Push model using huggingface_hub.
Browse files- 1_Pooling/config.json +1 -1
- README.md +209 -492
- config.json +12 -14
- config_setfit.json +2 -2
- model.safetensors +2 -2
- model_head.pkl +2 -2
- sentence_bert_config.json +1 -1
- special_tokens_map.json +19 -5
- tokenizer.json +0 -0
- tokenizer_config.json +26 -18
- vocab.txt +5 -0
1_Pooling/config.json
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{
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-
"word_embedding_dimension":
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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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{
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+
"word_embedding_dimension": 768,
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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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README.md
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@@ -5,27 +5,35 @@ tags:
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- text-classification
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- generated_from_setfit_trainer
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widget:
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- text:
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user
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metrics:
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- accuracy
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pipeline_tag: text-classification
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library_name: setfit
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inference: false
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base_model: sentence-transformers/all-
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model-index:
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- name: SetFit with sentence-transformers/all-
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results:
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- task:
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type: text-classification
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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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# SetFit with sentence-transformers/all-
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-
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-
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The model has been trained using an efficient few-shot learning technique that involves:
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### Model Description
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- **Model Type:** SetFit
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- **Sentence Transformer body:** [sentence-transformers/all-
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- **Classification head:** a ClassifierChain instance
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-
- **Maximum Sequence Length:**
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<!-- - **Number of Classes:** Unknown -->
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<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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<!-- - **Language:** Unknown -->
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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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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("Hulyyy/req-quality-setfit-2")
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# Run inference
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preds = model("
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```
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<!--
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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 | 42.
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### Training Hyperparameters
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- batch_size: (
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- num_epochs: (
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- max_steps: -1
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- sampling_strategy: oversampling
