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bert-base-uncased-finetuned-swag – AI Model by BdtRomain | AlphaNeural AI

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BdtRomain/
bert-base-uncased-finetuned-swag

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bert-base-uncased-finetuned-swag

This model is a fine-tuned version of bert-base-uncased on the swag dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7219
eval_accuracy: 0.7609
eval_runtime: 179.4091
eval_samples_per_second: 111.511
eval_steps_per_second: 13.94
epoch: 2.0
step: 18388

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.33.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.0.dev0