chgrdj commited on
Commit
d9c0423
·
verified ·
1 Parent(s): dda346e

Upload 12 files

Browse files
Embedder-typosquat-detect-Canine/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Embedder-typosquat-detect-Canine/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
3
+ "pooling_mode_cls_token": true,
4
+ "pooling_mode_mean_tokens": false,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false,
7
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false,
9
+ "include_prompt": true
10
+ }
Embedder-typosquat-detect-Canine/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/canine-c",
3
+ "architectures": [
4
+ "CanineModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 57344,
8
+ "downsampling_rate": 4,
9
+ "eos_token_id": 57345,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-12,
16
+ "local_transformer_stride": 128,
17
+ "max_position_embeddings": 16384,
18
+ "model_type": "canine",
19
+ "num_attention_heads": 12,
20
+ "num_hash_buckets": 16384,
21
+ "num_hash_functions": 8,
22
+ "num_hidden_layers": 12,
23
+ "pad_token_id": 0,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.45.2",
26
+ "type_vocab_size": 16,
27
+ "upsampling_kernel_size": 4,
28
+ "use_cache": true
29
+ }
Embedder-typosquat-detect-Canine/config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.2.0",
4
+ "transformers": "4.45.2",
5
+ "pytorch": "2.2.2"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
Embedder-typosquat-detect-Canine/domains_embs.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fe1682f9300832ff31b27e7c121263a3a8eec8b006048b18b4cf3680f2346db
3
+ size 66211327
Embedder-typosquat-detect-Canine/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f3b8ae38bed7379c27c07765d9f30de0969bca90f8570c014d84dfa035bf183
3
+ size 528359880
Embedder-typosquat-detect-Canine/modules.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ },
14
+ {
15
+ "idx": 2,
16
+ "name": "2",
17
+ "path": "2_Normalize",
18
+ "type": "sentence_transformers.models.Normalize"
19
+ }
20
+ ]
Embedder-typosquat-detect-Canine/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 2048,
3
+ "do_lower_case": false
4
+ }
Embedder-typosquat-detect-Canine/special_tokens_map.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "\u0000",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ }
44
+ }
Embedder-typosquat-detect-Canine/tokenizer_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "\u0000",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "57344": {
13
+ "content": "",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "57345": {
21
+ "content": "",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "57347": {
29
+ "content": "",
30
+ "lstrip": true,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ }
36
+ },
37
+ "bos_token": "",
38
+ "clean_up_tokenization_spaces": false,
39
+ "cls_token": "",
40
+ "eos_token": "",
41
+ "mask_token": "",
42
+ "model_max_length": 2048,
43
+ "pad_token": "\u0000",
44
+ "sep_token": "",
45
+ "tokenizer_class": "CanineTokenizer"
46
+ }
Embedder-typosquat-detect-Canine/trainer_state.json ADDED
@@ -0,0 +1,546 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9306620270961232,
3
+ "best_model_checkpoint": "models/google-canine-c-typosquat-v3.1-mnrl/checkpoint-868",
4
+ "epoch": 1.2385861561119293,
5
+ "eval_steps": 62,
6
+ "global_step": 868,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09131075110456553,
13
+ "grad_norm": 5.324620723724365,
14
+ "learning_rate": 3e-05,
15
