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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
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
should probably proofread and complete it, then remove this comment. -->
# 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
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