Hugging Face's logo

senthil2002
/
distilbert_finetune_own_data_model

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
senthil2002 commited on
Commit
25474af
•
1 Parent(s): de1f0b4

End of training

Browse files
Files changed (11) hide show
  1. README.md +115 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181624.d924af8323c8.517.2 +3 -0
  5. runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181667.d924af8323c8.517.3 +3 -0
  6. runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181717.d924af8323c8.517.4 +3 -0
  7. special_tokens_map.json +7 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +55 -0
  10. training_args.bin +3 -0
  11. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - precision
8
+ - recall
9
+ - f1
10
+ - accuracy
11
+ model-index:
12
+ - name: distilbert_finetune_own_data_model
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
+ # distilbert_finetune_own_data_model
20
+
21
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.9434
24
+ - Precision: 0.0
25
+ - Recall: 0.0
26
+ - F1: 0.0
27
+ - Accuracy: 0.8333
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: 16
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - num_epochs: 50
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
58
+ | No log | 1.0 | 1 | 0.8480 | 0.0 | 0.0 | 0.0 | 0.8333 |
59
+ | No log | 2.0 | 2 | 0.8506 | 0.0 | 0.0 | 0.0 | 0.8333 |
60
+ | No log | 3.0 | 3 | 0.8527 | 0.0 | 0.0 | 0.0 | 0.8333 |
61
+ | No log | 4.0 | 4 | 0.8546 | 0.0 | 0.0 | 0.0 | 0.8333 |
62
+ | No log | 5.0 | 5 | 0.8564 | 0.0 | 0.0 | 0.0 | 0.8333 |
63
+ | No log | 6.0 | 6 | 0.8577 | 0.0 | 0.0 | 0.0 | 0.8333 |
64
+ | No log | 7.0 | 7 | 0.8604 | 0.0 | 0.0 | 0.0 | 0.8333 |
65
+ | No log | 8.0 | 8 | 0.8609 | 0.0 | 0.0 | 0.0 | 0.8333 |
66
+ | No log | 9.0 | 9 | 0.8604 | 0.0 | 0.0 | 0.0 | 0.8333 |
67
+ | No log | 10.0 | 10 | 0.8607 | 0.0 | 0.0 | 0.0 | 0.8333 |
68
+ | No log | 11.0 | 11 | 0.8608 | 0.0 | 0.0 | 0.0 | 0.8333 |
69
+ | No log | 12.0 | 12 | 0.8619 | 0.0 | 0.0 | 0.0 | 0.8333 |
70
+ | No log | 13.0 | 13 | 0.8629 | 0.0 | 0.0 | 0.0 | 0.8333 |
71
+ | No log | 14.0 | 14 | 0.8644 | 0.0 | 0.0 | 0.0 | 0.8333 |
72
+ | No log | 15.0 | 15 | 0.8665 | 0.0 | 0.0 | 0.0 | 0.8333 |
73
+ | No log | 16.0 | 16 | 0.8686 | 0.0 | 0.0 | 0.0 | 0.8333 |
74
+ | No log | 17.0 | 17 | 0.8710 | 0.0 | 0.0 | 0.0 | 0.8333 |
75
+ | No log | 18.0 | 18 | 0.8738 | 0.0 | 0.0 | 0.0 | 0.8333 |
76
+ | No log | 19.0 | 19 | 0.8770 | 0.0 | 0.0 | 0.0 | 0.8333 |
77
+ | No log | 20.0 | 20 | 0.8802 | 0.0 | 0.0 | 0.0 | 0.8333 |
78
+ | No log | 21.0 | 21 | 0.8838 | 0.0 | 0.0 | 0.0 | 0.8333 |
79
+ | No log | 22.0 | 22 | 0.8877 | 0.0 | 0.0 | 0.0 | 0.8333 |
80
+ | No log | 23.0 | 23 | 0.8919 | 0.0 | 0.0 | 0.0 | 0.8333 |
81
+ | No log | 24.0 | 24 | 0.8958 | 0.0 | 0.0 | 0.0 | 0.8333 |
82
+ | No log | 25.0 | 25 | 0.8994 | 0.0 | 0.0 | 0.0 | 0.8333 |
83
+ | No log | 26.0 | 26 | 0.9030 | 0.0 | 0.0 | 0.0 | 0.8333 |
84
+ | No log | 27.0 | 27 | 0.9063 | 0.0 | 0.0 | 0.0 | 0.8333 |
85
+ | No log | 28.0 | 28 | 0.9094 | 0.0 | 0.0 | 0.0 | 0.8333 |
86
+ | No log | 29.0 | 29 | 0.9120 | 0.0 | 0.0 | 0.0 | 0.8333 |
87
+ | No log | 30.0 | 30 | 0.9147 | 0.0 | 0.0 | 0.0 | 0.8333 |
88
+ | No log | 31.0 | 31 | 0.9174 | 0.0 | 0.0 | 0.0 | 0.8333 |
89
+ | No log | 32.0 | 32 | 0.9198 | 0.0 | 0.0 | 0.0 | 0.8333 |
