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--- |
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tags: |
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- autotrain |
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- text2text-generation |
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widget: |
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- text: "I love AutoTrain" |
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datasets: |
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- autotrain-sornm-46488/autotrain-data |
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--- |
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Qualitative food measurements into grams |
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- Approximate food portion descriptors |
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| input | output | |
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|-----------------|-----------------| |
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| "3 lime wedges" | 28.0 g | |
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| "1 large clove of garlic" | 15.0 g | |
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| large apple | 236.59 g | |
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# Model Trained Using AutoTrain |
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- Problem type: Seq2Seq |
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## Validation Metrics |
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loss: 0.4644700586795807 |
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rouge1: 75.8017 |
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rouge2: 63.419 |
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rougeL: 75.7333 |
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rougeLsum: 75.7431 |
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gen_len: 5.5457 |
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runtime: 191.5265 |
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samples_per_second: 53.403 |
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steps_per_second: 3.342 |
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: 3.0 |
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