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---
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: 1.1957
- Accuracy: 0.495
## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4561 | 1.0 | 513 | 1.2817 | 0.4547 |
| 1.2173 | 2.0 | 1026 | 1.2062 | 0.4907 |
| 1.1137 | 3.0 | 1539 | 1.1957 | 0.495 |
| 1.028 | 4.0 | 2052 | 1.2423 | 0.4903 |
| 0.9541 | 5.0 | 2565 | 1.2519 | 0.483 |
| 0.8827 | 6.0 | 3078 | 1.2847 | 0.485 |
| 0.8353 | 7.0 | 3591 | 1.3275 | 0.4793 |
| 0.7752 | 8.0 | 4104 | 1.3532 | 0.4893 |
| 0.7351 | 9.0 | 4617 | 1.3674 | 0.483 |
| 0.7373 | 10.0 | 5130 | 1.3706 | 0.486 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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