Text Classification
setfit
ONNX
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use aadiausa/Set_Fit_Ausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use aadiausa/Set_Fit_Ausa with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("aadiausa/Set_Fit_Ausa") - sentence-transformers
How to use aadiausa/Set_Fit_Ausa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aadiausa/Set_Fit_Ausa") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Retrain: recall/meta + general questions -> system.oos (2026-06-25); refresh model card
Browse files- README.md +286 -263
- model.safetensors +1 -1
- model_head.pkl +1 -1
README.md
CHANGED
|
@@ -5,11 +5,11 @@ tags:
|
|
| 5 |
- text-classification
|
| 6 |
- generated_from_setfit_trainer
|
| 7 |
widget:
|
| 8 |
-
- text:
|
| 9 |
-
- text:
|
| 10 |
-
- text:
|
| 11 |
-
- text:
|
| 12 |
-
- text:
|
| 13 |
metrics:
|
| 14 |
- accuracy
|
| 15 |
pipeline_tag: text-classification
|
|
@@ -17,6 +17,22 @@ library_name: setfit
|
|
| 17 |
inference: true
|
| 18 |
---
|
| 19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
# SetFit
|
| 21 |
|
| 22 |
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
|
|
@@ -45,47 +61,47 @@ The model has been trained using an efficient few-shot learning technique that i
|
|
| 45 |
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 46 |
|
| 47 |
### Model Labels
|
| 48 |
-
| Label | Examples
|
| 49 |
-
|:------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 50 |
-
|
|
| 51 |
-
|
|
| 52 |
-
|
|
| 53 |
-
|
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
| 60 |
-
|
|
| 61 |
-
|
|
| 62 |
-
|
|
| 63 |
-
|
|
| 64 |
-
|
|
| 65 |
-
|
|
| 66 |
-
| profiles.
|
| 67 |
-
|
|
| 68 |
-
|
|
| 69 |
-
|
|
| 70 |
-
|
|
| 71 |
-
|
|
| 72 |
-
|
|
| 73 |
-
| profiles.family.
|
| 74 |
-
|
|
| 75 |
-
|
|
| 76 |
-
| profiles.
|
| 77 |
-
| appointments.
|
| 78 |
-
|
|
| 79 |
-
|
|
| 80 |
-
|
|
| 81 |
-
|
|
| 82 |
-
|
|
| 83 |
-
| profiles.allergies.
|
| 84 |
-
|
|
| 85 |
-
|
|
| 86 |
-
|
|
| 87 |
-
| profiles.
|
| 88 |
-
| profiles.allergies.
|
| 89 |
|
| 90 |
## Uses
|
| 91 |
|
|
@@ -105,7 +121,7 @@ from setfit import SetFitModel
|
|
| 105 |
# Download from the 🤗 Hub
|
| 106 |
model = SetFitModel.from_pretrained("setfit_model_id")
|
| 107 |
# Run inference
|
| 108 |
-
preds = model("
|
| 109 |
```
|
| 110 |
|
| 111 |
<!--
|
|
@@ -137,7 +153,7 @@ preds = model("when am I eating breakfast")
|
|
| 137 |
### Training Set Metrics
|
| 138 |
| Training set | Min | Median | Max |
|
| 139 |
|:-------------|:----|:-------|:----|
|
| 140 |
-
| Word count | 1 | 6.
|
| 141 |
|
| 142 |
| Label | Training Sample Count |
|
| 143 |
|:------------------------------------|:----------------------|
|
|
@@ -150,7 +166,7 @@ preds = model("when am I eating breakfast")
|
|
| 150 |
| messages.read | 39 |
|
| 151 |
| messages.send | 109 |
|
| 152 |
| profiles.allergies.create | 22 |
|
| 153 |
-
| profiles.allergies.delete |
|
| 154 |
| profiles.allergies.read | 22 |
|
| 155 |
| profiles.allergies.update | 22 |
|
| 156 |
| profiles.care_team | 40 |
|
|
@@ -177,9 +193,9 @@ preds = model("when am I eating breakfast")
|
|
| 177 |
| summary.read | 32 |
|
| 178 |
| symptoms.report | 44 |
|
| 179 |
| system.cancel | 27 |
|
| 180 |
-
| system.oos |
|
| 181 |
| tests.take_test | 31 |
|
| 182 |
-
| tests.test_history |
|
| 183 |
|
| 184 |
### Training Hyperparameters
|
| 185 |
- batch_size: (16, 16)
|
|
@@ -205,218 +221,225 @@ preds = model("when am I eating breakfast")
|
|
| 205 |
| Epoch | Step | Training Loss | Validation Loss |
|
| 206 |
|:------:|:-----:|:-------------:|:---------------:|
|
| 207 |
| 0.0003 | 1 | 0.0006 | - |
|
| 208 |
-
| 0.
|
| 209 |
-
| 0.
|
| 210 |
-
| 0.
|
| 211 |
-
| 0.
|
| 212 |
-
| 0.
|
| 213 |
-
| 0.
|
| 214 |
-
| 0.
|
| 215 |
-
| 0.
|
| 216 |
-
| 0.
|
| 217 |
-
| 0.
|
| 218 |
-
| 0.
|
| 219 |
-
| 0.
|
| 220 |
-
| 0.
|
| 221 |
-
| 0.
|
| 222 |
-
| 0.
|
| 223 |
-
| 0.
