Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7165
-- Validation Loss: 1.7453
-- Train Accuracy: 0.525
-- Epoch: 1
+- Train Loss: 1.2878
+- Validation Loss: 1.4632
+- Train Accuracy: 0.55
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.1852     | 2.0907          | 0.375          | 0     |
 | 1.7165     | 1.7453          | 0.525          | 1     |
+| 1.2878     | 1.4632          | 0.55           | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1f863a4292e5ff08157b169e73fd3880f056ad74f745e4e0e8b7f53c14b1f2b
+oid sha256:9ef75e74a4b0b87d48fe4aa1ac729554739194db67621ed031f445c75cbc328c
 size 267982528