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generate_file_Qwen3-Coder-30B-A3B-Instruct – AI Model by finalform | AlphaNeural AI
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generate_file_Qwen3-Coder-30B-A3B-Instruct
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generate_file_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: 0.0415
Accuracy: 0.9894
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0399
1.6667
50
0.0415
0.9894
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
