Training in progress epoch 19

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0836
-- Validation Loss: 0.3762
-- Train Precision: 0.6377
-- Train Recall: 0.7426
-- Train F1: 0.6862
-- Train Accuracy: 0.9001
-- Epoch: 16
+- Train Loss: 0.0693
+- Validation Loss: 0.3774
+- Train Precision: 0.6399
+- Train Recall: 0.7384
+- Train F1: 0.6856
+- Train Accuracy: 0.9030
+- Epoch: 19
 
 ## Model description
 
@@ -64,6 +64,9 @@ The following hyperparameters were used during training:
 | 0.0945     | 0.3668          | 0.6494          | 0.7384       | 0.6910   | 0.9049         | 14    |
 | 0.0880     | 0.3704          | 0.6510          | 0.7321       | 0.6892   | 0.9038         | 15    |
 | 0.0836     | 0.3762          | 0.6377          | 0.7426       | 0.6862   | 0.9001         | 16    |
+| 0.0709     | 0.3765          | 0.6354          | 0.7426       | 0.6848   | 0.9020         | 17    |
+| 0.0755     | 0.3791          | 0.6347          | 0.7405       | 0.6835   | 0.9022         | 18    |
+| 0.0693     | 0.3774          | 0.6399          | 0.7384       | 0.6856   | 0.9030         | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9819a72270dbceb0b770304d44de70a8d741a2ec523536fe9217e047e83cf607
 size 435873780