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idt5_base-silver-cognitive-aware-lora – AI Model by Firmansyah-Ibrahim | AlphaNeural AI
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Firmansyah-Ibrahim
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idt5_base-silver-cognitive-aware-lora
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peft
safetensors
adapter
lora
transformers
muchad/idt5-base
apache-2.0
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idt5_base-silver-cognitive-aware-lora
This model is a fine-tuned version of
muchad/idt5-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: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
