cogsci13 commited on
Commit
59a4540
·
verified ·
1 Parent(s): e8f7128

🍻 cheers

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +9 -9
  3. eval_results.json +5 -5
  4. train_results.json +4 -4
  5. trainer_state.json +67 -67
README.md CHANGED
@@ -2,6 +2,7 @@
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # vit-base-beans
17
 
18
- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0127
21
  - Accuracy: 1.0
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
5
+ - image-classification
6
  - generated_from_trainer
7
  metrics:
8
  - accuracy
 
16
 
17
  # vit-base-beans
18
 
19
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.0127
22
  - Accuracy: 1.0
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 4.0,
3
- "eval_accuracy": 0.9924812030075187,
4
- "eval_loss": 0.022105108946561813,
5
- "eval_runtime": 1.7561,
6
- "eval_samples_per_second": 75.737,
7
- "eval_steps_per_second": 9.681,
8
  "total_flos": 3.205097416476426e+17,
9
- "train_loss": 0.11380191872326227,
10
- "train_runtime": 79.0957,
11
- "train_samples_per_second": 52.291,
12
- "train_steps_per_second": 3.287
13
  }
 
1
  {
2
  "epoch": 4.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 0.012702367268502712,
5
+ "eval_runtime": 1.7757,
6
+ "eval_samples_per_second": 74.899,
7
+ "eval_steps_per_second": 9.574,
8
  "total_flos": 3.205097416476426e+17,
9
+ "train_loss": 0.11755287733215553,
10
+ "train_runtime": 95.4129,
11
+ "train_samples_per_second": 43.348,
12
+ "train_steps_per_second": 2.725
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 4.0,
3
- "eval_accuracy": 0.9924812030075187,
4
- "eval_loss": 0.022105108946561813,
5
- "eval_runtime": 1.7561,
6
- "eval_samples_per_second": 75.737,
7
- "eval_steps_per_second": 9.681
8
  }
 
1
  {
2
  "epoch": 4.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 0.012702367268502712,
5
+ "eval_runtime": 1.7757,
6
+ "eval_samples_per_second": 74.899,
7
+ "eval_steps_per_second": 9.574
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 4.0,
3
  "total_flos": 3.205097416476426e+17,
4
- "train_loss": 0.11380191872326227,
5
- "train_runtime": 79.0957,
6
- "train_samples_per_second": 52.291,
7
- "train_steps_per_second": 3.287
8
  }
 
