
<!-- 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-case-12

This model is a fine-tuned version of [amr8ta/gpt2-case-25](https://huggingface.co/amr8ta/gpt2-case-25) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4168
- Accuracy: 0.8867

## 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: 1.5e-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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 44   | 0.4447          | 0.86     |
| No log        | 2.0   | 88   | 0.4168          | 0.8867   |
| No log        | 3.0   | 132  | 0.4203          | 0.88     |
| No log        | 4.0   | 176  | 0.4302          | 0.88     |
| No log        | 5.0   | 220  | 0.4739          | 0.8733   |
| No log        | 6.0   | 264  | 0.4493          | 0.8867   |
| No log        | 7.0   | 308  | 0.4630          | 0.9      |
| No log        | 8.0   | 352  | 0.4853          | 0.8867   |
| No log        | 9.0   | 396  | 0.5138          | 0.8867   |
| No log        | 10.0  | 440  | 0.4921          | 0.8867   |
| No log        | 11.0  | 484  | 0.4986          | 0.8867   |
| 0.1288        | 12.0  | 528  | 0.4993          | 0.8867   |


### 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": "amr8ta/gpt2-case-25", "model-index": [{"name": "gpt2-case-12", "results": []}]}
transformers tensorboard safetensors gpt2 text-classification generated_from_trainer base_model:amr8ta/gpt2-case-25 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us