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Qwen3-4B-PL-MoE-Superior-27k-27k-v2 – AI Model by ShourenWSR | AlphaNeural AI
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ShourenWSR
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Qwen3-4B-PL-MoE-Superior-27k-27k-v2
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transformers
safetensors
qwen3_pl_moe
feature-extraction
llama-factory
full
generated_from_trainer
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qwen3_4b_superior_27k_27k
This model is a fine-tuned version of
models/qwen3_4b_pl_moe_initialized
on the superior_reasoning_27k_27k 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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 6
total_train_batch_size: 48
total_eval_batch_size: 64
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: 3.0
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.5.1+cu124
Datasets 4.0.0
Tokenizers 0.22.2
