Training in progress epoch 128

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: 0.9116
-- Train Accuracy: 0.1167
-- Validation Loss: 0.8940
-- Validation Accuracy: 0.1180
-- Epoch: 127
+- Train Loss: 0.9095
+- Train Accuracy: 0.1168
+- Validation Loss: 0.8945
+- Validation Accuracy: 0.1173
+- Epoch: 128
 
 ## Model description
 
@@ -172,6 +172,7 @@ The following hyperparameters were used during training:
 | 0.9158     | 0.1167         | 0.8877          | 0.1176              | 125   |
 | 0.9135     | 0.1168         | 0.9160          | 0.1169              | 126   |
 | 0.9116     | 0.1167         | 0.8940          | 0.1180              | 127   |
+| 0.9095     | 0.1168         | 0.8945          | 0.1173              | 128   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3466e59c0523ccd32271bbc5a1ff74d07375eea3829a095aa4fb0e0cea884d90
+oid sha256:b17e7e729705d050975564a8a59a207c895c67ae000356da9a3c4215e38d8be8
 size 499741936