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qwen3omni_sft_dpo_mdpo_finevideo_avmcqa_longform – AI Model by Rakancorle11 | AlphaNeural AI
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qwen3omni_sft_dpo_mdpo_finevideo_avmcqa_longform
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Rakancorle11/qwen3omni_full_sft_with_audio_for_dpo
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qwen3omni_sft_dpo_mdpo_finevideo_avmcqa_longform
This model is a fine-tuned version of
Rakancorle11/qwen3omni_full_sft_with_audio_for_dpo
on the dpo_mix_mdpo_finevideo_avmcqa_longform 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: 1e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.03
num_epochs: 1.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
