---
base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
library_name: peft
license: llama3.1
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: big_cc_run-FineLlama-3.1-8B
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# big_cc_run-FineLlama-3.1-8B

This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7310

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6386        | 0.6010 | 2000 | 1.6279          |
| 1.4331        | 1.2019 | 4000 | 1.6245          |
| 1.4318        | 1.8029 | 6000 | 1.6134          |
| 1.1633        | 2.4038 | 8000 | 1.7310          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1