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qwen3-0.6B-reward-hh – AI Model by sorakritt | AlphaNeural AI
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sorakritt
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qwen3-0.6B-reward-hh
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Anthropic/hh-rlhf
Qwen/Qwen3-0.6B-Base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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reward_model_checkpoints
This model is a fine-tuned version of
Qwen/Qwen3-0.6B-Base
on hh-rlhf dataset (Anthropic).
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
