Training in progress epoch 2

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: 0.6589
-- Train End Logits Accuracy: 0.7895
-- Train Start Logits Accuracy: 0.8564
-- Validation Loss: 0.4835
-- Validation End Logits Accuracy: 0.8406
-- Validation Start Logits Accuracy: 0.8979
-- Epoch: 1
+- Train Loss: 0.4265
+- Train End Logits Accuracy: 0.8515
+- Train Start Logits Accuracy: 0.9052
+- Validation Loss: 0.4948
+- Validation End Logits Accuracy: 0.8448
+- Validation Start Logits Accuracy: 0.9049
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5062     | 0.6059                    | 0.6533                      | 0.5270          | 0.8308                         | 0.8867                           | 0     |
 | 0.6589     | 0.7895                    | 0.8564                      | 0.4835          | 0.8406                         | 0.8979                           | 1     |
+| 0.4265     | 0.8515                    | 0.9052                      | 0.4948          | 0.8448                         | 0.9049                           | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7987db5ecac58e2a0f79d9fa5ba33705df7da23f7cce2efd2362f332819861be
 size 1110105320