Training in progress epoch 35

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: 1.3703
-- Train Accuracy: 0.1058
-- Validation Loss: 1.2861
-- Validation Accuracy: 0.1072
-- Epoch: 34
+- Train Loss: 1.3550
+- Train Accuracy: 0.1062
+- Validation Loss: 1.2705
+- Validation Accuracy: 0.1082
+- Epoch: 35
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 1.4059     | 0.1050         | 1.3096          | 0.1070              | 32    |
 | 1.3873     | 0.1054         | 1.3164          | 0.1072              | 33    |
 | 1.3703     | 0.1058         | 1.2861          | 0.1072              | 34    |
+| 1.3550     | 0.1062         | 1.2705          | 0.1082              | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8b301ab778c7c70e9b880da049b696ded6ee4f2e29022d9799f0f341da1d4f9c
 size 499741936