Hugging Face's logo

Labira
/
LabiraPJOK_5A_100_Full

Question Answering
Transformers
TensorFlow
bert
generated_from_keras_callback
Model card Files
xet
Community
Labira commited on
Commit
e72f4b6
路
verified 路
1 Parent(s): 10b7221

Upload 7 files

Browse files
Files changed (7) hide show
  1. README.md +154 -0
  2. config.json +27 -0
  3. special_tokens_map.json +37 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +64 -0
  7. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: mit
4
+ base_model: Labira/LabiraPJOK_4_100_Full
5
+ tags:
6
+ - generated_from_keras_callback
7
+ model-index:
8
+ - name: Labira/LabiraPJOK_5A_100_Full
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
13
+ probably proofread and complete it, then remove this comment. -->
14
+
15
+ # Labira/LabiraPJOK_5A_100_Full
16
+
17
+ This model is a fine-tuned version of [Labira/LabiraPJOK_4_100_Full](https://huggingface.co/Labira/LabiraPJOK_4_100_Full) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Train Loss: 0.0022
20
+ - Validation Loss: 0.0010
21
+ - Epoch: 99
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
41
+ - training_precision: float32
42
+
43
+ ### Training results
44
+
45
+ | Train Loss | Validation Loss | Epoch |
46
+ |:----------:|:---------------:|:-----:|
47
+ | 3.8867 | 2.3827 | 0 |
48
+ | 1.9836 | 1.5612 | 1 |
49
+ | 1.3760 | 0.9002 | 2 |
50
+ | 0.9254 | 0.4459 | 3 |
51
+ | 0.6740 | 0.1479 | 4 |
52
+ | 0.3874 | 0.0864 | 5 |
53
+ | 0.3355 | 0.0557 | 6 |
54
+ | 0.1929 | 0.0374 | 7 |
55
+ | 0.2133 | 0.0230 | 8 |
56
+ | 0.1516 | 0.0164 | 9 |
57
+ | 0.1120 | 0.0123 | 10 |
58
+ | 0.1013 | 0.0091 | 11 |
59
+ | 0.0750 | 0.0084 | 12 |
60
+ | 0.0947 | 0.0094 | 13 |
61
+ | 0.0406 | 0.0119 | 14 |
62
+ | 0.0335 | 0.0130 | 15 |
63
+ | 0.0219 | 0.0094 | 16 |
64
+ | 0.0223 | 0.0074 | 17 |
65
+ | 0.0186 | 0.0056 | 18 |
66
+ | 0.0225 | 0.0044 | 19 |
67
+ | 0.0157 | 0.0035 | 20 |
68
+ | 0.0070 | 0.0029 | 21 |
69
+ | 0.0360 | 0.0028 | 22 |
70
+ | 0.0210 | 0.0025 | 23 |
71
+ | 0.0342 | 0.0027 | 24 |
72
+ | 0.0097 | 0.0032 | 25 |
73
+ | 0.0158 | 0.0031 | 26 |
74
+ | 0.0096 | 0.0030 | 27 |
75
+ | 0.0205 | 0.0028 | 28 |
76
+ | 0.0084 | 0.0024 | 29 |
77
+ | 0.0178 | 0.0024 | 30 |
78
+ | 0.0061 | 0.0023 | 31 |
79
+ | 0.0035 | 0.0022 | 32 |
80
+ | 0.0088 | 0.0022 | 33 |
81
+ | 0.0156 | 0.0024 | 34 |
82
+ | 0.0036 | 0.0024 | 35 |
83
+ | 0.0059 | 0.0024 | 36 |
84
+ | 0.0138 | 0.0030 | 37 |
85
+ | 0.0079 | 0.0045 | 38 |
86
+ | 0.0045 | 0.0053 | 39 |
87
+ | 0.0085 | 0.0045 | 40 |
88
+ | 0.0060 | 0.0040 | 41 |
89
+ | 0.0041 | 0.0035 | 42 |
90
+ | 0.0090 | 0.0018 | 43 |
91
+ | 0.0044 | 0.0010 | 44 |
92
+ | 0.0036 | 0.0007 | 45 |
93
+ | 0.0048 | 0.0006 | 46 |
94
+ | 0.0039 | 0.0005 | 47 |
95
+ | 0.0037 | 0.0005 | 48 |
96
+ | 0.0017 | 0.0005 | 49 |
97
+ | 0.0096 | 0.0006 | 50 |
98
+ | 0.0047 | 0.0008 | 51 |
99
+ | 0.0030 | 0.0009 | 52 |
100
+ | 0.0030 | 0.0011 | 53 |
101
+ | 0.1695 | 0.0012 | 54 |
102
+ | 0.0044 | 0.0014 | 55 |
103
