Initial commit
Browse files- .gitattributes +1 -0
- README.md +2354 -0
- benchmark_results.txt +294 -0
- benchmark_translations.zip +3 -0
- config.json +45 -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
@@ -29,3 +29,4 @@ 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 +1,2354 @@
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|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- ast
|
4 |
+
- ca
|
5 |
+
- cbk
|
6 |
+
- es
|
7 |
+
- fr
|
8 |
+
- fro
|
9 |
+
- gcf
|
10 |
+
- gl
|
11 |
+
- ht
|
12 |
+
- it
|
13 |
+
- itc
|
14 |
+
- la
|
15 |
+
- la_Latn
|
16 |
+
- lad
|
17 |
+
- lij
|
18 |
+
- lld
|
19 |
+
- oc
|
20 |
+
- pms
|
21 |
+
- pt
|
22 |
+
- ro
|
23 |
+
- xx_Latn
|
24 |
+
|
25 |
+
tags:
|
26 |
+
- translation
|
27 |
+
- opus-mt-tc
|
28 |
+
|
29 |
+
license: cc-by-4.0
|
30 |
+
model-index:
|
31 |
+
- name: opus-mt-tc-big-itc-itc
|
32 |
+
results:
|
33 |
+
- task:
|
34 |
+
name: Translation ast-cat
|
35 |
+
type: translation
|
36 |
+
args: ast-cat
|
37 |
+
dataset:
|
38 |
+
name: flores101-devtest
|
39 |
+
type: flores_101
|
40 |
+
args: ast cat devtest
|
41 |
+
metrics:
|
42 |
+
- name: BLEU
|
43 |
+
type: bleu
|
44 |
+
value: 31.8
|
45 |
+
- name: chr-F
|
46 |
+
type: chrf
|
47 |
+
value: 0.57870
|
48 |
+
- task:
|
49 |
+
name: Translation ast-fra
|
50 |
+
type: translation
|
51 |
+
args: ast-fra
|
52 |
+
dataset:
|
53 |
+
name: flores101-devtest
|
54 |
+
type: flores_101
|
55 |
+
args: ast fra devtest
|
56 |
+
metrics:
|
57 |
+
- name: BLEU
|
58 |
+
type: bleu
|
59 |
+
value: 31.1
|
60 |
+
- name: chr-F
|
61 |
+
type: chrf
|
62 |
+
value: 0.56761
|
63 |
+
- task:
|
64 |
+
name: Translation ast-glg
|
65 |
+
type: translation
|
66 |
+
args: ast-glg
|
67 |
+
dataset:
|
68 |
+
name: flores101-devtest
|
69 |
+
type: flores_101
|
70 |
+
args: ast glg devtest
|
71 |
+
metrics:
|
72 |
+
- name: BLEU
|
73 |
+
type: bleu
|
74 |
+
value: 27.9
|
75 |
+
- name: chr-F
|
76 |
+
type: chrf
|
77 |
+
value: 0.55161
|
78 |
+
- task:
|
79 |
+
name: Translation ast-ita
|
80 |
+
type: translation
|
81 |
+
args: ast-ita
|
82 |
+
dataset:
|
83 |
+
name: flores101-devtest
|
84 |
+
type: flores_101
|
85 |
+
args: ast ita devtest
|
86 |
+
metrics:
|
87 |
+
- name: BLEU
|
88 |
+
type: bleu
|
89 |
+
value: 22.1
|
90 |
+
- name: chr-F
|
91 |
+
type: chrf
|
92 |
+
value: 0.51764
|
93 |
+
- task:
|
94 |
+
name: Translation ast-oci
|
95 |
+
type: translation
|
96 |
+
args: ast-oci
|
97 |
+
dataset:
|
98 |
+
name: flores101-devtest
|
99 |
+
type: flores_101
|
100 |
+
args: ast oci devtest
|
101 |
+
metrics:
|
102 |
+
- name: BLEU
|
103 |
+
type: bleu
|
104 |
+
value: 20.6
|
105 |
+
- name: chr-F
|
106 |
+
type: chrf
|
107 |
+
value: 0.49545
|
108 |
+
- task:
|
109 |
+
name: Translation ast-por
|
110 |
+
type: translation
|
111 |
+
args: ast-por
|
112 |
+
dataset:
|
113 |
+
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value: 0.52783
|
1068 |
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- task:
|
1069 |
+
name: Translation spa-oci
|
1070 |
+
type: translation
|
1071 |
+
args: spa-oci
|
1072 |
+
dataset:
|
1073 |
+
name: flores101-devtest
|
1074 |
+
type: flores_101
|
1075 |
+
args: spa oci devtest
|
1076 |
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metrics:
|
1077 |
+
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|
1078 |
+
type: bleu
|
1079 |
+
value: 16.3
|
1080 |
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|
1081 |
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type: chrf
|
1082 |
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value: 0.48064
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1083 |
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|
1084 |
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name: Translation spa-por
|
1085 |
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type: translation
|
1086 |
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args: spa-por
|
1087 |
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dataset:
|
1088 |
+
name: flores101-devtest
|
1089 |
+
type: flores_101
|
1090 |
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args: spa por devtest
|
1091 |
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metrics:
|
1092 |
+
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|
1093 |
+
type: bleu
|
1094 |
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value: 25.8
|
1095 |
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1096 |
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type: chrf
|
1097 |
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value: 0.55736
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1098 |
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|
1099 |
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name: Translation spa-ron
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1100 |
+
type: translation
|
1101 |
+
args: spa-ron
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1102 |
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dataset:
|
1103 |
+
name: flores101-devtest
|
1104 |
+
type: flores_101
|
1105 |
+
args: spa ron devtest
|
1106 |
+
metrics:
|
1107 |
+
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|
1108 |
+
type: bleu
|
1109 |
+
value: 21.4
|
1110 |
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1111 |
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type: chrf
|
1112 |
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value: 0.51623
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1113 |
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|
1114 |
+
name: Translation fra-spa
|
1115 |
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type: translation
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1116 |
+
args: fra-spa
|
1117 |
+
dataset:
|
1118 |
+
name: news-test2008
|
1119 |
+
type: news-test2008
|
1120 |
+
args: fra-spa
|
1121 |
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metrics:
|
1122 |
+
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1123 |
+
type: bleu
|
1124 |
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value: 33.9
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1125 |
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1126 |
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type: chrf
|
1127 |
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value: 0.58939
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1128 |
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- task:
|
1129 |
+
name: Translation spa-fra
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1130 |
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type: translation
|
1131 |
+
args: spa-fra
|
1132 |
+
dataset:
|
1133 |
+
name: news-test2008
|
1134 |
+
type: news-test2008
|
1135 |
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args: spa-fra
|
1136 |
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metrics:
|
1137 |
+
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1138 |
+
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|
1139 |
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value: 32.4
|
1140 |
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1141 |
+
type: chrf
|
1142 |
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value: 0.58695
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1143 |
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- task:
|
1144 |
+
name: Translation cat-fra
|
1145 |
+
type: translation
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1146 |
+
args: cat-fra
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1147 |
+
dataset:
|
1148 |
+
name: tatoeba-test-v2021-08-07
|
1149 |
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type: tatoeba_mt
|
1150 |
+
args: cat-fra
|
1151 |
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metrics:
|
1152 |
+
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1153 |
+
type: bleu
|
1154 |
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value: 54.6
|
1155 |
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1156 |
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type: chrf
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1157 |
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value: 0.71201
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1158 |
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- task:
|
1159 |
+
name: Translation cat-ita
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1160 |
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type: translation
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1161 |
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args: cat-ita
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1162 |
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dataset:
|
1163 |
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name: tatoeba-test-v2021-08-07
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1164 |
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type: tatoeba_mt
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1165 |
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args: cat-ita
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1166 |
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metrics:
|
1167 |
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1168 |
+
type: bleu
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1169 |
+
value: 58.4
|
1170 |
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1171 |
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type: chrf
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1172 |
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value: 0.74198
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1173 |
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- task:
|
1174 |
+
name: Translation cat-por
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1175 |
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type: translation
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1176 |
+
args: cat-por
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1177 |
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dataset:
|
1178 |
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name: tatoeba-test-v2021-08-07
|
1179 |
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type: tatoeba_mt
|
1180 |
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args: cat-por
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1181 |
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metrics:
|
1182 |
+
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1183 |
+
type: bleu
|
1184 |
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value: 57.4
|
1185 |
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1186 |
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type: chrf
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1187 |
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value: 0.74930
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1188 |
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- task:
|
1189 |
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name: Translation cat-spa
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1190 |
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type: translation
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1191 |
+
args: cat-spa
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1192 |
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dataset:
|
1193 |
+
name: tatoeba-test-v2021-08-07
|
1194 |
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type: tatoeba_mt
|
1195 |
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args: cat-spa
|
1196 |
