sharkMeow commited on
Commit
4e6d974
1 Parent(s): 14f8552

End of training

Browse files
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
18
  This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 4.6300
21
- - Accuracy: 0.0310
22
 
23
  ## Model description
24
 
 
18
  This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 4.6300
21
+ - Accuracy: 0.0309
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 59.922928709055874,
3
+ "eval_accuracy": 0.030948246302912322,
4
+ "eval_loss": 4.6299943923950195,
5
+ "eval_runtime": 31.5187,
6
+ "eval_samples_per_second": 260.766,
7
+ "eval_steps_per_second": 6.536,
8
+ "total_flos": 1.4737892295759744e+18,
9
+ "train_loss": 2.0652262108118973,
10
+ "train_runtime": 33416.7253,
11
+ "train_samples_per_second": 111.779,
12
+ "train_steps_per_second": 0.558
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 59.922928709055874,
3
+ "eval_accuracy": 0.030948246302912322,
4
+ "eval_loss": 4.6299943923950195,
5
+ "eval_runtime": 31.5187,
6
+ "eval_samples_per_second": 260.766,
7
+ "eval_steps_per_second": 6.536
8
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": {
3
+ "height": 224,
4
+ "width": 224
5
+ },
6
+ "do_center_crop": false,
7
+ "do_convert_rgb": true,
8
+ "do_normalize": true,
9
+ "do_rescale": true,
10
+ "do_resize": true,
11
+ "image_mean": [
12
+ 0.48145466,
13
+ 0.4578275,
14
+ 0.40821073
15
+ ],
16
+ "image_processor_type": "ChineseCLIPImageProcessor",
17
+ "image_std": [
18
+ 0.26862954,
19
+ 0.26130258,
20
+ 0.27577711
21
+ ],
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "height": 224,
26
+ "width": 224
27
+ }
28
+ }
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 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 1000000000000000019884624838656,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 59.922928709055874,
3
+ "total_flos": 1.4737892295759744e+18,
4
+ "train_loss": 2.0652262108118973,
5
+ "train_runtime": 33416.7253,
6
+ "train_samples_per_second": 111.779,
7
+ "train_steps_per_second": 0.558
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 59.922928709055874,
5
+ "eval_steps": 1866,
6
+ "global_step": 18660,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 5.992292870905588,
13
+ "grad_norm": 1.8218445777893066,
14
+ "learning_rate": 9.002143622722401e-06,
15
+ "loss": 2.4434,
16
+ "step": 1866
17
+ },
18
+ {
19
+ "epoch": 5.992292870905588,
20
+ "eval_accuracy": 0.03163401873707264,
21
+ "eval_loss": 3.7035000324249268,
22
+ "eval_runtime": 31.9522,
23
+ "eval_samples_per_second": 257.228,
24
+ "eval_steps_per_second": 6.447,
25
+ "step": 1866
26
+ },
27
+ {
28
+ "epoch": 11.984585741811175,
29
+ "grad_norm": 4.5330424308776855,
30
+ "learning_rate": 8.0021436227224e-06,
31
+ "loss": 2.2689,
32
+ "step": 3732
33
+ },
34
+ {
35
+ "epoch": 11.984585741811175,
36
+ "eval_accuracy": 0.031208176177150503,
37
+ "eval_loss": 3.9282093048095703,
38
+ "eval_runtime": 32.0567,
39
+ "eval_samples_per_second": 256.39,
40
+ "eval_steps_per_second": 6.426,
41
+ "step": 3732
42
+ },
43
+ {
44
+ "epoch": 17.976878612716764,
45
+ "grad_norm": 7.768856048583984,
46
+ "learning_rate": 7.002143622722402e-06,
47
+ "loss": 2.1311,
48
+ "step": 5598
49
+ },
50
+ {
51
+ "epoch": 17.976878612716764,
52
+ "eval_accuracy": 0.0324045909883603,
53
+ "eval_loss": 4.188955307006836,
54
+ "eval_runtime": 31.9998,
55
+ "eval_samples_per_second": 256.845,
56
+ "eval_steps_per_second": 6.438,
57
+ "step": 5598
58
+ },
59
+ {
60
+ "epoch": 23.96917148362235,
61
+ "grad_norm": 4.701458930969238,
62
+ "learning_rate": 6.002679528403002e-06,
63
+ "loss": 2.0473,
64
+ "step": 7464
65
+ },
66
+ {
67
+ "epoch": 23.96917148362235,
68
+ "eval_accuracy": 0.03166443606278136,
