Training in progress epoch 2

README.md

@@ -16,12 +16,12 @@ 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: nan
-- Train End Logits Accuracy: nan
-- Train Start Logits Accuracy: 0.0006
+- Train End Logits Accuracy: 0.0
+- Train Start Logits Accuracy: nan
 - Validation Loss: nan
 - Validation End Logits Accuracy: 0.0
 - Validation Start Logits Accuracy: 0.0
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | nan        | 0.0                       | 0.0006                      | nan             | 0.0                            | 0.0                              | 0     |
 | nan        | nan                       | 0.0006                      | nan             | 0.0                            | 0.0                              | 1     |
+| nan        | 0.0                       | nan                         | nan             | 0.0                            | 0.0                              | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692592243.842537503ed3.175.1.v2

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logs/validation/events.out.tfevents.1692593062.842537503ed3.175.2.v2

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tf_model.h5

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