---
base_model: huggyllama/llama-7b
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-7b_oasst1_l0.0002_32-16-8-4-2
  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_32-16-8-4-2

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: 2.4365

## 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    | 1.6467          |
| 1.5031        | 0.3392  | 187  | 1.3133          |
| 1.1305        | 0.6783  | 374  | 1.3024          |
| 1.2813        | 1.0175  | 561  | 1.3088          |
| 1.1541        | 1.3566  | 748  | 1.3333          |
| 1.0665        | 1.6958  | 935  | 1.3310          |
| 0.6245        | 2.0349  | 1122 | 1.4157          |
| 0.808         | 2.3741  | 1309 | 1.4323          |
| 0.7045        | 2.7132  | 1496 | 1.5097          |
| 0.4423        | 3.0524  | 1683 | 1.6009          |
| 0.4282        | 3.3915  | 1870 | 1.5678          |
| 0.6079        | 3.7307  | 2057 | 1.6937          |
| 0.2882        | 4.0698  | 2244 | 1.8043          |
| 0.2995        | 4.4090  | 2431 | 1.7991          |
| 0.4094        | 4.7481  | 2618 | 1.7384          |
| 0.2117        | 5.0873  | 2805 | 1.9782          |
| 0.2571        | 5.4264  | 2992 | 1.9985          |
| 0.3058        | 5.7656  | 3179 | 1.8565          |
| 0.154         | 6.1047  | 3366 | 2.0782          |
| 0.2155        | 6.4439  | 3553 | 2.1139          |
| 0.1508        | 6.7830  | 3740 | 2.0258          |
| 0.0964        | 7.1222  | 3927 | 2.1266          |
| 0.1315        | 7.4613  | 4114 | 2.1538          |
| 0.1598        | 7.8005  | 4301 | 2.1381          |
| 0.1106        | 8.1397  | 4488 | 2.1491          |
| 0.0935        | 8.4788  | 4675 | 2.2179          |
| 0.1957        | 8.8180  | 4862 | 2.1993          |
| 0.1017        | 9.1571  | 5049 | 2.1894          |
| 0.1121        | 9.4963  | 5236 | 2.2152          |
| 0.1047        | 9.8354  | 5423 | 2.2572          |
| 0.1359        | 10.1746 | 5610 | 2.2288          |
| 0.0988        | 10.5137 | 5797 | 2.2110          |
| 0.0964        | 10.8529 | 5984 | 2.2737          |
| 0.0723        | 11.1920 | 6171 | 2.3120          |
| 0.1423        | 11.5312 | 6358 | 2.2633          |
| 0.0945        | 11.8703 | 6545 | 2.2472          |
| 0.0719        | 12.2095 | 6732 | 2.3867          |
| 0.0735        | 12.5486 | 6919 | 2.3091          |
| 0.1106        | 12.8878 | 7106 | 2.2937          |
| 0.0695        | 13.2269 | 7293 | 2.3760          |
| 0.078         | 13.5661 | 7480 | 2.3706          |
| 0.2388        | 13.9052 | 7667 | 2.2813          |
| 0.0911        | 14.2444 | 7854 | 2.3442          |
| 0.0833        | 14.5835 | 8041 | 2.3908          |
| 0.0894        | 14.9227 | 8228 | 2.3312          |
| 0.1405        | 15.2618 | 8415 | 2.2996          |
| 0.0967        | 15.6010 | 8602 | 2.3877          |
| 0.0763        | 15.9401 | 8789 | 2.3984          |
| 0.063         | 16.2793 | 8976 | 2.3779          |
| 0.0998        | 16.6185 | 9163 | 2.3717          |
| 0.0938        | 16.9576 | 9350 | 2.3968          |
| 0.063         | 17.2968 | 9537 | 2.4133          |
| 0.2187        | 17.6359 | 9724 | 2.3855          |
| 0.1012        | 17.9751 | 9911 | 2.4056          |


### 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