Training in progress epoch 2

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: 0.2266
-- Validation Loss: 0.3110
-- Train Precision: 0.8974
-- Train Recall: 0.8913
-- Train Accuracy: 0.8910
-- Train F1: 0.8903
-- Epoch: 1
+- Train Loss: 0.1155
+- Validation Loss: 0.2999
+- Train Precision: 0.9130
+- Train Recall: 0.9134
+- Train Accuracy: 0.9129
+- Train F1: 0.9128
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------------:|:--------:|:-----:|
 | 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     |
+| 0.1155     | 0.2999          | 0.9130          | 0.9134       | 0.9129         | 0.9128   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0fc851b1a6ef18e3147e4ae65efa56aa278c78aefdf4850435dda12514e56640
 size 433538332