---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0320MP2
  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. -->

# V0320MP2

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: 0.1222

## 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: 0.0003
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5867        | 0.09  | 10   | 2.4416          |
| 2.2588        | 0.18  | 20   | 1.9249          |
| 1.7112        | 0.27  | 30   | 1.3582          |
| 1.2358        | 0.36  | 40   | 0.9648          |
| 0.8554        | 0.45  | 50   | 0.5703          |
| 0.4962        | 0.54  | 60   | 0.2624          |
| 0.2702        | 0.63  | 70   | 0.1760          |
| 0.2066        | 0.73  | 80   | 0.1524          |
| 0.1811        | 0.82  | 90   | 0.1424          |
| 0.1714        | 0.91  | 100  | 0.1379          |
| 0.1628        | 1.0   | 110  | 0.1350          |
| 0.1565        | 1.09  | 120  | 0.1331          |
| 0.155         | 1.18  | 130  | 0.1316          |
| 0.1554        | 1.27  | 140  | 0.1302          |
| 0.1558        | 1.36  | 150  | 0.1289          |
| 0.148         | 1.45  | 160  | 0.1276          |
| 0.1467        | 1.54  | 170  | 0.1266          |
| 0.1511        | 1.63  | 180  | 0.1257          |
| 0.1448        | 1.72  | 190  | 0.1250          |
| 0.1391        | 1.81  | 200  | 0.1244          |
| 0.1414        | 1.9   | 210  | 0.1240          |
| 0.1421        | 1.99  | 220  | 0.1236          |
| 0.1449        | 2.08  | 230  | 0.1232          |
| 0.1412        | 2.18  | 240  | 0.1229          |
| 0.1393        | 2.27  | 250  | 0.1227          |
| 0.1401        | 2.36  | 260  | 0.1225          |
| 0.1456        | 2.45  | 270  | 0.1223          |
| 0.1376        | 2.54  | 280  | 0.1223          |
| 0.1369        | 2.63  | 290  | 0.1222          |
| 0.1422        | 2.72  | 300  | 0.1222          |
| 0.1421        | 2.81  | 310  | 0.1221          |
| 0.1442        | 2.9   | 320  | 0.1221          |
| 0.1432        | 2.99  | 330  | 0.1222          |


### Framework versions

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