1
  {
2
  "epoch": 4.0,
3
  "total_flos": 3.205097416476426e+17,
4
+ "train_loss": 0.11755287733215553,
5
+ "train_runtime": 95.4129,
6
+ "train_samples_per_second": 43.348,
7
+ "train_steps_per_second": 2.725
8
  }
trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 0.022105108946561813,
3
  "best_model_checkpoint": "./vit-base-beans/checkpoint-200",
4
  "epoch": 4.0,
5
  "eval_steps": 100,
@@ -10,212 +10,212 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.15,
13
- "grad_norm": 1.248571515083313,
14
  "learning_rate": 0.00019230769230769233,
15
- "loss": 0.724,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.31,
20
- "grad_norm": 2.3788352012634277,
21
  "learning_rate": 0.00018461538461538463,
22
- "loss": 0.2693,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.46,
27
- "grad_norm": 3.0690412521362305,
28
  "learning_rate": 0.00017692307692307693,
29
- "loss": 0.2057,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.62,
34
- "grad_norm": 5.163357257843018,
35
  "learning_rate": 0.00016923076923076923,
36
- "loss": 0.2455,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.77,
41
- "grad_norm": 1.3465059995651245,
42
  "learning_rate": 0.00016153846153846155,
43
- "loss": 0.13,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 0.92,
48
- "grad_norm": 1.7656354904174805,
49
  "learning_rate": 0.00015384615384615385,
50
- "loss": 0.2854,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.08,
55
- "grad_norm": 3.6763484477996826,
56
  "learning_rate": 0.00014615384615384615,
57
- "loss": 0.1867,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.23,
62
- "grad_norm": 0.21904461085796356,
63
  "learning_rate": 0.00013846153846153847,
64
- "loss": 0.132,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.38,
69
- "grad_norm": 0.25529107451438904,
70
  "learning_rate": 0.00013076923076923077,
71
- "loss": 0.0762,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.54,
76
- "grad_norm": 1.4750274419784546,
77
  "learning_rate": 0.0001230769230769231,
78
- "loss": 0.0717,
79
  "step": 100
80
  },
81
  {
82
  "epoch": 1.54,
83
- "eval_accuracy": 1.0,
84
- "eval_loss": 0.03406519070267677,
85
- "eval_runtime": 1.8018,
86
- "eval_samples_per_second": 73.813,
87
- "eval_steps_per_second": 9.435,
88
  "step": 100
89
  },
90
  {
91
  "epoch": 1.69,
92
- "grad_norm": 1.6858314275741577,
93
  "learning_rate": 0.00011538461538461538,
94
- "loss": 0.1123,
95
  "step": 110
96
  },
97
  {
98
  "epoch": 1.85,
99
- "grad_norm": 2.8304824829101562,
100
  "learning_rate": 0.0001076923076923077,
101
- "loss": 0.1281,
102
  "step": 120
103
  },
104
  {
105
  "epoch": 2.0,
106
- "grad_norm": 0.1025494933128357,
107
  "learning_rate": 0.0001,
