Initial Commit
Browse files- README.md +175 -0
- config.json +159 -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: microsoft/mdeberta-v3-base
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- massive
|
8 |
+
metrics:
|
9 |
+
- accuracy
|
10 |
+
- f1
|
11 |
+
model-index:
|
12 |
+
- name: scenario-KD-PR-MSV-D2_data-AmazonScience_massive_all_1_166
|
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-PR-MSV-D2_data-AmazonScience_massive_all_1_166
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the massive dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 1.5394
|
24 |
+
- Accuracy: 0.8627
|
25 |
+
- F1: 0.8453
|
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: 66
|
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 |
+
| 3.4018 | 0.27 | 5000 | 3.3570 | 0.7587 | 0.6728 |
|
57 |
+
| 2.4831 | 0.53 | 10000 | 2.6998 | 0.8028 | 0.7596 |
|
58 |
+
| 2.1077 | 0.8 | 15000 | 2.4164 | 0.8202 | 0.7862 |
|
59 |
+
| 1.5375 | 1.07 | 20000 | 2.2821 | 0.8317 | 0.8012 |
|
60 |
+
| 1.4474 | 1.34 | 25000 | 2.2615 | 0.8325 | 0.8043 |
|
61 |
+
| 1.3836 | 1.6 | 30000 | 2.1448 | 0.8366 | 0.8133 |
|
62 |
+
| 1.2782 | 1.87 | 35000 | 2.1212 | 0.8390 | 0.8135 |
|
63 |
+
| 0.983 | 2.14 | 40000 | 2.0840 | 0.8429 | 0.8209 |
|
64 |
+
| 0.9416 | 2.41 | 45000 | 2.1779 | 0.8422 | 0.8206 |
|
65 |
+
| 0.9138 | 2.67 | 50000 | 2.0942 | 0.8447 | 0.8247 |
|
66 |
+
| 0.9093 | 2.94 | 55000 | 2.0603 | 0.8454 | 0.8196 |
|
67 |
+
| 0.7465 | 3.21 | 60000 | 2.0972 | 0.8441 | 0.8245 |
|
68 |
+
| 0.6996 | 3.47 | 65000 | 2.0355 | 0.8475 | 0.8270 |
|
69 |
+
| 0.7454 | 3.74 | 70000 | 1.9610 | 0.8487 | 0.8298 |
|
70 |
+
| 0.6906 | 4.01 | 75000 | 2.0084 | 0.8467 | 0.8288 |
|
71 |
+
| 0.6203 | 4.28 | 80000 | 1.9601 | 0.8498 | 0.8306 |
|
72 |
+
| 0.6039 | 4.54 | 85000 | 1.9766 | 0.8509 | 0.8347 |
|
73 |
+
| 0.616 | 4.81 | 90000 | 1.9302 | 0.8518 | 0.8295 |
|
74 |
+
| 0.5404 | 5.08 | 95000 | 1.9323 | 0.8512 | 0.8301 |
|
75 |
+
| 0.5448 | 5.34 | 100000 | 1.9360 | 0.8533 | 0.8383 |
|
76 |
+
| 0.5377 | 5.61 | 105000 | 1.9353 | 0.8511 | 0.8292 |
|
77 |
+
| 0.5373 | 5.88 | 110000 | 1.9015 | 0.8506 | 0.8318 |
|
78 |
+
| 0.4744 | 6.15 | 115000 | 1.9116 | 0.8527 | 0.8333 |
|
79 |
+
| 0.4885 | 6.41 | 120000 | 1.8676 | 0.8543 | 0.8370 |
|
80 |
+
| 0.4886 | 6.68 | 125000 | 1.8716 | 0.8546 | 0.8344 |
|
81 |
+
| 0.4861 | 6.95 | 130000 | 1.8664 | 0.8535 | 0.8319 |
|
82 |
+
| 0.4488 | 7.22 | 135000 | 1.8560 | 0.8547 | 0.8376 |
|
83 |
+
| 0.426 | 7.48 | 140000 | 1.8350 | 0.8535 | 0.8334 |
|
84 |
+
| 0.4451 | 7.75 | 145000 | 1.8258 | 0.8544 | 0.8333 |
|
85 |
+
| 0.4299 | 8.02 | 150000 | 1.8220 | 0.8560 | 0.8370 |
|
86 |
+
| 0.4207 | 8.28 | 155000 | 1.8048 | 0.8559 | 0.8373 |
|
87 |
+
| 0.4033 | 8.55 | 160000 | 1.8295 | 0.8538 | 0.8367 |
|
88 |
+
