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@@ -6,9 +6,24 @@ tags:
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  metrics:
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  - rouge
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  - bleu
 
 
 
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  model-index:
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- - name: mt5-small_test_45
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # mt5-small_test_45
@@ -85,4 +100,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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- - Tokenizers 0.13.3
 
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  metrics:
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  - rouge
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  - bleu
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+ - meteor
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+ datasets:
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+ - natural_questions
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  model-index:
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+ - name: mt5-small
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+ results:
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+ - task:
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+ type: Question answering from context # Required. Example: automatic-speech-recognition
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+ name: Question answering # Optional. Example: Speech Recognition
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+ dataset:
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+ type: natural-questions # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: Adapted Natural Questions # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ metrics:
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+ - type: bleu # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 34.1596 # Required. Example: 20.90
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+ name: BLEU # Optional. Example: Test WER
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+ verified: true # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
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+
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  ---
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  # mt5-small_test_45
 
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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+ - Tokenizers 0.13.3