+ | 0.0037 | 0.0012 | 56 |
104
+ | 0.0033 | 0.0011 | 57 |
105
+ | 0.0018 | 0.0010 | 58 |
106
+ | 0.0026 | 0.0009 | 59 |
107
+ | 0.0062 | 0.0009 | 60 |
108
+ | 0.0041 | 0.0009 | 61 |
109
+ | 0.0030 | 0.0009 | 62 |
110
+ | 0.0048 | 0.0009 | 63 |
111
+ | 0.0017 | 0.0008 | 64 |
112
+ | 0.0031 | 0.0008 | 65 |
113
+ | 0.0027 | 0.0008 | 66 |
114
+ | 0.0025 | 0.0007 | 67 |
115
+ | 0.0018 | 0.0007 | 68 |
116
+ | 0.0016 | 0.0006 | 69 |
117
+ | 0.0043 | 0.0007 | 70 |
118
+ | 0.0129 | 0.0007 | 71 |
119
+ | 0.0036 | 0.0007 | 72 |
120
+ | 0.0033 | 0.0007 | 73 |
121
+ | 0.0036 | 0.0007 | 74 |
122
+ | 0.0036 | 0.0007 | 75 |
123
+ | 0.0033 | 0.0007 | 76 |
124
+ | 0.0040 | 0.0007 | 77 |
125
+ | 0.0058 | 0.0007 | 78 |
126
+ | 0.0263 | 0.0008 | 79 |
127
+ | 0.0024 | 0.0014 | 80 |
128
+ | 0.0161 | 0.0023 | 81 |
129
+ | 0.0024 | 0.0032 | 82 |
130
+ | 0.0091 | 0.0036 | 83 |
131
+ | 0.0031 | 0.0034 | 84 |
132
+ | 0.0033 | 0.0032 | 85 |
133
+ | 0.0042 | 0.0028 | 86 |
134
+ | 0.0018 | 0.0024 | 87 |
135
+ | 0.0022 | 0.0022 | 88 |
136
+ | 0.0015 | 0.0020 | 89 |
137
+ | 0.0036 | 0.0018 | 90 |
138
+ | 0.0029 | 0.0016 | 91 |
139
+ | 0.0064 | 0.0013 | 92 |
140
+ | 0.0015 | 0.0012 | 93 |
141
+ | 0.0059 | 0.0011 | 94 |
142
+ | 0.0044 | 0.0011 | 95 |
143
+ | 0.0031 | 0.0011 | 96 |
144
+ | 0.0071 | 0.0011 | 97 |
145
+ | 0.1268 | 0.0010 | 98 |
146
+ | 0.0022 | 0.0010 | 99 |
147
+
148
+
149
+ ### Framework versions
150
+
151
+ - Transformers 4.45.2
152
+ - TensorFlow 2.17.0
153
+ - Datasets 2.20.0
154
+ - Tokenizers 0.20.1
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Labira/LabiraPJOK_4_100_Full",
3
+ "architectures": [
4
+ "BertForQuestionAnswering"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_ids": 0,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-12,
16
+ "max_position_embeddings": 512,
17
+ "model_type": "bert",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "output_past": true,
21
+ "pad_token_id": 0,
22
+ "position_embedding_type": "absolute",
23
+ "transformers_version": "4.45.2",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 31923
27
+ }
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 sha256:7fd748fcb791f018d601a96dcd978dd7c510e6c8630087011eb1ad4fa86d7806
3
+ size 440145872
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[MASK]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[CLS]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[SEP]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "max_length": 384,
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "never_split": null,
52
+ "pad_to_multiple_of": null,
53
+ "pad_token": "[PAD]",
54
+ "pad_token_type_id": 0,
55
+ "padding_side": "right",
56
+ "sep_token": "[SEP]",
57
+ "stride": 0,
58
+ "strip_accents": null,
59
+ "tokenize_chinese_chars": true,
60
+ "tokenizer_class": "BertTokenizer",
61
+ "truncation_side": "right",
62
+ "truncation_strategy": "only_second",
63
+ "unk_token": "[UNK]"
64
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff