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: 1.6215
-- Train Accuracy: 0.1002
-- Validation Loss: 1.5283
-- Validation Accuracy: 0.1015
-- Epoch: 34
+- Train Loss: 1.5753
+- Train Accuracy: 0.1012
+- Validation Loss: 1.4736
+- Validation Accuracy: 0.1037
+- Epoch: 35
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 1.5753     | 0.1012         | 1.4736          | 0.1037              | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d508e8c9a88608c50eb9600b5eab615a38bda7a865d2dc0acb1c149c9f88ea7
+oid sha256:601b88c2a0c0072d8bf77d5bfda12a81e000a3bc2994d1a24d8f33fb68bbd2bf
 size 499741936