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- num_iterations:
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- body_learning_rate: (3e-05, 3e-05)
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- head_learning_rate: 3e-05
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- loss: CosineSimilarityLoss
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- load_best_model_at_end: False
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### Training Results
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-
| 1.2463 | 14450 | 0.0458 | - |
|
| 441 |
-
| 1.2506 | 14500 | 0.0476 | - |
|
| 442 |
-
| 1.2550 | 14550 | 0.046 | - |
|
| 443 |
-
| 1.2593 | 14600 | 0.0471 | - |
|
| 444 |
-
| 1.2636 | 14650 | 0.0478 | - |
|
| 445 |
-
| 1.2679 | 14700 | 0.047 | - |
|
| 446 |
-
| 1.2722 | 14750 | 0.0464 | - |
|
| 447 |
-
| 1.2765 | 14800 | 0.0471 | - |
|
| 448 |
-
| 1.2808 | 14850 | 0.0477 | - |
|
| 449 |
-
| 1.2851 | 14900 | 0.0459 | - |
|
| 450 |
-
| 1.2895 | 14950 | 0.0464 | - |
|
| 451 |
-
| 1.2938 | 15000 | 0.0474 | - |
|
| 452 |
-
| 1.2981 | 15050 | 0.0457 | - |
|
| 453 |
-
| 1.3024 | 15100 | 0.0468 | - |
|
| 454 |
-
| 1.3067 | 15150 | 0.0462 | - |
|
| 455 |
-
| 1.3110 | 15200 | 0.047 | - |
|
| 456 |
-
| 1.3153 | 15250 | 0.0472 | - |
|
| 457 |
-
| 1.3196 | 15300 | 0.0474 | - |
|
| 458 |
-
| 1.3240 | 15350 | 0.0468 | - |
|
| 459 |
-
| 1.3283 | 15400 | 0.0479 | - |
|
| 460 |
-
| 1.3326 | 15450 | 0.0457 | - |
|
| 461 |
-
| 1.3369 | 15500 | 0.0474 | - |
|
| 462 |
-
| 1.3412 | 15550 | 0.0471 | - |
|
| 463 |
-
| 1.3455 | 15600 | 0.047 | - |
|
| 464 |
-
| 1.3498 | 15650 | 0.0469 | - |
|
| 465 |
-
| 1.3541 | 15700 | 0.0468 | - |
|
| 466 |
-
| 1.3585 | 15750 | 0.0457 | - |
|
| 467 |
-
| 1.3628 | 15800 | 0.0489 | - |
|
| 468 |
-
| 1.3671 | 15850 | 0.0468 | - |
|
| 469 |
-
| 1.3714 | 15900 | 0.0451 | - |
|
| 470 |
-
| 1.3757 | 15950 | 0.0483 | - |
|
| 471 |
-
| 1.3800 | 16000 | 0.0454 | - |
|
| 472 |
-
| 1.3843 | 16050 | 0.0468 | - |
|
| 473 |
-
| 1.3886 | 16100 | 0.046 | - |
|
| 474 |
-
| 1.3930 | 16150 | 0.0465 | - |
|
| 475 |
-
| 1.3973 | 16200 | 0.047 | - |
|
| 476 |
-
| 1.4016 | 16250 | 0.0471 | - |
|
| 477 |
-
| 1.4059 | 16300 | 0.0464 | - |
|
| 478 |
-
| 1.4102 | 16350 | 0.0448 | - |
|
| 479 |
-
| 1.4145 | 16400 | 0.0468 | - |
|
| 480 |
-
| 1.4188 | 16450 | 0.0455 | - |
|
| 481 |
-
| 1.4231 | 16500 | 0.0476 | - |
|
| 482 |
-
| 1.4275 | 16550 | 0.0458 | - |
|
| 483 |
-
| 1.4318 | 16600 | 0.0464 | - |
|
| 484 |
-
| 1.4361 | 16650 | 0.0466 | - |
|
| 485 |
-
| 1.4404 | 16700 | 0.0451 | - |
|
| 486 |
-
| 1.4447 | 16750 | 0.0459 | - |
|
| 487 |
-
| 1.4490 | 16800 | 0.0465 | - |
|
| 488 |
-
| 1.4533 | 16850 | 0.0462 | - |
|
| 489 |
-
| 1.4577 | 16900 | 0.0468 | - |
|
| 490 |
-
| 1.4620 | 16950 | 0.0478 | - |
|
| 491 |
-
| 1.4663 | 17000 | 0.0449 | - |
|
| 492 |
-
| 1.4706 | 17050 | 0.0458 | - |
|
| 493 |
-
| 1.4749 | 17100 | 0.0448 | - |
|
| 494 |
-
| 1.4792 | 17150 | 0.0458 | - |
|
| 495 |
-
| 1.4835 | 17200 | 0.0457 | - |
|
| 496 |
-
| 1.4878 | 17250 | 0.0462 | - |
|
| 497 |
-
| 1.4922 | 17300 | 0.0449 | - |
|
| 498 |
-
| 1.4965 | 17350 | 0.047 | - |
|
| 499 |
-
| 1.5008 | 17400 | 0.0467 | - |
|
| 500 |
-
| 1.5051 | 17450 | 0.0476 | - |
|
| 501 |
-
| 1.5094 | 17500 | 0.0466 | - |
|
| 502 |
-
| 1.5137 | 17550 | 0.0462 | - |
|
| 503 |
-
| 1.5180 | 17600 | 0.0472 | - |
|
| 504 |
-
| 1.5223 | 17650 | 0.0475 | - |
|
| 505 |
-
| 1.5267 | 17700 | 0.0468 | - |
|
| 506 |
-
| 1.5310 | 17750 | 0.0465 | - |
|
| 507 |
-
| 1.5353 | 17800 | 0.0466 | - |
|
| 508 |
-
| 1.5396 | 17850 | 0.0451 | - |
|
| 509 |
-
| 1.5439 | 17900 | 0.0454 | - |
|
| 510 |
-
| 1.5482 | 17950 | 0.0456 | - |
|
| 511 |
-
| 1.5525 | 18000 | 0.0451 | - |
|
| 512 |
-
| 1.5568 | 18050 | 0.0452 | - |
|
| 513 |
-
| 1.5612 | 18100 | 0.0456 | - |
|
| 514 |
-
| 1.5655 | 18150 | 0.0459 | - |
|
| 515 |
-
| 1.5698 | 18200 | 0.0462 | - |
|
| 516 |
-
| 1.5741 | 18250 | 0.0468 | - |
|
| 517 |
-
| 1.5784 | 18300 | 0.045 | - |
|
| 518 |
-
| 1.5827 | 18350 | 0.0467 | - |
|
| 519 |
-
| 1.5870 | 18400 | 0.0463 | - |
|
| 520 |
-
| 1.5913 | 18450 | 0.0476 | - |
|
| 521 |
-
| 1.5957 | 18500 | 0.0456 | - |
|
| 522 |
-
| 1.6000 | 18550 | 0.046 | - |
|
| 523 |
-
| 1.6043 | 18600 | 0.0473 | - |
|
| 524 |
-
| 1.6086 | 18650 | 0.0453 | - |
|
| 525 |
-
| 1.6129 | 18700 | 0.0461 | - |
|
| 526 |
-
| 1.6172 | 18750 | 0.0458 | - |
