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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:121408
- loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget:
- source_sentence: "NAME: Baked Beans\n\nCATEGORY: Beans\n\nKEYWORDS: < 60 Mins, Easy,\
\ Inexpensive\n\nTOOLS: pan\n\nINGREDIENTS: ground beef, bell pepper, onion, brown\
\ sugar, lemon juice, ketchup, barbecue sauce\n\nINSTRUCTIONS: \nCook you bell\
\ pepper and onion in with your ground beef. Drain grease.\nIn a casserole mix\
\ all other ingredients.\nPut in over for 20 minutes."
sentences:
- 'NAME: Hearty White Bean Bake
CATEGORY: Beans
KEYWORDS: < 60 Mins, Easy, Inexpensive, One-Pot
TOOLS: pan
INGREDIENTS: ground turkey, poblano pepper, shallot, maple syrup, apple cider
vinegar, chili sauce, smoked paprika, cannellini beans
INSTRUCTIONS:
Cook the poblano pepper and shallot with the ground turkey until the turkey is
browned. Drain any excess grease.
In the same pan, combine the cooked turkey mixture with maple syrup, apple cider
vinegar, chili sauce, smoked paprika, and cannellini beans.
Mix well and bake in the oven for 25 minutes, or until heated through and bubbly.'
- 'NAME: Spicy Southwest Seasoning Mix
CATEGORY: < 15 Mins
KEYWORDS: No Cook, Easy, Spice Mix
TOOLS: Small jar
INGREDIENTS: onion powder, chili powder, smoked paprika, seasoning salt, cayenne
pepper, black pepper
INSTRUCTIONS: Add all ingredients into a small jar. Secure the lid tightly. Shake
well until thoroughly combined.'
- 'NAME: Rosé Sangria
CATEGORY: Beverages
KEYWORDS: Citrus, Berries, < 4 Hours, Easy, Refreshing
TOOLS: large punch bowl, wooden spoon
INGREDIENTS: limes, raspberries, sugar, rosé wine, brandy, strawberry slices
INSTRUCTIONS:
Place lime slices and raspberries in a large punch bowl.
Pour sugar over slices and berries and with a wooden spoon lightly mash together
until sugar dissolves and the fruit begins to break down.
Stir in rosé wine and brandy.
Add strawberry slices.
Refrigerate at least 2 hours or up to 10.
Add ice cubes and sparkling water just before serving.'
- source_sentence: "NAME: Pink Banana Bread\n\nCATEGORY: Quick Breads\n\nKEYWORDS:\
\ Breads, Pineapple, Tropical Fruits, Fruit, Healthy, < 4 Hours, Easy\n\nTOOLS:\
\ grease bread pan, oven\n\nINGREDIENTS: yogurt, sugar, crushed pineapple, eggs,\
\ flour, baking soda, baking powder, salt, bananas, pecans\n\nINSTRUCTIONS: \n\
Mix yogurt, sugar, crushed pineapple, eggs, flour, baking soda, baking powder,\
\ salt, grenadine, bananas, and pecans together.\nGrease bread pan.\nBake at 375\
\ degrees Fahrenheit for 60 minutes or until done."
sentences:
- 'NAME: Lemon-Herb Baked Cod
CATEGORY: Tilapia
KEYWORDS: Healthy, High Protein, Quick, Baked, Lemon, < 45 Mins
TOOLS: spoon, baking dish, oven, zester
INGREDIENTS: olive oil, lemon juice, lemon zest, garlic cloves, dried oregano,
dried thyme, cod fillets, salt, black pepper
INSTRUCTIONS: Preheat oven to 400°F (200°C).
In a small bowl, combine olive oil, lemon juice, lemon zest, minced garlic, oregano,
thyme, salt, and pepper.
Place cod fillets in a baking dish.
Spoon the lemon-herb mixture over the cod, ensuring each fillet is well coated.
Bake for 12-15 minutes, or until the cod is opaque and flakes easily with a fork.
Check for doneness by flaking with a fork.
Serve immediately.'
