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distilbert-base-uncased-finetuned-squad – AI Model by janeel | AlphaNeural AI
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janeel
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distilbert-base-uncased-finetuned-squad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of
klue/roberta-small
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 2.1272
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.398
1.0
2767
2.2567
2.0729
2.0
5534
2.1272
Framework versions
Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
