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Phi-3-medium-128k-instruct – AI Model by KEITA21 | AlphaNeural AI

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KEITA21/
Phi-3-medium-128k-instruct

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microsoft/Phi-3-medium-128k-instruct

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This model is a fine-tuned version of microsoft/Phi-3-medium-128k-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-08
train_batch_size: 5
eval_batch_size: 500
seed: 42
gradient_accumulation_steps: 100
total_train_batch_size: 500
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu124
Datasets 2.19.1
Tokenizers 0.19.1