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reasoningshield-dpo-final – AI Model by 99sweetcookie | AlphaNeural AI
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99sweetcookie
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reasoningshield-dpo-final
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
trl
dpo
conversational
99sweetcookie/reasoningshield-sft
finetune
other
text-generation-inference
endpoints_compatible
us
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stage2_dpo
This model is a fine-tuned version of
99sweetcookie/reasoningshield-sft
on the reasoningshield_dpo 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: 2e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 128
total_train_batch_size: 128
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_ratio: 0.1
num_epochs: 2.0
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.5.1
Datasets 4.0.0
Tokenizers 0.22.2
