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---
tags:
- generated_from_trainer
model-index:
- name: Baby-Llama-58M-RUN3_4
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. -->
# Baby-Llama-58M-RUN3_4
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1614
## 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: 0.00025
- 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: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 296.6382 | 1.0 | 12 | 255.9934 |
| 229.3247 | 2.0 | 24 | 211.9065 |
| 207.0496 | 3.0 | 36 | 181.8885 |
| 123.9346 | 4.0 | 48 | 109.3748 |
| 82.0349 | 5.0 | 60 | 72.1227 |
| 45.9392 | 6.0 | 72 | 39.7369 |
| 25.2634 | 7.0 | 84 | 22.4471 |
| 15.2842 | 8.0 | 96 | 13.8333 |
| 10.3515 | 9.0 | 108 | 10.2077 |
| 8.1678 | 10.0 | 120 | 7.8930 |
| 6.461 | 11.0 | 132 | 6.9546 |
| 6.073 | 12.0 | 144 | 6.3275 |
| 5.4812 | 13.0 | 156 | 5.9462 |
| 5.5237 | 14.0 | 168 | 5.6727 |
| 4.727 | 15.0 | 180 | 5.5723 |
| 4.6544 | 16.0 | 192 | 5.2316 |
| 4.641 | 17.0 | 204 | 5.2542 |
| 4.5579 | 18.0 | 216 | 5.1794 |
| 4.6136 | 19.0 | 228 | 4.9774 |
| 4.1043 | 20.0 | 240 | 4.9214 |
| 4.1177 | 21.0 | 252 | 4.8358 |
| 4.6799 | 22.0 | 264 | 4.7847 |
| 4.0522 | 23.0 | 276 | 4.7018 |
| 4.2287 | 24.0 | 288 | 4.6770 |
| 3.9668 | 25.0 | 300 | 4.6077 |
| 4.1524 | 26.0 | 312 | 4.6043 |
| 3.8744 | 27.0 | 324 | 4.5508 |
| 3.9389 | 28.0 | 336 | 4.4908 |
| 3.9329 | 29.0 | 348 | 4.4882 |
| 3.9034 | 30.0 | 360 | 4.4708 |
| 3.9221 | 31.0 | 372 | 4.4729 |
| 3.8269 | 32.0 | 384 | 4.3710 |
| 3.8344 | 33.0 | 396 | 4.3734 |
| 3.3988 | 34.0 | 408 | 4.2938 |
| 3.4335 | 35.0 | 420 | 4.3189 |
| 3.521 | 36.0 | 432 | 4.2749 |
| 3.5696 | 37.0 | 444 | 4.2773 |
| 3.6298 | 38.0 | 456 | 4.2541 |
| 3.6759 | 39.0 | 468 | 4.2371 |
| 3.6787 | 40.0 | 480 | 4.2151 |
| 3.3474 | 41.0 | 492 | 4.1932 |
| 3.5124 | 42.0 | 504 | 4.1978 |
| 3.1906 | 43.0 | 516 | 4.1859 |
| 3.4355 | 44.0 | 528 | 4.1770 |
| 3.3138 | 45.0 | 540 | 4.1743 |
| 3.6061 | 46.0 | 552 | 4.1742 |
| 3.8685 | 47.0 | 564 | 4.1653 |
| 3.4448 | 48.0 | 576 | 4.1635 |
| 3.5253 | 49.0 | 588 | 4.1623 |
| 3.6948 | 50.0 | 600 | 4.1614 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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