Add SetFit model
Browse files- README.md +289 -284
- config.json +1 -1
- config_setfit.json +2 -2
- model.safetensors +1 -1
- model_head.pkl +1 -1
README.md
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@@ -9,11 +9,15 @@ base_model: sentence-transformers/all-MiniLM-L12-v2
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metrics:
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- accuracy
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widget:
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- text:
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- text: Compare ces deux documents
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pipeline_tag: text-classification
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inference: true
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model-index:
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split: test
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metrics:
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- type: accuracy
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value: 0.
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name: Accuracy
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---
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@@ -60,20 +64,20 @@ The model has been trained using an efficient few-shot learning technique that i
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples
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| sub_queries | <ul><li>'
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| exchange | <ul><li>'
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.
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## Uses
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@@ -125,7 +129,7 @@ preds = model("Compare ces deux documents")
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:--------|:----|
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| Word count |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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@@ -150,276 +154,277 @@ preds = model("Compare ces deux documents")
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- load_best_model_at_end: True
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### Training Results
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* The bold row denotes the saved checkpoint.
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### Framework Versions
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metrics:
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- accuracy
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widget:
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- text: Quel est le principal litige dans les projets de construction, et quel droit
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de la partie accusee
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- text: Clarifier quels sont les facteurs déterminants dans le choix d'un emplacement
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pour un nouveau magasin
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- text: Compare ces deux documents
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- text: Can you explain the process of wind energy generation and discuss its environmental
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impacts compared to those of hydroelectric power?
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- text: Could you restate the advantages of using project management software that
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were mentioned earlier? Provide a linkedin post about it
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pipeline_tag: text-classification
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inference: true
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model-index:
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split: test
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metrics:
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- type: accuracy
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value: 0.9333333333333333
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name: Accuracy
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---
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples |
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|:-----------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| sub_queries | <ul><li>'Could you break down the main factors I should consider when researching market prices and how to effectively communicate our needs to the supplier during negotiations?'</li><li>'Comment faire pousser une plante et le mesurer ?'</li><li>"Quel est le meilleur matériau pour l'isolation phonique et thermique?"</li></ul> |
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| simple_questions | <ul><li>'What are the key strategies for maintaining efficient communication in a remote work environment?'</li><li>'Could you summarize the ways a person can help in adapting to climate change ?'</li><li>'What are the current trends in construction?'</li></ul> |
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| exchange | <ul><li>'Could you please restate your last explanation using simpler terms?'</li><li>'Could you restate the impact of augmented reality on design practices?'</li><li>'Pourriez-vous me donner un résumé des principaux points abordés dans notre conversation précédente ?'</li></ul> |
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| compare | <ul><li>'How do the conclusions differ?'</li><li>'Contrast the main arguments presented in each paper'</li><li>'Quelles sont les principales différences dans les programmes éducatifs décrits dans ces documents ?'</li></ul> |
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| summary | <ul><li>'Que dois-je retenir de ce doc ?'</li><li>'What are the key assertions made within the text'</li><li>'What are the most important argument stated in the document?'</li></ul> |
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.9333 |
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## Uses
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:--------|:----|
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| Word count | 4 | 13.4389 | 48 |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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- load_best_model_at_end: True
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:-------:|:---------:|:-------------:|:---------------:|
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| 0.0003 | 1 | 0.4073 | - |
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| 0.0151 | 50 | 0.3054 | - |
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| 0.0303 | 100 | 0.2066 | - |
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| 0.0454 | 150 | 0.2664 | - |
