quickmt-en-th / eole-model /config.json
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{
"valid_metrics": [
"BLEU"
],
"n_sample": 0,
"tgt_vocab_size": 20000,
"vocab_size_multiple": 8,
"save_data": "data",
"transforms": [
"sentencepiece",
"filtertoolong"
],
"overwrite": true,
"src_vocab_size": 20000,
"tensorboard_log_dir_dated": "tensorboard/Sep-01_20-43-08",
"share_vocab": false,
"tgt_vocab": "th.eole.vocab",
"report_every": 100,
"tensorboard_log_dir": "tensorboard",
"src_vocab": "en.eole.vocab",
"tensorboard": true,
"seed": 1234,
"training": {
"accum_steps": [
0
],
"model_path": "quickmt-en-th-eole-model",
"max_grad_norm": 0.0,
"dropout_steps": [
0
],
"learning_rate": 2.0,
"decay_method": "noam",
"accum_count": [
10
],
"batch_type": "tokens",
"attention_dropout": [
0.1
],
"gpu_ranks": [
0
],
"compute_dtype": "torch.float16",
"prefetch_factor": 32,
"bucket_size": 128000,
"num_workers": 0,
"batch_size_multiple": 8,
"optim": "adamw",
"train_steps": 100000,
"average_decay": 0.0001,
"normalization": "tokens",
"param_init_method": "xavier_uniform",
"label_smoothing": 0.1,
"batch_size": 8000,
"warmup_steps": 4000,
"valid_batch_size": 4096,
"valid_steps": 5000,
"adam_beta2": 0.998,
"world_size": 1,
"dropout": [
0.1
],
"save_checkpoint_steps": 5000,
"keep_checkpoint": 4
},
"transforms_configs": {
"filtertoolong": {
"src_seq_length": 256,
"tgt_seq_length": 256
},
"sentencepiece": {
"src_subword_model": "${MODEL_PATH}/en.spm.model",
"tgt_subword_model": "${MODEL_PATH}/th.spm.model"
}
},
"data": {
"corpus_1": {
"path_src": "train.en",
"path_align": null,
"path_tgt": "train.th",
"transforms": [
"sentencepiece",
"filtertoolong"
]
},
"valid": {
"path_src": "valid.en",
"path_align": null,
"path_tgt": "valid.th",
"transforms": [
"sentencepiece",
"filtertoolong"
]
}
},
"model": {
"hidden_size": 1024,
"share_embeddings": false,
"position_encoding_type": "SinusoidalInterleaved",
"share_decoder_embeddings": false,
"transformer_ff": 4096,
"heads": 8,
"architecture": "transformer",
"embeddings": {
"src_word_vec_size": 1024,
"word_vec_size": 1024,
"position_encoding_type": "SinusoidalInterleaved",
"tgt_word_vec_size": 1024
},
"decoder": {
"tgt_word_vec_size": 1024,
"hidden_size": 1024,
"decoder_type": "transformer",
"n_positions": null,
"position_encoding_type": "SinusoidalInterleaved",
"transformer_ff": 4096,
"heads": 8,
"layers": 2
},
"encoder": {
"hidden_size": 1024,
"encoder_type": "transformer",
"src_word_vec_size": 1024,
"n_positions": null,
"position_encoding_type": "SinusoidalInterleaved",
"transformer_ff": 4096,
"heads": 8,
"layers": 8
}
}
}