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: 1.8241
-- Train End Logits Accuracy: 0.5283
-- Train Start Logits Accuracy: 0.5035
-- Validation Loss: 1.4113
-- Validation End Logits Accuracy: 0.6294
-- Validation Start Logits Accuracy: 0.5923
-- Epoch: 0
+- Train Loss: 1.0465
+- Train End Logits Accuracy: 0.7060
+- Train Start Logits Accuracy: 0.6779
+- Validation Loss: 1.3740
+- Validation End Logits Accuracy: 0.6421
+- Validation Start Logits Accuracy: 0.6054
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.8241     | 0.5283                    | 0.5035                      | 1.4113          | 0.6294                         | 0.5923                           | 0     |
+| 1.0465     | 0.7060                    | 0.6779                      | 1.3740          | 0.6421                         | 0.6054                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1705396533.c9ecd1b23b25.404.0.v2

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