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{
"accumulate_gradients": 4,
"ae_steps": [],
"amp": 2,
"architectures": [
"XLMForQuestionAnswering"
],
"asm": false,
"attention_dropout": 0.1,
"batch_size": 16,
"beam_size": 1,
"bos_index": 0,
"bos_token_id": 0,
"bptt": 256,
"bt_src_langs": [],
"bt_steps": [],
"causal": false,
"clip_grad_norm": 1.0,
"clm_steps": [],
"command": "python /private/home/aconneau/workdir/xlm_17_100_big.3/2019_08_10_19_23_42/train.py --n_heads 16 --bt_steps '' --max_vocab 200000 --word_mask_keep_rand '0.8,0.1,0.1' --use_lang_emb false --data_path '/private/home/aconneau/projects/XLM/data/wiki/100/175k' --save_periodic 0 --max_len 200 --bptt 256 --ae_steps '' --fp16 true --share_inout_emb true --sinusoidal_embeddings false --word_shuffle 0 --tokens_per_batch '-1' --accumulate_gradients 4 --validation_metrics '_valid_en_mlm_ppl,_valid_mlm_ppl,_valid_zh_mlm_ppl' --attention_dropout '0.1' --split_data true --max_epoch 100000 --stopping_criterion '_valid_zh_mlm_ppl,25' --dump_path '/checkpoint/aconneau/dumped' --epoch_size 200000 --word_blank 0 --gelu_activation true --n_layers 16 --optimizer 'adam_inverse_sqrt,lr=0.00005,warmup_updates=30000,beta1=0.9,beta2=0.999,weight_decay=0.01,eps=0.000001' --mlm_steps 'en,es,fr,de,zh,ru,pt,it,ar,ja,id,tr,nl,pl,simple,fa,vi,sv,ko,he,ro,no,hi,uk,cs,fi,hu,th,da,ca,el,bg,sr,ms,bn,hr,sl,zh_yue,az,sk,eo,ta,sh,lt,et,ml,la,bs,sq,arz,af,ka,mr,eu,tl,ang,gl,nn,ur,kk,be,hy,te,lv,mk,zh_classical,als,is,wuu,my,sco,mn,ceb,ast,cy,kn,br,an,gu,bar,uz,lb,ne,si,war,jv,ga,zh_min_nan,oc,ku,sw,nds,ckb,ia,yi,fy,scn,gan,tt,am' --eval_bleu false --dropout '0.1' --mt_steps '' --batch_size 16 --word_dropout 0 --reload_model '/checkpoint/aconneau/dumped/xlm_17_100_240_big_model_upper.2/14884511/best-valid_zh_mlm_ppl.pth' --min_count 0 --amp 2 --group_by_size true --asm false --sample_alpha '0.5' --word_pred '0.15' --clip_grad_norm 1 --emb_dim 1280 --encoder_only true --lgs 'en-es-fr-de-zh-ru-pt-it-ar-ja-id-tr-nl-pl-simple-fa-vi-sv-ko-he-ro-no-hi-uk-cs-fi-hu-th-da-ca-el-bg-sr-ms-bn-hr-sl-zh_yue-az-sk-eo-ta-sh-lt-et-ml-la-bs-sq-arz-af-ka-mr-eu-tl-ang-gl-nn-ur-kk-be-hy-te-lv-mk-zh_classical-als-is-wuu-my-sco-mn-ceb-ast-cy-kn-br-an-gu-bar-uz-lb-ne-si-war-jv-ga-zh_min_nan-oc-ku-sw-nds-ckb-ia-yi-fy-scn-gan-tt-am' --clm_steps '' --exp_name 'xlm_17_100_big.3' --lg_sampling_factor '0.7' --eval_only false --exp_id 16656234 --master_port 11363 --exp_id \"16656234\"",
"context_size": 0,
"data_path": "/private/home/aconneau/projects/XLM/data/wiki/100/175k",
"debug": false,
"debug_slurm": false,
"debug_train": false,
"dropout": 0.1,
"dump_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656234",
"emb_dim": 1280,
"embed_init_std": 0.02209708691207961,
"encoder_only": true,
"end_n_top": 5,
"eos_index": 1,
"epoch_size": 200000,
"eval_bleu": false,
"eval_only": false,
"exp_id": "16656234",
"exp_name": "xlm_17_100_big.3",
"fp16": true,
"gelu_activation": true,
"global_rank": 0,
"group_by_size": true,
"hyp_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656234/hypotheses",
"id2lang": {
"0": "af",
"1": "als",
"10": "be",
"11": "bg",
"12": "bn",
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"15": "ca",
"16": "ceb",
"17": "ckb",
"18": "cs",
"19": "cy",
"2": "am",
"20": "da",
"21": "de",
"22": "el",
"23": "en",
"24": "eo",
"25": "es",
"26": "et",
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"3": "an",
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"32": "ga",
"33": "gan",
"34": "gl",
"35": "gu",
"36": "he",
"37": "hi",
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"4": "ang",
"40": "hy",
"41": "ia",
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"44": "it",
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"5": "ar",
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"6": "arz",
"60": "ms",
"61": "my",
"62": "nds",
"63": "ne",
"64": "nl",
"65": "nn",
"66": "no",
"67": "oc",
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"7": "ast",
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"71": "ru",
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"93": "war",
"94": "wuu",
"95": "yi",
"96": "zh",
"97": "zh_classical",
"98": "zh_min_nan",
"99": "zh_yue"
},
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"is_encoder": true,
"is_master": true,
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"lambda_ae": 1.0,
"lambda_ae_config": null,
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"lambda_pc": 1.0,
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"lang2id": {
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"simple": 76,
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"sq": 79,
"sr": 80,
"sv": 81,
"sw": 82,
"ta": 83,
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"war": 93,
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"zh_min_nan": 98,
"zh_yue": 99
},
"lang_id": 0,
"langs": [
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"pt",
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"layer_norm_eps": 1e-12,
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"lgs": "en-es-fr-de-zh-ru-pt-it-ar-ja-id-tr-nl-pl-simple-fa-vi-sv-ko-he-ro-no-hi-uk-cs-fi-hu-th-da-ca-el-bg-sr-ms-bn-hr-sl-zh_yue-az-sk-eo-ta-sh-lt-et-ml-la-bs-sq-arz-af-ka-mr-eu-tl-ang-gl-nn-ur-kk-be-hy-te-lv-mk-zh_classical-als-is-wuu-my-sco-mn-ceb-ast-cy-kn-br-an-gu-bar-uz-lb-ne-si-war-jv-ga-zh_min_nan-oc-ku-sw-nds-ckb-ia-yi-fy-scn-gan-tt-am",
"local_rank": 0,
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],
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[
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],
"model_type": "xlm",
"mono_dataset": {
"af": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/test.af.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.af.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.af.pth"
},
"als": {
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},
"am": {
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"an": {
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"ang": {
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"cy": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.cy.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.cy.pth"
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"da": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.da.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.da.pth"
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"de": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.de.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.de.pth"
},
"el": {
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