Training in progress epoch 137

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: 0.8976
-- Train Accuracy: 0.1171
-- Validation Loss: 0.8984
-- Validation Accuracy: 0.1174
-- Epoch: 136
+- Train Loss: 0.8957
+- Train Accuracy: 0.1172
+- Validation Loss: 0.8857
+- Validation Accuracy: 0.1181
+- Epoch: 137
 
 ## Model description
 
@@ -181,6 +181,7 @@ The following hyperparameters were used during training:
 | 0.8999     | 0.1170         | 0.8979          | 0.1181              | 134   |
 | 0.8981     | 0.1171         | 0.8799          | 0.1186              | 135   |
 | 0.8976     | 0.1171         | 0.8984          | 0.1174              | 136   |
+| 0.8957     | 0.1172         | 0.8857          | 0.1181              | 137   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7172aaad998362485a5952b1ebdfd4eb617739ceb2a070bd5ad2a149ffd35520
 size 499741936