Training in progress epoch 23

README.md

@@ -15,10 +15,10 @@ 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: 0.0196
-- Validation Loss: 0.4435
-- Train Accuracy: 0.9325
-- Epoch: 22
+- Train Loss: 0.0124
+- Validation Loss: 0.4873
+- Train Accuracy: 0.929
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.0154     | 0.3817          | 0.9305         | 20    |
 | 0.0149     | 0.4736          | 0.93           | 21    |
 | 0.0196     | 0.4435          | 0.9325         | 22    |
+| 0.0124     | 0.4873          | 0.929          | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b562b0ed7d7a2f6545fff376a5460c98de67fc2a98f610f36dd8e6b2c9633e9
+oid sha256:e78b20e140171f65b12028bbd8b7185ad6e194ca3b263de16064a674f7f52422
 size 267964096