Hugging Face's logo

Yeji-Seong
/
distilbert-base-uncased-tokenclassification_lora

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Metrics Community
Yeji-Seong commited on
Commit
c36f328
·
verified ·
1 Parent(s): 1ead67b

End of training

Browse files
Files changed (2) hide show
  1. README.md +55 -55
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.2271
25
- - Precision: 0.6508
26
- - Recall: 0.4569
27
- - F1: 0.5369
28
- - Accuracy: 0.9499
29
 
30
  ## Model description
31
 
@@ -56,56 +56,56 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
58
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
59
- | No log | 1.0 | 213 | 0.4720 | 0.0 | 0.0 | 0.0 | 0.9205 |
60
- | No log | 2.0 | 426 | 0.4277 | 0.0 | 0.0 | 0.0 | 0.9205 |
61
- | 0.7721 | 3.0 | 639 | 0.3571 | 0.0 | 0.0 | 0.0 | 0.9205 |
62
- | 0.7721 | 4.0 | 852 | 0.3260 | 0.1818 | 0.0024 | 0.0047 | 0.9207 |
63
- | 0.2205 | 5.0 | 1065 | 0.3117 | 0.2868 | 0.0443 | 0.0767 | 0.9245 |
64
- | 0.2205 | 6.0 | 1278 | 0.3038 | 0.3644 | 0.1077 | 0.1662 | 0.9285 |
65
- | 0.2205 | 7.0 | 1491 | 0.2997 | 0.3854 | 0.1328 | 0.1975 | 0.9301 |
66
- | 0.1905 | 8.0 | 1704 | 0.2960 | 0.4263 | 0.1902 | 0.2630 | 0.9331 |
67
- | 0.1905 | 9.0 | 1917 | 0.2795 | 0.4469 | 0.2620 | 0.3303 | 0.9369 |
68
- | 0.1725 | 10.0 | 2130 | 0.2806 | 0.4607 | 0.2667 | 0.3379 | 0.9376 |
69
- | 0.1725 | 11.0 | 2343 | 0.2693 | 0.4614 | 0.3002 | 0.3638 | 0.9392 |
70
- | 0.1651 | 12.0 | 2556 | 0.2736 | 0.4779 | 0.2978 | 0.3670 | 0.9392 |
71
- | 0.1651 | 13.0 | 2769 | 0.2638 | 0.4946 | 0.3301 | 0.3960 | 0.9407 |
72
- | 0.1651 | 14.0 | 2982 | 0.2645 | 0.5294 | 0.3230 | 0.4012 | 0.9407 |
73
- | 0.1507 | 15.0 | 3195 | 0.2619 | 0.5399 | 0.3397 | 0.4170 | 0.9416 |
74
- | 0.1507 | 16.0 | 3408 | 0.2579 | 0.5630 | 0.3529 | 0.4338 | 0.9423 |
75
- | 0.1426 | 17.0 | 3621 | 0.2513 | 0.5717 | 0.3624 | 0.4436 | 0.9430 |
76
- | 0.1426 | 18.0 | 3834 | 0.2476 | 0.5686 | 0.3768 | 0.4532 | 0.9437 |
77
- | 0.136 | 19.0 | 4047 | 0.2463 | 0.5871 | 0.3911 | 0.4695 | 0.9445 |
78
- | 0.136 | 20.0 | 4260 | 0.2487 | 0.6185 | 0.3840 | 0.4738 | 0.9445 |
79
- | 0.136 | 21.0 | 4473 | 0.2448 | 0.6157 | 0.3947 | 0.4810 | 0.9451 |
80
