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Sentiment Fa

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README.md CHANGED
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: dadashzadeh/roberta-sentiment-persian
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # Bert-Sentiment-Fa
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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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@@ -46,22 +46,17 @@ The following hyperparameters were used during training:
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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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  ### Training results
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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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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: HooshvareLab/bert-fa-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # Bert-Sentiment-Fa
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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: 1.0798
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+ - Accuracy: 0.5652
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+ - F1: 0.5901
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  ## Model description
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 52 | 1.0320 | 0.4130 | 0.2269 |
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+ | No log | 2.0 | 104 | 0.9651 | 0.4783 | 0.4406 |
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+ | No log | 3.0 | 156 | 1.0128 | 0.5435 | 0.5541 |
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+ | No log | 4.0 | 208 | 1.0869 | 0.5870 | 0.6025 |
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+ | No log | 5.0 | 260 | 1.0798 | 0.5652 | 0.5901 |
 
 
 
 
 
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  ### Framework versions
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