Commit
•
f903579
1
Parent(s):
e146ca5
Push model using huggingface_hub.
Browse files- 1_Pooling/config.json +7 -0
- README.md +880 -0
- config.json +24 -0
- config_sentence_transformers.json +7 -0
- config_setfit.json +4 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
- vocab.txt +0 -0
1_Pooling/config.json
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@@ -0,0 +1,7 @@
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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README.md
ADDED
@@ -0,0 +1,880 @@
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---
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library_name: setfit
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tags:
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- setfit
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- sentence-transformers
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- text-classification
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- generated_from_setfit_trainer
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metrics:
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- accuracy
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widget:
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- text: one piece
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- text: tube
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- text: heavy weight
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- text: track
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- text: unitard
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pipeline_tag: text-classification
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inference: true
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base_model: sentence-transformers/paraphrase-mpnet-base-v2
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model-index:
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- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: Unknown
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type: unknown
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split: test
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metrics:
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- type: accuracy
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value: 0.5762331838565022
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name: Accuracy
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---
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# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
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This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
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The model has been trained using an efficient few-shot learning technique that involves:
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1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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2. Training a classification head with features from the fine-tuned Sentence Transformer.
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## Model Details
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### Model Description
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- **Model Type:** SetFit
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- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
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- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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- **Maximum Sequence Length:** 512 tokens
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- **Number of Classes:** 119 classes
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<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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### Model Sources
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57 |
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- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
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- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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63 |
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| Label | Examples |
|
64 |
+
|:------|:---------------------------------------------------------------------------------------------------|
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65 |
+
| 79 | <ul><li>'peony middle notes'</li><li>'lemon middle notes'</li><li>'coconut middle notes'</li></ul> |
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| 86 | <ul><li>'no print/no pattern'</li><li>'two tone'</li><li>'diagonal stripe'</li></ul> |
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| 37 | <ul><li>'eel skin leather'</li><li>'metal'</li><li>'raffia'</li></ul> |
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| 82 | <ul><li>'collarless'</li><li>'peaked lapel'</li><li>'front keyhole'</li></ul> |
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| 95 | <ul><li>'standard toe'</li><li>'wide toe'</li><li>'extra wide toe'</li></ul> |
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| 83 | <ul><li>'indoor'</li><li>'hike'</li><li>'beach'</li></ul> |
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| 107 | <ul><li>'surplice'</li><li>'messenger bag'</li><li>'camera bag'</li></ul> |
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| 19 | <ul><li>'mary jane'</li><li>'zip around wallet'</li><li>'tongue buckle'</li></ul> |
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| 102 | <ul><li>'slits at knee'</li><li>'slits above hips'</li><li>'front slit at hem'</li></ul> |
|
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| 35 | <ul><li>'tie'</li><li>'gem embellishment'</li><li>'caged'</li></ul> |
|
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| 18 | <ul><li>'rolo chain'</li><li>'cord bracelet'</li><li>'figaro'</li></ul> |
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| 65 | <ul><li>'wheat protein'</li><li>'rosemary ingredient'</li><li>'pea protein'</li></ul> |
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| 68 | <ul><li>'bath towel'</li><li>'art print'</li><li>'reusable bottle'</li></ul> |
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| 40 | <ul><li>'polyfill'</li><li>'silk fill'</li><li>'feather fill'</li></ul> |
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| 50 | <ul><li>'palm grip'</li><li>'carpenter hook'</li><li>'storm flap'</li></ul> |
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| 113 | <ul><li>'wide waistband'</li><li>'elastic inset'</li><li>'belt loops'</li></ul> |
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| 75 | <ul><li>'glass'</li><li>'acrylic'</li><li>'opal'</li></ul> |
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| 11 | <ul><li>'foam cups'</li><li>'wire'</li><li>'molded cups'</li></ul> |
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| 38 | <ul><li>'dual layer fabric'</li><li>'2 way stretch'</li><li>'4 way stretch'</li></ul> |
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| 63 | <ul><li>'light support'</li><li>'medium supprt'</li><li>'high support'</li></ul> |
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| 44 | <ul><li>'face'</li><li>'hand'</li><li>'neck/dècolletage'</li></ul> |
|
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| 115 | <ul><li>'soy wax'</li><li>'paraffin wax'</li></ul> |
|
87 |
+
| 42 | <ul><li>'regular'</li><li>'tailored'</li><li>'fitted'</li></ul> |
|
88 |
+
| 97 | <ul><li>'king'</li><li>'euro'</li><li>'standard'</li></ul> |
|
89 |
+
| 70 | <ul><li>'wrist length'</li><li>'above thigh'</li><li>'below bust'</li></ul> |
|
90 |
+
| 34 | <ul><li>'feminine'</li><li>'religious'</li><li>'boho'</li></ul> |
|
91 |
+
| 10 | <ul><li>'slim'</li><li>'regular'</li></ul> |
|
92 |
+
| 15 | <ul><li>'6-10 oz'</li><li>'11-20 oz'</li></ul> |
|
93 |
+
| 77 | <ul><li>'rose gold metal'</li><li>'gold plated'</li><li>'alloy'</li></ul> |
|
94 |
+
| 43 | <ul><li>'contrast inner lining'</li><li>'simple seaming'</li><li>'princess seams'</li></ul> |
