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: 1.7701
-- Train End Logits Accuracy: 0.5788
-- Train Start Logits Accuracy: 0.6180
-- Validation Loss: 0.5240
-- Validation End Logits Accuracy: 0.8406
-- Validation Start Logits Accuracy: 0.8811
-- Epoch: 0
+- Train Loss: 0.9970
+- Train End Logits Accuracy: 0.7439
+- Train Start Logits Accuracy: 0.7841
+- Validation Loss: 0.4812
+- Validation End Logits Accuracy: 0.8434
+- Validation Start Logits Accuracy: 0.8979
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.7701     | 0.5788                    | 0.6180                      | 0.5240          | 0.8406                         | 0.8811                           | 0     |
+| 0.9970     | 0.7439                    | 0.7841                      | 0.4812          | 0.8434                         | 0.8979                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692679268.c5ca5ca73f4f.287.0.v2

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