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train_dataset – AI Model by uhiccup | AlphaNeural AI
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uhiccup
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train_dataset
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transformers
safetensors
bert
question-answering
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
endpoints_compatible
us
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train_dataset
This model is a fine-tuned version of
klue/bert-base
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 2.21.0
Tokenizers 0.22.1
