Training in progress epoch 109

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: 0.9488
-- Train Accuracy: 0.1158
-- Validation Loss: 0.9131
-- Validation Accuracy: 0.1176
-- Epoch: 108
+- Train Loss: 0.9471
+- Train Accuracy: 0.1159
+- Validation Loss: 0.9360
+- Validation Accuracy: 0.1174
+- Epoch: 109
 
 ## Model description
 
@@ -153,6 +153,7 @@ The following hyperparameters were used during training:
 | 0.9537     | 0.1157         | 0.9331          | 0.1168              | 106   |
 | 0.9515     | 0.1158         | 0.9434          | 0.1161              | 107   |
 | 0.9488     | 0.1158         | 0.9131          | 0.1176              | 108   |
+| 0.9471     | 0.1159         | 0.9360          | 0.1174              | 109   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4f13fd9cfb48248331d7d74eac3335f8754ae55bd4d5c311949cceb57e531c2e
 size 499741936