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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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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: fine-tuned-marBERT_latest |
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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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# fine-tuned-marBERT_latest |
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This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1243 |
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- Accuracy: 0.9712 |
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- Precision: 0.9730 |
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- Recall: 0.9836 |
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- F1: 0.9783 |
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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: 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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.1558 | 1.0 | 56232 | 0.1159 | 0.9693 | 0.9734 | 0.9802 | 0.9768 | |
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| 0.1245 | 2.0 | 112464 | 0.1427 | 0.9696 | 0.9724 | 0.9817 | 0.9770 | |
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| 0.1061 | 3.0 | 168696 | 0.1262 | 0.9716 | 0.9760 | 0.9810 | 0.9785 | |
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| 0.0925 | 4.0 | 224928 | 0.1243 | 0.9712 | 0.9730 | 0.9836 | 0.9783 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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