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naufalso
/
setfit-ctc-bge-base-en-v1.5

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Model card Files Community
naufalso commited on
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d66c8f8
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Files changed (13) hide show
  1. 1_Pooling/config.json +10 -0
  2. README.md +1517 -0
  3. config.json +32 -0
  4. config_sentence_transformers.json +10 -0
  5. config_setfit.json +7 -0
  6. model.safetensors +3 -0
  7. model_head.pkl +3 -0
  8. modules.json +20 -0
  9. sentence_bert_config.json +4 -0
  10. special_tokens_map.json +37 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +58 -0
  13. vocab.txt +0 -0
1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
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+ "pooling_mode_cls_token": true,
4
+ "pooling_mode_mean_tokens": false,
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
+ }
README.md ADDED
@@ -0,0 +1,1517 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - setfit
4
+ - sentence-transformers
5
+ - text-classification
6
+ - generated_from_setfit_trainer
7
+ widget:
8
+ - text: Now let us conceive a particular volition, namely, the mode of thinking whereby
9
+ the mind affirms, that the three interior angles of a triangle are equal to two
10
+ right angles.
11
+ - text: If we know beforehand what this state of affairs is, our desire is conscious;
12
+ if not, unconscious.
13
+ - text: 'The salvation of the soul in plain English: the world revolves around me.'
14
+ - text: Masculine myths find their most seductive incarnation in the hetaera; more
15
+ than any other woman, she is flesh and consciousness, idol, inspiration, muse;
16
+ painters and sculptors want her as their model; she will nourish poets' dreams;
17
+ it is in her that the intellectual will explore the treasures of feminine 'intuition';
18
+ she is more readily intelligent than the matron, because she is less set in hypocrisy.
19
+ - text: " Since 2004, the Mandiant name has represented unparalleled security expertise,\
20
+ \ earning the trust of cyber security professionals and company executives across\
21
+ \ the world. By joining this unparalleled frontline experience with our industry\
22
+ \ leading, nation-state grade threat intelligence and innovative technology, we\
23
+ \ have ensured that FireEye knows more about current advanced threats than anyone.\
24
+ \ Today the world looks a lot different than it did in 2004. The cyber security\
25
+ \ industry has expanded (some might say exploded), but through all this change,\
26
+ \ one thing has remained the same: there is no substitute for world-class expertise\
27
+ \ and intelligence. With that in mind, we’ve continued to push the boundaries\
28
+ \ of innovation by expanding our expertise- and intelligence-backed solutions\
29
+ \ to stay ahead of market needs. Each is considered the gold standard in its respective\
30
+ \ space. These solutions include Mandiant Consulting, Mandiant Managed Defense,\
31
+ \ FireEye Threat Intelligence, FireEye Expertise On Demand, and Verodin Security\
32
+ \ Validation. Now, to streamline options and simplify the process of identifying\
33
+ \ solutions our customers need to proactively combat cyber threats, we are renaming\
34
+ \ our expertise- and intelligence-backed solutions to Mandiant, under the collective\
35
+ \ term Mandiant Solutions. The renaming of our solutions does not change pricing,\
36
+ \ content, or delivery today. Current subscribers of these services will continue\
37
+ \ to receive the same unparalleled frontline expertise they have come to rely\
38
+ \ on. As we move forward, the goal of Mandiant Solutions is to deliver synergies\
39
+ \ between these solutions to help customers improve security effectiveness by\
40
+ \ automating the security operations center and augmenting their security teams\
41
+ \ with Mandiant expertise and intelligence, regardless of the SIEM and security\
42
+ \ technology they have deployed.  Our Mandiant Solutions portfolio will include:\
43
+ \ Each of these offerings combines our technologies, intelligence and expertise,\
44
+ \ helping organizations meet evolving security challenges. Customers can be confident\
45
+ \ that Mandiant Solutions are backed by the industry’s best expertise and informed\
46
+ \ by the best threat intelligence available today.   For example, following the\
47
+ \ acquisition of Verodin last year, we’ve been actively integrating our market-leading\
48
+ \ threat intelligence with the industry’s most comprehensive security validation\
49
+ \ platform, now known as Mandiant Security Validation. This represents a significant\
50
+ \ benefit to our customers who can test and validate their organization’s readiness\
51
+ \ against the very latest techniques employed by today’s threat actors. Of course,\
52
+ \ our suite of enterprise solutions (FireEye Helix, Endpoint, Network, and Email\
53
+ \ Security) also benefits from and enhances this wealth of frontline expertise\
54
+ \ through our unique Innovation Cycle. It ensures that our products and services\
55
+ \ are able to learn and adapt to new threats faster and better than anyone.  As\
56
+ \ we look to the future, our vision is to continue to integrate these capabilities\
57
+ \ through a seamless, modern platform that accelerates our customers’ ability\
58
+ \ to measurably improve the people, processes, and technology they need to protect\
59
+ \ their critical assets.  Stay tuned for more updates as we rollout our renaming!\t\
60
+ \tSince 2004, the Mandiant name has represented unparalleled security expertise,\
61
+ \ earning the trust of cyber security professionals and company executives across\
62
+ \ the world. By joining this unparalleled frontline experience with our industry\
63
+ \ leading, nation-state grade threat intelligence and innovative technology, we\
64
+ \ have ensured that FireEye knows more about current advanced threats than anyone.Today\
65
+ \ the world looks a lot different than it did in 2004. The cyber security industry\
66
+ \ has expanded (some might say exploded), but through all this change, one thing\
67
+ \ has remained the same: there is no substitute for world-class expertise and\
68
+ \ intelligence.With that in mind, we’ve continued to push the boundaries of innovation\
69
+ \ by expanding our expertise- and intelligence-backed solutions to stay ahead\
70
+ \ of market needs. Each is considered the gold standard in its respective space.\
71
+ \ These solutions include Mandiant Consulting, Mandiant Managed Defense, FireEye\
72
+ \ Threat Intelligence, FireEye Expertise On Demand, and Verodin Security Validation.Now,\
73
+ \ to streamline options and simplify the process of identifying solutions our\
74
+ \ customers need to proactively combat cyber threats, we are renaming our expertise-\
75
+ \ and intelligence-backed solutions to Mandiant, under the collective term Mandiant\
76
+ \ Solutions.The renaming of our solutions does not change pricing, content, or\
77
+ \ delivery today. Current subscribers of these services will continue to receive\
78
+ \ the same unparalleled frontline expertise they have come to rely on.As we move\
79
+ \ forward, the goal of Mandiant Solutions is to deliver synergies between these\
80
+ \ solutions to help customers improve security effectiveness by automating the\
81
+ \ security operations center and augmenting their security teams with Mandiant\
