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ZGBot
FranzderPapst/ZGBot
ZGBot is a question answering model from FranzderPapst. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
Dieses Modell ist eine mit dem Stanford Question Answering Dataset feinabgestimmte Version von distilbert-base-uncased.
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Dec 18, 2023
- SHA
- 5af0aa2e
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
ZGBot
Dieses Modell ist eine mit dem Stanford Question Answering Dataset feinabgestimmte Version von distilbert-base-uncased.
Training Hyperparameter
Die folgenden Hyperparameter wurden während des Trainings gebraucht:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
Framework Versionen
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Oct 23, 2023
- Updated
- Dec 18, 2023