---
library_name: transformers
license: mit
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_phi1_5
  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. -->

# fine_tuned_phi1_5

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3498

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9275 | 4    | 5.3873          |
| No log        | 1.9275 | 8    | 5.1770          |
| 6.4196        | 2.9275 | 12   | 4.5702          |
| 6.4196        | 3.9275 | 16   | 3.1211          |
| 4.6448        | 4.9275 | 20   | 2.0151          |
| 4.6448        | 5.9275 | 24   | 0.5937          |
| 4.6448        | 6.9275 | 28   | 0.4527          |
| 0.9737        | 7.9275 | 32   | 0.4155          |
| 0.9737        | 8.9275 | 36   | 0.3759          |
| 0.4308        | 9.9275 | 40   | 0.3498          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0