Training in progress, step 200, checkpoint
Browse files- last-checkpoint/1_Pooling/config.json +10 -0
- last-checkpoint/README.md +778 -0
- last-checkpoint/config.json +25 -0
- last-checkpoint/config_sentence_transformers.json +14 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/modules.json +20 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/sentence_bert_config.json +4 -0
- last-checkpoint/special_tokens_map.json +37 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +65 -0
- last-checkpoint/trainer_state.json +62 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.txt +0 -0
last-checkpoint/1_Pooling/config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"word_embedding_dimension": 384,
|
| 3 |
+
"pooling_mode_cls_token": false,
|
| 4 |
+
"pooling_mode_mean_tokens": true,
|
| 5 |
+
"pooling_mode_max_tokens": false,
|
| 6 |
+
"pooling_mode_mean_sqrt_len_tokens": false,
|
| 7 |
+
"pooling_mode_weightedmean_tokens": false,
|
| 8 |
+
"pooling_mode_lasttoken": false,
|
| 9 |
+
"include_prompt": true
|
| 10 |
+
}
|
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,778 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- sentence-transformers
|
| 4 |
+
- sentence-similarity
|
| 5 |
+
- feature-extraction
|
| 6 |
+
- dense
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
- dataset_size:533252
|
| 9 |
+
- loss:CachedMultipleNegativesRankingLoss
|
| 10 |
+
base_model: sentence-transformers/all-MiniLM-L6-v2
|
| 11 |
+
widget:
|
| 12 |
+
- source_sentence: "title: \nEyebrow Pencil Shaper 4 in 1 Eyebrow Pencil Sharpener\
|
| 13 |
+
\ Eyebrow Makeup Sharpening Tool DuckbillShape Sharpener Lip Liner Eyebrow and\
|
| 14 |
+
\ Eyeliner Pencils"
|
| 15 |
+
sentences:
|
| 16 |
+
- 'description
|
| 17 |
+
|
| 18 |
+
Specification Condition100 Brand New Item Type Eyebrow Pencil Sharpener Material
|
| 19 |
+
PP Size Approx4 x 2 x 2cm 16 x 08 x 08in Apply to Personal beauty salon Applicable
|
| 20 |
+
Eyebrow Pencil Wooden eyebrow pencil drawing eyebrow pencil Package List 1 x
|
| 21 |
+
Eyebrow Pencil SharpenerCUSTOMIZE YOUR BROW PENCIL Using a pencil sharpener can
|
| 22 |
+
make the eyebrow pencil into a flat and pointed shape making it easier to use
|
| 23 |
+
|
| 24 |
+
SATE With the help of the eyebrow sharpening pen base you wont hurt your hands
|
| 25 |
+
while sharpening the eyebrow pencil This brow pencil sharpener will be an indispensable
|
| 26 |
+
makeup tool
|
| 27 |
+
|
| 28 |
+
DOUBLE SIDEs Both sides A1 and A2 are suitable for peeroff eyebrow pencils while
|
| 29 |
+
sides B1 and B2 are suitable for wooden eyebrow pencils
|
| 30 |
+
|
| 31 |
+
PREMIUM Dual Pencil Sharpener is made of high quality PP material stable and
|
| 32 |
+
durable can be used for a long time to help with eyebrow mapping outlining and
|
| 33 |
+
markings
|
| 34 |
+
|
| 35 |
+
PORTABLE Our makeup sharpener is lightweight and portable you can easily put
|
| 36 |
+
it in your pocket and use it whenever you want'
|
| 37 |
+
- 'description
|
| 38 |
+
|
| 39 |
+
Hide your bra straps with the amazing bra strap clipper and get a beautiful cleavage
|
| 40 |
+
Custom fit that flatters you in any outfit Guides your shoulders and back for
|
| 41 |
+
more perfect posture Specifications Double Hearts Shape Size 15L 216W 3pcspack
|
| 42 |
+
Roundness Shape Size 15L 216W 3pcspack Hshaped Shape Size 15L 2 16W 3pcspack
|
| 43 |
+
Butterfly Shape Size 236L 2W 2pcspack Heart Shape Size 236L 2W 2pcspackConceal
|
| 44 |
+
Bra Strap
|
| 45 |
+
|
| 46 |
+
Instant Lift Support
|
| 47 |
+
|
| 48 |
+
Improve Posture
|
| 49 |
+
|
| 50 |
+
Comfortable Easy To Use
|
| 51 |
+
|
| 52 |
+
Add a Full Cup Size Instantly'
|
| 53 |
+
- 'description
|
| 54 |
+
|
| 55 |
+
Size 18 inchColor 1B Passion twist hair soft and lightEasy to install and style
|
| 56 |
+
save your money and time Highquality synthetic fiber Looks tural and stylish Suitable
|
| 57 |
+
for All Occasions Water wave crochet passion twist hair Water waves that look
|
| 58 |
+
tural and beautifulwarm twisting is a musthave for ladies water wave passion twist
|
| 59 |
+
crochet hair Is super soft and light wight No itching No smell Not easy tangle
|
| 60 |
+
and to separate Tips Combing The Passion Twist Hair Please Always Comb Bottom
|
| 61 |
+
Of Hair First And Work Your Way Up To The Root Washing Passion Twist Crochet Hair
|
| 62 |
+
Use Gently Running Water And Do Not Rub Vigorously To Maintain Curly Wet Look
|
| 63 |
+
Lightly Apply Gel Mousse Or Oil Sheen Right Care Will Help You To Extend Using
|
| 64 |
+
Time Style water wave passion twist crochet hair Material Highquality synthetic
|
| 65 |
+
fibers Color Natural Black Quantity 18 inch22 shares lot 8 packsbatchSOFT and
|
| 66 |
+
EASY TO INSTALL Passion Twist Hair Can be used wrap different hairstyle such as
|
| 67 |
+
butterfly hair distressed hair soft hair and so on Crochet Passion Twist Hair
|
| 68 |
+
soft and light easy and quick to crochet Breathable Hold The Texture Well Easy
|
| 69 |
+
to Install and style save your money and time
|
| 70 |
+
|
| 71 |
+
NATURAL and MULTI OCCASION WEAR Passion twist crochet braiding hair you can wear
|
| 72 |
+
it for party Halloween Birthday party daily use and any time you like to show
|
| 73 |
+
your charm Water waves that look natural and beautiful texture are highly similar
|
| 74 |
+
to real hair looks just like real hair warm twisting is a musthave for ladies
|
| 75 |
+
|
| 76 |
+
HIGHQUALITY SYNTHETIC FIBER Our passion twist hair is made of highquality lowtemperature
|
| 77 |
+
synthetic fibers Hot Water Setting water wave passion twist crochet hair It is
|
| 78 |
+
the best fiber material Is super soft and light weight No itching No smell Not
|
| 79 |
+
easy tangle and to separate Looks natural and stylish
|
| 80 |
+
|
| 81 |
+
WASHING INSTRUCTION When Washing Passion twist crochet hair Use Gently Running
|
| 82 |
+
Water and Do not Rub Vigorously To Maintain Fresh Curly and Wet Look Lightly Apply
|
| 83 |
+
Gel Mousse or Oil Sheen When Combing the water wave for passion twist hair Always
|
| 84 |
+
Comb Bottom of Hair First and Work Your Way Up To The Root
|
| 85 |
+
|
| 86 |
+
ABSOLUTE SATISFACTION Our Passion twist crochet hair 18 inches long 22 shares
|
| 87 |
+