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| 0.0606 | 200 | 0.2463 | - |
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| 0.0757 | 250 | 0.214 | - |
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| 0.0909 | 300 | 0.1892 | - |
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| 0.1060 | 350 | 0.1402 | - |
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| 0.8179 | 2700 | 0.0002 | - |
|
| 214 |
+
| 0.8331 | 2750 | 0.0007 | - |
|
| 215 |
+
| 0.8482 | 2800 | 0.0001 | - |
|
| 216 |
+
| 0.8634 | 2850 | 0.0001 | - |
|
| 217 |
+
| 0.8785 | 2900 | 0.0001 | - |
|
| 218 |
+
| 0.8937 | 2950 | 0.0001 | - |
|
| 219 |
+
| 0.9088 | 3000 | 0.0001 | - |
|
| 220 |
+
| 0.9240 | 3050 | 0.0002 | - |
|
| 221 |
+
| 0.9391 | 3100 | 0.0001 | - |
|
| 222 |
+
| 0.9543 | 3150 | 0.0001 | - |
|
| 223 |
+
| 0.9694 | 3200 | 0.0001 | - |
|
| 224 |
+
| 0.9846 | 3250 | 0.0001 | - |
|
| 225 |
+
| 0.9997 | 3300 | 0.0002 | - |
|
| 226 |
+
| 1.0 | 3301 | - | 0.0001 |
|
| 227 |
+
| 1.0148 | 3350 | 0.0003 | - |
|
| 228 |
+
| 1.0300 | 3400 | 0.0002 | - |
|
| 229 |
+
| 1.0451 | 3450 | 0.0001 | - |
|
| 230 |
+
| 1.0603 | 3500 | 0.0001 | - |
|
| 231 |
+
| 1.0754 | 3550 | 0.0001 | - |
|
| 232 |
+
| 1.0906 | 3600 | 0.0001 | - |
|
| 233 |
+
| 1.1057 | 3650 | 0.0001 | - |
|
| 234 |
+
| 1.1209 | 3700 | 0.0002 | - |
|
| 235 |
+
| 1.1360 | 3750 | 0.0001 | - |
|
| 236 |
+
| 1.1512 | 3800 | 0.0001 | - |
|
| 237 |
+
| 1.1663 | 3850 | 0.0001 | - |
|
| 238 |
+
| 1.1815 | 3900 | 0.0001 | - |
|
| 239 |
+
| 1.1966 | 3950 | 0.001 | - |
|
| 240 |
+
| 1.2118 | 4000 | 0.0001 | - |
|
| 241 |
+
| 1.2269 | 4050 | 0.0001 | - |
|
| 242 |
+
| 1.2420 | 4100 | 0.0001 | - |
|
| 243 |
+
| 1.2572 | 4150 | 0.0001 | - |
|
| 244 |
+
| 1.2723 | 4200 | 0.0001 | - |
|
| 245 |
+
| 1.2875 | 4250 | 0.0001 | - |
|
| 246 |
+
| 1.3026 | 4300 | 0.0001 | - |
|
| 247 |
+
| 1.3178 | 4350 | 0.0 | - |
|
| 248 |
+
| 1.3329 | 4400 | 0.0001 | - |
|
| 249 |
+
| 1.3481 | 4450 | 0.0001 | - |
|
| 250 |
+
| 1.3632 | 4500 | 0.0001 | - |
|
| 251 |
+
| 1.3784 | 4550 | 0.0001 | - |
|
| 252 |
+
| 1.3935 | 4600 | 0.0001 | - |
|
| 253 |
+
| 1.4087 | 4650 | 0.0001 | - |
|
| 254 |
+
| 1.4238 | 4700 | 0.0001 | - |
|
| 255 |
+
| 1.4390 | 4750 | 0.0001 | - |
|
| 256 |
+
| 1.4541 | 4800 | 0.0 | - |
|
| 257 |
+
| 1.4693 | 4850 | 0.0 | - |
|
| 258 |
+
| 1.4844 | 4900 | 0.0001 | - |
|
| 259 |
+
| 1.4995 | 4950 | 0.0001 | - |
|
| 260 |
+
| 1.5147 | 5000 | 0.0001 | - |
|
| 261 |
+
| 1.5298 | 5050 | 0.0001 | - |
|
| 262 |
+
| 1.5450 | 5100 | 0.0 | - |
|
| 263 |
+
| 1.5601 | 5150 | 0.0001 | - |
|
| 264 |
+
| 1.5753 | 5200 | 0.0 | - |
|
| 265 |
+
| 1.5904 | 5250 | 0.0 | - |
|
| 266 |
+
| 1.6056 | 5300 | 0.0001 | - |
|
| 267 |
+
| 1.6207 | 5350 | 0.0 | - |
|
| 268 |
+
| 1.6359 | 5400 | 0.0001 | - |
|
| 269 |
+
| 1.6510 | 5450 | 0.0 | - |
|
| 270 |
+
| 1.6662 | 5500 | 0.0001 | - |
|
| 271 |
+
| 1.6813 | 5550 | 0.0001 | - |
|
| 272 |
+
| 1.6965 | 5600 | 0.0 | - |
|
| 273 |
+
| 1.7116 | 5650 | 0.0 | - |
|
| 274 |
+
| 1.7267 | 5700 | 0.0 | - |
|
| 275 |
+
| 1.7419 | 5750 | 0.0001 | - |
|
| 276 |
+
| 1.7570 | 5800 | 0.0001 | - |
|
| 277 |
+
| 1.7722 | 5850 | 0.0 | - |
|
| 278 |
+
| 1.7873 | 5900 | 0.0 | - |
|
| 279 |
+
| 1.8025 | 5950 | 0.0001 | - |
|
| 280 |
+
| 1.8176 | 6000 | 0.0002 | - |
|
| 281 |
+
| 1.8328 | 6050 | 0.0 | - |
|
| 282 |
+
| 1.8479 | 6100 | 0.0001 | - |
|
| 283 |
+
| 1.8631 | 6150 | 0.0001 | - |
|
| 284 |
+
| 1.8782 | 6200 | 0.0001 | - |
|
| 285 |
+
| 1.8934 | 6250 | 0.0 | - |
|
| 286 |
