Initial Commit
Browse files- README.md +175 -0
- config.json +159 -0
- eval_results_ml.json +1 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: haryoaw/scenario-MDBT-TCR_data-AmazonScience_massive_all_1_1
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- massive
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
+
- f1
|
| 11 |
+
model-index:
|
| 12 |
+
- name: scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_144
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_144
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [haryoaw/scenario-MDBT-TCR_data-AmazonScience_massive_all_1_1](https://huggingface.co/haryoaw/scenario-MDBT-TCR_data-AmazonScience_massive_all_1_1) on the massive dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 1.1139
|
| 24 |
+
- Accuracy: 0.8659
|
| 25 |
+
- F1: 0.8466
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 5e-05
|
| 45 |
+
- train_batch_size: 32
|
| 46 |
+
- eval_batch_size: 32
|
| 47 |
+
- seed: 44
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- num_epochs: 30
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
| 55 |
+
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|
|
| 56 |
+
| 1.7627 | 0.27 | 5000 | 1.9858 | 0.8200 | 0.7785 |
|
| 57 |
+
| 1.3268 | 0.53 | 10000 | 1.7497 | 0.8353 | 0.8042 |
|
| 58 |
+
| 1.1431 | 0.8 | 15000 | 1.6427 | 0.8403 | 0.8129 |
|
| 59 |
+
| 0.846 | 1.07 | 20000 | 1.5717 | 0.8445 | 0.8134 |
|
| 60 |
+
| 0.7952 | 1.34 | 25000 | 1.5650 | 0.8457 | 0.8207 |
|
| 61 |
+
| 0.7416 | 1.6 | 30000 | 1.5495 | 0.8493 | 0.8246 |
|
| 62 |
+
| 0.713 | 1.87 | 35000 | 1.4702 | 0.8518 | 0.8325 |
|
| 63 |
+
| 0.6101 | 2.14 | 40000 | 1.4505 | 0.8522 | 0.8287 |
|
| 64 |
+
| 0.591 | 2.41 | 45000 | 1.4639 | 0.8522 | 0.8257 |
|
| 65 |
+
| 0.5774 | 2.67 | 50000 | 1.4352 | 0.8498 | 0.8292 |
|
| 66 |
+
| 0.5564 | 2.94 | 55000 | 1.4054 | 0.8556 | 0.8357 |
|
| 67 |
+
| 0.48 | 3.21 | 60000 | 1.4085 | 0.8539 | 0.8330 |
|
| 68 |
+
| 0.4767 | 3.47 | 65000 | 1.3640 | 0.8578 | 0.8352 |
|
| 69 |
+
| 0.4725 | 3.74 | 70000 | 1.3570 | 0.8553 | 0.8326 |
|
| 70 |
+
| 0.4599 | 4.01 | 75000 | 1.3478 | 0.8568 | 0.8356 |
|
| 71 |
+
| 0.4328 | 4.28 | 80000 | 1.3349 | 0.8561 | 0.8329 |
|
| 72 |
+
| 0.4237 | 4.54 | 85000 | 1.3403 | 0.8585 | 0.8375 |
|
| 73 |
+
| 0.4186 | 4.81 | 90000 | 1.3329 | 0.8591 | 0.8402 |
|
| 74 |
+
| 0.3964 | 5.08 | 95000 | 1.3430 | 0.8552 | 0.8350 |
|
| 75 |
+
| 0.3896 | 5.34 | 100000 | 1.3224 | 0.8572 | 0.8369 |
|
| 76 |
+
| 0.4012 | 5.61 | 105000 | 1.3126 | 0.8597 | 0.8389 |
