Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ 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: 1.4963
-- Train End Logits Accuracy: 0.6099
-- Train Start Logits Accuracy: 0.5713
-- Validation Loss: 1.1677
-- Validation End Logits Accuracy: 0.6843
-- Validation Start Logits Accuracy: 0.6492
-- Epoch: 0
+- Train Loss: 0.9640
+- Train End Logits Accuracy: 0.7317
+- Train Start Logits Accuracy: 0.6920
+- Validation Loss: 1.1190
+- Validation End Logits Accuracy: 0.6979
+- Validation Start Logits Accuracy: 0.6640
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4963     | 0.6099                    | 0.5713                      | 1.1677          | 0.6843                         | 0.6492                           | 0     |
+| 0.9640     | 0.7317                    | 0.6920                      | 1.1190          | 0.6979                         | 0.6640                           | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8de423cc049ad947cd22b768f3ac41771a0121bdcd3f8f7c749eb78538d5e1f3
 size 265583592