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--- |
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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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- accuracy |
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- f1 |
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model-index: |
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- name: Bert-Sentiment-Fa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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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 [HooshvareLab/bert-fa-base-uncased](https://huggingface.co./HooshvareLab/bert-fa-base-uncased) on the Neshan Sentiment dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4558 |
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- Accuracy: 0.8549 |
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- F1: 0.7877 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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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 | 143 | 0.6143 | 0.8078 | 0.6887 | |
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| No log | 2.0 | 286 | 0.4310 | 0.8392 | 0.7556 | |
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| No log | 3.0 | 429 | 0.4002 | 0.8627 | 0.8037 | |
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| 0.5214 | 4.0 | 572 | 0.3933 | 0.8588 | 0.7984 | |
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| 0.5214 | 5.0 | 715 | 0.4046 | 0.8588 | 0.7945 | |
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| 0.5214 | 6.0 | 858 | 0.4169 | 0.8588 | 0.7990 | |
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| 0.2054 | 7.0 | 1001 | 0.4345 | 0.8549 | 0.7848 | |
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| 0.2054 | 8.0 | 1144 | 0.4277 | 0.8627 | 0.8001 | |
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| 0.2054 | 9.0 | 1287 | 0.4509 | 0.8588 | 0.7918 | |
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| 0.2054 | 10.0 | 1430 | 0.4558 | 0.8549 | 0.7877 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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