|
95 |
+
| 7 | <ul><li>'neroli base notes'</li><li>'amber base notes'</li><li>'musk base notes'</li></ul> |
|
96 |
+
| 17 | <ul><li>'spot clean'</li><li>'dry clean'</li><li>'microwave safe'</li></ul> |
|
97 |
+
| 8 | <ul><li>'nourishing'</li><li>'firming'</li><li>'soothing/healing'</li></ul> |
|
98 |
+
| 103 | <ul><li>'lugged soles'</li><li>'non marking soles'</li></ul> |
|
99 |
+
| 26 | <ul><li>'wall control'</li><li>'switch control'</li></ul> |
|
100 |
+
| 99 | <ul><li>'fitted sleeves'</li><li>'fitted sleeve'</li><li>'structured sleeves'</li></ul> |
|
101 |
+
| 33 | <ul><li>'rim'</li><li>'feet'</li><li>'5 panel construction'</li></ul> |
|
102 |
+
| 64 | <ul><li>'mineral oil free'</li><li>'propylene glycol free'</li><li>'paraffin free'</li></ul> |
|
103 |
+
| 96 | <ul><li>'double strap'</li><li>'spaghetti straps'</li><li>'thin straps'</li></ul> |
|
104 |
+
| 1 | <ul><li>'shoulder back'</li><li>'full coverage'</li><li>'low back'</li></ul> |
|
105 |
+
| 62 | <ul><li>'rustic'</li><li>'coastal'</li><li>'scandinavian'</li></ul> |
|
106 |
+
| 39 | <ul><li>'metallic'</li><li>'swiss dot'</li><li>'base layer'</li></ul> |
|
107 |
+
| 60 | <ul><li>'halloween'</li><li>'christmas holiday'</li></ul> |
|
108 |
+
| 92 | <ul><li>'seamless'</li><li>'mid rise waist seam'</li><li>'flat seam'</li></ul> |
|
109 |
+
| 114 | <ul><li>'ultra high rise'</li><li>'mid rise'</li><li>'high waisted'</li></ul> |
|
110 |
+
| 105 | <ul><li>'top handle'</li><li>'detachable straps'</li><li>'chain strap'</li></ul> |
|
111 |
+
| 90 | <ul><li>'floral'</li><li>'psychedelic print'</li><li>'paisley'</li></ul> |
|
112 |
+
| 91 | <ul><li>'night'</li><li>'day'</li></ul> |
|
113 |
+
| 45 | <ul><li>'serum formulation'</li><li>'cream/creme'</li><li>'solid'</li></ul> |
|
114 |
+
| 59 | <ul><li>'strong hold'</li><li>'flexible hold'</li></ul> |
|
115 |
+
| 46 | <ul><li>'leather'</li><li>'fresh aquatic'</li><li>'green aromatic'</li></ul> |
|
116 |
+
| 21 | <ul><li>'matte'</li><li>'metallic'</li><li>'olive'</li></ul> |
|
117 |
+
| 69 | <ul><li>'cinnamon key notes'</li><li>'violet key notes'</li><li>'pepper key notes'</li></ul> |
|
118 |
+
| 101 | <ul><li>'dropped shoulder'</li><li>'puff shoulder'</li><li>'flutter sleeve'</li></ul> |
|
119 |
+
| 61 | <ul><li>'summer'</li><li>'everyday'</li><li>'indoor'</li></ul> |
|
120 |
+
| 104 | <ul><li>'wedding guest'</li><li>'bridal'</li><li>'halloween'</li></ul> |
|
121 |
+
| 32 | <ul><li>'indigo wash'</li><li>'acid wash'</li><li>'stonewash'</li></ul> |
|
122 |
+
| 51 | <ul><li>'still life graphic'</li><li>'sports graphic'</li><li>'star wars'</li></ul> |
|
123 |
+
| 48 | <ul><li>'beige'</li><li>'black'</li><li>'rose gold frame'</li></ul> |
|
124 |
+
| 87 | <ul><li>'medium pile'</li><li>'low pile'</li></ul> |
|
125 |
+
| 22 | <ul><li>'bright'</li><li>'pastel'</li><li>'light'</li></ul> |
|
126 |
+
| 41 | <ul><li>'matte finish'</li><li>'shiny finish'</li></ul> |
|
127 |
+
| 93 | <ul><li>'no buckle'</li><li>'geometric shape'</li><li>'straight silhouette'</li></ul> |
|
128 |
+
| 71 | <ul><li>'polarized'</li><li>'color tinted'</li><li>'mirrored'</li></ul> |
|
129 |
+
| 2 | <ul><li>'split back'</li><li>'racer back'</li><li>'open back'</li></ul> |
|
130 |
+
| 89 | <ul><li>'round stitch pocket'</li><li>'seam pocket'</li><li>'kangaroo pocket'</li></ul> |
|
131 |
+
| 20 | <ul><li>'removable hoodie'</li><li>'packable hood collar'</li><li>'hooded'</li></ul> |
|
132 |
+
| 52 | <ul><li>'thick'</li><li>'medium thick'</li></ul> |
|
133 |
+
| 55 | <ul><li>'amber head notes'</li><li>'lime head notes'</li><li>'musk head notes'</li></ul> |
|
134 |
+
| 58 | <ul><li>'back curved hem'</li><li>'twist hem'</li><li>'ribbed hem'</li></ul> |
|
135 |
+
| 118 | <ul><li>'light wood'</li><li>'medium wood'</li></ul> |
|
136 |
+
| 25 | <ul><li>'gifts for him'</li><li>'apres ski'</li><li>'cozy'</li></ul> |
|
137 |
+
| 109 | <ul><li>'closed toe'</li><li>'square toe'</li><li>'round toe'</li></ul> |
|
138 |
+
| 30 | <ul><li>'extended cuffs'</li><li>'storm cuffs'</li><li>'elastic cuff'</li></ul> |
|
139 |
+
| 24 | <ul><li>'ingrown hairs'</li><li>'frizz'</li><li>'redness'</li></ul> |
|
140 |
+
| 9 | <ul><li>'high cut'</li><li>'string bikini'</li></ul> |
|
141 |
+
| 94 | <ul><li>'opaque'</li><li>'sheer'</li></ul> |
|
142 |
+
| 16 | <ul><li>'2 card slot'</li><li>'card slots'</li></ul> |
|
143 |
+
| 78 | <ul><li>'gothcore'</li><li>'vanilla girl'</li><li>'dyed out'</li></ul> |
|
144 |
+
| 4 | <ul><li>'layered'</li><li>'bangle'</li><li>'cuff'</li></ul> |
|
145 |
+
| 23 | <ul><li>'parfum'</li><li>'eau de toilette'</li></ul> |
|
146 |
+
| 111 | <ul><li>'delicate'</li><li>'statement'</li></ul> |
|
147 |
+
| 12 | <ul><li>'flat brim'</li><li>'curved brim'</li><li>'fold over brim'</li></ul> |
|
148 |
+
| 98 | <ul><li>'dry'</li><li>'acne prone'</li><li>'mature'</li></ul> |
|
149 |
+
| 57 | <ul><li>'stacked heel'</li><li>'kitten heel'</li><li>'cone heel'</li></ul> |
|
150 |
+
| 67 | <ul><li>'id slot'</li><li>'interior pocket'</li><li>'interior zipper pocket'</li></ul> |
|
151 |
+
| 31 | <ul><li>'light wash'</li><li>'medium wash'</li><li>'colored'</li></ul> |
|
152 |
+
| 85 | <ul><li>'detailed stitching pant'</li><li>'simple seaming'</li></ul> |
|
153 |
+
| 116 | <ul><li>'knotted'</li><li>'percale'</li><li>'waffle weave'</li></ul> |
|
154 |
+
| 88 | <ul><li>'shag'</li><li>'cut pile'</li></ul> |
|
155 |
+
| 74 | <ul><li>'study hall'</li><li>'y2k'</li><li>'enchanted'</li></ul> |
|
156 |
+
| 72 | <ul><li>'fur'</li><li>'fleece'</li><li>'mesh'</li></ul> |
|
157 |
+
| 108 | <ul><li>'animal'</li><li>'love'</li></ul> |
|
158 |
+
| 73 | <ul><li>'unlined'</li><li>'fully lined'</li><li>'partially lined'</li></ul> |
|
159 |
+
| 13 | <ul><li>'wide brim'</li><li>'medium brim'</li></ul> |
|
160 |
+
| 76 | <ul><li>'bpa free material'</li><li>'scratch resistant material'</li></ul> |
|
161 |
+
| 54 | <ul><li>'straight handle'</li><li>'curved handle'</li></ul> |
|
162 |
+
| 100 | <ul><li>'rolled up sleeves'</li><li>'3/4 sleeve'</li><li>'bracelet length'</li></ul> |
|
163 |
+
| 84 | <ul><li>'manual open'</li><li>'auto open'</li></ul> |
|
164 |
+
| 14 | <ul><li>'wide'</li><li>'medium'</li></ul> |
|
165 |
+
| 27 | <ul><li>'superhero'</li><li>'disney'</li></ul> |
|
166 |
+
| 49 | <ul><li>'half rim'</li><li>'full rim'</li></ul> |
|
167 |
+
| 29 | <ul><li>'tall crown'</li><li>'short crown'</li></ul> |
|
168 |
+
| 106 | <ul><li>'low stretch'</li><li>'non stretch'</li></ul> |
|
169 |
+
| 112 | <ul><li>'mid vamp'</li><li>'high vamp'</li></ul> |
|
170 |
+
| 66 | <ul><li>'large interior'</li><li>'medium interior'</li><li>'small interior'</li></ul> |
|
171 |
+
| 53 | <ul><li>'all hair types'</li><li>'damaged/dry hair'</li></ul> |
|
172 |
+
| 117 | <ul><li>'light weight'</li><li>'mid weight'</li></ul> |
|
173 |
+
| 81 | <ul><li>'low cut'</li><li>'mid chest neckline'</li><li>'open front'</li></ul> |
|
174 |
+
| 5 | <ul><li>'thin band'</li><li>'soft band elastic'</li><li>'elastic band'</li></ul> |
|
175 |
+
| 28 | <ul><li>'flat top crown'</li><li>'round crown'</li><li>'no crown'</li></ul> |
|
176 |
+
| 56 | <ul><li>'ultra high heel'</li><li>'mid heel'</li><li>'high heel'</li></ul> |
|
177 |
+
| 110 | <ul><li>'relaxed'</li><li>'tailored'</li></ul> |
|
178 |
+
| 47 | <ul><li>'uplifting'</li><li>'bold'</li></ul> |
|
179 |
+
| 3 | <ul><li>'changing pad'</li><li>'bottle pocket'</li></ul> |
|
180 |
+
| 0 | <ul><li>'squeeze dispenser'</li><li>'dropper'</li></ul> |
|
181 |
+
| 80 | <ul><li>'wall mount'</li><li>'ceiling mount'</li></ul> |
|
182 |
+
| 6 | <ul><li>'medium'</li><li>'wide'</li></ul> |
|
183 |
+
| 36 | <ul><li>'exterior pocket'</li><li>'exterior snap pocket'</li></ul> |
|
184 |
+
|
185 |
+
## Evaluation
|
186 |
+
|
187 |
+
### Metrics
|
188 |
+
| Label | Accuracy |
|
189 |
+
|:--------|:---------|
|
190 |
+
| **all** | 0.5762 |
|
191 |
+
|
192 |
+
## Uses
|
193 |
+
|
194 |
+
### Direct Use for Inference
|
195 |
+
|
196 |
+
First install the SetFit library:
|
197 |
+
|
198 |
+
```bash
|
199 |
+
pip install setfit
|
200 |
+
```
|
201 |
+
|
202 |
+
Then you can load this model and run inference.
