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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.8733
-- Train End Logits Accuracy: 0.5431
-- Train Start Logits Accuracy: 0.5972
-- Validation Loss: 0.6259
-- Validation End Logits Accuracy: 0.7790
-- Validation Start Logits Accuracy: 0.8406
-- Epoch: 0
+- Train Loss: 0.8971
+- Train End Logits Accuracy: 0.7415
+- Train Start Logits Accuracy: 0.8017
+- Validation Loss: 0.5189
+- Validation End Logits Accuracy: 0.8322
+- Validation Start Logits Accuracy: 0.8923
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.8733     | 0.5431                    | 0.5972                      | 0.6259          | 0.7790                         | 0.8406                           | 0     |
+| 0.8971     | 0.7415                    | 0.8017                      | 0.5189          | 0.8322                         | 0.8923                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1692592863.dc29f791ecdc.788.0.v2

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validation/events.out.tfevents.1692593470.dc29f791ecdc.788.1.v2

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