metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - squad
base_model: xlnet-large-cased
model-index:
  - name: wd_0.01_bs_24_lr_1e-05_epochs_4
    results: []

wd_0.01_bs_24_lr_1e-05_epochs_4

This model is a fine-tuned version of xlnet-large-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: 1e-05
train_batch_size: 72
eval_batch_size: 192
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Framework versions

Transformers 4.27.4
Pytorch 1.13.1
Datasets 2.11.0
Tokenizers 0.13.2