+ "loss": 1.219,
16
+ "step": 62
17
+ },
18
+ {
19
+ "epoch": 0.09131075110456553,
20
+ "eval_info_retr_eval_dot_accuracy@1": 0.9574487639003768,
21
+ "eval_info_retr_eval_dot_accuracy@10": 0.994026284348865,
22
+ "eval_info_retr_eval_dot_accuracy@3": 0.9816193364580461,
23
+ "eval_info_retr_eval_dot_accuracy@5": 0.9881444720154398,
24
+ "eval_info_retr_eval_dot_map@100": 0.9710061189570759,
25
+ "eval_info_retr_eval_dot_mrr@10": 0.970718399481841,
26
+ "eval_info_retr_eval_dot_ndcg@10": 0.9764345312554475,
27
+ "eval_info_retr_eval_dot_precision@1": 0.9574487639003768,
28
+ "eval_info_retr_eval_dot_precision@10": 0.09940262843488651,
29
+ "eval_info_retr_eval_dot_precision@3": 0.32720644548601535,
30
+ "eval_info_retr_eval_dot_precision@5": 0.197628894403088,
31
+ "eval_info_retr_eval_dot_recall@1": 0.9574487639003768,
32
+ "eval_info_retr_eval_dot_recall@10": 0.994026284348865,
33
+ "eval_info_retr_eval_dot_recall@3": 0.9816193364580461,
34
+ "eval_info_retr_eval_dot_recall@5": 0.9881444720154398,
35
+ "eval_loss": 0.11100412905216217,
36
+ "eval_para_mine_eval_average_precision": 0.7672056895535211,
37
+ "eval_para_mine_eval_f1": 0.7847944762520686,
38
+ "eval_para_mine_eval_precision": 0.8285314095516364,
39
+ "eval_para_mine_eval_recall": 0.7454436228787721,
40
+ "eval_para_mine_eval_threshold": 0.7348841428756714,
41
+ "eval_runtime": 44.8792,
42
+ "eval_samples_per_second": 242.451,
43
+ "eval_sequential_score": 0.9710061189570759,
44
+ "eval_steps_per_second": 1.916,
45
+ "step": 62
46
+ },
47
+ {
48
+ "epoch": 0.18262150220913106,
49
+ "grad_norm": 3.005993604660034,
50
+ "learning_rate": 4.943211151264843e-05,
51
+ "loss": 0.1012,
52
+ "step": 124
53
+ },
54
+ {
55
+ "epoch": 0.18262150220913106,
56
+ "eval_info_retr_eval_dot_accuracy@1": 0.9798731734215606,
57
+ "eval_info_retr_eval_dot_accuracy@10": 0.9973348037864167,
58
+ "eval_info_retr_eval_dot_accuracy@3": 0.9930153478540575,
59
+ "eval_info_retr_eval_dot_accuracy@5": 0.9957724473853506,
60
+ "eval_info_retr_eval_dot_map@100": 0.9868644025653387,
61
+ "eval_info_retr_eval_dot_mrr@10": 0.9867332819841785,
62
+ "eval_info_retr_eval_dot_ndcg@10": 0.989378667273856,
63
+ "eval_info_retr_eval_dot_precision@1": 0.9798731734215606,
64
+ "eval_info_retr_eval_dot_precision@10": 0.09973348037864167,
65
+ "eval_info_retr_eval_dot_precision@3": 0.33100511595135246,
66
+ "eval_info_retr_eval_dot_precision@5": 0.19915448947707012,
67
+ "eval_info_retr_eval_dot_recall@1": 0.9798731734215606,
68
+ "eval_info_retr_eval_dot_recall@10": 0.9973348037864167,
69
+ "eval_info_retr_eval_dot_recall@3": 0.9930153478540575,
70
+ "eval_info_retr_eval_dot_recall@5": 0.9957724473853506,
71
+ "eval_loss": 0.04060104861855507,
72
+ "eval_para_mine_eval_average_precision": 0.8585605463078829,
73
+ "eval_para_mine_eval_f1": 0.8537043823665016,
74
+ "eval_para_mine_eval_precision": 0.8957241803604032,
75
+ "eval_para_mine_eval_recall": 0.8154503529921904,
76
+ "eval_para_mine_eval_threshold": 0.6834436357021332,
77
+ "eval_runtime": 44.147,
78
+ "eval_samples_per_second": 246.472,
79
+ "eval_sequential_score": 0.9868644025653387,
80
+ "eval_steps_per_second": 1.948,
81
+ "step": 124
82
+ },
83
+ {
84
+ "epoch": 0.27393225331369664,
85
+ "grad_norm": 0.6856785416603088,
86
+ "learning_rate": 4.783169850283944e-05,
87
+ "loss": 0.0693,
88
+ "step": 186
89
+ },
90
+ {
91
+ "epoch": 0.27393225331369664,
92
+ "eval_info_retr_eval_dot_accuracy@1": 0.9855711791195663,
93
