Upload 4 files
Browse files- config.json +157 -0
- model.00.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- vocab.json +0 -0
config.json
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{
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"src_vocab_size": 250880,
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"report_every": 50,
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"save_data": "/media/vincent/Crucial X6/NMT_work/en-de/runs/48-0-32-4096-16384/",
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"skip_empty_level": "silent",
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"decoder_start_token": "<s>",
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"seed": 1234,
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"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",
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"n_sample": 0,
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"tgt_vocab_size": 250880,
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"default_specials": [
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"<unk>",
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"<blank>",
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"<s>",
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"</s>"
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],
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"model": {
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"rotary_theta": 10000,
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"hidden_size": 4096,
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"transformer_ff": 16384,
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"layers": 48,
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"parallel_residual": false,
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"mlp_activation_fn": "gelu",
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"add_ffnbias": true,
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"add_qkvbias": true,
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"norm_eps": 1e-05,
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"heads": 32,
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"embeddings": {
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"n_positions": 514,
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"word_vec_size": 4096,
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"src_word_vec_size": 4096,
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"position_shift": 2,
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"freeze_word_vecs_enc": true,
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"position_encoding_type": "Learned",
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"tgt_word_vec_size": 4096,
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"position_encoding": true
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},
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"shared_layer_norm": false,
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"num_experts_per_tok": 0,
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"max_relative_positions": 0,
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"heads_kv": 32,
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"num_experts": 0,
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"architecture": "transformer_encoder",
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"sliding_window": 0,
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"share_decoder_embeddings": true,
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"left_pad": false,
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"add_estimator": true,
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"encoder": {
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"encoder_type": "transformer",
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"src_word_vec_size": 4096
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},
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"layer_norm": "standard",
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"rotary_interleave": false,
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"rotary_dim": 0
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},
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"src_vocab": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xl-eole/dict2.txt",
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"vocab_size_multiple": 1,
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"share_vocab": true,
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"tgt_vocab": null,
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"transforms": [
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"sentencepiece"
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],
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"transforms_configs": {
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"onmt_tokenize": {},
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"tokendrop": {},
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"bpe": {},
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"filtertoolong": {
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"src_seq_length": 94,
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"tgt_seq_length": 94
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},
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"inlinetags": {},
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"clean": {},
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"suffix": {},
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"docify": {},
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"switchout": {},
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"uppercase": {},
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"terminology": {},
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"sentencepiece": {
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"tgt_subword_model": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/sentencepiece.bpe.model",
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"src_subword_model": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/sentencepiece.bpe.model"
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},
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"normalize": {},
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"bart": {},
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"insert_mask_before_placeholder": {},
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"prefix": {},
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"tokenmask": {}
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},
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"training": {
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"world_size": 1,
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"w_bit": 0,
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"group_size": 0,
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"batch_type": "sents",
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"param_init_glorot": true,
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"prefetch_factor": 400,
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"learning_rate_decay": 1.0,
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"decay_steps": 100000,
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"param_init": 0.0,
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"save_checkpoint_steps": 4000,
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"accum_count": [
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],
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"num_workers": 2,
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"model_dtype": "fp16",
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"start_decay_steps": 1000000,
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"label_smoothing": 0.1,
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"keep_checkpoint": 50,
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"train_from": "/mnt/InternalCrucial4/LLM_work/xlm-roberta-xxl-eole/",
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"valid_batch_size": 1,
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"estim_loss_lambda_steps": [
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],
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"quant_type": "bnb_NF4",
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"batch_size_multiple": 1,
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"attention_dropout": [
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0.0
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],
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"learning_rate": 1.5e-05,
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"model_path": "/media/vincent/Crucial X6/NMT_work/en-de/runs/48-0-32-4096-16384-with-estim",
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"batch_size": 8,
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"dropout_steps": [
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],
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"dropout": [
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0.1
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],
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"score_threshold": 0.0,
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"gpu_ranks": [
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],
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"optim": "fusedadam",
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"normalization": "tokens",
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"valid_steps": 1000,
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"train_steps": 4000,
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"adam_beta2": 0.998,
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"decay_method": "none",
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"estim_loss_lambda": [
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1.0
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],
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"average_decay": 0.0,
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"accum_steps": [
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],
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"quant_layers": [
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"linear_values",
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"linear_query",
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"linear_keys",
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"final_linear",
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"gate_up_proj",
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"down_proj"
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],
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"max_grad_norm": 1.0,
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"self_attn_backend": "pytorch",
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"freeze_encoder": true,
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"bucket_size": 262144
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},
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"data": {}
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}
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model.00.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:570c25be3f39defca5b96f768d5d1bfe5a3587460d1880873722d99d7e0064ef
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size 21423469914
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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vocab.json
ADDED
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