Training in progress epoch 4

README.md

@@ -15,11 +15,11 @@ 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: 0.1212
-- Train Accuracy: 0.9597
-- Validation Loss: 0.4413
-- Validation Accuracy: 0.8747
-- Epoch: 3
+- Train Loss: 0.0641
+- Train Accuracy: 0.9797
+- Validation Loss: 0.4812
+- Validation Accuracy: 0.8586
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.3324     | 0.8795         | 0.3869          | 0.8444              | 1     |
 | 0.2057     | 0.9272         | 0.3933          | 0.8646              | 2     |
 | 0.1212     | 0.9597         | 0.4413          | 0.8747              | 3     |
+| 0.0641     | 0.9797         | 0.4812          | 0.8586              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:22a18e06e6299638a5871e8dc747a64369456ccaa8c4cf81c3c26554c2c239a5
 size 438226204