damand2061
commited on
Commit
•
5a13e6f
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Parent(s):
d6d4589
End of training
Browse files- README.md +61 -0
- added_tokens.json +1513 -0
- config.json +109 -0
- special_tokens_map.json +37 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- vocab.txt +0 -0
README.md
ADDED
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---
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library_name: transformers
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license: apache-2.0
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base_model: LazarusNLP/NusaBERT-base
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tags:
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- generated_from_keras_callback
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model-index:
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- name: damand2061/pfsa-id-NusaBERT
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# damand2061/pfsa-id-NusaBERT
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This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1672
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- Validation Loss: 0.2417
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- Validation F1: 0.7748
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- Validation Accuracy: 0.9257
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- Epoch: 4
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 10440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch |
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|:----------:|:---------------:|:-------------:|:-------------------:|:-----:|
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| 0.4655 | 0.2722 | 0.6325 | 0.9143 | 0 |
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| 0.2608 | 0.2483 | 0.7049 | 0.9203 | 1 |
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| 0.2179 | 0.2391 | 0.7479 | 0.9242 | 2 |
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| 0.1888 | 0.2393 | 0.7669 | 0.9245 | 3 |
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| 0.1672 | 0.2417 | 0.7748 | 0.9257 | 4 |
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### Framework versions
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- Transformers 4.44.2
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- TensorFlow 2.17.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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added_tokens.json
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1 |
+
{
|
2 |
+
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|
3 |
+
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|
4 |
+
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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10 |
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11 |
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|
12 |
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13 |
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14 |
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15 |
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16 |
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17 |
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23 |
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25 |
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30 |
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"ο": 31245,
|
1491 |
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"а": 31626,
|
1492 |
+
"е": 30613,
|
1493 |
+
"и": 31588,
|
1494 |
+
"н": 31076,
|
1495 |
+
"о": 31155,
|
1496 |
+
"р": 31153,
|
1497 |
+
"с": 31865,
|
1498 |
+
