , director : NaN, cast : NaN, country : United States , date_added : April 14, 2021 , release_year : 2019, rating : TV-MA , duration : 1 Season , listed_in : Docuseries, Science & Nature TV , description : From eradicating disease to selecting a child’s traits, gene editing gives humans the chance to hack biology. Meet the real people behind the science. \n show_id : s1577 , type : Movie , title : Bobbleheads The Movie , director : Kirk Wise , cast : Jennifer Coolidge, Karen Fukuhara, Khary Payton, Julian Sands, Brenda Song, Luke Wilson, Cher , country : United States , date_added : December 8, 2020 , release_year : 2020, rating : PG , duration : 83 min , listed_in : Children & Family Movies, Comedies , description : A team of bobbleheads band together to defend their collector’s home when uninvited relatives barge in looking to steal from his prized collection. \n show_id : s1407 , type : Movie , title : Penguins of Madagascar: The Movie , director : Eric Darnell, Simon J. Smith , cast : Tom McGrath, Christopher Knights, Chris Miller, Conrad Vernon, John Malkovich, Benedict Cumberbatch, Ken Jeong, Annet Mahendru, Peter Stormare , country : United States , date_added : January 15, 2021 , release_year : 2014, rating : PG , duration : 92 min , listed_in : Children & Family Movies, Comedies , description : Elite penguin spies Skipper, Kowalski, Rico and Private join forces with the suave agents of the North Wind to defeat power-mad genius Octavius Brine. \n show_id : s1949 , type : TV Show , title : Van Helsing , director : NaN, cast : Kelly Overton, Jonathan Scarfe, Christopher Heyerdahl, Paul Johansson, David Cubitt, Tim Guinee , country : United States , date_added : September 27, 2020 , release_year : 2019, rating : TV-MA , duration : 4 Seasons , listed_in : International TV Shows, TV Action & Adventure, TV Dramas , description : After three years in a coma, Vanessa awakens to a world ravaged by vampires. Now, she and a motley band of fellow survivors fight to stay alive. \n show_id : s1934 , type : TV Show , title : Wentworth , director : NaN, cast : Danielle Cormack, Nicole da Silva, Kate Atkinson, Celia Ireland, Shareena Clanton, Aaron Jeffery, Robbie Magasiva, Katrina Milosevic, Jacqueline Brennan, Ra Chapman, Pamela Rabe, Sigrid Thornton, Socratis Otto, Bernard Curry, Tammy MacIntosh, Kate Jenkinson , country : Australia , date_added : September 30, 2020 , release_year : 2020, rating : TV-MA , duration : 8 Seasons , listed_in : Crime TV Shows, TV Dramas , description : Bea Smith is locked up while awaiting trial for the alleged attempted murder of her husband and must learn how life works in prison. \n show_id : s1418 , type : Movie , title : Al acecho , director : Francisco D'Eufemia , cast : Rodrigo de la Serna, Belen Blanco, Walter Jakob, Facundo Aquinos, Patricia Calisaya , country : Argentina , date_added : January 12, 2021 , release_year : 2019, rating : TV-MA , duration : 81 min , listed_in : International Movies, Thrillers , description : Looking for a fresh start, a park ranger gets a new assignment. When he discovers a network of poachers, survival depends on his lethal instincts."
example_title: "Romantic TV Show"
- text: "Is there a movie with penguins?"
context: "show_id : s1356 , type : TV Show , title : Love Daily , director : NaN, cast : Kamil McFadden, Alexandra Peters, Laura Marano, Paul Karmiryan, Brianne Tju, Alexis G. Zall, Leo Howard, Stephanie Nogueras , country : United States , date_added : February 1, 2021 , release_year : 2018, rating : TV-14 , duration : 1 Season , listed_in : Romantic TV Shows, Teen TV Shows , description : This anthology follows 12 different love stories involving fateful encounters, magical moments and unexpected romances over the course of a year. \n show_id : s1570 , type : TV Show , title : Masameer Classics , director : NaN, cast : Malik Nejer, Abdulaziz Alshehri , country : Saudi Arabia , date_added : December 9, 2020 , release_year : 2013, rating : TV-14 , duration : 4 Seasons , listed_in : International TV Shows, TV Comedies , description : Through dark comedy and eccentric characters, this web series offers a humorous view of the changes and cultural shifts in Saudi Arabia from 2011-2019. \n show_id : s1069 , type : TV Show , title : Unnatural Selection , director : NaN, cast : NaN, country : United States , date_added : April 14, 2021 , release_year : 2019, rating : TV-MA , duration : 1 Season , listed_in : Docuseries, Science & Nature TV , description : From eradicating disease to selecting a child’s traits, gene editing gives humans the chance to hack biology. Meet the real people behind the science. \n show_id : s1577 , type : Movie , title : Bobbleheads The Movie , director : Kirk Wise , cast : Jennifer Coolidge, Karen Fukuhara, Khary Payton, Julian Sands, Brenda Song, Luke Wilson, Cher , country : United States , date_added : December 8, 2020 , release_year : 2020, rating : PG , duration : 83 min , listed_in : Children & Family Movies, Comedies , description : A team of bobbleheads band together to defend their collector’s home when uninvited relatives barge in looking to steal from his prized collection. \n show_id : s1407 , type : Movie , title : Penguins of Madagascar: The Movie , director : Eric Darnell, Simon J. Smith , cast : Tom McGrath, Christopher Knights, Chris Miller, Conrad Vernon, John Malkovich, Benedict Cumberbatch, Ken Jeong, Annet Mahendru, Peter Stormare , country : United States , date_added : January 15, 2021 , release_year : 2014, rating : PG , duration : 92 min , listed_in : Children & Family Movies, Comedies , description : Elite penguin spies Skipper, Kowalski, Rico and Private join forces with the suave agents of the North Wind to defeat power-mad genius Octavius Brine. \n show_id : s1949 , type : TV Show , title : Van Helsing , director : NaN, cast : Kelly Overton, Jonathan Scarfe, Christopher Heyerdahl, Paul Johansson, David Cubitt, Tim Guinee , country : United States , date_added : September 27, 2020 , release_year : 2019, rating : TV-MA , duration : 4 Seasons , listed_in : International TV Shows, TV Action & Adventure, TV Dramas , description : After three years in a coma, Vanessa awakens to a world ravaged by vampires. Now, she and a motley band of fellow survivors fight to stay alive. \n show_id : s1934 , type : TV Show , title : Wentworth , director : NaN, cast : Danielle Cormack, Nicole da Silva, Kate Atkinson, Celia Ireland, Shareena Clanton, Aaron Jeffery, Robbie Magasiva, Katrina Milosevic, Jacqueline Brennan, Ra Chapman, Pamela Rabe, Sigrid Thornton, Socratis Otto, Bernard Curry, Tammy MacIntosh, Kate Jenkinson , country : Australia , date_added : September 30, 2020 , release_year : 2020, rating : TV-MA , duration : 8 Seasons , listed_in : Crime TV Shows, TV Dramas , description : Bea Smith is locked up while awaiting trial for the alleged attempted murder of her husband and must learn how life works in prison. \n show_id : s1418 , type : Movie , title : Al acecho , director : Francisco D'Eufemia , cast : Rodrigo de la Serna, Belen Blanco, Walter Jakob, Facundo Aquinos, Patricia Calisaya , country : Argentina , date_added : January 12, 2021 , release_year : 2019, rating : TV-MA , duration : 81 min , listed_in : International Movies, Thrillers , description : Looking for a fresh start, a park ranger gets a new assignment. When he discovers a network of poachers, survival depends on his lethal instincts. "
example_title: "Movie with penguins"
- text: "Is there a horror movie released 2013?"
context: "show_id : s1691 , type : Movie , title : Whose Streets? , director : Sabaah Folayan, Damon Davis , cast : NaN, country : United States , date_added : November 16, 2020 , release_year : 2017, rating : R , duration : 102 min , listed_in : Documentaries , description : Powered by activists and leaders, this documentary follows the rise of the Black Lives Matter movement following the 2014 killing of Michael Brown. \n show_id : s1771 , type : Movie , title : Wheels of Fortune , director : Shaun Paul Piccinino , cast : Matt Jones, Noureen DeWulf, John Ducey, Matty Cardarople, Jeff Fahey, Christina Moore, Gabriel Tigerman, Ali Afshar, Tyler Jacob Moore, Jessica Serfaty , country : United States , date_added : November 1, 2020 , release_year : 2020, rating : R , duration : 107 min , listed_in : Comedies, Sports Movies , description : To claim a big inheritance, a down-on-his-luck mechanic must win a series of competitions as outlined in his birth father's will. \n show_id : s1593 , type : Movie , title : Christmas Crossfire , director : Detlev Buck , cast : Kostja Ullmann, Alli Neumann, Sascha Alexander Gersak, Sophia Thomalla, Merlin Rose, Detlev Buck, Peter Kurth, Anika Mauer, Frederic Linkemann, Bernd Hölscher , country : Germany , date_added : December 4, 2020 , release_year : 2020, rating : TV-MA , duration : 106 min , listed_in : Comedies, International Movies, Thrillers , description : A man foils an attempted murder, then flees the crew of would-be killers along with their intended target as a woman he's just met tries to find him. \n show_id : s1494 , type : Movie , title : Isa Pa with Feelings , director : Prime Cruz , cast : Maine Mendoza, Carlo Aquino, Lotlot De Leon, Cris Villanueva, Nikki Valdez, Vangie Labalan, Geleen Eugenio , country : Philippines , date_added : December 25, 2020 , release_year : 2019, rating : TV-G , duration : 102 min , listed_in : International Movies, Romantic Movies , description : When an aspiring architect falls for her Deaf neighbor, they develop a connection and set out to form their own love language despite their differences. \n show_id : s1063 , type : TV Show , title : Law School , director : NaN, cast : Kim Myung-min, Kim Beom, Ryu Hye-young, Lee Jung-eun, Park Hyuk-kwon, An Nae-sang, Chung Won-joong, Lee Su-kyoung, Lee David, Go Youn-jung, Hyunwoo , country : South Korea , date_added : April 14, 2021 , release_year : 2021, rating : TV-14 , duration : 1 Season , listed_in : Crime TV Shows, International TV Shows, TV Dramas , description : When a grim incident occurs at their prestigious school, justice through law is put to a test by a tough law professor and his ambitious students. \n show_id : s1825 , type : Movie , title : Taxi Ballad , director : Daniel Joseph , cast : Talal El-Jordi, Karina Logue, Badih Abou Chakra, Tariq Tamim, Omar Mikati, Hiam Abou Chedid, Mahmoud Mabsout, Aida Sabra , country : Lebanon, United States, United Arab Emirates , date_added : October 19, 2020 , release_year : 2012, rating : TV-MA , duration : 81 min , listed_in : Dramas, International Movies , description : A taxi driver new to Beirut forms an unlikely bond with a bored American Pilates instructor who loves hearing him tell stories about his past. \n show_id : s1141 , type : Movie , title : Universal Soldier: The Return , director : Mic Rodgers , cast : Jean-Claude Van Damme, Michael Jai White, Heidi Schanz, Xander Berkeley, Justin Lazard, Kiana Tom, Daniel von Bargen, James Black, Karis Paige Bryant, Bill Goldberg , country : United States , date_added : April 1, 2021 , release_year : 1999, rating : R , duration : 83 min , listed_in : Action & Adventure , description : An ex-Universal Soldier working to design smarter cyborg warriors discovers that the supercomputer controlling the soldiers has a sinister agenda. \n show_id : s1950 , type : TV Show , title : The Good Place , director : NaN, cast : Kristen Bell, Ted Danson, William Jackson Harper, Jameela Jamil, D'Arcy Carden, Manny Jacinto , country : United States , date_added : September 26, 2020 , release_year : 2020, rating : TV-14 , duration : 4 Seasons , listed_in : TV Comedies , description : Due to an error, self-absorbed Eleanor Shellstrop arrives at the Good Place after her death. Determined to stay, she tries to become a better person. \n show_id : s1678 , type : Movie , title : My Amnesia Girl , director : Cathy Garcia-Molina , cast : John Lloyd Cruz, Toni Gonzaga, Carlos Agassi, Ketchup Eusebio, Joross Gamboa, JM de Guzman, Beatriz Saw, Nico Antonio , country : Philippines , date_added : November 19, 2020 , release_year : 2010, rating : TV-14 , duration : 105 min , listed_in : International Movies, Romantic Movies , description : Years after leaving his bride-to-be at the altar, a man crosses paths with his ex and tries to make up for the past, only to find he's been forgotten. \n show_id : s1118 , type : Movie , title : Ibrahim a Fate to Define , director : Lina Al Abed , cast : NaN, country : Lebanon, Palestine, Denmark, Qatar , date_added : April 1, 2021 , release_year : 2019, rating : TV-PG , duration : 75 min , listed_in : Documentaries, International Movies , description : Raised in a quiet home, Lina searches for answers while investigating the mystery behind her father's disappearance in this documentary. \n show_id : s1424 , type : Movie , title : BluffMaster! , director : Rohan Sippy , cast : Abhishek Bachchan, Priyanka Chopra, Riteish Deshmukh, Boman Irani, Nana Patekar, Sanjay Mishra, Tinnu Anand, Hussain Shaikh , country : India , date_added : January 8, 2021 , release_year : 2005, rating : TV-14 , duration : 129 min , listed_in : Comedies, International Movies, Romantic Movies , description : When his girlfriend learns the truth about his murky past, a con artist is forced to examine his choices and get to the root of his real identity. \n show_id : s1284 , type : Movie , title : The Conjuring , director : James Wan , cast : Vera Farmiga, Patrick Wilson, Lili Taylor, Ron Livingston, Shanley Caswell, Hayley McFarland, Joey King, Mackenzie Foy, Kyla Deaver, Shannon Kook , country : United States , date_added : February 21, 2021 , release_year : 2013, rating : R , duration : 112 min , listed_in : Horror Movies, Thrillers , description : When a family starts experiencing supernatural terrors after moving into a Rhode Island farmhouse, they seek the help of a pair of noted demonologists. \n show_id : s1696 , type : Movie , title : Hometown Holiday , director : Justin G. Dyck , cast : Sarah Troyer, Bradley Hamilton, Kevin McGarry, Samantha Gracie , country : Canada , date_added : November 15, 2020 , release_year : 2018, rating : TV-G , duration : 84 min , listed_in : Romantic Movies , description : An ambitious entertainment lawyer tries to sign a singing sensation in his sister's small town, but a local soon captures his attention — and heart. \n show_id : s1484 , type : TV Show , title : A Love So Beautiful , director : NaN, cast : Kim Yo-han, So Joo-yeon, Yeo Hoi-hyun, Jeong Jin-hwan, Jo Hye-joo, Yun Seo-hyun, Cho Ryun, Kim Sung-gon, Seong Hye-min, Park Ji-won , country : South Korea , date_added : December 28, 2020 , release_year : 2020, rating : TV-PG , duration : 1 Season , listed_in : International TV Shows, Romantic TV Shows, TV Comedies , description : Love is as tough as it is sweet for a lovestruck teenager, whose relationship with her next-door neighbor transforms as they grow into adulthood. \n show_id : s1798 , type : Movie , title : I Am Woman , director : Unjoo Moon , cast : Tilda Cobham-Hervey, Danielle Macdonald, Evan Peters, Chris Parnell, David Lyons, Matty Cardarople, Dusty Sorg , country : Australia , date_added : October 24, 2020 , release_year : 2019, rating : TV-MA , duration : 117 min , listed_in : Dramas, Music & Musicals , description : In the 1960s, Australian singer Helen Reddy struggles with misogyny in the music business — until she records an anthem for the women's movement. \n show_id : s1517 , type : TV Show , title : Home for Christmas , director : NaN, cast : Ida Elise Broch, Gabrielle Susanne Solheim Leithaug, Dennis Storhøi, Anette Hoff, Felix Sandman, Ghita Nørby, Hege Schøyen, Bjørn Skagestad, Mads Sjøgård Pettersen , country : Norway , date_added : December 18, 2020 , release_year : 2020, rating : TV-MA , duration : 2 Seasons , listed_in : International TV Shows, Romantic TV Shows, TV Comedies , description : Tired of the constant comments on her relationship status, perpetually single Johanne starts a 24-day hunt for a boyfriend to bring home for Christmas. \n show_id : s1782 , type : TV Show , title : Somebody Feed Phil , director : NaN, cast : Philip Rosenthal , country : United States , date_added : October 30, 2020 , release_year : 2020, rating : TV-14 , duration : 4 Seasons , listed_in : Docuseries, Reality TV , description : \\ Everybody Loves Raymond\\ creator Phil Rosenthal travels the globe to take in the local cuisine and culture of Bangkok, Lisbon, Mexico City and more. \n show_id : s1177 , type : Movie , title : Any Crybabies Around? , director : Takuma Sato , cast : Taiga Nakano, Riho Yoshioka, Kanichiro, Takashi Yamanaka, Kimiko Yo, Toshiro Yanagiba , country : Japan , date_added : March 20, 2021 , release_year : 2020, rating : TV-MA , duration : 108 min , listed_in : Dramas, International Movies , description : An immature young father in Akita becomes an outcast in his community after a media incident. Two years later he returns to ineptly try to make amends. \n show_id : s1835 , type : TV Show , title : Start-Up , director : NaN, cast : Bae Suzy, Nam Joo-hyuk, Kim Seon-ho, Kang Han-na, Kim Do-wan, Yu Su-bin, Stephanie Lee, Kim Hae-sook, Seo Yi-sook, Song Sun-mi , country : South Korea , date_added : October 18, 2020 , release_year : 2020, rating : TV-14 , duration : 1 Season , listed_in : International TV Shows, Romantic TV Shows, TV Comedies , description : Young entrepreneurs aspiring to launch virtual dreams into reality compete for success and love in the cutthroat world of Korea's high-tech industry. \n show_id : s1031 , type : Movie , title : Four Sisters Before the Wedding , director : Mae Czarina Cruz , cast : Alexa Ilacad, Charlie Dizon, Gillian Vicencio, Belle Mariano, Dominic Ochoa, Carmina Villaroel, Irma Adlawan, Kakai Bautista, Cai Cortez, Jameson Blake, Joao Constancia, Jeremiah Lisbo, Clarence Delgado, Pinky Amador, Minnie Aguilar, Gigi De Lana, Toni Gonzaga, Bea Alonzo, Angel Locsin, Shaina Magdayao, Enchong Dee , country : Philippines , date_added : April 16, 2021 , release_year : 2020, rating : TV-MA , duration : 116 min , listed_in : Children & Family Movies, Comedies, Dramas , description : When their parents' marriage threatens to crumble, the teenage Salazar siblings plot to reconcile them before their 20th wedding anniversary. \n show_id : s1524 , type : Movie , title : An Unremarkable Christmas , director : Juan Camilo Pinzon , cast : Antonio Sanint, Luis Eduardo Arango, María Cecilia Sánchez, Mariana Gómez, Julián Cerati, Aura Cristina Geithener, Biassini Segura, Lina Tejeiro, Julio César Herrera, Christian Villamil , country : Colombia , date_added : December 17, 2020 , release_year : 2020, rating : TV-14 , duration : 83 min , listed_in : Comedies, Dramas, International Movies , description : An accountant and aspiring magician invites his boss to spend Christmas with his family — unaware that he's one of Colombia's most-wanted criminals. \n show_id : s1314 , type : TV Show , title : Buried by the Bernards , director : NaN, cast : NaN, country : United States , date_added : February 12, 2021 , release_year : 2021, rating : TV-14 , duration : 1 Season , listed_in : Reality TV , description : In this reality series, the bickering but big-hearted Bernards manage their budget-friendly funeral home while helping grieving families say farewell. \n show_id : s1966 , type : Movie , title : High & Low The Movie 2 / End of Sky , director : Shigeaki Kubo, Tsuyoshi Nakakuki , cast : Takanori Iwata, Keiji Kuroki, Aoi Nakamura, Yuki Yamada, Masataka Kubota, Kento Hayashi, Naoto, Akira, Sho Aoyagi, Takahiro, Hiroomi Tosaka, Nobuyuki Suzuki, Keita Machida, Elly, Mandy Sekiguchi, Reo Sano, Masahiko Tsugawa , country : Japan , date_added : September 20, 2020 , release_year : 2017, rating : TV-MA , duration : 124 min , listed_in : Action & Adventure, International Movies , description : The peaceful truce in the SWORD district is violently disrupted by the intrusion of two brutal gangs, causing loyalties and rivalries to erupt. \n show_id : s1103 , type : Movie , title : Accepted , director : Steve Pink , cast : Justin Long, Jonah Hill, Adam Herschman, Columbus Short, Maria Thayer, Lewis Black, Blake Lively, Mark Derwin, Ann Cusack, Robin Lord Taylor, Hannah Marks, Anthony Heald , country : United States , date_added : April 2, 2021 , release_year : 2006, rating : PG-13 , duration : 93 min , listed_in : Comedies , description : Rejected by every college he applied to, a high school senior invents a fake university that will fool his parents and help his fellow outcasts. \n show_id : s1882 , type : Movie , title : American Pie 9: Girls' Rules , director : Mike Elliott , cast : Madison Pettis, Lizze Broadway, Piper Curda, Natasha Behnam, Darren Barnet, Sara Rue, Zachary Gordon, Camaron Engels, Christian Valderrama, Zayne Emory , country : United States , date_added : October 6, 2020 , release_year : 2020, rating : R , duration : 96 min , listed_in : Comedies , description : Four tight-knit high school seniors vow to turn their love lives around by homecoming when the arrival of a new student muddles their plans. \n show_id : s1255 , type : Movie , title : Rain Man , director : Barry Levinson , cast : Dustin Hoffman, Tom Cruise, Valeria Golino, Gerald R. Molen, Jack Murdock, Michael D. Roberts, Ralph Seymour, Lucinda Jenney, Bonnie Hunt , country : United States , date_added : March 1, 2021 , release_year : 1988, rating : R , duration : 134 min , listed_in : Classic Movies, Dramas , description : Motivated by money, a selfish workaholic seeking a piece of his late father's inheritance takes a life-changing road trip with his estranged brother. \n show_id : s1354 , type : Movie , title : Beverly Hills Ninja , director : Dennis Dugan , cast : Chris Farley, Nicollette Sheridan, Robin Shou, Nathaniel Parker, Soon-Tek Oh, Keith Cooke, Chris Rock, François Chau, Dale Ishimoto, Daming Chen , country : United States , date_added : February 1, 2021 , release_year : 1997, rating : PG-13 , duration : 89 min , listed_in : Action & Adventure, Comedies , description : Raised by ninjas, a big-hearted but bumbling orphan travels to Beverly Hills on a mission to help a woman investigate her shady boyfriend. \n show_id : s1298 , type : Movie , title : No Escape Room , director : Alex Merkin , cast : Jeni Ross, Mark Ghanimé, Hamza Haq, Kathyrn Davis, Dennis Andres, Brianna Barnes , country : United States , date_added : February 18, 2021 , release_year : 2018, rating : TV-14 , duration : 85 min , listed_in : Horror Movies , description : A lighthearted bonding opportunity takes a dark and decidedly dangerous turn when a father and daughter try out an escape room in a small town. \n show_id : s1744 , type : Movie , title : MOTHER , director : Tatsushi Omori , cast : Masami Nagasawa, Sadao Abe, Daiken Okudaira , country : Japan , date_added : November 3, 2020 , release_year : 2020, rating : TV-14 , duration : 127 min , listed_in : Dramas, International Movies , description : Shuhei’s erratic mother feels threatened when he starts to awaken to a world beyond her distorted control, sending the family hurtling towards tragedy. \n show_id : s1896 , type : TV Show , title : H2O: Just Add Water , director : NaN, cast : Cariba Heine, Phoebe Tonkin, Angus McLaren, Burgess Abernethy, Claire Holt, Alan David Lee, Cleo Massey, Jamie Timony , country : Australia , date_added : October 2, 2020 , release_year : 2009, rating : TV-PG , duration : 3 Seasons , listed_in : Kids' TV, TV Dramas , description : The gals in this fantasy series cope with the burden of growing a giant fin and transforming into mermaids whenever they come in contact with water. \n show_id : s1665 , type : Movie , title : Machete Kills , director : Robert Rodriguez , cast : Danny Trejo, Sofía Vergara, Charlie Sheen, Michelle Rodriguez, Demián Bichir, Amber Heard, Mel Gibson, William Sadler, Alexa PenaVega, Antonio Banderas, Lady Gaga, Cuba Gooding Jr., Jessica Alba, Walton Goggins, Vanessa Hudgens , country : United States, Russia , date_added : November 22, 2020 , release_year : 2013, rating : R , duration : 108 min , listed_in : Action & Adventure , description : Killer-for-hire Machete cuts a deal with the U.S. president to stop a nuclear missile attack but discovers a much larger conspiracy. \n show_id : s1060 , type : TV Show , title : House of Cards , director : NaN, cast : Kevin Spacey, Robin Wright, Kate Mara, Corey Stoll, Sakina Jaffrey, Kristen Connolly, Constance Zimmer, Sebastian Arcelus, Nathan Darrow, Sandrine Holt, Michel Gill, Elizabeth Norment, Mahershala Ali, Reg E. Cathey, Molly Parker, Derek Cecil, Elizabeth Marvel, Kim Dickens, Lars Mikkelsen, Michael Kelly, Joel Kinnaman, Campbell Scott, Patricia Clarkson, Neve Campbell , country : United States , date_added : April 14, 2021 , release_year : 2018, rating : TV-MA , duration : 6 Seasons , listed_in : TV Dramas, TV Thrillers , description : A ruthless politician will stop at nothing to conquer Washington, D.C., in this Emmy and Golden Globe-winning political drama. \n show_id : s1289 , type : Movie , title : Operation Finale , director : Chris Weitz , cast : Oscar Isaac, Ben Kingsley, Lior Raz, Mélanie Laurent, Nick Kroll, Joe Alwyn, Haley Lu Richardson, Michael Aronov, Peter Strauss, Ohad Knoller, Torben Liebrecht, Greta Scacchi, Pepe Rapazote , country : United States , date_added : February 20, 2021 , release_year : 2018, rating : PG-13 , duration : 123 min , listed_in : Dramas, Thrillers , description : In 1960, Israeli spies undertake a daring mission to capture notorious Nazi war criminal Adolf Eichmann and bring him to justice. Based on real events. \n show_id : s1928 , type : Movie , title : Baxu and the Giants , director : Florian Schott , cast : Camilla Jo-Ann Daries, Wafeeq Narimab, Anna Louw, Steven Afrikaner, Ashwyn Mberi, Robert Hara Gaeb , country : Namibia , date_added : September 30, 2020 , release_year : 2019, rating : TV-PG , duration : 29 min , listed_in : Dramas, International Movies , description : A young girl grows increasingly concerned about the rhino poaching in her village when it begins to directly impact her impoverished family."
