metadata
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
model-index:
- name: finetune-BERT-squad
results: []
finetune-BERT-squad
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0687
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 1.4612 | 0.19 | 1000 | 1.3505 |
| 1.2999 | 0.37 | 2000 | 1.2518 |
| 1.2234 | 0.56 | 3000 | 1.1492 |
| 1.1824 | 0.74 | 4000 | 1.1181 |
| 1.1169 | 0.93 | 5000 | 1.0850 |
| 0.8933 | 1.11 | 6000 | 1.0925 |
| 0.9004 | 1.3 | 7000 | 1.0849 |
| 0.8706 | 1.49 | 8000 | 1.0976 |
| 0.8617 | 1.67 | 9000 | 1.0779 |
| 0.8756 | 1.86 | 10000 | 1.0687 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2