6/21/2023 0 Comments Finetune odor![]() ![]() If you’re going to go there, you need to do it right. Don’t cheap out on this step and buy one at the super Marché’. Hands down the quick and easy way to get a hit of fragrance anywhere you want it. Another plus, like plants, these diffusers also help to add moisture to the air. Just add water and a few drops of fragrance and you're good to go. They let off a super fine mist infused with your favorite essential oils for a hint of fragrance. Some of the best ones actually look like chic decor pieces. Oil diffusers have come a long way from the plastic eyesore versions you see on Amazon. You could even purchase a flowering variety to really ramp up the fragrance. They take in carbon dioxide and give fresh, clean oxygen right back to you. Not only do they look gorgeous, housep lants literally help to clear the air in your home. I also flipping your reeds every 2-3 to freshen-up the scent. I like to match the fragrance of my diffuser to whatever candle scent we’re burning for an extra boost of fragrance. The thing about diffusers is that they’re super low-maintenance. Think the nursery, closet, or anywhere a pet could reach. Just make sure they’re complimentary… REED DIFFUSERSĭiffusers go great where candles cannot. When it comes to scented candles, you can go one of two ways: Either stick with one good scent and use it throughout the house, or layer several complimentary scents to create your own, unique signature scent at home. ![]() They instantly create an atmosphere, add great lighting, and a premium scented one elevates the space with a sophisticated scent. Ah see, better already! CANDLES.Įverybody loves a candle. So it’s time to wash the dishes, flip the laundry, empty the litter box, and maybe open a window or two. Bad smells mean something needs cleaning, something that is most likely housing bacteria. You wouldn’t apply makeup to a dirty face, would you? No. Trying to mask household odors with fragrance won’t do you any good ( we’re looking at you, Febreeze). A home that smells good not only makes a good impression, it's also just a nicer place to be for you and your guests! There are a couple ways of going about it, but we’ve broken it down to the basics. Before family and friends begin flooding over to celebrate the holidays, now is the perfect opportunity to experiment and fine-tune your home’s signature scent. The fact is, a home’s scent is a direct reflection of its occupants. Whether we mean to or not, it’s one of the critical factors that help us form an opinion of the space and the people that occupy it: Clean, sexy, stylish…cats? There's nothing like that feeling of walking into a home and noticing a certain smell (either good, bad or just different). Most of us spend major time and money just to smell good and let people know it. One that feels like you, one that's just enough, one that will leave an impression. Romanian/the dataset you use might be more of a challenge for the model and result in different scores though.Finding the perfect fragrance is no joke. opus-mt-en-de BLEU increased from 0.256 to 0.388 and t5-base from 0.166 to 0.340, just to give you an idea of what to expect. I fine-tuned both opus-mt-en-de and t5-base on a custom dataset of 30.000 samples for 10 epochs. I actually did something very similar to what you are doing before for EN>DE (German). Try increasing the epochs for as long as you get significant performance boosts from it, in the example this is probably the case for at least the first 5 to 10 epochs. If you chose a relatively small model like t5-base but you stuck with the num_train_epochs=1 in the tutorial your train epoch number is probably a lot too low to make a noticable difference.You can see how that affects the model behavior for example in this inference demo: Language used during pretraining and Language not used during pretraining. ![]() Did you add the proper T5 prefix to the input sequences ( "translate English to Romanian: ") for both your training and your evaluation? If you did not you might have been training a new task from scratch and not use the bit of pre-training the model did on MT to Romanian (and German and perhaps some other ones).Two things I could imagine having gone wrong with your training: More important is the difference in metrics before and after the fine-tuning. You generally shouldn't expect the same results from fine-tuning T5 which is not a (pure) machine translation model. I don't see the before and after comparison of the metrics for it, so it is hard to tell how much of a difference that fine-tuning really made. I think the metrics shown in the tutorial are for the already trained EN>RO opus-mt model which was then fine-tuned. ![]()
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