per lot 8 packs per batch You can buy highquality Passion Twist Braids Hair Extensions
|
| 88 |
+
at a very favorable price If it doesnt meet your expectations just contact us
|
| 89 |
+
at once
|
| 90 |
+
|
| 91 |
+
Skin type Oily'
|
| 92 |
+
- source_sentence: "title: \nLucky Brand Lucky Number 6 Eau De Parfum Spray for Women\
|
| 93 |
+
\ 05 Ounce"
|
| 94 |
+
sentences:
|
| 95 |
+
- 'description
|
| 96 |
+
|
| 97 |
+
LUCKY NUMBER 6 by Lucky Brand for WOMEN EAU DE PARFUM SPRAY 5 OZ Launched by the
|
| 98 |
+
design house of Lucky Brand in 2006 LUCKY NUMBER 6 by Lucky Brand possesses a
|
| 99 |
+
blend of Peony Tigerlily Jasmine Tea Casheran Lotus Leaf Musk Liquid Amber Lychee
|
| 100 |
+
It is recommended for casual wearDesign House Lucky Brand
|
| 101 |
+
|
| 102 |
+
Fragrance Notes Peony Tigerlily Jasmine Tea Casheran Lotus Leaf Musk Liquid Amber
|
| 103 |
+
Lychee
|
| 104 |
+
|
| 105 |
+
Recommended Use casual'
|
| 106 |
+
- 'description
|
| 107 |
+
|
| 108 |
+
True Pride Mens AntiAging Cream Tightens Smooths Hydrates With DMAE Red Ginseng
|
| 109 |
+
Hyaluronic Acid Avocado Oil Packed full of antiaging ingredients the True Pride
|
| 110 |
+
Revitalizing AntiAging moisturizer helps to improve the appearance of even the
|
| 111 |
+
deepest wrinkles and fine lines for youngerlooking skin Designed for men looking
|
| 112 |
+
to implement the first line of defense against signs of aging this fastabsorbing
|
| 113 |
+
cream is specially formulated to nourish mens thicker skin typeTRUE PRIDE Revitalizing
|
| 114 |
+
AntiAging moisturizer helps to improve the appearance of even the deepest wrinkles
|
| 115 |
+
and fine lines for youngerlooking skin Designed for men looking to implement the
|
| 116 |
+
first line of defense against signs of aging this fastabsorbing cream is specially
|
| 117 |
+
formulated to nourish mens thicker skin type
|
| 118 |
+
|
| 119 |
+
HOW IT WORKS Hyaluronic Acid This gellike waterholding molecule retains over 1000
|
| 120 |
+
times its weight in water making it the ultimate moisturizer Red Ginseng No matter
|
| 121 |
+
what your skin type chances are ginseng can probably assist you Thats because
|
| 122 |
+
ginseng is a natural skin balancer DMAE Relaxes fine lines and wrinkles and assists
|
| 123 |
+
in firming sagging and aging skin resulting in an overall more tightened toned
|
| 124 |
+
and youthful appearance
|
| 125 |
+
|
| 126 |
+
FAST PROFESSIONAL RESULTS At True Pride we know that all men value real results
|
| 127 |
+
True Prides powerful formula mens antiaging with Hyaluronic Acid Red Ginseng Retinol
|
| 128 |
+
DMAE and Vitamins A E helps to keep your skin hydrated all day long and reduce
|
| 129 |
+
the depth of wrinkles and fine lines
|
| 130 |
+
|
| 131 |
+
SCIENCE NATURE LOVE We care about every jar of antiaging cream we sell and
|
| 132 |
+
thats why each batch undergoes independent ThirdParty tests for the accordance
|
| 133 |
+
to safety and purity We make our revitalizing antiaging cream with a combination
|
| 134 |
+
of SCIENCE NATURE LOVE When you buy our cream you can be sure that youre getting
|
| 135 |
+
an exceptional product of a perfect real high quality
|
| 136 |
+
|
| 137 |
+
BENEFITS Packed full of antiaging ingredients the True Pride Revitalizing AntiAging
|
| 138 |
+
moisturizer helps to improve the appearance of even the deepest wrinkles and fine
|
| 139 |
+
lines for youngerlooking skin Designed for men looking to implement the first
|
| 140 |
+
line of defense against signs of aging this fastabsorbing cream is specially formulated
|
| 141 |
+
to nourish mens thicker skin type'
|
| 142 |
+
- 'description
|
| 143 |
+
|
| 144 |
+
Reveal softer glowing skin using exfoliating Argan nut shell with natures two
|
| 145 |
+
super moisturizing ingredients Argan Oil and Shea Butter for a creamy cleansing
|
| 146 |
+
lather The warm sweet orange oil will awaken your senses and add a burst of sunshine
|
| 147 |
+
and Vitamin C to your day with every use This soap gently reveals smoother skin
|
| 148 |
+
and will leaving you glowing It gently exfoliates while deeply moisturizing your
|
| 149 |
+
skin with Argan Oil and Shea ButterARGAN SOAP BAR Double the hydrating nourishing
|
| 150 |
+
protective benefits of argan oil while also cleansing your skin Enriched with
|
| 151 |
+
argan oil and shea butter for the ultimate skin indulgence while gently exfoliating
|
| 152 |
+
any dry skin with crushed argan nut shell
|
| 153 |
+
|
| 154 |
+
PLEASANT FRAGRANCE Warm sweet orange oil will awaken your senses adding a burst
|
| 155 |
+
of sunshine and vitamin C to your day Use our argan exfoliating bar soap daily
|
| 156 |
+
This soap bar is not just for bathing but also for washing your hands throughout
|
| 157 |
+
the day
|
| 158 |
+
|
| 159 |
+
NO ANIMAL TESTING Free of Parabens Ethyl Alcohol Phenoxyethanol DEA Feel safe
|
| 160 |
+
incorporating Pre de Provence argan oil products into your daily beauty routine
|
| 161 |
+
Use our argan and shea butter bar soaps while bathing or hand washing throughout
|
| 162 |
+
your day
|
| 163 |
+
|
| 164 |
+
MORACCAN ARGAN OIL Used for centuries in beauty rituals by women in Morocco this
|
| 165 |
+
ultramoisturizing beauty oil provides multiple benefits and healthy radiance to
|
| 166 |
+
skin Our argan oil soap bar moisturizes and exfoliates nourishes and brightens
|
| 167 |
+
skin
|
| 168 |
+
|
| 169 |
+
DISCOVER FRENCH ARTISANAL SKINCARE AND BATH PRODUCTS Click the Pre de Provence
|
| 170 |
+
link at the top of the page to explore more of our natural and gentle products
|
| 171 |
+
from lotions and balms to hand creams body butter and oils to soaps and cleansers'
|
| 172 |
+
- source_sentence: "title: \nLANICE Light blue Short Bob Wigs with Bangs for Women\
|
| 173 |
+
\ Loose Wavy Hair Shoulder Length Wigs Synthetic Colorful Wigs for Cosplay Daily\
|
| 174 |
+
\ PartyUseLight blue12inch"
|
| 175 |
+
sentences:
|
| 176 |
+
- "description\nLANICE STORE\nPackage Includes\n1 Wig 1 Wig Cap\nProduct Details\n\
|
| 177 |
+
Length 12 inches\nColor Light blue Wigs\nCap Size This wig has soft adjustable\
|
| 178 |
+
\ straps to fit most sizeshape heads an average fit of 205 225 inches head circumference\
|
| 179 |
+
\ It also fits some kids If you are not sure please measure the head size before\
|
| 180 |
+
