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my_awesome_qa_model – AI Model by VanshKodesia21 | AlphaNeural AI
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VanshKodesia21
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my_awesome_qa_model
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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my_awesome_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: 4.8937
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: 32
eval_batch_size: 32
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
15
4.5857
No log
2.0
30
4.6562
No log
3.0
45
4.8485
No log
4.0
60
4.9157
No log
5.0
75
4.8937
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2
