sft__pymethods2test_selfsuccess_best1_jsonfmt__laion-GLM-4_7-swesmith-fixthink

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

sft__pymethods2test_selfsuccess_best1_jsonfmt__laion-GLM-4_7-swesm__fa2-qwen3-steps-96-4e-05__Qw

This model was trained from scratch on the /gpfs/scratch/ehpc524/ot/datasets/pymethods2test_selfsuccess_best1_jsonfmt_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: 32
• gradient_accumulation_steps: 3
• total_train_batch_size: 96
• total_eval_batch_size: 256
• 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_ratio: 0.1
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.10.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2