A newer version of this model is available: meta-llama/Llama-2-7b-hf
llama2-instruction-aligned
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown 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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.50.2
- Pytorch 2.5.1+cu121
- Datasets 3.4.1
- Tokenizers 0.21.1
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Base model
meta-llama/Llama-2-7b-hf