|
| 527 |
-
| 1.6215 | 18800 | 0.0458 | - |
|
| 528 |
-
| 1.6258 | 18850 | 0.0462 | - |
|
| 529 |
-
| 1.6302 | 18900 | 0.0471 | - |
|
| 530 |
-
| 1.6345 | 18950 | 0.0453 | - |
|
| 531 |
-
| 1.6388 | 19000 | 0.0465 | - |
|
| 532 |
-
| 1.6431 | 19050 | 0.0456 | - |
|
| 533 |
-
| 1.6474 | 19100 | 0.0469 | - |
|
| 534 |
-
| 1.6517 | 19150 | 0.0462 | - |
|
| 535 |
-
| 1.6560 | 19200 | 0.0459 | - |
|
| 536 |
-
| 1.6603 | 19250 | 0.0462 | - |
|
| 537 |
-
| 1.6647 | 19300 | 0.0461 | - |
|
| 538 |
-
| 1.6690 | 19350 | 0.0475 | - |
|
| 539 |
-
| 1.6733 | 19400 | 0.0471 | - |
|
| 540 |
-
| 1.6776 | 19450 | 0.0457 | - |
|
| 541 |
-
| 1.6819 | 19500 | 0.0461 | - |
|
| 542 |
-
| 1.6862 | 19550 | 0.0471 | - |
|
| 543 |
-
| 1.6905 | 19600 | 0.046 | - |
|
| 544 |
-
| 1.6948 | 19650 | 0.0456 | - |
|
| 545 |
-
| 1.6992 | 19700 | 0.046 | - |
|
| 546 |
-
| 1.7035 | 19750 | 0.0466 | - |
|
| 547 |
-
| 1.7078 | 19800 | 0.0478 | - |
|
| 548 |
-
| 1.7121 | 19850 | 0.0467 | - |
|
| 549 |
-
| 1.7164 | 19900 | 0.0462 | - |
|
| 550 |
-
| 1.7207 | 19950 | 0.0474 | - |
|
| 551 |
-
| 1.7250 | 20000 | 0.047 | - |
|
| 552 |
-
| 1.7293 | 20050 | 0.0464 | - |
|
| 553 |
-
| 1.7337 | 20100 | 0.0464 | - |
|
| 554 |
-
| 1.7380 | 20150 | 0.0466 | - |
|
| 555 |
-
| 1.7423 | 20200 | 0.0468 | - |
|
| 556 |
-
| 1.7466 | 20250 | 0.0449 | - |
|
| 557 |
-
| 1.7509 | 20300 | 0.0467 | - |
|
| 558 |
-
| 1.7552 | 20350 | 0.0459 | - |
|
| 559 |
-
| 1.7595 | 20400 | 0.0461 | - |
|
| 560 |
-
| 1.7638 | 20450 | 0.0463 | - |
|
| 561 |
-
| 1.7682 | 20500 | 0.0458 | - |
|
| 562 |
-
| 1.7725 | 20550 | 0.0464 | - |
|
| 563 |
-
| 1.7768 | 20600 | 0.0478 | - |
|
| 564 |
-
| 1.7811 | 20650 | 0.0485 | - |
|
| 565 |
-
| 1.7854 | 20700 | 0.0458 | - |
|
| 566 |
-
| 1.7897 | 20750 | 0.0472 | - |
|
| 567 |
-
| 1.7940 | 20800 | 0.0444 | - |
|
| 568 |
-
| 1.7983 | 20850 | 0.0467 | - |
|
| 569 |
-
| 1.8027 | 20900 | 0.0467 | - |
|
| 570 |
-
| 1.8070 | 20950 | 0.0458 | - |
|
| 571 |
-
| 1.8113 | 21000 | 0.0467 | - |
|
| 572 |
-
| 1.8156 | 21050 | 0.0464 | - |
|
| 573 |
-
| 1.8199 | 21100 | 0.0463 | - |
|
| 574 |
-
| 1.8242 | 21150 | 0.0467 | - |
|
| 575 |
-
| 1.8285 | 21200 | 0.0465 | - |
|
| 576 |
-
| 1.8328 | 21250 | 0.0455 | - |
|
| 577 |
-
| 1.8372 | 21300 | 0.0462 | - |
|
| 578 |
-
| 1.8415 | 21350 | 0.0471 | - |
|
| 579 |
-
| 1.8458 | 21400 | 0.0452 | - |
|
| 580 |
-
| 1.8501 | 21450 | 0.0464 | - |
|
| 581 |
-
| 1.8544 | 21500 | 0.0464 | - |
|
| 582 |
-
| 1.8587 | 21550 | 0.0464 | - |
|
| 583 |
-
| 1.8630 | 21600 | 0.046 | - |
|
| 584 |
-
| 1.8673 | 21650 | 0.0454 | - |
|
| 585 |
-
| 1.8717 | 21700 | 0.0464 | - |
|
| 586 |
-
| 1.8760 | 21750 | 0.0458 | - |
|
| 587 |
-
| 1.8803 | 21800 | 0.0448 | - |
|
| 588 |
-
| 1.8846 | 21850 | 0.0462 | - |
|
| 589 |
-
| 1.8889 | 21900 | 0.0465 | - |
|
| 590 |
-
| 1.8932 | 21950 | 0.0461 | - |
|
| 591 |
-
| 1.8975 | 22000 | 0.0456 | - |
|
| 592 |
-
| 1.9018 | 22050 | 0.0466 | - |
|
| 593 |
-
| 1.9062 | 22100 | 0.0462 | - |
|
| 594 |
-
| 1.9105 | 22150 | 0.0462 | - |
|
| 595 |
-
| 1.9148 | 22200 | 0.0469 | - |
|
| 596 |
-
| 1.9191 | 22250 | 0.0465 | - |
|
| 597 |
-
| 1.9234 | 22300 | 0.0457 | - |
|
| 598 |
-
| 1.9277 | 22350 | 0.0464 | - |
|
| 599 |
-
| 1.9320 | 22400 | 0.0472 | - |
|
| 600 |
-
| 1.9363 | 22450 | 0.0472 | - |
|
| 601 |
-
| 1.9407 | 22500 | 0.0461 | - |
|
| 602 |
-
| 1.9450 | 22550 | 0.0454 | - |
|
| 603 |
-
| 1.9493 | 22600 | 0.0465 | - |
|
| 604 |
-
| 1.9536 | 22650 | 0.0461 | - |
|
| 605 |
-
| 1.9579 | 22700 | 0.0467 | - |
|
| 606 |
-
| 1.9622 | 22750 | 0.0467 | - |
|
| 607 |
-
| 1.9665 | 22800 | 0.0459 | - |
|
| 608 |
-
| 1.9708 | 22850 | 0.0465 | - |
|
| 609 |
-
| 1.9752 | 22900 | 0.0458 | - |
|
| 610 |
-
| 1.9795 | 22950 | 0.046 | - |
|
| 611 |
-
| 1.9838 | 23000 | 0.0468 | - |
|
| 612 |
-
| 1.9881 | 23050 | 0.0455 | - |
|
| 613 |
-
| 1.9924 | 23100 | 0.0458 | - |
|
| 614 |
-
| 1.9967 | 23150 | 0.0477 | - |
|
| 615 |
|
| 616 |
### Framework Versions
|
| 617 |
- Python: 3.13.7
|
|
|
|
| 5 |
- text-classification
|
| 6 |
- generated_from_setfit_trainer
|
| 7 |
widget:
|
| 8 |
+
- text: The system shall provide the concept of User Profile. The user profile contains
|
| 9 |
+
the user-specific configurable parameters of the system. The user profile is associated
|
| 10 |
+
with one and only one user that is registered in the system (has a user name and
|
| 11 |
+
a password).
