Model save
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: llama3
|
| 4 |
+
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
| 5 |
+
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: train_cb_1757340191
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# train_cb_1757340191
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.1643
|
| 21 |
+
- Num Input Tokens Seen: 356456
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 4
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 123
|
| 44 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 47 |
+
- num_epochs: 10.0
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|
| 52 |
+
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
|
| 53 |
+
| 0.8637 | 0.5088 | 29 | 0.5433 | 20064 |
|
| 54 |
+
| 0.2282 | 1.0175 | 58 | 0.2346 | 37832 |
|
| 55 |
+
| 0.1669 | 1.5263 | 87 | 0.2458 | 57288 |
|
| 56 |
+
| 0.0698 | 2.0351 | 116 | 0.1708 | 74520 |
|
| 57 |
+
| 0.6367 | 2.5439 | 145 | 0.1745 | 93080 |
|
| 58 |
+
| 0.1197 | 3.0526 | 174 | 0.1617 | 111928 |
|
| 59 |
+
| 0.2465 | 3.5614 | 203 | 0.1476 | 131160 |
|
| 60 |
+
| 0.1638 | 4.0702 | 232 | 0.1464 | 150056 |
|
| 61 |
+
| 0.0107 | 4.5789 | 261 | 0.1360 | 167208 |
|
| 62 |
+
| 0.0856 | 5.0877 | 290 | 0.1542 | 186160 |
|
| 63 |
+
| 0.0062 | 5.5965 | 319 | 0.1584 | 206000 |
|
| 64 |
+
| 0.1789 | 6.1053 | 348 | 0.1645 | 224064 |
|
| 65 |
+
| 0.0373 | 6.6140 | 377 | 0.1678 | 243840 |
|
| 66 |
+
| 0.0026 | 7.1228 | 406 | 0.1604 | 261504 |
|
| 67 |
+
| 0.1333 | 7.6316 | 435 | 0.1662 | 280352 |
|
| 68 |
+
| 0.0041 | 8.1404 | 464 | 0.1668 | 299344 |
|
| 69 |
+
| 0.2603 | 8.6491 | 493 | 0.1665 | 318672 |
|
| 70 |
+
| 0.0191 | 9.1579 | 522 | 0.1650 | 337480 |
|
| 71 |
+
| 0.0748 | 9.6667 | 551 | 0.1643 | 356456 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- PEFT 0.15.2
|
| 77 |
+
- Transformers 4.51.3
|
| 78 |
+
- Pytorch 2.8.0+cu128
|
| 79 |
+
- Datasets 3.6.0
|
| 80 |
+
- Tokenizers 0.21.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 819328
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f32e6d10d8f12f37c028e22e2c59f5f6630ee2c5d3428c066a58a28c6daf901
|
| 3 |
size 819328
|