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# mi_modelo_test_1

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: 0.6274
- F1: 0.7635

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6231        | 1.0   | 26   | 0.6274          | 0.7635 |
| 0.1           | 2.0   | 52   | 0.8851          | 0.7358 |
| 0.0076        | 3.0   | 78   | 1.0922          | 0.7221 |
| 0.0041        | 4.0   | 104  | 1.1844          | 0.7556 |
| 0.0034        | 5.0   | 130  | 1.1963          | 0.7505 |


### 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": "mi_modelo_test_1", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:pysentimiento/roberta-es-sentiment autotrain_compatible endpoints_compatible region:us