Trainer does not print to console the loss (train and eval)
Hello,I have a basic problem, but I can’t find a solution. I looked into some older threads saying that it has something to do with the number of eval_steps and gradient accumulation, but this doesn’t seem to be helping.I want to see the train_loss and eva_loss at every X steps.Here’s my code:transformers.logging.set_verbosity_debug()training_args = TrainingArguments(“temp”,evaluation_strategy=“steps”,do_train=True,learning_rate=LEARNING_RATE,gradient_accumulation_steps=2,auto_find_batch_size=True,num_train_epochs=3,save_steps=100,eval_steps=100,lr_scheduler_type = ‘cosine_with_restarts’,save_total_limit=8,max_steps=10000,per_device_train_batch_size=1,per_device_eval_batch_size=1,load_best_model_at_end = True,logging_strategy=‘steps’,logging_dir=‘./logs’,logging_steps=100,overwrite_output_dir=True)trainer = Trainer(model=model,args=training_args,train_dataset=datasets[‘train’],eval_dataset=datasets[‘validation’],data_collator = data_collator,callbacks = [transformers.EarlyStoppingCallback(early_stopping_patience=10)])trainer.train()If I do : log_history = trainer.state.log_historyat the end of the run, then the log_history shows just fine. I don’t know why it’s not printing the loss to the console. The only thing I see is when it goes through eval, but not the actual eval error (or train loss).