+ "eval_info_retr_eval_dot_accuracy@10": 0.9988971601874828,
94
+ "eval_info_retr_eval_dot_accuracy@3": 0.9959562540207701,
95
+ "eval_info_retr_eval_dot_accuracy@5": 0.9977943203749655,
96
+ "eval_info_retr_eval_dot_map@100": 0.9910708474937577,
97
+ "eval_info_retr_eval_dot_mrr@10": 0.991004780431304,
98
+ "eval_info_retr_eval_dot_ndcg@10": 0.9929831934334958,
99
+ "eval_info_retr_eval_dot_precision@1": 0.9855711791195663,
100
+ "eval_info_retr_eval_dot_precision@10": 0.09988971601874828,
101
+ "eval_info_retr_eval_dot_precision@3": 0.3319854180069234,
102
+ "eval_info_retr_eval_dot_precision@5": 0.19955886407499313,
103
+ "eval_info_retr_eval_dot_recall@1": 0.9855711791195663,
104
+ "eval_info_retr_eval_dot_recall@10": 0.9988971601874828,
105
+ "eval_info_retr_eval_dot_recall@3": 0.9959562540207701,
106
+ "eval_info_retr_eval_dot_recall@5": 0.9977943203749655,
107
+ "eval_loss": 0.024971680715680122,
108
+ "eval_para_mine_eval_average_precision": 0.8878504879371486,
109
+ "eval_para_mine_eval_f1": 0.8765703942488466,
110
+ "eval_para_mine_eval_precision": 0.9063191861895322,
111
+ "eval_para_mine_eval_recall": 0.8487124705839841,
112
+ "eval_para_mine_eval_threshold": 0.6699230670928955,
113
+ "eval_runtime": 44.4383,
114
+ "eval_samples_per_second": 244.856,
115
+ "eval_sequential_score": 0.9910708474937577,
116
+ "eval_steps_per_second": 1.935,
117
+ "step": 186
118
+ },
119
+ {
120
+ "epoch": 0.36524300441826213,
121
+ "grad_norm": 0.5819792747497559,
122
+ "learning_rate": 4.623128549303046e-05,
123
+ "loss": 0.0424,
124
+ "step": 248
125
+ },
126
+ {
127
+ "epoch": 0.36524300441826213,
128
+ "eval_info_retr_eval_dot_accuracy@1": 0.9887877952394082,
129
+ "eval_info_retr_eval_dot_accuracy@10": 0.9994485800937414,
130
+ "eval_info_retr_eval_dot_accuracy@3": 0.9978862236926753,
131
+ "eval_info_retr_eval_dot_accuracy@5": 0.9986214502343534,
132
+ "eval_info_retr_eval_dot_map@100": 0.9933887693878125,
133
+ "eval_info_retr_eval_dot_mrr@10": 0.993345798632537,
134
+ "eval_info_retr_eval_dot_ndcg@10": 0.994887605721736,
135
+ "eval_info_retr_eval_dot_precision@1": 0.9887877952394082,
136
+ "eval_info_retr_eval_dot_precision@10": 0.09994485800937414,
137
+ "eval_info_retr_eval_dot_precision@3": 0.33262874123089176,
138
+ "eval_info_retr_eval_dot_precision@5": 0.19972429004687073,
139
+ "eval_info_retr_eval_dot_recall@1": 0.9887877952394082,
140
+ "eval_info_retr_eval_dot_recall@10": 0.9994485800937414,
141
+ "eval_info_retr_eval_dot_recall@3": 0.9978862236926753,
142
+ "eval_info_retr_eval_dot_recall@5": 0.9986214502343534,
143
+ "eval_loss": 0.01834421418607235,
144
+ "eval_para_mine_eval_average_precision": 0.8919509440660052,
145
+ "eval_para_mine_eval_f1": 0.8783150608010457,
146
+ "eval_para_mine_eval_precision": 0.8953218322315484,
147
+ "eval_para_mine_eval_recall": 0.8619423378336262,
148
+ "eval_para_mine_eval_threshold": 0.6646433770656586,
149
+ "eval_runtime": 44.2865,
150
+ "eval_samples_per_second": 245.696,
151
+ "eval_sequential_score": 0.9933887693878125,
152
+ "eval_steps_per_second": 1.942,
153
+ "step": 248
154
+ },
155
+ {
156
+ "epoch": 0.4565537555228277,
157
+ "grad_norm": 0.2500639259815216,
158
+ "learning_rate": 4.463087248322148e-05,
159
+ "loss": 0.0382,
160
+ "step": 310
161
+ },
162
+ {
163
+ "epoch": 0.4565537555228277,
164
+ "eval_info_retr_eval_dot_accuracy@1": 0.9904420549581839,
165
+ "eval_info_retr_eval_dot_accuracy@10": 0.9998161933645805,
166
+ "eval_info_retr_eval_dot_accuracy@3": 0.9982538369635143,
