Initial commit
Browse files- .gitattributes +1 -0
- README.md +973 -0
- benchmark_results.txt +216 -0
- benchmark_translations.zip +0 -0
- config.json +41 -0
- generation_config.json +16 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- source.spm +3 -0
- special_tokens_map.json +1 -0
- target.spm +3 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
*.spm filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,973 @@
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1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
language:
|
4 |
+
- bas
|
5 |
+
- bem
|
6 |
+
- bnt
|
7 |
+
- bss
|
8 |
+
- cce
|
9 |
+
- cjk
|
10 |
+
- cwe
|
11 |
+
- de
|
12 |
+
- dig
|
13 |
+
- dug
|
14 |
+
- en
|
15 |
+
- es
|
16 |
+
- fr
|
17 |
+
- gog
|
18 |
+
- gwr
|
19 |
+
- hay
|
20 |
+
- heh
|
21 |
+
- hz
|
22 |
+
- jmc
|
23 |
+
- kam
|
24 |
+
- kdc
|
25 |
+
- kdn
|
26 |
+
- kg
|
27 |
+
- ki
|
28 |
+
- kj
|
29 |
+
- kki
|
30 |
+
- kkj
|
31 |
+
- kmb
|
32 |
+
- ksb
|
33 |
+
- lem
|
34 |
+
- lg
|
35 |
+
- ln
|
36 |
+
- lon
|
37 |
+
- lsm
|
38 |
+
- lua
|
39 |
+
- luy
|
40 |
+
- mcp
|
41 |
+
- myx
|
42 |
+
- nd
|
43 |
+
- ng
|
44 |
+
- nim
|
45 |
+
- nnb
|
46 |
+
- nr
|
47 |
+
- nso
|
48 |
+
- nuj
|
49 |
+
- ny
|
50 |
+
- nyf
|
51 |
+
- nyn
|
52 |
+
- nyo
|
53 |
+
- nyy
|
54 |
+
- old
|
55 |
+
- ozm
|
56 |
+
- pkb
|
57 |
+
- pt
|
58 |
+
- rim
|
59 |
+
- rn
|
60 |
+
- rw
|
61 |
+
- seh
|
62 |
+
- sn
|
63 |
+
- ss
|
64 |
+
- st
|
65 |
+
- suk
|
66 |
+
- sw
|
67 |
+
- sxb
|
68 |
+
- thk
|
69 |
+
- tlj
|
70 |
+
- tn
|
71 |
+
- toh
|
72 |
+
- toi
|
73 |
+
- ts
|
74 |
+
- tum
|
75 |
+
- umb
|
76 |
+
- ve
|
77 |
+
- vmw
|
78 |
+
- vun
|
79 |
+
- wmw
|
80 |
+
- xh
|
81 |
+
- xog
|
82 |
+
- zu
|
83 |
+
|
84 |
+
tags:
|
85 |
+
- translation
|
86 |
+
- opus-mt-tc-bible
|
87 |
+
|
88 |
+
license: apache-2.0
|
89 |
+
model-index:
|
90 |
+
- name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt
|
91 |
+
results:
|
92 |
+
- task:
|
93 |
+
name: Translation deu-tsn
|
94 |
+
type: translation
|
95 |
+
args: deu-tsn
|
96 |
+
dataset:
|
97 |
+
name: flores200-devtest
|
98 |
+
type: flores200-devtest
|
99 |
+
args: deu-tsn
|
100 |
+
metrics:
|
101 |
+
- name: BLEU
|
102 |
+
type: bleu
|
103 |
+
value: 11.9
|
104 |
+
- name: chr-F
|
105 |
+
type: chrf
|
106 |
+
value: 0.39738
|
107 |
+
- task:
|
108 |
+
name: Translation eng-kin
|
109 |
+
type: translation
|
110 |
+
args: eng-kin
|
111 |
+
dataset:
|
112 |
+
name: flores200-devtest
|
113 |
+
type: flores200-devtest
|
114 |
+
args: eng-kin
|
115 |
+
metrics:
|
116 |
+
- name: BLEU
|
117 |
+
type: bleu
|
118 |
+
value: 11.1
|
119 |
+
- name: chr-F
|
120 |
+
type: chrf
|
121 |
+
value: 0.41492
|
122 |
+
- task:
|
123 |
+
name: Translation eng-lin
|
124 |
+
type: translation
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125 |
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args: eng-lin
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126 |
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dataset:
|
127 |
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name: flores200-devtest
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128 |
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type: flores200-devtest
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129 |
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args: eng-lin
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130 |
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metrics:
|
131 |
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132 |
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133 |
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134 |
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135 |
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136 |
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value: 0.45568
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137 |
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138 |
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139 |
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140 |
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141 |
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dataset:
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142 |
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143 |
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144 |
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args: eng-nso
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145 |
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metrics:
|
146 |
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147 |
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148 |
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149 |
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150 |
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151 |
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value: 0.48626
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152 |
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- task:
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153 |
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name: Translation eng-nya
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154 |
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type: translation
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155 |
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args: eng-nya
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156 |
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dataset:
|
157 |
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158 |
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159 |
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160 |
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metrics:
|
161 |
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162 |
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163 |
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164 |
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165 |
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166 |
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value: 0.45067
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167 |
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- task:
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168 |
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name: Translation eng-sna
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169 |
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type: translation
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170 |
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args: eng-sna
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171 |
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dataset:
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172 |
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173 |
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174 |
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175 |
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metrics:
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176 |
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177 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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name: Translation eng-sot
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184 |
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type: translation
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185 |
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args: eng-sot
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186 |
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dataset:
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187 |
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188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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199 |
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200 |
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201 |
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dataset:
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202 |
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203 |
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204 |
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205 |
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metrics:
|
206 |
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207 |
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208 |
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209 |
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210 |
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211 |
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212 |
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213 |
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214 |
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215 |
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216 |
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dataset:
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217 |
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218 |
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219 |
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args: eng-tso
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220 |
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metrics:
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221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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227 |
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228 |
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229 |
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230 |
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231 |
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232 |
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233 |
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234 |
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235 |
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236 |
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237 |
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238 |
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239 |
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240 |
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241 |
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242 |
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- task:
|
243 |
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244 |
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245 |
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args: eng-zul
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246 |
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dataset:
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247 |
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248 |
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249 |
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args: eng-zul
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250 |
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metrics:
|
251 |
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252 |
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253 |
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254 |
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255 |
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256 |
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257 |
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- task:
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258 |
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259 |
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260 |
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args: fra-lin
