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DistilBert-qa – AI Model by vaibhav9 | AlphaNeural AI
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vaibhav9
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DistilBert-qa
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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Model card
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distilbert-qa
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0243
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
52
3.6935
No log
2.0
104
3.1373
No log
3.0
156
3.0243
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
