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phi-2-gpo-20k-40k-60k-i1 – AI Model by DUAL-GPO | AlphaNeural AI

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DUAL-GPO/
phi-2-gpo-20k-40k-60k-i1

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alignment-handbook

generated_from_trainer

HuggingFaceH4/ultrafeedback_binarized

DUAL-GPO-2/phi-2-gpo-v34-merged-i1

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phi-2-gpo-20k-40k-60k-i1

This model is a fine-tuned version of DUAL-GPO-2/phi-2-gpo-v34-merged-i1 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: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.2.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2