Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- config.json +356 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.onnx +3 -0
- model.onnx_data +3 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +62 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
model.onnx_data filter=lfs diff=lfs merge=lfs -text
|
config.json
ADDED
@@ -0,0 +1,356 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "xlm-mlm-17-1280",
|
3 |
+
"accumulate_gradients": 4,
|
4 |
+
"ae_steps": [],
|
5 |
+
"amp": 2,
|
6 |
+
"architectures": [
|
7 |
+
"XLMWithLMHeadModel"
|
8 |
+
],
|
9 |
+
"asm": false,
|
10 |
+
"attention_dropout": 0.1,
|
11 |
+
"batch_size": 16,
|
12 |
+
"beam_size": 1,
|
13 |
+
"bos_index": 0,
|
14 |
+
"bos_token_id": 0,
|
15 |
+
"bptt": 256,
|
16 |
+
"bt_src_langs": [],
|
17 |
+
"bt_steps": [],
|
18 |
+
"causal": false,
|
19 |
+
"clip_grad_norm": 1.0,
|
20 |
+
"clm_steps": [],
|
21 |
+
"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\"",
|
22 |
+
"context_size": 0,
|
23 |
+
"data_path": "/private/home/aconneau/projects/XLM/data/wiki/17/175k",
|
24 |
+
"debug": false,
|
25 |
+
"debug_slurm": false,
|
26 |
+
"debug_train": false,
|
27 |
+
"dropout": 0.1,
|
28 |
+
"dump_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656237",
|
29 |
+
"emb_dim": 1280,
|
30 |
+
"embed_init_std": 0.02209708691207961,
|
31 |
+
"encoder_only": true,
|
32 |
+
"end_n_top": 5,
|
33 |
+
"eos_index": 1,
|
34 |
+
"epoch_size": 200000,
|
35 |
+
"eval_bleu": false,
|
36 |
+
"eval_only": false,
|
37 |
+
"exp_id": "16656237",
|
38 |
+
"exp_name": "xlm_17_100_big.3",
|
39 |
+
"fp16": true,
|
40 |
+
"gelu_activation": true,
|
41 |
+
"global_rank": 0,
|
42 |
+
"group_by_size": true,
|
43 |
+
"hyp_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656237/hypotheses",
|
44 |
+
"id2lang": {
|
45 |
+
"0": "ar",
|
46 |
+
"1": "de",
|
47 |
+
"10": "pl",
|
48 |
+
"11": "pt",
|
49 |
+
"12": "ru",
|
50 |
+
"13": "sv",
|
51 |
+
"14": "tr",
|
52 |
+
"15": "vi",
|
53 |
+
"16": "zh",
|
54 |
+
"2": "en",
|
55 |
+
"3": "es",
|
56 |
+
"4": "fr",
|
57 |
+
"5": "hi",
|
58 |
+
"6": "it",
|
59 |
+
"7": "ja",
|
60 |
+
"8": "ko",
|
61 |
+
"9": "nl"
|
62 |
+
},
|
63 |
+
"init_std": 0.02,
|
64 |
+
"is_encoder": true,
|
65 |
+
"is_master": true,
|
66 |
+
"is_slurm_job": true,
|
67 |
+
"lambda_ae": 1.0,
|
68 |
+
"lambda_ae_config": null,
|
69 |
+
"lambda_bt": 1.0,
|
70 |
+
"lambda_bt_config": null,
|
71 |
+
"lambda_clm": 1.0,
|
72 |
+
"lambda_clm_config": null,
|
73 |
+
"lambda_mlm": 1.0,
|
74 |
+
"lambda_mlm_config": null,
|
75 |
+
"lambda_mt": 1.0,
|
76 |
+
"lambda_mt_config": null,
|
77 |
+
"lambda_pc": 1.0,
|
78 |
+
"lambda_pc_config": null,
|
79 |
+
"lang2id": {
|
80 |
+
"ar": 0,
|
81 |
+
"de": 1,
|
82 |
+
"en": 2,
|
83 |
+
"es": 3,
|
84 |
+
"fr": 4,
|
85 |
+
"hi": 5,
|
86 |
+
"it": 6,
|
87 |
+
"ja": 7,
|
88 |
+
"ko": 8,
|
89 |
+
"nl": 9,
|
90 |
+
"pl": 10,
|
91 |
+
"pt": 11,
|
92 |
+
"ru": 12,
|
93 |
+
"sv": 13,
|
94 |
+
"tr": 14,
|
95 |
+
"vi": 15,
|
96 |
+
"zh": 16
|
97 |
+
},
|
98 |
+
"lang_id": 0,
|
99 |
+
"langs": [
|
100 |
+
"en",
|
101 |
+
"fr",
|
102 |
+
"es",
|
103 |
+
"de",
|
104 |
+
"it",
|
105 |
+
"pt",
|
106 |
+
"nl",
|
107 |
+
"sv",
|
108 |
+
"pl",
|
109 |
+
"ru",
|
110 |
+
"ar",
|
111 |
+
"tr",
|
112 |
+
"zh",
|
113 |
+
"ja",
|
114 |
+
"ko",
|
115 |
+
"hi",
|
116 |
+
"vi"
|
117 |
+
],
|
118 |
+
