metadata
license: mit
tags:
- generated_from_trainer
datasets:
- harem
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-portuguese-cased_harem-selective-lowC-CRF-first-ner
results: []
bert-base-portuguese-cased_harem-selective-lowC-CRF-first-ner
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the harem dataset. It achieves the following results on the evaluation set:
- Loss: 0.0687
- Precision: 0.8030
- Recall: 0.8933
- F1: 0.8457
- Accuracy: 0.9748
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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0646 | 1.0 | 2517 | 0.0924 | 0.7822 | 0.8876 | 0.8316 | 0.9670 |
| 0.0263 | 2.0 | 5034 | 0.0644 | 0.7598 | 0.8708 | 0.8115 | 0.9685 |
| 0.0234 | 3.0 | 7551 | 0.0687 | 0.8030 | 0.8933 | 0.8457 | 0.9748 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1