Hugging Face's logo

hung200504
/
bert-10

Question Answering
Transformers
PyTorch
bert
Generated from Trainer
Model card Files
xet
Community
1
hung200504 commited on
Commit
2b514b8
路
1 Parent(s): 5c3edf3

bert-cased

Browse files
Files changed (9) hide show
  1. README.md +121 -0
  2. added_tokens.json +7 -0
  3. config.json +28 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +59 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-4.0
3
+ base_model: deepset/bert-base-cased-squad2
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: bert-10
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # bert-10
15
+
16
+ This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 9.5797
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 2e-07
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 3
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | 10.8556 | 0.05 | 5 | 12.3235 |
50
+ | 10.8413 | 0.09 | 10 | 12.2591 |
51
+ | 11.0649 | 0.14 | 15 | 12.1778 |
52
+ | 11.6408 | 0.18 | 20 | 12.0989 |
53
+ | 11.3732 | 0.23 | 25 | 12.0213 |
54
+ | 10.5122 | 0.28 | 30 | 11.9458 |
55
+ | 10.6594 | 0.32 | 35 | 11.8691 |
56
+ | 10.745 | 0.37 | 40 | 11.7928 |
57
+ | 10.8256 | 0.41 | 45 | 11.7163 |
58
+ | 10.1627 | 0.46 | 50 | 11.6430 |
59
+ | 10.9907 | 0.5 | 55 | 11.5703 |
60
+ | 10.1394 | 0.55 | 60 | 11.4997 |
61
+ | 9.6059 | 0.6 | 65 | 11.4287 |
62
+ | 9.4972 | 0.64 | 70 | 11.3621 |
63
+ | 10.2252 | 0.69 | 75 | 11.2949 |
64
+ | 10.4887 | 0.73 | 80 | 11.2288 |
65
+ | 9.9616 | 0.78 | 85 | 11.1638 |
66
+ | 9.5775 | 0.83 | 90 | 11.1003 |
67
+ | 9.5971 | 0.87 | 95 | 11.0381 |
68
+ | 9.5745 | 0.92 | 100 | 10.9773 |
69
+ | 9.3218 | 0.96 | 105 | 10.9178 |
70
+ | 9.4906 | 1.01 | 110 | 10.8597 |
71
+ | 9.1168 | 1.06 | 115 | 10.8030 |
72
+ | 9.8009 | 1.1 | 120 | 10.7465 |
73
+ | 9.3632 | 1.15 | 125 | 10.6915 |
74
+ | 8.9858 | 1.19 | 130 | 10.6399 |
75
+ | 9.2904 | 1.24 | 135 | 10.5874 |
76
+ | 9.5344 | 1.28 | 140 | 10.5370 |
77
+ | 9.0034 | 1.33 | 145 | 10.4871 |
78
+ | 9.3024 | 1.38 | 150 | 10.4384 |
79
+ | 8.7905 | 1.42 | 155 | 10.3920 |
80
+ | 8.9329 | 1.47 | 160 | 10.3465 |
81
+ | 8.9834 | 1.51 | 165 | 10.3027 |
82
+ | 8.7307 | 1.56 | 170 | 10.2607 |
83
+ | 8.6729 | 1.61 | 175 | 10.2200 |
84
+ | 9.1849 | 1.65 | 180 | 10.1794 |
85
+ | 9.1618 | 1.7 | 185 | 10.1400 |
86
+ | 8.9048 | 1.74 | 190 | 10.1023 |
87
+ | 8.9427 | 1.79 | 195 | 10.0655 |
88
+ | 9.1052 | 1.83 | 200 | 10.0294 |
89
+ | 9.1123 | 1.88 | 205 | 9.9938 |
90
+ | 9.0476 | 1.93 | 210 | 9.9604 |
91
+ | 8.5532 | 1.97 | 215 | 9.9285 |
92
+ | 8.7871 | 2.02 | 220 | 9.8977 |
93
+ | 8.5984 | 2.06 | 225 | 9.8690 |
94
+ | 8.7009 | 2.11 | 230 | 9.8414 |
95
+ | 8.9376 | 2.16 | 235 | 9.8146 |
96
+ | 8.3535 | 2.2 | 240 | 9.7906 |
97
+ | 8.5805 | 2.25 | 245 | 9.7675 |
98
+ | 8.4641 | 2.29 | 250 | 9.7463 |
99
+ | 8.3975 | 2.34 | 255 | 9.7263 |
100
+ | 8.7698 | 2.39 | 260 | 9.7070 |
101
+ | 8.3541 | 2.43 | 265 | 9.6901 |
102
+ | 8.5443 | 2.48 | 270 | 9.6743 |
103
+ | 8.1539 | 2.52 | 275 | 9.6595 |
104
+ | 7.9856 | 2.57 | 280 | 9.6459 |
105
+ | 8.2532 | 2.61 | 285 | 9.6333 |
106
+ | 8.2116 | 2.66 | 290 | 9.6221 |
107
+ | 8.9557 | 2.71 | 295 | 9.6119 |
108
+ | 8.0754 | 2.75 | 300 | 9.6032 |
109
+ | 7.9534 | 2.8 | 305 | 9.5956 |
110
+ | 8.5578 | 2.84 | 310 | 9.5899 |
111
+ | 8.6403 | 2.89 | 315 | 9.5848 |
112
+ | 8.1103 | 2.94 | 320 | 9.5817 |
113
+ | 8.3785 | 2.98 | 325 | 9.5797 |
114
+
115
+
116
+ ### Framework versions
117
+
118
+ - Transformers 4.34.0
119
+ - Pytorch 2.0.1+cu118
120
+ - Datasets 2.14.5
121
+ - Tokenizers 0.14.1
added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "[CLS]": 101,
3
+ "[MASK]": 103,
4
+ "[PAD]": 0,
5
+ "[SEP]": 102,
6
+ "[UNK]": 100
7
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "deepset/bert-base-cased-squad2",
3
+ "architectures": [
4
+ "BertForQuestionAnswering"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "language": "english",
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "name": "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
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.34.0",
25
+ "type_vocab_size": 2,
26
+ "use_cache": true,
27
+ "vocab_size": 28996
28
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d869738eeff6d0a35f97ae5017f6a0351b710478357a9ab760a32307f982b22f
3
+ size 430952617
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_basic_tokenize": true,
48
+ "do_lower_case": false,
49
+ "mask_token": "[MASK]",
50
+ "max_len": 512,
51
+ "model_max_length": 512,
52
+ "never_split": null,
53
+ "pad_token": "[PAD]",
54
+ "sep_token": "[SEP]",
55
+ "strip_accents": null,
56
+ "tokenize_chinese_chars": true,
57
+ "tokenizer_class": "BertTokenizer",
58
+ "unk_token": "[UNK]"
59
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56f0f70ea4084d32970f362255f80d2da96d6d332d36941bad8b4e9e02612f09
3
+ size 4027
vocab.txt ADDED
The diff for this file is too large to render. See raw diff