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ADHD_Test_qa_model

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update model card README.md

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README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6790
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  ## Model description
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@@ -34,42 +34,67 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 25
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 2 | 5.8693 |
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- | No log | 2.0 | 4 | 5.7065 |
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- | No log | 3.0 | 6 | 5.5441 |
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- | No log | 4.0 | 8 | 5.3664 |
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- | No log | 5.0 | 10 | 5.1757 |
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- | No log | 6.0 | 12 | 4.9695 |
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- | No log | 7.0 | 14 | 4.7576 |
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- | No log | 8.0 | 16 | 4.5427 |
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- | No log | 9.0 | 18 | 4.3332 |
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- | No log | 10.0 | 20 | 4.1316 |
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- | No log | 11.0 | 22 | 3.9423 |
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- | No log | 12.0 | 24 | 3.7677 |
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- | No log | 13.0 | 26 | 3.6065 |
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- | No log | 14.0 | 28 | 3.4608 |
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- | No log | 15.0 | 30 | 3.3339 |
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- | No log | 16.0 | 32 | 3.2196 |
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- | No log | 17.0 | 34 | 3.1172 |
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- | No log | 18.0 | 36 | 3.0246 |
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- | No log | 19.0 | 38 | 2.9414 |
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- | No log | 20.0 | 40 | 2.8695 |
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- | No log | 21.0 | 42 | 2.8079 |
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- | No log | 22.0 | 44 | 2.7554 |
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- | No log | 23.0 | 46 | 2.7167 |
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- | No log | 24.0 | 48 | 2.6904 |
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- | No log | 25.0 | 50 | 2.6790 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4017
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 5.7108 |
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+ | No log | 2.0 | 8 | 5.2738 |
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+ | No log | 3.0 | 12 | 4.7230 |
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+ | No log | 4.0 | 16 | 4.1077 |
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+ | No log | 5.0 | 20 | 3.5572 |
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+ | No log | 6.0 | 24 | 3.0896 |
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+ | No log | 7.0 | 28 | 2.7014 |
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+ | No log | 8.0 | 32 | 2.3214 |
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+ | No log | 9.0 | 36 | 1.9881 |
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+ | No log | 10.0 | 40 | 1.7710 |
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+ | No log | 11.0 | 44 | 1.6145 |
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+ | No log | 12.0 | 48 | 1.4887 |
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+ | No log | 13.0 | 52 | 1.4249 |
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+ | No log | 14.0 | 56 | 1.4550 |
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+ | No log | 15.0 | 60 | 1.4601 |
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+ | No log | 16.0 | 64 | 1.3702 |
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+ | No log | 17.0 | 68 | 1.4386 |
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+ | No log | 18.0 | 72 | 1.4159 |
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+ | No log | 19.0 | 76 | 1.3562 |
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+ | No log | 20.0 | 80 | 1.4087 |
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+ | No log | 21.0 | 84 | 1.2723 |
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+ | No log | 22.0 | 88 | 1.2412 |
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+ | No log | 23.0 | 92 | 1.3045 |
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+ | No log | 24.0 | 96 | 1.3920 |
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+ | No log | 25.0 | 100 | 1.4191 |
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+ | No log | 26.0 | 104 | 1.3147 |
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+ | No log | 27.0 | 108 | 1.2859 |
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+ | No log | 28.0 | 112 | 1.3068 |
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+ | No log | 29.0 | 116 | 1.2959 |
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+ | No log | 30.0 | 120 | 1.2843 |
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+ | No log | 31.0 | 124 | 1.2627 |
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+ | No log | 32.0 | 128 | 1.2589 |
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+ | No log | 33.0 | 132 | 1.2849 |
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+ | No log | 34.0 | 136 | 1.3224 |
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+ | No log | 35.0 | 140 | 1.3480 |
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+ | No log | 36.0 | 144 | 1.3615 |
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+ | No log | 37.0 | 148 | 1.3718 |
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+ | No log | 38.0 | 152 | 1.3896 |
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+ | No log | 39.0 | 156 | 1.4117 |
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+ | No log | 40.0 | 160 | 1.4279 |
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+ | No log | 41.0 | 164 | 1.4215 |
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+ | No log | 42.0 | 168 | 1.3992 |
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+ | No log | 43.0 | 172 | 1.3916 |
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+ | No log | 44.0 | 176 | 1.3926 |
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+ | No log | 45.0 | 180 | 1.3969 |
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+ | No log | 46.0 | 184 | 1.4013 |
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+ | No log | 47.0 | 188 | 1.4027 |
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+ | No log | 48.0 | 192 | 1.4014 |
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+ | No log | 49.0 | 196 | 1.4015 |
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+ | No log | 50.0 | 200 | 1.4017 |
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  ### Framework versions