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distillbert-base-spanish-uncased-finetuned-suicidios
This model is a fine-tuned version of CenIA/distillbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2970
- Accuracy: 0.9483
- F1: 0.9483
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: 2
- eval_batch_size: 2
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3543 | 1.0 | 9618 | 0.2688 | 0.9422 | 0.9422 |
| 0.1726 | 2.0 | 19236 | 0.2970 | 0.9483 | 0.9483 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