82
+ \ expertise and intelligence, regardless of the SIEM and security technology they\
83
+ \ have deployed. Our Mandiant Solutions portfolio will include:Mandiant ConsultingMandiant\
84
+ \ Managed DefenseMandiant Threat IntelligenceMandiant Expertise On DemandMandiant\
85
+ \ Security Validation (formerly Verodin)Each of these offerings combines our technologies,\
86
+ \ intelligence and expertise, helping organizations meet evolving security challenges.\
87
+ \ Customers can be confident that Mandiant Solutions are backed by the industry’s\
88
+ \ best expertise and informed by the best threat intelligence available today.  For\
89
+ \ example, following the acquisition of Verodin last year, we’ve been actively\
90
+ \ integrating our market-leading threat intelligence with the industry’s most\
91
+ \ comprehensive security validation platform, now known as Mandiant Security Validation.\
92
+ \ This represents a significant benefit to our customers who can test and validate\
93
+ \ their organization’s readiness against the very latest techniques employed by\
94
+ \ today’s threat actors.Of course, our suite of enterprise solutions (FireEye\
95
+ \ Helix, Endpoint, Network, and Email Security) also benefits from and enhances\
96
+ \ this wealth of frontline expertise through our unique Innovation Cycle. It ensures\
97
+ \ that our products and services are able to learn and adapt to new threats faster\
98
+ \ and better than anyone. As we look to the future, our vision is to continue\
99
+ \ to integrate these capabilities through a seamless, modern platform that accelerates\
100
+ \ our customers’ ability to measurably improve the people, processes, and technology\
101
+ \ they need to protect their critical assets. Stay tuned for more updates as we\
102
+ \ rollout our renaming!"
103
+ metrics:
104
+ - accuracy
105
+ pipeline_tag: text-classification
106
+ library_name: setfit
107
+ inference: true
108
+ base_model: BAAI/bge-base-en-v1.5
109
+ ---
110
+
111
+ # SetFit with BAAI/bge-base-en-v1.5
112
+
113
+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) 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.
114
+
115
+ The model has been trained using an efficient few-shot learning technique that involves:
116
+
117
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
118
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
119
+
120
+ ## Model Details
121
+
122
+ ### Model Description
123
+ - **Model Type:** SetFit
124
+ - **Sentence Transformer body:** [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5)
125
+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
126
+ - **Maximum Sequence Length:** 512 tokens
127
+ - **Number of Classes:** 2 classes
128
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
129
+ <!-- - **Language:** Unknown -->
130
+ <!-- - **License:** Unknown -->
131
+
132
+ ### Model Sources
133
+
134
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
135
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
136
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
137
+
138
+ ### Model Labels
139
+ | Label | Examples |
140
+ |:-------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
141
+ | cybersec | <ul><li>"cracking this password?. http://postimg.org/image/mi3xit477/\nit's Gargoyle Router Management Utility\ni'm a pre-beginner in cracking, i setted this up in my router, but i don't want to press the reset button, it took me a few weeks to do it, so i don't wanna re-install the firmware, but i forgot the password.....\ni have unlimited times of enter times, it's a 192.168.2.1\nhow can i crack it? i don't think it's encrypted though..."</li><li>'How can someone prevent a sybil attack when connecting through TOR?. <p>As I understand it, running sybil BTC nodes through an anonymous network like TOR is much less expensive than in clearnet. This makes it possible that one could be connected to a majority of nodes controlled by the same entity, right?</p>\n\n<p>Is there any way to limit exposure to this when connection through TOR?</p>\n\n<p>( I am asking for a friend :P )</p>\n'</li><li>'Added gigabit qos switch at workstation to work around 10/100 pass though in Cisco IP phone. Widows says the LAN connection is 1Gbps, but there is a cat5, not 5e going to the machine, am I really getting gigabit?. Windows 7.\nLong story short, the network connection to our PCs was running through our Cisco IP phones, which only supported 10/100. Per my IT guy, everything else on our network, the switches etc. can support gigabit, the phone is the choke point. To workaround, I got a 5 port gigabit switch, and put the phone on the high priority qos port. Under the LAN connection in control panel, it went from 100Mbps to 1Gbps.\nThe reason I am skeptical is that the ethernet cable from the switch to the PC is cat5, not 5e. My understanding is it needs to be 5e. Since there are 3 cables (wall to switch, switch to phone, switch to pc) per machine, I would rather not replace every cable on 17 machines.\nSo, if Windows says gigabit, is that all there is to it? Or should I run some type of diagnostic?\nLonger question, we have 20ish IP phones, and a server, sharing modestly sized documents, and some server-centric ERP type software. Do I even need the Gigabit speed? Some users I have switched are noticing some improvement, but we are not transferring huge files across the network regularly, so it may just seem anecdotally faster to them. How can I tell if I really need the extra bandwidth, and what I am using?\n\nI feel like a total idiot here, be gentle...\n\nThanks!'</li></ul> |
142
+ | non-cybersec | <ul><li>'Tex-shell in AUCTeX. <p>Whenever I compile a file in AUCTeX (e.g. <code>C-c</code> <code>C-c</code> and then choosing an option) , it creates a buffer <code>tex-shell</code> where I can see the output of the compilation command. Once the compilation finishes this shell buffer stays open. What is the right way to close it? </p>\n\n<p>Besides showing me the compilation output, what else can I use it for?</p>\n'</li><li>'Inserting a Creative Commons Licence into a LaTeX document. <p>I\'d like to insert a CC license on a manuscript (a book or report). I\'ve seen the page for downloading the <a href="http://creativecommons.org/about/downloads/" rel="noreferrer">CC icons</a>, and also some questions asked in the forum <a href="https://tex.stackexchange.com/questions/20308/creative-commons-logo">CC logo</a> and <a href="https://tex.stackexchange.com/questions/1725/how-do-i-generate-creative-commons-license-information">Generate CC information</a>. </p>\n\n<p>However, I do not get how to create the actual thing!</p>\n\n<p><strong>Q:</strong> Can you please provide an example of a license info page (<em>MWE</em>)? That would be really helpful!</p>\n'</li><li>"Hey Reddit! We're Tritonal, and we just released our new U&Me album. Ask us anything!!. Yooo! What's up!? It's Dave & Chad of Tritonal, and we've just released our newest album, U&ME, available everywhere now! We're here to answer all of YOUR questions. Let's get this thing started!\n\nASK US ANYTHING! <3\n\nOur new album U&Me - https://enhanced.ffm.to/umealbum\nOur tour dates - http://tritonalmusic.com/shows\n\nProof: https://i.imgur.com/6cxJ9eU.jpg"</li></ul> |
143
+
144
+ ## Uses
145
+
146
+ ### Direct Use for Inference
147
+
148
+ First install the SetFit library:
149
+
150
+ ```bash
151
+ pip install setfit
152
+ ```
153
+
154
+ Then you can load this model and run inference.
