Training in progress epoch 12

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 10.0496
-- Train Accuracy: 0.0002
-- Validation Loss: 9.9921
-- Validation Accuracy: 0.0007
-- Epoch: 10
+- Train Loss: 9.9424
+- Train Accuracy: 0.0035
+- Validation Loss: 9.8765
+- Validation Accuracy: 0.0110
+- Epoch: 12
 
 ## Model description
 
@@ -55,6 +55,8 @@ The following hyperparameters were used during training:
 | 10.1278    | 0.0000         | 10.0908         | 0.0000              | 8     |
 | 10.0848    | 0.0000         | 10.0405         | 0.0001              | 9     |
 | 10.0496    | 0.0002         | 9.9921          | 0.0007              | 10    |
+| 9.9940     | 0.0010         | 9.9422          | 0.0039              | 11    |
+| 9.9424     | 0.0035         | 9.8765          | 0.0110              | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:36f926ed029ed0ab6666c92a02999c88700b05f1f5601107a6a6b71e25b71b06
+oid sha256:22a085df8d60bc52f3e6deabf886a8364bee8f22eeda70c5cbc8128d4397d27c
 size 499741936