Qualitative food measurements into grams
- Approximate food portion descriptors
| input | output |
|---|---|
| "3 lime wedges" | 28.0 g |
| "1 large clove of garlic" | 15.0 g |
| large apple | 236.59 g |
Model Trained Using AutoTrain
- Problem type: Seq2Seq
Validation Metrics
loss: 0.4644700586795807
rouge1: 75.8017
rouge2: 63.419
rougeL: 75.7333
rougeLsum: 75.7431
gen_len: 5.5457
runtime: 191.5265
samples_per_second: 53.403
steps_per_second: 3.342
: 3.0
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FoodIntake/flan-t5-large-portion-to-qu-task") model = AutoModelForSeq2SeqLM.from_pretrained("FoodIntake/flan-t5-large-portion-to-qu-task")