Some weights of XLMRobertaForQuestionAnswering were not initialized from the model checkpoint at xlm-roberta-base and are newly initialized: ['qa_outputs.bias', 'qa_outputs.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
***Training with "xlm-roberta-base" ***

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{'loss': 1.2786, 'learning_rate': 1.7572437302167033e-05, 'epoch': 0.37}
{'loss': 1.1682, 'learning_rate': 1.635500365230095e-05, 'epoch': 0.55}
{'loss': 1.1019, 'learning_rate': 1.513757000243487e-05, 'epoch': 0.73}
{'loss': 1.0745, 'learning_rate': 1.3920136352568787e-05, 'epoch': 0.91}


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{'loss': 0.9744, 'learning_rate': 1.2702702702702702e-05, 'epoch': 1.1}
{'loss': 0.9039, 'learning_rate': 1.1487703920136353e-05, 'epoch': 1.28}
{'loss': 0.8688, 'learning_rate': 1.027027027027027e-05, 'epoch': 1.46}
{'loss': 0.8802, 'learning_rate': 9.052836620404189e-06, 'epoch': 1.64}
{'loss': 0.8816, 'learning_rate': 7.835402970538106e-06, 'epoch': 1.83}


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100%|██████████| 8214/8214 [47:01<00:00,  3.47it/s]{'eval_loss': 0.9376567006111145, 'eval_runtime': 32.177, 'eval_samples_per_second': 328.495, 'eval_steps_per_second': 2.579, 'epoch': 2.0}
{'loss': 0.8367, 'learning_rate': 6.620404187971756e-06, 'epoch': 2.01}
{'loss': 0.7253, 'learning_rate': 5.402970538105674e-06, 'epoch': 2.19}
{'loss': 0.717, 'learning_rate': 4.185536888239592e-06, 'epoch': 2.37}
{'loss': 0.731, 'learning_rate': 2.9681032383735086e-06, 'epoch': 2.56}
{'loss': 0.72, 'learning_rate': 1.7531044558071586e-06, 'epoch': 2.74}
{'loss': 0.7057, 'learning_rate': 5.356708059410762e-07, 'epoch': 2.92}


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{'eval_loss': 0.9440858364105225, 'eval_runtime': 31.9672, 'eval_samples_per_second': 330.652, 'eval_steps_per_second': 2.596, 'epoch': 3.0}
{'train_runtime': 2866.5036, 'train_samples_per_second': 91.679, 'train_steps_per_second': 2.866, 'train_loss': 0.9780621320800187, 'epoch': 3.0}