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Create README.md

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+
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+ ---
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+ language:
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+ - "lb"
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+ license: "mit"
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+ tags:
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+ - "luxembourgish"
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+ - "lëtzebuergesch"
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+ - "text generation"
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+ -"transfer learning"
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+ model-index:
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+ - name: "LuxGPT2-basedGER"
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+ results:
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+ - task:
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+ type: "text-generation" # Required. Example: automatic-speech-recognition
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+ name: "Text Generation" # Optional. Example: Speech Recognition
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+ dataset:
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+ type: "LuxembourgishTestDataset" # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: "Luxembourgish Test Dataset" # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ metrics:
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+ - type: "accuracy" # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: "0.34" # Required. Example: 20.90
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+ - name: "LuxGPT2-basedGER"
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+ results:
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+ - task:
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+ type: "text-generation" # Required. Example: automatic-speech-recognition
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+ name: "Text Generation" # Optional. Example: Speech Recognition
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+ dataset:
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+ type: "LuxembourgishTestDataset" # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: "Luxembourgish Test Dataset" # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ metrics:
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+ - type: "perplexity" # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: "45.89" # Required. Example: 20.90