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Phi2SFT – AI Model by Abinayasankar | AlphaNeural AI

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Abinayasankar/
Phi2SFT

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microsoft/phi-2

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Phi2SFT

This model is a fine-tuned version of microsoft/phi-2 on the generator 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 50

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1