Only-Mike
/

ADHD_Test_qa_model

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0025
 ## Model description
@@ -39,27 +39,37 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 0.0860          |
-| No log        | 2.0   | 6    | 0.0470          |
-| No log        | 3.0   | 9    | 0.0275          |
-| No log        | 4.0   | 12   | 0.0140          |
-| No log        | 5.0   | 15   | 0.0082          |
-| No log        | 6.0   | 18   | 0.0059          |
-| No log        | 7.0   | 21   | 0.0047          |
-| No log        | 8.0   | 24   | 0.0039          |
-| No log        | 9.0   | 27   | 0.0035          |
-| No log        | 10.0  | 30   | 0.0032          |
-| No log        | 11.0  | 33   | 0.0030          |
-| No log        | 12.0  | 36   | 0.0027          |
-| No log        | 13.0  | 39   | 0.0026          |
-| No log        | 14.0  | 42   | 0.0025          |
-| No log        | 15.0  | 45   | 0.0025          |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.6790
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 25
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 2    | 5.8693          |
+| No log        | 2.0   | 4    | 5.7065          |
+| No log        | 3.0   | 6    | 5.5441          |
+| No log        | 4.0   | 8    | 5.3664          |
+| No log        | 5.0   | 10   | 5.1757          |
+| No log        | 6.0   | 12   | 4.9695          |
+| No log        | 7.0   | 14   | 4.7576          |
+| No log        | 8.0   | 16   | 4.5427          |
+| No log        | 9.0   | 18   | 4.3332          |
+| No log        | 10.0  | 20   | 4.1316          |
+| No log        | 11.0  | 22   | 3.9423          |
+| No log        | 12.0  | 24   | 3.7677          |
+| No log        | 13.0  | 26   | 3.6065          |
+| No log        | 14.0  | 28   | 3.4608          |
+| No log        | 15.0  | 30   | 3.3339          |
+| No log        | 16.0  | 32   | 3.2196          |
+| No log        | 17.0  | 34   | 3.1172          |
+| No log        | 18.0  | 36   | 3.0246          |
+| No log        | 19.0  | 38   | 2.9414          |
+| No log        | 20.0  | 40   | 2.8695          |
+| No log        | 21.0  | 42   | 2.8079          |
+| No log        | 22.0  | 44   | 2.7554          |
+| No log        | 23.0  | 46   | 2.7167          |
+| No log        | 24.0  | 48   | 2.6904          |
+| No log        | 25.0  | 50   | 2.6790          |
 ### Framework versions