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Phi_2_finetune – AI Model by ogundipe72 | AlphaNeural AI
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Phi_2_finetune
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/phi-2
adapter
mit
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Phi_2_finetune
This model is a fine-tuned version of
microsoft/phi-2
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
