***Training with "roberta-base" ***

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Some weights of RobertaForQuestionAnswering were not initialized from the model checkpoint at 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.

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{'loss': 1.075, 'learning_rate': 1.7577307036766496e-05, 'epoch': 0.37}
{'loss': 0.9886, 'learning_rate': 1.6359873386900417e-05, 'epoch': 0.55}
{'loss': 0.9376, 'learning_rate': 1.5142439737034334e-05, 'epoch': 0.73}
{'loss': 0.9256, 'learning_rate': 1.3925006087168251e-05, 'epoch': 0.91}


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{'loss': 0.8303, 'learning_rate': 1.2707572437302169e-05, 'epoch': 1.1}
{'loss': 0.7641, 'learning_rate': 1.1490138787436084e-05, 'epoch': 1.28}
{'loss': 0.7347, 'learning_rate': 1.0275140004869735e-05, 'epoch': 1.46}
{'loss': 0.737, 'learning_rate': 9.060141222303384e-06, 'epoch': 1.64}
{'loss': 0.7466, 'learning_rate': 7.842707572437303e-06, 'epoch': 1.83}


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100%|██████████| 8214/8214 [1:43:02<00:00,  1.61it/s]{'eval_loss': 0.8387653827667236, 'eval_runtime': 77.9854, 'eval_samples_per_second': 135.538, 'eval_steps_per_second': 1.064, 'epoch': 2.0}
{'loss': 0.7022, 'learning_rate': 6.62527392257122e-06, 'epoch': 2.01}
{'loss': 0.6081, 'learning_rate': 5.4078402727051385e-06, 'epoch': 2.19}
{'loss': 0.5997, 'learning_rate': 4.190406622839056e-06, 'epoch': 2.37}
{'loss': 0.6221, 'learning_rate': 2.9754078402727056e-06, 'epoch': 2.56}
{'loss': 0.5972, 'learning_rate': 1.7604090577063552e-06, 'epoch': 2.74}
{'loss': 0.5893, 'learning_rate': 5.429754078402727e-07, 'epoch': 2.92}


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{'eval_loss': 0.8589298725128174, 'eval_runtime': 78.186, 'eval_samples_per_second': 135.19, 'eval_steps_per_second': 1.062, 'epoch': 3.0}
{'train_runtime': 6282.4693, 'train_samples_per_second': 41.83, 'train_steps_per_second': 1.307, 'train_loss': 0.8181754187246526, 'epoch': 3.0}