Training in progress epoch 34

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: 1.6723
-- Train Accuracy: 0.0991
-- Validation Loss: 1.5381
-- Validation Accuracy: 0.1029
-- Epoch: 33
+- Train Loss: 1.6215
+- Train Accuracy: 0.1002
+- Validation Loss: 1.5283
+- Validation Accuracy: 0.1015
+- Epoch: 34
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 1.8162     | 0.0961         | 1.6836          | 0.0983              | 31    |
 | 1.7370     | 0.0978         | 1.5869          | 0.1014              | 32    |
 | 1.6723     | 0.0991         | 1.5381          | 0.1029              | 33    |
+| 1.6215     | 0.1002         | 1.5283          | 0.1015              | 34    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2d508e8c9a88608c50eb9600b5eab615a38bda7a865d2dc0acb1c149c9f88ea7
 size 499741936