Davlan commited on
Commit
4472fb6
1 Parent(s): 366380e

add afroxlmr-large-ner

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. config.json +57 -0
  2. eval_results.txt +15 -0
  3. pytorch_model.bin +3 -0
  4. sentencepiece.bpe.model +3 -0
  5. special_tokens_map.json +1 -0
  6. test_predictions.txt +0 -0
  7. test_predictions_africaner_amh.txt +0 -0
  8. test_predictions_africaner_bam.txt +0 -0
  9. test_predictions_africaner_bbj.txt +0 -0
  10. test_predictions_africaner_ewe.txt +0 -0
  11. test_predictions_africaner_fon.txt +0 -0
  12. test_predictions_africaner_hau.txt +0 -0
  13. test_predictions_africaner_ibo.txt +0 -0
  14. test_predictions_africaner_kin.txt +0 -0
  15. test_predictions_africaner_lug.txt +0 -0
  16. test_predictions_africaner_luo.txt +0 -0
  17. test_predictions_africaner_mos.txt +0 -0
  18. test_predictions_africaner_nya.txt +0 -0
  19. test_predictions_africaner_pcm.txt +0 -0
  20. test_predictions_africaner_sna.txt +0 -0
  21. test_predictions_africaner_swa.txt +0 -0
  22. test_predictions_africaner_tsn.txt +0 -0
  23. test_predictions_africaner_twi.txt +0 -0
  24. test_predictions_africaner_wol.txt +0 -0
  25. test_predictions_africaner_xho.txt +0 -0
  26. test_predictions_africaner_yor.txt +0 -0
  27. test_predictions_africaner_zul.txt +0 -0
  28. test_result.txt +15 -0
  29. test_result_africaner_amh.txt +15 -0
  30. test_result_africaner_bam.txt +15 -0
  31. test_result_africaner_bbj.txt +15 -0
  32. test_result_africaner_ewe.txt +15 -0
  33. test_result_africaner_fon.txt +15 -0
  34. test_result_africaner_hau.txt +15 -0
  35. test_result_africaner_ibo.txt +15 -0
  36. test_result_africaner_kin.txt +15 -0
  37. test_result_africaner_lug.txt +15 -0
  38. test_result_africaner_luo.txt +15 -0
  39. test_result_africaner_mos.txt +15 -0
  40. test_result_africaner_nya.txt +15 -0
  41. test_result_africaner_pcm.txt +15 -0
  42. test_result_africaner_sna.txt +15 -0
  43. test_result_africaner_swa.txt +15 -0
  44. test_result_africaner_tsn.txt +15 -0
  45. test_result_africaner_twi.txt +15 -0
  46. test_result_africaner_wol.txt +15 -0
  47. test_result_africaner_xho.txt +15 -0
  48. test_result_africaner_yor.txt +15 -0
  49. test_result_africaner_zul.txt +15 -0
  50. tokenizer.json +0 -0
config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Davlan/afro-xlmr-large",
3
+ "adapters": {
4
+ "adapters": {},
5
+ "config_map": {},
6
+ "fusion_config_map": {},
7
+ "fusions": {}
8
+ },
9
+ "architectures": [
10
+ "XLMRobertaForTokenClassification"
11
+ ],
12
+ "attention_probs_dropout_prob": 0.1,
13
+ "bos_token_id": 0,
14
+ "classifier_dropout": null,
15
+ "eos_token_id": 2,
16
+ "gradient_checkpointing": false,
17
+ "hidden_act": "gelu",
18
+ "hidden_dropout_prob": 0.1,
19
+ "hidden_size": 1024,
20
+ "id2label": {
21
+ "0": "O",
22
+ "1": "B-DATE",
23
+ "2": "I-DATE",
24
+ "3": "B-PER",
25
+ "4": "I-PER",
26
+ "5": "B-ORG",
27
+ "6": "I-ORG",
28
+ "7": "B-LOC",
29
+ "8": "I-LOC"
30
+ },
31
+ "initializer_range": 0.02,
32
+ "intermediate_size": 4096,
33
+ "label2id": {
34
+ "B-DATE": 1,
35
+ "B-LOC": 7,
36
+ "B-ORG": 5,
37
+ "B-PER": 3,
38
+ "I-DATE": 2,
39
+ "I-LOC": 8,
40
+ "I-ORG": 6,
41
+ "I-PER": 4,
42
+ "O": 0
43
+ },
44
+ "layer_norm_eps": 1e-05,
45
+ "max_position_embeddings": 514,
46
+ "model_type": "xlm-roberta",
47
+ "num_attention_heads": 16,
48
+ "num_hidden_layers": 24,
49
+ "output_past": true,
50
+ "pad_token_id": 1,
51
+ "position_embedding_type": "absolute",
52
+ "torch_dtype": "float32",
53
+ "transformers_version": "4.10.3",
54
+ "type_vocab_size": 1,
55
+ "use_cache": true,
56
+ "vocab_size": 250002
57
+ }
eval_results.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8977421260899927
2
+ loss = 0.14632374584111538
3
+ precision = 0.8905189868921175
4
+ recall = 0.9050833995234313
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.81 0.83 0.82 4245
8
+ LOC 0.91 0.90 0.91 8117
9
+ ORG 0.84 0.89 0.86 5934
10
+ PER 0.95 0.95 0.95 9402
11
+
12
+ micro avg 0.89 0.91 0.90 27698