\ ordering\nOccasions This wig was designed for costume Halloween parties events\
|
| 181 |
+
\ and various showMaterial LANICE short wavy wigs are made of the Best Imported\
|
| 182 |
+
\ synthetic fiber natural as real hair super soft and skin friendly\nIncluding12\
|
| 183 |
+
\ inch Short Length with the curly wave design in Blue Color matching suitable\
|
| 184 |
+
\ for Coser beginner Halloween costume cosplay party1 wig 1 wig cap \nOccasions\
|
| 185 |
+
\ Perfect for cosplay party Halloween concerts theme parties weddings dating and\
|
| 186 |
+
\ any other occasions\nTips After receiving the goods shaking will make the shape\
|
| 187 |
+
\ more fluffy\nExcellent Customer ServiceLANICE provide 30 Days Noreason to return\
|
| 188 |
+
\ Please feel free to contact us if you have any questions its my honor to serve\
|
| 189 |
+
\ youso you can feel free to purchase and use"
|
| 190 |
+
- 'description
|
| 191 |
+
|
| 192 |
+
An intensive hydrating foot mask that helps remove rough dry skin and calluses
|
| 193 |
+
A precision blend of alpha hydroxy acids and rich humectants leaves feet smoother
|
| 194 |
+
softer and more hydratedSanitas Skincare
|
| 195 |
+
|
| 196 |
+
Formally Callus Cream
|
| 197 |
+
|
| 198 |
+
Smoothes and softens callused cracked hard skin feet
|
| 199 |
+
|
| 200 |
+
Exfoliating ingredients help to retexturize skin surface
|
| 201 |
+
|
| 202 |
+
Regular use helps prevent further development of calluses'
|
| 203 |
+
- 'description
|
| 204 |
+
|
| 205 |
+
These stylish headbands will ensure you look your best when going out on the town
|
| 206 |
+
or to an elegant party The black satin covered headbands will be the perfect addition
|
| 207 |
+
to your outfit for an upcoming party wedding or date night These comfortable womens
|
| 208 |
+
headbands are a necessary hair accessory to have in your collection convenient
|
| 209 |
+
for those bad hair days and comfortable enough to wear while simply lounging around
|
| 210 |
+
Each black headband is 10 mm wide or 039 inches wide You will receive 60 headbands
|
| 211 |
+
in this bulk setSATIN COVERED HEADBANDS Includes 60 pieces of kids satincovered
|
| 212 |
+
hair accessories in black with this 60pack you can create group craft projects
|
| 213 |
+
or just share the bulk pack with your family and friends
|
| 214 |
+
|
| 215 |
+
COMFORT AND STYLE The black headband does not have teeth and is comfortable to
|
| 216 |
+
wear especially on long days perfect for kids
|
| 217 |
+
|
| 218 |
+
PERFECT FOR DIY These plain satin covered headbands are perfect for crafting and
|
| 219 |
+
kids art projects decorate the headbands with ribbon rhinestone sequins or any
|
| 220 |
+
embellishments to create a unique accessory
|
| 221 |
+
|
| 222 |
+
ALL OCCASIONS Adorable everyday wear for school playtime or special occasions
|
| 223 |
+
such as weddings cheerleading holiday events photoshoots and prom the perfect
|
| 224 |
+
accessory for completing your outfits
|
| 225 |
+
|
| 226 |
+
DIMENSIONS Each headband measures 10mm 039 inches wide'
|
| 227 |
+
- source_sentence: "title: \n4Pieces 169oz Empty Hand Sanitizer Bottles Travel Plastic\
|
| 228 |
+
\ Bottle Set Refillable Empty Spray Bottle Reusable Squeezable Leak Proof Toiletries\
|
| 229 |
+
\ Container with Keychain Stretchable Lanyard 4x50ml"
|
| 230 |
+
sentences:
|
| 231 |
+
- 'description
|
| 232 |
+
|
| 233 |
+
Feature
|
| 234 |
+
|
| 235 |
+
1These empty squeeze bottles are all made of PET material 2Clear bottles can show
|
| 236 |
+
the color of the content in them so you dont have to worry about confusion when
|
| 237 |
+
using them 3The bottle capacity is 17oz which is large enough for a 7day trip
|
| 238 |
+
4Convenient Travel Accessories allow you to lighten your load while still being
|
| 239 |
+
able to bring your necessities such as shampoo conditioner and lotion 5Each leakproof
|
| 240 |
+
small container bottle adopts the spray top design which is good to create fine
|
| 241 |
+
mist and not easy to leak safe to store in your bag or pocket 6Package Contents
|
| 242 |
+
Travel Plastic Bottles X 4 Spray Head X 4 Squeeze Head X 4 Keychain X 4 Stretchable
|
| 243 |
+
Lanyard X 4
|
| 244 |
+
|
| 245 |
+
About products and services
|
| 246 |
+
|
| 247 |
+
If you are dissatisfied for any reason return your order within 30Days for full
|
| 248 |
+
refund we will always go above and beyond to ensure you are happy with your customer
|
| 249 |
+
experiencePractical design the refillable plastic bottles come with spray heads
|
| 250 |
+
and caps which can prevent leaking during traveling spray heads are easy to control
|
| 251 |
+
consumption clear design is convenient to check the rest volume and distinguish
|
| 252 |
+
the liquids inside
|
| 253 |
+
|
| 254 |
+
Convenient to carry the clear plastic travel bottles are about 50 ml 2 oz in capacity
|
| 255 |
+
and can meet your shortterm needs they are lightweight and portable with retractable
|
| 256 |
+
holders and buckles you can easily attach them to key chains key rings and bags
|
| 257 |
+
easy to carry around and get what you need in time
|
| 258 |
+
|
| 259 |
+
Compact and portable the transparent travel bottles are made of quality PET material
|
| 260 |
+
the metal lanyard holders are made of metal alloy durable and odorless safe and
|
| 261 |
+
harmless to use the lanyard holder is approx
|
| 262 |
+
|
| 263 |
+
Durable to use the mini travel bottles are made of quality plastic safe and durable
|
| 264 |
+
to use odorless and nontoxic they are reusable and easy to clean can serve you
|
| 265 |
+
for a long time the Dshaped clips are made of alloy sturdy and not easy to rust
|
| 266 |
+
or deform
|
| 267 |
+
|
| 268 |
+
Wide applications the mini portable spray bottle set can be widely applied for
|
| 269 |
+
home office business trip traveling camping shopping and other outdoor activities
|
| 270 |
+
they are also practical gifts for your family members friends colleagues and other
|
| 271 |
+
people'
|
| 272 |
+
- 'description
|
| 273 |
+
|
| 274 |
+
Why We Love It Zum Bar Soaps are made from whiffable essential oil blends infused
|
| 275 |
+
into olive coconut and castor oils and goats milk Handcrafted with ingredients
|
| 276 |
+
