***Training with "bert-base-uncased" ***

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Some weights of BertForQuestionAnswering were not initialized from the model checkpoint at bert-base-uncased 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': 1.3702, 'learning_rate': 1.7570002434867303e-05, 'epoch': 0.37}
{'loss': 1.2429, 'learning_rate': 1.635500365230095e-05, 'epoch': 0.55}
{'loss': 1.1599, 'learning_rate': 1.513757000243487e-05, 'epoch': 0.73}
{'loss': 1.1298, 'learning_rate': 1.3920136352568787e-05, 'epoch': 0.91}


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{'loss': 0.9945, 'learning_rate': 1.2702702702702702e-05, 'epoch': 1.1}
{'loss': 0.888, 'learning_rate': 1.1485269052836621e-05, 'epoch': 1.28}
{'loss': 0.8653, 'learning_rate': 1.0267835402970538e-05, 'epoch': 1.46}
{'loss': 0.8768, 'learning_rate': 9.052836620404189e-06, 'epoch': 1.64}
{'loss': 0.8736, 'learning_rate': 7.835402970538106e-06, 'epoch': 1.83}


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100%|██████████| 8214/8214 [1:41:26<00:00,  1.64it/s]{'eval_loss': 1.0080007314682007, 'eval_runtime': 79.7471, 'eval_samples_per_second': 132.544, 'eval_steps_per_second': 1.041, 'epoch': 2.0}
{'loss': 0.8303, 'learning_rate': 6.617969320672024e-06, 'epoch': 2.01}
{'loss': 0.6997, 'learning_rate': 5.400535670805942e-06, 'epoch': 2.19}
{'loss': 0.6806, 'learning_rate': 4.183102020939859e-06, 'epoch': 2.37}
{'loss': 0.7108, 'learning_rate': 2.9656683710737765e-06, 'epoch': 2.56}
{'loss': 0.694, 'learning_rate': 1.7482347212076945e-06, 'epoch': 2.74}
{'loss': 0.6764, 'learning_rate': 5.308010713416119e-07, 'epoch': 2.92}


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{'eval_loss': 1.0357202291488647, 'eval_runtime': 79.841, 'eval_samples_per_second': 132.388, 'eval_steps_per_second': 1.04, 'epoch': 3.0}
{'train_runtime': 6172.0123, 'train_samples_per_second': 42.579, 'train_steps_per_second': 1.331, 'train_loss': 0.9937823332514181, 'epoch': 3.0}