Upload folder using huggingface_hub
Browse files- 1_Pooling/config.json +10 -0
- README.md +506 -0
- config.json +25 -0
- config_sentence_transformers.json +14 -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 +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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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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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- setfit
|
| 4 |
+
- sentence-transformers
|
| 5 |
+
- text-classification
|
| 6 |
+
- generated_from_setfit_trainer
|
| 7 |
+
widget:
|
| 8 |
+
- text: dataright np^sin 2 np^pi 224 t | Audio
|
| 9 |
+
- text: robust way to ask the database for its current transaction state. | AtomicTests
|
| 10 |
+
- text: the string marking the beginning of a print statement. | Environment
|
| 11 |
+
- text: handled otherwise by a particular method. | StringMethods
|
| 12 |
+
- text: table. | PlotAccessor
|
| 13 |
+
metrics:
|
| 14 |
+
- accuracy
|
| 15 |
+
pipeline_tag: text-classification
|
| 16 |
+
library_name: setfit
|
| 17 |
+
inference: false
|
| 18 |
+
---
|
| 19 |
+
|
| 20 |
+
# SetFit
|
| 21 |
+
|
| 22 |
+
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A MultiOutputClassifier instance is used for classification.
|
| 23 |
+
|
| 24 |
+
The model has been trained using an efficient few-shot learning technique that involves:
|
| 25 |
+
|
| 26 |
+
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
|
| 27 |
+
2. Training a classification head with features from the fine-tuned Sentence Transformer.
|
| 28 |
+
|
| 29 |
+
## Model Details
|
| 30 |
+
|
| 31 |
+
### Model Description
|
| 32 |
+
- **Model Type:** SetFit
|
| 33 |
+
<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
|
| 34 |
+
- **Classification head:** a MultiOutputClassifier instance
|
| 35 |
+
- **Maximum Sequence Length:** 128 tokens
|
| 36 |
+
<!-- - **Number of Classes:** Unknown -->
|
| 37 |
+
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
|
| 38 |
+
<!-- - **Language:** Unknown -->
|
| 39 |
+
<!-- - **License:** Unknown -->
|
| 40 |
+
|
| 41 |
+
### Model Sources
|
| 42 |
+
|
| 43 |
+
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
|
| 44 |
+
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
|
| 45 |
+
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 46 |
+
|
| 47 |
+
## Uses
|
| 48 |
+
|
| 49 |
+
### Direct Use for Inference
|
| 50 |
+
|
| 51 |
+
First install the SetFit library:
|
| 52 |
+
|
| 53 |
+
```bash
|
| 54 |
+
pip install setfit
|
| 55 |
+
```
|
| 56 |
+
|
| 57 |
+
Then you can load this model and run inference.
|
| 58 |
+
|
| 59 |
+
```python
|
| 60 |
+
from setfit import SetFitModel
|
| 61 |
+
|
| 62 |
+
# Download from the 🤗 Hub
|
| 63 |
+
