Add SetFit model
Browse files- README.md +45 -1002
- config.json +1 -1
- model.safetensors +1 -1
- model_head.pkl +2 -2
README.md
CHANGED
@@ -9,16 +9,19 @@ base_model: sentence-transformers/all-roberta-large-v1
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metrics:
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- accuracy
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widget:
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- text: ' I
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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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@@ -65,19 +68,19 @@ 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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## 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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@@ -97,7 +100,7 @@ from setfit import SetFitModel
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("Omar-Nasr/setfitmodel")
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# Run inference
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preds = model(" I
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```
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<!--
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## Training Details
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### Training Set Metrics
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| Training set | Min | Median | Max
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| Word count |
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| Label | Training Sample Count |
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|:------|:----------------------|
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### Training Hyperparameters
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- batch_size: (8, 8)
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- num_epochs: (
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- max_steps: -1
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- sampling_strategy: oversampling
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- body_learning_rate: (2e-05, 1e-05)
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- load_best_model_at_end: False
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### Training Results
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| Epoch | Step
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| 0.0535 | 650 | 0.2029 | - |
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| 0.0576 | 700 | 0.2566 | - |
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| 0.0617 | 750 | 0.1106 | - |
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| 0.0658 | 800 | 0.1625 | - |
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| 0.0700 | 850 | 0.1276 | - |
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| 0.0741 | 900 | 0.1603 | - |
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| 0.0782 | 950 | 0.0294 | - |
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| 0.0823 | 1000 | 0.011 | - |
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| 0.0864 | 1050 | 0.1924 | - |
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| 0.0905 | 1100 | 0.0149 | - |
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| 0.0947 | 1150 | 0.1249 | - |
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| 0.0988 | 1200 | 0.1251 | - |
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| 0.1029 | 1250 | 0.008 | - |
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| 0.1070 | 1300 | 0.0008 | - |
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| 0.1111 | 1350 | 0.009 | - |
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| 0.1152 | 1400 | 0.0007 | - |
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| 0.1193 | 1450 | 0.0013 | - |
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| 0.1235 | 1500 | 0.0016 | - |
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| 0.1276 | 1550 | 0.0042 | - |
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| 0.1317 | 1600 | 0.0003 | - |
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| 0.1358 | 1650 | 0.0002 | - |
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| 0.1399 | 1700 | 0.0003 | - |
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| 0.1440 | 1750 | 0.0002 | - |
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| 0.1481 | 1800 | 0.0002 | - |
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| 0.1523 | 1850 | 0.0002 | - |
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| 0.1564 | 1900 | 0.0003 | - |
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| 0.1605 | 1950 | 0.0001 | - |
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| 0.1728 | 2100 | 0.0001 | - |
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| 0.1811 | 2200 | 0.0001 | - |
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| 0.1852 | 2250 | 0.0001 | - |
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| 0.1893 | 2300 | 0.0001 | - |
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| 0.1934 | 2350 | 0.0002 | - |
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| 0.1975 | 2400 | 0.0001 | - |
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| 0.2016 | 2450 | 0.0002 | - |
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| 0.2058 | 2500 | 0.0001 | - |
