Training in progress epoch 4

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-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6618
-- Validation Loss: 0.5098
-- Train Precision: 0.6180
-- Train Recall: 0.4641
-- Train F1: 0.5301
-- Train Accuracy: 0.8673
-- Epoch: 2
+- Train Loss: 0.3731
+- Validation Loss: 0.3833
+- Train Precision: 0.5849
+- Train Recall: 0.6540
+- Train F1: 0.6175
+- Train Accuracy: 0.8910
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 1.4820     | 0.8904          | 0.0             | 0.0          | 0.0      | 0.7808         | 0     |
 | 0.8734     | 0.6681          | 0.6159          | 0.1793       | 0.2778   | 0.8274         | 1     |
 | 0.6618     | 0.5098          | 0.6180          | 0.4641       | 0.5301   | 0.8673         | 2     |
+| 0.4675     | 0.4214          | 0.6199          | 0.5781       | 0.5983   | 0.8841         | 3     |
+| 0.3731     | 0.3833          | 0.5849          | 0.6540       | 0.6175   | 0.8910         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:92e724b59f14e112f1514cadc91f4190b4c6baa2193ee9b6ffac5c25339d3755
 size 435873780