tiedeman commited on
Commit
05b9991
1 Parent(s): 6ffa95d

Initial commit

Browse files
.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
28
+ *.spm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - bat
4
+ - lt
5
+ - lv
6
+ - ru
7
+ - zle
8
+
9
+ tags:
10
+ - translation
11
+
12
+ license: cc-by-4.0
13
+ model-index:
14
+ - name: opus-mt-tc-base-zle-bat
15
+ results:
16
+ - task:
17
+ name: Translation rus-lav
18
+ type: translation
19
+ args: rus-lav
20
+ dataset:
21
+ name: flores101-devtest
22
+ type: flores_101
23
+ args: rus lav devtest
24
+ metrics:
25
+ - name: BLEU
26
+ type: bleu
27
+ value: 20.0
28
+ - task:
29
+ name: Translation rus-lit
30
+ type: translation
31
+ args: rus-lit
32
+ dataset:
33
+ name: flores101-devtest
34
+ type: flores_101
35
+ args: rus lit devtest
36
+ metrics:
37
+ - name: BLEU
38
+ type: bleu
39
+ value: 20.6
40
+ - task:
41
+ name: Translation ukr-lav
42
+ type: translation
43
+ args: ukr-lav
44
+ dataset:
45
+ name: flores101-devtest
46
+ type: flores_101
47
+ args: ukr lav devtest
48
+ metrics:
49
+ - name: BLEU
50
+ type: bleu
51
+ value: 21.4
52
+ - task:
53
+ name: Translation ukr-lit
54
+ type: translation
55
+ args: ukr-lit
56
+ dataset:
57
+ name: flores101-devtest
58
+ type: flores_101
59
+ args: ukr lit devtest
60
+ metrics:
61
+ - name: BLEU
62
+ type: bleu
63
+ value: 20.5
64
+ - task:
65
+ name: Translation rus-lav
66
+ type: translation
67
+ args: rus-lav
68
+ dataset:
69
+ name: tatoeba-test-v2021-08-07
70
+ type: tatoeba_mt
71
+ args: rus-lav
72
+ metrics:
73
+ - name: BLEU
74
+ type: bleu
75
+ value: 55.3
76
+ - task:
77
+ name: Translation rus-lit
78
+ type: translation
79
+ args: rus-lit
80
+ dataset:
81
+ name: tatoeba-test-v2021-08-07
82
+ type: tatoeba_mt
83
+ args: rus-lit
84
+ metrics:
85
+ - name: BLEU
86
+ type: bleu
87
+ value: 47.2
88
+ ---
89
+ # opus-mt-tc-base-zle-bat
90
+
91
+ Neural machine translation model for translating from East Slavic languages (zle) to Baltic languages (bat).
92
+
93
+ 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).
94
+
95
+ * 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.)
96
+
97
+ ```
98
+ @inproceedings{tiedemann-thottingal-2020-opus,
99
+ title = "{OPUS}-{MT} {--} Building open translation services for the World",
100
+ author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
101
+ booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
102
+ month = nov,
103
+ year = "2020",
104
+ address = "Lisboa, Portugal",
105
+ publisher = "European Association for Machine Translation",
106
+ url = "https://aclanthology.org/2020.eamt-1.61",
107
+ pages = "479--480",
108
+ }
109
+
110
+ @inproceedings{tiedemann-2020-tatoeba,
111
+ title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
112
+ author = {Tiedemann, J{\"o}rg},
113
+ booktitle = "Proceedings of the Fifth Conference on Machine Translation",
114
+ month = nov,
115
+ year = "2020",
116
+ address = "Online",
117
+ publisher = "Association for Computational Linguistics",
118
+ url = "https://aclanthology.org/2020.wmt-1.139",
119
+ pages = "1174--1182",
120
+ }
121
+ ```
122
+
123
+ ## Model info
124
+
125
+ * Release: 2022-03-14
126
+ * source language(s): rus
127
+ * target language(s): lav lit
128
+ * valid target language labels: >>lav<< >>lit<<
129
+ * model: transformer-align
130
+ * data: opusTCv20210807 ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
131
+ * tokenization: SentencePiece (spm32k,spm32k)
132
+ * original model: [opusTCv20210807_transformer-align_2022-03-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-bat/opusTCv20210807_transformer-align_2022-03-14.zip)
133
+ * more information released models: [OPUS-MT zle-bat README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-bat/README.md)
134
+ * more information about the model: [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian)
135
+
136
+ 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. `>>lav<<`
137
+
138
+ ## Usage
139
+
140
+ A short example code:
141
+
142
+ ```python
143
+ from transformers import MarianMTModel, MarianTokenizer
144
+
145
+ src_text = [
146
+ ">>lav<< Африка - колыбель человечества.",
147
+ ">>lit<< Том — наш капітан."
148
+ ]
149
+
150
+ model_name = "pytorch-models/opus-mt-tc-base-zle-bat"
151
+ tokenizer = MarianTokenizer.from_pretrained(model_name)
152
+ model = MarianMTModel.from_pretrained(model_name)
153
+ translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
154
+
155
+ for t in translated:
156
+ print( tokenizer.decode(t, skip_special_tokens=True) )
157
+
158
+ # expected output:
159
+ # Āfrika ir cilvēces šūpulis.
160
+ # Tomas yra mūsų kapitonas.
161
+ ```
162
+
163
+ You can also use OPUS-MT models with the transformers pipelines, for example:
164
+
165
+ ```python
166
+ from transformers import pipeline
167
+ pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-zle-bat")
168
+ print(pipe(">>lav<< Африка - колыбель человечества."))
