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# modelaso_test

This model is a fine-tuned version of [pysentimiento/roberta-es-sentiment](https://huggingface.co/pysentimiento/roberta-es-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0206
- F1: 0.8165

## 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0007        | 1.0   | 21   | 2.5890          | 0.7191 |
| 0.0357        | 2.0   | 42   | 1.9822          | 0.8070 |
| 0.0001        | 3.0   | 63   | 2.0206          | 0.8165 |
| 0.0           | 4.0   | 84   | 2.2104          | 0.7580 |
| 0.0           | 5.0   | 105  | 2.2600          | 0.7580 |
| 0.0           | 6.0   | 126  | 2.2585          | 0.7580 |
| 0.0           | 7.0   | 147  | 2.2720          | 0.7580 |
| 0.0           | 8.0   | 168  | 2.2812          | 0.7580 |
| 0.0           | 9.0   | 189  | 2.2841          | 0.7580 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "pysentimiento/roberta-es-sentiment", "model-index": [{"name": "modelaso_test", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:pysentimiento/roberta-es-sentiment autotrain_compatible endpoints_compatible region:us