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: 4.9762
-- Validation Loss: 4.7210
-- Train Accuracy: 0.0767
-- Epoch: 0
+- Train Loss: 0.4423
+- Validation Loss: 0.8468
+- Train Accuracy: 0.9067
+- Epoch: 9
 
 ## Model description
 
@@ -45,6 +45,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 4.9762     | 4.7210          | 0.0767         | 0     |
+| 4.4240     | 4.0959          | 0.4233         | 1     |
+| 3.6373     | 3.4046          | 0.69           | 2     |
+| 2.8675     | 2.7514          | 0.8233         | 3     |
+| 2.1664     | 2.1956          | 0.8667         | 4     |
+| 1.5991     | 1.7330          | 0.86           | 5     |
+| 1.1413     | 1.4153          | 0.8833         | 6     |
+| 0.8233     | 1.1592          | 0.8867         | 7     |
+| 0.6009     | 0.9746          | 0.9033         | 8     |
+| 0.4423     | 0.8468          | 0.9067         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:93d7f71240f4c9626e9eec9cc86ccf88469dc0dc0c2adeae7600c638aed99795
 size 1341734528