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| 0.2099 | 2550 | 0.0001 | - |
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| 0.2140 | 2600 | 0.0001 | - |
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| 0.2181 | 2650 | 0.0 | - |
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| 0.2222 | 2700 | 0.0001 | - |
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| 0.2263 | 2750 | 0.0001 | - |
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| 0.2305 | 2800 | 0.0001 | - |
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| 0.2346 | 2850 | 0.0 | - |
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| 0.2387 | 2900 | 0.0 | - |
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| 0.2428 | 2950 | 0.0001 | - |
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| 0.2469 | 3000 | 0.0001 | - |
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| 0.2510 | 3050 | 0.0002 | - |
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| 0.2551 | 3100 | 0.0001 | - |
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| 0.2593 | 3150 | 0.0 | - |
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| 0.2634 | 3200 | 0.0 | - |
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| 0.2675 | 3250 | 0.0001 | - |
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| 0.2716 | 3300 | 0.0001 | - |
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| 0.2757 | 3350 | 0.0 | - |
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| 0.2798 | 3400 | 0.0 | - |
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| 0.3128 | 3800 | 0.0 | - |
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| 0.3210 | 3900 | 0.0001 | - |
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| 0.3251 | 3950 | 0.0001 | - |
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| 0.3333 | 4050 | 0.0001 | - |
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| 0.3457 | 4200 | 0.482 | - |
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| 0.3498 | 4250 | 0.0384 | - |
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| 0.3539 | 4300 | 0.1998 | - |
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| 0.3580 | 4350 | 0.2232 | - |
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| 0.3621 | 4400 | 0.1794 | - |
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| 0.3663 | 4450 | 0.0911 | - |
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| 0.3704 | 4500 | 0.1016 | - |
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| 0.3745 | 4550 | 0.1266 | - |
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| 0.3786 | 4600 | 0.0004 | - |
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| 0.3827 | 4650 | 0.0005 | - |
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| 0.4321 | 5250 | 0.0 | - |
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| 0.6749 | 8200 | 0.0354 | - |
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423 |
-
| 1.0782 | 13100 | 0.0 | - |
|
424 |
-
| 1.0823 | 13150 | 0.0 | - |
|
425 |
-
| 1.0864 | 13200 | 0.0 | - |
|
426 |
-
| 1.0905 | 13250 | 0.0 | - |
|
427 |
-
| 1.0947 | 13300 | 0.0 | - |
|
428 |
-
| 1.0988 | 13350 | 0.0 | - |
|
429 |
-
| 1.1029 | 13400 | 0.0 | - |
|
430 |
-
| 1.1070 | 13450 | 0.0 | - |
|
431 |
-
| 1.1111 | 13500 | 0.0 | - |
|
432 |
-
| 1.1152 | 13550 | 0.0 | - |
|
433 |
-
| 1.1193 | 13600 | 0.0 | - |
|
434 |
-
| 1.1235 | 13650 | 0.0 | - |
|
435 |
-
| 1.1276 | 13700 | 0.0 | - |
|
436 |
-
| 1.1317 | 13750 | 0.0 | - |
|
437 |
-
| 1.1358 | 13800 | 0.0 | - |
|
438 |
-
| 1.1399 | 13850 | 0.0 | - |
|
439 |
-
| 1.1440 | 13900 | 0.0 | - |
|
440 |
-
| 1.1481 | 13950 | 0.0 | - |
|
441 |
-
| 1.1523 | 14000 | 0.0 | - |
|
442 |
-
| 1.1564 | 14050 | 0.0 | - |
|
443 |
-
| 1.1605 | 14100 | 0.0 | - |
|
444 |
-
| 1.1646 | 14150 | 0.0 | - |
|
445 |
-
| 1.1687 | 14200 | 0.0 | - |
|
446 |
-
| 1.1728 | 14250 | 0.0 | - |
|
447 |
-
| 1.1770 | 14300 | 0.0 | - |
|
448 |
-
| 1.1811 | 14350 | 0.0 | - |
|
449 |
-
| 1.1852 | 14400 | 0.0 | - |
|
450 |
-
| 1.1893 | 14450 | 0.0 | - |
|
451 |
-
| 1.1934 | 14500 | 0.0 | - |
|
452 |
-
| 1.1975 | 14550 | 0.0 | - |
|
453 |
-
| 1.2016 | 14600 | 0.0 | - |
|
454 |
-
| 1.2058 | 14650 | 0.0146 | - |
|
455 |
-
| 1.2099 | 14700 | 0.4649 | - |
|
456 |
-
| 1.2140 | 14750 | 0.0596 | - |
|
457 |
-
| 1.2181 | 14800 | 0.0007 | - |
|
458 |
-
| 1.2222 | 14850 | 0.0006 | - |
|
459 |
-
| 1.2263 | 14900 | 0.0001 | - |
|
460 |
-
| 1.2305 | 14950 | 0.0026 | - |
|
461 |
-
| 1.2346 | 15000 | 0.0 | - |
|
462 |
-
| 1.2387 | 15050 | 0.0 | - |
|
463 |
-
| 1.2428 | 15100 | 0.0001 | - |
|
464 |
-
| 1.2469 | 15150 | 0.0847 | - |
|
465 |
-
| 1.2510 | 15200 | 0.0 | - |
|
466 |
-
| 1.2551 | 15250 | 0.0475 | - |
|
467 |
-
| 1.2593 | 15300 | 0.0006 | - |
|
468 |
-
| 1.2634 | 15350 | 0.0001 | - |
|
469 |
-
| 1.2675 | 15400 | 0.0 | - |
|
470 |
-
| 1.2716 | 15450 | 0.0 | - |
|
471 |
-
| 1.2757 | 15500 | 0.0002 | - |
|
472 |
-
| 1.2798 | 15550 | 0.0001 | - |
|
473 |
-
| 1.2840 | 15600 | 0.0 | - |
|
474 |
-
| 1.2881 | 15650 | 0.0 | - |
|
475 |
-
| 1.2922 | 15700 | 0.0 | - |
|
476 |
-
| 1.2963 | 15750 | 0.0 | - |
|
477 |
-
| 1.3004 | 15800 | 0.0 | - |
|
478 |
-
| 1.3045 | 15850 | 0.0004 | - |
|
479 |
-
| 1.3086 | 15900 | 0.0 | - |
|
480 |
-
| 1.3128 | 15950 | 0.0 | - |
|
481 |
-
| 1.3169 | 16000 | 0.0 | - |
|
482 |
-
| 1.3210 | 16050 | 0.0 | - |
|
483 |
-