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metrics:
|
1197 |
+
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1198 |
+
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1199 |
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value: 78.1
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1200 |
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1201 |
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type: chrf
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1202 |
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value: 0.87844
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1203 |
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- task:
|
1204 |
+
name: Translation fra-cat
|
1205 |
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type: translation
|
1206 |
+
args: fra-cat
|
1207 |
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dataset:
|
1208 |
+
name: tatoeba-test-v2021-08-07
|
1209 |
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type: tatoeba_mt
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1210 |
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args: fra-cat
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1211 |
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metrics:
|
1212 |
+
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1213 |
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|
1214 |
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|
1215 |
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1216 |
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type: chrf
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1217 |
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value: 0.66525
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1218 |
+
- task:
|
1219 |
+
name: Translation fra-ita
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1220 |
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1221 |
+
args: fra-ita
|
1222 |
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dataset:
|
1223 |
+
name: tatoeba-test-v2021-08-07
|
1224 |
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type: tatoeba_mt
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1225 |
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args: fra-ita
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1226 |
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metrics:
|
1227 |
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1228 |
+
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1229 |
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value: 53.8
|
1230 |
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1231 |
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type: chrf
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1232 |
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value: 0.72742
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1233 |
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- task:
|
1234 |
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name: Translation fra-por
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1235 |
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1236 |
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args: fra-por
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1237 |
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dataset:
|
1238 |
+
name: tatoeba-test-v2021-08-07
|
1239 |
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1240 |
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1241 |
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metrics:
|
1242 |
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1243 |
+
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1244 |
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value: 48.6
|
1245 |
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1246 |
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1247 |
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value: 0.68413
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1248 |
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- task:
|
1249 |
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name: Translation fra-ron
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1250 |
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1251 |
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args: fra-ron
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1252 |
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dataset:
|
1253 |
+
name: tatoeba-test-v2021-08-07
|
1254 |
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type: tatoeba_mt
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1255 |
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args: fra-ron
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1256 |
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metrics:
|
1257 |
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1258 |
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1259 |
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|
1260 |
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1261 |
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1262 |
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1263 |
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- task:
|
1264 |
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name: Translation fra-spa
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1265 |
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1266 |
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args: fra-spa
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1267 |
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dataset:
|
1268 |
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name: tatoeba-test-v2021-08-07
|
1269 |
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type: tatoeba_mt
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1270 |
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1271 |
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metrics:
|
1272 |
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1273 |
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1274 |
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|
1275 |
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1276 |
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1277 |
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value: 0.72080
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1278 |
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- task:
|
1279 |
+
name: Translation glg-por
|
1280 |
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type: translation
|
1281 |
+
args: glg-por
|
1282 |
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dataset:
|
1283 |
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name: tatoeba-test-v2021-08-07
|
1284 |
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type: tatoeba_mt
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1285 |
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args: glg-por
|
1286 |
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metrics:
|
1287 |
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1288 |
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1289 |
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value: 61.1
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1290 |
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1291 |
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type: chrf
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1292 |
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value: 0.76720
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1293 |
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- task:
|
1294 |
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name: Translation glg-spa
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1295 |
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type: translation
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1296 |
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args: glg-spa
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1297 |
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dataset:
|
1298 |
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name: tatoeba-test-v2021-08-07
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1299 |
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type: tatoeba_mt
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1300 |
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args: glg-spa
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1301 |
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metrics:
|
1302 |
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1303 |
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1304 |
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value: 71.7
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1305 |
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1306 |
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type: chrf
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1307 |
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value: 0.82362
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1308 |
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- task:
|
1309 |
+
name: Translation ita-cat
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1310 |
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type: translation
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1311 |
+
args: ita-cat
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1312 |
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dataset:
|
1313 |
+
name: tatoeba-test-v2021-08-07
|
1314 |
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type: tatoeba_mt
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1315 |
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args: ita-cat
|
1316 |
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metrics:
|
1317 |
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1318 |
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type: bleu
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1319 |
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value: 56.4
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1320 |
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1321 |
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type: chrf
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1322 |
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value: 0.72529
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1323 |
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- task:
|
1324 |
+
name: Translation ita-fra
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1325 |
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type: translation
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1326 |
+
args: ita-fra
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1327 |
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dataset:
|
1328 |
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name: tatoeba-test-v2021-08-07
|
1329 |
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1330 |
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args: ita-fra
|
1331 |
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metrics:
|
1332 |
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1333 |
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1334 |
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value: 65.2
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1335 |
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1336 |