|
| 224 |
-
| 0.
|
| 225 |
-
| 0.
|
| 226 |
-
| 0.
|
| 227 |
-
| 0.
|
| 228 |
-
| 0.
|
| 229 |
-
| 0.
|
| 230 |
-
| 0.
|
| 231 |
-
| 0.
|
| 232 |
-
| 0.
|
| 233 |
-
| 0.
|
| 234 |
-
| 0.
|
| 235 |
-
| 0.
|
| 236 |
-
| 0.
|
| 237 |
-
| 0.
|
| 238 |
-
| 0.
|
| 239 |
-
| 0.
|
| 240 |
-
| 0.
|
| 241 |
-
| 0.
|
| 242 |
-
| 0.
|
| 243 |
-
| 0.
|
| 244 |
-
| 0.
|
| 245 |
-
| 0.
|
| 246 |
-
| 0.
|
| 247 |
-
| 0.
|
| 248 |
-
| 0.
|
| 249 |
-
| 0.
|
| 250 |
-
| 0.
|
| 251 |
-
| 0.
|
| 252 |
-
| 0.
|
| 253 |
-
| 0.
|
| 254 |
-
| 0.
|
| 255 |
-
| 0.
|
| 256 |
-
| 0.
|
| 257 |
-
| 0.
|
| 258 |
-
| 0.
|
| 259 |
-
| 0.
|
| 260 |
-
| 0.
|
| 261 |
-
| 0.
|
| 262 |
-
| 0.
|
| 263 |
-
| 0.
|
| 264 |
-
| 0.
|
| 265 |
-
| 0.
|
| 266 |
-
| 0.
|
| 267 |
-
| 0.
|
| 268 |
-
| 0.
|
| 269 |
-
| 0.
|
| 270 |
-
| 0.
|
| 271 |
-
| 0.
|
| 272 |
-
| 0.
|
| 273 |
-
| 0.
|
| 274 |
-
| 0.
|
| 275 |
-
| 0.
|
| 276 |
-
| 0.
|
| 277 |
-
|
|
| 278 |
-
|
|
| 279 |
-
|
|
| 280 |
-
| 1.
|
| 281 |
-
| 1.
|
| 282 |
-
| 1.
|
| 283 |
-
| 1.
|
| 284 |
-
| 1.
|
| 285 |
-
| 1.
|
| 286 |
-
| 1.
|
| 287 |
-
| 1.
|
| 288 |
-
| 1.
|
| 289 |
-
| 1.
|
| 290 |
-
| 1.
|
| 291 |
-
| 1.
|
| 292 |
-
| 1.
|
| 293 |
-
| 1.
|
| 294 |
-
| 1.
|
| 295 |
-
| 1.
|
| 296 |
-
| 1.
|
| 297 |
-
| 1.
|
| 298 |
-
| 1.
|
| 299 |
-
| 1.
|
| 300 |
-
| 1.
|
| 301 |
-
| 1.
|
| 302 |
-
| 1.
|
| 303 |
-
| 1.
|
| 304 |
-
| 1.
|
| 305 |
-
| 1.
|
| 306 |
-
| 1.
|
| 307 |
-
| 1.
|
| 308 |
-
| 1.
|
| 309 |
-
| 1.
|
| 310 |
-
| 1.
|
| 311 |
-
| 1.
|
| 312 |
-
| 1.
|
| 313 |
-
| 1.
|
| 314 |
-
| 1.
|
| 315 |
-
| 1.
|
| 316 |
-
| 1.
|
| 317 |
-
| 1.
|
| 318 |
-
| 1.
|
| 319 |
-
| 1.
|
| 320 |
-
| 1.
|
| 321 |
-
| 1.
|
| 322 |
-
| 1.
|
| 323 |
-
| 1.
|
| 324 |
-
| 1.
|
| 325 |
-
| 1.
|
| 326 |
-
| 1.
|
| 327 |
-
| 1.
|
| 328 |
-
| 1.
|
| 329 |
-
| 1.
|
| 330 |
-
| 1.
|
| 331 |
-
| 1.
|
| 332 |
-
| 1.
|
| 333 |
-
| 1.
|
| 334 |
-
| 1.
|
| 335 |
-
| 1.
|
| 336 |
-
| 1.
|
| 337 |
-
| 1.
|
| 338 |
-
| 1.
|
| 339 |
-
| 1.
|
| 340 |
-
| 1.
|
| 341 |
-
| 1.
|
| 342 |
-
| 1.
|
| 343 |
-
| 1.
|
| 344 |
-
| 1.
|
| 345 |
-
| 1.
|
| 346 |
-
| 1.
|
| 347 |
-
| 1.
|
| 348 |
-
|
|
| 349 |
-
|
|
| 350 |
-
|
|
| 351 |
-
|
|
| 352 |
-
|
|
| 353 |
-
| 2.
|
| 354 |
-
| 2.
|
| 355 |
-
| 2.
|
| 356 |
-
| 2.
|
| 357 |
-
| 2.
|
| 358 |
-
| 2.
|
| 359 |
-
| 2.
|
| 360 |
-
| 2.
|
| 361 |
-
| 2.
|
| 362 |
-
| 2.
|
| 363 |
-
| 2.
|
| 364 |
-
| 2.
|
| 365 |
-
| 2.
|
| 366 |
-
| 2.
|
| 367 |
-
| 2.
|
| 368 |
-
| 2.
