Sentiment Fa
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README.md
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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.
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- Accuracy: 0.
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- F1: 0.
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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:
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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 |
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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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model.safetensors
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