Training in progress epoch 0

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: nan
-- 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: 2
+- Train Loss: 1.4726
+- Train End Logits Accuracy: 0.6104
+- Train Start Logits Accuracy: 0.6723
+- Validation Loss: 0.5444
+- Validation End Logits Accuracy: 0.8266
+- Validation Start Logits Accuracy: 0.8839
+- Epoch: 0
 
 ## Model description
 
@@ -47,9 +47,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 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     |
+| 1.4726     | 0.6104                    | 0.6723                      | 0.5444          | 0.8266                         | 0.8839                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692600204.02fc2bd74e63.368.0.v2

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logs/validation/events.out.tfevents.1692601245.02fc2bd74e63.368.1.v2

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tf_model.h5

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