Llama-2-7b-hf-LOO_yelp_reviews-COMB_dadjokes-comb1-seed18-NEW2024-12-01
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 18
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- training_steps: 200
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for morturr/Llama-2-7b-hf-LOO_yelp_reviews-COMB_dadjokes-comb1-seed18-NEW2024-12-01
Base model
meta-llama/Llama-2-7b-hf