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bert-finetuned-squad – AI Model by Salommee | AlphaNeural AI
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Salommee
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bert-finetuned-squad
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transformers
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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bert-finetuned-squad
This model is a fine-tuned version of
bert-base-cased
on an unknown 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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.06
num_epochs: 1
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
