Training in progress epoch 3

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: 2.5094
-- Train End Logits Accuracy: 0.3998
-- Train Start Logits Accuracy: 0.3147
-- Validation Loss: 2.1436
-- Validation End Logits Accuracy: 0.4514
-- Validation Start Logits Accuracy: 0.3793
-- Epoch: 2
+- Train Loss: 1.9078
+- Train End Logits Accuracy: 0.4871
+- Train Start Logits Accuracy: 0.4397
+- Validation Loss: 1.7322
+- Validation End Logits Accuracy: 0.5204
+- Validation Start Logits Accuracy: 0.5705
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 5.1787     | 0.0571                    | 0.0496                      | 4.3181          | 0.1724                         | 0.1818                           | 0     |
 | 3.6307     | 0.25                      | 0.1810                      | 2.8944          | 0.3793                         | 0.2476                           | 1     |
 | 2.5094     | 0.3998                    | 0.3147                      | 2.1436          | 0.4514                         | 0.3793                           | 2     |
+| 1.9078     | 0.4871                    | 0.4397                      | 1.7322          | 0.5204                         | 0.5705                           | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720241628.168f4cd3ffa1.187.0.v2

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tf_model.h5

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