Training in progress epoch 2

README.md

@@ -14,11 +14,11 @@ 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: 0.3253
-- Train Accuracy: 0.8797
-- Validation Loss: 0.3890
-- Validation Accuracy: 0.8404
-- Epoch: 1
+- Train Loss: 0.2070
+- Train Accuracy: 0.9290
+- Validation Loss: 0.4210
+- Validation Accuracy: 0.8303
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.5345     | 0.7810         | 0.4586          | 0.8283              | 0     |
 | 0.3253     | 0.8797         | 0.3890          | 0.8404              | 1     |
+| 0.2070     | 0.9290         | 0.4210          | 0.8303              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:16635cac55a4224f0b4ed3bf8f5aa9bd0161dc19e212adbc32ecb902b4612c52
+oid sha256:0bc699ce14aa8fd534254305c6d6bc808b31694ae6521d848d8834232323b685
 size 438226204