### TRAINING LOG
wandb: Run history:                                                                                                                                           
wandb:                      eval/loss █▆▅▄▃▃▂▂▁▁▁                                                                                                             
wandb:                   eval/runtime ▁▃▂▃▃▃▃█▃▄▁                                                                                                             
wandb:        eval/samples_per_second █▆▇▆▆▆▆▁▆▄█                                                                                                             
wandb:          eval/steps_per_second █▆▇▆▆▆▆▁▆▄█                                                                                                             
wandb:                    train/epoch ▁▁▁▂▂▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███                                                                                
wandb:              train/global_step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███                                                                                
wandb:            train/learning_rate ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁                                                                                
wandb:                     train/loss █▄▄▅▃▅▃▃▄▅▃▃▃▄▃▃▃▃▂▂▂▂▃▂▄▂▃▂▂▂▂▂▃▂▁▃▂▂▂▁                                                                                
wandb:               train/total_flos ▁                                        
wandb:               train/train_loss ▁                                        
wandb:            train/train_runtime ▁                                        
wandb: train/train_samples_per_second ▁                                        
wandb:   train/train_steps_per_second ▁                                        
wandb:                                 
wandb: Run summary:                    
wandb:                      eval/loss 0.27314                                  
wandb:                   eval/runtime 129.6563                                 
wandb:        eval/samples_per_second 7.713                                    
wandb:          eval/steps_per_second 7.713                                    
wandb:                    train/epoch 0.53                                     
wandb:              train/global_step 1875                                     
wandb:            train/learning_rate 0.0002                                   
wandb:                     train/loss 0.258                                    
wandb:               train/total_flos 1.9547706216175334e+17                   
wandb:               train/train_loss 0.30445                                  
wandb:            train/train_runtime 13368.3721                               
wandb: train/train_samples_per_second 2.244                                    
wandb:   train/train_steps_per_second 0.14                                     
wandb:                                 
wandb: 🚀 View run happy-deluge-17 at: https://wandb.ai/metric/llm_finetune_multiwoz22.sh/runs/4epf9h85  

### INFERENCE LOG
TODO