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TaxoPhi-3.5-mini-instruct – AI Model by Kate-03 | AlphaNeural AI
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Kate-03
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TaxoPhi-3.5-mini-instruct
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peft
safetensors
phi3
generated_from_trainer
custom_code
microsoft/Phi-3.5-mini-instruct
adapter
mit
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TaxoPhi-3.5-mini-instruct
This model is a fine-tuned version of
microsoft/Phi-3.5-mini-instruct
on the None 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: 7e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 4
total_train_batch_size: 12
total_eval_batch_size: 3
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.0
