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ruBert-base-sberquad-full – AI Model by Shalazary | AlphaNeural AI
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ruBert-base-sberquad-full
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peft
tensorboard
safetensors
generated_from_trainer
ai-forever/ruBert-base
adapter
apache-2.0
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ruBert-base-sberquad-full
This model is a fine-tuned version of
ai-forever/ruBert-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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
