Training in progress epoch 2

README.md

@@ -15,10 +15,10 @@ 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: 1.3476
-- Validation Loss: 1.1517
+- Train Loss: 1.0404
+- Validation Loss: 1.0023
 - Train Accuracy: 0.6667
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3476     | 1.1517          | 0.6667         | 0     |
+| 1.1645     | 1.1034          | 0.6667         | 1     |
+| 1.0404     | 1.0023          | 0.6667         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d4e398f7ce040714d02d42f78e0bb2e0bb9a787863b871d7147339dd4883632
+oid sha256:e79435e346e5817f208cadda014afe68aa4c5298d6368515dd566fc7ae4bece4
 size 1112482624