metadata
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: tinybert-finetuned-squad
results: []
tinybert-finetuned-squad
This model is a fine-tuned version of prajjwal1/bert-tiny 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
took about 8 mins to fine-tune on google colab {'exact_match': 32.04351939451277, 'f1': 44.36583937955441}
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2