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bert-large-uncased-facebook-election-ads – AI Model by StevenLimcorn | AlphaNeural AI
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StevenLimcorn
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bert-large-uncased-facebook-election-ads
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-large-uncased-facebook-election-ads
This model is a fine-tuned version of
bert-large-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5924
Accuracy: 0.6776
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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.29.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