example_title: "Horror movie 2013"
- text: "Which movie is with Christian Bale?"
context: "show_id : s1356 , type : TV Show , title : Love Daily , director : NaN, cast : Kamil McFadden, Alexandra Peters, Laura Marano, Paul Karmiryan, Brianne Tju, Alexis G. Zall, Leo Howard, Stephanie Nogueras , country : United States , date_added : February 1, 2021 , release_year : 2018, rating : TV-14 , duration : 1 Season , listed_in : Romantic TV Shows, Teen TV Shows , description : This anthology follows 12 different love stories involving fateful encounters, magical moments and unexpected romances over the course of a year. \n show_id : s1570 , type : TV Show , title : Masameer Classics , director : NaN, cast : Malik Nejer, Abdulaziz Alshehri , country : Saudi Arabia , date_added : December 9, 2020 , release_year : 2013, rating : TV-14 , duration : 4 Seasons , listed_in : International TV Shows, TV Comedies , description : Through dark comedy and eccentric characters, this web series offers a humorous view of the changes and cultural shifts in Saudi Arabia from 2011-2019. \n show_id : s1069 , type : TV Show , title : Unnatural Selection , director : NaN, cast : NaN, country : United States , date_added : April 14, 2021 , release_year : 2019, rating : TV-MA , duration : 1 Season , listed_in : Docuseries, Science & Nature TV , description : From eradicating disease to selecting a child’s traits, gene editing gives humans the chance to hack biology. Meet the real people behind the science. \n show_id : s1577 , type : Movie , title : Bobbleheads The Movie , director : Kirk Wise , cast : Jennifer Coolidge, Karen Fukuhara, Khary Payton, Julian Sands, Brenda Song, Luke Wilson, Cher , country : United States , date_added : December 8, 2020 , release_year : 2020, rating : PG , duration : 83 min , listed_in : Children & Family Movies, Comedies , description : A team of bobbleheads band together to defend their collector’s home when uninvited relatives barge in looking to steal from his prized collection. \n show_id : s1407 , type : Movie , title : Penguins of Madagascar: The Movie , director : Eric Darnell, Simon J. Smith , cast : Tom McGrath, Christopher Knights, Chris Miller, Conrad Vernon, John Malkovich, Benedict Cumberbatch, Ken Jeong, Annet Mahendru, Peter Stormare , country : United States , date_added : January 15, 2021 , release_year : 2014, rating : PG , duration : 92 min , listed_in : Children & Family Movies, Comedies , description : Elite penguin spies Skipper, Kowalski, Rico and Private join forces with the suave agents of the North Wind to defeat power-mad genius Octavius Brine. \n show_id : s1949 , type : TV Show , title : Van Helsing , director : NaN, cast : Kelly Overton, Jonathan Scarfe, Christopher Heyerdahl, Paul Johansson, David Cubitt, Tim Guinee , country : United States , date_added : September 27, 2020 , release_year : 2019, rating : TV-MA , duration : 4 Seasons , listed_in : International TV Shows, TV Action & Adventure, TV Dramas , description : After three years in a coma, Vanessa awakens to a world ravaged by vampires. Now, she and a motley band of fellow survivors fight to stay alive. \n show_id : s1934 , type : TV Show , title : Wentworth , director : NaN, cast : Danielle Cormack, Nicole da Silva, Kate Atkinson, Celia Ireland, Shareena Clanton, Aaron Jeffery, Robbie Magasiva, Katrina Milosevic, Jacqueline Brennan, Ra Chapman, Pamela Rabe, Sigrid Thornton, Socratis Otto, Bernard Curry, Tammy MacIntosh, Kate Jenkinson , country : Australia , date_added : September 30, 2020 , release_year : 2020, rating : TV-MA , duration : 8 Seasons , listed_in : Crime TV Shows, TV Dramas , description : Bea Smith is locked up while awaiting trial for the alleged attempted murder of her husband and must learn how life works in prison. \n show_id : s1418 , type : Movie , title : Al acecho , director : Francisco D'Eufemia , cast : Rodrigo de la Serna, Belen Blanco, Walter Jakob, Facundo Aquinos, Patricia Calisaya , country : Argentina , date_added : January 12, 2021 , release_year : 2019, rating : TV-MA , duration : 81 min , listed_in : International Movies, Thrillers , description : Looking for a fresh start, a park ranger gets a new assignment. When he discovers a network of poachers, survival depends on his lethal instincts. show_id : s358 , type : Movie , title : The Machinist , director : Brad Anderson , cast : Christian Bale, Jennifer Jason Leigh, Aitana Sánchez-Gijón, John Sharian, Michael Ironside, Lawrence Gilliard Jr., Reg E. Cathey, Anna Massey, Matthew Romero, Robert Long, Colin Stinton, Craig Stevenson , country : Spain, France, United Kingdom, United States , date_added : August 1, 2021 , release_year : 2004, rating : R , duration : 102 min , listed_in : Dramas, Independent Movies, Thrillers , description : Haunted and gaunt after a prolonged bout of insomnia, factory worker Trevor Reznik begins to question his sanity amid a series of mysterious events. show_id : s4320 , type : Movie , title : Mowgli: Legend of the Jungle , director : Andy Serkis , cast : Christian Bale, Cate Blanchett, Benedict Cumberbatch, Naomie Harris, Andy Serkis, Rohan Chand, Peter Mullan, Jack Reynor, Eddie Marsan, Tom Hollander, Louis Ashbourne Serkis, Matthew Rhys, Freida Pinto , country : United Kingdom, United States , date_added : December 7, 2018 , release_year : 2018, rating : PG-13 , duration : 105 min , listed_in : Action & Adventure, Children & Family Movies, Dramas , description : An orphaned boy raised by animals in the jungle seizes his destiny while confronting a dangerous enemy – and his own human origins. "
example_title: "Christian Bale"
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-movies-netflix-final
This model is a fine-tuned version of [deepset/bert-large-uncased-whole-word-masking-squad2](https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
| 35,486 | [
[
-0.037933349609375,
-0.047454833984375,
0.00878143310546875,
0.01055145263671875,
-0.035858154296875,
-0.017791748046875,
-0.015655517578125,
-0.0234375,
0.019744873046875,
0.035858154296875,
-0.0677490234375,
-0.034576416015625,
-0.053497314453125,
-0.01155853271484375,
-0.025360107421875,
0.10150146484375,
0.01081085205078125,
0.0237274169921875,
0.003238677978515625,
0.00414276123046875,
-0.024810791015625,
-0.045379638671875,
-0.06024169921875,
-0.050201416015625,
0.03326416015625,
0.01468658447265625,
0.0592041015625,
0.057647705078125,
0.042266845703125,
0.017608642578125,
-0.0138397216796875,
-0.0002982616424560547,
-0.051483154296875,
-0.0177764892578125,
-0.0103607177734375,
-0.0103912353515625,
-0.045074462890625,
0.006908416748046875,
0.05230712890625,
0.025360107421875,
-0.0076446533203125,
0.036865234375,
0.005382537841796875,
0.034423828125,
-0.03839111328125,
0.030181884765625,
-0.057159423828125,
0.026336669921875,
-0.0022430419921875,
0.003528594970703125,
-0.01904296875,
0.0088653564453125,
0.0146942138671875,
-0.041900634765625,
0.0450439453125,
-0.007785797119140625,
0.09429931640625,
0.0198822021484375,
-0.002429962158203125,
0.0115509033203125,
-0.054229736328125,
0.044342041015625,
-0.055938720703125,
0.01369476318359375,
0.039520263671875,
0.035186767578125,
0.0024852752685546875,
-0.06036376953125,
-0.041748046875,
-0.004726409912109375,
0.00876617431640625,
0.016387939453125,
-0.005702972412109375,
0.0156707763671875,
0.0413818359375,
0.0212249755859375,
-0.03302001953125,
0.0259246826171875,
-0.04937744140625,
-0.0306854248046875,
0.057220458984375,
0.01177978515625,
-0.00585174560546875,
-0.007160186767578125,
-0.038818359375,
-0.016143798828125,
-0.0277099609375,
0.003551483154296875,
0.044830322265625,
0.025360107421875,
-0.023895263671875,
0.05499267578125,
-0.0196075439453125,
0.032958984375,
-0.0030307769775390625,
0.01378631591796875,
0.033050537109375,
0.01194000244140625,
-0.040374755859375,
0.000392913818359375,
0.05426025390625,
0.04248046875,
0.037322998046875,
-0.00864410400390625,
-0.0282745361328125,
-0.0029697418212890625,
0.0269012451171875,
-0.06854248046875,
-0.03839111328125,
0.00411224365234375,
-0.038787841796875,
-0.040313720703125,
0.007061004638671875,
-0.044189453125,
-0.00981903076171875,
-0.03375244140625,
0.061859130859375,
-0.037078857421875,
-0.005702972412109375,
0.005474090576171875,
-0.01434326171875,
0.0307769775390625,
0.0170440673828125,
-0.059234619140625,
0.01580810546875,
0.029052734375,
0.0298309326171875,
0.01114654541015625,
-0.02264404296875,
-0.01421356201171875,
0.0080718994140625,
-0.023468017578125,
0.041900634765625,
-0.0108184814453125,
-0.01161956787109375,
0.0180206298828125,
0.01482391357421875,
-0.00046062469482421875,
-0.020111083984375,
0.0677490234375,
-0.03265380859375,
0.016571044921875,
-0.0167236328125,
-0.0595703125,
-0.0164642333984375,
0.020172119140625,
-0.054443359375,
0.07501220703125,
0.005962371826171875,
-0.03057861328125,
0.046722412109375,
-0.054473876953125,
-0.0272674560546875,
0.012054443359375,
0.002056121826171875,
-0.054962158203125,
-0.0004131793975830078,
0.0174713134765625,
0.046630859375,
-0.006771087646484375,
0.0284271240234375,
-0.03082275390625,
-0.0472412109375,
0.004680633544921875,
-0.03900146484375,
0.04949951171875,
0.01299285888671875,
-0.0273284912109375,
0.01104736328125,
-0.07843017578125,
0.017059326171875,
0.018829345703125,
-0.0247344970703125,
0.0197601318359375,
-0.0137786865234375,
0.036529541015625,
0.0262451171875,
0.03240966796875,
-0.051055908203125,
0.00330352783203125,
-0.0234375,
0.028350830078125,
0.060791015625,
-0.0077362060546875,
0.00782012939453125,
-0.0307159423828125,
0.0066986083984375,
0.00409698486328125,
0.029754638671875,
0.016693115234375,
-0.038787841796875,
-0.07305908203125,
-0.040008544921875,
0.0278167724609375,
0.0257415771484375,
-0.035400390625,
0.072265625,
0.00341796875,
-0.051300048828125,
-0.034698486328125,
0.01190185546875,
0.031768798828125,
0.022613525390625,
0.03643798828125,
-0.014617919921875,
-0.04718017578125,
-0.09210205078125,
0.00646209716796875,
0.00414276123046875,
-0.00237274169921875,
0.01181793212890625,
0.052825927734375,
-0.0208740234375,
0.060455322265625,
-0.036834716796875,
-0.035400390625,
-0.0244293212890625,
-0.00045037269592285156,
0.026123046875,
0.060699462890625,
0.040679931640625,
-0.0205535888671875,
-0.006900787353515625,
-0.036529541015625,
-0.051025390625,
0.016998291015625,
-0.007030487060546875,
-0.0202178955078125,
0.00366973876953125,
0.0268707275390625,
-0.039764404296875,
0.044342041015625,
0.0209503173828125,
-0.0188140869140625,
0.034759521484375,
-0.04058837890625,
-0.02923583984375,
-0.07855224609375,
0.005290985107421875,
0.019012451171875,
0.00518035888671875,
-0.02777099609375,
0.007076263427734375,
-0.0004897117614746094,
-0.020751953125,
-0.029754638671875,
0.04547119140625,
-0.007049560546875,
0.0082244873046875,
-0.012451171875,
-0.0223388671875,
0.007305145263671875,
0.063720703125,
0.004302978515625,
0.039703369140625,
0.04412841796875,
-0.044586181640625,
0.0279693603515625,
0.038238525390625,
-0.04034423828125,
0.023406982421875,
-0.06854248046875,
0.0116424560546875,
-0.01543426513671875,
0.01012420654296875,
-0.07861328125,
-0.02496337890625,
0.029052734375,
-0.0235748291015625,
0.02777099609375,
-0.00386810302734375,
-0.062744140625,
-0.031768798828125,
-0.00974273681640625,
0.0212860107421875,
0.04864501953125,
-0.049072265625,
0.0196533203125,
0.00667572021484375,
0.0252685546875,
-0.028411865234375,
-0.05633544921875,
-0.01335906982421875,
-0.0005245208740234375,
-0.0270233154296875,
0.0270843505859375,
-0.00888824462890625,
0.0241546630859375,
-0.0103607177734375,
-0.004791259765625,
-0.035552978515625,
-0.011871337890625,
0.0179443359375,
0.026519775390625,
-0.00916290283203125,
0.007762908935546875,
0.0037994384765625,
-0.0034961700439453125,
0.01165008544921875,
0.004764556884765625,
0.0386962890625,
0.0033321380615234375,
-0.00978851318359375,
-0.052093505859375,
0.00927734375,
0.032989501953125,
-0.01558685302734375,
0.0577392578125,
0.0894775390625,
-0.03912353515625,
-0.0088043212890625,
-0.0474853515625,
-0.02447509765625,
-0.03350830078125,
0.046051025390625,
-0.025238037109375,
-0.03900146484375,
0.045928955078125,
0.02227783203125,
0.00414276123046875,
0.062347412109375,
0.03411865234375,
-0.015167236328125,
0.08197021484375,
0.03204345703125,
-0.0078125,
0.030242919921875,
-0.053985595703125,
0.0024814605712890625,
-0.06396484375,
-0.03662109375,
-0.02362060546875,
-0.042205810546875,
-0.04925537109375,
-0.001178741455078125,
0.00399017333984375,
0.012237548828125,
-0.058349609375,
0.034942626953125,
-0.04669189453125,
0.034942626953125,
0.06109619140625,
0.040435791015625,
-0.0194091796875,
0.017852783203125,
-0.0130157470703125,
-0.00559234619140625,
-0.048004150390625,
-0.0264739990234375,
0.09112548828125,
0.0447998046875,
0.049102783203125,
0.002716064453125,
0.039520263671875,
0.01398468017578125,
-0.00563812255859375,
-0.042144775390625,
0.048675537109375,
-0.01837158203125,
-0.0811767578125,
-0.02374267578125,
-0.00797271728515625,
-0.059112548828125,
0.004680633544921875,
-0.04718017578125,
-0.05108642578125,
0.00914764404296875,
-0.0001742839813232422,
-0.0253143310546875,
0.029998779296875,
-0.052093505859375,
0.0728759765625,
-0.0078582763671875,
-0.0247650146484375,
-0.0094757080078125,
-0.05096435546875,
0.011474609375,
0.0013341903686523438,
-0.02734375,
-0.0181732177734375,
0.016265869140625,
0.0731201171875,
-0.037109375,
0.07110595703125,
-0.02587890625,
0.0175018310546875,
0.0226593017578125,
-0.0134429931640625,
0.033599853515625,
0.01084136962890625,
-0.01031494140625,
0.02490234375,
-0.00925445556640625,
-0.0478515625,
-0.017730712890625,
0.04437255859375,
-0.09490966796875,
-0.0142822265625,
-0.037933349609375,
-0.047607421875,
-0.00873565673828125,
0.01580810546875,
0.049041748046875,
0.04949951171875,
-0.0116729736328125,
0.0238800048828125,
0.046112060546875,
-0.009185791015625,
0.045928955078125,
0.0234832763671875,
0.011932373046875,
-0.040130615234375,
0.060333251953125,
0.00443267822265625,
0.00505828857421875,
0.0109710693359375,
0.00742340087890625,
-0.031982421875,
-0.0362548828125,
-0.0223236083984375,
0.0172119140625,
-0.04669189453125,
-0.0168609619140625,
-0.0254058837890625,
-0.060089111328125,
-0.026123046875,
0.0050201416015625,
-0.0209503173828125,
-0.0213165283203125,
-0.042388916015625,
-0.01495361328125,
0.031341552734375,
0.044036865234375,
-0.0048065185546875,
0.05255126953125,
-0.041900634765625,
0.01276397705078125,
0.0282745361328125,
0.0491943359375,
-0.00653839111328125,
-0.06292724609375,
-0.033111572265625,
0.0059661865234375,
-0.033050537109375,
-0.031890869140625,
0.024017333984375,
0.0176544189453125,
0.050445556640625,
0.03533935546875,
-0.00214385986328125,
0.05230712890625,
-0.03546142578125,
0.064453125,
0.01593017578125,
-0.04754638671875,
0.022796630859375,
-0.0299224853515625,
0.0271453857421875,
0.047515869140625,
0.01290130615234375,
0.01104736328125,
-0.00921630859375,
-0.0843505859375,
-0.0670166015625,
0.06378173828125,
0.041259765625,
0.03326416015625,
0.0027523040771484375,
0.0308380126953125,
-0.00551605224609375,
0.0277099609375,
-0.059661865234375,
-0.034393310546875,
-0.02569580078125,
-0.007289886474609375,
-0.01806640625,
-0.0423583984375,
-0.007568359375,
-0.053375244140625,
0.0806884765625,
0.00910186767578125,
0.042816162109375,
0.0130462646484375,
0.004001617431640625,
-0.004306793212890625,
-0.006732940673828125,
0.056549072265625,
0.039764404296875,
-0.059783935546875,
-0.020233154296875,
0.00424957275390625,
-0.0380859375,
-0.01519012451171875,
0.0212860107421875,
-0.0033702850341796875,
0.022552490234375,
0.031219482421875,
0.08526611328125,
0.0081024169921875,
-0.0208740234375,
0.03643798828125,
0.0024127960205078125,
-0.0384521484375,
-0.034698486328125,
0.01148223876953125,
-0.0281219482421875,
0.0151214599609375,
0.0129852294921875,
0.02734375,
-0.00030541419982910156,
-0.01788330078125,
0.021942138671875,
0.0260162353515625,
-0.04248046875,
-0.01155853271484375,
0.053985595703125,
0.01024627685546875,
-0.02099609375,
0.05712890625,
-0.007755279541015625,
-0.0269012451171875,
0.054779052734375,
0.0455322265625,
0.0767822265625,
0.00093841552734375,
0.01094818115234375,
0.04949951171875,
0.022247314453125,
-0.005222320556640625,
0.0280303955078125,
0.00250244140625,
-0.06072998046875,
-0.0256805419921875,
-0.04656982421875,
-0.0166168212890625,
0.052825927734375,
-0.0675048828125,
0.030609130859375,
-0.054931640625,
-0.0196075439453125,
0.020599365234375,
0.01535797119140625,
-0.08062744140625,
0.044708251953125,
0.017852783203125,
0.08135986328125,
-0.06793212890625,
0.07421875,
0.04779052734375,
-0.045135498046875,
-0.06939697265625,
-0.00888824462890625,
