dannashao commited on
Commit
8b0c8a9
1 Parent(s): d9e4e0a

End of training

Browse files
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: bert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - precision
8
+ - recall
9
+ - f1
10
+ - accuracy
11
+ model-index:
12
+ - name: bert-base-uncased-finetuned-advanced-srl_arg
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
+ # bert-base-uncased-finetuned-advanced-srl_arg
20
+
21
+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.0914
24
+ - Precision: 0.8664
25
+ - Recall: 0.8673
26
+ - F1: 0.8669
27
+ - Accuracy: 0.9812
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: 3
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | 0.0457 | 1.0 | 2655 | 0.0849 | 0.8447 | 0.8644 | 0.8544 | 0.9792 |
59
+ | 0.0322 | 2.0 | 5310 | 0.0883 | 0.8586 | 0.8679 | 0.8632 | 0.9806 |
60
+ | 0.0234 | 3.0 | 7965 | 0.0914 | 0.8664 | 0.8673 | 0.8669 | 0.9812 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.37.0
66
+ - Pytorch 2.0.1+cu117
67
+ - Datasets 2.16.1
68
+ - Tokenizers 0.15.1
config.json ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "architectures": [
4
+ "BertForTokenClassification"
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": 768,
12
+ "id2label": {
13
+ "0": "ARG0",
14
+ "1": "ARG1",
15
+ "2": "ARG1-DSP",
16
+ "3": "ARG2",
17
+ "4": "ARG3",
18
+ "5": "ARG4",
19
+ "6": "ARG5",
20
+ "7": "ARGA",
21
+ "8": "ARGM-ADJ",
22
+ "9": "ARGM-ADV",
23
+ "10": "ARGM-CAU",
24
+ "11": "ARGM-COM",
25
+ "12": "ARGM-CXN",
26
+ "13": "ARGM-DIR",
27
+ "14": "ARGM-DIS",
28
+ "15": "ARGM-EXT",
29
+ "16": "ARGM-GOL",
30
+ "17": "ARGM-LOC",
31
+ "18": "ARGM-LVB",
32
+ "19": "ARGM-MNR",
33
+ "20": "ARGM-MOD",
34
+ "21": "ARGM-NEG",
35
+ "22": "ARGM-PRD",
36
+ "23": "ARGM-PRP",
37
+ "24": "ARGM-PRR",
38
+ "25": "ARGM-REC",
39
+ "26": "ARGM-TMP",
40
+ "27": "C-ARG0",
41
+ "28": "C-ARG1",
42
+ "29": "C-ARG1-DSP",
43
+ "30": "C-ARG2",
44
+ "31": "C-ARG3",
45
+ "32": "C-ARG4",
46
+ "33": "C-ARGM-ADV",
47
+ "34": "C-ARGM-COM",
48
+ "35": "C-ARGM-CXN",
49
+ "36": "C-ARGM-DIR",
50
+ "37": "C-ARGM-EXT",
51
+ "38": "C-ARGM-GOL",
52
+ "39": "C-ARGM-LOC",
53
+ "40": "C-ARGM-MNR",
54
+ "41": "C-ARGM-PRP",
55
+ "42": "C-ARGM-PRR",
56
+ "43": "C-ARGM-TMP",
57
+ "44": "C-V",
58
+ "45": "R-ARG0",
59
+ "46": "R-ARG1",
60
+ "47": "R-ARG2",
61
+ "48": "R-ARG3",
62
+ "49": "R-ARG4",
63
+ "50": "R-ARGM-ADJ",
64
+ "51": "R-ARGM-ADV",
65
+ "52": "R-ARGM-CAU",
66
+ "53": "R-ARGM-COM",
67
+ "54": "R-ARGM-DIR",
68
+ "55": "R-ARGM-GOL",
