Countigo commited on
Commit
2c97487
·
verified ·
1 Parent(s): fc69cc8

End of training

Browse files
Files changed (5) hide show
  1. README.md +3 -1
  2. all_results.json +11 -11
  3. eval_results.json +6 -6
  4. train_results.json +6 -6
  5. trainer_state.json +22 -107
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: 0.8841
21
  - Accuracy: 0.8647
 
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: 0.8841
23
  - Accuracy: 0.8647
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
- "epoch": 5.0,
3
- "eval_accuracy": 0.9699248120300752,
4
- "eval_loss": 0.3437380790710449,
5
- "eval_runtime": 5.7697,
6
- "eval_samples_per_second": 23.052,
7
- "eval_steps_per_second": 0.52,
8
- "total_flos": 4.006371770595533e+17,
9
- "train_loss": 0.0,
10
- "train_runtime": 0.1392,
11
- "train_samples_per_second": 37137.186,
12
- "train_steps_per_second": 610.573
13
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "eval_accuracy": 0.8646616541353384,
4
+ "eval_loss": 0.8840949535369873,
5
+ "eval_runtime": 13.904,
6
+ "eval_samples_per_second": 9.566,
7
+ "eval_steps_per_second": 0.216,
8
+ "total_flos": 8.012743541191066e+16,
9
+ "train_loss": 0.9630403238184312,
10
+ "train_runtime": 131.2191,
11
+ "train_samples_per_second": 7.88,
12
+ "train_steps_per_second": 0.13
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 5.0,
3
- "eval_accuracy": 0.9699248120300752,
4
- "eval_loss": 0.3437380790710449,
5
- "eval_runtime": 5.7697,
6
- "eval_samples_per_second": 23.052,
7
- "eval_steps_per_second": 0.52
8
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "eval_accuracy": 0.8646616541353384,
4
+ "eval_loss": 0.8840949535369873,
5
+ "eval_runtime": 13.904,
6
+ "eval_samples_per_second": 9.566,
7
+ "eval_steps_per_second": 0.216
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 5.0,
3
- "total_flos": 4.006371770595533e+17,
4
- "train_loss": 0.0,
5
- "train_runtime": 0.1392,
6
- "train_samples_per_second": 37137.186,
7
- "train_steps_per_second": 610.573
8
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "total_flos": 8.012743541191066e+16,
4
+ "train_loss": 0.9630403238184312,
5
+ "train_runtime": 131.2191,
6
+ "train_samples_per_second": 7.88,
7
+ "train_steps_per_second": 0.13
8
  }
trainer_state.json CHANGED
@@ -1,128 +1,43 @@
1
  {
2
- "best_metric": 0.3437380790710449,
3
- "best_model_checkpoint": "./beans_outputs/checkpoint-85",
4
- "epoch": 5.0,
5
  "eval_steps": 500,
6
- "global_step": 85,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
  "epoch": 0.5882352941176471,
13
- "grad_norm": 1.3447251319885254,
14
- "learning_rate": 1.7647058823529414e-05,
15
- "loss": 0.9867,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 1.0,
20
- "eval_accuracy": 0.924812030075188,
21
- "eval_loss": 0.7572891116142273,
22
- "eval_runtime": 2.5634,
23
- "eval_samples_per_second": 51.884,
24
- "eval_steps_per_second": 1.17,
25
  "step": 17
26
  },
27
  {
28
- "epoch": 1.1764705882352942,
29
- "grad_norm": 1.191501259803772,
30
- "learning_rate": 1.5294117647058822e-05,
31
- "loss": 0.8137,
32
- "step": 20
33
- },
34
- {
35
- "epoch": 1.7647058823529411,
36
- "grad_norm": 1.1548258066177368,
37
- "learning_rate": 1.2941176470588238e-05,
38
- "loss": 0.6901,
39
- "step": 30
40
- },
41
- {
42
- "epoch": 2.0,
43
- "eval_accuracy": 0.9624060150375939,
44
- "eval_loss": 0.5546020269393921,
45
- "eval_runtime": 1.7725,
46
- "eval_samples_per_second": 75.037,
47
- "eval_steps_per_second": 1.693,
48
- "step": 34
