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phi3-mini-yoda-adapter – AI Model by dvgodoy | AlphaNeural AI

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dvgodoy/
phi3-mini-yoda-adapter

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generated_from_trainer

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

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phi3-mini-yoda-adapter

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct 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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.19.1