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: 0.2565
-- Validation Loss: 0.2451
-- Train Precision: 0.9127
-- Train Recall: 0.9124
-- Train Accuracy: 0.9121
-- Train F1: 0.9121
-- Epoch: 1
+- Train Loss: 0.1344
+- Validation Loss: 0.2721
+- Train Precision: 0.9069
+- Train Recall: 0.9056
+- Train Accuracy: 0.9056
+- Train F1: 0.9058
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------------:|:--------:|:-----:|
 | 0.5948     | 0.3185          | 0.8893          | 0.8847       | 0.8853         | 0.8858   | 0     |
 | 0.2565     | 0.2451          | 0.9127          | 0.9124       | 0.9121         | 0.9121   | 1     |
+| 0.1344     | 0.2721          | 0.9069          | 0.9056       | 0.9056         | 0.9058   | 2     |
 
 
 ### Framework versions

tf_model.h5

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