Training in progress epoch 130

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: 0.9081
-- Train Accuracy: 0.1168
-- Validation Loss: 0.9126
-- Validation Accuracy: 0.1166
-- Epoch: 129
+- Train Loss: 0.9064
+- Train Accuracy: 0.1169
+- Validation Loss: 0.8872
+- Validation Accuracy: 0.1177
+- Epoch: 130
 
 ## Model description
 
@@ -174,6 +174,7 @@ The following hyperparameters were used during training:
 | 0.9116     | 0.1167         | 0.8940          | 0.1180              | 127   |
 | 0.9095     | 0.1168         | 0.8945          | 0.1173              | 128   |
 | 0.9081     | 0.1168         | 0.9126          | 0.1166              | 129   |
+| 0.9064     | 0.1169         | 0.8872          | 0.1177              | 130   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:30734d9a9d688a6fe1e36aef7f84df99c5ece965b4f584e98af0a1c54cf0efa3
 size 499741936