model = SetFitModel.from_pretrained("setfit_model_id")
|
| 64 |
+
# Run inference
|
| 65 |
+
preds = model("table. | PlotAccessor")
|
| 66 |
+
```
|
| 67 |
+
|
| 68 |
+
<!--
|
| 69 |
+
### Downstream Use
|
| 70 |
+
|
| 71 |
+
*List how someone could finetune this model on their own dataset.*
|
| 72 |
+
-->
|
| 73 |
+
|
| 74 |
+
<!--
|
| 75 |
+
### Out-of-Scope Use
|
| 76 |
+
|
| 77 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
| 78 |
+
-->
|
| 79 |
+
|
| 80 |
+
<!--
|
| 81 |
+
## Bias, Risks and Limitations
|
| 82 |
+
|
| 83 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
| 84 |
+
-->
|
| 85 |
+
|
| 86 |
+
<!--
|
| 87 |
+
### Recommendations
|
| 88 |
+
|
| 89 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
| 90 |
+
-->
|
| 91 |
+
|
| 92 |
+
## Training Details
|
| 93 |
+
|
| 94 |
+
### Training Set Metrics
|
| 95 |
+
| Training set | Min | Median | Max |
|
| 96 |
+
|:-------------|:----|:-------|:----|
|
| 97 |
+
| Word count | 3 | 8.9868 | 28 |
|
| 98 |
+
|
| 99 |
+
### Training Hyperparameters
|
| 100 |
+
- batch_size: (32, 32)
|
| 101 |
+
- num_epochs: (10, 10)
|
| 102 |
+
- max_steps: -1
|
| 103 |
+
- sampling_strategy: oversampling
|
| 104 |
+
- num_iterations: 20
|
| 105 |
+
- body_learning_rate: (2e-05, 1e-05)
|
| 106 |
+
- head_learning_rate: 0.01
|
| 107 |
+
- loss: CosineSimilarityLoss
|
| 108 |
+
- distance_metric: cosine_distance
|
| 109 |
+
- margin: 0.25
|
| 110 |
+
- end_to_end: False
|
| 111 |
+
- use_amp: False
|
| 112 |
+
- warmup_proportion: 0.1
|
| 113 |
+
- l2_weight: 0.01
|
| 114 |
+
- seed: 42
|
| 115 |
+
- eval_max_steps: -1
|
| 116 |
+
- load_best_model_at_end: False
|
| 117 |
+
|
| 118 |
+
### Training Results
|
| 119 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
| 120 |
+
|:------:|:-----:|:-------------:|:---------------:|
|
| 121 |
+
| 0.0006 | 1 | 0.2743 | - |
|
| 122 |
+
| 0.0292 | 50 | 0.3546 | - |
|
| 123 |
+
| 0.0585 | 100 | 0.3106 | - |
|
| 124 |
+
| 0.0877 | 150 | 0.2652 | - |
|
| 125 |
+
| 0.1170 | 200 | 0.2543 | - |
|
| 126 |
+
| 0.1462 | 250 | 0.2544 | - |
|
| 127 |
+
| 0.1754 | 300 | 0.2521 | - |
|
| 128 |
+
| 0.2047 | 350 | 0.2508 | - |
|
| 129 |
+
| 0.2339 | 400 | 0.2485 | - |
|
| 130 |
+
| 0.2632 | 450 | 0.2499 | - |
|
| 131 |
+
| 0.2924 | 500 | 0.2453 | - |
|
| 132 |
+
| 0.3216 | 550 | 0.2414 | - |
|
| 133 |
+
| 0.3509 | 600 | 0.2379 | - |
|
| 134 |
+
| 0.3801 | 650 | 0.2426 | - |
|
| 135 |
+
| 0.4094 | 700 | 0.2383 | - |
|
| 136 |
+
| 0.4386 | 750 | 0.2385 | - |
|
| 137 |
+
| 0.4678 | 800 | 0.2402 | - |
|
| 138 |
+
| 0.4971 | 850 | 0.2329 | - |
|
| 139 |
+
| 0.5263 | 900 | 0.2328 | - |
|
| 140 |
+
| 0.5556 | 950 | 0.2309 | - |
|
| 141 |
+
| 0.5848 | 1000 | 0.228 | - |
|
| 142 |
+
| 0.6140 | 1050 | 0.2149 | - |
|
| 143 |
+
| 0.6433 | 1100 | 0.2053 | - |
|
| 144 |
+
| 0.6725 | 1150 | 0.1997 | - |
