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phi3-mini-4k-qlora-medical-seg-v2 – AI Model by segestic | AlphaNeural AI
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phi3-mini-4k-qlora-medical-seg-v2
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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phi3-mini-4k-qlora-medical-seg-v2
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