155
+
156
+ ```python
157
+ from setfit import SetFitModel
158
+
159
+ # Download from the 🤗 Hub
160
+ model = SetFitModel.from_pretrained("naufalso/setfit-ctc-bge-base-en-v1.5")
161
+ # Run inference
162
+ preds = model("The salvation of the soul in plain English: the world revolves around me.")
163
+ ```
164
+
165
+ <!--
166
+ ### Downstream Use
167
+
168
+ *List how someone could finetune this model on their own dataset.*
169
+ -->
170
+
171
+ <!--
172
+ ### Out-of-Scope Use
173
+
174
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
175
+ -->
176
+
177
+ <!--
178
+ ## Bias, Risks and Limitations
179
+
180
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
181
+ -->
182
+
183
+ <!--
184
+ ### Recommendations
185
+
186
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
187
+ -->
188
+
189
+ ## Training Details
190
+
191
+ ### Training Set Metrics
192
+ | Training set | Min | Median | Max |
193
+ |:-------------|:----|:--------|:------|
194
+ | Word count | 2 | 309.552 | 20280 |
195
+
196
+ | Label | Training Sample Count |
197
+ |:-------------|:----------------------|
198
+ | non-cybersec | 1000 |
199
+ | cybersec | 1000 |
200
+
201
+ ### Training Hyperparameters
202
+ - batch_size: (32, 32)
203
+ - num_epochs: (1, 1)
204
+ - max_steps: -1
205
+ - sampling_strategy: oversampling
206
+ - body_learning_rate: (2e-05, 1e-05)
207
+ - head_learning_rate: 0.01
208
+ - loss: CosineSimilarityLoss
209
+ - distance_metric: cosine_distance
210
+ - margin: 0.25
211
+ - end_to_end: False
212
+ - use_amp: False
213
+ - warmup_proportion: 0.1
214
+ - l2_weight: 0.01
215
+ - seed: 42
216
+ - eval_max_steps: -1
217
+ - load_best_model_at_end: False
218
+
219
+ ### Training Results
220
+ | Epoch | Step | Training Loss | Validation Loss |
221
+ |:------:|:-----:|:-------------:|:---------------:|
222
+ | 0.0000 | 1 | 0.2527 | - |
223
+ | 0.0008 | 50 | 0.2398 | - |
224
+ | 0.0016 | 100 | 0.2476 | - |
225
+ | 0.0024 | 150 | 0.2407 | - |
226
+ | 0.0032 | 200 | 0.2448 | - |
227
+ | 0.0040 | 250 | 0.241 | - |
228
+ | 0.0048 | 300 | 0.2381 | - |
229
+ | 0.0056 | 350 | 0.2345 | - |
230
+ | 0.0064 | 400 | 0.2344 | - |
231
+ | 0.0072 | 450 | 0.2284 | - |
232
+ | 0.0080 | 500 | 0.2232 | - |
233
+ | 0.0088 | 550 | 0.2167 | - |
234
+ | 0.0096 | 600 | 0.2082 | - |
235
+ | 0.0104 | 650 | 0.193 | - |
236
+ | 0.0112 | 700 | 0.163 | - |
237
+ | 0.0120 | 750 | 0.138 | - |
238
+ | 0.0128 | 800 | 0.1136 | - |
239
+ | 0.0136 | 850 | 0.0934 | - |
240
+ | 0.0144 | 900 | 0.0743 | - |
241
+ | 0.0152 | 950 | 0.0619 | - |
242
+ | 0.0160 | 1000 | 0.0455 | - |
243
+ | 0.0168 | 1050 | 0.0415 | - |
244
+ | 0.0176 | 1100 | 0.027 | - |
245
+ | 0.0184 | 1150 | 0.0276 | - |
246
+ | 0.0192 | 1200 | 0.0235 | - |
247
+ | 0.0200 | 1250 | 0.0183 | - |
248
+ | 0.0208 | 1300 | 0.0193 | - |
249
+ | 0.0216 | 1350 | 0.0161 | - |
250
+ | 0.0224 | 1400 | 0.0143 | - |
251
+ | 0.0232 | 1450 | 0.0134 | - |
252
+ | 0.0240 | 1500 | 0.0146 | - |
253
+ | 0.0248 | 1550 | 0.0152 | - |
254
+ | 0.0256 | 1600 | 0.0157 | - |
255
+ | 0.0264 | 1650 | 0.0138 | - |
256
+ | 0.0272 | 1700 | 0.0101 | - |
257
+ | 0.0280 | 1750 | 0.0089 | - |
258
+ | 0.0288 | 1800 | 0.0109 | - |
259
+ | 0.0296 | 1850 | 0.0122 | - |
260
+ | 0.0304 | 1900 | 0.0056 | - |
261
+ | 0.0312 | 1950 | 0.0094 | - |
262
+ | 0.0320 | 2000 | 0.0105 | - |
263
+ | 0.0328 | 2050 | 0.0101 | - |
264
+ | 0.0336 | 2100 | 0.0087 | - |
265
+ | 0.0344 | 2150 | 0.0089 | - |
266
+ | 0.0352 | 2200 | 0.0079 | - |
267
+ | 0.0360 | 2250 | 0.0091 | - |
268
+ | 0.0368 | 2300 | 0.0063 | - |
269
+ | 0.0376 | 2350 | 0.005 | - |
270
+ | 0.0384 | 2400 | 0.0083 | - |
271
+ | 0.0392 | 2450 | 0.0066 | - |
272
+ | 0.0400 | 2500 | 0.007 | - |
273
+ | 0.0408 | 2550 | 0.0049 | - |
274
+ | 0.0416 | 2600 | 0.0037 | - |
275
+ | 0.0424 | 2650 | 0.006 | - |
276
+ | 0.0432 | 2700 | 0.0063 | - |
277
+ | 0.0440 | 2750 | 0.0047 | - |
278
+ | 0.0448 | 2800 | 0.0062 | - |
279
+ | 0.0456 | 2850 | 0.0029 | - |
280
+ | 0.0464 | 2900 | 0.0038 | - |
281
+ | 0.0472 | 2950 | 0.0025 | - |
282
+ | 0.0480 | 3000 | 0.0021 | - |
283
+ | 0.0488 | 3050 | 0.0017 | - |
284
+ | 0.0496 | 3100 | 0.0041 | - |
285
+ | 0.0503 | 3150 | 0.0015 | - |
286
+ | 0.0511 | 3200 | 0.004 | - |
287
+ | 0.0519 | 3250 | 0.0019 | - |
288
+ | 0.0527 | 3300 | 0.005 | - |
289
+ | 0.0535 | 3350 | 0.0016 | - |
290
+ | 0.0543 | 3400 | 0.0037 | - |
291
+ | 0.0551 | 3450 | 0.0031 | - |
292
+ | 0.0559 | 3500 | 0.0024 | - |
293
+ | 0.0567 | 3550 | 0.0019 | - |
294
+ | 0.0575 | 3600 | 0.0036 | - |
295
+ | 0.0583 | 3650 | 0.0058 | - |
296
+ | 0.0591 | 3700 | 0.0024 | - |
297
+ | 0.0599 | 3750 | 0.0021 | - |
298
+ | 0.0607 | 3800 | 0.0015 | - |
299
+ | 0.0615 | 3850 | 0.0015 | - |
300
+ | 0.0623 | 3900 | 0.0016 | - |
301
+ | 0.0631 | 3950 | 0.0009 | - |
302
+ | 0.0639 | 4000 | 0.0014 | - |
303
+ | 0.0647 | 4050 | 0.0014 | - |
304
+ | 0.0655 | 4100 | 0.0021 | - |
305
+ | 0.0663 | 4150 | 0.0008 | - |
306
+ | 0.0671 | 4200 | 0.0031 | - |
307
+ | 0.0679 | 4250 | 0.0008 | - |
308
+ | 0.0687 | 4300 | 0.0025 | - |
309
+ | 0.0695 | 4350 | 0.0028 | - |
310
+ | 0.0703 | 4400 | 0.0025 | - |
311
+ | 0.0711 | 4450 | 0.0007 | - |
312
+ | 0.0719 | 4500 | 0.0018 | - |
313
+ | 0.0727 | 4550 | 0.0012 | - |
314
+ | 0.0735 | 4600 | 0.0012 | - |
315
+ | 0.0743 | 4650 | 0.0006 | - |
316
+ | 0.0751 | 4700 | 0.0006 | - |
317
+ | 0.0759 | 4750 | 0.0031 | - |
318
+ | 0.0767 | 4800 | 0.0017 | - |
319
+ | 0.0775 | 4850 | 0.0007 | - |
320
+ | 0.0783 | 4900 | 0.0011 | - |
321
+ | 0.0791 | 4950 | 0.0006 | - |
322
+ | 0.0799 | 5000 | 0.0006 | - |
323
+ | 0.0807 | 5050 | 0.0005 | - |
324
+ | 0.0815 | 5100 | 0.0005 | - |
325
+ | 0.0823 | 5150 | 0.0005 | - |
326
+ | 0.0831 | 5200 | 0.0005 | - |
