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BOLETIN_4bit_27 – AI Model by VanoInvestigations | AlphaNeural AI
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BOLETIN_4bit_27
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peft
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bertin-project/BOLETIN
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BOLETIN_4bit_27
This model is a fine-tuned version of
bertin-project/BOLETIN
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: 1.41e-05
train_batch_size: 16
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
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.14.6
Tokenizers 0.15.1