"layer_norm_eps": 1e-12,
|
119 |
+
"lg_sampling_factor": 0.7,
|
120 |
+
"lgs": "en-fr-es-de-it-pt-nl-sv-pl-ru-ar-tr-zh-ja-ko-hi-vi",
|
121 |
+
"local_rank": 0,
|
122 |
+
"mask_index": 5,
|
123 |
+
"mask_token_id": 0,
|
124 |
+
"master_addr": "learnfair1605",
|
125 |
+
"master_port": 14148,
|
126 |
+
"max_batch_size": 0,
|
127 |
+
"max_epoch": 100000,
|
128 |
+
"max_len": 200,
|
129 |
+
"max_position_embeddings": 512,
|
130 |
+
"max_vocab": 200000,
|
131 |
+
"min_count": 0,
|
132 |
+
"mlm_steps": [
|
133 |
+
[
|
134 |
+
"en",
|
135 |
+
null
|
136 |
+
],
|
137 |
+
[
|
138 |
+
"fr",
|
139 |
+
null
|
140 |
+
],
|
141 |
+
[
|
142 |
+
"es",
|
143 |
+
null
|
144 |
+
],
|
145 |
+
[
|
146 |
+
"de",
|
147 |
+
null
|
148 |
+
],
|
149 |
+
[
|
150 |
+
"it",
|
151 |
+
null
|
152 |
+
],
|
153 |
+
[
|
154 |
+
"pt",
|
155 |
+
null
|
156 |
+
],
|
157 |
+
[
|
158 |
+
"nl",
|
159 |
+
null
|
160 |
+
],
|
161 |
+
[
|
162 |
+
"sv",
|
163 |
+
null
|
164 |
+
],
|
165 |
+
[
|
166 |
+
"pl",
|
167 |
+
null
|
168 |
+
],
|
169 |
+
[
|
170 |
+
"ru",
|
171 |
+
null
|
172 |
+
],
|
173 |
+
[
|
174 |
+
"ar",
|
175 |
+
null
|
176 |
+
],
|
177 |
+
[
|
178 |
+
"tr",
|
179 |
+
null
|
180 |
+
],
|
181 |
+
[
|
182 |
+
"zh",
|
183 |
+
null
|
184 |
+
],
|
185 |
+
[
|
186 |
+
"ja",
|
187 |
+
null
|
188 |
+
],
|
189 |
+
[
|
190 |
+
"ko",
|
191 |
+
null
|
192 |
+
],
|
193 |
+
[
|
194 |
+
"hi",
|
195 |
+
null
|
196 |
+
],
|
197 |
+
[
|
198 |
+
"vi",
|
199 |
+
null
|
200 |
+
]
|
201 |
+
],
|
202 |
+
"model_type": "xlm",
|
203 |
+
"mono_dataset": {
|
204 |
+
"ar": {
|
205 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ar.pth",
|
206 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ar.pth",
|
207 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ar.pth"
|
208 |
+
},
|
209 |
+
"de": {
|
210 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.de.pth",
|
211 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.de.pth",
|
212 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.de.pth"
|
213 |
+
},
|
214 |
+
"en": {
|
215 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.en.pth",
|
216 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.en.pth",
|
217 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.en.pth"
|
218 |
+
},
|
219 |
+
"es": {
|
220 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.es.pth",
|
221 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.es.pth",
|
222 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.es.pth"
|
223 |
+
},
|
224 |
+
"fr": {
|
225 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.fr.pth",
|
226 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.fr.pth",
|
227 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.fr.pth"
|
228 |
+
},
|
229 |
+
"hi": {
|
230 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.hi.pth",
|
231 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.hi.pth",
|
232 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.hi.pth"
|
233 |
+
},
|
234 |
+
"it": {
|
235 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.it.pth",
|
236 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.it.pth",
|
237 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.it.pth"
|
238 |
+
},
|
239 |
+
"ja": {
|
240 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ja.pth",
|
241 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ja.pth",