327
+ | 0.0839 | 5250 | 0.0005 | - |
328
+ | 0.0847 | 5300 | 0.0005 | - |
329
+ | 0.0855 | 5350 | 0.0005 | - |
330
+ | 0.0863 | 5400 | 0.0005 | - |
331
+ | 0.0871 | 5450 | 0.0005 | - |
332
+ | 0.0879 | 5500 | 0.0004 | - |
333
+ | 0.0887 | 5550 | 0.0005 | - |
334
+ | 0.0895 | 5600 | 0.0004 | - |
335
+ | 0.0903 | 5650 | 0.0004 | - |
336
+ | 0.0911 | 5700 | 0.0004 | - |
337
+ | 0.0919 | 5750 | 0.0004 | - |
338
+ | 0.0927 | 5800 | 0.0004 | - |
339
+ | 0.0935 | 5850 | 0.0035 | - |
340
+ | 0.0943 | 5900 | 0.0112 | - |
341
+ | 0.0951 | 5950 | 0.0054 | - |
342
+ | 0.0959 | 6000 | 0.0058 | - |
343
+ | 0.0967 | 6050 | 0.0027 | - |
344
+ | 0.0975 | 6100 | 0.0051 | - |
345
+ | 0.0983 | 6150 | 0.0038 | - |
346
+ | 0.0991 | 6200 | 0.0031 | - |
347
+ | 0.0999 | 6250 | 0.0038 | - |
348
+ | 0.1007 | 6300 | 0.0021 | - |
349
+ | 0.1015 | 6350 | 0.0029 | - |
350
+ | 0.1023 | 6400 | 0.0018 | - |
351
+ | 0.1031 | 6450 | 0.0035 | - |
352
+ | 0.1039 | 6500 | 0.0017 | - |
353
+ | 0.1047 | 6550 | 0.0026 | - |
354
+ | 0.1055 | 6600 | 0.0016 | - |
355
+ | 0.1063 | 6650 | 0.0016 | - |
356
+ | 0.1071 | 6700 | 0.0004 | - |
357
+ | 0.1079 | 6750 | 0.001 | - |
358
+ | 0.1087 | 6800 | 0.0028 | - |
359
+ | 0.1095 | 6850 | 0.001 | - |
360
+ | 0.1103 | 6900 | 0.0003 | - |
361
+ | 0.1111 | 6950 | 0.001 | - |
362
+ | 0.1119 | 7000 | 0.0016 | - |
363
+ | 0.1127 | 7050 | 0.0003 | - |
364
+ | 0.1135 | 7100 | 0.0022 | - |
365
+ | 0.1143 | 7150 | 0.0022 | - |
366
+ | 0.1151 | 7200 | 0.0016 | - |
367
+ | 0.1159 | 7250 | 0.0007 | - |
368
+ | 0.1167 | 7300 | 0.0003 | - |
369
+ | 0.1175 | 7350 | 0.0006 | - |
370
+ | 0.1183 | 7400 | 0.0026 | - |
371
+ | 0.1191 | 7450 | 0.0004 | - |
372
+ | 0.1199 | 7500 | 0.0008 | - |
373
+ | 0.1207 | 7550 | 0.0004 | - |
374
+ | 0.1215 | 7600 | 0.0003 | - |
375
+ | 0.1223 | 7650 | 0.0004 | - |
376
+ | 0.1231 | 7700 | 0.0023 | - |
377
+ | 0.1239 | 7750 | 0.0004 | - |
378
+ | 0.1247 | 7800 | 0.0005 | - |
379
+ | 0.1255 | 7850 | 0.0005 | - |
380
+ | 0.1263 | 7900 | 0.0016 | - |
381
+ | 0.1271 | 7950 | 0.0005 | - |
382
+ | 0.1279 | 8000 | 0.0004 | - |
383
+ | 0.1287 | 8050 | 0.0003 | - |
384
+ | 0.1295 | 8100 | 0.0014 | - |
385
+ | 0.1303 | 8150 | 0.0052 | - |
386
+ | 0.1311 | 8200 | 0.005 | - |
387
+ | 0.1319 | 8250 | 0.0051 | - |
388
+ | 0.1327 | 8300 | 0.0009 | - |
389
+ | 0.1335 | 8350 | 0.0003 | - |
390
+ | 0.1343 | 8400 | 0.0004 | - |
391
+ | 0.1351 | 8450 | 0.0003 | - |
392
+ | 0.1359 | 8500 | 0.0003 | - |
393
+ | 0.1367 | 8550 | 0.0009 | - |
394
+ | 0.1375 | 8600 | 0.0003 | - |
395
+ | 0.1383 | 8650 | 0.0003 | - |
396
+ | 0.1391 | 8700 | 0.0003 | - |
397
+ | 0.1399 | 8750 | 0.0009 | - |
398
+ | 0.1407 | 8800 | 0.0012 | - |
399
+ | 0.1415 | 8850 | 0.0009 | - |
400
+ | 0.1423 | 8900 | 0.0003 | - |
401
+ | 0.1431 | 8950 | 0.0002 | - |
402
+ | 0.1439 | 9000 | 0.0002 | - |
403
+ | 0.1447 | 9050 | 0.0002 | - |
404
+ | 0.1455 | 9100 | 0.0002 | - |
405
+ | 0.1463 | 9150 | 0.0002 | - |
406
+ | 0.1471 | 9200 | 0.0002 | - |
407
+ | 0.1479 | 9250 | 0.0003 | - |
408
+ | 0.1487 | 9300 | 0.0002 | - |
409
+ | 0.1494 | 9350 | 0.0002 | - |
410
+ | 0.1502 | 9400 | 0.0002 | - |
411
+ | 0.1510 | 9450 | 0.0002 | - |
412
+ | 0.1518 | 9500 | 0.0002 | - |
413
+ | 0.1526 | 9550 | 0.0002 | - |
414
+ | 0.1534 | 9600 | 0.0002 | - |
415
+ | 0.1542 | 9650 | 0.0002 | - |
416
+ | 0.1550 | 9700 | 0.0002 | - |
417
+ | 0.1558 | 9750 | 0.0002 | - |
418
+ | 0.1566 | 9800 | 0.0002 | - |
419
+ | 0.1574 | 9850 | 0.0002 | - |
420
+ | 0.1582 | 9900 | 0.0002 | - |
421
+ | 0.1590 | 9950 | 0.0002 | - |
422
+ | 0.1598 | 10000 | 0.0002 | - |
423
+ | 0.1606 | 10050 | 0.0002 | - |
424
+ | 0.1614 | 10100 | 0.0002 | - |
425
+ | 0.1622 | 10150 | 0.0002 | - |
426
+ | 0.1630 | 10200 | 0.0002 | - |
427
+ | 0.1638 | 10250 | 0.0002 | - |
428
+ | 0.1646 | 10300 | 0.0002 | - |
429
+ | 0.1654 | 10350 | 0.0002 | - |
430
+ | 0.1662 | 10400 | 0.0002 | - |
431
+ | 0.1670 | 10450 | 0.0002 | - |
432
+ | 0.1678 | 10500 | 0.0002 | - |
433
+ | 0.1686 | 10550 | 0.0002 | - |
434
+ | 0.1694 | 10600 | 0.0002 | - |
435
+ | 0.1702 | 10650 | 0.0002 | - |
436
+ | 0.1710 | 10700 | 0.0002 | - |
437
+ | 0.1718 | 10750 | 0.0002 | - |
438
+ | 0.1726 | 10800 | 0.0002 | - |
439
+ | 0.1734 | 10850 | 0.0002 | - |
440
+ | 0.1742 | 10900 | 0.0002 | - |
441
+ | 0.1750 | 10950 | 0.0002 | - |
442
+ | 0.1758 | 11000 | 0.0002 | - |
443
+ | 0.1766 | 11050 | 0.0002 | - |
444
+ | 0.1774 | 11100 | 0.0002 | - |
445
+ | 0.1782 | 11150 | 0.0002 | - |
446
+ | 0.1790 | 11200 | 0.0002 | - |
447
+ | 0.1798 | 11250 | 0.0002 | - |
448
+ | 0.1806 | 11300 | 0.0002 | - |
449
+ | 0.1814 | 11350 | 0.0002 | - |
450
+ | 0.1822 | 11400 | 0.0002 | - |
451
+ | 0.1830 | 11450 | 0.0002 | - |
452
+ | 0.1838 | 11500 | 0.0002 | - |
453
+ | 0.1846 | 11550 | 0.0002 | - |
454
+ | 0.1854 | 11600 | 0.0002 | - |
455
+ | 0.1862 | 11650 | 0.0002 | - |
456
+ | 0.1870 | 11700 | 0.0002 | - |
457
+ | 0.1878 | 11750 | 0.0002 | - |
458
+ | 0.1886 | 11800 | 0.0001 | - |
459
+ | 0.1894 | 11850 | 0.0002 | - |
460
+ | 0.1902 | 11900 | 0.0002 | - |
461
+ | 0.1910 | 11950 | 0.0001 | - |
462
+ | 0.1918 | 12000 | 0.0001 | - |
463
+ | 0.1926 | 12050 | 0.0001 | - |
464
+ | 0.1934 | 12100 | 0.0001 | - |
465
+ | 0.1942 | 12150 | 0.0001 | - |
466
+ | 0.1950 | 12200 | 0.0001 | - |
467
+ | 0.1958 | 12250 | 0.0001 | - |
468
+ | 0.1966 | 12300 | 0.0001 | - |
469
+ | 0.1974 | 12350 | 0.0001 | - |
470
+ | 0.1982 | 12400 | 0.0001 | - |
471
+ | 0.1990 | 12450 | 0.0001 | - |
472
+ | 0.1998 | 12500 | 0.0001 | - |
473
+ | 0.2006 | 12550 | 0.0001 | - |
474
+ | 0.2014 | 12600 | 0.0001 | - |
475
+ | 0.2022 | 12650 | 0.0001 | - |
476
+ | 0.2030 | 12700 | 0.0001 | - |
477
+ | 0.2038 | 12750 | 0.0001 | - |
478
+ | 0.2046 | 12800 | 0.0001 | - |
