metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad_modified_for_t5_qg
widget:
  - text: >-
      generate question: Forrest Gump is a 1994 American comedy-drama film
      directed by Robert Zemeckis and written by Eric Roth. It is based on the
      1986 novel of the same name by Winston Groom and stars Tom Hanks, Robin
      Wright, Gary Sinise, Mykelti Williamson and Sally Field. The story depicts
      several decades in the life of Forrest Gump (Hanks), a slow-witted but
      kind-hearted man from Alabama who witnesses and unwittingly influences
      several defining historical events in the 20th century United States. The
      film differs substantially from the novel. </s>
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:

Loss: 1.5789

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.5879	0.34	100	1.9133
1.9688	0.68	200	1.7313
1.8513	1.02	300	1.6691
1.7459	1.36	400	1.6413
1.7206	1.69	500	1.6200
1.7026	2.03	600	1.6101
1.6447	2.37	700	1.5983
1.6402	2.71	800	1.5979
1.6332	3.05	900	1.5924
1.5953	3.39	1000	1.5877
1.5922	3.73	1100	1.5854
1.5832	4.07	1200	1.5830
1.5726	4.41	1300	1.5799
1.5587	4.75	1400	1.5789

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1