Training in progress epoch 346

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: 0.7482
-- Train Accuracy: 0.1209
-- Validation Loss: 0.7993
-- Validation Accuracy: 0.1203
-- Epoch: 345
+- Train Loss: 0.7468
+- Train Accuracy: 0.1210
+- Validation Loss: 0.7939
+- Validation Accuracy: 0.1213
+- Epoch: 346
 
 ## Model description
 
@@ -390,6 +390,7 @@ The following hyperparameters were used during training:
 | 0.7485     | 0.1210         | 0.8091          | 0.1199              | 343   |
 | 0.7480     | 0.1210         | 0.8101          | 0.1201              | 344   |
 | 0.7482     | 0.1209         | 0.7993          | 0.1203              | 345   |
+| 0.7468     | 0.1210         | 0.7939          | 0.1213              | 346   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cae828178b3054670b0b7a24970fa2cc5535cb72fd68591abfbafee9d2bb9835
+oid sha256:ed2a3c0ffd6f16ef8139d18957b0b195539a035a5af54603d7d93c5e82c4f4d4
 size 499741936