---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: fine_tune_output
  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. -->

# fine_tune_output

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2902

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 100

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 5.061         | 7.2727  | 10   | 3.1055          |
| 3.6905        | 14.5455 | 20   | 2.6699          |
| 2.4714        | 21.8182 | 30   | 1.8229          |
| 0.9142        | 29.0909 | 40   | 1.8090          |
| 0.0188        | 36.3636 | 50   | 3.1047          |
| 0.0544        | 43.6364 | 60   | 3.8352          |
| 0.0316        | 50.9091 | 70   | 3.7350          |
| 0.0116        | 58.1818 | 80   | 3.7428          |
| 0.0005        | 65.4545 | 90   | 4.4955          |
| 0.0001        | 72.7273 | 100  | 4.2902          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3