---
library_name: peft
license: apache-2.0
base_model: echarlaix/tiny-random-PhiForCausalLM
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 0c9d3f30-9631-46c4-b425-cf822b1efc06
  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>

# 0c9d3f30-9631-46c4-b425-cf822b1efc06

This model is a fine-tuned version of [echarlaix/tiny-random-PhiForCausalLM](https://huggingface.co/echarlaix/tiny-random-PhiForCausalLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7938

## 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        | 0.0002 | 1    | 6.9331          |
| 6.8569        | 0.0118 | 50   | 6.8651          |
| 6.8111        | 0.0235 | 100  | 6.8345          |
| 6.7904        | 0.0353 | 150  | 6.8203          |
| 6.7803        | 0.0471 | 200  | 6.8112          |
| 6.7838        | 0.0588 | 250  | 6.8051          |
| 6.7711        | 0.0706 | 300  | 6.7995          |
| 6.7743        | 0.0823 | 350  | 6.7966          |
| 6.7725        | 0.0941 | 400  | 6.7945          |
| 6.7662        | 0.1059 | 450  | 6.7936          |
| 6.7563        | 0.1176 | 500  | 6.7938          |


### Framework versions

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