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bert-emrqa_msquad-squad_v2 – AI Model by jon-t | AlphaNeural AI
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jon-t
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bert-emrqa_msquad-squad_v2
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transformers
safetensors
roberta
question-answering
generated_from_trainer
Eladio/emrqa-msquad
distilbert/distilroberta-base
finetune
apache-2.0
endpoints_compatible
us
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bert-emrqa_msquad-squad_v2
This model is a fine-tuned version of
distilbert/distilroberta-base
on the Eladio/emrqa-msquad and the rajpurkar/squad_v2 datasets.
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: 12
eval_batch_size: 8
seed: 42
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
num_epochs: 2.0
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0
