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: 1.5194
-- Train End Logits Accuracy: 0.6057
-- Train Start Logits Accuracy: 0.5660
-- Validation Loss: 1.1534
-- Validation End Logits Accuracy: 0.6873
-- Validation Start Logits Accuracy: 0.6489
-- Epoch: 0
+- Train Loss: 0.9738
+- Train End Logits Accuracy: 0.7286
+- Train Start Logits Accuracy: 0.6895
+- Validation Loss: 1.1180
+- Validation End Logits Accuracy: 0.6982
+- Validation Start Logits Accuracy: 0.6657
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5194     | 0.6057                    | 0.5660                      | 1.1534          | 0.6873                         | 0.6489                           | 0     |
+| 0.9738     | 0.7286                    | 0.6895                      | 1.1180          | 0.6982                         | 0.6657                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1695541190.65b3285edbd6.512.0.v2

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tf_model.h5

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