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meta-llama-Llama-3.2-3B-Instruct_SFT_E1_D20002

This model is a fine-tuned version of unsloth/llama-3.2-3b-instruct-bnb-4bit on the None 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: 8
  • seed: 7331
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.13.0
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1
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Collection including clembench-playpen/meta-llama-Llama-3.2-3B-Instruct_SFT_E1_D20002