Training in progress epoch 3

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: 1.2367
-- Validation Loss: 1.2743
-- Train Accuracy: 0.575
-- Epoch: 2
+- Train Loss: 0.9547
+- Validation Loss: 1.1049
+- Train Accuracy: 0.75
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 2.2016     | 1.9470          | 0.425          | 0     |
 | 1.6623     | 1.5632          | 0.575          | 1     |
 | 1.2367     | 1.2743          | 0.575          | 2     |
+| 0.9547     | 1.1049          | 0.75           | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8fa39aa552bdde3c0599d7eee300f3cd8bc23b4928b1fe9667a864149058f15
+oid sha256:ad66243fd6f5af26910ccf3f5a780c951f75f93f41f2e1bae16eb7a5dae6e483
 size 267985864