|
| 369 |
-
| 2.
|
| 370 |
-
| 2.
|
| 371 |
-
| 2.
|
| 372 |
-
| 2.
|
| 373 |
-
| 2.
|
| 374 |
-
| 2.
|
| 375 |
-
| 2.
|
| 376 |
-
| 2.
|
| 377 |
-
| 2.
|
| 378 |
-
| 2.
|
| 379 |
-
| 2.
|
| 380 |
-
| 2.
|
| 381 |
-
| 2.
|
| 382 |
-
| 2.
|
| 383 |
-
| 2.
|
| 384 |
-
| 2.
|
| 385 |
-
| 2.
|
| 386 |
-
| 2.
|
| 387 |
-
| 2.
|
| 388 |
-
| 2.
|
| 389 |
-
| 2.
|
| 390 |
-
| 2.
|
| 391 |
-
| 2.
|
| 392 |
-
| 2.
|
| 393 |
-
| 2.
|
| 394 |
-
| 2.
|
| 395 |
-
| 2.
|
| 396 |
-
| 2.
|
| 397 |
-
| 2.
|
| 398 |
-
| 2.
|
| 399 |
-
| 2.
|
| 400 |
-
| 2.
|
| 401 |
-
| 2.
|
| 402 |
-
| 2.
|
| 403 |
-
| 2.
|
| 404 |
-
| 2.
|
| 405 |
-
| 2.
|
| 406 |
-
| 2.
|
| 407 |
-
| 2.
|
| 408 |
-
| 2.
|
| 409 |
-
| 2.
|
| 410 |
-
| 2.
|
| 411 |
-
| 2.
|
| 412 |
-
| 2.
|
| 413 |
-
| 2.
|
| 414 |
-
| 2.
|
| 415 |
-
| 2.
|
| 416 |
-
| 2.
|
| 417 |
-
| 2.
|
| 418 |
-
| 2.
|
| 419 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 420 |
|
| 421 |
### Framework Versions
|
| 422 |
- Python: 3.12.10
|
|
|
|
| 5 |
- text-classification
|
| 6 |
- generated_from_setfit_trainer
|
| 7 |
widget:
|
| 8 |
+
- text: do I still need to take my medicine?
|
| 9 |
+
- text: send me another verification email
|
| 10 |
+
- text: at what time do I have dinner
|
| 11 |
+
- text: is it safe to take my insulin if my sugar is normal?
|
| 12 |
+
- text: turn on AR guides for test sessions
|
| 13 |
metrics:
|
| 14 |
- accuracy
|
| 15 |
pipeline_tag: text-classification
|
|
|
|
| 17 |
inference: true
|
| 18 |
---
|
| 19 |
|
| 20 |
+
## Ausa Hub — intent router
|
| 21 |
+
|
| 22 |
+
On-device SetFit intent classifier for the **Ausa Hub** local voice assistant
|
| 23 |
+
(see `engine/router_config.py`). Maps a patient utterance to one of **39 intents**
|
| 24 |
+
(appointments, routines, profiles, tests/vitals, messages, meal_time, symptoms,
|
| 25 |
+
summary, settings, and the `system.*` catch-alls). Runs as ONNX on-device and
|
| 26 |
+
also seeds the cloud LLM router's priors.
|
| 27 |
+
|
| 28 |
+
- **Intents:** 39
|
| 29 |
+
- **Training examples:** ~1699
|
| 30 |
+
- **Last updated:** 2026-06-25
|
| 31 |
+
- **Recent change:** conversation-meta / recall utterances ("what did I just
|
| 32 |
+
say", "what did I tell you my dog's name was", "remind me what I said") and
|
| 33 |
+
general-knowledge questions now classify as `system.oos` so they reach the
|
| 34 |
+
conversational assistant instead of a records intent.
|
| 35 |
+
|
| 36 |
# SetFit
|
| 37 |
|
| 38 |
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
|
|
|
|
| 61 |
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 62 |
|
| 63 |
### Model Labels
|
| 64 |
+
| Label | Examples |
|
| 65 |
+
|:------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 66 |
+
| messages.send | <ul><li>'should I take a half dose of my statin?'</li><li>'message aakash hi'</li><li>'Should I be worried about this reading?'</li></ul> |
|
| 67 |
+
| appointments.read | <ul><li>'what appointments do I have this week'</li><li>'are there any earlier slots'</li><li>'what times are available tomorrow'</li></ul> |
|
| 68 |
+
| profiles.care_team | <ul><li>'does my doctor have any openings this week'</li><li>"what is my doctor's phone number"</li><li>'list my assigned medical professionals'</li></ul> |
|
| 69 |
+
| system.oos | <ul><li>'twice a day'</li><li>'update that one'</li><li>'what is your name'</li></ul> |
|
| 70 |
+
| routines.update | <ul><li>'update my meditation routine duration from 10 to 20 minutes'</li><li>'update my yoga routine to include weekends'</li><li>"I need to push my morning jog routine back by an hour to 7 AM because it's getting too cold."</li></ul> |
|
| 71 |
+
| summary.read | <ul><li>"what's happening for me today"</li><li>'fill me in on my day'</li><li>'give me a rundown of my day'</li></ul> |
|
| 72 |
+
| tests.take_test | <ul><li>'let me do a temperature check'</li><li>'glucose test'</li><li>'begin a health test right now'</li></ul> |
|
| 73 |
+
| tests.test_history | <ul><li>'are my vitals normal'</li><li>'show me my vitals'</li><li>'is my blood sugar too high'</li></ul> |
|
| 74 |
+
| profiles.family.update | <ul><li>"extend my mother's data sharing for 90 more days"</li><li>"extend my son's data sharing access for another 30 days"</li><li>"update my brother-in-law's sharing to permanent"</li></ul> |
|
| 75 |
+
| symptoms.report | <ul><li>"I'm getting these chest palpitations"</li><li>'I have a migraine'</li><li>"i'm not well"</li></ul> |
|
| 76 |
+
| meal_time.update | <ul><li>'push my breakfast back to 7:30'</li><li>'set my dinner meal time to 8pm'</li><li>'set breakfast to 8am'</li></ul> |
|
| 77 |
+
| meal_time.read | <ul><li>'do I have a meal coming up'</li><li>'what time do I have my meals'</li><li>'what time is breakfast'</li></ul> |
|
| 78 |
+
| profiles.personal_info.picture | <ul><li>'choose a different photo for my profile'</li><li>'I need a new avatar picture'</li><li>'Let me snap a quick selfie to replace my current avatar.'</li></ul> |
|
| 79 |
+
| settings.calls | <ul><li>'warn me about poor connection during calls'</li><li>'enable background blur and closed captions'</li><li>'keep camera off when joining a call'</li></ul> |
|
| 80 |
+
| routines.read | <ul><li>'show my routines for today'</li><li>'what is the schedule for my gym routine'</li><li>'cancel this, show my routine schedule'</li></ul> |
|
| 81 |
+
| profiles.read | <ul><li>'what conditions have been diagnosed for me'</li><li>'what is my medical history'</li><li>'what medical issues are on my record'</li></ul> |
|
| 82 |
+
| profiles.personal_info.read | <ul><li>'what email is on my account'</li><li>'show me my email address'</li><li>'what is my email'</li></ul> |
|
| 83 |
+
| profiles.allergies.update | <ul><li>'cancel, I want to update my allergy info'</li><li>'My reaction to dairy has gotten worse, change the severity to high and add stomach cramps.'</li><li>'update my cat allergy to include asthma symptoms'</li></ul> |
|
| 84 |
+
| appointments.create | <ul><li>'arrange a visit for next Friday I need a prescription refill'</li><li>'leave it, I want to schedule a doctor visit instead'</li><li>'I want to schedule a checkup'</li></ul> |
|
| 85 |
+
| profiles.update | <ul><li>'I need to change my primary care physician'</li><li>'update my emergency contact to my wife'</li><li>'update my insurance plan details'</li></ul> |
|
| 86 |
+
| routines.create | <ul><li>'set up a blood pressure testing routine'</li><li>'create a routine to take my aspirin 81mg every day after lunch'</li><li>'create a monthly routine for my doctor follow-up on the first Monday'</li></ul> |
|
| 87 |
+
| settings.wifi | <ul><li>'I need to switch wifi networks'</li><li>'configure my wifi settings'</li><li>'show me my saved wifi networks'</li></ul> |
|
| 88 |
+
| profiles.family.read | <ul><li>'list all family members connected'</li><li>'show me who I am sharing my health data with'</li><li>'show me my family'</li></ul> |
|
| 89 |
+
| profiles.family.create | <ul><li>'invite someone to my account'</li><li>'I want to invite my husband to my care circle so he can keep track of my appointments.'</li><li>'let someone see my health information'</li></ul> |
|
| 90 |
+
| messages.read | <ul><li>'show my messages'</li><li>'show me my recent messages'</li><li>'what did Dr. Chen say'</li></ul> |
|
| 91 |
+
| profiles.personal_info.verify_email | <ul><li>'validate my email with a code'</li><li>'verify my email address'</li><li>'resend the email confirmation link'</li></ul> |
|
| 92 |
+
| profiles.family.delete | <ul><li>'delete my sister from family sharing'</li><li>'delete my neighbor from my care circle'</li><li>'delete all sharing with my in-laws'</li></ul> |
|
| 93 |
+
| appointments.delete | <ul><li>'take my Thursday appointment off the calendar'</li><li>"Scrap the follow-up appointment with the dermatologist, I won't be needing it."</li><li>'cancel the telehealth call I scheduled'</li></ul> |
|
| 94 |
+
| routines.delete | <ul><li>'take off my insulin shot reminder'</li><li>'erase this routine from my list forever'</li><li>'I do not need this routine anymore'</li></ul> |
|
| 95 |
+
| settings.display | <ul><li>'what is my current brightness level'</li><li>'brighten the display'</li><li>'dim the screen brightness'</li></ul> |
|
| 96 |
+
| settings.notifications | <ul><li>'show me my current notification settings'</li><li>'I want to make sure I get pinged whenever my care team sends a message, turn those on.'</li><li>'disable care team notifications'</li></ul> |
|
| 97 |
+
| system.cancel | <ul><li>'disregard'</li><li>'can we just stop'</li><li>"let's not"</li></ul> |
|
| 98 |
+
| profiles.allergies.read | <ul><li>'check if I have a sulfa drug allergy'</li><li>'tell me about my allergy details'</li><li>'is there an egg allergy on my profile'</li></ul> |
|
| 99 |
+
| profiles.allergies.delete | <ul><li>'delete an old allergy that is not relevant'</li><li>'get rid of the egg allergy entry'</li><li>'delete the nickel allergy from my file'</li></ul> |
|
| 100 |
+
| settings.devices | <ul><li>'connect a health monitoring device'</li><li>'remove the old thermometer from my devices'</li><li>'is my blood pressure cuff connected'</li></ul> |
|
| 101 |
+
| profiles.personal_info.update | <ul><li>'update my last name to Johnson'</li><li>'nevermind, change my height'</li><li>'change my date of birth'</li></ul> |
|
| 102 |
+
| appointments.update | <ul><li>'reschedule my appointment from morning to afternoon'</li><li>'stop, can you change my appointment time instead'</li><li>'I need to change the time of my visit'</li></ul> |
|
| 103 |
+
| profiles.personal_info.verify_phone | <ul><li>'nevermind, verify my phone'</li><li>'I changed my number and need to verify it'</li><li>'trigger a new phone verification code'</li></ul> |
|
| 104 |
+
| profiles.allergies.create | <ul><li>'I found out I am allergic to something new'</li><li>'put down a soy allergy with mild stomach discomfort'</li><li>'add a penicillin allergy with severe severity I get hives and swelling and it started in childhood'</li></ul> |
|
| 105 |
|
| 106 |
## Uses
|
| 107 |
|
|
|
|
| 121 |
# Download from the 🤗 Hub
|
| 122 |
model = SetFitModel.from_pretrained("setfit_model_id")
|
| 123 |
# Run inference
|
| 124 |
+
preds = model("at what time do I have dinner")
|
| 125 |
```
|
| 126 |
|
| 127 |
<!--
|
|
|
|
| 153 |
### Training Set Metrics
|
| 154 |
| Training set | Min | Median | Max |
|
| 155 |
|:-------------|:----|:-------|:----|
|
| 156 |
+
| Word count | 1 | 6.2825 | 21 |
|
| 157 |
|
| 158 |
| Label | Training Sample Count |
|
| 159 |
|:------------------------------------|:----------------------|
