Training in progress epoch 9

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: 0.4549
-- Train End Logits Accuracy: 0.8851
-- Train Start Logits Accuracy: 0.8520
-- Validation Loss: 2.8469
-- Validation End Logits Accuracy: 0.5146
-- Validation Start Logits Accuracy: 0.4677
-- Epoch: 8
+- Train Loss: 0.4033
+- Train End Logits Accuracy: 0.8959
+- Train Start Logits Accuracy: 0.8678
+- Validation Loss: 2.9031
+- Validation End Logits Accuracy: 0.5200
+- Validation Start Logits Accuracy: 0.4756
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.6369     | 0.8344                    | 0.8008                      | 2.6350          | 0.5010                         | 0.4572                           | 6     |
 | 0.5378     | 0.8606                    | 0.8272                      | 2.6468          | 0.5339                         | 0.4905                           | 7     |
 | 0.4549     | 0.8851                    | 0.8520                      | 2.8469          | 0.5146                         | 0.4677                           | 8     |
+| 0.4033     | 0.8959                    | 0.8678                      | 2.9031          | 0.5200                         | 0.4756                           | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1714812839.8f02ccfbe71c.509.0.v2

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tf_model.h5

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