| 1.3251 | 16100 | 0.0 | - |
|
484 |
-
| 1.3292 | 16150 | 0.0 | - |
|
485 |
-
| 1.3333 | 16200 | 0.0 | - |
|
486 |
-
| 1.3374 | 16250 | 0.0 | - |
|
487 |
-
| 1.3416 | 16300 | 0.0 | - |
|
488 |
-
| 1.3457 | 16350 | 0.0 | - |
|
489 |
-
| 1.3498 | 16400 | 0.0 | - |
|
490 |
-
| 1.3539 | 16450 | 0.0 | - |
|
491 |
-
| 1.3580 | 16500 | 0.0 | - |
|
492 |
-
| 1.3621 | 16550 | 0.0 | - |
|
493 |
-
| 1.3663 | 16600 | 0.0 | - |
|
494 |
-
| 1.3704 | 16650 | 0.0001 | - |
|
495 |
-
| 1.3745 | 16700 | 0.0 | - |
|
496 |
-
| 1.3786 | 16750 | 0.0 | - |
|
497 |
-
| 1.3827 | 16800 | 0.0 | - |
|
498 |
-
| 1.3868 | 16850 | 0.0001 | - |
|
499 |
-
| 1.3909 | 16900 | 0.0 | - |
|
500 |
-
| 1.3951 | 16950 | 0.0 | - |
|
501 |
-
| 1.3992 | 17000 | 0.0 | - |
|
502 |
-
| 1.4033 | 17050 | 0.0 | - |
|
503 |
-
| 1.4074 | 17100 | 0.0 | - |
|
504 |
-
| 1.4115 | 17150 | 0.0 | - |
|
505 |
-
| 1.4156 | 17200 | 0.0 | - |
|
506 |
-
| 1.4198 | 17250 | 0.0 | - |
|
507 |
-
| 1.4239 | 17300 | 0.0 | - |
|
508 |
-
| 1.4280 | 17350 | 0.0 | - |
|
509 |
-
| 1.4321 | 17400 | 0.0 | - |
|
510 |
-
| 1.4362 | 17450 | 0.0 | - |
|
511 |
-
| 1.4403 | 17500 | 0.0 | - |
|
512 |
-
| 1.4444 | 17550 | 0.0 | - |
|
513 |
-
| 1.4486 | 17600 | 0.0 | - |
|
514 |
-
| 1.4527 | 17650 | 0.0 | - |
|
515 |
-
| 1.4568 | 17700 | 0.0 | - |
|
516 |
-
| 1.4609 | 17750 | 0.0 | - |
|
517 |
-
| 1.4650 | 17800 | 0.0 | - |
|
518 |
-
| 1.4691 | 17850 | 0.0 | - |
|
519 |
-
| 1.4733 | 17900 | 0.0 | - |
|
520 |
-
| 1.4774 | 17950 | 0.0002 | - |
|
521 |
-
| 1.4815 | 18000 | 0.0 | - |
|
522 |
-
| 1.4856 | 18050 | 0.0 | - |
|
523 |
-
| 1.4897 | 18100 | 0.0 | - |
|
524 |
-
| 1.4938 | 18150 | 0.0 | - |
|
525 |
-
| 1.4979 | 18200 | 0.0 | - |
|
526 |
-
| 1.5021 | 18250 | 0.0 | - |
|
527 |
-
| 1.5062 | 18300 | 0.0 | - |
|
528 |
-
| 1.5103 | 18350 | 0.0 | - |
|
529 |
-
| 1.5144 | 18400 | 0.0 | - |
|
530 |
-
| 1.5185 | 18450 | 0.0 | - |
|
531 |
-
| 1.5226 | 18500 | 0.0 | - |
|
532 |
-
| 1.5267 | 18550 | 0.0 | - |
|
533 |
-
| 1.5309 | 18600 | 0.0 | - |
|
534 |
-
| 1.5350 | 18650 | 0.0 | - |
|
535 |
-
| 1.5391 | 18700 | 0.0 | - |
|
536 |
-
| 1.5432 | 18750 | 0.0 | - |
|
537 |
-
| 1.5473 | 18800 | 0.0 | - |
|
538 |
-
| 1.5514 | 18850 | 0.0 | - |
|
539 |
-
| 1.5556 | 18900 | 0.0 | - |
|
540 |
-
| 1.5597 | 18950 | 0.0 | - |
|
541 |
-
| 1.5638 | 19000 | 0.0 | - |
|
542 |
-
| 1.5679 | 19050 | 0.0 | - |
|
543 |
-
| 1.5720 | 19100 | 0.0 | - |
|
544 |
-
| 1.5761 | 19150 | 0.0 | - |
|
545 |
-
| 1.5802 | 19200 | 0.0 | - |
|
546 |
-
| 1.5844 | 19250 | 0.0 | - |
|
547 |
-
| 1.5885 | 19300 | 0.0 | - |
|
548 |
-
| 1.5926 | 19350 | 0.0 | - |
|
549 |
-
| 1.5967 | 19400 | 0.0 | - |
|
550 |
-
| 1.6008 | 19450 | 0.0 | - |
|
551 |
-
| 1.6049 | 19500 | 0.0 | - |
|
552 |
-
| 1.6091 | 19550 | 0.0 | - |
|
553 |
-
| 1.6132 | 19600 | 0.0 | - |
|
554 |
-
| 1.6173 | 19650 | 0.0022 | - |
|
555 |
-
| 1.6214 | 19700 | 0.0981 | - |
|
556 |
-
| 1.6255 | 19750 | 0.0 | - |
|
557 |
-
| 1.6296 | 19800 | 0.0006 | - |
|
558 |
-
| 1.6337 | 19850 | 0.0 | - |
|
559 |
-
| 1.6379 | 19900 | 0.0 | - |
|
560 |
-
| 1.6420 | 19950 | 0.0 | - |
|
561 |
-
| 1.6461 | 20000 | 0.0 | - |
|
562 |
-
| 1.6502 | 20050 | 0.0 | - |
|
563 |
-
| 1.6543 | 20100 | 0.0 | - |
|
564 |
-
| 1.6584 | 20150 | 0.0 | - |
|
565 |
-
| 1.6626 | 20200 | 0.0 | - |
|
566 |
-
| 1.6667 | 20250 | 0.0173 | - |
|
567 |
-
| 1.6708 | 20300 | 0.0001 | - |
|
568 |
-
| 1.6749 | 20350 | 0.0 | - |
|
569 |
-
| 1.6790 | 20400 | 0.0 | - |
|
570 |
-
| 1.6831 | 20450 | 0.0001 | - |
|
571 |
-
| 1.6872 | 20500 | 0.0 | - |
|
572 |
-
| 1.6914 | 20550 | 0.0 | - |
|
573 |
-
| 1.6955 | 20600 | 0.0 | - |
|
574 |
-
| 1.6996 | 20650 | 0.0 | - |
|
575 |
-
| 1.7037 | 20700 | 0.0 | - |
|
576 |
-
| 1.7078 | 20750 | 0.0001 | - |
|
577 |
-
| 1.7119 | 20800 | 0.0 | - |
|
578 |
-
| 1.7160 | 20850 | 0.0 | - |
|
579 |
-
| 1.7202 | 20900 | 0.0 | - |
|
580 |
-
| 1.7243 | 20950 | 0.0 | - |
|
581 |
-
| 1.7284 | 21000 | 0.0 | - |
|
582 |
-
| 1.7325 | 21050 | 0.0 | - |
|
583 |
-
| 1.7366 | 21100 | 0.0 | - |
|
584 |
-
| 1.7407 | 21150 | 0.0 | - |
|
585 |
-
| 1.7449 | 21200 | 0.0 | - |
|
586 |
-
| 1.7490 | 21250 | 0.0 | - |
|
587 |
-
| 1.7531 | 21300 | 0.0 | - |
|
588 |
-
| 1.7572 | 21350 | 0.0 | - |
|
589 |
-
| 1.7613 | 21400 | 0.0 | - |
|
590 |
-
| 1.7654 | 21450 | 0.0 | - |
|
591 |
-
| 1.7695 | 21500 | 0.0 | - |
|
592 |
-
| 1.7737 | 21550 | 0.0 | - |
|
593 |
-
| 1.7778 | 21600 | 0.0 | - |
|
594 |
-
| 1.7819 | 21650 | 0.0 | - |
|
595 |
-
| 1.7860 | 21700 | 0.0 | - |
|
596 |
-
| 1.7901 | 21750 | 0.0 | - |
|
597 |
-
| 1.7942 | 21800 | 0.0 | - |
|
598 |
-
| 1.7984 | 21850 | 0.0 | - |
|
599 |
-
| 1.8025 | 21900 | 0.0 | - |
|
600 |
-
| 1.8066 | 21950 | 0.0 | - |
|
601 |
-
| 1.8107 | 22000 | 0.0 | - |
|
602 |
-
| 1.8148 | 22050 | 0.0 | - |
|
603 |
-
| 1.8189 | 22100 | 0.0 | - |
|
604 |
-
| 1.8230 | 22150 | 0.0 | - |
|
605 |
-
| 1.8272 | 22200 | 0.0 | - |
|
606 |
-
| 1.8313 | 22250 | 0.0 | - |
|
607 |
-
| 1.8354 | 22300 | 0.0 | - |
|
608 |
-
| 1.8395 | 22350 | 0.0 | - |
|
609 |
-
| 1.8436 | 22400 | 0.0 | - |
|
610 |
-
| 1.8477 | 22450 | 0.0 | - |
|
611 |
-
| 1.8519 | 22500 | 0.0 | - |
|
612 |
-
| 1.8560 | 22550 | 0.0 | - |
|
613 |
-
| 1.8601 | 22600 | 0.0 | - |
|
614 |
-
| 1.8642 | 22650 | 0.0 | - |
|
615 |
-
| 1.8683 | 22700 | 0.0 | - |
|
616 |
-
| 1.8724 | 22750 | 0.0 | - |
|
617 |
-
| 1.8765 | 22800 | 0.0 | - |
|
618 |
-
| 1.8807 | 22850 | 0.0 | - |
