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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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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: bert-fa-uncased-augmented-WithTokens |
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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-fa-uncased-augmented-WithTokens |
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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: 0.4364 |
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- Accuracy: 0.8259 |
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- F1: 0.8255 |
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- Precision: 0.8272 |
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- Recall: 0.8249 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.6041 | 1.0 | 986 | 0.4246 | 0.8174 | 0.8158 | 0.8160 | 0.8157 | |
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| 0.3503 | 2.0 | 1972 | 0.4364 | 0.8259 | 0.8255 | 0.8272 | 0.8249 | |
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| 0.2176 | 3.0 | 2958 | 0.5571 | 0.8248 | 0.8231 | 0.8260 | 0.8230 | |
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| 0.1321 | 4.0 | 3944 | 0.7621 | 0.8134 | 0.8120 | 0.8136 | 0.8117 | |
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### Framework versions |
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- Transformers 4.55.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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