---
base_model: huggyllama/llama-13b
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-13b_alpaca-clean_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-13b_alpaca-clean_l0.0002_64

This model is a fine-tuned version of [huggyllama/llama-13b](https://huggingface.co/huggyllama/llama-13b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5226

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.1456        | 0.0003 | 1    | 2.3431          |
| 2.0148        | 0.0590 | 187  | 1.5488          |
| 1.2875        | 0.1179 | 374  | 1.5405          |
| 1.0668        | 0.1769 | 561  | 1.5543          |
| 1.8093        | 0.2359 | 748  | 1.4975          |
| 1.6438        | 0.2949 | 935  | 1.4835          |
| 1.2251        | 0.3538 | 1122 | 1.4810          |
| 1.0625        | 0.4128 | 1309 | 1.4741          |
| 1.8002        | 0.4718 | 1496 | 1.4496          |
| 1.5269        | 0.5307 | 1683 | 1.4526          |
| 1.1458        | 0.5897 | 1870 | 1.4545          |
| 1.0543        | 0.6487 | 2057 | 1.4612          |
| 2.2424        | 0.7077 | 2244 | 1.4442          |
| 1.593         | 0.7666 | 2431 | 1.4435          |
| 1.0416        | 0.8256 | 2618 | 1.4539          |
| 0.9933        | 0.8846 | 2805 | 1.4524          |
| 1.9771        | 0.9436 | 2992 | 1.4390          |
| 0.9435        | 1.0025 | 3179 | 1.4399          |
| 2.3091        | 1.0615 | 3366 | 1.4685          |
| 1.3242        | 1.1205 | 3553 | 1.4607          |
| 1.1381        | 1.1794 | 3740 | 1.4711          |
| 0.907         | 1.2384 | 3927 | 1.4860          |
| 1.752         | 1.2974 | 4114 | 1.4583          |
| 1.0621        | 1.3564 | 4301 | 1.4590          |
| 0.9417        | 1.4153 | 4488 | 1.4633          |
| 1.0226        | 1.4743 | 4675 | 1.4648          |
| 1.8375        | 1.5333 | 4862 | 1.4569          |
| 1.3047        | 1.5922 | 5049 | 1.4614          |
| 0.9083        | 1.6512 | 5236 | 1.4736          |
| 0.9209        | 1.7102 | 5423 | 1.4640          |
| 1.6807        | 1.7692 | 5610 | 1.4494          |
| 1.0549        | 1.8281 | 5797 | 1.4558          |
| 0.9171        | 1.8871 | 5984 | 1.4559          |
| 2.0487        | 1.9461 | 6171 | 1.4512          |
| 0.8636        | 2.0050 | 6358 | 1.4486          |
| 0.8722        | 2.0640 | 6545 | 1.5880          |
| 1.2758        | 2.1230 | 6732 | 1.5332          |
| 0.9294        | 2.1820 | 6919 | 1.5220          |
| 0.9638        | 2.2409 | 7106 | 1.5444          |
| 0.9522        | 2.2999 | 7293 | 1.5982          |
| 1.0788        | 2.3589 | 7480 | 1.5257          |
| 1.0903        | 2.4178 | 7667 | 1.5385          |
| 0.9291        | 2.4768 | 7854 | 1.5559          |
| 1.0212        | 2.5358 | 8041 | 1.5356          |
| 1.3065        | 2.5948 | 8228 | 1.5146          |
| 0.9102        | 2.6537 | 8415 | 1.5322          |
| 0.8117        | 2.7127 | 8602 | 1.5404          |
| 1.4213        | 2.7717 | 8789 | 1.5409          |
| 1.1398        | 2.8307 | 8976 | 1.5152          |
| 0.9868        | 2.8896 | 9163 | 1.5408          |
| 0.8449        | 2.9486 | 9350 | 1.5555          |


### 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