File size: 3,949 Bytes
10cf3a3 970b973 10cf3a3 970b973 10cf3a3 970b973 10cf3a3 970b973 10cf3a3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfDelimiter
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. -->
# Se124M10KInfDelimiter
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:
- Loss: 0.5435
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3814 | 1.0 | 225 | 0.9747 |
| 0.2215 | 2.0 | 450 | 0.7053 |
| 0.1876 | 3.0 | 675 | 0.6494 |
| 0.1711 | 4.0 | 900 | 0.6211 |
| 0.1655 | 5.0 | 1125 | 0.6091 |
| 0.1611 | 6.0 | 1350 | 0.6025 |
| 0.1577 | 7.0 | 1575 | 0.5935 |
| 0.1553 | 8.0 | 1800 | 0.5883 |
| 0.154 | 9.0 | 2025 | 0.5816 |
| 0.1507 | 10.0 | 2250 | 0.5820 |
| 0.152 | 11.0 | 2475 | 0.5749 |
| 0.1487 | 12.0 | 2700 | 0.5773 |
| 0.1493 | 13.0 | 2925 | 0.5708 |
| 0.1457 | 14.0 | 3150 | 0.5685 |
| 0.1459 | 15.0 | 3375 | 0.5670 |
| 0.1442 | 16.0 | 3600 | 0.5670 |
| 0.1468 | 17.0 | 3825 | 0.5643 |
| 0.1444 | 18.0 | 4050 | 0.5608 |
| 0.1424 | 19.0 | 4275 | 0.5586 |
| 0.1439 | 20.0 | 4500 | 0.5606 |
| 0.1446 | 21.0 | 4725 | 0.5572 |
| 0.1428 | 22.0 | 4950 | 0.5575 |
| 0.1422 | 23.0 | 5175 | 0.5554 |
| 0.14 | 24.0 | 5400 | 0.5542 |
| 0.1395 | 25.0 | 5625 | 0.5545 |
| 0.1418 | 26.0 | 5850 | 0.5535 |
| 0.1393 | 27.0 | 6075 | 0.5504 |
| 0.1417 | 28.0 | 6300 | 0.5514 |
| 0.1419 | 29.0 | 6525 | 0.5516 |
| 0.1392 | 30.0 | 6750 | 0.5501 |
| 0.1403 | 31.0 | 6975 | 0.5492 |
| 0.1403 | 32.0 | 7200 | 0.5484 |
| 0.1414 | 33.0 | 7425 | 0.5476 |
| 0.1411 | 34.0 | 7650 | 0.5491 |
| 0.1379 | 35.0 | 7875 | 0.5467 |
| 0.1376 | 36.0 | 8100 | 0.5468 |
| 0.1393 | 37.0 | 8325 | 0.5454 |
| 0.1376 | 38.0 | 8550 | 0.5454 |
| 0.1388 | 39.0 | 8775 | 0.5459 |
| 0.1377 | 40.0 | 9000 | 0.5452 |
| 0.1409 | 41.0 | 9225 | 0.5447 |
| 0.1402 | 42.0 | 9450 | 0.5442 |
| 0.1401 | 43.0 | 9675 | 0.5445 |
| 0.1381 | 44.0 | 9900 | 0.5441 |
| 0.1371 | 45.0 | 10125 | 0.5444 |
| 0.1379 | 46.0 | 10350 | 0.5440 |
| 0.1369 | 47.0 | 10575 | 0.5437 |
| 0.1387 | 48.0 | 10800 | 0.5437 |
| 0.1379 | 49.0 | 11025 | 0.5438 |
| 0.1364 | 50.0 | 11250 | 0.5435 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |