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qwen3-4b-jsonschemabench – AI Model by boradorish | AlphaNeural AI
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qwen3-4b-jsonschemabench
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baseline_sft
This model is a fine-tuned version of
Qwen/Qwen3-4B-Instruct-2507
on the jsonschemabench_sft_baseline 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 16
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_steps: 0.1
num_epochs: 3.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.11.0+cu130
Datasets 4.0.0
Tokenizers 0.22.2
