metadata
base_model: pysentimiento/roberta-es-sentiment
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mi_modelo_test_1
results: []
mi_modelo_test_1
This model is a fine-tuned version of 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