- 'NAME: Fluffy Maple Buttercream Frosting
CATEGORY: Dessert
KEYWORDS: Low Protein, Kid Friendly, Sweet, Mixer, < 15 Mins, Beginner Cook, Small
Appliance, Easy, Maple
TOOLS: mixer, bowl
INGREDIENTS: vegetable shortening, brown butter, maple extract, confectioners''
sugar, milk
INSTRUCTIONS: In a bowl, use a mixer to beat the vegetable shortening with the
browned butter and maple extract until light and creamy. Gradually add in the
confectioners'' sugar, beating on low speed until combined, then increase speed
and beat until fluffy. If needed, add milk, one tablespoon at a time, to reach
the desired consistency. Add a pinch of cinnamon if using.'
- 'NAME: Mango Coconut Bread
CATEGORY: Quick Breads
KEYWORDS: Breads, Mango, Tropical Fruits, Fruit, Healthy, < 4 Hours, Easy, Gluten-Free
TOOLS: grease bread pan, oven, mixing bowl
INGREDIENTS: Greek yogurt, coconut sugar, shredded coconut, eggs, almond flour,
baking soda, baking powder, salt, mangos, macadamia nuts, lime zest
INSTRUCTIONS:
Preheat oven to 375 degrees Fahrenheit.
In a large mixing bowl, combine Greek yogurt, coconut sugar, shredded coconut,
eggs, almond flour, baking soda, baking powder, salt, and lime zest. Mix well.
Fold in diced mangos and chopped macadamia nuts.
Grease bread pan.
Pour batter into the prepared bread pan.
Bake for 55-65 minutes, or until a toothpick inserted into the center comes out
clean.
Let cool in the pan for 10 minutes before transferring to a wire rack to cool
completely.'
- source_sentence: "NAME: Layered Zucchini & Yellow Squash Casserole\n\nCATEGORY:\
\ Vegetable\n\nKEYWORDS: Low Protein, Low Cholesterol, Summer, < 60 Mins, Oven\n\
\nTOOLS: oven, baking pan\n\nINGREDIENTS: zucchini, onion, green bell pepper,\
\ fresh mushrooms, tomatoes, butter, parmesan cheese\n\nINSTRUCTIONS: \nLightly\
\ grease an 8 inch square baking pan (or spray with Pam).\nLayer the vegetables\
\ in the order listed, sprinkling each layer with salt and pepper as desired.\n\
Dot the top with butter, and sprinkle with Parmesan cheese.\nBake at 350F for\
\ 35 minutes or until crisp-tender."
sentences:
- 'NAME: Rustic Spelt Bread
CATEGORY: Yeast Breads
KEYWORDS: Breads, Grains, Swiss, European, Low Cholesterol, Healthy, Small Appliance,
< 4 Hours, Easy, Spelt
TOOLS: bowl, sharp knife, oven, electric mixer, baking sheet
INGREDIENTS: spelt flour, whole wheat flour, salt, dry yeast, warm water, milk,
olive oil
INSTRUCTIONS:
Combine the spelt flour, whole wheat flour, and salt in a large bowl. Add the
dry yeast.
Pour in the warm water, milk, and olive oil. Mix using an electric mixer with
a dough hook until the dough forms a fairly firm ball and cleans the sides of
the bowl.
Let the dough rise in a warm place until it has doubled in size.
Preheat the oven to 400°F.
Shape the dough into a round loaf on a prepared baking sheet. Cover with a damp
cloth, and allow to rest for about 20 minutes for a second rise.
Use a sharp knife to score the top of the loaf with a simple cross pattern. Bake
for 35 to 40 minutes, or until the crust is golden brown and the loaf sounds hollow
when tapped.'
- 'NAME: Layered Eggplant & Bell Pepper Casserole
CATEGORY: Vegetable
KEYWORDS: Low Protein, Low Cholesterol, Summer, < 60 Mins, Oven, Vegetarian
TOOLS: oven, baking pan
INGREDIENTS: eggplant, red onion, yellow bell pepper, fresh cremini mushrooms,
diced tomatoes, olive oil, mozzarella cheese
INSTRUCTIONS: Lightly grease an 8 inch square baking pan (or spray with cooking
spray). Layer the vegetables in the order listed, sprinkling each layer with salt,
pepper, and a pinch of dried oregano as desired. Drizzle the top with olive oil,
and sprinkle with mozzarella cheese. Bake at 350F for 40 minutes or until the
vegetables are tender and the cheese is melted and lightly browned.'
