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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:21955
- loss:CachedMultipleNegativesRankingLoss
base_model: Qwen/Qwen3-Embedding-0.6B
widget:
- source_sentence: 'Title: Gold extatic Musk EDT 90ml'
sentences:
- 'Description: [''When you’re looking for soothing relief, reach for Aloe MSM Gel.
MSM stands for Methyl Sulfonyl Methane, an organic sulfur found in almost all
living organisms. In fact, sulfur is the third most abundant substance in our
body. The other main ingredient in Aloe MSM Gel is pure, stabilized Aloe Vera.
Aloe MSM Gel combines these two powerful ingredients with herbal extracts and
other select ingredients for soothing relief anytime. Try Aloe MSM Gel today!
DIRECTIONS: Apply liberally and massage into skin areas where needed. Should eye
contact occur, flush with water for several minutes. Repeat application as needed.'']
Clear, non-staining formula
For soothing relief anytime
Contains pure, stabilized Aloe Vera'
- 'Description: [''Edt spray 3 oz design house: balmain'']
Extatic Balmain Gold Musk By Balmain Edt Spray 3 Oz'
- 'Description: [''Euphoria is a heavenly and intoxicating perfume for the woman
who enjoys attention. Its original blend of sparkly and sweet ingredients is simply
irresistible. Persimmon and pomegranate open the scent with an uncommon kick.
The two fruits combine for a rich aroma of musky, sweet wine deepened by green
accords. Black orchid and lotus blossom provide clean, watery flower notes just
exotic enough to suggest the marvels of a faraway land. Violet, cream, amber,
and wood notes support the perfume with a milky, savory aroma. Made for the uncommon
woman, this perfume longs to be noticed.'']'
- source_sentence: 'Title: Nail Clippers for Thick Nails - Heavy Duty Stainless Steel
Fingernail Toenail Clipper for Tough Nails,Wide Jaw Extra Large Nail Cutter for
Thick Toenails for Seniors Men & Women,Curved Blades'
sentences:
- 'Description: [''Launched by the design house of Chanel in 2002, CHANEL CHANCE
by Chanel is classified as a flowery fragrance. This feminine scent posesses a
blend of: a refined blend of jasmine and citrus. It is recommended for daytime
wear.'']'
- 'Description: [''Medicated Treatment Conditioner'', ''🥇 Intense multi-functional
formula.🥈 Designed to penetrate the hair shaft to stop drying and add moisture.
🥉 Also helps in the aid of minor scalp irritations and fungus.'']
✅ 👩🏾 👩🏽🦰👩🏼 Works on all hair types
✅ Formulated with Aloe
✅ Works best when used with Kiti Kiti Medicated Treatment Shampoo
✅ Help remove dry, flaking skin from scalp'
- 'Description: [''Are you still spending thousands of dollars a year for your thick
nail problems? Are you still complaining about traditional nail clippers for men
that are easily damaged?'', ''We recommend you to try the new professional nail
clippers of the DEJLIG brand.'', ''Toenail clippers for thick nails adopt a unique
lever design, and the blade of nail clippers for thick toenails can be opened
up to 16mm. Fingernail clippers for men can trim nails of any thickness and easily
cut our thick nails. Clipper pro nail cutters are very durable and sharp, saying
goodbye to the annoying thick nail problem.'', ''DEJLIG is an American brand dedicated
to producing high-quality large nail clippers for thick toenails.'', "Our heavy
duty nail clippers for thick nails have an elegant ergonomic design and have the
most durable and sharpest blades. Professional nail clippers for seniors made
of surgical grade stainless steel have outstanding performance and are today''s
masterpieces. She is one of the best nail clippers set for men on the market today. It''s
time to say goodbye to cheap and low-quality toenail clippers for thick toenails.",
''Try our wide jaw toenail clippers now! When you trim your nails, they will provide
you with the smoothest and most enjoyable experience.'', ''【Gift Box Includes】'',
''1 x Big Toenail Clippers 1 x Nail File1×Instructions'', ''【After-sales Service:
Lifetime Service】'', ''All heavy duty toenail clippers must pass strict quality
inspections before they can be sold. If you have any questions about our stainless
steel nail clippers, please go to the following path: "My Order"-"Contact Seller"
to contact us.'']
【Professional Nail Clippers Set】- Toe nail clippers for thick toenails are designed
for various nail types and are suitable for professional occasions such as nail
salons, including men, women and seniors. This is also a great nail clipper kit
(including a nail clipper and a nail file), which can provide a relaxing and enjoyable
experience for heavy duty toenail clippers, nail cutters for seniors and travel
nail clippers. Large Toenail Clippers for Thick Toenails Are the Best Choice for
Gifts.
