irfanamal
/

roberta_multiple_choice

@@ -17,8 +17,8 @@ should 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4595
-- Accuracy: 0.502
 ## Model description
@@ -49,13 +49,38 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.4511        | 1.0   | 1682  | 1.3021          | 0.478    |
-| 1.3005        | 2.0   | 3364  | 1.2700          | 0.48     |
-| 1.2193        | 3.0   | 5046  | 1.3018          | 0.498    |
-| 1.1403        | 4.0   | 6728  | 1.3064          | 0.51     |
-| 1.0524        | 5.0   | 8410  | 1.3219          | 0.5      |
-| 0.9735        | 6.0   | 10092 | 1.4023          | 0.508    |
-| 0.8808        | 7.0   | 11774 | 1.4595          | 0.502    |
 ### Framework versions

 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1836
+- Accuracy: 0.955
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4783        | 1.0   | 1725  | 1.3350          | 0.405    |
+| 1.3252        | 2.0   | 3450  | 1.1893          | 0.565    |
+| 1.2436        | 3.0   | 5175  | 1.0734          | 0.57     |
+| 1.1636        | 4.0   | 6900  | 0.9469          | 0.61     |
+| 1.0818        | 5.0   | 8625  | 0.8554          | 0.675    |
+| 0.9999        | 6.0   | 10350 | 0.7437          | 0.715    |
+| 0.9227        | 7.0   | 12075 | 0.6424          | 0.76     |
+| 0.8361        | 8.0   | 13800 | 0.5657          | 0.8      |
+| 0.7636        | 9.0   | 15525 | 0.5241          | 0.815    |
+| 0.696         | 10.0  | 17250 | 0.4742          | 0.83     |
+| 0.6343        | 11.0  | 18975 | 0.4325          | 0.855    |
+| 0.5758        | 12.0  | 20700 | 0.4263          | 0.86     |
+| 0.5377        | 13.0  | 22425 | 0.3876          | 0.835    |
+| 0.4889        | 14.0  | 24150 | 0.3675          | 0.87     |
+| 0.4467        | 15.0  | 25875 | 0.3221          | 0.885    |
+| 0.4172        | 16.0  | 27600 | 0.3175          | 0.89     |
+| 0.3899        | 17.0  | 29325 | 0.3048          | 0.9      |
+| 0.3649        | 18.0  | 31050 | 0.2795          | 0.91     |
+| 0.3413        | 19.0  | 32775 | 0.2669          | 0.905    |
+| 0.3219        | 20.0  | 34500 | 0.2764          | 0.92     |
+| 0.3055        | 21.0  | 36225 | 0.2478          | 0.93     |
+| 0.2826        | 22.0  | 37950 | 0.2069          | 0.94     |
+| 0.2733        | 23.0  | 39675 | 0.2230          | 0.945    |
+| 0.2537        | 24.0  | 41400 | 0.2138          | 0.945    |
+| 0.2412        | 25.0  | 43125 | 0.1887          | 0.95     |
+| 0.2281        | 26.0  | 44850 | 0.1923          | 0.955    |
+| 0.2188        | 27.0  | 46575 | 0.1663          | 0.96     |
+| 0.2031        | 28.0  | 48300 | 0.2389          | 0.945    |
+| 0.2008        | 29.0  | 50025 | 0.1823          | 0.955    |
+| 0.1858        | 30.0  | 51750 | 0.1994          | 0.95     |
+| 0.1854        | 31.0  | 53475 | 0.2013          | 0.96     |
+| 0.1721        | 32.0  | 55200 | 0.1836          | 0.955    |
 ### Framework versions