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phi-3-mini-4k-LoRA – AI Model by ArshadManer | AlphaNeural AI

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ArshadManer/
phi-3-mini-4k-LoRA

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

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phi-3-mini-4k-LoRA

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
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_ratio: 0.1
num_epochs: 3

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1