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bert-base-cased-finetuned-health-qa – AI Model by joshuaspear | AlphaNeural AI
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bert-base-cased-finetuned-health-qa
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peft
safetensors
generated_from_trainer
google-bert/bert-base-cased
adapter
apache-2.0
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bert-base-cased-finetuned-health-qa
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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 1024
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP
Framework versions
PEFT 0.13.2
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