13
+ macro avg 0.88 0.89 0.88 27698
14
+ weighted avg 0.89 0.91 0.90 27698
15
+
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ea4f312240064b16fa45fc4e32a230490d59ba04bd57b8d2e57a424a12a99d8
3
+ size 2235570801
sentencepiece.bpe.model ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
3
+ size 5069051
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
test_predictions.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_amh.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_bam.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_bbj.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_ewe.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_fon.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_hau.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_ibo.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_kin.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_lug.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_luo.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_mos.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_nya.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_pcm.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_sna.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_swa.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_tsn.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_twi.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_wol.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_xho.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_yor.txt ADDED
The diff for this file is too large to render. See raw diff
test_predictions_africaner_zul.txt ADDED
The diff for this file is too large to render. See raw diff
test_result.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8887271068696934
2
+ loss = 0.16945989777437717
3
+ precision = 0.8818583762707144
4
+ recall = 0.8957036775106082
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.78 0.81 0.79 8591
8
+ LOC 0.90 0.90 0.90 18097
9
+ ORG 0.84 0.86 0.85 12080
10
+ PER 0.95 0.95 0.95 17792
11
+
12
+ micro avg 0.88 0.90 0.89 56560
13
+ macro avg 0.87 0.88 0.87 56560
14
+ weighted avg 0.88 0.90 0.89 56560
15
+
test_result_africaner_amh.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8048151332760104
2
+ loss = 0.3012628536510995
3
+ precision = 0.7735537190082644
4
+ recall = 0.8387096774193549
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.73 0.78 0.75 106
8
+ LOC 0.80 0.86 0.83 227
9
+ ORG 0.58 0.69 0.63 83
10
+ PER 0.90 0.93 0.91 142
11
+
12
+ micro avg 0.77 0.84 0.80 558
13
+ macro avg 0.75 0.82 0.78 558
14
+ weighted avg 0.78 0.84 0.81 558
15
+
test_result_africaner_bam.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8308651597817615
2
+ loss = 0.10526556631397596
3
+ precision = 0.8521183053557154
4
+ recall = 0.8106463878326996
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.81 0.84 0.83 195
8
+ LOC 0.86 0.81 0.84 566
9
+ ORG 0.78 0.76 0.77 95
10
+ PER 0.88 0.80 0.84 459
11
+
12
+ micro avg 0.85 0.81 0.83 1315
13
+ macro avg 0.83 0.80 0.82 1315
14
+ weighted avg 0.85 0.81 0.83 1315
15
+
test_result_africaner_bbj.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.7659778952426717
2
+ loss = 0.22731978324450433
3
+ precision = 0.7745383867832848
4
+ recall = 0.7576045627376425
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.86 0.79 0.82 180
8
+ LOC 0.71 0.81 0.76 256
9
+ ORG 0.66 0.59 0.62 217
10
+ PER 0.84 0.80 0.82 399
11
+
12
+ micro avg 0.77 0.76 0.77 1052
13
+ macro avg 0.77 0.75 0.76 1052
14
+ weighted avg 0.78 0.76 0.77 1052
15
+
test_result_africaner_ewe.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8957722896609461
2
+ loss = 0.1747560780349886
3
+ precision = 0.8792111750205424
4
+ recall = 0.9129692832764505
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.73 0.82 0.77 336
8
+ LOC 0.95 0.94 0.95 1326
9
+ ORG 0.69 0.79 0.73 240
10
+ PER 0.90 0.96 0.93 442
11
+
12
+ micro avg 0.88 0.91 0.90 2344
13
+ macro avg 0.82 0.88 0.85 2344
14
