Training in progress epoch 95

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: 7.8451
-- Train Accuracy: 0.0232
-- Validation Loss: 7.8488
-- Validation Accuracy: 0.0221
-- Epoch: 93
+- Train Loss: 7.8434
+- Train Accuracy: 0.0231
+- Validation Loss: 7.8168
+- Validation Accuracy: 0.0229
+- Epoch: 95
 
 ## Model description
 
@@ -138,6 +138,8 @@ The following hyperparameters were used during training:
 | 7.8785     | 0.0233         | 7.8527          | 0.0225              | 91    |
 | 7.8998     | 0.0226         | 7.8509          | 0.0219              | 92    |
 | 7.8451     | 0.0232         | 7.8488          | 0.0221              | 93    |
+| 7.8596     | 0.0231         | 7.8310          | 0.0222              | 94    |
+| 7.8434     | 0.0231         | 7.8168          | 0.0229              | 95    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a1ff2604b24840bc1f6f8820d0c41fe7870a4c44973350b714265f2180a9279
+oid sha256:c9c332cde89358e2604dea1d002fd206e28505a123d444d6cd6e79922d1bf210
 size 499741936