69
+ "eval_loss": 4.221826076507568,
70
+ "eval_runtime": 31.9366,
71
+ "eval_samples_per_second": 257.353,
72
+ "eval_steps_per_second": 6.45,
73
+ "step": 7464
74
+ },
75
+ {
76
+ "epoch": 29.961464354527937,
77
+ "grad_norm": 4.455111503601074,
78
+ "learning_rate": 5.003215434083602e-06,
79
+ "loss": 2.0065,
80
+ "step": 9330
81
+ },
82
+ {
83
+ "epoch": 29.961464354527937,
84
+ "eval_accuracy": 0.03170702031877357,
85
+ "eval_loss": 4.196821212768555,
86
+ "eval_runtime": 31.9205,
87
+ "eval_samples_per_second": 257.484,
88
+ "eval_steps_per_second": 6.454,
89
+ "step": 9330
90
+ },
91
+ {
92
+ "epoch": 35.95375722543353,
93
+ "grad_norm": 4.213284492492676,
94
+ "learning_rate": 4.003751339764202e-06,
95
+ "loss": 1.9816,
96
+ "step": 11196
97
+ },
98
+ {
99
+ "epoch": 35.95375722543353,
100
+ "eval_accuracy": 0.031127063308593907,
101
+ "eval_loss": 4.327696323394775,
102
+ "eval_runtime": 32.0629,
103
+ "eval_samples_per_second": 256.34,
104
+ "eval_steps_per_second": 6.425,
105
+ "step": 11196
106
+ },
107
+ {
108
+ "epoch": 41.946050096339114,
109
+ "grad_norm": 4.925486087799072,
110
+ "learning_rate": 3.004287245444802e-06,
111
+ "loss": 1.9593,
112
+ "step": 13062
113
+ },
114
+ {
115
+ "epoch": 41.946050096339114,
116
+ "eval_accuracy": 0.031164722854709472,
117
+ "eval_loss": 4.440001487731934,
118
+ "eval_runtime": 31.9997,
119
+ "eval_samples_per_second": 256.846,
120
+ "eval_steps_per_second": 6.438,
121
+ "step": 13062
122
+ },
123
+ {
124
+ "epoch": 47.9383429672447,
125
+ "grad_norm": 3.112938404083252,
126
+ "learning_rate": 2.004823151125402e-06,
127
+ "loss": 1.9448,
128
+ "step": 14928
129
+ },
130
+ {
131
+ "epoch": 47.9383429672447,
132
+ "eval_accuracy": 0.031116924200024335,
133
+ "eval_loss": 4.489612102508545,
134
+ "eval_runtime": 31.9592,
135
+ "eval_samples_per_second": 257.172,
136
+ "eval_steps_per_second": 6.446,
137
+ "step": 14928
138
+ },
139
+ {
140
+ "epoch": 53.93063583815029,
141
+ "grad_norm": 1.5867228507995605,
142
+ "learning_rate": 1.005359056806002e-06,
143
+ "loss": 1.9352,
144
+ "step": 16794
145
+ },
146
+ {
147
+ "epoch": 53.93063583815029,
148
+ "eval_accuracy": 0.03109326628002866,
149
+ "eval_loss": 4.571017265319824,
150
+ "eval_runtime": 31.9814,
151
+ "eval_samples_per_second": 256.993,
152
+ "eval_steps_per_second": 6.441,
153
+ "step": 16794
154
+ },
155
+ {
156
+ "epoch": 59.922928709055874,
157
+ "grad_norm": 4.193638801574707,
158
+ "learning_rate": 5.894962486602358e-09,
159
+ "loss": 1.9342,
160
+ "step": 18660
161
+ },
162
+ {
163
+ "epoch": 59.922928709055874,
164
+ "eval_accuracy": 0.031013505292614672,
165
+ "eval_loss": 4.6299943923950195,
166
+ "eval_runtime": 31.9345,
167
+ "eval_samples_per_second": 257.37,
168
+ "eval_steps_per_second": 6.451,
169
+ "step": 18660
170
+ },
171
+ {
172
+ "epoch": 59.922928709055874,
173
+ "step": 18660,
174
+ "total_flos": 1.4737892295759744e+18,
175
+ "train_loss": 2.0652262108118973,
176
+ "train_runtime": 33416.7253,
177
+ "train_samples_per_second": 111.779,
178
+ "train_steps_per_second": 0.558
179
+ }
180
+ ],
181
+ "logging_steps": 1866,
182
+ "max_steps": 18660,
183
+ "num_input_tokens_seen": 0,
184
+ "num_train_epochs": 60,
185
+ "save_steps": 500,
186
+ "stateful_callbacks": {
187
+ "TrainerControl": {
188
+ "args": {
189
+ "should_epoch_stop": false,
190
+ "should_evaluate": false,
191
+ "should_log": false,
192
+ "should_save": true,
193
+ "should_training_stop": true
194
+ },
195
+ "attributes": {}
196
+ }
197
+ },
198
+ "total_flos": 1.4737892295759744e+18,
199
+ "train_batch_size": 40,
200
+ "trial_name": null,
201
+ "trial_params": null
202
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff