Initial commit

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.spm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,337 @@
+---
+language:
+- es
+- fr
+- he
+- it
+- itc
+- pt
+- xx
+language_bcp47:
+- es
+- fr
+- he
+- it
+- itc
+- pt
+
+tags:
+- translation
+- opus-mt-tc
+
+license: cc-by-4.0
+model-index:
+- name: opus-mt-tc-big-itc-he
+  results:
+  - task:
+      name: Translation cat-heb
+      type: translation
+      args: cat-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: cat heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.0
+       - name: chr-F
+         type: chrf
+         value: 0.52457
+  - task:
+      name: Translation fra-heb
+      type: translation
+      args: fra-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fra heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.2
+       - name: chr-F
+         type: chrf
+         value: 0.52953
+  - task:
+      name: Translation glg-heb
+      type: translation
+      args: glg-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: glg heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.8
+       - name: chr-F
+         type: chrf
+         value: 0.50918
+  - task:
+      name: Translation ita-heb
+      type: translation
+      args: ita-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ita heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.3
+       - name: chr-F
+         type: chrf
+         value: 0.49007
+  - task:
+      name: Translation por-heb
+      type: translation
+      args: por-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: por heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+       - name: chr-F
+         type: chrf
+         value: 0.53906
+  - task:
+      name: Translation ron-heb
+      type: translation
+      args: ron-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ron heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.1
+       - name: chr-F
+         type: chrf
+         value: 0.52103
+  - task:
+      name: Translation spa-heb
+      type: translation
+      args: spa-heb
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: spa heb devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.5
+       - name: chr-F
+         type: chrf
+         value: 0.47646
+  - task:
+      name: Translation fra-heb
+      type: translation
+      args: fra-heb
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fra-heb
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 39.6
+       - name: chr-F
+         type: chrf
+         value: 0.60539
+  - task:
+      name: Translation ita-heb
+      type: translation
+      args: ita-heb
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ita-heb
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 40.0
+       - name: chr-F
+         type: chrf
+         value: 0.60264
+  - task:
+      name: Translation por-heb
+      type: translation
+      args: por-heb
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: por-heb
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 44.4
+       - name: chr-F
+         type: chrf
+         value: 0.63087
+  - task:
+      name: Translation spa-heb
+      type: translation
+      args: spa-heb
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: spa-heb
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 44.5
+       - name: chr-F
+         type: chrf
+         value: 0.63883
+---
+# opus-mt-tc-big-itc-he
+
+## Table of Contents
+- [Model Details](#model-details)
+- [Uses](#uses)
+- [Risks, Limitations and Biases](#risks-limitations-and-biases)
+- [How to Get Started With the Model](#how-to-get-started-with-the-model)
+- [Training](#training)
+- [Evaluation](#evaluation)
+- [Citation Information](#citation-information)
+- [Acknowledgements](#acknowledgements)
+
+## Model Details
+
+Neural machine translation model for translating from Italic languages (itc) to Hebrew (he).
+
+This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
+**Model Description:**
+- **Developed by:** Language Technology Research Group at the University of Helsinki
+- **Model Type:** Translation (transformer-big)
+- **Release**: 2022-08-03
+- **License:** CC-BY-4.0
+- **Language(s):**  
+  - Source Language(s): fra ita lad_Latn por spa
+  - Target Language(s): heb
+- **Original Model**: [opusTCv20210807_transformer-big_2022-08-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-heb/opusTCv20210807_transformer-big_2022-08-03.zip)
+- **Resources for more information:**
+  - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+  - More information about released models for this language pair: [OPUS-MT itc-heb README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-heb/README.md)
+  - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
+  - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/
+
+## Uses
+
+This model can be used for translation and text-to-text generation.
+
+## Risks, Limitations and Biases
+
+**CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.**
+
+Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
+
+## How to Get Started With the Model
+
+A short example code:
+
+```python
+from transformers import MarianMTModel, MarianTokenizer
+
+src_text = [
+    "La María és feminista.",
+    "Contribuyan en Tatoeba."
+]
+
+model_name = "pytorch-models/opus-mt-tc-big-itc-he"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
+
+for t in translated:
+    print( tokenizer.decode(t, skip_special_tokens=True) )
+
+# expected output:
+#     מרי היא פמיניסטית.
+#     תרום לטאטואבה.
+```
+
+You can also use OPUS-MT models with the transformers pipelines, for example:
