Training in progress epoch 63

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: 1.1309
-- Train Accuracy: 0.1113
-- Validation Loss: 1.0762
-- Validation Accuracy: 0.1119
-- Epoch: 62
+- Train Loss: 1.1234
+- Train Accuracy: 0.1115
+- Validation Loss: 1.0625
+- Validation Accuracy: 0.1137
+- Epoch: 63
 
 ## Model description
 
@@ -107,6 +107,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 1.1234     | 0.1115         | 1.0625          | 0.1137              | 63    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ea16b72af9bf2c3658f3e28a11975e943ce29d3a7044e924a1f34bb935d6499b
+oid sha256:bdb4f8b44696c14b3f0de57e926f34cdab6b7677f6250ebbd39e9ab5b9532dc2
 size 499741936