transformers pytorch tensorboard electra question-answering generated_from_trainer dataset:squad license:apache-2.0 model-index endpoints_compatible region:us
---
datasets:
- squad
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: electra-smallcase-squad
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: squad_v2
      type: squad_v2
      config: squad_v2
      split: validation
    metrics:
    - type: f1
      value: 42.535
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGYwZjExOTg1NGMwMTQxZGVhMjU4NzJiZTBlM2EzZDNmMzBlMGEzNjMwZjkzMTIxOTQzYWFhYjBiZDZhNTAxYSIsInZlcnNpb24iOjF9.PMOlW_iXGS5QjV0XCs4e5AK-ip9LUdXoDKRxFc7-VM_QMhGc0eq7GGLiY6OXCt-WUwRy6RkFhIg2nzid_qMgDw
    - type: exact
      value: 38.3889
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWIwNGVhYmIyNmUyNzkzMzA1Y2FkMDJmNzE3ZGNlOWNlNjk2Y2IwOTA5MjJkMmEwMmVhNjNkZWU1YTJhN2ViMiIsInZlcnNpb24iOjF9.S6L-PB3ZfllrXwHMfiSMDQm-tLANrBeWrNNekvfX1aZA79hbKdgP-OGPKatMatGJPirs-zPWDYXEIH4pSZeODw
    - type: loss
      value: 6.50607442855835
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWFlOWNjOTUzMTBkMDc3MDRmYmUwNzk2NjY3MmJjOTNjMWM2NGZmMDY5MTY0MWIwOTIyNWM5ZDkzNmEwNTJkNiIsInZlcnNpb24iOjF9.wxm8AMY3iCdRD3_cZIJ8zLzUh5Cj7C3k4vCoy0raXOExLIYFs4qSRWxFaI21HCJ8NhZ0IirV5ziaTpSRsPlqAw
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# electra-smallcase-squad

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the squad 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
