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distilbert-base-uncased-finetuned-squad – AI Model by b-mu | AlphaNeural AI
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b-mu
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distilbert-base-uncased-finetuned-squad
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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-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: 1.1506
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
1.2217
1.0
5533
1.1537
0.9617
2.0
11066
1.1274
0.758
3.0
16599
1.1506
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
