---
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_50000_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_50000_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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7378

## 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: 16
- 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.7748        | 0.128  | 100  | 1.4928          |
| 1.5097        | 0.256  | 200  | 1.4743          |
| 1.5122        | 0.384  | 300  | 1.4623          |
| 1.4924        | 0.512  | 400  | 1.4609          |
| 1.485         | 0.64   | 500  | 1.4526          |
| 1.4779        | 0.768  | 600  | 1.4511          |
| 1.4728        | 0.896  | 700  | 1.4446          |
| 1.4476        | 1.024  | 800  | 1.4512          |
| 1.3725        | 1.152  | 900  | 1.4558          |
| 1.3747        | 1.28   | 1000 | 1.4560          |
| 1.3735        | 1.408  | 1100 | 1.4548          |
| 1.3717        | 1.536  | 1200 | 1.4499          |
| 1.3694        | 1.6640 | 1300 | 1.4526          |
| 1.3698        | 1.792  | 1400 | 1.4542          |
| 1.3701        | 1.92   | 1500 | 1.4512          |
| 1.3004        | 2.048  | 1600 | 1.4977          |
| 1.1904        | 2.176  | 1700 | 1.5075          |
| 1.1977        | 2.304  | 1800 | 1.5041          |
| 1.1888        | 2.432  | 1900 | 1.5094          |
| 1.1885        | 2.56   | 2000 | 1.5024          |
| 1.1989        | 2.6880 | 2100 | 1.5039          |
| 1.1905        | 2.816  | 2200 | 1.5046          |
| 1.1914        | 2.944  | 2300 | 1.5077          |
| 1.0764        | 3.072  | 2400 | 1.6027          |
| 0.9757        | 3.2    | 2500 | 1.6227          |
| 0.9768        | 3.328  | 2600 | 1.6228          |
| 0.9795        | 3.456  | 2700 | 1.6225          |
| 0.9775        | 3.584  | 2800 | 1.6190          |
| 0.9781        | 3.7120 | 2900 | 1.6164          |
| 0.981         | 3.84   | 3000 | 1.6199          |
| 0.9812        | 3.968  | 3100 | 1.6254          |
| 0.8731        | 4.096  | 3200 | 1.7307          |
| 0.8376        | 4.224  | 3300 | 1.7343          |
| 0.8352        | 4.352  | 3400 | 1.7398          |
| 0.8429        | 4.48   | 3500 | 1.7357          |
| 0.8431        | 4.608  | 3600 | 1.7386          |
| 0.8383        | 4.736  | 3700 | 1.7380          |
| 0.8375        | 4.864  | 3800 | 1.7376          |
| 0.842         | 4.992  | 3900 | 1.7378          |


### Framework versions

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