Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ 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: 0.2279
-- Train End Logits Accuracy: 0.9238
-- Train Start Logits Accuracy: 0.9391
-- Validation Loss: 0.5657
-- Validation End Logits Accuracy: 0.8402
-- Validation Start Logits Accuracy: 0.9046
-- Epoch: 1
+- Train Loss: 0.1315
+- Train End Logits Accuracy: 0.9554
+- Train Start Logits Accuracy: 0.9654
+- Validation Loss: 0.6059
+- Validation End Logits Accuracy: 0.8518
+- Validation Start Logits Accuracy: 0.9021
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.4322     | 0.8625                    | 0.8874                      | 0.5311          | 0.8621                         | 0.9008                           | 0     |
 | 0.2279     | 0.9238                    | 0.9391                      | 0.5657          | 0.8402                         | 0.9046                           | 1     |
+| 0.1315     | 0.9554                    | 0.9654                      | 0.6059          | 0.8518                         | 0.9021                           | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692264786.28e0281bfbdf.222.4.v2

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tf_model.h5

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