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261 |
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dataset:
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262 |
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263 |
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264 |
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265 |
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metrics:
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266 |
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267 |
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268 |
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269 |
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270 |
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271 |
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272 |
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273 |
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274 |
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275 |
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276 |
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dataset:
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277 |
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278 |
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279 |
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280 |
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metrics:
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281 |
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282 |
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283 |
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284 |
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285 |
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286 |
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287 |
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|
288 |
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289 |
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290 |
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291 |
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292 |
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293 |
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294 |
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295 |
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metrics:
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296 |
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297 |
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298 |
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299 |
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300 |
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301 |
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302 |
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303 |
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304 |
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305 |
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306 |
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307 |
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308 |
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309 |
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310 |
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311 |
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312 |
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313 |
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314 |
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315 |
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316 |
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317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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323 |
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324 |
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325 |
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326 |
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327 |
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328 |
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329 |
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330 |
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331 |
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332 |
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333 |
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334 |
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335 |
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336 |
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337 |
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338 |
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339 |
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340 |
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341 |
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342 |
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343 |
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344 |
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345 |
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346 |
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347 |
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348 |
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349 |
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350 |
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351 |
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352 |
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353 |
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354 |
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355 |
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356 |
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357 |
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358 |
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359 |
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360 |
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361 |
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362 |
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363 |
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364 |
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365 |
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366 |
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367 |
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368 |
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369 |
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370 |
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371 |
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372 |
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373 |
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374 |
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375 |
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376 |
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377 |
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378 |
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379 |
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380 |
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381 |
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dataset:
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382 |
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383 |
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384 |
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385 |
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386 |
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387 |
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388 |
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389 |
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390 |
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391 |
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392 |
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393 |
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394 |
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395 |
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396 |
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397 |
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398 |
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399 |
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400 |
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401 |
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402 |
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403 |
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404 |
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405 |
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406 |
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407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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413 |
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414 |
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415 |
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416 |
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417 |
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418 |
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419 |
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420 |
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421 |
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422 |
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423 |
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424 |
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425 |
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426 |
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427 |
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428 |
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429 |
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430 |
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431 |
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432 |
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433 |
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434 |
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435 |
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436 |
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437 |
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438 |
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439 |
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440 |
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441 |
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442 |
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443 |
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444 |
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445 |
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446 |
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447 |
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448 |
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449 |
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450 |
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451 |
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452 |
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453 |
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454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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460 |
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461 |
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462 |
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463 |
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464 |
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465 |
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466 |
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467 |
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468 |
