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checkpoint_dir – AI Model by dwivedi-rishabh | AlphaNeural AI

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dwivedi-rishabh/
checkpoint_dir

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generated_from_trainer

microsoft/Phi-3.5-mini-instruct

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checkpoint_dir

This model is a fine-tuned version of microsoft/Phi-3.5-mini-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: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1