167
+ "eval_info_retr_eval_dot_accuracy@5": 0.998805256869773,
168
+ "eval_info_retr_eval_dot_map@100": 0.9944206662844655,
169
+ "eval_info_retr_eval_dot_mrr@10": 0.9944099442307328,
170
+ "eval_info_retr_eval_dot_ndcg@10": 0.9957667469329782,
171
+ "eval_info_retr_eval_dot_precision@1": 0.9904420549581839,
172
+ "eval_info_retr_eval_dot_precision@10": 0.09998161933645805,
173
+ "eval_info_retr_eval_dot_precision@3": 0.3327512789878381,
174
+ "eval_info_retr_eval_dot_precision@5": 0.19976105137395464,
175
+ "eval_info_retr_eval_dot_recall@1": 0.9904420549581839,
176
+ "eval_info_retr_eval_dot_recall@10": 0.9998161933645805,
177
+ "eval_info_retr_eval_dot_recall@3": 0.9982538369635143,
178
+ "eval_info_retr_eval_dot_recall@5": 0.998805256869773,
179
+ "eval_loss": 0.01802203245460987,
180
+ "eval_para_mine_eval_average_precision": 0.8868720697863423,
181
+ "eval_para_mine_eval_f1": 0.8749901834425858,
182
+ "eval_para_mine_eval_precision": 0.8953481226571621,
183
+ "eval_para_mine_eval_recall": 0.8555374379497094,
184
+ "eval_para_mine_eval_threshold": 0.6635497808456421,
185
+ "eval_runtime": 44.1381,
186
+ "eval_samples_per_second": 246.521,
187
+ "eval_sequential_score": 0.9944206662844655,
188
+ "eval_steps_per_second": 1.948,
189
+ "step": 310
190
+ },
191
+ {
192
+ "epoch": 0.5478645066273933,
193
+ "grad_norm": 0.8567762970924377,
194
+ "learning_rate": 4.3030459473412496e-05,
195
+ "loss": 0.0475,
196
+ "step": 372
197
+ },
198
+ {
199
+ "epoch": 0.5478645066273933,
200
+ "eval_info_retr_eval_dot_accuracy@1": 0.9909934748644426,
201
+ "eval_info_retr_eval_dot_accuracy@10": 0.9995404834114512,
202
+ "eval_info_retr_eval_dot_accuracy@3": 0.9974267071041265,
203
+ "eval_info_retr_eval_dot_accuracy@5": 0.9978862236926753,
204
+ "eval_info_retr_eval_dot_map@100": 0.9943151219822102,
205
+ "eval_info_retr_eval_dot_mrr@10": 0.9942822642643431,
206
+ "eval_info_retr_eval_dot_ndcg@10": 0.9955792346109411,
207
+ "eval_info_retr_eval_dot_precision@1": 0.9909934748644426,
208
+ "eval_info_retr_eval_dot_precision@10": 0.09995404834114513,
209
+ "eval_info_retr_eval_dot_precision@3": 0.33247556903470876,
210
+ "eval_info_retr_eval_dot_precision@5": 0.19957724473853508,
211
+ "eval_info_retr_eval_dot_recall@1": 0.9909934748644426,
212
+ "eval_info_retr_eval_dot_recall@10": 0.9995404834114512,
213
+ "eval_info_retr_eval_dot_recall@3": 0.9974267071041265,
214
+ "eval_info_retr_eval_dot_recall@5": 0.9978862236926753,
215
+ "eval_loss": 0.020289968699216843,
216
+ "eval_para_mine_eval_average_precision": 0.9057199011076745,
217
+ "eval_para_mine_eval_f1": 0.8932047816062182,
218
+ "eval_para_mine_eval_precision": 0.9151715052081852,
219
+ "eval_para_mine_eval_recall": 0.8722678675477544,
220
+ "eval_para_mine_eval_threshold": 0.6722444593906403,
221
+ "eval_runtime": 44.2598,
222
+ "eval_samples_per_second": 245.844,
223
+ "eval_sequential_score": 0.9943151219822102,
224
+ "eval_steps_per_second": 1.943,
225
+ "step": 372
226
+ },
227
+ {
228
+ "epoch": 0.6391752577319587,
229
+ "grad_norm": 1.4318528175354004,
230
+ "learning_rate": 4.1430046463603515e-05,
231
+ "loss": 0.0377,
232
+ "step": 434
233
+ },
234
+ {
235
+ "epoch": 0.6391752577319587,
236
+ "eval_info_retr_eval_dot_accuracy@1": 0.9912691848175719,
237
+ "eval_info_retr_eval_dot_accuracy@10": 0.9997242900468707,
238
+ "eval_info_retr_eval_dot_accuracy@3": 0.998805256869773,
239
+ "eval_info_retr_eval_dot_accuracy@5": 0.9995404834114512,
240
