Training in progress epoch 6

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: 0.2830
-- Validation Loss: 0.3550
-- Train Precision: 0.6019
-- Train Recall: 0.6730
-- Train F1: 0.6355
-- Train Accuracy: 0.8958
-- Epoch: 5
+- Train Loss: 0.2357
+- Validation Loss: 0.3555
+- Train Precision: 0.6137
+- Train Recall: 0.7004
+- Train F1: 0.6542
+- Train Accuracy: 0.9025
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 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     |
 | 0.2830     | 0.3550          | 0.6019          | 0.6730       | 0.6355   | 0.8958         | 5     |
+| 0.2357     | 0.3555          | 0.6137          | 0.7004       | 0.6542   | 0.9025         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:586afb0f5b3c06808e96a6149d192f12eaf7c48c1404256b1c26d01c77f8a47a
 size 435873780