| --- |
| license: mit |
| base_model: neuralmind/bert-base-portuguese-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: google-play-sentiment-analysis |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # google-play-sentiment-analysis |
|
|
| This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/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 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
