Training in progress epoch 4

README.md

@@ -14,12 +14,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6040
-- Train Accuracy: 0.7007
-- Validation Loss: 0.5308
-- Validation Accuracy: 0.7191
-- Train Matthews Correlation: 0.2443
-- Epoch: 0
+- Train Loss: 0.1922
+- Train Accuracy: 0.9310
+- Validation Loss: 0.5247
+- Validation Accuracy: 0.8303
+- Train Matthews Correlation: 0.5830
+- Epoch: 4
 
 ## Model description
 
@@ -46,6 +46,10 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Matthews Correlation | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:--------------------------:|:-----:|
 | 0.6040     | 0.7007         | 0.5308          | 0.7191              | 0.2443                     | 0     |
+| 0.4246     | 0.8114         | 0.4163          | 0.8188              | 0.5525                     | 1     |
+| 0.2897     | 0.8848         | 0.5054          | 0.8121              | 0.5343                     | 2     |
+| 0.2224     | 0.9146         | 0.4868          | 0.8274              | 0.5754                     | 3     |
+| 0.1922     | 0.9310         | 0.5247          | 0.8303              | 0.5830                     | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 433535256