metadata
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: google-play-sentiment-analysis
results: []
google-play-sentiment-analysis
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: 1.4174
- Accuracy: 0.5309
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: 2.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1052 | 1.0 | 5313 | 1.0804 | 0.5383 |
| 1.0051 | 2.0 | 10626 | 1.0840 | 0.5425 |
| 0.8599 | 3.0 | 15939 | 1.1426 | 0.5398 |
| 0.7222 | 4.0 | 21252 | 1.2653 | 0.5331 |
| 0.615 | 5.0 | 26565 | 1.4174 | 0.5309 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0