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: 1.6906
-- Train End Logits Accuracy: 0.5681
-- Train Start Logits Accuracy: 0.6167
-- Validation Loss: 0.5863
-- Validation End Logits Accuracy: 0.8126
-- Validation Start Logits Accuracy: 0.8657
-- Epoch: 0
+- Train Loss: 0.8028
+- Train End Logits Accuracy: 0.7600
+- Train Start Logits Accuracy: 0.8122
+- Validation Loss: 0.4847
+- Validation End Logits Accuracy: 0.8503
+- Validation Start Logits Accuracy: 0.9077
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.6906     | 0.5681                    | 0.6167                      | 0.5863          | 0.8126                         | 0.8657                           | 0     |
+| 0.8028     | 0.7600                    | 0.8122                      | 0.4847          | 0.8503                         | 0.9077                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1692601225.102346e677bf.925.0.v2

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validation/events.out.tfevents.1692602246.102346e677bf.925.1.v2

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