49
- },
50
- {
51
- "epoch": 2.3529411764705883,
52
- "grad_norm": 1.2297497987747192,
53
- "learning_rate": 1.0588235294117648e-05,
54
- "loss": 0.5758,
55
- "step": 40
56
- },
57
- {
58
- "epoch": 2.9411764705882355,
59
- "grad_norm": 1.0743614435195923,
60
- "learning_rate": 8.23529411764706e-06,
61
- "loss": 0.4983,
62
- "step": 50
63
- },
64
- {
65
- "epoch": 3.0,
66
- "eval_accuracy": 0.9699248120300752,
67
- "eval_loss": 0.4202447533607483,
68
- "eval_runtime": 1.5463,
69
- "eval_samples_per_second": 86.01,
70
- "eval_steps_per_second": 1.94,
71
- "step": 51
72
- },
73
- {
74
- "epoch": 3.5294117647058822,
75
- "grad_norm": 1.227348804473877,
76
- "learning_rate": 5.882352941176471e-06,
77
- "loss": 0.454,
78
- "step": 60
79
- },
80
- {
81
- "epoch": 4.0,
82
- "eval_accuracy": 0.9624060150375939,
83
- "eval_loss": 0.36091482639312744,
84
- "eval_runtime": 1.5527,
85
- "eval_samples_per_second": 85.658,
86
- "eval_steps_per_second": 1.932,
87
- "step": 68
88
- },
89
- {
90
- "epoch": 4.117647058823529,
91
- "grad_norm": 1.0482817888259888,
92
- "learning_rate": 3.529411764705883e-06,
93
- "loss": 0.391,
94
- "step": 70
95
- },
96
- {
97
- "epoch": 4.705882352941177,
98
- "grad_norm": 1.1002055406570435,
99
- "learning_rate": 1.1764705882352942e-06,
100
- "loss": 0.3921,
101
- "step": 80
102
- },
103
- {
104
- "epoch": 5.0,
105
- "eval_accuracy": 0.9699248120300752,
106
- "eval_loss": 0.3437380790710449,
107
- "eval_runtime": 1.5995,
108
- "eval_samples_per_second": 83.153,
109
- "eval_steps_per_second": 1.876,
110
- "step": 85
111
- },
112
- {
113
- "epoch": 5.0,
114
- "step": 85,
115
- "total_flos": 4.006371770595533e+17,
116
- "train_loss": 0.0,
117
- "train_runtime": 0.1392,
118
- "train_samples_per_second": 37137.186,
119
- "train_steps_per_second": 610.573
120
  }
121
  ],
122
  "logging_steps": 10,
123
- "max_steps": 85,
124
  "num_input_tokens_seen": 0,
125
- "num_train_epochs": 5,
126
  "save_steps": 500,
127
  "stateful_callbacks": {
128
  "TrainerControl": {
@@ -136,7 +51,7 @@
136
  "attributes": {}
137
  }
138
  },
139
- "total_flos": 4.006371770595533e+17,
140
  "train_batch_size": 64,
141
  "trial_name": null,
142
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.8840949535369873,
3
+ "best_model_checkpoint": "./beans_outputs/checkpoint-17",
4
+ "epoch": 1.0,
5
  "eval_steps": 500,
6
+ "global_step": 17,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
  "epoch": 0.5882352941176471,
13
+ "grad_norm": 1.3551151752471924,
14
+ "learning_rate": 8.23529411764706e-06,
15
+ "loss": 0.9983,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 1.0,
20
+ "eval_accuracy": 0.8646616541353384,
21
+ "eval_loss": 0.8840949535369873,
22
+ "eval_runtime": 13.6157,
23
+ "eval_samples_per_second": 9.768,
24
+ "eval_steps_per_second": 0.22,
25
  "step": 17
26
  },
27
  {
28
+ "epoch": 1.0,
29
+ "step": 17,
30
+ "total_flos": 8.012743541191066e+16,
31
+ "train_loss": 0.9630403238184312,
32
+ "train_runtime": 131.2191,
33
+ "train_samples_per_second": 7.88,
34
+ "train_steps_per_second": 0.13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
  }
36
  ],
37
  "logging_steps": 10,
38
+ "max_steps": 17,
39
  "num_input_tokens_seen": 0,
40
+ "num_train_epochs": 1,
41
  "save_steps": 500,
42
  "stateful_callbacks": {
43
  "TrainerControl": {
 
51
  "attributes": {}
52
  }
53
  },
54
+ "total_flos": 8.012743541191066e+16,
55
  "train_batch_size": 64,
56
  "trial_name": null,
57
  "trial_params": null