README.md

metadata

base_model: SpanBERT/spanbert-base-cased
tags:
  - generated_from_trainer
datasets:
  - squad
metrics:
  - f1
  - exact_match
model-index:
  - name: spanbert-base-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Closed-Domain Question Answering
        dataset:
          type: squad
          name: SQuAD
          config: squad
          split: validation
        metrics:
          - type: exact_match
            value: 84.6168
            name: Exact Match
          - type: f1
            value: 91.6134
            name: F1

spanbert-base-finetuned-squad

This model is a fine-tuned version of SpanBERT/spanbert-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

Training results

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.1
• Datasets 2.12.0
• Tokenizers 0.13.2