Training in progress epoch 5

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: 0.5460
-- Validation Loss: 0.4551
-- Train Precision: 0.5509
-- Train Recall: 0.5823
-- Train F1: 0.5662
-- Train Accuracy: 0.8676
-- Epoch: 2
+- Train Loss: 0.3591
+- Validation Loss: 0.4051
+- Train Precision: 0.5896
+- Train Recall: 0.6245
+- Train F1: 0.6066
+- Train Accuracy: 0.8857
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,9 @@ The following hyperparameters were used during training:
 | 1.2909     | 0.7719          | 0.0             | 0.0          | 0.0      | 0.7813         | 0     |
 | 0.8005     | 0.5567          | 0.4313          | 0.3776       | 0.4027   | 0.8372         | 1     |
 | 0.5460     | 0.4551          | 0.5509          | 0.5823       | 0.5662   | 0.8676         | 2     |
+| 0.4141     | 0.4381          | 0.5443          | 0.6477       | 0.5915   | 0.8732         | 3     |
+| 0.3626     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 4     |
+| 0.3591     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f0a73c874dca4e082becb6aeae58d3361ebb7cfb7d8929c77de5ee4afef821f
+oid sha256:8017862b94ff83bb70431fbd87a76848411f1a142ca44e1fcb754480ddf3d1d1
 size 435873780