Hugging Face's logo

Narkantak
/
Intent-classification-BERT-Large-Ashu

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Narkantak commited on
Commit
e7d6296
·
verified ·
1 Parent(s): e4be402

End of training

Browse files
Files changed (4) hide show
  1. README.md +113 -0
  2. config.json +43 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google-bert/bert-large-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - f1
9
+ - precision
10
+ - recall
11
+ model-index:
12
+ - name: Intent-classification-BERT-Large-Ashu
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # Intent-classification-BERT-Large-Ashu
20
+
21
+ This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.6944
24
+ - Accuracy: 0.8730
25
+ - F1: 0.7885
26
+ - Precision: 0.7819
27
+ - Recall: 0.7981
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 2e-05
47
+ - train_batch_size: 16
48
+ - eval_batch_size: 32
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - num_epochs: 30
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
+ | 1.5058 | 0.62 | 10 | 1.4327 | 0.4839 | 0.3327 | 0.31 | 0.4444 |
59
+ | 1.256 | 1.25 | 20 | 1.3362 | 0.5 | 0.3477 | 0.3129 | 0.4630 |
60
+ | 1.1161 | 1.88 | 30 | 1.2563 | 0.5323 | 0.4083 | 0.3988 | 0.5121 |
61
+ | 0.9064 | 2.5 | 40 | 1.1297 | 0.6613 | 0.5365 | 0.4832 | 0.6219 |
62
+ | 0.8284 | 3.12 | 50 | 1.0384 | 0.6935 | 0.5968 | 0.6653 | 0.6608 |
63
+ | 0.7162 | 3.75 | 60 | 0.9845 | 0.7419 | 0.6827 | 0.7087 | 0.7196 |
64
+ | 0.6173 | 4.38 | 70 | 0.8139 | 0.7419 | 0.6978 | 0.7040 | 0.7323 |
65
+ | 0.5229 | 5.0 | 80 | 0.7709 | 0.7742 | 0.7368 | 0.7158 | 0.7799 |
66
+ | 0.3564 | 5.62 | 90 | 0.7867 | 0.7742 | 0.7360 | 0.7109 | 0.7799 |
67
+ | 0.2924 | 6.25 | 100 | 0.6311 | 0.8065 | 0.7716 | 0.7489 | 0.8148 |
68
+ | 0.2573 | 6.88 | 110 | 0.6294 | 0.7742 | 0.7520 | 0.7264 | 0.7926 |
69
+ | 0.1957 | 7.5 | 120 | 0.6557 | 0.7742 | 0.7520 | 0.7264 | 0.7926 |
70
+ | 0.1624 | 8.12 | 130 | 0.7556 | 0.8065 | 0.7716 | 0.7489 | 0.8148 |
71
+ | 0.1594 | 8.75 | 140 | 0.5861 | 0.7903 | 0.7663 | 0.7461 | 0.8037 |
72
+ | 0.1699 | 9.38 | 150 | 0.8326 | 0.8065 | 0.7716 | 0.7489 | 0.8148 |
73
+ | 0.1817 | 10.0 | 160 | 0.6722 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
74
+ | 0.1366 | 10.62 | 170 | 0.8913 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
75
+ | 0.1584 | 11.25 | 180 | 0.8597 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
76
+ | 0.139 | 11.88 | 190 | 0.9325 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
77
+ | 0.0953 | 12.5 | 200 | 0.9940 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
78
+ | 0.1752 | 13.12 | 210 | 0.9987 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
79
+ | 0.1289 | 13.75 | 220 | 0.9073 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
80
+ | 0.1174 | 14.38 | 230 | 1.0821 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
81
+ | 0.1009 | 15.0 | 240 | 1.1234 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
82
+ | 0.1161 | 15.62 | 250 | 1.1751 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
83
+ | 0.1026 | 16.25 | 260 | 1.0199 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
84
+ | 0.1161 | 16.88 | 270 | 1.1464 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
85
+ | 0.0833 | 17.5 | 280 | 1.3141 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
86
+ | 0.1129 | 18.12 | 290 | 1.2621 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
87
+ | 0.1009 | 18.75 | 300 | 1.2209 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
88
+ | 0.1035 | 19.38 | 310 | 1.2660 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
89
+ | 0.1111 | 20.0 | 320 | 1.3104 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
90
+ | 0.1019 | 20.62 | 330 | 1.1838 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
91
+ | 0.0878 | 21.25 | 340 | 1.3183 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
92
+ | 0.1061 | 21.88 | 350 | 1.3650 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
93
+ | 0.1002 | 22.5 | 360 | 1.3588 | 0.7742 | 0.7607 | 0.7431 | 0.7926 |
94
+ | 0.1241 | 23.12 | 370 | 1.3529 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
95
+ | 0.1201 | 23.75 | 380 | 1.3213 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
96
+ | 0.084 | 24.38 | 390 | 1.3139 | 0.7419 | 0.7487 | 0.7361 | 0.7704 |
97
+ | 0.0988 | 25.0 | 400 | 1.3140 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
98
+ | 0.1049 | 25.62 | 410 | 1.3251 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
99
+ | 0.1168 | 26.25 | 420 | 1.3551 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
100
+ | 0.0931 | 26.88 | 430 | 1.3606 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
101
+ | 0.0872 | 27.5 | 440 | 1.3645 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
102
+ | 0.0942 | 28.12 | 450 | 1.3630 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
103
+ | 0.0941 | 28.75 | 460 | 1.3679 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
104
+ | 0.07 | 29.38 | 470 | 1.3761 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
105
+ | 0.112 | 30.0 | 480 | 1.3795 | 0.7581 | 0.7549 | 0.7397 | 0.7815 |
106
+
107
+
108
+ ### Framework versions
109
+
110
+ - Transformers 4.38.2
111
+ - Pytorch 2.1.2
112
+ - Datasets 2.1.0
113
+ - Tokenizers 0.15.2
config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-large-uncased",
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": "SBC",
14
+ "1": "Compensation",
15
+ "2": "Terminate",
16
+ "3": "Install",
17
+ "4": "Change",
18
+ "5": "SBC/Plan Doc"
19
+ },
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 4096,
22
+ "label2id": {
23
+ "Change": 4,
24
+ "Compensation": 1,
25
+ "Install": 3,
26
+ "SBC": 0,
27
+ "SBC/Plan Doc": 5,
28
+ "Terminate": 2
29
+ },
30
+ "layer_norm_eps": 1e-12,
31
+ "max_position_embeddings": 512,
32
+ "model_type": "bert",
33
+ "num_attention_heads": 16,
34
+ "num_hidden_layers": 24,
35
+ "pad_token_id": 0,
36
+ "position_embedding_type": "absolute",
37
+ "problem_type": "single_label_classification",
38
+ "torch_dtype": "float32",
39
+ "transformers_version": "4.38.2",
40
+ "type_vocab_size": 2,
41
+ "use_cache": true,
42
+ "vocab_size": 30522
43
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eda7aca76e3bfa18773073b144fc0d039ee82d83440f7122c496933f75beea24
3
+ size 1340639160
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91eefafdcaf51f1b86a6cd2a1ecea460e500b817ac0bf2a443888ea2cf2fa07e
3
+ size 4920