Countigo commited on
Commit
c7ae744
·
verified ·
1 Parent(s): a782885

End of training

Browse files
Files changed (5) hide show
  1. README.md +3 -1
  2. all_results.json +8 -8
  3. eval_results.json +4 -4
  4. train_results.json +4 -4
  5. trainer_state.json +54 -54
README.md CHANGED
@@ -2,6 +2,8 @@
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 +17,7 @@ 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: 0.2272
21
  - Accuracy: 0.9699
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
5
+ - image-classification
6
+ - vision
7
  - generated_from_trainer
8
  metrics:
9
  - accuracy
 
17
 
18
  # vit-base-beans
19
 
20
+ 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.
21
  It achieves the following results on the evaluation set:
22
  - Loss: 0.2272
23
  - Accuracy: 0.9699
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 7.0,
3
  "eval_accuracy": 0.9699248120300752,
4
- "eval_loss": 0.22653304040431976,
5
- "eval_runtime": 5.9117,
6
- "eval_samples_per_second": 22.498,
7
- "eval_steps_per_second": 0.507,
8
  "total_flos": 5.608920478833746e+17,
9
- "train_loss": 0.4664680296633424,
10
- "train_runtime": 551.2895,
11
- "train_samples_per_second": 13.129,
12
- "train_steps_per_second": 0.216
13
  }
 
1
  {
2
  "epoch": 7.0,
3
  "eval_accuracy": 0.9699248120300752,
4
+ "eval_loss": 0.22723796963691711,
5
+ "eval_runtime": 4.9743,
6
+ "eval_samples_per_second": 26.737,
7
+ "eval_steps_per_second": 0.603,
8
  "total_flos": 5.608920478833746e+17,
9
+ "train_loss": 0.46667203782987193,
10
+ "train_runtime": 402.2426,
11
+ "train_samples_per_second": 17.994,
12
+ "train_steps_per_second": 0.296
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 7.0,
3
  "eval_accuracy": 0.9699248120300752,
4
- "eval_loss": 0.22653304040431976,
5
- "eval_runtime": 5.9117,
6
- "eval_samples_per_second": 22.498,
7
- "eval_steps_per_second": 0.507
8
  }
 
1
  {
2
  "epoch": 7.0,
3
  "eval_accuracy": 0.9699248120300752,
4
+ "eval_loss": 0.22723796963691711,
5
+ "eval_runtime": 4.9743,
6
+ "eval_samples_per_second": 26.737,
7
+ "eval_steps_per_second": 0.603
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 7.0,
3
  "total_flos": 5.608920478833746e+17,
4
- "train_loss": 0.4664680296633424,
5
- "train_runtime": 551.2895,
6
- "train_samples_per_second": 13.129,
7
- "train_steps_per_second": 0.216
8
  }
 