|
| 145 |
+
| 0.7018 | 1200 | 0.1978 | - |
|
| 146 |
+
| 0.7310 | 1250 | 0.1896 | - |
|
| 147 |
+
| 0.7602 | 1300 | 0.1775 | - |
|
| 148 |
+
| 0.7895 | 1350 | 0.1629 | - |
|
| 149 |
+
| 0.8187 | 1400 | 0.1571 | - |
|
| 150 |
+
| 0.8480 | 1450 | 0.1493 | - |
|
| 151 |
+
| 0.8772 | 1500 | 0.1445 | - |
|
| 152 |
+
| 0.9064 | 1550 | 0.1345 | - |
|
| 153 |
+
| 0.9357 | 1600 | 0.1306 | - |
|
| 154 |
+
| 0.9649 | 1650 | 0.1276 | - |
|
| 155 |
+
| 0.9942 | 1700 | 0.1181 | - |
|
| 156 |
+
| 1.0234 | 1750 | 0.1081 | - |
|
| 157 |
+
| 1.0526 | 1800 | 0.1081 | - |
|
| 158 |
+
| 1.0819 | 1850 | 0.1006 | - |
|
| 159 |
+
| 1.1111 | 1900 | 0.0892 | - |
|
| 160 |
+
| 1.1404 | 1950 | 0.0996 | - |
|
| 161 |
+
| 1.1696 | 2000 | 0.0912 | - |
|
| 162 |
+
| 1.1988 | 2050 | 0.0868 | - |
|
| 163 |
+
| 1.2281 | 2100 | 0.089 | - |
|
| 164 |
+
| 1.2573 | 2150 | 0.078 | - |
|
| 165 |
+
| 1.2865 | 2200 | 0.0864 | - |
|
| 166 |
+
| 1.3158 | 2250 | 0.0719 | - |
|
| 167 |
+
| 1.3450 | 2300 | 0.0675 | - |
|
| 168 |
+
| 1.3743 | 2350 | 0.0669 | - |
|
| 169 |
+
| 1.4035 | 2400 | 0.0666 | - |
|
| 170 |
+
| 1.4327 | 2450 | 0.074 | - |
|
| 171 |
+
| 1.4620 | 2500 | 0.0671 | - |
|
| 172 |
+
| 1.4912 | 2550 | 0.0663 | - |
|
| 173 |
+
| 1.5205 | 2600 | 0.0599 | - |
|
| 174 |
+
| 1.5497 | 2650 | 0.0612 | - |
|
| 175 |
+
| 1.5789 | 2700 | 0.056 | - |
|
| 176 |
+
| 1.6082 | 2750 | 0.0575 | - |
|
| 177 |
+
| 1.6374 | 2800 | 0.0553 | - |
|
| 178 |
+
| 1.6667 | 2850 | 0.0611 | - |
|
| 179 |
+
| 1.6959 | 2900 | 0.0535 | - |
|
| 180 |
+
| 1.7251 | 2950 | 0.0558 | - |
|
| 181 |
+
| 1.7544 | 3000 | 0.054 | - |
|
| 182 |
+
| 1.7836 | 3050 | 0.0552 | - |
|
| 183 |
+
| 1.8129 | 3100 | 0.0494 | - |
|
| 184 |
+
| 1.8421 | 3150 | 0.0489 | - |
|
| 185 |
+
| 1.8713 | 3200 | 0.0494 | - |
|
| 186 |
+
| 1.9006 | 3250 | 0.0468 | - |
|
| 187 |
+
| 1.9298 | 3300 | 0.0527 | - |
|
| 188 |
+
| 1.9591 | 3350 | 0.0496 | - |
|
| 189 |
+
| 1.9883 | 3400 | 0.0492 | - |
|
| 190 |
+
| 2.0175 | 3450 | 0.0415 | - |
|
| 191 |
+
| 2.0468 | 3500 | 0.0434 | - |
|
| 192 |
+
| 2.0760 | 3550 | 0.0456 | - |
|
| 193 |
+
| 2.1053 | 3600 | 0.0394 | - |
|
| 194 |
+
| 2.1345 | 3650 | 0.0387 | - |
|
| 195 |
+
| 2.1637 | 3700 | 0.0381 | - |
|
| 196 |
+
| 2.1930 | 3750 | 0.0378 | - |
|
| 197 |
+
| 2.2222 | 3800 | 0.0387 | - |
|
| 198 |
+
| 2.2515 | 3850 | 0.035 | - |
|
| 199 |
+
| 2.2807 | 3900 | 0.0384 | - |
|
| 200 |
+
| 2.3099 | 3950 | 0.0386 | - |
|
| 201 |
+
| 2.3392 | 4000 | 0.0379 | - |
|
| 202 |
+
| 2.3684 | 4050 | 0.0315 | - |
|
| 203 |
+
| 2.3977 | 4100 | 0.0372 | - |
|
| 204 |
+
| 2.4269 | 4150 | 0.0324 | - |
|
| 205 |
+
| 2.4561 | 4200 | 0.0319 | - |
|
| 206 |
+
| 2.4854 | 4250 | 0.0306 | - |
|
| 207 |
+
| 2.5146 | 4300 | 0.0309 | - |
|
| 208 |
+
| 2.5439 | 4350 | 0.0382 | - |
|
| 209 |
+
| 2.5731 | 4400 | 0.0314 | - |
