DCAgent2 / nl2bash-bugs-undr3070

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: November 25 2025
text-generation

Introduction of nl2bash-bugs-undr3070

Model Details of nl2bash-bugs-undr3070

nl2bash-bugs-undr3070

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/GLM-4.6-nl2bash-verified-32eps-32k and the penfever/GLM-4.6-inferredbugs-32eps-65k datasets.

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_ratio: 0.1
  • num_epochs: 7.0
Training results
Framework versions
  • Transformers 4.56.0
  • Pytorch 2.9.0+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.1

Runs of DCAgent2 nl2bash-bugs-undr3070 on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-3
30-day runs

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nl2bash-bugs-undr3070 install

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