Initial Commit
Browse files- README.md +42 -42
- eval_result_ner.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
---
|
2 |
-
base_model: haryoaw/scenario-TCR-NER_data-univner_full
|
3 |
library_name: transformers
|
4 |
license: mit
|
|
|
|
|
|
|
5 |
metrics:
|
6 |
- precision
|
7 |
- recall
|
8 |
- f1
|
9 |
- accuracy
|
10 |
-
tags:
|
11 |
-
- generated_from_trainer
|
12 |
model-index:
|
13 |
- name: scenario-kd-scr-ner-half-xlmr_data-univner_full66
|
14 |
results: []
|
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
21 |
|
22 |
This model is a fine-tuned version of [haryoaw/scenario-TCR-NER_data-univner_full](https://huggingface.co/haryoaw/scenario-TCR-NER_data-univner_full) on the None dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
-
- Loss:
|
25 |
-
- Precision: 0.
|
26 |
-
- Recall: 0.
|
27 |
-
- F1: 0.
|
28 |
-
- Accuracy: 0.
|
29 |
|
30 |
## Model description
|
31 |
|
@@ -58,40 +58,40 @@ The following hyperparameters were used during training:
|
|
58 |
|
59 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
60 |
|:-------------:|:------:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
61 |
-
|
|
62 |
-
|
|
63 |
-
|
|
64 |
-
|
|
65 |
-
|
|
66 |
-
|
|
67 |
-
|
|
68 |
-
|
|
69 |
-
|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
|
96 |
|
97 |
### Framework versions
|
|
|
1 |
---
|
|
|
2 |
library_name: transformers
|
3 |
license: mit
|
4 |
+
base_model: haryoaw/scenario-TCR-NER_data-univner_full
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
metrics:
|
8 |
- precision
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
|
|
|
|
12 |
model-index:
|
13 |
- name: scenario-kd-scr-ner-half-xlmr_data-univner_full66
|
14 |
results: []
|
|
|
21 |
|
22 |
This model is a fine-tuned version of [haryoaw/scenario-TCR-NER_data-univner_full](https://huggingface.co/haryoaw/scenario-TCR-NER_data-univner_full) on the None dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: 120.2460
|
25 |
+
- Precision: 0.4418
|
26 |
+
- Recall: 0.4111
|
27 |
+
- F1: 0.4259
|
28 |
+
- Accuracy: 0.9508
|
29 |
|
30 |
## Model description
|
31 |
|
|
|
58 |
|
59 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
60 |
|:-------------:|:------:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
61 |
+
| 257.7836 | 0.2911 | 500 | 190.0373 | 0.0 | 0.0 | 0.0 | 0.9241 |
|
62 |
+
| 179.3866 | 0.5822 | 1000 | 173.8501 | 0.4324 | 0.0023 | 0.0046 | 0.9242 |
|
63 |
+
| 167.4276 | 0.8732 | 1500 | 164.6176 | 0.4172 | 0.0196 | 0.0375 | 0.9249 |
|
64 |
+
| 160.874 | 1.1643 | 2000 | 160.7553 | 0.4603 | 0.0042 | 0.0083 | 0.9243 |
|
65 |
+
| 155.3677 | 1.4554 | 2500 | 154.5823 | 0.2516 | 0.0685 | 0.1077 | 0.9268 |
|
66 |
+
| 151.6743 | 1.7465 | 3000 | 151.6693 | 0.3540 | 0.0594 | 0.1018 | 0.9267 |
|
67 |
+
| 147.7351 | 2.0375 | 3500 | 147.3540 | 0.2816 | 0.0925 | 0.1392 | 0.9277 |
|
68 |
+
| 144.2784 | 2.3286 | 4000 | 144.3419 | 0.2836 | 0.1122 | 0.1608 | 0.9285 |
|
69 |
+
| 141.5455 | 2.6197 | 4500 | 141.6975 | 0.2921 | 0.1101 | 0.1599 | 0.9293 |
|
70 |
+
| 139.1013 | 2.9108 | 5000 | 139.2388 | 0.2906 | 0.1260 | 0.1757 | 0.9311 |
|
71 |
+
| 135.433 | 3.2019 | 5500 | 137.0034 | 0.2676 | 0.1945 | 0.2252 | 0.9334 |
|
72 |
+
| 133.6936 | 3.4929 | 6000 | 135.0955 | 0.2873 | 0.1860 | 0.2258 | 0.9350 |
|
73 |
+
| 131.3839 | 3.7840 | 6500 | 133.8098 | 0.2778 | 0.1666 | 0.2083 | 0.9350 |
|
74 |
+
| 129.797 | 4.0751 | 7000 | 132.1772 | 0.2916 | 0.1961 | 0.2345 | 0.9369 |
|
75 |
+
| 127.666 | 4.3662 | 7500 | 130.7785 | 0.3195 | 0.2108 | 0.2540 | 0.9380 |
|
76 |
+
| 126.5971 | 4.6573 | 8000 | 129.6297 | 0.3243 | 0.2394 | 0.2754 | 0.9392 |
|
77 |
+
| 125.6906 | 4.9483 | 8500 | 128.3762 | 0.3276 | 0.2613 | 0.2907 | 0.9403 |
|
78 |
+
| 124.4524 | 5.2394 | 9000 | 127.9805 | 0.3305 | 0.2536 | 0.2870 | 0.9410 |
|
79 |
+
| 122.7245 | 5.5305 | 9500 | 126.6189 | 0.3384 | 0.2789 | 0.3058 | 0.9418 |
|
80 |
+
| 121.9463 | 5.8216 | 10000 | 125.9754 | 0.3504 | 0.2995 | 0.3230 | 0.9422 |
|
81 |