|
| 12 |
+
- text: 'Using familiar terminology for navigation links: Navigation links particularly
|
| 13 |
+
links representing the main navigation structure shoul`d be labelled with terms
|
| 14 |
+
that are familiar to the user, based on his/her general knowledge, prior experience
|
| 15 |
+
in the application domain or experience of using other systems.'
|
| 16 |
+
- text: The System must provide End User and Administrator functions which are easy
|
| 17 |
+
to use and intuitive throughout.
|
| 18 |
+
- text: Systems supporting OM should be able to provide the aggregate data necessary
|
| 19 |
+
for health event monitoring to systems that support response tracking, such as
|
| 20 |
+
the number of suspect cases, number of persons under isolation or quarantine,
|
| 21 |
+
and the number of patients receiving countermeasures.
|
| 22 |
+
- text: 'Systems supporting OM must have the capability to capture data about any
|
| 23 |
+
animals involved in an OM investigation, including: type (dog, monkey, etc), age,
|
| 24 |
+
gender, owner''s name and address, color, weight, and species. A Subject ID should
|
| 25 |
+
also be collected for animals in an OM investigation. It may be a challenge to
|
| 26 |
+
ensure unambiguous identification because demographic details of an animal are
|
| 27 |
+
not easily identified; therefore, animals involved in investigations may need
|
| 28 |
+
to be tagged.'
|
| 29 |
metrics:
|
| 30 |
- accuracy
|
| 31 |
pipeline_tag: text-classification
|
| 32 |
library_name: setfit
|
| 33 |
inference: false
|
| 34 |
+
base_model: sentence-transformers/all-mpnet-base-v2
|
| 35 |
model-index:
|
| 36 |
+
- name: SetFit with sentence-transformers/all-mpnet-base-v2
|
| 37 |
results:
|
| 38 |
- task:
|
| 39 |
type: text-classification
|
|
|
|
| 44 |
split: test
|
| 45 |
metrics:
|
| 46 |
- type: accuracy
|
| 47 |
+
value: 0.6060606060606061
|
| 48 |
name: Accuracy
|
| 49 |
---
|
| 50 |
|
| 51 |
+
# SetFit with sentence-transformers/all-mpnet-base-v2
|
| 52 |
|
| 53 |
+
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) as the Sentence Transformer embedding model. A ClassifierChain instance is used for classification.
|
| 54 |
|
| 55 |
The model has been trained using an efficient few-shot learning technique that involves:
|
| 56 |
|
|
|
|
| 61 |
|
| 62 |
### Model Description
|
| 63 |
- **Model Type:** SetFit
|
| 64 |
+
- **Sentence Transformer body:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)
|
| 65 |
- **Classification head:** a ClassifierChain instance
|
| 66 |
+
- **Maximum Sequence Length:** 384 tokens
|
| 67 |
<!-- - **Number of Classes:** Unknown -->
|
| 68 |
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
|
| 69 |
<!-- - **Language:** Unknown -->
|
|
|
|
| 80 |
### Metrics
|
| 81 |
| Label | Accuracy |
|
| 82 |
|:--------|:---------|
|
| 83 |
+
| **all** | 0.6061 |
|
| 84 |
|
| 85 |
## Uses
|
| 86 |
|
|
|
|
| 100 |
# Download from the 🤗 Hub
|
| 101 |
model = SetFitModel.from_pretrained("Hulyyy/req-quality-setfit-2")
|
| 102 |
# Run inference
|
| 103 |
+
preds = model("The System must provide End User and Administrator functions which are easy to use and intuitive throughout.")
|
| 104 |
```
|
| 105 |
|
| 106 |
<!--
|
|
|
|
| 132 |
### Training Set Metrics
|
| 133 |
| Training set | Min | Median | Max |
|
| 134 |
|:-------------|:----|:--------|:-----|
|
| 135 |
+
| Word count | 4 | 42.3066 | 1112 |
|
| 136 |
|
| 137 |
### Training Hyperparameters
|
| 138 |
+
- batch_size: (32, 32)
|
| 139 |
+
- num_epochs: (1, 1)
|
| 140 |
- max_steps: -1
|
| 141 |
- sampling_strategy: oversampling
|
| 142 |
+
- num_iterations: 100
|
| 143 |
- body_learning_rate: (3e-05, 3e-05)
|
| 144 |
- head_learning_rate: 3e-05