you can say spell and love to smell A favorite ingredient goats milk is a naturally
|
| 277 |
+
homogenized silkysoft moisturizer Its full of the good fats that help your skins
|
| 278 |
+
pH levels lock in extra hydration Boost your mood and try this Lavender Zum Bar
|
| 279 |
+
Goats Milk Soap Zum Bars contain natural mineral pigments that may stain when
|
| 280 |
+
rubbed directly on fabrics washcloths or clothingLavender Essential Oil
|
| 281 |
+
|
| 282 |
+
Very Mild
|
| 283 |
+
|
| 284 |
+
A mainstay of aromatherapy Lavender
|
| 285 |
+
|
| 286 |
+
Country of Origin United States'
|
| 287 |
+
- 'description
|
| 288 |
+
|
| 289 |
+
Name
|
| 290 |
+
|
| 291 |
+
Leeven Wig Caps Stretchable Dome Caps for Women Black
|
| 292 |
+
|
| 293 |
+
Color
|
| 294 |
+
|
| 295 |
+
Black the black color is more appropriate for customers who have black complexion
|
| 296 |
+
|
| 297 |
+
Wig Caps Size
|
| 298 |
+
|
| 299 |
+
Three SizesS size20522 inch M size22235 inch L size23525 inchplease take time
|
| 300 |
+
to measure your size to get the right size
|
| 301 |
+
|
| 302 |
+
Desgin
|
| 303 |
+
|
| 304 |
+
Stocking Wig Cap Design Thin stocking and soft fabric makes it very breathable
|
| 305 |
+
for scalp Great choice for summer timeand the thick and wide elastic band can
|
| 306 |
+
prevent wig cap and wig from slippage
|
| 307 |
+
|
| 308 |
+
Determining Head Size
|
| 309 |
+
|
| 310 |
+
This can be easier having somebody to do it for you Using a soft measuring tape
|
| 311 |
+
measure around the crown the Largest diameter around your head Start approx 2cm
|
| 312 |
+
above your eyebrows keeping the tape above your ears and around the back of your
|
| 313 |
+
head at the largest point Compare the measurement to the table below to determine
|
| 314 |
+
which size will be best1Comfortable and stretchable hair wig cap is made of soft
|
| 315 |
+
breathabledurable and stretchy nylon material which makes you feel comfortable
|
| 316 |
+
|
| 317 |
+
2Wig Cap SizeS size20522 inch M size22235 inch L size23525 inch High elasticity
|
| 318 |
+
make it super stretchable and not easy to deform
|
| 319 |
+
|
| 320 |
+
3 Stocking Wig Cap Design Thin stocking and soft fabric makes it very breathable
|
| 321 |
+
for scalp Great choice for summer time
|
| 322 |
+
|
| 323 |
+
4 Thick and Wide Elastic Band Not easy to stretch out and prevent wig cap and
|
| 324 |
+
wig from slippage'
|
| 325 |
+
- source_sentence: "title: \nAussie Daily Clean Shampoo With Pump 292 Fl Oz"
|
| 326 |
+
sentences:
|
| 327 |
+
- 'description
|
| 328 |
+
|
| 329 |
+
Aussie Men
|
| 330 |
+
|
| 331 |
+
view larger
|
| 332 |
+
|
| 333 |
+
Check Out Our Other Collections
|
| 334 |
+
|
| 335 |
+
view larger
|
| 336 |
+
|
| 337 |
+
Go Time in No Time Find Your Perfect Product
|
| 338 |
+
|
| 339 |
+
Aussie Men Daily 2in1
|
| 340 |
+
|
| 341 |
+
One step clean
|
| 342 |
+
|
| 343 |
+
Available in 135 oz 292 oz
|
| 344 |
+
|
| 345 |
+
Aussie Men Daily Clean Shampoo
|
| 346 |
+
|
| 347 |
+
Basic clean
|
| 348 |
+
|
| 349 |
+
Available in 135 oz 292 oz
|
| 350 |
+
|
| 351 |
+
Aussie Men Deep Clean Shampoo
|
| 352 |
+
|
| 353 |
+
Serious clean
|
| 354 |
+
|
| 355 |
+
Available in 135 oz 292 oz
|
| 356 |
+
|
| 357 |
+
Aussie Men Maximum Hold Gel
|
| 358 |
+
|
| 359 |
+
Strong hold
|
| 360 |
+
|
| 361 |
+
Available in 7 oz
|
| 362 |
+
|
| 363 |
+
Aussie Men Texturizing Wax
|
| 364 |
+
|
| 365 |
+
Flexible hold
|
| 366 |
+
|
| 367 |
+
Available in 17 oz
|
| 368 |
+
|
| 369 |
+
Ingredients
|
| 370 |
+
|
| 371 |
+
Water sodium lauryl sulfate sodium laureth sulfate cocamidopropyl betaine glycol
|
| 372 |
+
distearate fragranceparfum sodium citrate sodium chloride cocamide mea sodium
|
| 373 |
+
xylenesulfonate guar hydroxypropyltrimonium chloride citric acid tetrasodium edta
|
| 374 |
+
sodium benzoate methylchloroisothiazolinone methylisothiazolinoneDiscontinued
|
| 375 |
+
by Manufacturer
|
| 376 |
+
|
| 377 |
+
No frills No nonsense Just clean
|
| 378 |
+
|
| 379 |
+
No bells and whistles Cos what guy wants bells and whistles in his hair
|
| 380 |
+
|
| 381 |
+
Shampoo for Men
|
| 382 |
+
|
| 383 |
+
No Worries Guarantee Satisfaction guaranteed or your money back Call within 30
|
| 384 |
+
days of purchase Requirements include sending unused product and original dated
|
| 385 |
+
cash receipts This offer is limited to one per name household or address'
|
| 386 |
+
- 'description
|
| 387 |
+
|
| 388 |
+
Specifications
|
| 389 |
+
|
| 390 |
+
Material glitter paper
|
| 391 |
+
|
| 392 |
+
Colorpurple
|
| 393 |
+
|
| 394 |
+
Sizeabout 27222
|
| 395 |
+
|
| 396 |
+
Weight210g
|
| 397 |
+
|
| 398 |
+
Package included
|
| 399 |
+
|
| 400 |
+
1pc x eyelash storage book
|
| 401 |
+
|
| 402 |
+
Note
|
| 403 |
+
|
| 404 |
+
1 Due to the light and screen difference the items color may be slightly different
|
| 405 |
+
from the pictures
|
| 406 |
+
|
| 407 |
+
2 Please allow 052 cm differences due to manual measurementHigh QualityOur flashing
|
| 408 |
+
eyelash storage box is made of highquality paper and the eyelash tray is made
|
| 409 |
+
of durable plastic which will not harm your body or false eyelashes
|
| 410 |
+
|
| 411 |
+
Storage EyelashesThis eyelash storage book can help you store eyelashes prevent
|
| 412 |
+
false eyelashes from being crushed or damaged hold eyelashes firmly and keep them
|
| 413 |
+
beautiful
|
| 414 |
+
|
| 415 |
+
High CapacityIt can hold 16 pairs of false eyelashes to keep the shape keep it
|
| 416 |
+
clean and in a safe place
|
| 417 |
+
|
| 418 |
+
Beautiful LookThe eyelash storage box has an exquisite cover The empty false eyelash
|
| 419 |
+
storage box can be used as a gift for girlfriendmotherdaughter or other female
|
| 420 |
+
friends on birthday mothers day anniversary etc It is suitable for women and girls
|
| 421 |
+
|
| 422 |
+
Widely UsageThis eyelash book can can be used as a tool for storing eyelashes
|
| 423 |
+
at home travel to help you manage your eyelashes and also to be a good tool for
|
| 424 |
+
professional beauty salons to display eyelashes better'
|
| 425 |
+
- 'description
|
| 426 |
+
|
| 427 |
+
The France Luxe Large Cutout Oval Barrette Classic lets you easily create elegant
|
| 428 |
+
sophisticated hairstyles Ideal for most hair types this stunning hair accessory
|
| 429 |
+