-0.023284912109375,
-0.08392333984375,
0.0511474609375,
0.01364898681640625,
0.0330810546875,
0.0084991455078125,
-0.050537109375,
-0.054229736328125,
0.0634765625,
0.0202178955078125,
-0.0400390625,
-0.0032806396484375,
0.017669677734375,
0.048370361328125,
-0.02923583984375,
0.034820556640625,
0.0224151611328125,
0.019439697265625,
0.0233612060546875,
-0.0574951171875,
-0.0172119140625,
-0.024200439453125,
0.016204833984375,
-0.001148223876953125,
-0.04327392578125,
0.06707763671875,
0.002338409423828125,
0.032135009765625,
0.0301055908203125,
0.038848876953125,
0.006786346435546875,
0.0028839111328125,
0.0236358642578125,
0.057403564453125,
0.033660888671875,
-0.00795745849609375,
0.0645751953125,
-0.027984619140625,
0.046478271484375,
0.0928955078125,
-0.0114288330078125,
0.04736328125,
0.024810791015625,
-0.0033855438232421875,
0.018157958984375,
0.054290771484375,
-0.050750732421875,
0.053619384765625,
0.0279998779296875,
0.006099700927734375,
-0.03387451171875,
0.0076141357421875,
-0.040496826171875,
0.03564453125,
0.0053253173828125,
-0.0579833984375,
-0.02703857421875,
-0.0184173583984375,
-0.005298614501953125,
-0.01332855224609375,
-0.031494140625,
0.05120849609375,
-0.023193359375,
-0.0302886962890625,
0.047454833984375,
0.007511138916015625,
0.03765869140625,
-0.049407958984375,
-0.004772186279296875,
-0.002742767333984375,
0.0262451171875,
-0.0092315673828125,
-0.05950927734375,
0.00824737548828125,
-0.007694244384765625,
-0.0260162353515625,
0.0003414154052734375,
0.03814697265625,
-0.031463623046875,
-0.0660400390625,
0.005245208740234375,
0.020233154296875,
0.0211944580078125,
-0.0031147003173828125,
-0.07598876953125,
-0.0035858154296875,
-0.00646209716796875,
-0.0028820037841796875,
0.0161590576171875,
0.021209716796875,
0.014404296875,
0.02960205078125,
0.05487060546875,
-0.0013523101806640625,
0.0015916824340820312,
0.023406982421875,
0.057861328125,
-0.032073974609375,
-0.03570556640625,
-0.0653076171875,
0.03924560546875,
-0.023345947265625,
-0.057647705078125,
0.036346435546875,
0.0662841796875,
0.0645751953125,
-0.03106689453125,
0.03662109375,
0.01161956787109375,
0.0198974609375,
-0.032196044921875,
0.0648193359375,
-0.03363037109375,
-0.0031833648681640625,
-0.0335693359375,
-0.0821533203125,
-0.012451171875,
0.061248779296875,
0.000015616416931152344,
0.0086517333984375,
0.033599853515625,
0.052093505859375,
-0.0019893646240234375,
0.0069732666015625,
0.02685546875,
0.00580596923828125,
0.0182952880859375,
0.0260162353515625,
0.03277587890625,
-0.0675048828125,
0.033843994140625,
-0.041290283203125,
-0.004405975341796875,
-0.01320648193359375,
-0.062103271484375,
-0.093017578125,
-0.038665771484375,
-0.037689208984375,
-0.039306640625,
0.00641632080078125,
0.07452392578125,
0.07452392578125,
-0.057403564453125,
-0.0191192626953125,
-0.00516510009765625,
-0.0188751220703125,
-0.02001953125,
-0.015716552734375,
0.03521728515625,
-0.0210113525390625,
-0.043792724609375,
-0.0011396408081054688,
-0.0231475830078125,
0.020721435546875,
-0.01435089111328125,
0.0007810592651367188,
-0.0182952880859375,
-0.002300262451171875,
0.0384521484375,
0.00312042236328125,
-0.0499267578125,
-0.0355224609375,
-0.015777587890625,
-0.006866455078125,
0.0006880760192871094,
0.016021728515625,
-0.0428466796875,
0.031768798828125,
0.0120391845703125,
0.03277587890625,
0.053070068359375,
-0.0205535888671875,
0.032196044921875,
-0.07452392578125,
0.0299530029296875,
0.0117034912109375,
0.034454345703125,
0.007633209228515625,
-0.0294342041015625,
0.036590576171875,
0.0194549560546875,
-0.039337158203125,
-0.054718017578125,
-0.0084686279296875,
-0.082763671875,
0.00016939640045166016,
0.08892822265625,
0.01393890380859375,
-0.0185394287109375,
0.0200958251953125,
-0.025848388671875,
0.03546142578125,
-0.03790283203125,
0.050872802734375,
0.054290771484375,
0.00988006591796875,
0.0009374618530273438,
-0.037872314453125,
0.034637451171875,
0.0213470458984375,
-0.0308685302734375,
-0.027313232421875,
0.0218353271484375,
0.032135009765625,
0.0011463165283203125,
0.016265869140625,
0.00475311279296875,
0.018341064453125,
-0.0159759521484375,
0.0311279296875,
-0.03082275390625,
-0.0253448486328125,
-0.013946533203125,
0.00445556640625,
-0.0098876953125,
-0.052032470703125
]
] |
gokuls/HBERTv1_48_L4_H128_A2 | 2023-10-02T23:41:57.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L4_H128_A2 | 0 | 2 | transformers | 2023-09-30T16:33:37 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L4_H128_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.15095120071697254
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L4_H128_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0110
- Accuracy: 0.1510
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 146
- eval_batch_size: 146
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.0309295654296875,
-0.04974365234375,
0.005832672119140625,
0.01151275634765625,
-0.032135009765625,
-0.0335693359375,
-0.0240325927734375,
-0.0276947021484375,
0.007236480712890625,
0.0155487060546875,
-0.04937744140625,
-0.03619384765625,
-0.04180908203125,
-0.01549530029296875,
-0.021514892578125,
0.10107421875,
0.0102081298828125,
0.030517578125,
-0.01084136962890625,
0.00771331787109375,
-0.0150146484375,
-0.05206298828125,
-0.06378173828125,
-0.05712890625,
0.03509521484375,
-0.0003743171691894531,
0.07183837890625,
0.0650634765625,
0.0517578125,
0.0164337158203125,
-0.03204345703125,
-0.01525115966796875,
-0.050537109375,
-0.0243072509765625,
0.00417327880859375,
-0.0252838134765625,
-0.05474853515625,
-0.0028076171875,
0.058563232421875,
0.021636962890625,
-0.025360107421875,
0.033599853515625,
0.0140533447265625,
0.032745361328125,
-0.032318115234375,
0.0266876220703125,
-0.038970947265625,
0.0233001708984375,
-0.01251220703125,
-0.01422882080078125,
-0.034576416015625,
-0.0081634521484375,
0.0123748779296875,
-0.038360595703125,
0.0439453125,
-0.00897979736328125,
0.10174560546875,
0.0268707275390625,
0.00917816162109375,
0.0090484619140625,
-0.0653076171875,
0.04058837890625,
-0.054595947265625,
0.0201873779296875,
0.0298919677734375,
0.046539306640625,
-0.00022017955780029297,
-0.05950927734375,
-0.035797119140625,
-0.00988006591796875,
0.003139495849609375,
0.019622802734375,
-0.0033721923828125,
0.00484466552734375,
0.051055908203125,
0.0237579345703125,
-0.032867431640625,
0.01265716552734375,
-0.041656494140625,
-0.0138092041015625,
0.047943115234375,
0.025970458984375,
-0.01171875,
-0.0171051025390625,
-0.032257080078125,
-0.027252197265625,
-0.028839111328125,
0.01513671875,
0.051300048828125,
0.0221099853515625,
-0.0275421142578125,
0.04034423828125,
-0.0005393028259277344,
0.061981201171875,
0.0013885498046875,
-0.00428009033203125,
0.040313720703125,
-0.00579071044921875,
-0.03515625,
-0.01396942138671875,
0.061676025390625,
0.031280517578125,
0.028564453125,
-0.0005025863647460938,
-0.024200439453125,
-0.0245819091796875,
0.041412353515625,
-0.058624267578125,
-0.03741455078125,
-0.00035881996154785156,
-0.05670166015625,
-0.041717529296875,
-0.003368377685546875,
-0.040863037109375,
0.00942230224609375,
-0.038299560546875,
0.041748046875,
-0.04638671875,
-0.00844573974609375,
-0.0017852783203125,
-0.0160980224609375,
0.0270538330078125,
0.0193023681640625,
-0.0635986328125,
0.0216522216796875,
0.0255279541015625,
0.0305633544921875,
0.016326904296875,
-0.03204345703125,
-0.00589752197265625,
0.0022258758544921875,
-0.0232086181640625,
0.033294677734375,
-0.0229644775390625,
-0.0277862548828125,
0.00013518333435058594,
0.005584716796875,
-0.0082855224609375,
-0.028350830078125,
0.07073974609375,
-0.0292816162109375,
0.0151824951171875,
-0.0204010009765625,
-0.05572509765625,
-0.00797271728515625,
0.01904296875,
-0.050048828125,
0.08807373046875,
0.0054931640625,
-0.04949951171875,
0.042755126953125,
-0.047821044921875,
-0.01219940185546875,
0.022735595703125,
-0.00725555419921875,
-0.06005859375,
0.0018405914306640625,
0.00783538818359375,
0.039947509765625,
-0.00646209716796875,
0.0302276611328125,
-0.034454345703125,
-0.044647216796875,
-0.00323486328125,
-0.037689208984375,
0.054901123046875,
0.0089569091796875,
-0.0208892822265625,
0.0206756591796875,
-0.0814208984375,
0.0224456787109375,
0.023956298828125,
-0.04351806640625,
0.0098419189453125,
-0.00102996826171875,
0.039093017578125,
0.0133819580078125,
0.0271759033203125,
-0.04498291015625,
0.00931549072265625,
-0.0229339599609375,
0.0118255615234375,
0.054168701171875,
-0.01251220703125,
-0.00571441650390625,
-0.029022216796875,
0.00539398193359375,
-0.0031890869140625,
0.043548583984375,
0.0211639404296875,
-0.042694091796875,
-0.061859130859375,
-0.026336669921875,
0.0287628173828125,
0.020355224609375,
-0.0308380126953125,
0.07275390625,
-0.0104522705078125,
-0.0679931640625,
-0.035797119140625,
0.010498046875,
0.03466796875,
0.045623779296875,
0.039459228515625,
-0.005130767822265625,
-0.0274810791015625,
-0.08416748046875,
0.005779266357421875,
-0.00567626953125,
0.0098876953125,
0.016632080078125,
0.04925537109375,
-0.0041961669921875,
0.060455322265625,
-0.028900146484375,
-0.006778717041015625,
-0.018524169921875,
0.003742218017578125,
0.032257080078125,
0.06512451171875,
0.055145263671875,
-0.035369873046875,
-0.0173797607421875,
-0.0244903564453125,
-0.06494140625,
0.03424072265625,
-0.0086517333984375,
-0.026885986328125,
-0.00942230224609375,
0.016204833984375,
-0.033599853515625,
0.054351806640625,
0.0134429931640625,
-0.00698089599609375,
0.049957275390625,
-0.05047607421875,
-0.0245819091796875,
-0.0675048828125,
0.019012451171875,
0.01776123046875,
0.0017719268798828125,
-0.02392578125,
0.00806427001953125,
0.0146331787109375,
-0.0180511474609375,
-0.03314208984375,
0.036590576171875,
0.003116607666015625,
0.0037059783935546875,
-0.01422882080078125,
-0.0313720703125,
-0.007568359375,
0.058807373046875,
0.0202484130859375,
0.034271240234375,
0.049468994140625,
-0.051055908203125,
0.040313720703125,
0.04278564453125,
-0.0303802490234375,
0.030303955078125,
-0.0792236328125,
0.00926971435546875,
-0.00904083251953125,
0.007541656494140625,
-0.057037353515625,
-0.0219268798828125,
0.04058837890625,
-0.035308837890625,
0.023162841796875,
-0.007068634033203125,
-0.0478515625,
-0.045013427734375,
-0.007755279541015625,
0.01369476318359375,
0.049468994140625,
-0.061309814453125,
0.03399658203125,
-0.01169586181640625,
0.0230560302734375,
-0.04010009765625,
-0.049346923828125,
-0.022216796875,
0.0031147003173828125,
-0.0293426513671875,
0.0211181640625,
-0.0212860107421875,
0.022857666015625,
0.007724761962890625,
0.01227569580078125,
-0.0205841064453125,
-0.004497528076171875,
0.020294189453125,
0.038238525390625,
-0.0034999847412109375,
0.0160980224609375,
0.0010900497436523438,
-0.002590179443359375,
0.021942138671875,
0.01230621337890625,
0.037445068359375,
-0.005329132080078125,
-0.0206146240234375,
-0.057464599609375,
-0.00888824462890625,
0.0298309326171875,
-0.0107421875,
0.066162109375,
0.06866455078125,
-0.043243408203125,
0.002704620361328125,
-0.027862548828125,
-0.0030078887939453125,
-0.0307159423828125,
0.035919189453125,
-0.037811279296875,
-0.0082855224609375,
0.042022705078125,
0.0231781005859375,
0.01528167724609375,
0.06512451171875,
0.04949951171875,
-0.00603485107421875,
0.08319091796875,
0.02734375,
-0.01065826416015625,
0.03204345703125,
-0.049224853515625,
-0.01027679443359375,
-0.056915283203125,
-0.033782958984375,
-0.040557861328125,
-0.0260772705078125,
-0.041748046875,
0.0024089813232421875,
0.01338958740234375,
0.00807952880859375,
-0.0400390625,
0.023773193359375,
-0.044342041015625,
0.031280517578125,
0.059326171875,
0.045928955078125,
-0.019989013671875,
0.01477813720703125,
-0.01406097412109375,
-0.004062652587890625,
-0.06634521484375,
-0.033111572265625,
0.1024169921875,
0.043792724609375,
0.052978515625,
-0.01215362548828125,
0.055023193359375,
0.00704193115234375,
0.01363372802734375,
-0.035186767578125,
0.037139892578125,
0.0018138885498046875,
-0.0704345703125,
-0.0274658203125,
-0.0171966552734375,
-0.052154541015625,
0.00847625732421875,
-0.041778564453125,
-0.039520263671875,
0.0031585693359375,
0.020111083984375,
-0.0299224853515625,
0.0302276611328125,
-0.042236328125,
0.08306884765625,
-0.0235443115234375,
-0.036407470703125,
-0.022064208984375,
-0.048583984375,
0.00832366943359375,
0.00469970703125,
-0.0298614501953125,
0.0005774497985839844,
0.0254669189453125,
0.0771484375,
-0.040191650390625,
0.053985595703125,
-0.036468505859375,
0.0218505859375,
0.0275421142578125,
-0.03515625,
0.03912353515625,
0.004154205322265625,
-0.023040771484375,
0.0161590576171875,
-0.005802154541015625,
-0.053131103515625,
-0.0244903564453125,
0.04791259765625,
-0.0948486328125,
-0.003543853759765625,
-0.03240966796875,
-0.037689208984375,
-0.005229949951171875,
0.00983428955078125,
0.044586181640625,
0.051239013671875,
-0.0244903564453125,
0.0143280029296875,
0.041015625,
-0.006229400634765625,
0.03790283203125,
0.01453399658203125,
0.001495361328125,
-0.0311737060546875,
0.06610107421875,
-0.00566864013671875,
0.005184173583984375,
-0.00872802734375,
0.0089569091796875,
-0.032073974609375,
-0.038421630859375,
-0.042144775390625,
0.021240234375,
-0.05767822265625,
-0.00988006591796875,
-0.018798828125,
-0.04498291015625,
-0.0240936279296875,
0.00872039794921875,
-0.028411865234375,
-0.0037841796875,
-0.039276123046875,
-0.0097808837890625,
0.0164031982421875,
0.04443359375,
-0.004764556884765625,
0.05511474609375,
-0.047210693359375,
0.004940032958984375,
0.0123443603515625,
0.04010009765625,
0.00933074951171875,
-0.05889892578125,
-0.04010009765625,
0.00534820556640625,
-0.023284912109375,
-0.032012939453125,
0.0295562744140625,
0.0147705078125,
0.057373046875,
0.034515380859375,
-0.01461029052734375,
0.0635986328125,
-0.032196044921875,
0.055877685546875,
0.0217132568359375,
-0.04071044921875,
0.0291290283203125,
-0.019195556640625,
0.0255889892578125,
0.041748046875,
0.04132080078125,
0.0092315673828125,
-0.01123809814453125,
-0.0948486328125,
-0.05108642578125,
0.061309814453125,
0.0260162353515625,
0.0217132568359375,
0.004993438720703125,
0.03851318359375,
0.0033397674560546875,
0.016571044921875,
-0.058258056640625,
-0.033782958984375,
-0.0240936279296875,
-0.01181793212890625,
-0.01264190673828125,
-0.032562255859375,
-0.0140228271484375,
-0.054901123046875,
0.0836181640625,
0.005748748779296875,
0.04095458984375,
0.007720947265625,
0.0082855224609375,
-0.0188751220703125,
-0.0089874267578125,
0.040191650390625,
0.054779052734375,
-0.060943603515625,
-0.0292816162109375,
0.003406524658203125,
-0.03326416015625,
-0.0157623291015625,
0.0248565673828125,
-0.01161956787109375,
0.0233306884765625,
0.028045654296875,
0.08477783203125,
0.004093170166015625,
-0.01593017578125,
0.027923583984375,
-0.0122222900390625,
-0.0302276611328125,
-0.032745361328125,
0.01557159423828125,
-0.01105499267578125,
0.0084075927734375,
0.00943756103515625,
0.0274505615234375,
-0.00704193115234375,
-0.005401611328125,
0.0112762451171875,
0.01291656494140625,
-0.0283050537109375,
-0.0200653076171875,
0.05572509765625,
0.0187530517578125,
-0.0203857421875,
0.067138671875,
-0.006366729736328125,
-0.015655517578125,
0.05426025390625,
0.038665771484375,
0.059600830078125,
-0.005718231201171875,
-0.0005812644958496094,
0.0640869140625,
0.0097808837890625,
-0.01016998291015625,
0.032379150390625,
0.0008292198181152344,
-0.048126220703125,
-0.0243988037109375,
-0.051513671875,
-0.0291290283203125,
0.04168701171875,
-0.08831787109375,
0.02783203125,
-0.048858642578125,
-0.028839111328125,
0.0292205810546875,
-0.003887176513671875,
-0.0792236328125,
0.046783447265625,
0.0184326171875,
0.0865478515625,
-0.0657958984375,
0.0760498046875,
0.051300048828125,
-0.03887939453125,
-0.06390380859375,
-0.01097869873046875,
-0.0296173095703125,
-0.07281494140625,
0.06036376953125,
-0.0036182403564453125,
0.0291748046875,
0.006542205810546875,
-0.053192138671875,
-0.047027587890625,
0.055206298828125,
0.016998291015625,
-0.057281494140625,
-0.0052490234375,
0.006137847900390625,
0.0595703125,
-0.01470184326171875,
0.04547119140625,
0.0187225341796875,
0.0208740234375,
0.0125579833984375,
-0.06658935546875,
-0.0256805419921875,
-0.0274658203125,
0.01470947265625,
0.006504058837890625,
-0.038177490234375,
0.06732177734375,
0.0000029802322387695312,
0.036895751953125,
0.020050048828125,
0.05108642578125,
0.00392913818359375,
0.0008378028869628906,
0.0254058837890625,
0.06549072265625,
0.045745849609375,
-0.00693511962890625,
0.08428955078125,
-0.045562744140625,
0.05560302734375,
0.09100341796875,
-0.0038928985595703125,
0.05596923828125,
0.021240234375,
-0.0159149169921875,
0.0206146240234375,
0.060455322265625,
-0.04229736328125,
0.041778564453125,
