Hugging Face's logo

gechim
/
XMLRobertaLexical-finetuned_70KURL

Transformers
Safetensors
xlm-roberta
Generated from Trainer
Model card Files
xet
Community
gechim commited on
Commit
e3e39d8
·
verified ·
1 Parent(s): 75085e0

Upload 9 files

Browse files
Files changed (9) hide show
  1. .gitattributes +36 -35
  2. README.md +147 -0
  3. config.json +37 -0
  4. model.safetensors +3 -0
  5. sentencepiece.bpe.model +3 -0
  6. special_tokens_map.json +15 -0
  7. tokenizer.json +3 -0
  8. tokenizer_config.json +54 -0
  9. training_args.bin +3 -0
.gitattributes CHANGED
@@ -1,35 +1,36 @@
1
- *.7z filter=lfs diff=lfs merge=lfs -text
2
- *.arrow filter=lfs diff=lfs merge=lfs -text
3
- *.bin filter=lfs diff=lfs merge=lfs -text
4
- *.bz2 filter=lfs diff=lfs merge=lfs -text
5
- *.ckpt filter=lfs diff=lfs merge=lfs -text
6
- *.ftz filter=lfs diff=lfs merge=lfs -text
7
- *.gz filter=lfs diff=lfs merge=lfs -text
8
- *.h5 filter=lfs diff=lfs merge=lfs -text
9
- *.joblib filter=lfs diff=lfs merge=lfs -text
10
- *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
- *.mlmodel filter=lfs diff=lfs merge=lfs -text
12
- *.model filter=lfs diff=lfs merge=lfs -text
13
- *.msgpack filter=lfs diff=lfs merge=lfs -text
14
- *.npy filter=lfs diff=lfs merge=lfs -text
15
- *.npz filter=lfs diff=lfs merge=lfs -text
16
- *.onnx filter=lfs diff=lfs merge=lfs -text
17
- *.ot filter=lfs diff=lfs merge=lfs -text
18
- *.parquet filter=lfs diff=lfs merge=lfs -text
19
- *.pb filter=lfs diff=lfs merge=lfs -text
20
- *.pickle filter=lfs diff=lfs merge=lfs -text
21
- *.pkl filter=lfs diff=lfs merge=lfs -text
22
- *.pt filter=lfs diff=lfs merge=lfs -text
23
- *.pth filter=lfs diff=lfs merge=lfs -text
24
- *.rar filter=lfs diff=lfs merge=lfs -text
25
- *.safetensors filter=lfs diff=lfs merge=lfs -text
26
- saved_model/**/* filter=lfs diff=lfs merge=lfs -text
27
- *.tar.* filter=lfs diff=lfs merge=lfs -text
28
- *.tar filter=lfs diff=lfs merge=lfs -text
29
- *.tflite filter=lfs diff=lfs merge=lfs -text
30
- *.tgz filter=lfs diff=lfs merge=lfs -text
31
- *.wasm filter=lfs diff=lfs merge=lfs -text
32
- *.xz filter=lfs diff=lfs merge=lfs -text
33
- *.zip filter=lfs diff=lfs merge=lfs -text
34
- *.zst filter=lfs diff=lfs merge=lfs -text
35
- *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
5
+ *.ckpt filter=lfs diff=lfs merge=lfs -text
6
+ *.ftz filter=lfs diff=lfs merge=lfs -text
7
+ *.gz filter=lfs diff=lfs merge=lfs -text
8
+ *.h5 filter=lfs diff=lfs merge=lfs -text
9
+ *.joblib filter=lfs diff=lfs merge=lfs -text
10
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
12
+ *.model filter=lfs diff=lfs merge=lfs -text
13
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
14
+ *.npy filter=lfs diff=lfs merge=lfs -text
15
+ *.npz filter=lfs diff=lfs merge=lfs -text
16
+ *.onnx filter=lfs diff=lfs merge=lfs -text
17
+ *.ot filter=lfs diff=lfs merge=lfs -text
18
+ *.parquet filter=lfs diff=lfs merge=lfs -text
