Training in progress epoch 1

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: 1.3581
-- Validation Loss: 1.1546
+- Train Loss: 1.1648
+- Validation Loss: 1.1125
 - Train Accuracy: 0.6667
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3581     | 1.1546          | 0.6667         | 0     |
+| 1.1648     | 1.1125          | 0.6667         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b9dc23e8424daf17dc7653c7892a28c93ce9039bee5b0927e2868fc9bab3dbc
+oid sha256:0d1ef26ebb015f19c4d5fa532bfec18905be90402c960210e49055992a132b03
 size 1112482624