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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7011
-- Train End Logits Accuracy: 0.7983
-- Train Start Logits Accuracy: 0.7638
+- Train Loss: 0.5621
+- Train End Logits Accuracy: 0.8351
+- Train Start Logits Accuracy: 0.8011
 - Validation Loss: 0.0
 - Validation End Logits Accuracy: 0.0
 - Validation Start Logits Accuracy: 0.0
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.4589     | 0.6168                    | 0.5825                      | 0.0             | 0.0                            | 0.0                              | 0     |
 | 0.9226     | 0.7424                    | 0.7063                      | 0.0             | 0.0                            | 0.0                              | 1     |
 | 0.7011     | 0.7983                    | 0.7638                      | 0.0             | 0.0                            | 0.0                              | 2     |
+| 0.5621     | 0.8351                    | 0.8011                      | 0.0             | 0.0                            | 0.0                              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:542446d677da0c5da335695d44879591a4df6197c7d563d395602fc8c75f7f4d
 size 265583592