|
| 77 |
+
| 0.3845 | 5.88 | 110000 | 1.3096 | 0.8574 | 0.8368 |
|
| 78 |
+
| 0.3601 | 6.15 | 115000 | 1.2671 | 0.8597 | 0.8378 |
|
| 79 |
+
| 0.3608 | 6.41 | 120000 | 1.2839 | 0.8596 | 0.8374 |
|
| 80 |
+
| 0.3612 | 6.68 | 125000 | 1.2874 | 0.8590 | 0.8393 |
|
| 81 |
+
| 0.3617 | 6.95 | 130000 | 1.3028 | 0.8572 | 0.8382 |
|
| 82 |
+
| 0.3357 | 7.22 | 135000 | 1.2707 | 0.8597 | 0.8397 |
|
| 83 |
+
| 0.3467 | 7.48 | 140000 | 1.2735 | 0.8597 | 0.8407 |
|
| 84 |
+
| 0.3516 | 7.75 | 145000 | 1.2572 | 0.8606 | 0.8397 |
|
| 85 |
+
| 0.3298 | 8.02 | 150000 | 1.2609 | 0.8601 | 0.8396 |
|
| 86 |
+
| 0.3258 | 8.28 | 155000 | 1.2527 | 0.8585 | 0.8381 |
|
| 87 |
+
| 0.3301 | 8.55 | 160000 | 1.2414 | 0.8613 | 0.8445 |
|
| 88 |
+
| 0.3193 | 8.82 | 165000 | 1.2525 | 0.8602 | 0.8407 |
|
| 89 |
+
| 0.307 | 9.09 | 170000 | 1.2398 | 0.8613 | 0.8428 |
|
| 90 |
+
| 0.3155 | 9.35 | 175000 | 1.2209 | 0.8621 | 0.8416 |
|
| 91 |
+
| 0.3138 | 9.62 | 180000 | 1.2155 | 0.8617 | 0.8428 |
|
| 92 |
+
| 0.3108 | 9.89 | 185000 | 1.2363 | 0.8618 | 0.8420 |
|
| 93 |
+
| 0.2954 | 10.15 | 190000 | 1.2141 | 0.8609 | 0.8414 |
|
| 94 |
+
| 0.2968 | 10.42 | 195000 | 1.2331 | 0.8611 | 0.8430 |
|
| 95 |
+
| 0.3017 | 10.69 | 200000 | 1.2081 | 0.8618 | 0.8433 |
|
| 96 |
+
| 0.2989 | 10.96 | 205000 | 1.2025 | 0.8630 | 0.8438 |
|
| 97 |
+
| 0.2792 | 11.22 | 210000 | 1.2063 | 0.8635 | 0.8433 |
|
| 98 |
+
| 0.2946 | 11.49 | 215000 | 1.1898 | 0.8639 | 0.8435 |
|
| 99 |
+
| 0.2778 | 11.76 | 220000 | 1.2013 | 0.8625 | 0.8428 |
|
| 100 |
+
| 0.2757 | 12.03 | 225000 | 1.1908 | 0.8627 | 0.8439 |
|
| 101 |
+
| 0.2763 | 12.29 | 230000 | 1.1906 | 0.8631 | 0.8424 |
|
| 102 |
+
| 0.2699 | 12.56 | 235000 | 1.1894 | 0.8629 | 0.8422 |
|
| 103 |
+
| 0.2716 | 12.83 | 240000 | 1.1887 | 0.8643 | 0.8460 |
|
| 104 |
+
| 0.2715 | 13.09 | 245000 | 1.1940 | 0.8634 | 0.8463 |
|
| 105 |
+
| 0.2659 | 13.36 | 250000 | 1.1844 | 0.8642 | 0.8443 |
|
| 106 |
+
| 0.2693 | 13.63 | 255000 | 1.1844 | 0.8642 | 0.8446 |
|
| 107 |
+
| 0.2654 | 13.9 | 260000 | 1.1784 | 0.8637 | 0.8454 |
|
| 108 |
+
| 0.2522 | 14.16 | 265000 | 1.1728 | 0.8641 | 0.8433 |
|
| 109 |
+
| 0.2604 | 14.43 | 270000 | 1.1878 | 0.8627 | 0.8415 |
|
| 110 |
+
| 0.2489 | 14.7 | 275000 | 1.1795 | 0.8640 | 0.8437 |
|
| 111 |
+
| 0.2611 | 14.96 | 280000 | 1.1585 | 0.8648 | 0.8450 |
|
| 112 |
+
| 0.246 | 15.23 | 285000 | 1.1574 | 0.8647 | 0.8452 |
|
| 113 |
+
| 0.2482 | 15.5 | 290000 | 1.1654 | 0.8633 | 0.8427 |
|
| 114 |
+
| 0.2423 | 15.77 | 295000 | 1.1683 | 0.8632 | 0.8416 |