- | 0.1302 | 22.0 | 4686 | 0.2431 | 0.6271 | 0.3983 | 0.4872 | 0.9459 |
81
- | 0.1302 | 23.0 | 4899 | 0.2352 | 0.6195 | 0.4187 | 0.4996 | 0.9464 |
82
- | 0.1268 | 24.0 | 5112 | 0.2393 | 0.6362 | 0.4163 | 0.5033 | 0.9467 |
83
- | 0.1268 | 25.0 | 5325 | 0.2413 | 0.6477 | 0.4091 | 0.5015 | 0.9467 |
84
- | 0.1216 | 26.0 | 5538 | 0.2344 | 0.6444 | 0.4270 | 0.5137 | 0.9475 |
85
- | 0.1216 | 27.0 | 5751 | 0.2351 | 0.6491 | 0.4270 | 0.5152 | 0.9475 |
86
- | 0.1216 | 28.0 | 5964 | 0.2306 | 0.6357 | 0.4426 | 0.5219 | 0.9484 |
87
- | 0.1174 | 29.0 | 6177 | 0.2341 | 0.65 | 0.4354 | 0.5215 | 0.9482 |
88
- | 0.1174 | 30.0 | 6390 | 0.2334 | 0.6501 | 0.4378 | 0.5232 | 0.9483 |
89
- | 0.1149 | 31.0 | 6603 | 0.2316 | 0.6390 | 0.4426 | 0.5230 | 0.9488 |
90
- | 0.1149 | 32.0 | 6816 | 0.2324 | 0.6435 | 0.4426 | 0.5245 | 0.9486 |
91
- | 0.1129 | 33.0 | 7029 | 0.2345 | 0.6570 | 0.4330 | 0.5220 | 0.9484 |
92
- | 0.1129 | 34.0 | 7242 | 0.2339 | 0.6465 | 0.4354 | 0.5204 | 0.9482 |
93
- | 0.1129 | 35.0 | 7455 | 0.2326 | 0.6490 | 0.4402 | 0.5246 | 0.9489 |
94
- | 0.1112 | 36.0 | 7668 | 0.2288 | 0.6489 | 0.4510 | 0.5321 | 0.9494 |
95
- | 0.1112 | 37.0 | 7881 | 0.2295 | 0.6512 | 0.4533 | 0.5346 | 0.9495 |
96
- | 0.1089 | 38.0 | 8094 | 0.2292 | 0.6462 | 0.4522 | 0.5320 | 0.9496 |
97
- | 0.1089 | 39.0 | 8307 | 0.2268 | 0.6491 | 0.4557 | 0.5355 | 0.9498 |
98
- | 0.1076 | 40.0 | 8520 | 0.2317 | 0.6510 | 0.4486 | 0.5312 | 0.9494 |
99
- | 0.1076 | 41.0 | 8733 | 0.2283 | 0.6467 | 0.4510 | 0.5314 | 0.9495 |
100
- | 0.1076 | 42.0 | 8946 | 0.2281 | 0.6519 | 0.4569 | 0.5373 | 0.9500 |
101
- | 0.1079 | 43.0 | 9159 | 0.2276 | 0.6492 | 0.4581 | 0.5372 | 0.9500 |
102
- | 0.1079 | 44.0 | 9372 | 0.2265 | 0.6486 | 0.4593 | 0.5378 | 0.9500 |
103
- | 0.1039 | 45.0 | 9585 | 0.2272 | 0.6486 | 0.4569 | 0.5361 | 0.9499 |
104
- | 0.1039 | 46.0 | 9798 | 0.2274 | 0.6546 | 0.4533 | 0.5357 | 0.9499 |
105
- | 0.1058 | 47.0 | 10011 | 0.2261 | 0.6514 | 0.4605 | 0.5396 | 0.9501 |
106
- | 0.1058 | 48.0 | 10224 | 0.2268 | 0.6503 | 0.4581 | 0.5375 | 0.9500 |
107
- | 0.1058 | 49.0 | 10437 | 0.2274 | 0.6519 | 0.4569 | 0.5373 | 0.9500 |
108
- | 0.1064 | 50.0 | 10650 | 0.2271 | 0.6508 | 0.4569 | 0.5369 | 0.9499 |
109
 
