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test-beto-finetuned-ner
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4377
- Precision: 0.6861
- Recall: 0.7734
- F1: 0.7271
- Accuracy: 0.8798
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 206 | 0.4830 | 0.6042 | 0.6918 | 0.6450 | 0.8391 |
No log | 2.0 | 412 | 0.4348 | 0.6597 | 0.7555 | 0.7044 | 0.8744 |
0.3666 | 3.0 | 618 | 0.4377 | 0.6861 | 0.7734 | 0.7271 | 0.8798 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3