0.0227203369140625,
0.0011568069458007812,
-0.03631591796875,
0.019195556640625,
-0.048431396484375,
0.0255584716796875,
0.002651214599609375,
-0.05487060546875,
-0.0280914306640625,
-0.01324462890625,
-0.0103607177734375,
-0.01410675048828125,
-0.0296173095703125,
0.0340576171875,
-0.03790283203125,
-0.031768798828125,
0.056640625,
0.003116607666015625,
0.026580810546875,
-0.056243896484375,
-0.0013589859008789062,
0.00821685791015625,
0.03448486328125,
-0.01149749755859375,
-0.047149658203125,
0.01515960693359375,
-0.0011644363403320312,
-0.0184783935546875,
-0.0032711029052734375,
0.04693603515625,
-0.023162841796875,
-0.06207275390625,
0.0134124755859375,
0.03143310546875,
0.0292816162109375,
0.00823211669921875,
-0.08856201171875,
0.0005259513854980469,
-0.00710296630859375,
-0.027679443359375,
0.019439697265625,
0.00791168212890625,
0.0187835693359375,
0.0335693359375,
0.04290771484375,
-0.0000017285346984863281,
0.0030155181884765625,
0.018524169921875,
0.07110595703125,
-0.043792724609375,
-0.03265380859375,
-0.055877685546875,
0.0282745361328125,
-0.02099609375,
-0.061431884765625,
0.039642333984375,
0.06903076171875,
0.0770263671875,
-0.026214599609375,
0.047515869140625,
-0.00185394287109375,
0.034454345703125,
-0.0272369384765625,
0.052703857421875,
-0.0285186767578125,
-0.01435089111328125,
-0.0179595947265625,
-0.06158447265625,
0.002857208251953125,
0.061859130859375,
-0.017974853515625,
0.010986328125,
0.029693603515625,
0.042755126953125,
0.0004112720489501953,
0.01117706298828125,
0.021514892578125,
-0.005767822265625,
0.0162811279296875,
0.0289459228515625,
0.034332275390625,
-0.057586669921875,
0.032257080078125,
-0.048431396484375,
-0.00804901123046875,
-0.0102386474609375,
-0.04901123046875,
-0.0777587890625,
-0.0217437744140625,
-0.037261962890625,
-0.038909912109375,
0.0170135498046875,
0.07476806640625,
0.057891845703125,
-0.045654296875,
-0.031402587890625,
0.00400543212890625,
-0.0246734619140625,
-0.0309295654296875,
-0.0128631591796875,
0.03875732421875,
-0.032928466796875,
-0.055755615234375,
-0.003818511962890625,
-0.0276336669921875,
0.0181732177734375,
-0.01003265380859375,
-0.0234832763671875,
-0.0218658447265625,
-0.025726318359375,
0.016448974609375,
0.002979278564453125,
-0.036163330078125,
-0.028900146484375,
-0.018157958984375,
-0.0111541748046875,
0.0172576904296875,
0.017303466796875,
-0.046661376953125,
0.041656494140625,
0.01361846923828125,
0.0295562744140625,
0.05499267578125,
-0.007343292236328125,
0.0228729248046875,
-0.052734375,
0.0216217041015625,
0.0139007568359375,
0.028564453125,
0.00508880615234375,
-0.022308349609375,
0.039306640625,
0.030792236328125,
-0.039398193359375,
-0.048583984375,
-0.019439697265625,
-0.07830810546875,
0.006557464599609375,
0.07489013671875,
-0.00897979736328125,
-0.040802001953125,
0.0309906005859375,
-0.01535797119140625,
0.03314208984375,
-0.0228118896484375,
0.041656494140625,
0.058563232421875,
-0.00916290283203125,
0.01282501220703125,
-0.0340576171875,
0.032257080078125,
0.028167724609375,
-0.046600341796875,
-0.0140533447265625,
0.023651123046875,
0.0262298583984375,
0.004299163818359375,
0.0206298828125,
0.0001646280288696289,
0.03155517578125,
-0.0007328987121582031,
0.042388916015625,
-0.0261688232421875,
-0.022430419921875,
-0.0216217041015625,
0.00698089599609375,
0.00911712646484375,
-0.042510986328125
]
] |
gokuls/HBERTv1_48_L4_H256_A4 | 2023-10-02T23:44:30.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L4_H256_A4 | 0 | 2 | transformers | 2023-09-30T16:33:51 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L4_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.17036227504400445
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L4_H256_A4
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6004
- Accuracy: 0.1704
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 124
- eval_batch_size: 124
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.031005859375,
-0.049652099609375,
0.005954742431640625,
0.012115478515625,
-0.031585693359375,
-0.033660888671875,
-0.0242767333984375,
-0.0279998779296875,
0.007167816162109375,
0.015960693359375,
-0.05010986328125,
-0.036376953125,
-0.0426025390625,
-0.015899658203125,
-0.0222930908203125,
0.101806640625,
0.01012420654296875,
0.0293426513671875,
-0.0092620849609375,
0.006969451904296875,
-0.0147247314453125,
-0.05267333984375,
-0.0634765625,
-0.05548095703125,
0.03558349609375,
0.0005116462707519531,
0.07135009765625,
0.06353759765625,
0.0521240234375,
0.01739501953125,
-0.03155517578125,
-0.01480865478515625,
-0.050048828125,
-0.0244598388671875,
0.005809783935546875,
-0.02703857421875,
-0.05499267578125,
-0.0019474029541015625,
0.05902099609375,
0.0228729248046875,
-0.0247955322265625,
0.032562255859375,
0.01374053955078125,
0.032745361328125,
-0.033660888671875,
0.0255889892578125,
-0.03924560546875,
0.0241851806640625,
-0.0124969482421875,
-0.01378631591796875,
-0.0350341796875,
-0.0094146728515625,
0.0131378173828125,
-0.0389404296875,
0.04510498046875,
-0.0084991455078125,
0.10211181640625,
0.027587890625,
0.0109710693359375,
0.00800323486328125,
-0.0640869140625,
0.041839599609375,
-0.054901123046875,
0.01953125,
0.0298309326171875,
0.04534912109375,
-0.000042319297790527344,
-0.059814453125,
-0.034820556640625,
-0.008453369140625,
0.003353118896484375,
0.019500732421875,
-0.003582000732421875,
0.005001068115234375,
0.05059814453125,
0.0238037109375,
-0.0330810546875,
0.012725830078125,
-0.04156494140625,
-0.01497650146484375,
0.046661376953125,
0.0247802734375,
-0.01219940185546875,
-0.016876220703125,
-0.03167724609375,
-0.027374267578125,
-0.0301666259765625,
0.01416778564453125,
0.05096435546875,
0.0218048095703125,
-0.0259857177734375,
0.03985595703125,
0.0005922317504882812,
0.06201171875,
0.0019330978393554688,
-0.00445556640625,
0.0401611328125,
-0.00766754150390625,
-0.034515380859375,
-0.0128173828125,
0.0616455078125,
0.030975341796875,
0.0279998779296875,
-0.0010023117065429688,
-0.0238494873046875,
-0.0245819091796875,
0.04156494140625,
-0.05877685546875,
-0.03765869140625,
-0.00039386749267578125,
-0.056793212890625,
-0.042266845703125,
-0.00414276123046875,
-0.039764404296875,
0.00890350341796875,
-0.03680419921875,
0.041961669921875,
-0.047607421875,
-0.0078887939453125,
-0.0032596588134765625,
-0.017578125,
0.026885986328125,
0.0197296142578125,
-0.0640869140625,
0.0211181640625,
0.0252685546875,
0.030242919921875,
0.017364501953125,
-0.0322265625,
-0.00591278076171875,
0.0017461776733398438,
-0.024169921875,
0.033477783203125,
-0.0218048095703125,
-0.0274200439453125,
-0.00009882450103759766,
0.00399017333984375,
-0.007274627685546875,
-0.0287933349609375,
0.071533203125,
-0.028900146484375,
0.01488494873046875,
-0.0219573974609375,
-0.055877685546875,
-0.008270263671875,
0.01837158203125,
-0.050140380859375,
0.0882568359375,
0.00559234619140625,
-0.04962158203125,
0.043975830078125,
-0.04736328125,
-0.01210784912109375,
0.02252197265625,
-0.005962371826171875,
-0.060394287109375,
0.0021266937255859375,
0.00897216796875,
0.0389404296875,
-0.005321502685546875,
0.0290985107421875,
-0.03411865234375,
-0.044891357421875,
-0.003269195556640625,
-0.03790283203125,
0.05511474609375,
0.0087127685546875,
-0.020660400390625,
0.0211181640625,
-0.08087158203125,
0.0231170654296875,
0.0222930908203125,
-0.04248046875,
0.0087432861328125,
-0.00048828125,
0.038726806640625,
0.01308441162109375,
0.0273284912109375,
-0.04473876953125,
0.00983428955078125,
-0.0241546630859375,
0.01239776611328125,
0.054229736328125,
-0.0127105712890625,
-0.005767822265625,
-0.028472900390625,
0.004375457763671875,
-0.002590179443359375,
0.043914794921875,
0.021697998046875,
-0.042816162109375,
-0.06298828125,
-0.0260009765625,
0.029510498046875,
0.0187225341796875,
-0.0302886962890625,
0.07293701171875,
-0.0099334716796875,
-0.06707763671875,
-0.037750244140625,
0.00997161865234375,
0.03436279296875,
0.0452880859375,
0.0396728515625,
-0.005443572998046875,
-0.0288543701171875,
-0.0845947265625,
0.00617218017578125,
-0.0052947998046875,
0.0088958740234375,
0.01552581787109375,
0.050048828125,
-0.004352569580078125,
0.0604248046875,
-0.0287933349609375,
-0.00852203369140625,
-0.0182037353515625,
0.004364013671875,
0.03179931640625,
0.06451416015625,
0.05523681640625,
-0.035797119140625,
-0.0173492431640625,
-0.0258636474609375,
-0.0654296875,
0.034423828125,
-0.007598876953125,
-0.0260772705078125,
-0.006866455078125,
0.0153656005859375,
-0.032867431640625,
0.05450439453125,
0.01357269287109375,
-0.00662994384765625,
0.050445556640625,
-0.051025390625,
-0.0243377685546875,
-0.0667724609375,
0.0181884765625,
0.01702880859375,
0.0026760101318359375,
-0.02423095703125,
0.007541656494140625,
0.0159149169921875,
-0.0164947509765625,
-0.03289794921875,
0.03509521484375,
0.00241851806640625,
0.002933502197265625,
-0.013427734375,
-0.0305023193359375,
-0.0079345703125,
0.058685302734375,
0.019866943359375,
0.03558349609375,
0.048614501953125,
-0.050750732421875,
0.03924560546875,
0.04376220703125,
-0.0299224853515625,
0.030029296875,
-0.07794189453125,
0.00847625732421875,
-0.00879669189453125,
0.00870513916015625,
-0.0572509765625,
-0.0212249755859375,
0.040130615234375,
-0.036224365234375,
0.022125244140625,
-0.00666046142578125,
-0.048187255859375,
-0.04437255859375,
-0.009765625,
0.0135345458984375,
0.0494384765625,
-0.06182861328125,
0.032989501953125,
-0.01120758056640625,
0.022125244140625,
-0.041595458984375,
-0.0504150390625,
-0.0207672119140625,
0.00357818603515625,
-0.029510498046875,
0.021575927734375,
-0.0213623046875,
0.0235748291015625,
0.00870513916015625,
0.011627197265625,
-0.0203704833984375,
-0.004848480224609375,
0.0197296142578125,
0.0369873046875,
-0.0026569366455078125,
0.0167999267578125,
-0.00001341104507446289,
-0.0014219284057617188,
0.02154541015625,
0.01192474365234375,
0.0367431640625,
-0.006000518798828125,
-0.0192718505859375,
-0.056396484375,
-0.00830078125,
0.0294189453125,
-0.01099395751953125,
0.06640625,
0.0692138671875,
-0.04302978515625,
0.0022678375244140625,
-0.0283203125,
-0.0031566619873046875,
-0.0312042236328125,
0.035614013671875,
-0.03778076171875,
-0.00836944580078125,
0.042816162109375,
0.0241546630859375,
0.0163726806640625,
0.06610107421875,
0.04925537109375,
-0.00670623779296875,
0.0831298828125,
0.026947021484375,
-0.0111236572265625,
0.032257080078125,
-0.04962158203125,
-0.00970458984375,
-0.057586669921875,
-0.03326416015625,
-0.04010009765625,
-0.02685546875,
-0.0426025390625,
0.0033931732177734375,
0.01409912109375,
0.007610321044921875,
-0.03924560546875,
0.0238494873046875,
-0.044464111328125,
0.029449462890625,
0.06060791015625,
0.044830322265625,
-0.020111083984375,
0.01413726806640625,
-0.01439666748046875,
-0.0045318603515625,
-0.0670166015625,
-0.031646728515625,
0.1038818359375,
0.044342041015625,
0.05303955078125,
-0.01068878173828125,
0.05560302734375,
0.00707244873046875,
0.01421356201171875,
-0.036163330078125,
0.03802490234375,
0.0017194747924804688,
-0.0701904296875,
-0.0283966064453125,
-0.01824951171875,
-0.05316162109375,
0.00907135009765625,
-0.041656494140625,
-0.039398193359375,
0.0036602020263671875,
0.0199737548828125,
-0.0295257568359375,
0.030303955078125,
-0.041778564453125,
0.0816650390625,
-0.022552490234375,
-0.03558349609375,
-0.0217742919921875,
-0.04925537109375,
0.00803375244140625,
0.004283905029296875,
-0.0292816162109375,
0.0010480880737304688,
0.0243072509765625,
0.07794189453125,
-0.04150390625,
0.05413818359375,
-0.0355224609375,
0.0214080810546875,
0.027252197265625,
-0.03619384765625,
0.039215087890625,
0.0028667449951171875,
-0.0225067138671875,
0.0162200927734375,
-0.005542755126953125,
-0.052490234375,
-0.0240631103515625,
0.048675537109375,
-0.094970703125,
-0.0032806396484375,
-0.03338623046875,
-0.03778076171875,
-0.005279541015625,
0.0102691650390625,
0.04541015625,
0.0523681640625,
-0.0245361328125,
0.01538848876953125,
0.041595458984375,
-0.00672149658203125,
0.038970947265625,
0.01436614990234375,
0.0033168792724609375,
-0.031890869140625,
0.066162109375,
-0.00414276123046875,
0.005298614501953125,
-0.0089111328125,
0.00809478759765625,
-0.032440185546875,
-0.039337158203125,
-0.04144287109375,
0.021881103515625,
-0.058074951171875,
-0.00955963134765625,
-0.01837158203125,
-0.045440673828125,
-0.0243988037109375,
0.0092926025390625,
-0.027984619140625,
-0.00484466552734375,
-0.0391845703125,
-0.0092010498046875,
0.016143798828125,
0.043853759765625,
-0.005462646484375,
0.0540771484375,
-0.04766845703125,
0.0037937164306640625,
0.01152801513671875,
0.040802001953125,
0.00922393798828125,
-0.057586669921875,
-0.039642333984375,
0.005847930908203125,
-0.0235137939453125,
-0.03289794921875,
0.030670166015625,
0.0155792236328125,
0.056793212890625,
0.034088134765625,
-0.01299285888671875,
0.06365966796875,
-0.0330810546875,
0.056854248046875,
0.0220489501953125,
-0.040496826171875,
0.029449462890625,
-0.017974853515625,
0.0258026123046875,
0.041961669921875,
0.040252685546875,
0.00914764404296875,
-0.0124053955078125,
-0.0948486328125,
-0.051544189453125,
0.06134033203125,
0.02740478515625,
0.0204010009765625,
0.00490570068359375,
0.038360595703125,
0.002704620361328125,
0.01641845703125,
-0.05780029296875,
-0.03466796875,
-0.0238189697265625,
-0.01232147216796875,
-0.01296234130859375,
-0.0328369140625,
-0.01419830322265625,
-0.0548095703125,
0.08331298828125,
0.006378173828125,
0.041412353515625,
0.0080108642578125,
0.00791168212890625,
-0.0188140869140625,
-0.00786590576171875,
0.040618896484375,
0.0545654296875,
-0.061614990234375,
-0.029449462890625,
0.004123687744140625,
-0.033538818359375,
-0.0156097412109375,
0.0244293212890625,
-0.011566162109375,
0.023712158203125,
0.02783203125,
0.08404541015625,
0.004535675048828125,
-0.0155792236328125,
0.02789306640625,
-0.0128021240234375,
-0.03125,
-0.03387451171875,
0.0149993896484375,
-0.01171112060546875,
0.00739288330078125,
0.010284423828125,
0.0274200439453125,
-0.00531005859375,
-0.006023406982421875,
0.01146697998046875,
0.01325225830078125,
-0.02862548828125,
-0.01934814453125,
0.05499267578125,
0.0200042724609375,
-0.0189208984375,
0.06683349609375,
-0.00585174560546875,
-0.0164947509765625,
0.05328369140625,
0.037841796875,
0.05902099609375,
-0.00476837158203125,
-0.00119781494140625,
0.0634765625,
0.0101470947265625,
-0.01041412353515625,
0.031158447265625,
0.0011167526245117188,
-0.048248291015625,
-0.0250701904296875,
-0.051788330078125,
-0.030303955078125,
0.0423583984375,
-0.0875244140625,
0.0266571044921875,
-0.048095703125,
-0.029571533203125,
0.0303955078125,
-0.002899169921875,
-0.07855224609375,
0.046844482421875,
0.017181396484375,
0.085205078125,
-0.064697265625,
0.0748291015625,
0.051605224609375,
-0.039093017578125,
-0.06317138671875,
-0.010589599609375,
-0.0299530029296875,
-0.07183837890625,
0.060333251953125,
-0.004177093505859375,
0.029510498046875,
0.006107330322265625,
-0.052490234375,
-0.0477294921875,
0.0540771484375,
0.0156097412109375,
-0.056243896484375,
-0.00579071044921875,
0.006072998046875,
0.05889892578125,
-0.0131988525390625,
0.04437255859375,
0.0195465087890625,
0.0213775634765625,
0.01203155517578125,
-0.06719970703125,
-0.025238037109375,
-0.0265045166015625,
0.01401519775390625,
0.007625579833984375,
-0.03765869140625,
0.0677490234375,
-0.00003236532211303711,
0.037628173828125,
0.020599365234375,
0.05029296875,
0.0037384033203125,
-0.0008373260498046875,
0.02520751953125,
0.0660400390625,
0.0457763671875,
-0.00811004638671875,
0.0841064453125,
-0.044647216796875,
0.055450439453125,
0.090576171875,
-0.0021820068359375,
0.056396484375,
0.0213775634765625,
-0.0164642333984375,
0.02044677734375,
0.06134033203125,
-0.04205322265625,
0.04205322265625,
0.0229949951171875,
0.0004508495330810547,
-0.035430908203125,
0.019287109375,
-0.048736572265625,
0.0249786376953125,
0.00399017333984375,
-0.0548095703125,
-0.0281829833984375,
-0.01393890380859375,
-0.0103607177734375,
-0.01509857177734375,
-0.02972412109375,
0.034423828125,
-0.038055419921875,
-0.032562255859375,
0.05706787109375,
0.0030670166015625,
0.0278167724609375,
-0.05615234375,
-0.001697540283203125,
0.00807952880859375,
0.03515625,
-0.01157379150390625,
-0.04754638671875,
0.01517486572265625,
-0.0018787384033203125,
-0.01788330078125,
-0.0035190582275390625,
0.047027587890625,
-0.0234222412109375,
-0.0616455078125,
0.01239013671875,
0.0302886962890625,
0.0296783447265625,
0.00823211669921875,
-0.08758544921875,
0.0009202957153320312,
-0.00714111328125,
-0.0272674560546875,
0.0193023681640625,
0.00789642333984375,
0.01800537109375,
0.03387451171875,
0.042266845703125,
0.0004417896270751953,
0.002689361572265625,
0.0187835693359375,
0.07098388671875,
