Same acc, recall, precision, f1 when it comes to trainer.evaluate()

trainer.evaluate(eval_dataset=encoded_test_dataset)

output is

{'eval_loss': 0.6165900230407715,
'eval_precision': 0.681265206812652,
'eval_recall': 0.681265206812652,
'eval_f1': 0.681265206812652,
'eval_accuracy': 0.681265206812652,
'eval_runtime': 2.1712,
'eval_samples_per_second': 189.3,
'eval_steps_per_second': 5.988,
'epoch': 18.72}