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LLaMA-3.2-3B-DPO-HelpSteer3-SkyworkLlama – AI Model by davidanugraha | AlphaNeural AI

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davidanugraha/
LLaMA-3.2-3B-DPO-HelpSteer3-SkyworkLlama

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text-generation

generated_from_trainer

meta-llama/Llama-3.2-3B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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helpsteer3_llama32_3b_dpo_skyworkllama

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the dpo_helpsteer3_llama32_3b_skyworkllama 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: 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