upstream-archive byte-perfect snapshot of Helsinki-NLP/opus-mt-cpp-en (ADR-039 Phase D)

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README.md

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+---
+language: 
+- id
+- cpp
+- en
+
+tags:
+- translation
+
+license: apache-2.0
+---
+
+### cpp-eng
+
+* source group: Creoles and pidgins, Portuguese-based 
+* target group: English 
+*  OPUS readme: [cpp-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md)
+
+*  model: transformer
+* source language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn
+* target language(s): eng
+* model: transformer
+* pre-processing: normalization + SentencePiece (spm32k,spm32k)
+* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip)
+* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt)
+* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.eval.txt)
+
+## Benchmarks
+
+| testset               | BLEU  | chr-F |
+|-----------------------|-------|-------|
+| Tatoeba-test.msa-eng.msa.eng 	| 39.6 	| 0.580 |
+| Tatoeba-test.multi.eng 	| 39.7 	| 0.580 |
+| Tatoeba-test.pap-eng.pap.eng 	| 49.1 	| 0.579 |
+
+
+### System Info: 
+- hf_name: cpp-eng
+
+- source_languages: cpp
+
+- target_languages: eng
+
+- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md
+
+- original_repo: Tatoeba-Challenge
+
+- tags: ['translation']
+
+- languages: ['id', 'cpp', 'en']
+
+- src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
+
+- tgt_constituents: {'eng'}
+
+- src_multilingual: True
+
+- tgt_multilingual: False
+
+- prepro:  normalization + SentencePiece (spm32k,spm32k)
+
+- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip
+
+- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt
+
+- src_alpha3: cpp
+
+- tgt_alpha3: eng
+
+- short_pair: cpp-en
+
+- chrF2_score: 0.58
+
+- bleu: 39.7
+
+- brevity_penalty: 0.972
+
+- ref_len: 37399.0
+
+- src_name: Creoles and pidgins, Portuguese-based
+
+- tgt_name: English
+
+- train_date: 2020-07-31
+
+- src_alpha2: cpp
+
+- tgt_alpha2: en
+
+- prefer_old: False
+
+- long_pair: cpp-eng
+
+- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
+
+- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
+
+- port_machine: brutasse
+
+- port_time: 2020-08-21-14:41

config.json

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+{
+  "_name_or_path": "/tmp/Helsinki-NLP/opus-mt-cpp-en",
+  "activation_dropout": 0.0,
+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      57789
+    ]
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 57789,
+  "decoder_vocab_size": 57790,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 0,
+  "extra_pos_embeddings": 57790,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": 512,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 57789,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "transformers_version": "4.22.0.dev0",
+  "use_cache": true,
+  "vocab_size": 57790
+}

generation_config.json

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+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 57789,
+  "renormalize_logits": true,
+  "transformers_version": "4.32.0.dev0"
+}

metadata.json

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+{"hf_name":"cpp-eng","source_languages":"cpp","target_languages":"eng","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/cpp-eng\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["id","cpp","en"],"src_constituents":["zsm_Latn","ind","pap","min","tmw_Latn","max_Latn","zlm_Latn"],"tgt_constituents":["eng"],"src_multilingual":true,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cpp-eng\/opus2m-2020-07-31.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cpp-eng\/opus2m-2020-07-31.test.txt","src_alpha3":"cpp","tgt_alpha3":"eng","short_pair":"cpp-en","chrF2_score":0.58,"bleu":39.7,"brevity_penalty":0.972,"ref_len":37399.0,"src_name":"Creoles and pidgins, Portuguese-based","tgt_name":"English","train_date":"2020-07-31","src_alpha2":"cpp","tgt_alpha2":"en","prefer_old":false,"long_pair":"cpp-eng","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}

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