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afrodp95/bert-base-spanish-wwm-cased-finetuned-job-skills-ner
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0894
- Validation Loss: 0.1205
- Train Precision: 0.4356
- Train Recall: 0.5321
- Train F1: 0.4790
- Train Accuracy: 0.9561
- Epoch: 3
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 924, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.2975 | 0.1545 | 0.3661 | 0.3194 | 0.3411 | 0.9547 | 0 |
| 0.1355 | 0.1216 | 0.4282 | 0.4544 | 0.4409 | 0.9584 | 1 |
| 0.1055 | 0.1189 | 0.4506 | 0.5431 | 0.4925 | 0.9572 | 2 |
| 0.0894 | 0.1205 | 0.4356 | 0.5321 | 0.4790 | 0.9561 | 3 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
