This model is a fine-tuned version of unsloth/llama-2-7b-bnb-4bit on hermeschen1116/daily_dialog_for_RG, self modified version of daily_dialog.
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:
- system_prompt: ""
- learning_rate: 0.0002
- weight_decay: 0.001
- max_grad_norm: 0.3
- warmup_ratio: 0.03
- max_steps: -1
- train_batch_size: 4
- seed: 42
- optimizer: paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- init_lora_weights: true
- lora_rank: 16
- lora_alpha: 16
- lora_dropout: 0.1
- use_rslora: true
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Trl 0.8.6
- Bitsandbytes