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 [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2059
-- Precision: 0.4811
-- Recall: 0.4468
-- F1: 0.4633
-- Accuracy: 0.9329
+- Loss: 0.2644
+- Precision: 0.5331
+- Recall: 0.5170
+- F1: 0.5249
+- Accuracy: 0.9319
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log | 1.0 | 71 | 0.2327 | 0.3130 | 0.2534 | 0.2801 | 0.9173 |
-| No log | 2.0 | 142 | 0.2009 | 0.4039 | 0.3745 | 0.3886 | 0.9260 |
-| No log | 3.0 | 213 | 0.1973 | 0.4479 | 0.4302 | 0.4389 | 0.9287 |
-| No log | 4.0 | 284 | 0.2155 | 0.4223 | 0.4673 | 0.4437 | 0.9233 |
-| No log | 5.0 | 355 | 0.2059 | 0.4811 | 0.4468 | 0.4633 | 0.9329 |
+| No log | 1.0 | 71 | 0.2155 | 0.4953 | 0.4904 | 0.4929 | 0.9230 |
+| No log | 2.0 | 142 | 0.2250 | 0.5350 | 0.4910 | 0.5121 | 0.9314 |
+| No log | 3.0 | 213 | 0.2293 | 0.5373 | 0.5071 | 0.5218 | 0.9327 |
+| No log | 4.0 | 284 | 0.2374 | 0.5562 | 0.4978 | 0.5254 | 0.9344 |
+| No log | 5.0 | 355 | 0.2644 | 0.5331 | 0.5170 | 0.5249 | 0.9319 |
 
 
 ### Framework versions