younoger commited on
Commit
034c767
1 Parent(s): 049d35f

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - text-classification
6
+ widget:
7
+ - text: "I love AutoTrain"
8
+ datasets:
9
+ - younoger/autotrain-data-YGBNumbersBert-0.2
10
+ ---
11
+
12
+ # Model Trained Using AutoTrain
13
+
14
+ - Problem type: Text Classification
15
+
16
+ ## Validation Metrics
17
+ loss: 0.013029049150645733
18
+
19
+ f1: 0.9189189189189189
20
+
21
+ precision: 1.0
22
+
23
+ recall: 0.85
24
+
25
+ auc: 0.9999006951340615
26
+
27
+ accuracy: 0.997078870496592
checkpoint-129/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-german-cased",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": 0,
14
+ "1": 1
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "0": 0,
20
+ "1": 1
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "max_position_embeddings": 512,
24
+ "model_type": "bert",
25
+ "num_attention_heads": 12,
26
+ "num_hidden_layers": 12,
27
+ "pad_token_id": 0,
28
+ "position_embedding_type": "absolute",
29
+ "problem_type": "single_label_classification",
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.36.1",
32
+ "type_vocab_size": 2,
33
+ "use_cache": true,
34
+ "vocab_size": 30000
35
+ }
checkpoint-129/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abf470fefd8ff369ce8cc42f26ca049fb7d39a52f1066b1eaaf4f924f9efecfa
3
+ size 436355056
checkpoint-129/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3464a0d873fff361ba568b492580dfe30257378e8a669a0aa14f8e8550fdaf9d
3
+ size 872831226
checkpoint-129/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:659fa9e92e3b53a47f211752af19a7130380d6299e56e19c42fe43d67dfe3ca6
3
+ size 14244
checkpoint-129/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2d494ba9e951f972055e7f20a6c8f62516c7686382c4751b83701a981086f1a
3
+ size 1064
checkpoint-129/trainer_state.json ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.013029049150645733,
3
+ "best_model_checkpoint": "/tmp/model/checkpoint-129",
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 129,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05,
13
+ "learning_rate": 3.846153846153847e-06,
14
+ "loss": 0.9819,
15
+ "step": 6
16
+ },
17
+ {
18
+ "epoch": 0.09,
19
+ "learning_rate": 8.461538461538462e-06,
20
+ "loss": 0.6736,
21
+ "step": 12
22
+ },
23
+ {
24
+ "epoch": 0.14,
25
+ "learning_rate": 1.3076923076923078e-05,
26
+ "loss": 0.2587,
27
+ "step": 18
28
+ },
29
+ {
30
+ "epoch": 0.19,
31
+ "learning_rate": 1.7692307692307694e-05,
32
+ "loss": 0.142,
33
+ "step": 24
34
+ },
35
+ {
36
+ "epoch": 0.23,
37
+ "learning_rate": 2.230769230769231e-05,
38
+ "loss": 0.0517,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 0.28,
43
+ "learning_rate": 2.6923076923076923e-05,
44
+ "loss": 0.0392,
45
+ "step": 36
46
+ },
47
+ {
48
+ "epoch": 0.33,
49
+ "learning_rate": 3.153846153846154e-05,
50
+ "loss": 0.0163,
51
+ "step": 42
52
+ },
53
+ {
54
+ "epoch": 0.37,
55
+ "learning_rate": 3.615384615384615e-05,
56
+ "loss": 0.0066,
57
+ "step": 48
58
+ },
59
+ {
60
+ "epoch": 0.42,
61
+ "learning_rate": 4.0769230769230773e-05,
62
+ "loss": 0.0519,
63
+ "step": 54
64
+ },
65
+ {
66
+ "epoch": 0.47,
67
+ "learning_rate": 4.538461538461539e-05,
68
+ "loss": 0.0352,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 0.51,
73
+ "learning_rate": 5e-05,
74
+ "loss": 0.0083,
75
+ "step": 66
76
+ },
77
+ {
78
+ "epoch": 0.56,
79
+ "learning_rate": 4.9482758620689655e-05,
80
+ "loss": 0.0026,
81
+ "step": 72
82
+ },
83
+ {
84
+ "epoch": 0.6,
85
+ "learning_rate": 4.896551724137931e-05,
86
+ "loss": 0.0058,
87
+ "step": 78
88
+ },
89
+ {
90
+ "epoch": 0.65,
91
+ "learning_rate": 4.844827586206897e-05,
92
+ "loss": 0.0237,