|
203 |
+
|
204 |
+
```python
|
205 |
+
from setfit import SetFitModel
|
206 |
+
|
207 |
+
# Download from the 🤗 Hub
|
208 |
+
model = SetFitModel.from_pretrained("kaustubhgap/kaustubh_setfit")
|
209 |
+
# Run inference
|
210 |
+
preds = model("tube")
|
211 |
+
```
|
212 |
+
|
213 |
+
<!--
|
214 |
+
### Downstream Use
|
215 |
+
|
216 |
+
*List how someone could finetune this model on their own dataset.*
|
217 |
+
-->
|
218 |
+
|
219 |
+
<!--
|
220 |
+
### Out-of-Scope Use
|
221 |
+
|
222 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
223 |
+
-->
|
224 |
+
|
225 |
+
<!--
|
226 |
+
## Bias, Risks and Limitations
|
227 |
+
|
228 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
229 |
+
-->
|
230 |
+
|
231 |
+
<!--
|
232 |
+
### Recommendations
|
233 |
+
|
234 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
235 |
+
-->
|
236 |
+
|
237 |
+
## Training Details
|
238 |
+
|
239 |
+
### Training Set Metrics
|
240 |
+
| Training set | Min | Median | Max |
|
241 |
+
|:-------------|:----|:-------|:----|
|
242 |
+
| Word count | 1 | 1.7047 | 6 |
|
243 |
+
|
244 |
+
| Label | Training Sample Count |
|
245 |
+
|:------|:----------------------|
|
246 |
+
| 0 | 2 |
|
247 |
+
| 1 | 5 |
|
248 |
+
| 2 | 12 |
|
249 |
+
| 3 | 2 |
|
250 |
+
| 4 | 6 |
|
251 |
+
| 5 | 3 |
|
252 |
+
| 6 | 2 |
|
253 |
+
| 7 | 12 |
|
254 |
+
| 8 | 16 |
|
255 |
+
| 9 | 2 |
|
256 |
+
| 10 | 2 |
|
257 |
+
| 11 | 11 |
|
258 |
+
| 12 | 4 |
|
259 |
+
| 13 | 2 |
|
260 |
+
| 14 | 2 |
|
261 |
+
| 15 | 2 |
|
262 |
+
| 16 | 2 |
|
263 |
+
| 17 | 6 |
|
264 |
+
| 18 | 9 |
|
265 |
+
| 19 | 63 |
|
266 |
+
| 20 | 8 |
|
267 |
+
| 21 | 31 |
|
268 |
+
| 22 | 6 |
|
269 |
+
| 23 | 2 |
|
270 |
+
| 24 | 13 |
|
271 |
+
| 25 | 5 |
|
272 |
+
| 26 | 2 |
|
273 |
+
| 27 | 2 |
|
274 |
+
| 28 | 3 |
|
275 |
+
| 29 | 2 |
|
276 |
+
| 30 | 13 |
|
277 |
+
| 31 | 3 |
|
278 |
+
| 32 | 7 |
|
279 |
+
| 33 | 22 |
|
280 |
+
| 34 | 12 |
|
281 |
+
| 35 | 102 |
|
282 |
+
| 36 | 2 |
|
283 |
+
| 37 | 119 |
|
284 |
+
| 38 | 34 |
|
285 |
+
| 39 | 32 |
|
286 |
+
| 40 | 6 |
|
287 |
+
| 41 | 2 |
|
288 |
+
| 42 | 13 |
|
289 |
+
| 43 | 17 |
|
290 |
+
| 44 | 5 |
|
291 |
+
| 45 | 10 |
|
292 |
+
| 46 | 6 |
|
293 |
+
| 47 | 2 |
|
294 |
+
| 48 | 10 |
|
295 |
+
| 49 | 2 |
|
296 |
+
| 50 | 91 |
|
297 |
+
| 51 | 13 |
|
298 |
+
| 52 | 2 |
|
299 |
+
| 53 | 2 |
|
300 |
+
| 54 | 2 |
|
301 |
+
| 55 | 12 |
|
302 |
+
| 56 | 4 |
|
303 |
+
| 57 | 7 |
|
304 |
+
| 58 | 17 |
|
305 |
+
| 59 | 2 |
|
306 |
+
| 60 | 2 |
|
307 |
+
| 61 | 7 |
|
308 |
+
| 62 | 9 |
|
309 |
+
| 63 | 3 |
|
310 |
+
| 64 | 14 |
|
311 |
+
| 65 | 53 |
|
312 |
+
| 66 | 3 |
|
313 |
+
| 67 | 6 |
|
314 |
+
| 68 | 41 |
|
315 |
+
| 69 | 41 |
|
316 |
+
| 70 | 33 |
|
317 |
+
| 71 | 5 |
|
318 |
+
| 72 | 5 |
|
319 |
+
| 73 | 4 |
|
320 |
+
| 74 | 7 |
|
321 |
+
| 75 | 49 |
|
322 |
+
| 76 | 2 |
|
323 |
+
| 77 | 23 |
|
324 |
+
| 78 | 11 |
|
325 |
+
| 79 | 12 |
|
326 |
+
| 80 | 2 |
|
327 |
+
| 81 | 5 |
|
328 |
+
| 82 | 33 |
|
329 |
+
| 83 | 33 |
|
330 |
+
| 84 | 2 |
|
331 |
+
| 85 | 2 |
|
332 |
+
| 86 | 17 |
|
333 |
+
| 87 | 2 |
|
334 |
+
| 88 | 2 |
|
335 |
+
| 89 | 10 |
|
336 |
+
| 90 | 29 |
|
337 |
+
| 91 | 2 |
|
338 |
+
| 92 | 8 |
|
339 |
+
| 93 | 21 |
|
340 |
+
| 94 | 2 |
|
341 |
+
| 95 | 3 |
|
342 |
+
| 96 | 5 |
|
343 |
+
| 97 | 10 |
|
344 |
+
| 98 | 5 |
|
345 |
+
| 99 | 6 |
|
346 |
+
| 100 | 6 |
|
347 |
+
| 101 | 12 |
|
348 |
+
| 102 | 13 |
|
349 |
+
| 103 | 2 |
|
350 |
+
| 104 | 10 |
|
351 |
+
| 105 | 28 |
|
352 |
+
| 106 | 2 |
|
353 |
+
| 107 | 321 |
|
354 |
+
| 108 | 2 |
|
355 |
+
| 109 | 10 |
|
356 |
+
| 110 | 2 |
|
357 |
+
| 111 | 2 |
|
358 |
+
| 112 | 2 |
|
359 |
+
| 113 | 15 |
|
360 |
+
| 114 | 4 |
|
361 |
+
| 115 | 2 |
|
362 |
+
| 116 | 5 |
|
363 |
+
| 117 | 2 |
|
364 |
+
| 118 | 2 |
|
365 |
+
|
366 |
+
### Training Hyperparameters
|
367 |
+
- batch_size: (16, 16)
|
368 |
+
- num_epochs: (5, 5)
|
369 |
+
- max_steps: -1
|
370 |
+
- sampling_strategy: oversampling
|
371 |
+
- num_iterations: 20
|
372 |
+
- body_learning_rate: (2e-05, 1e-05)
|
373 |
+
- head_learning_rate: 0.01
|
374 |
+
- loss: CosineSimilarityLoss
|
375 |
+
- distance_metric: cosine_distance
|
376 |
+
- margin: 0.25
|
377 |
+
- end_to_end: False
|
378 |
+
- use_amp: False
|
379 |
+
- warmup_proportion: 0.1
|
380 |
+
- seed: 42
|
381 |
+
- eval_max_steps: -1
|
382 |
+
- load_best_model_at_end: False
|
383 |
+
|
384 |
+
### Training Results
|
385 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
386 |
+
|:------:|:-----:|:-------------:|:---------------:|
|
387 |
+
| 0.0002 | 1 | 0.2895 | - |
|
388 |
+
| 0.0112 | 50 | 0.2531 | - |
|
389 |
+
| 0.0225 | 100 | 0.2622 | - |
|
390 |
+