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469 |
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470 |
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471 |
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472 |
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473 |
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474 |
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475 |
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476 |
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477 |
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478 |
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479 |
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480 |
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481 |
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482 |
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483 |
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484 |
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485 |
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486 |
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487 |
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488 |
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489 |
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490 |
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491 |
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492 |
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493 |
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494 |
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495 |
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496 |
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497 |
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498 |
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499 |
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500 |
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501 |
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502 |
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503 |
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504 |
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505 |
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506 |
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507 |
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508 |
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509 |
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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516 |
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517 |
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518 |
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519 |
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520 |
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521 |
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522 |
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523 |
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524 |
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525 |
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526 |
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527 |
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528 |
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529 |
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530 |
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531 |
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532 |
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533 |
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534 |
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535 |
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536 |
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537 |
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538 |
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539 |
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540 |
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541 |
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542 |
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543 |
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544 |
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545 |
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546 |
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547 |
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548 |
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549 |
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550 |
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551 |
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552 |
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553 |
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554 |
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555 |
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556 |
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557 |
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558 |
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559 |
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560 |
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561 |
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562 |
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563 |
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564 |
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565 |
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566 |
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567 |
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568 |
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569 |
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570 |
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571 |
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572 |
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573 |
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574 |
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575 |
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576 |
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577 |
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578 |
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579 |
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580 |
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581 |
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582 |
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583 |
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584 |
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585 |
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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592 |
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593 |
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594 |
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595 |
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597 |
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599 |
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600 |
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601 |
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602 |
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603 |
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604 |
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605 |
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606 |
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607 |
+
name: tico19-test
|
608 |
+
type: tico19-test
|
609 |
+
args: eng-kin
|
610 |
+
metrics:
|
611 |
+
- name: BLEU
|
612 |
+
type: bleu
|
613 |
+
value: 11.3
|
614 |
+
- name: chr-F
|
615 |
+
type: chrf
|
616 |
+
value: 0.40952
|
617 |
+
- task:
|
618 |
+
name: Translation eng-lin
|
619 |
+
type: translation
|
620 |
+
args: eng-lin
|
621 |
+
dataset:
|
622 |
+
name: tico19-test
|
623 |
+
type: tico19-test
|
624 |
+
args: eng-lin
|
625 |
+
metrics:
|
626 |
+
- name: BLEU
|
627 |
+
type: bleu
|
628 |
+
value: 15.5
|
629 |
+
- name: chr-F
|
630 |
+
type: chrf
|
631 |
+
value: 0.44670
|
632 |
+
- task:
|
633 |
+
name: Translation eng-lug
|
634 |
+
type: translation
|
635 |
+
args: eng-lug
|
636 |
+
dataset:
|
637 |
+
name: tico19-test
|
638 |
+
type: tico19-test
|
639 |
+
args: eng-lug
|
640 |
+
metrics:
|
641 |
+
- name: BLEU
|
642 |
+
type: bleu
|
643 |
+
value: 10.9
|
644 |
+
- name: chr-F
|
645 |
+
type: chrf
|
646 |
+
value: 0.38546
|
647 |
+
- task:
|
648 |
+
name: Translation eng-swa
|
649 |
+
type: translation
|
650 |
+
args: eng-swa
|
651 |
+
dataset:
|
652 |
+
name: tico19-test
|
653 |
+
type: tico19-test
|
654 |
+
args: eng-swa
|
655 |
+
metrics:
|
656 |
+
- name: BLEU
|
657 |
+
type: bleu
|
658 |
+
value: 28.0
|
659 |
+
- name: chr-F
|
660 |
+
type: chrf
|
661 |
+
value: 0.56798
|
662 |
+
- task:
|
663 |
+
name: Translation eng-zul
|
664 |
+
type: translation
|
665 |
+
args: eng-zul
|
666 |
+
dataset:
|
667 |
+
name: tico19-test
|
668 |
+
type: tico19-test
|
669 |
+
args: eng-zul
|
670 |
+
metrics:
|
671 |
+
- name: BLEU
|
672 |
+
type: bleu
|
673 |
+
value: 14.4
|
674 |
+
- name: chr-F
|
675 |
+
type: chrf
|
676 |
+
value: 0.53624
|
677 |
+
- task:
|
678 |
+
name: Translation fra-lin
|
679 |
+
type: translation
|
680 |
+
args: fra-lin
|
681 |
+
dataset:
|
682 |
+
name: tico19-test
|
683 |
+
type: tico19-test
|
684 |
+
args: fra-lin
|
685 |
+
metrics:
|
686 |
+
- name: BLEU
|
687 |
+
type: bleu
|
688 |
+
value: 12.0
|
689 |
+
- name: chr-F
|
690 |
+
type: chrf
|
691 |
+
value: 0.39748
|
692 |
+
- task:
|
693 |
+
name: Translation fra-swa
|
694 |
+
type: translation
|
695 |
+
args: fra-swa
|
696 |
+
dataset:
|
697 |
+
name: tico19-test
|
698 |
+
type: tico19-test
|
699 |
+
args: fra-swa
|
700 |
+
metrics:
|
701 |
+
- name: BLEU
|
702 |
+
type: bleu
|
703 |
+
value: 16.8
|
704 |
+
- name: chr-F
|
705 |
+
type: chrf
|
706 |
+
value: 0.44926
|
707 |
+
- task:
|
708 |
+
name: Translation por-lin
|
709 |
+
type: translation
|
710 |
+
args: por-lin
|
711 |
+
dataset:
|
712 |
+
name: tico19-test
|
713 |
+
type: tico19-test
|
714 |
+
args: por-lin
|
715 |
+
metrics:
|
716 |
+
- name: BLEU
|
717 |
+
type: bleu
|
718 |
+
value: 12.5
|
719 |
+
- name: chr-F
|
720 |
+
type: chrf
|
721 |
+
value: 0.41729
|
722 |
+
- task:
|
723 |
+
name: Translation por-swa
|
724 |
+
type: translation
|
725 |
+
args: por-swa
|
726 |
+
dataset:
|
727 |
+
name: tico19-test
|
728 |
+
type: tico19-test
|
729 |
+
args: por-swa
|
730 |
+
metrics:
|
731 |
+
- name: BLEU
|
732 |
+
type: bleu
|
733 |
+
value: 19.6
|
734 |
+
- name: chr-F
|
735 |
+
type: chrf
|
736 |
+
value: 0.49303
|
737 |
+
- task:
|
738 |
+
name: Translation spa-lin
|
739 |
+
type: translation
|
740 |
+
args: spa-lin
|
741 |
+
dataset:
|
742 |
+
name: tico19-test
|
743 |
+
type: tico19-test
|
744 |
+
args: spa-lin
|
745 |
+
metrics:
|
746 |
+
- name: BLEU
|
747 |
+
type: bleu
|
748 |
+
value: 12.1
|
749 |
+
- name: chr-F
|
750 |
+
type: chrf
|
751 |
+
value: 0.41645
|
752 |
+
- task:
|
753 |
+
name: Translation spa-swa
|
754 |
+
type: translation
|
755 |
+
args: spa-swa
|
756 |
+
dataset:
|
757 |
+
name: tico19-test
|
758 |
+
type: tico19-test
|
759 |
+
args: spa-swa
|
760 |
+
metrics:
|
761 |
+
- name: BLEU
|
762 |
+
type: bleu
|
763 |
+
value: 18.8
|
764 |
+
- name: chr-F
|
765 |
+
type: chrf
|
766 |
+
value: 0.48614
|
767 |
+
---
|
768 |
+
# opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt
|
769 |
+
|
770 |
+
## Table of Contents
|
771 |
+
- [Model Details](#model-details)
|
772 |
+
- [Uses](#uses)
|
773 |
+
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
|
774 |
+
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
|
775 |
+
- [Training](#training)
|
776 |
+
- [Evaluation](#evaluation)
|
777 |
+
- [Citation Information](#citation-information)
|
778 |
+
- [Acknowledgements](#acknowledgements)
|
779 |
+
|
780 |
+
## Model Details
|
781 |
+
|
782 |
+
Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to Bantu languages (bnt).