93
+ "step": 84
94
+ },
95
+ {
96
+ "epoch": 0.7,
97
+ "learning_rate": 4.793103448275863e-05,
98
+ "loss": 0.0004,
99
+ "step": 90
100
+ },
101
+ {
102
+ "epoch": 0.74,
103
+ "learning_rate": 4.741379310344828e-05,
104
+ "loss": 0.0015,
105
+ "step": 96
106
+ },
107
+ {
108
+ "epoch": 0.79,
109
+ "learning_rate": 4.689655172413793e-05,
110
+ "loss": 0.0003,
111
+ "step": 102
112
+ },
113
+ {
114
+ "epoch": 0.84,
115
+ "learning_rate": 4.6379310344827586e-05,
116
+ "loss": 0.0052,
117
+ "step": 108
118
+ },
119
+ {
120
+ "epoch": 0.88,
121
+ "learning_rate": 4.586206896551724e-05,
122
+ "loss": 0.0003,
123
+ "step": 114
124
+ },
125
+ {
126
+ "epoch": 0.93,
127
+ "learning_rate": 4.53448275862069e-05,
128
+ "loss": 0.0002,
129
+ "step": 120
130
+ },
131
+ {
132
+ "epoch": 0.98,
133
+ "learning_rate": 4.482758620689655e-05,
134
+ "loss": 0.0002,
135
+ "step": 126
136
+ },
137
+ {
138
+ "epoch": 1.0,
139
+ "eval_accuracy": 0.997078870496592,
140
+ "eval_auc": 0.9999006951340615,
141
+ "eval_f1": 0.9189189189189189,
142
+ "eval_loss": 0.013029049150645733,
143
+ "eval_precision": 1.0,
144
+ "eval_recall": 0.85,
145
+ "eval_runtime": 5.2869,
146
+ "eval_samples_per_second": 194.255,
147
+ "eval_steps_per_second": 3.216,
148
+ "step": 129
149
+ }
150
+ ],
151
+ "logging_steps": 6,
152
+ "max_steps": 645,
153
+ "num_input_tokens_seen": 0,
154
+ "num_train_epochs": 5,
155
+ "save_steps": 500,
156
+ "total_flos": 1080070882252800.0,
157
+ "train_batch_size": 32,
158
+ "trial_name": null,
159
+ "trial_params": null
160
+ }
checkpoint-129/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f485a872841c7b243d8554cb216c5aed14d00f8f75b4714a7ca740475d96759
3
+ size 4728
config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-german-cased",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": 0,
14
+ "1": 1
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "0": 0,
20
+ "1": 1
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "max_position_embeddings": 512,
24
+ "model_type": "bert",
25
+ "num_attention_heads": 12,
26
+ "num_hidden_layers": 12,
27
+ "pad_token_id": 0,
28
+ "position_embedding_type": "absolute",
29
+ "problem_type": "single_label_classification",
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.36.1",
32
+ "type_vocab_size": 2,
33
+ "use_cache": true,
34
+ "vocab_size": 30000
35
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abf470fefd8ff369ce8cc42f26ca049fb7d39a52f1066b1eaaf4f924f9efecfa
3
+ size 436355056
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
+ "2": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "3": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "4": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "5": {
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": false,
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 sha256:2f485a872841c7b243d8554cb216c5aed14d00f8f75b4714a7ca740475d96759
3
+ size 4728
training_params.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "younoger/autotrain-data-YGBNumbersBert-0.2",
3
+ "model": "bert-base-german-cased",
4
+ "lr": 5e-05,
5
+ "epochs": 5,
6
+ "max_seq_length": 512,
7
+ "batch_size": 32,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "text_column": "autotrain_text",
18
+ "target_column": "autotrain_label",
19
+ "logging_steps": -1,
20
+ "project_name": "/tmp/model",
21
+ "auto_find_batch_size": false,
22
+ "mixed_precision": "fp16",
23
+ "save_total_limit": 1,
24
+ "save_strategy": "epoch",
25
+ "push_to_hub": true,
26
+ "repo_id": "younoger/YGBNumbersBert-0.2",
27
+ "evaluation_strategy": "epoch",
28
+ "username": "younoger",
29
+ "log": "none"
30
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff