Training in progress epoch 1

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: 1.4910
-- Train End Logits Accuracy: 0.6123
-- Train Start Logits Accuracy: 0.5711
-- Validation Loss: 1.1731
-- Validation End Logits Accuracy: 0.6869
-- Validation Start Logits Accuracy: 0.6507
-- Epoch: 0
+- Train Loss: 0.9661
+- Train End Logits Accuracy: 0.7320
+- Train Start Logits Accuracy: 0.6921
+- Validation Loss: 1.1291
+- Validation End Logits Accuracy: 0.6971
+- Validation Start Logits Accuracy: 0.6623
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4910     | 0.6123                    | 0.5711                      | 1.1731          | 0.6869                         | 0.6507                           | 0     |
+| 0.9661     | 0.7320                    | 0.6921                      | 1.1291          | 0.6971                         | 0.6623                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1689484149.1e19cb34a50e.224.0.v2

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tf_model.h5

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