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qwen3b-dpo-sft-seedSFT12-s42 – AI Model by 17Lab | AlphaNeural AI
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qwen3b-dpo-sft-seedSFT12-s42
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qwen3b_dpo_from_sft_seedSFT12_s42
This model is a fine-tuned version of
17Lab/qwen3b-full-sft-s12
on the assimilation_dpo_v1 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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.7.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
