metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: albert-base-v2_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: 82.7027
            verified: true
          - name: F1
            type: f1
            value: 90.1174
            verified: true

albert-base-v2_squad

This model is a fine-tuned version of albert-base-v2 on the squadV1 dataset.

"eval_exact_match": 82.69631031220435
"eval_f1": 90.10806626207174
"eval_samples": 10808

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: 16
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