---
library_name: peft
base_model: Xenova/tiny-random-Phi3ForCausalLM
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 2971c015-87b8-4f07-97c0-fefb2c186f55
  results: []
---

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[<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>

# 2971c015-87b8-4f07-97c0-fefb2c186f55

This model is a fine-tuned version of [Xenova/tiny-random-Phi3ForCausalLM](https://huggingface.co/Xenova/tiny-random-Phi3ForCausalLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 10.2789

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 219

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0137 | 1    | 10.3801         |
| 10.3296       | 0.6873 | 50   | 10.3110         |
| 10.4092       | 1.3780 | 100  | 10.2934         |
| 10.3854       | 2.0687 | 150  | 10.2825         |
| 10.279        | 2.7560 | 200  | 10.2789         |


### Framework versions

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