|
783 |
+
|
784 |
+
This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
|
785 |
+
**Model Description:**
|
786 |
+
- **Developed by:** Language Technology Research Group at the University of Helsinki
|
787 |
+
- **Model Type:** Translation (transformer-big)
|
788 |
+
- **Release**: 2024-05-30
|
789 |
+
- **License:** Apache-2.0
|
790 |
+
- **Language(s):**
|
791 |
+
- Source Language(s): deu eng fra por spa
|
792 |
+
- Target Language(s): bas bem bnt bss cce cjk cwe dig dug gog gwr hay heh her jmc kam kdc kdn kik kin kki kkj kmb kng kon ksb kua ldi lem lin lon lsm lua lug luy mcp myx nbl nde ndo nim nnb nso nuj nya nyf nyn nyo nyy old ozm pkb rim run seh sna sot ssw suk swa swc swh sxb thk tlj toh toi tsn tso tum umb ven vmw vun wmw xho xog zul
|
793 |
+
- Valid Target Language Labels: >>abb<< >>agh<< >>akw<< >>asa<< >>auh<< >>axk<< >>baf<< >>bag<< >>bas<< >>bbg<< >>bbi<< >>bbm<< >>bcp<< >>bdp<< >>bdu<< >>beb<< >>bem<< >>beq<< >>bez<< >>bhy<< >>bip<< >>biw<< >>biz<< >>bja<< >>bkf<< >>bkh<< >>bkj<< >>bkp<< >>bkt<< >>bkw<< >>bli<< >>blv<< >>bmb<< >>bmg<< >>bml<< >>bmw<< >>bng<< >>bni<< >>bnm<< >>bnt_Latn<< >>bnx<< >>boh<< >>bok<< >>bou<< >>boy<< >>bpj<< >>bqm<< >>bqu<< >>bqz<< >>brf<< >>bri<< >>brl<< >>bsi<< >>bss<< >>btb<< >>btc<< >>buf<< >>bui<< >>bum<< >>buu<< >>buw<< >>bvb<< >>bvg<< >>bvx<< >>bwc<< >>bwg<< >>bwl<< >>bws<< >>bwt<< >>bww<< >>bwz<< >>bxc<< >>bxg<< >>bxp<< >>byi<< >>bzm<< >>bzo<< >>cce<< >>ccl<< >>cgg<< >>chw<< >>cjk<< >>cjk_Latn<< >>coh<< >>cuh<< >>cwa<< >>cwb<< >>cwe<< >>dav<< >>dde<< >>dez<< >>dhm<< >>dhs<< >>dig<< >>dii<< >>diu<< >>diz<< >>dma<< >>dmx<< >>dne<< >>doe<< >>dov<< >>dua<< >>dug<< >>dzn<< >>ebo<< >>ebu<< >>ekm<< >>eko<< >>eto<< >>ewo<< >>fan<< >>fip<< >>flr<< >>fwe<< >>gev<< >>gey<< >>gmx<< >>gog<< >>guz<< >>gwe<< >>gwr<< >>gyi<< >>han<< >>haq<< >>hav<< >>hay<< >>hba<< >>heh<< >>hem<< >>her<< >>hij<< >>hka<< >>hke<< >>hol<< >>hom<< >>hoo<< >>hum<< >>ifm<< >>ikz<< >>ilb<< >>isn<< >>iyx<< >>jgb<< >>jit<< >>jmc<< >>job<< >>kam<< >>kbj<< >>kbs<< >>kck<< >>kcu<< >>kcv<< >>kcw<< >>kcz<< >>kdc<< >>kde<< >>kdg<< >>kdn<< >>keb<< >>ked<< >>khu<< >>khx<< >>khy<< >>kik<< >>kin<< >>kiv<< >>kiz<< >>kki<< >>kkj<< >>kkq<< >>kkw<< >>kmb<< >>kme<< >>kmw<< >>kng<< >>kny<< >>koh<< >>kon<< >>koo<< >>koq<< >>kqn<< >>ksb<< >>ksf<< >>ksv<< >>ktf<< >>ktu<< >>kty<< >>kua<< >>kuj<< >>kwc<< >>kwm<< >>kwn<< >>kws<< >>kwu<< >>kxx<< >>kya<< >>kzn<< >>kzo<< >>kzy<< >>lag<< >>lai<< >>lam<< >>lch<< >>ldi<< >>lea<< >>leb<< >>leh<< >>lej<< >>lel<< >>lem<< >>leo<< >>lfa<< >>lgm<< >>lgz<< >>lie<< >>lik<< >>lin<< >>liz<< >>lke<< >>llb<< >>lli<< >>lnb<< >>lol<< >>lon<< >>loo<< >>loq<< >>loz<< >>lse<< >>lsm<< >>lua<< >>lub<< >>lue<< >>lug<< >>luj<< >>lum<< >>lun<< >>lup<< >>luy<< >>lwa<< >>lyn<< >>mbm<< >>mbo<< >>mck<< >>mcp<< >>mcx<< >>mdn<< >>mdp<< >>mdq<< >>mdt<< >>mdu<< >>mdw<< >>mer<< >>mfu<< >>mgg<< >>mgh<< >>mgq<< >>mgr<< >>mgs<< >>mgv<< >>mgw<< >>mgy<< >>mgz<< >>mhb<< >>mhm<< >>mho<< >>mhw<< >>mjh<< >>mkk<< >>mkw<< >>mlb<< >>mlk<< >>mmu<< >>mmz<< >>mny<< >>mow<< >>mpa<< >>mvw<< >>mwe<< >>mwn<< >>mws<< >>mwz<< >>mxc<< >>mxg<< >>mxo<< >>myc<< >>mye<< >>myx<< >>mzd<< >>nba<< >>nbd<< >>nbl<< >>nda<< >>ndc<< >>nde<< >>ndg<< >>ndh<< >>ndj<< >>ndk<< >>ndl<< >>ndn<< >>ndo<< >>ndq<< >>ndw<< >>ngc<< >>ngd<< >>ngl<< >>ngo<< >>ngp<< >>ngq<< >>ngy<< >>ngz<< >>nih<< >>nim<< >>nix<< >>njx<< >>njy<< >>nka<< >>nkc<< >>nkn<< >>nkt<< >>nkv<< >>nkw<< >>nlj<< >>nlo<< >>nmd<< >>nmg<< >>nmq<< >>nnb<< >>nnb_Latn<< >>nne<< >>nnq<< >>noq<< >>now<< >>nql<< >>nra<< >>nse<< >>nso<< >>nsx<< >>nte<