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type: chrf
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1337 |
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1338 |
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- task:
|
1339 |
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name: Translation ita-por
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1340 |
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1341 |
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args: ita-por
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1342 |
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dataset:
|
1343 |
+
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|
1344 |
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1345 |
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args: ita-por
|
1346 |
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metrics:
|
1347 |
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1348 |
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1349 |
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1350 |
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1351 |
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type: chrf
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1352 |
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1353 |
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- task:
|
1354 |
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name: Translation ita-ron
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1355 |
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1356 |
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args: ita-ron
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1357 |
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dataset:
|
1358 |
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|
1359 |
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type: tatoeba_mt
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1360 |
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args: ita-ron
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1361 |
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metrics:
|
1362 |
+
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1363 |
+
type: bleu
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1364 |
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value: 51.1
|
1365 |
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1366 |
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type: chrf
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1367 |
+
value: 0.70814
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1368 |
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- task:
|
1369 |
+
name: Translation ita-spa
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1370 |
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1371 |
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args: ita-spa
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1372 |
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dataset:
|
1373 |
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name: tatoeba-test-v2021-08-07
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1374 |
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1375 |
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args: ita-spa
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1376 |
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metrics:
|
1377 |
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1378 |
+
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1379 |
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1380 |
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1381 |
+
type: chrf
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1382 |
+
value: 0.77455
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1383 |
+
- task:
|
1384 |
+
name: Translation lad-spa
|
1385 |
+
type: translation
|
1386 |
+
args: lad-spa
|
1387 |
+
dataset:
|
1388 |
+
name: tatoeba-test-v2021-08-07
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1389 |
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type: tatoeba_mt
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1390 |
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args: lad-spa
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1391 |
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metrics:
|
1392 |
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1393 |
+
type: bleu
|
1394 |
+
value: 34.7
|
1395 |
+
- name: chr-F
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1396 |
+
type: chrf
|
1397 |
+
value: 0.52243
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1398 |
+
- task:
|
1399 |
+
name: Translation lad_Latn-spa
|
1400 |
+
type: translation
|
1401 |
+
args: lad_Latn-spa
|
1402 |
+
dataset:
|
1403 |
+
name: tatoeba-test-v2021-08-07
|
1404 |
+
type: tatoeba_mt
|
1405 |
+
args: lad_Latn-spa
|
1406 |
+
metrics:
|
1407 |
+
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1408 |
+
type: bleu
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1409 |
+
value: 42.6
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1410 |
+
- name: chr-F
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1411 |
+
type: chrf
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1412 |
+
value: 0.59363
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1413 |
+
- task:
|
1414 |
+
name: Translation oci-fra
|
1415 |
+
type: translation
|
1416 |
+
args: oci-fra
|
1417 |
+
dataset:
|
1418 |
+
name: tatoeba-test-v2021-08-07
|
1419 |
+
type: tatoeba_mt
|
1420 |
+
args: oci-fra
|
1421 |
+
metrics:
|
1422 |
+
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|
1423 |
+
type: bleu
|
1424 |
+
value: 29.6
|
1425 |
+
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1426 |
+
type: chrf
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1427 |
+
value: 0.49660
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1428 |
+
- task:
|
1429 |
+
name: Translation pms-ita
|
1430 |
+
type: translation
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1431 |
+
args: pms-ita
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1432 |
+
dataset:
|
1433 |
+
name: tatoeba-test-v2021-08-07
|
1434 |
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type: tatoeba_mt
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1435 |
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args: pms-ita
|
1436 |
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metrics:
|
1437 |
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1438 |
+
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1439 |
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value: 20.0
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1440 |
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1441 |
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type: chrf
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1442 |
+
value: 0.40221
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1443 |
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- task:
|
1444 |
+
name: Translation por-cat
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1445 |
+
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1446 |
+
args: por-cat
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1447 |
+
dataset:
|
1448 |
+
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|
1449 |
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type: tatoeba_mt
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1450 |
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args: por-cat
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1451 |
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metrics:
|
1452 |
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1453 |
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1454 |
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1455 |
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1456 |
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1457 |
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1458 |
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- task:
|
1459 |
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name: Translation por-fra
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1460 |
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1461 |
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args: por-fra
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1462 |
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dataset:
|
1463 |
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1464 |
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1465 |
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1466 |
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metrics:
|
1467 |
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1468 |
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1469 |
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1470 |
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1471 |
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1472 |
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1473 |
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|
1474 |
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name: Translation por-glg
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1475 |
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1476 |
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args: por-glg
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1477 |
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dataset:
|
1478 |
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1479 |
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1480 |
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1481 |
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metrics:
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1482 |
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1483 |
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1484 |
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1485 |
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1486 |
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1487 |
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1488 |
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|
1489 |
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1490 |
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1491 |
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args: por-ita
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1492 |
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dataset:
|
1493 |
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1494 |
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1495 |
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1496 |
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metrics:
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1497 |
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1498 |
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1499 |
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1500 |
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1501 |
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1502 |
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1503 |
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|
1504 |
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name: Translation por-ron
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1505 |
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1506 |
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1507 |
