***Training with "albert-base-v2" ***

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Some weights of AlbertForQuestionAnswering were not initialized from the model checkpoint at albert-base-v2 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': 0.9829, 'learning_rate': 1.7574872169466766e-05, 'epoch': 0.37}
{'loss': 0.9236, 'learning_rate': 1.6357438519600684e-05, 'epoch': 0.55}
{'loss': 0.8908, 'learning_rate': 1.51400048697346e-05, 'epoch': 0.73}
{'loss': 0.8725, 'learning_rate': 1.392257121986852e-05, 'epoch': 0.91}


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{'loss': 0.7766, 'learning_rate': 1.2705137570002435e-05, 'epoch': 1.1}
{'loss': 0.6966, 'learning_rate': 1.1487703920136353e-05, 'epoch': 1.28}
{'loss': 0.6786, 'learning_rate': 1.027027027027027e-05, 'epoch': 1.46}
{'loss': 0.6796, 'learning_rate': 9.052836620404189e-06, 'epoch': 1.64}
{'loss': 0.694, 'learning_rate': 7.837837837837838e-06, 'epoch': 1.83}


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100%|██████████| 8214/8214 [2:17:22<00:00,  1.23it/s]{'eval_loss': 0.8657115697860718, 'eval_runtime': 127.2976, 'eval_samples_per_second': 83.034, 'eval_steps_per_second': 0.652, 'epoch': 2.0}
{'loss': 0.6471, 'learning_rate': 6.620404187971756e-06, 'epoch': 2.01}
{'loss': 0.5198, 'learning_rate': 5.402970538105674e-06, 'epoch': 2.19}
{'loss': 0.5113, 'learning_rate': 4.185536888239592e-06, 'epoch': 2.37}
{'loss': 0.5256, 'learning_rate': 2.9681032383735086e-06, 'epoch': 2.56}
{'loss': 0.5086, 'learning_rate': 1.7506695885074266e-06, 'epoch': 2.74}
{'loss': 0.5015, 'learning_rate': 5.332359386413441e-07, 'epoch': 2.92}


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{'eval_loss': 0.9312329888343811, 'eval_runtime': 127.0823, 'eval_samples_per_second': 83.174, 'eval_steps_per_second': 0.653, 'epoch': 3.0}
{'train_runtime': 8372.1289, 'train_samples_per_second': 31.39, 'train_steps_per_second': 0.981, 'train_loss': 0.7327052409671535, 'epoch': 3.0}