|
|
|
|
| 166 |
| messages.read | 39 |
|
| 167 |
| messages.send | 109 |
|
| 168 |
| profiles.allergies.create | 22 |
|
| 169 |
+
| profiles.allergies.delete | 26 |
|
| 170 |
| profiles.allergies.read | 22 |
|
| 171 |
| profiles.allergies.update | 22 |
|
| 172 |
| profiles.care_team | 40 |
|
|
|
|
| 193 |
| summary.read | 32 |
|
| 194 |
| symptoms.report | 44 |
|
| 195 |
| system.cancel | 27 |
|
| 196 |
+
| system.oos | 180 |
|
| 197 |
| tests.take_test | 31 |
|
| 198 |
+
| tests.test_history | 76 |
|
| 199 |
|
| 200 |
### Training Hyperparameters
|
| 201 |
- batch_size: (16, 16)
|
|
|
|
| 221 |
| Epoch | Step | Training Loss | Validation Loss |
|
| 222 |
|:------:|:-----:|:-------------:|:---------------:|
|
| 223 |
| 0.0003 | 1 | 0.0006 | - |
|
| 224 |
+
| 0.0139 | 50 | 0.0042 | - |
|
| 225 |
+
| 0.0277 | 100 | 0.0011 | - |
|
| 226 |
+
| 0.0416 | 150 | 0.0009 | - |
|
| 227 |
+
| 0.0554 | 200 | 0.0004 | - |
|
| 228 |
+
| 0.0693 | 250 | 0.0005 | - |
|
| 229 |
+
| 0.0831 | 300 | 0.0004 | - |
|
| 230 |
+
| 0.0970 | 350 | 0.0005 | - |
|
| 231 |
+
| 0.1108 | 400 | 0.0004 | - |
|
| 232 |
+
| 0.1247 | 450 | 0.0004 | - |
|
| 233 |
+
| 0.1385 | 500 | 0.0005 | - |
|
| 234 |
+
| 0.1524 | 550 | 0.0004 | - |
|
| 235 |
+
| 0.1662 | 600 | 0.0004 | - |
|
| 236 |
+
| 0.1801 | 650 | 0.0004 | - |
|
| 237 |
+
| 0.1939 | 700 | 0.0004 | - |
|
| 238 |
+
| 0.2078 | 750 | 0.0004 | - |
|
| 239 |
+
| 0.2216 | 800 | 0.0004 | - |
|
| 240 |
+
| 0.2355 | 850 | 0.0005 | - |
|
| 241 |
+
| 0.2493 | 900 | 0.0005 | - |
|
| 242 |
+
| 0.2632 | 950 | 0.0005 | - |
|
| 243 |
+
| 0.2770 | 1000 | 0.0005 | - |
|
| 244 |
+
| 0.2909 | 1050 | 0.0005 | - |
|
| 245 |
+
| 0.3047 | 1100 | 0.0005 | - |
|
| 246 |
+
| 0.3186 | 1150 | 0.0005 | - |
|
| 247 |
+
| 0.3324 | 1200 | 0.0006 | - |
|
| 248 |
+
| 0.3463 | 1250 | 0.0005 | - |
|
| 249 |
+
| 0.3601 | 1300 | 0.0005 | - |
|
| 250 |
+
| 0.3740 | 1350 | 0.0005 | - |
|
| 251 |
+
| 0.3878 | 1400 | 0.0032 | - |
|
| 252 |
+
| 0.4017 | 1450 | 0.0006 | - |
|
| 253 |
+
| 0.4155 | 1500 | 0.0006 | - |
|
| 254 |
+
| 0.4294 | 1550 | 0.0005 | - |
|
| 255 |
+
| 0.4432 | 1600 | 0.0005 | - |
|
| 256 |
+
| 0.4571 | 1650 | 0.0005 | - |
|
| 257 |
+
| 0.4709 | 1700 | 0.0007 | - |
|
| 258 |
+
| 0.4848 | 1750 | 0.0005 | - |
|
| 259 |
+
| 0.4986 | 1800 | 0.0005 | - |
|
| 260 |
+
| 0.5125 | 1850 | 0.0005 | - |
|
| 261 |
+
| 0.5263 | 1900 | 0.0006 | - |
|
| 262 |
+
| 0.5402 | 1950 | 0.0005 | - |
|
| 263 |
+
| 0.5540 | 2000 | 0.0005 | - |
|
| 264 |
+
| 0.5679 | 2050 | 0.0005 | - |
|
| 265 |
+
| 0.5817 | 2100 | 0.0005 | - |
|
| 266 |
+
| 0.5956 | 2150 | 0.0006 | - |
|
| 267 |
+
| 0.6094 | 2200 | 0.0005 | - |
|
| 268 |
+
| 0.6233 | 2250 | 0.0004 | - |
|
| 269 |
+
| 0.6371 | 2300 | 0.0005 | - |
|
| 270 |
+
| 0.6510 | 2350 | 0.0005 | - |
|
| 271 |
+
| 0.6648 | 2400 | 0.0005 | - |
|
| 272 |
+
| 0.6787 | 2450 | 0.0005 | - |
|
| 273 |
+
| 0.6925 | 2500 | 0.0005 | - |
|
| 274 |
+
| 0.7064 | 2550 | 0.0005 | - |
|
| 275 |
+
| 0.7202 | 2600 | 0.0004 | - |
|
| 276 |
+
| 0.7341 | 2650 | 0.0013 | - |
|
| 277 |
+
| 0.7479 | 2700 | 0.0005 | - |
|
| 278 |
+
| 0.7618 | 2750 | 0.0005 | - |
|
| 279 |
+
| 0.7756 | 2800 | 0.0005 | - |
|
| 280 |
+
| 0.7895 | 2850 | 0.0004 | - |
|
| 281 |
+
| 0.8033 | 2900 | 0.0005 | - |
|
| 282 |
+
| 0.8172 | 2950 | 0.0005 | - |
|
| 283 |
+
| 0.8310 | 3000 | 0.0004 | - |
|
| 284 |
+
| 0.8449 | 3050 | 0.0005 | - |
|
| 285 |
+
| 0.8587 | 3100 | 0.0007 | - |
|
| 286 |
+
| 0.8726 | 3150 | 0.0004 | - |
|
| 287 |
+
| 0.8864 | 3200 | 0.0005 | - |
|
| 288 |
+