|
619 |
-
| 1.8848 | 22900 | 0.0 | - |
|
620 |
-
| 1.8889 | 22950 | 0.0 | - |
|
621 |
-
| 1.8930 | 23000 | 0.0 | - |
|
622 |
-
| 1.8971 | 23050 | 0.0007 | - |
|
623 |
-
| 1.9012 | 23100 | 0.0 | - |
|
624 |
-
| 1.9053 | 23150 | 0.0 | - |
|
625 |
-
| 1.9095 | 23200 | 0.0 | - |
|
626 |
-
| 1.9136 | 23250 | 0.0 | - |
|
627 |
-
| 1.9177 | 23300 | 0.0 | - |
|
628 |
-
| 1.9218 | 23350 | 0.0 | - |
|
629 |
-
| 1.9259 | 23400 | 0.0 | - |
|
630 |
-
| 1.9300 | 23450 | 0.0 | - |
|
631 |
-
| 1.9342 | 23500 | 0.0 | - |
|
632 |
-
| 1.9383 | 23550 | 0.0 | - |
|
633 |
-
| 1.9424 | 23600 | 0.0 | - |
|
634 |
-
| 1.9465 | 23650 | 0.0 | - |
|
635 |
-
| 1.9506 | 23700 | 0.0 | - |
|
636 |
-
| 1.9547 | 23750 | 0.0 | - |
|
637 |
-
| 1.9588 | 23800 | 0.0 | - |
|
638 |
-
| 1.9630 | 23850 | 0.0 | - |
|
639 |
-
| 1.9671 | 23900 | 0.0 | - |
|
640 |
-
| 1.9712 | 23950 | 0.0 | - |
|
641 |
-
| 1.9753 | 24000 | 0.0 | - |
|
642 |
-
| 1.9794 | 24050 | 0.0 | - |
|
643 |
-
| 1.9835 | 24100 | 0.0 | - |
|
644 |
-
| 1.9877 | 24150 | 0.0 | - |
|
645 |
-
| 1.9918 | 24200 | 0.0 | - |
|
646 |
-
| 1.9959 | 24250 | 0.0 | - |
|
647 |
-
| 2.0 | 24300 | 0.0 | - |
|
648 |
-
| 2.0041 | 24350 | 0.0001 | - |
|
649 |
-
| 2.0082 | 24400 | 0.0 | - |
|
650 |
-
| 2.0123 | 24450 | 0.0004 | - |
|
651 |
-
| 2.0165 | 24500 | 0.0 | - |
|
652 |
-
| 2.0206 | 24550 | 0.0001 | - |
|
653 |
-
| 2.0247 | 24600 | 0.0 | - |
|
654 |
-
| 2.0288 | 24650 | 0.0 | - |
|
655 |
-
| 2.0329 | 24700 | 0.0 | - |
|
656 |
-
| 2.0370 | 24750 | 0.0 | - |
|
657 |
-
| 2.0412 | 24800 | 0.0 | - |
|
658 |
-
| 2.0453 | 24850 | 0.0 | - |
|
659 |
-
| 2.0494 | 24900 | 0.0 | - |
|
660 |
-
| 2.0535 | 24950 | 0.0 | - |
|
661 |
-
| 2.0576 | 25000 | 0.0 | - |
|
662 |
-
| 2.0617 | 25050 | 0.0 | - |
|
663 |
-
| 2.0658 | 25100 | 0.0 | - |
|
664 |
-
| 2.0700 | 25150 | 0.0 | - |
|
665 |
-
| 2.0741 | 25200 | 0.0 | - |
|
666 |
-
| 2.0782 | 25250 | 0.0 | - |
|
667 |
-
| 2.0823 | 25300 | 0.0 | - |
|
668 |
-
| 2.0864 | 25350 | 0.0 | - |
|
669 |
-
| 2.0905 | 25400 | 0.0 | - |
|
670 |
-
| 2.0947 | 25450 | 0.0 | - |
|
671 |
-
| 2.0988 | 25500 | 0.0 | - |
|
672 |
-
| 2.1029 | 25550 | 0.0 | - |
|
673 |
-
| 2.1070 | 25600 | 0.0 | - |
|
674 |
-
| 2.1111 | 25650 | 0.0 | - |
|
675 |
-
| 2.1152 | 25700 | 0.0 | - |
|
676 |
-
| 2.1193 | 25750 | 0.0 | - |
|
677 |
-
| 2.1235 | 25800 | 0.0 | - |
|
678 |
-
| 2.1276 | 25850 | 0.0 | - |
|
679 |
-
| 2.1317 | 25900 | 0.0 | - |
|
680 |
-
| 2.1358 | 25950 | 0.0 | - |
|
681 |
-
| 2.1399 | 26000 | 0.0 | - |
|
682 |
-
| 2.1440 | 26050 | 0.0 | - |
|
683 |
-
| 2.1481 | 26100 | 0.0 | - |
|
684 |
-
| 2.1523 | 26150 | 0.0 | - |
|
685 |
-
| 2.1564 | 26200 | 0.0 | - |
|
686 |
-
| 2.1605 | 26250 | 0.0 | - |
|
687 |
-
| 2.1646 | 26300 | 0.0 | - |
|
688 |
-
| 2.1687 | 26350 | 0.0 | - |
|
689 |
-
| 2.1728 | 26400 | 0.0 | - |
|
690 |
-
| 2.1770 | 26450 | 0.0 | - |
|
691 |
-
| 2.1811 | 26500 | 0.0 | - |
|
692 |
-
| 2.1852 | 26550 | 0.0 | - |
|
693 |
-
| 2.1893 | 26600 | 0.0 | - |
|
694 |
-
| 2.1934 | 26650 | 0.0 | - |
|
695 |
-
| 2.1975 | 26700 | 0.0 | - |
|
696 |
-
| 2.2016 | 26750 | 0.0 | - |
|
697 |
-
| 2.2058 | 26800 | 0.0 | - |
|
698 |
-
| 2.2099 | 26850 | 0.0 | - |
|
699 |
-
| 2.2140 | 26900 | 0.0 | - |
|
700 |
-
| 2.2181 | 26950 | 0.0 | - |
|
701 |
-
| 2.2222 | 27000 | 0.0 | - |
|
702 |
-
| 2.2263 | 27050 | 0.0 | - |
|
703 |
-
| 2.2305 | 27100 | 0.0 | - |
|
704 |
-
| 2.2346 | 27150 | 0.0 | - |
|
705 |
-
| 2.2387 | 27200 | 0.0 | - |
|
706 |
-
| 2.2428 | 27250 | 0.0 | - |
|
707 |
-
| 2.2469 | 27300 | 0.0 | - |
|
708 |
-
| 2.2510 | 27350 | 0.0 | - |
|
709 |
-
| 2.2551 | 27400 | 0.0 | - |
|
710 |
-
| 2.2593 | 27450 | 0.0 | - |
|
711 |
-
| 2.2634 | 27500 | 0.0 | - |
|
712 |
-
| 2.2675 | 27550 | 0.0 | - |
|
713 |
-
| 2.2716 | 27600 | 0.0 | - |
|
714 |
-
| 2.2757 | 27650 | 0.0 | - |
|
715 |
-
| 2.2798 | 27700 | 0.0 | - |
|
716 |
-
| 2.2840 | 27750 | 0.0 | - |
|
717 |
-
| 2.2881 | 27800 | 0.0 | - |
|
718 |
-
| 2.2922 | 27850 | 0.0 | - |
|
719 |
-
| 2.2963 | 27900 | 0.0 | - |
|
720 |
-
| 2.3004 | 27950 | 0.0 | - |
|
721 |
-
| 2.3045 | 28000 | 0.0 | - |
|
722 |
-
| 2.3086 | 28050 | 0.0 | - |
|
723 |
-
| 2.3128 | 28100 | 0.0 | - |
|
724 |
-
| 2.3169 | 28150 | 0.0 | - |
|
725 |
-
| 2.3210 | 28200 | 0.0 | - |
|
726 |
-
| 2.3251 | 28250 | 0.0 | - |
|
727 |
-
| 2.3292 | 28300 | 0.0 | - |
|
728 |
-
| 2.3333 | 28350 | 0.0 | - |
|
729 |
-
| 2.3374 | 28400 | 0.0 | - |
|
730 |
-
| 2.3416 | 28450 | 0.0 | - |
|
731 |
-
| 2.3457 | 28500 | 0.0 | - |
|
732 |
-
| 2.3498 | 28550 | 0.0 | - |
|
733 |
-
| 2.3539 | 28600 | 0.0 | - |
|
734 |
-
| 2.3580 | 28650 | 0.0 | - |
|
735 |
-
| 2.3621 | 28700 | 0.0 | - |
|
736 |
-
| 2.3663 | 28750 | 0.0 | - |
|
737 |
-
| 2.3704 | 28800 | 0.0 | - |
|
738 |
-
| 2.3745 | 28850 | 0.0 | - |
|
739 |
-
| 2.3786 | 28900 | 0.0 | - |
|
740 |
-
| 2.3827 | 28950 | 0.0 | - |
|
741 |
-
| 2.3868 | 29000 | 0.0 | - |
|
742 |
-
| 2.3909 | 29050 | 0.0 | - |
|
743 |
-
| 2.3951 | 29100 | 0.0 | - |
|
744 |
-
| 2.3992 | 29150 | 0.0 | - |
|
745 |
-
| 2.4033 | 29200 | 0.0 | - |
|
746 |
-
| 2.4074 | 29250 | 0.0 | - |
|
747 |
-
| 2.4115 | 29300 | 0.0 | - |
|
748 |
-
| 2.4156 | 29350 | 0.0 | - |
|
749 |
-
| 2.4198 | 29400 | 0.0 | - |
|
750 |
-
| 2.4239 | 29450 | 0.0 | - |
|
751 |
-
| 2.4280 | 29500 | 0.0 | - |
|
752 |
-
| 2.4321 | 29550 | 0.0 | - |
|
753 |
-
| 2.4362 | 29600 | 0.0 | - |
|
754 |
-
| 2.4403 | 29650 | 0.0 | - |
