jialicheng commited on
Commit
1dbfa93
·
verified ·
1 Parent(s): 87a8fd1

Upload folder using huggingface_hub

Browse files
all_results.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "df_accuracy": 0.51,
3
+ "df_loss": 2.113250494003296,
4
+ "dr_accuracy": 0.9995833333333334,
5
+ "dr_loss": 0.019635748118162155,
6
+ "dt_accuracy": 0.89696,
7
+ "epoch": 6.0,
8
+ "eval_unlearn_overall_accuracy": 0,
9
+ "knowledge_gap": 0.7447769999999999,
10
+ "ood_accuracy": 0.8204839617332583,
11
+ "ood_loss": 0.6248859167098999,
12
+ "test_accuracy": 0.89696,
13
+ "test_loss": 0.4129050672054291,
14
+ "total_flos": 9866664576000000.0,
15
+ "train_loss": 0.14786307423519254,
16
+ "train_runtime": 1087.3452,
17
+ "train_samples_per_second": 137.951,
18
+ "train_steps_per_second": 4.315,
19
+ "unlearn_overall_accuracy": 0.9888185918569607,
20
+ "unlearn_time": 1088.4720206260681,
21
+ "zrf": 0.8559084284765939
22
+ }
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "jialicheng/imdb-electra-base",
3
+ "architectures": [
4
+ "ElectraForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "embedding_size": 768,
9
+ "finetuning_task": "text-classification",
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
+ "max_position_embeddings": 512,
17
+ "model_type": "electra",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "pad_token_id": 0,
21
+ "position_embedding_type": "absolute",
22
+ "problem_type": "single_label_classification",
23
+ "summary_activation": "gelu",
24
+ "summary_last_dropout": 0.1,
25
+ "summary_type": "first",
26
+ "summary_use_proj": true,
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.48.0",
29
+ "type_vocab_size": 2,
30
+ "use_cache": true,
31
+ "vocab_size": 30522
32
+ }
df_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "df_accuracy": 0.51,
3
+ "df_loss": 2.113250494003296
4
+ }
dr_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "dr_accuracy": 0.9995833333333334,
3
+ "dr_loss": 0.019635748118162155
4
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a18f3439b3f9f00b055e41f156d1c93fb75e20debd6122520d93977fc7d0b61
3
+ size 437959248
ood_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "ood_accuracy": 0.8204839617332583,
3
+ "ood_loss": 0.6248859167098999
4
+ }
pred_logit_df.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba68c75cc23444c17040021470c0c64db7a9f034624d421c49eec69a42b5436e
3
+ size 8128
pred_logit_dr.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a8cdcfe5cfb3c1b0dd769fb5736cd9bc68dc3da7b2af84f11778ab1bb489d23
3
+ size 192128
pred_logit_eval.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:023ef7b1c11321dd71908d79fc900c704e4561541654d559c73b330682b93d83
3
+ size 200128
pred_logit_ood.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0481ba4afa64efaefd93199b500b1df74ba24422b74923735db98c1920fb372e
3
+ size 85424
pred_logit_test.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bea1632d7af870d2bd39a0a8eb19a383b65b2d0a0262eed70d1896b01adf87ad
3
+ size 200128
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
+ }
test_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "test_accuracy": 0.89696,
3
+ "test_loss": 0.4129050672054291
4
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": false,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "ElectraTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "total_flos": 9866664576000000.0,
4
+ "train_loss": 0.14786307423519254,
5
+ "train_runtime": 1087.3452,
6
+ "train_samples_per_second": 137.951,
7
+ "train_steps_per_second": 4.315
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9888185918569607,
3
+ "best_model_checkpoint": "../../checkpoint/unlearn/imdb/electra-base/random_label/4.0/87/checkpoint-3910",
4
+ "epoch": 6.0,
5
+ "eval_steps": 500,
6
+ "global_step": 4692,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "df_accuracy": 0.954,
13
+ "dt_accuracy": 0.89148,
14
+ "epoch": 1.0,
15
+ "eval_accuracy": 0.89148,
16
+ "eval_loss": 0.3535365164279938,
17
+ "eval_runtime": 39.267,
18
+ "eval_samples_per_second": 636.667,
19
+ "eval_steps_per_second": 2.496,
20
+ "eval_unlearn_overall_accuracy": 0.7018366663176631,
21
+ "step": 782,
22
+ "unlearn_overall_accuracy": 0.7018366663176631,
23
