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swag-multiple-choice – AI Model by bkowshik | AlphaNeural AI
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bkowshik
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swag-multiple-choice
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transformers
pytorch
bert
multiple-choice
generated_from_trainer
swag
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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swag-multiple-choice
This model is a fine-tuned version of
bert-base-uncased
on the swag dataset. It achieves the following results on the evaluation set:
Loss: 1.0120
Accuracy: 0.7052
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: 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
Accuracy
No log
1.0
157
0.8148
0.6848
No log
2.0
314
0.8738
0.702
No log
3.0
471
1.0120
0.7052
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