| 0.9003 | 3250 | 0.0005 | - |
|
| 289 |
+
| 0.9141 | 3300 | 0.0005 | - |
|
| 290 |
+
| 0.9280 | 3350 | 0.0004 | - |
|
| 291 |
+
| 0.9418 | 3400 | 0.0006 | - |
|
| 292 |
+
| 0.9557 | 3450 | 0.0004 | - |
|
| 293 |
+
| 0.9695 | 3500 | 0.0005 | - |
|
| 294 |
+
| 0.9834 | 3550 | 0.0004 | - |
|
| 295 |
+
| 0.9972 | 3600 | 0.0008 | - |
|
| 296 |
+
| 1.0 | 3610 | - | 0.0001 |
|
| 297 |
+
| 1.0111 | 3650 | 0.0004 | - |
|
| 298 |
+
| 1.0249 | 3700 | 0.0006 | - |
|
| 299 |
+
| 1.0388 | 3750 | 0.0005 | - |
|
| 300 |
+
| 1.0526 | 3800 | 0.0004 | - |
|
| 301 |
+
| 1.0665 | 3850 | 0.0007 | - |
|
| 302 |
+
| 1.0803 | 3900 | 0.0005 | - |
|
| 303 |
+
| 1.0942 | 3950 | 0.0004 | - |
|
| 304 |
+
| 1.1080 | 4000 | 0.0005 | - |
|
| 305 |
+
| 1.1219 | 4050 | 0.0004 | - |
|
| 306 |
+
| 1.1357 | 4100 | 0.0005 | - |
|
| 307 |
+
| 1.1496 | 4150 | 0.0004 | - |
|
| 308 |
+
| 1.1634 | 4200 | 0.0008 | - |
|
| 309 |
+
| 1.1773 | 4250 | 0.0004 | - |
|
| 310 |
+
| 1.1911 | 4300 | 0.0004 | - |
|
| 311 |
+
| 1.2050 | 4350 | 0.0004 | - |
|
| 312 |
+
| 1.2188 | 4400 | 0.0004 | - |
|
| 313 |
+
| 1.2327 | 4450 | 0.0004 | - |
|
| 314 |
+
| 1.2465 | 4500 | 0.0005 | - |
|
| 315 |
+
| 1.2604 | 4550 | 0.0004 | - |
|
| 316 |
+
| 1.2742 | 4600 | 0.0004 | - |
|
| 317 |
+
| 1.2881 | 4650 | 0.0005 | - |
|
| 318 |
+
| 1.3019 | 4700 | 0.0004 | - |
|
| 319 |
+
| 1.3158 | 4750 | 0.0005 | - |
|
| 320 |
+
| 1.3296 | 4800 | 0.0004 | - |
|
| 321 |
+
| 1.3435 | 4850 | 0.0004 | - |
|
| 322 |
+
| 1.3573 | 4900 | 0.0004 | - |
|
| 323 |
+
| 1.3712 | 4950 | 0.0004 | - |
|
| 324 |
+
| 1.3850 | 5000 | 0.0005 | - |
|
| 325 |
+
| 1.3989 | 5050 | 0.0004 | - |
|
| 326 |
+
| 1.4127 | 5100 | 0.0004 | - |
|
| 327 |
+
| 1.4266 | 5150 | 0.0004 | - |
|
| 328 |
+
| 1.4404 | 5200 | 0.0007 | - |
|
| 329 |
+
| 1.4543 | 5250 | 0.0004 | - |
|
| 330 |
+
| 1.4681 | 5300 | 0.0004 | - |
|
| 331 |
+
| 1.4820 | 5350 | 0.0004 | - |
|
| 332 |
+
| 1.4958 | 5400 | 0.0005 | - |
|
| 333 |
+
| 1.5097 | 5450 | 0.0004 | - |
|
| 334 |
+
| 1.5235 | 5500 | 0.0005 | - |
|
| 335 |
+
| 1.5374 | 5550 | 0.0004 | - |
|
| 336 |
+
| 1.5512 | 5600 | 0.0005 | - |
|
| 337 |
+
| 1.5651 | 5650 | 0.0004 | - |
|
| 338 |
+
| 1.5789 | 5700 | 0.0004 | - |
|
| 339 |
+
| 1.5928 | 5750 | 0.0004 | - |
|
| 340 |
+
| 1.6066 | 5800 | 0.0004 | - |
|
| 341 |
+
| 1.6205 | 5850 | 0.0004 | - |
|
| 342 |
+
| 1.6343 | 5900 | 0.0004 | - |
|
| 343 |
+
| 1.6482 | 5950 | 0.0004 | - |
|
| 344 |
+
| 1.6620 | 6000 | 0.0005 | - |
|
| 345 |
+
| 1.6759 | 6050 | 0.0005 | - |
|
| 346 |
+
| 1.6898 | 6100 | 0.0004 | - |
|
| 347 |
+
| 1.7036 | 6150 | 0.0012 | - |
|
| 348 |
+
| 1.7175 | 6200 | 0.0007 | - |
|
| 349 |
+
| 1.7313 | 6250 | 0.0006 | - |
|
| 350 |
+
| 1.7452 | 6300 | 0.0015 | - |
|
| 351 |
+
| 1.7590 | 6350 | 0.0005 | - |
|
| 352 |
+
| 1.7729 | 6400 | 0.0004 | - |
|
| 353 |
+
| 1.7867 | 6450 | 0.0005 | - |
|
| 354 |
+
| 1.8006 | 6500 | 0.0017 | - |
|
| 355 |
+
| 1.8144 | 6550 | 0.0004 | - |
|
| 356 |
+
| 1.8283 | 6600 | 0.0004 | - |
|
| 357 |
+
| 1.8421 | 6650 | 0.0004 | - |
|
| 358 |
+
| 1.8560 | 6700 | 0.0004 | - |
|
| 359 |
+
| 1.8698 | 6750 | 0.0004 | - |
|
| 360 |
+
| 1.8837 | 6800 | 0.0004 | - |
|
| 361 |
+
| 1.8975 | 6850 | 0.0004 | - |
|
| 362 |
+
| 1.9114 | 6900 | 0.0004 | - |
|
| 363 |
+
| 1.9252 | 6950 | 0.0004 | - |
|
| 364 |
+
| 1.9391 | 7000 | 0.0004 | - |
|
| 365 |
+
| 1.9529 | 7050 | 0.0004 | - |
|
| 366 |
+
| 1.9668 | 7100 | 0.0004 | - |
|
| 367 |
+
| 1.9806 | 7150 | 0.0004 | - |
|
| 368 |
+
| 1.9945 | 7200 | 0.0004 | - |
|
| 369 |
+
| 2.0 | 7220 | - | 0.0001 |
|
| 370 |
+
