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Legal-BERTimbau-sts-base-ma

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Portuguese
bert
feature-extraction
Eval Results
Inference Endpoints
text-embeddings-inference
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@@ -108,7 +108,7 @@ print(sentence_embeddings)
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  | Legal-BERTimbau-sts-base| 0.71457| 0.73545 | 0.72383|
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  | Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |
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  | Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|
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- | Legal-BERTimbau-sts-large| 0.76629| 0.82357 | |
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  | Legal-BERTimbau-sts-large-v2| 0.76299 | 0.81121|0.81726 |
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  | Legal-BERTimbau-sts-large-ma| 0.76195| 0.81622 | 0.82608|
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  | Legal-BERTimbau-sts-large-ma-v2| 0.7836| 0.8462| 0.8261|
@@ -119,7 +119,6 @@ print(sentence_embeddings)
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  | ---------------------------------------- | ---------- |---------- |---------- |
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  | paraphrase-multilingual-mpnet-base-v2| 0.71457| 0.79831 |0.83999 |
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  | paraphrase-multilingual-mpnet-base-v2 Fine-tuned with assin(s)| 0.77641|0.79831 |0.84575 |
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-
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  ## Training
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  rufimelo/Legal-BERTimbau-sts-base-ma is based on Legal-BERTimbau-base which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) base.
 
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  | Legal-BERTimbau-sts-base| 0.71457| 0.73545 | 0.72383|
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  | Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |
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  | Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|
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+ | Legal-BERTimbau-sts-large| 0.76629| 0.82357 | 0.79120|
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  | Legal-BERTimbau-sts-large-v2| 0.76299 | 0.81121|0.81726 |
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  | Legal-BERTimbau-sts-large-ma| 0.76195| 0.81622 | 0.82608|
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  | Legal-BERTimbau-sts-large-ma-v2| 0.7836| 0.8462| 0.8261|
 
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  | ---------------------------------------- | ---------- |---------- |---------- |
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  | paraphrase-multilingual-mpnet-base-v2| 0.71457| 0.79831 |0.83999 |
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  | paraphrase-multilingual-mpnet-base-v2 Fine-tuned with assin(s)| 0.77641|0.79831 |0.84575 |
 
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  ## Training
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  rufimelo/Legal-BERTimbau-sts-base-ma is based on Legal-BERTimbau-base which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) base.