|
| 115 |
+
| 0.2387 | 16.03 | 300000 | 1.1736 | 0.8625 | 0.8415 |
|
| 116 |
+
| 0.2417 | 16.3 | 305000 | 1.1686 | 0.8635 | 0.8437 |
|
| 117 |
+
| 0.2433 | 16.57 | 310000 | 1.1639 | 0.8626 | 0.8410 |
|
| 118 |
+
| 0.2405 | 16.84 | 315000 | 1.1647 | 0.8632 | 0.8421 |
|
| 119 |
+
| 0.2327 | 17.1 | 320000 | 1.1459 | 0.8642 | 0.8446 |
|
| 120 |
+
| 0.2374 | 17.37 | 325000 | 1.1513 | 0.8643 | 0.8454 |
|
| 121 |
+
| 0.233 | 17.64 | 330000 | 1.1479 | 0.8649 | 0.8438 |
|
| 122 |
+
| 0.2381 | 17.9 | 335000 | 1.1556 | 0.8643 | 0.8450 |
|
| 123 |
+
| 0.2228 | 18.17 | 340000 | 1.1523 | 0.8648 | 0.8461 |
|
| 124 |
+
| 0.2305 | 18.44 | 345000 | 1.1523 | 0.8635 | 0.8440 |
|
| 125 |
+
| 0.2244 | 18.71 | 350000 | 1.1507 | 0.8648 | 0.8450 |
|
| 126 |
+
| 0.2212 | 18.97 | 355000 | 1.1413 | 0.8650 | 0.8451 |
|
| 127 |
+
| 0.2207 | 19.24 | 360000 | 1.1401 | 0.8644 | 0.8466 |
|
| 128 |
+
| 0.2164 | 19.51 | 365000 | 1.1518 | 0.8630 | 0.8426 |
|
| 129 |
+
| 0.2232 | 19.77 | 370000 | 1.1469 | 0.8640 | 0.8452 |
|
| 130 |
+
| 0.2147 | 20.04 | 375000 | 1.1495 | 0.8629 | 0.8433 |
|
| 131 |
+
| 0.2089 | 20.31 | 380000 | 1.1392 | 0.8657 | 0.8457 |
|
| 132 |
+
| 0.2074 | 20.58 | 385000 | 1.1381 | 0.8643 | 0.8441 |
|
| 133 |
+
| 0.2149 | 20.84 | 390000 | 1.1415 | 0.8639 | 0.8447 |
|
| 134 |
+
| 0.2074 | 21.11 | 395000 | 1.1307 | 0.8647 | 0.8441 |
|
| 135 |
+
| 0.2087 | 21.38 | 400000 | 1.1351 | 0.8641 | 0.8432 |
|
| 136 |
+
| 0.2104 | 21.65 | 405000 | 1.1312 | 0.8644 | 0.8448 |
|
| 137 |
+
| 0.2078 | 21.91 | 410000 | 1.1296 | 0.8650 | 0.8457 |
|
| 138 |
+
| 0.2038 | 22.18 | 415000 | 1.1249 | 0.8657 | 0.8452 |
|
| 139 |
+
| 0.2037 | 22.45 | 420000 | 1.1334 | 0.8643 | 0.8444 |
|
| 140 |
+
| 0.2027 | 22.71 | 425000 | 1.1280 | 0.8644 | 0.8446 |
|
| 141 |
+
| 0.2041 | 22.98 | 430000 | 1.1321 | 0.8640 | 0.8467 |
|
| 142 |
+
| 0.1921 | 23.25 | 435000 | 1.1324 | 0.8635 | 0.8445 |
|
| 143 |
+
| 0.2007 | 23.52 | 440000 | 1.1248 | 0.8649 | 0.8458 |
|
| 144 |
+
| 0.2018 | 23.78 | 445000 | 1.1274 | 0.8649 | 0.8451 |
|
| 145 |
+
| 0.2009 | 24.05 | 450000 | 1.1204 | 0.8654 | 0.8473 |
|
| 146 |
+
| 0.2017 | 24.32 | 455000 | 1.1245 | 0.8651 | 0.8450 |
|
| 147 |
+
| 0.1977 | 24.58 | 460000 | 1.1234 | 0.8649 | 0.8461 |
|
| 148 |
+
| 0.1974 | 24.85 | 465000 | 1.1234 | 0.8646 | 0.8445 |
|
| 149 |
+
| 0.1934 | 25.12 | 470000 | 1.1220 | 0.8655 | 0.8457 |
|
| 150 |
+
| 0.1937 | 25.39 | 475000 | 1.1183 | 0.8659 | 0.8470 |
|
| 151 |
+
| 0.1947 | 25.65 | 480000 | 1.1207 | 0.8653 | 0.8449 |
|
