README.md

---
language:
- en
license: apache-2.0
datasets:
- squad_v2
metrics:
- squad_v2
pipeline_tag: question-answering
model-index:
- name: 96harsh56/bert_test1
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: social_i_qa
      type: social_i_qa
      config: default
      split: train
    metrics:
    - type: f1
      value: 6.9547
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmU1ODZkYzNmY2EwZWM0ZTZjZWI2MGU4NzMzZGMyMzU4OTcxNmQyNjZhOGEyOTU4YzA2YjRmYWVlODM5Njk1MiIsInZlcnNpb24iOjF9.4bKMSwGCOcZ76vc0AeISZeSrdNlcCp0YdQkaNxRkKLCJsOOAzMZGXkmPJ30UxaL9EPuMqVvPGYVsJO2dxk-kAA
    - type: exact_match
      value: 0.0212
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzkzYjM1MmU3NGRmMTQ5ZWRkOGM2YWQzNmYyMTVmOTQ3ZGE1NTFiMDY0N2YwYjQ3MDRhODQ0ZjU3Njg3MTgwMSIsInZlcnNpb24iOjF9.ZuJLEz3O7cf9TlpVWvnWAYWratns86dIEQxz-y9JmE720jGn7QUf4VVYh6qr3WSPegS35wqLBRZVormODj2TAw
    - type: loss
      value: 4.35883903503418
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODdiNmQ2NDYxMWUxYTdiYTk5YzM0NzcyMmY1MTEwNjI4MGIwYjRiNTRmY2Q4MmJjOWJmNGRmYmM2ZWQyZjEyNCIsInZlcnNpb24iOjF9.CWzakPi_R0qBs-LOg5_ArQdsmFxLJIK3JMe3rLP6LKhdpYx_sc6JmLMJ_TUP6w3PgTyEnQoNHnPgLKmyf4K_Cg
---
# Model Card for Model ID

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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

# Model Details

## Model Description

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# Uses

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## Direct Use

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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 [optional]

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### Preprocessing

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### Speeds, Sizes, Times

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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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# Citation [optional]

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**BibTeX:**

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# Glossary [optional]

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