Training in progress epoch 89

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: 7.9369
-- Train Accuracy: 0.0227
-- Validation Loss: 7.9015
-- Validation Accuracy: 0.0225
-- Epoch: 87
+- Train Loss: 7.9367
+- Train Accuracy: 0.0226
+- Validation Loss: 7.8988
+- Validation Accuracy: 0.0220
+- Epoch: 89
 
 ## Model description
 
@@ -132,6 +132,8 @@ The following hyperparameters were used during training:
 | 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    |
+| 7.9309     | 0.0229         | 7.9010          | 0.0224              | 88    |
+| 7.9367     | 0.0226         | 7.8988          | 0.0220              | 89    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6974d827a9f311fec2d1c98b19915b1072c00b82f5766de9feabe20a7148675e
 size 499741936