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google-play-sentiment-analysis

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@@ -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: 1.4513
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- - Accuracy: 0.475
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  ## Model description
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@@ -43,15 +43,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 250 | 1.2596 | 0.4663 |
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- | 1.1909 | 2.0 | 500 | 1.2813 | 0.4843 |
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- | 1.1909 | 3.0 | 750 | 1.4513 | 0.475 |
 
 
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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: 3.1514
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+ - Accuracy: 0.4623
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 250 | 1.9720 | 0.4263 |
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+ | 0.518 | 2.0 | 500 | 2.1792 | 0.4647 |
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+ | 0.518 | 3.0 | 750 | 2.6638 | 0.4383 |
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+ | 0.2242 | 4.0 | 1000 | 2.9686 | 0.462 |
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+ | 0.2242 | 5.0 | 1250 | 3.1514 | 0.4623 |
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  ### Framework versions