| 0.0337 | 150 | 0.2535 | - |
|
391 |
+
| 0.0449 | 200 | 0.2144 | - |
|
392 |
+
| 0.0561 | 250 | 0.206 | - |
|
393 |
+
| 0.0674 | 300 | 0.1583 | - |
|
394 |
+
| 0.0786 | 350 | 0.1384 | - |
|
395 |
+
| 0.0898 | 400 | 0.1778 | - |
|
396 |
+
| 0.1011 | 450 | 0.2111 | - |
|
397 |
+
| 0.1123 | 500 | 0.1791 | - |
|
398 |
+
| 0.1235 | 550 | 0.2198 | - |
|
399 |
+
| 0.1347 | 600 | 0.0918 | - |
|
400 |
+
| 0.1460 | 650 | 0.1027 | - |
|
401 |
+
| 0.1572 | 700 | 0.1837 | - |
|
402 |
+
| 0.1684 | 750 | 0.1762 | - |
|
403 |
+
| 0.1797 | 800 | 0.1552 | - |
|
404 |
+
| 0.1909 | 850 | 0.2045 | - |
|
405 |
+
| 0.2021 | 900 | 0.1338 | - |
|
406 |
+
| 0.2133 | 950 | 0.0495 | - |
|
407 |
+
| 0.2246 | 1000 | 0.1136 | - |
|
408 |
+
| 0.2358 | 1050 | 0.0878 | - |
|
409 |
+
| 0.2470 | 1100 | 0.1671 | - |
|
410 |
+
| 0.2583 | 1150 | 0.0791 | - |
|
411 |
+
| 0.2695 | 1200 | 0.1332 | - |
|
412 |
+
| 0.2807 | 1250 | 0.0712 | - |
|
413 |
+
| 0.2919 | 1300 | 0.1853 | - |
|
414 |
+
| 0.3032 | 1350 | 0.134 | - |
|
415 |
+
| 0.3144 | 1400 | 0.1123 | - |
|
416 |
+
| 0.3256 | 1450 | 0.0525 | - |
|
417 |
+
| 0.3369 | 1500 | 0.0901 | - |
|
418 |
+
| 0.3481 | 1550 | 0.1554 | - |
|
419 |
+
| 0.3593 | 1600 | 0.0417 | - |
|
420 |
+
| 0.3705 | 1650 | 0.0762 | - |
|
421 |
+
| 0.3818 | 1700 | 0.0155 | - |
|
422 |
+
| 0.3930 | 1750 | 0.0115 | - |
|
423 |
+
| 0.4042 | 1800 | 0.0665 | - |
|
424 |
+
| 0.4155 | 1850 | 0.0578 | - |
|
425 |
+
| 0.4267 | 1900 | 0.0271 | - |
|
426 |
+
| 0.4379 | 1950 | 0.1374 | - |
|
427 |
+
| 0.4491 | 2000 | 0.1125 | - |
|
428 |
+
| 0.4604 | 2050 | 0.0304 | - |
|
429 |
+
| 0.4716 | 2100 | 0.0636 | - |
|
430 |
+
| 0.4828 | 2150 | 0.0668 | - |
|
431 |
+
| 0.4940 | 2200 | 0.1055 | - |
|
432 |
+
| 0.5053 | 2250 | 0.1147 | - |
|
433 |
+
| 0.5165 | 2300 | 0.0358 | - |
|
434 |
+
| 0.5277 | 2350 | 0.1516 | - |
|
435 |
+
| 0.5390 | 2400 | 0.008 | - |
|
436 |
+
| 0.5502 | 2450 | 0.082 | - |
|
437 |
+
| 0.5614 | 2500 | 0.0937 | - |
|
438 |
+
| 0.5726 | 2550 | 0.1382 | - |
|
439 |
+
| 0.5839 | 2600 | 0.0527 | - |
|
440 |
+
| 0.5951 | 2650 | 0.1091 | - |
|
441 |
+
| 0.6063 | 2700 | 0.0031 | - |
|
442 |
+
| 0.6176 | 2750 | 0.0181 | - |
|
443 |
+
| 0.6288 | 2800 | 0.1366 | - |
|
444 |
+
| 0.6400 | 2850 | 0.0178 | - |
|
445 |
+
| 0.6512 | 2900 | 0.0571 | - |
|
446 |
+
| 0.6625 | 2950 | 0.0271 | - |
|
447 |
+
| 0.6737 | 3000 | 0.0368 | - |
|
448 |
+
| 0.6849 | 3050 | 0.0652 | - |
|
449 |
+
| 0.6962 | 3100 | 0.0858 | - |
|
450 |
+
| 0.7074 | 3150 | 0.016 | - |
|
451 |
+
| 0.7186 | 3200 | 0.0318 | - |
|
452 |
+
| 0.7298 | 3250 | 0.0119 | - |
|
453 |
+
| 0.7411 | 3300 | 0.0314 | - |
|
454 |
+
| 0.7523 | 3350 | 0.008 | - |
|
455 |
+
| 0.7635 | 3400 | 0.0192 | - |
|
456 |
+
| 0.7748 | 3450 | 0.0363 | - |
|
457 |
+
| 0.7860 | 3500 | 0.0474 | - |
|
458 |
+
| 0.7972 | 3550 | 0.0172 | - |
|
459 |
+
| 0.8084 | 3600 | 0.0308 | - |
|
460 |
+
| 0.8197 | 3650 | 0.1168 | - |
|
461 |
+
| 0.8309 | 3700 | 0.0367 | - |
|
462 |
+
| 0.8421 | 3750 | 0.1572 | - |
|
463 |
+
| 0.8534 | 3800 | 0.0865 | - |
|
464 |
+
| 0.8646 | 3850 | 0.0124 | - |
|
465 |
+
| 0.8758 | 3900 | 0.0674 | - |
|
466 |
+
| 0.8870 | 3950 | 0.0534 | - |
|
467 |
+
| 0.8983 | 4000 | 0.0042 | - |
|
468 |
+
| 0.9095 | 4050 | 0.0503 | - |
|
469 |
+
| 0.9207 | 4100 | 0.0753 | - |
|
470 |
+
| 0.9320 | 4150 | 0.0079 | - |
|
471 |
+
| 0.9432 | 4200 | 0.1386 | - |
|
472 |
+
| 0.9544 | 4250 | 0.0693 | - |
|
473 |
+
| 0.9656 | 4300 | 0.0505 | - |
|
474 |
+
| 0.9769 | 4350 | 0.0153 | - |
|
475 |
+
| 0.9881 | 4400 | 0.0456 | - |
|
476 |
+
| 0.9993 | 4450 | 0.077 | - |
|
477 |
+
| 1.0 | 4453 | - | 0.1885 |
|
478 |
+
| 1.0106 | 4500 | 0.0107 | - |
|
479 |
+
| 1.0218 | 4550 | 0.0533 | - |
|
480 |
+
| 1.0330 | 4600 | 0.0069 | - |
|
481 |
+
| 1.0442 | 4650 | 0.0073 | - |
|
482 |
+
| 1.0555 | 4700 | 0.0521 | - |
|
483 |
+
| 1.0667 | 4750 | 0.0084 | - |
|
484 |
+
| 1.0779 | 4800 | 0.0443 | - |
|
485 |
+
| 1.0892 | 4850 | 0.0504 | - |
|
486 |
+
| 1.1004 | 4900 | 0.0445 | - |
|
487 |
+
| 1.1116 | 4950 | 0.0169 | - |
|
488 |
+
| 1.1228 | 5000 | 0.016 | - |
|
489 |
+
| 1.1341 | 5050 | 0.0046 | - |
|
490 |
+
| 1.1453 | 5100 | 0.0103 | - |
|
491 |
+
| 1.1565 | 5150 | 0.0404 | - |
|
492 |
+
| 1.1678 | 5200 | 0.0117 | - |
|
493 |
+
| 1.1790 | 5250 | 0.0399 | - |
|
494 |
+
| 1.1902 | 5300 | 0.0598 | - |
|
495 |
+
| 1.2014 | 5350 | 0.015 | - |
|
496 |
+
| 1.2127 | 5400 | 0.0048 | - |
|
497 |
+
| 1.2239 | 5450 | 0.0047 | - |
|
498 |
+
| 1.2351 | 5500 | 0.0042 | - |
|
499 |
+
| 1.2464 | 5550 | 0.0106 | - |
|
500 |
+
| 1.2576 | 5600 | 0.0041 | - |
|
501 |
+
| 1.2688 | 5650 | 0.1593 | - |
|
502 |
+
| 1.2800 | 5700 | 0.0386 | - |
|
503 |
+
