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: 0.7612
-- Train End Logits Accuracy: 0.7269
-- Train Start Logits Accuracy: 0.7647
-- Validation Loss: 1.0245
-- Validation End Logits Accuracy: 0.7210
-- Validation Start Logits Accuracy: 0.7806
-- Epoch: 2
+- Train Loss: 0.5528
+- Train End Logits Accuracy: 0.7836
+- Train Start Logits Accuracy: 0.8319
+- Validation Loss: 1.2436
+- Validation End Logits Accuracy: 0.7116
+- Validation Start Logits Accuracy: 0.7712
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 2.3428     | 0.4160                    | 0.4317                      | 1.3438          | 0.5611                         | 0.6458                           | 0     |
 | 1.1526     | 0.6261                    | 0.6397                      | 1.0597          | 0.6677                         | 0.7429                           | 1     |
 | 0.7612     | 0.7269                    | 0.7647                      | 1.0245          | 0.7210                         | 0.7806                           | 2     |
+| 0.5528     | 0.7836                    | 0.8319                      | 1.2436          | 0.7116                         | 0.7712                           | 3     |
 
 
 ### Framework versions

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