110
 
111
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.2286
25
+ - Precision: 0.6655
26
+ - Recall: 0.4474
27
+ - F1: 0.5351
28
+ - Accuracy: 0.9493
29
 
30
  ## Model description
31
 
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
58
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
59
+ | No log | 1.0 | 213 | 0.4882 | 0.0 | 0.0 | 0.0 | 0.9205 |
60
+ | No log | 2.0 | 426 | 0.4615 | 0.0 | 0.0 | 0.0 | 0.9205 |
61
+ | 0.9185 | 3.0 | 639 | 0.4220 | 0.0 | 0.0 | 0.0 | 0.9205 |
62
+ | 0.9185 | 4.0 | 852 | 0.3565 | 0.0 | 0.0 | 0.0 | 0.9205 |
63
+ | 0.25 | 5.0 | 1065 | 0.3219 | 0.25 | 0.0012 | 0.0024 | 0.9207 |
64
+ | 0.25 | 6.0 | 1278 | 0.3121 | 0.4737 | 0.0323 | 0.0605 | 0.9231 |
65
+ | 0.25 | 7.0 | 1491 | 0.3071 | 0.4783 | 0.0658 | 0.1157 | 0.9256 |
66
+ | 0.1979 | 8.0 | 1704 | 0.3015 | 0.4695 | 0.1196 | 0.1907 | 0.9290 |
67
+ | 0.1979 | 9.0 | 1917 | 0.2841 | 0.4871 | 0.2033 | 0.2869 | 0.9342 |
68
+ | 0.1775 | 10.0 | 2130 | 0.2823 | 0.4932 | 0.2177 | 0.3021 | 0.9349 |
69
+ | 0.1775 | 11.0 | 2343 | 0.2729 | 0.5090 | 0.2703 | 0.3531 | 0.9374 |
70
+ | 0.1691 | 12.0 | 2556 | 0.2731 | 0.5273 | 0.2775 | 0.3636 | 0.9382 |
71
+ | 0.1691 | 13.0 | 2769 | 0.2644 | 0.5660 | 0.3182 | 0.4074 | 0.9402 |
72
+ | 0.1691 | 14.0 | 2982 | 0.2648 | 0.6107 | 0.3134 | 0.4142 | 0.9402 |
73
+ | 0.1546 | 15.0 | 3195 | 0.2611 | 0.6388 | 0.3469 | 0.4496 | 0.9419 |
74
+ | 0.1546 | 16.0 | 3408 | 0.2570 | 0.6409 | 0.3565 | 0.4581 | 0.9431 |
75
+ | 0.1461 | 17.0 | 3621 | 0.2515 | 0.6541 | 0.3732 | 0.4752 | 0.9444 |
76
+ | 0.1461 | 18.0 | 3834 | 0.2461 | 0.6415 | 0.3959 | 0.4896 | 0.9456 |
77
+ | 0.1382 | 19.0 | 4047 | 0.2434 | 0.6452 | 0.4067 | 0.4989 | 0.9463 |
78
+ | 0.1382 | 20.0 | 4260 | 0.2464 | 0.6673 | 0.3983 | 0.4989 | 0.9457 |
79
+ | 0.1382 | 21.0 | 4473 | 0.2429 | 0.6767 | 0.4031 | 0.5052 | 0.9460 |
80
+ | 0.1324 | 22.0 | 4686 | 0.2411 | 0.684 | 0.4091 | 0.5120 | 0.9462 |
81
+ | 0.1324 | 23.0 | 4899 | 0.2336 | 0.6654 | 0.4306 | 0.5229 | 0.9475 |
82
+ | 0.129 | 24.0 | 5112 | 0.2411 | 0.6737 | 0.4175 | 0.5155 | 0.9469 |
83
+ | 0.129 | 25.0 | 5325 | 0.2385 | 0.6901 | 0.4234 | 0.5248 | 0.9473 |
84