479
+ | 0.2054 | 12850 | 0.0001 | - |
480
+ | 0.2062 | 12900 | 0.0001 | - |
481
+ | 0.2070 | 12950 | 0.0001 | - |
482
+ | 0.2078 | 13000 | 0.0001 | - |
483
+ | 0.2086 | 13050 | 0.0001 | - |
484
+ | 0.2094 | 13100 | 0.0001 | - |
485
+ | 0.2102 | 13150 | 0.0001 | - |
486
+ | 0.2110 | 13200 | 0.0001 | - |
487
+ | 0.2118 | 13250 | 0.0001 | - |
488
+ | 0.2126 | 13300 | 0.0001 | - |
489
+ | 0.2134 | 13350 | 0.0001 | - |
490
+ | 0.2142 | 13400 | 0.0001 | - |
491
+ | 0.2150 | 13450 | 0.0001 | - |
492
+ | 0.2158 | 13500 | 0.0001 | - |
493
+ | 0.2166 | 13550 | 0.0001 | - |
494
+ | 0.2174 | 13600 | 0.0001 | - |
495
+ | 0.2182 | 13650 | 0.0001 | - |
496
+ | 0.2190 | 13700 | 0.0001 | - |
497
+ | 0.2198 | 13750 | 0.0001 | - |
498
+ | 0.2206 | 13800 | 0.0001 | - |
499
+ | 0.2214 | 13850 | 0.0001 | - |
500
+ | 0.2222 | 13900 | 0.0001 | - |
501
+ | 0.2230 | 13950 | 0.0001 | - |
502
+ | 0.2238 | 14000 | 0.0001 | - |
503
+ | 0.2246 | 14050 | 0.0001 | - |
504
+ | 0.2254 | 14100 | 0.0001 | - |
505
+ | 0.2262 | 14150 | 0.0001 | - |
506
+ | 0.2270 | 14200 | 0.0001 | - |
507
+ | 0.2278 | 14250 | 0.0001 | - |
508
+ | 0.2286 | 14300 | 0.0001 | - |
509
+ | 0.2294 | 14350 | 0.0001 | - |
510
+ | 0.2302 | 14400 | 0.0001 | - |
511
+ | 0.2310 | 14450 | 0.0001 | - |
512
+ | 0.2318 | 14500 | 0.0001 | - |
513
+ | 0.2326 | 14550 | 0.0001 | - |
514
+ | 0.2334 | 14600 | 0.0001 | - |
515
+ | 0.2342 | 14650 | 0.0001 | - |
516
+ | 0.2350 | 14700 | 0.0001 | - |
517
+ | 0.2358 | 14750 | 0.0001 | - |
518
+ | 0.2366 | 14800 | 0.0001 | - |
519
+ | 0.2374 | 14850 | 0.0001 | - |
520
+ | 0.2382 | 14900 | 0.0001 | - |
521
+ | 0.2390 | 14950 | 0.0001 | - |
522
+ | 0.2398 | 15000 | 0.0001 | - |
523
+ | 0.2406 | 15050 | 0.0001 | - |
524
+ | 0.2414 | 15100 | 0.0001 | - |
525
+ | 0.2422 | 15150 | 0.0001 | - |
526
+ | 0.2430 | 15200 | 0.0001 | - |
527
+ | 0.2438 | 15250 | 0.0001 | - |
528
+ | 0.2446 | 15300 | 0.0001 | - |
529
+ | 0.2454 | 15350 | 0.0001 | - |
530
+ | 0.2462 | 15400 | 0.0001 | - |
531
+ | 0.2470 | 15450 | 0.0001 | - |
532
+ | 0.2478 | 15500 | 0.0001 | - |
533
+ | 0.2485 | 15550 | 0.0001 | - |
534
+ | 0.2493 | 15600 | 0.0001 | - |
535
+ | 0.2501 | 15650 | 0.0001 | - |
536
+ | 0.2509 | 15700 | 0.0001 | - |
537
+ | 0.2517 | 15750 | 0.0001 | - |
538
+ | 0.2525 | 15800 | 0.0001 | - |
539
+ | 0.2533 | 15850 | 0.0001 | - |
540
+ | 0.2541 | 15900 | 0.0001 | - |
541
+ | 0.2549 | 15950 | 0.0001 | - |
542
+ | 0.2557 | 16000 | 0.0001 | - |
543
+ | 0.2565 | 16050 | 0.0001 | - |
544
+ | 0.2573 | 16100 | 0.0001 | - |
545
+ | 0.2581 | 16150 | 0.0001 | - |
546
+ | 0.2589 | 16200 | 0.0001 | - |
547
+ | 0.2597 | 16250 | 0.0001 | - |
548
+ | 0.2605 | 16300 | 0.0001 | - |
549
+ | 0.2613 | 16350 | 0.0001 | - |
550
+ | 0.2621 | 16400 | 0.0001 | - |
551
+ | 0.2629 | 16450 | 0.0011 | - |
552
+ | 0.2637 | 16500 | 0.0011 | - |
553
+ | 0.2645 | 16550 | 0.0022 | - |
554
+ | 0.2653 | 16600 | 0.0055 | - |
555
+ | 0.2661 | 16650 | 0.0012 | - |
556
+ | 0.2669 | 16700 | 0.0023 | - |
557
+ | 0.2677 | 16750 | 0.0016 | - |
558
+ | 0.2685 | 16800 | 0.0001 | - |
559
+ | 0.2693 | 16850 | 0.0001 | - |
560
+ | 0.2701 | 16900 | 0.0001 | - |
561
+ | 0.2709 | 16950 | 0.0001 | - |
562
+ | 0.2717 | 17000 | 0.0001 | - |
563
+ | 0.2725 | 17050 | 0.0001 | - |
564
+ | 0.2733 | 17100 | 0.0001 | - |
565
+ | 0.2741 | 17150 | 0.0001 | - |
566
+ | 0.2749 | 17200 | 0.0001 | - |
567
+ | 0.2757 | 17250 | 0.0001 | - |
568
+ | 0.2765 | 17300 | 0.0001 | - |
569
+ | 0.2773 | 17350 | 0.0001 | - |
570
+ | 0.2781 | 17400 | 0.0001 | - |
571
+ | 0.2789 | 17450 | 0.0001 | - |
572
+ | 0.2797 | 17500 | 0.0001 | - |
573
+ | 0.2805 | 17550 | 0.0001 | - |
574
+ | 0.2813 | 17600 | 0.0001 | - |
575
+ | 0.2821 | 17650 | 0.0001 | - |
576
+ | 0.2829 | 17700 | 0.0001 | - |
577
+ | 0.2837 | 17750 | 0.0001 | - |
578
+ | 0.2845 | 17800 | 0.0003 | - |
579
+ | 0.2853 | 17850 | 0.0001 | - |
580
+ | 0.2861 | 17900 | 0.0001 | - |
581
+ | 0.2869 | 17950 | 0.0001 | - |
582
+ | 0.2877 | 18000 | 0.0001 | - |
583
+ | 0.2885 | 18050 | 0.0001 | - |
584
+ | 0.2893 | 18100 | 0.0001 | - |
585
+ | 0.2901 | 18150 | 0.0001 | - |
586
+ | 0.2909 | 18200 | 0.0001 | - |
587
+ | 0.2917 | 18250 | 0.0001 | - |
588
+ | 0.2925 | 18300 | 0.0001 | - |
589
+ | 0.2933 | 18350 | 0.0001 | - |
590
+ | 0.2941 | 18400 | 0.0001 | - |
591
+ | 0.2949 | 18450 | 0.0001 | - |
592
+ | 0.2957 | 18500 | 0.0001 | - |
593
+ | 0.2965 | 18550 | 0.0001 | - |
594
+ | 0.2973 | 18600 | 0.0001 | - |
595
+ | 0.2981 | 18650 | 0.0001 | - |
596
+ | 0.2989 | 18700 | 0.0001 | - |
597
+ | 0.2997 | 18750 | 0.0001 | - |
598
+ | 0.3005 | 18800 | 0.0001 | - |
599
+ | 0.3013 | 18850 | 0.0001 | - |
600
+ | 0.3021 | 18900 | 0.0001 | - |
601
+ | 0.3029 | 18950 | 0.0001 | - |
602
+ | 0.3037 | 19000 | 0.0001 | - |
603
+ | 0.3045 | 19050 | 0.0001 | - |
604
+ | 0.3053 | 19100 | 0.0001 | - |
605
+ | 0.3061 | 19150 | 0.0001 | - |
606
+ | 0.3069 | 19200 | 0.0001 | - |
607
+ | 0.3077 | 19250 | 0.0001 | - |
608
+ | 0.3085 | 19300 | 0.0001 | - |
609
+ | 0.3093 | 19350 | 0.0001 | - |
610
+ | 0.3101 | 19400 | 0.0001 | - |
611
+ | 0.3109 | 19450 | 0.0001 | - |
612
+ | 0.3117 | 19500 | 0.0001 | - |
613
+ | 0.3125 | 19550 | 0.0001 | - |
614
+ | 0.3133 | 19600 | 0.0001 | - |
615
+ | 0.3141 | 19650 | 0.0001 | - |
616
+ | 0.3149 | 19700 | 0.0001 | - |
617
+ | 0.3157 | 19750 | 0.0001 | - |
618
+ | 0.3165 | 19800 | 0.0 | - |
619
+ | 0.3173 | 19850 | 0.0001 | - |
620
+ | 0.3181 | 19900 | 0.0001 | - |
621
+ | 0.3189 | 19950 | 0.0001 | - |
622
+ | 0.3197 | 20000 | 0.0001 | - |
623
+ | 0.3205 | 20050 | 0.0001 | - |
624
+ | 0.3213 | 20100 | 0.0001 | - |
625
+ | 0.3221 | 20150 | 0.0001 | - |
626
+ | 0.3229 | 20200 | 0.0 | - |
627
+ | 0.3237 | 20250 | 0.0001 | - |
628