|
| 145 |
- loss: CosineSimilarityLoss
|
|
|
|
| 154 |
- load_best_model_at_end: False
|
| 155 |
|
| 156 |
### Training Results
|
| 157 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
| 158 |
+
|:------:|:----:|:-------------:|:---------------:|
|
| 159 |
+
| 0.0001 | 1 | 0.3717 | - |
|
| 160 |
+
| 0.0058 | 50 | 0.3079 | - |
|
| 161 |
+
| 0.0116 | 100 | 0.2539 | - |
|
| 162 |
+
| 0.0174 | 150 | 0.2455 | - |
|
| 163 |
+
| 0.0231 | 200 | 0.2352 | - |
|
| 164 |
+
| 0.0289 | 250 | 0.2362 | - |
|
| 165 |
+
| 0.0347 | 300 | 0.2309 | - |
|
| 166 |
+
| 0.0405 | 350 | 0.2211 | - |
|
| 167 |
+
| 0.0463 | 400 | 0.2072 | - |
|
| 168 |
+
| 0.0521 | 450 | 0.2004 | - |
|
| 169 |
+
| 0.0578 | 500 | 0.1837 | - |
|
| 170 |
+
| 0.0636 | 550 | 0.1768 | - |
|
| 171 |
+
| 0.0694 | 600 | 0.1702 | - |
|
| 172 |
+
| 0.0752 | 650 | 0.1522 | - |
|
| 173 |
+
| 0.0810 | 700 | 0.1438 | - |
|
| 174 |
+
| 0.0868 | 750 | 0.141 | - |
|
| 175 |
+
| 0.0925 | 800 | 0.138 | - |
|
| 176 |
+
| 0.0983 | 850 | 0.1319 | - |
|
| 177 |
+
| 0.1041 | 900 | 0.1325 | - |
|
| 178 |
+
| 0.1099 | 950 | 0.1205 | - |
|
| 179 |
+
| 0.1157 | 1000 | 0.1146 | - |
|
| 180 |
+
| 0.1215 | 1050 | 0.1097 | - |
|
| 181 |
+
| 0.1273 | 1100 | 0.1171 | - |
|
| 182 |
+
| 0.1330 | 1150 | 0.1009 | - |
|
| 183 |
+
| 0.1388 | 1200 | 0.0917 | - |
|
| 184 |
+
| 0.1446 | 1250 | 0.0952 | - |
|
| 185 |
+
| 0.1504 | 1300 | 0.0896 | - |
|
| 186 |
+
| 0.1562 | 1350 | 0.0874 | - |
|
| 187 |
+
| 0.1620 | 1400 | 0.0884 | - |
|
| 188 |
+
| 0.1677 | 1450 | 0.0795 | - |
|
| 189 |
+
| 0.1735 | 1500 | 0.0849 | - |
|
| 190 |
+
| 0.1793 | 1550 | 0.0764 | - |
|
| 191 |
+
| 0.1851 | 1600 | 0.0776 | - |
|
| 192 |
+
| 0.1909 | 1650 | 0.0703 | - |
|
| 193 |
+
| 0.1967 | 1700 | 0.0649 | - |
|
| 194 |
+
| 0.2025 | 1750 | 0.0677 | - |
|
| 195 |
+
| 0.2082 | 1800 | 0.0677 | - |
|
| 196 |
+
| 0.2140 | 1850 | 0.0689 | - |
|
| 197 |
+
| 0.2198 | 1900 | 0.0675 | - |
|
| 198 |
+
| 0.2256 | 1950 | 0.064 | - |
|
| 199 |
+
| 0.2314 | 2000 | 0.0606 | - |
|
| 200 |
+
| 0.2372 | 2050 | 0.0606 | - |
|
| 201 |
+
| 0.2429 | 2100 | 0.0625 | - |
|
| 202 |
+
| 0.2487 | 2150 | 0.061 | - |
|
| 203 |
+
| 0.2545 | 2200 | 0.0608 | - |
|
| 204 |
+
| 0.2603 | 2250 | 0.0556 | - |
|
| 205 |
+
| 0.2661 | 2300 | 0.0559 | - |
|
| 206 |
+
| 0.2719 | 2350 | 0.0517 | - |
|
| 207 |
+
| 0.2776 | 2400 | 0.0533 | - |
|
| 208 |
+
| 0.2834 | 2450 | 0.0511 | - |
|
| 209 |
+
| 0.2892 | 2500 | 0.0568 | - |
|
| 210 |
+
| 0.2950 | 2550 | 0.0516 | - |
|
| 211 |
+
| 0.3008 | 2600 | 0.0498 | - |
|
| 212 |
+
| 0.3066 | 2650 | 0.0464 | - |
|
| 213 |
+
| 0.3124 | 2700 | 0.0503 | - |
|
| 214 |
+
| 0.3181 | 2750 | 0.0491 | - |
|
| 215 |
+
| 0.3239 | 2800 | 0.0488 | - |
|
| 216 |
+
| 0.3297 | 2850 | 0.0505 | - |
|
| 217 |
+
| 0.3355 | 2900 | 0.0506 | - |
|
| 218 |
+
| 0.3413 | 2950 | 0.0494 | - |
|
| 219 |
+
| 0.3471 | 3000 | 0.048 | - |
|
| 220 |
+
| 0.3528 | 3050 | 0.0471 | - |
|
| 221 |
+
| 0.3586 | 3100 | 0.0471 | - |
|
| 222 |
+
| 0.3644 | 3150 | 0.046 | - |
|
| 223 |
+
| 0.3702 | 3200 | 0.0456 | - |
|
| 224 |
+
| 0.3760 | 3250 | 0.0531 | - |
|
| 225 |
+
| 0.3818 | 3300 | 0.0458 | - |
|
| 226 |
+
| 0.3876 | 3350 | 0.0442 | - |
|
| 227 |
+
| 0.3933 | 3400 | 0.0459 | - |
|
| 228 |
+
| 0.3991 | 3450 | 0.045 | - |
|
| 229 |
+
| 0.4049 | 3500 | 0.0435 | - |
|
| 230 |
+
| 0.4107 | 3550 | 0.0446 | - |
|
| 231 |
+
| 0.4165 | 3600 | 0.0516 | - |
|
| 232 |
+
| 0.4223 | 3650 | 0.0459 | - |
|
| 233 |
+
| 0.4280 | 3700 | 0.0469 | - |
|
| 234 |
+
| 0.4338 | 3750 | 0.0446 | - |
|
| 235 |
+
| 0.4396 | 3800 | 0.0435 | - |
|
| 236 |
+
| 0.4454 | 3850 | 0.0459 | - |
|
| 237 |
+
| 0.4512 | 3900 | 0.0444 | - |
|
| 238 |
+
| 0.4570 | 3950 | 0.0434 | - |
|
| 239 |
+
| 0.4627 | 4000 | 0.0427 | - |
