README.md

---
language: en
license: mit
model-index:
- name: distilbert-finetuned-uncased
  results:
  - task:
      type: question-answering
    dataset:
      name: SQuAD v2
      type: squad_v2
    metrics:
    - type: Exact
      value: 23.347090036216628
    - type: F1
      value: 26.869992349988973
    - type: Total
      value: 11873
    - type: Hasans Exact
      value: 38.630229419703106
    - type: Hasans F1
      value: 45.686136837283904
    - type: Hasans Total
      value: 5928
    - type: Noans Exact
      value: 8.107653490328007
    - type: Noans F1
      value: 8.107653490328007
    - type: Noans Total
      value: 5945
    - type: Best Exact
      value: 50.11370336056599
    - type: Best Exact Thresh
      value: 0.0
    - type: Best F1
      value: 50.11370336056599
    - type: Best F1 Thresh
      value: 0.0
---

# Model Card for Model ID

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## Model Details

### Model Description

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- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** mit
- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure 

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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