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: 0.9429
-- Recall: 0.9449
-- F1: 0.9439
-- Accuracy: 0.9737
+- Precision: 0.9360
+- Recall: 0.9301
+- F1: 0.9330
+- Accuracy: 0.9700
 
 ## 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             | 0.9429    | 0.9449 | 0.9439 | 0.9737   |
-| No log        | 2.0   | 162  | nan             | 0.9198    | 0.9470 | 0.9332 | 0.9615   |
-| No log        | 3.0   | 243  | nan             | 0.9196    | 0.9449 | 0.9321 | 0.9653   |
-| No log        | 4.0   | 324  | nan             | 0.9379    | 0.9280 | 0.9329 | 0.9719   |
-| No log        | 5.0   | 405  | nan             | 0.9245    | 0.9343 | 0.9294 | 0.9690   |
-| No log        | 6.0   | 486  | nan             | 0.9450    | 0.9470 | 0.9460 | 0.9747   |
-| 0.0945        | 7.0   | 567  | nan             | 0.9446    | 0.9386 | 0.9416 | 0.9747   |
-| 0.0945        | 8.0   | 648  | nan             | 0.9189    | 0.9364 | 0.9276 | 0.9672   |
-| 0.0945        | 9.0   | 729  | nan             | 0.9245    | 0.9343 | 0.9294 | 0.9662   |
-| 0.0945        | 10.0  | 810  | nan             | 0.9407    | 0.9407 | 0.9407 | 0.9728   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Jun06_22-01-19_ff67443e7c1b/events.out.tfevents.1717712102.ff67443e7c1b.45108.8

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+size 10317

runs/Jun06_22-01-19_ff67443e7c1b/events.out.tfevents.1717712293.ff67443e7c1b.45108.9

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