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distilbert-base-uncased-finetuned-squad – AI Model by Duplets | AlphaNeural AI
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distilbert-base-uncased-finetuned-squad
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transformers
pytorch
tensorboard
distilbert
question-answering
endpoints_compatible
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license: apache-2.0 tags:
generated_from_trainer datasets:
squad model-index:
name: distilbert-base-uncased-finetuned-squad results: [] We
distilbert-base-uncased-finetuned-squad
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: 1.1487
Model description
F1 score: 85.1341
Intended uses & limitations
More information needed
Training and evaluation data
SQUAD 2.0
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
1.2118
1.0
5533
1.1484
0.9424
2.0
11066
1.1121
0.7441
3.0
16599
1.1487
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
