This model is a fine-tuned version of Qwen/Qwen3-8B on the /e/data1/datasets/playground/ot-baf/hf_hub/datasets--laion--GLM-4.7-swesmith-oracle_verified-complete-lt32k/snapshots/733ffbcf76c8437ea58ebd5fbe55520db0a0bc64_thinking_preprocessed 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: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 16
total_train_batch_size: 16
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 2.0

Training results

Framework versions

Transformers 5.8.1
Pytorch 2.11.0+cu130
Datasets 4.7.0
Tokenizers 0.22.2

laion/swesmith-coldstart-complete-lt32k-2ep-8B

sft__GLM-4-7-swesmith-oracle_verified-complete-lt32k__2-0__Qwen3-8B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

laion/
swesmith-coldstart-complete-lt32k-2ep-8B

sft__GLM-4-7-swesmith-oracle_verified-complete-lt32k2-0Qwen3-8B