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Mspec_Qwen3_8B_Lora_rank64_Chem_nonmerged – AI Model by yileitu | AlphaNeural AI
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Mspec_Qwen3_8B_Lora_rank64_Chem_nonmerged
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen3-8B
adapter
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upsampled_50k_all_subtasks_lst_nothink_data_lora64_cutoff16384_20260430_225208
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the upsampled_50k_all_subtasks_lst_nothink_data 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 64
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: cosine_with_min_lr
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
PEFT 0.15.0
Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
