Hugging Face's logo

srcocotero
/
bert-qa-en

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Metrics Community
3
bert-qa-en / README.md
autoevaluator's picture
autoevaluator HF staff
Add evaluation results on the plain_text config and validation split of squad
4b93361
preview code
|
raw
history blame
2.24 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: bert-qa-en
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad
          type: squad
          config: plain_text
          split: validation
        metrics:
          - type: f1
            value: 88.2785
            name: F1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjAwYTlhMmEwYzYyODNkMmE5MWMyMjVkODIxYjIwZTZmYTExOTViN2Q5NzQxZjNmMDU2YTRkNDM5YWNlZDI4YyIsInZlcnNpb24iOjF9.GXeoNUUTB45-QdHGM5hsbm5lDciKGBWLoJ-6X4AuXS7cZZJmk2J2S3notQ1ECtS8V7-p_uTdigKSXHRD2lsdAQ
          - type: exact_match
            value: 80.8327
            name: Exact Match
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWFlNzUzYjYxNmU0OWQ3ZmNhNGFjNDJkNDczNDNjNTViMzcyY2FkNGE0ZmEwYzUxZDUyZjU2YTljMjNiNGQxNSIsInZlcnNpb24iOjF9.k4T-BcIf4nxGe_Ufxazwuv4VP9TMFqH4-ytAyX1Q-fCKGMc4_L4LL4_Cx9V09WAUx642kOSXQe5RAdHugSG7Cg
          - type: loss
            value: 1.1096982955932617
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmI1YWI3MGQzNDJkOTkyMWI4YjBlZTUxNTZiOGQyYzQ1MmFiYzcwY2RiNTI3MWNlOWY3NWRiM2JmYWEwNGQ4YyIsInZlcnNpb24iOjF9.70-r3zM9boAfNO7hjPEOzgtTbFPpUsENt6e6Xkra4Shw16qU3ZHatbp44L28n1bUmfTNGF7N05CDKMHAthaLAA

bert-qa-en

This model is a fine-tuned version of bert-base-uncased 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: 3e-05
  • train_batch_size: 12
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Training results

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1