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nash_dpo_merge_iter_real_plus_3 – AI Model by YYYYYYibo | AlphaNeural AI

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YYYYYYibo/
nash_dpo_merge_iter_real_plus_3

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alignment-handbook

generated_from_trainer

alignment-handbook/zephyr-7b-sft-full

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nash_dpo_merge_iter_real_plus_3

This model is a fine-tuned version of YYYYYYibo/nash_dpo_merge_iter_3 on the updated and the original datasets.

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
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 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2