69
+ "56": "R-ARGM-LOC",
70
+ "57": "R-ARGM-MNR",
71
+ "58": "R-ARGM-TMP",
72
+ "59": "_"
73
+ },
74
+ "initializer_range": 0.02,
75
+ "intermediate_size": 3072,
76
+ "label2id": {
77
+ "ARG0": 0,
78
+ "ARG1": 1,
79
+ "ARG1-DSP": 2,
80
+ "ARG2": 3,
81
+ "ARG3": 4,
82
+ "ARG4": 5,
83
+ "ARG5": 6,
84
+ "ARGA": 7,
85
+ "ARGM-ADJ": 8,
86
+ "ARGM-ADV": 9,
87
+ "ARGM-CAU": 10,
88
+ "ARGM-COM": 11,
89
+ "ARGM-CXN": 12,
90
+ "ARGM-DIR": 13,
91
+ "ARGM-DIS": 14,
92
+ "ARGM-EXT": 15,
93
+ "ARGM-GOL": 16,
94
+ "ARGM-LOC": 17,
95
+ "ARGM-LVB": 18,
96
+ "ARGM-MNR": 19,
97
+ "ARGM-MOD": 20,
98
+ "ARGM-NEG": 21,
99
+ "ARGM-PRD": 22,
100
+ "ARGM-PRP": 23,
101
+ "ARGM-PRR": 24,
102
+ "ARGM-REC": 25,
103
+ "ARGM-TMP": 26,
104
+ "C-ARG0": 27,
105
+ "C-ARG1": 28,
106
+ "C-ARG1-DSP": 29,
107
+ "C-ARG2": 30,
108
+ "C-ARG3": 31,
109
+ "C-ARG4": 32,
110
+ "C-ARGM-ADV": 33,
111
+ "C-ARGM-COM": 34,
112
+ "C-ARGM-CXN": 35,
113
+ "C-ARGM-DIR": 36,
114
+ "C-ARGM-EXT": 37,
115
+ "C-ARGM-GOL": 38,
116
+ "C-ARGM-LOC": 39,
117
+ "C-ARGM-MNR": 40,
118
+ "C-ARGM-PRP": 41,
119
+ "C-ARGM-PRR": 42,
120
+ "C-ARGM-TMP": 43,
121
+ "C-V": 44,
122
+ "R-ARG0": 45,
123
+ "R-ARG1": 46,
124
+ "R-ARG2": 47,
125
+ "R-ARG3": 48,
126
+ "R-ARG4": 49,
127
+ "R-ARGM-ADJ": 50,
128
+ "R-ARGM-ADV": 51,
129
+ "R-ARGM-CAU": 52,
130
+ "R-ARGM-COM": 53,
131
+ "R-ARGM-DIR": 54,
132
+ "R-ARGM-GOL": 55,
133
+ "R-ARGM-LOC": 56,
134
+ "R-ARGM-MNR": 57,
135
+ "R-ARGM-TMP": 58,
136
+ "_": 59
137
+ },
138
+ "layer_norm_eps": 1e-12,
139
+ "max_position_embeddings": 512,
140
+ "model_type": "bert",
141
+ "num_attention_heads": 12,
142
+ "num_hidden_layers": 12,
143
+ "pad_token_id": 0,
144
+ "position_embedding_type": "absolute",
145
+ "torch_dtype": "float32",
146
+ "transformers_version": "4.37.0",
147
+ "type_vocab_size": 2,
148
+ "use_cache": true,
149
+ "vocab_size": 30522
150
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c10ef017207aca43e0fe461a8e59c747ef6de25a71c5d7488374e04541673959
3
+ size 435774496
runs/Mar28_14-38-14_arimo-ThinkBook-14-G5-IRH/events.out.tfevents.1711633096.arimo-ThinkBook-14-G5-IRH.35878.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4074ccfb0b4f4d5b72900301f17291282ca929c209a4559d5d9a528ea086087
3
+ size 11067
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": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:387b7a48c50a8d0ae28469f492bb538d73e39ba4df76df873f43ae56ee9e9dd9
3
+ size 4347
vocab.txt ADDED
The diff for this file is too large to render. See raw diff