---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
model-index:
- name: llama3-chat_10000_500
  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. -->

# llama3-chat_10000_500

This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co./unsloth/llama-3-8b-Instruct-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8491

## 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: 8
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.765         | 0.33  | 104  | 1.4841          |
| 1.5146        | 0.67  | 208  | 1.4604          |
| 1.4912        | 1.0   | 312  | 1.4545          |
| 1.3584        | 1.33  | 416  | 1.4698          |
| 1.358         | 1.66  | 520  | 1.4671          |
| 1.3483        | 2.0   | 624  | 1.4637          |
| 1.1105        | 2.33  | 728  | 1.5471          |
| 1.101         | 2.66  | 832  | 1.5512          |
| 1.1007        | 3.0   | 936  | 1.5522          |
| 0.8526        | 3.33  | 1040 | 1.7081          |
| 0.8445        | 3.66  | 1144 | 1.7156          |
| 0.8463        | 3.99  | 1248 | 1.7115          |
| 0.6865        | 4.33  | 1352 | 1.8423          |
| 0.6811        | 4.66  | 1456 | 1.8458          |
| 0.6859        | 4.99  | 1560 | 1.8491          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2