Upload config.yaml with huggingface_hub
Browse files- config.yaml +129 -0
config.yaml
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name: "dyu_fr_transformer-sp"
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joeynmt_version: "2.3.0"
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model_dir: "/app/saved_model"
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use_cuda: False # False for CPU training
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fp16: False
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data:
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train: "../data/dyu_fr"
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dev: "../data/dyu_fr"
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test: "../data/dyu_fr"
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dataset_type: "huggingface"
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dataset_cfg:
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name: "dyu-fr"
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sample_dev_subset: 1460
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src:
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lang: "dyu"
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max_length: 100
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lowercase: False
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normalize: False
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level: "bpe"
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voc_limit: 4000
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voc_min_freq: 1
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voc_file: "/app/saved_model/vocab.txt"
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tokenizer_type: "sentencepiece"
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tokenizer_cfg:
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model_file: "/app/saved_model/sp.model"
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trg:
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lang: "fr"
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max_length: 100
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lowercase: False
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normalize: False
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level: "bpe"
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voc_limit: 4000
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voc_min_freq: 1
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voc_file: "/app/saved_model/vocab.txt"
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tokenizer_type: "sentencepiece"
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tokenizer_cfg:
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model_file: "/app/saved_model/sp.model"
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special_symbols:
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unk_token: "<unk>"
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unk_id: 0
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pad_token: "<pad>"
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pad_id: 1
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bos_token: "<s>"
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bos_id: 2
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eos_token: "</s>"
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eos_id: 3
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testing:
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load_model: "/app/saved_model/best.ckpt"
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n_best: 1
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beam_size: 5
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beam_alpha: 1.0
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batch_size: 256
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batch_type: "token"
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max_output_length: 100
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eval_metrics: ["bleu"]
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#return_prob: "hyp"
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#return_attention: False
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sacrebleu_cfg:
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tokenize: "13a"
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training:
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#load_model: "/app/saved_model/latest.ckpt"
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#reset_best_ckpt: False
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#reset_scheduler: False
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#reset_optimizer: False
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#reset_iter_state: False
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random_seed: 42
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optimizer: "adamw"
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normalization: "tokens"
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adam_betas: [0.9, 0.999]
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scheduling: "warmupinversesquareroot"
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learning_rate_warmup: 100
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learning_rate: 0.0003
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learning_rate_min: 0.00000001
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weight_decay: 0.0
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label_smoothing: 0.1
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loss: "crossentropy"
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batch_size: 512
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batch_type: "token"
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batch_multiplier: 4
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early_stopping_metric: "bleu"
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epochs: 6
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updates: 550
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validation_freq: 30
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logging_freq: 5
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overwrite: True
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shuffle: True
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print_valid_sents: [0, 1, 2, 3]
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keep_best_ckpts: 3
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model:
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initializer: "xavier_uniform"
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bias_initializer: "zeros"
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init_gain: 1.0
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embed_initializer: "xavier_uniform"
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embed_init_gain: 1.0
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tied_embeddings: True
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tied_softmax: True
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encoder:
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type: "transformer"
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num_layers: 6
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num_heads: 4
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embeddings:
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embedding_dim: 256
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scale: True
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dropout: 0.0
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# typically ff_size = 4 x hidden_size
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hidden_size: 256
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ff_size: 1024
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dropout: 0.2
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layer_norm: "pre"
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decoder:
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type: "transformer"
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num_layers: 6
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num_heads: 8
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embeddings:
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embedding_dim: 256
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scale: True
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dropout: 0.0
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# typically ff_size = 4 x hidden_size
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hidden_size: 256
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ff_size: 1024
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dropout: 0.1
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layer_norm: "pre"
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