beto_sentiment_analysis_es-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of edumunozsala/beto_sentiment_analysis_es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9988
- F1: 0.5814
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: 1e-05
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9648 | 1.0 | 817 | 0.9710 | 0.5574 |
| 0.7876 | 2.0 | 1634 | 0.9699 | 0.5804 |
| 0.6933 | 3.0 | 2451 | 0.9988 | 0.5814 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3