Duplicate from Helsinki-NLP/opus-mt-en-zh
Browse filesCo-authored-by: Satya <Satya10@users.noreply.huggingface.co>
- .gitattributes +9 -0
- README.md +96 -0
- config.json +61 -0
- flax_model.msgpack +3 -0
- generation_config.json +16 -0
- metadata.json +1 -0
- pytorch_model.bin +3 -0
- rust_model.ot +3 -0
- source.spm +0 -0
- target.spm +0 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
.gitattributes
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README.md
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---
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language:
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- en
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- zh
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tags:
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- translation
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license: apache-2.0
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---
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### eng-zho
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* source group: English
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* target group: Chinese
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* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
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* model: transformer
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* source language(s): eng
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* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
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* model: transformer
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* pre-processing: normalization + SentencePiece (spm32k,spm32k)
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* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
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* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip)
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* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt)
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* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| Tatoeba-test.eng.zho | 31.4 | 0.268 |
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### System Info:
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- hf_name: eng-zho
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- source_languages: eng
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- target_languages: zho
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- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md
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- original_repo: Tatoeba-Challenge
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- tags: ['translation']
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- languages: ['en', 'zh']
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- src_constituents: {'eng'}
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- tgt_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
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- src_multilingual: False
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- tgt_multilingual: False
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- prepro: normalization + SentencePiece (spm32k,spm32k)
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- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip
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- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt
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- src_alpha3: eng
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- tgt_alpha3: zho
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- short_pair: en-zh
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- chrF2_score: 0.268
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- bleu: 31.4
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- brevity_penalty: 0.8959999999999999
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- ref_len: 110468.0
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- src_name: English
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- tgt_name: Chinese
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- train_date: 2020-07-17
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- src_alpha2: en
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- tgt_alpha2: zh
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- prefer_old: False
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- long_pair: eng-zho
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- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
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- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
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- port_machine: brutasse
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- port_time: 2020-08-21-14:41
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config.json
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{
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"_name_or_path": "./",
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"MarianMTModel"
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],
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"attention_dropout": 0.0,
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"bad_words_ids": [
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65000
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"bos_token_id": 0,
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"d_model": 512,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 65000,
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"do_blenderbot_90_layernorm": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_layers": 6,
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"eos_token_id": 0,
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"extra_pos_embeddings": 0,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 0,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "marian",
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"normalize_before": false,
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"normalize_embedding": false,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 65000,
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"scale_embedding": true,
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"static_position_embeddings": true,
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"transformers_version": "4.9.0.dev0",
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"use_cache": true,
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"vocab_size": 65001
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}
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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size 309944974
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generation_config.json
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{
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"bad_words_ids": [
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[
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65000
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}
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metadata.json
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{"hf_name":"eng-zho","source_languages":"eng","target_languages":"zho","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/eng-zho\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["en","zh"],"src_constituents":["eng"],"tgt_constituents":["cmn_Hans","nan","nan_Hani","gan","yue","cmn_Kana","yue_Hani","wuu_Bopo","cmn_Latn","yue_Hira","cmn_Hani","cjy_Hans","cmn","lzh_Hang","lzh_Hira","cmn_Hant","lzh_Bopo","zho","zho_Hans","zho_Hant","lzh_Hani","yue_Hang","wuu","yue_Kana","wuu_Latn","yue_Bopo","cjy_Hant","yue_Hans","lzh","cmn_Hira","lzh_Yiii","lzh_Hans","cmn_Bopo","cmn_Hang","hak_Hani","cmn_Yiii","yue_Hant","lzh_Kana","wuu_Hani"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-zho\/opus-2020-07-17.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-zho\/opus-2020-07-17.test.txt","src_alpha3":"eng","tgt_alpha3":"zho","short_pair":"en-zh","chrF2_score":0.268,"bleu":31.4,"brevity_penalty":0.896,"ref_len":110468.0,"src_name":"English","tgt_name":"Chinese","train_date":"2020-07-17","src_alpha2":"en","tgt_alpha2":"zh","prefer_old":false,"long_pair":"eng-zho","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}
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pytorch_model.bin
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rust_model.ot
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source.spm
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target.spm
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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{"target_lang": "zho", "source_lang": "eng"}
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vocab.json
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