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distilbert-base-uncased-squad – AI Model by andi611 | AlphaNeural AI
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andi611
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distilbert-base-uncased-squad
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-qa
This model is a fine-tuned version of
distilbert-base-uncased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.1925
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: 32
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: 1000
num_epochs: 3.0
Training results
Framework versions
Transformers 4.8.2
Pytorch 1.8.1+cu111
Datasets 1.8.0
Tokenizers 0.10.3
