irfanamal
/

electra_multiple_choice

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4687
-- Accuracy: 0.55
 ## Model description
@@ -49,34 +49,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6127        | 1.0   | 12   | 1.6036          | 0.4      |
-| 1.6001        | 2.0   | 24   | 1.5999          | 0.4      |
-| 1.5916        | 3.0   | 36   | 1.5950          | 0.5      |
-| 1.5849        | 4.0   | 48   | 1.5886          | 0.45     |
-| 1.5793        | 5.0   | 60   | 1.5803          | 0.35     |
-| 1.5642        | 6.0   | 72   | 1.5700          | 0.45     |
-| 1.5416        | 7.0   | 84   | 1.5605          | 0.35     |
-| 1.5106        | 8.0   | 96   | 1.5492          | 0.35     |
-| 1.479         | 9.0   | 108  | 1.5357          | 0.35     |
-| 1.443         | 10.0  | 120  | 1.5292          | 0.4      |
-| 1.4114        | 11.0  | 132  | 1.5169          | 0.35     |
-| 1.3505        | 12.0  | 144  | 1.5082          | 0.35     |
-| 1.2985        | 13.0  | 156  | 1.5072          | 0.35     |
-| 1.2493        | 14.0  | 168  | 1.4992          | 0.35     |
-| 1.1686        | 15.0  | 180  | 1.4915          | 0.4      |
-| 1.1307        | 16.0  | 192  | 1.4833          | 0.4      |
-| 1.0781        | 17.0  | 204  | 1.4744          | 0.3      |
-| 1.0179        | 18.0  | 216  | 1.4659          | 0.5      |
-| 0.947         | 19.0  | 228  | 1.4576          | 0.5      |
-| 0.9518        | 20.0  | 240  | 1.4522          | 0.5      |
-| 0.8961        | 21.0  | 252  | 1.4535          | 0.45     |
-| 0.8691        | 22.0  | 264  | 1.4598          | 0.45     |
-| 0.8041        | 23.0  | 276  | 1.4512          | 0.45     |
-| 0.7875        | 24.0  | 288  | 1.4568          | 0.45     |
-| 0.7282        | 25.0  | 300  | 1.4601          | 0.45     |
-| 0.7203        | 26.0  | 312  | 1.4595          | 0.5      |
-| 0.6602        | 27.0  | 324  | 1.4606          | 0.5      |
-| 0.6311        | 28.0  | 336  | 1.4687          | 0.55     |
 ### Framework versions

 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.5073
+- Accuracy: 0.465
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.5492        | 1.0   | 407  | 1.4459          | 0.455    |
+| 1.3622        | 2.0   | 814  | 1.3625          | 0.43     |
+| 1.237         | 3.0   | 1221 | 1.3281          | 0.465    |
+| 1.1388        | 4.0   | 1628 | 1.3123          | 0.445    |
+| 1.0276        | 5.0   | 2035 | 1.2981          | 0.455    |
+| 0.9412        | 6.0   | 2442 | 1.3247          | 0.45     |
+| 0.8528        | 7.0   | 2849 | 1.3685          | 0.45     |
+| 0.7686        | 8.0   | 3256 | 1.4333          | 0.44     |
+| 0.6779        | 9.0   | 3663 | 1.4563          | 0.42     |
+| 0.6231        | 10.0  | 4070 | 1.5073          | 0.465    |
 ### Framework versions