Training in progress epoch 32

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: 6.6361
-- Train Accuracy: 0.0306
-- Validation Loss: 6.5744
-- Validation Accuracy: 0.0307
-- Epoch: 31
+- Train Loss: 6.5578
+- Train Accuracy: 0.0312
+- Validation Loss: 6.4946
+- Validation Accuracy: 0.0312
+- Epoch: 32
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 6.7757     | 0.0300         | 6.7311          | 0.0291              | 29    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6db7dbe5b6dd4bd344575a9a84416c4380cf5bc006ac70e3bd463dc6b0f95b3
+oid sha256:40b7d3eb5af4abfb8a4bfae6eca62e5b6e1e4082f58db55b145edcfe235f4caf
 size 499741936