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my_awesome_swag_model – AI Model by sofa566 | AlphaNeural AI
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sofa566
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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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Model card
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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: 1.0175
Accuracy: 0.7940
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
0.7552
1.0
4597
0.6061
0.7647
0.3824
2.0
9194
0.6517
0.7851
0.1417
3.0
13791
1.0175
0.7940
Framework versions
Transformers 4.29.1
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.11.0
