antonioFlavio commited on
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google-play-sentiment-analysis

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 3.5035
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- - Accuracy: 0.5107
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-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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- | 1.18 | 1.0 | 1125 | 1.2287 | 0.4957 |
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- | 0.9342 | 2.0 | 2250 | 1.3080 | 0.5223 |
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- | 0.6743 | 3.0 | 3375 | 1.4724 | 0.5147 |
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- | 0.493 | 4.0 | 4500 | 1.8871 | 0.5113 |
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- | 0.3701 | 5.0 | 5625 | 2.4745 | 0.5183 |
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- | 0.275 | 6.0 | 6750 | 2.7261 | 0.5183 |
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- | 0.2115 | 7.0 | 7875 | 3.1310 | 0.5183 |
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- | 0.1521 | 8.0 | 9000 | 3.3735 | 0.5077 |
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- | 0.1442 | 9.0 | 10125 | 3.4553 | 0.5137 |
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- | 0.1189 | 10.0 | 11250 | 3.5035 | 0.5107 |
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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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