+ | 0.3245 | 20300 | 0.0 | - |
629
+ | 0.3253 | 20350 | 0.0001 | - |
630
+ | 0.3261 | 20400 | 0.0 | - |
631
+ | 0.3269 | 20450 | 0.0 | - |
632
+ | 0.3277 | 20500 | 0.0 | - |
633
+ | 0.3285 | 20550 | 0.0001 | - |
634
+ | 0.3293 | 20600 | 0.0 | - |
635
+ | 0.3301 | 20650 | 0.0 | - |
636
+ | 0.3309 | 20700 | 0.0 | - |
637
+ | 0.3317 | 20750 | 0.0 | - |
638
+ | 0.3325 | 20800 | 0.0 | - |
639
+ | 0.3333 | 20850 | 0.0 | - |
640
+ | 0.3341 | 20900 | 0.0 | - |
641
+ | 0.3349 | 20950 | 0.0 | - |
642
+ | 0.3357 | 21000 | 0.0 | - |
643
+ | 0.3365 | 21050 | 0.0 | - |
644
+ | 0.3373 | 21100 | 0.0 | - |
645
+ | 0.3381 | 21150 | 0.0 | - |
646
+ | 0.3389 | 21200 | 0.0 | - |
647
+ | 0.3397 | 21250 | 0.0 | - |
648
+ | 0.3405 | 21300 | 0.0 | - |
649
+ | 0.3413 | 21350 | 0.0 | - |
650
+ | 0.3421 | 21400 | 0.0 | - |
651
+ | 0.3429 | 21450 | 0.0 | - |
652
+ | 0.3437 | 21500 | 0.0 | - |
653
+ | 0.3445 | 21550 | 0.0 | - |
654
+ | 0.3453 | 21600 | 0.0 | - |
655
+ | 0.3461 | 21650 | 0.0 | - |
656
+ | 0.3469 | 21700 | 0.0 | - |
657
+ | 0.3476 | 21750 | 0.0 | - |
658
+ | 0.3484 | 21800 | 0.0 | - |
659
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967
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969
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970
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978
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980
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982
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983
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985
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986
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987
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988
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989
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990
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991
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993
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994
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995
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996
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997
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998
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1000
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1001
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1002
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1003
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1004
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1005
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1006
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1007
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1008
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1016
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1017
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1018
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1019
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1020
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1021
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1022
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1023
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1024
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1025
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1026
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1027
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1028
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1029
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1030
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1031
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1032
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1033
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1034
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1035
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1036
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1037
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1038
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1039
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1040
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1041
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1042
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1043
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1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
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1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
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1096
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1097
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1098
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1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
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1108
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1109
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1125
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1141
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1142
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1146
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1148
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1150
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1151
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1152
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1153
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1154
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1156
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1157
