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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ADHD_Test_qa_model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ADHD_Test_qa_model |
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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: 1.0061 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 40 |
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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 | 5.7461 | |
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| No log | 2.0 | 4 | 5.5441 | |
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| No log | 3.0 | 6 | 5.3226 | |
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| No log | 4.0 | 8 | 5.0725 | |
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| No log | 5.0 | 10 | 4.8020 | |
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| No log | 6.0 | 12 | 4.5135 | |
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| No log | 7.0 | 14 | 4.2225 | |
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| No log | 8.0 | 16 | 3.9429 | |
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| No log | 9.0 | 18 | 3.6847 | |
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| No log | 10.0 | 20 | 3.4510 | |
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| No log | 11.0 | 22 | 3.2467 | |
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| No log | 12.0 | 24 | 3.0685 | |
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| No log | 13.0 | 26 | 2.9113 | |
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| No log | 14.0 | 28 | 2.7682 | |
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| No log | 15.0 | 30 | 2.6341 | |
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| No log | 16.0 | 32 | 2.4968 | |
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| No log | 17.0 | 34 | 2.3575 | |
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| No log | 18.0 | 36 | 2.2179 | |
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| No log | 19.0 | 38 | 2.0802 | |
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| No log | 20.0 | 40 | 1.9476 | |
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| No log | 21.0 | 42 | 1.8254 | |
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| No log | 22.0 | 44 | 1.6981 | |
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| No log | 23.0 | 46 | 1.5769 | |
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| No log | 24.0 | 48 | 1.4611 | |
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| No log | 25.0 | 50 | 1.3675 | |
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| No log | 26.0 | 52 | 1.2925 | |
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| No log | 27.0 | 54 | 1.2285 | |
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| No log | 28.0 | 56 | 1.1718 | |
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| No log | 29.0 | 58 | 1.1221 | |
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| No log | 30.0 | 60 | 1.0865 | |
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| No log | 31.0 | 62 | 1.0644 | |
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| No log | 32.0 | 64 | 1.0428 | |
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| No log | 33.0 | 66 | 1.0304 | |
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| No log | 34.0 | 68 | 1.0209 | |
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| No log | 35.0 | 70 | 1.0109 | |
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| No log | 36.0 | 72 | 1.0079 | |
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| No log | 37.0 | 74 | 1.0096 | |
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| No log | 38.0 | 76 | 1.0071 | |
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| No log | 39.0 | 78 | 1.0064 | |
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| No log | 40.0 | 80 | 1.0061 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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