Training in progress epoch 83

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: 1.0272
-- Train Accuracy: 0.1138
-- Validation Loss: 1.0132
-- Validation Accuracy: 0.1138
-- Epoch: 82
+- Train Loss: 1.0211
+- Train Accuracy: 0.1140
+- Validation Loss: 0.9575
+- Validation Accuracy: 0.1150
+- Epoch: 83
 
 ## Model description
 
@@ -127,6 +127,7 @@ The following hyperparameters were used during training:
 | 1.0340     | 0.1137         | 1.0059          | 0.1153              | 80    |
 | 1.0296     | 0.1138         | 0.9961          | 0.1152              | 81    |
 | 1.0272     | 0.1138         | 1.0132          | 0.1138              | 82    |
+| 1.0211     | 0.1140         | 0.9575          | 0.1150              | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:070c4ce8c6d1adc2ed90ebd4aa0a13cafd2c0f3f28da336709f436ec0290e15f
+oid sha256:3ad2523a6b68074ee2c9842a18b9afb8cc42dcb4269b02241418b71c8d5adaea
 size 499741936