Sentence Similarity
sentence-transformers
ONNX
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:8000
loss:MatryoshkaLoss
loss:CachedMultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use rztk-bohdanbilonoh/multilingual-e5-base-matryoshka2d-cached-mnr-multiple-datasets-base-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rztk-bohdanbilonoh/multilingual-e5-base-matryoshka2d-cached-mnr-multiple-datasets-base-1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rztk-bohdanbilonoh/multilingual-e5-base-matryoshka2d-cached-mnr-multiple-datasets-base-1") sentences = [ "query: цвітні олівці", "passage: Новорічна дерев'яна ялинкова іграшка \"Дракон в рожевій шапці з подарунком 2024\" 10х6,5х0,5 см Зелений (60005) Ялинкові іграшки Без бренда Колір Зелений Висота фігурки 10 см Матеріал Дерево Кількість предметів, шт 1 Країна-виробник товару Україна Теги ялинкові іграшки недорого Кріплення На нитці", "passage: Підводка-фломастер для очей Luxvisage Matt tatoo waterproof 24H smudgeproof (4811329031387) Підводка для очей Luxvisage Клас косметики Натуральна Стать Для жінок Країна-виробник товару Білорусь Сфера застосування Обличчя Призначення Для смокі-айс Ефект Матова Колір Чорний", "passage: Олівці кольорові Marco Superb Writer Gold 24 кольори (4100G-24CB) Кольорові олівці Marco Гарантія 14 днів Кількість кольорів 24 Матеріал корпусу олівця Дерево Кількість вантажних місць 1 Країна реєстрації бренда Україна Країна-виробник товару Китай Тип гарантійного талона Без гарантійного талона Доставка Premium Доставка Готовий до відправлення Доставка Доставка в магазини ROZETKA" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add onnx model export
Browse files- .gitattributes +2 -0
- 1_Pooling/config.json +10 -0
- README.md +0 -0
- config.json +27 -0
- config_sentence_transformers.json +13 -0
- eval/Information-Retrieval_evaluation_jargonisms-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_jargonisms-uk--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_options-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_options-uk--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_rusisms-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_rusisms-uk--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_test-core-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_test-core-uk--matryoshka_dim-768--_results.csv +7 -0
- eval/Information-Retrieval_evaluation_transliterations-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_transliterations-uk--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_typos-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_typos-uk--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_vespa-ru--matryoshka_dim-768--_results.csv +4 -0
- eval/Information-Retrieval_evaluation_vespa-uk--matryoshka_dim-768--_results.csv +4 -0
- model.safetensors +3 -0
- modules.json +20 -0
- onnx/config.json +29 -0
- onnx/model.onnx +3 -0
- onnx/sentencepiece.bpe.model +3 -0
- onnx/special_tokens_map.json +51 -0
- onnx/tokenizer.json +3 -0
- onnx/tokenizer_config.json +62 -0
- sentence_bert_config.json +4 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +62 -0
- training_args.bin +3 -0
.gitattributes
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onnx/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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config.json
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{
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.50.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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{
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"__version__": {
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"sentence_transformers": "4.0.1",
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"transformers": "4.50.3",
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"pytorch": "2.6.0+cu124"
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},
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"prompts": {
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"query": "query: ",
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"text": "passage: "
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},
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"default_prompt_name": null,
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"similarity_fn_name": "dot"
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eval/Information-Retrieval_evaluation_jargonisms-ru--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_rusisms-ru--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_rusisms-uk--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_test-core-ru--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_test-core-uk--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_transliterations-ru--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_transliterations-uk--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_typos-ru--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_typos-uk--matryoshka_dim-768--_results.csv
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eval/Information-Retrieval_evaluation_vespa-ru--matryoshka_dim-768--_results.csv
ADDED
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eval/Information-Retrieval_evaluation_vespa-uk--matryoshka_dim-768--_results.csv
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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modules.json
ADDED
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| 18 |
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| 19 |
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onnx/config.json
ADDED
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@@ -0,0 +1,29 @@
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"_attn_implementation_autoset": true,
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|
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|
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|
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|
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|
| 18 |
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|
| 19 |
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|
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|
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|
| 22 |
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| 23 |
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|
| 24 |
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|
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|
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| 27 |
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|
| 28 |
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|
| 29 |
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|
onnx/model.onnx
ADDED
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onnx/sentencepiece.bpe.model
ADDED
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onnx/special_tokens_map.json
ADDED
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| 8 |
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| 24 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 37 |
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| 38 |
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|
| 50 |
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onnx/tokenizer.json
ADDED
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onnx/tokenizer_config.json
ADDED
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| 34 |
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|
| 37 |
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|
| 42 |
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| 43 |
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| 44 |
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|
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| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
sentence_bert_config.json
ADDED
|
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| 1 |
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|
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|
| 4 |
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sentencepiece.bpe.model
ADDED
|
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special_tokens_map.json
ADDED
|
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|
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|
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|
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| 31 |
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|
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|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085
|
| 3 |
+
size 17082987
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,62 @@
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|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "<mask>",
|
| 50 |
+
"max_length": 512,
|
| 51 |
+
"model_max_length": 512,
|
| 52 |
+
"pad_to_multiple_of": null,
|
| 53 |
+
"pad_token": "<pad>",
|
| 54 |
+
"pad_token_type_id": 0,
|
| 55 |
+
"padding_side": "right",
|
| 56 |
+
"sep_token": "</s>",
|
| 57 |
+
"stride": 0,
|
| 58 |
+
"tokenizer_class": "XLMRobertaTokenizerFast",
|
| 59 |
+
"truncation_side": "right",
|
| 60 |
+
"truncation_strategy": "longest_first",
|
| 61 |
+
"unk_token": "<unk>"
|
| 62 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc638c6504d821de88fabdd84c289c9b10418c4a65f2a5d7b2b979ca77d6daa6
|
| 3 |
+
size 5944
|