Llama-2-7b-hf-one_liners-2024-09-16
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 150
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for morturr/Llama-2-7b-hf-one_liners-2024-09-16
Base model
meta-llama/Llama-2-7b-hf