+ "unlearn_time": null
24
+ },
25
+ {
26
+ "epoch": 1.278772378516624,
27
+ "grad_norm": 9.401727676391602,
28
+ "learning_rate": 3.934356351236147e-05,
29
+ "loss": 0.1955,
30
+ "step": 1000
31
+ },
32
+ {
33
+ "df_accuracy": 0.88,
34
+ "dt_accuracy": 0.89556,
35
+ "epoch": 2.0,
36
+ "eval_accuracy": 0.89556,
37
+ "eval_loss": 0.35679566860198975,
38
+ "eval_runtime": 39.2407,
39
+ "eval_samples_per_second": 637.093,
40
+ "eval_steps_per_second": 2.497,
41
+ "eval_unlearn_overall_accuracy": 0.7613666699870505,
42
+ "step": 1564,
43
+ "unlearn_overall_accuracy": 0.7613666699870505,
44
+ "unlearn_time": null
45
+ },
46
+ {
47
+ "epoch": 2.557544757033248,
48
+ "grad_norm": 0.255653440952301,
49
+ "learning_rate": 2.8687127024722932e-05,
50
+ "loss": 0.1713,
51
+ "step": 2000
52
+ },
53
+ {
54
+ "df_accuracy": 0.781,
55
+ "dt_accuracy": 0.90096,
56
+ "epoch": 3.0,
57
+ "eval_accuracy": 0.90096,
58
+ "eval_loss": 0.3296363949775696,
59
+ "eval_runtime": 39.6794,
60
+ "eval_samples_per_second": 630.049,
61
+ "eval_steps_per_second": 2.47,
62
+ "eval_unlearn_overall_accuracy": 0.8335934620960576,
63
+ "step": 2346,
64
+ "unlearn_overall_accuracy": 0.8335934620960576,
65
+ "unlearn_time": null
66
+ },
67
+ {
68
+ "epoch": 3.836317135549872,
69
+ "grad_norm": 0.2970806956291199,
70
+ "learning_rate": 1.80306905370844e-05,
71
+ "loss": 0.1551,
72
+ "step": 3000
73
+ },
74
+ {
75
+ "df_accuracy": 0.668,
76
+ "dt_accuracy": 0.89636,
77
+ "epoch": 4.0,
78
+ "eval_accuracy": 0.89636,
79
+ "eval_loss": 0.37877824902534485,
80
+ "eval_runtime": 40.1851,
81
+ "eval_samples_per_second": 622.121,
82
+ "eval_steps_per_second": 2.439,
83
+ "eval_unlearn_overall_accuracy": 0.9029128331427566,
84
+ "step": 3128,
85
+ "unlearn_overall_accuracy": 0.9029128331427566,
86
+ "unlearn_time": null
87
+ },
88
+ {
89
+ "df_accuracy": 0.51,
90
+ "dt_accuracy": 0.89696,
91
+ "epoch": 5.0,
92
+ "eval_accuracy": 0.89696,
93
+ "eval_loss": 0.4129050672054291,
94
+ "eval_runtime": 39.4883,
95
+ "eval_samples_per_second": 633.099,
96
+ "eval_steps_per_second": 2.482,
97
+ "eval_unlearn_overall_accuracy": 0.9888185918569607,
98
+ "step": 3910,
99
+ "unlearn_overall_accuracy": 0.9888185918569607,
100
+ "unlearn_time": null
101
+ },
102
+ {
103
+ "epoch": 5.115089514066496,
104
+ "grad_norm": 0.8286142945289612,
105
+ "learning_rate": 7.374254049445865e-06,
106
+ "loss": 0.1164,
107
+ "step": 4000
108
+ },
109
+ {
110
+ "df_accuracy": 0.291,
111
+ "dt_accuracy": 0.88768,
112
+ "epoch": 6.0,
113
+ "eval_accuracy": 0.88768,
114
+ "eval_loss": 0.5282508730888367,
115
+ "eval_runtime": 39.1891,
116
+ "eval_samples_per_second": 637.933,
117
+ "eval_steps_per_second": 2.501,
118
+ "eval_unlearn_overall_accuracy": 0,
119
+ "step": 4692,
120
+ "unlearn_overall_accuracy": 0,
121
+ "unlearn_time": null
122
+ },
123
+ {
124
+ "epoch": 6.0,
125
+ "step": 4692,
126
+ "total_flos": 9866664576000000.0,
127
+ "train_loss": 0.14786307423519254,
128
+ "train_runtime": 1087.3452,
129
+ "train_samples_per_second": 137.951,
130
+ "train_steps_per_second": 4.315
131
+ }
132
+ ],
133
+ "logging_steps": 1000,
134
+ "max_steps": 4692,
135
+ "num_input_tokens_seen": 0,
136
+ "num_train_epochs": 6,
137
+ "save_steps": 500,
138
+ "stateful_callbacks": {
139
+ "TrainerControl": {
140
+ "args": {
141
+ "should_epoch_stop": false,
142
+ "should_evaluate": false,
143
+ "should_log": false,
144
+ "should_save": true,
145
+ "should_training_stop": true
146
+ },
147
+ "attributes": {}
148
+ }
149
+ },
150
+ "total_flos": 9866664576000000.0,
151
+ "train_batch_size": 32,
152
+ "trial_name": null,
153
+ "trial_params": null
154
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8f4c3bfa25c4a87418c2ebd71ef657dfabb765735f72951612f5dab76b9d77b
3
+ size 5496
unlearn_final_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "df_accuracy": 0.51,
3
+ "dr_accuracy": 0.9995833333333334,
4
+ "dt_accuracy": 0.89696,
5
+ "eval_unlearn_overall_accuracy": 0,
6
+ "knowledge_gap": 0.7447769999999999,
7
+ "ood_accuracy": 0.8204839617332583,
8
+ "unlearn_overall_accuracy": 0.9888185918569607,
9
+ "unlearn_time": 1088.4720206260681,
10
+ "zrf": 0.8559084284765939
11
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff