Boffl/BullingerLM-llama3.1-8B-pretrain-bible
011
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llama3.18Bpretrain_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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 3.0
- mixedprecisiontraining: 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