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BullingerLM-llama3.1-8B-pretrain-bible

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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BullingerLM-llama3.1-8B-pretrain-bible / README.md
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metadata
library_name: peft
license: other
base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: llama3.1_8B_pretrain_bible
    results: []

llama3.1_8B_pretrain_bible

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-bnb-4bit on the pretrain_bible 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: 3.0
  • 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