90
+ | No log | 33.0 | 33 | 0.9220 | 0.0 | 0.0 | 0.0 | 0.8333 |
91
+ | No log | 34.0 | 34 | 0.9241 | 0.0 | 0.0 | 0.0 | 0.8333 |
92
+ | No log | 35.0 | 35 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.8333 |
93
+ | No log | 36.0 | 36 | 0.9279 | 0.0 | 0.0 | 0.0 | 0.8333 |
94
+ | No log | 37.0 | 37 | 0.9297 | 0.0 | 0.0 | 0.0 | 0.8333 |
95
+ | No log | 38.0 | 38 | 0.9317 | 0.0 | 0.0 | 0.0 | 0.8333 |
96
+ | No log | 39.0 | 39 | 0.9336 | 0.0 | 0.0 | 0.0 | 0.8333 |
97
+ | No log | 40.0 | 40 | 0.9353 | 0.0 | 0.0 | 0.0 | 0.8333 |
98
+ | No log | 41.0 | 41 | 0.9368 | 0.0 | 0.0 | 0.0 | 0.8333 |
99
+ | No log | 42.0 | 42 | 0.9382 | 0.0 | 0.0 | 0.0 | 0.8333 |
100
+ | No log | 43.0 | 43 | 0.9393 | 0.0 | 0.0 | 0.0 | 0.8333 |
101
+ | No log | 44.0 | 44 | 0.9403 | 0.0 | 0.0 | 0.0 | 0.8333 |
102
+ | No log | 45.0 | 45 | 0.9413 | 0.0 | 0.0 | 0.0 | 0.8333 |
103
+ | No log | 46.0 | 46 | 0.9420 | 0.0 | 0.0 | 0.0 | 0.8333 |
104
+ | No log | 47.0 | 47 | 0.9426 | 0.0 | 0.0 | 0.0 | 0.8333 |
105
+ | No log | 48.0 | 48 | 0.9430 | 0.0 | 0.0 | 0.0 | 0.8333 |
106
+ | No log | 49.0 | 49 | 0.9432 | 0.0 | 0.0 | 0.0 | 0.8333 |
107
+ | No log | 50.0 | 50 | 0.9434 | 0.0 | 0.0 | 0.0 | 0.8333 |
108
+
109
+
110
+ ### Framework versions
111
+
112
+ - Transformers 4.38.1
113
+ - Pytorch 2.1.0+cu121
114
+ - Datasets 2.17.1
115
+ - Tokenizers 0.15.2
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "distilbert-base-uncased",
3
+ "activation": "gelu",
4
+ "architectures": [
5
+ "DistilBertForTokenClassification"
6
+ ],
7
+ "attention_dropout": 0.1,
8
+ "dim": 768,
9
+ "dropout": 0.1,
10
+ "hidden_dim": 3072,
11
+ "id2label": {
12
+ "0": "O",
13
+ "1": "CLASS"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "label2id": {
17
+ "CLASS": 1,
18
+ "O": 0
19
+ },
20
+ "max_position_embeddings": 512,
21
+ "model_type": "distilbert",
22
+ "n_heads": 12,
23
+ "n_layers": 6,
24
+ "pad_token_id": 0,
25
+ "qa_dropout": 0.1,
26
+ "seq_classif_dropout": 0.2,
27
+ "sinusoidal_pos_embds": false,
28
+ "tie_weights_": true,
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.38.1",
31
+ "vocab_size": 30522
32
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7ad626ecaa20293dd798df0189082ae02d15be8cc634d401f5e863fd1342c4a
3
+ size 265470008
runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181624.d924af8323c8.517.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10789c06c76132264784fb77069b382aeef4df379892576d2d514b5029f7a264
3
+ size 28096
runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181667.d924af8323c8.517.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27569d39279f9a826babf52f81f56247b7f38bea941115dd33157602e4e3ba2b
3
+ size 28559
runs/Feb29_04-40-03_d924af8323c8/events.out.tfevents.1709181717.d924af8323c8.517.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e32dbf9cbc9eb184c996cc2c5b5c0fa28508d7af929628f4b6f51ac421d1bf06
3
+ size 551
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 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "model_max_length": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "DistilBertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a23746a6c204d21f9453840c10cbe16fd1c0b85340ce9e79304efd20545c3226
3
+ size 4920
vocab.txt ADDED
The diff for this file is too large to render. See raw diff