what this means;
I0319 11:52:25.089458 137785577857024 submission_runner.py:595] Metrics: {'eval_results': [(1, {'train/accuracy': 0.1484, 'train/loss': 2.2903296875, 'validation/accuracy': 0.1471, 'validation/loss': 2.294346484375, 'validation/num_examples': 10000, 'test/accuracy': 0.1428, 'test/loss': 2.30339921875, 'test/num_examples': 10000, 'score': 6.497373819351196, 'total_duration': 18.417551517486572, 'accumulated_submission_time': 6.497373819351196, 'accumulated_eval_time': 11.63027811050415, 'accumulated_logging_time': 0, 'global_step': 1, 'preemption_count': 0}), (2013, {'train/accuracy': 0.8702, 'train/loss': 0.588224609375, 'validation/accuracy': 0.874, 'validation/loss': 0.582712646484375, 'validation/num_examples': 10000, 'test/accuracy': 0.8758, 'test/loss': 0.56796005859375, 'test/num_examples': 10000, 'score': 15.947563409805298, 'total_duration': 28.776328325271606, 'accumulated_submission_time': 15.947563409805298, 'accumulated_eval_time': 11.710244178771973, 'accumulated_logging_time': 0.0709836483001709, 'global_step': 2013, 'preemption_count': 0}), (4109, {'train/accuracy': 0.9016, 'train/loss': 0.391104345703125, 'validation/accuracy': 0.897, 'validation/loss': 0.3951839111328125, 'validation/num_examples': 10000, 'test/accuracy': 0.9024, 'test/loss': 0.3811206787109375, 'test/num_examples': 10000, 'score': 24.760464668273926, 'total_duration': 39.12310862541199, 'accumulated_submission_time': 24.760464668273926, 'accumulated_eval_time': 11.786382913589478, 'accumulated_logging_time': 0.3280603885650635, 'global_step': 4109, 'preemption_count': 0}), (6390, {'train/accuracy': 0.9084, 'train/loss': 0.34262373046875, 'validation/accuracy': 0.9082, 'validation/loss': 0.3429588623046875, 'validation/num_examples': 10000, 'test/accuracy': 0.9139, 'test/loss': 0.3275015380859375, 'test/num_examples': 10000, 'score': 33.64904713630676, 'total_duration': 49.518603801727295, 'accumulated_submission_time': 33.64904713630676, 'accumulated_eval_time': 11.909996747970581, 'accumulated_logging_time': 0.5753819942474365, 'global_step': 6390, 'preemption_count': 0}), (8745, {'train/accuracy': 0.9091, 'train/loss': 0.331264990234375, 'validation/accuracy': 0.9097, 'validation/loss': 0.334815771484375, 'validation/num_examples': 10000, 'test/accuracy': 0.9149, 'test/loss': 0.321283935546875, 'test/num_examples': 10000, 'score': 42.473159074783325, 'total_duration': 60.10815477371216, 'accumulated_submission_time': 42.473159074783325, 'accumulated_eval_time': 12.168209552764893, 'accumulated_logging_time': 0.8397128582000732, 'global_step': 8745, 'preemption_count': 0}), (11066, {'train/accuracy': 0.9135, 'train/loss': 0.3120989990234375, 'validation/accuracy': 0.9131, 'validation/loss': 0.3271457763671875, 'validation/num_examples': 10000, 'test/accuracy': 0.9166, 'test/loss': 0.31315, 'test/num_examples': 10000, 'score': 51.02406573295593, 'total_duration': 70.4570562839508, 'accumulated_submission_time': 51.02406573295593, 'accumulated_eval_time': 12.251435279846191, 'accumulated_logging_time': 1.0738976001739502, 'global_step': 11066, 'preemption_count': 0}), (13303, {'train/accuracy': 0.9142, 'train/loss': 0.3123382080078125, 'validation/accuracy': 0.913, 'validation/loss': 0.323850341796875, 'validation/num_examples': 10000, 'test/accuracy': 0.9152, 'test/loss': 0.3098556640625, 'test/num_examples': 10000, 'score': 59.62961483001709, 'total_duration': 80.83796811103821, 'accumulated_submission_time': 59.62961483001709, 'accumulated_eval_time': 12.362782955169678, 'accumulated_logging_time': 1.2367660999298096, 'global_step': 13303, 'preemption_count': 0})], 'global_step': 13405}