19
+ *.pb filter=lfs diff=lfs merge=lfs -text
20
+ *.pickle filter=lfs diff=lfs merge=lfs -text
21
+ *.pkl filter=lfs diff=lfs merge=lfs -text
22
+ *.pt filter=lfs diff=lfs merge=lfs -text
23
+ *.pth filter=lfs diff=lfs merge=lfs -text
24
+ *.rar filter=lfs diff=lfs merge=lfs -text
25
+ *.safetensors filter=lfs diff=lfs merge=lfs -text
26
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
27
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
28
+ *.tar filter=lfs diff=lfs merge=lfs -text
29
+ *.tflite filter=lfs diff=lfs merge=lfs -text
30
+ *.tgz filter=lfs diff=lfs merge=lfs -text
31
+ *.wasm filter=lfs diff=lfs merge=lfs -text
32
+ *.xz filter=lfs diff=lfs merge=lfs -text
33
+ *.zip filter=lfs diff=lfs merge=lfs -text
34
+ *.zst filter=lfs diff=lfs merge=lfs -text
35
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: FacebookAI/xlm-roberta-base
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - f1
9
+ model-index:
10
+ - name: XMLRobertaLexical-finetuned_70KURL
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
+ # XMLRobertaLexical-finetuned_70KURL
18
+
19
+ This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.2650
22
+ - Accuracy: 0.9691
23
+ - F1: 0.9692
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 2e-05
43
+ - train_batch_size: 64
44
+ - eval_batch_size: 64
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 20
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
+ |:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|
54
+ | No log | 0.2326 | 200 | 0.1878 | 0.9387 | 0.9389 |
55
+ | No log | 0.4651 | 400 | 0.1532 | 0.9467 | 0.9474 |
56
+ | No log | 0.6977 | 600 | 0.1399 | 0.9565 | 0.9569 |
57
+ | No log | 0.9302 | 800 | 0.1293 | 0.9615 | 0.9616 |
58
+ | 0.204 | 1.1628 | 1000 | 0.1645 | 0.9615 | 0.9616 |
59
+ | 0.204 | 1.3953 | 1200 | 0.1162 | 0.9634 | 0.9636 |
60
+ | 0.204 | 1.6279 | 1400 | 0.1178 | 0.9632 | 0.9635 |
61
+ | 0.204 | 1.8605 | 1600 | 0.1076 | 0.9672 | 0.9673 |
62
+ | 0.1192 | 2.0930 | 1800 | 0.1150 | 0.9660 | 0.9661 |
63
+ | 0.1192 | 2.3256 | 2000 | 0.1125 | 0.9676 | 0.9678 |
64
+ | 0.1192 | 2.5581 | 2200 | 0.1148 | 0.9654 | 0.9655 |
65
+ | 0.1192 | 2.7907 | 2400 | 0.1114 | 0.9682 | 0.9683 |
66
+ | 0.098 | 3.0233 | 2600 | 0.1177 | 0.9662 | 0.9661 |
67
+ | 0.098 | 3.2558 | 2800 | 0.1199 | 0.9650 | 0.9652 |
68
+ | 0.098 | 3.4884 | 3000 | 0.1050 | 0.9702 | 0.9703 |
69
+ | 0.098 | 3.7209 | 3200 | 0.1018 | 0.9677 | 0.9678 |
70
+ | 0.098 | 3.9535 | 3400 | 0.1201 | 0.9674 | 0.9675 |
71
+ | 0.0837 | 4.1860 | 3600 | 0.1054 | 0.9687 | 0.9687 |
72
+ | 0.0837 | 4.4186 | 3800 | 0.1205 | 0.9679 | 0.9682 |
73
+ | 0.0837 | 4.6512 | 4000 | 0.1295 | 0.9686 | 0.9686 |
74
+ | 0.0837 | 4.8837 | 4200 | 0.1346 | 0.9659 | 0.9659 |
75
+ | 0.0713 | 5.1163 | 4400 | 0.1298 | 0.9662 | 0.9663 |
76
+ | 0.0713 | 5.3488 | 4600 | 0.1220 | 0.9671 | 0.9671 |
77
+ | 0.0713 | 5.5814 | 4800 | 0.1352 | 0.9657 | 0.9656 |
