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nominal-groups-recognition-bert-base-spanish-wwm-cased
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the charqican/spanish_nominal_groups_conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2772
- Ng Precision: 0.7140
- Ng Recall: 0.7695
- Ng F1: 0.7407
- Ng Number: 3198
- Overall Precision: 0.7140
- Overall Recall: 0.7695
- Overall F1: 0.7407
- Overall Accuracy: 0.8993
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: 13
- 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 | Ng Precision | Ng Recall | Ng F1 | Ng Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3988 | 1.0 | 228 | 0.2792 | 0.7108 | 0.7577 | 0.7335 | 3198 | 0.7108 | 0.7577 | 0.7335 | 0.8935 |
| 0.2257 | 2.0 | 456 | 0.2772 | 0.7140 | 0.7695 | 0.7407 | 3198 | 0.7140 | 0.7695 | 0.7407 | 0.8993 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