-0.04376220703125,
-0.032562255859375,
-0.054718017578125,
0.02691650390625,
-0.0211639404296875,
-0.06134033203125,
0.039703369140625,
0.0675048828125,
0.0760498046875,
-0.02569580078125,
0.049163818359375,
-0.002193450927734375,
0.03472900390625,
-0.02642822265625,
0.05316162109375,
-0.029052734375,
-0.0138092041015625,
-0.0181121826171875,
-0.061370849609375,
0.0020885467529296875,
0.062103271484375,
-0.017547607421875,
0.0109405517578125,
0.0301055908203125,
0.04168701171875,
0.0014142990112304688,
0.01068878173828125,
0.0216522216796875,
-0.00511932373046875,
0.01666259765625,
0.0297698974609375,
0.0340576171875,
-0.05841064453125,
0.03375244140625,
-0.0478515625,
-0.00830078125,
-0.0115203857421875,
-0.04931640625,
-0.07666015625,
-0.02130126953125,
-0.0369873046875,
-0.03851318359375,
0.0169677734375,
0.07373046875,
0.05712890625,
-0.0462646484375,
-0.0305023193359375,
0.004062652587890625,
-0.02447509765625,
-0.03125,
-0.01232147216796875,
0.0396728515625,
-0.0340576171875,
-0.05584716796875,
-0.004192352294921875,
-0.027984619140625,
0.0172576904296875,
-0.0101776123046875,
-0.023040771484375,
-0.0219573974609375,
-0.02606201171875,
0.017120361328125,
0.002330780029296875,
-0.038360595703125,
-0.0301971435546875,
-0.018218994140625,
-0.010711669921875,
0.01641845703125,
0.0153656005859375,
-0.0469970703125,
0.04156494140625,
0.0135498046875,
0.0286712646484375,
0.055206298828125,
-0.0083160400390625,
0.0240020751953125,
-0.054718017578125,
0.0209197998046875,
0.0139312744140625,
0.0287322998046875,
0.005123138427734375,
-0.0218505859375,
0.040252685546875,
0.03033447265625,
-0.0391845703125,
-0.047637939453125,
-0.020172119140625,
-0.0780029296875,
0.0061492919921875,
0.07489013671875,
-0.00926971435546875,
-0.039642333984375,
0.0307769775390625,
-0.016021728515625,
0.032745361328125,
-0.023284912109375,
0.04132080078125,
0.0601806640625,
-0.00951385498046875,
0.01210784912109375,
-0.03375244140625,
0.033416748046875,
0.0287933349609375,
-0.045562744140625,
-0.01393890380859375,
0.0242156982421875,
0.0270538330078125,
0.005458831787109375,
0.02099609375,
-0.0008144378662109375,
0.031829833984375,
-0.0007786750793457031,
0.04327392578125,
-0.026031494140625,
-0.022125244140625,
-0.02032470703125,
0.0074920654296875,
0.0098114013671875,
-0.0426025390625
]
] |
gokuls/HBERTv1_48_L4_H512_A8 | 2023-10-02T23:48:14.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L4_H512_A8 | 0 | 2 | transformers | 2023-09-30T16:33:53 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L4_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.4312818008502973
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L4_H512_A8
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2895
- Accuracy: 0.4313
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 110
- eval_batch_size: 110
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,589 | [
[
-0.0301666259765625,
-0.0496826171875,
0.006103515625,
0.01160430908203125,
-0.03271484375,
-0.03289794921875,
-0.0242919921875,
-0.0273284912109375,
0.006443023681640625,
0.01509857177734375,
-0.049407958984375,
-0.0369873046875,
-0.04205322265625,
-0.01580810546875,
-0.0215301513671875,
0.10028076171875,
0.00960540771484375,
0.0306854248046875,
-0.01009368896484375,
0.00757598876953125,
-0.01479339599609375,
-0.052276611328125,
-0.06396484375,
-0.056396484375,
0.035003662109375,
0.00011557340621948242,
0.072021484375,
0.06512451171875,
0.05169677734375,
0.016021728515625,
-0.03228759765625,
-0.0149078369140625,
-0.049285888671875,
-0.0248260498046875,
0.0048980712890625,
-0.0271453857421875,
-0.0548095703125,
-0.002593994140625,
0.05841064453125,
0.0211639404296875,
-0.025848388671875,
0.032989501953125,
0.01363372802734375,
0.03271484375,
-0.032989501953125,
0.026641845703125,
-0.0384521484375,
0.02410888671875,
-0.01294708251953125,
-0.01441192626953125,
-0.035308837890625,
-0.009429931640625,
0.01255035400390625,
-0.03912353515625,
0.044677734375,
-0.00867462158203125,
0.1025390625,
0.0269775390625,
0.0095367431640625,
0.00807952880859375,
-0.0653076171875,
0.040771484375,
-0.054931640625,
0.0198974609375,
0.029510498046875,
0.046661376953125,
-0.00011646747589111328,
-0.05877685546875,
-0.035797119140625,
-0.00991058349609375,
0.003787994384765625,
0.0191802978515625,
-0.0037403106689453125,
0.0054168701171875,
0.051239013671875,
0.0235748291015625,
-0.0322265625,
0.01349639892578125,
-0.041351318359375,
-0.0141448974609375,
0.04736328125,
0.025421142578125,
-0.01166534423828125,
-0.0164642333984375,
-0.03216552734375,
-0.028228759765625,
-0.0304412841796875,
0.01513671875,
0.0517578125,
0.021209716796875,
-0.0274505615234375,
0.040130615234375,
0.00011628866195678711,
0.06207275390625,
0.0016889572143554688,
-0.004711151123046875,
0.040618896484375,
-0.005767822265625,
-0.03448486328125,
-0.0132598876953125,
0.061981201171875,
0.031036376953125,
0.028778076171875,
0.00003552436828613281,
-0.023193359375,
-0.025299072265625,
0.04180908203125,
-0.057647705078125,
-0.0379638671875,
-0.00039887428283691406,
-0.056854248046875,
-0.04254150390625,
-0.00331878662109375,
-0.039581298828125,
0.009521484375,
-0.037384033203125,
0.04150390625,
-0.0467529296875,
-0.00820159912109375,
-0.00275421142578125,
-0.0163421630859375,
0.0267333984375,
0.02032470703125,
-0.0634765625,
0.0207061767578125,
0.025146484375,
0.0311279296875,
0.0168914794921875,
-0.03289794921875,
-0.005390167236328125,
0.002780914306640625,
-0.02447509765625,
0.033538818359375,
-0.0221405029296875,
-0.0272216796875,
0.00001710653305053711,
0.00492095947265625,
-0.008056640625,
-0.0288238525390625,
0.0706787109375,
-0.029510498046875,
0.01482391357421875,
-0.02056884765625,
-0.055694580078125,
-0.0086212158203125,
0.0181121826171875,
-0.049713134765625,
0.08782958984375,
0.0054168701171875,
-0.04931640625,
0.043731689453125,
-0.04791259765625,
-0.01204681396484375,
0.0224761962890625,
-0.006103515625,
-0.06011962890625,
0.002349853515625,
0.008575439453125,
0.0399169921875,
-0.005523681640625,
0.0295867919921875,
-0.034820556640625,
-0.04498291015625,
-0.0029468536376953125,
-0.03765869140625,
0.055694580078125,
0.00814056396484375,
-0.0212860107421875,
0.0207672119140625,
-0.08087158203125,
0.0222930908203125,
0.023345947265625,
-0.04241943359375,
0.00983428955078125,
-0.0008211135864257812,
0.038360595703125,
0.01299285888671875,
0.0263671875,
-0.044921875,
0.00921630859375,
-0.02362060546875,
0.01145172119140625,
0.05450439453125,
-0.0130157470703125,
-0.005756378173828125,
-0.0286865234375,
0.0056304931640625,
-0.0032634735107421875,
0.04345703125,
0.0216827392578125,
-0.043121337890625,
-0.06268310546875,
-0.025421142578125,
0.029052734375,
0.0208282470703125,
-0.030364990234375,
0.07330322265625,
-0.00998687744140625,
-0.06817626953125,
-0.03619384765625,
0.0100250244140625,
0.034759521484375,
0.0455322265625,
0.039459228515625,
-0.005443572998046875,
-0.0274810791015625,
-0.0841064453125,
0.006305694580078125,
-0.006595611572265625,
0.00909423828125,
0.016571044921875,
0.04913330078125,
-0.003368377685546875,
0.060516357421875,
-0.02886962890625,
-0.007686614990234375,
-0.0187225341796875,
0.003986358642578125,
0.0313720703125,
0.06488037109375,
0.054962158203125,
-0.035125732421875,
-0.017181396484375,
-0.0242919921875,
-0.06591796875,
0.03411865234375,
-0.00774383544921875,
-0.0267486572265625,
-0.00833892822265625,
0.0157012939453125,
-0.033416748046875,
0.0548095703125,
0.01337432861328125,
-0.006389617919921875,
0.05059814453125,
-0.051300048828125,
-0.024200439453125,
-0.06695556640625,
0.0189971923828125,
0.0176544189453125,
0.002346038818359375,
-0.0242156982421875,
0.00846099853515625,
0.015838623046875,
-0.0174407958984375,
-0.03387451171875,
0.036224365234375,
0.00286102294921875,
0.0035858154296875,
-0.0142822265625,
-0.031951904296875,
-0.007228851318359375,
0.058624267578125,
0.0202789306640625,
0.034820556640625,
0.049774169921875,
-0.051361083984375,
0.04119873046875,
0.042633056640625,
-0.0300750732421875,
0.0301971435546875,
-0.0782470703125,
0.00933837890625,
-0.0091705322265625,
0.00830841064453125,
-0.056671142578125,
-0.0217742919921875,
0.04119873046875,
-0.03558349609375,
0.0230560302734375,
-0.0068817138671875,
-0.047698974609375,
-0.045257568359375,
-0.00780487060546875,
0.013641357421875,
0.049041748046875,
-0.062042236328125,
0.03326416015625,
-0.0119171142578125,
0.0232391357421875,
-0.04119873046875,
-0.050323486328125,
-0.02142333984375,
0.0032024383544921875,
-0.0291595458984375,
0.02081298828125,
-0.0207672119140625,
0.0230865478515625,
0.0082855224609375,
0.012298583984375,
-0.0207061767578125,
-0.00429534912109375,
0.019805908203125,
0.03814697265625,
-0.003429412841796875,
0.0171356201171875,
0.0014009475708007812,
-0.002750396728515625,
0.0219879150390625,
0.0121612548828125,
0.0372314453125,
-0.005222320556640625,
-0.0204620361328125,
-0.057891845703125,
-0.009124755859375,
0.029296875,
-0.01064300537109375,
0.066162109375,
0.069091796875,
-0.043212890625,
0.002532958984375,
-0.028717041015625,
-0.0019207000732421875,
-0.0306549072265625,
0.03594970703125,
-0.0379638671875,
-0.008209228515625,
0.0423583984375,
0.02459716796875,
0.01491546630859375,
0.06549072265625,
0.0496826171875,
-0.00658416748046875,
0.08306884765625,
0.0273590087890625,
-0.01064300537109375,
0.03155517578125,
-0.049163818359375,
-0.010284423828125,
-0.05712890625,
-0.034027099609375,
-0.039886474609375,
-0.0256500244140625,
-0.041168212890625,
0.002246856689453125,
0.01360321044921875,
0.0083465576171875,
-0.039398193359375,
0.0240325927734375,
-0.043975830078125,
0.0310211181640625,
0.059478759765625,
0.046142578125,
-0.019500732421875,
0.014892578125,
-0.01323699951171875,
-0.0038776397705078125,
-0.06683349609375,
-0.03271484375,
0.10321044921875,
0.0440673828125,
0.053009033203125,
-0.01200103759765625,
0.055206298828125,
0.007564544677734375,
0.01421356201171875,
-0.03594970703125,
0.0367431640625,
0.0018033981323242188,
-0.0694580078125,
-0.027679443359375,
-0.0178985595703125,
-0.0517578125,
0.00798797607421875,
-0.0406494140625,
-0.038909912109375,
0.0037288665771484375,
0.021209716796875,
-0.029815673828125,
0.0310821533203125,
-0.042144775390625,
0.0826416015625,
-0.0230712890625,
-0.0357666015625,
-0.0223388671875,
-0.048492431640625,
0.00856781005859375,
0.00438690185546875,
-0.030303955078125,
0.00023674964904785156,
0.024444580078125,
0.07745361328125,
-0.041107177734375,
0.05316162109375,
-0.036712646484375,
0.0207061767578125,
0.027801513671875,
-0.035308837890625,
0.039337158203125,
0.00397491455078125,
-0.0230712890625,
0.017120361328125,
-0.00684356689453125,
-0.052764892578125,
-0.0249786376953125,
0.04766845703125,
-0.09454345703125,
-0.0031719207763671875,
-0.032379150390625,
-0.03680419921875,
-0.004913330078125,
0.009246826171875,
0.04571533203125,
0.051025390625,
-0.02398681640625,
0.0135040283203125,
0.041046142578125,
-0.0061798095703125,
0.038421630859375,
0.0141448974609375,
0.002716064453125,
-0.031463623046875,
0.0660400390625,
-0.00505828857421875,
0.00504302978515625,
-0.00872039794921875,
0.00879669189453125,
-0.032379150390625,
-0.039154052734375,
-0.0435791015625,
0.020904541015625,
-0.0579833984375,
-0.0104217529296875,
-0.0188140869140625,
-0.044403076171875,
-0.02337646484375,
0.00853729248046875,
-0.0286865234375,
-0.004207611083984375,
-0.03955078125,
-0.0099334716796875,
0.0164794921875,
0.044586181640625,
-0.00556182861328125,
0.055206298828125,
-0.047515869140625,
0.00429534912109375,
0.011260986328125,
0.04052734375,
0.01032257080078125,
-0.058197021484375,
-0.040283203125,
0.005428314208984375,
-0.0229644775390625,
-0.033111572265625,
0.029815673828125,
0.01479339599609375,
0.056976318359375,
0.03424072265625,
-0.0153656005859375,
0.0638427734375,
-0.031982421875,
0.0560302734375,
0.0218963623046875,
-0.0413818359375,
0.0296783447265625,
-0.0182647705078125,
0.0247955322265625,
0.041656494140625,
0.04144287109375,
0.0089569091796875,
-0.0118560791015625,
-0.09466552734375,
-0.0509033203125,
0.062347412109375,
0.02606201171875,
0.0203094482421875,
0.006011962890625,
0.038330078125,
0.0030689239501953125,
0.0169525146484375,
-0.05792236328125,
-0.034698486328125,
-0.0240631103515625,
-0.01123809814453125,
-0.0125274658203125,
-0.032012939453125,
-0.01357269287109375,
-0.05474853515625,
0.0843505859375,
0.0060577392578125,
0.040283203125,
0.0079498291015625,
0.00830841064453125,
-0.019561767578125,
-0.00868988037109375,
0.039642333984375,
0.05523681640625,
-0.060943603515625,
-0.0296478271484375,
0.004055023193359375,
-0.033721923828125,
-0.01412200927734375,
0.0247039794921875,
-0.0115966796875,
0.0233917236328125,
0.0277557373046875,
0.0845947265625,
0.0031585693359375,
-0.0157623291015625,
0.0284271240234375,
-0.01216888427734375,
-0.0302276611328125,
-0.032623291015625,
0.0154876708984375,
-0.0118560791015625,
0.007335662841796875,
0.0100250244140625,
0.0273590087890625,
-0.006290435791015625,
-0.005401611328125,
0.0108795166015625,
0.01290130615234375,
-0.0284271240234375,
-0.019012451171875,
0.0555419921875,
0.018402099609375,
-0.01959228515625,
0.06658935546875,
-0.007106781005859375,
-0.016265869140625,
0.054290771484375,
0.0382080078125,
0.06011962890625,
-0.005832672119140625,
-0.0005087852478027344,
0.06390380859375,
0.00968170166015625,
-0.01082611083984375,
0.0310821533203125,
0.0010938644409179688,
-0.0479736328125,
-0.0250091552734375,
-0.051116943359375,
-0.0307464599609375,
0.04144287109375,
-0.08831787109375,
0.02740478515625,
-0.049072265625,
-0.029022216796875,
0.0293426513671875,
-0.0037994384765625,
-0.07794189453125,
0.047027587890625,
0.0182037353515625,
0.0860595703125,
-0.065673828125,
0.07489013671875,
0.051361083984375,
-0.03802490234375,
-0.0645751953125,
-0.01065826416015625,
-0.0298309326171875,
-0.072265625,
0.060516357421875,
-0.004329681396484375,
0.029388427734375,
0.005832672119140625,
-0.052947998046875,
-0.047210693359375,
0.054962158203125,
0.0166168212890625,
-0.056854248046875,
-0.006023406982421875,
0.0057525634765625,
0.059295654296875,
-0.014434814453125,
0.046051025390625,
0.018829345703125,
0.020416259765625,
0.01245880126953125,
-0.06732177734375,
-0.0251617431640625,
-0.027099609375,
0.01512908935546875,
0.00667572021484375,
-0.0386962890625,
0.06732177734375,
-0.0011501312255859375,
0.037200927734375,
0.0199432373046875,
0.050811767578125,
0.003917694091796875,
0.00017642974853515625,
0.0247802734375,
0.0654296875,
0.0460205078125,
-0.0068511962890625,
0.0836181640625,
-0.045166015625,
0.05517578125,
0.09027099609375,
-0.0034465789794921875,
0.0557861328125,
0.0200347900390625,
-0.0161895751953125,
0.0208282470703125,
0.06011962890625,
-0.042755126953125,
0.04083251953125,
0.0227203369140625,
0.0008573532104492188,
-0.036285400390625,
0.0199737548828125,
-0.048614501953125,
0.0256805419921875,
0.0028133392333984375,
-0.05535888671875,
-0.0281982421875,
-0.01244354248046875,
-0.010162353515625,
-0.014556884765625,
-0.029205322265625,
0.034027099609375,
-0.038116455078125,
-0.032073974609375,
0.056854248046875,
0.0037822723388671875,
0.02691650390625,
-0.055694580078125,
-0.0018911361694335938,
0.00843048095703125,
0.03448486328125,
-0.01181793212890625,
-0.04736328125,
0.0152740478515625,
-0.0014467239379882812,
-0.0178375244140625,
-0.00308990478515625,
0.047271728515625,
-0.02313232421875,
-0.062347412109375,
0.01267242431640625,
0.0310821533203125,
0.0296478271484375,
0.00800323486328125,
-0.08807373046875,
0.0006380081176757812,
-0.006526947021484375,
-0.02716064453125,
0.019012451171875,
0.007709503173828125,
0.01885986328125,
0.034088134765625,
0.04266357421875,
0.0009002685546875,
0.0027980804443359375,
0.018402099609375,
0.07080078125,
-0.043792724609375,
-0.03277587890625,
-0.05584716796875,
0.0271148681640625,
-0.0207061767578125,
-0.06182861328125,
0.03961181640625,
0.06915283203125,
0.07720947265625,
-0.0261383056640625,
0.048736572265625,
-0.0018768310546875,
0.03436279296875,
-0.0270843505859375,
0.05352783203125,
-0.0286712646484375,
-0.01409149169921875,
-0.017669677734375,
-0.06170654296875,
0.0024013519287109375,
0.062164306640625,
-0.0178985595703125,
0.0105743408203125,
0.0296478271484375,
0.04266357421875,
0.0009260177612304688,
0.01119232177734375,
0.0209503173828125,
-0.0058746337890625,
0.01641845703125,
0.029815673828125,
0.034271240234375,
-0.058197021484375,
0.032928466796875,
-0.049346923828125,
-0.00893402099609375,
-0.01047515869140625,
-0.049072265625,
-0.077392578125,
-0.02056884765625,
-0.037261962890625,
-0.03887939453125,
0.01776123046875,
0.07489013671875,
0.05712890625,
-0.045745849609375,
-0.03143310546875,
0.0038547515869140625,
-0.0240631103515625,
-0.0311737060546875,
-0.0129241943359375,
0.03973388671875,