169
+
170
+ # expected output: Āfrika ir cilvēces šūpulis.
171
+ ```
172
+
173
+ ## Benchmarks
174
+
175
+ * test set translations: [opusTCv20210807_transformer-align_2022-03-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-bat/opusTCv20210807_transformer-align_2022-03-14.test.txt)
176
+ * test set scores: [opusTCv20210807_transformer-align_2022-03-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-bat/opusTCv20210807_transformer-align_2022-03-14.eval.txt)
177
+ * benchmark results: [benchmark_results.txt](benchmark_results.txt)
178
+ * benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
179
+
180
+ | langpair | testset | chr-F | BLEU | #sent | #words |
181
+ |----------|---------|-------|-------|-------|--------|
182
+ | rus-lav | tatoeba-test-v2021-08-07 | 0.74223 | 55.3 | 274 | 1518 |
183
+ | rus-lit | tatoeba-test-v2021-08-07 | 0.70795 | 47.2 | 3598 | 20662 |
184
+ | rus-lav | flores101-devtest | 0.50134 | 20.0 | 1012 | 22092 |
185
+ | rus-lit | flores101-devtest | 0.53732 | 20.6 | 1012 | 20695 |
186
+ | ukr-lav | flores101-devtest | 0.51379 | 21.4 | 1012 | 22092 |
187
+ | ukr-lit | flores101-devtest | 0.54085 | 20.5 | 1012 | 20695 |
188
+
189
+ ## Acknowledgements
190
+
191
+ 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.
192
+
193
+ ## Model conversion info
194
+
195
+ * transformers version: 4.16.2
196
+ * OPUS-MT git hash: 1bdabf7
197
+ * port time: Wed Mar 23 22:11:57 EET 2022
198
+ * port machine: LM0-400-22516.local
benchmark_results.txt ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ rus-lav flores101-dev 0.49996 20.4 997 21381
2
+ rus-lit flores101-dev 0.53395 19.4 997 20018
3
+ rus-lav flores101-devtest 0.50134 20.0 1012 22092
4
+ rus-lit flores101-devtest 0.53732 20.6 1012 20695
5
+ ukr-lav flores101-devtest 0.51379 21.4 1012 22092
6
+ ukr-lit flores101-devtest 0.54085 20.5 1012 20695
7
+ ukr-lav flores101-dev 0.50854 22.0 997 21381
8
+ ukr-lit flores101-dev 0.53197 20.4 997 20018
9
+ rus-lav tatoeba-test-v2020-07-28 0.74223 55.3 274 1518
10
+ rus-lit tatoeba-test-v2020-07-28 0.73342 49.7 2500 14406
11
+ rus-lav tatoeba-test-v2021-03-30 0.73994 54.9 276 1531
12
+ rus-lit tatoeba-test-v2021-03-30 0.72190 48.8 5296 30476
13
+ rus-lav tatoeba-test-v2021-08-07 0.74223 55.3 274 1518
14
+ rus-lit tatoeba-test-v2021-08-07 0.70795 47.2 3598 20662
benchmark_translations.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85a32651df1213207d2f3427026c481710e8c5e7d3beec928037274155391fa7
3
+ size 1968750
config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation_dropout": 0.0,
3
+ "activation_function": "swish",
4
+ "architectures": [
5
+ "MarianMTModel"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bad_words_ids": [
9
+ [
10
+ 61955
11
+ ]
12
+ ],
13
+ "bos_token_id": 0,
14
+ "classifier_dropout": 0.0,
15
+ "d_model": 512,
16
+ "decoder_attention_heads": 8,
17
+ "decoder_ffn_dim": 2048,
18
+ "decoder_layerdrop": 0.0,
19
+ "decoder_layers": 6,
20
+ "decoder_start_token_id": 61955,
21
+ "decoder_vocab_size": 61956,
22
+ "dropout": 0.1,
23
+ "encoder_attention_heads": 8,
24
+ "encoder_ffn_dim": 2048,
25
+ "encoder_layerdrop": 0.0,
26
+ "encoder_layers": 6,
27
+ "eos_token_id": 24393,
28
+ "forced_eos_token_id": 24393,
29
+ "init_std": 0.02,
30
+ "is_encoder_decoder": true,
31
+ "max_length": 512,
32
+ "max_position_embeddings": 512,
33
+ "model_type": "marian",
34
+ "normalize_embedding": false,
35
+ "num_beams": 4,
36
+ "num_hidden_layers": 6,
37
+ "pad_token_id": 61955,
38
+ "scale_embedding": true,
39
+ "share_encoder_decoder_embeddings": true,
40
+ "static_position_embeddings": true,
41
+ "torch_dtype": "float16",
42
+ "transformers_version": "4.18.0.dev0",
43
+ "use_cache": true,
44
+ "vocab_size": 61956
45
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f47c7a65452e0363678208928cf6f8d59f4754070aec656830813aa35fc35ff
3
+ size 215378499
source.spm ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dea55300569b8892ec5874a69c0c09cc3455c523d7c465414b4ed83a5b6dcea
3
+ size 1019549
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
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:107339f7b7525483951a3795ea4d12a2ac15a1337e5d4d04dddf95816ecd92ca
3
+ size 827768
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"source_lang": "zle", "target_lang": "bat", "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-align_2022-03-14/zle-bat", "tokenizer_class": "MarianTokenizer"}
vocab.json ADDED
The diff for this file is too large to render. See raw diff