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# gpt2-case-25

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3446
- Accuracy: 0.8667

## 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: 16
- eval_batch_size: 16
- seed: 224
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 44   | 0.5467          | 0.8067   |
| No log        | 2.0   | 88   | 0.5013          | 0.8267   |
| No log        | 3.0   | 132  | 0.3836          | 0.82     |
| No log        | 4.0   | 176  | 0.3446          | 0.8667   |
| No log        | 5.0   | 220  | 0.4319          | 0.82     |
| No log        | 6.0   | 264  | 0.4025          | 0.82     |
| No log        | 7.0   | 308  | 0.4042          | 0.8333   |
| No log        | 8.0   | 352  | 0.4388          | 0.84     |
| No log        | 9.0   | 396  | 0.4096          | 0.8467   |
| No log        | 10.0  | 440  | 0.4015          | 0.8733   |
| No log        | 11.0  | 484  | 0.4120          | 0.8867   |
| 0.2552        | 12.0  | 528  | 0.4691          | 0.8667   |
| 0.2552        | 13.0  | 572  | 0.4504          | 0.86     |
| 0.2552        | 14.0  | 616  | 0.4902          | 0.88     |
| 0.2552        | 15.0  | 660  | 0.4885          | 0.8733   |
| 0.2552        | 16.0  | 704  | 0.5220          | 0.88     |
| 0.2552        | 17.0  | 748  | 0.5162          | 0.8733   |
| 0.2552        | 18.0  | 792  | 0.5554          | 0.8733   |
| 0.2552        | 19.0  | 836  | 0.5926          | 0.8733   |
| 0.2552        | 20.0  | 880  | 0.5597          | 0.86     |
| 0.2552        | 21.0  | 924  | 0.5755          | 0.8733   |
| 0.2552        | 22.0  | 968  | 0.5596          | 0.8867   |
| 0.0947        | 23.0  | 1012 | 0.5752          | 0.88     |
| 0.0947        | 24.0  | 1056 | 0.5745          | 0.88     |
| 0.0947        | 25.0  | 1100 | 0.5722          | 0.88     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "gpt2-case-25", "results": []}]}
transformers tensorboard safetensors gpt2 text-classification generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us