Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5898
-- Validation Loss: 0.3387
-- Train Precision: 0.8804
-- Train Recall: 0.8786
-- Train Accuracy: 0.8788
-- Train F1: 0.8788
-- Epoch: 0
+- Train Loss: 0.2266
+- Validation Loss: 0.3110
+- Train Precision: 0.8974
+- Train Recall: 0.8913
+- Train Accuracy: 0.8910
+- Train F1: 0.8903
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train Accuracy | Train F1 | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------------:|:--------:|:-----:|
 | 0.5898     | 0.3387          | 0.8804          | 0.8786       | 0.8788         | 0.8788   | 0     |
+| 0.2266     | 0.3110          | 0.8974          | 0.8913       | 0.8910         | 0.8903   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fe3fc90c806a0a102f07129299f6b8d600f7fc0f7058bce26df4b87eb44fd8b7
 size 433538332