LatinChantModel / config.json
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{
"src_vocab_size": 36000,
"save_data": "toy-lanotes/data",
"src_words_min_frequency": 2,
"seed": 1234,
"tgt_vocab": "toy-lanotes/vocab.shared",
"report_every": 1,
"src_vocab": "toy-lanotes/vocab.shared",
"tensorboard": true,
"tgt_vocab_size": 36000,
"n_sample": 0,
"valid_metrics": [
"BLEU"
],
"vocab_size_multiple": 8,
"tgt_words_min_frequency": 2,
"overwrite": true,
"share_vocab": true,
"tensorboard_log_dir": "tensorboard_logging",
"tensorboard_log_dir_dated": "tensorboard_logging/Nov-10_14-13-01",
"log_file": "train.log",
"training": {
"world_size": 1,
"compute_dtype": "torch.float16",
"dropout_steps": [
0
],
"max_grad_norm": 1.0,
"label_smoothing": 0.1,
"valid_batch_size": 1024,
"save_checkpoint_steps": 1000,
"accum_steps": [
0
],
"average_decay": 0.0,
"accum_count": [
33
],
"decay_method": "noam",
"batch_size": 1500,
"param_init_method": "xavier_uniform",
"learning_rate": 2.0,
"use_amp": true,
"dropout": [
0.1
],
"attention_dropout": [
0.1
],
"batch_size_multiple": 8,
"bucket_size": 32768,
"normalization": "tokens",
"gpu_ranks": [
0
],
"optim": "adamw",
"train_steps": 10000,
"adam_beta2": 0.998,
"train_from": "toy-lanotes/model",
"valid_steps": 100,
"prefetch_factor": 50,
"warmup_steps": 800,
"batch_type": "tokens",
"model_path": "toy-lanotes/model",
"num_workers": 0,
"keep_checkpoint": 50
},
"data": {
"corpus_1": {
"path_tgt": "toy-lanotes/train.tgt.encoded.filter.shuf",
"transforms": [],
"path_align": null,
"path_src": "toy-lanotes/train.src.encoded.filter.shuf"
},
"valid": {
"path_tgt": "toy-lanotes/valid.tgt.encoded.filter.shuf",
"transforms": [],
"path_align": null,
"path_src": "toy-lanotes/valid.src.encoded.filter.shuf"
}
},
"model": {
"share_embeddings": true,
"transformer_ff": 4096,
"architecture": "transformer",
"share_decoder_embeddings": true,
"position_encoding_type": "SinusoidalInterleaved",
"layers": 6,
"hidden_size": 1024,
"heads": 16,
"decoder": {
"transformer_ff": 4096,
"n_positions": null,
"with_cross_attn": true,
"decoder_type": "transformer",
"tgt_word_vec_size": 1024,
"position_encoding_type": "SinusoidalInterleaved",
"layers": 6,
"hidden_size": 1024,
"heads": 16
},
"embeddings": {
"src_word_vec_size": 1024,
"word_vec_size": 1024,
"tgt_word_vec_size": 1024,
"position_encoding_type": "SinusoidalInterleaved"
},
"encoder": {
"src_word_vec_size": 1024,
"transformer_ff": 4096,
"n_positions": null,
"position_encoding_type": "SinusoidalInterleaved",
"layers": 6,
"encoder_type": "transformer",
"hidden_size": 1024,
"heads": 16
}
}
}