is made of luxurious cellulose acetate and features a sturdy French barrette clasp
|
| 430 |
+
that securely holds hair in place The barrette is crafted in France and polished
|
| 431 |
+
for an exquisite shineBarrette creates classic timeless hairstyles
|
| 432 |
+
|
| 433 |
+
Compatible with most hair types
|
| 434 |
+
|
| 435 |
+
Made of durable cellulose acetate
|
| 436 |
+
|
| 437 |
+
Handmade in France
|
| 438 |
+
|
| 439 |
+
Measures 2 inches wide by 312 inches long'
|
| 440 |
+
datasets:
|
| 441 |
+
- guyhadad01/Amazon_2023_items_processed_filtered
|
| 442 |
+
pipeline_tag: sentence-similarity
|
| 443 |
+
library_name: sentence-transformers
|
| 444 |
+
---
|
| 445 |
+
|
| 446 |
+
# SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
|
| 447 |
+
|
| 448 |
+
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the [amazon_2023_items_processed_filtered](https://huggingface.co/datasets/guyhadad01/Amazon_2023_items_processed_filtered) dataset. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
|
| 449 |
+
|
| 450 |
+
## Model Details
|
| 451 |
+
|
| 452 |
+
### Model Description
|
| 453 |
+
- **Model Type:** Sentence Transformer
|
| 454 |
+
- **Base model:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) <!-- at revision c9745ed1d9f207416be6d2e6f8de32d1f16199bf -->
|
| 455 |
+
- **Maximum Sequence Length:** 512 tokens
|
| 456 |
+
- **Output Dimensionality:** 384 dimensions
|
| 457 |
+
- **Similarity Function:** Cosine Similarity
|
| 458 |
+
- **Training Dataset:**
|
| 459 |
+
- [amazon_2023_items_processed_filtered](https://huggingface.co/datasets/guyhadad01/Amazon_2023_items_processed_filtered)
|
| 460 |
+
<!-- - **Language:** Unknown -->
|
| 461 |
+
<!-- - **License:** Unknown -->
|
| 462 |
+
|
| 463 |
+
### Model Sources
|
| 464 |
+
|
| 465 |
+
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
|
| 466 |
+
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
|
| 467 |
+
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
|
| 468 |
+
|
| 469 |
+
### Full Model Architecture
|
| 470 |
+
|
| 471 |
+
```
|
| 472 |
+
SentenceTransformer(
|
| 473 |
+
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertModel'})
|
| 474 |
+
(1): Pooling({'word_embedding_dimension': 384, '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})
|
| 475 |
+
(2): Normalize()
|
| 476 |
+
)
|
| 477 |
+
```
|
| 478 |
+
|
| 479 |
+
## Usage
|
| 480 |
+
|
| 481 |
+
### Direct Usage (Sentence Transformers)
|
| 482 |
+
|
| 483 |
+
First install the Sentence Transformers library:
|
| 484 |
+
|
| 485 |
+
```bash
|
| 486 |
+
pip install -U sentence-transformers
|
| 487 |
+
```
|
| 488 |
+
|
| 489 |
+
Then you can load this model and run inference.
|
| 490 |
+
```python
|
| 491 |
+
from sentence_transformers import SentenceTransformer
|
| 492 |
+
|
| 493 |
+
# Download from the 🤗 Hub
|
| 494 |
+
model = SentenceTransformer("guyhadad01/EncodeRec_22M_Beauty")
|
| 495 |
+
# Run inference
|
| 496 |
+
sentences = [
|
| 497 |
+
'title: \nAussie Daily Clean Shampoo With Pump 292 Fl Oz',
|
| 498 |
+
'description\nAussie Men\nview larger\nCheck Out Our Other Collections\nview larger\nGo Time in No Time Find Your Perfect Product\nAussie Men Daily 2in1\nOne step clean\nAvailable in 135 oz 292 oz\nAussie Men Daily Clean Shampoo\nBasic clean\nAvailable in 135 oz 292 oz\nAussie Men Deep Clean Shampoo\nSerious clean\nAvailable in 135 oz 292 oz\nAussie Men Maximum Hold Gel\nStrong hold\nAvailable in 7 oz\nAussie Men Texturizing Wax\nFlexible hold\nAvailable in 17 oz\nIngredients\nWater sodium lauryl sulfate sodium laureth sulfate cocamidopropyl betaine glycol distearate fragranceparfum sodium citrate sodium chloride cocamide mea sodium xylenesulfonate guar hydroxypropyltrimonium chloride citric acid tetrasodium edta sodium benzoate methylchloroisothiazolinone methylisothiazolinoneDiscontinued by Manufacturer\nNo frills No nonsense Just clean\nNo bells and whistles Cos what guy wants bells and whistles in his hair\nShampoo for Men\nNo Worries Guarantee Satisfaction guaranteed or your money back Call within 30 days of purchase Requirements include sending unused product and original dated cash receipts This offer is limited to one per name household or address',
|
| 499 |
+
'description\nSpecifications\nMaterial glitter paper\nColorpurple\nSizeabout 27222\nWeight210g\nPackage included\n1pc x eyelash storage book\nNote\n1 Due to the light and screen difference the items color may be slightly different from the pictures\n2 Please allow 052 cm differences due to manual measurementHigh QualityOur flashing eyelash storage box is made of highquality paper and the eyelash tray is made of durable plastic which will not harm your body or false eyelashes\nStorage EyelashesThis eyelash storage book can help you store eyelashes prevent false eyelashes from being crushed or damaged hold eyelashes firmly and keep them beautiful\nHigh CapacityIt can hold 16 pairs of false eyelashes to keep the shape keep it clean and in a safe place\nBeautiful LookThe eyelash storage box has an exquisite cover The empty false eyelash storage box can be used as a gift for girlfriendmotherdaughter or other female friends on birthday mothers day anniversary etc It is suitable for women and girls\nWidely UsageThis eyelash book can can be used as a tool for storing eyelashes at home travel to help you manage your eyelashes and also to be a good tool for professional beauty salons to display eyelashes better',
|
| 500 |
+
]
|
| 501 |
+
embeddings = model.encode(sentences)
|
| 502 |
+
print(embeddings.shape)
|
| 503 |
+
# [3, 384]
|
| 504 |
+
|
| 505 |
+
# Get the similarity scores for the embeddings
|
| 506 |
+
similarities = model.similarity(embeddings, embeddings)
|
| 507 |
+
print(similarities)
|
| 508 |
+
# tensor([[ 1.0000, 0.6097, -0.0412],
|
| 509 |
+
# [ 0.6097, 1.0000, -0.0067],
|
| 510 |
+
# [-0.0412, -0.0067, 1.0000]])
|
| 511 |
+
```
|
| 512 |
+
|
| 513 |
+
<!--
|
| 514 |
+
### Direct Usage (Transformers)
|
| 515 |
+
|
| 516 |
+
<details><summary>Click to see the direct usage in Transformers</summary>
|
| 517 |
+
|
| 518 |
+
</details>
|
| 519 |
+
-->
|
| 520 |
+
|
| 521 |
+
<!--
|
| 522 |
+
### Downstream Usage (Sentence Transformers)
|
| 523 |
+
|
| 524 |
+
You can finetune this model on your own dataset.