108
- "loss": 0.0345,
109
  "step": 130
110
  },
111
  {
112
  "epoch": 2.15,
113
- "grad_norm": 0.08757635951042175,
114
  "learning_rate": 9.230769230769232e-05,
115
- "loss": 0.0815,
116
  "step": 140
117
  },
118
  {
119
  "epoch": 2.31,
120
- "grad_norm": 4.281369686126709,
121
  "learning_rate": 8.461538461538461e-05,
122
- "loss": 0.0501,
123
  "step": 150
124
  },
125
  {
126
  "epoch": 2.46,
127
- "grad_norm": 0.11551445722579956,
128
  "learning_rate": 7.692307692307693e-05,
129
- "loss": 0.0401,
130
  "step": 160
131
  },
132
  {
133
  "epoch": 2.62,
134
- "grad_norm": 2.2672688961029053,
135
  "learning_rate": 6.923076923076924e-05,
136
- "loss": 0.0211,
137
  "step": 170
138
  },
139
  {
140
  "epoch": 2.77,
141
- "grad_norm": 0.12683047354221344,
142
  "learning_rate": 6.153846153846155e-05,
143
- "loss": 0.0387,
144
  "step": 180
145
  },
146
  {
147
  "epoch": 2.92,
148
- "grad_norm": 2.012118339538574,
149
  "learning_rate": 5.384615384615385e-05,
150
- "loss": 0.0165,
151
  "step": 190
152
  },
153
  {
154
  "epoch": 3.08,
155
- "grad_norm": 0.06524123251438141,
156
  "learning_rate": 4.615384615384616e-05,
157
- "loss": 0.038,
158
  "step": 200
159
  },
160
  {
161
  "epoch": 3.08,
162
- "eval_accuracy": 0.9924812030075187,
163
- "eval_loss": 0.022105108946561813,
164
- "eval_runtime": 1.7507,
165
- "eval_samples_per_second": 75.968,
166
- "eval_steps_per_second": 9.71,
167
  "step": 200
168
  },
169
  {
170
  "epoch": 3.23,
171
- "grad_norm": 0.06961577385663986,
172
  "learning_rate": 3.846153846153846e-05,
173
- "loss": 0.0139,
174
  "step": 210
175
  },
176
  {
177
  "epoch": 3.38,
178
- "grad_norm": 0.0649501383304596,
179
  "learning_rate": 3.0769230769230774e-05,
180
- "loss": 0.0117,
181
  "step": 220
182
  },
183
  {
184
  "epoch": 3.54,
185
- "grad_norm": 0.06359098851680756,
186
  "learning_rate": 2.307692307692308e-05,
187
- "loss": 0.0123,
188
  "step": 230
189
  },
190
  {
191
  "epoch": 3.69,
192
- "grad_norm": 0.07035394012928009,
193
  "learning_rate": 1.5384615384615387e-05,
194
- "loss": 0.0111,
195
  "step": 240
196
  },
197
  {
198
  "epoch": 3.85,
199
- "grad_norm": 0.07381828874349594,
200
  "learning_rate": 7.692307692307694e-06,
201
- "loss": 0.0113,
202
  "step": 250
203
  },
204
  {
205
  "epoch": 4.0,
206
- "grad_norm": 0.05646485462784767,
207
  "learning_rate": 0.0,
208
- "loss": 0.0112,
209
  "step": 260
210
  },
211
  {
212
  "epoch": 4.0,
213
  "step": 260,
214
  "total_flos": 3.205097416476426e+17,
215
- "train_loss": 0.11380191872326227,
216
- "train_runtime": 79.0957,
217
- "train_samples_per_second": 52.291,
218
- "train_steps_per_second": 3.287
219
  }
220
  ],
221
  "logging_steps": 10,
 
