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# roberta-base-bne-finetuned-detests-ini

This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9922
- Accuracy: 0.8576

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3505        | 1.0   | 153  | 0.3533          | 0.8380   |
| 0.3031        | 2.0   | 306  | 0.3637          | 0.8363   |
| 0.0623        | 3.0   | 459  | 0.6493          | 0.8560   |
| 0.0011        | 4.0   | 612  | 0.8077          | 0.8642   |
| 0.0003        | 5.0   | 765  | 0.9070          | 0.8625   |
| 0.0002        | 6.0   | 918  | 0.9381          | 0.8625   |
| 0.0002        | 7.0   | 1071 | 0.9621          | 0.8592   |
| 0.0001        | 8.0   | 1224 | 0.9787          | 0.8592   |
| 0.0001        | 9.0   | 1377 | 0.9888          | 0.8576   |
| 0.0001        | 10.0  | 1530 | 0.9922          | 0.8576   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BSC-TeMU/roberta-base-bne", "model-index": [{"name": "roberta-base-bne-finetuned-detests-ini", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:BSC-TeMU/roberta-base-bne license:apache-2.0 autotrain_compatible endpoints_compatible region:us