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---
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm
- text: 'Tiong Bahru Plaza, DDC L4-1, PAU-L4-03 supply air temperature (Units: °C).2'
- text: Tiong Bahru Plaza, DDC-L20, AHU 20-1 VSD CONTROL
- text: 'Tiong Bahru Plaza, VAV 19-7, Discharge Air Flow (Units: m3/h)'
- text: Tiong Bahru Plaza, DDC-L2-5, PAU-L2-02 VSD control
pipeline_tag: text-classification
inference: true
base_model: sentence-transformers/paraphrase-MiniLM-L3-v2
model-index:
- name: SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: accuracy
value: 0.8019925280199253
name: Accuracy
---
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-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.
The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.
## Model Details
### Model Description
- **Model Type:** SetFit
- **Sentence Transformer body:** [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 128 tokens
- **Number of Classes:** 42 classes
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
### Model Labels
| Label | Examples |
|:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 13 | <ul><li>'Tiong Bahru Plaza, DDC L14-1, AHU 14-1 TRIP ALARM'</li><li>'Tiong Bahru Plaza, DDC-L1-1, AHU-L1-01 trip alarm'</li><li>'Tiong Bahru Plaza, DDC-B1-5, AHU-B1-2-Trip'</li></ul> |
| 4 | <ul><li>'Tiong Bahru Plaza, DDC L12, AHU 10-1 FLOW'</li><li>'Tiong Bahru Plaza, DDC-L6, AHU 4-1 Flow'</li><li>'Tiong Bahru Plaza, DDC L14-1, AHU 12-1 Flow (Units: Pa)'</li></ul> |
| 8 | <ul><li>'Tiong Bahru Plaza, DDC-L6, AHU 5-3 OCT (Units: °C)'</li><li>'Tiong Bahru Plaza, DDC-L2-8, PAU-L2-03 supply air temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, DDC-L20, AHU 20-1 OCT (Units: °C)'</li></ul> |
| 16 | <ul><li>'Tiong Bahru Plaza, VAV 19-14, Discharge Air Temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, VAV 19-2, Discharge Air Temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, VAV 19-17, Discharge Air Temperature (Units: °C)'</li></ul> |
| 2 | <ul><li>'Tiong Bahru Plaza, DDC-9-1, AHU 7-1 FAD Feedback'</li><li>'Tiong Bahru Plaza, DDC-L1-1, AHU-L1-01 FAD feedback'</li><li>'Tiong Bahru Plaza, DDC L12, AHU 10-1 FAD Feedback'</li></ul> |
| 9 | <ul><li>'Tiong Bahru Plaza, DDC-L3-2, AHU-6-2A VSD feedback'</li><li>'Tiong Bahru Plaza, DDC-L1-5, AHU-L3-04A VSD feedback'</li><li>'Tiong Bahru Plaza, DDC-L1-5, PAU-L1-06 VSD feedback'</li></ul> |
| 6 | <ul><li>'Tiong Bahru Plaza, DDC-L2-5, PAU-L2-04 modulating valve feedback'</li><li>'Tiong Bahru Plaza, DDC-L1-3, AHU-L2-02 modulating valve feedback'</li><li>'Tiong Bahru Plaza, DDC-L2-2, AHU-L2-05 modulating valve feedback'</li></ul> |
| 21 | <ul><li>'Tiong Bahru Plaza, VAV 19-6, Active Setpoint (Units: °C).1'</li><li>'Tiong Bahru Plaza, VAV 19-12, Active Setpoint (Units: °C)'</li><li>'Tiong Bahru Plaza, VAV 18-17, Active Setpoint (Units: °C)'</li></ul> |
| 10 | <ul><li>'Tiong Bahru Plaza, DDC-L1-4, PAU-L1-05 Start/Stop Control'</li><li>'Tiong Bahru Plaza, DDC L14-1, AHU12-1 Start/Stop'</li><li>'Tiong Bahru Plaza, DDC-9-1, AHU 8-1 Start/Stop Control'</li></ul> |
| 35 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CWS Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 4 CWS Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 4 CHWS Temperature'</li></ul> |
| 7 | <ul><li>'Tiong Bahru Plaza, DDC-L3-3, AHU-L3-1 returm air temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, DDC-B1-6, AHU-B1-1 Return Temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 returm air temperature (Units: °C)'</li></ul> |
