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# subCut-2023-1129

This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9784
- Accuracy: 0.4293

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.1672        | 1.0   | 15000 | 2.1644          | 0.3806   |
| 1.9714        | 2.0   | 30000 | 2.0339          | 0.4136   |
| 1.8502        | 3.0   | 45000 | 1.9784          | 0.4293   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "klue/roberta-small", "model-index": [{"name": "subCut-2023-1129", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:klue/roberta-small autotrain_compatible endpoints_compatible region:us