---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0328MP4
  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. -->

# V0328MP4

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: 2.1140

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1408        | 0.09  | 10   | 2.5415          |
| 5.4886        | 0.18  | 20   | 2.4963          |
| 4.5457        | 0.27  | 30   | 2.4110          |
| 4.1074        | 0.36  | 40   | 2.3242          |
| 3.5825        | 0.45  | 50   | 2.2528          |
| 3.1612        | 0.54  | 60   | 2.2006          |
| 2.8782        | 0.63  | 70   | 2.1606          |
| 2.5962        | 0.73  | 80   | 2.1360          |
| 2.7051        | 0.82  | 90   | 2.1230          |
| 2.5853        | 0.91  | 100  | 2.1162          |
| 2.6212        | 1.0   | 110  | 2.1140          |


### Framework versions

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