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LLaMA-3.2-3B-DPO-HelpSteer3-RMR1-14B – AI Model by davidanugraha | AlphaNeural AI
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davidanugraha
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LLaMA-3.2-3B-DPO-HelpSteer3-RMR1-14B
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transformers
pytorch
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-3.2-3B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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helpsteer3_llama32_3b_dpo_rmr1
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
on the dpo_helpsteer3_llama32_3b_rmr1 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-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1
