xlm-mlm-17-1280 / config.json
system's picture
system HF staff
Update config.json
42852cc
{
"accumulate_gradients": 4,
"ae_steps": [],
"amp": 2,
"architectures": [
"XLMWithLMHeadModel"
],
"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/17/175k' --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,fr,es,de,it,pt,nl,sv,pl,ru,ar,tr,zh,ja,ko,hi,vi' --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.2/14884510/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-fr-es-de-it-pt-nl-sv-pl-ru-ar-tr-zh-ja-ko-hi-vi' --clm_steps '' --exp_name 'xlm_17_100_big.3' --lg_sampling_factor '0.7' --eval_only false --exp_id 16656237 --master_port 14148 --exp_id \"16656237\"",
"context_size": 0,
"data_path": "/private/home/aconneau/projects/XLM/data/wiki/17/175k",
"debug": false,
"debug_slurm": false,
"debug_train": false,
"dropout": 0.1,
"dump_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656237",
"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": "16656237",
"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.3/16656237/hypotheses",
"id2lang": {
"0": "ar",
"1": "de",
"10": "pl",
"11": "pt",
"12": "ru",
"13": "sv",
"14": "tr",
"15": "vi",
"16": "zh",
"2": "en",
"3": "es",
"4": "fr",
"5": "hi",
"6": "it",
"7": "ja",
"8": "ko",
"9": "nl"
},
"init_std": 0.02,
"is_encoder": true,
"is_master": true,
"is_slurm_job": true,
"lambda_ae": 1.0,
"lambda_ae_config": null,
"lambda_bt": 1.0,
"lambda_bt_config": null,
"lambda_clm": 1.0,
"lambda_clm_config": null,
"lambda_mlm": 1.0,
"lambda_mlm_config": null,
"lambda_mt": 1.0,
"lambda_mt_config": null,
"lambda_pc": 1.0,
"lambda_pc_config": null,
"lang2id": {
"ar": 0,
"de": 1,
"en": 2,
"es": 3,
"fr": 4,
"hi": 5,
"it": 6,
"ja": 7,
"ko": 8,
"nl": 9,
"pl": 10,
"pt": 11,
"ru": 12,
"sv": 13,
"tr": 14,
"vi": 15,
"zh": 16
},
"lang_id": 0,
"langs": [
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"sv",
"pl",
"ru",
"ar",
"tr",
"zh",
"ja",
"ko",
"hi",
"vi"
],
"layer_norm_eps": 1e-12,
"lg_sampling_factor": 0.7,
"lgs": "en-fr-es-de-it-pt-nl-sv-pl-ru-ar-tr-zh-ja-ko-hi-vi",
"local_rank": 0,
"mask_index": 5,
"mask_token_id": 0,
"master_addr": "learnfair1605",
"master_port": 14148,
"max_batch_size": 0,
"max_epoch": 100000,
"max_len": 200,
"max_position_embeddings": 512,
"max_vocab": 200000,
"min_count": 0,
"mlm_steps": [
[
"en",
null
],
[
"fr",
null
],
[
"es",
null
],
[
"de",
null
],
[
"it",
null
],
[
"pt",
null
],
[
"nl",
null
],
[
"sv",
null
],
[
"pl",
null
],
[
"ru",
null
],
[
"ar",
null
],
[
"tr",
null
],
[
"zh",
null
],
[
"ja",
null
],
[
"ko",
null
],
[
"hi",
null
],
[
"vi",
null
]
],
"model_type": "xlm",
"mono_dataset": {
"ar": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ar.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ar.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ar.pth"
},
"de": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.de.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.de.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.de.pth"
},
"en": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.en.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.en.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.en.pth"
},
"es": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.es.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.es.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.es.pth"
},
"fr": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.fr.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.fr.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.fr.pth"
},
"hi": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.hi.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.hi.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.hi.pth"
},
"it": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.it.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.it.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.it.pth"
},
"ja": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ja.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ja.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ja.pth"
},
"ko": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ko.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ko.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ko.pth"
},
"nl": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.nl.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.nl.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.nl.pth"
},
"pl": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.pl.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.pl.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.pl.pth"
},
"pt": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.pt.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.pt.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.pt.pth"
},
"ru": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ru.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ru.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ru.pth"
},
"sv": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.sv.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.sv.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.sv.pth"
},
"tr": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.tr.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.tr.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.tr.pth"
},
"vi": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.vi.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.vi.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.vi.pth"
},
"zh": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.zh.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.zh.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.zh.pth"
}
},
"mono_list": [
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"sv",
"pl",
"ru",
"ar",
"tr",
"zh",
"ja",
"ko",
"hi",
"vi"
],
"mt_steps": [],
"multi_gpu": true,
"multi_node": true,
"n_gpu_per_node": 8,
"n_heads": 16,
"n_langs": 17,
"n_layers": 16,
"n_nodes": 4,
"node_id": 0,
"optimizer": "adam_inverse_sqrt,lr=0.00005,warmup_updates=30000,beta1=0.9,beta2=0.999,weight_decay=0.01,eps=0.000001",
"pad_index": 2,
"pad_token_id": 2,
"para_dataset": {},
"para_list": [],
"pc_steps": [],
"ref_paths": {},
"reload_checkpoint": "",
"reload_emb": "",
"reload_model": "/checkpoint/aconneau/dumped/xlm_17_100_240_big_model_upper.2/14884510/best-valid_zh_mlm_ppl.pth",
"sample_alpha": 0.5,
"save_periodic": 0,
"share_inout_emb": true,
"sinusoidal_embeddings": false,
"split_data": true,
"start_n_top": 5,
"stopping_criterion": "_valid_zh_mlm_ppl,25",
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "first",
"summary_use_proj": true,
"tokens_per_batch": -1,
"unk_index": 3,
"use_lang_emb": false,
"use_memory": false,
"validation_metrics": "_valid_en_mlm_ppl,_valid_mlm_ppl,_valid_zh_mlm_ppl",
"vocab_size": 200000,
"word_blank": 0.0,
"word_dropout": 0.0,
"word_keep": 0.1,
"word_mask": 0.8,
"word_mask_keep_rand": "0.8,0.1,0.1",
"word_pred": 0.15,
"word_rand": 0.1,
"word_shuffle": 0.0,
"world_size": 32
}