Training in progress epoch 2

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: 1.2909
-- Validation Loss: 0.7719
-- Train Precision: 0.0
-- Train Recall: 0.0
-- Train F1: 0.0
-- Train Accuracy: 0.7813
-- Epoch: 0
+- Train Loss: 0.5460
+- Validation Loss: 0.4551
+- Train Precision: 0.5509
+- Train Recall: 0.5823
+- Train F1: 0.5662
+- Train Accuracy: 0.8676
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 1.2909     | 0.7719          | 0.0             | 0.0          | 0.0      | 0.7813         | 0     |
+| 0.8005     | 0.5567          | 0.4313          | 0.3776       | 0.4027   | 0.8372         | 1     |
+| 0.5460     | 0.4551          | 0.5509          | 0.5823       | 0.5662   | 0.8676         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1f0a73c874dca4e082becb6aeae58d3361ebb7cfb7d8929c77de5ee4afef821f
 size 435873780