|
242 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ja.pth"
|
243 |
+
},
|
244 |
+
"ko": {
|
245 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ko.pth",
|
246 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ko.pth",
|
247 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ko.pth"
|
248 |
+
},
|
249 |
+
"nl": {
|
250 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.nl.pth",
|
251 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.nl.pth",
|
252 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.nl.pth"
|
253 |
+
},
|
254 |
+
"pl": {
|
255 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.pl.pth",
|
256 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.pl.pth",
|
257 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.pl.pth"
|
258 |
+
},
|
259 |
+
"pt": {
|
260 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.pt.pth",
|
261 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.pt.pth",
|
262 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.pt.pth"
|
263 |
+
},
|
264 |
+
"ru": {
|
265 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.ru.pth",
|
266 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.ru.pth",
|
267 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.ru.pth"
|
268 |
+
},
|
269 |
+
"sv": {
|
270 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.sv.pth",
|
271 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.sv.pth",
|
272 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.sv.pth"
|
273 |
+
},
|
274 |
+
"tr": {
|
275 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.tr.pth",
|
276 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.tr.pth",
|
277 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.tr.pth"
|
278 |
+
},
|
279 |
+
"vi": {
|
280 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.vi.pth",
|
281 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.vi.pth",
|
282 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.vi.pth"
|
283 |
+
},
|
284 |
+
"zh": {
|
285 |
+
"test": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/test.zh.pth",
|
286 |
+
"train": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/train.zh.pth",
|
287 |
+
"valid": "/private/home/aconneau/projects/XLM/data/wiki/17/175k/valid.zh.pth"
|
288 |
+
}
|
289 |
+
},
|
290 |
+
"mono_list": [
|
291 |
+
"en",
|
292 |
+
"fr",
|
293 |
+
"es",
|
294 |
+
"de",
|
295 |
+
"it",
|
296 |
+
"pt",
|
297 |
+
"nl",
|
298 |
+
"sv",
|
299 |
+
"pl",
|
300 |
+
"ru",
|
301 |
+
"ar",
|
302 |
+
"tr",
|
303 |
+
"zh",
|
304 |
+
"ja",
|
305 |
+
"ko",
|
306 |
+
"hi",
|
307 |
+
"vi"
|
308 |
+
],
|
309 |
+
"mt_steps": [],
|
310 |
+
"multi_gpu": true,
|
311 |
+
"multi_node": true,
|
312 |
+
"n_gpu_per_node": 8,
|
313 |
+
"n_heads": 16,
|
314 |
+
"n_langs": 17,
|
315 |
+
"n_layers": 16,
|
316 |
+
"n_nodes": 4,
|
317 |
+
"node_id": 0,
|
318 |
+
"optimizer": "adam_inverse_sqrt,lr=0.00005,warmup_updates=30000,beta1=0.9,beta2=0.999,weight_decay=0.01,eps=0.000001",
|
319 |
+
"pad_index": 2,
|
320 |
+
"pad_token_id": 2,
|
321 |
+
"para_dataset": {},
|
322 |
+
"para_list": [],
|
323 |
+
"pc_steps": [],
|
324 |
+
"ref_paths": {},
|
325 |
+
"reload_checkpoint": "",
|
326 |
+
"reload_emb": "",
|
327 |
+
"reload_model": "/checkpoint/aconneau/dumped/xlm_17_100_240_big_model_upper.2/14884510/best-valid_zh_mlm_ppl.pth",
|
328 |
+
"sample_alpha": 0.5,