| 0.4039 | 8.82 | 165000 | 1.7818 | 0.8566 | 0.8391 |
|
89 |
+
| 0.3874 | 9.09 | 170000 | 1.7857 | 0.8563 | 0.8391 |
|
90 |
+
| 0.3843 | 9.35 | 175000 | 1.7860 | 0.8548 | 0.8374 |
|
91 |
+
| 0.3882 | 9.62 | 180000 | 1.8074 | 0.8558 | 0.8374 |
|
92 |
+
| 0.3866 | 9.89 | 185000 | 1.7823 | 0.8583 | 0.8404 |
|
93 |
+
| 0.36 | 10.15 | 190000 | 1.7294 | 0.8571 | 0.8375 |
|
94 |
+
| 0.3592 | 10.42 | 195000 | 1.7363 | 0.8578 | 0.8399 |
|
95 |
+
| 0.3628 | 10.69 | 200000 | 1.7460 | 0.8582 | 0.8385 |
|
96 |
+
| 0.3579 | 10.96 | 205000 | 1.7431 | 0.8580 | 0.8399 |
|
97 |
+
| 0.3448 | 11.22 | 210000 | 1.7398 | 0.8564 | 0.8378 |
|
98 |
+
| 0.3512 | 11.49 | 215000 | 1.7193 | 0.8584 | 0.8402 |
|
99 |
+
| 0.3367 | 11.76 | 220000 | 1.7197 | 0.8594 | 0.8425 |
|
100 |
+
| 0.327 | 12.03 | 225000 | 1.7189 | 0.8576 | 0.8385 |
|
101 |
+
| 0.3248 | 12.29 | 230000 | 1.6991 | 0.8602 | 0.8398 |
|
102 |
+
| 0.3306 | 12.56 | 235000 | 1.7119 | 0.8577 | 0.8404 |
|
103 |
+
| 0.3181 | 12.83 | 240000 | 1.6892 | 0.8606 | 0.8414 |
|
104 |
+
| 0.3167 | 13.09 | 245000 | 1.6647 | 0.8590 | 0.8380 |
|
105 |
+
| 0.3149 | 13.36 | 250000 | 1.6780 | 0.8590 | 0.8414 |
|
106 |
+
| 0.3221 | 13.63 | 255000 | 1.6626 | 0.8601 | 0.8437 |
|
107 |
+
| 0.3147 | 13.9 | 260000 | 1.7135 | 0.8595 | 0.8418 |
|
108 |
+
| 0.2954 | 14.16 | 265000 | 1.6915 | 0.8581 | 0.8390 |
|
109 |
+
| 0.2912 | 14.43 | 270000 | 1.6699 | 0.8582 | 0.8392 |
|
110 |
+
| 0.3123 | 14.7 | 275000 | 1.6659 | 0.8589 | 0.8399 |
|
111 |
+
| 0.3047 | 14.96 | 280000 | 1.6654 | 0.8610 | 0.8443 |
|
112 |
+
| 0.2916 | 15.23 | 285000 | 1.6408 | 0.8600 | 0.8421 |
|
113 |
+
| 0.282 | 15.5 | 290000 | 1.6729 | 0.8580 | 0.8405 |
|
114 |
+
| 0.2843 | 15.77 | 295000 | 1.6475 | 0.8600 | 0.8416 |
|
115 |
+
| 0.2764 | 16.03 | 300000 | 1.6342 | 0.8607 | 0.8426 |
|
116 |
+
| 0.2726 | 16.3 | 305000 | 1.6541 | 0.8597 | 0.8425 |
|
117 |
+
| 0.2895 | 16.57 | 310000 | 1.6280 | 0.8597 | 0.8413 |
|
118 |
+
| 0.2744 | 16.84 | 315000 | 1.6453 | 0.8607 | 0.8422 |
|
119 |
+
| 0.2727 | 17.1 | 320000 | 1.6319 | 0.8600 | 0.8432 |
|
120 |
+
| 0.2708 | 17.37 | 325000 | 1.6395 | 0.8599 | 0.8427 |
|
121 |
+
| 0.271 | 17.64 | 330000 | 1.6232 | 0.8600 | 0.8403 |
|
122 |
+
| 0.2695 | 17.9 | 335000 | 1.6294 | 0.8597 | 0.8419 |
|
123 |
+
| 0.2698 | 18.17 | 340000 | 1.6158 | 0.8620 | 0.8438 |
|
124 |
+
| 0.2582 | 18.44 | 345000 | 1.6214 | 0.8625 | 0.8448 |
|
125 |
+
| 0.2614 | 18.71 | 350000 | 1.6112 | 0.8610 | 0.8431 |
|
126 |
+
| 0.2583 | 18.97 | 355000 | 1.5978 | 0.8620 | 0.8440 |
|
127 |
+
| 0.258 | 19.24 | 360000 | 1.5902 | 0.8623 | 0.8446 |
|
128 |
+
| 0.2498 | 19.51 | 365000 | 1.6081 | 0.8611 | 0.8427 |
|
129 |
+
| 0.2569 | 19.77 | 370000 | 1.6165 | 0.8604 | 0.8420 |
|
130 |
+
| 0.2395 | 20.04 | 375000 | 1.5880 | 0.8614 | 0.8433 |
|
131 |
+
| 0.2527 | 20.31 | 380000 | 1.6055 | 0.8599 | 0.8428 |
