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@@ -61,7 +61,7 @@ It was presented to Generative Pseudo Labeling training.
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  The model was presented to NLI data. 16 batch size, 2e-5 lr
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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), [assin2](https://huggingface.co/datasets/assin2), [stsb_multi_mt pt](https://huggingface.co/datasets/stsb_multi_mt) datasets. 'lr': 1e-5
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
 
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  The model was presented to NLI data. 16 batch size, 2e-5 lr
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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), [assin2](https://huggingface.co/datasets/assin2), [stsb_multi_mt pt](https://huggingface.co/datasets/stsb_multi_mt) and [IRIS STS](https://huggingface.co/datasets/stjiris/IRIS_sts) datasets. 'lr': 1e-5
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed: