Learining rate is zero for a 1.5 epocs
I am ussing trainer, and got learninig_rate = 0 for 1.5 epocs{'loss': 7.1495, 'learning_rate': 0.0, 'epoch': 0.06}
{'loss': 7.1167, 'learning_rate': 0.0, 'epoch': 0.32}
{'loss': 7.3134, 'learning_rate': 0.0, 'epoch': 0.63}
{'loss': 7.4039, 'learning_rate': 0.0, 'epoch': 0.95}
{'loss': 7.394, 'learning_rate': 0.0, 'epoch': 1.27}
{'loss': 5.4542, 'learning_rate': 0.00019523809523809525, 'epoch': 1.59}
{'loss': 0.5178, 'learning_rate': 0.00017142857142857143, 'epoch': 1.9}my trainer arguments isgradient_accumulation_steps: 4
  num_train_epochs: 3
  logging_steps: 5
  output_dir: "output_dir"
  save_strategy: 'no'
  per_device_train_batch_size: 2
  per_device_eval_batch_size: 1
  logging_dir: './logs'
  report_to: 'wandb'
  logging_first_step: True
  optim: "paged_adamw_8bit"
  learning_rate: 2e-4
  weight_decay: 0.01
  fp16: True
  bf16: False
  max_grad_norm: 0.3
  max_steps: -1
  #warmup_ratio: 0.003
  lr_scheduler_type: 'linear'
  evaluation_strategy: 'no'
  eval_accumulation_steps: 2
  warmup_steps: 3I try to change lr_scheduler_type (linear, cosine)warmup_ratio and warmup_ratio, optim, etc… but the phenomena is still happenAny idea ?Im using also accelerate with deep-speed integration and multiple GPU for training