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dataset:
|
1508 |
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1509 |
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1510 |
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1511 |
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metrics:
|
1512 |
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1513 |
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1514 |
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value: 46.6
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1515 |
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1516 |
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type: chrf
|
1517 |
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value: 0.67838
|
1518 |
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- task:
|
1519 |
+
name: Translation por-spa
|
1520 |
+
type: translation
|
1521 |
+
args: por-spa
|
1522 |
+
dataset:
|
1523 |
+
name: tatoeba-test-v2021-08-07
|
1524 |
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type: tatoeba_mt
|
1525 |
+
args: por-spa
|
1526 |
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metrics:
|
1527 |
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|
1528 |
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type: bleu
|
1529 |
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value: 64.8
|
1530 |
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- name: chr-F
|
1531 |
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type: chrf
|
1532 |
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value: 0.79336
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1533 |
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- task:
|
1534 |
+
name: Translation ron-fra
|
1535 |
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type: translation
|
1536 |
+
args: ron-fra
|
1537 |
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dataset:
|
1538 |
+
name: tatoeba-test-v2021-08-07
|
1539 |
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type: tatoeba_mt
|
1540 |
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args: ron-fra
|
1541 |
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metrics:
|
1542 |
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|
1543 |
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|
1544 |
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|
1545 |
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- name: chr-F
|
1546 |
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type: chrf
|
1547 |
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value: 0.70307
|
1548 |
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- task:
|
1549 |
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name: Translation ron-ita
|
1550 |
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type: translation
|
1551 |
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args: ron-ita
|
1552 |
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dataset:
|
1553 |
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name: tatoeba-test-v2021-08-07
|
1554 |
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type: tatoeba_mt
|
1555 |
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args: ron-ita
|
1556 |
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metrics:
|
1557 |
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|
1558 |
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|
1559 |
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|
1560 |
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|
1561 |
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type: chrf
|
1562 |
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value: 0.73862
|
1563 |
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- task:
|
1564 |
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name: Translation ron-por
|
1565 |
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|
1566 |
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args: ron-por
|
1567 |
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dataset:
|
1568 |
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name: tatoeba-test-v2021-08-07
|
1569 |
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|
1570 |
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args: ron-por
|
1571 |
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metrics:
|
1572 |
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1573 |
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|
1574 |
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|
1575 |
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|
1576 |
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type: chrf
|
1577 |
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value: 0.70889
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1578 |
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|
1579 |
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name: Translation ron-spa
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1580 |
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1581 |
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args: ron-spa
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1582 |
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dataset:
|
1583 |
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name: tatoeba-test-v2021-08-07
|
1584 |
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|
1585 |
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|
1586 |
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metrics:
|
1587 |
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|
1588 |
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|
1589 |
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|
1590 |
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|
1591 |
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type: chrf
|
1592 |
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value: 0.73529
|
1593 |
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- task:
|
1594 |
+
name: Translation spa-cat
|
1595 |
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type: translation
|
1596 |
+
args: spa-cat
|
1597 |
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dataset:
|
1598 |
+
name: tatoeba-test-v2021-08-07
|
1599 |
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type: tatoeba_mt
|
1600 |
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args: spa-cat
|
1601 |
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metrics:
|
1602 |
+
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|
1603 |
+
type: bleu
|
1604 |
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value: 67.9
|
1605 |
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- name: chr-F
|
1606 |
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type: chrf
|
1607 |
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value: 0.82758
|
1608 |
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- task:
|
1609 |
+
name: Translation spa-fra
|
1610 |
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type: translation
|
1611 |
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args: spa-fra
|
1612 |
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dataset:
|
1613 |
+
name: tatoeba-test-v2021-08-07
|
1614 |
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type: tatoeba_mt
|
1615 |
+
args: spa-fra
|
1616 |
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metrics:
|
1617 |
+
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|
1618 |
+
type: bleu
|
1619 |
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value: 57.3
|
1620 |
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- name: chr-F
|
1621 |
+
type: chrf
|
1622 |
+
value: 0.73113
|
1623 |
+
- task:
|
1624 |
+
name: Translation spa-glg
|
1625 |
+
type: translation
|
1626 |
+
args: spa-glg
|
1627 |
+
dataset:
|
1628 |
+
name: tatoeba-test-v2021-08-07
|
1629 |
+
type: tatoeba_mt
|
1630 |
+
args: spa-glg
|
1631 |
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metrics:
|
1632 |
+
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|
1633 |
+
type: bleu
|
1634 |
+
value: 63.0
|
1635 |
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- name: chr-F
|
1636 |
+
type: chrf
|
1637 |
+
value: 0.77332
|
1638 |
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- task:
|
1639 |
+
name: Translation spa-ita
|
1640 |
+
type: translation
|
1641 |
+
args: spa-ita
|
1642 |
+
dataset:
|
1643 |
+
name: tatoeba-test-v2021-08-07
|
1644 |
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type: tatoeba_mt
|
1645 |
+
args: spa-ita
|
1646 |
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metrics:
|
1647 |
+
- name: BLEU
|
1648 |
+
type: bleu
|
1649 |
+
value: 60.3
|
1650 |
+
- name: chr-F
|
1651 |
+
type: chrf
|
1652 |
+
value: 0.77046
|
1653 |
+
- task:
|
1654 |
+
name: Translation spa-por
|
1655 |
+
type: translation
|
1656 |
+
args: spa-por
|
1657 |
+
dataset:
|
1658 |
+
name: tatoeba-test-v2021-08-07
|
1659 |
+
type: tatoeba_mt
|
1660 |
+
args: spa-por
|
1661 |
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metrics:
|
1662 |
+
- name: BLEU
|
1663 |
+
type: bleu
|
1664 |
+
value: 59.1
|
1665 |
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- name: chr-F
|
1666 |
+
type: chrf
|
1667 |
+
value: 0.75854
|
1668 |
+
- task:
|
1669 |
+
name: Translation spa-ron
|
1670 |
+
type: translation
|
1671 |
+
args: spa-ron
|
1672 |
+
dataset:
|
1673 |
+
name: tatoeba-test-v2021-08-07
|
1674 |
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type: tatoeba_mt
|
1675 |
+
args: spa-ron
|
1676 |
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metrics:
|
1677 |
+
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|
1678 |
+
type: bleu
|
1679 |
+
value: 45.5
|
1680 |
+
- name: chr-F
|
1681 |
+
type: chrf
|
1682 |
+
value: 0.66679
|
1683 |
+
- task:
|
1684 |
+
name: Translation fra-ita
|
1685 |
+
type: translation
|
1686 |
+
args: fra-ita
|
1687 |
+
dataset:
|
1688 |
+
name: newstest2009
|
1689 |
+
type: wmt-2009-news
|
1690 |
+
args: fra-ita
|
1691 |
+
metrics:
|
1692 |
+
- name: BLEU
|
1693 |
+
type: bleu
|
1694 |
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value: 31.2
|
1695 |
+
- name: chr-F
|
1696 |
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type: chrf
|
1697 |
+
value: 0.59764
|
1698 |
+
- task:
|
1699 |
+
name: Translation fra-spa
|
1700 |
+
type: translation
|
1701 |
+
args: fra-spa
|
1702 |
+
dataset:
|
1703 |
+
name: newstest2009
|
1704 |
+
type: wmt-2009-news
|
1705 |
+
args: fra-spa
|
1706 |
+
metrics:
|
1707 |
+
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|
1708 |
+
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|
1709 |
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value: 32.5
|
1710 |
+
- name: chr-F
|
1711 |
+
type: chrf
|
1712 |
+
value: 0.58829
|
1713 |
+
- task:
|
1714 |
+
name: Translation ita-fra
|
1715 |
+
type: translation
|
1716 |
+
args: ita-fra
|
1717 |
+
dataset:
|
1718 |
+
name: newstest2009
|
1719 |
+
type: wmt-2009-news
|
1720 |
+
args: ita-fra
|
1721 |
+
metrics:
|
1722 |
+
- name: BLEU
|
1723 |
+
type: bleu
|
1724 |
+
value: 31.6
|
1725 |
+
- name: chr-F
|
1726 |
+
type: chrf
|
1727 |
+
value: 0.59084
|
1728 |
+
- task:
|
1729 |
+
name: Translation ita-spa
|
1730 |
+
type: translation
|
1731 |
+
args: ita-spa
|
1732 |
+
dataset:
|
1733 |
+
name: newstest2009
|
1734 |
+
type: wmt-2009-news
|
1735 |
+
args: ita-spa
|
1736 |
+
metrics:
|
1737 |
+
- name: BLEU
|
1738 |
+
type: bleu
|
1739 |
+
value: 33.5
|
1740 |
+
- name: chr-F
|
1741 |
+
type: chrf
|
1742 |
+
value: 0.59669
|
1743 |
+
- task:
|
1744 |
+
name: Translation spa-fra
|
1745 |
+
type: translation
|
1746 |
+
args: spa-fra
|
1747 |
+
dataset:
