Training complete

README.md

@@ -21,9 +21,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0618
-- Precision: 0.8313
-- Recall: 0.8344
-- F1: 0.8329
+- Precision: 0.8316
+- Recall: 0.8346
+- F1: 0.8331
 - Accuracy: 0.9809
 
 ## Model description
@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 231  | 0.0879          | 0.7575    | 0.8070 | 0.7815 | 0.9737   |
-| No log        | 2.0   | 462  | 0.0618          | 0.8313    | 0.8344 | 0.8329 | 0.9809   |
+| No log        | 1.0   | 231  | 0.0878          | 0.7579    | 0.8072 | 0.7818 | 0.9737   |
+| No log        | 2.0   | 462  | 0.0618          | 0.8316    | 0.8346 | 0.8331 | 0.9809   |
 
 
 ### Framework versions

runs/Sep05_11-55-41_83295d15965e/events.out.tfevents.1725537342.83295d15965e.5325.1

@@ -1,3 +1,3 @@
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+size 7021