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  license: mit
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  tags:
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  - generated_from_trainer
 
 
 
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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  - name: xlm-r-base-amazon-massive-intent-label_smoothing
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - AmazonScience/massive
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  language:
@@ -19,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-r-base-amazon-massive-intent-label_smoothing
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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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  - Loss: 2.5148
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  - Accuracy: 0.8879
 
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  license: mit
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  tags:
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  - generated_from_trainer
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+ - nlu
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+ - intent-classification
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+ - text-classification
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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  - name: xlm-r-base-amazon-massive-intent-label_smoothing
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+ results:
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+ - task:
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+ name: text-classification
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+ type: text-classification
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+ dataset:
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+ name: MASSIVE
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+ type: AmazonScience/massive
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+ split: test
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.8879
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  datasets:
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  - AmazonScience/massive
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  language:
 
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  # xlm-r-base-amazon-massive-intent-label_smoothing
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [MASSIVE1.1](https://huggingface.co/datasets/AmazonScience/massive) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.5148
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  - Accuracy: 0.8879