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t5-small-squad-qg-v2 – AI Model by EaindraKyaw | AlphaNeural AI

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EaindraKyaw/
t5-small-squad-qg-v2

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-squad-qg-v2

This model is a fine-tuned version of t5-small on the None dataset.

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 2.13.1
Tokenizers 0.21.0