sharkMeow commited on
Commit
3c29b28
1 Parent(s): b0be6ad

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: 4.7487
21
- - Accuracy: 0.0336
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: 4.7487
21
+ - Accuracy: 0.0334
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 59.922928709055874,
3
+ "eval_accuracy": 0.03338163235961022,
4
+ "eval_loss": 4.748708724975586,
5
+ "eval_runtime": 31.7647,
6
+ "eval_samples_per_second": 258.746,
7
+ "eval_steps_per_second": 6.485,
8
+ "total_flos": 1.4737892295759744e+18,
9
+ "train_loss": 2.065115170003517,
10
+ "train_runtime": 33403.3218,
11
+ "train_samples_per_second": 111.824,
12
+ "train_steps_per_second": 0.559
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 59.922928709055874,
3
+ "eval_accuracy": 0.03338163235961022,
4
+ "eval_loss": 4.748708724975586,
5
+ "eval_runtime": 31.7647,
6
+ "eval_samples_per_second": 258.746,
7
+ "eval_steps_per_second": 6.485
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": 2.065115170003517,
5
+ "train_runtime": 33403.3218,
6
+ "train_samples_per_second": 111.824,
7
+ "train_steps_per_second": 0.559
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": 2.7764830589294434,
14
+ "learning_rate": 9.001607717041802e-06,
15
+ "loss": 2.4298,
16
+ "step": 1866
17
+ },
18
+ {
19
+ "epoch": 5.992292870905588,
20
+ "eval_accuracy": 0.043435941112057425,
21
+ "eval_loss": 3.7282466888427734,
22
+ "eval_runtime": 31.9019,
23
+ "eval_samples_per_second": 257.634,
24
+ "eval_steps_per_second": 6.457,
25
+ "step": 1866
26
+ },
27
+ {
28
+ "epoch": 11.984585741811175,
29
+ "grad_norm": 4.700397491455078,
30
+ "learning_rate": 8.001607717041802e-06,
31
+ "loss": 2.246,
32
+ "step": 3732
33
+ },
34
+ {
35
+ "epoch": 11.984585741811175,
36
+ "eval_accuracy": 0.037899987833069713,
37
+ "eval_loss": 3.9666006565093994,
38
+ "eval_runtime": 31.9111,
39
+ "eval_samples_per_second": 257.559,
40
+ "eval_steps_per_second": 6.455,
41
+ "step": 3732
42
+ },
43
+ {
44
+ "epoch": 17.976878612716764,
45
+ "grad_norm": 11.175146102905273,
46
+ "learning_rate": 7.002143622722402e-06,
47
+ "loss": 2.1293,
48
+ "step": 5598
49
+ },
50
+ {
51
+ "epoch": 17.976878612716764,
52
+ "eval_accuracy": 0.03601411363912885,
53
+ "eval_loss": 4.101926326751709,
54
+ "eval_runtime": 31.9673,
55
+ "eval_samples_per_second": 257.106,
56
+ "eval_steps_per_second": 6.444,
57
+ "step": 5598
58
+ },
59
+ {
60
+ "epoch": 23.96917148362235,
61
+ "grad_norm": 4.427066802978516,
62
+ "learning_rate": 6.002143622722402e-06,
63
+ "loss": 2.0539,
64
+ "step": 7464
65
+ },
66
+ {
67
+ "epoch": 23.96917148362235,
68
+ "eval_accuracy": 0.03516242851928458,
69
+ "eval_loss": 4.282138824462891,
70
+ "eval_runtime": 31.8094,
71
+ "eval_samples_per_second": 258.383,
72
+ "eval_steps_per_second": 6.476,
73
+ "step": 7464
74
+ },
75
+ {
76
+ "epoch": 29.961464354527937,
77
