mlmalab7

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.49363636363636365
+      value: 0.49953139643861294
     - name: Recall
       type: recall
-      value: 0.565625
+      value: 0.5552083333333333
     - name: F1
       type: f1
-      value: 0.5271844660194176
+      value: 0.5259003453379378
     - name: Accuracy
       type: accuracy
-      value: 0.9561134925494998
+      value: 0.9557460706266585
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the ncbi_disease dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1581
-- Precision: 0.4936
-- Recall: 0.5656
-- F1: 0.5272
-- Accuracy: 0.9561
+- Loss: 0.1537
+- Precision: 0.4995
+- Recall: 0.5552
+- F1: 0.5259
+- Accuracy: 0.9557
 
 ## Model description
 

model.safetensors

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training_args.bin

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