Sentiment Fa
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README.md
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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.
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- Accuracy: 0.
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- F1: 0.
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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 |
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| No log | 2.0 |
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| No log | 3.0 |
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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: 0.4345
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- Accuracy: 0.8627
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- F1: 0.8098
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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 | 143 | 0.6861 | 0.7412 | 0.6297 |
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| No log | 2.0 | 286 | 0.4557 | 0.8510 | 0.7951 |
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| No log | 3.0 | 429 | 0.3941 | 0.8627 | 0.8116 |
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| 0.5612 | 4.0 | 572 | 0.3894 | 0.8627 | 0.8081 |
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| 0.5612 | 5.0 | 715 | 0.4092 | 0.8588 | 0.8071 |
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| 0.5612 | 6.0 | 858 | 0.3987 | 0.8627 | 0.8077 |
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| 0.2275 | 7.0 | 1001 | 0.4105 | 0.8784 | 0.8264 |
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| 0.2275 | 8.0 | 1144 | 0.4192 | 0.8627 | 0.8071 |
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| 0.2275 | 9.0 | 1287 | 0.4305 | 0.8667 | 0.8113 |
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| 0.2275 | 10.0 | 1430 | 0.4345 | 0.8627 | 0.8098 |
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### Framework versions
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model.safetensors
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runs/Sep05_10-10-22_20cbc104b23f/events.out.tfevents.1725531047.20cbc104b23f.1361.1
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