1
  {
2
  "epoch": 7.0,
3
  "total_flos": 5.608920478833746e+17,
4
+ "train_loss": 0.46667203782987193,
5
+ "train_runtime": 402.2426,
6
+ "train_samples_per_second": 17.994,
7
+ "train_steps_per_second": 0.296
8
  }
trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 0.22653304040431976,
3
  "best_model_checkpoint": "./beans_outputs/checkpoint-119",
4
  "epoch": 7.0,
5
  "eval_steps": 500,
@@ -10,7 +10,7 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.5882352941176471,
13
- "grad_norm": 1.3733673095703125,
14
  "learning_rate": 1.831932773109244e-05,
15
  "loss": 0.9859,
16
  "step": 10
@@ -18,144 +18,144 @@
18
  {
19
  "epoch": 1.0,
20
  "eval_accuracy": 0.9323308270676691,
21
- "eval_loss": 0.7493444681167603,
22
- "eval_runtime": 6.3127,
23
- "eval_samples_per_second": 21.069,
24
- "eval_steps_per_second": 0.475,
25
  "step": 17
26
  },
27
  {
28
  "epoch": 1.1764705882352942,
29
- "grad_norm": 1.184097409248352,
30
  "learning_rate": 1.6638655462184877e-05,
31
- "loss": 0.808,
32
  "step": 20
33
  },
34
  {
35
  "epoch": 1.7647058823529411,
36
- "grad_norm": 1.149975299835205,
37
  "learning_rate": 1.4957983193277313e-05,
38
- "loss": 0.6766,
39
  "step": 30
40
  },
41
  {
42
  "epoch": 2.0,
43
  "eval_accuracy": 0.9624060150375939,
44
- "eval_loss": 0.529090940952301,
45
- "eval_runtime": 6.2922,
46
- "eval_samples_per_second": 21.137,
47
- "eval_steps_per_second": 0.477,
48
  "step": 34
49
  },
50
  {
51
  "epoch": 2.3529411764705883,
52
- "grad_norm": 1.216352939605713,
53
  "learning_rate": 1.3277310924369749e-05,
54
- "loss": 0.55,
55
  "step": 40
56
  },
57
  {
58
  "epoch": 2.9411764705882355,
59
- "grad_norm": 1.0173835754394531,
60
  "learning_rate": 1.1596638655462186e-05,
61
- "loss": 0.4604,
62
  "step": 50
63
  },
64
  {
65
  "epoch": 3.0,
66
  "eval_accuracy": 0.9624060150375939,
67
- "eval_loss": 0.37185198068618774,
68
- "eval_runtime": 6.6034,
69
- "eval_samples_per_second": 20.141,
70
- "eval_steps_per_second": 0.454,
71
  "step": 51
72
  },
73
  {
74
  "epoch": 3.5294117647058822,
75
- "grad_norm": 1.165634274482727,
76
  "learning_rate": 9.915966386554622e-06,
77
- "loss": 0.404,
78
  "step": 60
79
  },
80
  {
81
  "epoch": 4.0,
82
  "eval_accuracy": 0.9699248120300752,
83
- "eval_loss": 0.29681986570358276,
84
- "eval_runtime": 7.3605,
85
- "eval_samples_per_second": 18.069,
86
- "eval_steps_per_second": 0.408,
87
  "step": 68
88
  },
89
  {
90
  "epoch": 4.117647058823529,
91
- "grad_norm": 1.0317189693450928,
92
  "learning_rate": 8.23529411764706e-06,
93
- "loss": 0.326,
94
  "step": 70
95
  },
96
  {
97
  "epoch": 4.705882352941177,
98
- "grad_norm": 1.5363612174987793,
99
  "learning_rate": 6.5546218487394966e-06,
100
- "loss": 0.3168,
101
  "step": 80
102
  },
103
  {
104
  "epoch": 5.0,
105
  "eval_accuracy": 0.9699248120300752,
106
- "eval_loss": 0.2534410059452057,
107
- "eval_runtime": 6.7412,
108
- "eval_samples_per_second": 19.73,
109
- "eval_steps_per_second": 0.445,
110
  "step": 85
111
  },
112
  {
113
  "epoch": 5.294117647058823,
114
- "grad_norm": 1.0671030282974243,
115
  "learning_rate": 4.873949579831933e-06,
116
- "loss": 0.2769,
117
  "step": 90
118
  },
119
  {
120
  "epoch": 5.882352941176471,
121
- "grad_norm": 0.8577371835708618,
122
  "learning_rate": 3.1932773109243696e-06,
123
- "loss": 0.254,
124
  "step": 100
125
  },
126
  {
127
  "epoch": 6.0,
128
  "eval_accuracy": 0.9774436090225563,
129
- "eval_loss": 0.22781571745872498,
130
- "eval_runtime": 7.0586,
131
- "eval_samples_per_second": 18.842,
132
- "eval_steps_per_second": 0.425,
133
  "step": 102
134
  },
135
  {
136
  "epoch": 6.470588235294118,
137
- "grad_norm": 1.0884819030761719,
138
  "learning_rate": 1.5126050420168068e-06,
139
- "loss": 0.263,
140
  "step": 110
141
  },
142
  {
143
  "epoch": 7.0,
144
  "eval_accuracy": 0.9699248120300752,
145
- "eval_loss": 0.22653304040431976,
146
- "eval_runtime": 6.2522,
147
- "eval_samples_per_second": 21.272,
148
- "eval_steps_per_second": 0.48,
149
  "step": 119
150
  },
151
  {
152
  "epoch": 7.0,
153
  "step": 119,
154
  "total_flos": 5.608920478833746e+17,
155
- "train_loss": 0.4664680296633424,
156
- "train_runtime": 551.2895,
157
- "train_samples_per_second": 13.129,
158
- "train_steps_per_second": 0.216
159
  }
160
  ],
161
  "logging_steps": 10,
 
1
  {
2
+ "best_metric": 0.22723796963691711,
3
  "best_model_checkpoint": "./beans_outputs/checkpoint-119",
4
  "epoch": 7.0,
5
  "eval_steps": 500,
 
10
  "log_history": [
11
  {
12
  "epoch": 0.5882352941176471,
13
+ "grad_norm": 1.3763134479522705,
14
  "learning_rate": 1.831932773109244e-05,
15
  "loss": 0.9859,
16
  "step": 10
 