+ "eval_info_retr_eval_dot_map@100": 0.9950291896321672,
241
+ "eval_info_retr_eval_dot_mrr@10": 0.9950066958131474,
242
+ "eval_info_retr_eval_dot_ndcg@10": 0.996211640167477,
243
+ "eval_info_retr_eval_dot_precision@1": 0.9912691848175719,
244
+ "eval_info_retr_eval_dot_precision@10": 0.09997242900468709,
245
+ "eval_info_retr_eval_dot_precision@3": 0.33293508562325763,
246
+ "eval_info_retr_eval_dot_precision@5": 0.1999080966822902,
247
+ "eval_info_retr_eval_dot_recall@1": 0.9912691848175719,
248
+ "eval_info_retr_eval_dot_recall@10": 0.9997242900468707,
249
+ "eval_info_retr_eval_dot_recall@3": 0.998805256869773,
250
+ "eval_info_retr_eval_dot_recall@5": 0.9995404834114512,
251
+ "eval_loss": 0.015328879468142986,
252
+ "eval_para_mine_eval_average_precision": 0.8941081769196199,
253
+ "eval_para_mine_eval_f1": 0.8799847506361558,
254
+ "eval_para_mine_eval_precision": 0.8951106127502512,
255
+ "eval_para_mine_eval_recall": 0.8653615967984535,
256
+ "eval_para_mine_eval_threshold": 0.6661731898784637,
257
+ "eval_runtime": 44.1048,
258
+ "eval_samples_per_second": 246.708,
259
+ "eval_sequential_score": 0.9950291896321672,
260
+ "eval_steps_per_second": 1.95,
261
+ "step": 434
262
+ },
263
+ {
264
+ "epoch": 0.7304860088365243,
265
+ "grad_norm": 0.5837889909744263,
266
+ "learning_rate": 3.9829633453794526e-05,
267
+ "loss": 0.0241,
268
+ "step": 496
269
+ },
270
+ {
271
+ "epoch": 0.7304860088365243,
272
+ "eval_info_retr_eval_dot_accuracy@1": 0.9905339582758937,
273
+ "eval_info_retr_eval_dot_accuracy@10": 0.9998161933645805,
274
+ "eval_info_retr_eval_dot_accuracy@3": 0.9981619336458046,
275
+ "eval_info_retr_eval_dot_accuracy@5": 0.9993566767760316,
276
+ "eval_info_retr_eval_dot_map@100": 0.9944845062676603,
277
+ "eval_info_retr_eval_dot_mrr@10": 0.994473656570431,
278
+ "eval_info_retr_eval_dot_ndcg@10": 0.9958242906817244,
279
+ "eval_info_retr_eval_dot_precision@1": 0.9905339582758937,
280
+ "eval_info_retr_eval_dot_precision@10": 0.09998161933645805,
281
+ "eval_info_retr_eval_dot_precision@3": 0.3327206445486015,
282
+ "eval_info_retr_eval_dot_precision@5": 0.19987133535520635,
283
+ "eval_info_retr_eval_dot_recall@1": 0.9905339582758937,
284
+ "eval_info_retr_eval_dot_recall@10": 0.9998161933645805,
285
+ "eval_info_retr_eval_dot_recall@3": 0.9981619336458046,
286
+ "eval_info_retr_eval_dot_recall@5": 0.9993566767760316,
287
+ "eval_loss": 0.016888538375496864,
288
+ "eval_para_mine_eval_average_precision": 0.8920135475248205,
289
+ "eval_para_mine_eval_f1": 0.8817566331198535,
290
+ "eval_para_mine_eval_precision": 0.8931684329053274,
291
+ "eval_para_mine_eval_recall": 0.870632766166952,
292
+ "eval_para_mine_eval_threshold": 0.6506930291652679,
293
+ "eval_runtime": 43.9952,
294
+ "eval_samples_per_second": 247.322,
295
+ "eval_sequential_score": 0.9944845062676603,
296
+ "eval_steps_per_second": 1.955,
297
+ "step": 496
298
+ },
299
+ {
300
+ "epoch": 0.8217967599410898,
301
+ "grad_norm": 0.7147839069366455,
302
+ "learning_rate": 3.8229220443985544e-05,
303
+ "loss": 0.045,
304
+ "step": 558
305
+ },
306
+ {
307
+ "epoch": 0.8217967599410898,
308
+ "eval_info_retr_eval_dot_accuracy@1": 0.9938424777134455,
309
+ "eval_info_retr_eval_dot_accuracy@10": 0.9998161933645805,
310
+ "eval_info_retr_eval_dot_accuracy@3": 0.9986214502343534,
311
+ "eval_info_retr_eval_dot_accuracy@5": 0.9993566767760316,
312
+ "eval_info_retr_eval_dot_map@100": 0.9963993172223115,
313