| 152 |
+
| 0.1932 | 25.92 | 485000 | 1.1172 | 0.8660 | 0.8465 |
|
| 153 |
+
| 0.1904 | 26.19 | 490000 | 1.1250 | 0.8651 | 0.8462 |
|
| 154 |
+
| 0.1892 | 26.46 | 495000 | 1.1171 | 0.8661 | 0.8470 |
|
| 155 |
+
| 0.196 | 26.72 | 500000 | 1.1207 | 0.8652 | 0.8456 |
|
| 156 |
+
| 0.1927 | 26.99 | 505000 | 1.1174 | 0.8651 | 0.8454 |
|
| 157 |
+
| 0.1888 | 27.26 | 510000 | 1.1183 | 0.8653 | 0.8457 |
|
| 158 |
+
| 0.1906 | 27.52 | 515000 | 1.1190 | 0.8646 | 0.8455 |
|
| 159 |
+
| 0.1854 | 27.79 | 520000 | 1.1098 | 0.8655 | 0.8450 |
|
| 160 |
+
| 0.1869 | 28.06 | 525000 | 1.1173 | 0.8658 | 0.8463 |
|
| 161 |
+
| 0.1829 | 28.33 | 530000 | 1.1157 | 0.8654 | 0.8453 |
|
| 162 |
+
| 0.1909 | 28.59 | 535000 | 1.1135 | 0.8655 | 0.8459 |
|
| 163 |
+
| 0.1853 | 28.86 | 540000 | 1.1103 | 0.8663 | 0.8475 |
|
| 164 |
+
| 0.1847 | 29.13 | 545000 | 1.1141 | 0.8651 | 0.8455 |
|
| 165 |
+
| 0.1814 | 29.39 | 550000 | 1.1101 | 0.8655 | 0.8456 |
|
| 166 |
+
| 0.1794 | 29.66 | 555000 | 1.1113 | 0.8657 | 0.8460 |
|
| 167 |
+
| 0.1842 | 29.93 | 560000 | 1.1139 | 0.8659 | 0.8466 |
|
| 168 |
+
|
| 169 |
+
|
| 170 |
+
### Framework versions
|
| 171 |
+
|
| 172 |
+
- Transformers 4.33.3
|
| 173 |
+
- Pytorch 2.1.1+cu121
|
| 174 |
+
- Datasets 2.14.5
|
| 175 |
+
- Tokenizers 0.13.3
|
config.json
ADDED
|
@@ -0,0 +1,159 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "haryoaw/scenario-MDBT-TCR_data-AmazonScience_massive_all_1_1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DebertaForSequenceClassificationKD"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"hidden_act": "gelu",
|
| 8 |
+
"hidden_dropout_prob": 0.1,
|
| 9 |
+
"hidden_size": 768,
|
| 10 |
+
"id2label": {
|
| 11 |
+
"0": "LABEL_0",
|
| 12 |
+
"1": "LABEL_1",
|
| 13 |
+
"2": "LABEL_2",
|
| 14 |
+
"3": "LABEL_3",
|
| 15 |
+
"4": "LABEL_4",
|
| 16 |
+
"5": "LABEL_5",
|
| 17 |
+
"6": "LABEL_6",
|
| 18 |
+
"7": "LABEL_7",
|
| 19 |
+
"8": "LABEL_8",
|
| 20 |
+
"9": "LABEL_9",
|
| 21 |
+
"10": "LABEL_10",
|
| 22 |
+
"11": "LABEL_11",
|
| 23 |
+
"12": "LABEL_12",
|
| 24 |
+
"13": "LABEL_13",
|
| 25 |
+
"14": "LABEL_14",
|
| 26 |
+
"15": "LABEL_15",
|
| 27 |
+
"16": "LABEL_16",
|
| 28 |
+
"17": "LABEL_17",
|
| 29 |
+
"18": "LABEL_18",
|
| 30 |
+
"19": "LABEL_19",
|
| 31 |
+
"20": "LABEL_20",
|
| 32 |
+
"21": "LABEL_21",
|
| 33 |
+
"22": "LABEL_22",
|
| 34 |
+
"23": "LABEL_23",
|
| 35 |
+
"24": "LABEL_24",
|
| 36 |
+
"25": "LABEL_25",
|
| 37 |
+
"26": "LABEL_26",
|
| 38 |
+
"27": "LABEL_27",
|
| 39 |
+
"28": "LABEL_28",
