Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2689
-- Train End Logits Accuracy: 0.6763
-- Train Start Logits Accuracy: 0.7170
-- Validation Loss: 0.4968
-- Validation End Logits Accuracy: 0.8415
-- Validation Start Logits Accuracy: 0.8995
+- Train Loss: 1.2483
+- Train End Logits Accuracy: 0.6727
+- Train Start Logits Accuracy: 0.7141
+- Validation Loss: 0.5474
+- Validation End Logits Accuracy: 0.8273
+- Validation Start Logits Accuracy: 0.8802
 - Epoch: 0
 
 ## Model description
@@ -47,7 +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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.2689     | 0.6763                    | 0.7170                      | 0.4968          | 0.8415                         | 0.8995                           | 0     |
+| 1.2483     | 0.6727                    | 0.7141                      | 0.5474          | 0.8273                         | 0.8802                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1690564319.140c83f53b00.598.2.v2

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logs/validation/events.out.tfevents.1690565466.140c83f53b00.598.3.v2

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tf_model.h5

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