safesign/llama3-8b-instruct-final-less-lora-everything
010
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llama3-8b-instruct-final-less-lora-everything
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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: 2e-05
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 0
- gradientaccumulationsteps: 32
- totaltrainbatch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.03
- training_steps: 6
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2