---
base_model: meta-llama/Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- generated_from_trainer
model-index:
- name: Llama-3.1-8B-Instruct-contracts-Finetuning
  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. -->

# Llama-3.1-8B-Instruct-contracts-Finetuning

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5752

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.0322        | 0.0024 | 500  | 5.8889          |
| 5.9047        | 0.0048 | 1000 | 5.7508          |
| 5.8849        | 0.0073 | 1500 | 5.7206          |
| 5.8508        | 0.0097 | 2000 | 5.6745          |
| 5.7946        | 0.0121 | 2500 | 5.6536          |
| 5.8142        | 0.0145 | 3000 | 5.6447          |
| 5.715         | 0.0170 | 3500 | 5.6192          |
| 5.7378        | 0.0194 | 4000 | 5.6052          |
| 5.702         | 0.0218 | 4500 | 5.5940          |
| 5.6464        | 0.0242 | 5000 | 5.5837          |
| 5.6911        | 0.0266 | 5500 | 5.5782          |
| 5.749         | 0.0291 | 6000 | 5.5752          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1