metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: bert-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad_v2
          type: squad_v2
          config: squad_v2
          split: validation
        metrics:
          - name: Exact Match
            type: exact_match
            value: 40.2443
            verified: true
          - name: F1
            type: f1
            value: 44.135
            verified: true
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: subjqa
          type: subjqa
          config: grocery
          split: train
        metrics:
          - name: Exact Match
            type: exact_match
            value: 5.625
            verified: true
          - name: F1
            type: f1
            value: 15.8411
            verified: true

bert-finetuned-squad

This model is a fine-tuned version of bert-base-cased 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 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1