Tahsin-Mayeesha's picture
update model card README.md
1b37dc8
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