|
| 210 |
+
| 2.6023 | 4450 | 0.0314 | - |
|
| 211 |
+
| 2.6316 | 4500 | 0.0254 | - |
|
| 212 |
+
| 2.6608 | 4550 | 0.0257 | - |
|
| 213 |
+
| 2.6901 | 4600 | 0.0325 | - |
|
| 214 |
+
| 2.7193 | 4650 | 0.0249 | - |
|
| 215 |
+
| 2.7485 | 4700 | 0.026 | - |
|
| 216 |
+
| 2.7778 | 4750 | 0.0298 | - |
|
| 217 |
+
| 2.8070 | 4800 | 0.0253 | - |
|
| 218 |
+
| 2.8363 | 4850 | 0.0306 | - |
|
| 219 |
+
| 2.8655 | 4900 | 0.0285 | - |
|
| 220 |
+
| 2.8947 | 4950 | 0.0273 | - |
|
| 221 |
+
| 2.9240 | 5000 | 0.029 | - |
|
| 222 |
+
| 2.9532 | 5050 | 0.0238 | - |
|
| 223 |
+
| 2.9825 | 5100 | 0.0287 | - |
|
| 224 |
+
| 3.0117 | 5150 | 0.0267 | - |
|
| 225 |
+
| 3.0409 | 5200 | 0.0259 | - |
|
| 226 |
+
| 3.0702 | 5250 | 0.0232 | - |
|
| 227 |
+
| 3.0994 | 5300 | 0.0269 | - |
|
| 228 |
+
| 3.1287 | 5350 | 0.0239 | - |
|
| 229 |
+
| 3.1579 | 5400 | 0.0268 | - |
|
| 230 |
+
| 3.1871 | 5450 | 0.0242 | - |
|
| 231 |
+
| 3.2164 | 5500 | 0.0264 | - |
|
| 232 |
+
| 3.2456 | 5550 | 0.0217 | - |
|
| 233 |
+
| 3.2749 | 5600 | 0.026 | - |
|
| 234 |
+
| 3.3041 | 5650 | 0.0248 | - |
|
| 235 |
+
| 3.3333 | 5700 | 0.0242 | - |
|
| 236 |
+
| 3.3626 | 5750 | 0.0239 | - |
|
| 237 |
+
| 3.3918 | 5800 | 0.0229 | - |
|
| 238 |
+
| 3.4211 | 5850 | 0.0205 | - |
|
| 239 |
+
| 3.4503 | 5900 | 0.0252 | - |
|
| 240 |
+
| 3.4795 | 5950 | 0.0208 | - |
|
| 241 |
+
| 3.5088 | 6000 | 0.024 | - |
|
| 242 |
+
| 3.5380 | 6050 | 0.025 | - |
|
| 243 |
+
| 3.5673 | 6100 | 0.0235 | - |
|
| 244 |
+
| 3.5965 | 6150 | 0.0228 | - |
|
| 245 |
+
| 3.6257 | 6200 | 0.0213 | - |
|
| 246 |
+
| 3.6550 | 6250 | 0.024 | - |
|
| 247 |
+
| 3.6842 | 6300 | 0.021 | - |
|
| 248 |
+
| 3.7135 | 6350 | 0.0236 | - |
|
| 249 |
+
| 3.7427 | 6400 | 0.0213 | - |
|
| 250 |
+
| 3.7719 | 6450 | 0.0188 | - |
|
| 251 |
+
| 3.8012 | 6500 | 0.0239 | - |
|
| 252 |
+
| 3.8304 | 6550 | 0.0244 | - |
|
| 253 |
+
| 3.8596 | 6600 | 0.0228 | - |
|
| 254 |
+
| 3.8889 | 6650 | 0.0219 | - |
|
| 255 |
+
| 3.9181 | 6700 | 0.0251 | - |
|
| 256 |
+
| 3.9474 | 6750 | 0.02 | - |
|
| 257 |
+
| 3.9766 | 6800 | 0.0209 | - |
|
| 258 |
+
| 4.0058 | 6850 | 0.0204 | - |
|
| 259 |
+
| 4.0351 | 6900 | 0.022 | - |
|
| 260 |
+
| 4.0643 | 6950 | 0.0197 | - |
|
| 261 |
+
| 4.0936 | 7000 | 0.019 | - |
|
| 262 |
+
| 4.1228 | 7050 | 0.0212 | - |
|
| 263 |
+
| 4.1520 | 7100 | 0.0201 | - |
|
| 264 |
+
| 4.1813 | 7150 | 0.021 | - |
|
| 265 |
+
| 4.2105 | 7200 | 0.0219 | - |
|
| 266 |
+
| 4.2398 | 7250 | 0.0223 | - |
|
| 267 |
+
| 4.2690 | 7300 | 0.0236 | - |
|
| 268 |
+
| 4.2982 | 7350 | 0.0206 | - |
|
| 269 |
+
| 4.3275 | 7400 | 0.02 | - |
|
| 270 |
+
| 4.3567 | 7450 | 0.0223 | - |
|
| 271 |
+
| 4.3860 | 7500 | 0.0212 | - |
|
| 272 |
+
| 4.4152 | 7550 | 0.0205 | - |
|
| 273 |
+
| 4.4444 | 7600 | 0.0212 | - |
|
| 274 |
+
| 4.4737 | 7650 | 0.0189 | - |