- 'NAME: Turkey Spinach Orzo Skillet
CATEGORY: One Dish Meal
KEYWORDS: Turkey, Poultry, Meat, Low Cholesterol, Healthy, < 45 Mins, Stove Top,
Quick
TOOLS: large skillet
INGREDIENTS: olive oil, butter, water, ground turkey, frozen spinach, sun-dried
tomatoes, dried oregano, feta cheese, orzo pasta
INSTRUCTIONS: In large skillet, saute orzo pasta in olive oil until lightly toasted
over medium heat. Stir in water and oregano; bring to a boil over high heat. Cover;
reduce heat to low. Simmer 8 minutes. Stir in spinach, ground turkey, and sun-dried
tomatoes. Cover, simmer 5 to 7 minutes or until most of liquid is absorbed and
turkey is cooked through. Crumble feta cheese over the top.'
- source_sentence: "NAME: Easy Basalmic Vinaigrette\n\nCATEGORY: Salad Dressings\n\
\nKEYWORDS: < 15 Mins, Easy\n\nTOOLS: \n\nINGREDIENTS: extra virgin olive oil,\
\ Dijon mustard, dried basil, salt, fresh ground pepper\n\nINSTRUCTIONS: \nPlace\
\ all ingredients in a 20 ounce reusable water bottle.\nShake vigorously until\
\ combined."
sentences:
- 'NAME: Savory Turkey Loaf
CATEGORY: One Dish Meal
KEYWORDS: Meat, Weeknight, < 4 Hours, Inexpensive, Easy
TOOLS: bread pan, oven, large bowl, turkey bowl
INGREDIENTS: ground turkey, onions, bell pepper, garlic powder, salt, egg, bread
crumbs, Worcestershire sauce
INSTRUCTIONS:
Preheat oven to 375 degrees F.
Finely dice the onions and bell pepper. In a large bowl, combine ground turkey,
diced onions, diced bell pepper, salt, garlic powder, and a dash of Worcestershire
sauce. Mix thoroughly with your hands until well combined. Add bread crumbs to
the mixture and combine again using your hands. Incorporate the egg, mixing until
evenly distributed.
Press the mixture firmly into a bread pan.
Bake for 50-60 minutes, or until the internal temperature reaches 165 degrees
F. Let stand for 10 minutes before slicing and serving.'
- 'NAME: Smoked Salmon Spread
CATEGORY: Spreads
KEYWORDS: Salmon, < 4 Hours, Easy, Smoked, Appetizer
TOOLS:
INGREDIENTS: cream cheese, mayonnaise, dill
INSTRUCTIONS:
Combine the cream cheese and mayonnaise.
Mix well, and chill for 2 hours.
Garnish with fresh dill before serving with crackers, bagel chips, or vegetables.'
- 'NAME: Simple Lemon Herb Vinaigrette
CATEGORY: Salad Dressings
KEYWORDS: < 15 Mins, Easy, Fresh
TOOLS: 20 ounce reusable water bottle
INGREDIENTS: extra virgin olive oil, honey Dijon mustard, dried oregano, salt,
fresh ground pepper, lemon juice
INSTRUCTIONS: Place all ingredients in a 20 ounce reusable water bottle. Shake
vigorously until combined. Let stand for 5 minutes before serving to allow flavors
to meld.'
- source_sentence: "NAME: Spinach with Raisins and Pine Nuts\n\nCATEGORY: Fruit\n\n\
KEYWORDS: Vegetable, Nuts, Low Cholesterol, Healthy, < 30 Mins, Stove Top\n\n\
TOOLS: grill, pot\n\nINGREDIENTS: fresh spinach, pine nuts, salt, raisins, olive\
\ oil, lemon juice\n\nINSTRUCTIONS: \nClean the spinach thoroughly.\nGrill the\
\ pine nuts until golden brown, watching carefully so as not to burn.\nBring a\
\ pot of salted water to the boil and toss in raisins and spinach.\nDrain as soon\
\ as spinach goes limp.\ntoss in olive oil and lemon juice, and scatter with the\
\ grilled pine nuts."
sentences:
- 'NAME: Dried Apricots with Pistachios and Almonds
CATEGORY: Fruit
KEYWORDS: Dried Fruit, Nuts, Low Cholesterol, Healthy, < 30 Mins, Stove Top, Vegan
TOOLS: grill, pot
INGREDIENTS: dried apricots, pistachios, salt, slivered almonds, olive oil, orange
juice
INSTRUCTIONS:
Soak the dried apricots in warm water for 10 minutes to soften them.
