Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ 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: 0.4309
-- Validation Loss: 0.2186
-- Train Accuracy: 0.9249
-- Epoch: 0
+- Train Loss: 0.0768
+- Validation Loss: 0.2352
+- Train Accuracy: 0.9348
+- Epoch: 4
 
 ## Model description
 
@@ -44,6 +44,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.4309     | 0.2186          | 0.9249         | 0     |
+| 0.1939     | 0.1786          | 0.9348         | 1     |
+| 0.1383     | 0.1973          | 0.9348         | 2     |
+| 0.1000     | 0.2296          | 0.9348         | 3     |
+| 0.0768     | 0.2352          | 0.9348         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81efdddb1b785d9b1b40db4187c63c82e9b22b3d23d6636f78e2618de5a42ef6
+oid sha256:4b63cb633cdb61c217bb6916d2c5f334e97f17026b0caf64f416576f5e6c0cb0
 size 1112470400