| 2.0083 | 7250 | 0.0005 | - |
|
| 371 |
+
| 2.0222 | 7300 | 0.0004 | - |
|
| 372 |
+
| 2.0360 | 7350 | 0.0006 | - |
|
| 373 |
+
| 2.0499 | 7400 | 0.0004 | - |
|
| 374 |
+
| 2.0637 | 7450 | 0.0004 | - |
|
| 375 |
+
| 2.0776 | 7500 | 0.0003 | - |
|
| 376 |
+
| 2.0914 | 7550 | 0.0004 | - |
|
| 377 |
+
| 2.1053 | 7600 | 0.0005 | - |
|
| 378 |
+
| 2.1191 | 7650 | 0.0004 | - |
|
| 379 |
+
| 2.1330 | 7700 | 0.0004 | - |
|
| 380 |
+
| 2.1468 | 7750 | 0.0004 | - |
|
| 381 |
+
| 2.1607 | 7800 | 0.0004 | - |
|
| 382 |
+
| 2.1745 | 7850 | 0.0004 | - |
|
| 383 |
+
| 2.1884 | 7900 | 0.0004 | - |
|
| 384 |
+
| 2.2022 | 7950 | 0.0004 | - |
|
| 385 |
+
| 2.2161 | 8000 | 0.0004 | - |
|
| 386 |
+
| 2.2299 | 8050 | 0.0005 | - |
|
| 387 |
+
| 2.2438 | 8100 | 0.0004 | - |
|
| 388 |
+
| 2.2576 | 8150 | 0.0004 | - |
|
| 389 |
+
| 2.2715 | 8200 | 0.0004 | - |
|
| 390 |
+
| 2.2853 | 8250 | 0.0004 | - |
|
| 391 |
+
| 2.2992 | 8300 | 0.0004 | - |
|
| 392 |
+
| 2.3130 | 8350 | 0.0004 | - |
|
| 393 |
+
| 2.3269 | 8400 | 0.0004 | - |
|
| 394 |
+
| 2.3407 | 8450 | 0.0004 | - |
|
| 395 |
+
| 2.3546 | 8500 | 0.0004 | - |
|
| 396 |
+
| 2.3684 | 8550 | 0.0004 | - |
|
| 397 |
+
| 2.3823 | 8600 | 0.0007 | - |
|
| 398 |
+
| 2.3961 | 8650 | 0.0004 | - |
|
| 399 |
+
| 2.4100 | 8700 | 0.0004 | - |
|
| 400 |
+
| 2.4238 | 8750 | 0.0004 | - |
|
| 401 |
+
| 2.4377 | 8800 | 0.0004 | - |
|
| 402 |
+
| 2.4515 | 8850 | 0.0003 | - |
|
| 403 |
+
| 2.4654 | 8900 | 0.0003 | - |
|
| 404 |
+
| 2.4792 | 8950 | 0.0004 | - |
|
| 405 |
+
| 2.4931 | 9000 | 0.0004 | - |
|
| 406 |
+
| 2.5069 | 9050 | 0.0004 | - |
|
| 407 |
+
| 2.5208 | 9100 | 0.0006 | - |
|
| 408 |
+
| 2.5346 | 9150 | 0.0004 | - |
|
| 409 |
+
| 2.5485 | 9200 | 0.0004 | - |
|
| 410 |
+
| 2.5623 | 9250 | 0.0004 | - |
|
| 411 |
+
| 2.5762 | 9300 | 0.0004 | - |
|
| 412 |
+
| 2.5900 | 9350 | 0.0003 | - |
|
| 413 |
+
| 2.6039 | 9400 | 0.0004 | - |
|
| 414 |
+
| 2.6177 | 9450 | 0.0003 | - |
|
| 415 |
+
| 2.6316 | 9500 | 0.0004 | - |
|
| 416 |
+
| 2.6454 | 9550 | 0.0003 | - |
|
| 417 |
+
| 2.6593 | 9600 | 0.0004 | - |
|
| 418 |
+
| 2.6731 | 9650 | 0.0004 | - |
|
| 419 |
+
| 2.6870 | 9700 | 0.0004 | - |
|
| 420 |
+
| 2.7008 | 9750 | 0.0003 | - |
|
| 421 |
+
| 2.7147 | 9800 | 0.0003 | - |
|
| 422 |
+
| 2.7285 | 9850 | 0.0003 | - |
|
| 423 |
+
| 2.7424 | 9900 | 0.0004 | - |
|
| 424 |
+
| 2.7562 | 9950 | 0.0003 | - |
|
| 425 |
+
| 2.7701 | 10000 | 0.0003 | - |
|
| 426 |
+
| 2.7839 | 10050 | 0.0005 | - |
|
| 427 |
+
| 2.7978 | 10100 | 0.0004 | - |
|
| 428 |
+
| 2.8116 | 10150 | 0.0003 | - |
|
| 429 |
+
| 2.8255 | 10200 | 0.0003 | - |
|
| 430 |
+
| 2.8393 | 10250 | 0.0003 | - |
|
| 431 |
+
| 2.8532 | 10300 | 0.0003 | - |
|
| 432 |
+
| 2.8670 | 10350 | 0.0004 | - |
|
| 433 |
+
| 2.8809 | 10400 | 0.0003 | - |
|
| 434 |
+
| 2.8947 | 10450 | 0.0004 | - |
|
| 435 |
+
| 2.9086 | 10500 | 0.0003 | - |
|
| 436 |
+
| 2.9224 | 10550 | 0.0004 | - |
|
| 437 |
+
| 2.9363 | 10600 | 0.0004 | - |
|
| 438 |
+
| 2.9501 | 10650 | 0.0004 | - |
|
| 439 |
+
| 2.9640 | 10700 | 0.0003 | - |
|
| 440 |
+
| 2.9778 | 10750 | 0.0003 | - |
|
| 441 |
+
| 2.9917 | 10800 | 0.0003 | - |
|
| 442 |
+
| 3.0 | 10830 | - | 0.0000 |
|
| 443 |
|
| 444 |
### Framework Versions
|
| 445 |
- Python: 3.12.10
|
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:c2e51ce6205f8ceddc4a2be9267a16bd58f126f60b573ec11dbce7045f558bca
|
| 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 121279
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:58f05a320aa840e0c5b06e6d3c2ad3f34ccbe6dcb3074b3b6857afa974c1a750
|
| 3 |
size 121279
|