metadata
license: mit
base_model: neuralmind/bert-large-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: LVI_bert-large-portuguese-cased
results: []
LVI_bert-large-portuguese-cased
This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6945
- Accuracy: 0.5
- F1: 0.0
- Precision: 0.0
- Recall: 0.0
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2141 | 1.0 | 3217 | 0.2055 | 0.9405 | 0.9423 | 0.9140 | 0.9724 |
| 0.7115 | 2.0 | 6434 | 0.6959 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.7041 | 3.0 | 9651 | 0.6931 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.7056 | 4.0 | 12868 | 0.6945 | 0.5 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2