|
| 525 |
+
|
| 526 |
+
<details><summary>Click to expand</summary>
|
| 527 |
+
|
| 528 |
+
</details>
|
| 529 |
+
-->
|
| 530 |
+
|
| 531 |
+
<!--
|
| 532 |
+
### Out-of-Scope Use
|
| 533 |
+
|
| 534 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
| 535 |
+
-->
|
| 536 |
+
|
| 537 |
+
<!--
|
| 538 |
+
## Bias, Risks and Limitations
|
| 539 |
+
|
| 540 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
| 541 |
+
-->
|
| 542 |
+
|
| 543 |
+
<!--
|
| 544 |
+
### Recommendations
|
| 545 |
+
|
| 546 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
| 547 |
+
-->
|
| 548 |
+
|
| 549 |
+
## Training Details
|
| 550 |
+
|
| 551 |
+
### Training Dataset
|
| 552 |
+
|
| 553 |
+
#### amazon_2023_items_processed_filtered
|
| 554 |
+
|
| 555 |
+
* Dataset: [amazon_2023_items_processed_filtered](https://huggingface.co/datasets/guyhadad01/Amazon_2023_items_processed_filtered) at [6b58dd1](https://huggingface.co/datasets/guyhadad01/Amazon_2023_items_processed_filtered/tree/6b58dd18854109aac31652e941c667725f6352f0)
|
| 556 |
+
* Size: 533,252 training samples
|
| 557 |
+
* Columns: <code>title</code> and <code>description</code>
|
| 558 |
+
* Approximate statistics based on the first 1000 samples:
|
| 559 |
+
| | title | description |
|
| 560 |
+
|:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
|
| 561 |
+
| type | string | string |
|
| 562 |
+
| details | <ul><li>min: 7 tokens</li><li>mean: 23.96 tokens</li><li>max: 57 tokens</li></ul> | <ul><li>min: 13 tokens</li><li>mean: 197.32 tokens</li><li>max: 512 tokens</li></ul> |
|
| 563 |
+
* Samples:
|
| 564 |
+
| title | description |
|
| 565 |
+
|:-----------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 566 |
+
| <code>title: <br>Cathy Doll LGlutathione Magic Cream SPF 50 Whitening Sunscreen 138ml</code> | <code>description<br>Extend the flawless smooth complexion from face to the whole body This super magic cream is formulated with an additional 30 LGluthathione to brighten skin tones and hydrate skin LGluthathione is known to effectively repair and restore skin and prevent premature aging Your body can now enjoy the full benefits of BB cream just like your face To create a flawless beautiful skin Cathy Doll LGluthathione Magic Cream provides high permeability with miraculous charm Natural plant extracts in an ultra soft formula can be used to hide and modify skin defects to make pores instantly disappear This cream intercepts ultra violet rays U B and C It protects the skin with its ultrahigh SPF 50 PA protection Ingredients Aqua Paraffinum Liquidum LGlutathione Glycerin Polyglyceryl2 Dipolyhydroxystearate Polyglyceryl3 Disostearate Titanium Dioxide Hydrogenated Polyisohutene Dimenthiconol Cyclomethicone Methyparaben Diazolidinyl Urea Propylparaben Fragrance CI77891 CI77491 CI77492 Directions A...</code> |
|
| 567 |
+
| <code>title: <br>LA COLORS 5 Color Matte Eyeshadow Brown Tweed 025 Oz Powder</code> | <code>description<br>Wrap yourself in soft cozy color These matte palettes are full of five silky soft and blendable shades Applies on smooth and each palette is perfectly color coordinated to shade and highlight eyes An array of shades from neutrals and bolds to create any look you desireIntense color<br>Matte finish<br>Silky texture</code> |
|
| 568 |
+
| <code>title: <br>izneet 300PCS Eyelash Mascara Brushes Multicolor Disposable Eyelash Mascara Brushes Wands Applicator Eyebrow Brush MIX</code> | <code>description<br>FEATURES 1Brand izneet 2Size Total Length393 inchBrush Length1 inch 3Package include 300 PCS MIX Eyelash Brushes Were Here For You These disposable mascara wands head is elastic can be bent slightly according to your daily needs Easy portability with compact sizefit in with most of the make up case and you can carry it in various occasions such as business tripsholidaysproms wedding performance etc Sanitary and clean constant use of same mascara brush may build up germs and lead to itchy eyes but these disposable mascara wands effectively prevent you from having itchy eyes We are Here For You Exclusive handmade black cotton band super soft flexible and easy to wear Can be reused more than 20 times with proper care More environmentally friendly Easy portability with compact size fit in with most of the make up case and you can carry it in various occasions such as business tripsholidaysproms wedding performance etc put on these thin and long false eyelashes and your ...</code> |
|
| 569 |
+
* Loss: [<code>CachedMultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedmultiplenegativesrankingloss) with these parameters:
|
| 570 |
+
```json
|
| 571 |
+
{
|
| 572 |
+
"scale": 20.0,
|
| 573 |
+
"similarity_fct": "cos_sim",
|
| 574 |
+
"mini_batch_size": 64,
|
| 575 |
+
"gather_across_devices": false
|
| 576 |
+
}
|
| 577 |
+
```
|
| 578 |
+
|
| 579 |
+
### Training Hyperparameters
|
| 580 |
+
#### Non-Default Hyperparameters
|
| 581 |
+
|
| 582 |
+
- `per_device_train_batch_size`: 512
|
| 583 |
+
- `num_train_epochs`: 1
|
| 584 |
+
- `warmup_ratio`: 0.1
|
| 585 |
+
- `bf16`: True
|
| 586 |
+
- `push_to_hub`: True
|
| 587 |
+
- `hub_model_id`: guyhadad01/EncodeRec_22M_Beauty
|
| 588 |
+
- `hub_strategy`: checkpoint
|
| 589 |
+
|
| 590 |
+
#### All Hyperparameters
|
| 591 |
+
<details><summary>Click to expand</summary>
|
| 592 |
+
|
| 593 |
+
- `overwrite_output_dir`: False
|
| 594 |
+
- `do_predict`: False
|
| 595 |
+
- `eval_strategy`: no
|
| 596 |
+
- `prediction_loss_only`: True
|
| 597 |
+
