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@@ -51,17 +51,16 @@ We provide models fine-tuned on the [XNLI dataset](https://huggingface.co/datase
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  ## Metrics
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- We fine-tune our models on 4 different down-stream tasks:
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  - [XNLI](https://huggingface.co/datasets/xnli)
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  - [PAWS-X](https://huggingface.co/datasets/paws-x)
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- - [CoNLL2002 - POS](https://huggingface.co/datasets/conll2002)
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  - [CoNLL2002 - NER](https://huggingface.co/datasets/conll2002)
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  For each task, we conduct 5 trials and state the mean and standard deviation of the metrics in the table below.
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  To compare our results to other Spanish language models, we provide the same metrics taken from the [evaluation table](https://github.com/PlanTL-SANIDAD/lm-spanish#evaluation-) of the [Spanish Language Model](https://github.com/PlanTL-SANIDAD/lm-spanish) repo.
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- | Model | [CoNLL2002](https://huggingface.co/datasets/conll2002) - NER (f1) | [PAWS-X](https://huggingface.co/datasets/paws-x) (acc) | [XNLI](https://huggingface.co/datasets/xnli) (acc) | Params |
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  | --- | --- | --- | --- | --- |
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  | SELECTRA small | 0.865 +- 0.004 | 0.896 +- 0.002 | 0.784 +- 0.002 | 22M |
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  | SELECTRA medium | 0.873 +- 0.003 | 0.896 +- 0.002 | 0.804 +- 0.002 | 41M |
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  ## Metrics
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+ We fine-tune our models on 3 different down-stream tasks:
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  - [XNLI](https://huggingface.co/datasets/xnli)
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  - [PAWS-X](https://huggingface.co/datasets/paws-x)
 
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  - [CoNLL2002 - NER](https://huggingface.co/datasets/conll2002)
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  For each task, we conduct 5 trials and state the mean and standard deviation of the metrics in the table below.
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  To compare our results to other Spanish language models, we provide the same metrics taken from the [evaluation table](https://github.com/PlanTL-SANIDAD/lm-spanish#evaluation-) of the [Spanish Language Model](https://github.com/PlanTL-SANIDAD/lm-spanish) repo.
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+ | Model | CoNLL2002 - NER (f1) | PAWS-X (acc) | XNLI (acc) | Params |
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  | --- | --- | --- | --- | --- |
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  | SELECTRA small | 0.865 +- 0.004 | 0.896 +- 0.002 | 0.784 +- 0.002 | 22M |
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  | SELECTRA medium | 0.873 +- 0.003 | 0.896 +- 0.002 | 0.804 +- 0.002 | 41M |