+
| 120.7658 | 6.1126 | 10500 | 125.1251 | 0.3666 | 0.2923 | 0.3253 | 0.9438 |
|
82 |
+
| 119.7118 | 6.4037 | 11000 | 124.2384 | 0.3649 | 0.3300 | 0.3466 | 0.9451 |
|
83 |
+
| 119.2242 | 6.6948 | 11500 | 123.6015 | 0.3891 | 0.3443 | 0.3653 | 0.9456 |
|
84 |
+
| 118.7415 | 6.9859 | 12000 | 123.2859 | 0.4014 | 0.3474 | 0.3725 | 0.9462 |
|
85 |
+
| 117.3371 | 7.2770 | 12500 | 122.5413 | 0.4022 | 0.3730 | 0.3870 | 0.9480 |
|
86 |
+
| 116.8112 | 7.5680 | 13000 | 122.0957 | 0.4210 | 0.3542 | 0.3847 | 0.9477 |
|
87 |
+
| 116.6829 | 7.8591 | 13500 | 121.7368 | 0.4190 | 0.3939 | 0.4060 | 0.9491 |
|
88 |
+
| 116.0694 | 8.1502 | 14000 | 121.2429 | 0.4264 | 0.4098 | 0.4179 | 0.9501 |
|
89 |
+
| 115.1811 | 8.4413 | 14500 | 120.9883 | 0.4293 | 0.4087 | 0.4188 | 0.9497 |
|
90 |
+
| 115.0686 | 8.7324 | 15000 | 120.9065 | 0.4307 | 0.3806 | 0.4041 | 0.9493 |
|
91 |
+
| 114.9443 | 9.0234 | 15500 | 120.5293 | 0.4313 | 0.4005 | 0.4153 | 0.9499 |
|
92 |
+
| 114.2954 | 9.3145 | 16000 | 120.3870 | 0.4287 | 0.4160 | 0.4222 | 0.9501 |
|
93 |
+
| 114.2907 | 9.6056 | 16500 | 120.1462 | 0.4380 | 0.4135 | 0.4254 | 0.9511 |
|
94 |
+
| 114.2952 | 9.8967 | 17000 | 120.2460 | 0.4418 | 0.4111 | 0.4259 | 0.9508 |
|
95 |
|
96 |
|
97 |
### Framework versions
|
eval_result_ner.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"ceb_gja": {"precision": 0.
|
|
|
1 |
+
{"ceb_gja": {"precision": 0.5769230769230769, "recall": 0.6122448979591837, "f1": 0.594059405940594, "accuracy": 0.9691119691119691}, "en_pud": {"precision": 0.41060419235511714, "recall": 0.3097674418604651, "f1": 0.3531283138918346, "accuracy": 0.9446071023800529}, "de_pud": {"precision": 0.18446601941747573, "recall": 0.20115495668912417, "f1": 0.19244935543278086, "accuracy": 0.9106464769584173}, "pt_pud": {"precision": 0.41626331074540174, "recall": 0.39126478616924476, "f1": 0.4033771106941838, "accuracy": 0.9523219549707352}, "ru_pud": {"precision": 0.05263157894736842, "recall": 0.01447876447876448, "f1": 0.022710068130204392, "accuracy": 0.9084474296047533}, "sv_pud": {"precision": 0.4696485623003195, "recall": 0.2857142857142857, "f1": 0.3552870090634441, "accuracy": 0.9439085762214301}, "tl_trg": {"precision": 0.6666666666666666, "recall": 0.6956521739130435, "f1": 0.6808510638297872, "accuracy": 0.9795640326975477}, "tl_ugnayan": {"precision": 0.0, "recall": 0.0, "f1": 0.0, "accuracy": 0.9316317228805834}, "zh_gsd": {"precision": 0.3969924812030075, "recall": 0.34419817470664926, "f1": 0.3687150837988827, "accuracy": 0.9214951714951715}, "zh_gsdsimp": {"precision": 0.36858475894245724, "recall": 0.3106159895150721, "f1": 0.33712660028449504, "accuracy": 0.9200799200799201}, "hr_set": {"precision": 0.590878604963112, "recall": 0.6279401282965075, "f1": 0.6088458880442293, "accuracy": 0.9581203627370156}, "da_ddt": {"precision": 0.4718498659517426, "recall": 0.39373601789709173, "f1": 0.4292682926829268, "accuracy": 0.9632844457747182}, "en_ewt": {"precision": 0.49101796407185627, "recall": 0.37683823529411764, "f1": 0.42641705668226726, "accuracy": 0.9520261385823007}, "pt_bosque": {"precision": 0.39720713731574864, "recall": 0.4213991769547325, "f1": 0.40894568690095845, "accuracy": 0.9532314157368498}, "sr_set": {"precision": 0.6404494382022472, "recall": 0.6729634002361276, "f1": 0.6563039723661486, "accuracy": 0.9546449522808861}, "sk_snk": {"precision": 0.3526490066225166, "recall": 0.23278688524590163, "f1": 0.2804476629361422, "accuracy": 0.9155150753768844}, "sv_talbanken": {"precision": 0.6890243902439024, "recall": 0.576530612244898, "f1": 0.6277777777777778, "accuracy": 0.9938165578838887}}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 428590300
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00dcd8d0d2e3b311b7cdf9cccc093c4a600dd554840b0197c34bd485616608b5
|
3 |
size 428590300
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00c93f720fc495e2f25908343609d0025f1c6454176a1e93b63ee413bbdf0604
|
3 |
size 5304
|