bert-large-portuguese-cased_ft-multilple-choice-enem-sample
This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.1667
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6509 | 1.0 | 1382 | 1.6094 | 0.2210 |
| 1.6376 | 2.0 | 2764 | 1.6094 | 0.1848 |
| 1.6335 | 3.0 | 4146 | 1.6094 | 0.1667 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for douglasrolins/bert-large-portuguese-cased_ft-multilple-choice-enem-sample
Base model
neuralmind/bert-large-portuguese-cased