< >>ntk<< >>nto<< >>nui<< >>nuj<< >>nvo<< >>nxd<< >>nxi<< >>nxo<< >>nya<< >>nyc<< >>nye<< >>nyf<< >>nyg<< >>nyj<< >>nyk<< >>nym<< >>nyn<< >>nyo<< >>nyr<< >>nyu<< >>nyy<< >>nzb<< >>nzd<< >>old<< >>olu<< >>oml<< >>ozm<< >>pae<< >>pbr<< >>pem<< >>phm<< >>pic<< >>piw<< >>pkb<< >>pmm<< >>pof<< >>poy<< >>puu<< >>reg<< >>rim<< >>rnd<< >>rng<< >>rnw<< >>rof<< >>rub<< >>ruc<< >>ruf<< >>run<< >>rwk<< >>rwm<< >>sak<< >>sbk<< >>sbm<< >>sbp<< >>sbs<< >>sbw<< >>sby<< >>sdj<< >>seg<< >>seh<< >>sgm<< >>shc<< >>shq<< >>shr<< >>sie<< >>skt<< >>slx<< >>smd<< >>smx<< >>sna<< >>sng<< >>snq<< >>soc<< >>sod<< >>soe<< >>soo<< >>sop<< >>sot<< >>sox<< >>soz<< >>ssc<< >>ssw<< >>sub<< >>suj<< >>suk<< >>suw<< >>swa<< >>swb<< >>swc<< >>swh<< >>swj<< >>swk<< >>sxb<< >>sxe<< >>syi<< >>syx<< >>szg<< >>szv<< >>tap<< >>tbt<< >>tck<< >>teg<< >>tek<< >>tga<< >>thk<< >>tii<< >>tke<< >>tlj<< >>tll<< >>tmv<< >>tny<< >>tog<< >>toh<< >>toi<< >>toi_Latn<< >>tsa<< >>tsc<< >>tsn<< >>tso<< >>tsv<< >>ttf<< >>ttj<< >>ttl<< >>tum<< >>tvs<< >>tvu<< >>twl<< >>two<< >>twx<< >>tyi<< >>tyx<< >>ukh<< >>umb<< >>vau<< >>ven<< >>vid<< >>vif<< >>vin<< >>vmk<< >>vmr<< >>vmw<< >>vum<< >>vun<< >>wbh<< >>wbi<< >>wdd<< >>wlc<< >>wmw<< >>wni<< >>won<< >>wum<< >>wun<< >>xdo<< >>xho<< >>xku<< >>xkv<< >>xma<< >>xmc<< >>xog<< >>xsq<< >>yaf<< >>yao<< >>yas<< >>yat<< >>yav<< >>yel<< >>yey<< >>yko<< >>ymk<< >>yns<< >>yom<< >>zaj<< >>zak<< >>zdj<< >>zga<< >>zin<< >>zmb<< >>zmf<< >>zmn<< >>zmp<< >>zmq<< >>zms<< >>zmw<< >>zmx<< >>zul<<
|
794 |
+
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
795 |
+
- **Resources for more information:**
|
796 |
+
- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-bnt/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
797 |
+
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
798 |
+
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
|
799 |
+
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/)
|
800 |
+
- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1)
|
801 |
+
- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/)
|
802 |
+
|
803 |
+
This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>bas<<`
|
804 |
+
|
805 |
+
## Uses
|
806 |
+
|
807 |
+
This model can be used for translation and text-to-text generation.
|
808 |
+
|
809 |
+
## Risks, Limitations and Biases
|
810 |
+
|
811 |
+
**CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.**
|
812 |
+
|
813 |
+
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
|
814 |
+
|
815 |
+
## How to Get Started With the Model
|
816 |
+
|
817 |
+
A short example code:
|
818 |
+
|
819 |
+
```python
|
820 |
+
from transformers import MarianMTModel, MarianTokenizer
|
821 |
+
|
822 |
+
src_text = [
|
823 |
+
">>bas<< Replace this with text in an accepted source language.",
|
824 |
+
">>zul<< This is the second sentence."
|
825 |
+
]
|
826 |
+
|
827 |
+
model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt"
|
828 |
+
tokenizer = MarianTokenizer.from_pretrained(model_name)
|
829 |
+
model = MarianMTModel.from_pretrained(model_name)
|
830 |
+
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
|
831 |
+
|
832 |
+
for t in translated:
|
833 |
+
print( tokenizer.decode(t, skip_special_tokens=True) )
|
834 |
+
```
|
835 |
+
|
836 |
+
You can also use OPUS-MT models with the transformers pipelines, for example:
|
837 |
+
|
838 |
+
```python
|
839 |
+
from transformers import pipeline
|
840 |
+
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt")
|
841 |
+
print(pipe(">>bas<< Replace this with text in an accepted source language."))