| 1 | <ul><li>'Tiong Bahru Plaza, DDC B1-4, PAU-B1-1 Static pressure'</li><li>'Tiong Bahru Plaza, DDC-L3-2, PAU-L3-01 static pressure (Units: Pa)'</li><li>'Tiong Bahru Plaza, DDC-L1-4, PAU-L1-05 Static pressure (Units: Pa)'</li></ul> |
| 26 | <ul><li>'Tiong Bahru Plaza, MB-T2-1, Active Power kW'</li><li>'Tiong Bahru Plaza, MB-1-S2, Active Power kW'</li><li>'Tiong Bahru Plaza, MB-4-S1, Active Power kW'</li></ul> |
| 34 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 4 CWR Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 3 CHWR Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 4 CHWR Temperature'</li></ul> |
| 18 | <ul><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor humidity (Units: %)'</li><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor humidity (Units: %).1'</li><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor humidity (Units: %).2'</li></ul> |
| 0 | <ul><li>'Tiong Bahru Plaza, DDC-L20, Co2 Level 18'</li><li>'Tiong Bahru Plaza, DDC L14-1, AHU 13-1 CO2 Reading (Units: ppm).1'</li><li>'Tiong Bahru Plaza, DDC-L1-5, AHU-L3-04A CO2 sensor reading (Units: ppm)'</li></ul> |
| 17 | <ul><li>'Tiong Bahru Plaza, DDC-L1-1, PAU-L1-01 switch mode'</li><li>'Tiong Bahru Plaza, DDC B1-3, Pau-B1-02-Switch Mode'</li><li>'Tiong Bahru Plaza, DDC-L2-5, PAU-L2-04 switch mode'</li></ul> |
| 14 | <ul><li>'Tiong Bahru Plaza, VAV 19-7, Space Temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, VAV 19-12, Space Temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, VAV 19-5, Space Temperature (Units: °C)'</li></ul> |
| 11 | <ul><li>'Tiong Bahru Plaza, DDC-L1-1, AHU-L1-01 on/off status'</li><li>'Tiong Bahru Plaza, DDC L14-1, AHU 15-1 ON/OFF STATUS'</li><li>'Tiong Bahru Plaza, DDC-9-1, AHU 8-1 On/Off Status'</li></ul> |
| 41 | <ul><li>'Tiong Bahru Plaza, VAV 19-14, Air Valve Position (Units: %)'</li><li>'Tiong Bahru Plaza, VAV 19-6, Air Valve Position (Units: %).1'</li><li>'Tiong Bahru Plaza, VAV 19-21, Air Valve Position (Units: %)'</li></ul> |
| 5 | <ul><li>'Tiong Bahru Plaza, DDC-L1-4, PAU-L1-05 valve control (Units: %)'</li><li>'Tiong Bahru Plaza, DDC L12, AHU 10-1 VALVE CONTROL (Units: %)'</li><li>'Tiong Bahru Plaza, DDC-L1-3, AHU-L2-02 valve control (Units: %)'</li></ul> |
| 20 | <ul><li>'Tiong Bahru Plaza, VAV 19-19, Air Flow Setpoint Active (Units: m3/h)'</li><li>'Tiong Bahru Plaza, VAV-19-A, Air Flow Setpoint Active (Units: m3/h)'</li><li>'Tiong Bahru Plaza, VAV 19-4, Air Flow Setpoint Active (Units: m3/h)'</li></ul> |
| 37 | <ul><li>'Tiong Bahru Plaza, UC800_101001_Chiller_1, Evaporator Refrigerant Pressure - Circuit 1 (Units: Pa)'</li><li>'Tiong Bahru Plaza, UC800_3, Evaporator Refrigerant Pressure - Circuit 1 (Units: Pa)'</li><li>'Tiong Bahru Plaza, UC800_102002_Chiller_2, Evaporator Refrigerant Pressure - Circuit 1 (Units: Pa)'</li></ul> |
| 31 | <ul><li>'Tiong Bahru Plaza, UC800_102004, Cond Water Flow'</li><li>'Tiong Bahru Plaza, UC800_102004, Condenser Water Flow'</li><li>'Tiong Bahru Plaza, UC800_102005, Condenser Water Flow'</li></ul> |
| 3 | <ul><li>'Tiong Bahru Plaza, DDC-L1-5, AHU-L3-04A FAD control'</li><li>'Tiong Bahru Plaza, DDC-L6, AHU 4-1 FAD Control'</li><li>'Tiong Bahru Plaza, DDC-L17, AHU 16-1 FAD Control (Units: %)'</li></ul> |
| 15 | <ul><li>'Tiong Bahru Plaza, VAV 19-2, Discharge Air Flow (Units: m3/h)'</li><li>'Tiong Bahru Plaza, VAV 19-16, Discharge Air Flow (Units: m3/h)'</li><li>'Tiong Bahru Plaza, VAV 19-12, Discharge Air Flow (Units: m3/h)'</li></ul> |
