Training in progress epoch 7

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: 0.3260
-- Validation Loss: 0.3918
-- Train Precision: 0.6306
-- Train Recall: 0.5907
-- Train F1: 0.6100
-- Train Accuracy: 0.8937
-- Epoch: 5
+- Train Loss: 0.2240
+- Validation Loss: 0.3445
+- Train Precision: 0.6355
+- Train Recall: 0.6730
+- Train F1: 0.6537
+- Train Accuracy: 0.9041
+- Epoch: 7
 
 ## Model description
 
@@ -53,6 +53,8 @@ The following hyperparameters were used during training:
 | 0.5206     | 0.4613          | 0.6213          | 0.5295       | 0.5718   | 0.8753         | 3     |
 | 0.4110     | 0.4201          | 0.6292          | 0.5549       | 0.5897   | 0.8836         | 4     |
 | 0.3260     | 0.3918          | 0.6306          | 0.5907       | 0.6100   | 0.8937         | 5     |
+| 0.2682     | 0.3682          | 0.5989          | 0.6709       | 0.6328   | 0.8985         | 6     |
+| 0.2240     | 0.3445          | 0.6355          | 0.6730       | 0.6537   | 0.9041         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c3bcf5a561fdbf2a6982818a1040d66d255ebb41a9483cdf4bd84fd88763a78c
 size 435873780