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deep_project_qa_model – AI Model by nadidebeyza | AlphaNeural AI
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nadidebeyza
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deep_project_qa_model
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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deep_project_qa_model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5897
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
250
2.2466
2.664
2.0
500
1.7650
2.664
3.0
750
1.5998
1.1831
4.0
1000
1.5617
1.1831
5.0
1250
1.5897
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Tokenizers 0.11.0
