Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat-distillation-alpaca-5.0-Harm
This model is a fine-tuned version of Grogros/Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1500
Training results
Framework versions
- Transformers 4.53.3
- Pytorch 2.2.0a0+81ea7a4
- Datasets 3.6.0
- Tokenizers 0.21.2
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Model tree for Grogros/Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat-distillation-alpaca-5.0-Harm
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct