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: 1.6404
-- Accuracy: 0.4
 ## Model description
@@ -49,13 +49,34 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.4566        | 1.0   | 1724  | 1.3690          | 0.3      |
-| 1.2925        | 2.0   | 3448  | 1.3269          | 0.4      |
-| 1.1812        | 3.0   | 5172  | 1.3479          | 0.35     |
-| 1.0807        | 4.0   | 6896  | 1.3464          | 0.35     |
-| 0.9799        | 5.0   | 8620  | 1.3757          | 0.4      |
-| 0.8792        | 6.0   | 10344 | 1.5018          | 0.45     |
-| 0.7843        | 7.0   | 12068 | 1.6404          | 0.4      |
 ### 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: 0.1882
+- Accuracy: 0.97
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4562        | 1.0   | 1725  | 1.2637          | 0.46     |
+| 1.2814        | 2.0   | 3450  | 1.0774          | 0.55     |
+| 1.1775        | 3.0   | 5175  | 0.9072          | 0.675    |
+| 1.069         | 4.0   | 6900  | 0.7319          | 0.72     |
+| 0.9674        | 5.0   | 8625  | 0.6151          | 0.78     |
+| 0.8679        | 6.0   | 10350 | 0.5140          | 0.825    |
+| 0.7673        | 7.0   | 12075 | 0.4306          | 0.84     |
+| 0.6849        | 8.0   | 13800 | 0.3721          | 0.87     |
+| 0.6147        | 9.0   | 15525 | 0.3286          | 0.885    |
+| 0.5522        | 10.0  | 17250 | 0.2913          | 0.895    |
+| 0.4936        | 11.0  | 18975 | 0.2785          | 0.915    |
+| 0.4532        | 12.0  | 20700 | 0.2467          | 0.91     |
+| 0.4107        | 13.0  | 22425 | 0.2226          | 0.93     |
+| 0.3825        | 14.0  | 24150 | 0.2073          | 0.945    |
+| 0.3492        | 15.0  | 25875 | 0.2027          | 0.93     |
+| 0.3189        | 16.0  | 27600 | 0.2269          | 0.925    |
+| 0.2977        | 17.0  | 29325 | 0.2412          | 0.93     |
+| 0.2817        | 18.0  | 31050 | 0.1913          | 0.935    |
+| 0.266         | 19.0  | 32775 | 0.1517          | 0.94     |
+| 0.2437        | 20.0  | 34500 | 0.2012          | 0.935    |
+| 0.234         | 21.0  | 36225 | 0.1600          | 0.935    |
+| 0.2195        | 22.0  | 37950 | 0.1688          | 0.955    |
+| 0.2002        | 23.0  | 39675 | 0.1347          | 0.955    |
+| 0.1987        | 24.0  | 41400 | 0.1976          | 0.95     |
+| 0.1858        | 25.0  | 43125 | 0.1568          | 0.955    |
+| 0.1784        | 26.0  | 44850 | 0.1453          | 0.955    |
+| 0.169         | 27.0  | 46575 | 0.1547          | 0.955    |
+| 0.1597        | 28.0  | 48300 | 0.1882          | 0.97     |
 ### Framework versions