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--- |
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language: |
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- en |
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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: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-ade-v2-classification |
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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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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-ade-v2-classification |
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This model is a fine-tuned version of [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the ade_corpus_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1982 |
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- Accuracy: 0.9611 |
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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: 1.8069489920382708e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 10 |
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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: 4 |
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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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| 0.1657 | 1.0 | 1176 | 0.1405 | 0.9511 | |
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| 0.1019 | 2.0 | 2352 | 0.1767 | 0.9575 | |
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| 0.055 | 3.0 | 3528 | 0.1982 | 0.9611 | |
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| 0.0424 | 4.0 | 4704 | 0.2038 | 0.9605 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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