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adapter-mbert-webis-noqa – AI Model by intanm | AlphaNeural AI
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adapter-mbert-webis-noqa
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adapter-mbert-webis-noqa
This model is a fine-tuned version of
bert-base-multilingual-cased
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.26.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3
