Training in progress epoch 3

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9378
-- Train End Logits Accuracy: 0.7370
-- Train Start Logits Accuracy: 0.7038
-- Validation Loss: 1.1243
-- Validation End Logits Accuracy: 0.6965
-- Validation Start Logits Accuracy: 0.6631
-- Epoch: 2
+- Train Loss: 0.8322
+- Train End Logits Accuracy: 0.7636
+- Train Start Logits Accuracy: 0.7311
+- Validation Loss: 1.1398
+- Validation End Logits Accuracy: 0.7014
+- Validation Start Logits Accuracy: 0.6678
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.7468     | 0.5488                    | 0.5204                      | 1.2282          | 0.6706                         | 0.6367                           | 0     |
 | 1.1198     | 0.6922                    | 0.6597                      | 1.1548          | 0.6880                         | 0.6558                           | 1     |
 | 0.9378     | 0.7370                    | 0.7038                      | 1.1243          | 0.6965                         | 0.6631                           | 2     |
+| 0.8322     | 0.7636                    | 0.7311                      | 1.1398          | 0.7014                         | 0.6678                           | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:87c61d5d85e624f64accd8b557a78f77da3b2f973eabf3fed1292f93b5d91930
 size 260895720