sravanthib / llama-3-2-1b-custom-100-steps-logging

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Model's Last Updated: July 17 2025
text-generation

Introduction of llama-3-2-1b-custom-100-steps-logging

Model Details of llama-3-2-1b-custom-100-steps-logging

llama-3-2-1b-custom-100-steps-logging

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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Training and evaluation data

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Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.001
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 10
  • total_train_batch_size: 20
  • 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
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 10
Training results
Framework versions
  • PEFT 0.16.0
  • Transformers 4.53.2
  • Pytorch 2.7.1+cu126
  • Datasets 2.15.0
  • Tokenizers 0.21.2

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