Hugging Face's logo

thanavut
/
output

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
thanavut commited on
Commit
c42358f
•
1 Parent(s): 99032d0

0.68

Browse files
Files changed (9) hide show
  1. README.md +103 -0
  2. config.json +67 -0
  3. model.safetensors +3 -0
  4. runs/Mar11_16-02-39_053e0c5ab5f8/events.out.tfevents.1710172961.053e0c5ab5f8.34.0 +3 -0
  5. special_tokens_map.json +37 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +57 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: avsolatorio/GIST-large-Embedding-v0
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - f1
8
+ - accuracy
9
+ model-index:
10
+ - name: output
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # output
18
+
19
+ This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.3318
22
+ - F1: 0.6260
23
+ - Roc Auc: 0.7856
24
+ - Accuracy: 0.1786
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 5e-05
44
+ - train_batch_size: 16
45
+ - eval_batch_size: 16
46
+ - seed: 42
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: linear
49
+ - num_epochs: 40
50
+ - mixed_precision_training: Native AMP
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
55
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
56
+ | 0.4488 | 1.0 | 25 | 0.3675 | 0.0779 | 0.5325 | 0.0179 |
57
+ | 0.3356 | 2.0 | 50 | 0.3240 | 0.1910 | 0.5740 | 0.0536 |
58
+ | 0.2818 | 3.0 | 75 | 0.2998 | 0.3079 | 0.6141 | 0.0357 |
59
+ | 0.2346 | 4.0 | 100 | 0.2767 | 0.4724 | 0.6938 | 0.0893 |
60
+ | 0.1954 | 5.0 | 125 | 0.2833 | 0.4403 | 0.6850 | 0.0714 |
61
+ | 0.1605 | 6.0 | 150 | 0.2706 | 0.5153 | 0.7220 | 0.0536 |
62
+ | 0.134 | 7.0 | 175 | 0.2719 | 0.5218 | 0.7311 | 0.1071 |
63
+ | 0.1133 | 8.0 | 200 | 0.2776 | 0.5369 | 0.7475 | 0.0714 |
64
+ | 0.0935 | 9.0 | 225 | 0.2626 | 0.5796 | 0.7555 | 0.1429 |
65
+ | 0.0808 | 10.0 | 250 | 0.2669 | 0.5778 | 0.7576 | 0.125 |
66
+ | 0.0694 | 11.0 | 275 | 0.2633 | 0.5963 | 0.7731 | 0.1429 |
67
+ | 0.0573 | 12.0 | 300 | 0.2661 | 0.5658 | 0.7612 | 0.1071 |
68
+ | 0.0496 | 13.0 | 325 | 0.2543 | 0.6004 | 0.7643 | 0.1429 |
69
+ | 0.0429 | 14.0 | 350 | 0.2735 | 0.5936 | 0.7729 | 0.1071 |
70
+ | 0.0366 | 15.0 | 375 | 0.2694 | 0.6179 | 0.7848 | 0.1429 |
71
+ | 0.0323 | 16.0 | 400 | 0.2724 | 0.6217 | 0.7865 | 0.1429 |
72
+ | 0.0289 | 17.0 | 425 | 0.2821 | 0.6157 | 0.7734 | 0.1786 |
73
+ | 0.0257 | 18.0 | 450 | 0.2787 | 0.6399 | 0.7854 | 0.1786 |
74
+ | 0.0229 | 19.0 | 475 | 0.2887 | 0.6114 | 0.7774 | 0.1071 |
75
+ | 0.02 | 20.0 | 500 | 0.2807 | 0.6394 | 0.7970 | 0.1429 |
76
+ | 0.0182 | 21.0 | 525 | 0.2852 | 0.6343 | 0.7797 | 0.1786 |
77
+ | 0.0165 | 22.0 | 550 | 0.2899 | 0.6132 | 0.7774 | 0.1607 |
78
+ | 0.0148 | 23.0 | 575 | 0.3000 | 0.6285 | 0.7888 | 0.1607 |
79
+ | 0.0136 | 24.0 | 600 | 0.2950 | 0.6409 | 0.7908 | 0.1429 |
80
+ | 0.0123 | 25.0 | 625 | 0.3034 | 0.6165 | 0.7815 | 0.1607 |
81
+ | 0.0112 | 26.0 | 650 | 0.3061 | 0.6384 | 0.7949 | 0.1607 |
82
