{MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
pip install -U sentence-transformers
Then you can use the model like this:
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)
Evaluation Results
For an automated evaluation of this model, see the Sentence Embeddings Benchmark: https://seb.sbert.net
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: RobertaModel
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
(2): Normalize()
)
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Evaluation results
- cos_sim_pearson on MTEB BIOSSEStest set self-reported62.462
- cos_sim_spearman on MTEB BIOSSEStest set self-reported59.046
- euclidean_pearson on MTEB BIOSSEStest set self-reported60.118
- euclidean_spearman on MTEB BIOSSEStest set self-reported59.046
- manhattan_pearson on MTEB BIOSSEStest set self-reported59.676
- manhattan_spearman on MTEB BIOSSEStest set self-reported59.103
- cos_sim_pearson on MTEB SICK-Rtest set self-reported69.543
- cos_sim_spearman on MTEB SICK-Rtest set self-reported62.859
- euclidean_pearson on MTEB SICK-Rtest set self-reported65.695
- euclidean_spearman on MTEB SICK-Rtest set self-reported62.859
- manhattan_pearson on MTEB SICK-Rtest set self-reported65.660
- manhattan_spearman on MTEB SICK-Rtest set self-reported62.829
- cos_sim_pearson on MTEB STS12test set self-reported66.064
- cos_sim_spearman on MTEB STS12test set self-reported62.590
- euclidean_pearson on MTEB STS12test set self-reported62.786
- euclidean_spearman on MTEB STS12test set self-reported62.589
- manhattan_pearson on MTEB STS12test set self-reported62.827
- manhattan_spearman on MTEB STS12test set self-reported62.618
- cos_sim_pearson on MTEB STS13test set self-reported71.864
- cos_sim_spearman on MTEB STS13test set self-reported72.135
- euclidean_pearson on MTEB STS13test set self-reported71.680
- euclidean_spearman on MTEB STS13test set self-reported72.135
- manhattan_pearson on MTEB STS13test set self-reported71.665
- manhattan_spearman on MTEB STS13test set self-reported72.091
- cos_sim_pearson on MTEB STS14test set self-reported70.227
- cos_sim_spearman on MTEB STS14test set self-reported67.082
- euclidean_pearson on MTEB STS14test set self-reported68.245
- euclidean_spearman on MTEB STS14test set self-reported67.082
- manhattan_pearson on MTEB STS14test set self-reported68.232
- manhattan_spearman on MTEB STS14test set self-reported67.070
- cos_sim_pearson on MTEB STS15test set self-reported75.549
- cos_sim_spearman on MTEB STS15test set self-reported75.938
- euclidean_pearson on MTEB STS15test set self-reported75.106
- euclidean_spearman on MTEB STS15test set self-reported75.938
- manhattan_pearson on MTEB STS15test set self-reported75.123
- manhattan_spearman on MTEB STS15test set self-reported75.958
- cos_sim_pearson on MTEB STS16test set self-reported70.229
- cos_sim_spearman on MTEB STS16test set self-reported70.134
- euclidean_pearson on MTEB STS16test set self-reported69.669
- euclidean_spearman on MTEB STS16test set self-reported70.134
- manhattan_pearson on MTEB STS16test set self-reported69.670
- manhattan_spearman on MTEB STS16test set self-reported70.164
- cos_sim_pearson on MTEB STS17 (en-en)test set self-reported77.123
- cos_sim_spearman on MTEB STS17 (en-en)test set self-reported77.134
- euclidean_pearson on MTEB STS17 (en-en)test set self-reported77.731
- euclidean_spearman on MTEB STS17 (en-en)test set self-reported77.134
- manhattan_pearson on MTEB STS17 (en-en)test set self-reported77.590
- manhattan_spearman on MTEB STS17 (en-en)test set self-reported77.002
- cos_sim_pearson on MTEB STS22 (en)test set self-reported60.403
- cos_sim_spearman on MTEB STS22 (en)test set self-reported62.220
- euclidean_pearson on MTEB STS22 (en)test set self-reported63.085
- euclidean_spearman on MTEB STS22 (en)test set self-reported62.220
- manhattan_pearson on MTEB STS22 (en)test set self-reported62.972
- manhattan_spearman on MTEB STS22 (en)test set self-reported62.171
- cos_sim_pearson on MTEB STSBenchmarktest set self-reported69.141
- cos_sim_spearman on MTEB STSBenchmarktest set self-reported67.839
- euclidean_pearson on MTEB STSBenchmarktest set self-reported68.329
- euclidean_spearman on MTEB STSBenchmarktest set self-reported67.839
- manhattan_pearson on MTEB STSBenchmarktest set self-reported68.385
- manhattan_spearman on MTEB STSBenchmarktest set self-reported67.866