stjiris
/

bert-large-portuguese-cased-legal-mlm-nli-sts-v0

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

text-embeddings-inference

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rufimelo commited on Jan 10, 2023

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@@ -50,7 +50,7 @@ Thesis: [A Semantic Search System for Supremo Tribunal de Justiça](https://rufi
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 stjiris/bert-large-portuguese-cased-legal-mlm-nli-sts-v0 derives from stjiris/bert-large-portuguese-cased-legal-mlm (legal variant of [BERTimbau](https://huggingface.co/neuralmind/bert-large-portuguese-cased) large).
-It was trained using the MLM technique with a learning rate 1e-5 [Legal Sentences from +-30000 documents](https://huggingface.co/datasets/stjiris/portuguese-legal-sentences-v1.0) 5300 training steps (best performance for our semantic search system implementation)
 The model was presented to NLI data. 16 batch size,  2e-5 lr

 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 stjiris/bert-large-portuguese-cased-legal-mlm-nli-sts-v0 derives from stjiris/bert-large-portuguese-cased-legal-mlm (legal variant of [BERTimbau](https://huggingface.co/neuralmind/bert-large-portuguese-cased) large).
+It was trained using the MLM technique with a learning rate 1e-5 [Legal Sentences from +-30000 documents](https://huggingface.co/datasets/stjiris/portuguese-legal-sentences-v1.0) 15000 training steps (best performance for our semantic search system implementation)
 The model was presented to NLI data. 16 batch size,  2e-5 lr