cuong1692001 / Llama-3.1-8B-Instruct_high

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 7
Model's Last Updated: June 17 2026
text-generation

Introduction of Llama-3.1-8B-Instruct_high

Model Details of Llama-3.1-8B-Instruct_high

Llama-3.1-8B-Instruct_high

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Llama-3.1-8B-Instruct_high 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: 1.25e-06
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 2
  • total_eval_batch_size: 16
  • optimizer: Use 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: 5.0
Training results
Framework versions
  • Transformers 4.56.2
  • Pytorch 2.7.1+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of cuong1692001 Llama-3.1-8B-Instruct_high on huggingface.co

12
Total runs
0
24-hour runs
-1
3-day runs
0
7-day runs
7
30-day runs

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Llama-3.1-8B-Instruct_high install

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