Training in progress epoch 2

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: 2.0078
-- Train End Logits Accuracy: 0.5336
-- Train Start Logits Accuracy: 0.4909
-- Validation Loss: 2.0486
-- Validation End Logits Accuracy: 0.5289
-- Validation Start Logits Accuracy: 0.4965
-- Epoch: 1
+- Train Loss: 1.7487
+- Train End Logits Accuracy: 0.5839
+- Train Start Logits Accuracy: 0.5369
+- Validation Loss: 2.0212
+- Validation End Logits Accuracy: 0.5396
+- Validation Start Logits Accuracy: 0.5058
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 2.6777     | 0.4400                    | 0.4209                      | 2.1506          | 0.5098                         | 0.4806                           | 0     |
 | 2.0078     | 0.5336                    | 0.4909                      | 2.0486          | 0.5289                         | 0.4965                           | 1     |
+| 1.7487     | 0.5839                    | 0.5369                      | 2.0212          | 0.5396                         | 0.5058                           | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1680091187.0604f5e00cc7.253.0.v2

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tf_model.h5

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