---
license: mit
tags:
- generated_from_trainer
datasets:
- squad_v2
- quoref
- adversarial_qa
- duorc
task:
- question-answering
model-index:
- name: rob-base-superqa
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: adversarial_qa
      type: adversarial_qa
      config: adversarialQA
      split: validation
    metrics:
    - type: exact_match
      value: 43.8667
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzIxMWZiZWM1MTJmMGIxM2I5NTFjNGI5OTJiNDdjODQ3NDNkYjRkYTI3ZmZkNGVmMGYzZDk5MTZhNDE4YzI1YiIsInZlcnNpb24iOjF9.QAj_iwD0yN2woSbGAN9xVRKoDKxldZbleFeJr77P2s7xWQBsKCuY0b5-2WIL79EcTCChvjNITeriPXqz8mGMAw
    - type: f1
      value: 55.135
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJkMzZjNTVhZTI5OTVhNTU4NDcyMjM1ZWJiODVjNzBhODRmZjlmMjE0MDUzMmU4NzNlNzA5NjgyODdkNTJmZSIsInZlcnNpb24iOjF9.O0KoLquXYbF3P2PGCFW8bxYEVe_yDW-WzEqpOmbIs_e9v4tcygH19ZUYFjMDFSll91SPJ2oIbVovsUISYuknCg
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: squad_v2
      type: squad_v2
      config: squad_v2
      split: validation
    metrics:
    - type: exact_match
      value: 79.2432
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjBjZjhjMTMzMzZhOTg1OGYyZDY2MzZjYmQ4NmNlNWI5MWNmNTBiZjY1Njg0YTYyMmRlNzlkZDU1NTZjOWM5ZCIsInZlcnNpb24iOjF9.1vo9JoASJ_zvOVa4lTRMNPljUvMon-E6QOZ1n_KFQBMtRvRY883ECudhAzb5LGpLntyM2EN5bfyfTQ6dfjjsDg
    - type: f1
      value: 82.336
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWFiZGMyMzkwOTlkMWVkZmExNjdkZTM1YjRkYzRkZDlhOGZlMjEwMGNjNjJhYjM5MjZlNDI3ZDEyNmViOGYyOSIsInZlcnNpb24iOjF9.f3xlhop8hXWCCWFXWZgyK9r8Cy5KE3gPgYNV3bRN78teN_hjYH5sDl4wMTMcPU-bsPX70_wvsuvU-r95ByF4Bg
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: quoref
      type: quoref
      config: default
      split: validation
    metrics:
    - type: exact_match
      value: 78.8581
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjMyYTAxOWJhYTM5YWNmNGFhZDg3NTIwN2UxN2RhYzQxYzFiODJjYTcyZTk5MGMwODNhMzA3Nzc3MDQzYjcwMiIsInZlcnNpb24iOjF9.FSNswUf1Y5ZnlS0fSm-lxsA1klUphzfDhfj00U5benVd0QiYvyeqRclC7Pw8B3RV9Oe1cZzfeDDA5fXY2A5JBw
    - type: f1
      value: 82.8261
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWQyMTNhZTc0MTdiMzNiNzc3YzhkNTk5ZWRkMWZlYjc4ZGU3YTFkNDkyZDg0NWFiYzFhMGQyMzZjYjcwNTE1YSIsInZlcnNpb24iOjF9.9waqQm_EBPo41pdOMmoY6r_-K7-3zUxt1AB4ndHTY50S5k5yyub8NdCJz09hBhbRd1_-1t3UT5p8HnFjAjF9DQ
---

<!-- 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. -->

# rob-base-superqa

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.

## 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: 7e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.21.1
- Pytorch 1.11.0a0+gita4c10ee
- Datasets 2.4.0
- Tokenizers 0.12.1