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jungnerd_qa_model – AI Model by Sunmin-dev | AlphaNeural AI
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jungnerd_qa_model
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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jungnerd_qa_model
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: 1.6990
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
250
2.3885
2.7128
2.0
500
1.7771
2.7128
3.0
750
1.6990
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
