---
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_QA-test
  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_QA-test

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: 2.0283

## 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: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0046        | 0.2928 | 100  | 1.8727          |
| 1.7686        | 0.5857 | 200  | 1.8637          |
| 1.6753        | 0.8785 | 300  | 1.8871          |
| 1.5211        | 1.1713 | 400  | 1.9180          |
| 1.4003        | 1.4641 | 500  | 1.9352          |
| 1.3533        | 1.7570 | 600  | 1.9609          |
| 1.2794        | 2.0498 | 700  | 2.0143          |
| 1.1736        | 2.3426 | 800  | 2.0222          |
| 1.1609        | 2.6354 | 900  | 2.0301          |
| 1.1577        | 2.9283 | 1000 | 2.0283          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1