|
| 240 |
+
| 0.4685 | 4050 | 0.0418 | - |
|
| 241 |
+
| 0.4743 | 4100 | 0.0423 | - |
|
| 242 |
+
| 0.4801 | 4150 | 0.0441 | - |
|
| 243 |
+
| 0.4859 | 4200 | 0.0466 | - |
|
| 244 |
+
| 0.4917 | 4250 | 0.0463 | - |
|
| 245 |
+
| 0.4975 | 4300 | 0.0455 | - |
|
| 246 |
+
| 0.5032 | 4350 | 0.0471 | - |
|
| 247 |
+
| 0.5090 | 4400 | 0.0441 | - |
|
| 248 |
+
| 0.5148 | 4450 | 0.0431 | - |
|
| 249 |
+
| 0.5206 | 4500 | 0.0415 | - |
|
| 250 |
+
| 0.5264 | 4550 | 0.0452 | - |
|
| 251 |
+
| 0.5322 | 4600 | 0.0425 | - |
|
| 252 |
+
| 0.5379 | 4650 | 0.0453 | - |
|
| 253 |
+
| 0.5437 | 4700 | 0.0444 | - |
|
| 254 |
+
| 0.5495 | 4750 | 0.0468 | - |
|
| 255 |
+
| 0.5553 | 4800 | 0.0435 | - |
|
| 256 |
+
| 0.5611 | 4850 | 0.0406 | - |
|
| 257 |
+
| 0.5669 | 4900 | 0.0434 | - |
|
| 258 |
+
| 0.5727 | 4950 | 0.0425 | - |
|
| 259 |
+
| 0.5784 | 5000 | 0.0442 | - |
|
| 260 |
+
| 0.5842 | 5050 | 0.0448 | - |
|
| 261 |
+
| 0.5900 | 5100 | 0.0395 | - |
|
| 262 |
+
| 0.5958 | 5150 | 0.0426 | - |
|
| 263 |
+
| 0.6016 | 5200 | 0.0439 | - |
|
| 264 |
+
| 0.6074 | 5250 | 0.0418 | - |
|
| 265 |
+
| 0.6131 | 5300 | 0.0407 | - |
|
| 266 |
+
| 0.6189 | 5350 | 0.0462 | - |
|
| 267 |
+
| 0.6247 | 5400 | 0.0396 | - |
|
| 268 |
+
| 0.6305 | 5450 | 0.0424 | - |
|
| 269 |
+
| 0.6363 | 5500 | 0.0417 | - |
|
| 270 |
+
| 0.6421 | 5550 | 0.0428 | - |
|
| 271 |
+
| 0.6478 | 5600 | 0.0411 | - |
|
| 272 |
+
| 0.6536 | 5650 | 0.0421 | - |
|
| 273 |
+
| 0.6594 | 5700 | 0.0426 | - |
|
| 274 |
+
| 0.6652 | 5750 | 0.0454 | - |
|
| 275 |
+
| 0.6710 | 5800 | 0.043 | - |
|
| 276 |
+
| 0.6768 | 5850 | 0.0418 | - |
|
| 277 |
+
| 0.6826 | 5900 | 0.0453 | - |
|
| 278 |
+
| 0.6883 | 5950 | 0.0393 | - |
|
| 279 |
+
| 0.6941 | 6000 | 0.0433 | - |
|
| 280 |
+
| 0.6999 | 6050 | 0.0448 | - |
|
| 281 |
+
| 0.7057 | 6100 | 0.0439 | - |
|
| 282 |
+
| 0.7115 | 6150 | 0.0428 | - |
|
| 283 |
+
| 0.7173 | 6200 | 0.0431 | - |
|
| 284 |
+
| 0.7230 | 6250 | 0.0443 | - |
|
| 285 |
+
| 0.7288 | 6300 | 0.0409 | - |
|
| 286 |
+
| 0.7346 | 6350 | 0.0397 | - |
|
| 287 |
+
| 0.7404 | 6400 | 0.0408 | - |
|
| 288 |
+
| 0.7462 | 6450 | 0.0443 | - |
|
| 289 |
+
| 0.7520 | 6500 | 0.0401 | - |
|
| 290 |
+
| 0.7578 | 6550 | 0.0426 | - |
|
| 291 |
+
| 0.7635 | 6600 | 0.0404 | - |
|
| 292 |
+
| 0.7693 | 6650 | 0.0414 | - |
|
| 293 |
+
| 0.7751 | 6700 | 0.0396 | - |
|
| 294 |
+
| 0.7809 | 6750 | 0.0418 | - |
|
| 295 |
+
| 0.7867 | 6800 | 0.0403 | - |
|
| 296 |
+
| 0.7925 | 6850 | 0.0416 | - |
|
| 297 |
+
| 0.7982 | 6900 | 0.0404 | - |
|
| 298 |
+
| 0.8040 | 6950 | 0.0411 | - |
|
| 299 |
+
| 0.8098 | 7000 | 0.0403 | - |
|
| 300 |
+
| 0.8156 | 7050 | 0.0388 | - |
|
| 301 |
+
| 0.8214 | 7100 | 0.0414 | - |
|
| 302 |
+
| 0.8272 | 7150 | 0.0424 | - |
|
| 303 |
+
| 0.8329 | 7200 | 0.0424 | - |
|
| 304 |
+
| 0.8387 | 7250 | 0.0437 | - |
|
| 305 |
+
| 0.8445 | 7300 | 0.0392 | - |
|
| 306 |
+
| 0.8503 | 7350 | 0.0432 | - |
|
| 307 |
+
| 0.8561 | 7400 | 0.0401 | - |
|
| 308 |
+
| 0.8619 | 7450 | 0.0392 | - |
|
| 309 |
+
| 0.8677 | 7500 | 0.0391 | - |
|
| 310 |
+
| 0.8734 | 7550 | 0.0434 | - |
|
| 311 |
+
| 0.8792 | 7600 | 0.0433 | - |
|
| 312 |
+
| 0.8850 | 7650 | 0.0436 | - |
|
| 313 |
+
| 0.8908 | 7700 | 0.0389 | - |
|
| 314 |
+
| 0.8966 | 7750 | 0.0405 | - |
|
| 315 |
+
| 0.9024 | 7800 | 0.0396 | - |
|
| 316 |
+
| 0.9081 | 7850 | 0.0423 | - |
|
| 317 |
+
| 0.9139 | 7900 | 0.0391 | - |
|
| 318 |
+
| 0.9197 | 7950 | 0.0408 | - |
|
| 319 |
+
| 0.9255 | 8000 | 0.0373 | - |
|
| 320 |
+
| 0.9313 | 8050 | 0.04 | - |
|
| 321 |
+
| 0.9371 | 8100 | 0.0371 | - |
|
| 322 |
+
| 0.9429 | 8150 | 0.0393 | - |
|
| 323 |
+
| 0.9486 | 8200 | 0.0408 | - |
|
| 324 |
+
| 0.9544 | 8250 | 0.0407 | - |
|
| 325 |
+
| 0.9602 | 8300 | 0.0413 | - |
