No log for validation loss in trainer.train()
Hello, today I train the model, but there is no log for validation loss in the results of trainer.train(). The codes are as followed:training_args = TrainingArguments(output_dir = “./qa_results”,overwrite_output_dir = False,num_train_epochs = 1,per_device_train_batch_size = 4,per_device_eval_batch_size = 2,logging_steps = 1,logging_dir=“./log”,save_steps = 1,prediction_loss_only = True,evaluation_strategy = “steps”,learning_rate = 3e-5,weight_decay = 0,)trainer = QuestionAnsweringTrainer(model=model,args=training_args,train_dataset=train_dataset,eval_dataset=eval_dataset,tokenizer=tokenizer,data_collator=data_collator,compute_metrics=compute_metrics,)train_result = trainer.train()And the outputs are:image738×502 15.3 KB
2022-10-25T14:15:07Z
Could anyone help me? This bug confuses me for a whole day
2022-11-09T20:51:25Z
I am also confused by this as well. I can see the output just like@ZongqianLi, but I do not see any output in my logs.For instance, this what I have done:# Define Trainer
    ## set up arguments
    args = TrainingArguments(
        output_dir=out_dir,
        evaluation_strategy="steps",
        eval_steps=500,
        save_steps=1500,
        report_to="none",
        logging_dir="../../output/logs",
        logging_strategy="steps",
        per_device_train_batch_size=8,
        per_device_eval_batch_size=8,
        learning_rate=5E-05,
        num_train_epochs=5,
        seed=0,
        load_best_model_at_end=True,
    )

   # establish HF training object
    trainer = Trainer(
        model=model,
        args=args,
        train_dataset=train_dataset,
        eval_dataset=val_dataset,
        compute_metrics=torch_learn.compute_metrics,
        callbacks=[EarlyStoppingCallback(early_stopping_patience=3), neptune_callback]
    )

    # train model
    trainer.train()Then I can see within my.ipynboutput a table that looks like this:Step Training Loss Validation Loss   Accuracy Precision	Recall	F1
500	    0.690300	0.462797	0.841827	0.786610	0.841827	0.813205
...     ...         ...         ...         ...         ...         ...         
4000	0.407400	0.524831	0.856672	0.833902	0.856672	0.838811Next, I go to mylogging_dirand I do not see anything there:$ tree  ../output/logs/I cannot show the output but trust me when I say that there is no log present from the model.What do I need to do to find the logs and/or reload the trained model from a checkpoint in my local directory and get those metrics?Other Possible Relevant Information:$ conda list transformers

# Name                    Version                   Build  Channel
sentence-transformers     2.2.2                    pypi_0    pypi
transformers              4.23.1                   pypi_0    pypi
2023-05-19T06:48:25Z
Hi@ZongqianLi, i hope you are ell. did you find any solution fo ryour answer?
2024-04-13T01:27:14Z
"No log" when training RobertaForSequenceClassification using Trainer · Issue #8910 · huggingface/transformers · GitHub– this might help