"ا": 30631,
|
1499 |
+
"ال": 30551,
|
1500 |
+
"ر": 31557,
|
1501 |
+
"ل": 31499,
|
1502 |
+
"م": 31065,
|
1503 |
+
"ن": 30528,
|
1504 |
+
"و": 30968,
|
1505 |
+
"ي": 31241,
|
1506 |
+
"ᄋ": 31525,
|
1507 |
+
"ᅡ": 31399,
|
1508 |
+
"ᅵ": 31534,
|
1509 |
+
"ᆫ": 31363,
|
1510 |
+
"—": 31586,
|
1511 |
+
"•": 30896,
|
1512 |
+
"…": 31785
|
1513 |
+
}
|
config.json
ADDED
@@ -0,0 +1,109 @@
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|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "LazarusNLP/NusaBERT-base",
|
3 |
+
"_num_labels": 5,
|
4 |
+
"architectures": [
|
5 |
+
"BertForTokenClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"directionality": "bidi",
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "B-EVENT",
|
15 |
+
"1": "I-EVENT",
|
16 |
+
"2": "L-EVENT",
|
17 |
+
"3": "B-STATEMENT",
|
18 |
+
"4": "I-STATEMENT",
|
19 |
+
"5": "L-STATEMENT",
|
20 |
+
"6": "B-DATETIME",
|
21 |
+
"7": "I-DATETIME",
|
22 |
+
"8": "L-DATETIME",
|
23 |
+
"9": "B-ROLE",
|
24 |
+
"10": "I-ROLE",
|
25 |
+
"11": "L-ROLE",
|
26 |
+
"12": "B-PERSON",
|
27 |
+
"13": "I-PERSON",
|
28 |
+
"14": "L-PERSON",
|
29 |
+
"15": "B-LOCATION",
|
30 |
+
"16": "I-LOCATION",
|
31 |
+
"17": "L-LOCATION",
|
32 |
+
"18": "B-ISSUE",
|
33 |
+
"19": "I-ISSUE",
|
34 |
+
"20": "L-ISSUE",
|
35 |
+
"21": "B-AFFILIATION",
|
36 |
+
"22": "I-AFFILIATION",
|
37 |
+
"23": "L-AFFILIATION",
|
38 |
+
"24": "B-PERSONCOREF",
|
39 |
+
"25": "I-PERSONCOREF",
|
40 |
+
"26": "L-PERSONCOREF",
|
41 |
+
"27": "U-EVENT",
|
42 |
+
"28": "U-AFFILIATION",
|
43 |
+
"29": "U-ROLE",
|
44 |
+
"30": "U-PERSON",
|
45 |
+
"31": "U-PERSONCOREF",
|
46 |
+
"32": "U-CUE",
|
47 |
+
"33": "U-CUECOREF",
|
48 |
+
"34": "U-LOCATION",
|
49 |
+
"35": "O"
|
50 |
+
},
|
51 |
+
"initializer_range": 0.02,
|
52 |
+
"intermediate_size": 3072,
|
53 |
+
"label2id": {
|
54 |
+
"B-AFFILIATION": 21,
|
55 |
+
"B-DATETIME": 6,
|
56 |
+
"B-EVENT": 0,
|
57 |
+
"B-ISSUE": 18,
|
58 |
+
"B-LOCATION": 15,
|
59 |
+
"B-PERSON": 12,
|
60 |
+
"B-PERSONCOREF": 24,
|
61 |
+
"B-ROLE": 9,
|
62 |
+
"B-STATEMENT": 3,
|
63 |
+
"I-AFFILIATION": 22,
|
64 |
+
"I-DATETIME": 7,
|
65 |
+
"I-EVENT": 1,
|
66 |
+
"I-ISSUE": 19,
|
67 |
+
"I-LOCATION": 16,
|
68 |
+
"I-PERSON": 13,
|
69 |
+
"I-PERSONCOREF": 25,
|
70 |
+
"I-ROLE": 10,
|
71 |
+
"I-STATEMENT": 4,
|
72 |
+
"L-AFFILIATION": 23,
|
73 |
+
"L-DATETIME": 8,
|
74 |
+
"L-EVENT": 2,
|
75 |
+
"L-ISSUE": 20,
|
76 |
+
"L-LOCATION": 17,
|
77 |
+
"L-PERSON": 14,
|
78 |
+
"L-PERSONCOREF": 26,
|
79 |
+
"L-ROLE": 11,
|
80 |
+
"L-STATEMENT": 5,
|
81 |
+
"O": 35,
|
82 |
+
"U-AFFILIATION": 28,
|
83 |
+
"U-CUE": 32,
|
84 |
+
"U-CUECOREF": 33,
|
85 |
+
"U-EVENT": 27,
|
86 |
+
"U-LOCATION": 34,
|
87 |
+
"U-PERSON": 30,
|
88 |
+
"U-PERSONCOREF": 31,
|
89 |
+
"U-ROLE": 29
|
90 |
+
},
|
91 |
+
"layer_norm_eps": 1e-12,
|
92 |
+
"max_position_embeddings": 512,
|
93 |
+
"model_type": "bert",
|
94 |
+
"num_attention_heads": 12,
|
95 |
+
"num_hidden_layers": 12,
|
96 |
+
"output_past": true,
|
97 |
+
"pad_token_id": 0,
|
98 |
+
"pooler_fc_size": 768,
|
99 |
+
"pooler_num_attention_heads": 12,
|
100 |
+
"pooler_num_fc_layers": 3,
|
101 |
+
"pooler_size_per_head": 128,
|
102 |
+
"pooler_type": "first_token_transform",
|
103 |
+
"position_embedding_type": "absolute",
|
104 |
+
"torch_dtype": "float32",
|
105 |
+
"transformers_version": "4.44.2",
|
106 |
+
"type_vocab_size": 2,
|
107 |
+
"use_cache": true,
|
108 |
+
"vocab_size": 32032
|
109 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tf_model.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5751401e440bac81c8ae2abb9ddce50021e3fb37492cd704782c3dc547454195
|
3 |
+
size 440601688
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|