+ weighted avg 0.89 0.91 0.90 2344
15
+
test_result_africaner_fon.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8377649325626205
2
+ loss = 0.12016407504545813
3
+ precision = 0.8406805877803558
4
+ recall = 0.8348694316436251
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.76 0.76 0.76 369
8
+ LOC 0.83 0.85 0.84 410
9
+ ORG 0.83 0.82 0.82 228
10
+ PER 0.96 0.93 0.94 295
11
+
12
+ micro avg 0.84 0.83 0.84 1302
13
+ macro avg 0.85 0.84 0.84 1302
14
+ weighted avg 0.84 0.83 0.84 1302
15
+
test_result_africaner_hau.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8751828376401755
2
+ loss = 0.29928257482347764
3
+ precision = 0.8766788766788767
4
+ recall = 0.8736918958384035
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.84 0.77 0.80 757
8
+ LOC 0.84 0.83 0.84 970
9
+ ORG 0.83 0.87 0.85 1188
10
+ PER 0.97 0.98 0.98 1194
11
+
12
+ micro avg 0.88 0.87 0.88 4109
13
+ macro avg 0.87 0.86 0.87 4109
14
+ weighted avg 0.88 0.87 0.87 4109
15
+
test_result_africaner_ibo.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9350729086722946
2
+ loss = 0.07834497505877609
3
+ precision = 0.9303604153940135
4
+ recall = 0.9398333847577908
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.75 0.77 0.76 358
8
+ LOC 0.96 0.96 0.96 1400
9
+ ORG 0.87 0.90 0.89 432
10
+ PER 0.98 0.99 0.98 1051
11
+
12
+ micro avg 0.93 0.94 0.94 3241
13
+ macro avg 0.89 0.90 0.90 3241
14
+ weighted avg 0.93 0.94 0.94 3241
15
+
test_result_africaner_kin.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8757658714639551
2
+ loss = 0.2106577798170211
3
+ precision = 0.8634961439588689
4
+ recall = 0.8883893149960328
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.76 0.81 0.78 791
8
+ LOC 0.91 0.91 0.91 1593
9
+ ORG 0.81 0.84 0.82 685
10
+ PER 0.94 0.97 0.96 712
11
+
12
+ micro avg 0.86 0.89 0.88 3781
13
+ macro avg 0.85 0.88 0.87 3781
14
+ weighted avg 0.86 0.89 0.88 3781
15
+
test_result_africaner_lug.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8973067659294942
2
+ loss = 0.2267118442516369
3
+ precision = 0.8908695652173914
4
+ recall = 0.9038376709307455
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.74 0.73 0.74 313
8
+ LOC 0.88 0.91 0.90 590
9
+ ORG 0.91 0.91 0.91 573
10
+ PER 0.94 0.96 0.95 791
11
+
12
+ micro avg 0.89 0.90 0.90 2267
13
+ macro avg 0.87 0.88 0.87 2267
14
+ weighted avg 0.89 0.90 0.90 2267
15
+
test_result_africaner_luo.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8246390760346486
2
+ loss = 0.24913267172271072
3
+ precision = 0.8147584632940281
4
+ recall = 0.8347622759158223
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.70 0.81 0.75 413
8
+ LOC 0.81 0.81 0.81 773
9
+ ORG 0.80 0.83 0.82 540
10
+ PER 0.90 0.87 0.88 840
11
+
12
+ micro avg 0.81 0.83 0.82 2566
13
+ macro avg 0.80 0.83 0.82 2566
14
+ weighted avg 0.82 0.83 0.83 2566
15
+
test_result_africaner_mos.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.7548278757346767
2
+ loss = 0.22328268662436565
3
+ precision = 0.7580101180438449
4
+ recall = 0.7516722408026756
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.60 0.60 0.60 228
8
+ LOC 0.84 0.88 0.86 415
9
+ ORG 0.71 0.64 0.67 347
10
+ PER 0.82 0.85 0.84 206
11
+
12
+ micro avg 0.76 0.75 0.75 1196
13
+ macro avg 0.74 0.74 0.74 1196
14
+ weighted avg 0.75 0.75 0.75 1196
15
+
test_result_africaner_nya.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9272753665263462
2
+ loss = 0.09216789117011359
3
+ precision = 0.9325547445255474
4
+ recall = 0.9220554272517321
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.86 0.81 0.84 486
8
+ LOC 0.94 0.95 0.94 787
9
+ ORG 0.91 0.93 0.92 722
10
+ PER 0.96 0.94 0.95 1469
11
+
12
+ micro avg 0.93 0.92 0.93 3464
13
+ macro avg 0.92 0.91 0.91 3464
14
+ weighted avg 0.93 0.92 0.93 3464
15
+
test_result_africaner_pcm.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9092872570194385
2
+ loss = 0.12096450473564792
3
+ precision = 0.9220324134910206
4
+ recall = 0.8968896463570516
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.91 0.93 0.92 390
