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distilbert-base-uncased-model-1 – AI Model by evelynerhuan | AlphaNeural AI | AlphaNeural AI
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distilbert-base-uncased-model-1
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-model-1
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: 1.6472
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
3.0114
1.0
554
1.9485
1.6658
2.0
1108
1.6325
1.2555
3.0
1662
1.6071
1.038
4.0
2216
1.6472
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
