Training in progress epoch 1

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: 1.4743
-- Train End Logits Accuracy: 0.6319
-- Train Start Logits Accuracy: 0.6682
-- Validation Loss: 0.5295
-- Validation End Logits Accuracy: 0.8351
-- Validation Start Logits Accuracy: 0.8982
-- Epoch: 0
+- Train Loss: 0.7342
+- Train End Logits Accuracy: 0.7911
+- Train Start Logits Accuracy: 0.8366
+- Validation Loss: 0.4560
+- Validation End Logits Accuracy: 0.8492
+- Validation Start Logits Accuracy: 0.9021
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4743     | 0.6319                    | 0.6682                      | 0.5295          | 0.8351                         | 0.8982                           | 0     |
+| 0.7342     | 0.7911                    | 0.8366                      | 0.4560          | 0.8492                         | 0.9021                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1692006665.f7ac9471e4a4.1550.0.v2

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validation/events.out.tfevents.1692007282.f7ac9471e4a4.1550.1.v2

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