78
+ | 0.0713 | 5.8140 | 5000 | 0.1745 | 0.9622 | 0.9626 |
79
+ | 0.0617 | 6.0465 | 5200 | 0.1428 | 0.9662 | 0.9662 |
80
+ | 0.0617 | 6.2791 | 5400 | 0.1346 | 0.9678 | 0.9678 |
81
+ | 0.0617 | 6.5116 | 5600 | 0.1428 | 0.9689 | 0.9691 |
82
+ | 0.0617 | 6.7442 | 5800 | 0.1550 | 0.9647 | 0.9645 |
83
+ | 0.0617 | 6.9767 | 6000 | 0.1326 | 0.9687 | 0.9688 |
84
+ | 0.0538 | 7.2093 | 6200 | 0.1412 | 0.9650 | 0.9650 |
85
+ | 0.0538 | 7.4419 | 6400 | 0.1502 | 0.9684 | 0.9686 |
86
+ | 0.0538 | 7.6744 | 6600 | 0.1285 | 0.9671 | 0.9672 |
87
+ | 0.0538 | 7.9070 | 6800 | 0.1344 | 0.9691 | 0.9691 |
88
+ | 0.0456 | 8.1395 | 7000 | 0.1472 | 0.9681 | 0.9681 |
89
+ | 0.0456 | 8.3721 | 7200 | 0.1548 | 0.9670 | 0.9671 |
90
+ | 0.0456 | 8.6047 | 7400 | 0.1736 | 0.9679 | 0.9681 |
91
+ | 0.0456 | 8.8372 | 7600 | 0.1827 | 0.9674 | 0.9675 |
92
+ | 0.0387 | 9.0698 | 7800 | 0.1919 | 0.9686 | 0.9686 |
93
+ | 0.0387 | 9.3023 | 8000 | 0.1839 | 0.9689 | 0.9690 |
94
+ | 0.0387 | 9.5349 | 8200 | 0.1987 | 0.9674 | 0.9673 |
95
+ | 0.0387 | 9.7674 | 8400 | 0.1908 | 0.9679 | 0.9681 |
96
+ | 0.0315 | 10.0 | 8600 | 0.1880 | 0.9678 | 0.9680 |
97
+ | 0.0315 | 10.2326 | 8800 | 0.2043 | 0.9689 | 0.9691 |
98
+ | 0.0315 | 10.4651 | 9000 | 0.1936 | 0.9688 | 0.9688 |
99
+ | 0.0315 | 10.6977 | 9200 | 0.1643 | 0.9674 | 0.9675 |
100
+ | 0.0315 | 10.9302 | 9400 | 0.1884 | 0.9680 | 0.9680 |
101
+ | 0.0281 | 11.1628 | 9600 | 0.1910 | 0.9672 | 0.9674 |
102
+ | 0.0281 | 11.3953 | 9800 | 0.1883 | 0.9676 | 0.9676 |
103
+ | 0.0281 | 11.6279 | 10000 | 0.1829 | 0.9692 | 0.9693 |
104
+ | 0.0281 | 11.8605 | 10200 | 0.1896 | 0.9674 | 0.9675 |
105
+ | 0.0246 | 12.0930 | 10400 | 0.2215 | 0.9677 | 0.9677 |
106
+ | 0.0246 | 12.3256 | 10600 | 0.2046 | 0.9669 | 0.9670 |
107
+ | 0.0246 | 12.5581 | 10800 | 0.2104 | 0.9673 | 0.9674 |
108
+ | 0.0246 | 12.7907 | 11000 | 0.2025 | 0.9687 | 0.9688 |
109
+ | 0.0214 | 13.0233 | 11200 | 0.2057 | 0.9678 | 0.9678 |
110
+ | 0.0214 | 13.2558 | 11400 | 0.2248 | 0.9661 | 0.9660 |
111
+ | 0.0214 | 13.4884 | 11600 | 0.2242 | 0.9690 | 0.9690 |
112
+ | 0.0214 | 13.7209 | 11800 | 0.2218 | 0.9677 | 0.9677 |
113
+ | 0.0214 | 13.9535 | 12000 | 0.2150 | 0.9665 | 0.9664 |
114
+ | 0.0189 | 14.1860 | 12200 | 0.2232 | 0.9683 | 0.9684 |
115
+ | 0.0189 | 14.4186 | 12400 | 0.2241 | 0.9687 | 0.9688 |
116
+ | 0.0189 | 14.6512 | 12600 | 0.2155 | 0.9677 | 0.9678 |
117
+ | 0.0189 | 14.8837 | 12800 | 0.2133 | 0.9664 | 0.9664 |
118
+ | 0.0167 | 15.1163 | 13000 | 0.2243 | 0.9680 | 0.9680 |
119
+ | 0.0167 | 15.3488 | 13200 | 0.2238 | 0.9686 | 0.9686 |
120
+ | 0.0167 | 15.5814 | 13400 | 0.2407 | 0.9672 | 0.9672 |
121
+ | 0.0167 | 15.8140 | 13600 | 0.2383 | 0.9659 | 0.9658 |
122
+ | 0.014 | 16.0465 | 13800 | 0.2371 | 0.9671 | 0.9671 |
123
+ | 0.014 | 16.2791 | 14000 | 0.2507 | 0.9676 | 0.9676 |
124
+ | 0.014 | 16.5116 | 14200 | 0.2412 | 0.9674 | 0.9675 |
125
+ | 0.014 | 16.7442 | 14400 | 0.2475 | 0.9687 | 0.9687 |
