Training in progress epoch 71

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: 1.0807
-- Train Accuracy: 0.1126
-- Validation Loss: 1.0215
-- Validation Accuracy: 0.1148
-- Epoch: 70
+- Train Loss: 1.0758
+- Train Accuracy: 0.1127
+- Validation Loss: 1.0269
+- Validation Accuracy: 0.1143
+- Epoch: 71
 
 ## Model description
 
@@ -115,6 +115,7 @@ The following hyperparameters were used during training:
 | 1.0931     | 0.1122         | 1.0513          | 0.1134              | 68    |
 | 1.0860     | 0.1124         | 1.0264          | 0.1137              | 69    |
 | 1.0807     | 0.1126         | 1.0215          | 0.1148              | 70    |
+| 1.0758     | 0.1127         | 1.0269          | 0.1143              | 71    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b6dc0ac406c6c6985726efabed43adabcefc6e2b703df366a60cde623f1847cf
 size 499741936