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bcplusop_15_10 – AI Model by jiayicheng | AlphaNeural AI

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jiayicheng/
bcplusop_15_10

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text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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train_output

This model is a fine-tuned version of Qwen/Qwen3-8B on the sft_f25helios_delta_plus_teacher3step 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: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7.0

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.8.4
Tokenizers 0.22.1