Training complete

README.md

@@ -21,11 +21,11 @@ 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: 0.0676
-- Precision: 0.8088
-- Recall: 0.8196
-- F1: 0.8142
-- Accuracy: 0.9796
+- Loss: 0.0849
+- Precision: 0.7712
+- Recall: 0.7700
+- F1: 0.7706
+- Accuracy: 0.9738
 
 ## Model description
 
@@ -58,13 +58,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 231  | 0.0876          | 0.7650    | 0.7897 | 0.7771 | 0.9734   |
-| No log        | 2.0   | 462  | 0.0676          | 0.8088    | 0.8196 | 0.8142 | 0.9796   |
+| No log        | 1.0   | 231  | 0.0991          | 0.7455    | 0.7544 | 0.7499 | 0.9701   |
+| No log        | 2.0   | 462  | 0.0849          | 0.7712    | 0.7700 | 0.7706 | 0.9738   |
 
 
 ### 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_14-55-30_dc810888a375/events.out.tfevents.1725548130.dc810888a375.3692.3

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