+
| 1.9085 | 6300 | 0.0001 | - |
|
| 287 |
+
| 1.9237 | 6350 | 0.0 | - |
|
| 288 |
+
| 1.9388 | 6400 | 0.0001 | - |
|
| 289 |
+
| 1.9540 | 6450 | 0.0001 | - |
|
| 290 |
+
| 1.9691 | 6500 | 0.0 | - |
|
| 291 |
+
| 1.9842 | 6550 | 0.0 | - |
|
| 292 |
+
| 1.9994 | 6600 | 0.0 | - |
|
| 293 |
+
| 2.0 | 6602 | - | 0.0 |
|
| 294 |
+
| 2.0145 | 6650 | 0.0 | - |
|
| 295 |
+
| 2.0297 | 6700 | 0.0 | - |
|
| 296 |
+
| 2.0448 | 6750 | 0.0 | - |
|
| 297 |
+
| 2.0600 | 6800 | 0.0 | - |
|
| 298 |
+
| 2.0751 | 6850 | 0.0 | - |
|
| 299 |
+
| 2.0903 | 6900 | 0.0001 | - |
|
| 300 |
+
| 2.1054 | 6950 | 0.0 | - |
|
| 301 |
+
| 2.1206 | 7000 | 0.0 | - |
|
| 302 |
+
| 2.1357 | 7050 | 0.0 | - |
|
| 303 |
+
| 2.1509 | 7100 | 0.0001 | - |
|
| 304 |
+
| 2.1660 | 7150 | 0.0 | - |
|
| 305 |
+
| 2.1812 | 7200 | 0.0 | - |
|
| 306 |
+
| 2.1963 | 7250 | 0.0 | - |
|
| 307 |
+
| 2.2115 | 7300 | 0.0 | - |
|
| 308 |
+
| 2.2266 | 7350 | 0.0001 | - |
|
| 309 |
+
| 2.2417 | 7400 | 0.0 | - |
|
| 310 |
+
| 2.2569 | 7450 | 0.0 | - |
|
| 311 |
+
| 2.2720 | 7500 | 0.0001 | - |
|
| 312 |
+
| 2.2872 | 7550 | 0.0001 | - |
|
| 313 |
+
| 2.3023 | 7600 | 0.0 | - |
|
| 314 |
+
| 2.3175 | 7650 | 0.0 | - |
|
| 315 |
+
| 2.3326 | 7700 | 0.0 | - |
|
| 316 |
+
| 2.3478 | 7750 | 0.0 | - |
|
| 317 |
+
| 2.3629 | 7800 | 0.0 | - |
|
| 318 |
+
| 2.3781 | 7850 | 0.0 | - |
|
| 319 |
+
| 2.3932 | 7900 | 0.0 | - |
|
| 320 |
+
| 2.4084 | 7950 | 0.0 | - |
|
| 321 |
+
| 2.4235 | 8000 | 0.0 | - |
|
| 322 |
+
| 2.4387 | 8050 | 0.0 | - |
|
| 323 |
+
| 2.4538 | 8100 | 0.0001 | - |
|
| 324 |
+
| 2.4689 | 8150 | 0.0 | - |
|
| 325 |
+
| 2.4841 | 8200 | 0.0001 | - |
|
| 326 |
+
| 2.4992 | 8250 | 0.0 | - |
|
| 327 |
+
| 2.5144 | 8300 | 0.0 | - |
|
| 328 |
+
| 2.5295 | 8350 | 0.0001 | - |
|
| 329 |
+
| 2.5447 | 8400 | 0.0 | - |
|
| 330 |
+
| 2.5598 | 8450 | 0.0 | - |
|
| 331 |
+
| 2.5750 | 8500 | 0.0 | - |
|
| 332 |
+
| 2.5901 | 8550 | 0.0001 | - |
|
| 333 |
+
| 2.6053 | 8600 | 0.0001 | - |
|
| 334 |
+
| 2.6204 | 8650 | 0.0 | - |
|
| 335 |
+
| 2.6356 | 8700 | 0.0 | - |
|
| 336 |
+
| 2.6507 | 8750 | 0.0 | - |
|
| 337 |
+
| 2.6659 | 8800 | 0.0 | - |
|
| 338 |
+
| 2.6810 | 8850 | 0.0 | - |
|
| 339 |
+
| 2.6962 | 8900 | 0.0 | - |
|
| 340 |
+
| 2.7113 | 8950 | 0.0 | - |
|
| 341 |
+
| 2.7264 | 9000 | 0.0 | - |
|
| 342 |
+
| 2.7416 | 9050 | 0.0001 | - |
|
| 343 |
+
| 2.7567 | 9100 | 0.0001 | - |
|
| 344 |
+
| 2.7719 | 9150 | 0.0 | - |
|
| 345 |
+
| 2.7870 | 9200 | 0.0001 | - |
|
| 346 |
+
| 2.8022 | 9250 | 0.0 | - |
|
| 347 |
+
| 2.8173 | 9300 | 0.0 | - |
|
| 348 |
+
| 2.8325 | 9350 | 0.0 | - |
|
| 349 |
+
| 2.8476 | 9400 | 0.0 | - |
|
| 350 |
+
| 2.8628 | 9450 | 0.0 | - |
|
| 351 |
+
| 2.8779 | 9500 | 0.0 | - |
|
| 352 |
+
| 2.8931 | 9550 | 0.0 | - |
|
| 353 |
+
| 2.9082 | 9600 | 0.0 | - |
|
| 354 |
+
| 2.9234 | 9650 | 0.0 | - |
|
| 355 |
+
| 2.9385 | 9700 | 0.0 | - |
|
| 356 |
+
| 2.9537 | 9750 | 0.0 | - |
|
| 357 |
+
| 2.9688 | 9800 | 0.0 | - |
|
| 358 |
+
| 2.9839 | 9850 | 0.0 | - |
|
| 359 |
+
| 2.9991 | 9900 | 0.0 | - |
|
| 360 |
+
| 3.0 | 9903 | - | 0.0 |
|
| 361 |
+
| 3.0142 | 9950 | 0.0 | - |
|
| 362 |
+
| 3.0294 | 10000 | 0.0 | - |
|
| 363 |
+
| 3.0445 | 10050 | 0.0 | - |
|
| 364 |
+
| 3.0597 | 10100 | 0.0 | - |
|
| 365 |
+
| 3.0748 | 10150 | 0.0 | - |
|
| 366 |
+
| 3.0900 | 10200 | 0.0 | - |
|
| 367 |
+
| 3.1051 | 10250 | 0.0001 | - |
|
| 368 |
+
| 3.1203 | 10300 | 0.0001 | - |
|
| 369 |
+
| 3.1354 | 10350 | 0.0 | - |
|
| 370 |
+
| 3.1506 | 10400 | 0.0 | - |
|
| 371 |