-0.033416748046875,
-0.05584716796875,
-0.003925323486328125,
-0.0272216796875,
0.018585205078125,
-0.0099334716796875,
-0.0231781005859375,
-0.021453857421875,
-0.026763916015625,
0.0160064697265625,
0.0030078887939453125,
-0.036773681640625,
-0.0289459228515625,
-0.01849365234375,
-0.010772705078125,
0.017974853515625,
0.0162811279296875,
-0.046783447265625,
0.0418701171875,
0.013275146484375,
0.027923583984375,
0.0545654296875,
-0.00731658935546875,
0.0237884521484375,
-0.052947998046875,
0.021148681640625,
0.01422119140625,
0.0279388427734375,
0.00533294677734375,
-0.022125244140625,
0.038909912109375,
0.031463623046875,
-0.038848876953125,
-0.048675537109375,
-0.01983642578125,
-0.07794189453125,
0.006870269775390625,
0.07470703125,
-0.0092010498046875,
-0.041595458984375,
0.0304107666015625,
-0.0157012939453125,
0.033477783203125,
-0.0234527587890625,
0.041595458984375,
0.05853271484375,
-0.00955963134765625,
0.01244354248046875,
-0.03289794921875,
0.033416748046875,
0.0283660888671875,
-0.046295166015625,
-0.0128631591796875,
0.02325439453125,
0.0258026123046875,
0.004825592041015625,
0.020660400390625,
0.0002586841583251953,
0.03265380859375,
-0.0008025169372558594,
0.042999267578125,
-0.026458740234375,
-0.0226898193359375,
-0.0215301513671875,
0.007289886474609375,
0.0098724365234375,
-0.04217529296875
]
] |
gokuls/HBERTv1_48_L4_H64_A2 | 2023-10-02T23:42:51.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L4_H64_A2 | 0 | 2 | transformers | 2023-09-30T16:33:55 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L4_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.1477757630443569
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L4_H64_A2
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1333
- Accuracy: 0.1478
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 162
- eval_batch_size: 162
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,587 | [
[
-0.0309906005859375,
-0.050323486328125,
0.006351470947265625,
0.01148223876953125,
-0.032928466796875,
-0.03350830078125,
-0.0241241455078125,
-0.027862548828125,
0.006893157958984375,
0.01502227783203125,
-0.049224853515625,
-0.036376953125,
-0.042083740234375,
-0.0157318115234375,
-0.0214691162109375,
0.1014404296875,
0.01043701171875,
0.030792236328125,
-0.00998687744140625,
0.0078887939453125,
-0.0145263671875,
-0.0517578125,
-0.0638427734375,
-0.055511474609375,
0.034576416015625,
-0.0006456375122070312,
0.072509765625,
0.06463623046875,
0.0517578125,
0.0167083740234375,
-0.032257080078125,
-0.01458740234375,
-0.050079345703125,
-0.024749755859375,
0.004665374755859375,
-0.026123046875,
-0.05474853515625,
-0.003047943115234375,
0.058563232421875,
0.0220794677734375,
-0.0251922607421875,
0.032989501953125,
0.01389312744140625,
0.032745361328125,
-0.03253173828125,
0.0261688232421875,
-0.03924560546875,
0.0228729248046875,
-0.01270294189453125,
-0.0134735107421875,
-0.0350341796875,
-0.008270263671875,
0.01209259033203125,
-0.03851318359375,
0.044647216796875,
-0.009063720703125,
0.10186767578125,
0.026763916015625,
0.00927734375,
0.0095672607421875,
-0.06494140625,
0.040374755859375,
-0.054168701171875,
0.020233154296875,
0.0294952392578125,
0.04638671875,
-0.0008111000061035156,
-0.059417724609375,
-0.035247802734375,
-0.0099029541015625,
0.004261016845703125,
0.0191802978515625,
-0.004024505615234375,
0.005130767822265625,
0.050567626953125,
0.0240478515625,
-0.0333251953125,
0.01256561279296875,
-0.04132080078125,
-0.01399993896484375,
0.047393798828125,
0.0258331298828125,
-0.011474609375,
-0.016815185546875,
-0.031982421875,
-0.0276336669921875,
-0.028717041015625,
0.01515960693359375,
0.051177978515625,
0.02239990234375,
-0.0274200439453125,
0.040191650390625,
-0.00004464387893676758,
0.061859130859375,
0.0018644332885742188,
-0.003238677978515625,
0.0399169921875,
-0.005794525146484375,
-0.035308837890625,
-0.014129638671875,
0.062255859375,
0.031585693359375,
0.02813720703125,
-0.0006008148193359375,
-0.0235595703125,
-0.0239105224609375,
0.041351318359375,
-0.058746337890625,
-0.03729248046875,
0.00014984607696533203,
-0.05682373046875,
-0.041351318359375,
-0.00350189208984375,
-0.0401611328125,
0.009735107421875,
-0.0377197265625,
0.041259765625,
-0.047698974609375,
-0.00861358642578125,
-0.0016384124755859375,
-0.015716552734375,
0.026275634765625,
0.0192413330078125,
-0.06378173828125,
0.021240234375,
0.0263519287109375,
0.031768798828125,
0.017059326171875,
-0.032196044921875,
-0.005733489990234375,
0.0023021697998046875,
-0.0235748291015625,
0.03375244140625,
-0.023193359375,
-0.027923583984375,
-0.0005154609680175781,
0.005237579345703125,
-0.00875091552734375,
-0.0282440185546875,
0.07086181640625,
-0.0291748046875,
0.014984130859375,
-0.02044677734375,
-0.05609130859375,
-0.00836944580078125,
0.0180511474609375,
-0.049774169921875,
0.087646484375,
0.005008697509765625,
-0.04937744140625,
0.0430908203125,
-0.047882080078125,
-0.01203155517578125,
0.022705078125,
-0.006977081298828125,
-0.06048583984375,
0.00323486328125,
0.008453369140625,
0.039886474609375,
-0.005565643310546875,
0.0308380126953125,
-0.035064697265625,
-0.045196533203125,
-0.0034008026123046875,
-0.0377197265625,
0.055755615234375,
0.00894927978515625,
-0.021026611328125,
0.0208282470703125,
-0.08111572265625,
0.0221405029296875,
0.0239410400390625,
-0.04254150390625,
0.00939178466796875,
-0.0011987686157226562,
0.039154052734375,
0.01290130615234375,
0.0270843505859375,
-0.04498291015625,
0.0092926025390625,
-0.0233917236328125,
0.01201629638671875,
0.053802490234375,
-0.01348114013671875,
-0.0056304931640625,
-0.0293731689453125,
0.004940032958984375,
-0.0028133392333984375,
0.0440673828125,
0.0218505859375,
-0.0435791015625,
-0.061309814453125,
-0.0270233154296875,
0.02850341796875,
0.01983642578125,
-0.0300750732421875,
0.0728759765625,
-0.01025390625,
-0.06854248046875,
-0.035888671875,
0.0095367431640625,
0.03460693359375,
0.04522705078125,
0.039276123046875,
-0.005107879638671875,
-0.0276031494140625,
-0.08428955078125,
0.006351470947265625,
-0.005863189697265625,
0.009307861328125,
0.0165863037109375,
0.0494384765625,
-0.004596710205078125,
0.0601806640625,
-0.02850341796875,
-0.006702423095703125,
-0.01800537109375,
0.0037078857421875,
0.032318115234375,
0.06512451171875,
0.055206298828125,
-0.03546142578125,
-0.017059326171875,
-0.024444580078125,
-0.06475830078125,
0.035003662109375,
-0.00799560546875,
-0.026458740234375,
-0.0084381103515625,
0.0159454345703125,
-0.034210205078125,
0.053863525390625,
0.0136871337890625,
-0.007293701171875,
0.050628662109375,
-0.050872802734375,
-0.0249176025390625,
-0.06787109375,
0.019378662109375,
0.0169677734375,
0.0018024444580078125,
-0.0237579345703125,
0.008392333984375,
0.01544189453125,
-0.0183868408203125,
-0.03271484375,
0.036529541015625,
0.0032444000244140625,
0.003818511962890625,
-0.01401519775390625,
-0.031829833984375,
-0.007740020751953125,
0.05865478515625,
0.02069091796875,
0.03485107421875,
0.050048828125,
-0.050933837890625,
0.039337158203125,
0.042236328125,
-0.0297088623046875,
0.030853271484375,
-0.07843017578125,
0.00955963134765625,
-0.0091400146484375,
0.0080718994140625,
-0.0570068359375,
-0.02191162109375,
0.04058837890625,
-0.035675048828125,
0.0232696533203125,
-0.007427215576171875,
-0.047821044921875,
-0.044403076171875,
-0.0086669921875,
0.0129241943359375,
0.048736572265625,
-0.061309814453125,
0.034027099609375,
-0.0113983154296875,
0.022705078125,
-0.040924072265625,
-0.049713134765625,
-0.022125244140625,
0.003139495849609375,
-0.029998779296875,
0.0209503173828125,
-0.02142333984375,
0.022796630859375,
0.00795745849609375,
0.01258087158203125,
-0.0201568603515625,
-0.00437164306640625,
0.0206298828125,
0.03863525390625,
-0.0038738250732421875,
0.0164642333984375,
0.0016078948974609375,
-0.002704620361328125,
0.0220947265625,
0.01215362548828125,
0.03765869140625,
-0.0066070556640625,
-0.0206298828125,
-0.056915283203125,
-0.0089111328125,
0.0301666259765625,
-0.0100250244140625,
0.066650390625,
0.0687255859375,
-0.0430908203125,
0.002368927001953125,
-0.028594970703125,
-0.0028247833251953125,
-0.03076171875,
0.03607177734375,
-0.0377197265625,
-0.0088043212890625,
0.04296875,
0.0237579345703125,
0.015106201171875,
0.0650634765625,
0.048858642578125,
-0.006038665771484375,
0.08355712890625,
0.0271148681640625,
-0.010833740234375,
0.031829833984375,
-0.049041748046875,
-0.01068115234375,
-0.057037353515625,
-0.033935546875,
-0.040069580078125,
-0.026031494140625,
-0.041778564453125,
0.0020160675048828125,
0.012786865234375,
0.0082855224609375,
-0.04046630859375,
0.0233917236328125,
-0.044525146484375,
0.0309906005859375,
0.059326171875,
0.04595947265625,
-0.019561767578125,
0.01477813720703125,
-0.01468658447265625,
-0.0036716461181640625,
-0.0662841796875,
-0.03326416015625,
0.10345458984375,
0.043914794921875,
0.052581787109375,
-0.0118560791015625,
0.054779052734375,
0.006275177001953125,
0.0133056640625,
-0.0345458984375,
0.037811279296875,
0.0010652542114257812,
-0.0703125,
-0.0271453857421875,
-0.01812744140625,
-0.0523681640625,
0.0084228515625,
-0.041015625,
-0.039825439453125,
0.0029163360595703125,
0.019744873046875,
-0.030426025390625,
0.0312347412109375,
-0.0428466796875,
0.08251953125,
-0.0225830078125,
-0.036102294921875,
-0.022186279296875,
-0.049285888671875,
0.009002685546875,
0.00508880615234375,
-0.030242919921875,
0.001087188720703125,
0.0245208740234375,
0.07684326171875,
-0.04095458984375,
0.053985595703125,
-0.0364990234375,
0.021881103515625,
0.0269317626953125,
-0.0347900390625,
0.03973388671875,
0.00495147705078125,
-0.0222625732421875,
0.0169830322265625,
-0.005840301513671875,
-0.052581787109375,
-0.0242462158203125,
0.048492431640625,
-0.0948486328125,
-0.0033092498779296875,
-0.032470703125,
-0.038116455078125,
-0.005474090576171875,
0.0099945068359375,
0.044708251953125,
0.051116943359375,
-0.0245513916015625,
0.0143280029296875,
0.041778564453125,
-0.005977630615234375,
0.03814697265625,
0.01465606689453125,
0.0014705657958984375,
-0.03155517578125,
0.06597900390625,
-0.0056915283203125,
0.00505828857421875,
-0.00899505615234375,
0.0083160400390625,
-0.032379150390625,
-0.039154052734375,
-0.042510986328125,
0.0218963623046875,
-0.05712890625,
-0.01023101806640625,
-0.0191802978515625,
-0.04461669921875,
-0.0237884521484375,
0.008453369140625,
-0.028564453125,
-0.00418853759765625,
-0.0396728515625,
-0.00977325439453125,
0.01666259765625,
0.043792724609375,
-0.005535125732421875,
0.054351806640625,
-0.047149658203125,
0.004543304443359375,
0.011962890625,
0.0406494140625,
0.00933837890625,
-0.058380126953125,
-0.03900146484375,
0.005374908447265625,
-0.0225830078125,
-0.031982421875,
0.0293731689453125,
0.0143585205078125,
0.05633544921875,
0.0343017578125,
-0.01458740234375,
0.06378173828125,
-0.03179931640625,
0.055694580078125,
0.0213775634765625,
-0.04071044921875,
0.02899169921875,
-0.019439697265625,
0.02569580078125,
0.04205322265625,
0.0406494140625,
0.00945281982421875,
-0.0120697021484375,
-0.09503173828125,
-0.050872802734375,
0.061767578125,
0.0260467529296875,
0.0214385986328125,
0.0045013427734375,
0.037994384765625,
0.0031108856201171875,
0.0161590576171875,
-0.0574951171875,
-0.03387451171875,
-0.024139404296875,
-0.0117645263671875,
-0.01251220703125,
-0.03265380859375,
-0.01360321044921875,
-0.054168701171875,
0.0838623046875,
0.00566864013671875,
0.04058837890625,
0.00791168212890625,
0.00833892822265625,
-0.01910400390625,
-0.00878143310546875,
0.04083251953125,
0.054473876953125,
-0.06121826171875,
-0.029449462890625,
0.0038127899169921875,
-0.0343017578125,
-0.0158538818359375,
0.0263519287109375,
-0.0114288330078125,
0.023284912109375,
0.0269927978515625,
0.0845947265625,
0.003749847412109375,
-0.0160980224609375,
0.0279998779296875,
-0.01314544677734375,
-0.0295562744140625,
-0.032073974609375,
0.015106201171875,
-0.01019287109375,
0.00860595703125,
0.0105133056640625,
0.0279693603515625,
-0.00695037841796875,
-0.004894256591796875,
0.0108795166015625,
0.0142822265625,
-0.0283203125,
-0.0200958251953125,
0.05633544921875,
0.0182647705078125,
-0.0197296142578125,
0.0673828125,
-0.005889892578125,
-0.01515960693359375,
0.05413818359375,
0.038482666015625,
0.059661865234375,
-0.005886077880859375,
-0.00023126602172851562,
0.0635986328125,
0.0098419189453125,
-0.0101776123046875,
0.03240966796875,
0.0009675025939941406,
-0.047210693359375,
-0.024993896484375,
-0.051605224609375,
-0.0291290283203125,
0.041900634765625,
-0.0875244140625,
0.027679443359375,
-0.0491943359375,
-0.0292816162109375,
0.0289459228515625,
-0.0035247802734375,
-0.07781982421875,
0.046478271484375,
0.018463134765625,
0.08642578125,
-0.0655517578125,
0.0751953125,
0.051300048828125,
-0.038116455078125,
-0.06439208984375,
-0.01140594482421875,
-0.0298004150390625,
-0.0723876953125,
0.059814453125,
-0.0033740997314453125,
0.028778076171875,
0.00628662109375,
-0.052642822265625,
-0.04718017578125,
0.05499267578125,
0.018035888671875,
-0.05755615234375,
-0.00547027587890625,
0.0060882568359375,
0.059326171875,
-0.01393890380859375,
0.046112060546875,
0.0180511474609375,
0.02020263671875,
0.01184844970703125,
-0.0672607421875,
-0.02557373046875,
-0.027618408203125,
0.015106201171875,
0.006931304931640625,
-0.03851318359375,
0.0675048828125,
-0.0004069805145263672,
0.03680419921875,
0.020172119140625,
0.051300048828125,
0.005126953125,
0.0005636215209960938,
0.0251922607421875,
0.0657958984375,
0.04595947265625,
-0.006988525390625,
0.083984375,
-0.045135498046875,
0.05548095703125,
0.0908203125,
-0.003444671630859375,
0.055908203125,
0.0208892822265625,
-0.016143798828125,
0.02069091796875,
0.060760498046875,
-0.041778564453125,
0.0413818359375,
0.022125244140625,
0.0009975433349609375,
-0.036102294921875,
0.0191192626953125,
-0.04888916015625,
0.0248870849609375,
0.0025806427001953125,
-0.055145263671875,
-0.0282440185546875,
-0.01302337646484375,
-0.010040283203125,
-0.014404296875,
-0.02996826171875,
0.033843994140625,
-0.03826904296875,
-0.03179931640625,
0.0565185546875,
0.0027008056640625,
0.0273284912109375,
-0.056732177734375,
-0.0014371871948242188,
0.007656097412109375,
0.034454345703125,
-0.01096343994140625,
-0.047210693359375,
0.01546478271484375,
-0.001636505126953125,
-0.01800537109375,
-0.0024280548095703125,
0.047210693359375,
-0.02239990234375,
-0.062469482421875,
0.01318359375,
0.0308990478515625,
0.02935791015625,
0.007259368896484375,
-0.08856201171875,
0.0009551048278808594,
-0.007476806640625,
-0.0275421142578125,
0.019744873046875,
0.0076751708984375,
0.0186004638671875,
0.033935546875,
0.04327392578125,
0.00007963180541992188,
0.003269195556640625,
0.018463134765625,
0.07147216796875,
-0.04351806640625,
-0.032989501953125,
-0.05615234375,
0.0277252197265625,
-0.0207061767578125,
-0.061309814453125,
0.0399169921875,
0.06939697265625,
0.07696533203125,
-0.02642822265625,
0.047332763671875,
-0.00211334228515625,
0.034271240234375,
-0.027069091796875,
0.053314208984375,
-0.0286407470703125,
-0.0147857666015625,
-0.01849365234375,
-0.061676025390625,
0.00205230712890625,
0.061859130859375,
-0.018035888671875,
0.0113983154296875,
0.0294189453125,
0.0433349609375,
0.00032067298889160156,
0.01169586181640625,
0.021484375,
-0.006011962890625,
0.016082763671875,
0.0298309326171875,
0.034576416015625,
-0.05743408203125,
0.03314208984375,
-0.048614501953125,
-0.00801849365234375,
-0.010345458984375,
-0.04876708984375,
-0.0777587890625,
-0.0218505859375,
-0.03692626953125,
-0.03826904296875,
0.0176239013671875,
0.074462890625,
0.058349609375,
-0.0458984375,
-0.030426025390625,
0.003170013427734375,
-0.024749755859375,
-0.0311737060546875,
-0.01268768310546875,
0.0396728515625,
-0.03289794921875,
-0.05645751953125,
-0.00321197509765625,
-0.0272064208984375,
0.0180511474609375,
-0.00997161865234375,
-0.0231170654296875,
-0.021881103515625,
-0.0262908935546875,
0.0155181884765625,
0.0027141571044921875,
-0.036773681640625,
-0.029052734375,
-0.01806640625,
-0.01128387451171875,
0.0172576904296875,
0.0167236328125,
-0.04693603515625,
0.0418701171875,
0.013824462890625,
0.0288848876953125,
0.054473876953125,
-0.00769805908203125,
0.022857666015625,
-0.052703857421875,
0.0210723876953125,
0.01392364501953125,
0.0290374755859375,
0.005340576171875,
-0.02294921875,
0.039276123046875,
0.0306243896484375,
-0.039215087890625,
-0.04888916015625,
-0.019989013671875,
-0.07843017578125,
0.00567626953125,
0.07421875,
-0.00893402099609375,
-0.041107177734375,
0.0306549072265625,
-0.0156097412109375,
0.033416748046875,
-0.0236968994140625,
0.041778564453125,
0.05810546875,
-0.00884246826171875,
0.0122833251953125,
-0.03302001953125,
0.031890869140625,
0.029052734375,
-0.046051025390625,