|
329 |
+
"save_periodic": 0,
|
330 |
+
"share_inout_emb": true,
|
331 |
+
"sinusoidal_embeddings": false,
|
332 |
+
"split_data": true,
|
333 |
+
"start_n_top": 5,
|
334 |
+
"stopping_criterion": "_valid_zh_mlm_ppl,25",
|
335 |
+
"summary_activation": null,
|
336 |
+
"summary_first_dropout": 0.1,
|
337 |
+
"summary_proj_to_labels": true,
|
338 |
+
"summary_type": "first",
|
339 |
+
"summary_use_proj": true,
|
340 |
+
"tokens_per_batch": -1,
|
341 |
+
"transformers_version": "4.34.0.dev0",
|
342 |
+
"unk_index": 3,
|
343 |
+
"use_lang_emb": false,
|
344 |
+
"use_memory": false,
|
345 |
+
"validation_metrics": "_valid_en_mlm_ppl,_valid_mlm_ppl,_valid_zh_mlm_ppl",
|
346 |
+
"vocab_size": 200000,
|
347 |
+
"word_blank": 0.0,
|
348 |
+
"word_dropout": 0.0,
|
349 |
+
"word_keep": 0.1,
|
350 |
+
"word_mask": 0.8,
|
351 |
+
"word_mask_keep_rand": "0.8,0.1,0.1",
|
352 |
+
"word_pred": 0.15,
|
353 |
+
"word_rand": 0.1,
|
354 |
+
"word_shuffle": 0.0,
|
355 |
+
"world_size": 32
|
356 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"pad_token_id": 2,
|
5 |
+
"transformers_version": "4.34.0.dev0"
|
6 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2e9a140da6b8c24d5e43287bd6c17a174f7ea0b4ebf4f4158f698eb3235dfa22
|
3 |
+
size 297116
|
model.onnx_data
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5951c7e8e73f5d247113842ff966017e0ade61c5f284dcd4b3be843d63cfe372
|
3 |
+
size 2286787840
|
special_tokens_map.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<special0>",
|
4 |
+
"<special1>",
|
5 |
+
"<special2>",
|
6 |
+
"<special3>",
|
7 |
+
"<special4>",
|
8 |
+
"<special5>",
|
9 |
+
"<special6>",
|
10 |
+
"<special7>",
|
11 |
+
"<special8>",
|
12 |
+
"<special9>"
|
13 |
+
],
|
14 |
+
"bos_token": "<s>",
|
15 |
+
"cls_token": "</s>",
|
16 |
+
"mask_token": "<special1>",
|
17 |
+
"pad_token": "<pad>",
|
18 |
+
"sep_token": "</s>",
|
19 |
+
"unk_token": "<unk>"
|
20 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<special0>",
|
4 |
+
"<special1>",
|
5 |
+
"<special2>",
|
6 |
+
"<special3>",
|
7 |
+
"<special4>",
|
8 |
+
"<special5>",
|
9 |
+
"<special6>",
|
10 |
+
"<special7>",
|
11 |
+
"<special8>",
|
12 |
+
"<special9>"
|
13 |
+
],
|
14 |
+
"bos_token": "<s>",
|
15 |
+
"clean_up_tokenization_spaces": true,
|
16 |
+
"cls_token": "</s>",
|
17 |
+
"do_lowercase_and_remove_accent": false,
|
18 |
+
"id2lang": {
|
19 |
+
"0": "ar",
|
20 |
+
"1": "de",
|
21 |
+
"10": "pl",
|
22 |
+
"11": "pt",
|
23 |
+
"12": "ru",
|
24 |
+
"13": "sv",
|
25 |
+
"14": "tr",
|
26 |
+
"15": "vi",
|
27 |
+
"16": "zh",
|
28 |
+
"2": "en",
|
29 |
+
"3": "es",
|
30 |
+
"4": "fr",
|
31 |
+
"5": "hi",
|
32 |
+
"6": "it",
|
33 |
+
"7": "ja",
|
34 |
+
"8": "ko",
|
35 |
+
"9": "nl"
|
36 |
+
},
|
37 |
+
"lang2id": {
|
38 |
+
"ar": 0,
|
39 |
+
"de": 1,
|
40 |
+
"en": 2,
|
41 |
+
"es": 3,
|
42 |
+
"fr": 4,
|
43 |
+
"hi": 5,
|
44 |
+
"it": 6,
|
45 |
+
"ja": 7,
|
46 |
+
"ko": 8,
|
47 |
+
"nl": 9,
|
48 |
+
"pl": 10,
|
49 |
+
"pt": 11,
|
50 |
+
"ru": 12,
|
51 |
+
"sv": 13,
|
52 |
+
"tr": 14,
|
53 |
+
"vi": 15,
|
54 |
+
"zh": 16
|
55 |
+
},
|
56 |
+
"mask_token": "<special1>",
|
57 |
+
"model_max_length": 512,
|
58 |
+
"pad_token": "<pad>",
|
59 |
+
"sep_token": "</s>",
|
60 |
+
"tokenizer_class": "XLMTokenizer",
|
61 |
+
"unk_token": "<unk>"
|
62 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|