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phi-2-gpo-lora-ultrafeedback-test – AI Model by lole25 | AlphaNeural AI

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lole25/
phi-2-gpo-lora-ultrafeedback-test

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0

alignment-handbook

generated_from_trainer

HuggingFaceH4/ultrafeedback_binarized

microsoft/phi-2

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phi-2-gpo-lora-ultrafeedback-test

This model is a fine-tuned version of lole25/phi-2-gpo-lora-ultrafeedback-test on the HuggingFaceH4/ultrafeedback_binarized 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
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_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: 2

Training results

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.14.6
Tokenizers 0.15.2