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README.md
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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:
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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
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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
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