README.md

@@ -1,65 +1,22 @@
 ---
 tags:
 - translation
-license: cc-by-4.0
 ---
 
 ### opus-mt-ru-en
 
-## Table of Contents
-- [Model Details](#model-details)
-- [Uses](#uses)
-- [Risks, Limitations and Biases](#risks-limitations-and-biases)
-- [Training](#training)
-- [Evaluation](#evaluation)
-- [Citation Information](#citation-information)
-- [How to Get Started With the Model](#how-to-get-started-with-the-model)
-
-## Model Details
-**Model Description:**
-- **Developed by:** Language Technology Research Group at the University of Helsinki
-- **Model Type:** Transformer-align
-- **Language(s):**  
-  - Source Language: Russian
-  - Target Language: English
-- **License:** CC-BY-4.0
-- **Resources for more information:**
-  - [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
-
-
-
-## Uses
-
-#### Direct Use
-
-This model can be used for translation and text-to-text generation.
-
-
-## Risks, Limitations and Biases
-
-**CONTENT WARNING: Readers should be aware this section contains 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)).
-
-Further details about the dataset for this model can be found in the OPUS readme: [ru-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-en/README.md)
-
-## Training
-#### Training Data
-##### Preprocessing
-* Pre-processing: Normalization + SentencePiece
-* Dataset: [opus](https://github.com/Helsinki-NLP/Opus-MT)
-* Download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.zip)
-
-* Test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.test.txt)
-
-
-## Evaluation
-
-#### Results
+* source languages: ru
+* target languages: en
+*  OPUS readme: [ru-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-en/README.md)
 
+*  dataset: opus
+* model: transformer-align
+* pre-processing: normalization + SentencePiece
+* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.zip)
+* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.test.txt)
 * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.eval.txt)
 
-#### Benchmarks
+## Benchmarks
 
 | testset               | BLEU  | chr-F |
 |-----------------------|-------|-------|
@@ -73,24 +30,3 @@ Further details about the dataset for this model can be found in the OPUS readme
 | newstest2019-ruen.ru.en 	| 31.4 	| 0.576 |
 | Tatoeba.ru.en 	| 61.1 	| 0.736 |
 
-## Citation Information
-
-```bibtex
-@InProceedings{TiedemannThottingal:EAMT2020,
-  author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
-  title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
-  booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
-  year = {2020},
-  address = {Lisbon, Portugal}
- }
-```
-
-## How to Get Started With the Model
-
-```python
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-en")
-
-model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-en")
-```

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "/tmp/Helsinki-NLP/opus-mt-ru-en",
   "_num_labels": 3,
   "activation_dropout": 0.0,
   "activation_function": "swish",
@@ -16,21 +15,18 @@
   ],
   "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": 62517,
-  "decoder_vocab_size": 62518,
   "dropout": 0.1,
   "encoder_attention_heads": 8,
   "encoder_ffn_dim": 2048,
   "encoder_layerdrop": 0.0,
   "encoder_layers": 6,
   "eos_token_id": 0,
-  "forced_eos_token_id": 0,
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
@@ -52,9 +48,6 @@
   "num_hidden_layers": 6,
   "pad_token_id": 62517,
   "scale_embedding": true,
-  "share_encoder_decoder_embeddings": true,
   "static_position_embeddings": true,
-  "transformers_version": "4.22.0.dev0",
-  "use_cache": true,
   "vocab_size": 62518
 }

generation_config.json

@@ -1,16 +0,0 @@
-{
-  "_from_model_config": true,
-  "bad_words_ids": [
-    [
-      62517
-    ]
-  ],
-  "bos_token_id": 0,
-  "decoder_start_token_id": 62517,
-  "eos_token_id": 0,
-  "forced_eos_token_id": 0,
-  "max_length": 512,
-  "num_beams": 6,
-  "pad_token_id": 62517,
-  "transformers_version": "4.27.0.dev0"
-}