|
755 |
-
| 2.4444 | 29700 | 0.0 | - |
|
756 |
-
| 2.4486 | 29750 | 0.0 | - |
|
757 |
-
| 2.4527 | 29800 | 0.0 | - |
|
758 |
-
| 2.4568 | 29850 | 0.0 | - |
|
759 |
-
| 2.4609 | 29900 | 0.0 | - |
|
760 |
-
| 2.4650 | 29950 | 0.0 | - |
|
761 |
-
| 2.4691 | 30000 | 0.0 | - |
|
762 |
-
| 2.4733 | 30050 | 0.0 | - |
|
763 |
-
| 2.4774 | 30100 | 0.0 | - |
|
764 |
-
| 2.4815 | 30150 | 0.0 | - |
|
765 |
-
| 2.4856 | 30200 | 0.0 | - |
|
766 |
-
| 2.4897 | 30250 | 0.0 | - |
|
767 |
-
| 2.4938 | 30300 | 0.0 | - |
|
768 |
-
| 2.4979 | 30350 | 0.0 | - |
|
769 |
-
| 2.5021 | 30400 | 0.0 | - |
|
770 |
-
| 2.5062 | 30450 | 0.0 | - |
|
771 |
-
| 2.5103 | 30500 | 0.0 | - |
|
772 |
-
| 2.5144 | 30550 | 0.0 | - |
|
773 |
-
| 2.5185 | 30600 | 0.0 | - |
|
774 |
-
| 2.5226 | 30650 | 0.0 | - |
|
775 |
-
| 2.5267 | 30700 | 0.0 | - |
|
776 |
-
| 2.5309 | 30750 | 0.0 | - |
|
777 |
-
| 2.5350 | 30800 | 0.0 | - |
|
778 |
-
| 2.5391 | 30850 | 0.0 | - |
|
779 |
-
| 2.5432 | 30900 | 0.0 | - |
|
780 |
-
| 2.5473 | 30950 | 0.0 | - |
|
781 |
-
| 2.5514 | 31000 | 0.0 | - |
|
782 |
-
| 2.5556 | 31050 | 0.0 | - |
|
783 |
-
| 2.5597 | 31100 | 0.0 | - |
|
784 |
-
| 2.5638 | 31150 | 0.0 | - |
|
785 |
-
| 2.5679 | 31200 | 0.0 | - |
|
786 |
-
| 2.5720 | 31250 | 0.0 | - |
|
787 |
-
| 2.5761 | 31300 | 0.0 | - |
|
788 |
-
| 2.5802 | 31350 | 0.0 | - |
|
789 |
-
| 2.5844 | 31400 | 0.0 | - |
|
790 |
-
| 2.5885 | 31450 | 0.0 | - |
|
791 |
-
| 2.5926 | 31500 | 0.0 | - |
|
792 |
-
| 2.5967 | 31550 | 0.0 | - |
|
793 |
-
| 2.6008 | 31600 | 0.0 | - |
|
794 |
-
| 2.6049 | 31650 | 0.0 | - |
|
795 |
-
| 2.6091 | 31700 | 0.0 | - |
|
796 |
-
| 2.6132 | 31750 | 0.0 | - |
|
797 |
-
| 2.6173 | 31800 | 0.0 | - |
|
798 |
-
| 2.6214 | 31850 | 0.0 | - |
|
799 |
-
| 2.6255 | 31900 | 0.0 | - |
|
800 |
-
| 2.6296 | 31950 | 0.0 | - |
|
801 |
-
| 2.6337 | 32000 | 0.0 | - |
|
802 |
-
| 2.6379 | 32050 | 0.0 | - |
|
803 |
-
| 2.6420 | 32100 | 0.0 | - |
|
804 |
-
| 2.6461 | 32150 | 0.0 | - |
|
805 |
-
| 2.6502 | 32200 | 0.0 | - |
|
806 |
-
| 2.6543 | 32250 | 0.0 | - |
|
807 |
-
| 2.6584 | 32300 | 0.0 | - |
|
808 |
-
| 2.6626 | 32350 | 0.0 | - |
|
809 |
-
| 2.6667 | 32400 | 0.0 | - |
|
810 |
-
| 2.6708 | 32450 | 0.0 | - |
|
811 |
-
| 2.6749 | 32500 | 0.0 | - |
|
812 |
-
| 2.6790 | 32550 | 0.0 | - |
|
813 |
-
| 2.6831 | 32600 | 0.0 | - |
|
814 |
-
| 2.6872 | 32650 | 0.0 | - |
|
815 |
-
| 2.6914 | 32700 | 0.0 | - |
|
816 |
-
| 2.6955 | 32750 | 0.0 | - |
|
817 |
-
| 2.6996 | 32800 | 0.0 | - |
|
818 |
-
| 2.7037 | 32850 | 0.0 | - |
|
819 |
-
| 2.7078 | 32900 | 0.0 | - |
|
820 |
-
| 2.7119 | 32950 | 0.0 | - |
|
821 |
-
| 2.7160 | 33000 | 0.0 | - |
|
822 |
-
| 2.7202 | 33050 | 0.0 | - |
|
823 |
-
| 2.7243 | 33100 | 0.0 | - |
|
824 |
-
| 2.7284 | 33150 | 0.0 | - |
|
825 |
-
| 2.7325 | 33200 | 0.0 | - |
|
826 |
-
| 2.7366 | 33250 | 0.0 | - |
|
827 |
-
| 2.7407 | 33300 | 0.0 | - |
|
828 |
-
| 2.7449 | 33350 | 0.0 | - |
|
829 |
-
| 2.7490 | 33400 | 0.0 | - |
|
830 |
-
| 2.7531 | 33450 | 0.0 | - |
|
831 |
-
| 2.7572 | 33500 | 0.0 | - |
|
832 |
-
| 2.7613 | 33550 | 0.0967 | - |
|
833 |
-
| 2.7654 | 33600 | 0.0 | - |
|
834 |
-
| 2.7695 | 33650 | 0.0 | - |
|
835 |
-
| 2.7737 | 33700 | 0.0 | - |
|
836 |
-
| 2.7778 | 33750 | 0.0 | - |
|
837 |
-
| 2.7819 | 33800 | 0.0 | - |
|
838 |
-
| 2.7860 | 33850 | 0.0 | - |
|
839 |
-
| 2.7901 | 33900 | 0.0 | - |
|
840 |
-
| 2.7942 | 33950 | 0.0 | - |
|
841 |
-
| 2.7984 | 34000 | 0.0 | - |
|
842 |
-
| 2.8025 | 34050 | 0.0 | - |
|
843 |
-
| 2.8066 | 34100 | 0.0 | - |
|
844 |
-
| 2.8107 | 34150 | 0.0 | - |
|
845 |
-
| 2.8148 | 34200 | 0.0 | - |
|
846 |
-
| 2.8189 | 34250 | 0.0 | - |
|
847 |
-
| 2.8230 | 34300 | 0.0 | - |
|
848 |
-
| 2.8272 | 34350 | 0.0 | - |
|
849 |
-
| 2.8313 | 34400 | 0.0 | - |
|
850 |
-
| 2.8354 | 34450 | 0.0 | - |
|
851 |
-
| 2.8395 | 34500 | 0.0 | - |
|
852 |
-
| 2.8436 | 34550 | 0.0 | - |
|
853 |
-
| 2.8477 | 34600 | 0.0 | - |
|
854 |
-
| 2.8519 | 34650 | 0.0 | - |
|
855 |
-
| 2.8560 | 34700 | 0.0 | - |
|
856 |
-
| 2.8601 | 34750 | 0.0 | - |
|
857 |
-
| 2.8642 | 34800 | 0.0 | - |
|
858 |
-
| 2.8683 | 34850 | 0.0 | - |
|
859 |
-
| 2.8724 | 34900 | 0.0 | - |
|
860 |
-
| 2.8765 | 34950 | 0.0 | - |
|
861 |
-
| 2.8807 | 35000 | 0.0 | - |
|
862 |
-
| 2.8848 | 35050 | 0.0 | - |
|
863 |
-
| 2.8889 | 35100 | 0.0 | - |
|
864 |
-
| 2.8930 | 35150 | 0.0 | - |
|
865 |
-
| 2.8971 | 35200 | 0.0 | - |
|
866 |
-
| 2.9012 | 35250 | 0.0 | - |
|
867 |
-
| 2.9053 | 35300 | 0.0 | - |
|
868 |
-
| 2.9095 | 35350 | 0.0 | - |
|
869 |
-
| 2.9136 | 35400 | 0.0 | - |
|
870 |
-
| 2.9177 | 35450 | 0.0 | - |
|
871 |
-
| 2.9218 | 35500 | 0.0 | - |
|
872 |
-
| 2.9259 | 35550 | 0.0 | - |
|
873 |
-
| 2.9300 | 35600 | 0.0 | - |
|
874 |
-
| 2.9342 | 35650 | 0.0 | - |
|
875 |
-
| 2.9383 | 35700 | 0.0 | - |
|
876 |
-
| 2.9424 | 35750 | 0.0 | - |
|
877 |
-
| 2.9465 | 35800 | 0.0 | - |
|
878 |
-
| 2.9506 | 35850 | 0.0 | - |
|
879 |
-
| 2.9547 | 35900 | 0.0 | - |
|
880 |
-
| 2.9588 | 35950 | 0.0012 | - |
|
881 |
-
| 2.9630 | 36000 | 0.0 | - |
|
882 |
-
| 2.9671 | 36050 | 0.0 | - |
|
883 |
-
| 2.9712 | 36100 | 0.0 | - |
|
884 |
-
| 2.9753 | 36150 | 0.0 | - |
|
885 |
-
| 2.9794 | 36200 | 0.0 | - |
|
886 |
-
| 2.9835 | 36250 | 0.0 | - |
|
887 |
-
| 2.9877 | 36300 | 0.0 | - |
|
888 |
-
| 2.9918 | 36350 | 0.0 | - |
|
889 |
-
| 2.9959 | 36400 | 0.0 | - |
|
890 |
-
| 3.0 | 36450 | 0.0 | - |
|
891 |
