---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0410MP4
  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. -->

# V0410MP4

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1583

## 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: 0.003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3557        | 0.18  | 20   | 0.7940          |
| 0.2324        | 0.36  | 40   | 0.1738          |
| 0.1758        | 0.54  | 60   | 0.1631          |
| 0.1702        | 0.73  | 80   | 0.1592          |
| 0.1652        | 0.91  | 100  | 0.1590          |
| 0.1678        | 1.09  | 120  | 0.1593          |
| 0.1645        | 1.27  | 140  | 0.1589          |
| 0.1659        | 1.45  | 160  | 0.1587          |
| 0.1661        | 1.63  | 180  | 0.1583          |
| 0.162         | 1.81  | 200  | 0.1582          |
| 0.1673        | 1.99  | 220  | 0.1583          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1