+
| 3.1657 | 10450 | 0.0 | - |
|
| 372 |
+
| 3.1809 | 10500 | 0.0 | - |
|
| 373 |
+
| 3.1960 | 10550 | 0.0 | - |
|
| 374 |
+
| 3.2111 | 10600 | 0.0 | - |
|
| 375 |
+
| 3.2263 | 10650 | 0.0 | - |
|
| 376 |
+
| 3.2414 | 10700 | 0.0 | - |
|
| 377 |
+
| 3.2566 | 10750 | 0.0 | - |
|
| 378 |
+
| 3.2717 | 10800 | 0.0 | - |
|
| 379 |
+
| 3.2869 | 10850 | 0.0 | - |
|
| 380 |
+
| 3.3020 | 10900 | 0.0 | - |
|
| 381 |
+
| 3.3172 | 10950 | 0.0 | - |
|
| 382 |
+
| 3.3323 | 11000 | 0.0 | - |
|
| 383 |
+
| 3.3475 | 11050 | 0.0 | - |
|
| 384 |
+
| 3.3626 | 11100 | 0.0 | - |
|
| 385 |
+
| 3.3778 | 11150 | 0.0 | - |
|
| 386 |
+
| 3.3929 | 11200 | 0.0 | - |
|
| 387 |
+
| 3.4081 | 11250 | 0.0001 | - |
|
| 388 |
+
| 3.4232 | 11300 | 0.0 | - |
|
| 389 |
+
| 3.4384 | 11350 | 0.0 | - |
|
| 390 |
+
| 3.4535 | 11400 | 0.0 | - |
|
| 391 |
+
| 3.4686 | 11450 | 0.0 | - |
|
| 392 |
+
| 3.4838 | 11500 | 0.0 | - |
|
| 393 |
+
| 3.4989 | 11550 | 0.0 | - |
|
| 394 |
+
| 3.5141 | 11600 | 0.0 | - |
|
| 395 |
+
| 3.5292 | 11650 | 0.0 | - |
|
| 396 |
+
| 3.5444 | 11700 | 0.0 | - |
|
| 397 |
+
| 3.5595 | 11750 | 0.0 | - |
|
| 398 |
+
| 3.5747 | 11800 | 0.0 | - |
|
| 399 |
+
| 3.5898 | 11850 | 0.0 | - |
|
| 400 |
+
| 3.6050 | 11900 | 0.0 | - |
|
| 401 |
+
| 3.6201 | 11950 | 0.0 | - |
|
| 402 |
+
| 3.6353 | 12000 | 0.0 | - |
|
| 403 |
+
| 3.6504 | 12050 | 0.0 | - |
|
| 404 |
+
| 3.6656 | 12100 | 0.0001 | - |
|
| 405 |
+
| 3.6807 | 12150 | 0.0 | - |
|
| 406 |
+
| 3.6958 | 12200 | 0.0 | - |
|
| 407 |
+
| 3.7110 | 12250 | 0.0 | - |
|
| 408 |
+
| 3.7261 | 12300 | 0.0 | - |
|
| 409 |
+
| 3.7413 | 12350 | 0.0 | - |
|
| 410 |
+
| 3.7564 | 12400 | 0.0 | - |
|
| 411 |
+
| 3.7716 | 12450 | 0.0 | - |
|
| 412 |
+
| 3.7867 | 12500 | 0.0 | - |
|
| 413 |
+
| 3.8019 | 12550 | 0.0 | - |
|
| 414 |
+
| 3.8170 | 12600 | 0.0 | - |
|
| 415 |
+
| 3.8322 | 12650 | 0.0 | - |
|
| 416 |
+
| 3.8473 | 12700 | 0.0 | - |
|
| 417 |
+
| 3.8625 | 12750 | 0.0 | - |
|
| 418 |
+
| 3.8776 | 12800 | 0.0 | - |
|
| 419 |
+
| 3.8928 | 12850 | 0.0 | - |
|
| 420 |
+
| 3.9079 | 12900 | 0.0 | - |
|
| 421 |
+
| 3.9231 | 12950 | 0.0 | - |
|
| 422 |
+
| 3.9382 | 13000 | 0.0 | - |
|
| 423 |
+
| 3.9533 | 13050 | 0.0 | - |
|
| 424 |
+
| 3.9685 | 13100 | 0.0 | - |
|
| 425 |
+
| 3.9836 | 13150 | 0.0 | - |
|
| 426 |
+
| 3.9988 | 13200 | 0.0 | - |
|
| 427 |
+
| **4.0** | **13204** | **-** | **0.0** |
|
| 428 |
|
| 429 |
* The bold row denotes the saved checkpoint.
|
| 430 |
### Framework Versions
|
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "checkpoints/
|
| 3 |
"architectures": [
|
| 4 |
"BertModel"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "checkpoints/step_13204",
|
| 3 |
"architectures": [
|
| 4 |
"BertModel"
|
| 5 |
],
|
config_setfit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"labels": [
|
| 3 |
"negative",
|
| 4 |
"positive"
|
| 5 |
-
]
|
| 6 |
-
"normalize_embeddings": false
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"normalize_embeddings": false,
|
| 3 |
"labels": [
|
| 4 |
"negative",
|
| 5 |
"positive"
|
| 6 |
+
]
|
|
|
|
| 7 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 133462128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40e4cc7db0adcc18ad2ffb99b2b10140583b345bcfc9069ad9dbaac3ab83b733
|
| 3 |
size 133462128
|
model_head.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 16559
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:878280bcf58d6869d7a31c866e31de59e398374d8008422dae0b780102ab3a97
|
| 3 |
size 16559
|