metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: deberta-base-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad
          type: squad
          config: plain_text
          split: validation
        metrics:
          - name: Exact Match
            type: exact_match
            value: 87.0081
            verified: true
          - name: F1
            type: f1
            value: 93.0951
            verified: true

deberta-base-squad

This model is a fine-tuned version of microsoft/deberta-base 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: 6e-05
train_batch_size: 1
eval_batch_size: 1
seed: 1984
distributed_type: IPU
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.25
num_epochs: 2.0
training precision: Mixed Precision

Training results

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cpu
Datasets 2.3.3.dev0
Tokenizers 0.12.1