Tilo Michel
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Parent(s):
46d1ff6
Evaluation results in README.md
Browse files- README.md +60 -4
- eval_results.json +0 -14
README.md
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@@ -20,16 +20,72 @@ tags:
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- question generation
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datasets:
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- deepset/germanquad
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- xquad
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model-index:
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- name: mT5-base-GermanQuAD-e2e-qg
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results: []
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metrics:
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- sacrebleu
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- bleu
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- rouge-l
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- meteor
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- bertscore
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---
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# mT5-base finetuned on the GermanQuAD dataset for answer-agnostic question generation
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- question generation
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datasets:
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- deepset/germanquad
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metrics:
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- sacrebleu
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- bleu
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- rouge-l
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- meteor
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- bertscore
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+
model-index:
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- name: tilomichel/mT5-base-GermanQuAD-e2e-qg
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results:
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- task:
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type: question-generation
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name: Question generation
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dataset:
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type: xquad
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name: XQuAD (de)
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split: de
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metrics:
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- type: sacrebleu
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value: 1.72837804716791
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name: BLEU Score
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args:
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lowercase: true
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verified: false
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- type: sacrebleu
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value: 49.210584834334
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name: BLEU-1
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args:
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lowercase: true
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verified: false
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- type: sacrebleu
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value: 16.960300681230915
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name: BLEU-2
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args:
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lowercase: true
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verified: false
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- type: sacrebleu
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value: 7.144635299975106
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name: BLEU-3
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args:
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lowercase: true
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verified: false
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- type: sacrebleu
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value: 3.230076780513635
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name: BLEU-4
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args:
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lowercase: true
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verified: false
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- type: rouge
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name: ROUGE-L (f-measure)
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value: 0.171130005590873
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args:
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use_aggregator: true
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use_stemmer: false
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verified: false
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- type: meteor
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value: 0.0835049103331918
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name: METEOR
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args:
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language: de
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verified: false
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- type: bertscore
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value: 0.331940584507538
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name: BERTScore (F1)
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args:
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rescale_with_baseline: true
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verified: false
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---
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# mT5-base finetuned on the GermanQuAD dataset for answer-agnostic question generation
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eval_results.json
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{
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"epoch": 10,
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"eval_bertscore": 0.331940584507538,
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"eval_bleu": 1.72837804716791,
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"eval_bleu-1": 49.210584834334,
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"eval_bleu-2": 16.9603006812309,
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"eval_bleu-3": 7.14463529997511,
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"eval_bleu-4": 3.23007678051363,
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"eval_rouge1": 0.231197704900175,
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"eval_rouge2": 0.0746574903742914,
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"eval_rougeL": 0.171130005590873,
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"eval_meteor": 0.0835049103331918,
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"eval_samples": 244
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}
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