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squad_qna_model – AI Model by Clyvey | AlphaNeural AI
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Clyvey
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squad_qna_model
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transformers
pytorch
distilbert
multiple-choice
generated_from_trainer
squad
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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squad_qna_model
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: 0.1156
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.2903
0.23
5000
0.1721
0.1883
0.46
10000
0.1771
0.143
0.68
15000
0.1278
0.1952
0.91
20000
0.1156
Framework versions
Transformers 4.33.2
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
