---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- generated_from_trainer
model-index:
- name: finetuned_llama3.1_modelv1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_llama3.1_modelv1

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5369

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 140  | 0.7694          |
| No log        | 2.0   | 280  | 0.7267          |
| No log        | 3.0   | 420  | 0.6674          |
| 0.8529        | 4.0   | 560  | 0.5697          |
| 0.8529        | 5.0   | 700  | 0.5502          |
| 0.8529        | 6.0   | 840  | 0.5446          |
| 0.8529        | 7.0   | 980  | 0.5411          |
| 0.5332        | 8.0   | 1120 | 0.5392          |
| 0.5332        | 9.0   | 1260 | 0.5357          |
| 0.5332        | 10.0  | 1400 | 0.5369          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1