|
132 |
+
| 0.2504 | 20.58 | 385000 | 1.5929 | 0.8614 | 0.8443 |
|
133 |
+
| 0.2494 | 20.84 | 390000 | 1.5841 | 0.8624 | 0.8444 |
|
134 |
+
| 0.2434 | 21.11 | 395000 | 1.5833 | 0.8614 | 0.8446 |
|
135 |
+
| 0.243 | 21.38 | 400000 | 1.5739 | 0.8619 | 0.8438 |
|
136 |
+
| 0.2389 | 21.65 | 405000 | 1.5816 | 0.8619 | 0.8438 |
|
137 |
+
| 0.2467 | 21.91 | 410000 | 1.5844 | 0.8616 | 0.8439 |
|
138 |
+
| 0.2352 | 22.18 | 415000 | 1.5748 | 0.8628 | 0.8446 |
|
139 |
+
| 0.2323 | 22.45 | 420000 | 1.5654 | 0.8623 | 0.8427 |
|
140 |
+
| 0.2314 | 22.71 | 425000 | 1.5537 | 0.8627 | 0.8449 |
|
141 |
+
| 0.238 | 22.98 | 430000 | 1.5613 | 0.8624 | 0.8424 |
|
142 |
+
| 0.223 | 23.25 | 435000 | 1.5661 | 0.8626 | 0.8441 |
|
143 |
+
| 0.2287 | 23.52 | 440000 | 1.5714 | 0.8627 | 0.8447 |
|
144 |
+
| 0.239 | 23.78 | 445000 | 1.5594 | 0.8634 | 0.8455 |
|
145 |
+
| 0.2275 | 24.05 | 450000 | 1.5629 | 0.8615 | 0.8436 |
|
146 |
+
| 0.2232 | 24.32 | 455000 | 1.5725 | 0.8618 | 0.8451 |
|
147 |
+
| 0.2267 | 24.58 | 460000 | 1.5550 | 0.8627 | 0.8455 |
|
148 |
+
| 0.2248 | 24.85 | 465000 | 1.5574 | 0.8633 | 0.8455 |
|
149 |
+
| 0.2214 | 25.12 | 470000 | 1.5602 | 0.8613 | 0.8432 |
|
150 |
+
| 0.2205 | 25.39 | 475000 | 1.5599 | 0.8617 | 0.8432 |
|
151 |
+
| 0.2189 | 25.65 | 480000 | 1.5395 | 0.8620 | 0.8452 |
|
152 |
+
| 0.2174 | 25.92 | 485000 | 1.5577 | 0.8625 | 0.8445 |
|
153 |
+
| 0.2148 | 26.19 | 490000 | 1.5533 | 0.8628 | 0.8457 |
|
154 |
+
| 0.2175 | 26.46 | 495000 | 1.5496 | 0.8619 | 0.8443 |
|
155 |
+
| 0.2121 | 26.72 | 500000 | 1.5509 | 0.8617 | 0.8443 |
|
156 |
+
| 0.2163 | 26.99 | 505000 | 1.5560 | 0.8624 | 0.8453 |
|
157 |
+
| 0.211 | 27.26 | 510000 | 1.5491 | 0.8629 | 0.8459 |
|
158 |
+
| 0.2142 | 27.52 | 515000 | 1.5576 | 0.8607 | 0.8438 |
|
159 |
+
| 0.2084 | 27.79 | 520000 | 1.5522 | 0.8624 | 0.8456 |
|
160 |
+
| 0.2119 | 28.06 | 525000 | 1.5429 | 0.8621 | 0.8449 |
|
161 |
+
| 0.2008 | 28.33 | 530000 | 1.5452 | 0.8627 | 0.8465 |
|
162 |
+
| 0.2084 | 28.59 | 535000 | 1.5458 | 0.8628 | 0.8464 |
|
163 |
+
| 0.2086 | 28.86 | 540000 | 1.5454 | 0.8622 | 0.8446 |
|
164 |
+
| 0.2102 | 29.13 | 545000 | 1.5487 | 0.8622 | 0.8449 |
|
165 |
+
| 0.2118 | 29.39 | 550000 | 1.5448 | 0.8621 | 0.8451 |
|
166 |
+
| 0.2049 | 29.66 | 555000 | 1.5411 | 0.8626 | 0.8454 |
|
167 |
+
| 0.2026 | 29.93 | 560000 | 1.5394 | 0.8627 | 0.8453 |
|
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": "microsoft/mdeberta-v3-base",
|
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 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c33068fbbb01b0aa84b2472b00f118aaad990800e8bd3fb3b5315a290cd240b4
|
3 |
+
size 946915690
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5fdcd1076d3e0ab36e14063e58207a7a7fe5f7b8fb6c8a1ee41c1dd6cd702d17
|
3 |
+
size 4600
|