Adding generation config file(s)

- Model Card (ed0317f25efd4f02ddd14874740600b267cb3a76)


Co-authored-by: Ezi Ozoani <Ezi@users.noreply.huggingface.co>

README.md

@@ -1,22 +1,65 @@
 ---
 tags:
 - translation
+license: cc-by-4.0
 ---
 
 ### opus-mt-ru-en
 
-* 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)
+## 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
 
-*  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 |
 |-----------------------|-------|-------|
@@ -30,3 +73,24 @@ tags:
 | 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

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "/tmp/Helsinki-NLP/opus-mt-ru-en",
   "_num_labels": 3,
   "activation_dropout": 0.0,
   "activation_function": "swish",
@@ -15,18 +16,21 @@
   ],
   "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",
@@ -48,6 +52,9 @@
   "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

@@ -0,0 +1,16 @@
+{
+  "_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"
+}