- `per_device_train_batch_size`: 512
|
| 598 |
+
- `per_device_eval_batch_size`: 8
|
| 599 |
+
- `per_gpu_train_batch_size`: None
|
| 600 |
+
- `per_gpu_eval_batch_size`: None
|
| 601 |
+
- `gradient_accumulation_steps`: 1
|
| 602 |
+
- `eval_accumulation_steps`: None
|
| 603 |
+
- `torch_empty_cache_steps`: None
|
| 604 |
+
- `learning_rate`: 5e-05
|
| 605 |
+
- `weight_decay`: 0.0
|
| 606 |
+
- `adam_beta1`: 0.9
|
| 607 |
+
- `adam_beta2`: 0.999
|
| 608 |
+
- `adam_epsilon`: 1e-08
|
| 609 |
+
- `max_grad_norm`: 1.0
|
| 610 |
+
- `num_train_epochs`: 1
|
| 611 |
+
- `max_steps`: -1
|
| 612 |
+
- `lr_scheduler_type`: linear
|
| 613 |
+
- `lr_scheduler_kwargs`: {}
|
| 614 |
+
- `warmup_ratio`: 0.1
|
| 615 |
+
- `warmup_steps`: 0
|
| 616 |
+
- `log_level`: passive
|
| 617 |
+
- `log_level_replica`: warning
|
| 618 |
+
- `log_on_each_node`: True
|
| 619 |
+
- `logging_nan_inf_filter`: True
|
| 620 |
+
- `save_safetensors`: True
|
| 621 |
+
- `save_on_each_node`: False
|
| 622 |
+
- `save_only_model`: False
|
| 623 |
+
- `restore_callback_states_from_checkpoint`: False
|
| 624 |
+
- `no_cuda`: False
|
| 625 |
+
- `use_cpu`: False
|
| 626 |
+
- `use_mps_device`: False
|
| 627 |
+
- `seed`: 42
|
| 628 |
+
- `data_seed`: None
|
| 629 |
+
- `jit_mode_eval`: False
|
| 630 |
+
- `bf16`: True
|
| 631 |
+
- `fp16`: False
|
| 632 |
+
- `fp16_opt_level`: O1
|
| 633 |
+
- `half_precision_backend`: auto
|
| 634 |
+
- `bf16_full_eval`: False
|
| 635 |
+
- `fp16_full_eval`: False
|
| 636 |
+
- `tf32`: None
|
| 637 |
+
- `local_rank`: 0
|
| 638 |
+
- `ddp_backend`: None
|
| 639 |
+
- `tpu_num_cores`: None
|
| 640 |
+
- `tpu_metrics_debug`: False
|
| 641 |
+
- `debug`: []
|
| 642 |
+
- `dataloader_drop_last`: False
|
| 643 |
+
- `dataloader_num_workers`: 0
|
| 644 |
+
- `dataloader_prefetch_factor`: None
|
| 645 |
+
- `past_index`: -1
|
| 646 |
+
- `disable_tqdm`: False
|
| 647 |
+
- `remove_unused_columns`: True
|
| 648 |
+
- `label_names`: None
|
| 649 |
+
- `load_best_model_at_end`: False
|
| 650 |
+
- `ignore_data_skip`: False
|
| 651 |
+
- `fsdp`: []
|
| 652 |
+
- `fsdp_min_num_params`: 0
|
| 653 |
+
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
|
| 654 |
+
- `fsdp_transformer_layer_cls_to_wrap`: None
|
| 655 |
+
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
|
| 656 |
+
- `parallelism_config`: None
|
| 657 |
+
- `deepspeed`: None
|
| 658 |
+
- `label_smoothing_factor`: 0.0
|
| 659 |
+
- `optim`: adamw_torch
|
| 660 |
+
- `optim_args`: None
|
| 661 |
+
- `adafactor`: False
|
| 662 |
+
- `group_by_length`: False
|
| 663 |
+
- `length_column_name`: length
|
| 664 |
+
- `project`: huggingface
|
| 665 |
+
- `trackio_space_id`: trackio
|
| 666 |
+
- `ddp_find_unused_parameters`: None
|
| 667 |
+
- `ddp_bucket_cap_mb`: None
|
| 668 |
+
- `ddp_broadcast_buffers`: False
|
| 669 |
+
- `dataloader_pin_memory`: True
|
| 670 |
+
- `dataloader_persistent_workers`: False
|
| 671 |
+
- `skip_memory_metrics`: True
|
| 672 |
+
- `use_legacy_prediction_loop`: False
|
| 673 |
+
- `push_to_hub`: True
|
| 674 |
+
- `resume_from_checkpoint`: None
|
| 675 |
+
- `hub_model_id`: guyhadad01/EncodeRec_22M_Beauty
|
| 676 |
+
- `hub_strategy`: checkpoint
|
| 677 |
+
- `hub_private_repo`: None
|
| 678 |
+
- `hub_always_push`: False
|
| 679 |
+
- `hub_revision`: None
|
| 680 |
+
- `gradient_checkpointing`: False
|
| 681 |
+
- `gradient_checkpointing_kwargs`: None
|
| 682 |
+
- `include_inputs_for_metrics`: False
|
| 683 |
+
- `include_for_metrics`: []
|
| 684 |
+
- `eval_do_concat_batches`: True
|
| 685 |
+
- `fp16_backend`: auto
|
| 686 |
+
- `push_to_hub_model_id`: None
|
| 687 |
+
- `push_to_hub_organization`: None
|
| 688 |
+
- `mp_parameters`:
|
| 689 |
+
- `auto_find_batch_size`: False
|
| 690 |
+
- `full_determinism`: False
|
| 691 |
+
- `torchdynamo`: None
|
| 692 |
+
- `ray_scope`: last
|
| 693 |
+
- `ddp_timeout`: 1800
|
| 694 |
+
- `torch_compile`: False
|
| 695 |
+
- `torch_compile_backend`: None
|
| 696 |
+
- `torch_compile_mode`: None
|
| 697 |
+
- `include_tokens_per_second`: False
|
| 698 |
+
- `include_num_input_tokens_seen`: no
|
| 699 |
+
- `neftune_noise_alpha`: None
|
| 700 |
+
- `optim_target_modules`: None
|
| 701 |
+
- `batch_eval_metrics`: False
|
| 702 |
+
- `eval_on_start`: False
|
| 703 |
+
- `use_liger_kernel`: False
|
| 704 |
+
- `liger_kernel_config`: None
|
| 705 |
+
- `eval_use_gather_object`: False
|
| 706 |
+
- `average_tokens_across_devices`: True
|
| 707 |
+
- `prompts`: None
|
| 708 |
+
- `batch_sampler`: batch_sampler
|
| 709 |
+
- `multi_dataset_batch_sampler`: proportional
|
| 710 |
+
- `router_mapping`: {}
|
| 711 |
+
- `learning_rate_mapping`: {}
|
| 712 |
+
|
| 713 |
+
</details>
|
| 714 |
+
|
| 715 |
+
### Training Logs
|
| 716 |
+
| Epoch | Step | Training Loss |
|
| 717 |
+
|:------:|:----:|:-------------:|
|
| 718 |
+
| 0.0480 | 50 | 1.1543 |
|
| 719 |
+
| 0.0960 | 100 | 0.6884 |
|
| 720 |
+
| 0.1440 | 150 | 0.5902 |
|
| 721 |
+
| 0.1919 | 200 | 0.5362 |
|
| 722 |
+
|
| 723 |
+
|
| 724 |
+
### Framework Versions
|
| 725 |
+
- Python: 3.12.11
|
| 726 |
+
- Sentence Transformers: 5.1.0
|
| 727 |
+
- Transformers: 4.57.0
|
| 728 |
+
- PyTorch: 2.7.1+cu126
|
| 729 |
+
- Accelerate: 1.10.0
|
| 730 |
+
- Datasets: 3.6.0
|
| 731 |
+
- Tokenizers: 0.22.1
|
| 732 |
+
|
| 733 |
+
## Citation
|
| 734 |
+
|
| 735 |
+
### BibTeX
|
| 736 |
+
|
| 737 |
+
#### Sentence Transformers
|
| 738 |
+
```bibtex
|
| 739 |
+
@inproceedings{reimers-2019-sentence-bert,
|
| 740 |
+
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
