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@@ -6,6 +6,12 @@ tags:
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  model-index:
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  - name: xlm-roberta-base-finetuned-panx-39-langs
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  results: []
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-roberta-base-finetuned-panx-39-langs
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.1859
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  - eval_f1: 0.8572
@@ -53,4 +59,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.44.0
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  - Pytorch 2.4.0
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  - Datasets 2.21.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: xlm-roberta-base-finetuned-panx-39-langs
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  results: []
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+ datasets:
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+ - google/xtreme
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+ metrics:
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+ - f1
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+ pipeline_tag: token-classification
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+ library_name: transformers
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # xlm-roberta-base-finetuned-panx-39-langs
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on 39 google/xtreme/pan-x datasets.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.1859
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  - eval_f1: 0.8572
 
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  - Transformers 4.44.0
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  - Pytorch 2.4.0
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  - Datasets 2.21.0
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+ - Tokenizers 0.19.1