|
| 275 |
+
| 4.5029 | 7700 | 0.0213 | - |
|
| 276 |
+
| 4.5322 | 7750 | 0.021 | - |
|
| 277 |
+
| 4.5614 | 7800 | 0.0212 | - |
|
| 278 |
+
| 4.5906 | 7850 | 0.0196 | - |
|
| 279 |
+
| 4.6199 | 7900 | 0.0187 | - |
|
| 280 |
+
| 4.6491 | 7950 | 0.0185 | - |
|
| 281 |
+
| 4.6784 | 8000 | 0.017 | - |
|
| 282 |
+
| 4.7076 | 8050 | 0.0211 | - |
|
| 283 |
+
| 4.7368 | 8100 | 0.0177 | - |
|
| 284 |
+
| 4.7661 | 8150 | 0.0208 | - |
|
| 285 |
+
| 4.7953 | 8200 | 0.0235 | - |
|
| 286 |
+
| 4.8246 | 8250 | 0.0196 | - |
|
| 287 |
+
| 4.8538 | 8300 | 0.0193 | - |
|
| 288 |
+
| 4.8830 | 8350 | 0.0185 | - |
|
| 289 |
+
| 4.9123 | 8400 | 0.022 | - |
|
| 290 |
+
| 4.9415 | 8450 | 0.0196 | - |
|
| 291 |
+
| 4.9708 | 8500 | 0.0196 | - |
|
| 292 |
+
| 5.0 | 8550 | 0.0227 | - |
|
| 293 |
+
| 5.0292 | 8600 | 0.0188 | - |
|
| 294 |
+
| 5.0585 | 8650 | 0.0183 | - |
|
| 295 |
+
| 5.0877 | 8700 | 0.0192 | - |
|
| 296 |
+
| 5.1170 | 8750 | 0.0219 | - |
|
| 297 |
+
| 5.1462 | 8800 | 0.0181 | - |
|
| 298 |
+
| 5.1754 | 8850 | 0.0173 | - |
|
| 299 |
+
| 5.2047 | 8900 | 0.0178 | - |
|
| 300 |
+
| 5.2339 | 8950 | 0.0183 | - |
|
| 301 |
+
| 5.2632 | 9000 | 0.0199 | - |
|
| 302 |
+
| 5.2924 | 9050 | 0.0194 | - |
|
| 303 |
+
| 5.3216 | 9100 | 0.0219 | - |
|
| 304 |
+
| 5.3509 | 9150 | 0.0218 | - |
|
| 305 |
+
| 5.3801 | 9200 | 0.0186 | - |
|
| 306 |
+
| 5.4094 | 9250 | 0.0202 | - |
|
| 307 |
+
| 5.4386 | 9300 | 0.0195 | - |
|
| 308 |
+
| 5.4678 | 9350 | 0.0181 | - |
|
| 309 |
+
| 5.4971 | 9400 | 0.0197 | - |
|
| 310 |
+
| 5.5263 | 9450 | 0.0176 | - |
|
| 311 |
+
| 5.5556 | 9500 | 0.0181 | - |
|
| 312 |
+
| 5.5848 | 9550 | 0.0193 | - |
|
| 313 |
+
| 5.6140 | 9600 | 0.0183 | - |
|
| 314 |
+
| 5.6433 | 9650 | 0.0206 | - |
|
| 315 |
+
| 5.6725 | 9700 | 0.0191 | - |
|
| 316 |
+
| 5.7018 | 9750 | 0.0179 | - |
|
| 317 |
+
| 5.7310 | 9800 | 0.0192 | - |
|
| 318 |
+
| 5.7602 | 9850 | 0.0184 | - |
|
| 319 |
+
| 5.7895 | 9900 | 0.0194 | - |
|
| 320 |
+
| 5.8187 | 9950 | 0.0186 | - |
|
| 321 |
+
| 5.8480 | 10000 | 0.0193 | - |
|
| 322 |
+
| 5.8772 | 10050 | 0.0176 | - |
|
| 323 |
+
| 5.9064 | 10100 | 0.0187 | - |
|
| 324 |
+
| 5.9357 | 10150 | 0.0193 | - |
|
| 325 |
+
| 5.9649 | 10200 | 0.0199 | - |
|
| 326 |
+
| 5.9942 | 10250 | 0.0169 | - |
|
| 327 |
+
| 6.0234 | 10300 | 0.017 | - |
|
| 328 |
+
| 6.0526 | 10350 | 0.0207 | - |
|
| 329 |
+
| 6.0819 | 10400 | 0.0188 | - |
|
| 330 |
+
| 6.1111 | 10450 | 0.018 | - |
|
| 331 |
+
| 6.1404 | 10500 | 0.0184 | - |
|
| 332 |
+
| 6.1696 | 10550 | 0.0153 | - |
|
| 333 |
+
| 6.1988 | 10600 | 0.0173 | - |
|
| 334 |
+
| 6.2281 | 10650 | 0.0172 | - |
|
| 335 |
+
| 6.2573 | 10700 | 0.0188 | - |
|
| 336 |
+
| 6.2865 | 10750 | 0.02 | - |
|
| 337 |
+
| 6.3158 | 10800 | 0.0193 | - |
|
| 338 |
+
| 6.3450 | 10850 | 0.0188 | - |
|
| 339 |
+
