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README.md
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---
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language:
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- pt
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thumbnail: "Portugues
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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| Legal-BERTimbau-sts-base| 0.71457| 0.73545 | 0.72383|0.72462|
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| Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |0.78886|
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| Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|0.79307|
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| Legal-BERTimbau-sts-large| 0.76629| 0.82357 | 0.79120|0.79369|
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| Legal-BERTimbau-sts-large-v2| 0.76299 | 0.81121|0.81726 |0.79715|
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| Legal-BERTimbau-sts-large-ma| 0.76195| 0.81622 | 0.82608|0.80142|
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| Legal-BERTimbau-sts-large-ma-v2| 0.7836| 0.8462| 0.8261| 0.81863|
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| Legal-BERTimbau-sts-large-ma-v3| 0.7749| **0.8470**| 0.8364| **0.81943**|
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| ---------------------------------------- | ---------- |---------- |---------- |---------- |
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| BERTimbau base Fine-tuned for STS|**0.78455** | 0.80626|0.82841|0.80640|
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| BERTimbau large Fine-tuned for STS|0.78193 | 0.81758|0.83784|0.81245|
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| ---------------------------------------- | ---------- |---------- |---------- |---------- |
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| paraphrase-multilingual-mpnet-base-v2| 0.71457| 0.79831 |0.83999 |0.78429|
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| paraphrase-multilingual-mpnet-base-v2 Fine-tuned with assin(s)| 0.77641|0.79831 |**0.84575**|0.80682|
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## Training
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rufimelo/Legal-BERTimbau-sts-large is based on Legal-BERTimbau-large which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) large.
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It was trained for Semantic Textual Similarity, being submitted to a fine tuning stage with the [assin](https://huggingface.co/datasets/assin) and [assin2](https://huggingface.co/datasets/assin2) datasets.
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---
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language:
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- pt
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thumbnail: "Portugues BERT for the Legal Domain"
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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| 91 |
| Legal-BERTimbau-sts-base| 0.71457| 0.73545 | 0.72383|0.72462|
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| 92 |
| Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |0.78886|
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| 93 |
| Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|0.79307|
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| Legal-BERTimbau-base-TSDAE-sts|0.78814 |0.81380 |0.75777|0.78657|
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| Legal-BERTimbau-sts-large| 0.76629| 0.82357 | 0.79120|0.79369|
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| Legal-BERTimbau-sts-large-v2| 0.76299 | 0.81121|0.81726 |0.79715|
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| Legal-BERTimbau-sts-large-ma| 0.76195| 0.81622 | 0.82608|0.80142|
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| Legal-BERTimbau-sts-large-ma-v2| 0.7836| 0.8462| 0.8261| 0.81863|
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| Legal-BERTimbau-sts-large-ma-v3| 0.7749| **0.8470**| 0.8364| **0.81943**|
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| Legal-BERTimbau-large-v2-sts| 0.71665| 0.80106| 0.73724| 0.75165|
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| Legal-BERTimbau-large-TSDAE-sts| 0.72376| 0.79261| 0.73635| 0.75090|
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| Legal-BERTimbau-large-TSDAE-sts-v2| 0.81326| 0.83130| 0.786314| 0.81029|
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| Legal-BERTimbau-large-TSDAE-sts-v3|0.80703 |0.82270 |0.77638 |0.80204 |
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| ---------------------------------------- | ---------- |---------- |---------- |---------- |
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| BERTimbau base Fine-tuned for STS|**0.78455** | 0.80626|0.82841|0.80640|
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| BERTimbau large Fine-tuned for STS|0.78193 | 0.81758|0.83784|0.81245|
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| ---------------------------------------- | ---------- |---------- |---------- |---------- |
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| paraphrase-multilingual-mpnet-base-v2| 0.71457| 0.79831 |0.83999 |0.78429|
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| paraphrase-multilingual-mpnet-base-v2 Fine-tuned with assin(s)| 0.77641|0.79831 |**0.84575**|0.80682|
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## Training
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rufimelo/Legal-BERTimbau-sts-large is based on Legal-BERTimbau-large which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) large.
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It was trained for Semantic Textual Similarity, being submitted to a fine tuning stage with the [assin](https://huggingface.co/datasets/assin) and [assin2](https://huggingface.co/datasets/assin2) datasets.
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