Training in progress epoch 30

README.md

@@ -15,11 +15,11 @@ 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: 6.7757
-- Train Accuracy: 0.0300
-- Validation Loss: 6.7311
-- Validation Accuracy: 0.0291
-- Epoch: 29
+- Train Loss: 6.7031
+- Train Accuracy: 0.0304
+- Validation Loss: 6.6316
+- Validation Accuracy: 0.0305
+- Epoch: 30
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 6.9296     | 0.0294         | 6.8759          | 0.0287              | 27    |
 | 6.8524     | 0.0296         | 6.8272          | 0.0285              | 28    |
 | 6.7757     | 0.0300         | 6.7311          | 0.0291              | 29    |
+| 6.7031     | 0.0304         | 6.6316          | 0.0305              | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3d7367b288aaf384d06ec1267cfcb2f1e09923db6da2af7d68f2109f131cb96
+oid sha256:49b0d57717055b74c52f4d0a7cbd3d599142d6aaedc5b6f7fe9da43bb296e792
 size 499741936