Training in progress epoch 120

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: 0.9266
-- Train Accuracy: 0.1163
-- Validation Loss: 0.8892
-- Validation Accuracy: 0.1170
-- Epoch: 119
+- Train Loss: 0.9233
+- Train Accuracy: 0.1165
+- Validation Loss: 0.9058
+- Validation Accuracy: 0.1174
+- Epoch: 120
 
 ## Model description
 
@@ -164,6 +164,7 @@ The following hyperparameters were used during training:
 | 0.9295     | 0.1164         | 0.9292          | 0.1169              | 117   |
 | 0.9287     | 0.1163         | 0.9243          | 0.1169              | 118   |
 | 0.9266     | 0.1163         | 0.8892          | 0.1170              | 119   |
+| 0.9233     | 0.1165         | 0.9058          | 0.1174              | 120   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:aaa26dd7ad85ae0ace2c05f80333722e8a567f945d3e3531c883caca31de7719
 size 499741936