Training complete

README.md

@@ -20,11 +20,11 @@ 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: 0.8316
-- Recall: 0.8346
-- F1: 0.8331
-- Accuracy: 0.9809
+- Loss: 0.0796
+- Precision: 0.7867
+- Recall: 0.7833
+- F1: 0.7850
+- Accuracy: 0.9751
 
 ## Model description
 
@@ -57,13 +57,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| No log        | 1.0   | 231  | 0.0984          | 0.7268    | 0.7679 | 0.7468 | 0.9691   |
+| No log        | 2.0   | 462  | 0.0796          | 0.7867    | 0.7833 | 0.7850 | 0.9751   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Sep05_14-45-25_dc810888a375/events.out.tfevents.1725547525.dc810888a375.3692.1

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+size 7021