+ "eval_info_retr_eval_dot_mrr@10": 0.9963845891265246,
314
+ "eval_info_retr_eval_dot_ndcg@10": 0.9972497507624225,
315
+ "eval_info_retr_eval_dot_precision@1": 0.9938424777134455,
316
+ "eval_info_retr_eval_dot_precision@10": 0.09998161933645805,
317
+ "eval_info_retr_eval_dot_precision@3": 0.33287381674478445,
318
+ "eval_info_retr_eval_dot_precision@5": 0.19987133535520635,
319
+ "eval_info_retr_eval_dot_recall@1": 0.9938424777134455,
320
+ "eval_info_retr_eval_dot_recall@10": 0.9998161933645805,
321
+ "eval_info_retr_eval_dot_recall@3": 0.9986214502343534,
322
+ "eval_info_retr_eval_dot_recall@5": 0.9993566767760316,
323
+ "eval_loss": 0.013228075578808784,
324
+ "eval_para_mine_eval_average_precision": 0.9111664137442287,
325
+ "eval_para_mine_eval_f1": 0.8942790038822603,
326
+ "eval_para_mine_eval_precision": 0.9093417624592629,
327
+ "eval_para_mine_eval_recall": 0.8797071271449414,
328
+ "eval_para_mine_eval_threshold": 0.6545680165290833,
329
+ "eval_runtime": 44.1589,
330
+ "eval_samples_per_second": 246.405,
331
+ "eval_sequential_score": 0.9963993172223115,
332
+ "eval_steps_per_second": 1.948,
333
+ "step": 558
334
+ },
335
+ {
336
+ "epoch": 0.9131075110456554,
337
+ "grad_norm": 1.6569366455078125,
338
+ "learning_rate": 3.662880743417656e-05,
339
+ "loss": 0.0302,
340
+ "step": 620
341
+ },
342
+ {
343
+ "epoch": 0.9131075110456554,
344
+ "eval_info_retr_eval_dot_accuracy@1": 0.9913610881352817,
345
+ "eval_info_retr_eval_dot_accuracy@10": 0.9992647734583219,
346
+ "eval_info_retr_eval_dot_accuracy@3": 0.9980700303280948,
347
+ "eval_info_retr_eval_dot_accuracy@5": 0.9987133535520633,
348
+ "eval_info_retr_eval_dot_map@100": 0.9947594505678611,
349
+ "eval_info_retr_eval_dot_mrr@10": 0.9947092135264177,
350
+ "eval_info_retr_eval_dot_ndcg@10": 0.9958603290565278,
351
+ "eval_info_retr_eval_dot_precision@1": 0.9913610881352817,
352
+ "eval_info_retr_eval_dot_precision@10": 0.0999264773458322,
353
+ "eval_info_retr_eval_dot_precision@3": 0.33269001010936494,
354
+ "eval_info_retr_eval_dot_precision@5": 0.19974267071041266,
355
+ "eval_info_retr_eval_dot_recall@1": 0.9913610881352817,
356
+ "eval_info_retr_eval_dot_recall@10": 0.9992647734583219,
357
+ "eval_info_retr_eval_dot_recall@3": 0.9980700303280948,
358
+ "eval_info_retr_eval_dot_recall@5": 0.9987133535520633,
359
+ "eval_loss": 0.01584717258810997,
360
+ "eval_para_mine_eval_average_precision": 0.9161096169142061,
361
+ "eval_para_mine_eval_f1": 0.9015840220385676,
362
+ "eval_para_mine_eval_precision": 0.9167067369413698,
363
+ "eval_para_mine_eval_recall": 0.886952161992475,
364
+ "eval_para_mine_eval_threshold": 0.6570625901222229,
365
+ "eval_runtime": 44.3069,
366
+ "eval_samples_per_second": 245.583,
367
+ "eval_sequential_score": 0.9947594505678611,
368
+ "eval_steps_per_second": 1.941,
369
+ "step": 620
370
+ },
371
+ {
372
+ "epoch": 1.004418262150221,
373
+ "grad_norm": 0.12535937130451202,
374
+ "learning_rate": 3.502839442436758e-05,
375
+ "loss": 0.0314,
376
+ "step": 682
377
+ },
378
+ {
379
+ "epoch": 1.004418262150221,
380
+ "eval_info_retr_eval_dot_accuracy@1": 0.9902582483227644,
381
+ "eval_info_retr_eval_dot_accuracy@10": 0.9998161933645805,
382
+ "eval_info_retr_eval_dot_accuracy@3": 0.9983457402812241,
383
+ "eval_info_retr_eval_dot_accuracy@5": 0.9994485800937414,
384
+ "eval_info_retr_eval_dot_map@100": 0.9944195539625648,
385
+ "eval_info_retr_eval_dot_mrr@10": 0.9944061513953989,
386
+ "eval_info_retr_eval_dot_ndcg@10": 0.9957806542116834,
