Training in progress epoch 13

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: 0.1103
-- Validation Loss: 0.3531
-- Train Precision: 0.6322
-- Train Recall: 0.7215
-- Train F1: 0.6739
-- Train Accuracy: 0.9030
-- Epoch: 12
+- Train Loss: 0.1014
+- Validation Loss: 0.3814
+- Train Precision: 0.6065
+- Train Recall: 0.7511
+- Train F1: 0.6711
+- Train Accuracy: 0.8964
+- Epoch: 13
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.1456     | 0.3594          | 0.5940          | 0.7131       | 0.6481   | 0.8969         | 10    |
 | 0.1310     | 0.3519          | 0.6437          | 0.7089       | 0.6747   | 0.9073         | 11    |
 | 0.1103     | 0.3531          | 0.6322          | 0.7215       | 0.6739   | 0.9030         | 12    |
+| 0.1014     | 0.3814          | 0.6065          | 0.7511       | 0.6711   | 0.8964         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:28c214b388dd070b34853b845a8a9b3abfffbc0b62ea3f43f33edfa010998271
 size 435873780