| 36 | <ul><li>'Tiong Bahru Plaza, UC800_102002_Chiller_2, Entering Condenser Water (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_101001_Chiller_1, Entering Condenser Water (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_3, Entering Condenser Water (Units: °C)'</li></ul> |
| 12 | <ul><li>'Tiong Bahru Plaza, DDC-L20, PAHU TR-1(R-1) SMOKE ALARM'</li><li>'Tiong Bahru Plaza, DDC-L1-4, PAU-L1-03 smoke alarm'</li><li>'Tiong Bahru Plaza, DDC-L1-3, AHU-L1-02 smoke alarm'</li></ul> |
| 30 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Head CWR Temp'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CWR Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CWR Temp'</li></ul> |
| 19 | <ul><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor temperature (Units: °C).2'</li><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor temperature (Units: °C)'</li><li>'Tiong Bahru Plaza, DDC_L4-3, Outdoor temperature (Units: °C).1'</li></ul> |
| 24 | <ul><li>'Tiong Bahru Plaza, DDC-L3-3, AHU-L3-1 VSD Const'</li><li>'Tiong Bahru Plaza, DDC L2-4, AHU L2-04 VSD control'</li><li>'Tiong Bahru Plaza, DDC-L6, AHU 4-1 VSD Control (Units: %)'</li></ul> |
| 28 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWR Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWR Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWR Temp'</li></ul> |
| 27 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Chiller 4 CHW Flowrate'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHW Flowrate'</li><li>'Tiong Bahru Plaza, UC800_102002_Chiller_2, Chilled Water Flow'</li></ul> |
| 33 | <ul><li>'Tiong Bahru Plaza, UC800_3, Condenser Saturated Refrigerant Temperature Circuit 1 (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_102002_Chiller_2, Condenser Saturated Refrigerant Temperature Circuit 1 (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_101001_Chiller_1, Evaporator Saturated Refrigerant Temperature - Circuit 1 (Units: °C)'</li></ul> |
| 25 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWS Temp'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWS Temperature'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CHWS Temperature'</li></ul> |
| 39 | <ul><li>' Chiller SC:Header Differential Pressure'</li></ul> |
| 23 | <ul><li>'Tiong Bahru Plaza, DDC-L20, PAHU TR-1 TEMPERATURE (Units: °C)'</li></ul> |
| 38 | <ul><li>'Wet Bulb Temperature'</li></ul> |
| 32 | <ul><li>'Tiong Bahru Plaza, UC800_3, Operating Mode'</li><li>'Tiong Bahru Plaza, UC800_101001_Chiller_1, Operating Mode'</li><li>'Tiong Bahru Plaza, UC800_102002_Chiller_2, Operating Mode'</li></ul> |
| 29 | <ul><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Head CWS Temp'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CWS Temp'</li><li>'Tiong Bahru Plaza, SC-10, Chiller SC, Header CWS Temperature'</li></ul> |
| 22 | <ul><li>'Tiong Bahru Plaza, DDC B1-3, Pau-B1-02-DP Sensor'</li></ul> |
| 40 | <ul><li>'Tiong Bahru Plaza, UC800_102005, Cond Entering Water Temp (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_102004, Cond Leaving Water Temp (Units: °C)'</li><li>'Tiong Bahru Plaza, UC800_102004, Cond Leaving Water Temp (Units: °C)'</li></ul> |
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
| **all** | 0.8020 |
## Uses
### Direct Use for Inference
First install the SetFit library:
```bash
pip install setfit
```
Then you can load this model and run inference.
