bert-base-spanish-wwm-uncased-finetuned-imdb-spanish
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the tesis dataset. It achieves the following results on the evaluation set:
- Loss: 5.0087
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 4.7540 |
| No log | 2.0 | 2 | 4.7894 |
| No log | 3.0 | 3 | 4.4417 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1