Training in progress epoch 9

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: 10.1126
-- Train Accuracy: 0.0
-- Validation Loss: 10.0506
-- Validation Accuracy: 0.0000
-- Epoch: 6
+- Train Loss: 9.8771
+- Train Accuracy: 0.0086
+- Validation Loss: 9.7741
+- Validation Accuracy: 0.0208
+- Epoch: 9
 
 ## Model description
 
@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
 | 10.2161    | 0.0000         | 10.1759         | 0.0000              | 4     |
 | 10.1694    | 0.0            | 10.1119         | 0.0                 | 5     |
 | 10.1126    | 0.0            | 10.0506         | 0.0000              | 6     |
+| 10.0476    | 0.0001         | 9.9642          | 0.0013              | 7     |
+| 9.9589     | 0.0015         | 9.8694          | 0.0116              | 8     |
+| 9.8771     | 0.0086         | 9.7741          | 0.0208              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1ddc2ad0f3de8b16baebd9e6c512929434e45e35f368d96367767c47d2895a3a
 size 499741936