| 1.2913 | 5750 | 0.0059 | - |
|
504 |
+
| 1.3025 | 5800 | 0.0043 | - |
|
505 |
+
| 1.3137 | 5850 | 0.0039 | - |
|
506 |
+
| 1.3249 | 5900 | 0.0101 | - |
|
507 |
+
| 1.3362 | 5950 | 0.0043 | - |
|
508 |
+
| 1.3474 | 6000 | 0.0056 | - |
|
509 |
+
| 1.3586 | 6050 | 0.002 | - |
|
510 |
+
| 1.3699 | 6100 | 0.0064 | - |
|
511 |
+
| 1.3811 | 6150 | 0.0106 | - |
|
512 |
+
| 1.3923 | 6200 | 0.03 | - |
|
513 |
+
| 1.4035 | 6250 | 0.0945 | - |
|
514 |
+
| 1.4148 | 6300 | 0.0025 | - |
|
515 |
+
| 1.4260 | 6350 | 0.0631 | - |
|
516 |
+
| 1.4372 | 6400 | 0.0068 | - |
|
517 |
+
| 1.4485 | 6450 | 0.0583 | - |
|
518 |
+
| 1.4597 | 6500 | 0.0015 | - |
|
519 |
+
| 1.4709 | 6550 | 0.0042 | - |
|
520 |
+
| 1.4821 | 6600 | 0.0093 | - |
|
521 |
+
| 1.4934 | 6650 | 0.0046 | - |
|
522 |
+
| 1.5046 | 6700 | 0.009 | - |
|
523 |
+
| 1.5158 | 6750 | 0.0279 | - |
|
524 |
+
| 1.5271 | 6800 | 0.0357 | - |
|
525 |
+
| 1.5383 | 6850 | 0.0282 | - |
|
526 |
+
| 1.5495 | 6900 | 0.0188 | - |
|
527 |
+
| 1.5607 | 6950 | 0.0405 | - |
|
528 |
+
| 1.5720 | 7000 | 0.0645 | - |
|
529 |
+
| 1.5832 | 7050 | 0.0066 | - |
|
530 |
+
| 1.5944 | 7100 | 0.0205 | - |
|
531 |
+
| 1.6057 | 7150 | 0.0038 | - |
|
532 |
+
| 1.6169 | 7200 | 0.0696 | - |
|
533 |
+
| 1.6281 | 7250 | 0.0055 | - |
|
534 |
+
| 1.6393 | 7300 | 0.0034 | - |
|
535 |
+
| 1.6506 | 7350 | 0.006 | - |
|
536 |
+
| 1.6618 | 7400 | 0.015 | - |
|
537 |
+
| 1.6730 | 7450 | 0.0023 | - |
|
538 |
+
| 1.6843 | 7500 | 0.0173 | - |
|
539 |
+
| 1.6955 | 7550 | 0.0601 | - |
|
540 |
+
| 1.7067 | 7600 | 0.0039 | - |
|
541 |
+
| 1.7179 | 7650 | 0.0201 | - |
|
542 |
+
| 1.7292 | 7700 | 0.0206 | - |
|
543 |
+
| 1.7404 | 7750 | 0.0042 | - |
|
544 |
+
| 1.7516 | 7800 | 0.0156 | - |
|
545 |
+
| 1.7629 | 7850 | 0.002 | - |
|
546 |
+
| 1.7741 | 7900 | 0.0059 | - |
|
547 |
+
| 1.7853 | 7950 | 0.0327 | - |
|
548 |
+
| 1.7965 | 8000 | 0.0206 | - |
|
549 |
+
| 1.8078 | 8050 | 0.0698 | - |
|
550 |
+
| 1.8190 | 8100 | 0.0217 | - |
|
551 |
+
| 1.8302 | 8150 | 0.0309 | - |
|
552 |
+
| 1.8415 | 8200 | 0.0136 | - |
|
553 |
+
| 1.8527 | 8250 | 0.0455 | - |
|
554 |
+
| 1.8639 | 8300 | 0.0645 | - |
|
555 |
+
| 1.8751 | 8350 | 0.0127 | - |
|
556 |
+
| 1.8864 | 8400 | 0.0056 | - |
|
557 |
+
| 1.8976 | 8450 | 0.0127 | - |
|
558 |
+
| 1.9088 | 8500 | 0.0024 | - |
|
559 |
+
| 1.9201 | 8550 | 0.0117 | - |
|
560 |
+
| 1.9313 | 8600 | 0.0626 | - |
|
561 |
+
| 1.9425 | 8650 | 0.0357 | - |
|
562 |
+
| 1.9537 | 8700 | 0.056 | - |
|
563 |
+
| 1.9650 | 8750 | 0.0311 | - |
|
564 |
+
| 1.9762 | 8800 | 0.0123 | - |
|
565 |
+
| 1.9874 | 8850 | 0.0638 | - |
|
566 |
+
| 1.9987 | 8900 | 0.0328 | - |
|
567 |
+
| 2.0 | 8906 | - | 0.2196 |
|
568 |
+
| 2.0099 | 8950 | 0.0015 | - |
|
569 |
+
| 2.0211 | 9000 | 0.0178 | - |
|
570 |
+
| 2.0323 | 9050 | 0.08 | - |
|
571 |
+
| 2.0436 | 9100 | 0.0983 | - |
|
572 |
+
| 2.0548 | 9150 | 0.0049 | - |
|
573 |
+
| 2.0660 | 9200 | 0.0092 | - |
|
574 |
+
| 2.0773 | 9250 | 0.0619 | - |
|
575 |
+
| 2.0885 | 9300 | 0.0159 | - |
|
576 |
+
| 2.0997 | 9350 | 0.0598 | - |
|
577 |
+
| 2.1109 | 9400 | 0.0343 | - |
|
578 |
+
| 2.1222 | 9450 | 0.0092 | - |
|
579 |
+
| 2.1334 | 9500 | 0.0013 | - |
|
580 |
+
| 2.1446 | 9550 | 0.0042 | - |
|
581 |
+
| 2.1558 | 9600 | 0.0059 | - |
|
582 |
+
| 2.1671 | 9650 | 0.0076 | - |
|
583 |
+
| 2.1783 | 9700 | 0.0027 | - |
|
584 |
+
| 2.1895 | 9750 | 0.0174 | - |
|
585 |
+
| 2.2008 | 9800 | 0.0044 | - |
|
586 |
+
| 2.2120 | 9850 | 0.0164 | - |
|
587 |
+
| 2.2232 | 9900 | 0.0015 | - |
|
588 |
+
| 2.2344 | 9950 | 0.0026 | - |
|
589 |
+
| 2.2457 | 10000 | 0.0118 | - |
|
590 |
+
| 2.2569 | 10050 | 0.0054 | - |
|
591 |
+
| 2.2681 | 10100 | 0.0016 | - |
|
592 |
+
| 2.2794 | 10150 | 0.0095 | - |
|
593 |
+
| 2.2906 | 10200 | 0.0157 | - |
|
594 |
+
| 2.3018 | 10250 | 0.0465 | - |
|
595 |
+
| 2.3130 | 10300 | 0.0024 | - |
|
596 |
+
| 2.3243 | 10350 | 0.0009 | - |
|
597 |
+
| 2.3355 | 10400 | 0.0101 | - |
|
598 |
+
| 2.3467 | 10450 | 0.0266 | - |
|
599 |
+
| 2.3580 | 10500 | 0.0022 | - |
|
600 |
+
| 2.3692 | 10550 | 0.0016 | - |
|
601 |
+
| 2.3804 | 10600 | 0.0096 | - |
|
602 |
+
| 2.3916 | 10650 | 0.0052 | - |
|
603 |
+
| 2.4029 | 10700 | 0.0656 | - |
|
604 |
+
| 2.4141 | 10750 | 0.0481 | - |
|
605 |
+
| 2.4253 | 10800 | 0.0148 | - |
|
606 |
+
| 2.4366 | 10850 | 0.0024 | - |
|
607 |
+
| 2.4478 | 10900 | 0.0039 | - |
|
608 |
+
| 2.4590 | 10950 | 0.0011 | - |
|
609 |
+
| 2.4702 | 11000 | 0.0142 | - |
|
610 |
+
| 2.4815 | 11050 | 0.0617 | - |
|
611 |
+
| 2.4927 | 11100 | 0.0069 | - |
|
612 |
+
| 2.5039 | 11150 | 0.0063 | - |
|
613 |
+
| 2.5152 | 11200 | 0.0218 | - |
|
614 |
+
| 2.5264 | 11250 | 0.0018 | - |
|
615 |
+
| 2.5376 | 11300 | 0.0017 | - |
