cuong1692001 / Terminal-16k-top80

huggingface.co
Total runs: 88
24-hour runs: 0
7-day runs: -50
30-day runs: -354
Model's Last Updated: August 18 2026
text-generation

Introduction of Terminal-16k-top80

Model Details of Terminal-16k-top80

Terminal-16k-top80

This model is a fine-tuned version of cuong1692001/Terminal_complete_8k on the nemotron_complete_top_80_16k 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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 4
  • total_eval_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 2.0
Training results
Framework versions
  • Transformers 5.6.0
  • Pytorch 2.11.0+cu130
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of cuong1692001 Terminal-16k-top80 on huggingface.co

88
Total runs
0
24-hour runs
-26
3-day runs
-50
7-day runs
-354
30-day runs

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Terminal-16k-top80 install

Terminal-16k-top80 is an open source model from GitHub that offers a free installation service, and any user can find Terminal-16k-top80 on GitHub to install. At the same time, huggingface.co provides the effect of Terminal-16k-top80 install, users can directly use Terminal-16k-top80 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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cuong1692001
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