End of training

README.md

@@ -20,10 +20,10 @@ 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: nan
-- Precision: 0.9360
-- Recall: 0.9301
-- F1: 0.9330
-- Accuracy: 0.9700
+- Precision: 0.8950
+- Recall: 0.9045
+- F1: 0.8997
+- Accuracy: 0.9577
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log | 1.0 | 81 | nan | 0.9360 | 0.9301 | 0.9330 | 0.9700 |
-| No log | 2.0 | 162 | nan | 0.9226 | 0.9343 | 0.9284 | 0.9709 |
-| No log | 3.0 | 243 | nan | 0.9244 | 0.9322 | 0.9283 | 0.9690 |
-| No log | 4.0 | 324 | nan | 0.9319 | 0.9280 | 0.9299 | 0.9709 |
-| No log | 5.0 | 405 | nan | 0.9323 | 0.9343 | 0.9333 | 0.9719 |
-| No log | 6.0 | 486 | nan | 0.9375 | 0.9216 | 0.9295 | 0.9672 |
-| 0.0708 | 7.0 | 567 | nan | 0.9421 | 0.9301 | 0.9360 | 0.9709 |
-| 0.0708 | 8.0 | 648 | nan | 0.9358 | 0.9258 | 0.9308 | 0.9709 |
-| 0.0708 | 9.0 | 729 | nan | 0.9359 | 0.9280 | 0.9319 | 0.9709 |
-| 0.0708 | 10.0 | 810 | nan | 0.9375 | 0.9216 | 0.9295 | 0.9700 |
+| No log | 1.0 | 81 | nan | 0.8950 | 0.9045 | 0.8997 | 0.9577 |
+| No log | 2.0 | 162 | nan | 0.8815 | 0.8217 | 0.8505 | 0.9408 |
+| No log | 3.0 | 243 | nan | 0.8950 | 0.9045 | 0.8997 | 0.9596 |
+| No log | 4.0 | 324 | nan | 0.8730 | 0.8025 | 0.8363 | 0.9390 |
+| No log | 5.0 | 405 | nan | 0.9048 | 0.8875 | 0.8960 | 0.9587 |
+| No log | 6.0 | 486 | nan | 0.9030 | 0.9087 | 0.9058 | 0.9568 |
+| 0.136 | 7.0 | 567 | nan | 0.8961 | 0.8790 | 0.8875 | 0.9531 |
+| 0.136 | 8.0 | 648 | nan | 0.8894 | 0.9045 | 0.8968 | 0.9549 |
+| 0.136 | 9.0 | 729 | nan | 0.8921 | 0.8599 | 0.8757 | 0.9512 |
+| 0.136 | 10.0 | 810 | nan | 0.9079 | 0.9002 | 0.9041 | 0.9606 |
 
 
 ### Framework versions

model.safetensors

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runs/Jun06_23-16-53_ff67443e7c1b/events.out.tfevents.1717720968.ff67443e7c1b.45108.29

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