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--- |
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license: cc0-1.0 |
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base_model: bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12 |
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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: BlueBERT_JNLPBA_NER |
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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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# BlueBERT_JNLPBA_NER |
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This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1586 |
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- Precision: 0.8051 |
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- Recall: 0.8205 |
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- F1: 0.8128 |
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- Accuracy: 0.9473 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 3 |
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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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| 0.3151 | 1.0 | 582 | 0.1675 | 0.7937 | 0.7926 | 0.7932 | 0.9439 | |
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| 0.1639 | 2.0 | 1164 | 0.1618 | 0.8068 | 0.8053 | 0.8061 | 0.9470 | |
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| 0.143 | 3.0 | 1746 | 0.1586 | 0.8051 | 0.8205 | 0.8128 | 0.9473 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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