---
base_model: huggyllama/llama-7b
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-7b_alpaca_l0.0002_64
  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. -->

# llama-7b_alpaca_l0.0002_64

This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8634

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6644        | 0.0003 | 1    | 2.9705          |
| 2.6972        | 0.0587 | 187  | 1.9034          |
| 1.8541        | 0.1174 | 374  | 1.8795          |
| 1.2478        | 0.1761 | 561  | 1.8640          |
| 1.8178        | 0.2348 | 748  | 1.8499          |
| 2.5147        | 0.2935 | 935  | 1.8168          |
| 1.4811        | 0.3522 | 1122 | 1.8192          |
| 1.5617        | 0.4108 | 1309 | 1.8117          |
| 2.6811        | 0.4695 | 1496 | 1.8032          |
| 1.9665        | 0.5282 | 1683 | 1.7964          |
| 1.5309        | 0.5869 | 1870 | 1.7978          |
| 1.5708        | 0.6456 | 2057 | 1.8058          |
| 2.2185        | 0.7043 | 2244 | 1.7870          |
| 2.6575        | 0.7630 | 2431 | 1.7815          |
| 1.6179        | 0.8217 | 2618 | 1.7880          |
| 1.4937        | 0.8804 | 2805 | 1.7864          |
| 2.2623        | 0.9391 | 2992 | 1.7782          |
| 2.4709        | 0.9978 | 3179 | 1.7754          |
| 1.9605        | 1.0565 | 3366 | 1.7927          |
| 1.5008        | 1.1151 | 3553 | 1.7958          |
| 1.4912        | 1.1738 | 3740 | 1.8099          |
| 1.9176        | 1.2325 | 3927 | 1.8007          |
| 1.5569        | 1.2912 | 4114 | 1.7962          |
| 1.3717        | 1.3499 | 4301 | 1.8071          |
| 1.5241        | 1.4086 | 4488 | 1.8020          |
| 2.1042        | 1.4673 | 4675 | 1.7964          |
| 1.6643        | 1.5260 | 4862 | 1.7947          |
| 1.3815        | 1.5847 | 5049 | 1.7994          |
| 2.5619        | 1.6434 | 5236 | 1.7989          |
| 1.7651        | 1.7021 | 5423 | 1.7948          |
| 1.4931        | 1.7608 | 5610 | 1.7908          |
| 1.5089        | 1.8195 | 5797 | 1.7957          |
| 1.768         | 1.8781 | 5984 | 1.7989          |
| 1.769         | 1.9368 | 6171 | 1.7915          |
| 1.5345        | 1.9955 | 6358 | 1.7887          |
| 1.2575        | 2.0542 | 6545 | 1.8514          |
| 1.1761        | 2.1129 | 6732 | 1.8809          |
| 1.4524        | 2.1716 | 6919 | 1.8932          |
| 1.5745        | 2.2303 | 7106 | 1.8655          |
| 1.1251        | 2.2890 | 7293 | 1.8609          |
| 1.2381        | 2.3477 | 7480 | 1.8901          |
| 1.7963        | 2.4064 | 7667 | 1.8743          |
| 1.4293        | 2.4651 | 7854 | 1.8580          |
| 1.3278        | 2.5238 | 8041 | 1.8687          |
| 1.2364        | 2.5824 | 8228 | 1.9165          |
| 1.5239        | 2.6411 | 8415 | 1.8834          |
| 1.3108        | 2.6998 | 8602 | 1.8617          |
| 1.2084        | 2.7585 | 8789 | 1.8702          |
| 1.3279        | 2.8172 | 8976 | 1.8786          |
| 1.7506        | 2.8759 | 9163 | 1.8734          |
| 1.4208        | 2.9346 | 9350 | 1.8601          |
| 1.2449        | 2.9933 | 9537 | 1.8668          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1