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task_qa_distilbert – AI Model by smile367 | AlphaNeural AI
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smile367
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task_qa_distilbert
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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task_qa_distilbert
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: 1.6780
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
2.4280
2.763
2.0
500
1.7672
2.763
3.0
750
1.6780
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3