387
+ "eval_info_retr_eval_dot_precision@1": 0.9902582483227644,
388
+ "eval_info_retr_eval_dot_precision@10": 0.09998161933645805,
389
+ "eval_info_retr_eval_dot_precision@3": 0.3327819134270747,
390
+ "eval_info_retr_eval_dot_precision@5": 0.19988971601874833,
391
+ "eval_info_retr_eval_dot_recall@1": 0.9902582483227644,
392
+ "eval_info_retr_eval_dot_recall@10": 0.9998161933645805,
393
+ "eval_info_retr_eval_dot_recall@3": 0.9983457402812241,
394
+ "eval_info_retr_eval_dot_recall@5": 0.9994485800937414,
395
+ "eval_loss": 0.01480414904654026,
396
+ "eval_para_mine_eval_average_precision": 0.9018706893922749,
397
+ "eval_para_mine_eval_f1": 0.8877219600165349,
398
+ "eval_para_mine_eval_precision": 0.8927995468022605,
399
+ "eval_para_mine_eval_recall": 0.8827018017733171,
400
+ "eval_para_mine_eval_threshold": 0.6474231779575348,
401
+ "eval_runtime": 43.8665,
402
+ "eval_samples_per_second": 248.048,
403
+ "eval_sequential_score": 0.9944195539625648,
404
+ "eval_steps_per_second": 1.96,
405
+ "step": 682
406
+ },
407
+ {
408
+ "epoch": 1.0559646539027983,
409
+ "grad_norm": 0.2109777331352234,
410
+ "learning_rate": 3.342798141455859e-05,
411
+ "loss": 0.0204,
412
+ "step": 744
413
+ },
414
+ {
415
+ "epoch": 1.0559646539027983,
416
+ "eval_info_retr_eval_dot_accuracy@1": 0.9939343810311553,
417
+ "eval_info_retr_eval_dot_accuracy@10": 1.0,
418
+ "eval_info_retr_eval_dot_accuracy@3": 0.9992647734583219,
419
+ "eval_info_retr_eval_dot_accuracy@5": 0.9999080966822902,
420
+ "eval_info_retr_eval_dot_map@100": 0.996594216217872,
421
+ "eval_info_retr_eval_dot_mrr@10": 0.9965942162178723,
422
+ "eval_info_retr_eval_dot_ndcg@10": 0.9974631239499567,
423
+ "eval_info_retr_eval_dot_precision@1": 0.9939343810311553,
424
+ "eval_info_retr_eval_dot_precision@10": 0.10000000000000002,
425
+ "eval_info_retr_eval_dot_precision@3": 0.33308825781944057,
426
+ "eval_info_retr_eval_dot_precision@5": 0.19998161933645806,
427
+ "eval_info_retr_eval_dot_recall@1": 0.9939343810311553,
428
+ "eval_info_retr_eval_dot_recall@10": 1.0,
429
+ "eval_info_retr_eval_dot_recall@3": 0.9992647734583219,
430
+ "eval_info_retr_eval_dot_recall@5": 0.9999080966822902,
431
+ "eval_loss": 0.011477422900497913,
432
+ "eval_para_mine_eval_average_precision": 0.9183526341973961,
433
+ "eval_para_mine_eval_f1": 0.9008710021688987,
434
+ "eval_para_mine_eval_precision": 0.9157536675501139,
435
+ "eval_para_mine_eval_recall": 0.8864643416910201,
436
+ "eval_para_mine_eval_threshold": 0.6480826139450073,
437
+ "eval_runtime": 45.0423,
438
+ "eval_samples_per_second": 241.573,
439
+ "eval_sequential_score": 0.996594216217872,
440
+ "eval_steps_per_second": 1.909,
441
+ "step": 744
442
+ },
443
+ {
444
+ "epoch": 1.1472754050073637,
445
+ "grad_norm": 0.43087926506996155,
446
+ "learning_rate": 3.182756840474961e-05,
447
+ "loss": 0.0193,
448
+ "step": 806
449
+ },
450
+ {
451
+ "epoch": 1.1472754050073637,
452
+ "eval_info_retr_eval_dot_accuracy@1": 0.9939343810311553,
453
+ "eval_info_retr_eval_dot_accuracy@10": 1.0,
454
+ "eval_info_retr_eval_dot_accuracy@3": 0.9991728701406121,
455
+ "eval_info_retr_eval_dot_accuracy@5": 0.9998161933645805,
456
+ "eval_info_retr_eval_dot_map@100": 0.996541371810189,
457
+ "eval_info_retr_eval_dot_mrr@10": 0.996541371810189,
458
+ "eval_info_retr_eval_dot_ndcg@10": 0.9974193893555866,
459
+ "eval_info_retr_eval_dot_precision@1": 0.9939343810311553,
460
+ "eval_info_retr_eval_dot_precision@10": 0.10000000000000002,