|
1748 |
+
name: newstest2009
|
1749 |
+
type: wmt-2009-news
|
1750 |
+
args: spa-fra
|
1751 |
+
metrics:
|
1752 |
+
- name: BLEU
|
1753 |
+
type: bleu
|
1754 |
+
value: 32.3
|
1755 |
+
- name: chr-F
|
1756 |
+
type: chrf
|
1757 |
+
value: 0.59096
|
1758 |
+
- task:
|
1759 |
+
name: Translation spa-ita
|
1760 |
+
type: translation
|
1761 |
+
args: spa-ita
|
1762 |
+
dataset:
|
1763 |
+
name: newstest2009
|
1764 |
+
type: wmt-2009-news
|
1765 |
+
args: spa-ita
|
1766 |
+
metrics:
|
1767 |
+
- name: BLEU
|
1768 |
+
type: bleu
|
1769 |
+
value: 33.2
|
1770 |
+
- name: chr-F
|
1771 |
+
type: chrf
|
1772 |
+
value: 0.60783
|
1773 |
+
- task:
|
1774 |
+
name: Translation fra-spa
|
1775 |
+
type: translation
|
1776 |
+
args: fra-spa
|
1777 |
+
dataset:
|
1778 |
+
name: newstest2010
|
1779 |
+
type: wmt-2010-news
|
1780 |
+
args: fra-spa
|
1781 |
+
metrics:
|
1782 |
+
- name: BLEU
|
1783 |
+
type: bleu
|
1784 |
+
value: 37.8
|
1785 |
+
- name: chr-F
|
1786 |
+
type: chrf
|
1787 |
+
value: 0.62250
|
1788 |
+
- task:
|
1789 |
+
name: Translation spa-fra
|
1790 |
+
type: translation
|
1791 |
+
args: spa-fra
|
1792 |
+
dataset:
|
1793 |
+
name: newstest2010
|
1794 |
+
type: wmt-2010-news
|
1795 |
+
args: spa-fra
|
1796 |
+
metrics:
|
1797 |
+
- name: BLEU
|
1798 |
+
type: bleu
|
1799 |
+
value: 36.2
|
1800 |
+
- name: chr-F
|
1801 |
+
type: chrf
|
1802 |
+
value: 0.61953
|
1803 |
+
- task:
|
1804 |
+
name: Translation fra-spa
|
1805 |
+
type: translation
|
1806 |
+
args: fra-spa
|
1807 |
+
dataset:
|
1808 |
+
name: newstest2011
|
1809 |
+
type: wmt-2011-news
|
1810 |
+
args: fra-spa
|
1811 |
+
metrics:
|
1812 |
+
- name: BLEU
|
1813 |
+
type: bleu
|
1814 |
+
value: 39.8
|
1815 |
+
- name: chr-F
|
1816 |
+
type: chrf
|
1817 |
+
value: 0.62953
|
1818 |
+
- task:
|
1819 |
+
name: Translation spa-fra
|
1820 |
+
type: translation
|
1821 |
+
args: spa-fra
|
1822 |
+
dataset:
|
1823 |
+
name: newstest2011
|
1824 |
+
type: wmt-2011-news
|
1825 |
+
args: spa-fra
|
1826 |
+
metrics:
|
1827 |
+
- name: BLEU
|
1828 |
+
type: bleu
|
1829 |
+
value: 34.9
|
1830 |
+
- name: chr-F
|
1831 |
+
type: chrf
|
1832 |
+
value: 0.61130
|
1833 |
+
- task:
|
1834 |
+
name: Translation fra-spa
|
1835 |
+
type: translation
|
1836 |
+
args: fra-spa
|
1837 |
+
dataset:
|
1838 |
+
name: newstest2012
|
1839 |
+
type: wmt-2012-news
|
1840 |
+
args: fra-spa
|
1841 |
+
metrics:
|
1842 |
+
- name: BLEU
|
1843 |
+
type: bleu
|
1844 |
+
value: 39.0
|
1845 |
+
- name: chr-F
|
1846 |
+
type: chrf
|
1847 |
+
value: 0.62397
|
1848 |
+
- task:
|
1849 |
+
name: Translation spa-fra
|
1850 |
+
type: translation
|
1851 |
+
args: spa-fra
|
1852 |
+
dataset:
|
1853 |
+
name: newstest2012
|
1854 |
+
type: wmt-2012-news
|
1855 |
+
args: spa-fra
|
1856 |
+
metrics:
|
1857 |
+
- name: BLEU
|
1858 |
+
type: bleu
|
1859 |
+
value: 34.3
|
1860 |
+
- name: chr-F
|
1861 |
+
type: chrf
|
1862 |
+
value: 0.60927
|
1863 |
+
- task:
|
1864 |
+
name: Translation fra-spa
|
1865 |
+
type: translation
|
1866 |
+
args: fra-spa
|
1867 |
+
dataset:
|
1868 |
+
name: newstest2013
|
1869 |
+
type: wmt-2013-news
|
1870 |
+
args: fra-spa
|
1871 |
+
metrics:
|
1872 |
+
- name: BLEU
|
1873 |
+
type: bleu
|
1874 |
+
value: 34.9
|
1875 |
+
- name: chr-F
|
1876 |
+
type: chrf
|
1877 |
+
value: 0.59312
|
1878 |
+
- task:
|
1879 |
+
name: Translation spa-fra
|
1880 |
+
type: translation
|
1881 |
+
args: spa-fra
|
1882 |
+
dataset:
|
1883 |
+
name: newstest2013
|
1884 |
+
type: wmt-2013-news
|
1885 |
+
args: spa-fra
|
1886 |
+
metrics:
|
1887 |
+
- name: BLEU
|
1888 |
+
type: bleu
|
1889 |
+
value: 33.6
|
1890 |
+
- name: chr-F
|
1891 |
+
type: chrf
|
1892 |
+
value: 0.59468
|
1893 |
+
- task:
|
1894 |
+
name: Translation cat-ita
|
1895 |
+
type: translation
|
1896 |
+
args: cat-ita
|
1897 |
+
dataset:
|
1898 |
+
name: wmt21-ml-wp
|
1899 |
+
type: wmt21-ml-wp
|
1900 |
+
args: cat-ita
|
1901 |
+
metrics:
|
1902 |
+
- name: BLEU
|
1903 |
+
type: bleu
|
1904 |
+
value: 47.8
|
1905 |
+
- name: chr-F
|
1906 |
+
type: chrf
|
1907 |
+
value: 0.69968
|
1908 |
+
- task:
|
1909 |
+
name: Translation cat-oci
|
1910 |
+
type: translation
|
1911 |
+
args: cat-oci
|
1912 |
+
dataset:
|
1913 |
+
name: wmt21-ml-wp
|
1914 |
+
type: wmt21-ml-wp
|
1915 |
+
args: cat-oci
|
1916 |
+
metrics:
|
1917 |
+
- name: BLEU
|
1918 |
+
type: bleu
|
1919 |
+
value: 51.6
|
1920 |
+
- name: chr-F
|
1921 |
+
type: chrf
|
1922 |
+
value: 0.73808
|
1923 |
+
- task:
|
1924 |
+
name: Translation cat-ron
|
1925 |
+
type: translation
|
1926 |
+
args: cat-ron
|
1927 |
+
dataset:
|
1928 |
+
name: wmt21-ml-wp
|
1929 |
+
type: wmt21-ml-wp
|
1930 |
+
args: cat-ron
|
1931 |
+
metrics:
|
1932 |
+
- name: BLEU
|
1933 |
+
type: bleu
|
1934 |
+
value: 29.0
|
1935 |
+
- name: chr-F
|
1936 |
+
type: chrf
|
1937 |
+
value: 0.51178
|
1938 |
+
- task:
|
1939 |
+
name: Translation ita-cat
|
1940 |
+
type: translation
|
1941 |
+
args: ita-cat
|
1942 |
+
dataset:
|
1943 |
+
name: wmt21-ml-wp
|
1944 |
+
type: wmt21-ml-wp
|
1945 |
+
args: ita-cat
|
1946 |
+
metrics:
|
1947 |
+
- name: BLEU
|
1948 |
+
type: bleu
|
1949 |
+
value: 48.9
|
1950 |
+
- name: chr-F
|
1951 |
+
type: chrf
|
1952 |
+
value: 0.70538
|
1953 |
+
- task:
|
1954 |
+
name: Translation ita-oci
|
1955 |
+
type: translation
|
1956 |
+
args: ita-oci
|
1957 |
+
dataset:
|
1958 |
+
name: wmt21-ml-wp
|
1959 |
+
type: wmt21-ml-wp
|
1960 |
+
args: ita-oci
|
1961 |
+
metrics:
|
1962 |
+
- name: BLEU
|
1963 |
+
type: bleu
|
1964 |
+
value: 32.0
|
1965 |
+
- name: chr-F
|
1966 |
+
type: chrf
|
1967 |
+
value: 0.59025
|
1968 |
+
- task:
|
1969 |
+
name: Translation ita-ron
|
1970 |
+
type: translation
|
1971 |
+
args: ita-ron
|
1972 |
+
dataset:
|
1973 |
+
name: wmt21-ml-wp
|
1974 |
+
type: wmt21-ml-wp
|
1975 |
+
args: ita-ron
|
1976 |
+
metrics:
|
1977 |
+
- name: BLEU
|
1978 |
+
type: bleu
|
1979 |
+
value: 28.9
|
1980 |
+
- name: chr-F
|
1981 |
+
type: chrf
|
1982 |
+
value: 0.51261
|
1983 |
+
- task:
|
1984 |
+
name: Translation oci-cat
|
1985 |
+
type: translation
|
1986 |
+
args: oci-cat
|
1987 |
+
dataset:
|
1988 |
+
name: wmt21-ml-wp
|
1989 |
+
type: wmt21-ml-wp
|
1990 |
+
args: oci-cat
|
1991 |
+
metrics:
|
1992 |
+
- name: BLEU
|
1993 |
+
type: bleu
|
1994 |
+
value: 66.1
|
1995 |
+
- name: chr-F
|
1996 |
+
type: chrf
|
1997 |
+
value: 0.80908
|
1998 |
+
- task:
|
1999 |
+
name: Translation oci-ita
|
2000 |
+
type: translation
|
2001 |
+
args: oci-ita
|
2002 |
+
dataset:
|
2003 |
+
name: wmt21-ml-wp
|
2004 |
+
type: wmt21-ml-wp
|
2005 |
+
args: oci-ita
|
2006 |
+
metrics:
|
2007 |
+
- name: BLEU
|
2008 |
+
type: bleu
|
2009 |
+
value: 39.6
|
2010 |
+
- name: chr-F
|
2011 |
+
type: chrf
|
2012 |
+
value: 0.63584
|
2013 |
+
- task:
|
2014 |
+
name: Translation oci-ron
|
2015 |
+
type: translation
|
2016 |
+
args: oci-ron
|
2017 |
+
dataset:
|
2018 |
+
name: wmt21-ml-wp
|
2019 |
+
type: wmt21-ml-wp
|
2020 |
+
args: oci-ron
|
2021 |
+
metrics:
|
2022 |
+
- name: BLEU
|
2023 |
+
type: bleu
|
2024 |
+
value: 24.6
|
2025 |
+
- name: chr-F
|
2026 |
+
type: chrf
|
2027 |
+
value: 0.47384
|
2028 |
+
- task:
|
2029 |
+
name: Translation ron-cat
|
2030 |
+
type: translation
|
2031 |
+
args: ron-cat
|
2032 |
+
dataset:
|
2033 |
+
name: wmt21-ml-wp
|
2034 |
+
type: wmt21-ml-wp
|
2035 |
+
args: ron-cat
|
2036 |
+
metrics:
|
2037 |
+
- name: BLEU
|
2038 |
+
type: bleu
|
2039 |
+
value: 31.1
|
2040 |
+
- name: chr-F
|
2041 |
+
type: chrf
|
2042 |
+
value: 0.52994
|
2043 |
+
- task:
|
2044 |
+
name: Translation ron-ita
|
2045 |
+
type: translation
|
2046 |
+
args: ron-ita
|
2047 |
+
dataset:
|
2048 |
+
name: wmt21-ml-wp
|
2049 |
+
type: wmt21-ml-wp
|
2050 |
+
args: ron-ita
|
2051 |
+
metrics:
|
2052 |
+
- name: BLEU
|
2053 |
+
type: bleu
|
2054 |
+
value: 29.6
|
2055 |
+
- name: chr-F
|
2056 |
+
type: chrf
|
2057 |
+
value: 0.52714
|
2058 |
+
- task:
|
2059 |
+
name: Translation ron-oci
|
2060 |
+
type: translation
|
2061 |
+
args: ron-oci
|
2062 |
+
dataset:
|
2063 |
+
name: wmt21-ml-wp
|
2064 |
+
type: wmt21-ml-wp
|
2065 |
+
args: ron-oci
|
2066 |
+
metrics:
|
2067 |
+
- name: BLEU
|
2068 |
+
type: bleu
|
2069 |
+
value: 21.3
|
2070 |
+
- name: chr-F
|
2071 |
+
type: chrf
|
2072 |
+
value: 0.45932
|
2073 |
+
---
|
2074 |
+
# opus-mt-tc-big-itc-itc
|
2075 |
+
|
2076 |
+
## Table of Contents
|
2077 |
+
- [Model Details](#model-details)
|
2078 |
+
- [Uses](#uses)
|
2079 |
+
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
|
2080 |
+
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
|
2081 |
+
- [Training](#training)
|
2082 |
+
- [Evaluation](#evaluation)
|
2083 |
+
- [Citation Information](#citation-information)
|
2084 |
+
- [Acknowledgements](#acknowledgements)
|
2085 |
+
|
2086 |
+
## Model Details
|
2087 |
+
|
2088 |
+
Neural machine translation model for translating from Italic languages (itc) to Italic languages (itc).
|
2089 |
+
|
2090 |
+
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).
|
2091 |
+
**Model Description:**
|
2092 |
+
- **Developed by:** Language Technology Research Group at the University of Helsinki
|
2093 |
+
- **Model Type:** Translation (transformer-big)
|
2094 |
+
- **Release**: 2022-08-10
|
2095 |
+
- **License:** CC-BY-4.0
|
2096 |
+
- **Language(s):**
|
2097 |
+
- Source Language(s): ast cat cbk fra fro glg hat ita lad lad_Latn lat lat_Latn lij lld oci pms por ron spa
|
2098 |
+
- Target Language(s): ast cat fra gcf glg hat ita lad lad_Latn lat lat_Latn oci por ron spa
|
2099 |
+
- Valid Target Language Labels: >>ast<< >>cat<< >>fra<< >>gcf<< >>glg<< >>hat<< >>ita<< >>lad<< >>lad_Latn<< >>lat<< >>lat_Latn<< >>oci<< >>por<< >>ron<< >>spa<<
|
2100 |
+
- **Original Model**: [opusTCv20210807_transformer-big_2022-08-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opusTCv20210807_transformer-big_2022-08-10.zip)
|
2101 |
+
- **Resources for more information:**
|
2102 |
+
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
2103 |
+
- More information about released models for this language pair: [OPUS-MT itc-itc README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md)
|
2104 |
+
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
|
2105 |
+
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/
|
2106 |
+
|
2107 |
+
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. `>>ast<<`
|
2108 |
+
|
2109 |
+
## Uses
|
2110 |
+
|
2111 |
+
This model can be used for translation and text-to-text generation.
|
2112 |
+
|
2113 |
+
## Risks, Limitations and Biases
|
2114 |
+
|
2115 |
+
**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.**
|
2116 |
+
|
2117 |
+
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)).
|
2118 |
+
|
2119 |
+
## How to Get Started With the Model
|
2120 |
+
|
2121 |
+
A short example code:
|
2122 |
+
|
2123 |
+
```python
|
2124 |
+
from transformers import MarianMTModel, MarianTokenizer
|
2125 |
+
|
2126 |
+
src_text = [
|
2127 |
+
">>fra<< Charras anglés?",
|
2128 |
+
">>fra<< Vull veure't."
|
2129 |
+
]
|
2130 |
+
|
2131 |
+
model_name = "pytorch-models/opus-mt-tc-big-itc-itc"
|
2132 |
+
tokenizer = MarianTokenizer.from_pretrained(model_name)
|
2133 |
+
model = MarianMTModel.from_pretrained(model_name)
|
2134 |
+
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
|
2135 |
+
|
2136 |
+
for t in translated:
|
2137 |
+
print( tokenizer.decode(t, skip_special_tokens=True) )
|
2138 |
+
|
2139 |
+
# expected output:
|
2140 |
+
# Conversations anglaises ?
|
2141 |
+
# Je veux te voir.
|
2142 |
+
```
|
2143 |
+
|
2144 |
+
You can also use OPUS-MT models with the transformers pipelines, for example:
|
2145 |
+
|
2146 |
+
```python
|
2147 |
+
from transformers import pipeline
|
2148 |
+
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-itc-itc")
|
2149 |
+
print(pipe(">>fra<< Charras anglés?"))
