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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: tiny_focal_v2_label |
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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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# tiny_focal_v2_label |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0558 |
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- Precision: 0.6979 |
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- Recall: 0.6747 |
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- F1: 0.6861 |
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- Accuracy: 0.9513 |
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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: 3e-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: 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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.0661 | 1.0 | 5561 | 0.0616 | 0.6850 | 0.6202 | 0.6510 | 0.9457 | |
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| 0.0613 | 2.0 | 11122 | 0.0587 | 0.6952 | 0.6351 | 0.6638 | 0.9480 | |
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| 0.0596 | 3.0 | 16683 | 0.0577 | 0.6814 | 0.6679 | 0.6746 | 0.9485 | |
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| 0.0555 | 4.0 | 22244 | 0.0567 | 0.6855 | 0.6693 | 0.6773 | 0.9492 | |
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| 0.0543 | 5.0 | 27805 | 0.0560 | 0.6966 | 0.6657 | 0.6808 | 0.9503 | |
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| 0.0529 | 6.0 | 33366 | 0.0558 | 0.7060 | 0.6587 | 0.6816 | 0.9510 | |
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| 0.052 | 7.0 | 38927 | 0.0552 | 0.7009 | 0.6662 | 0.6831 | 0.9510 | |
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| 0.0506 | 8.0 | 44488 | 0.0559 | 0.6921 | 0.6783 | 0.6852 | 0.9508 | |
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| 0.0501 | 9.0 | 50049 | 0.0556 | 0.6991 | 0.6716 | 0.6851 | 0.9512 | |
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| 0.0491 | 10.0 | 55610 | 0.0558 | 0.6979 | 0.6747 | 0.6861 | 0.9513 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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