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google-play-sentiment-analysis
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README.md
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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.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.
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| 0.
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| 0.
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### Framework versions
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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.
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It achieves the following results on the evaluation set:
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- Loss: 3.3877
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- Accuracy: 0.5328
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.2365 | 1.0 | 1275 | 1.1915 | 0.5056 |
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| 1.0717 | 2.0 | 2550 | 1.2020 | 0.5133 |
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| 0.8201 | 3.0 | 3825 | 1.3425 | 0.5017 |
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| 0.5824 | 4.0 | 5100 | 1.5890 | 0.5294 |
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| 0.4379 | 5.0 | 6375 | 1.9669 | 0.5128 |
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| 0.3143 | 6.0 | 7650 | 2.4700 | 0.5361 |
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| 0.2556 | 7.0 | 8925 | 2.9751 | 0.5211 |
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| 0.1924 | 8.0 | 10200 | 3.2435 | 0.5211 |
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| 0.1494 | 9.0 | 11475 | 3.3190 | 0.5278 |
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| 0.1293 | 10.0 | 12750 | 3.3877 | 0.5328 |
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### Framework versions
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model.safetensors
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runs/Dec11_03-28-51_a26e08a69c28/events.out.tfevents.1702265338.a26e08a69c28.534.0
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