Training in progress epoch 320

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: 0.7598
-- Train Accuracy: 0.1207
-- Validation Loss: 0.8091
-- Validation Accuracy: 0.1216
-- Epoch: 319
+- Train Loss: 0.7579
+- Train Accuracy: 0.1208
+- Validation Loss: 0.8174
+- Validation Accuracy: 0.1202
+- Epoch: 320
 
 ## Model description
 
@@ -364,6 +364,7 @@ The following hyperparameters were used during training:
 | 0.7592     | 0.1207         | 0.8228          | 0.1198              | 317   |
 | 0.7678     | 0.1205         | 0.8008          | 0.1205              | 318   |
 | 0.7598     | 0.1207         | 0.8091          | 0.1216              | 319   |
+| 0.7579     | 0.1208         | 0.8174          | 0.1202              | 320   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:821a9c1e7aea31367739032ff29aa40614ae6a2377d0e41f213f0c6d538bac51
 size 499741936