【Sharp & Durable】- Toenail clippers for thick nails for seniors are made of high-quality
surgical grade stainless steel for rust and durability .The new sharp curved blade
adapts to the curvature of the nail and trims sharp pieces of corners precisely.
Nail clippers for thick toenails use a unique lever, which is very durable, ergonomic
and comfortable to use. Nail Clippers for Women Are Professional Cutting Tools
Manufactured According to The Highest Standards.
【Ultra Wide Jaw Opening】- Professional toenail clippers use a unique lever design,
allowing the wide jaw blade to open up to 16mm, suitable for trimming nails of
any thickness. Ultra wide jaw opening and non-slip handle work perfectly together,
and nail clippers for men can reduce the pressure required to cut thick nails
or tough toenails. Fingernail clippers for women help us cut nails easily and
comfortably, so Large Nail Clippers for Thick Toenails Will Be Our Best Tool for
Trimming Nails.
【Designed for Thick Nails】- Nail clippers for thick nails can easily trim nails
of various thicknesses, saving us strength and time. Sturdy and sharp curved blade
with double curved edges allows toenail clippers for thick toenails to trim nails
precisely without pain. Heavy duty nail clippers for thick nails effectively alleviate
tough nail problems caused by fungus, diabetes, and aging. Fingernail Clippers
for Men Are A Good Helper for Every Thick Nail Friend.
【Lifetime Warranty】- We are very confident in the quality of our nail trimmer
for women and offer a leading lifetime replacement warranty to every customer
who buys thick toenail clippers. If you have any questions about our toenail clippers
for thick nails, please feel free to email us. Our US professional team will give
you the most satisfactory answer within 24 hours. Clipper Pro Nail Cutter Provide
Reliable Quality, So You Can Buy Stainless Steel Nail Clippers with More Confidence.'
- source_sentence: 'Title: Nail Art Brushes,Acrylic Nail Brush,Nail Art Brush,Acrylic
Brush Embossed Sable Nail Tools for Nail Salon Home Use,Nail Tools (#20)'
sentences:
- 'Description: [''Product Details: Weight: about 0.63-0.98 oz Material: alloy +
plastic + Kolinsky hair Color: Black Size: #8,10,12,14,16,18,20 Length: about
17.2-18.5 cm Nail brushes soft, flexible bristles give the artist great control
over the product. Long-lasting and strong, it will not split or deform, the alloy
handle is easy to handle, has a very smooth surface, more durable than any type
of brush, both beautiful and practical. Nail acrylic brush is the perfect nail
art tool for professional salons and home DIY nail art, the more times you use
it, the smoother the result. Warm Tips: Please clean our nail brushes with a brush
before use. After the manicure, please clean the nail brush with Brush Liquid
Monomer. Wipe off as much water as possible with a paper towel and re-store. Proper
care and cleaning will extend the life of your nail brushes. Proper use and proper
care will ensure a longer life for your nail art brushes. Always keep air circulating
and in an upright position. The acrylic nail brushes need to breathe to prevent
bad stuff growth. Also, keep pinceles para acrilico out of direct sunlight. With
proper care, your acrylic brush will have a longer life.'']'
- 'Description: [''For carefree hair with time to spare start your day with Aussie
Total Miracle Collection 7N1 Shampoo. Packed with 7 benefits in 1 bottle it starts
by cleansing your tresses to reveal brilliant natural shine. The moisture-enriched
serum infusion protects your hair from dryness split ends and breakage. On top
of that this miraculous shampoo makes your hair more manageable by detangling
your strands. The result? Your hair is less prone to damage and breakage. Follow
with Aussie Total Miracle Collection 7N1 Conditioner and emerge from the shower
with a head full of silky smooth hair. Because around here we make Aussome hair
easy!'']'
- 'Description: [''EVA Hard Protective Travel Case Carrying Pouch Cover Bag for
John Frieda Salon Shape 1.5 Inch Hot Air Brush By Hermitshell'']
Hermitshell Hard Travel Storage Carrying Case Bag
Protect your favorite device from bumps dents and scratches
Made to fit John Frieda Salon Shape 1.5 Inch Hot Air Brush
Material:EVA ,Color: Black
For sale is case only (device and accessories are sold separately)'
- source_sentence: 'Title: Stand Electric Toothbrush Heads Case Holder for Braun Oral
B'
sentences:
- 'Description: [''3 bottles of ROSE WATER & IVY Shea & Vitamin E SHOWER GELS.'']'
- 'Description: [''Package Content: 1 x Toothbrush Stand (The toothbrush, brush
heads, and charger are not included in the package.)'']