|
| 40 |
+
"29": "LABEL_29",
|
| 41 |
+
"30": "LABEL_30",
|
| 42 |
+
"31": "LABEL_31",
|
| 43 |
+
"32": "LABEL_32",
|
| 44 |
+
"33": "LABEL_33",
|
| 45 |
+
"34": "LABEL_34",
|
| 46 |
+
"35": "LABEL_35",
|
| 47 |
+
"36": "LABEL_36",
|
| 48 |
+
"37": "LABEL_37",
|
| 49 |
+
"38": "LABEL_38",
|
| 50 |
+
"39": "LABEL_39",
|
| 51 |
+
"40": "LABEL_40",
|
| 52 |
+
"41": "LABEL_41",
|
| 53 |
+
"42": "LABEL_42",
|
| 54 |
+
"43": "LABEL_43",
|
| 55 |
+
"44": "LABEL_44",
|
| 56 |
+
"45": "LABEL_45",
|
| 57 |
+
"46": "LABEL_46",
|
| 58 |
+
"47": "LABEL_47",
|
| 59 |
+
"48": "LABEL_48",
|
| 60 |
+
"49": "LABEL_49",
|
| 61 |
+
"50": "LABEL_50",
|
| 62 |
+
"51": "LABEL_51",
|
| 63 |
+
"52": "LABEL_52",
|
| 64 |
+
"53": "LABEL_53",
|
| 65 |
+
"54": "LABEL_54",
|
| 66 |
+
"55": "LABEL_55",
|
| 67 |
+
"56": "LABEL_56",
|
| 68 |
+
"57": "LABEL_57",
|
| 69 |
+
"58": "LABEL_58",
|
| 70 |
+
"59": "LABEL_59"
|
| 71 |
+
},
|
| 72 |
+
"initializer_range": 0.02,
|
| 73 |
+
"intermediate_size": 3072,
|
| 74 |
+
"label2id": {
|
| 75 |
+
"LABEL_0": 0,
|
| 76 |
+
"LABEL_1": 1,
|
| 77 |
+
"LABEL_10": 10,
|
| 78 |
+
"LABEL_11": 11,
|
| 79 |
+
"LABEL_12": 12,
|
| 80 |
+
"LABEL_13": 13,
|
| 81 |
+
"LABEL_14": 14,
|
| 82 |
+
"LABEL_15": 15,
|
| 83 |
+
"LABEL_16": 16,
|
| 84 |
+
"LABEL_17": 17,
|
| 85 |
+
"LABEL_18": 18,
|
| 86 |
+
"LABEL_19": 19,
|
| 87 |
+
"LABEL_2": 2,
|
| 88 |
+
"LABEL_20": 20,
|
| 89 |
+
"LABEL_21": 21,
|
| 90 |
+
"LABEL_22": 22,
|
| 91 |
+
"LABEL_23": 23,
|
| 92 |
+
"LABEL_24": 24,
|
| 93 |
+
"LABEL_25": 25,
|
| 94 |
+
"LABEL_26": 26,
|
| 95 |
+
"LABEL_27": 27,
|
| 96 |
+
"LABEL_28": 28,
|
| 97 |
+
"LABEL_29": 29,
|
| 98 |
+
"LABEL_3": 3,
|
| 99 |
+
"LABEL_30": 30,
|
| 100 |
+
"LABEL_31": 31,
|
| 101 |
+
"LABEL_32": 32,
|
| 102 |
+
"LABEL_33": 33,
|
| 103 |
+
"LABEL_34": 34,
|
| 104 |
+
"LABEL_35": 35,
|
| 105 |
+
"LABEL_36": 36,
|
| 106 |
+
"LABEL_37": 37,
|
| 107 |
+
"LABEL_38": 38,
|
| 108 |
+
"LABEL_39": 39,
|
| 109 |
+
"LABEL_4": 4,
|
| 110 |
+
"LABEL_40": 40,
|
| 111 |
+
"LABEL_41": 41,
|
| 112 |
+
"LABEL_42": 42,
|
| 113 |
+
"LABEL_43": 43,
|
| 114 |
+
"LABEL_44": 44,
|
| 115 |
+
"LABEL_45": 45,
|
| 116 |
+
"LABEL_46": 46,
|
| 117 |
+
"LABEL_47": 47,
|
| 118 |
+
"LABEL_48": 48,
|
| 119 |
+
"LABEL_49": 49,
|
| 120 |
+
"LABEL_5": 5,
|
| 121 |
+
"LABEL_50": 50,
|
| 122 |
+
"LABEL_51": 51,
|
| 123 |
+
"LABEL_52": 52,
|
| 124 |
+
"LABEL_53": 53,
|
| 125 |
+
"LABEL_54": 54,
|
| 126 |
+
"LABEL_55": 55,
|
| 127 |
+
"LABEL_56": 56,
|
| 128 |
+
"LABEL_57": 57,
|
