allrun_commands_Qwen3-Coder-30B-A3B-Instruct

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allrun_commands_results

This model is a fine-tuned version of Qwen/Qwen3-Coder-30B-A3B-Instruct on the train dataset. It achieves the following results on the evaluation set:

• Loss: 0.0174
• Accuracy: 0.9979

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: 0.0004
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 16
• total_eval_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: cosine
• lr_scheduler_warmup_ratio: 0.085
• num_epochs: 3.0

Training results

Framework versions

• PEFT 0.17.1
• Transformers 4.57.1
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2