126
+ | 0.014 | 16.9767 | 14600 | 0.2508 | 0.9679 | 0.9679 |
127
+ | 0.0115 | 17.2093 | 14800 | 0.2537 | 0.9691 | 0.9691 |
128
+ | 0.0115 | 17.4419 | 15000 | 0.2574 | 0.9679 | 0.9680 |
129
+ | 0.0115 | 17.6744 | 15200 | 0.2586 | 0.9679 | 0.9680 |
130
+ | 0.0115 | 17.9070 | 15400 | 0.2563 | 0.9675 | 0.9675 |
131
+ | 0.0102 | 18.1395 | 15600 | 0.2566 | 0.9685 | 0.9685 |
132
+ | 0.0102 | 18.3721 | 15800 | 0.2595 | 0.9695 | 0.9696 |
133
+ | 0.0102 | 18.6047 | 16000 | 0.2619 | 0.9687 | 0.9687 |
134
+ | 0.0102 | 18.8372 | 16200 | 0.2643 | 0.9679 | 0.9679 |
135
+ | 0.0093 | 19.0698 | 16400 | 0.2721 | 0.9688 | 0.9688 |
136
+ | 0.0093 | 19.3023 | 16600 | 0.2641 | 0.9683 | 0.9684 |
137
+ | 0.0093 | 19.5349 | 16800 | 0.2674 | 0.9686 | 0.9686 |
138
+ | 0.0093 | 19.7674 | 17000 | 0.2653 | 0.9687 | 0.9687 |
139
+ | 0.0097 | 20.0 | 17200 | 0.2650 | 0.9691 | 0.9692 |
140
+
141
+
142
+ ### Framework versions
143
+
144
+ - Transformers 4.41.2
145
+ - Pytorch 2.1.2
146
+ - Datasets 2.18.0
147
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "FacebookAI/xlm-roberta-base",
3
+ "architectures": [
4
+ "XMLRobertaLexical"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "B\u00ecnh th\u01b0\u1eddng",
15
+ "1": "T\u00ednh nhi\u1ec7m th\u1ea5p"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "B\u00ecnh th\u01b0\u1eddng": 0,
21
+ "T\u00ednh nhi\u1ec7m th\u1ea5p": 1
22
+ },
23
+ "layer_norm_eps": 1e-05,
24
+ "max_position_embeddings": 514,
25
+ "model_type": "xlm-roberta",
26
+ "num_attention_heads": 12,
27
+ "num_classes": 2,
28
+ "num_hidden_layers": 12,
29
+ "output_past": true,
30
+ "pad_token_id": 1,
31
+ "position_embedding_type": "absolute",
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.41.2",
34
+ "type_vocab_size": 1,
35
+ "use_cache": true,
36
+ "vocab_size": 250002
37
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0fba4b96a944dc320c39e894f1741a14a6d1ce2a899aa4097e721705227d977a
3
+ size 1110649624
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 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": {
6
+ "content": "<mask>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "</s>",
14
+ "unk_token": "<unk>"
15
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20
3
+ size 17082734
tokenizer_config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<pad>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "250001": {
36
+ "content": "<mask>",
37
+ "lstrip": true,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "bos_token": "<s>",
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "<s>",
47
+ "eos_token": "</s>",
48
+ "mask_token": "<mask>",
49
+ "model_max_length": 512,
50
+ "pad_token": "<pad>",
51
+ "sep_token": "</s>",
52
+ "tokenizer_class": "XLMRobertaTokenizer",
53
+ "unk_token": "<unk>"
54
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3fc55d728460159d6c89c05799a10cce2c8e86a8fd02266f3abdd7a9f8c169e
3
+ size 5112