metadata

license: apache-2.0
tags:
  - generated_from_trainer
pipeline_tag: text2text-generation
inference:
  parameters:
    max_length: 256
    num_beams: 4
    length_penalty: 1.5
    no_repeat_ngram_size: 3
    early_stopping: true
base_model: Michelvh/flan-t5-end2end-question-generation
model-index:
  - name: flan-t5-end2end-question-generation
    results: []

flan-t5-end2end-question-generation

This model is a fine-tuned version of Michelvh/flan-t5-end2end-question-generation on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5308

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.3586	0.34	100	1.5485
1.4377	0.68	200	1.5308

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3