tiedeman commited on
Commit
b80b664
1 Parent(s): bd30c26

Initial commit

Browse files
README.md ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - it
4
+ - he
5
+
6
+ tags:
7
+ - translation
8
+
9
+ license: apache-2.0
10
+ ---
11
+ ### it-he
12
+
13
+ * source group: Italian
14
+ * target group: Hebrew
15
+ * OPUS readme: [ita-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-heb/README.md)
16
+
17
+ * model: transformer
18
+ * source language(s): ita
19
+ * target language(s): heb
20
+ * model: transformer
21
+ * pre-processing: normalization + SentencePiece (spm32k,spm32k)
22
+ * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.zip)
23
+ * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt)
24
+ * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.eval.txt)
25
+
26
+ ## Benchmarks
27
+
28
+ | testset | BLEU | chr-F |
29
+ |-----------------------|-------|-------|
30
+ | Tatoeba-test.ita.heb | 38.5 | 0.593 |
31
+
32
+
33
+ ### System Info:
34
+ - hf_name: it-he
35
+
36
+ - source_languages: ita
37
+
38
+ - target_languages: heb
39
+
40
+ - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-heb/README.md
41
+
42
+ - original_repo: Tatoeba-Challenge
43
+
44
+ - tags: ['translation']
45
+
46
+ - languages: ['it', 'he']
47
+
48
+ - src_constituents: ('Italian', {'ita'})
49
+
50
+ - tgt_constituents: ('Hebrew', {'heb'})
51
+
52
+ - src_multilingual: False
53
+
54
+ - tgt_multilingual: False
55
+
56
+ - long_pair: ita-heb
57
+
58
+ - prepro: normalization + SentencePiece (spm32k,spm32k)
59
+
60
+ - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.zip
61
+
62
+ - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt
63
+
64
+ - src_alpha3: ita
65
+
66
+ - tgt_alpha3: heb
67
+
68
+ - chrF2_score: 0.593
69
+
70
+ - bleu: 38.5
71
+
72
+ - brevity_penalty: 0.985
73
+
74
+ - ref_len: 9796.0
75
+
76
+ - src_name: Italian
77
+
78
+ - tgt_name: Hebrew
79
+
80
+ - train_date: 2020-12-10 00:00:00
81
+
82
+ - src_alpha2: it
83
+
84
+ - tgt_alpha2: he
85
+
86
+ - prefer_old: False
87
+
88
+ - short_pair: it-he
89
+
90
+ - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
91
+
92
+ - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
93
+
94
+ - port_machine: LM0-400-22516.local
95
+
96
+ - port_time: 2020-12-11-16:02
config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation_dropout": 0.0,
3
+ "activation_function": "swish",
4
+ "add_bias_logits": false,
5
+ "add_final_layer_norm": false,
6
+ "architectures": [
7
+ "MarianMTModel"
8
+ ],
9
+ "attention_dropout": 0.0,
10
+ "bad_words_ids": [
11
+ [
12
+ 63129
13
+ ]
14
+ ],
15
+ "bos_token_id": 0,
16
+ "classifier_dropout": 0.0,
17
+ "d_model": 512,
18
+ "decoder_attention_heads": 8,
19
+ "decoder_ffn_dim": 2048,
20
+ "decoder_layerdrop": 0.0,
21
+ "decoder_layers": 6,
22
+ "decoder_start_token_id": 63129,
23
+ "do_blenderbot_90_layernorm": false,
24
+ "dropout": 0.1,
25
+ "encoder_attention_heads": 8,
26
+ "encoder_ffn_dim": 2048,
27
+ "encoder_layerdrop": 0.0,
28
+ "encoder_layers": 6,
29
+ "eos_token_id": 0,
30
+ "extra_pos_embeddings": 2,
31
+ "force_bos_token_to_be_generated": false,
32
+ "id2label": {
33
+ "0": "LABEL_0",
34
+ "1": "LABEL_1",
35
+ "2": "LABEL_2"
36
+ },
37
+ "init_std": 0.02,
38
+ "is_encoder_decoder": true,
39
+ "label2id": {
40
+ "LABEL_0": 0,
41
+ "LABEL_1": 1,
42
+ "LABEL_2": 2
43
+ },
44
+ "max_length": 512,
45
+ "max_position_embeddings": 512,
46
+ "model_type": "marian",
47
+ "normalize_before": false,
48
+ "normalize_embedding": false,
49
+ "num_beams": 6,
50
+ "num_hidden_layers": 6,
51
+ "pad_token_id": 63129,
52
+ "scale_embedding": true,
53
+ "static_position_embeddings": true,
54
+ "use_cache": true,
55
+ "vocab_size": 63130
56
+ }
metadata.json ADDED
@@ -0,0 +1 @@
 
1
+ {"hf_name":"it-he","source_languages":"ita","target_languages":"heb","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/ita-heb\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["it","he"],"src_constituents":["Italian",["ita"]],"tgt_constituents":["Hebrew",["heb"]],"src_multilingual":false,"tgt_multilingual":false,"long_pair":"ita-heb","prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ita-heb\/opus-2020-12-10.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ita-heb\/opus-2020-12-10.test.txt","src_alpha3":"ita","tgt_alpha3":"heb","chrF2_score":0.593,"bleu":38.5,"brevity_penalty":0.985,"ref_len":9796.0,"src_name":"Italian","tgt_name":"Hebrew","train_date":1607558400000,"src_alpha2":"it","tgt_alpha2":"he","prefer_old":false,"short_pair":"it-he","helsinki_git_sha":"b317f78a3ec8a556a481b6a53dc70dc11769ca96","transformers_git_sha":"1310e1a758edc8e89ec363db76863c771fbeb1de","port_machine":"LM0-400-22516.local","port_time":"2020-12-11-16:02"}
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf021b0f024caf716cd60857051e565bafa7bee2e08885a087ef4759e92d6522
3
+ size 153136027
source.spm ADDED
Binary file (825 kB). View file
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
1
+ {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
target.spm ADDED
Binary file (896 kB). View file
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
1
+ {"source_lang": "ita", "target_lang": "heb", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "marian_ckpt/ita-heb"}
vocab.json ADDED
The diff for this file is too large to render. See raw diff