Training in progress epoch 12

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: 0.1516
-- Validation Loss: 0.3692
-- Train Precision: 0.6264
-- Train Recall: 0.7004
-- Train F1: 0.6614
-- Train Accuracy: 0.9017
-- Epoch: 9
+- Train Loss: 0.0981
+- Validation Loss: 0.3764
+- Train Precision: 0.6444
+- Train Recall: 0.7342
+- Train F1: 0.6864
+- Train Accuracy: 0.9014
+- Epoch: 12
 
 ## Model description
 
@@ -57,6 +57,9 @@ The following hyperparameters were used during training:
 | 0.2042     | 0.3500          | 0.6325          | 0.6646       | 0.6481   | 0.9004         | 7     |
 | 0.1721     | 0.3511          | 0.5891          | 0.7046       | 0.6417   | 0.8964         | 8     |
 | 0.1516     | 0.3692          | 0.6264          | 0.7004       | 0.6614   | 0.9017         | 9     |
+| 0.1281     | 0.3477          | 0.6508          | 0.7194       | 0.6834   | 0.9046         | 10    |
+| 0.1058     | 0.3701          | 0.6232          | 0.7257       | 0.6706   | 0.9012         | 11    |
+| 0.0981     | 0.3764          | 0.6444          | 0.7342       | 0.6864   | 0.9014         | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d86be2e1f515687653175a0b397a752f79b87e2782a082ec2b536b60e50f924c
+oid sha256:f2b61db10088c12efc7d122e0b57c9842d90fac1fad360ce420f73aa1178d9f9
 size 435873780