TasmiaAzmi/t5-end-to-end-questions-generation

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t5-end-to-end-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: 1.2854

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
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 7

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0
• —Datasets 2.12.0
• —Tokenizers 0.11.0