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german-qg-t5-e2e-quad – AI Model by dehio | AlphaNeural AI
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dehio
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german-qg-t5-e2e-quad
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transformers
pytorch
tensorboard
t5
text2text-generation
question generation
de
deepset/germanquad
mit
text-generation-inference
endpoints_compatible
us
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german-qg-t5-e2e-quad (Work in progress)
This model is a end-to-end question generation model in German. Given a text, it generates several questions about it. This model is a fine-tuned version of
valhalla/t5-base-e2e-qg
on the
GermanQuAD dataset from deepset
.
Model description
More information needed
Training and evaluation data
Bleu_1: 0.196051
Bleu_2: 0.122380
Bleu_3: 0.079980
Bleu_4: 0.053672
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: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.16.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
