Training in progress epoch 2

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: 0.8373
-- Train End Logits Accuracy: 0.7346
-- Train Start Logits Accuracy: 0.7236
-- Validation Loss: 0.9979
-- Validation End Logits Accuracy: 0.7117
-- Validation Start Logits Accuracy: 0.6974
-- Epoch: 1
+- Train Loss: 0.5988
+- Train End Logits Accuracy: 0.8012
+- Train Start Logits Accuracy: 0.7931
+- Validation Loss: 0.9518
+- Validation End Logits Accuracy: 0.7267
+- Validation Start Logits Accuracy: 0.7225
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.3498     | 0.6214                    | 0.6049                      | 1.0429          | 0.6891                         | 0.6754                           | 0     |
 | 0.8373     | 0.7346                    | 0.7236                      | 0.9979          | 0.7117                         | 0.6974                           | 1     |
+| 0.5988     | 0.8012                    | 0.7931                      | 0.9518          | 0.7267                         | 0.7225                           | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7f778e8e14a74be02745e6f4df806d89310fe9cc6c78f66ed733b129f52fca25
 size 265583592