A perfect solution to organize your toothbrush, brush heads and charger in one
stand.Hold up to 4 brush heads,2 Oral B electric toothbrush.and 1 charger, (Charging
port size is only suitable for original oral b charger),(The toothbrush, brush
heads, and charger are not included in the package)
It comes with a lid that can keep your brush heads safe and clean.the holder is
made of ABS,100% Environmental protection material,safe and durable
This fit right around the toothbrush charger perfectly. the cover keeps it extra
clean and Convenient storage
Size: 19.5 * 9.5 * 3.5cm, IRLIC Stand Electric Toothbrush Heads Case Holder for
Braun Oral B
Compatible with Braun Oral-B rechargeable toothbrush, Oral B Stages Power Kids-950,
Oral B Stages Power Kids, Oral B Vitality Sensitive Clean, Oral B Pro 600, Oral
B Pro 650, Oral B Pro 700 3d white, Oral B Pro 1000, Oral B Pro 2000, Oral B Pro
3000, Oral B Pro 4000, Oral B Pro 5000, Oral B Pro 6000, Oral B Pro 7000, Oral
B Pro 8000, Oral B Genius 9000, Oral B Genius 10000n'
- 'Description: []
❤️[Short Hairstyles]- Natural Grey Wigs for White Women, 12 inch Length Bob Wigs
for Women, Heat Resistant Fiber Synthetic Hair Replacement Wigs Colored Blond
Side Parting Bangs Trendy Haircuts Wig with Free Wig Cap x 1
❤️[Hair Material]- Heat resistant hair tinsel that holds up to styling tools providing
a similar styling versatility as with human hair. The wig can also be customized
to suit your own individual look by cutting them or using a curling iron/hair
straightener. (Note: optimal temperature is 250-275 degrees, but going above 350
degrees is not recommended.)
❤️[Occasions]- Fashionable and stylish short bob wig look natural, real like human
hair wig, very pretty, and feminine, soft touch. You can wear it for parties,
Halloween, cosplay, daily use, gift sending to friends and certain themed performances,
fashion and attractive, adding more charm and fun.
❤️[Adjustable Size]- Cap size 20-22.5 inches,There are two adjustment straps inside
the wig, which can be intertwined to a fixed position to suit different head sizes.
❤️[Worry-free After-sales]- We Are Committed To Providing Customers with Quality
Products and Attentive Services, Free Returns If You Don''t Like It or a Quality
Problem.'
- source_sentence: 'Title: Sinful Colors Finger Nail Polish Color Lacquer Set 16-Piece
Collection'
sentences:
- 'Description: []
Lot of 16 Random Sinful Colors Finger Nail Polish Color Lacquer All Different
Colors No Repeats
Images for reference only
Actual color/texture may vary from the image shown
Randomly pre-packed 16 nail polishes'
- 'Description: ["Adorox Red Horn Devil Woman''s Wig Demon Angel Halloween Costume
Prop Measures about: 27 Inches Length. Perfect for a Woman''s Devil Halloween
Costume. Sized for adults and teens. One Size fits most"]
Long fiery Red hair with Horns
Measures about: 27 Inches Length
100% Polyester
Perfect for a Woman''s Devil Halloween Costume
Sized for adults and teens.'
