---
library_name: peft
base_model: unsloth/llama-3.2-1b-unsloth-bnb-4bit
tags:
- unsloth
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [unsloth/llama-3.2-1b-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-1b-unsloth-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.2083

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 13.3929       | 1.0   | 43   | 7.2656          |
| 11.4271       | 2.0   | 86   | 7.2669          |
| 11.0609       | 3.0   | 129  | 7.3441          |
| 10.097        | 4.0   | 172  | 7.6927          |
| 8.2179        | 5.0   | 215  | 7.7197          |
| 7.1093        | 6.0   | 258  | 7.6223          |
| 6.3082        | 7.0   | 301  | 7.5638          |
| 5.8958        | 8.0   | 344  | 7.4709          |
| 5.7789        | 9.0   | 387  | 7.3977          |
| 5.5157        | 10.0  | 430  | 7.3469          |
| 5.3691        | 11.0  | 473  | 7.3023          |
| 5.4559        | 12.0  | 516  | 7.2700          |
| 5.3126        | 13.0  | 559  | 7.2285          |
| 5.2435        | 14.0  | 602  | 7.2138          |
| 5.3684        | 15.0  | 645  | 7.2083          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0