Training in progress epoch 87

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: 7.9616
-- Train Accuracy: 0.0228
-- Validation Loss: 7.9288
-- Validation Accuracy: 0.0223
-- Epoch: 85
+- Train Loss: 7.9369
+- Train Accuracy: 0.0227
+- Validation Loss: 7.9015
+- Validation Accuracy: 0.0225
+- Epoch: 87
 
 ## Model description
 
@@ -130,6 +130,8 @@ The following hyperparameters were used during training:
 | 7.9500     | 0.0235         | 7.9505          | 0.0223              | 83    |
 | 7.9519     | 0.0234         | 7.9711          | 0.0217              | 84    |
 | 7.9616     | 0.0228         | 7.9288          | 0.0223              | 85    |
+| 7.9803     | 0.0225         | 7.8997          | 0.0226              | 86    |
+| 7.9369     | 0.0227         | 7.9015          | 0.0225              | 87    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b293bedefa1a64c8ec4f55652160ad91ea948191987992fbb135302592626841
 size 499741936