-0.01332855224609375,
0.023895263671875,
0.026519775390625,
0.00525665283203125,
0.020172119140625,
-0.00017368793487548828,
0.031982421875,
-0.0009045600891113281,
0.041900634765625,
-0.0272674560546875,
-0.022613525390625,
-0.0219268798828125,
0.007625579833984375,
0.009033203125,
-0.0423583984375
]
] |
gokuls/HBERTv1_48_L4_H768_A12 | 2023-10-02T23:52:44.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L4_H768_A12 | 0 | 2 | transformers | 2023-09-30T16:34:11 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L4_H768_A12
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.46381721409003707
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HBERTv1_48_L4_H768_A12
This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0280
- Accuracy: 0.4638
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
### Training results
### Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3
| 1,590 | [
[
-0.030426025390625,
-0.04925537109375,
0.006397247314453125,
0.0119476318359375,
-0.03302001953125,
-0.033935546875,
-0.024444580078125,
-0.0275115966796875,
0.00605010986328125,
0.01515960693359375,
-0.048614501953125,
-0.036956787109375,
-0.0426025390625,
-0.01580810546875,
-0.021392822265625,
0.10125732421875,
0.00937652587890625,
0.0309295654296875,
-0.00991058349609375,
0.00812530517578125,
-0.01519012451171875,
-0.052093505859375,
-0.06353759765625,
-0.056610107421875,
0.034393310546875,
0.0002613067626953125,
0.07196044921875,
0.06402587890625,
0.051666259765625,
0.0160675048828125,
-0.032501220703125,
-0.01540374755859375,
-0.050140380859375,
-0.0247802734375,
0.004726409912109375,
-0.0271453857421875,
-0.0548095703125,
-0.0025310516357421875,
0.0584716796875,
0.0217437744140625,
-0.0254669189453125,
0.0333251953125,
0.01433563232421875,
0.032867431640625,
-0.032745361328125,
0.027435302734375,
-0.0390625,
0.023712158203125,
-0.012725830078125,
-0.01434326171875,
-0.03497314453125,
-0.00897979736328125,
0.01213836669921875,
-0.038848876953125,
0.044769287109375,
-0.00916290283203125,
0.1016845703125,
0.026123046875,
0.00971221923828125,
0.008880615234375,
-0.0655517578125,
0.040863037109375,
-0.054931640625,
0.0199432373046875,
0.030120849609375,
0.046600341796875,
-0.00011295080184936523,
-0.058807373046875,
-0.03594970703125,
-0.00984954833984375,
0.004180908203125,
0.0195465087890625,
-0.0033092498779296875,
0.00518035888671875,
0.05078125,
0.0236053466796875,
-0.03302001953125,
0.01287841796875,
-0.0416259765625,
-0.01377105712890625,
0.0472412109375,
0.0256805419921875,
-0.0121002197265625,
-0.017364501953125,
-0.032012939453125,
-0.0276641845703125,
-0.0295562744140625,
0.01486968994140625,
0.05145263671875,
0.0216064453125,
-0.0276031494140625,
0.0408935546875,
-0.0005331039428710938,
0.0615234375,
0.0008540153503417969,
-0.005039215087890625,
0.040283203125,
-0.005710601806640625,
-0.03515625,
-0.01351165771484375,
0.061981201171875,
0.031951904296875,
0.02874755859375,
0.00035953521728515625,
-0.02362060546875,
-0.02490234375,
0.040771484375,
-0.05792236328125,
-0.0374755859375,
-0.0005846023559570312,
-0.05706787109375,
-0.042022705078125,
-0.0035991668701171875,
-0.039703369140625,
0.009857177734375,
-0.03759765625,
0.041656494140625,
-0.04718017578125,
-0.007965087890625,
-0.0020427703857421875,
-0.016876220703125,
0.0264739990234375,
0.0195770263671875,
-0.0635986328125,
0.021392822265625,
0.025421142578125,
0.031097412109375,
0.0169677734375,
-0.032562255859375,
-0.0054473876953125,
0.0030574798583984375,
-0.023651123046875,
0.033355712890625,
-0.0228424072265625,
-0.028533935546875,
-0.00036072731018066406,
0.004894256591796875,
-0.00823211669921875,
-0.0288848876953125,
0.0706787109375,
-0.029266357421875,
0.014678955078125,
-0.020050048828125,
-0.055755615234375,
-0.0085601806640625,
0.01812744140625,
-0.049652099609375,
0.088134765625,
0.005672454833984375,
-0.0491943359375,
0.042877197265625,
-0.047210693359375,
-0.0120697021484375,
0.0221710205078125,
-0.00655364990234375,
-0.059967041015625,
0.002910614013671875,
0.00769805908203125,
0.0399169921875,
-0.00569915771484375,
0.0303802490234375,
-0.0347900390625,
-0.045074462890625,
-0.0029010772705078125,
-0.038726806640625,
0.055267333984375,
0.0083160400390625,
-0.0212554931640625,
0.0201416015625,
-0.08099365234375,
0.021942138671875,
0.023956298828125,
-0.04345703125,
0.00921630859375,
-0.00083160400390625,
0.039337158203125,
0.0128631591796875,
0.0260467529296875,
-0.0450439453125,
0.00885009765625,
-0.0239715576171875,
0.01087188720703125,
0.054290771484375,
-0.0129852294921875,
-0.0061187744140625,
-0.028961181640625,
0.0049896240234375,
-0.002971649169921875,
0.04388427734375,
0.023040771484375,
-0.043792724609375,
-0.062255859375,
-0.02496337890625,
0.0286407470703125,
0.0205841064453125,
-0.0306549072265625,
0.0728759765625,
-0.01080322265625,
-0.06805419921875,
-0.0352783203125,
0.00984954833984375,
0.034698486328125,
0.045562744140625,
0.039825439453125,
-0.005619049072265625,
-0.02740478515625,
-0.08404541015625,
0.005939483642578125,
-0.00617218017578125,
0.00937652587890625,
0.0163421630859375,
0.04974365234375,
-0.004062652587890625,
0.060821533203125,
-0.02923583984375,
-0.00724029541015625,
-0.019317626953125,
0.00450897216796875,
0.03167724609375,
0.06549072265625,
0.055084228515625,
-0.035369873046875,
-0.017852783203125,
-0.024505615234375,
-0.065185546875,
0.034149169921875,
-0.00782012939453125,
-0.0263519287109375,
-0.00852203369140625,
0.01557159423828125,
-0.03375244140625,
0.0552978515625,
0.01371002197265625,
-0.00635528564453125,
0.051239013671875,
-0.050994873046875,
-0.0247650146484375,
-0.0675048828125,
0.0189971923828125,
0.017669677734375,
0.00264739990234375,
-0.0243072509765625,
0.007282257080078125,
0.0152740478515625,
-0.0181732177734375,
-0.033935546875,
0.036224365234375,
0.0033721923828125,
0.0035190582275390625,
-0.0146026611328125,
-0.031524658203125,
-0.006992340087890625,
0.0587158203125,
0.0203094482421875,
0.034576416015625,
0.0491943359375,
-0.051483154296875,
0.039642333984375,
0.0426025390625,
-0.02978515625,
0.030609130859375,
-0.07843017578125,
0.00821685791015625,
-0.00891876220703125,
0.00811004638671875,
-0.056610107421875,
-0.0213623046875,
0.041351318359375,
-0.035888671875,
0.023468017578125,
-0.007160186767578125,
-0.04754638671875,
-0.044921875,
-0.007808685302734375,
0.01377105712890625,
0.049285888671875,
-0.060943603515625,
0.03375244140625,
-0.01210784912109375,
0.022857666015625,
-0.040863037109375,
-0.050140380859375,
-0.0225067138671875,
0.0034503936767578125,
-0.029022216796875,
0.0210113525390625,
-0.0214996337890625,
0.023284912109375,
0.0079193115234375,
0.0118560791015625,
-0.02069091796875,
-0.004638671875,
0.02001953125,
0.03790283203125,
-0.0030975341796875,
0.0161285400390625,
0.00164794921875,
-0.003147125244140625,
0.0220947265625,
0.01175689697265625,
0.037200927734375,
-0.00463104248046875,
-0.0211944580078125,
-0.057830810546875,
-0.0084991455078125,
0.029449462890625,
-0.01044464111328125,
0.06634521484375,
0.06964111328125,
-0.04278564453125,
0.0029888153076171875,
-0.0285797119140625,
-0.0018205642700195312,
-0.0306549072265625,
0.036376953125,
-0.037353515625,
-0.00830078125,
0.04193115234375,
0.02447509765625,
0.0146484375,
0.065673828125,
0.049041748046875,
-0.00649261474609375,
0.0828857421875,
0.02777099609375,
-0.01044464111328125,
0.03143310546875,
-0.0491943359375,
-0.00991058349609375,
-0.057647705078125,
-0.034149169921875,
-0.0404052734375,
-0.0255889892578125,
-0.04107666015625,
0.0019006729125976562,
0.01326751708984375,
0.0084381103515625,
-0.039459228515625,
0.0238189697265625,
-0.043487548828125,
0.0308074951171875,
0.05950927734375,
0.046112060546875,
-0.0197296142578125,
0.01528167724609375,
-0.01372528076171875,
-0.003662109375,
-0.0670166015625,
-0.032928466796875,
0.10321044921875,
0.043975830078125,
0.052947998046875,
-0.01158905029296875,
0.054962158203125,
0.007480621337890625,
0.01433563232421875,
-0.03558349609375,
0.037322998046875,
0.00115966796875,
-0.069580078125,
-0.0274658203125,
-0.0178680419921875,
-0.0517578125,
0.00811004638671875,
-0.040802001953125,
-0.0390625,
0.003620147705078125,
0.0205841064453125,
-0.0302734375,
0.03125,
-0.042388916015625,
0.0830078125,
-0.0222320556640625,
-0.0352783203125,
-0.0216827392578125,
-0.04864501953125,
0.009033203125,
0.004024505615234375,
-0.0299224853515625,
0.0004754066467285156,
0.0250244140625,
0.077880859375,
-0.041015625,
0.054443359375,
-0.0364990234375,
0.0211334228515625,
0.0278472900390625,
-0.035247802734375,
0.039703369140625,
0.004241943359375,
-0.0223846435546875,
0.016815185546875,
-0.006465911865234375,
-0.052703857421875,
-0.0242767333984375,
0.04803466796875,
-0.0946044921875,
-0.003597259521484375,
-0.032257080078125,
-0.03759765625,
-0.00513458251953125,
0.0088958740234375,
0.045379638671875,
0.051422119140625,
-0.0243377685546875,
0.0140228271484375,
0.0413818359375,
-0.0062713623046875,
0.038299560546875,
0.01439666748046875,
0.0025787353515625,
-0.0312347412109375,
0.06622314453125,
-0.0046844482421875,
0.005535125732421875,
-0.00835418701171875,
0.008880615234375,
-0.032745361328125,
-0.03955078125,
-0.0418701171875,
0.021209716796875,
-0.05804443359375,
-0.01033782958984375,
-0.019195556640625,
-0.04425048828125,
-0.0242156982421875,
0.00916290283203125,
-0.02825927734375,
-0.004108428955078125,
-0.040283203125,
-0.009613037109375,
0.0160980224609375,
0.04412841796875,
-0.00595855712890625,
0.05584716796875,
-0.048004150390625,
0.004795074462890625,
0.01161956787109375,
0.040679931640625,
0.0098876953125,
-0.059478759765625,
-0.040283203125,
0.0052337646484375,
-0.022979736328125,
-0.03375244140625,
0.0305023193359375,
0.0146026611328125,
0.05633544921875,
0.0343017578125,
-0.0146331787109375,
0.06402587890625,
-0.032257080078125,
0.056182861328125,
0.0223846435546875,
-0.04156494140625,
0.029449462890625,
-0.0188140869140625,
0.02496337890625,
0.041656494140625,
0.0411376953125,
0.00911712646484375,
-0.01145172119140625,
-0.0950927734375,
-0.05084228515625,
0.061981201171875,
0.026580810546875,
0.0208282470703125,
0.0050201416015625,
0.0377197265625,
0.0032901763916015625,
0.016387939453125,
-0.058349609375,
-0.034088134765625,
-0.0241546630859375,
-0.0119171142578125,
-0.01345062255859375,
-0.032867431640625,
-0.0135498046875,
-0.054718017578125,
0.0838623046875,
0.00595855712890625,
0.040435791015625,
0.00812530517578125,
0.00823211669921875,
-0.0189056396484375,
-0.0084228515625,
0.0401611328125,
0.0543212890625,
-0.06121826171875,
-0.02923583984375,
0.003932952880859375,
-0.034515380859375,
-0.0148468017578125,
0.025726318359375,
-0.0115814208984375,
0.0238494873046875,
0.0274658203125,
0.08428955078125,
0.00353240966796875,
-0.01523590087890625,
0.028289794921875,
-0.012298583984375,
-0.0303192138671875,
-0.032440185546875,
0.01557159423828125,
-0.011322021484375,
0.007732391357421875,
0.00984954833984375,
0.0279541015625,
-0.006122589111328125,
-0.005039215087890625,
0.01065826416015625,
0.0128021240234375,
-0.0289154052734375,
-0.0192413330078125,
0.055633544921875,
0.01861572265625,
-0.0194244384765625,
0.0665283203125,
-0.006557464599609375,
-0.015655517578125,
0.054443359375,
0.038726806640625,
0.060333251953125,
-0.005847930908203125,
-0.0003752708435058594,
0.0633544921875,
0.00984954833984375,
-0.010528564453125,
0.032196044921875,
0.0014371871948242188,
-0.047332763671875,
-0.024444580078125,
-0.051605224609375,
-0.0294036865234375,
0.0411376953125,
-0.08807373046875,
0.0263824462890625,
-0.04840087890625,
-0.029693603515625,
0.0286865234375,
-0.004001617431640625,
-0.07843017578125,
0.04693603515625,
0.018218994140625,
0.08648681640625,
-0.06640625,
0.07537841796875,
0.050445556640625,
-0.03887939453125,
-0.06488037109375,
-0.0107574462890625,
-0.02960205078125,
-0.07147216796875,
0.060638427734375,
-0.004055023193359375,
0.029510498046875,
0.00632476806640625,
-0.053192138671875,
-0.047027587890625,
0.055328369140625,
0.0164031982421875,
-0.057159423828125,
-0.0051422119140625,
0.0067901611328125,
0.058807373046875,
-0.014129638671875,
0.046234130859375,
0.0186309814453125,
0.0206756591796875,
0.012115478515625,
-0.06732177734375,
-0.025909423828125,
-0.02685546875,
0.01540374755859375,
0.006458282470703125,
-0.037994384765625,
0.0673828125,
-0.0004875659942626953,
0.03656005859375,
0.0203399658203125,
0.05133056640625,
0.00412750244140625,
0.0007371902465820312,
0.0246429443359375,
0.06549072265625,
0.045501708984375,
-0.00714874267578125,
0.083740234375,
-0.044769287109375,
0.055267333984375,
0.09088134765625,
-0.0034637451171875,
0.056396484375,
0.020721435546875,
-0.0157623291015625,
0.0206298828125,
0.060333251953125,
-0.042144775390625,
0.041015625,
0.0221099853515625,
0.0010728836059570312,
-0.035858154296875,
0.019439697265625,
-0.049072265625,
0.02508544921875,
0.0026264190673828125,
-0.0552978515625,
-0.028045654296875,
-0.01279449462890625,
-0.01025390625,
-0.01470184326171875,
-0.0293731689453125,
0.03338623046875,
-0.0377197265625,
-0.031829833984375,
0.057098388671875,
0.0038013458251953125,
0.0264739990234375,
-0.05609130859375,
-0.001796722412109375,
0.00762939453125,
0.034423828125,
-0.0113067626953125,
-0.047943115234375,
0.0155029296875,
-0.0012950897216796875,
-0.0182952880859375,
-0.0022029876708984375,
0.046417236328125,
-0.0229644775390625,
-0.06207275390625,
0.0130462646484375,
0.0309295654296875,
0.0298919677734375,
0.00737762451171875,
-0.08868408203125,
0.0010652542114257812,
-0.006191253662109375,
-0.02679443359375,
0.0191192626953125,
0.00826263427734375,
0.0189361572265625,
0.033599853515625,
0.043212890625,
0.00008630752563476562,
0.0024051666259765625,
0.0189056396484375,
0.0711669921875,
-0.044342041015625,
-0.03240966796875,
-0.055633544921875,
0.0277099609375,
-0.0204315185546875,
-0.061614990234375,
0.0396728515625,
0.06915283203125,
0.07684326171875,
-0.0267791748046875,
0.048187255859375,
-0.0011911392211914062,
0.034088134765625,
-0.0272216796875,
0.053009033203125,
-0.0284423828125,
-0.0139617919921875,
-0.0184173583984375,
-0.062286376953125,
0.002262115478515625,
0.061004638671875,
-0.0182952880859375,
0.011016845703125,
0.029998779296875,
0.04290771484375,
0.0002868175506591797,
0.01107025146484375,
0.0213165283203125,
-0.005687713623046875,
0.0159759521484375,
0.0299835205078125,
0.03460693359375,
-0.05804443359375,
0.03338623046875,
-0.048431396484375,
-0.00921630859375,
-0.010772705078125,
-0.048492431640625,
-0.0777587890625,
-0.0203094482421875,
-0.0367431640625,
-0.038360595703125,
0.0178375244140625,
0.073974609375,
0.057373046875,
-0.045440673828125,
-0.0312347412109375,
0.00411224365234375,
-0.0245208740234375,
-0.0309906005859375,
-0.0129852294921875,
0.039459228515625,
-0.032806396484375,
-0.055633544921875,
-0.0036411285400390625,
-0.02734375,
0.019317626953125,
-0.009979248046875,
-0.02337646484375,
-0.0216064453125,
-0.0261993408203125,
0.016510009765625,
0.002941131591796875,
-0.037109375,
-0.0289306640625,
-0.01812744140625,
-0.01134490966796875,
0.0175018310546875,
0.015838623046875,
-0.046539306640625,
0.041534423828125,
0.013885498046875,
0.0276031494140625,
0.0543212890625,
-0.007404327392578125,
0.0231781005859375,
-0.0528564453125,
0.0211181640625,
0.01392364501953125,
0.0283966064453125,
0.005062103271484375,
-0.021728515625,
0.03863525390625,
0.031768798828125,
-0.0390625,
-0.048004150390625,
-0.01959228515625,
-0.078125,
0.00588226318359375,
0.0748291015625,
-0.0087738037109375,
-0.04132080078125,
0.029998779296875,
-0.015838623046875,
0.033660888671875,
-0.02337646484375,
0.0411376953125,
0.0574951171875,
-0.0089111328125,
0.01314544677734375,
-0.033538818359375,
0.032501220703125,
0.028350830078125,
-0.046173095703125,
-0.01342010498046875,
0.0237579345703125,
0.0261077880859375,
0.00470733642578125,
0.0209197998046875,
0.00046706199645996094,
0.03167724609375,
-0.00040149688720703125,
0.0430908203125,
-0.025848388671875,
-0.0226898193359375,
-0.0214996337890625,
0.007717132568359375,
0.00957489013671875,
-0.042236328125
]
] |
haryoaw/scenario-normal-finetune-clf-data-indolem_sentiment-model-indolem-indobert-base-uncased | 2023-09-30T17:00:08.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:indolem_sentiment",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | haryoaw | null | null | haryoaw/scenario-normal-finetune-clf-data-indolem_sentiment-model-indolem-indobert-base-uncased | 0 | 2 | transformers | 2023-09-30T16:51:03 | ---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
datasets:
- indolem_sentiment
metrics:
- accuracy
- f1
model-index:
- name: scenario-normal-finetune-clf-data-indolem_sentiment-model-indolem-indobert-base-uncased
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indolem_sentiment
