av-codes commited on
Commit
551ef81
·
verified ·
1 Parent(s): ac5c456

Best checkpoint - DistilBERT prompt injection detector, F1=1.0 val, 0.959 test

Browse files
config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForSequenceClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "bos_token_id": null,
8
+ "dim": 768,
9
+ "dropout": 0.1,
10
+ "dtype": "float32",
11
+ "eos_token_id": null,
12
+ "hidden_dim": 3072,
13
+ "id2label": {
14
+ "0": "safe",
15
+ "1": "injection"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "label2id": {
19
+ "injection": 1,
20
+ "safe": 0
21
+ },
22
+ "max_position_embeddings": 512,
23
+ "model_type": "distilbert",
24
+ "n_heads": 12,
25
+ "n_layers": 6,
26
+ "pad_token_id": 0,
27
+ "problem_type": "single_label_classification",
28
+ "qa_dropout": 0.1,
29
+ "seq_classif_dropout": 0.2,
30
+ "sinusoidal_pos_embds": false,
31
+ "tie_weights_": true,
32
+ "tie_word_embeddings": true,
33
+ "transformers_version": "5.8.1",
34
+ "use_cache": false,
35
+ "vocab_size": 30522
36
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3ec844b481b829bfd89701701cf86ed6be606573f76e8ec3fa27b135dfc2387
3
+ size 267832560
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "cls_token": "[CLS]",
4
+ "do_lower_case": true,
5
+ "is_local": false,
6
+ "local_files_only": false,
7
+ "mask_token": "[MASK]",
8
+ "model_max_length": 512,
9
+ "pad_token": "[PAD]",
10
+ "sep_token": "[SEP]",
11
+ "strip_accents": null,
12
+ "tokenize_chinese_chars": true,
13
+ "tokenizer_class": "BertTokenizer",
14
+ "unk_token": "[UNK]"
15
+ }
trainer_state.json ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 99,
3
+ "best_metric": 1.0,
4
+ "best_model_checkpoint": "./pi-detector/checkpoint-99",
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 99,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.010101010101010102,
14
+ "grad_norm": 1.3391671180725098,
15
+ "learning_rate": 0.0,
16
+ "loss": 0.6838793754577637,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.10101010101010101,
21
+ "grad_norm": 1.2506626844406128,
22
+ "learning_rate": 1.8000000000000001e-06,
23
+ "loss": 0.6808025042215983,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.20202020202020202,
28
+ "grad_norm": 1.1518597602844238,
29
+ "learning_rate": 3.8000000000000005e-06,
30
+ "loss": 0.6861461639404297,
31
+ "step": 20
32
+ },
33
+ {
34
+ "epoch": 0.30303030303030304,
35
+ "grad_norm": 1.91855788230896,
36
+ "learning_rate": 5.8e-06,
37
+ "loss": 0.6577313423156739,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 0.40404040404040403,
42
+ "grad_norm": 1.835654854774475,
43
+ "learning_rate": 7.800000000000002e-06,
44
+ "loss": 0.5954501628875732,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 0.5050505050505051,
49
+ "grad_norm": 1.999822735786438,
50
+ "learning_rate": 9.800000000000001e-06,
51
+ "loss": 0.5008408069610596,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.6060606060606061,
56
+ "grad_norm": 2.83133864402771,
57
+ "learning_rate": 1.18e-05,
58
+ "loss": 0.37516820430755615,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 0.7070707070707071,
63
+ "grad_norm": 1.6260528564453125,
64
+ "learning_rate": 1.38e-05,
65
+ "loss": 0.29813175201416015,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 0.8080808080808081,
70
+ "grad_norm": 1.7019435167312622,
71
+ "learning_rate": 1.58e-05,
72
+ "loss": 0.2266446352005005,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 0.9090909090909091,
77
+ "grad_norm": 1.1480830907821655,
78
+ "learning_rate": 1.7800000000000002e-05,
79
+ "loss": 0.17041007280349732,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.0,
84
+ "eval_accuracy": 1.0,
85
+ "eval_f1": 1.0,
86
+ "eval_loss": 0.032340291887521744,
87
+ "eval_precision": 1.0,
88
+ "eval_recall": 1.0,
89
+ "eval_runtime": 0.2543,
90
+ "eval_samples_per_second": 503.339,
91
+ "eval_steps_per_second": 15.729,
92
+ "step": 99
93
+ }
94
+ ],
95
+ "logging_steps": 10,
96
+ "max_steps": 495,
97
+ "num_input_tokens_seen": 0,
98
+ "num_train_epochs": 5,
99
+ "save_steps": 500,
100
+ "stateful_callbacks": {
101
+ "TrainerControl": {
102
+ "args": {
103
+ "should_epoch_stop": false,
104
+ "should_evaluate": false,
105
+ "should_log": false,
106
+ "should_save": true,
107
+ "should_training_stop": false
108
+ },
109
+ "attributes": {}
110
+ }
111
+ },
112
+ "total_flos": 32576631053856.0,
113
+ "train_batch_size": 16,
114
+ "trial_name": null,
115
+ "trial_params": null
116
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae22f7875c9b5a884d3c1d28b340e1a4ddf3dd21a23f7ab1eece96a498a9a384
3
+ size 5329