Training in progress epoch 9

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 5.1229
-- Validation Loss: 5.0343
+- Train Loss: 5.0326
+- Validation Loss: 5.0256
 - Train Accuracy: 0.0067
-- Epoch: 0
+- Epoch: 9
 
 ## Model description
 
@@ -45,6 +45,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 5.1229     | 5.0343          | 0.0067         | 0     |
+| 5.0629     | 5.0547          | 0.0033         | 1     |
+| 5.0585     | 5.0239          | 0.0167         | 2     |
+| 5.0530     | 5.0257          | 0.0167         | 3     |
+| 5.0545     | 5.0207          | 0.01           | 4     |
+| 5.0549     | 5.0104          | 0.01           | 5     |
+| 5.0401     | 5.0240          | 0.0067         | 6     |
+| 5.0400     | 5.0121          | 0.01           | 7     |
+| 5.0372     | 5.0030          | 0.0167         | 8     |
+| 5.0326     | 5.0256          | 0.0067         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ceb1cb66d5c12908f681272d87fa414f0da25747c3d3938af4c0d693866738fe
+oid sha256:b7d0ec8b7531acc8ad5f2d4496297dd483e157271ce16011bbd8eafe502b553b
 size 1341734528