sreddy1
/

t5-end2end-questions-generation

Text2Text Generation

generated_from_trainer

Inference Endpoints

text-generation-inference

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t5-end2end-questions-generation

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0485

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
2.6556	6.64	100	2.0485

Framework versions

Transformers 4.24.0
Pytorch 1.7.1+cu110
Datasets 2.6.1
Tokenizers 0.13.2

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Evaluation results

Metadata error: specify a dataset to view leaderboard