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google-play-sentiment-analysis

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bert
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google-play-sentiment-analysis

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jan07_18-08-03_597f983f089b/events.out.tfevents.1704650891.597f983f089b.127.0 +3 -0
  4. runs/Jan07_19-54-02_597f983f089b/events.out.tfevents.1704657243.597f983f089b.851.0 +3 -0
  5. training_args.bin +1 -1
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: 1.5489
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- - Accuracy: 0.5245
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2.5e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 1.0972 | 1.0 | 10625 | 1.0835 | 0.5356 |
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- | 1.0084 | 2.0 | 21250 | 1.1163 | 0.5313 |
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- | 0.8658 | 3.0 | 31875 | 1.1971 | 0.5328 |
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- | 0.7153 | 4.0 | 42500 | 1.3433 | 0.5264 |
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- | 0.6015 | 5.0 | 53125 | 1.5489 | 0.5245 |
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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: 1.4174
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+ - Accuracy: 0.5309
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2.5e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.1052 | 1.0 | 5313 | 1.0804 | 0.5383 |
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+ | 1.0051 | 2.0 | 10626 | 1.0840 | 0.5425 |
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+ | 0.8599 | 3.0 | 15939 | 1.1426 | 0.5398 |
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+ | 0.7222 | 4.0 | 21252 | 1.2653 | 0.5331 |
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+ | 0.615 | 5.0 | 26565 | 1.4174 | 0.5309 |
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  ### Framework versions
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