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qwen2.5_dpo_golden-hh_noise30_epoch3_gamma2 – AI Model by ma921 | AlphaNeural AI
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ma921
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qwen2.5_dpo_golden-hh_noise30_epoch3_gamma2
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
ma921/qwen-2.5-sft-golden-hh
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen2.5_dpo_golden-hh_noise30_epoch3_gamma2
This model is a fine-tuned version of
ma921/qwen-2.5-sft-golden-hh
on an unknown 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 64
total_train_batch_size: 256
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: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
