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README.md
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# distilbert-base-uncased trained for Semantic Textual Similarity in Spanish
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This is a test model that was fine-tuned using the Spanish datasets from [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt) in order to understand and benchmark STS models.
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Evaluating `distilbert-base-uncased` on the Spanish test dataset before training results in:
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```
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Cosine-Similarity : Pearson: 0.2980 Spearman: 0.4008
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```
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While the fine-tuned version with the defaults of the training script and the Spanish training dataset results in:
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```
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Cosine-Similarity : Pearson: 0.7451 Spearman: 0.7364
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```
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