| 参数 | 值 |
|---|---|
| length_penalty_weight | 0.0 |
| log_device_placement | False |
| max_gradient_norm | 5.0 |
| max_train | 0 |
| metrics | [‘bleu’] |
| num_buckets | 5 |
| num_dec_emb_partitions | 0 |
| num_decoder_layers | 2 |
| num_decoder_residual_layers | 0 |
| num_embeddings_partitions | 0 |
| num_enc_emb_partitions | 0 |
| num_encoder_layers | 2 |
| num_encoder_residual_layers | 0 |
| num_gpus | 1 |
| num_inter_threads | 0 |
| num_intra_threads | 0 |
| num_keep_ckpts | 5 |
| num_sampled_softmax | 0 |
| num_train_steps | 12000 |
| num_translations_per_input | 1 |
| num_units | 128 |
| optimizer | sgd |
| out_dir | /tmp/nmt_model |
| output_attention | True |
| override_loaded_hparams | False |
| pass_hidden_state | True |
| random_seed | None |
| residual | False |
| sampling_temperature | 0.0 |
| share_vocab | False |
| sos | |
| src | vi |
| src_embed_file | None |
| src_max_len | 50 |
| src_max_len_infer | None |
| src_vocab_file | /tmp/nmt_data/vocab.vi |
| src_vocab_size | 7709 |
| steps_per_external_eval | None |
| steps_per_stats | 100 |
| subword_option | None |
| test_prefix | /tmp/nmt_data/tst2013 |
| tgt | en |
| tgt_embed_file | None |
| tgt_max_len | 50 |
| tgt_max_len_infer | None |
| tgt_vocab_file | /tmp/nmt_data/vocab.en |
| tgt_vocab_size | 17191 |
| time_major | True |
| train_prefix | /tmp/nmt_data/train |
| unit_type | lstm |
| use_char_encode | False |
| vocab_prefix | /tmp/nmt_data/vocab |
| warmup_scheme | t2t |
| warmup_steps | 0 |
Nmt笔记
2018年09月20日-_-below can discuss!-_-