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: 0.7301
-- Train End Logits Accuracy: 0.7886
-- Train Start Logits Accuracy: 0.8328
-- Validation Loss: 0.4645
-- Validation End Logits Accuracy: 0.8595
-- Validation Start Logits Accuracy: 0.9046
-- Epoch: 1
+- Train Loss: 0.5214
+- Train End Logits Accuracy: 0.8427
+- Train Start Logits Accuracy: 0.8833
+- Validation Loss: 0.4515
+- Validation End Logits Accuracy: 0.8686
+- Validation Start Logits Accuracy: 0.9149
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4868     | 0.6326                    | 0.6700                      | 0.5422          | 0.8338                         | 0.8956                           | 0     |
 | 0.7301     | 0.7886                    | 0.8328                      | 0.4645          | 0.8595                         | 0.9046                           | 1     |
+| 0.5214     | 0.8427                    | 0.8833                      | 0.4515          | 0.8686                         | 0.9149                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693195083.177661196d83.1004.0.v2

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validation/events.out.tfevents.1693195761.177661196d83.1004.1.v2

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