| 6.3743 | 10900 | 0.0183 | - |
|
| 340 |
+
| 6.4035 | 10950 | 0.0185 | - |
|
| 341 |
+
| 6.4327 | 11000 | 0.0203 | - |
|
| 342 |
+
| 6.4620 | 11050 | 0.018 | - |
|
| 343 |
+
| 6.4912 | 11100 | 0.0184 | - |
|
| 344 |
+
| 6.5205 | 11150 | 0.0182 | - |
|
| 345 |
+
| 6.5497 | 11200 | 0.0173 | - |
|
| 346 |
+
| 6.5789 | 11250 | 0.0173 | - |
|
| 347 |
+
| 6.6082 | 11300 | 0.0189 | - |
|
| 348 |
+
| 6.6374 | 11350 | 0.0167 | - |
|
| 349 |
+
| 6.6667 | 11400 | 0.0169 | - |
|
| 350 |
+
| 6.6959 | 11450 | 0.0171 | - |
|
| 351 |
+
| 6.7251 | 11500 | 0.0174 | - |
|
| 352 |
+
| 6.7544 | 11550 | 0.0169 | - |
|
| 353 |
+
| 6.7836 | 11600 | 0.0193 | - |
|
| 354 |
+
| 6.8129 | 11650 | 0.0184 | - |
|
| 355 |
+
| 6.8421 | 11700 | 0.0175 | - |
|
| 356 |
+
| 6.8713 | 11750 | 0.0173 | - |
|
| 357 |
+
| 6.9006 | 11800 | 0.0146 | - |
|
| 358 |
+
| 6.9298 | 11850 | 0.0163 | - |
|
| 359 |
+
| 6.9591 | 11900 | 0.0173 | - |
|
| 360 |
+
| 6.9883 | 11950 | 0.0196 | - |
|
| 361 |
+
| 7.0175 | 12000 | 0.0188 | - |
|
| 362 |
+
| 7.0468 | 12050 | 0.0182 | - |
|
| 363 |
+
| 7.0760 | 12100 | 0.0168 | - |
|
| 364 |
+
| 7.1053 | 12150 | 0.0169 | - |
|
| 365 |
+
| 7.1345 | 12200 | 0.0164 | - |
|
| 366 |
+
| 7.1637 | 12250 | 0.0159 | - |
|
| 367 |
+
| 7.1930 | 12300 | 0.0187 | - |
|
| 368 |
+
| 7.2222 | 12350 | 0.0197 | - |
|
| 369 |
+
| 7.2515 | 12400 | 0.0186 | - |
|
| 370 |
+
| 7.2807 | 12450 | 0.0163 | - |
|
| 371 |
+
| 7.3099 | 12500 | 0.0178 | - |
|
| 372 |
+
| 7.3392 | 12550 | 0.0184 | - |
|
| 373 |
+
| 7.3684 | 12600 | 0.0184 | - |
|
| 374 |
+
| 7.3977 | 12650 | 0.0177 | - |
|
| 375 |
+
| 7.4269 | 12700 | 0.0157 | - |
|
| 376 |
+
| 7.4561 | 12750 | 0.0184 | - |
|
| 377 |
+
| 7.4854 | 12800 | 0.0184 | - |
|
| 378 |
+
| 7.5146 | 12850 | 0.0182 | - |
|
| 379 |
+
| 7.5439 | 12900 | 0.0182 | - |
|
| 380 |
+
| 7.5731 | 12950 | 0.0169 | - |
|
| 381 |
+
| 7.6023 | 13000 | 0.0182 | - |
|
| 382 |
+
| 7.6316 | 13050 | 0.0156 | - |
|
| 383 |
+
| 7.6608 | 13100 | 0.0173 | - |
|
| 384 |
+
| 7.6901 | 13150 | 0.0159 | - |
|
| 385 |
+
| 7.7193 | 13200 | 0.0167 | - |
|
| 386 |
+
| 7.7485 | 13250 | 0.0175 | - |
|
| 387 |
+
| 7.7778 | 13300 | 0.016 | - |
|
| 388 |
+
| 7.8070 | 13350 | 0.0175 | - |
|
| 389 |
+
| 7.8363 | 13400 | 0.0169 | - |
|
| 390 |
+
| 7.8655 | 13450 | 0.0167 | - |
|
| 391 |
+
| 7.8947 | 13500 | 0.0159 | - |
|
| 392 |
+
| 7.9240 | 13550 | 0.0168 | - |
|
| 393 |
+
| 7.9532 | 13600 | 0.0183 | - |
|
| 394 |
+
| 7.9825 | 13650 | 0.0162 | - |
|
| 395 |
+
| 8.0117 | 13700 | 0.0162 | - |
|
| 396 |
+
| 8.0409 | 13750 | 0.017 | - |
|
| 397 |
+
| 8.0702 | 13800 | 0.018 | - |
|
| 398 |
+
| 8.0994 | 13850 | 0.0161 | - |
|
| 399 |
+
| 8.1287 | 13900 | 0.0159 | - |
|
| 400 |
+
| 8.1579 | 13950 | 0.0185 | - |
|
| 401 |
+
| 8.1871 | 14000 | 0.017 | - |
|
| 402 |
+
| 8.2164 | 14050 | 0.0167 | - |
