| checkpointing_steps: '50' |
| config_name: null |
| dataset_config_name: null |
| dataset_name: null |
| gradient_accumulation_steps: 16 |
| learning_rate: 2.0e-05 |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.1 |
| lora_rank: 64 |
| low_cpu_mem_usage: false |
| lr_scheduler_type: cosine |
| max_seq_length: 2048 |
| max_train_steps: 550 |
| model_name_or_path: meta-llama/Llama-2-7b-chat-hf |
| num_train_epochs: 2 |
| output_dir: multi_passage_w_qa |
| overwrite_cache: false |
| per_device_train_batch_size: 1 |
| preprocessing_num_workers: 16 |
| report_to: tensorboard |
| resume_from_checkpoint: multi_passage_w_qa/step_100 |
| save_merged_lora_model: false |
| seed: null |
| tokenizer_name: meta-llama/Llama-2-7b-chat-hf |
| train_file: /gscratch/h2lab/abhikam/llm-factuality/data/training/open-instruct-multi-qa.json |
| use_flash_attn: true |
| use_lora: false |
| use_slow_tokenizer: true |
| warmup_ratio: 0.03 |
| weight_decay: 0.0 |
| with_tracking: true |
|
|
