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README.md
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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: 0.0025
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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: 15
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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 | 3 | 0.0860 |
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| No log | 2.0 | 6 | 0.0470 |
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| No log | 3.0 | 9 | 0.0275 |
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| No log | 4.0 | 12 | 0.0140 |
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| No log | 5.0 | 15 | 0.0082 |
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| No log | 6.0 | 18 | 0.0059 |
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| No log | 7.0 | 21 | 0.0047 |
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| No log | 8.0 | 24 | 0.0039 |
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| No log | 9.0 | 27 | 0.0035 |
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| No log | 10.0 | 30 | 0.0032 |
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| No log | 11.0 | 33 | 0.0030 |
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| No log | 12.0 | 36 | 0.0027 |
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| No log | 13.0 | 39 | 0.0026 |
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| No log | 14.0 | 42 | 0.0025 |
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| No log | 15.0 | 45 | 0.0025 |
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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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