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task4-phi – AI Model by jerseyjerry | AlphaNeural AI
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jerseyjerry
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task4-phi
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peft
safetensors
llama-factory
lora
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
other
us
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This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on the flock_task4_tranning 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: 3e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use 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: 0.05
num_epochs: 5
Training results
Framework versions
PEFT 0.12.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
