Training in progress epoch 123

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: 0.9205
-- Train Accuracy: 0.1166
-- Validation Loss: 0.8979
-- Validation Accuracy: 0.1173
-- Epoch: 122
+- Train Loss: 0.9181
+- Train Accuracy: 0.1167
+- Validation Loss: 0.8989
+- Validation Accuracy: 0.1174
+- Epoch: 123
 
 ## Model description
 
@@ -167,6 +167,7 @@ The following hyperparameters were used during training:
 | 0.9233     | 0.1165         | 0.9058          | 0.1174              | 120   |
 | 0.9221     | 0.1165         | 0.9106          | 0.1175              | 121   |
 | 0.9205     | 0.1166         | 0.8979          | 0.1173              | 122   |
+| 0.9181     | 0.1167         | 0.8989          | 0.1174              | 123   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:724ecf6b1aa533211c2eb2631aac7e74bb060304acfc679bf194976bcb950c9a
 size 499741936