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finetuned-ja-model – AI Model by Kunalmod | AlphaNeural AI
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finetuned-ja-model
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
tsmatz/roberta_qa_japanese
finetune
mit
endpoints_compatible
us
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finetuned-ja-model
This model is a fine-tuned version of
tsmatz/roberta_qa_japanese
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: 7e-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
num_epochs: 7
Training results
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
