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my_awesome_swag_model – AI Model by nizar-sayad | AlphaNeural AI
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nizar-sayad
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my_awesome_swag_model
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transformers
pytorch
tensorboard
bert
multiple-choice
generated_from_trainer
swag
apache-2.0
endpoints_compatible
us
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my_awesome_swag_model
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: 1.0107
Accuracy: 0.7899
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
0.7454
1.0
4597
0.6122
0.7662
0.3786
2.0
9194
0.6400
0.7833
0.1338
3.0
13791
1.0107
0.7899
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
