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: 0.0191
-- Validation Loss: 0.0275
-- Train Precision: 0.9832
-- Train Recall: 0.9848
-- Train F1: 0.9840
-- Train Accuracy: 0.9932
-- Epoch: 0
+- Train Loss: 0.0098
+- Validation Loss: 0.0282
+- Train Precision: 0.9825
+- Train Recall: 0.9852
+- Train F1: 0.9838
+- Train Accuracy: 0.9934
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0191     | 0.0275          | 0.9832          | 0.9848       | 0.9840   | 0.9932         | 0     |
+| 0.0116     | 0.0282          | 0.9825          | 0.9852       | 0.9838   | 0.9934         | 1     |
+| 0.0098     | 0.0282          | 0.9825          | 0.9852       | 0.9838   | 0.9934         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 1110121552