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Qwen3-8B-Base-deepmath-10000-train-b8-round0 – AI Model by helloelwin | AlphaNeural AI
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Qwen3-8B-Base-deepmath-10000-train-b8-round0
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peft
safetensors
adapter
lora
transformers
Qwen/Qwen3-8B-Base
apache-2.0
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Qwen3-8B-Base-deepmath-10000-train-b8-round0
This model is a fine-tuned version of
Qwen/Qwen3-8B-Base
on the None 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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.0.dev0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
