---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0413MP64
  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. -->

# V0413MP64

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: 0.0663

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.167         | 0.18  | 20   | 0.1474          |
| 0.1291        | 0.36  | 40   | 0.1067          |
| 0.1018        | 0.54  | 60   | 0.0841          |
| 0.0815        | 0.73  | 80   | 0.0842          |
| 0.0811        | 0.91  | 100  | 0.0827          |
| 0.0755        | 1.09  | 120  | 0.0736          |
| 0.0709        | 1.27  | 140  | 0.0736          |
| 0.0762        | 1.45  | 160  | 0.0692          |
| 0.0607        | 1.63  | 180  | 0.0677          |
| 0.0671        | 1.81  | 200  | 0.0666          |
| 0.0619        | 1.99  | 220  | 0.0663          |


### Framework versions

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