|
2150 |
+
|
2151 |
+
# expected output: Conversations anglaises ?
|
2152 |
+
```
|
2153 |
+
|
2154 |
+
## Training
|
2155 |
+
|
2156 |
+
- **Data**: opusTCv20210807 ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
|
2157 |
+
- **Pre-processing**: SentencePiece (spm32k,spm32k)
|
2158 |
+
- **Model Type:** transformer-big
|
2159 |
+
- **Original MarianNMT Model**: [opusTCv20210807_transformer-big_2022-08-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opusTCv20210807_transformer-big_2022-08-10.zip)
|
2160 |
+
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
2161 |
+
|
2162 |
+
## Evaluation
|
2163 |
+
|
2164 |
+
* test set translations: [opusTCv20210807_transformer-big_2022-08-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opusTCv20210807_transformer-big_2022-08-10.test.txt)
|
2165 |
+
* test set scores: [opusTCv20210807_transformer-big_2022-08-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opusTCv20210807_transformer-big_2022-08-10.eval.txt)
|
2166 |
+
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
|
2167 |
+
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
|
2168 |
+
|
2169 |
+
| langpair | testset | chr-F | BLEU | #sent | #words |
|
2170 |
+
|----------|---------|-------|-------|-------|--------|
|
2171 |
+
| cat-fra | tatoeba-test-v2021-08-07 | 0.71201 | 54.6 | 700 | 5664 |
|
2172 |
+
| cat-ita | tatoeba-test-v2021-08-07 | 0.74198 | 58.4 | 298 | 2028 |
|
2173 |
+
| cat-por | tatoeba-test-v2021-08-07 | 0.74930 | 57.4 | 747 | 6119 |
|
2174 |
+
| cat-spa | tatoeba-test-v2021-08-07 | 0.87844 | 78.1 | 1534 | 12094 |
|
2175 |
+
| fra-cat | tatoeba-test-v2021-08-07 | 0.66525 | 46.2 | 700 | 5342 |
|
2176 |
+
| fra-ita | tatoeba-test-v2021-08-07 | 0.72742 | 53.8 | 10091 | 62060 |
|
2177 |
+
| fra-por | tatoeba-test-v2021-08-07 | 0.68413 | 48.6 | 10518 | 77650 |
|
2178 |
+
| fra-ron | tatoeba-test-v2021-08-07 | 0.65009 | 44.0 | 1925 | 12252 |
|
2179 |
+
| fra-spa | tatoeba-test-v2021-08-07 | 0.72080 | 54.8 | 10294 | 78406 |
|
2180 |
+
| glg-por | tatoeba-test-v2021-08-07 | 0.76720 | 61.1 | 433 | 3105 |
|
2181 |
+
| glg-spa | tatoeba-test-v2021-08-07 | 0.82362 | 71.7 | 2121 | 17443 |
|
2182 |
+
| ita-cat | tatoeba-test-v2021-08-07 | 0.72529 | 56.4 | 298 | 2109 |
|
2183 |
+
| ita-fra | tatoeba-test-v2021-08-07 | 0.77932 | 65.2 | 10091 | 66377 |
|
2184 |
+
| ita-por | tatoeba-test-v2021-08-07 | 0.72798 | 54.0 | 3066 | 25668 |
|
2185 |
+
| ita-ron | tatoeba-test-v2021-08-07 | 0.70814 | 51.1 | 1005 | 6209 |
|
2186 |
+
| ita-spa | tatoeba-test-v2021-08-07 | 0.77455 | 62.9 | 5000 | 34937 |
|
2187 |
+
| lad_Latn-spa | tatoeba-test-v2021-08-07 | 0.59363 | 42.6 | 239 | 1239 |
|
2188 |
+
| lad-spa | tatoeba-test-v2021-08-07 | 0.52243 | 34.7 | 276 | 1448 |
|
2189 |
+
| oci-fra | tatoeba-test-v2021-08-07 | 0.49660 | 29.6 | 806 | 6302 |
|
2190 |
+
| pms-ita | tatoeba-test-v2021-08-07 | 0.40221 | 20.0 | 232 | 1721 |
|
2191 |
+
| por-cat | tatoeba-test-v2021-08-07 | 0.71146 | 52.2 | 747 | 6149 |
|
2192 |
+
| por-fra | tatoeba-test-v2021-08-07 | 0.75565 | 60.9 | 10518 | 80459 |
|
2193 |
+
| por-glg | tatoeba-test-v2021-08-07 | 0.75348 | 59.0 | 433 | 3016 |
|
2194 |
+
| por-ita | tatoeba-test-v2021-08-07 | 0.76883 | 58.8 | 3066 | 24897 |
|
2195 |
+
| por-ron | tatoeba-test-v2021-08-07 | 0.67838 | 46.6 | 681 | 4521 |
|
2196 |
+
| por-spa | tatoeba-test-v2021-08-07 | 0.79336 | 64.8 | 10947 | 87335 |
|
2197 |
+
| ron-fra | tatoeba-test-v2021-08-07 | 0.70307 | 55.0 | 1925 | 13347 |
|
2198 |
+
| ron-ita | tatoeba-test-v2021-08-07 | 0.73862 | 53.7 | 1005 | 6352 |
|
2199 |
+
| ron-por | tatoeba-test-v2021-08-07 | 0.70889 | 50.7 | 681 | 4593 |
|
2200 |
+
| ron-spa | tatoeba-test-v2021-08-07 | 0.73529 | 57.2 | 1959 | 12679 |
|
2201 |
+
| spa-cat | tatoeba-test-v2021-08-07 | 0.82758 | 67.9 | 1534 | 12343 |
|
2202 |
+
| spa-fra | tatoeba-test-v2021-08-07 | 0.73113 | 57.3 | 10294 | 83501 |
|
2203 |
+
| spa-glg | tatoeba-test-v2021-08-07 | 0.77332 | 63.0 | 2121 | 16581 |
|
2204 |
+
| spa-ita | tatoeba-test-v2021-08-07 | 0.77046 | 60.3 | 5000 | 34515 |
|
2205 |
+
| spa-lad_Latn | tatoeba-test-v2021-08-07 | 0.40084 | 14.7 | 239 | 1254 |
|
2206 |
+
| spa-por | tatoeba-test-v2021-08-07 | 0.75854 | 59.1 | 10947 | 87610 |
|
2207 |
+
| spa-ron | tatoeba-test-v2021-08-07 | 0.66679 | 45.5 | 1959 | 12503 |
|
2208 |
+
| ast-cat | flores101-devtest | 0.57870 | 31.8 | 1012 | 27304 |
|
2209 |
+
| ast-fra | flores101-devtest | 0.56761 | 31.1 | 1012 | 28343 |
|
2210 |
+
| ast-glg | flores101-devtest | 0.55161 | 27.9 | 1012 | 26582 |
|
2211 |
+
| ast-ita | flores101-devtest | 0.51764 | 22.1 | 1012 | 27306 |
|
2212 |
+
| ast-oci | flores101-devtest | 0.49545 | 20.6 | 1012 | 27305 |
|
2213 |
+
| ast-por | flores101-devtest | 0.57347 | 31.5 | 1012 | 26519 |
|
2214 |
+
| ast-ron | flores101-devtest | 0.52317 | 24.8 | 1012 | 26799 |
|
2215 |
+
| ast-spa | flores101-devtest | 0.49741 | 21.2 | 1012 | 29199 |
|
2216 |
+
| cat-ast | flores101-devtest | 0.56754 | 24.7 | 1012 | 24572 |
|
2217 |
+
| cat-fra | flores101-devtest | 0.63368 | 38.4 | 1012 | 28343 |
|
2218 |
+
| cat-glg | flores101-devtest | 0.59596 | 32.2 | 1012 | 26582 |
|
2219 |
+
| cat-ita | flores101-devtest | 0.55886 | 26.3 | 1012 | 27306 |
|
2220 |
+
| cat-oci | flores101-devtest | 0.54285 | 24.6 | 1012 | 27305 |
|
2221 |
+
| cat-por | flores101-devtest | 0.62913 | 37.7 | 1012 | 26519 |
|
2222 |
+
| cat-ron | flores101-devtest | 0.56885 | 29.5 | 1012 | 26799 |
|
2223 |
+
| cat-spa | flores101-devtest | 0.53372 | 24.6 | 1012 | 29199 |
|
2224 |
+
| fra-ast | flores101-devtest | 0.52696 | 20.7 | 1012 | 24572 |
|
2225 |
+
| fra-cat | flores101-devtest | 0.60492 | 34.6 | 1012 | 27304 |
|
2226 |
+
| fra-glg | flores101-devtest | 0.57485 | 30.3 | 1012 | 26582 |
|
2227 |
+
| fra-ita | flores101-devtest | 0.56493 | 27.3 | 1012 | 27306 |
|
2228 |
+
| fra-oci | flores101-devtest | 0.57449 | 28.2 | 1012 | 27305 |
|
2229 |
+
| fra-por | flores101-devtest | 0.62211 | 36.9 | 1012 | 26519 |
|
2230 |
+
| fra-ron | flores101-devtest | 0.56998 | 29.4 | 1012 | 26799 |
|
2231 |
+
| fra-spa | flores101-devtest | 0.52880 | 24.2 | 1012 | 29199 |
|
2232 |
+
