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phi-3-mini-QLoRA_v2 – AI Model by ValerioMartinsRedesUnB | AlphaNeural AI

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phi-3-mini-QLoRA_v2

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

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phi-3-mini-QLoRA_v2

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: 5e-06
train_batch_size: 4
eval_batch_size: 4
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_ratio: 0.1
num_epochs: 1

Training results

Framework versions

PEFT 0.11.1
Transformers 4.43.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1