Grill the pistachios until lightly toasted, being careful not to burn them.
Bring a pot of salted water to the boil and add the softened apricots.
Drain immediately after the apricots plump up slightly.
Toss with olive oil and orange juice, then sprinkle with the grilled pistachios
and slivered almonds.'
- 'NAME: Smoky Chipotle Turkey Meatloaf
CATEGORY: Meat
KEYWORDS: < 60 Mins, Spicy, Oven, Comfort Food
TOOLS: frying pan, meat thermometer, oven, loaf pan
INGREDIENTS: bacon, yellow onion, green bell pepper, chipotle powder, garlic powder,
dried oregano, salt, ground mustard, smoked paprika, chili powder, tomato paste,
chicken broth, eggs, ground turkey
INSTRUCTIONS:
Preheat oven to 425 degrees.
Cook bacon in frying pan, remove, drain, and chop.
Leave drippings in pan and saute (but do not brown) onion and green pepper.
Add chipotle powder, garlic powder, oregano, salt, mustard, smoked paprika, and
chili powder.
Cook for 8 minutes.
Remove pan from heat and add tomato paste and chicken broth.
Mix bread crumbs with eggs and add to ground turkey.
Add spice mixture and bacon to turkey mixture and mix gently.
Place mixture in two or three 8 x 4 inch individual loaf pans.
Cook until done, about 35 to 45 minutes, or until internal temperature reaches
165 degrees on a meat thermometer.
Let rest for 10 minutes before slicing.'
- 'NAME: Buttermilk Corn Fritters
CATEGORY: Breads
KEYWORDS: Healthy, Spicy, < 60 Mins, Deep Fried, Corn
TOOLS: pan, mixing bowl, slotted spoon
INGREDIENTS: yellow cornmeal, gluten-free flour blend, baking powder, brown sugar,
salt, eggs, buttermilk, scallions, cheddar cheese
INSTRUCTIONS: In a mixing bowl, combine cornmeal, flour, baking powder, brown
sugar, and salt; mix well. Add eggs, buttermilk, chopped scallions, and shredded
cheddar cheese; stir until just combined. Heat 1-inch of oil to 365°F in a pan.
Carefully drop spoonfuls of batter into the hot oil, cooking in batches to avoid
overcrowding. Fry fritters for 2-3 minutes, flipping halfway through, until golden
brown and cooked through. Remove fritters with a slotted spoon and place on paper
towel-lined plates to drain excess oil. Serve immediately.'
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) <!-- at revision 12e86a3c702fc3c50205a8db88f0ec7c0b6b94a0 -->
- **Maximum Sequence Length:** 384 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 384, 'do_lower_case': False}) with Transformer model: MPNetModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("GPTasty/TastyRecipesEmbedder")
# Run inference
sentences = [
'NAME: Spinach with Raisins and Pine Nuts\n\nCATEGORY: Fruit\n\nKEYWORDS: Vegetable, Nuts, Low Cholesterol, Healthy, < 30 Mins, Stove Top\n\nTOOLS: grill, pot\n\nINGREDIENTS: fresh spinach, pine nuts, salt, raisins, olive oil, lemon juice\n\nINSTRUCTIONS: \nClean the spinach thoroughly.\nGrill the pine nuts until golden brown, watching carefully so as not to burn.\nBring a pot of salted water to the boil and toss in raisins and spinach.\nDrain as soon as spinach goes limp.\ntoss in olive oil and lemon juice, and scatter with the grilled pine nuts.',
'NAME: Dried Apricots with Pistachios and Almonds\n\nCATEGORY: Fruit\n\nKEYWORDS: Dried Fruit, Nuts, Low Cholesterol, Healthy, < 30 Mins, Stove Top, Vegan\n\nTOOLS: grill, pot\n\nINGREDIENTS: dried apricots, pistachios, salt, slivered almonds, olive oil, orange juice\n\nINSTRUCTIONS:\nSoak the dried apricots in warm water for 10 minutes to soften them.\nGrill the pistachios until lightly toasted, being careful not to burn them.\nBring a pot of salted water to the boil and add the softened apricots.\nDrain immediately after the apricots plump up slightly.\nToss with olive oil and orange juice, then sprinkle with the grilled pistachios and slivered almonds.',
