metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type: exact_match
value: 40.2443
name: Exact Match
verified: true
verifyToken: >-
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- type: f1
value: 44.135
name: F1
verified: true
verifyToken: >-
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- task:
type: question-answering
name: Question Answering
dataset:
name: subjqa
type: subjqa
config: grocery
split: train
metrics:
- type: exact_match
value: 5.625
name: Exact Match
verified: true
verifyToken: >-
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- type: f1
value: 15.8411
name: F1
verified: true
verifyToken: >-
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bert-finetuned-squad
This model is a fine-tuned version of bert-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
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1