---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2-classifier
  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. -->

# gpt2-classifier

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3035
- Accuracy: 0.8660
- F1: 0.7584

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log        | 0      | 0    | 4.5305          | 0.2536   | 0.4046 |
| No log        | 0.2020 | 79   | 0.4243          | 0.8055   | 0.6281 |
| No log        | 0.4041 | 158  | 0.3872          | 0.8213   | 0.6884 |
| No log        | 0.6061 | 237  | 0.3544          | 0.8545   | 0.7363 |
| No log        | 0.8082 | 316  | 0.3220          | 0.8588   | 0.7278 |
| No log        | 1.0102 | 395  | 0.3321          | 0.8516   | 0.7392 |
| No log        | 1.2123 | 474  | 0.3121          | 0.8746   | 0.7655 |
| 0.4499        | 1.4143 | 553  | 0.2934          | 0.8790   | 0.7717 |
| 0.4499        | 1.6164 | 632  | 0.3184          | 0.8602   | 0.7544 |
| 0.4499        | 1.8184 | 711  | 0.3035          | 0.8660   | 0.7584 |


### Framework versions

- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2