'NAME: Smoky Chipotle Turkey Meatloaf\n\nCATEGORY: Meat\n\nKEYWORDS: < 60 Mins, Spicy, Oven, Comfort Food\n\nTOOLS: frying pan, meat thermometer, oven, loaf pan\n\nINGREDIENTS: bacon, yellow onion, green bell pepper, chipotle powder, garlic powder, dried oregano, salt, ground mustard, smoked paprika, chili powder, tomato paste, chicken broth, eggs, ground turkey\n\nINSTRUCTIONS:\nPreheat oven to 425 degrees.\nCook bacon in frying pan, remove, drain, and chop.\nLeave drippings in pan and saute (but do not brown) onion and green pepper.\nAdd chipotle powder, garlic powder, oregano, salt, mustard, smoked paprika, and chili powder.\nCook for 8 minutes.\nRemove pan from heat and add tomato paste and chicken broth.\nMix bread crumbs with eggs and add to ground turkey.\nAdd spice mixture and bacon to turkey mixture and mix gently.\nPlace mixture in two or three 8 x 4 inch individual loaf pans.\nCook until done, about 35 to 45 minutes, or until internal temperature reaches 165 degrees on a meat thermometer.\nLet rest for 10 minutes before slicing.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 121,408 training samples
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 |
|:--------|:------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
| type | string | string |
| details | <ul><li>min: 45 tokens</li><li>mean: 185.8 tokens</li><li>max: 384 tokens</li></ul> | <ul><li>min: 59 tokens</li><li>mean: 222.58 tokens</li><li>max: 384 tokens</li></ul> |
* Samples:
| sentence_0 | sentence_1 |
|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>NAME: Homemade Honey Mustard<br><br>CATEGORY: Sauces<br><br>KEYWORDS: Low Protein, < 15 Mins, Easy<br><br>TOOLS: <br><br>INGREDIENTS: Dijon mustard, sour cream, honey, Worcestershire sauce<br><br>INSTRUCTIONS: <br>Mix well, enjoy.</code> | <code>NAME: Creamy Maple Mustard Sauce<br>CATEGORY: Sauces<br>KEYWORDS: Low Protein, < 15 Mins, Easy, Gluten-Free<br>TOOLS:<br>INGREDIENTS: Whole grain mustard, Greek yogurt, maple syrup, apple cider vinegar<br>INSTRUCTIONS: Combine all ingredients in a bowl and mix until well combined. Refrigerate for at least 10 minutes before serving to allow flavors to meld. Enjoy with pretzels or veggies.</code> |
| <code>NAME: Baby Greens With Hazelnut Parmesan Crisps<br><br>CATEGORY: Greens<br><br>KEYWORDS: Vegetable, High In..., < 30 Mins<br><br>TOOLS: parchment paper, mixer, whisk, oven, baking sheet<br><br>INGREDIENTS: parmesan cheese, hazelnuts, lemon juice, olive oil, maple syrup, lettuce, prosciutto<br><br>INSTRUCTIONS: <br>Preheat oven to 350°F Line a baking sheet with parchment paper.<br>Combine Parmesan and hazelnuts. Drop 12 spoonfuls of Parmesan mixture onto baking sheet 3 inches apart.<br>Bake crisps for 8 to 10 minutes, or until golden. Cool on baking sheet.<br>Whisk together lemon juice, oil and maple syrup. Season with salt and pepper.<br>Toss lettuce with vinaigrette and pile on individual plates.<br>Coil each slice of prosciutto into a rose shape and set a rose in center of each mound of greens. Garnish each serving with two Parmesan crisps.</code> | <code>NAME: Spinach Salad with Almond Manchego Crisps<br><br>CATEGORY: Greens<br><br>KEYWORDS: Vegetable, High In..., < 30 Mins, Gluten-Free<br><br>TOOLS: parchment paper, mixer, whisk, oven, baking sheet<br><br>INGREDIENTS: manchego cheese, almonds, lime juice, avocado oil, honey, spinach, serrano ham<br><br>INSTRUCTIONS:<br>Preheat oven to 375°F. Line a baking sheet with parchment paper.<br>Combine Manchego cheese and chopped almonds. Drop 12 spoonfuls of the Manchego mixture onto the baking sheet, spacing them 3 inches apart.<br>Bake crisps for 6 to 8 minutes, or until golden brown. Let cool on the baking sheet.<br>Whisk together lime juice, avocado oil, and honey. Season with salt and a pinch of red pepper flakes.<br>Toss spinach with the vinaigrette and arrange on individual plates.<br>Roll each slice of serrano ham into a flower shape and place one in the center of each spinach mound. Garnish each serving with two Manchego crisps.</code> |
