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neo_7B_sft_v0_1_plus-dpo-iter1-beta0_5 – AI Model by aaabiao | AlphaNeural AI
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neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3
This model is a fine-tuned version of
/ML-A100/team/mm/zhangge/models/neo_pt2.6_phase2/sft_ckpts/neo_7B_sft_v0_1_plus/checkpoint-225
on the /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/Nectar-Starling-RM-34B-rank1-2-origin 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: 3
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
total_train_batch_size: 192
total_eval_batch_size: 512
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 4.39.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.14.6
Tokenizers 0.15.2
