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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 [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0549
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- - Accuracy: 0.4130
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- - F1: 0.2905
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 26 | 1.0480 | 0.4130 | 0.2522 |
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- | No log | 2.0 | 52 | 1.0572 | 0.4130 | 0.2522 |
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- | No log | 3.0 | 78 | 1.0568 | 0.3913 | 0.2232 |
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- | No log | 4.0 | 104 | 1.0601 | 0.3913 | 0.2418 |
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- | No log | 5.0 | 130 | 1.0565 | 0.3913 | 0.2566 |
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- | No log | 6.0 | 156 | 1.0561 | 0.3913 | 0.2684 |
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- | No log | 7.0 | 182 | 1.0562 | 0.4130 | 0.2905 |
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- | No log | 8.0 | 208 | 1.0557 | 0.3913 | 0.2684 |
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- | No log | 9.0 | 234 | 1.0550 | 0.4130 | 0.2905 |
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- | No log | 10.0 | 260 | 1.0549 | 0.4130 | 0.2905 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5224
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+ - Accuracy: 0.8
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+ - F1: 0.7972
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 135 | 0.7296 | 0.7292 | 0.6649 |
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+ | No log | 2.0 | 270 | 0.6285 | 0.7875 | 0.7794 |
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+ | No log | 3.0 | 405 | 0.5707 | 0.8 | 0.7931 |
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+ | 0.6461 | 4.0 | 540 | 0.5545 | 0.8 | 0.7936 |
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+ | 0.6461 | 5.0 | 675 | 0.5248 | 0.8125 | 0.8080 |
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+ | 0.6461 | 6.0 | 810 | 0.5166 | 0.8042 | 0.8001 |
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+ | 0.6461 | 7.0 | 945 | 0.5170 | 0.8042 | 0.8093 |
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+ | 0.3513 | 8.0 | 1080 | 0.5179 | 0.8042 | 0.8064 |
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+ | 0.3513 | 9.0 | 1215 | 0.5212 | 0.8 | 0.8006 |
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+ | 0.3513 | 10.0 | 1350 | 0.5224 | 0.8 | 0.7972 |
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  ### Framework versions
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