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mbert-lora-qa – AI Model by NastasiaM | AlphaNeural AI
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NastasiaM
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mbert-lora-qa
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peft
safetensors
adapter
lora
transformers
google-bert/bert-base-multilingual-cased
adapter
apache-2.0
us
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mbert-lora-qa
This model is a fine-tuned version of
bert-base-multilingual-cased
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.19.1
Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
