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Path: blob/master/Natural Language Processing with Attention Models/Week 1 - Neural Machine Translation/output_dir/train/events.out.tfevents.1608282144.fb630eec7870
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�K" ��A brain.Event:2Wl�. ��W� #���A*! metrics/CrossEntropyLossC�&A����s ̮�P �J��A*� � gin_configB�B�#### Parameters for Adam: Adam.b1 = 0.9 Adam.b2 = 0.999 Adam.clip_grad_norm = None Adam.eps = 1e-05 Adam.weight_decay_rate = 1e-05 #### Parameters for AddLossWeights: # None. #### Parameters for backend: backend.name = 'jax' #### Parameters for BucketByLength: BucketByLength.length_axis = 0 BucketByLength.strict_pad_on_len = False #### Parameters for FilterByLength: FilterByLength.length_axis = 0 #### Parameters for LogSoftmax: LogSoftmax.axis = -1 #### Parameters for random_spans_helper: # None. #### Parameters for SentencePieceVocabulary: # None. #### Parameters for data.TFDS: # None. #### Parameters for tf_inputs.TFDS: # None. #### Parameters for data.Tokenize: # None. #### Parameters for tf_inputs.Tokenize: tf_inputs.Tokenize.keys = None tf_inputs.Tokenize.n_reserved_ids = 0 tf_inputs.Tokenize.vocab_type = 'subword' #### Parameters for Vocabulary: # None. #### Parameters for warmup_and_rsqrt_decay: # None.J text1��K, ���E �W��A* training/learning_rateĚ'7��ڜ/ m]P �X��A*" training/steps per secondl�<C��+ ��K �Y��A* training/gradients_l28��?�[y�# ��wC \Z��A* training/lossC�&A��,) 7�_ �Z��A* training/weights_l2��E�bH. ��W� �5�i��A *! metrics/CrossEntropyLosss$A�~;, ���E C�i��A * training/learning_rateu��8��g�/ m]P �C�i��A *" training/steps per second���<���+ ��K �D�i��A * training/gradients_l2/�@XE1# ��wC GE�i��A * training/losss$A�AL]) 7�_ �E�i��A * training/weights_l2$��Es��g