---
library_name: peft
base_model: Xenova/tiny-random-Phi3ForCausalLM
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e6d36ddb-3f9f-40b8-8b3b-0573ff1f4733
  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>

# e6d36ddb-3f9f-40b8-8b3b-0573ff1f4733

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: 10.2934

## 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: 0.000214
- 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    | 10.3815         |
| 10.305        | 0.0186 | 50   | 10.3118         |
| 10.2855       | 0.0372 | 100  | 10.3043         |
| 10.2703       | 0.0558 | 150  | 10.2991         |
| 10.2745       | 0.0744 | 200  | 10.2969         |
| 10.2673       | 0.0930 | 250  | 10.2949         |
| 10.2685       | 0.1116 | 300  | 10.2937         |
| 10.2669       | 0.1302 | 350  | 10.2936         |
| 10.281        | 0.1488 | 400  | 10.2931         |
| 10.2758       | 0.1674 | 450  | 10.2933         |
| 10.2771       | 0.1860 | 500  | 10.2934         |


### Framework versions

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