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ruBert-base-sberquad-0.001-len_4-filtered-v2 – AI Model by Shalazary | AlphaNeural AI
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Shalazary
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ruBert-base-sberquad-0.001-len_4-filtered-v2
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peft
tensorboard
safetensors
generated_from_trainer
ai-forever/ruBert-base
adapter
apache-2.0
us
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ruBert-base-sberquad-0.001-len_4-filtered-v2
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: 0.0005
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 7000
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