| <code>NAME: Classic Delicious New York Cheesecake<br><br>CATEGORY: Cheesecake<br><br>KEYWORDS: Dessert, Weeknight, For Large Groups, < 4 Hours<br><br>TOOLS: pan, mixing bowl, warm oven, mixer, refrigerator<br><br>INGREDIENTS: graham cracker crumbs, cream cheese, eggs, sour cream, butter, sugar, vanilla<br><br>INSTRUCTIONS: <br>Preheat oven to 450 degrees.<br>To make the crust, mix graham crackers crumbs, butter, and 2 tablespoons of sugar in bowl.<br>Press mixture in bottom and sides of 9 inch springform pan.<br>In mixing bowl, beat cream cheese and remaining sugar for 2 minutes.<br>Add eggs and vanilla to mixture and mix until well blended.<br>Then stir or fold in sour cream.<br>Pour mixture in crust filled pan and bake for 10 minutes.<br>Then reduce to 200 degrees to bake for 45 minutes.<br>From here the cheese cake just needs to be chilled, but I recommend doing the following step if you have a few extra hours- Leave in warm oven, once you turn it off but leave door slightly open.<br>Let sit and cool for 2 hours and remove from oven.<br>Remove sides ...</code> | <code>NAME: Lemon Ricotta Cheesecake Delight<br><br>CATEGORY: Cheesecake<br><br>KEYWORDS: Dessert, Weeknight, For Large Groups, < 4 Hours, Citrus<br><br>TOOLS: pan, mixing bowl, warm oven, mixer, refrigerator, zester<br><br>INGREDIENTS: gluten-free graham cracker crumbs, ricotta cheese, eggs, Greek yogurt, butter, sugar, vanilla extract, lemon zest, lemon juice<br><br>INSTRUCTIONS:<br>Preheat oven to 450 degrees Fahrenheit.<br>To make the crust, mix gluten-free graham cracker crumbs, melted butter, and 2 tablespoons of sugar in bowl.<br>Press mixture firmly in bottom and partially up the sides of a 9 inch springform pan.<br>In a large mixing bowl, beat ricotta cheese and remaining sugar for 3 minutes until light and fluffy.<br>Add eggs, vanilla extract, lemon zest, and lemon juice to mixture; mix until just combined. Avoid overmixing.<br>Gently fold in Greek yogurt.<br>Pour mixture into the prepared crust-lined pan and bake for 12 minutes.<br>Reduce oven temperature to 225 degrees Fahrenheit and continue baking for 40 minutes, or until the edge...</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 64
- `fp16`: True
- `multi_dataset_batch_sampler`: round_robin
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 64
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 3
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: True
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `tp_size`: 0
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
</details>
### Training Logs
| Epoch | Step | Training Loss |
|:------:|:----:|:-------------:|
| 0.2636 | 500 | 0.0583 |
| 0.5271 | 1000 | 0.0017 |
| 0.7907 | 1500 | 0.001 |
| 1.0543 | 2000 | 0.0008 |
| 1.3179 | 2500 | 0.0005 |
| 1.5814 | 3000 | 0.0006 |
| 1.8450 | 3500 | 0.0004 |
| 2.1086 | 4000 | 0.0005 |
| 2.3722 | 4500 | 0.0003 |
| 2.6357 | 5000 | 0.0003 |
| 2.8993 | 5500 | 0.0003 |
### Framework Versions
- Python: 3.11.9
- Sentence Transformers: 4.0.1
- Transformers: 4.50.2
- PyTorch: 2.4.0
- Accelerate: 1.5.2
- Datasets: 3.5.0
- Tokenizers: 0.21.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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