|
| 326 |
+
| 0.9660 | 8350 | 0.038 | - |
|
| 327 |
+
| 0.9718 | 8400 | 0.0377 | - |
|
| 328 |
+
| 0.9776 | 8450 | 0.0407 | - |
|
| 329 |
+
| 0.9833 | 8500 | 0.0421 | - |
|
| 330 |
+
| 0.9891 | 8550 | 0.0408 | - |
|
| 331 |
+
| 0.9949 | 8600 | 0.0412 | - |
|
|
|
|
|
|
|
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|
| 332 |
|
| 333 |
### Framework Versions
|
| 334 |
- Python: 3.13.7
|
config.json
CHANGED
|
@@ -1,25 +1,23 @@
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
| 5 |
"attention_probs_dropout_prob": 0.1,
|
| 6 |
-
"
|
| 7 |
"dtype": "float32",
|
| 8 |
-
"
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
-
"hidden_size":
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
-
"intermediate_size":
|
| 14 |
-
"layer_norm_eps": 1e-
|
| 15 |
-
"max_position_embeddings":
|
| 16 |
-
"model_type": "
|
| 17 |
"num_attention_heads": 12,
|
| 18 |
-
"num_hidden_layers":
|
| 19 |
-
"pad_token_id":
|
| 20 |
-
"
|
| 21 |
"transformers_version": "4.57.0",
|
| 22 |
-
"
|
| 23 |
-
"use_cache": true,
|
| 24 |
-
"vocab_size": 30522
|
| 25 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
+
"MPNetModel"
|
| 4 |
],
|
| 5 |
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"bos_token_id": 0,
|
| 7 |
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-05,
|
| 15 |
+
"max_position_embeddings": 514,
|
| 16 |
+
"model_type": "mpnet",
|
| 17 |
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 1,
|
| 20 |
+
"relative_attention_num_buckets": 32,
|
| 21 |
"transformers_version": "4.57.0",
|
| 22 |
+
"vocab_size": 30527
|
|
|
|
|
|
|
| 23 |
}
|
config_setfit.json
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"
|
| 4 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"normalize_embeddings": false,
|
| 3 |
+
"labels": null
|
| 4 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fad1a299bf0ca4d67dad3a52e37b61c2de3c87a675043f0a9f7ce805b292e57
|
| 3 |
+
size 437967672
|
model_head.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:586f01ee80cfb9eeecdd79592d49a615de9828d3d8d0622165adb09fc6e9260c
|
| 3 |
+
size 33649
|
sentence_bert_config.json
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"max_seq_length":
|
| 3 |
"do_lower_case": false
|
| 4 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"max_seq_length": 384,
|
| 3 |
"do_lower_case": false
|
| 4 |
}
|
special_tokens_map.json
CHANGED
|
@@ -1,27 +1,41 @@
|
|
| 1 |
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
"cls_token": {
|
| 3 |
-
"content": "
|
| 4 |
"lstrip": false,
|
| 5 |
"normalized": false,
|
| 6 |
"rstrip": false,
|
| 7 |
"single_word": false
|
| 8 |
},
|
| 9 |
-
"
|
| 10 |
-
"content": "
|
| 11 |
"lstrip": false,
|
| 12 |
"normalized": false,
|
| 13 |
"rstrip": false,
|
| 14 |
"single_word": false
|
| 15 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
"pad_token": {
|
| 17 |
-
"content": "
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
| 21 |
"single_word": false
|
| 22 |
},
|
| 23 |
"sep_token": {
|
| 24 |
-
"content": "
|
| 25 |
"lstrip": false,
|
| 26 |
"normalized": false,
|
| 27 |
"rstrip": false,
|
|
|
|
| 1 |
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
"lstrip": false,
|
| 12 |
"normalized": false,
|
| 13 |
"rstrip": false,
|
| 14 |
"single_word": false
|
| 15 |
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
| 21 |
"single_word": false
|
| 22 |
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
"lstrip": false,
|
| 33 |
"normalized": false,
|
| 34 |
"rstrip": false,
|
| 35 |
"single_word": false
|
| 36 |
},
|
| 37 |
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
"lstrip": false,
|
| 40 |
"normalized": false,
|
| 41 |
"rstrip": false,
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
