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bert-new – AI Model by moos124 | AlphaNeural AI
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moos124
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bert-new
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transformers
pytorch
safetensors
generated_from_trainer
endpoints_compatible
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bert-new
This model is a fine-tuned version of
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: tpu
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 2000
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cpu
Datasets 4.8.4
Tokenizers 0.22.2