| 129 |
+
"LABEL_58": 58,
|
| 130 |
+
"LABEL_59": 59,
|
| 131 |
+
"LABEL_6": 6,
|
| 132 |
+
"LABEL_7": 7,
|
| 133 |
+
"LABEL_8": 8,
|
| 134 |
+
"LABEL_9": 9
|
| 135 |
+
},
|
| 136 |
+
"layer_norm_eps": 1e-07,
|
| 137 |
+
"max_position_embeddings": 512,
|
| 138 |
+
"max_relative_positions": -1,
|
| 139 |
+
"model_type": "deberta-v2",
|
| 140 |
+
"norm_rel_ebd": "layer_norm",
|
| 141 |
+
"num_attention_heads": 12,
|
| 142 |
+
"num_hidden_layers": 6,
|
| 143 |
+
"pad_token_id": 0,
|
| 144 |
+
"pooler_dropout": 0,
|
| 145 |
+
"pooler_hidden_act": "gelu",
|
| 146 |
+
"pooler_hidden_size": 768,
|
| 147 |
+
"pos_att_type": [
|
| 148 |
+
"p2c",
|
| 149 |
+
"c2p"
|
| 150 |
+
],
|
| 151 |
+
"position_biased_input": false,
|
| 152 |
+
"position_buckets": 256,
|
| 153 |
+
"relative_attention": true,
|
| 154 |
+
"share_att_key": true,
|
| 155 |
+
"torch_dtype": "float32",
|
| 156 |
+
"transformers_version": "4.33.3",
|
| 157 |
+
"type_vocab_size": 0,
|
| 158 |
+
"vocab_size": 251000
|
| 159 |
+
}
|
eval_results_ml.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"km-KH": {"f1": 0.7611961476733919, "accuracy": 0.7958977807666443}, "cy-GB": {"f1": 0.7914203485756629, "accuracy": 0.8507061197041023}, "ja-JP": {"f1": 0.8363121028473876, "accuracy": 0.8826496301277741}, "az-AZ": {"f1": 0.8403102118858833, "accuracy": 0.8735709482178884}, "af-ZA": {"f1": 0.8304238763856235, "accuracy": 0.8782784129119031}, "en-US": {"f1": 0.8569278074939414, "accuracy": 0.8917283120376597}, "it-IT": {"f1": 0.8315701789013726, "accuracy": 0.8759246805648958}, "zh-CN": {"f1": 0.8176455550666916, "accuracy": 0.8624747814391392}, "ta-IN": {"f1": 0.8253357286616485, "accuracy": 0.8587760591795561}, "ca-ES": {"f1": 0.8281170799905542, "accuracy": 0.8715534633490248}, "da-DK": {"f1": 0.8393952212461316, "accuracy": 0.8823133826496301}, "is-IS": {"f1": 0.8255887178500697, "accuracy": 0.863483523873571}, "pt-PT": {"f1": 0.8327142111005555, "accuracy": 0.878950907868191}, "fi-FI": {"f1": 0.8093813599428811, "accuracy": 0.859448554135844}, "de-DE": {"f1": 0.8260137312936836, "accuracy": 0.8698722259583053}, "id-ID": {"f1": 0.83010746925642, "accuracy": 0.8702084734364492}, "hu-HU": {"f1": 0.8208048879542581, "accuracy": 0.8725622057834567}, "ur-PK": {"f1": 0.7987002392622079, "accuracy": 0.8537323470073974}, "nl-NL": {"f1": 0.8357890337878925, "accuracy": 0.878950907868191}, "sq-AL": {"f1": 0.8315304160978993, "accuracy": 0.8678547410894418}, "tr-TR": {"f1": 0.8268939397650142, "accuracy": 