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google-play-sentiment-analysis

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google-play-sentiment-analysis

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  1. README.md +16 -9
  2. model.safetensors +1 -1
  3. runs/Dec06_14-46-08_98c6fd32adaf/events.out.tfevents.1701873976.98c6fd32adaf.462.1 +3 -0
  4. runs/Dec06_14-50-45_98c6fd32adaf/events.out.tfevents.1701874257.98c6fd32adaf.462.2 +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: 1.3465
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- - Accuracy: 0.449
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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: 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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  - 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 | 125 | 1.2999 | 0.411 |
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- | No log | 2.0 | 250 | 1.2944 | 0.444 |
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- | No log | 3.0 | 375 | 1.3465 | 0.449 |
 
 
 
 
 
 
 
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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: 3.5035
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+ - Accuracy: 0.5107
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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: 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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  - 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: 10
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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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+ | 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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