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bert-base-japanese-whole-word-masking-finetuned – AI Model by kazuohara | AlphaNeural AI
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kazuohara
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bert-base-japanese-whole-word-masking-finetuned
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transformers
pytorch
bert
fill-mask
generated_from_trainer
tohoku-nlp/bert-base-japanese-whole-word-masking
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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bert-base-japanese-whole-word-masking-finetuned
This model is a fine-tuned version of
cl-tohoku/bert-base-japanese-whole-word-masking
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.7457
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.9789
1.0
2
1.7973
0.3371
2.0
4
0.3530
6.0381
3.0
6
1.8948
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Tokenizers 0.13.3
