---
library_name: peft
base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 9eb7c03b-5f54-4c10-89f5-7d18d5b90118
  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. -->

[<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>

# 9eb7c03b-5f54-4c10-89f5-7d18d5b90118

This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 10.3529

## 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: 0.000208
- 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        | 0.0004 | 1    | 10.3759         |
| 10.3612       | 0.0182 | 50   | 10.3642         |
| 10.3606       | 0.0365 | 100  | 10.3606         |
| 10.3554       | 0.0547 | 150  | 10.3574         |
| 10.3516       | 0.0730 | 200  | 10.3555         |
| 10.3511       | 0.0912 | 250  | 10.3545         |
| 10.3519       | 0.1095 | 300  | 10.3539         |
| 10.3531       | 0.1277 | 350  | 10.3534         |
| 10.3496       | 0.1460 | 400  | 10.3532         |
| 10.3515       | 0.1642 | 450  | 10.3531         |
| 10.3497       | 0.1824 | 500  | 10.3529         |


### Framework versions

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