---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: phi-2-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi-2-classifier

This model is a fine-tuned version of [bigcode/starencoder](https://huggingface.co/bigcode/starencoder) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4538
- Accuracy: 0.875

## 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-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3098        | 1.0   | 1485 | 0.3670          | 0.89     |
| 0.4251        | 2.0   | 2970 | 0.3698          | 0.88     |
| 0.226         | 3.0   | 4455 | 0.4538          | 0.875    |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.3