---
base_model: huggyllama/llama-7b
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-7b_oasst1_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_oasst1_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: 2.6145

## 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: 10000

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.5015        | 0.0018  | 1    | 1.7367          |
| 1.5123        | 0.3392  | 187  | 1.3207          |
| 1.1391        | 0.6783  | 374  | 1.3086          |
| 1.4068        | 1.0175  | 561  | 1.3091          |
| 1.2847        | 1.3566  | 748  | 1.3037          |
| 1.2433        | 1.6958  | 935  | 1.3003          |
| 0.9507        | 2.0349  | 1122 | 1.3159          |
| 1.0924        | 2.3741  | 1309 | 1.3710          |
| 0.9754        | 2.7132  | 1496 | 1.3433          |
| 0.858         | 3.0524  | 1683 | 1.3880          |
| 0.8205        | 3.3915  | 1870 | 1.3864          |
| 0.9249        | 3.7307  | 2057 | 1.4946          |
| 0.6185        | 4.0698  | 2244 | 1.5166          |
| 0.7531        | 4.4090  | 2431 | 1.4576          |
| 0.9268        | 4.7481  | 2618 | 1.4874          |
| 0.2016        | 5.0873  | 2805 | 1.6889          |
| 0.4437        | 5.4264  | 2992 | 1.6356          |
| 0.818         | 5.7656  | 3179 | 1.5275          |
| 0.5957        | 6.1047  | 3366 | 1.8285          |
| 0.2364        | 6.4439  | 3553 | 1.8515          |
| 0.3734        | 6.7830  | 3740 | 1.7053          |
| 0.3691        | 7.1222  | 3927 | 1.8442          |
| 0.4452        | 7.4613  | 4114 | 1.9495          |
| 0.2076        | 7.8005  | 4301 | 1.9195          |
| 0.2793        | 8.1397  | 4488 | 1.9103          |
| 0.2388        | 8.4788  | 4675 | 1.9957          |
| 0.4627        | 8.8180  | 4862 | 2.0253          |
| 0.1041        | 9.1571  | 5049 | 1.9997          |
| 0.1822        | 9.4963  | 5236 | 2.0561          |
| 0.242         | 9.8354  | 5423 | 2.1230          |
| 0.1277        | 10.1746 | 5610 | 2.1026          |
| 0.1238        | 10.5137 | 5797 | 2.1111          |
| 0.1503        | 10.8529 | 5984 | 2.2355          |
| 0.1341        | 11.1920 | 6171 | 2.2269          |
| 0.1374        | 11.5312 | 6358 | 2.2022          |
| 0.1162        | 11.8703 | 6545 | 2.3055          |
| 0.1062        | 12.2095 | 6732 | 2.3849          |
| 0.1457        | 12.5486 | 6919 | 2.2853          |
| 0.1185        | 12.8878 | 7106 | 2.3576          |
| 0.0897        | 13.2269 | 7293 | 2.4654          |
| 0.1202        | 13.5661 | 7480 | 2.3938          |
| 0.1729        | 13.9052 | 7667 | 2.3956          |
| 0.083         | 14.2444 | 7854 | 2.4934          |
| 0.0805        | 14.5835 | 8041 | 2.5021          |
| 0.1386        | 14.9227 | 8228 | 2.4270          |
| 0.1107        | 15.2618 | 8415 | 2.5474          |
| 0.0821        | 15.6010 | 8602 | 2.5688          |
| 0.0774        | 15.9401 | 8789 | 2.5323          |
| 0.0953        | 16.2793 | 8976 | 2.5760          |
| 0.0841        | 16.6185 | 9163 | 2.5870          |
| 0.0784        | 16.9576 | 9350 | 2.5858          |
| 0.0673        | 17.2968 | 9537 | 2.5586          |
| 0.131         | 17.6359 | 9724 | 2.5801          |
| 0.0789        | 17.9751 | 9911 | 2.6012          |


### 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