Training in progress epoch 18

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: 9.7065
-- Train Accuracy: 0.0219
-- Validation Loss: 9.6127
-- Validation Accuracy: 0.0222
-- Epoch: 16
+- Train Loss: 9.5757
+- Train Accuracy: 0.0226
+- Validation Loss: 9.4795
+- Validation Accuracy: 0.0219
+- Epoch: 18
 
 ## Model description
 
@@ -61,6 +61,8 @@ The following hyperparameters were used during training:
 | 9.8225     | 0.0155         | 9.7461          | 0.0209              | 14    |
 | 9.7670     | 0.0201         | 9.6768          | 0.0222              | 15    |
 | 9.7065     | 0.0219         | 9.6127          | 0.0222              | 16    |
+| 9.6352     | 0.0227         | 9.5445          | 0.0220              | 17    |
+| 9.5757     | 0.0226         | 9.4795          | 0.0219              | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f22e263c30bcf0ea0bc7355d14363ab6d0abb3fc89b572bcd73b9f8232ea5a65
 size 499741936