461
+ "eval_info_retr_eval_dot_precision@3": 0.333057623380204,
462
+ "eval_info_retr_eval_dot_precision@5": 0.1999632386729161,
463
+ "eval_info_retr_eval_dot_recall@1": 0.9939343810311553,
464
+ "eval_info_retr_eval_dot_recall@10": 1.0,
465
+ "eval_info_retr_eval_dot_recall@3": 0.9991728701406121,
466
+ "eval_info_retr_eval_dot_recall@5": 0.9998161933645805,
467
+ "eval_loss": 0.01137059461325407,
468
+ "eval_para_mine_eval_average_precision": 0.9152930281344098,
469
+ "eval_para_mine_eval_f1": 0.8996903771768937,
470
+ "eval_para_mine_eval_precision": 0.9043090584686712,
471
+ "eval_para_mine_eval_recall": 0.895118635187201,
472
+ "eval_para_mine_eval_threshold": 0.6495572626590729,
473
+ "eval_runtime": 43.8875,
474
+ "eval_samples_per_second": 247.93,
475
+ "eval_sequential_score": 0.996541371810189,
476
+ "eval_steps_per_second": 1.96,
477
+ "step": 806
478
+ },
479
+ {
480
+ "epoch": 1.2385861561119293,
481
+ "grad_norm": 1.3790454864501953,
482
+ "learning_rate": 3.0227155394940632e-05,
483
+ "loss": 0.0164,
484
+ "step": 868
485
+ },
486
+ {
487
+ "epoch": 1.2385861561119293,
488
+ "eval_info_retr_eval_dot_accuracy@1": 0.9937505743957357,
489
+ "eval_info_retr_eval_dot_accuracy@10": 1.0,
490
+ "eval_info_retr_eval_dot_accuracy@3": 0.9990809668229023,
491
+ "eval_info_retr_eval_dot_accuracy@5": 0.9999080966822902,
492
+ "eval_info_retr_eval_dot_map@100": 0.9964954201513342,
493
+ "eval_info_retr_eval_dot_mrr@10": 0.9964954201513342,
494
+ "eval_info_retr_eval_dot_ndcg@10": 0.9973903161826975,
495
+ "eval_info_retr_eval_dot_precision@1": 0.9937505743957357,
496
+ "eval_info_retr_eval_dot_precision@10": 0.10000000000000002,
497
+ "eval_info_retr_eval_dot_precision@3": 0.3330269889409674,
498
+ "eval_info_retr_eval_dot_precision@5": 0.19998161933645806,
499
+ "eval_info_retr_eval_dot_recall@1": 0.9937505743957357,
500
+ "eval_info_retr_eval_dot_recall@10": 1.0,
501
+ "eval_info_retr_eval_dot_recall@3": 0.9990809668229023,
502
+ "eval_info_retr_eval_dot_recall@5": 0.9999080966822902,
503
+ "eval_loss": 0.009216207079589367,
504
+ "eval_para_mine_eval_average_precision": 0.9306620270961232,
505
+ "eval_para_mine_eval_f1": 0.9113359207458677,
506
+ "eval_para_mine_eval_precision": 0.9197094729482332,
507
+ "eval_para_mine_eval_recall": 0.9031134679054893,
508
+ "eval_para_mine_eval_threshold": 0.6408547163009644,
509
+ "eval_runtime": 44.7336,
510
+ "eval_samples_per_second": 243.24,
511
+ "eval_sequential_score": 0.9964954201513342,
512
+ "eval_steps_per_second": 1.922,
513
+ "step": 868
514
+ }
515
+ ],
516
+ "logging_steps": 62,
517
+ "max_steps": 2037,
518
+ "num_input_tokens_seen": 0,
519
+ "num_train_epochs": 3,
520
+ "save_steps": 62,
521
+ "stateful_callbacks": {
522
+ "EarlyStoppingCallback": {
523
+ "args": {
524
+ "early_stopping_patience": 3,
525
+ "early_stopping_threshold": 0.0
526
+ },
527
+ "attributes": {
528
+ "early_stopping_patience_counter": 0
529
+ }
530
+ },
531
+ "TrainerControl": {
532
+ "args": {
533
+ "should_epoch_stop": false,
534
+ "should_evaluate": false,
535
+ "should_log": false,
536
+ "should_save": true,
537
+ "should_training_stop": false
538
+ },
539
+ "attributes": {}
540
+ }
541
+ },
542
+ "total_flos": 0.0,
543
+ "train_batch_size": 64,
544
+ "trial_name": null,
545
+ "trial_params": null
546
+ }
Embedder-typosquat-detect-Canine/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c431d80403ce84423aeb10cd2bf71cc31f4065f9bec9612287cf632e199882b
3
+ size 5560