-
| 3.0041 | 36500 | 0.0 | - |
|
892 |
-
| 3.0082 | 36550 | 0.0 | - |
|
893 |
-
| 3.0123 | 36600 | 0.0 | - |
|
894 |
-
| 3.0165 | 36650 | 0.0 | - |
|
895 |
-
| 3.0206 | 36700 | 0.0 | - |
|
896 |
-
| 3.0247 | 36750 | 0.0 | - |
|
897 |
-
| 3.0288 | 36800 | 0.0 | - |
|
898 |
-
| 3.0329 | 36850 | 0.0 | - |
|
899 |
-
| 3.0370 | 36900 | 0.0 | - |
|
900 |
-
| 3.0412 | 36950 | 0.0 | - |
|
901 |
-
| 3.0453 | 37000 | 0.0 | - |
|
902 |
-
| 3.0494 | 37050 | 0.0 | - |
|
903 |
-
| 3.0535 | 37100 | 0.0 | - |
|
904 |
-
| 3.0576 | 37150 | 0.0 | - |
|
905 |
-
| 3.0617 | 37200 | 0.0 | - |
|
906 |
-
| 3.0658 | 37250 | 0.0 | - |
|
907 |
-
| 3.0700 | 37300 | 0.0 | - |
|
908 |
-
| 3.0741 | 37350 | 0.0 | - |
|
909 |
-
| 3.0782 | 37400 | 0.0 | - |
|
910 |
-
| 3.0823 | 37450 | 0.0 | - |
|
911 |
-
| 3.0864 | 37500 | 0.0 | - |
|
912 |
-
| 3.0905 | 37550 | 0.0 | - |
|
913 |
-
| 3.0947 | 37600 | 0.0 | - |
|
914 |
-
| 3.0988 | 37650 | 0.0 | - |
|
915 |
-
| 3.1029 | 37700 | 0.0 | - |
|
916 |
-
| 3.1070 | 37750 | 0.0 | - |
|
917 |
-
| 3.1111 | 37800 | 0.0 | - |
|
918 |
-
| 3.1152 | 37850 | 0.0 | - |
|
919 |
-
| 3.1193 | 37900 | 0.0 | - |
|
920 |
-
| 3.1235 | 37950 | 0.0 | - |
|
921 |
-
| 3.1276 | 38000 | 0.0 | - |
|
922 |
-
| 3.1317 | 38050 | 0.0 | - |
|
923 |
-
| 3.1358 | 38100 | 0.0 | - |
|
924 |
-
| 3.1399 | 38150 | 0.0 | - |
|
925 |
-
| 3.1440 | 38200 | 0.0 | - |
|
926 |
-
| 3.1481 | 38250 | 0.0 | - |
|
927 |
-
| 3.1523 | 38300 | 0.0 | - |
|
928 |
-
| 3.1564 | 38350 | 0.0 | - |
|
929 |
-
| 3.1605 | 38400 | 0.0 | - |
|
930 |
-
| 3.1646 | 38450 | 0.0 | - |
|
931 |
-
| 3.1687 | 38500 | 0.0 | - |
|
932 |
-
| 3.1728 | 38550 | 0.0 | - |
|
933 |
-
| 3.1770 | 38600 | 0.0 | - |
|
934 |
-
| 3.1811 | 38650 | 0.0 | - |
|
935 |
-
| 3.1852 | 38700 | 0.0 | - |
|
936 |
-
| 3.1893 | 38750 | 0.0 | - |
|
937 |
-
| 3.1934 | 38800 | 0.0 | - |
|
938 |
-
| 3.1975 | 38850 | 0.0 | - |
|
939 |
-
| 3.2016 | 38900 | 0.0 | - |
|
940 |
-
| 3.2058 | 38950 | 0.0 | - |
|
941 |
-
| 3.2099 | 39000 | 0.0 | - |
|
942 |
-
| 3.2140 | 39050 | 0.0 | - |
|
943 |
-
| 3.2181 | 39100 | 0.0 | - |
|
944 |
-
| 3.2222 | 39150 | 0.0 | - |
|
945 |
-
| 3.2263 | 39200 | 0.0 | - |
|
946 |
-
| 3.2305 | 39250 | 0.0 | - |
|
947 |
-
| 3.2346 | 39300 | 0.0 | - |
|
948 |
-
| 3.2387 | 39350 | 0.0 | - |
|
949 |
-
| 3.2428 | 39400 | 0.0 | - |
|
950 |
-
| 3.2469 | 39450 | 0.0 | - |
|
951 |
-
| 3.2510 | 39500 | 0.0 | - |
|
952 |
-
| 3.2551 | 39550 | 0.0 | - |
|
953 |
-
| 3.2593 | 39600 | 0.0 | - |
|
954 |
-
| 3.2634 | 39650 | 0.0 | - |
|
955 |
-
| 3.2675 | 39700 | 0.0 | - |
|
956 |
-
| 3.2716 | 39750 | 0.0 | - |
|
957 |
-
| 3.2757 | 39800 | 0.0 | - |
|
958 |
-
| 3.2798 | 39850 | 0.0 | - |
|
959 |
-
| 3.2840 | 39900 | 0.0 | - |
|
960 |
-
| 3.2881 | 39950 | 0.0 | - |
|
961 |
-
| 3.2922 | 40000 | 0.0 | - |
|
962 |
-
| 3.2963 | 40050 | 0.0 | - |
|
963 |
-
| 3.3004 | 40100 | 0.0 | - |
|
964 |
-
| 3.3045 | 40150 | 0.0 | - |
|
965 |
-
| 3.3086 | 40200 | 0.0 | - |
|
966 |
-
| 3.3128 | 40250 | 0.0 | - |
|
967 |
-
| 3.3169 | 40300 | 0.0 | - |
|
968 |
-
| 3.3210 | 40350 | 0.0 | - |
|
969 |
-
| 3.3251 | 40400 | 0.0 | - |
|
970 |
-
| 3.3292 | 40450 | 0.0 | - |
|
971 |
-
| 3.3333 | 40500 | 0.0 | - |
|
972 |
-
| 3.3374 | 40550 | 0.0 | - |
|
973 |
-
| 3.3416 | 40600 | 0.0 | - |
|
974 |
-
| 3.3457 | 40650 | 0.0 | - |
|
975 |
-
| 3.3498 | 40700 | 0.0 | - |
|
976 |
-
| 3.3539 | 40750 | 0.0 | - |
|
977 |
-
| 3.3580 | 40800 | 0.0 | - |
|
978 |
-
| 3.3621 | 40850 | 0.0 | - |
|
979 |
-
| 3.3663 | 40900 | 0.0002 | - |
|
980 |
-
| 3.3704 | 40950 | 0.0 | - |
|
981 |
-
| 3.3745 | 41000 | 0.0 | - |
|
982 |
-
| 3.3786 | 41050 | 0.0 | - |
|
983 |
-
| 3.3827 | 41100 | 0.0 | - |
|
984 |
-
| 3.3868 | 41150 | 0.0 | - |
|
985 |
-
| 3.3909 | 41200 | 0.0 | - |
|
986 |
-
| 3.3951 | 41250 | 0.0 | - |
|
987 |
-
| 3.3992 | 41300 | 0.0 | - |
|
988 |
-
| 3.4033 | 41350 | 0.0 | - |
|
989 |
-
| 3.4074 | 41400 | 0.0 | - |
|
990 |
-
| 3.4115 | 41450 | 0.0 | - |
|
991 |
-
| 3.4156 | 41500 | 0.0 | - |
|
992 |
-
| 3.4198 | 41550 | 0.0 | - |
|
993 |
-
| 3.4239 | 41600 | 0.0 | - |
|
994 |
-
| 3.4280 | 41650 | 0.0 | - |
|
995 |
-
| 3.4321 | 41700 | 0.0 | - |
|
996 |
-
| 3.4362 | 41750 | 0.0 | - |
|
997 |
-
| 3.4403 | 41800 | 0.0 | - |
|
998 |
-
| 3.4444 | 41850 | 0.0 | - |
|
999 |
-
| 3.4486 | 41900 | 0.0 | - |
|
1000 |
-
| 3.4527 | 41950 | 0.0 | - |
|
1001 |
-
| 3.4568 | 42000 | 0.0 | - |
|
1002 |
-
| 3.4609 | 42050 | 0.0 | - |
|
1003 |
-
| 3.4650 | 42100 | 0.0 | - |
|
1004 |
-
| 3.4691 | 42150 | 0.0 | - |
|
1005 |
-
| 3.4733 | 42200 | 0.0 | - |
|
1006 |
-
| 3.4774 | 42250 | 0.0 | - |
|
1007 |
-
| 3.4815 | 42300 | 0.0 | - |
|
1008 |
-
| 3.4856 | 42350 | 0.0 | - |
|
1009 |
-
| 3.4897 | 42400 | 0.0 | - |
|
1010 |
-
| 3.4938 | 42450 | 0.0 | - |
|
1011 |
-
| 3.4979 | 42500 | 0.0 | - |
|
1012 |
-
| 3.5021 | 42550 | 0.0 | - |
|
1013 |
-
| 3.5062 | 42600 | 0.0 | - |
|
1014 |
-
| 3.5103 | 42650 | 0.0 | - |
|
1015 |
-
| 3.5144 | 42700 | 0.0 | - |
|
1016 |
-
| 3.5185 | 42750 | 0.0 | - |
|
1017 |
-
| 3.5226 | 42800 | 0.0 | - |
|
1018 |
-
| 3.5267 | 42850 | 0.0 | - |
|
1019 |
-
| 3.5309 | 42900 | 0.0 | - |
|
1020 |
-
| 3.5350 | 42950 | 0.0 | - |
|
1021 |
-
| 3.5391 | 43000 | 0.0 | - |
|
1022 |
-
| 3.5432 | 43050 | 0.0 | - |
|
1023 |
-
| 3.5473 | 43100 | 0.0 | - |
|
1024 |
-
| 3.5514 | 43150 | 0.0 | - |
|
1025 |
-
| 3.5556 | 43200 | 0.0 | - |
|
1026 |
-
| 3.5597 | 43250 | 0.0 | - |
