---
library_name: peft
license: apache-2.0
base_model: JackFram/llama-68m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3b3fa2d5-5b01-4479-9447-d2c53d0f40b6
  results: []
---

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should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 3b3fa2d5-5b01-4479-9447-d2c53d0f40b6

This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6811

## 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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0001 | 1    | 5.5038          |
| 3.408         | 0.0042 | 50   | 3.4438          |
| 3.0626        | 0.0084 | 100  | 2.9485          |
| 2.8832        | 0.0127 | 150  | 2.9219          |
| 2.8748        | 0.0169 | 200  | 2.8083          |
| 2.9119        | 0.0211 | 250  | 2.8442          |
| 2.6523        | 0.0253 | 300  | 2.7347          |
| 2.7253        | 0.0295 | 350  | 2.7128          |
| 2.5942        | 0.0338 | 400  | 2.7093          |
| 2.72          | 0.0380 | 450  | 2.6901          |
| 3.0129        | 0.0422 | 500  | 2.6811          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1