biogpt-mlma
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README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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- name: F1
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type: f1
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- name: Accuracy
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type: accuracy
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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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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the ncbi_disease dataset.
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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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- Accuracy: 0.
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## Model description
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metrics:
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- name: Precision
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type: precision
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value: 0.1320754716981132
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- name: Recall
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type: recall
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value: 0.005426356589147287
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- name: F1
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type: f1
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value: 0.010424422933730455
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- name: Accuracy
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type: accuracy
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value: 0.904621435594887
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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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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the ncbi_disease dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3256
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- Precision: 0.1321
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- Recall: 0.0054
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- F1: 0.0104
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- Accuracy: 0.9046
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## Model description
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model.safetensors
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runs/Apr12_21-43-05_gpuz02/events.out.tfevents.1744508598.gpuz02.2316379.0
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training_args.bin
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