Fine-tuned BioGPT on ncbi-disease for BIO NER
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README.md
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base_model: microsoft/biogpt
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tags:
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- generated_from_trainer
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datasets:
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- ncbi_disease
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metrics:
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- precision
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- recall
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- accuracy
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model-index:
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- name: mlma_lab7
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: ncbi_disease
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type: ncbi_disease
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config: ncbi_disease
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split: validation
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args: ncbi_disease
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metrics:
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- name: Precision
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type: precision
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value: 0.4819148936170213
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- name: Recall
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type: recall
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value: 0.5756035578144854
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- name: F1
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type: f1
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value: 0.5246091488129705
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- name: Accuracy
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type: accuracy
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value: 0.9604906337352414
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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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# mlma_lab7
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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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base_model: microsoft/biogpt
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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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- accuracy
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model-index:
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- name: mlma_lab7
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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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# mlma_lab7
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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1364
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- Precision: 0.5215
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- Recall: 0.5210
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- F1: 0.5212
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- Accuracy: 0.9569
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## Model description
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model.safetensors
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runs/Apr13_01-36-22_b84241ad1cdb/events.out.tfevents.1744508183.b84241ad1cdb.1244.2
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special_tokens_map.json
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}
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training_args.bin
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