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choice-question-generator – AI Model by under-tree | AlphaNeural AI

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under-tree/
choice-question-generator

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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choice-question-generator

This model is a fine-tuned version of distilgpt2 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: 40
eval_batch_size: 40
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cpu
Datasets 2.10.1
Tokenizers 0.13.2