|
842 |
+
```
|
843 |
+
|
844 |
+
## Training
|
845 |
+
|
846 |
+
- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
|
847 |
+
- **Pre-processing**: SentencePiece (spm32k,spm32k)
|
848 |
+
- **Model Type:** transformer-big
|
849 |
+
- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
850 |
+
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
851 |
+
|
852 |
+
## Evaluation
|
853 |
+
|
854 |
+
* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-bnt/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
855 |
+
* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt)
|
856 |
+
* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt)
|
857 |
+
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
|
858 |
+
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
|
859 |
+
|
860 |
+
| langpair | testset | chr-F | BLEU | #sent | #words |
|
861 |
+
|----------|---------|-------|-------|-------|--------|
|
862 |
+
| eng-run | tatoeba-test-v2021-08-07 | 0.44207 | 11.8 | 1703 | 6710 |
|
863 |
+
| eng-swa | tatoeba-test-v2021-08-07 | 0.60298 | 32.7 | 387 | 1888 |
|
864 |
+
| fra-run | tatoeba-test-v2021-08-07 | 0.42664 | 11.2 | 1274 | 5081 |
|
865 |
+
| spa-run | tatoeba-test-v2021-08-07 | 0.41921 | 10.5 | 963 | 3886 |
|
866 |
+
| eng-lin | flores101-devtest | 0.43748 | 13.2 | 1012 | 26769 |
|
867 |
+
| eng-nso | flores101-devtest | 0.47122 | 19.4 | 1012 | 31298 |
|
868 |
+
| eng-sna | flores101-devtest | 0.44294 | 9.4 | 1012 | 20105 |
|
869 |
+
| eng-xho | flores101-devtest | 0.50110 | 11.6 | 1012 | 18227 |
|
870 |
+
| fra-sna | flores101-devtest | 0.40676 | 6.2 | 1012 | 20105 |
|
871 |
+
| por-lin | flores101-devtest | 0.41675 | 10.7 | 1012 | 26769 |
|
872 |
+
| spa-lin | flores101-devtest | 0.40631 | 8.8 | 1012 | 26769 |
|
873 |
+
| deu-lin | flores200-devtest | 0.40763 | 9.9 | 1012 | 26769 |
|
874 |
+
| deu-xho | flores200-devtest | 0.40586 | 4.8 | 1012 | 18227 |
|
875 |
+
| eng-kin | flores200-devtest | 0.41492 | 11.1 | 1012 | 22774 |
|
876 |
+
| eng-lin | flores200-devtest | 0.45568 | 14.7 | 1012 | 26769 |
|
877 |
+
| eng-nso | flores200-devtest | 0.48626 | 20.8 | 1012 | 31298 |
|
878 |
+
| eng-nya | flores200-devtest | 0.45067 | 10.7 | 1012 | 22180 |
|
879 |
+
| eng-sna | flores200-devtest | 0.45629 | 10.1 | 1012 | 20105 |
|
880 |
+
| eng-sot | flores200-devtest | 0.45331 | 15.4 | 1012 | 31600 |
|
881 |
+
| eng-ssw | flores200-devtest | 0.43635 | 7.1 | 1012 | 18508 |
|
882 |
+
| eng-tsn | flores200-devtest | 0.45233 | 17.7 | 1012 | 33831 |
|
883 |
+
| eng-tso | flores200-devtest | 0.48529 | 18.3 | 1012 | 29548 |
|
884 |
+
| eng-xho | flores200-devtest | 0.51974 | 13.1 | 1012 | 18227 |
|
885 |
+
| eng-zul | flores200-devtest | 0.53320 | 14.0 | 1012 | 18556 |
|
886 |
+
| fra-lin | flores200-devtest | 0.44410 | 13.0 | 1012 | 26769 |
|
887 |
+
| fra-sna | flores200-devtest | 0.42053 | 6.9 | 1012 | 20105 |
|
888 |
+
| fra-xho | flores200-devtest | 0.44537 | 7.1 | 1012 | 18227 |
|
889 |
+
| fra-zul | flores200-devtest | 0.41291 | 5.7 | 1012 | 18556 |
|
890 |
+
| por-lin | flores200-devtest | 0.42944 | 11.7 | 1012 | 26769 |
|
891 |
+
| por-xho | flores200-devtest | 0.41363 | 5.8 | 1012 | 18227 |
|
892 |
+
| spa-lin | flores200-devtest | 0.41938 | 9.4 | 1012 | 26769 |
|
893 |
+
| deu-swa | ntrex128 | 0.48979 | 18.0 | 1997 | 46859 |
|
894 |
+
| deu-tsn | ntrex128 | 0.41894 | 15.4 | 1997 | 71271 |
|
895 |
+
| eng-nya | ntrex128 | 0.46801 | 14.9 | 1997 | 43727 |
|
896 |
+
| eng-ssw | ntrex128 | 0.42880 | 6.7 | 1997 | 36169 |
|
897 |
+
| eng-swa | ntrex128 | 0.60117 | 33.4 | 1997 | 46859 |
|
898 |
+
| eng-tsn | ntrex128 | 0.46599 | 22.2 | 1997 | 71271 |
|
899 |
+
| eng-xho | ntrex128 | 0.48847 | 11.2 | 1997 | 35439 |
|
900 |
+
| eng-zul | ntrex128 | 0.49764 | 10.7 | 1997 | 34438 |
|
901 |
+
| fra-swa | ntrex128 | 0.45494 | 17.5 | 1997 | 46859 |
|
902 |
+
| fra-tsn | ntrex128 | 0.41426 | 15.3 | 1997 | 71271 |
|
903 |
+
| fra-xho | ntrex128 | 0.41206 | 5.2 | 1997 | 35439 |
|
904 |
+
| por-swa | ntrex128 | 0.46465 | 18.0 | 1997 | 46859 |
|
905 |
+
| por-tsn | ntrex128 | 0.40236 | 14.5 | 1997 | 71271 |
|
906 |
+
| por-xho | ntrex128 | 0.40070 | 5.0 | 1997 | 35439 |
|
907 |
+
| spa-swa | ntrex128 | 0.46670 | 18.1 | 1997 | 46859 |
|
908 |
+
| spa-tsn | ntrex128 | 0.40263 | 14.2 | 1997 | 71271 |
|
909 |
+
| spa-xho | ntrex128 | 0.40247 | 4.9 | 1997 | 35439 |
|
910 |
+
| eng-kin | tico19-test | 0.40952 | 11.3 | 2100 | 55034 |
|
911 |
+
| eng-lin | tico19-test | 0.44670 | 15.5 | 2100 | 61116 |
|
912 |
+