1
  {
2
+ "best_metric": 0.012702367268502712,
3
  "best_model_checkpoint": "./vit-base-beans/checkpoint-200",
4
  "epoch": 4.0,
5
  "eval_steps": 100,
 
10
  "log_history": [
11
  {
12
  "epoch": 0.15,
13
+ "grad_norm": 1.5160256624221802,
14
  "learning_rate": 0.00019230769230769233,
15
+ "loss": 0.8461,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.31,
20
+ "grad_norm": 1.1838645935058594,
21
  "learning_rate": 0.00018461538461538463,
22
+ "loss": 0.3715,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.46,
27
+ "grad_norm": 1.8937193155288696,
28
  "learning_rate": 0.00017692307692307693,
29
+ "loss": 0.354,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.62,
34
+ "grad_norm": 1.1941872835159302,
35
  "learning_rate": 0.00016923076923076923,
36
+ "loss": 0.2516,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.77,
41
+ "grad_norm": 1.9662144184112549,
42
  "learning_rate": 0.00016153846153846155,
43
+ "loss": 0.1664,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 0.92,
48
+ "grad_norm": 8.811502456665039,
49
  "learning_rate": 0.00015384615384615385,
50
+ "loss": 0.2074,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.08,
55
+ "grad_norm": 0.2282760590314865,
56
  "learning_rate": 0.00014615384615384615,
57
+ "loss": 0.0974,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.23,
62
+ "grad_norm": 0.1650390475988388,
63
  "learning_rate": 0.00013846153846153847,
64
+ "loss": 0.1168,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.38,
69
+ "grad_norm": 2.3822529315948486,
70
  "learning_rate": 0.00013076923076923077,
71
+ "loss": 0.0462,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.54,
76
+ "grad_norm": 0.11838462203741074,
77
  "learning_rate": 0.0001230769230769231,
78
+ "loss": 0.0666,
79
  "step": 100
80
  },
81
  {
82
  "epoch": 1.54,
83
+ "eval_accuracy": 0.9924812030075187,
84
+ "eval_loss": 0.032394178211688995,
85
+ "eval_runtime": 1.7903,
86
+ "eval_samples_per_second": 74.288,
87
+ "eval_steps_per_second": 9.496,
88
  "step": 100
89
  },
90
  {
91
  "epoch": 1.69,
92
+ "grad_norm": 3.3664941787719727,
93
  "learning_rate": 0.00011538461538461538,
94
+ "loss": 0.0599,
95
  "step": 110
96
  },
97
  {
98
  "epoch": 1.85,
99
+ "grad_norm": 0.16068458557128906,
100
  "learning_rate": 0.0001076923076923077,
101
+ "loss": 0.0993,
102
  "step": 120
103
  },
104
  {
105
  "epoch": 2.0,
106
+ "grad_norm": 0.11501188576221466,
107
  "learning_rate": 0.0001,
108
+ "loss": 0.071,
109
  "step": 130
110
  },
111
  {
112
  "epoch": 2.15,
113
+ "grad_norm": 0.16083480417728424,
114
  "learning_rate": 9.230769230769232e-05,
115
+ "loss": 0.0664,
116
  "step": 140
117
  },
118
  {
119
  "epoch": 2.31,
120
+ "grad_norm": 0.5593019127845764,
121
  "learning_rate": 8.461538461538461e-05,
122
+ "loss": 0.0469,
123
  "step": 150
124
  },
125
  {
126
  "epoch": 2.46,
127
+ "grad_norm": 1.1808232069015503,
128
  "learning_rate": 7.692307692307693e-05,
129
+ "loss": 0.0184,
130
  "step": 160
131
  },
132
  {
133
  "epoch": 2.62,
134
+ "grad_norm": 0.12332643568515778,
135
  "learning_rate": 6.923076923076924e-05,
136
+ "loss": 0.0301,
137
  "step": 170
138
  },
139
  {
140
  "epoch": 2.77,
141
+ "grad_norm": 0.06919372081756592,
142
  "learning_rate": 6.153846153846155e-05,
143
+ "loss": 0.0414,
144
  "step": 180
145
  },
146
  {
147
  "epoch": 2.92,
148
+ "grad_norm": 0.06933612376451492,
149
  "learning_rate": 5.384615384615385e-05,
150
+ "loss": 0.0137,
151
  "step": 190
152
  },
153
  {
154
  "epoch": 3.08,
155
+ "grad_norm": 0.06432632356882095,
156
  "learning_rate": 4.615384615384616e-05,
157
+ "loss": 0.0164,
158
  "step": 200
159
  },
160
  {
161
  "epoch": 3.08,
162
+ "eval_accuracy": 1.0,
163
+ "eval_loss": 0.012702367268502712,
164
+ "eval_runtime": 1.7615,
165
+ "eval_samples_per_second": 75.505,
166
+ "eval_steps_per_second": 9.651,
167
  "step": 200
168
  },
169
  {
170
  "epoch": 3.23,
171
+ "grad_norm": 0.05967758223414421,
172
  "learning_rate": 3.846153846153846e-05,
173
+ "loss": 0.0122,
174
  "step": 210
175
  },
176
  {
177
  "epoch": 3.38,
178
+ "grad_norm": 0.06129758059978485,
179
  "learning_rate": 3.0769230769230774e-05,
180
+ "loss": 0.0118,
181
  "step": 220
182
  },
183
  {
184
  "epoch": 3.54,
185
+ "grad_norm": 0.06324906647205353,
186
  "learning_rate": 2.307692307692308e-05,
187
+ "loss": 0.0114,
188
  "step": 230
189
  },
190
  {
191
  "epoch": 3.69,
192
+ "grad_norm": 0.0768633708357811,
193
  "learning_rate": 1.5384615384615387e-05,
194
+ "loss": 0.0114,
195
  "step": 240
196
  },
197
  {
198
  "epoch": 3.85,
199
+ "grad_norm": 0.05912179872393608,
200
  "learning_rate": 7.692307692307694e-06,
201
+ "loss": 0.011,
202
  "step": 250
203
  },
204
  {
205
  "epoch": 4.0,
206
+ "grad_norm": 0.05486920475959778,
207
  "learning_rate": 0.0,
208
+ "loss": 0.0111,
209
  "step": 260
210
  },
211
  {
212
  "epoch": 4.0,
213
  "step": 260,
214
  "total_flos": 3.205097416476426e+17,
215
+ "train_loss": 0.11755287733215553,
216
+ "train_runtime": 95.4129,
217
+ "train_samples_per_second": 43.348,
218
+ "train_steps_per_second": 2.725
219
  }
220
  ],
221
  "logging_steps": 10,