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Part_1_mBERT_Model_E1 – AI Model by horsbug98 | AlphaNeural AI
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Part_1_mBERT_Model_E1
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transformers
pytorch
bert
question-answering
generated_from_trainer
tydiqa
endpoints_compatible
us
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debug_bert_finetuned_dutch_task2_1
This model is a fine-tuned version of
henryk/bert-base-multilingual-cased-finetuned-dutch-squad2
on the tydiqa secondary_task 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: 3e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
Transformers 4.15.0
Pytorch 1.9.1
Datasets 2.0.0
Tokenizers 0.10.3