| glg-ast | flores101-devtest | 0.55090 | 22.4 | 1012 | 24572 |
|
2233 |
+
| glg-cat | flores101-devtest | 0.60550 | 32.6 | 1012 | 27304 |
|
2234 |
+
| glg-fra | flores101-devtest | 0.62026 | 36.0 | 1012 | 28343 |
|
2235 |
+
| glg-ita | flores101-devtest | 0.55834 | 25.9 | 1012 | 27306 |
|
2236 |
+
| glg-oci | flores101-devtest | 0.52520 | 21.9 | 1012 | 27305 |
|
2237 |
+
| glg-por | flores101-devtest | 0.60027 | 32.7 | 1012 | 26519 |
|
2238 |
+
| glg-ron | flores101-devtest | 0.55621 | 27.8 | 1012 | 26799 |
|
2239 |
+
| glg-spa | flores101-devtest | 0.53219 | 24.4 | 1012 | 29199 |
|
2240 |
+
| ita-ast | flores101-devtest | 0.50741 | 17.1 | 1012 | 24572 |
|
2241 |
+
| ita-cat | flores101-devtest | 0.57061 | 27.9 | 1012 | 27304 |
|
2242 |
+
| ita-fra | flores101-devtest | 0.60199 | 32.0 | 1012 | 28343 |
|
2243 |
+
| ita-glg | flores101-devtest | 0.55312 | 25.9 | 1012 | 26582 |
|
2244 |
+
| ita-oci | flores101-devtest | 0.48447 | 18.1 | 1012 | 27305 |
|
2245 |
+
| ita-por | flores101-devtest | 0.58162 | 29.0 | 1012 | 26519 |
|
2246 |
+
| ita-ron | flores101-devtest | 0.53703 | 24.2 | 1012 | 26799 |
|
2247 |
+
| ita-spa | flores101-devtest | 0.52238 | 23.1 | 1012 | 29199 |
|
2248 |
+
| oci-ast | flores101-devtest | 0.53010 | 20.2 | 1012 | 24572 |
|
2249 |
+
| oci-cat | flores101-devtest | 0.59946 | 32.2 | 1012 | 27304 |
|
2250 |
+
| oci-fra | flores101-devtest | 0.64290 | 39.0 | 1012 | 28343 |
|
2251 |
+
| oci-glg | flores101-devtest | 0.56737 | 28.0 | 1012 | 26582 |
|
2252 |
+
| oci-ita | flores101-devtest | 0.54220 | 24.2 | 1012 | 27306 |
|
2253 |
+
| oci-por | flores101-devtest | 0.62127 | 35.7 | 1012 | 26519 |
|
2254 |
+
| oci-ron | flores101-devtest | 0.55906 | 28.0 | 1012 | 26799 |
|
2255 |
+
| oci-spa | flores101-devtest | 0.52110 | 22.8 | 1012 | 29199 |
|
2256 |
+
| por-ast | flores101-devtest | 0.54539 | 22.5 | 1012 | 24572 |
|
2257 |
+
| por-cat | flores101-devtest | 0.61809 | 36.4 | 1012 | 27304 |
|
2258 |
+
| por-fra | flores101-devtest | 0.64343 | 39.7 | 1012 | 28343 |
|
2259 |
+
| por-glg | flores101-devtest | 0.57965 | 30.4 | 1012 | 26582 |
|
2260 |
+
| por-ita | flores101-devtest | 0.55841 | 26.3 | 1012 | 27306 |
|
2261 |
+
| por-oci | flores101-devtest | 0.54829 | 25.3 | 1012 | 27305 |
|
2262 |
+
| por-ron | flores101-devtest | 0.57283 | 29.8 | 1012 | 26799 |
|
2263 |
+
| por-spa | flores101-devtest | 0.53513 | 25.2 | 1012 | 29199 |
|
2264 |
+
| ron-ast | flores101-devtest | 0.52265 | 20.1 | 1012 | 24572 |
|
2265 |
+
| ron-cat | flores101-devtest | 0.59689 | 32.6 | 1012 | 27304 |
|
2266 |
+
| ron-fra | flores101-devtest | 0.63060 | 37.4 | 1012 | 28343 |
|
2267 |
+
| ron-glg | flores101-devtest | 0.56677 | 29.3 | 1012 | 26582 |
|
2268 |
+
| ron-ita | flores101-devtest | 0.55485 | 25.6 | 1012 | 27306 |
|
2269 |
+
| ron-oci | flores101-devtest | 0.52433 | 21.8 | 1012 | 27305 |
|
2270 |
+
| ron-por | flores101-devtest | 0.61831 | 36.1 | 1012 | 26519 |
|
2271 |
+
| ron-spa | flores101-devtest | 0.52712 | 24.1 | 1012 | 29199 |
|
2272 |
+
| spa-ast | flores101-devtest | 0.49008 | 15.7 | 1012 | 24572 |
|
2273 |
+
| spa-cat | flores101-devtest | 0.53905 | 23.2 | 1012 | 27304 |
|
2274 |
+
| spa-fra | flores101-devtest | 0.57078 | 27.4 | 1012 | 28343 |
|
2275 |
+
| spa-glg | flores101-devtest | 0.52563 | 22.0 | 1012 | 26582 |
|
2276 |
+
| spa-ita | flores101-devtest | 0.52783 | 22.3 | 1012 | 27306 |
|
2277 |
+
| spa-oci | flores101-devtest | 0.48064 | 16.3 | 1012 | 27305 |
|
2278 |
+
| spa-por | flores101-devtest | 0.55736 | 25.8 | 1012 | 26519 |
|
2279 |
+
| spa-ron | flores101-devtest | 0.51623 | 21.4 | 1012 | 26799 |
|
2280 |
+
| fra-ita | newssyscomb2009 | 0.60995 | 32.1 | 502 | 11551 |
|
2281 |
+
| fra-spa | newssyscomb2009 | 0.60224 | 34.2 | 502 | 12503 |
|
2282 |
+
| ita-fra | newssyscomb2009 | 0.61237 | 33.7 | 502 | 12331 |
|
2283 |
+
| ita-spa | newssyscomb2009 | 0.60706 | 35.4 | 502 | 12503 |
|
2284 |
+
| spa-fra | newssyscomb2009 | 0.61290 | 34.6 | 502 | 12331 |
|
2285 |
+
| spa-ita | newssyscomb2009 | 0.61632 | 33.3 | 502 | 11551 |
|
2286 |
+
| fra-spa | news-test2008 | 0.58939 | 33.9 | 2051 | 52586 |
|
2287 |
+
| spa-fra | news-test2008 | 0.58695 | 32.4 | 2051 | 52685 |
|
2288 |
+
| fra-ita | newstest2009 | 0.59764 | 31.2 | 2525 | 63466 |
|
2289 |
+
| fra-spa | newstest2009 | 0.58829 | 32.5 | 2525 | 68111 |
|
2290 |
+
| ita-fra | newstest2009 | 0.59084 | 31.6 | 2525 | 69263 |
|
2291 |
+
| ita-spa | newstest2009 | 0.59669 | 33.5 | 2525 | 68111 |
|
2292 |
+
| spa-fra | newstest2009 | 0.59096 | 32.3 | 2525 | 69263 |
|
2293 |
+
| spa-ita | newstest2009 | 0.60783 | 33.2 | 2525 | 63466 |
|
2294 |
+
| fra-spa | newstest2010 | 0.62250 | 37.8 | 2489 | 65480 |
|
2295 |
+
| spa-fra | newstest2010 | 0.61953 | 36.2 | 2489 | 66022 |
|
2296 |
+
| fra-spa | newstest2011 | 0.62953 | 39.8 | 3003 | 79476 |
|
2297 |
+
| spa-fra | newstest2011 | 0.61130 | 34.9 | 3003 | 80626 |
|
2298 |
+
| fra-spa | newstest2012 | 0.62397 | 39.0 | 3003 | 79006 |
|
2299 |
+
| spa-fra | newstest2012 | 0.60927 | 34.3 | 3003 | 78011 |
|
2300 |
+
| fra-spa | newstest2013 | 0.59312 | 34.9 | 3000 | 70528 |
|
2301 |
+
| spa-fra | newstest2013 | 0.59468 | 33.6 | 3000 | 70037 |
|
2302 |
+
| cat-ita | wmt21-ml-wp | 0.69968 | 47.8 | 1743 | 42735 |
|
2303 |
+
| cat-oci | wmt21-ml-wp | 0.73808 | 51.6 | 1743 | 43736 |
|
2304 |
+
| cat-ron | wmt21-ml-wp | 0.51178 | 29.0 | 1743 | 42895 |
|
2305 |
+
| ita-cat | wmt21-ml-wp | 0.70538 | 48.9 | 1743 | 43833 |
|
2306 |
+
| ita-oci | wmt21-ml-wp | 0.59025 | 32.0 | 1743 | 43736 |
|
2307 |
+
| ita-ron | wmt21-ml-wp | 0.51261 | 28.9 | 1743 | 42895 |
|
2308 |
+
| oci-cat | wmt21-ml-wp | 0.80908 | 66.1 | 1743 | 43833 |
|
2309 |
+
| oci-ita | wmt21-ml-wp | 0.63584 | 39.6 | 1743 | 42735 |
|
2310 |
+
| oci-ron | wmt21-ml-wp | 0.47384 | 24.6 | 1743 | 42895 |
|
2311 |
+
| ron-cat | wmt21-ml-wp | 0.52994 | 31.1 | 1743 | 43833 |
|
2312 |
+
| ron-ita | wmt21-ml-wp | 0.52714 | 29.6 | 1743 | 42735 |
|
2313 |
+
| ron-oci | wmt21-ml-wp | 0.45932 | 21.3 | 1743 | 43736 |
|
2314 |
+
|
2315 |
+
## Citation Information
|
2316 |
+
|
2317 |
+
* Publications: [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.)
