metadata

tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: longformer-base-4096-finetuned-squad2-length-1024-128window
    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: 79.941
            verified: true
          - name: F1
            type: f1
            value: 82.9201
            verified: true

longformer-base-4096-finetuned-squad2-length-1024-128window

This model is a fine-tuned version of allenai/longformer-base-4096 on the squad_v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.9057

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8641	1.0	32580	0.9057

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1