Training in progress epoch 2

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](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2081
-- Validation Loss: 0.2713
-- Train Precision: 0.9096
-- Train Recall: 0.9099
-- Train Accuracy: 0.9097
-- Train F1: 0.9097
-- Epoch: 1
+- Train Loss: 0.0983
+- Validation Loss: 0.2868
+- Train Precision: 0.9210
+- Train Recall: 0.9212
+- Train Accuracy: 0.9211
+- Train F1: 0.9210
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------------:|:--------:|:-----:|
 | 0.5233     | 0.3586          | 0.8710          | 0.8670       | 0.8666         | 0.8674   | 0     |
 | 0.2081     | 0.2713          | 0.9096          | 0.9099       | 0.9097         | 0.9097   | 1     |
+| 0.0983     | 0.2868          | 0.9210          | 0.9212       | 0.9211         | 0.9210   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bac897ae14c98fdc9d0dd2f993ece1e0b5c55856dabcc4e92bed2b237d8608f8
 size 438226204