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1158
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1159
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1160
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1161
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1189
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1197
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1198
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1199
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1200
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1201
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1202
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1203
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1204
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1205
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1206
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1207
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1208
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1209
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1210
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1211
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1212
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1234
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1235
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1236
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1237
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1250
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1251
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1252
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1253
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1257
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1258
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1259
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1260
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1261
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1262
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1273
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1277
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1278
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1281
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1282
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1285
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1287
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1288
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1289
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1291
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1297
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1300
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1301
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1302
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1303
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1304
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1305
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1306
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1307
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1308
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1309
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1310
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1311
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1312
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1319
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1320
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
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1331
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1332
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1333
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1334
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1335
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1336
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1337
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1338
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1339
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1340
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1341
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1342
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1343
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1344
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1345
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1346
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1347
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1348
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1349
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1350
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1351
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1352
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1353
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1354
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1355
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1356
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1357
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1358
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1359
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1360
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1361
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1362
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1363
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1364
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1365
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1366
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1367
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1368
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1369
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1370
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1371
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1372
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1373
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1374
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1375
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1376
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1377
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1378
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1379
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1380
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1381
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1382
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1383
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1384
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1385
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1386
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1387
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1388
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1389
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1390
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1391
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1392
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1393
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1394
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1395
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1396
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1397
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1398
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1399
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1400
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1401
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1402
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1403
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1404
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1405
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1406
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1407
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1408
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1409
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1410
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1411
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1412
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1413
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1416
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1417
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1418
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1419
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1420
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1421
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1422
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1423
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1424
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1431
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1447
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1448
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1449
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1450
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1451
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1452
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1453
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+ | 1.0 | 62563 | - | 0.0913 |
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+
1476
+ ### Framework Versions
1477
+ - Python: 3.12.7
1478
+ - SetFit: 1.1.0
1479
+ - Sentence Transformers: 3.3.1
1480
+ - Transformers: 4.47.0
1481
+ - PyTorch: 2.5.1+cu124
1482
+ - Datasets: 3.1.0
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+ - Tokenizers: 0.21.0
1484
+
1485
+ ## Citation
1486
+
1487
+ ### BibTeX
1488
+ ```bibtex
1489
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
1490
+ doi = {10.48550/ARXIV.2209.11055},
1491
+ url = {https://arxiv.org/abs/2209.11055},
1492
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
1493
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
1494
+ title = {Efficient Few-Shot Learning Without Prompts},
1495
+ publisher = {arXiv},
1496
+ year = {2022},
1497
+ copyright = {Creative Commons Attribution 4.0 International}
1498
+ }
1499
+ ```
1500
+
1501
+ <!--
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+ ## Glossary
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+
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+ *Clearly define terms in order to be accessible across audiences.*
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+ -->
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+
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+ <!--
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+ ## Model Card Authors
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+
1510
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
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+ -->
1512
+
1513
+ <!--
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+ ## Model Card Contact
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+
1516
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
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+ -->
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