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End of training

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  1. README.md +4 -4
  2. model.safetensors +1 -1
README.md CHANGED
@@ -26,13 +26,13 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.5969696969696969
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  - name: Recall
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  type: recall
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  value: 0.5412087912087912
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  - name: F1
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  type: f1
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- value: 0.5677233429394811
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  - name: Accuracy
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  type: accuracy
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  value: 0.8274946921443737
@@ -46,9 +46,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: nan
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- - Precision: 0.5970
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  - Recall: 0.5412
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- - F1: 0.5677
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  - Accuracy: 0.8275
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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: 0.569364161849711
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  - name: Recall
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  type: recall
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  value: 0.5412087912087912
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  - name: F1
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  type: f1
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+ value: 0.5549295774647887
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  - name: Accuracy
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  type: accuracy
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  value: 0.8274946921443737
 
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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: nan
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+ - Precision: 0.5694
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  - Recall: 0.5412
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+ - F1: 0.5549
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  - Accuracy: 0.8275
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  ## Model description
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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