Training in progress epoch 79

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: 8.0307
-- Train Accuracy: 0.0235
-- Validation Loss: 8.0278
-- Validation Accuracy: 0.0222
-- Epoch: 77
+- Train Loss: 8.0276
+- Train Accuracy: 0.0229
+- Validation Loss: 8.0099
+- Validation Accuracy: 0.0221
+- Epoch: 79
 
 ## Model description
 
@@ -122,6 +122,8 @@ The following hyperparameters were used during training:
 | 8.0661     | 0.0233         | 8.0573          | 0.0222              | 75    |
 | 8.0548     | 0.0231         | 8.0313          | 0.0226              | 76    |
 | 8.0307     | 0.0235         | 8.0278          | 0.0222              | 77    |
+| 8.0626     | 0.0226         | 8.0084          | 0.0224              | 78    |
+| 8.0276     | 0.0229         | 8.0099          | 0.0221              | 79    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f8e022c629f6fb8c91017aa27bb0f190e39347f7f2eace338b05741a2e3739c
+oid sha256:bc22b4de34da0fb612b6114114ef605ec9da3cc2225b362dcf62773452bb4d5f
 size 499741936