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google-bert-bert-base-uncased-full-finetune-wapo – AI Model by cc0de | AlphaNeural AI
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google-bert-bert-base-uncased-full-finetune-wapo
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safetensors
bert
trl
sft
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
us
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google-bert-bert-base-uncased-full-finetune-wapo
This model is a fine-tuned version of
google-bert/bert-base-uncased
on the None dataset.
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: 3e-09
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.44.0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