0.8718897108271688}, "ml-IN": {"f1": 0.8180441407015506, "accuracy": 0.863483523873571}, "my-MM": {"f1": 0.8201940210169766, "accuracy": 0.8614660390047074}, "sw-KE": {"f1": 0.8107076915101216, "accuracy": 0.8564223268325487}, "jv-ID": {"f1": 0.8287536825308965, "accuracy": 0.855749831876261}, "pl-PL": {"f1": 0.8465187133176456, "accuracy": 0.8755884330867518}, "th-TH": {"f1": 0.8446697081723683, "accuracy": 0.8618022864828514}, "am-ET": {"f1": 0.7827216161207514, "accuracy": 0.8402824478816409}, "sv-SE": {"f1": 0.8381677336663876, "accuracy": 0.8833221250840618}, "nb-NO": {"f1": 0.8374313971963855, "accuracy": 0.878950907868191}, "kn-IN": {"f1": 0.811973058366813, "accuracy": 0.8550773369199731}, "ru-RU": {"f1": 0.8381077207957155, "accuracy": 0.8765971755211835}, "he-IL": {"f1": 0.8242433774340995, "accuracy": 0.8628110289172831}, "mn-MN": {"f1": 0.816137546341963, "accuracy": 0.8587760591795561}, "hy-AM": {"f1": 0.8131757212770996, "accuracy": 0.8581035642232683}, "hi-IN": {"f1": 0.8189975255418972, "accuracy": 0.871217215870881}, "tl-PH": {"f1": 0.8208334490938679, "accuracy": 0.8587760591795561}, "ro-RO": {"f1": 0.8266994335065792, "accuracy": 0.8732347007397444}, "te-IN": {"f1": 0.8246278686024511, "accuracy": 0.8607935440484197}, "bn-BD": {"f1": 0.8205185573888092, "accuracy": 0.8601210490921318}, "ar-SA": {"f1": 0.8030137114405768, "accuracy": 0.8271687962340283}, "lv-LV": {"f1": 0.834501915752714, "accuracy": 0.8688634835238735}, "fa-IR": {"f1": 0.8275740853190123, "accuracy": 0.8782784129119031}, "ms-MY": {"f1": 0.8333480807568078, "accuracy": 0.8722259583053127}, "zh-TW": {"f1": 0.8176351550920634, "accuracy": 0.8456624075319435}, "es-ES": {"f1": 0.8538587008302448, "accuracy": 0.8802958977807667}, "ka-GE": {"f1": 0.7881337029370179, "accuracy": 0.8234700739744452}, "fr-FR": {"f1": 0.8260789739257974, "accuracy": 0.8772696704774714}, "el-GR": {"f1": 0.8384850078633445, "accuracy": 0.8722259583053127}, "vi-VN": {"f1": 0.8214004485117905, "accuracy": 0.8688634835238735}, "ko-KR": {"f1": 0.8446832611744346, "accuracy": 0.8695359784801614}, "sl-SL": {"f1": 0.8138614113192358, "accuracy": 0.8641560188298588}, "all": {"f1": 0.8227516640843044, "accuracy": 0.8649125756556826}}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d27d9f23b5a427143be452899b153ef2be0ab296a42340e4e9fe2dea39972de
|
| 3 |
+
size 946915690
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bedd29fa2dc0d3eb600af2d47c835dee3bfea16a48c05f6b9275a28162533de9
|
| 3 |
+
size 4600
|