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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ADHD_Test_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ADHD_Test_qa_model
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: 0.5306
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 43
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 2 | 5.7835 |
| No log | 2.0 | 4 | 5.5864 |
| No log | 3.0 | 6 | 5.3756 |
| No log | 4.0 | 8 | 5.1400 |
| No log | 5.0 | 10 | 4.8788 |
| No log | 6.0 | 12 | 4.6019 |
| No log | 7.0 | 14 | 4.3225 |
| No log | 8.0 | 16 | 4.0563 |
| No log | 9.0 | 18 | 3.8043 |
| No log | 10.0 | 20 | 3.5541 |
| No log | 11.0 | 22 | 3.3095 |
| No log | 12.0 | 24 | 3.0757 |
| No log | 13.0 | 26 | 2.8604 |
| No log | 14.0 | 28 | 2.6582 |
| No log | 15.0 | 30 | 2.4608 |
| No log | 16.0 | 32 | 2.2602 |
| No log | 17.0 | 34 | 2.0589 |
| No log | 18.0 | 36 | 1.8666 |
| No log | 19.0 | 38 | 1.6800 |
| No log | 20.0 | 40 | 1.5017 |
| No log | 21.0 | 42 | 1.3370 |
| No log | 22.0 | 44 | 1.1987 |
| No log | 23.0 | 46 | 1.0752 |
| No log | 24.0 | 48 | 0.9697 |
| No log | 25.0 | 50 | 0.8877 |
| No log | 26.0 | 52 | 0.8270 |
| No log | 27.0 | 54 | 0.7765 |
| No log | 28.0 | 56 | 0.7293 |
| No log | 29.0 | 58 | 0.6861 |
| No log | 30.0 | 60 | 0.6527 |
| No log | 31.0 | 62 | 0.6246 |
| No log | 32.0 | 64 | 0.6006 |
| No log | 33.0 | 66 | 0.5805 |
| No log | 34.0 | 68 | 0.5658 |
| No log | 35.0 | 70 | 0.5547 |
| No log | 36.0 | 72 | 0.5487 |
| No log | 37.0 | 74 | 0.5440 |
| No log | 38.0 | 76 | 0.5409 |
| No log | 39.0 | 78 | 0.5386 |
| No log | 40.0 | 80 | 0.5354 |
| No log | 41.0 | 82 | 0.5327 |
| No log | 42.0 | 84 | 0.5313 |
| No log | 43.0 | 86 | 0.5306 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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