+
+```python
+from transformers import pipeline
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-itc-he")
+print(pipe("La María és feminista."))
+
+# expected output: מרי היא פמיניסטית.
+```
+
+## Training
+
+- **Data**: opusTCv20210807 ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
+- **Pre-processing**: SentencePiece (spm32k,spm32k)
+- **Model Type:**  transformer-big
+- **Original MarianNMT Model**: [opusTCv20210807_transformer-big_2022-08-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-heb/opusTCv20210807_transformer-big_2022-08-03.zip)
+- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+
+## Evaluation
+
+* test set translations: [opusTCv20210807_transformer-big_2022-08-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-heb/opusTCv20210807_transformer-big_2022-08-03.test.txt)
+* test set scores: [opusTCv20210807_transformer-big_2022-08-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-heb/opusTCv20210807_transformer-big_2022-08-03.eval.txt)
+* benchmark results: [benchmark_results.txt](benchmark_results.txt)
+* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
+
+| langpair | testset | chr-F | BLEU  | #sent | #words |
+|----------|---------|-------|-------|-------|--------|
+| fra-heb | tatoeba-test-v2021-08-07 | 0.60539 | 39.6 | 3281 | 20655 |
+| ita-heb | tatoeba-test-v2021-08-07 | 0.60264 | 40.0 | 1706 | 9796 |
+| por-heb | tatoeba-test-v2021-08-07 | 0.63087 | 44.4 | 719 | 4423 |
+| spa-heb | tatoeba-test-v2021-08-07 | 0.63883 | 44.5 | 1849 | 12112 |
+| cat-heb | flores101-devtest | 0.52457 | 23.0 | 1012 | 20749 |
+| fra-heb | flores101-devtest | 0.52953 | 23.2 | 1012 | 20749 |
+| glg-heb | flores101-devtest | 0.50918 | 20.8 | 1012 | 20749 |
+| ita-heb | flores101-devtest | 0.49007 | 18.3 | 1012 | 20749 |
+| por-heb | flores101-devtest | 0.53906 | 24.4 | 1012 | 20749 |
+| ron-heb | flores101-devtest | 0.52103 | 22.1 | 1012 | 20749 |
+| spa-heb | flores101-devtest | 0.47646 | 16.5 | 1012 | 20749 |
+
+## Citation Information
+
+* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+
+```
+@inproceedings{tiedemann-thottingal-2020-opus,
+    title = "{OPUS}-{MT} {--} Building open translation services for the World",
+    author = {Tiedemann, J{\"o}rg  and Thottingal, Santhosh},
+    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Lisboa, Portugal",
+    publisher = "European Association for Machine Translation",
+    url = "https://aclanthology.org/2020.eamt-1.61",
+    pages = "479--480",
+}
+
+@inproceedings{tiedemann-2020-tatoeba,
+    title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
+    author = {Tiedemann, J{\"o}rg},
+    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.wmt-1.139",
+    pages = "1174--1182",
+}
+```
+
+## Acknowledgements
+
+The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
+
+## Model conversion info
+
+* transformers version: 4.16.2
+* OPUS-MT git hash: 8b9f0b0
+* port time: Fri Aug 12 15:27:58 EEST 2022
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,22 @@
+cat-heb	flores101-dev	0.52145	22.7	997	19946
+fra-heb	flores101-dev	0.51815	22.5	997	19946
+glg-heb	flores101-dev	0.50935	21.4	997	19946
+ita-heb	flores101-dev	0.48319	17.4	997	19946
+por-heb	flores101-dev	0.53251	24.0	997	19946
+ron-heb	flores101-dev	0.51691	21.7	997	19946
+spa-heb	flores101-dev	0.46577	15.9	997	19946
+cat-heb	flores101-devtest	0.52457	23.0	1012	20749
+fra-heb	flores101-devtest	0.52953	23.2	1012	20749
+glg-heb	flores101-devtest	0.50918	20.8	1012	20749
+ita-heb	flores101-devtest	0.49007	18.3	1012	20749
+por-heb	flores101-devtest	0.53906	24.4	1012	20749
+ron-heb	flores101-devtest	0.52103	22.1	1012	20749
+spa-heb	flores101-devtest	0.47646	16.5	1012	20749
+por-heb	tatoeba-test-v2020-07-28	0.63058	44.5	702	4341
+lad-heb	tatoeba-test-v2021-03-30	0.31596	10.3	237	1165
+por-heb	tatoeba-test-v2021-03-30	0.62960	44.4	735	4533
+fra-heb	tatoeba-test-v2021-08-07	0.60539	39.6	3281	20655
+ita-heb	tatoeba-test-v2021-08-07	0.60264	40.0	1706	9796
+lad-heb	tatoeba-test-v2021-08-07	0.30729	10.5	218	1086
+por-heb	tatoeba-test-v2021-08-07	0.63087	44.4	719	4423
+spa-heb	tatoeba-test-v2021-08-07	0.63883	44.5	1849	12112

benchmark_translations.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8c9dc392675689a41756e93a09ecfbe28ffafd95211cdffdf08bcdf51532ff4
+size 2730497

config.json

@@ -0,0 +1,45 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      61114
+    ]
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 61114,
+  "decoder_vocab_size": 61115,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 26900,
+  "forced_eos_token_id": 26900,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 512,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 61114,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.18.0.dev0",
+  "use_cache": true,
+  "vocab_size": 61115
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0049f8d0e32457fbe23806ee38bf0b35ea7777bbe1a83bd404e169be60d1316
+size 603255683

source.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1948ea948efe877821ede2f6e625efe1eb9be7ffbfbf0f8bb6deec699e64cf9
+size 805503

special_tokens_map.json

@@ -0,0 +1 @@
+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

target.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:101a1667270e4b800d269ec1bdbf8bf80b840bd1877887a9c07dffdb2ad0adbb
+size 878443

tokenizer_config.json

@@ -0,0 +1 @@
+{"source_lang": "itc", "target_lang": "he", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "special_tokens_map_file": null, "name_or_path": "marian-models/opusTCv20210807_transformer-big_2022-08-03/itc-he", "tokenizer_class": "MarianTokenizer"}