---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: phi_2_amazon
  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. -->

# phi_2_amazon

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: 1.6451
- Accuracy: 0.5659
- F1 Macro: 0.4655
- F1 Micro: 0.5659

## 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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
| 3.2062        | 0.13  | 50   | 3.1866          | 0.0922   | 0.0634   | 0.0922   |
| 2.9492        | 0.26  | 100  | 2.9088          | 0.1528   | 0.1081   | 0.1528   |
| 2.6945        | 0.39  | 150  | 2.6944          | 0.2286   | 0.1693   | 0.2286   |
| 2.457         | 0.53  | 200  | 2.4137          | 0.3373   | 0.2529   | 0.3373   |
| 2.0566        | 0.66  | 250  | 2.0552          | 0.4499   | 0.3541   | 0.4499   |
| 1.7723        | 0.79  | 300  | 1.7765          | 0.5264   | 0.4225   | 0.5264   |
| 1.7695        | 0.92  | 350  | 1.6451          | 0.5659   | 0.4655   | 0.5659   |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2