llama2-7b-tuned-qna
This model is a fine-tuned version of genaitraining/llama-2-7b-domain-tuned 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2
- Datasets 2.13.0
- Tokenizers 0.14.1
Model tree for JoudarZakaria/llama2-7b-tuned-qna
Base model
genaitraining/llama-2-7b-domain-tuned