CHANGED
|
@@ -1,64 +1,72 @@
|
|
| 1 |
{
|
| 2 |
"added_tokens_decoder": {
|
| 3 |
"0": {
|
| 4 |
-
"content": "
|
| 5 |
"lstrip": false,
|
| 6 |
"normalized": false,
|
| 7 |
"rstrip": false,
|
| 8 |
"single_word": false,
|
| 9 |
"special": true
|
| 10 |
},
|
| 11 |
-
"
|
| 12 |
-
"content": "
|
| 13 |
"lstrip": false,
|
| 14 |
"normalized": false,
|
| 15 |
"rstrip": false,
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
-
"
|
| 20 |
-
"content": "
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
| 23 |
"rstrip": false,
|
| 24 |
"single_word": false,
|
| 25 |
"special": true
|
| 26 |
},
|
| 27 |
-
"
|
| 28 |
-
"content": "
|
| 29 |
"lstrip": false,
|
| 30 |
-
"normalized":
|
| 31 |
"rstrip": false,
|
| 32 |
"single_word": false,
|
| 33 |
"special": true
|
| 34 |
},
|
| 35 |
-
"
|
| 36 |
-
"content": "[
|
| 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": "
|
| 46 |
-
"do_basic_tokenize": true,
|
| 47 |
"do_lower_case": true,
|
|
|
|
| 48 |
"extra_special_tokens": {},
|
| 49 |
-
"mask_token": "
|
| 50 |
"max_length": 128,
|
| 51 |
-
"model_max_length":
|
| 52 |
-
"never_split": null,
|
| 53 |
"pad_to_multiple_of": null,
|
| 54 |
-
"pad_token": "
|
| 55 |
"pad_token_type_id": 0,
|
| 56 |
"padding_side": "right",
|
| 57 |
-
"sep_token": "
|
| 58 |
"stride": 0,
|
| 59 |
"strip_accents": null,
|
| 60 |
"tokenize_chinese_chars": true,
|
| 61 |
-
"tokenizer_class": "
|
| 62 |
"truncation_side": "right",
|
| 63 |
"truncation_strategy": "longest_first",
|
| 64 |
"unk_token": "[UNK]"
|
|
|
|
| 1 |
{
|
| 2 |
"added_tokens_decoder": {
|
| 3 |
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
"lstrip": false,
|
| 6 |
"normalized": false,
|
| 7 |
"rstrip": false,
|
| 8 |
"single_word": false,
|
| 9 |
"special": true
|
| 10 |
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
"lstrip": false,
|
| 14 |
"normalized": false,
|
| 15 |
"rstrip": false,
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
| 23 |
"rstrip": false,
|
| 24 |
"single_word": false,
|
| 25 |
"special": true
|
| 26 |
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
"rstrip": false,
|
| 32 |
"single_word": false,
|
| 33 |
"special": true
|
| 34 |
},
|
| 35 |
+
"104": {
|
| 36 |
+
"content": "[UNK]",
|
| 37 |
"lstrip": false,
|
| 38 |
"normalized": false,
|
| 39 |
"rstrip": false,
|
| 40 |
"single_word": false,
|
| 41 |
"special": true
|
| 42 |
+
},
|
| 43 |
+
"30526": {
|
| 44 |
+
"content": "<mask>",
|
| 45 |
+
"lstrip": true,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
}
|
| 51 |
},
|
| 52 |
+
"bos_token": "<s>",
|
| 53 |
"clean_up_tokenization_spaces": false,
|
| 54 |
+
"cls_token": "<s>",
|
|
|
|
| 55 |
"do_lower_case": true,
|
| 56 |
+
"eos_token": "</s>",
|
| 57 |
"extra_special_tokens": {},
|
| 58 |
+
"mask_token": "<mask>",
|
| 59 |
"max_length": 128,
|
| 60 |
+
"model_max_length": 384,
|
|
|
|
| 61 |
"pad_to_multiple_of": null,
|
| 62 |
+
"pad_token": "<pad>",
|
| 63 |
"pad_token_type_id": 0,
|
| 64 |
"padding_side": "right",
|
| 65 |
+
"sep_token": "</s>",
|
| 66 |
"stride": 0,
|
| 67 |
"strip_accents": null,
|
| 68 |
"tokenize_chinese_chars": true,
|
| 69 |
+
"tokenizer_class": "MPNetTokenizer",
|
| 70 |
"truncation_side": "right",
|
| 71 |
"truncation_strategy": "longest_first",
|
| 72 |
"unk_token": "[UNK]"
|
vocab.txt
CHANGED
|
@@ -1,3 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
[PAD]
|
| 2 |
[unused0]
|
| 3 |
[unused1]
|
|
@@ -30520,3 +30524,4 @@ necessitated
|
|
| 30520 |
##：
|
| 30521 |
##？
|
| 30522 |
##～
|
|
|
|
|
|
| 1 |
+
<s>
|
| 2 |
+
<pad>
|
| 3 |
+
</s>
|
| 4 |
+
<unk>
|
| 5 |
[PAD]
|
| 6 |
[unused0]
|
| 7 |
[unused1]
|
|
|
|
| 30524 |
##：
|
| 30525 |
##？
|
| 30526 |
##～
|
| 30527 |
+
<mask>
|