t52variant – AI Model by ishwarbb23 | AlphaNeural AI

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ishwarbb23/
t52variant

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text2text-generation

generated_from_trainer

ThomasSimonini/t5-end2end-question-generation

text-generation-inference

endpoints_compatible

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t52variant

This model is a fine-tuned version of ThomasSimonini/t5-end2end-question-generation on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.9335

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
3.9894	3.64	100	2.9335

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3