+ | 0.1235 | 26.0 | 5538 | 0.2328 | 0.6843 | 0.4330 | 0.5304 | 0.9482 |
85
+ | 0.1235 | 27.0 | 5751 | 0.2343 | 0.6877 | 0.4294 | 0.5287 | 0.9481 |
86
+ | 0.1235 | 28.0 | 5964 | 0.2300 | 0.6649 | 0.4462 | 0.5340 | 0.9488 |
87
+ | 0.1195 | 29.0 | 6177 | 0.2323 | 0.6790 | 0.4378 | 0.5324 | 0.9483 |
88
+ | 0.1195 | 30.0 | 6390 | 0.2351 | 0.6869 | 0.4330 | 0.5312 | 0.9482 |
89
+ | 0.1179 | 31.0 | 6603 | 0.2329 | 0.6811 | 0.4342 | 0.5303 | 0.9482 |
90
+ | 0.1179 | 32.0 | 6816 | 0.2326 | 0.6779 | 0.4330 | 0.5285 | 0.9482 |
91
+ | 0.1156 | 33.0 | 7029 | 0.2326 | 0.6807 | 0.4258 | 0.5239 | 0.9481 |
92
+ | 0.1156 | 34.0 | 7242 | 0.2328 | 0.6870 | 0.4306 | 0.5294 | 0.9481 |
93
+ | 0.1156 | 35.0 | 7455 | 0.2327 | 0.6716 | 0.4354 | 0.5283 | 0.9484 |
94
+ | 0.114 | 36.0 | 7668 | 0.2290 | 0.6614 | 0.4486 | 0.5346 | 0.9492 |
95
+ | 0.114 | 37.0 | 7881 | 0.2275 | 0.6597 | 0.4522 | 0.5366 | 0.9495 |
96
+ | 0.1121 | 38.0 | 8094 | 0.2285 | 0.6643 | 0.4498 | 0.5364 | 0.9493 |
97
+ | 0.1121 | 39.0 | 8307 | 0.2275 | 0.6626 | 0.4533 | 0.5384 | 0.9495 |
98
+ | 0.1113 | 40.0 | 8520 | 0.2323 | 0.6784 | 0.4390 | 0.5330 | 0.9488 |
99
+ | 0.1113 | 41.0 | 8733 | 0.2289 | 0.6715 | 0.4450 | 0.5353 | 0.9491 |
100
+ | 0.1113 | 42.0 | 8946 | 0.2281 | 0.6696 | 0.4510 | 0.5390 | 0.9494 |
101
+ | 0.1111 | 43.0 | 9159 | 0.2284 | 0.6625 | 0.4486 | 0.5350 | 0.9493 |
102
+ | 0.1111 | 44.0 | 9372 | 0.2270 | 0.6591 | 0.4510 | 0.5355 | 0.9495 |
103
+ | 0.1077 | 45.0 | 9585 | 0.2291 | 0.6667 | 0.4474 | 0.5354 | 0.9493 |
104
+ | 0.1077 | 46.0 | 9798 | 0.2289 | 0.6691 | 0.4450 | 0.5345 | 0.9492 |
105
+ | 0.1089 | 47.0 | 10011 | 0.2272 | 0.6591 | 0.4510 | 0.5355 | 0.9495 |
106
+ | 0.1089 | 48.0 | 10224 | 0.2283 | 0.6661 | 0.4486 | 0.5361 | 0.9493 |
107
+ | 0.1089 | 49.0 | 10437 | 0.2286 | 0.6655 | 0.4474 | 0.5351 | 0.9493 |
108
+ | 0.1097 | 50.0 | 10650 | 0.2286 | 0.6655 | 0.4474 | 0.5351 | 0.9493 |
109
 
110
 
111
  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f75c1c7bd5f6aad335193ad623f77369ea56567eb855e32334363f13e0ce5443
3
  size 2402996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac013a82b822eeae22d52e41624576eb851b835757e427872327dab5bce1678e
3
  size 2402996