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README.md
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# CAM_sentiment_model
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It achieves the following results on the evaluation set:
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- Loss: 0.9739
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- Accuracy: 0.5643
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## Model description
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## Training procedure
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### Training hyperparameters
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 2
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### Training results
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 326 | 1.0261 | 0.5482 |
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| 1.1125 | 2.0 | 652 | 0.9739 | 0.5643 |
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### Framework versions
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# CAM_sentiment_model
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More information needed
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## Model description
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## Training procedure
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More information needed
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### Training hyperparameters
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More information needed
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### Training results
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More information needed
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### Framework versions
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