+ | 0.0103 | 27.0 | 675 | 0.3041 | 0.6371 | 0.7906 | 0.1964 |
83
+ | 0.0095 | 28.0 | 700 | 0.3189 | 0.6204 | 0.7836 | 0.1429 |
84
+ | 0.009 | 29.0 | 725 | 0.3115 | 0.6267 | 0.7890 | 0.1786 |
85
+ | 0.0083 | 30.0 | 750 | 0.3168 | 0.6264 | 0.7856 | 0.1786 |
86
+ | 0.008 | 31.0 | 775 | 0.3199 | 0.6320 | 0.7866 | 0.1786 |
87
+ | 0.0075 | 32.0 | 800 | 0.3271 | 0.6208 | 0.7839 | 0.1607 |
88
+ | 0.0072 | 33.0 | 825 | 0.3219 | 0.6240 | 0.7856 | 0.1607 |
89
+ | 0.0068 | 34.0 | 850 | 0.3257 | 0.6312 | 0.7849 | 0.1786 |
90
+ | 0.0065 | 35.0 | 875 | 0.3249 | 0.6247 | 0.7855 | 0.1786 |
91
+ | 0.0063 | 36.0 | 900 | 0.3296 | 0.6291 | 0.7881 | 0.1786 |
92
+ | 0.0062 | 37.0 | 925 | 0.3302 | 0.6227 | 0.7844 | 0.1786 |
93
+ | 0.006 | 38.0 | 950 | 0.3287 | 0.6260 | 0.7856 | 0.1786 |
94
+ | 0.0058 | 39.0 | 975 | 0.3317 | 0.6260 | 0.7856 | 0.1786 |
95
+ | 0.0058 | 40.0 | 1000 | 0.3318 | 0.6260 | 0.7856 | 0.1786 |
96
+
97
+
98
+ ### Framework versions
99
+
100
+ - Transformers 4.38.1
101
+ - Pytorch 2.1.2
102
+ - Datasets 2.1.0
103
+ - Tokenizers 0.15.2
config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "avsolatorio/GIST-large-Embedding-v0",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 1024,
12
+ "id2label": {
13
+ "0": "CE",
14
+ "1": "ENV",
15
+ "2": "BME",
16
+ "3": "PE",
17
+ "4": "METAL",
18
+ "5": "ME",
19
+ "6": "EE",
20
+ "7": "CPE",
21
+ "8": "OPTIC",
22
+ "9": "NANO",
23
+ "10": "CHE",
24
+ "11": "MATENG",
25
+ "12": "AGRI",
26
+ "13": "EDU",
27
+ "14": "IE",
28
+ "15": "SAFETY",
29
+ "16": "MATH",
30
+ "17": "MATSCI"
31
+ },
32
+ "initializer_range": 0.02,
33
+ "intermediate_size": 4096,
34
+ "label2id": {
35
+ "AGRI": 12,
36
+ "BME": 2,
37
+ "CE": 0,
38
+ "CHE": 10,
39
+ "CPE": 7,
40
+ "EDU": 13,
41
+ "EE": 6,
42
+ "ENV": 1,
43
+ "IE": 14,
44
+ "MATENG": 11,
45
+ "MATH": 16,
46
+ "MATSCI": 17,
47
+ "ME": 5,
48
+ "METAL": 4,
49
+ "NANO": 9,
50
+ "OPTIC": 8,
51
+ "PE": 3,
52
+ "SAFETY": 15
53
+ },
54
+ "layer_norm_eps": 1e-12,
55
+ "max_position_embeddings": 512,
56
+ "model_type": "bert",
57
+ "num_attention_heads": 16,
58
+ "num_hidden_layers": 24,
59
+ "pad_token_id": 0,
60
+ "position_embedding_type": "absolute",
61
+ "problem_type": "multi_label_classification",
62
+ "torch_dtype": "float32",
63
+ "transformers_version": "4.38.1",
64
+ "type_vocab_size": 2,
65
+ "use_cache": true,
66
+ "vocab_size": 30522
67
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da99fdf7e0bb11d3600630d6305da278d8cd6a9cdf5bf405b31e2b942dbf0292
3
+ size 1340688368
runs/Mar11_16-02-39_053e0c5ab5f8/events.out.tfevents.1710172961.053e0c5ab5f8.34.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a4332c2cf028865c5dc9efbb9e003f49fcce585a0bf9ccd26a83b91c7d7e9b6
3
+ size 30775
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
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b8843979bc85a81d08ffdff4c9fc17eb1af5a480b4c652c8042bfd34b094d8c
3
+ size 4856
vocab.txt ADDED
The diff for this file is too large to render. See raw diff