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: 0.5948
-- Validation Loss: 0.3185
-- Train Precision: 0.8893
-- Train Recall: 0.8847
-- Train Accuracy: 0.8853
-- Train F1: 0.8858
-- Epoch: 0
+- 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
 
 ## 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------------:|:--------:|:-----:|
 | 0.5948     | 0.3185          | 0.8893          | 0.8847       | 0.8853         | 0.8858   | 0     |
+| 0.2565     | 0.2451          | 0.9127          | 0.9124       | 0.9121         | 0.9121   | 1     |
 
 
 ### Framework versions

tf_model.h5

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