Training in progress epoch 0

README.md

@@ -14,12 +14,12 @@ 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: 5.8944
-- Train End Logits Accuracy: 0.0091
-- Train Start Logits Accuracy: 0.0097
-- Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.3902
-- Validation Start Logits Accuracy: 0.3902
+- Train Loss: 2.7973
+- Train End Logits Accuracy: 0.3293
+- Train Start Logits Accuracy: 0.3521
+- Validation Loss: 2.0625
+- Validation End Logits Accuracy: 0.4527
+- Validation Start Logits Accuracy: 0.4720
 - Epoch: 0
 
 ## Model description
@@ -46,7 +46,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 5.8944     | 0.0091                    | 0.0097                      | 5.9506          | 0.3902                         | 0.3902                           | 0     |
+| 2.7973     | 0.3293                    | 0.3521                      | 2.0625          | 0.4527                         | 0.4720                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1689110538.26b763f1246c.666.0.v2

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tf_model.h5

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