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bert-large-japanese-wikipedia-ud-head-finetuned-inquiry – AI Model by anhcanvasasia | AlphaNeural AI
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anhcanvasasia
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bert-large-japanese-wikipedia-ud-head-finetuned-inquiry
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
cc-by-sa-4.0
endpoints_compatible
us
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bert-large-japanese-wikipedia-ud-head-finetuned-squad
This model is a fine-tuned version of
KoichiYasuoka/bert-large-japanese-wikipedia-ud-head
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9130
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
50
1.9136
No log
2.0
100
1.9691
No log
3.0
150
1.9130
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