|
1027 |
-
| 3.5638 | 43300 | 0.0 | - |
|
1028 |
-
| 3.5679 | 43350 | 0.0 | - |
|
1029 |
-
| 3.5720 | 43400 | 0.0 | - |
|
1030 |
-
| 3.5761 | 43450 | 0.0 | - |
|
1031 |
-
| 3.5802 | 43500 | 0.0 | - |
|
1032 |
-
| 3.5844 | 43550 | 0.0 | - |
|
1033 |
-
| 3.5885 | 43600 | 0.0 | - |
|
1034 |
-
| 3.5926 | 43650 | 0.0 | - |
|
1035 |
-
| 3.5967 | 43700 | 0.0 | - |
|
1036 |
-
| 3.6008 | 43750 | 0.0 | - |
|
1037 |
-
| 3.6049 | 43800 | 0.0 | - |
|
1038 |
-
| 3.6091 | 43850 | 0.0 | - |
|
1039 |
-
| 3.6132 | 43900 | 0.0 | - |
|
1040 |
-
| 3.6173 | 43950 | 0.0 | - |
|
1041 |
-
| 3.6214 | 44000 | 0.0 | - |
|
1042 |
-
| 3.6255 | 44050 | 0.0 | - |
|
1043 |
-
| 3.6296 | 44100 | 0.0 | - |
|
1044 |
-
| 3.6337 | 44150 | 0.0 | - |
|
1045 |
-
| 3.6379 | 44200 | 0.0 | - |
|
1046 |
-
| 3.6420 | 44250 | 0.0 | - |
|
1047 |
-
| 3.6461 | 44300 | 0.0 | - |
|
1048 |
-
| 3.6502 | 44350 | 0.0 | - |
|
1049 |
-
| 3.6543 | 44400 | 0.0 | - |
|
1050 |
-
| 3.6584 | 44450 | 0.0 | - |
|
1051 |
-
| 3.6626 | 44500 | 0.0 | - |
|
1052 |
-
| 3.6667 | 44550 | 0.0 | - |
|
1053 |
-
| 3.6708 | 44600 | 0.0 | - |
|
1054 |
-
| 3.6749 | 44650 | 0.0 | - |
|
1055 |
-
| 3.6790 | 44700 | 0.0 | - |
|
1056 |
-
| 3.6831 | 44750 | 0.0 | - |
|
1057 |
-
| 3.6872 | 44800 | 0.0 | - |
|
1058 |
-
| 3.6914 | 44850 | 0.0 | - |
|
1059 |
-
| 3.6955 | 44900 | 0.0 | - |
|
1060 |
-
| 3.6996 | 44950 | 0.0 | - |
|
1061 |
-
| 3.7037 | 45000 | 0.0 | - |
|
1062 |
-
| 3.7078 | 45050 | 0.0 | - |
|
1063 |
-
| 3.7119 | 45100 | 0.0 | - |
|
1064 |
-
| 3.7160 | 45150 | 0.0 | - |
|
1065 |
-
| 3.7202 | 45200 | 0.0 | - |
|
1066 |
-
| 3.7243 | 45250 | 0.0 | - |
|
1067 |
-
| 3.7284 | 45300 | 0.0 | - |
|
1068 |
-
| 3.7325 | 45350 | 0.0 | - |
|
1069 |
-
| 3.7366 | 45400 | 0.0 | - |
|
1070 |
-
| 3.7407 | 45450 | 0.0 | - |
|
1071 |
-
| 3.7449 | 45500 | 0.0 | - |
|
1072 |
-
| 3.7490 | 45550 | 0.0 | - |
|
1073 |
-
| 3.7531 | 45600 | 0.0 | - |
|
1074 |
-
| 3.7572 | 45650 | 0.0 | - |
|
1075 |
-
| 3.7613 | 45700 | 0.0 | - |
|
1076 |
-
| 3.7654 | 45750 | 0.0 | - |
|
1077 |
-
| 3.7695 | 45800 | 0.0 | - |
|
1078 |
-
| 3.7737 | 45850 | 0.0 | - |
|
1079 |
-
| 3.7778 | 45900 | 0.0 | - |
|
1080 |
-
| 3.7819 | 45950 | 0.0 | - |
|
1081 |
-
| 3.7860 | 46000 | 0.0 | - |
|
1082 |
-
| 3.7901 | 46050 | 0.0 | - |
|
1083 |
-
| 3.7942 | 46100 | 0.0 | - |
|
1084 |
-
| 3.7984 | 46150 | 0.0 | - |
|
1085 |
-
| 3.8025 | 46200 | 0.0 | - |
|
1086 |
-
| 3.8066 | 46250 | 0.0 | - |
|
1087 |
-
| 3.8107 | 46300 | 0.0 | - |
|
1088 |
-
| 3.8148 | 46350 | 0.0 | - |
|
1089 |
-
| 3.8189 | 46400 | 0.0 | - |
|
1090 |
-
| 3.8230 | 46450 | 0.0 | - |
|
1091 |
-
| 3.8272 | 46500 | 0.0 | - |
|
1092 |
-
| 3.8313 | 46550 | 0.0 | - |
|
1093 |
-
| 3.8354 | 46600 | 0.0 | - |
|
1094 |
-
| 3.8395 | 46650 | 0.0 | - |
|
1095 |
-
| 3.8436 | 46700 | 0.0 | - |
|
1096 |
-
| 3.8477 | 46750 | 0.0 | - |
|
1097 |
-
| 3.8519 | 46800 | 0.0 | - |
|
1098 |
-
| 3.8560 | 46850 | 0.0 | - |
|
1099 |
-
| 3.8601 | 46900 | 0.0 | - |
|
1100 |
-
| 3.8642 | 46950 | 0.0 | - |
|
1101 |
-
| 3.8683 | 47000 | 0.0 | - |
|
1102 |
-
| 3.8724 | 47050 | 0.0 | - |
|
1103 |
-
| 3.8765 | 47100 | 0.0 | - |
|
1104 |
-
| 3.8807 | 47150 | 0.0 | - |
|
1105 |
-
| 3.8848 | 47200 | 0.0 | - |
|
1106 |
-
| 3.8889 | 47250 | 0.0 | - |
|
1107 |
-
| 3.8930 | 47300 | 0.0 | - |
|
1108 |
-
| 3.8971 | 47350 | 0.0 | - |
|
1109 |
-
| 3.9012 | 47400 | 0.0 | - |
|
1110 |
-
| 3.9053 | 47450 | 0.0 | - |
|
1111 |
-
| 3.9095 | 47500 | 0.0 | - |
|
1112 |
-
| 3.9136 | 47550 | 0.0 | - |
|
1113 |
-
| 3.9177 | 47600 | 0.0 | - |
|
1114 |
-
| 3.9218 | 47650 | 0.0 | - |
|
1115 |
-
| 3.9259 | 47700 | 0.0 | - |
|
1116 |
-
| 3.9300 | 47750 | 0.0 | - |
|
1117 |
-
| 3.9342 | 47800 | 0.0 | - |
|
1118 |
-
| 3.9383 | 47850 | 0.0 | - |
|
1119 |
-
| 3.9424 | 47900 | 0.0 | - |
|
1120 |
-
| 3.9465 | 47950 | 0.0 | - |
|
1121 |
-
| 3.9506 | 48000 | 0.0 | - |
|
1122 |
-
| 3.9547 | 48050 | 0.0 | - |
|
1123 |
-
| 3.9588 | 48100 | 0.0 | - |
|
1124 |
-
| 3.9630 | 48150 | 0.0 | - |
|
1125 |
-
| 3.9671 | 48200 | 0.0 | - |
|
1126 |
-
| 3.9712 | 48250 | 0.0 | - |
|
1127 |
-
| 3.9753 | 48300 | 0.0 | - |
|
1128 |
-
| 3.9794 | 48350 | 0.0 | - |
|
1129 |
-
| 3.9835 | 48400 | 0.0 | - |
|
1130 |
-
| 3.9877 | 48450 | 0.0 | - |
|
1131 |
-
| 3.9918 | 48500 | 0.0 | - |
|
1132 |
-
| 3.9959 | 48550 | 0.0 | - |
|
1133 |
-
| 4.0 | 48600 | 0.0 | - |
|
1134 |
|
1135 |
### Framework Versions
|
1136 |
- Python: 3.10.13
|
|
|
9 |
metrics:
|
10 |
- accuracy
|
11 |
widget:
|
12 |
+
- text: '" I hope this kind of cognitive therapy does work in the long run and thoughts
|
13 |
+
would dwindle away'
|
14 |
+
- text: ' It''s right by the ocean so it was really nice being outside the whole time
|
15 |
+
The aquarium building is closed for now so they set up displays outside Anyway
|
16 |
+
as far as animal fields, I guess that depends on if you want to do something like
|
17 |
+
animal husbandry (with pets, farm animals, or wild animals) or be involved with
|
18 |
+
a more wildlife restoration or management side The aquarium building is closed
|
19 |
+
for now so they set up displays outside'
|
20 |
+
- text: ' Just like a child running from a horror house with her eyes closed Just
|
21 |
+
like a child running from a horror house with her eyes closed'
|
22 |
+
- text: ' I have to go outside and meet people personally'
|
23 |
+