| eng-swa | tico19-test | 0.56798 | 28.0 | 2100 | 58846 |
|
913 |
+
| eng-zul | tico19-test | 0.53624 | 14.4 | 2100 | 44098 |
|
914 |
+
| fra-swa | tico19-test | 0.44926 | 16.8 | 2100 | 58846 |
|
915 |
+
| fra-zul | tico19-test | 0.40588 | 6.0 | 2100 | 44098 |
|
916 |
+
| por-lin | tico19-test | 0.41729 | 12.5 | 2100 | 61116 |
|
917 |
+
| por-swa | tico19-test | 0.49303 | 19.6 | 2100 | 58846 |
|
918 |
+
| spa-lin | tico19-test | 0.41645 | 12.1 | 2100 | 61116 |
|
919 |
+
| spa-swa | tico19-test | 0.48614 | 18.8 | 2100 | 58846 |
|
920 |
+
| spa-zul | tico19-test | 0.40058 | 5.3 | 2100 | 44098 |
|
921 |
+
|
922 |
+
## Citation Information
|
923 |
+
|
924 |
+
* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
|
925 |
+
|
926 |
+
```bibtex
|
927 |
+
@article{tiedemann2023democratizing,
|
928 |
+
title={Democratizing neural machine translation with {OPUS-MT}},
|
929 |
+
author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
|
930 |
+
journal={Language Resources and Evaluation},
|
931 |
+
number={58},
|
932 |
+
pages={713--755},
|
933 |
+
year={2023},
|
934 |
+
publisher={Springer Nature},
|
935 |
+
issn={1574-0218},
|
936 |
+
doi={10.1007/s10579-023-09704-w}
|
937 |
+
}
|
938 |
+
|
939 |
+
@inproceedings{tiedemann-thottingal-2020-opus,
|
940 |
+
title = "{OPUS}-{MT} {--} Building open translation services for the World",
|
941 |
+
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
|
942 |
+
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
|
943 |
+
month = nov,
|
944 |
+
year = "2020",
|
945 |
+
address = "Lisboa, Portugal",
|
946 |
+
publisher = "European Association for Machine Translation",
|
947 |
+
url = "https://aclanthology.org/2020.eamt-1.61",
|
948 |
+
pages = "479--480",
|
949 |
+
}
|
950 |
+
|
951 |
+
@inproceedings{tiedemann-2020-tatoeba,
|
952 |
+
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
|
953 |
+
author = {Tiedemann, J{\"o}rg},
|
954 |
+
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
|
955 |
+
month = nov,
|
956 |
+
year = "2020",
|
957 |
+
address = "Online",
|
958 |
+
publisher = "Association for Computational Linguistics",
|
959 |
+
url = "https://aclanthology.org/2020.wmt-1.139",
|
960 |
+
pages = "1174--1182",
|
961 |
+
}
|
962 |
+
```
|
963 |
+
|
964 |
+
## Acknowledgements
|
965 |
+
|
966 |
+
The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/).
|
967 |
+
|
968 |
+
## Model conversion info
|
969 |
+
|
970 |
+
* transformers version: 4.45.1
|
971 |
+
* OPUS-MT git hash: 0882077
|
972 |
+
* port time: Tue Oct 8 01:00:29 EEST 2024
|
973 |
+
* port machine: LM0-400-22516.local
|
benchmark_results.txt
ADDED
@@ -0,0 +1,216 @@
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
multi-multi tatoeba-test-v2020-07-28-v2023-09-26 0.43414 11.6 6293 25973
|
2 |
+
deu-kam flores101-devtest 0.20549 1.8 1012 23656
|
3 |
+
deu-sna flores101-devtest 0.35655 4.4 1012 20105
|
4 |
+
deu-umb flores101-devtest 0.24496 1.0 1012 20203
|
5 |
+
eng-lin flores101-devtest 0.43748 13.2 1012 26769
|
6 |
+
eng-lug flores101-devtest 0.32632 5.3 1012 20070
|
7 |
+
eng-nso flores101-devtest 0.47122 19.4 1012 31298
|
8 |
+
eng-sna flores101-devtest 0.44294 9.4 1012 20105
|
9 |
+
eng-xho flores101-devtest 0.50110 11.6 1012 18227
|
10 |
+
fra-lug flores101-devtest 0.30351 3.5 1012 20070
|
11 |
+
fra-sna flores101-devtest 0.40676 6.2 1012 20105
|
12 |
+
por-lin flores101-devtest 0.41675 10.7 1012 26769
|
13 |
+
por-nso flores101-devtest 0.30661 5.6 1012 31298
|
14 |
+
por-xho flores101-devtest 0.39822 5.3 1012 18227
|
15 |
+
spa-lin flores101-devtest 0.40631 8.8 1012 26769
|
16 |
+
spa-lug flores101-devtest 0.30296 3.2 1012 20070
|
17 |
+
spa-swh flores101-devtest 0.22466 1.1 1012 23959
|
18 |
+
spa-xho flores101-devtest 0.37483 3.5 1012 18227
|
19 |
+
deu-bem flores200-devtest 0.32696 4.4 1012 25648
|
20 |
+
deu-cjk flores200-devtest 0.20525 1.5 1012 22991
|
21 |
+
deu-kam flores200-devtest 0.21503 2.1 1012 23656
|
22 |
+
deu-kik flores200-devtest 0.26259 3.6 1012 26527
|
23 |
+
deu-kin flores200-devtest 0.32115 5.0 1012 22774
|
24 |
+
deu-kmb flores200-devtest 0.23421 1.7 1012 25787
|
25 |
+
deu-kon flores200-devtest 0.37890 7.9 1012 30121
|
26 |
+
deu-lin flores200-devtest 0.40763 9.9 1012 26769
|
27 |
+
deu-lua flores200-devtest 0.19764 1.8 1012 25734
|
28 |
+
deu-lug flores200-devtest 0.31632 3.7 1012 20070
|
29 |
+
deu-nso flores200-devtest 0.35024 7.4 1012 31298
|
30 |
+
deu-nya flores200-devtest 0.34096 4.5 1012 22180
|
31 |
+
deu-run flores200-devtest 0.35378 5.6 1012 22986
|
32 |
+