|
| 741 |
+
author = "Reimers, Nils and Gurevych, Iryna",
|
| 742 |
+
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
|
| 743 |
+
month = "11",
|
| 744 |
+
year = "2019",
|
| 745 |
+
publisher = "Association for Computational Linguistics",
|
| 746 |
+
url = "https://arxiv.org/abs/1908.10084",
|
| 747 |
+
}
|
| 748 |
+
```
|
| 749 |
+
|
| 750 |
+
#### CachedMultipleNegativesRankingLoss
|
| 751 |
+
```bibtex
|
| 752 |
+
@misc{gao2021scaling,
|
| 753 |
+
title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
|
| 754 |
+
author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
|
| 755 |
+
year={2021},
|
| 756 |
+
eprint={2101.06983},
|
| 757 |
+
archivePrefix={arXiv},
|
| 758 |
+
primaryClass={cs.LG}
|
| 759 |
+
}
|
| 760 |
+
```
|
| 761 |
+
|
| 762 |
+
<!--
|
| 763 |
+
## Glossary
|
| 764 |
+
|
| 765 |
+
*Clearly define terms in order to be accessible across audiences.*
|
| 766 |
+
-->
|
| 767 |
+
|
| 768 |
+
<!--
|
| 769 |
+
## Model Card Authors
|
| 770 |
+
|
| 771 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
| 772 |
+
-->
|
| 773 |
+
|
| 774 |
+
<!--
|
| 775 |
+
## Model Card Contact
|
| 776 |
+
|
| 777 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
| 778 |
+
-->
|
last-checkpoint/config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 384,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 1536,
|
| 14 |
+
"layer_norm_eps": 1e-12,
|
| 15 |
+
"max_position_embeddings": 512,
|
| 16 |
+
"model_type": "bert",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 6,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"position_embedding_type": "absolute",
|
| 21 |
+
"transformers_version": "4.57.0",
|
| 22 |
+
"type_vocab_size": 2,
|
| 23 |
+
"use_cache": true,
|
| 24 |
+
"vocab_size": 30522
|
| 25 |
+
}
|
last-checkpoint/config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "5.1.0",
|
| 4 |
+
"transformers": "4.57.0",
|
| 5 |
+
"pytorch": "2.7.1+cu126"
|
| 6 |
+
},
|
| 7 |
+
"model_type": "SentenceTransformer",
|
| 8 |
+
"prompts": {
|
| 9 |
+
"query": "",
|
| 10 |
+
"document": ""
|
| 11 |
+
},
|
| 12 |
+
"default_prompt_name": null,
|
| 13 |
+
"similarity_fn_name": "cosine"
|
| 14 |
+
}
|
last-checkpoint/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45678ca92701e2b21d762de3576e475d0d9a1bd02f16d5e2320057ec6fa09465
|
| 3 |
+
size 90864192
|
last-checkpoint/modules.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"idx": 2,
|
| 16 |
+
"name": "2",
|
| 17 |
+
"path": "2_Normalize",
|
| 18 |
+
"type": "sentence_transformers.models.Normalize"
|
| 19 |
+
}
|
| 20 |
+
]
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28e4b9ec6534cb3bfecf2195dc89b9aecba29d7b8f791ee24ecb9b2f2b2f1cf8
|
| 3 |
+
size 180608203
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9bef9076975c77b5c8cc319158c1ecd2196bb244317040f0ca1f1eedc950136
|
| 3 |
+
size 14645
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d88407aff68ef8509234fd2211bb50888896b55849641ad9180c09511a40fab
|
| 3 |
+
size 1465
|
last-checkpoint/sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 512,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"max_length": 128,
|
| 51 |
+
"model_max_length": 256,
|
| 52 |
+
"never_split": null,
|
| 53 |
+
"pad_to_multiple_of": null,
|
| 54 |
+
"pad_token": "[PAD]",
|
| 55 |
+
"pad_token_type_id": 0,
|
| 56 |
+
"padding_side": "right",
|
| 57 |
+
"sep_token": "[SEP]",
|
| 58 |
+
"stride": 0,
|
| 59 |
+
"strip_accents": null,
|
| 60 |
+
"tokenize_chinese_chars": true,
|
| 61 |
+
"tokenizer_class": "BertTokenizer",
|
| 62 |
+
"truncation_side": "right",
|
| 63 |
+
"truncation_strategy": "longest_first",
|
| 64 |
+
"unk_token": "[UNK]"
|
| 65 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.19193857965451055,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 200,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.04798464491362764,
|
| 14 |
+
"grad_norm": 2.3414368629455566,
|
| 15 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 16 |
+
"loss": 1.1543,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.09596928982725528,
|
| 21 |
+
"grad_norm": 2.155992269515991,
|
| 22 |
+
"learning_rate": 4.714285714285714e-05,
|
| 23 |
+
"loss": 0.6884,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.14395393474088292,
|
| 28 |
+
"grad_norm": 2.1222732067108154,
|
| 29 |
+
"learning_rate": 4.765208110992529e-05,
|
| 30 |
+
"loss": 0.5902,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.19193857965451055,
|
| 35 |
+
"grad_norm": 1.771121859550476,
|
| 36 |
+
"learning_rate": 4.4983991462113126e-05,
|
| 37 |
+
"loss": 0.5362,
|
| 38 |
+
"step": 200
|
| 39 |
+
}
|
| 40 |
+
],
|
| 41 |
+
"logging_steps": 50,
|
| 42 |
+
"max_steps": 1042,
|
| 43 |
+
"num_input_tokens_seen": 0,
|
| 44 |
+
"num_train_epochs": 1,
|
| 45 |
+
"save_steps": 200,
|
| 46 |
+
"stateful_callbacks": {
|
| 47 |
+
"TrainerControl": {
|
| 48 |
+
"args": {
|
| 49 |
+
"should_epoch_stop": false,
|
| 50 |
+
"should_evaluate": false,
|
| 51 |
+
"should_log": false,
|
| 52 |
+
"should_save": true,
|
| 53 |
+
"should_training_stop": false
|
| 54 |
+
},
|
| 55 |
+
"attributes": {}
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
"total_flos": 0.0,
|
| 59 |
+
"train_batch_size": 512,
|
| 60 |
+
"trial_name": null,
|
| 61 |
+
"trial_params": null
|
| 62 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1819100ad868e62f00e5b4dc07c294abf3a12b8449611db62fa6381bfc3e570a
|
| 3 |
+
size 6225
|
last-checkpoint/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|