Training in progress epoch 62

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: 1.1370
-- Train Accuracy: 0.1112
-- Validation Loss: 1.0830
-- Validation Accuracy: 0.1140
-- Epoch: 61
+- Train Loss: 1.1309
+- Train Accuracy: 0.1113
+- Validation Loss: 1.0762
+- Validation Accuracy: 0.1119
+- Epoch: 62
 
 ## Model description
 
@@ -106,6 +106,7 @@ The following hyperparameters were used during training:
 | 1.1530     | 0.1108         | 1.1172          | 0.1118              | 59    |
 | 1.1462     | 0.1110         | 1.0703          | 0.1126              | 60    |
 | 1.1370     | 0.1112         | 1.0830          | 0.1140              | 61    |
+| 1.1309     | 0.1113         | 1.0762          | 0.1119              | 62    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e9d80e7c7ffad2f5cf91197950ead8cfb8a7c7e18d7b3e8acb6270747314ca8
+oid sha256:ea16b72af9bf2c3658f3e28a11975e943ce29d3a7044e924a1f34bb935d6499b
 size 499741936