|
| 403 |
+
| 8.2456 | 14100 | 0.0154 | - |
|
| 404 |
+
| 8.2749 | 14150 | 0.0166 | - |
|
| 405 |
+
| 8.3041 | 14200 | 0.0173 | - |
|
| 406 |
+
| 8.3333 | 14250 | 0.0156 | - |
|
| 407 |
+
| 8.3626 | 14300 | 0.0175 | - |
|
| 408 |
+
| 8.3918 | 14350 | 0.0144 | - |
|
| 409 |
+
| 8.4211 | 14400 | 0.0198 | - |
|
| 410 |
+
| 8.4503 | 14450 | 0.0184 | - |
|
| 411 |
+
| 8.4795 | 14500 | 0.0168 | - |
|
| 412 |
+
| 8.5088 | 14550 | 0.0183 | - |
|
| 413 |
+
| 8.5380 | 14600 | 0.0175 | - |
|
| 414 |
+
| 8.5673 | 14650 | 0.0155 | - |
|
| 415 |
+
| 8.5965 | 14700 | 0.0168 | - |
|
| 416 |
+
| 8.6257 | 14750 | 0.0179 | - |
|
| 417 |
+
| 8.6550 | 14800 | 0.0162 | - |
|
| 418 |
+
| 8.6842 | 14850 | 0.0181 | - |
|
| 419 |
+
| 8.7135 | 14900 | 0.017 | - |
|
| 420 |
+
| 8.7427 | 14950 | 0.0169 | - |
|
| 421 |
+
| 8.7719 | 15000 | 0.0177 | - |
|
| 422 |
+
| 8.8012 | 15050 | 0.0174 | - |
|
| 423 |
+
| 8.8304 | 15100 | 0.015 | - |
|
| 424 |
+
| 8.8596 | 15150 | 0.0159 | - |
|
| 425 |
+
| 8.8889 | 15200 | 0.0191 | - |
|
| 426 |
+
| 8.9181 | 15250 | 0.0168 | - |
|
| 427 |
+
| 8.9474 | 15300 | 0.0147 | - |
|
| 428 |
+
| 8.9766 | 15350 | 0.0166 | - |
|
| 429 |
+
| 9.0058 | 15400 | 0.0163 | - |
|
| 430 |
+
| 9.0351 | 15450 | 0.0156 | - |
|
| 431 |
+
| 9.0643 | 15500 | 0.0171 | - |
|
| 432 |
+
| 9.0936 | 15550 | 0.0168 | - |
|
| 433 |
+
| 9.1228 | 15600 | 0.0174 | - |
|
| 434 |
+
| 9.1520 | 15650 | 0.0152 | - |
|
| 435 |
+
| 9.1813 | 15700 | 0.017 | - |
|
| 436 |
+
| 9.2105 | 15750 | 0.0172 | - |
|
| 437 |
+
| 9.2398 | 15800 | 0.0149 | - |
|
| 438 |
+
| 9.2690 | 15850 | 0.0172 | - |
|
| 439 |
+
| 9.2982 | 15900 | 0.0161 | - |
|
| 440 |
+
| 9.3275 | 15950 | 0.0174 | - |
|
| 441 |
+
| 9.3567 | 16000 | 0.0181 | - |
|
| 442 |
+
| 9.3860 | 16050 | 0.0167 | - |
|
| 443 |
+
| 9.4152 | 16100 | 0.0159 | - |
|
| 444 |
+
| 9.4444 | 16150 | 0.0157 | - |
|
| 445 |
+
| 9.4737 | 16200 | 0.0174 | - |
|
| 446 |
+
| 9.5029 | 16250 | 0.0155 | - |
|
| 447 |
+
| 9.5322 | 16300 | 0.0158 | - |
|
| 448 |
+
| 9.5614 | 16350 | 0.0164 | - |
|
| 449 |
+
| 9.5906 | 16400 | 0.0165 | - |
|
| 450 |
+
| 9.6199 | 16450 | 0.0164 | - |
|
| 451 |
+
| 9.6491 | 16500 | 0.0155 | - |
|
| 452 |
+
| 9.6784 | 16550 | 0.0164 | - |
|
| 453 |
+
| 9.7076 | 16600 | 0.016 | - |
|
| 454 |
+
| 9.7368 | 16650 | 0.0154 | - |
|
| 455 |
+
| 9.7661 | 16700 | 0.0171 | - |
|
| 456 |
+
| 9.7953 | 16750 | 0.0173 | - |
|
| 457 |
+
| 9.8246 | 16800 | 0.0158 | - |
|
| 458 |
+
| 9.8538 | 16850 | 0.0169 | - |
|
| 459 |
+
| 9.8830 | 16900 | 0.0163 | - |
|
| 460 |
+
| 9.9123 | 16950 | 0.0177 | - |
|
| 461 |
+
| 9.9415 | 17000 | 0.0167 | - |
|
| 462 |
+
| 9.9708 | 17050 | 0.0172 | - |
|
| 463 |
+
| 10.0 | 17100 | 0.0172 | - |
|
| 464 |
+
|
| 465 |
+
### Framework Versions
|
| 466 |
+
- Python: 3.10.8
|
| 467 |
+
- SetFit: 1.1.2
|