deu-sna flores200-devtest 0.37424 5.0 1012 20105
|
33 |
+
deu-sot flores200-devtest 0.32589 6.5 1012 31600
|
34 |
+
deu-ssw flores200-devtest 0.37053 3.6 1012 18508
|
35 |
+
deu-swh flores200-devtest 0.21885 1.2 1012 23959
|
36 |
+
deu-tsn flores200-devtest 0.39738 11.9 1012 33831
|
37 |
+
deu-tso flores200-devtest 0.34314 7.2 1012 29548
|
38 |
+
deu-tum flores200-devtest 0.11324 0.6 1012 27273
|
39 |
+
deu-umb flores200-devtest 0.25744 1.2 1012 20650
|
40 |
+
deu-xho flores200-devtest 0.40586 4.8 1012 18227
|
41 |
+
deu-zul flores200-devtest 0.37724 4.1 1012 18556
|
42 |
+
eng-bem flores200-devtest 0.36381 7.1 1012 25648
|
43 |
+
eng-cjk flores200-devtest 0.22543 1.9 1012 22991
|
44 |
+
eng-kam flores200-devtest 0.21102 2.4 1012 23656
|
45 |
+
eng-kik flores200-devtest 0.25486 4.3 1012 26527
|
46 |
+
eng-kin flores200-devtest 0.41492 11.1 1012 22774
|
47 |
+
eng-kmb flores200-devtest 0.22656 1.7 1012 25787
|
48 |
+
eng-kon flores200-devtest 0.37759 9.8 1012 30121
|
49 |
+
eng-lin flores200-devtest 0.45568 14.7 1012 26769
|
50 |
+
eng-lua flores200-devtest 0.18222 1.9 1012 25734
|
51 |
+
eng-lug flores200-devtest 0.34208 5.9 1012 20070
|
52 |
+
eng-nso flores200-devtest 0.48626 20.8 1012 31298
|
53 |
+
eng-nya flores200-devtest 0.45067 10.7 1012 22180
|
54 |
+
eng-run flores200-devtest 0.38821 8.5 1012 22986
|
55 |
+
eng-sna flores200-devtest 0.45629 10.1 1012 20105
|
56 |
+
eng-sot flores200-devtest 0.45331 15.4 1012 31600
|
57 |
+
eng-ssw flores200-devtest 0.43635 7.1 1012 18508
|
58 |
+
eng-swh flores200-devtest 0.24504 2.1 1012 23959
|
59 |
+
eng-tsn flores200-devtest 0.45233 17.7 1012 33831
|
60 |
+
eng-tso flores200-devtest 0.48529 18.3 1012 29548
|
61 |
+
eng-tum flores200-devtest 0.11988 0.8 1012 27273
|
62 |
+
eng-umb flores200-devtest 0.25193 1.2 1012 20650
|
63 |
+
eng-xho flores200-devtest 0.51974 13.1 1012 18227
|
64 |
+
eng-zul flores200-devtest 0.53320 14.0 1012 18556
|
65 |
+
fra-bem flores200-devtest 0.33206 4.8 1012 25648
|
66 |
+
fra-cjk flores200-devtest 0.21189 1.4 1012 22991
|
67 |
+
fra-kam flores200-devtest 0.21483 1.8 1012 23656
|
68 |
+
fra-kik flores200-devtest 0.25167 3.4 1012 26527
|
69 |
+
fra-kin flores200-devtest 0.33774 6.0 1012 22774
|
70 |
+
fra-kmb flores200-devtest 0.22736 1.3 1012 25787
|
71 |
+
fra-kon flores200-devtest 0.38056 9.2 1012 30121
|
72 |
+
fra-lin flores200-devtest 0.44410 13.0 1012 26769
|
73 |
+
fra-lua flores200-devtest 0.18591 1.6 1012 25734
|
74 |
+
fra-lug flores200-devtest 0.32001 3.9 1012 20070
|
75 |
+
fra-nso flores200-devtest 0.36382 8.7 1012 31298
|
76 |
+
fra-nya flores200-devtest 0.36524 6.0 1012 22180
|
77 |
+
fra-run flores200-devtest 0.37277 6.9 1012 22986
|
78 |
+
fra-sna flores200-devtest 0.42053 6.9 1012 20105
|
79 |
+
fra-sot flores200-devtest 0.35218 7.9 1012 31600
|
80 |
+
fra-ssw flores200-devtest 0.38791 4.2 1012 18508
|
81 |
+
fra-swh flores200-devtest 0.21702 1.1 1012 23959
|
82 |
+
fra-tsn flores200-devtest 0.39823 12.0 1012 33831
|
83 |
+
fra-tso flores200-devtest 0.36584 8.8 1012 29548
|
84 |
+
fra-tum flores200-devtest 0.11632 0.6 1012 27273
|
85 |
+
fra-umb flores200-devtest 0.24707 1.1 1012 20650
|
86 |
+
fra-xho flores200-devtest 0.44537 7.1 1012 18227
|
87 |
+
fra-zul flores200-devtest 0.41291 5.7 1012 18556
|
88 |
+
por-bem flores200-devtest 0.33540 4.7 1012 25648
|
89 |
+
por-cjk flores200-devtest 0.21305 1.6 1012 22991
|
90 |
+
por-kam flores200-devtest 0.21323 2.0 1012 23656
|
91 |
+
por-kik flores200-devtest 0.26363 3.7 1012 26527
|
92 |
+
por-kin flores200-devtest 0.28859 4.4 1012 22774
|
93 |
+
por-kmb flores200-devtest 0.24080 1.7 1012 25787
|
94 |
+
por-kon flores200-devtest 0.39008 9.4 1012 30121
|
95 |
+
por-lin flores200-devtest 0.42944 11.7 1012 26769
|
96 |
+
por-lua flores200-devtest 0.19835 2.0 1012 25734
|
97 |
+
por-lug flores200-devtest 0.32581 4.3 1012 20070
|
98 |
+
por-nso flores200-devtest 0.31387 6.5 1012 31298
|
99 |
+
por-nya flores200-devtest 0.30964 4.2 1012 22180
|
100 |
+
por-run flores200-devtest 0.36279 6.1 1012 22986
|
101 |
+
por-sna flores200-devtest 0.38455 5.5 1012 20105
|
102 |
+
por-sot flores200-devtest 0.29749 5.3 1012 31600
|
103 |
+
por-ssw flores200-devtest 0.37903 3.9 1012 18508
|
104 |
+
por-swh flores200-devtest 0.20310 0.8 1012 23959
|
105 |
+
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config.json
ADDED
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ADDED
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vocab.json
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