---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2_classifier_MMLU_Pro
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2_classifier_MMLU_Pro

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5280
- Accuracy: 0.8695
- F1: 0.8691

## 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.1111        | 1.0   | 968  | 0.5542          | 0.8260   | 0.8231 |
| 0.3669        | 2.0   | 1936 | 0.4217          | 0.8673   | 0.8671 |
| 0.1922        | 3.0   | 2904 | 0.4459          | 0.8756   | 0.8751 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.17.0
- Tokenizers 0.15.2