This model is a fine-tuned version of Qwen/Qwen3-14B on the all_controls_5k_sft_train dataset. It achieves the following results on the evaluation set:

Loss: 0.7873

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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_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: 0.05
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.783	0.7105	50	0.7923

Framework versions

PEFT 0.18.1
Transformers 4.56.2
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.22.2

kyleliu789/qwen3-14b-sft-1e-5-learning-rate-h4

qwen3_14b_svamp_sft_lr_1e-5-h4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kyleliu789/
qwen3-14b-sft-1e-5-learning-rate-h4