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BullingerLM-llama3.1-70B-pretrain-Zwa

PEFT
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llama-factory
lora
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llama3.1_70B_pretrain_Zwa

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-70B-bnb-4bit on the pretrain_Zwa 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.45.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.20.1
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meta-llama/Llama-3.1-70B
Quantized
unsloth/Meta-Llama-3.1-70B-bnb-4bit
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Evaluation results

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