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--- |
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license: mit |
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base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext |
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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: ddi_42 |
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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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# ddi_42 |
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3300 |
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- Accuracy: 0.9547 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 256 |
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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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| No log | 1.0 | 791 | 0.1947 | 0.9471 | |
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| 0.1709 | 2.0 | 1582 | 0.2474 | 0.9527 | |
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| 0.0734 | 3.0 | 2373 | 0.2485 | 0.9475 | |
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| 0.0475 | 4.0 | 3164 | 0.2686 | 0.9499 | |
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| 0.0475 | 5.0 | 3955 | 0.3196 | 0.9475 | |
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| 0.0284 | 6.0 | 4746 | 0.3014 | 0.9527 | |
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| 0.0194 | 7.0 | 5537 | 0.3125 | 0.9523 | |
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| 0.0133 | 8.0 | 6328 | 0.3641 | 0.9491 | |
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| 0.0065 | 9.0 | 7119 | 0.3300 | 0.9547 | |
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| 0.0065 | 10.0 | 7910 | 0.3502 | 0.9543 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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