commit files to HF hub
Browse files- README.md +24 -0
- evaluation_metrics.json +1 -0
- hyperparameters.json +1 -0
- prediction_test.txt +407 -0
README.md
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---
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widget:
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- text: "context: watch runningman ep486 again last night bcs i miss chorong 😭😭, definition: South Korean singer and actress, target: chorong"
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example_title: example 1
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- text: "context: @user We see now with Seth.. no club wants to touch him after he left Arrows. A bright talent, now forced to go train with ABC Motsepe League team.. until he decides to go back to Arrows.. a serious blacklisting, definition: football league, target: ABC Motsepe League"
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example_title: example 2
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- text: "context: @user 26 just a lot to beat bill Clark by. But imma check out some shit later and let you know, definition: American football coach, target: bill Clark"
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example_title: example 3
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---
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# cardiffnlp/flan-t5-small-tweet-nerd
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This is [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) fine-tuned on [cardiffnlp/super_tweeteval (tweet_nerd)](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
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### Usage
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```python
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from transformers import pipeline
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pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-small-tweet-nerd")
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output = pipe("context: watch runningman ep486 again last night bcs i miss chorong 😭😭, definition: South Korean singer and actress, target: chorong")
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```
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evaluation_metrics.json
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{"eval_exact_match": 0.515970515970516}
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hyperparameters.json
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{"learning_rate": 8.536189862866844e-05, "num_train_epochs": 3, "per_device_train_batch_size": 64}
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prediction_test.txt
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no
|
| 241 |
+
yes
|
| 242 |
+
no
|
| 243 |
+
yes
|
| 244 |
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no
|
| 245 |
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yes
|
| 246 |
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yes
|
| 247 |
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yes
|
| 248 |
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yes
|
| 249 |
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no
|
| 250 |
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no
|
| 251 |
+
no
|
| 252 |
+
no
|
| 253 |
+
no
|
| 254 |
+
no
|
| 255 |
+
no
|
| 256 |
+
yes
|
| 257 |
+
yes
|
| 258 |
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no
|
| 259 |
+
no
|
| 260 |
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yes
|
| 261 |
+
yes
|
| 262 |
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no
|
| 263 |
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yes
|
| 264 |
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no
|
| 265 |
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yes
|
| 266 |
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no
|
| 267 |
+
yes
|
| 268 |
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no
|
| 269 |
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yes
|
| 270 |
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no
|
| 271 |
+
yes
|
| 272 |
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no
|
| 273 |
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no
|
| 274 |
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no
|
| 275 |
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yes
|
| 276 |
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yes
|
| 277 |
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yes
|
| 278 |
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no
|
| 279 |
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yes
|
| 280 |
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no
|
| 281 |
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no
|
| 282 |
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yes
|
| 283 |
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no
|
| 284 |
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yes
|
| 285 |
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yes
|
| 286 |
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no
|
| 287 |
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yes
|
| 288 |
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yes
|
| 289 |
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yes
|
| 290 |
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yes
|
| 291 |
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yes
|
| 292 |
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yes
|
| 293 |
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no
|
| 294 |
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no
|
| 295 |
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yes
|
| 296 |
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no
|
| 297 |
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yes
|
| 298 |
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no
|
| 299 |
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no
|
| 300 |
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no
|
| 301 |
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no
|
| 302 |
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yes
|
| 303 |
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yes
|
| 304 |
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no
|
| 305 |
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no
|
| 306 |
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yes
|
| 307 |
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yes
|
| 308 |
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yes
|
| 309 |
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no
|
| 310 |
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yes
|
| 311 |
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no
|
| 312 |
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no
|
| 313 |
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yes
|
| 314 |
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yes
|
| 315 |
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no
|
| 316 |
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yes
|
| 317 |
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no
|
| 318 |
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no
|
| 319 |
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no
|
| 320 |
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no
|
| 321 |
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yes
|
| 322 |
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yes
|
| 323 |
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yes
|
| 324 |
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no
|
| 325 |
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yes
|
| 326 |
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yes
|
| 327 |
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yes
|
| 328 |
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yes
|
| 329 |
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yes
|
| 330 |
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no
|
| 331 |
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no
|
| 332 |
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yes
|
| 333 |
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no
|
| 334 |
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no
|
| 335 |
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no
|
| 336 |
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yes
|
| 337 |
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yes
|
| 338 |
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yes
|
| 339 |
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yes
|
| 340 |
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no
|
| 341 |
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yes
|
| 342 |
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no
|
| 343 |
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yes
|
| 344 |
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yes
|
| 345 |
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no
|
| 346 |
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no
|
| 347 |
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no
|
| 348 |
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yes
|
| 349 |
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no
|
| 350 |
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no
|
| 351 |
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no
|
| 352 |
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no
|
| 353 |
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no
|
| 354 |
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no
|
| 355 |
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no
|
| 356 |
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yes
|
| 357 |
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no
|
| 358 |
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no
|
| 359 |
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yes
|
| 360 |
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no
|
| 361 |
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no
|
| 362 |
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no
|
| 363 |
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yes
|
| 364 |
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no
|
| 365 |
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yes
|
| 366 |
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no
|
| 367 |
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yes
|
| 368 |
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no
|
| 369 |
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no
|
| 370 |
+
no
|
| 371 |
+
no
|
| 372 |
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no
|
| 373 |
+
no
|
| 374 |
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no
|
| 375 |
+
no
|
| 376 |
+
no
|
| 377 |
+
no
|
| 378 |
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yes
|
| 379 |
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no
|
| 380 |
+
no
|
| 381 |
+
no
|
| 382 |
+
no
|
| 383 |
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no
|
| 384 |
+
no
|
| 385 |
+
no
|
| 386 |
+
no
|
| 387 |
+
no
|
| 388 |
+
no
|
| 389 |
+
yes
|
| 390 |
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no
|
| 391 |
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no
|
| 392 |
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yes
|
| 393 |
+
yes
|
| 394 |
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no
|
| 395 |
+
no
|
| 396 |
+
no
|
| 397 |
+
no
|
| 398 |
+
no
|
| 399 |
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yes
|
| 400 |
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no
|
| 401 |
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no
|
| 402 |
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no
|
| 403 |
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no
|
| 404 |
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yes
|
| 405 |
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yes
|
| 406 |
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yes
|
| 407 |
+
yes
|