---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: my_awesome_qa_model
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: adversarial_qa
      type: adversarial_qa
      config: adversarialQA
      split: validation
    metrics:
    - type: f1
      value: 10.9366
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTJlZDFkMmFiM2M1ZjAwMDVhMDY2OGVlODI5OWFmM2NlODk4MmVkZWRhYmIyYWJiYWQ5MGY4ODRmNjg4ZGM4YSIsInZlcnNpb24iOjF9.ElTGYl-ccAPVewdR7NLgenv7gfPEjDeNbJec-D4WnUjM5v9EUEODI556InIIU93sdysmb2IxCRUDh1GhPUEaBg
    - type: exact_match
      value: 5.1333
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjM3OGRiNmY2NzAzYmJjMzY5OGNlNmJiM2UwYzc3M2I2ODcxZmJmZTdjNTljNzUwNWU2NzAwOTExYWM3MmQ4NCIsInZlcnNpb24iOjF9.5tao4TvwePtKiMu5hCkj_DquxM0-WsgAhtUHN1v1dBLU7f9Z55m2h7YYPFBXnHv_XHb8ffNnaSEbcy0zzpyABw
    - type: loss
      value: 4.779963970184326
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDA3MzJkODlhMDQwMTdkY2JiY2VjMWJmMzM0OGU5Nzg3YzI1NzhlNWNmYzU4ODY3ZWY0YTRmNWEyMGQ1YTFiYSIsInZlcnNpb24iOjF9.X-1lM5h3shxFnAqjqT3cYMgu25GKbpy5bXC50ov38GcAg-fY89j1ZGWXy-f10R-11mvdAT96drVSBM9q-QxRDw
---

<!-- 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. -->

# my_awesome_qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9972

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 2.5592          |
| 2.909         | 2.0   | 500  | 2.0550          |
| 2.909         | 3.0   | 750  | 1.9972          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3