```python
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("Varun1010/all-MiniLM-L6-v2-polaris-new-distilled")
# Run inference
preds = model("Tiong Bahru Plaza, DDC-L20, AHU 20-1 VSD CONTROL")
```
<!--
### Downstream Use
*List how someone could finetune this model on their own dataset.*
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count | 6 | 8.8589 | 14 |
| Label | Training Sample Count |
|:------|:----------------------|
| 0 | 10 |
| 1 | 10 |
| 2 | 10 |
| 3 | 10 |
| 4 | 10 |
| 5 | 10 |
| 6 | 10 |
| 7 | 10 |
| 8 | 10 |
| 9 | 10 |
| 10 | 10 |
| 11 | 10 |
| 12 | 10 |
| 13 | 10 |
| 14 | 10 |
| 15 | 10 |
| 16 | 10 |
| 17 | 10 |
| 18 | 3 |
| 19 | 3 |
| 20 | 10 |
| 21 | 10 |
| 22 | 1 |
| 23 | 1 |
| 24 | 10 |
| 25 | 4 |
| 26 | 10 |
| 27 | 8 |
| 28 | 4 |
| 29 | 3 |
| 30 | 3 |
| 31 | 4 |
| 32 | 4 |
| 33 | 6 |
| 34 | 6 |
| 35 | 5 |
| 36 | 3 |
| 37 | 3 |
| 38 | 1 |
| 39 | 1 |
| 40 | 3 |
| 41 | 10 |
### Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (1, 16)
- max_steps: 500
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.0008 | 1 | 0.1765 | - |
| 0.0376 | 50 | 0.1212 | - |
| 0.0752 | 100 | 0.0674 | - |
| 0.1129 | 150 | 0.0589 | - |
| 0.1505 | 200 | 0.039 | - |
| 0.1881 | 250 | 0.0326 | - |
| 0.2257 | 300 | 0.0365 | - |
| 0.2634 | 350 | 0.0192 | - |
| 0.3010 | 400 | 0.0254 | - |
| 0.3386 | 450 | 0.0166 | - |
| 0.3762 | 500 | 0.0139 | - |
| 0.4138 | 550 | 0.0161 | - |
| 0.4515 | 600 | 0.0116 | - |
| 0.4891 | 650 | 0.0179 | - |
| 0.5267 | 700 | 0.0184 | - |
| 0.5643 | 750 | 0.0141 | - |
| 0.6020 | 800 | 0.0159 | - |
| 0.6396 | 850 | 0.0253 | - |
| 0.6772 | 900 | 0.0064 | - |
| 0.7148 | 950 | 0.0173 | - |
| 0.7524 | 1000 | 0.0172 | - |
| 0.7901 | 1050 | 0.0108 | - |
| 0.8277 | 1100 | 0.0055 | - |
| 0.8653 | 1150 | 0.0211 | - |
| 0.9029 | 1200 | 0.0053 | - |
| 0.9406 | 1250 | 0.0175 | - |
| 0.9782 | 1300 | 0.0112 | - |
| 1.0158 | 1350 | 0.005 | - |
| 1.0534 | 1400 | 0.0046 | - |
| 1.0910 | 1450 | 0.0072 | - |
| 1.1287 | 1500 | 0.0144 | - |
| 1.1663 | 1550 | 0.0284 | - |
| 1.2039 | 1600 | 0.0039 | - |
| 1.2415 | 1650 | 0.0157 | - |
| 1.2792 | 1700 | 0.014 | - |
| 1.3168 | 1750 | 0.0082 | - |
| 1.3544 | 1800 | 0.0029 | - |
| 1.3920 | 1850 | 0.0099 | - |
| 1.4296 | 1900 | 0.0037 | - |
| 1.4673 | 1950 | 0.0097 | - |
| 1.5049 | 2000 | 0.0064 | - |
| 1.5425 | 2050 | 0.0037 | - |
| 1.5801 | 2100 | 0.0042 | - |
| 1.6178 | 2150 | 0.0167 | - |
| 1.6554 | 2200 | 0.0062 | - |
| 1.6930 | 2250 | 0.0057 | - |
| 1.7306 | 2300 | 0.0072 | - |
| 1.7682 | 2350 | 0.017 | - |
| 1.8059 | 2400 | 0.0175 | - |
| 1.8435 | 2450 | 0.0067 | - |
| 1.8811 | 2500 | 0.0162 | - |
| 1.9187 | 2550 | 0.0058 | - |
| 1.9564 | 2600 | 0.0019 | - |
| 1.9940 | 2650 | 0.0171 | - |
| 2.0316 | 2700 | 0.0072 | - |
| 2.0692 | 2750 | 0.0034 | - |
| 2.1068 | 2800 | 0.0032 | - |
| 2.1445 | 2850 | 0.0054 | - |
| 2.1821 | 2900 | 0.0025 | - |
| 2.2197 | 2950 | 0.0047 | - |
