Training in progress epoch 12

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: 0.1672
-- Validation Loss: 0.3609
-- Train Precision: 0.5721
-- Train Recall: 0.7278
-- Train F1: 0.6407
-- Train Accuracy: 0.8908
-- Epoch: 9
+- 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
 
 ## Model description
 
@@ -57,6 +57,9 @@ The following hyperparameters were used during training:
 | 0.2240     | 0.3445          | 0.6355          | 0.6730       | 0.6537   | 0.9041         | 7     |
 | 0.1891     | 0.3593          | 0.5736          | 0.7152       | 0.6366   | 0.8913         | 8     |
 | 0.1672     | 0.3609          | 0.5721          | 0.7278       | 0.6407   | 0.8908         | 9     |
+| 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6bb4d401f5868a0d2df1b2541025a1d5dfe6a4193ade31229bfbb4fac4506cec
 size 435873780