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google-play-sentiment-analysis

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lucas-wa/google-play-sentiment-analysis

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  1. README.md +69 -0
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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: neuralmind/bert-base-portuguese-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: google-play-sentiment-analysis
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # google-play-sentiment-analysis
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+
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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: 1.1957
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+ - Accuracy: 0.495
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.4561 | 1.0 | 513 | 1.2817 | 0.4547 |
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+ | 1.2173 | 2.0 | 1026 | 1.2062 | 0.4907 |
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+ | 1.1137 | 3.0 | 1539 | 1.1957 | 0.495 |
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+ | 1.028 | 4.0 | 2052 | 1.2423 | 0.4903 |
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+ | 0.9541 | 5.0 | 2565 | 1.2519 | 0.483 |
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+ | 0.8827 | 6.0 | 3078 | 1.2847 | 0.485 |
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+ | 0.8353 | 7.0 | 3591 | 1.3275 | 0.4793 |
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+ | 0.7752 | 8.0 | 4104 | 1.3532 | 0.4893 |
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+ | 0.7351 | 9.0 | 4617 | 1.3674 | 0.483 |
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+ | 0.7373 | 10.0 | 5130 | 1.3706 | 0.486 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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