ft-Llama2-with-stack-exchange-paired
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the lvwerra/stack-exchange-paired 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.4.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2
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Base model
meta-llama/Llama-2-7b-hf