llama321B_SA / README.md
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metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama321B_SA
    results: []

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llama321B_SA

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

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use paged_adamw_32bit 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
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.14.1.dev0
  • Transformers 4.48.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0