|
2318 |
+
|
2319 |
+
```
|
2320 |
+
@inproceedings{tiedemann-thottingal-2020-opus,
|
2321 |
+
title = "{OPUS}-{MT} {--} Building open translation services for the World",
|
2322 |
+
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
|
2323 |
+
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
|
2324 |
+
month = nov,
|
2325 |
+
year = "2020",
|
2326 |
+
address = "Lisboa, Portugal",
|
2327 |
+
publisher = "European Association for Machine Translation",
|
2328 |
+
url = "https://aclanthology.org/2020.eamt-1.61",
|
2329 |
+
pages = "479--480",
|
2330 |
+
}
|
2331 |
+
|
2332 |
+
@inproceedings{tiedemann-2020-tatoeba,
|
2333 |
+
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
|
2334 |
+
author = {Tiedemann, J{\"o}rg},
|
2335 |
+
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
|
2336 |
+
month = nov,
|
2337 |
+
year = "2020",
|
2338 |
+
address = "Online",
|
2339 |
+
publisher = "Association for Computational Linguistics",
|
2340 |
+
url = "https://aclanthology.org/2020.wmt-1.139",
|
2341 |
+
pages = "1174--1182",
|
2342 |
+
}
|
2343 |
+
```
|
2344 |
+
|
2345 |
+
## Acknowledgements
|
2346 |
+
|
2347 |
+
The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
|
2348 |
+
|
2349 |
+
## Model conversion info
|
2350 |
+
|
2351 |
+
* transformers version: 4.16.2
|
2352 |
+
* OPUS-MT git hash: 8b9f0b0
|
2353 |
+
* port time: Fri Aug 12 13:02:38 EEST 2022
|
2354 |
+
* port machine: LM0-400-22516.local
|
benchmark_results.txt
ADDED
@@ -0,0 +1,294 @@
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|
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|
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|
|
|
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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 |
+
ast-cat flores101-dev 0.56993 31.1 997 25962
|
2 |
+
ast-fra flores101-dev 0.56952 32.2 997 26706
|
3 |
+
ast-glg flores101-dev 0.54400 28.3 997 25265
|
4 |
+
ast-ita flores101-dev 0.51441 22.6 997 25840
|
5 |
+
ast-oci flores101-dev 0.49415 21.1 997 25819
|
6 |
+
ast-por flores101-dev 0.56712 30.9 997 25287
|
7 |
+
ast-ron flores101-dev 0.52266 25.1 997 25616
|
8 |
+
ast-spa flores101-dev 0.48952 21.3 997 27793
|
9 |
+
cat-ast flores101-dev 0.55160 23.9 997 23232
|
10 |
+
cat-fra flores101-dev 0.63184 38.3 997 26706
|
11 |
+
cat-glg flores101-dev 0.59388 32.3 997 25265
|
12 |
+
cat-ita flores101-dev 0.55787 26.2 997 25840
|
13 |
+
cat-oci flores101-dev 0.54514 25.6 997 25819
|
14 |
+
cat-por flores101-dev 0.62313 36.9 997 25287
|
15 |
+
cat-ron flores101-dev 0.56799 29.5 997 25616
|
16 |
+
cat-spa flores101-dev 0.52900 24.3 997 27793
|
17 |
+
fra-ast flores101-dev 0.51966 20.6 997 23232
|
18 |
+
fra-cat flores101-dev 0.59877 33.7 997 25962
|
19 |
+
fra-glg flores101-dev 0.57259 30.1 997 25265
|
20 |
+
fra-ita flores101-dev 0.55876 26.1 997 25840
|
21 |
+
fra-oci flores101-dev 0.57502 28.5 997 25819
|
22 |
+
fra-por flores101-dev 0.61771 36.5 997 25287
|
23 |
+
fra-ron flores101-dev 0.56672 30.0 997 25616
|
24 |
+
fra-spa flores101-dev 0.51968 23.8 997 27793
|
25 |
+
glg-ast flores101-dev 0.54482 22.7 997 23232
|
26 |
+
glg-cat flores101-dev 0.60313 32.8 997 25962
|
27 |
+
glg-fra flores101-dev 0.61767 35.9 997 26706
|
28 |
+
glg-ita flores101-dev 0.55075 25.0 997 25840
|
29 |
+
glg-oci flores101-dev 0.52977 22.7 997 25819
|
30 |
+
glg-por flores101-dev 0.59659 32.3 997 25287
|
31 |
+
glg-ron flores101-dev 0.55550 28.4 997 25616
|
32 |
+
glg-spa flores101-dev 0.53044 24.5 997 27793
|
33 |
+
ita-ast flores101-dev 0.49418 16.5 997 23232
|
34 |
+
ita-cat flores101-dev 0.56351 27.4 997 25962
|
35 |
+
ita-fra flores101-dev 0.59322 31.0 997 26706
|
36 |
+
ita-glg flores101-dev 0.54433 25.1 997 25265
|
37 |
+
ita-oci flores101-dev 0.47877 18.1 997 25819
|
38 |
+
ita-por flores101-dev 0.57238 28.3 997 25287
|
39 |
+
ita-ron flores101-dev 0.52778 23.8 997 25616
|
40 |
+
ita-spa flores101-dev 0.51145 22.5 997 27793
|
41 |
+
oci-ast flores101-dev 0.52269 20.2 997 23232
|
42 |
+
oci-cat flores101-dev 0.59532 32.1 997 25962
|
43 |
+
oci-fra flores101-dev 0.64711 39.7 997 26706
|
44 |
+
oci-glg flores101-dev 0.56790 28.9 997 25265
|
45 |
+
oci-ita flores101-dev 0.53848 24.3 997 25840
|
46 |
+
oci-por flores101-dev 0.61621 35.6 997 25287
|
47 |
+
oci-ron flores101-dev 0.55893 28.8 997 25616
|
48 |
+
oci-spa flores101-dev 0.51491 22.6 997 27793
|
49 |
+
por-ast flores101-dev 0.53306 21.4 997 23232
|
50 |
+
por-cat flores101-dev 0.60956 35.1 997 25962
|
51 |
+
por-fra flores101-dev 0.63829 39.5 997 26706
|
52 |
+
por-glg flores101-dev 0.57314 29.8 997 25265
|
53 |
+
por-ita flores101-dev 0.55032 25.5 997 25840
|
54 |
+
por-oci flores101-dev 0.54152 25.0 997 25819
|
55 |
+
por-ron flores101-dev 0.57130 30.3 997 25616
|
56 |
+
por-spa flores101-dev 0.52929 24.9 997 27793
|
57 |
+
ron-ast flores101-dev 0.51473 19.8 997 23232
|
58 |
+
ron-cat flores101-dev 0.59300 32.4 997 25962
|
59 |
+
ron-fra flores101-dev 0.62557 37.4 997 26706
|
60 |
+
ron-glg flores101-dev 0.56859 29.6 997 25265
|
61 |
+
ron-ita flores101-dev 0.54677 24.4 997 25840
|
62 |
+
ron-oci flores101-dev 0.52448 22.6 997 25819
|
63 |
+
ron-por flores101-dev 0.60829 34.9 997 25287
|
64 |
+
ron-spa flores101-dev 0.51970 24.0 997 27793
|
65 |
+
spa-ast flores101-dev 0.48365 15.1 997 23232
|
66 |
+
spa-cat flores101-dev 0.53735 22.7 997 25962
|
67 |
+
spa-fra flores101-dev 0.56861 27.7 997 26706
|
68 |
+
spa-glg flores101-dev 0.52786 22.3 997 25265
|
69 |
+
spa-ita flores101-dev 0.52474 21.6 997 25840
|
70 |
+
spa-oci flores101-dev 0.48027 16.8 997 25819
|
71 |
+
spa-por flores101-dev 0.55183 25.2 997 25287
|
72 |
+
spa-ron flores101-dev 0.51403 22.0 997 25616
|
73 |
+
ast-cat flores101-devtest 0.57870 31.8 1012 27304
|
74 |
+
ast-fra flores101-devtest 0.56761 31.1 1012 28343
|
75 |
+
ast-glg flores101-devtest 0.55161 27.9 1012 26582
|
76 |
+
ast-ita flores101-devtest 0.51764 22.1 1012 27306
|
77 |
+
ast-oci flores101-devtest 0.49545 20.6 1012 27305
|
78 |
+
ast-por flores101-devtest 0.57347 31.5 1012 26519
|
79 |
+
ast-ron flores101-devtest 0.52317 24.8 1012 26799
|
80 |
+
ast-spa flores101-devtest 0.49741 21.2 1012 29199
|
81 |
+
cat-ast flores101-devtest 0.56754 24.7 1012 24572
|
82 |
+
cat-fra flores101-devtest 0.63368 38.4 1012 28343
|
83 |
+
cat-glg flores101-devtest 0.59596 32.2 1012 26582
|
84 |
+
cat-ita flores101-devtest 0.55886 26.3 1012 27306
|
85 |
+
cat-oci flores101-devtest 0.54285 24.6 1012 27305
|
86 |
+
cat-por flores101-devtest 0.62913 37.7 1012 26519
|
87 |
+
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benchmark_translations.zip
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:621c7657fe954235aa2ce27f34c19f3086b20696bd55608fa1ffd5263dce47d4
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3 |
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size 45914103
|
config.json
ADDED
@@ -0,0 +1,45 @@
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|
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|
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|
|
|
|
|
|
|
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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 |
+
{
|
2 |
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"activation_dropout": 0.0,
|
3 |
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"activation_function": "relu",
|
4 |
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"architectures": [
|
5 |
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"MarianMTModel"
|
6 |
+
],
|
7 |
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"attention_dropout": 0.0,
|
8 |
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"bad_words_ids": [
|
9 |
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[
|
10 |
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35282
|
11 |
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]
|
12 |
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],
|
13 |
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"bos_token_id": 0,
|
14 |
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|
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"d_model": 1024,
|
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|
17 |
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|
18 |
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|
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|
20 |
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|
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|
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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"eos_token_id": 29158,
|
28 |
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"forced_eos_token_id": 29158,
|
29 |
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"init_std": 0.02,
|
30 |
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"is_encoder_decoder": true,
|
31 |
+
"max_length": 512,
|
32 |
+
"max_position_embeddings": 1024,
|
33 |
+
"model_type": "marian",
|
34 |
+
"normalize_embedding": false,
|
35 |
+
"num_beams": 4,
|
36 |
+
"num_hidden_layers": 6,
|
37 |
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"pad_token_id": 35282,
|
38 |
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"scale_embedding": true,
|
39 |
+
"share_encoder_decoder_embeddings": true,
|
40 |
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"static_position_embeddings": true,
|
41 |
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"torch_dtype": "float16",
|
42 |
+
"transformers_version": "4.18.0.dev0",
|
43 |
+
"use_cache": true,
|
44 |
+
"vocab_size": 35283
|
45 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:d3159e3ce64dbbf65dc9521e49f4e3fcf04c9b0544282c4c7b9f332548063d70
|
3 |
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size 497396163
|
source.spm
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:afade4a78a9e1c0853e1614f9f2f607d522fdceda4eceb510883b7954a287220
|
3 |
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size 810819
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
|
target.spm
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:8452e3069d0e13d220a2cf2da7cf1bd9cda32a653721a3cab29ed3b8d7d5ed64
|
3 |
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size 811011
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"source_lang": "itc", "target_lang": "itc", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "special_tokens_map_file": null, "name_or_path": "marian-models/opusTCv20210807_transformer-big_2022-08-10/itc-itc", "tokenizer_class": "MarianTokenizer"}
|
vocab.json
ADDED
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|
|