Training in progress epoch 24

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: 0.0124
-- Validation Loss: 0.4873
-- Train Accuracy: 0.929
-- Epoch: 23
+- Train Loss: 0.0157
+- Validation Loss: 0.4008
+- Train Accuracy: 0.932
+- Epoch: 24
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0149     | 0.4736          | 0.93           | 21    |
 | 0.0196     | 0.4435          | 0.9325         | 22    |
 | 0.0124     | 0.4873          | 0.929          | 23    |
+| 0.0157     | 0.4008          | 0.932          | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e78b20e140171f65b12028bbd8b7185ad6e194ca3b263de16064a674f7f52422
+oid sha256:2937d9a14af22fc7d20373838322abef091f462bd5c938d528358a490d1fc27a
 size 267964096