i-be-snek commited on
Commit
59f10fd
1 Parent(s): db70fba

Training in progress epoch 0

Browse files
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_keras_callback
6
+ model-index:
7
+ - name: i-be-snek/distilbert-base-uncased-finetuned-ner-exp_A
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
12
+ probably proofread and complete it, then remove this comment. -->
13
+
14
+ # i-be-snek/distilbert-base-uncased-finetuned-ner-exp_A
15
+
16
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Train Loss: 0.0769
19
+ - Validation Loss: 0.0717
20
+ - Train Precision: 0.8796
21
+ - Train Recall: 0.8706
22
+ - Train F1: 0.8750
23
+ - Train Accuracy: 0.9744
24
+ - Epoch: 0
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
+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
44
+ - training_precision: float32
45
+
46
+ ### Training results
47
+
48
+ | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
49
+ |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
50
+ | 0.0769 | 0.0717 | 0.8796 | 0.8706 | 0.8750 | 0.9744 | 0 |
51
+
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.35.2
56
+ - TensorFlow 2.14.0
57
+ - Datasets 2.15.0
58
+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "B-PER",
14
+ "2": "I-PER",
15
+ "3": "B-ORG",
16
+ "4": "I-ORG",
17
+ "5": "B-LOC",
18
+ "6": "I-LOC",
19
+ "7": "B-ANIM",
20
+ "8": "I-ANIM",
21
+ "9": "B-BIO",
22
+ "10": "I-BIO",
23
+ "11": "B-CEL",
24
+ "12": "I-CEL",
25
+ "13": "B-DIS",
26
+ "14": "I-DIS",
27
+ "15": "B-EVE",
28
+ "16": "I-EVE",
29
+ "17": "B-FOOD",
30
+ "18": "I-FOOD",
31
+ "19": "B-INST",
32
+ "20": "I-INST",
33
+ "21": "B-MEDIA",
34
+ "22": "I-MEDIA",
35
+ "23": "B-MYTH",
36
+ "24": "I-MYTH",
37
+ "25": "B-PLANT",
38
+ "26": "I-PLANT",
39
+ "27": "B-TIME",
40
+ "28": "I-TIME",
41
+ "29": "B-VEHI",
42
+ "30": "I-VEHI"
43
+ },
44
+ "initializer_range": 0.02,
45
+ "label2id": {
46
+ "B-ANIM": 7,
47
+ "B-BIO": 9,
48
+ "B-CEL": 11,
49
+ "B-DIS": 13,
50
+ "B-EVE": 15,
51
+ "B-FOOD": 17,
52
+ "B-INST": 19,
53
+ "B-LOC": 5,
54
+ "B-MEDIA": 21,
55
+ "B-MYTH": 23,
56
+ "B-ORG": 3,
57
+ "B-PER": 1,
58
+ "B-PLANT": 25,
59
+ "B-TIME": 27,
60
+ "B-VEHI": 29,
61
+ "I-ANIM": 8,
62
+ "I-BIO": 10,
63
+ "I-CEL": 12,
64
+ "I-DIS": 14,
65
+ "I-EVE": 16,
66
+ "I-FOOD": 18,
67
+ "I-INST": 20,
68
+ "I-LOC": 6,
69
+ "I-MEDIA": 22,
70
+ "I-MYTH": 24,
71
+ "I-ORG": 4,
72
+ "I-PER": 2,
73
+ "I-PLANT": 26,
74
+ "I-TIME": 28,
75
+ "I-VEHI": 30,
76
+ "O": 0
77
+ },
78
+ "max_position_embeddings": 512,
79
+ "model_type": "distilbert",
80
+ "n_heads": 12,
81
+ "n_layers": 6,
82
+ "pad_token_id": 0,
83
+ "qa_dropout": 0.1,
84
+ "seq_classif_dropout": 0.2,
85
+ "sinusoidal_pos_embds": false,
86
+ "tie_weights_": true,
87
+ "transformers_version": "4.35.2",
88
+ "vocab_size": 30522
89
+ }
logs/train/events.out.tfevents.1701442367.snek.4295.0.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec376fe4d8d44a302fa9e73405beb96dfcc100ef093a11d52b4d72883f31bb6e
3
+ size 1606637
logs/validation/events.out.tfevents.1701443932.snek.4295.1.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b27a0a8afb838015294504feffdc9e4f4569eb0c8a05d894de26df530651d71
3
+ size 233
metrics_by_entity.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"ANIM": {"precision": 0.7179719330013581, "recall": 0.7030141843971631, "f1": 0.7104143337066069, "number": "4512"}, "BIO": {"precision": 0.4186046511627907, "recall": 0.782608695652174, "f1": 0.5454545454545454, "number": "92"}, "CEL": {"precision": 0.8632478632478633, "recall": 0.8347107438016529, "f1": 0.8487394957983193, "number": "242"}, "DIS": {"precision": 0.7223607647547797, "recall": 0.7167995600769865, "f1": 0.7195694176097158, "number": "7274"}, "EVE": {"precision": 0.9050445103857567, "recall": 0.8815028901734104, "f1": 0.8931185944363104, "number": "692"}, "FOOD": {"precision": 0.6604984894259819, "recall": 0.5081348053457292, "f1": 0.5743842364532019, "number": "6884"}, "INST": {"precision": 0.7647058823529411, "recall": 0.6724137931034483, "f1": 0.7155963302752292, "number": "116"}, "LOC": {"precision": 0.9668465019143753, "recall": 0.9695462478184991, "f1": 0.9681944928546532, "number": "22920"}, "MEDIA": {"precision": 0.9396396396396396, "recall": 0.9362657091561939, "f1": 0.9379496402877698, "number": "2228"}, "MYTH": {"precision": 0.8831168831168831, "recall": 0.6476190476190476, "f1": 0.7472527472527473, "number": "210"}, "ORG": {"precision": 0.9344133786255553, "recall": 0.9254658385093167, "f1": 0.9299180860746327, "number": "7728"}, "PER": {"precision": 0.9824064711830132, "recall": 0.9914285714285714, "f1": 0.9868969019807008, "number": "19600"}, "PLANT": {"precision": 0.6186696900982616, "recall": 0.7275555555555555, "f1": 0.6687091503267973, "number": "4500"}, "TIME": {"precision": 0.7660098522167488, "recall": 0.7530266343825666, "f1": 0.7594627594627594, "number": "826"}, "VEHI": {"precision": 0.7655172413793103, "recall": 0.7985611510791367, "f1": 0.7816901408450705, "number": "278"}, "overall_precision": 0.8795860284605433, "overall_recall": 0.8705538910655297, "overall_f1": 0.8750466531962267, "overall_accuracy": 0.9744046905128749}
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
+ }
tf_model.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b45963a385a74900c21c7d5cd322a75418d69ea9968eb154e4beebefd29d5de8
3
+ size 265674000
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
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff