Training in progress epoch 33

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: 6.5578
-- Train Accuracy: 0.0312
-- Validation Loss: 6.4946
-- Validation Accuracy: 0.0312
-- Epoch: 32
+- Train Loss: 6.4674
+- Train Accuracy: 0.0319
+- Validation Loss: 6.4212
+- Validation Accuracy: 0.0314
+- Epoch: 33
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 6.7031     | 0.0304         | 6.6316          | 0.0305              | 30    |
 | 6.6361     | 0.0306         | 6.5744          | 0.0307              | 31    |
 | 6.5578     | 0.0312         | 6.4946          | 0.0312              | 32    |
+| 6.4674     | 0.0319         | 6.4212          | 0.0314              | 33    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:40b7d3eb5af4abfb8a4bfae6eca62e5b6e1e4082f58db55b145edcfe235f4caf
+oid sha256:c620d5af6904539b8808c4e914181e708701a18a9b4e3580607ed8ef08187323
 size 499741936