metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: microsoft_deberta-base_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: 42.5948
            verified: true
          - name: F1
            type: f1
            value: 46.1837
            verified: true

microsoft_deberta-base_squad

This model is a fine-tuned version of microsoft/deberta-base on the squadV1 dataset.

"eval_exact_match": 86.30085146641439
"eval_f1": 92.68502275661561
"eval_samples": 10788

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.14.1
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.10.3