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--- |
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license: apache-2.0 |
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base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews |
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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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model-index: |
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- name: war_intent_detection_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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# war_intent_detection_fa |
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This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-clf-persiannews](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-clf-persiannews) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1913 |
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- Accuracy: 0.9300 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6751 | 1.0 | 805 | 0.2832 | 0.8974 | |
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| 0.2366 | 2.0 | 1610 | 0.2369 | 0.9146 | |
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| 0.2047 | 3.0 | 2415 | 0.1981 | 0.9271 | |
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| 0.1752 | 4.0 | 3220 | 0.2019 | 0.9287 | |
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| 0.1565 | 5.0 | 4025 | 0.2046 | 0.9220 | |
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| 0.1515 | 6.0 | 4830 | 0.2037 | 0.9271 | |
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| 0.1468 | 7.0 | 5635 | 0.1975 | 0.9282 | |
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| 0.1341 | 8.0 | 6440 | 0.1982 | 0.9284 | |
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| 0.1345 | 9.0 | 7245 | 0.1939 | 0.9293 | |
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| 0.135 | 10.0 | 8050 | 0.1913 | 0.9300 | |
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### Framework versions |
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- Transformers 4.43.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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