|
616 |
+
| 2.5488 | 11350 | 0.0105 | - |
|
617 |
+
| 2.5601 | 11400 | 0.0019 | - |
|
618 |
+
| 2.5713 | 11450 | 0.0027 | - |
|
619 |
+
| 2.5825 | 11500 | 0.0616 | - |
|
620 |
+
| 2.5938 | 11550 | 0.0704 | - |
|
621 |
+
| 2.6050 | 11600 | 0.0047 | - |
|
622 |
+
| 2.6162 | 11650 | 0.0106 | - |
|
623 |
+
| 2.6274 | 11700 | 0.0067 | - |
|
624 |
+
| 2.6387 | 11750 | 0.0272 | - |
|
625 |
+
| 2.6499 | 11800 | 0.0476 | - |
|
626 |
+
| 2.6611 | 11850 | 0.0401 | - |
|
627 |
+
| 2.6724 | 11900 | 0.0017 | - |
|
628 |
+
| 2.6836 | 11950 | 0.0247 | - |
|
629 |
+
| 2.6948 | 12000 | 0.0173 | - |
|
630 |
+
| 2.7060 | 12050 | 0.0129 | - |
|
631 |
+
| 2.7173 | 12100 | 0.0041 | - |
|
632 |
+
| 2.7285 | 12150 | 0.0017 | - |
|
633 |
+
| 2.7397 | 12200 | 0.0137 | - |
|
634 |
+
| 2.7510 | 12250 | 0.0629 | - |
|
635 |
+
| 2.7622 | 12300 | 0.034 | - |
|
636 |
+
| 2.7734 | 12350 | 0.0533 | - |
|
637 |
+
| 2.7846 | 12400 | 0.057 | - |
|
638 |
+
| 2.7959 | 12450 | 0.0153 | - |
|
639 |
+
| 2.8071 | 12500 | 0.0023 | - |
|
640 |
+
| 2.8183 | 12550 | 0.0013 | - |
|
641 |
+
| 2.8296 | 12600 | 0.0014 | - |
|
642 |
+
| 2.8408 | 12650 | 0.0023 | - |
|
643 |
+
| 2.8520 | 12700 | 0.0026 | - |
|
644 |
+
| 2.8632 | 12750 | 0.0027 | - |
|
645 |
+
| 2.8745 | 12800 | 0.0064 | - |
|
646 |
+
| 2.8857 | 12850 | 0.0174 | - |
|
647 |
+
| 2.8969 | 12900 | 0.0017 | - |
|
648 |
+
| 2.9082 | 12950 | 0.0242 | - |
|
649 |
+
| 2.9194 | 13000 | 0.0487 | - |
|
650 |
+
| 2.9306 | 13050 | 0.0022 | - |
|
651 |
+
| 2.9418 | 13100 | 0.0108 | - |
|
652 |
+
| 2.9531 | 13150 | 0.0079 | - |
|
653 |
+
| 2.9643 | 13200 | 0.0108 | - |
|
654 |
+
| 2.9755 | 13250 | 0.0027 | - |
|
655 |
+
| 2.9868 | 13300 | 0.0053 | - |
|
656 |
+
| 2.9980 | 13350 | 0.0039 | - |
|
657 |
+
| 3.0 | 13359 | - | 0.2038 |
|
658 |
+
| 3.0092 | 13400 | 0.0089 | - |
|
659 |
+
| 3.0204 | 13450 | 0.0369 | - |
|
660 |
+
| 3.0317 | 13500 | 0.0107 | - |
|
661 |
+
| 3.0429 | 13550 | 0.0187 | - |
|
662 |
+
| 3.0541 | 13600 | 0.0038 | - |
|
663 |
+
| 3.0653 | 13650 | 0.0072 | - |
|
664 |
+
| 3.0766 | 13700 | 0.005 | - |
|
665 |
+
| 3.0878 | 13750 | 0.0192 | - |
|
666 |
+
| 3.0990 | 13800 | 0.0084 | - |
|
667 |
+
| 3.1103 | 13850 | 0.002 | - |
|
668 |
+
| 3.1215 | 13900 | 0.0011 | - |
|
669 |
+
| 3.1327 | 13950 | 0.0037 | - |
|
670 |
+
| 3.1439 | 14000 | 0.0087 | - |
|
671 |
+
| 3.1552 | 14050 | 0.0014 | - |
|
672 |
+
| 3.1664 | 14100 | 0.0029 | - |
|
673 |
+
| 3.1776 | 14150 | 0.0176 | - |
|
674 |
+
| 3.1889 | 14200 | 0.0028 | - |
|
675 |
+
| 3.2001 | 14250 | 0.012 | - |
|
676 |
+
| 3.2113 | 14300 | 0.0933 | - |
|
677 |
+
| 3.2225 | 14350 | 0.002 | - |
|
678 |
+
| 3.2338 | 14400 | 0.053 | - |
|
679 |
+
| 3.2450 | 14450 | 0.0117 | - |
|
680 |
+
| 3.2562 | 14500 | 0.0227 | - |
|
681 |
+
| 3.2675 | 14550 | 0.0055 | - |
|
682 |
+
| 3.2787 | 14600 | 0.008 | - |
|
683 |
+
| 3.2899 | 14650 | 0.0512 | - |
|
684 |
+
| 3.3011 | 14700 | 0.0025 | - |
|
685 |
+
| 3.3124 | 14750 | 0.0432 | - |
|
686 |
+
| 3.3236 | 14800 | 0.002 | - |
|
687 |
+
| 3.3348 | 14850 | 0.013 | - |
|
688 |
+
| 3.3461 | 14900 | 0.0026 | - |
|
689 |
+
| 3.3573 | 14950 | 0.0022 | - |
|
690 |
+
| 3.3685 | 15000 | 0.0225 | - |
|
691 |
+
| 3.3797 | 15050 | 0.0611 | - |
|
692 |
+
| 3.3910 | 15100 | 0.0261 | - |
|
693 |
+
| 3.4022 | 15150 | 0.0026 | - |
|
694 |
+
| 3.4134 | 15200 | 0.004 | - |
|
695 |
+
| 3.4247 | 15250 | 0.0054 | - |
|
696 |
+
| 3.4359 | 15300 | 0.0132 | - |
|
697 |
+
| 3.4471 | 15350 | 0.0017 | - |
|
698 |
+
| 3.4583 | 15400 | 0.0213 | - |
|
699 |
+
| 3.4696 | 15450 | 0.007 | - |
|
700 |
+
| 3.4808 | 15500 | 0.0507 | - |
|
701 |
+
| 3.4920 | 15550 | 0.0039 | - |
|
702 |
+
| 3.5033 | 15600 | 0.0059 | - |
|
703 |
+
| 3.5145 | 15650 | 0.0357 | - |
|
704 |
+
| 3.5257 | 15700 | 0.0009 | - |
|
705 |
+
| 3.5369 | 15750 | 0.0014 | - |
|
706 |
+
| 3.5482 | 15800 | 0.0011 | - |
|
707 |
+
| 3.5594 | 15850 | 0.0082 | - |
|
708 |
+
| 3.5706 | 15900 | 0.001 | - |
|
709 |
+
| 3.5819 | 15950 | 0.0045 | - |
|
710 |
+
| 3.5931 | 16000 | 0.0205 | - |
|
711 |
+
| 3.6043 | 16050 | 0.0096 | - |
|
712 |
+
| 3.6155 | 16100 | 0.0286 | - |
|
713 |
+
| 3.6268 | 16150 | 0.0043 | - |
|
714 |
+
| 3.6380 | 16200 | 0.0029 | - |
|
715 |
+
| 3.6492 | 16250 | 0.0079 | - |
|
716 |
+
| 3.6605 | 16300 | 0.0036 | - |
|
717 |
+
| 3.6717 | 16350 | 0.0013 | - |
|
718 |
+
| 3.6829 | 16400 | 0.0086 | - |
|
719 |
+
| 3.6941 | 16450 | 0.0049 | - |
|
720 |
+
| 3.7054 | 16500 | 0.0006 | - |
|
721 |
+
| 3.7166 | 16550 | 0.0467 | - |
|
722 |
+
| 3.7278 | 16600 | 0.002 | - |
|
723 |
+
| 3.7391 | 16650 | 0.0229 | - |
|
724 |
+
| 3.7503 | 16700 | 0.0532 | - |
|
725 |
+
| 3.7615 | 16750 | 0.001 | - |