18
  {
19
  "epoch": 1.0,
20
  "eval_accuracy": 0.9323308270676691,
21
+ "eval_loss": 0.7491587996482849,
22
+ "eval_runtime": 5.0252,
23
+ "eval_samples_per_second": 26.467,
24
+ "eval_steps_per_second": 0.597,
25
  "step": 17
26
  },
27
  {
28
  "epoch": 1.1764705882352942,
29
+ "grad_norm": 1.1917294263839722,
30
  "learning_rate": 1.6638655462184877e-05,
31
+ "loss": 0.8079,
32
  "step": 20
33
  },
34
  {
35
  "epoch": 1.7647058823529411,
36
+ "grad_norm": 1.144236445426941,
37
  "learning_rate": 1.4957983193277313e-05,
38
+ "loss": 0.6764,
39
  "step": 30
40
  },
41
  {
42
  "epoch": 2.0,
43
  "eval_accuracy": 0.9624060150375939,
44
+ "eval_loss": 0.5274316668510437,
45
+ "eval_runtime": 5.1613,
46
+ "eval_samples_per_second": 25.769,
47
+ "eval_steps_per_second": 0.581,
48
  "step": 34
49
  },
50
  {
51
  "epoch": 2.3529411764705883,
52
+ "grad_norm": 1.2157258987426758,
53
  "learning_rate": 1.3277310924369749e-05,
54
+ "loss": 0.5491,
55
  "step": 40
56
  },
57
  {
58
  "epoch": 2.9411764705882355,
59
+ "grad_norm": 1.031990885734558,
60
  "learning_rate": 1.1596638655462186e-05,
61
+ "loss": 0.4601,
62
  "step": 50
63
  },
64
  {
65
  "epoch": 3.0,
66
  "eval_accuracy": 0.9624060150375939,
67
+ "eval_loss": 0.37144508957862854,
68
+ "eval_runtime": 5.4329,
69
+ "eval_samples_per_second": 24.48,
70
+ "eval_steps_per_second": 0.552,
71
  "step": 51
72
  },
73
  {
74
  "epoch": 3.5294117647058822,
75
+ "grad_norm": 1.2084527015686035,
76
  "learning_rate": 9.915966386554622e-06,
77
+ "loss": 0.4047,
78
  "step": 60
79
  },
80
  {
81
  "epoch": 4.0,
82
  "eval_accuracy": 0.9699248120300752,
83
+ "eval_loss": 0.2976459562778473,
84
+ "eval_runtime": 5.0095,
85
+ "eval_samples_per_second": 26.549,
86
+ "eval_steps_per_second": 0.599,
87
  "step": 68
88
  },
89
  {
90
  "epoch": 4.117647058823529,
91
+ "grad_norm": 1.0828431844711304,
92
  "learning_rate": 8.23529411764706e-06,
93
+ "loss": 0.3269,
94
  "step": 70
95
  },
96
  {
97
  "epoch": 4.705882352941177,
98
+ "grad_norm": 1.3986183404922485,
99
  "learning_rate": 6.5546218487394966e-06,
100
+ "loss": 0.3172,
101
  "step": 80
102
  },
103
  {
104
  "epoch": 5.0,
105
  "eval_accuracy": 0.9699248120300752,
106
+ "eval_loss": 0.25337785482406616,
107
+ "eval_runtime": 5.2266,
108
+ "eval_samples_per_second": 25.447,
109
+ "eval_steps_per_second": 0.574,
110
  "step": 85
111
  },
112
  {
113
  "epoch": 5.294117647058823,
114
+ "grad_norm": 1.0007528066635132,
115
  "learning_rate": 4.873949579831933e-06,
116
+ "loss": 0.2775,
117
  "step": 90
118
  },
119
  {
120
  "epoch": 5.882352941176471,
121
+ "grad_norm": 0.8358347415924072,
122
  "learning_rate": 3.1932773109243696e-06,
123
+ "loss": 0.2545,
124
  "step": 100
125
  },
126
  {
127
  "epoch": 6.0,
128
  "eval_accuracy": 0.9774436090225563,
129
+ "eval_loss": 0.22837479412555695,
130
+ "eval_runtime": 5.7431,
131
+ "eval_samples_per_second": 23.158,
132
+ "eval_steps_per_second": 0.522,
133
  "step": 102
134
  },
135
  {
136
  "epoch": 6.470588235294118,
137
+ "grad_norm": 1.0932303667068481,
138
  "learning_rate": 1.5126050420168068e-06,
139
+ "loss": 0.2632,
140
  "step": 110
141
  },
142
  {
143
  "epoch": 7.0,
144
  "eval_accuracy": 0.9699248120300752,
145
+ "eval_loss": 0.22723796963691711,
146
+ "eval_runtime": 5.0242,
147
+ "eval_samples_per_second": 26.472,
148
+ "eval_steps_per_second": 0.597,
149
  "step": 119
150
  },
151
  {
152
  "epoch": 7.0,
153
  "step": 119,
154
  "total_flos": 5.608920478833746e+17,
155
+ "train_loss": 0.46667203782987193,
156
+ "train_runtime": 402.2426,
157
+ "train_samples_per_second": 17.994,
158
+ "train_steps_per_second": 0.296
159
  }
160
  ],
161
  "logging_steps": 10,