8
+ LOC 0.88 0.86 0.87 660
9
+ ORG 0.94 0.84 0.89 658
10
+ PER 0.96 0.97 0.96 639
11
+
12
+ micro avg 0.92 0.90 0.91 2347
13
+ macro avg 0.92 0.90 0.91 2347
14
+ weighted avg 0.92 0.90 0.91 2347
15
+
test_result_africaner_sna.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9650711513583441
2
+ loss = 0.07008554745300495
3
+ precision = 0.9638242894056848
4
+ recall = 0.966321243523316
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.94 0.94 0.94 470
8
+ LOC 0.97 0.95 0.96 837
9
+ ORG 0.94 0.96 0.95 1139
10
+ PER 0.99 0.99 0.99 1414
11
+
12
+ micro avg 0.96 0.97 0.97 3860
13
+ macro avg 0.96 0.96 0.96 3860
14
+ weighted avg 0.96 0.97 0.97 3860
15
+
test_result_africaner_swa.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9336368810472396
2
+ loss = 0.16117920023100998
3
+ precision = 0.9205387205387205
4
+ recall = 0.9471131639722864
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.77 0.86 0.81 598
8
+ LOC 0.97 0.95 0.96 1924
9
+ ORG 0.82 0.93 0.87 628
10
+ PER 0.99 0.99 0.99 1180
11
+
12
+ micro avg 0.92 0.95 0.93 4330
13
+ macro avg 0.89 0.93 0.91 4330
14
+ weighted avg 0.93 0.95 0.94 4330
15
+
test_result_africaner_tsn.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9030995106035888
2
+ loss = 0.19582835990128106
3
+ precision = 0.8877485567671585
4
+ recall = 0.9189907038512616
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.76 0.84 0.80 179
8
+ LOC 0.91 0.92 0.91 248
9
+ ORG 0.82 0.86 0.84 465
10
+ PER 0.98 0.98 0.98 614
11
+
12
+ micro avg 0.89 0.92 0.90 1506
13
+ macro avg 0.87 0.90 0.88 1506
14
+ weighted avg 0.89 0.92 0.90 1506
15
+
test_result_africaner_twi.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8133779264214046
2
+ loss = 0.09907066884574303
3
+ precision = 0.8
4
+ recall = 0.8272108843537415
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.66 0.64 0.65 101
8
+ LOC 0.78 0.83 0.80 218
9
+ ORG 0.78 0.77 0.77 193
10
+ PER 0.89 0.96 0.92 223
11
+
12
+ micro avg 0.80 0.83 0.81 735
13
+ macro avg 0.78 0.80 0.79 735
14
+ weighted avg 0.80 0.83 0.81 735
15
+
test_result_africaner_wol.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.8726322664924886
2
+ loss = 0.11996952699025049
3
+ precision = 0.8680961663417803
4
+ recall = 0.8772160210111621
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.71 0.67 0.69 169
8
+ LOC 0.91 0.93 0.92 536
9
+ ORG 0.85 0.82 0.84 362
10
+ PER 0.89 0.94 0.91 456
11
+
12
+ micro avg 0.87 0.88 0.87 1523
13
+ macro avg 0.84 0.84 0.84 1523
14
+ weighted avg 0.87 0.88 0.87 1523
15
+
test_result_africaner_xho.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9001857794291506
2
+ loss = 0.2818090783406568
3
+ precision = 0.8669486011711126
4
+ recall = 0.9360730593607306
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.65 0.84 0.73 294
8
+ LOC 0.89 0.90 0.89 539
9
+ ORG 0.82 0.94 0.88 841
10
+ PER 0.96 0.98 0.97 1173
11
+
12
+ micro avg 0.87 0.94 0.90 2847
13
+ macro avg 0.83 0.91 0.87 2847
14
+ weighted avg 0.87 0.94 0.90 2847
15
+
test_result_africaner_yor.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9052002985817367
2
+ loss = 0.09916375607384363
3
+ precision = 0.9013875123885035
4
+ recall = 0.9090454772613693
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.83 0.84 0.84 312
8
+ LOC 0.90 0.92 0.91 521
9
+ ORG 0.88 0.88 0.88 402
10
+ PER 0.94 0.94 0.94 766
11
+
12
+ micro avg 0.90 0.91 0.91 2001
13
+ macro avg 0.89 0.90 0.89 2001
14
+ weighted avg 0.90 0.91 0.91 2001
15
+
test_result_africaner_zul.txt ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ f1 = 0.9133695371088699
2
+ loss = 0.1217166533302223
3
+ precision = 0.9065708418891171
4
+ recall = 0.9202709744658676
5
+ report = precision recall f1-score support
6
+
7
+ DATE 0.88 0.84 0.86 321
8
+ LOC 0.89 0.94 0.92 337
9
+ ORG 0.84 0.86 0.85 373
10
+ PER 0.95 0.97 0.96 888
11
+
12
+ micro avg 0.91 0.92 0.91 1919
13
+ macro avg 0.89 0.90 0.90 1919
14
+ weighted avg 0.91 0.92 0.91 1919
15
+
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff