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distilbert-base-uncased-finetuned-squad – AI Model by annt5396 | AlphaNeural AI
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annt5396
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distilbert-base-uncased-finetuned-squad
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
squad_v2
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of
distilbert-base-uncased
on the squad_v2 dataset. It achieves the following results on the evaluation set:
eval_loss: 1.4207
eval_runtime: 169.1147
eval_samples_per_second: 71.75
eval_steps_per_second: 17.94
epoch: 2.0
step: 65878
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
