Training in progress epoch 2

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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9698
-- Train End Logits Accuracy: 0.7308
-- Train Start Logits Accuracy: 0.6922
-- Validation Loss: 1.1189
-- Validation End Logits Accuracy: 0.7008
-- Validation Start Logits Accuracy: 0.6740
-- Epoch: 1
+- Train Loss: 0.7229
+- Train End Logits Accuracy: 0.7909
+- Train Start Logits Accuracy: 0.7522
+- Validation Loss: 1.1848
+- Validation End Logits Accuracy: 0.6958
+- Validation Start Logits Accuracy: 0.6635
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5634     | 0.5935                    | 0.5554                      | 1.1964          | 0.6770                         | 0.6480                           | 0     |
 | 0.9698     | 0.7308                    | 0.6922                      | 1.1189          | 0.7008                         | 0.6740                           | 1     |
+| 0.7229     | 0.7909                    | 0.7522                      | 1.1848          | 0.6958                         | 0.6635                           | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1715222636.eeb29db29a0c.103.0.v2

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tf_model.h5

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