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binary_persian_sentiment_analysis

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: sentence-transformers/LaBSE
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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: binary_persian_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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+ # binary_persian_sentiment_analysis
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+
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+ This model is a fine-tuned version of [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5060
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+ - Accuracy: 0.8805
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+ - F1 Score: 0.8805
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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: 20
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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 | F1 Score |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|:--------:|
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+ | 0.5045 | 1.0 | 8359 | 0.5295 | 0.8816 | 0.8814 |
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+ | 0.4211 | 2.0 | 16718 | 0.6029 | 0.8837 | 0.8837 |
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+ | 0.3501 | 3.0 | 25077 | 0.5060 | 0.8805 | 0.8805 |
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+ | 0.2541 | 4.0 | 33436 | 0.7740 | 0.8762 | 0.8762 |
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+ | 0.2065 | 5.0 | 41795 | 0.8071 | 0.8746 | 0.8745 |
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+ | 0.1915 | 6.0 | 50154 | 0.8341 | 0.8805 | 0.8805 |
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+ | 0.137 | 7.0 | 58513 | 0.9235 | 0.8644 | 0.8644 |
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+ | 0.0605 | 8.0 | 66872 | 0.9695 | 0.8584 | 0.8584 |
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+ | 0.0405 | 9.0 | 75231 | 1.0090 | 0.8751 | 0.8751 |
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+ | 0.0712 | 10.0 | 83590 | 1.0134 | 0.8767 | 0.8767 |
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+ | 0.0295 | 11.0 | 91949 | 1.0266 | 0.8708 | 0.8709 |
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+ | 0.0704 | 12.0 | 100308 | 0.9940 | 0.8767 | 0.8767 |
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+ | 0.0233 | 13.0 | 108667 | 1.0747 | 0.8762 | 0.8762 |
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+ | 0.0153 | 14.0 | 117026 | 1.0747 | 0.8741 | 0.8741 |
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+ | 0.0245 | 15.0 | 125385 | 1.0027 | 0.8837 | 0.8837 |
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+ | 0.0618 | 16.0 | 133744 | 0.9939 | 0.8778 | 0.8778 |
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+ | 0.0087 | 17.0 | 142103 | 1.0448 | 0.8854 | 0.8853 |
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+ | 0.0174 | 18.0 | 150462 | 1.0339 | 0.8837 | 0.8838 |
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+ | 0.0185 | 19.0 | 158821 | 1.1171 | 0.8778 | 0.8778 |
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+ | 0.0075 | 20.0 | 167180 | 1.1022 | 0.8827 | 0.8827 |
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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 2.16.1
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+ - Tokenizers 0.15.0
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