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reasoningshield-stage2-dpo – AI Model by 99sweetcookie | AlphaNeural AI
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reasoningshield-stage2-dpo
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stage2_dpo_llama
This model is a fine-tuned version of
99sweetcookie/reasoningshield-stage1-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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 256
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.5.1
Datasets 4.0.0
Tokenizers 0.22.2
