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phi-3-vi-sft-1 – AI Model by sddcresearch | AlphaNeural AI

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sddcresearch/
phi-3-vi-sft-1

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microsoft/Phi-3-mini-4k-instruct

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phi-3-vi-sft-1

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-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: 0.0002
train_batch_size: 8
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 1

Training results

Framework versions

PEFT 0.11.2.dev0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.16.0
Tokenizers 0.19.1