- text: ' I like to come home from a long day of work and get away from the real world
|
24 |
+
by watching my fav baseball team, kdramas, or even play online games'
|
25 |
pipeline_tag: text-classification
|
26 |
inference: true
|
27 |
model-index:
|
|
|
36 |
split: test
|
37 |
metrics:
|
38 |
- type: accuracy
|
39 |
+
value: 0.5633333333333334
|
40 |
name: Accuracy
|
41 |
---
|
42 |
|
|
|
68 |
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
69 |
|
70 |
### Model Labels
|
71 |
+
| Label | Examples |
|
72 |
+
|:------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
73 |
+
| 1 | <ul><li>' I went camping by myself at a site near a beach I went camping by myself at a site near a beach I enjoyed being by myself, hiking out and swimming, etc I enjoyed being by myself, hiking out and swimming, etc I went camping by myself at a site near a beach I went camping by myself at a site near a beach I went camping by myself at a site near a beach I went camping by myself at a site near a beach'</li><li>' I regularly leave the house for shopping or to go jogging'</li><li>'get fresh air or smoothies'</li></ul> |
|
74 |
+
| 2 | <ul><li>'in the middle of the night when no one is outside here and the air is fresh and cold is the only time where i can actually enjoy leaving the house'</li><li>" I've been socially anxious for so long that I don't even know what to say and what to do when I actually go outside and interact with people It's just a stream of question and uncertainties"</li><li>"Yep I only go running once it's dark (around 7pm) because then people can't see me very well and don't judge me"</li></ul> |
|
75 |
+
| 3 | <ul><li>"Tips For Fear of Outdoors It's embarrassing to say at my age but I've never gone really outside by myself Sometimes I'd walk around town by myself but I've never gone anywhere else without a friend or family member"</li><li>' while potheads, sex addicts and bullies and all this shit get to live the fun, free life without worry of what tbey do next The majority of people who lead this sort of life will end up regretting it in the long run This is because i always feel like i walk weird, Have a very asymetrical face (ugly), underdeveloped jaw, i run weird my whole body just doesnt look right'</li><li>" But mostly I'm nervous about walking around downtown"</li></ul> |
|
76 |
+
| 0 | <ul><li>' But reflecting on past experiences with it- some moments can be quite comical from an outside view'</li><li>" I realised in my core inner nature I'm actually a super energetic person, and I have the potential to be friendly and outgoing"</li><li>" Well a few years ago I moved away from one of the few towns I've called home to start a life with my partner on the other side of the country (UK) and due to that stopped talking to the few friends I had as I was struggling to keep my life afloat just with work and figuring out the ins and outs of running a household"</li></ul> |
|
77 |
|
78 |
## Evaluation
|
79 |
|
80 |
### Metrics
|
81 |
| Label | Accuracy |
|
82 |
|:--------|:---------|
|
83 |
+
| **all** | 0.5633 |
|
84 |
|
85 |
## Uses
|
86 |
|
|
|
100 |
# Download from the 🤗 Hub
|
101 |
model = SetFitModel.from_pretrained("Omar-Nasr/setfitmodel")
|
102 |
# Run inference
|
103 |
+
preds = model(" I have to go outside and meet people personally")
|
104 |
```
|
105 |
|
106 |
<!--
|
|
|
130 |
## Training Details
|
131 |
|
132 |
### Training Set Metrics
|
133 |
+
| Training set | Min | Median | Max |
|
134 |
+
|:-------------|:----|:--------|:----|
|
135 |
+
| Word count | 5 | 45.6875 | 250 |
|
136 |
|
137 |
| Label | Training Sample Count |
|
138 |
|:------|:----------------------|
|
139 |
+
| 0 | 20 |
|
140 |
+
| 1 | 20 |
|
141 |
+
| 2 | 20 |
|
142 |
+
| 3 | 20 |
|
143 |
|
144 |
### Training Hyperparameters
|
145 |
- batch_size: (8, 8)
|
146 |
+
- num_epochs: (1, 1)
|
147 |
- max_steps: -1
|
148 |
- sampling_strategy: oversampling
|
149 |
- body_learning_rate: (2e-05, 1e-05)
|
|
|
159 |
- load_best_model_at_end: False
|
160 |
|
161 |
### Training Results
|
162 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
163 |
+
|:------:|:----:|:-------------:|:---------------:|
|
164 |
+
| 0.0017 | 1 | 0.1832 | - |
|
165 |
+
| 0.0833 | 50 | 0.2602 | - |
|
166 |
+
| 0.1667 | 100 | 0.2547 | - |
|
167 |
+
| 0.25 | 150 | 0.2396 | - |
|
168 |
+
| 0.3333 | 200 | 0.4516 | - |
|
169 |
+
| 0.4167 | 250 | 0.1316 | - |
|
170 |
+
| 0.5 | 300 | 0.391 | - |
|
171 |
+
| 0.5833 | 350 | 0.072 | - |
|
172 |
+
| 0.6667 | 400 | 0.0973 | - |
|
173 |
+
| 0.75 | 450 | 0.1348 | - |
|
174 |
+
| 0.8333 | 500 | 0.0962 | - |
|
175 |
+
| 0.9167 | 550 | 0.301 | - |
|
176 |
+
| 1.0 | 600 | 0.2527 | - |
|
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177 |
|
178 |
### Framework Versions
|
179 |
- Python: 3.10.13
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"architectures": [
|
4 |
"RobertaModel"
|
5 |
],
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "Omar-Nasr/setfitmodel",
|
3 |
"architectures": [
|
4 |
"RobertaModel"
|
5 |
],
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1421483904
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cace73906c72ee4b99ffaf29e382050de3bb518f31de6497ab00332ef20c9148
|
3 |
size 1421483904
|
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:b47fff13ed3dfd31f50ea3fa1ba382e1bae5866dc756f3fa11cb06c555ca18a9
|
3 |
+
size 33671
|