{ "src_vocab": "en.eole.vocab", "seed": 1234, "tensorboard_log_dir_dated": "tensorboard/Oct-02_06-26-30", "save_data": "data", "valid_metrics": [ "BLEU" ], "tensorboard_log_dir": "tensorboard", "tgt_vocab": "lv.eole.vocab", "n_sample": 0, "src_vocab_size": 32000, "share_vocab": false, "report_every": 100, "tensorboard": true, "transforms": [ "sentencepiece", "filtertoolong" ], "tgt_vocab_size": 32000, "vocab_size_multiple": 8, "overwrite": true, "training": { "num_workers": 0, "keep_checkpoint": 4, "learning_rate": 2.0, "optim": "adamw", "valid_batch_size": 2048, "gpu_ranks": [ 0 ], "train_steps": 100000, "param_init_method": "xavier_uniform", "batch_size": 6000, "batch_type": "tokens", "valid_steps": 5000, "accum_steps": [ 0 ], "average_decay": 0.0001, "accum_count": [ 15 ], "decay_method": "noam", "world_size": 1, "model_path": "quickmt-en-lv-eole-model", "normalization": "tokens", "dropout_steps": [ 0 ], "bucket_size": 128000, "max_grad_norm": 0.0, "save_checkpoint_steps": 5000, "compute_dtype": "torch.float16", "adam_beta2": 0.998, "dropout": [ 0.1 ], "label_smoothing": 0.1, "attention_dropout": [ 0.1 ], "batch_size_multiple": 8, "prefetch_factor": 32, "warmup_steps": 2000 }, "transforms_configs": { "sentencepiece": { "tgt_subword_model": "${MODEL_PATH}/lv.spm.model", "src_subword_model": "${MODEL_PATH}/en.spm.model" }, "filtertoolong": { "src_seq_length": 256, "tgt_seq_length": 256 } }, "model": { "share_embeddings": false, "heads": 8, "share_decoder_embeddings": true, "transformer_ff": 4096, "architecture": "transformer", "position_encoding_type": "SinusoidalInterleaved", "hidden_size": 1024, "encoder": { "heads": 8, "layers": 8, "n_positions": null, "transformer_ff": 4096, "encoder_type": "transformer", "src_word_vec_size": 1024, "position_encoding_type": "SinusoidalInterleaved", "hidden_size": 1024 }, "embeddings": { "word_vec_size": 1024, "position_encoding_type": "SinusoidalInterleaved", "tgt_word_vec_size": 1024, "src_word_vec_size": 1024 }, "decoder": { "heads": 8, "layers": 2, "decoder_type": "transformer", "tgt_word_vec_size": 1024, "n_positions": null, "transformer_ff": 4096, "position_encoding_type": "SinusoidalInterleaved", "hidden_size": 1024 } }, "data": { "corpus_1": { "transforms": [ "sentencepiece", "filtertoolong" ], "path_align": null, "path_src": "train.en", "path_tgt": "train.lv" }, "valid": { "transforms": [ "sentencepiece", "filtertoolong" ], "path_align": null, "path_src": "valid.en", "path_tgt": "valid.lv" } } }