|
726 |
+
| 3.7727 | 16800 | 0.0034 | - |
|
727 |
+
| 3.7840 | 16850 | 0.0117 | - |
|
728 |
+
| 3.7952 | 16900 | 0.0424 | - |
|
729 |
+
| 3.8064 | 16950 | 0.0032 | - |
|
730 |
+
| 3.8177 | 17000 | 0.0024 | - |
|
731 |
+
| 3.8289 | 17050 | 0.0011 | - |
|
732 |
+
| 3.8401 | 17100 | 0.0024 | - |
|
733 |
+
| 3.8513 | 17150 | 0.0059 | - |
|
734 |
+
| 3.8626 | 17200 | 0.0005 | - |
|
735 |
+
| 3.8738 | 17250 | 0.0074 | - |
|
736 |
+
| 3.8850 | 17300 | 0.0517 | - |
|
737 |
+
| 3.8962 | 17350 | 0.0081 | - |
|
738 |
+
| 3.9075 | 17400 | 0.0131 | - |
|
739 |
+
| 3.9187 | 17450 | 0.051 | - |
|
740 |
+
| 3.9299 | 17500 | 0.0114 | - |
|
741 |
+
| 3.9412 | 17550 | 0.0008 | - |
|
742 |
+
| 3.9524 | 17600 | 0.0094 | - |
|
743 |
+
| 3.9636 | 17650 | 0.001 | - |
|
744 |
+
| 3.9748 | 17700 | 0.0069 | - |
|
745 |
+
| 3.9861 | 17750 | 0.002 | - |
|
746 |
+
| 3.9973 | 17800 | 0.003 | - |
|
747 |
+
| 4.0 | 17812 | - | 0.2278 |
|
748 |
+
| 4.0085 | 17850 | 0.0309 | - |
|
749 |
+
| 4.0198 | 17900 | 0.005 | - |
|
750 |
+
| 4.0310 | 17950 | 0.0028 | - |
|
751 |
+
| 4.0422 | 18000 | 0.0069 | - |
|
752 |
+
| 4.0534 | 18050 | 0.002 | - |
|
753 |
+
| 4.0647 | 18100 | 0.0384 | - |
|
754 |
+
| 4.0759 | 18150 | 0.0123 | - |
|
755 |
+
| 4.0871 | 18200 | 0.0657 | - |
|
756 |
+
| 4.0984 | 18250 | 0.0042 | - |
|
757 |
+
| 4.1096 | 18300 | 0.0043 | - |
|
758 |
+
| 4.1208 | 18350 | 0.0035 | - |
|
759 |
+
| 4.1320 | 18400 | 0.0389 | - |
|
760 |
+
| 4.1433 | 18450 | 0.0303 | - |
|
761 |
+
| 4.1545 | 18500 | 0.002 | - |
|
762 |
+
| 4.1657 | 18550 | 0.0009 | - |
|
763 |
+
| 4.1770 | 18600 | 0.0025 | - |
|
764 |
+
| 4.1882 | 18650 | 0.1035 | - |
|
765 |
+
| 4.1994 | 18700 | 0.0033 | - |
|
766 |
+
| 4.2106 | 18750 | 0.0038 | - |
|
767 |
+
| 4.2219 | 18800 | 0.0161 | - |
|
768 |
+
| 4.2331 | 18850 | 0.0415 | - |
|
769 |
+
| 4.2443 | 18900 | 0.003 | - |
|
770 |
+
| 4.2556 | 18950 | 0.0055 | - |
|
771 |
+
| 4.2668 | 19000 | 0.0064 | - |
|
772 |
+
| 4.2780 | 19050 | 0.0656 | - |
|
773 |
+
| 4.2892 | 19100 | 0.0011 | - |
|
774 |
+
| 4.3005 | 19150 | 0.0252 | - |
|
775 |
+
| 4.3117 | 19200 | 0.0076 | - |
|
776 |
+
| 4.3229 | 19250 | 0.0051 | - |
|
777 |
+
| 4.3342 | 19300 | 0.0042 | - |
|
778 |
+
| 4.3454 | 19350 | 0.0043 | - |
|
779 |
+
| 4.3566 | 19400 | 0.014 | - |
|
780 |
+
| 4.3678 | 19450 | 0.0047 | - |
|
781 |
+
| 4.3791 | 19500 | 0.0043 | - |
|
782 |
+
| 4.3903 | 19550 | 0.0014 | - |
|
783 |
+
| 4.4015 | 19600 | 0.0017 | - |
|
784 |
+
| 4.4128 | 19650 | 0.0811 | - |
|
785 |
+
| 4.4240 | 19700 | 0.0013 | - |
|
786 |
+
| 4.4352 | 19750 | 0.0332 | - |
|
787 |
+
| 4.4464 | 19800 | 0.0636 | - |
|
788 |
+
| 4.4577 | 19850 | 0.0068 | - |
|
789 |
+
| 4.4689 | 19900 | 0.0076 | - |
|
790 |
+
| 4.4801 | 19950 | 0.0217 | - |
|
791 |
+
| 4.4914 | 20000 | 0.0387 | - |
|
792 |
+
| 4.5026 | 20050 | 0.0077 | - |
|
793 |
+
| 4.5138 | 20100 | 0.0778 | - |
|
794 |
+
| 4.5250 | 20150 | 0.0523 | - |
|
795 |
+
| 4.5363 | 20200 | 0.0597 | - |
|
796 |
+
| 4.5475 | 20250 | 0.0092 | - |
|
797 |
+
| 4.5587 | 20300 | 0.0684 | - |
|
798 |
+
| 4.5700 | 20350 | 0.0151 | - |
|
799 |
+
| 4.5812 | 20400 | 0.0007 | - |
|
800 |
+
| 4.5924 | 20450 | 0.0018 | - |
|
801 |
+
| 4.6036 | 20500 | 0.0003 | - |
|
802 |
+
| 4.6149 | 20550 | 0.0051 | - |
|
803 |
+
| 4.6261 | 20600 | 0.0144 | - |
|
804 |
+
| 4.6373 | 20650 | 0.011 | - |
|
805 |
+
| 4.6486 | 20700 | 0.0061 | - |
|
806 |
+
| 4.6598 | 20750 | 0.0066 | - |
|
807 |
+
| 4.6710 | 20800 | 0.0046 | - |
|
808 |
+
| 4.6822 | 20850 | 0.0511 | - |
|
809 |
+
| 4.6935 | 20900 | 0.0198 | - |
|
810 |
+
| 4.7047 | 20950 | 0.001 | - |
|
811 |
+
| 4.7159 | 21000 | 0.0022 | - |
|
812 |
+
| 4.7272 | 21050 | 0.053 | - |
|
813 |
+
| 4.7384 | 21100 | 0.0025 | - |
|
814 |
+
| 4.7496 | 21150 | 0.034 | - |
|
815 |
+
| 4.7608 | 21200 | 0.0147 | - |
|
816 |
+
| 4.7721 | 21250 | 0.0684 | - |
|
817 |
+
| 4.7833 | 21300 | 0.0012 | - |
|
818 |
+
| 4.7945 | 21350 | 0.0029 | - |
|
819 |
+
| 4.8057 | 21400 | 0.0014 | - |
|
820 |
+
| 4.8170 | 21450 | 0.0522 | - |
|
821 |
+
| 4.8282 | 21500 | 0.0766 | - |
|
822 |
+
| 4.8394 | 21550 | 0.0031 | - |
|
823 |
+
| 4.8507 | 21600 | 0.0012 | - |
|
824 |
+
| 4.8619 | 21650 | 0.0011 | - |
|
825 |
+
| 4.8731 | 21700 | 0.0235 | - |
|
826 |
+
| 4.8843 | 21750 | 0.001 | - |
|
827 |
+
| 4.8956 | 21800 | 0.0178 | - |
|
828 |
+
| 4.9068 | 21850 | 0.0006 | - |
|
829 |
+
| 4.9180 | 21900 | 0.0092 | - |
|
830 |
+
| 4.9293 | 21950 | 0.025 | - |
|
831 |
+
| 4.9405 | 22000 | 0.017 | - |
|
832 |
+
| 4.9517 | 22050 | 0.0052 | - |
|
833 |
+
| 4.9629 | 22100 | 0.0437 | - |
|
834 |
+
| 4.9742 | 22150 | 0.0019 | - |
|
835 |
+
| 4.9854 | 22200 | 0.0039 | - |
|
836 |
