metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: yujiepan/test.mobilebert-uncased-12blks-squadv1-int8-f1-90.31
    results: []

yujiepan/test.mobilebert-uncased-12blks-squadv1-int8-f1-90.31

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset with QAT.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 6e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

torch model:

{
    "epoch": 14.82,
    "eval_exact_match": 83.66130558183538,
    "eval_f1": 90.30829859300735,
    "step": 41000
}

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
Optimum-intel 1.7.0