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ours2 – AI Model by leejimin | AlphaNeural AI

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leejimin/
ours2

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alignment-handbook

generated_from_trainer

princeton-nlp/gemma2-ultrafeedback-armorm

google/gemma-2-2b-it

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gemma-2-2b-it-simpo

This model is a fine-tuned version of google/gemma-2-2b-it on the princeton-nlp/gemma2-ultrafeedback-armorm 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: 8e-07
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 4
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 4.44.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1