metadata
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ner_produtos_catmat
results: []
ner_produtos_catmat
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset. O modelo faz parte do pipeline de sobrepreços e de serviços relacionados ao catmat. It achieves the following results on the evaluation set:
- Loss: 0.2107
- Precision: 0.8770
- Recall: 0.9103
- F1: 0.8934
- Accuracy: 0.9412
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3569 | 1.0 | 1189 | 0.2203 | 0.8637 | 0.8896 | 0.8764 | 0.9363 |
| 0.1759 | 2.0 | 2378 | 0.2107 | 0.8770 | 0.9103 | 0.8934 | 0.9412 |
| 0.1369 | 3.0 | 3567 | 0.2136 | 0.8773 | 0.9110 | 0.8938 | 0.9414 |
| 0.1114 | 4.0 | 4756 | 0.2406 | 0.8819 | 0.9184 | 0.8998 | 0.9397 |
| 0.0894 | 5.0 | 5945 | 0.2642 | 0.8903 | 0.9131 | 0.9015 | 0.9428 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1