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eole-nlp
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cometkiwi-xxl-eole

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cometkiwi-xxl-eole
File size: 3,873 Bytes 
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{
  "src_vocab_size": 250880,
  "report_every": 50,
  "save_data": "/media/vincent/Crucial X6/NMT_work/en-de/runs/48-0-32-4096-16384/",
  "skip_empty_level": "silent",
  "decoder_start_token": "<s>",
  "seed": 1234,
  "log_file": "/media/vincent/Crucial X6/NMT_work/en-de/runs/48-0-32-4096-16384-with-estim/48-0-32-4096-16384-with-estim.log",
  "n_sample": 0,
  "tgt_vocab_size": 250880,
  "default_specials": [
    "<unk>",
    "<blank>",
    "<s>",
    "</s>"
  ],
  "model": {
    "rotary_theta": 10000,
    "hidden_size": 4096,
    "transformer_ff": 16384,
    "layers": 48,
    "parallel_residual": false,
    "mlp_activation_fn": "gelu",
    "add_ffnbias": true,
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    "norm_eps": 1e-05,
    "heads": 32,
    "embeddings": {
      "n_positions": 514,
      "word_vec_size": 4096,
      "src_word_vec_size": 4096,
      "position_shift": 2,
      "freeze_word_vecs_enc": true,
      "position_encoding_type": "Learned",
      "tgt_word_vec_size": 4096,
    },
    "shared_layer_norm": false,
    "num_experts_per_tok": 0,
    "max_relative_positions": 0,
    "heads_kv": 32,
    "num_experts": 0,
    "architecture": "transformer_encoder",
    "sliding_window": 0,
    "share_decoder_embeddings": true,
    "left_pad": false,
    "add_estimator": true,
    "encoder": {
      "encoder_type": "transformer",
      "src_word_vec_size": 4096
    },
    "layer_norm": "standard",
    "rotary_interleave": false,
    "rotary_dim": 0
  },
  "src_vocab": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xl-eole/dict2.txt",
  "vocab_size_multiple": 1,
  "share_vocab": true,
  "tgt_vocab": null,
  "transforms": [
    "sentencepiece"
  ],
  "transforms_configs": {
    "onmt_tokenize": {},
    "tokendrop": {},
    "bpe": {},
    "filtertoolong": {
      "src_seq_length": 94,
      "tgt_seq_length": 94
    },
    "inlinetags": {},
    "clean": {},
    "suffix": {},
    "docify": {},
    "switchout": {},
    "uppercase": {},
    "terminology": {},
    "sentencepiece": {
      "tgt_subword_model": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/sentencepiece.bpe.model",
      "src_subword_model": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/sentencepiece.bpe.model"
    },
    "normalize": {},
    "bart": {},
    "insert_mask_before_placeholder": {},
    "prefix": {},
    "tokenmask": {}
  },
  "training": {
    "world_size": 1,
    "w_bit": 0,
    "group_size": 0,
    "batch_type": "sents",
    "param_init_glorot": true,
    "prefetch_factor": 400,
    "learning_rate_decay": 1.0,
    "decay_steps": 100000,
    "param_init": 0.0,
    "save_checkpoint_steps": 4000,
    "accum_count": [
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    ],
    "num_workers": 2,
    "model_dtype": "fp16",
    "start_decay_steps": 1000000,
    "label_smoothing": 0.1,
    "keep_checkpoint": 50,
    "train_from": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/",
    "valid_batch_size": 1,
    "estim_loss_lambda_steps": [
      0
    ],
    "quant_type": "bnb_NF4",
    "batch_size_multiple": 1,
    "attention_dropout": [
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    ],
    "learning_rate": 1.5e-05,
    "model_path": "/media/vincent/Crucial X6/NMT_work/en-de/runs/48-0-32-4096-16384-with-estim",
    "batch_size": 8,
    "dropout_steps": [
      0
    ],
    "dropout": [
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    ],
    "score_threshold": 0.0,
    "gpu_ranks": [
      0
    ],
    "optim": "fusedadam",
    "normalization": "tokens",
    "valid_steps": 1000,
    "train_steps": 4000,
    "adam_beta2": 0.998,
    "decay_method": "none",
    "estim_loss_lambda": [
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    ],
    "average_decay": 0.0,
    "accum_steps": [
      0
    ],
    "quant_layers": [
      "linear_values",
      "linear_query",
      "linear_keys",
      "final_linear",
      "gate_up_proj",
      "down_proj"
    ],
    "max_grad_norm": 1.0,
    "self_attn_backend": "pytorch",
    "freeze_encoder": true,
    "bucket_size": 262144
  },
  "data": {}
}