+ "grad_norm": 9.087589263916016,
78
+ "learning_rate": 5.002679528403002e-06,
79
+ "loss": 2.0135,
80
+ "step": 9330
81
+ },
82
+ {
83
+ "epoch": 29.961464354527937,
84
+ "eval_accuracy": 0.03452974814454313,
85
+ "eval_loss": 4.331849575042725,
86
+ "eval_runtime": 31.6904,
87
+ "eval_samples_per_second": 259.353,
88
+ "eval_steps_per_second": 6.5,
89
+ "step": 9330
90
+ },
91
+ {
92
+ "epoch": 35.95375722543353,
93
+ "grad_norm": 5.957192420959473,
94
+ "learning_rate": 4.003215434083601e-06,
95
+ "loss": 1.9879,
96
+ "step": 11196
97
+ },
98
+ {
99
+ "epoch": 35.95375722543353,
100
+ "eval_accuracy": 0.03414851766232713,
101
+ "eval_loss": 4.370044708251953,
102
+ "eval_runtime": 31.7505,
103
+ "eval_samples_per_second": 258.862,
104
+ "eval_steps_per_second": 6.488,
105
+ "step": 11196
106
+ },
107
+ {
108
+ "epoch": 41.946050096339114,
109
+ "grad_norm": 3.3914530277252197,
110
+ "learning_rate": 3.003215434083602e-06,
111
+ "loss": 1.9648,
112
+ "step": 13062
113
+ },
114
+ {
115
+ "epoch": 41.946050096339114,
116
+ "eval_accuracy": 0.03413693010967619,
117
+ "eval_loss": 4.461861610412598,
118
+ "eval_runtime": 31.7169,
119
+ "eval_samples_per_second": 259.137,
120
+ "eval_steps_per_second": 6.495,
121
+ "step": 13062
122
+ },
123
+ {
124
+ "epoch": 47.9383429672447,
125
+ "grad_norm": 5.636336326599121,
126
+ "learning_rate": 2.0037513397642016e-06,
127
+ "loss": 1.9495,
128
+ "step": 14928
129
+ },
130
+ {
131
+ "epoch": 47.9383429672447,
132
+ "eval_accuracy": 0.03411303078233362,
133
+ "eval_loss": 4.5998759269714355,
134
+ "eval_runtime": 31.8541,
135
+ "eval_samples_per_second": 258.02,
136
+ "eval_steps_per_second": 6.467,
137
+ "step": 14928
138
+ },
139
+ {
140
+ "epoch": 53.93063583815029,
141
+ "grad_norm": 1.326487421989441,
142
+ "learning_rate": 1.0042872454448018e-06,
143
+ "loss": 1.9391,
144
+ "step": 16794
145
+ },
146
+ {
147
+ "epoch": 53.93063583815029,
148
+ "eval_accuracy": 0.03390517905665734,
149
+ "eval_loss": 4.680637359619141,
150
+ "eval_runtime": 32.1441,
151
+ "eval_samples_per_second": 255.692,
152
+ "eval_steps_per_second": 6.409,
153
+ "step": 16794
154
+ },
155
+ {
156
+ "epoch": 59.922928709055874,
157
+ "grad_norm": 2.050564765930176,
158
+ "learning_rate": 4.82315112540193e-09,
159
+ "loss": 1.9372,
160
+ "step": 18660
161
+ },
162
+ {
163
+ "epoch": 59.922928709055874,
164
+ "eval_accuracy": 0.03361722837328142,
165
+ "eval_loss": 4.748708724975586,
166
+ "eval_runtime": 31.9078,
167
+ "eval_samples_per_second": 257.586,
168
+ "eval_steps_per_second": 6.456,
169
+ "step": 18660
170
+ },
171
+ {
172
+ "epoch": 59.922928709055874,
173
+ "step": 18660,
174
+ "total_flos": 1.4737892295759744e+18,
175
+ "train_loss": 2.065115170003517,
176
+ "train_runtime": 33403.3218,
177
+ "train_samples_per_second": 111.824,
178
+ "train_steps_per_second": 0.559
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