- 'Description: [''Ovvio Oils All Natural Smooth Strength Plus Lip Balm For Chapped
Lips 0.5 oz (14.2 g)'']'
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) on the amazon-reviews-2023 dataset. It maps sentences & paragraphs to a 1024-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:** [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) <!-- at revision c54f2e6e80b2d7b7de06f51cec4959f6b3e03418 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- amazon-reviews-2023
<!-- - **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': 512, 'do_lower_case': False, 'architecture': 'Qwen3Model'})
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': True, '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("guyhadad01/EncodeRec_600M_Beauty")
# Run inference
queries = [
"Title: Sinful Colors Finger Nail Polish Color Lacquer Set 16-Piece Collection",
]
documents = [
'Description: []\nLot of 16 Random Sinful Colors Finger Nail Polish Color Lacquer All Different Colors No Repeats\nImages for reference only\nActual color/texture may vary from the image shown\nRandomly pre-packed 16 nail polishes',
"Description: ['Ovvio Oils All Natural Smooth Strength Plus Lip Balm For Chapped Lips 0.5 oz (14.2 g)']",
'Description: ["Adorox Red Horn Devil Woman\'s Wig Demon Angel Halloween Costume Prop Measures about: 27 Inches Length. Perfect for a Woman\'s Devil Halloween Costume. Sized for adults and teens. One Size fits most"]\nLong fiery Red hair with Horns\nMeasures about: 27 Inches Length\n100% Polyester\nPerfect for a Woman\'s Devil Halloween Costume\nSized for adults and teens.',
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# [1, 1024] [3, 1024]
# Get the similarity scores for the embeddings
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
# tensor([[ 0.7898, -0.0228, -0.0027]])
```
<!--
### 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
#### amazon-reviews-2023
* Dataset: amazon-reviews-2023
* Size: 21,955 training samples
* Columns: <code>title</code> and <code>description</code>
* Approximate statistics based on the first 1000 samples:
| | title | description |
|:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
| type | string | string |
| details | <ul><li>min: 6 tokens</li><li>mean: 29.97 tokens</li><li>max: 114 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 197.11 tokens</li><li>max: 512 tokens</li></ul> |
* Samples:
| title | description |
|:--------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>Title: Precision Plunger Bars for Cartridge Grips – 93mm – Bag of 10 Plungers</code> | <code>Description: ['The Precision Plunger Bars are designed to work seamlessly with the\xa0Precision Disposable 1. 25" Contoured Soft Cartridge Grips\xa0and the\xa0Precision Disposable 1" Textured Soft Cartridge Grips\xa0to drive cartridge needles with vice style or standard tattoo machine setups. These plunger bars are manufactured from 304 Stainless Steel and feature a brass tip. The plungers are sold in a bag of ten in your choice of 88mm, 93mm, or 98mm length.']<br>Material: 304 Stainless Steel; Brass tip<br>Lengths Available: 88mm, 93mm, 98mm<br>Accepts cartridge needles with vice style tattoo machines<br>Works perfectly with Precision Disposable Soft Cartridge Grips<br>Price per one bag of 10 plungers</code> |
| <code>Title: Lurrose 100Pcs Full Cover Fake Toenails Artificial Transparent Nail Tips Nail Art for DIY</code> | <code>Description: ['Description', 'The false toenails are durable with perfect length. You have the option to wear them long or clip them short, easy to trim and file them to in any length and shape you like. Plus, ABS is kind of green enviromental material, and makes the nails durable, breathable, light even no pressure on your own toenails. Fit well to your natural toenails. Non toxic, no smell, no harm to your health.', 'Feature', '- Color: As Shown.- Material: ABS.- Size: 14.3 x 7.2 x 1cm.', 'Package Including', '100 x Pieces fake toenails']<br>The false toenails are durable with perfect length. You have the option to wear them long or clip them short, easy to trim and file them to in any length and shape you like.<br>ABS is kind of green enviromental material, and makes the nails durable, breathable, light even no pressure on your own nails.<br>Fit well to your natural toenails. Non toxic, no smell, no harm to your health.<br>Wonderful as gift for girlfriend, family and friends.<br>The easiest and mo...</code> |
| <code>Title: Gold extatic Musk EDT 90ml</code> | <code>Description: ['Edt spray 3 oz design house: balmain']<br>Extatic Balmain Gold Musk By Balmain Edt Spray 3 Oz</code> |
* Loss: [<code>CachedMultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedmultiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim",
"mini_batch_size": 8,
"gather_across_devices": false
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 512
- `num_train_epochs`: 1
- `warmup_ratio`: 0.1
- `bf16`: True
- `push_to_hub`: True
- `hub_model_id`: guyhadad01/EncodeRec_600M_Beauty
- `hub_strategy`: checkpoint
- `prompts`: Instruct: Given a web search query, retrieve relevant passages that answer the query
Query:
#### 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`: 512
- `per_device_eval_batch_size`: 8
- `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`: 1.0
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `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
- `bf16`: True
- `fp16`: False
- `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}
- `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}
- `parallelism_config`: None
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `project`: huggingface
- `trackio_space_id`: trackio
- `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`: True
- `resume_from_checkpoint`: None
- `hub_model_id`: guyhadad01/EncodeRec_600M_Beauty
- `hub_strategy`: checkpoint
- `hub_private_repo`: None
- `hub_always_push`: False
- `hub_revision`: None
- `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
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: no
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: True
- `prompts`: Instruct: Given a web search query, retrieve relevant passages that answer the query
Query:
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}
</details>
### Framework Versions
- Python: 3.12.11
- Sentence Transformers: 5.1.0
- Transformers: 4.57.0
- PyTorch: 2.7.1+cu126
- Accelerate: 1.10.0
- Datasets: 3.6.0
- Tokenizers: 0.22.1
## 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",
}
```
#### CachedMultipleNegativesRankingLoss
```bibtex
@misc{gao2021scaling,
title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
year={2021},
eprint={2101.06983},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```
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