Remove deprecated (#8604)

* Remove old deprecated arguments

Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* Remove needless imports

* Fix tests

Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

examples/seq2seq/test_finetune_trainer.py

@@ -138,7 +138,7 @@ class TestFinetuneTrainer(TestCasePlus):
             per_device_train_batch_size=batch_size,
             per_device_eval_batch_size=batch_size,
             predict_with_generate=True,
-            evaluate_during_training=True,
+            evaluation_strategy="steps",
             do_train=True,
             do_eval=True,
             warmup_steps=0,
@@ -179,7 +179,7 @@ class TestFinetuneTrainer(TestCasePlus):
             --per_device_eval_batch_size 4
             --learning_rate 3e-3
             --warmup_steps 8
-            --evaluate_during_training
+            --evaluation_strategy steps
             --predict_with_generate
             --logging_steps 0
             --save_steps {str(eval_steps)}

examples/token-classification/run_ner_old.py

@@ -254,7 +254,7 @@ def main():
         trainer.save_model()
         # For convenience, we also re-save the tokenizer to the same directory,
         # so that you can share your model easily on huggingface.co/models =)
-        if trainer.is_world_master():
+        if trainer.is_world_process_zero():
             tokenizer.save_pretrained(training_args.output_dir)
 
     # Evaluation
@@ -265,7 +265,7 @@ def main():
         result = trainer.evaluate()
 
         output_eval_file = os.path.join(training_args.output_dir, "eval_results.txt")
-        if trainer.is_world_master():
+        if trainer.is_world_process_zero():
             with open(output_eval_file, "w") as writer:
                 logger.info("***** Eval results *****")
                 for key, value in result.items():