+
| 4.9966 | 22250 | 0.0015 | - |
|
837 |
+
| 5.0 | 22265 | - | 0.2357 |
|
838 |
+
|
839 |
+
### Framework Versions
|
840 |
+
- Python: 3.10.12
|
841 |
+
- SetFit: 1.0.3
|
842 |
+
- Sentence Transformers: 2.2.2
|
843 |
+
- Transformers: 4.36.1
|
844 |
+
- PyTorch: 2.0.1+cu118
|
845 |
+
- Datasets: 2.15.0
|
846 |
+
- Tokenizers: 0.15.0
|
847 |
+
|
848 |
+
## Citation
|
849 |
+
|
850 |
+
### BibTeX
|
851 |
+
```bibtex
|
852 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
853 |
+
doi = {10.48550/ARXIV.2209.11055},
|
854 |
+
url = {https://arxiv.org/abs/2209.11055},
|
855 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
856 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
857 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
858 |
+
publisher = {arXiv},
|
859 |
+
year = {2022},
|
860 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
861 |
+
}
|
862 |
+
```
|
863 |
+
|
864 |
+
<!--
|
865 |
+
## Glossary
|
866 |
+
|
867 |
+
*Clearly define terms in order to be accessible across audiences.*
|
868 |
+
-->
|
869 |
+
|
870 |
+
<!--
|
871 |
+
## Model Card Authors
|
872 |
+
|
873 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
874 |
+
-->
|
875 |
+
|
876 |
+
<!--
|
877 |
+
## Model Card Contact
|
878 |
+
|
879 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
880 |
+
-->
|
config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_paraphrase-mpnet-base-v2/",
|
3 |
+
"architectures": [
|
4 |
+
"MPNetModel"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 514,
|
16 |
+
"model_type": "mpnet",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
"relative_attention_num_buckets": 32,
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.36.1",
|
23 |
+
"vocab_size": 30527
|
24 |
+
}
|
config_sentence_transformers.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"__version__": {
|
3 |
+
"sentence_transformers": "2.0.0",
|
4 |
+
"transformers": "4.7.0",
|
5 |
+
"pytorch": "1.9.0+cu102"
|
6 |
+
}
|
7 |
+
}
|
config_setfit.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"normalize_embeddings": false,
|
3 |
+
"labels": null
|
4 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:77ef4a9505f0117d742327c4763f478c91112f0c1b62aaf2de5de7ec786fb305
|
3 |
+
size 437967672
|
model_head.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6fd0efa417957e2343c3e9cdaef0789ea7cc784ebd56baef5c4a55cabd7bbac1
|
3 |
+
size 733923
|
modules.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
]
|
sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
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|
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|
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|
|
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|
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|
|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "<s>",
|
11 |
+
"lstrip": false,
|
12 |
+
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|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
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"content": "</s>",
|
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"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"mask_token": {
|
24 |
+
"content": "<mask>",
|
25 |
+
"lstrip": true,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "<pad>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"sep_token": {
|
38 |
+
"content": "</s>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
},
|
44 |
+
"unk_token": {
|
45 |
+
"content": "[UNK]",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
|
|
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|
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|
1 |
+
{
|
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+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
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|
5 |
+
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|
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+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"104": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"30526": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"do_basic_tokenize": true,
|
48 |
+
"do_lower_case": true,
|
49 |
+
"eos_token": "</s>",
|
50 |
+
"mask_token": "<mask>",
|
51 |
+
"model_max_length": 512,
|
52 |
+
"never_split": null,
|
53 |
+
"pad_token": "<pad>",
|
54 |
+
"sep_token": "</s>",
|
55 |
+
"strip_accents": null,
|
56 |
+
"tokenize_chinese_chars": true,
|
57 |
+
"tokenizer_class": "MPNetTokenizer",
|
58 |
+
"unk_token": "[UNK]"
|
59 |
+
}
|
vocab.txt
ADDED
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|