---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0402MP4
  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. -->

# V0402MP4

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: 0.1715

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5867        | 0.09  | 10   | 2.4416          |
| 2.2588        | 0.18  | 20   | 1.9249          |
| 1.7114        | 0.27  | 30   | 1.3589          |
| 1.2427        | 0.36  | 40   | 0.9778          |
| 0.8962        | 0.45  | 50   | 0.6311          |
| 0.5757        | 0.54  | 60   | 0.3253          |
| 0.3476        | 0.63  | 70   | 0.2216          |
| 0.2674        | 0.73  | 80   | 0.1883          |
| 0.2391        | 0.82  | 90   | 0.1766          |
| 0.2301        | 0.91  | 100  | 0.1724          |
| 0.2267        | 1.0   | 110  | 0.1715          |


### Framework versions

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