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Sentiment Fa

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README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dadashzadeh/roberta-sentiment-persian](https://huggingface.co/dadashzadeh/roberta-sentiment-persian) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3240
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- - Accuracy: 0.8375
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- - F1: 0.8225
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  ## Model description
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@@ -40,7 +40,7 @@ More information needed
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 270 | 0.6400 | 0.8292 | 0.8140 |
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- | 0.256 | 2.0 | 540 | 0.8620 | 0.8083 | 0.7919 |
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- | 0.256 | 3.0 | 810 | 0.9867 | 0.8375 | 0.8239 |
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- | 0.1045 | 4.0 | 1080 | 1.0124 | 0.8375 | 0.8213 |
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- | 0.1045 | 5.0 | 1350 | 1.0423 | 0.825 | 0.8135 |
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- | 0.0397 | 6.0 | 1620 | 1.3452 | 0.8292 | 0.8136 |
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- | 0.0397 | 7.0 | 1890 | 1.1964 | 0.8333 | 0.8192 |
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- | 0.0119 | 8.0 | 2160 | 1.3196 | 0.8292 | 0.8140 |
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- | 0.0119 | 9.0 | 2430 | 1.3148 | 0.8292 | 0.8138 |
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- | 0.0043 | 10.0 | 2700 | 1.3240 | 0.8375 | 0.8225 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dadashzadeh/roberta-sentiment-persian](https://huggingface.co/dadashzadeh/roberta-sentiment-persian) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4259
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+ - Accuracy: 0.825
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+ - F1: 0.8145
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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: 3e-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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 270 | 1.0387 | 0.7917 | 0.7822 |
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+ | 0.2072 | 2.0 | 540 | 0.8945 | 0.825 | 0.8185 |
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+ | 0.2072 | 3.0 | 810 | 0.9836 | 0.8208 | 0.7983 |
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+ | 0.0871 | 4.0 | 1080 | 1.2439 | 0.8125 | 0.7994 |
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+ | 0.0871 | 5.0 | 1350 | 1.3258 | 0.8125 | 0.8016 |
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+ | 0.0281 | 6.0 | 1620 | 1.4928 | 0.8083 | 0.7910 |
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+ | 0.0281 | 7.0 | 1890 | 1.4261 | 0.8208 | 0.8054 |
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+ | 0.0207 | 8.0 | 2160 | 1.4747 | 0.825 | 0.8107 |
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+ | 0.0207 | 9.0 | 2430 | 1.4136 | 0.825 | 0.8145 |
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+ | 0.0035 | 10.0 | 2700 | 1.4259 | 0.825 | 0.8145 |
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  ### Framework versions
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