Hugging Face's logo

griffio
/
vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-007

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-007
File size: 4,499 Bytes 
1155cbe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
 
{
  "best_metric": 0.9803571428571428,
  "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-007/checkpoint-50",
  "epoch": 31.90909090909091,
  "eval_steps": 10,
  "global_step": 80,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 3.909090909090909,
      "grad_norm": 23.13675308227539,
      "learning_rate": 1e-05,
      "loss": 1.5474,
      "step": 10
    },
    {
      "epoch": 3.909090909090909,
      "eval_accuracy": 0.5696428571428571,
      "eval_loss": 1.2454607486724854,
      "eval_runtime": 7.4612,
      "eval_samples_per_second": 75.055,
      "eval_steps_per_second": 9.382,
      "step": 10
    },
    {
      "epoch": 7.909090909090909,
      "grad_norm": 19.284276962280273,
      "learning_rate": 8.611111111111112e-06,
      "loss": 0.8254,
      "step": 20
    },
    {
      "epoch": 7.909090909090909,
      "eval_accuracy": 0.8767857142857143,
      "eval_loss": 0.6164689064025879,
      "eval_runtime": 8.5422,
      "eval_samples_per_second": 65.557,
      "eval_steps_per_second": 8.195,
      "step": 20
    },
    {
      "epoch": 11.909090909090908,
      "grad_norm": 16.49819564819336,
      "learning_rate": 7.222222222222223e-06,
      "loss": 0.2878,
      "step": 30
    },
    {
      "epoch": 11.909090909090908,
      "eval_accuracy": 0.9464285714285714,
      "eval_loss": 0.2867428958415985,
      "eval_runtime": 7.9963,
      "eval_samples_per_second": 70.033,
      "eval_steps_per_second": 8.754,
      "step": 30
    },
    {
      "epoch": 15.909090909090908,
      "grad_norm": 21.303470611572266,
      "learning_rate": 5.833333333333334e-06,
      "loss": 0.0848,
      "step": 40
    },
    {
      "epoch": 15.909090909090908,
      "eval_accuracy": 0.9732142857142857,
      "eval_loss": 0.1632217913866043,
      "eval_runtime": 8.3473,
      "eval_samples_per_second": 67.088,
      "eval_steps_per_second": 8.386,
      "step": 40
    },
    {
      "epoch": 19.90909090909091,
      "grad_norm": 1.3407821655273438,
      "learning_rate": 4.444444444444444e-06,
      "loss": 0.0235,
      "step": 50
    },
    {
      "epoch": 19.90909090909091,
      "eval_accuracy": 0.9803571428571428,
      "eval_loss": 0.10389769822359085,
      "eval_runtime": 7.4794,
      "eval_samples_per_second": 74.872,
      "eval_steps_per_second": 9.359,
      "step": 50
    },
    {
      "epoch": 23.90909090909091,
      "grad_norm": 0.5087811350822449,
      "learning_rate": 3.055555555555556e-06,
      "loss": 0.0077,
      "step": 60
    },
    {
      "epoch": 23.90909090909091,
      "eval_accuracy": 0.9714285714285714,
      "eval_loss": 0.08780629187822342,
      "eval_runtime": 8.6162,
      "eval_samples_per_second": 64.994,
      "eval_steps_per_second": 8.124,
      "step": 60
    },
    {
      "epoch": 27.90909090909091,
      "grad_norm": 0.22263120114803314,
      "learning_rate": 1.6666666666666667e-06,
      "loss": 0.0038,
      "step": 70
    },
    {
      "epoch": 27.90909090909091,
      "eval_accuracy": 0.9696428571428571,
      "eval_loss": 0.08838720619678497,
      "eval_runtime": 8.1691,
      "eval_samples_per_second": 68.551,
      "eval_steps_per_second": 8.569,
      "step": 70
    },
    {
      "epoch": 31.90909090909091,
      "grad_norm": 0.15753118693828583,
      "learning_rate": 2.7777777777777776e-07,
      "loss": 0.0027,
      "step": 80
    },
    {
      "epoch": 31.90909090909091,
      "eval_accuracy": 0.9714285714285714,
      "eval_loss": 0.08130071312189102,
      "eval_runtime": 8.1162,
      "eval_samples_per_second": 68.998,
      "eval_steps_per_second": 8.625,
      "step": 80
    },
    {
      "epoch": 31.90909090909091,
      "step": 80,
      "total_flos": 7.012786101918106e+17,
      "train_loss": 0.3478837160393596,
      "train_runtime": 509.7037,
      "train_samples_per_second": 6.435,
      "train_steps_per_second": 0.157
    }
  ],
  "logging_steps": 10,
  "max_steps": 80,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 40,
  "save_steps": 10,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 7.012786101918106e+17,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}