llama_lora_test
This model is a fine-tuned version of huggyllama/llama-7b 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.33.0
- Pytorch 2.1.0a0+gitf8b6084
- Datasets 2.15.0
- Tokenizers 0.13.3
Model tree for aramasethu/llama_lora_test
Base model
huggyllama/llama-7b