| 468 |
+
- Sentence Transformers: 5.0.0
|
| 469 |
+
- Transformers: 4.54.1
|
| 470 |
+
- PyTorch: 2.7.1+cu126
|
| 471 |
+
- Datasets: 3.6.0
|
| 472 |
+
- Tokenizers: 0.21.4
|
| 473 |
+
|
| 474 |
+
## Citation
|
| 475 |
+
|
| 476 |
+
### BibTeX
|
| 477 |
+
```bibtex
|
| 478 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
| 479 |
+
doi = {10.48550/ARXIV.2209.11055},
|
| 480 |
+
url = {https://arxiv.org/abs/2209.11055},
|
| 481 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
| 482 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
| 483 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
| 484 |
+
publisher = {arXiv},
|
| 485 |
+
year = {2022},
|
| 486 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
| 487 |
+
}
|
| 488 |
+
```
|
| 489 |
+
|
| 490 |
+
<!--
|
| 491 |
+
## Glossary
|
| 492 |
+
|
| 493 |
+
*Clearly define terms in order to be accessible across audiences.*
|
| 494 |
+
-->
|
| 495 |
+
|
| 496 |
+
<!--
|
| 497 |
+
## Model Card Authors
|
| 498 |
+
|
| 499 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
| 500 |
+
-->
|
| 501 |
+
|
| 502 |
+
<!--
|
| 503 |
+
## Model Card Contact
|
| 504 |
+
|
| 505 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
| 506 |
+
-->
|
config.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 384,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 1536,
|
| 13 |
+
"layer_norm_eps": 1e-12,
|
| 14 |
+
"max_position_embeddings": 512,
|
| 15 |
+
"model_type": "bert",
|
| 16 |
+
"num_attention_heads": 12,
|
| 17 |
+
"num_hidden_layers": 6,
|
| 18 |
+
"pad_token_id": 0,
|
| 19 |
+
"position_embedding_type": "absolute",
|
| 20 |
+
"torch_dtype": "float32",
|
| 21 |
+
"transformers_version": "4.54.1",
|
| 22 |
+
"type_vocab_size": 2,
|
| 23 |
+
"use_cache": true,
|
| 24 |
+
"vocab_size": 30522
|
| 25 |
+
}
|
config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "5.0.0",
|
| 4 |
+
"transformers": "4.54.1",
|
| 5 |
+
"pytorch": "2.7.1+cu126"
|
| 6 |
+
},
|
| 7 |
+
"model_type": "SentenceTransformer",
|
| 8 |
+
"prompts": {
|
| 9 |
+
"query": "",
|
| 10 |
+
"document": ""
|
| 11 |
+
},
|
| 12 |
+
"default_prompt_name": null,
|
| 13 |
+
"similarity_fn_name": "cosine"
|
| 14 |
+
}
|
config_setfit.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"labels": null,
|
| 3 |
+
"normalize_embeddings": false
|
| 4 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5052f07e64a2b914783cb2722a93e76212e3eb45b8deb0967e7d01d067edbbca
|
| 3 |
+
size 90864192
|
model_head.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fad1256d65ecb9b2fe102f9e908ab41e9a02f86e17cc54b70701d1f1ec1d4f2e
|
| 3 |
+
size 18017
|
modules.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 128,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 128,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|