Training in progress epoch 75

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: 1.0881
-- Train Accuracy: 0.1124
-- Validation Loss: 1.0352
-- Validation Accuracy: 0.1145
-- Epoch: 74
+- Train Loss: 1.0839
+- Train Accuracy: 0.1125
+- Validation Loss: 1.0449
+- Validation Accuracy: 0.1144
+- Epoch: 75
 
 ## Model description
 
@@ -119,6 +119,7 @@ The following hyperparameters were used during training:
 | 1.0941     | 0.1122         | 1.0317          | 0.1140              | 72    |
 | 1.0902     | 0.1124         | 1.0439          | 0.1145              | 73    |
 | 1.0881     | 0.1124         | 1.0352          | 0.1145              | 74    |
+| 1.0839     | 0.1125         | 1.0449          | 0.1144              | 75    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9c78aca2a8855e2b79f73c5831ea2ee574a7a44427d533d3f286a268948ea1e3
 size 499741936