metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad_modified_for_t5_qg
model-index:
  - name: t5-end2end-questions-generation
    results: []

t5-end2end-questions-generation

This model is a fine-tuned version of t5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6143
eval_runtime: 96.0898
eval_samples_per_second: 21.511
eval_steps_per_second: 5.38
epoch: 2.03
step: 600

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1