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distilbert-finetuned-squadv2 – AI Model by quocviethere | AlphaNeural AI
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quocviethere
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distilbert-finetuned-squadv2
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
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distilbert-finetuned-squadv2
This model is a fine-tuned version of
roberta-base
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: 2e-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
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.2.1+cu121
Datasets 2.16.1
Tokenizers 0.15.2
