metadata
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-portuguese-cased_ft-multilple-choice-enem-sample
results: []
bert-base-portuguese-cased_ft-multilple-choice-enem-sample
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: 2.5998
- Accuracy: 0.4022
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 346 | 1.3529 | 0.4457 |
| 1.3051 | 2.0 | 692 | 1.7823 | 0.4275 |
| 0.5312 | 3.0 | 1038 | 2.3728 | 0.3986 |
| 0.5312 | 4.0 | 1384 | 2.5998 | 0.4022 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0