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

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README.md

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+---
+language: 
+- fr
+- ar
+
+tags:
+- translation
+
+license: apache-2.0
+---
+
+### fra-ara
+
+* source group: French 
+* target group: Arabic 
+*  OPUS readme: [fra-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md)
+
+*  model: transformer
+* source language(s): fra
+* target language(s): apc ara arq arq_Latn ary arz
+* model: transformer
+* pre-processing: normalization + SentencePiece (spm32k,spm32k)
+* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
+* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip)
+* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt)
+* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.eval.txt)
+
+## Benchmarks
+
+| testset               | BLEU  | chr-F |
+|-----------------------|-------|-------|
+| Tatoeba-test.fra.ara 	| 14.4 	| 0.439 |
+
+
+### System Info: 
+- hf_name: fra-ara
+
+- source_languages: fra
+
+- target_languages: ara
+
+- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md
+
+- original_repo: Tatoeba-Challenge
+
+- tags: ['translation']
+
+- languages: ['fr', 'ar']
+
+- src_constituents: {'fra'}
+
+- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
+
+- src_multilingual: False
+
+- tgt_multilingual: False
+
+- prepro:  normalization + SentencePiece (spm32k,spm32k)
+
+- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip
+
+- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt
+
+- src_alpha3: fra
+
+- tgt_alpha3: ara
+
+- short_pair: fr-ar
+
+- chrF2_score: 0.439
+
+- bleu: 14.4
+
+- brevity_penalty: 1.0
+
+- ref_len: 7956.0
+
+- src_name: French
+
+- tgt_name: Arabic
+
+- train_date: 2020-07-03
+
+- src_alpha2: fr
+
+- tgt_alpha2: ar
+
+- prefer_old: False
+
+- long_pair: fra-ara
+
+- 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-fr-ar",
+  "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": [
+    [
+      62418
+    ]
+  ],
+  "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": 62418,
+  "decoder_vocab_size": 62419,
+  "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": 62419,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "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": 62418,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "transformers_version": "4.22.0.dev0",
+  "use_cache": true,
+  "vocab_size": 62419
+}

generation_config.json

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+{
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+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 62418,
+  "renormalize_logits": true,
+  "transformers_version": "4.32.0.dev0"
+}

metadata.json

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+{"hf_name":"fra-ara","source_languages":"fra","target_languages":"ara","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/fra-ara\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["fr","ar"],"src_constituents":["fra"],"tgt_constituents":["apc","ara","arq_Latn","arq","afb","ara_Latn","apc_Latn","arz"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/fra-ara\/opus-2020-07-03.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/fra-ara\/opus-2020-07-03.test.txt","src_alpha3":"fra","tgt_alpha3":"ara","short_pair":"fr-ar","chrF2_score":0.439,"bleu":14.4,"brevity_penalty":1.0,"ref_len":7956.0,"src_name":"French","tgt_name":"Arabic","train_date":"2020-07-03","src_alpha2":"fr","tgt_alpha2":"ar","prefer_old":false,"long_pair":"fra-ara","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}

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tokenizer_config.json

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