| 2.2573 | 3000 | 0.0026 | - |
| 2.2950 | 3050 | 0.002 | - |
| 2.3326 | 3100 | 0.0043 | - |
| 2.3702 | 3150 | 0.0022 | - |
| 2.4078 | 3200 | 0.0036 | - |
| 2.4454 | 3250 | 0.0023 | - |
| 2.4831 | 3300 | 0.0018 | - |
| 2.5207 | 3350 | 0.0021 | - |
| 2.5583 | 3400 | 0.0026 | - |
| 2.5959 | 3450 | 0.003 | - |
| 2.6336 | 3500 | 0.0028 | - |
| 2.6712 | 3550 | 0.0025 | - |
| 2.7088 | 3600 | 0.0026 | - |
| 2.7464 | 3650 | 0.0018 | - |
| 2.7840 | 3700 | 0.0021 | - |
| 2.8217 | 3750 | 0.0107 | - |
| 2.8593 | 3800 | 0.0024 | - |
| 2.8969 | 3850 | 0.0022 | - |
| 2.9345 | 3900 | 0.0027 | - |
| 2.9722 | 3950 | 0.0023 | - |
| 3.0098 | 4000 | 0.0015 | - |
| 3.0474 | 4050 | 0.0035 | - |
| 3.0850 | 4100 | 0.0013 | - |
| 3.1226 | 4150 | 0.0014 | - |
| 3.1603 | 4200 | 0.0013 | - |
| 3.1979 | 4250 | 0.0015 | - |
| 3.2355 | 4300 | 0.0014 | - |
| 3.2731 | 4350 | 0.0022 | - |
| 3.3108 | 4400 | 0.0012 | - |
| 3.3484 | 4450 | 0.0018 | - |
| 3.3860 | 4500 | 0.0027 | - |
| 3.4236 | 4550 | 0.0014 | - |
| 3.4612 | 4600 | 0.001 | - |
| 3.4989 | 4650 | 0.0013 | - |
| 3.5365 | 4700 | 0.0013 | - |
| 3.5741 | 4750 | 0.0014 | - |
| 3.6117 | 4800 | 0.001 | - |
| 3.6494 | 4850 | 0.0012 | - |
| 3.6870 | 4900 | 0.0053 | - |
| 3.7246 | 4950 | 0.0025 | - |
| 3.7622 | 5000 | 0.0011 | - |
| 3.7998 | 5050 | 0.0013 | - |
| 3.8375 | 5100 | 0.0019 | - |
| 3.8751 | 5150 | 0.0012 | - |
| 3.9127 | 5200 | 0.0011 | - |
| 3.9503 | 5250 | 0.0013 | - |
| 3.9880 | 5300 | 0.0017 | - |
| 4.0256 | 5350 | 0.0013 | - |
| 4.0632 | 5400 | 0.0069 | - |
| 4.1008 | 5450 | 0.0009 | - |
| 4.1384 | 5500 | 0.0022 | - |
| 4.1761 | 5550 | 0.0013 | - |
| 4.2137 | 5600 | 0.0009 | - |
| 4.2513 | 5650 | 0.0011 | - |
| 4.2889 | 5700 | 0.0013 | - |
| 4.3266 | 5750 | 0.0014 | - |
| 4.3642 | 5800 | 0.0012 | - |
| 4.4018 | 5850 | 0.0014 | - |
| 4.4394 | 5900 | 0.0039 | - |
| 4.4771 | 5950 | 0.0011 | - |
| 4.5147 | 6000 | 0.0011 | - |
| 4.5523 | 6050 | 0.0012 | - |
| 4.5899 | 6100 | 0.0011 | - |
| 4.6275 | 6150 | 0.0024 | - |
| 4.6652 | 6200 | 0.0024 | - |
| 4.7028 | 6250 | 0.0039 | - |
| 4.7404 | 6300 | 0.0029 | - |
| 4.7780 | 6350 | 0.0015 | - |
| 4.8157 | 6400 | 0.0013 | - |
| 4.8533 | 6450 | 0.0007 | - |
| 4.8909 | 6500 | 0.0008 | - |
| 4.9285 | 6550 | 0.001 | - |
| 4.9661 | 6600 | 0.0012 | - |
| 0.0020 | 1 | 0.8538 | - |
| 0.0998 | 50 | 0.429 | - |
| 0.1996 | 100 | 0.0025 | - |
| 0.2994 | 150 | 0.0015 | - |
| 0.3992 | 200 | 0.0007 | - |
| 0.4990 | 250 | 0.0005 | - |
| 0.5988 | 300 | 0.0004 | - |
| 0.6986 | 350 | 0.0003 | - |
| 0.7984 | 400 | 0.0003 | - |
| 0.8982 | 450 | 0.0004 | - |
| 0.9980 | 500 | 0.0003 | - |
### Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 2.6.1
- Transformers: 4.38.2
- PyTorch: 2.2.1+cu121
- Datasets: 2.18.0
- Tokenizers: 0.15.2
## Citation
### BibTeX
```bibtex
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
```
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