Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4295
-- Validation Loss: 0.5164
-- Train Accuracy: 0.7438
-- Epoch: 0
+- Train Loss: 0.3391
+- Validation Loss: 0.5113
+- Train Accuracy: 0.75
+- Epoch: 3
 
 ## Model description
 
@@ -45,6 +45,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.4295     | 0.5164          | 0.7438         | 0     |
+| 0.3839     | 0.5113          | 0.75           | 1     |
+| 0.3366     | 0.5113          | 0.75           | 2     |
+| 0.3391     | 0.5113          | 0.75           | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b0c60de5819db4e527f92d91477e3521a7a1cb107bafed5d6cb3ed69d3a2799a
 size 438223128