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README.md

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+---
+language: 
+- es
+- en
+
+tags:
+- translation
+
+license: apache-2.0
+---
+
+### spa-eng
+
+* source group: Spanish 
+* target group: English 
+*  OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md)
+
+*  model: transformer
+* source language(s): spa
+* target language(s): eng
+* model: transformer
+* pre-processing: normalization + SentencePiece (spm32k,spm32k)
+* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip)
+* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt)
+* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt)
+
+## Benchmarks
+
+| testset               | BLEU  | chr-F |
+|-----------------------|-------|-------|
+| newssyscomb2009-spaeng.spa.eng 	| 30.6 	| 0.570 |
+| news-test2008-spaeng.spa.eng 	| 27.9 	| 0.553 |
+| newstest2009-spaeng.spa.eng 	| 30.4 	| 0.572 |
+| newstest2010-spaeng.spa.eng 	| 36.1 	| 0.614 |
+| newstest2011-spaeng.spa.eng 	| 34.2 	| 0.599 |
+| newstest2012-spaeng.spa.eng 	| 37.9 	| 0.624 |
+| newstest2013-spaeng.spa.eng 	| 35.3 	| 0.609 |
+| Tatoeba-test.spa.eng 	| 59.6 	| 0.739 |
+
+
+### System Info: 
+- hf_name: spa-eng
+
+- source_languages: spa
+
+- target_languages: eng
+
+- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md
+
+- original_repo: Tatoeba-Challenge
+
+- tags: ['translation']
+
+- languages: ['es', 'en']
+
+- src_constituents: {'spa'}
+
+- tgt_constituents: {'eng'}
+
+- src_multilingual: False
+
+- tgt_multilingual: False
+
+- prepro:  normalization + SentencePiece (spm32k,spm32k)
+
+- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip
+
+- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt
+
+- src_alpha3: spa
+
+- tgt_alpha3: eng
+
+- short_pair: es-en
+
+- chrF2_score: 0.7390000000000001
+
+- bleu: 59.6
+
+- brevity_penalty: 0.9740000000000001
+
+- ref_len: 79376.0
+
+- src_name: Spanish
+
+- tgt_name: English
+
+- train_date: 2020-08-18 00:00:00
+
+- src_alpha2: es
+
+- tgt_alpha2: en
+
+- prefer_old: False
+
+- long_pair: spa-eng
+
+- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
+
+- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
+
+- port_machine: brutasse
+
+- port_time: 2020-08-24-18:20

config.json

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+{
+  "_name_or_path": "/tmp/Helsinki-NLP/opus-mt-es-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": [
+    [
+      65000
+    ]
+  ],
+  "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": 65000,
+  "decoder_vocab_size": 65001,
+  "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": 65001,
+  "force_bos_token_to_be_generated": false,
+  "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": 65000,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "transformers_version": "4.22.0.dev0",
+  "use_cache": true,
+  "vocab_size": 65001
+}

metadata.json

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+{"hf_name":"spa-eng","source_languages":"spa","target_languages":"eng","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/spa-eng\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["es","en"],"src_constituents":["spa"],"tgt_constituents":["eng"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-eng\/opus-2020-08-18.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-eng\/opus-2020-08-18.test.txt","src_alpha3":"spa","tgt_alpha3":"eng","short_pair":"es-en","chrF2_score":0.739,"bleu":59.6,"brevity_penalty":0.974,"ref_len":79376.0,"src_name":"Spanish","tgt_name":"English","train_date":1597708800000,"src_alpha2":"es","tgt_alpha2":"en","prefer_old":false,"long_pair":"spa-eng","helsinki_git_sha":"d2f0910c89026c34a44e331e785dec1e0faa7b82","transformers_git_sha":"f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9","port_machine":"brutasse","port_time":"2020-08-24-18:20"}

pytorch_model.bin

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tokenizer_config.json

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+{"target_lang": "eng", "source_lang": "spa"}