Training in progress epoch 16

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ayshi/basic_roberta](https://huggingface.co/ayshi/basic_roberta) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0251
-- Validation Loss: 0.9806
-- Train Accuracy: 0.8222
-- Epoch: 15
+- Train Loss: 0.0130
+- Validation Loss: 1.0757
+- Train Accuracy: 0.8356
+- Epoch: 16
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.0134     | 1.2929          | 0.7911         | 13    |
 | 0.0377     | 0.8565          | 0.8133         | 14    |
 | 0.0251     | 0.9806          | 0.8222         | 15    |
+| 0.0130     | 1.0757          | 0.8356         | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:661cc0f5146135e0e8f8bb0d1946e677ffe04e6fe0128cff1f450326cef47b27
 size 1112482624