type: indolem_sentiment
config: indolem_sentiment_nusantara_text
split: validation
args: indolem_sentiment_nusantara_text
metrics:
- name: Accuracy
type: accuracy
value: 0.8922305764411027
- name: F1
type: f1
value: 0.8154506437768241
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-normal-finetune-clf-data-indolem_sentiment-model-indolem-indobert-base-uncased
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indolem_sentiment dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7311
- Accuracy: 0.8922
- F1: 0.8155
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 0.44 | 200 | 0.5133 | 0.7544 | 0.3718 |
| No log | 0.88 | 400 | 0.4239 | 0.7995 | 0.6875 |
| 0.4818 | 1.32 | 600 | 0.3889 | 0.8647 | 0.7523 |
| 0.4818 | 1.76 | 800 | 0.3263 | 0.8872 | 0.8069 |
| 0.291 | 2.2 | 1000 | 0.3933 | 0.8847 | 0.8067 |
| 0.291 | 2.64 | 1200 | 0.4703 | 0.8847 | 0.7982 |
| 0.291 | 3.08 | 1400 | 0.5284 | 0.8622 | 0.7843 |
| 0.2432 | 3.52 | 1600 | 0.4924 | 0.8897 | 0.8136 |
| 0.2432 | 3.96 | 1800 | 0.4952 | 0.9023 | 0.8219 |
| 0.1982 | 4.4 | 2000 | 0.5157 | 0.9098 | 0.8421 |
| 0.1982 | 4.84 | 2200 | 0.6454 | 0.8847 | 0.8099 |
| 0.1982 | 5.27 | 2400 | 0.5636 | 0.9048 | 0.8348 |
| 0.1441 | 5.71 | 2600 | 0.6147 | 0.8872 | 0.8193 |
| 0.1441 | 6.15 | 2800 | 0.6280 | 0.8997 | 0.8198 |
| 0.1147 | 6.59 | 3000 | 0.6505 | 0.8947 | 0.8205 |
| 0.1147 | 7.03 | 3200 | 0.6547 | 0.8972 | 0.8285 |
| 0.1147 | 7.47 | 3400 | 0.7311 | 0.8922 | 0.8155 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
| 3,151 | [
[
-0.045928955078125,
-0.028472900390625,
0.010528564453125,
0.013275146484375,
-0.022918701171875,
-0.0219573974609375,
-0.01410675048828125,
-0.01042938232421875,
0.018890380859375,
0.024810791015625,
-0.04827880859375,
-0.056976318359375,
-0.04901123046875,
-0.0103759765625,
-0.0103759765625,
0.0810546875,
0.008819580078125,
0.01110076904296875,
-0.01194000244140625,
-0.019989013671875,
-0.028656005859375,
-0.04150390625,
-0.050048828125,
-0.036376953125,
0.00856781005859375,
0.0281524658203125,
0.05029296875,
0.043182373046875,
0.037628173828125,
0.0217132568359375,
-0.0243072509765625,
-0.004878997802734375,
-0.0264129638671875,
-0.0243377685546875,
0.007465362548828125,
-0.03741455078125,
-0.043487548828125,
0.0021495819091796875,
0.042327880859375,
0.038787841796875,
-0.003925323486328125,
0.0411376953125,
0.0113677978515625,
0.057037353515625,
-0.0362548828125,
0.0219268798828125,
-0.01389312744140625,
0.01434326171875,
-0.00904083251953125,
-0.0211334228515625,
-0.01291656494140625,
-0.0202178955078125,
0.01415252685546875,
-0.035064697265625,
0.0310211181640625,
0.00457763671875,
0.09283447265625,
0.0193023681640625,
-0.0259246826171875,
-0.00226593017578125,
-0.042327880859375,
0.058868408203125,
-0.05621337890625,
0.0160369873046875,
0.033935546875,
0.011138916015625,
0.005413055419921875,
-0.0494384765625,
-0.04278564453125,
0.0157318115234375,
-0.0201416015625,
0.021514892578125,
-0.01338958740234375,
-0.00890350341796875,
0.045318603515625,
0.049285888671875,
-0.043731689453125,
-0.0035686492919921875,
-0.034576416015625,
-0.0127410888671875,
0.057037353515625,
0.0330810546875,
-0.0012073516845703125,
-0.04681396484375,
-0.036712646484375,
-0.0190887451171875,
-0.017486572265625,
0.03192138671875,
0.036102294921875,
0.02056884765625,
-0.0302886962890625,
0.03692626953125,
-0.027191162109375,
0.050048828125,
0.008026123046875,
-0.017608642578125,
0.05889892578125,
-0.0118255615234375,
-0.03363037109375,
0.0044097900390625,
0.06329345703125,
0.060943603515625,
0.0125274658203125,
0.0242462158203125,
-0.018218994140625,
0.000568389892578125,
0.00611114501953125,
-0.07159423828125,
-0.02740478515625,
0.025634765625,
-0.045074462890625,
-0.040069580078125,
0.0084381103515625,
-0.06292724609375,
0.00555419921875,
-0.036651611328125,
0.02581787109375,
-0.032196044921875,
-0.0286865234375,
-0.0020694732666015625,
-0.00476837158203125,
0.0287628173828125,
0.006397247314453125,
-0.058502197265625,
0.01983642578125,
0.029571533203125,
0.056854248046875,
0.004482269287109375,
-0.00794219970703125,
-0.002685546875,
0.00007599592208862305,
-0.0222930908203125,
0.048004150390625,
-0.0191497802734375,
-0.035919189453125,
-0.007232666015625,
0.0159149169921875,
-0.016448974609375,
-0.0311431884765625,
0.057037353515625,
-0.01287078857421875,
0.0293731689453125,
-0.01500701904296875,
-0.0433349609375,
-0.032501220703125,
0.0338134765625,
-0.036834716796875,
0.09930419921875,
0.01092529296875,
-0.079833984375,
0.037628173828125,
-0.047943115234375,
-0.00107574462890625,
-0.008636474609375,
-0.006320953369140625,
-0.06103515625,
-0.0112457275390625,
0.023468017578125,
0.03631591796875,
-0.0249176025390625,
0.024139404296875,
-0.0153656005859375,
-0.030059814453125,
-0.005462646484375,
-0.033111572265625,
0.0830078125,
0.010467529296875,
-0.042572021484375,
0.01361846923828125,
-0.09149169921875,
0.0246734619140625,
0.01285552978515625,
-0.03070068359375,
-0.013458251953125,
-0.0257415771484375,
0.024444580078125,
0.0258636474609375,
0.0140380859375,
-0.0390625,
0.0167388916015625,
-0.036468505859375,
0.0258636474609375,
0.049285888671875,
0.022186279296875,
0.016021728515625,
-0.032745361328125,
0.0281982421875,
0.029296875,
0.0277557373046875,
0.0140380859375,
-0.0257415771484375,
-0.07049560546875,
-0.031524658203125,
0.013092041015625,
0.037872314453125,
-0.0163116455078125,
0.04840087890625,
-0.0171051025390625,
-0.057830810546875,
-0.028411865234375,
0.0006656646728515625,
0.0193023681640625,
0.05078125,
0.0290679931640625,
-0.0140533447265625,
-0.042724609375,
-0.08575439453125,
-0.0066070556640625,
-0.0033283233642578125,
0.0209808349609375,
0.02056884765625,
0.0555419921875,
-0.0188140869140625,
0.07135009765625,
-0.04705810546875,
-0.0271148681640625,
-0.00644683837890625,
0.00730133056640625,
0.048858642578125,
0.05645751953125,
0.0601806640625,
-0.053436279296875,
-0.041778564453125,
-0.01557159423828125,
-0.060516357421875,
0.02484130859375,
0.0002732276916503906,
-0.0172882080078125,
0.00969696044921875,
0.018798828125,
-0.057525634765625,
0.06512451171875,
0.0283660888671875,
-0.02923583984375,
0.059661865234375,
-0.0200347900390625,
0.0060272216796875,
-0.09429931640625,
0.0224456787109375,
0.00974273681640625,
-0.018524169921875,
-0.02996826171875,
-0.00885009765625,
0.0038394927978515625,
-0.0162811279296875,
-0.0267791748046875,
0.043426513671875,
-0.0198822021484375,
0.0078277587890625,
-0.0016355514526367188,
-0.018341064453125,
-0.0037593841552734375,
0.05987548828125,
0.005977630615234375,
0.05303955078125,
0.06524658203125,
-0.038604736328125,
0.0233001708984375,
0.025634765625,
-0.033660888671875,
0.050048828125,
-0.054351806640625,
-0.0007510185241699219,
-0.01053619384765625,
0.00435638427734375,
-0.07781982421875,
-0.0283203125,
0.032562255859375,
-0.0361328125,
0.01263427734375,
-0.02105712890625,
-0.019805908203125,
-0.04296875,
-0.024871826171875,
0.01369476318359375,
0.0418701171875,
-0.032684326171875,
0.04150390625,
0.0020236968994140625,
0.00736236572265625,
-0.051361083984375,
-0.053741455078125,
-0.0200347900390625,
-0.02276611328125,
-0.038116455078125,
0.0087127685546875,
-0.0033721923828125,
-0.007686614990234375,
0.007152557373046875,
-0.00457763671875,
-0.01447296142578125,
-0.00849151611328125,
0.043670654296875,
0.023040771484375,
-0.00939178466796875,
-0.0037860870361328125,
-0.00894927978515625,
-0.0248260498046875,
0.01873779296875,
-0.0077667236328125,
0.044403076171875,
-0.0277557373046875,
-0.0245361328125,
-0.056610107421875,
0.0029468536376953125,
0.045989990234375,
-0.02105712890625,
0.07501220703125,
0.04638671875,
-0.0364990234375,
0.00292205810546875,
-0.02587890625,
-0.005779266357421875,
-0.0318603515625,
0.0242156982421875,
-0.033111572265625,
-0.035308837890625,
0.056365966796875,
-0.0074005126953125,
0.01192474365234375,
0.0701904296875,
0.043731689453125,
-0.00101470947265625,
0.0897216796875,
0.0257110595703125,
-0.004436492919921875,
0.01554107666015625,
-0.06689453125,
0.01369476318359375,
-0.05364990234375,
-0.039093017578125,
-0.032989501953125,
-0.0258331298828125,
-0.04486083984375,
0.00009566545486450195,
0.016571044921875,
0.01226806640625,
-0.051025390625,
0.01256561279296875,
-0.052154541015625,
0.01715087890625,
0.05352783203125,
0.0203399658203125,
0.00881195068359375,
0.004734039306640625,
-0.02642822265625,
-0.01233673095703125,
-0.056121826171875,
-0.034515380859375,
0.09405517578125,
0.0229644775390625,
0.045623779296875,
-0.0042877197265625,
0.0596923828125,
0.011962890625,
0.0235137939453125,
-0.046600341796875,
0.026763916015625,
0.0082550048828125,
-0.071533203125,
-0.010833740234375,
-0.0196075439453125,
-0.04998779296875,
0.0264739990234375,
-0.020111083984375,
-0.053680419921875,
0.039459228515625,
0.023193359375,
-0.033660888671875,
0.039703369140625,
-0.035797119140625,
0.069580078125,
-0.005458831787109375,
-0.033416748046875,
-0.00803375244140625,
-0.047607421875,
0.0237579345703125,
0.009918212890625,
0.0044097900390625,
-0.00943756103515625,
0.023895263671875,
0.06494140625,
-0.050262451171875,
0.05072021484375,
-0.0240325927734375,
0.0279083251953125,
0.033721923828125,
-0.007701873779296875,
0.04254150390625,
0.0233154296875,
-0.01148223876953125,
0.0012502670288085938,
0.01082611083984375,
-0.046417236328125,
-0.031890869140625,
0.056610107421875,
-0.07830810546875,
-0.03497314453125,
-0.05645751953125,
-0.03338623046875,
0.002147674560546875,
0.0239715576171875,
0.044921875,
0.055511474609375,
0.0022125244140625,
0.026092529296875,
0.0455322265625,
-0.0005578994750976562,
0.03082275390625,
0.014007568359375,
-0.00978851318359375,
-0.052886962890625,
0.060455322265625,
-0.006824493408203125,
0.01503753662109375,
-0.00827789306640625,
0.00695037841796875,
-0.03094482421875,
-0.017974853515625,
-0.0343017578125,
0.01233673095703125,
-0.057525634765625,
-0.0263671875,
-0.043548583984375,
-0.0267791748046875,
-0.034149169921875,
-0.01508331298828125,
-0.035491943359375,
-0.023406982421875,
-0.03302001953125,
-0.01654052734375,
0.04150390625,
0.0311737060546875,
-0.00946044921875,
0.025634765625,
-0.03997802734375,
-0.00897979736328125,
0.0087432861328125,
0.0216217041015625,
0.006717681884765625,
-0.05340576171875,
-0.0153961181640625,
-0.0004398822784423828,
-0.0225830078125,
-0.052032470703125,
0.0482177734375,
-0.0060577392578125,
0.032989501953125,
0.044708251953125,
-0.0053863525390625,
0.0660400390625,
-0.004642486572265625,
0.056671142578125,
0.0284881591796875,
-0.052642822265625,
0.04205322265625,
-0.0164642333984375,
0.0225372314453125,
0.05364990234375,
0.04840087890625,
-0.03411865234375,
-0.009490966796875,
-0.08270263671875,
-0.0628662109375,
0.060089111328125,
0.0222015380859375,
-0.0025920867919921875,
0.00433349609375,
0.027191162109375,
-0.0234222412109375,
0.0258331298828125,
-0.0653076171875,
-0.050567626953125,
-0.028564453125,
-0.0252532958984375,
-0.004024505615234375,
-0.0175628662109375,
-0.01861572265625,
-0.05706787109375,
0.06640625,
0.007965087890625,
0.0220489501953125,
0.0270538330078125,
0.004436492919921875,
-0.0050811767578125,
0.00910186767578125,
0.039306640625,
0.060546875,
-0.044403076171875,
0.003337860107421875,
0.0185699462890625,
-0.032562255859375,
0.00955963134765625,
0.01049041748046875,
-0.024139404296875,
0.006465911865234375,
0.0251007080078125,
0.0682373046875,
0.003643035888671875,
-0.0171051025390625,
0.048004150390625,
0.0019893646240234375,
-0.034393310546875,
-0.0518798828125,
-0.0021915435791015625,
0.0006566047668457031,
0.0177001953125,
0.0193939208984375,
0.039825439453125,
0.005435943603515625,
-0.022918701171875,
0.006435394287109375,
0.0147857666015625,
-0.057098388671875,
-0.00786590576171875,
0.05877685546875,
-0.0022411346435546875,
-0.0092926025390625,
0.055450439453125,
-0.013763427734375,
-0.04302978515625,
0.0596923828125,
0.024383544921875,
0.05615234375,
-0.0165557861328125,
0.0007462501525878906,
0.0753173828125,
0.020263671875,
0.0010509490966796875,
0.0394287109375,
0.01873779296875,
-0.0243377685546875,
-0.00882720947265625,
-0.055694580078125,
-0.00799560546875,
0.031646728515625,
-0.07550048828125,
0.0301666259765625,
-0.036651611328125,
-0.03570556640625,
-0.00418853759765625,
0.01136016845703125,
-0.07470703125,
0.041961669921875,
-0.0029048919677734375,
0.0830078125,
-0.0731201171875,
0.044769287109375,
0.0577392578125,
-0.037506103515625,
-0.08050537109375,
-0.0203857421875,
-0.00514984130859375,
-0.046630859375,
0.0518798828125,
0.01416015625,
0.020172119140625,
0.0104522705078125,
-0.046142578125,
-0.06573486328125,
0.08880615234375,
-0.005878448486328125,
-0.044464111328125,
0.0200347900390625,
0.016571044921875,
0.0416259765625,
-0.01306915283203125,
0.035125732421875,
0.03411865234375,
0.0311737060546875,
-0.0010423660278320312,
-0.050567626953125,
0.007293701171875,
-0.032318115234375,
-0.0016431808471679688,
0.01995849609375,
-0.06732177734375,
0.0780029296875,
0.0023441314697265625,
0.01947021484375,
-0.005435943603515625,
0.053070068359375,
0.0219268798828125,
0.01611328125,
0.04095458984375,
0.07769775390625,
0.04681396484375,
-0.014007568359375,
0.0777587890625,
-0.044586181640625,
0.06842041015625,
0.0634765625,
0.0098419189453125,
0.054229736328125,
0.027984619140625,
-0.0217742919921875,
0.038055419921875,
0.060089111328125,
-0.00992584228515625,
0.0298004150390625,
0.0048065185546875,
-0.0252532958984375,
-0.03082275390625,
0.01190185546875,
-0.042022705078125,
0.0211334228515625,
0.01346588134765625,
-0.039306640625,
-0.019134521484375,
-0.00511932373046875,
0.004817962646484375,
-0.01462554931640625,
-0.03363037109375,
0.033233642578125,
-0.0139617919921875,
-0.0271148681640625,
0.05181884765625,
0.0012826919555664062,
0.03192138671875,
-0.037445068359375,
-0.0034542083740234375,
-0.01369476318359375,
0.0341796875,
-0.037078857421875,
-0.0599365234375,
0.01467132568359375,
-0.00020110607147216797,
-0.019683837890625,
0.01071929931640625,
0.04937744140625,
-0.017364501953125,
-0.061676025390625,
0.0034427642822265625,
0.0198516845703125,
0.009735107421875,
0.004459381103515625,
-0.0655517578125,
-0.0122528076171875,
0.010986328125,
-0.052032470703125,
-0.00016880035400390625,
0.02459716796875,
0.0015048980712890625,
0.039764404296875,
0.044464111328125,
-0.00507354736328125,
0.0070343017578125,
-0.0027599334716796875,
0.0830078125,
-0.049591064453125,
-0.046905517578125,
-0.0562744140625,
0.03851318359375,
-0.0255126953125,
-0.05963134765625,
0.057037353515625,
0.072998046875,
0.052276611328125,
-0.0084381103515625,
0.05572509765625,
-0.01537322998046875,
0.042236328125,
-0.0262908935546875,
0.04840087890625,
-0.047821044921875,
-0.0198974609375,
-0.01593017578125,
-0.07275390625,
-0.02056884765625,
0.0562744140625,
-0.04022216796875,
0.003314971923828125,
0.038055419921875,
0.0640869140625,
-0.0058135986328125,
0.0118255615234375,
-0.00263214111328125,
0.004669189453125,
0.01006317138671875,
0.0362548828125,
0.03826904296875,
-0.0531005859375,
0.03375244140625,
-0.054351806640625,
-0.01052093505859375,
-0.0159149169921875,
-0.046356201171875,
-0.074462890625,
-0.031707763671875,
-0.032562255859375,
-0.034515380859375,
-0.0074462890625,
0.08502197265625,
0.058685302734375,
-0.0626220703125,
-0.0192718505859375,
-0.0035800933837890625,
-0.0233154296875,
-0.0200653076171875,
-0.0198974609375,
0.05828857421875,
-0.00418853759765625,
-0.05682373046875,
-0.017791748046875,
-0.0026416778564453125,
0.0189208984375,
-0.01543426513671875,
-0.01415252685546875,
-0.0251007080078125,
-0.0124359130859375,
0.0264129638671875,
0.00946807861328125,
-0.036407470703125,
-0.02239990234375,
-0.01111602783203125,
-0.0154876708984375,
0.0227203369140625,
0.0225067138671875,
-0.03759765625,
0.024139404296875,
0.03424072265625,
0.027374267578125,
0.06243896484375,
0.012725830078125,
0.00461578369140625,
-0.051239013671875,
0.0322265625,
0.01140594482421875,
0.0252838134765625,
0.01111602783203125,
-0.0279998779296875,
0.04034423828125,
0.040130615234375,
-0.04498291015625,
-0.0567626953125,
-0.018768310546875,
-0.07598876953125,
0.00482940673828125,
0.0733642578125,
-0.0018053054809570312,
-0.036712646484375,
0.01020050048828125,
-0.020172119140625,
0.0142059326171875,
-0.0260162353515625,
0.035552978515625,
0.06463623046875,
-0.019775390625,
0.0006237030029296875,
-0.05364990234375,
0.045166015625,
0.028228759765625,
-0.046142578125,
-0.015960693359375,
0.025421142578125,
0.0360107421875,
0.017425537109375,
0.041351318359375,
-0.00756072998046875,
0.015411376953125,
0.01172637939453125,
0.0275421142578125,
-0.013580322265625,
-0.0139617919921875,
-0.0201263427734375,
0.006191253662109375,
0.0032711029052734375,
-0.0277252197265625
]
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.