distilbert-base-spanish-uncased-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9562
- F1: 0.5689
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9838 | 1.0 | 875 | 0.9730 | 0.5339 |
| 0.903 | 2.0 | 1750 | 0.9562 | 0.5689 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3