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Pretraining_Test_v4 – AI Model by JJ-Tae | AlphaNeural AI
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JJ-Tae
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Pretraining_Test_v4
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transformers
tensorboard
safetensors
deberta
fill-mask
generated_from_trainer
microsoft/deberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Pretraining_Test_v4
This model is a fine-tuned version of
microsoft/deberta-base
on an unknown 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: 5e-05
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: 3
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2
