griffio commited on
Commit
348a926
·
verified ·
1 Parent(s): 480f245

dungeon-geo-morphs

Browse files
README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: google/vit-large-patch16-224
5
  tags:
 
6
  - generated_from_trainer
7
  datasets:
8
  - imagefolder
@@ -15,7 +16,7 @@ model-index:
15
  name: Image Classification
16
  type: image-classification
17
  dataset:
18
- name: imagefolder
19
  type: imagefolder
20
  config: default
21
  split: validation
@@ -23,7 +24,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9625
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  # vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-010
33
 
34
- This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.1058
37
- - Accuracy: 0.9625
38
 
39
  ## Model description
40
 
 
3
  license: apache-2.0
4
  base_model: google/vit-large-patch16-224
5
  tags:
6
+ - image-classification
7
  - generated_from_trainer
8
  datasets:
9
  - imagefolder
 
16
  name: Image Classification
17
  type: image-classification
18
  dataset:
19
+ name: dungeon-geo-morphs
20
  type: imagefolder
21
  config: default
22
  split: validation
 
24
  metrics:
25
  - name: Accuracy
26
  type: accuracy
27
+ value: 0.9660714285714286
28
  ---
29
 
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  # vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-010
34
 
35
+ This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
36
  It achieves the following results on the evaluation set:
37
+ - Loss: 0.1486
38
+ - Accuracy: 0.9661
39
 
40
  ## Model description
41
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.90909090909091,
3
+ "eval_accuracy": 0.9660714285714286,
4
+ "eval_loss": 0.1486058533191681,
5
+ "eval_runtime": 8.2222,
6
+ "eval_samples_per_second": 68.109,
7
+ "eval_steps_per_second": 8.514,
8
+ "total_flos": 5.259589576438579e+17,
9
+ "train_loss": 0.2924559221913417,
10
+ "train_runtime": 346.8638,
11
+ "train_samples_per_second": 7.092,
12
+ "train_steps_per_second": 0.173
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.90909090909091,
3
+ "eval_accuracy": 0.9660714285714286,
4
+ "eval_loss": 0.1486058533191681,
5
+ "eval_runtime": 8.2222,
6
+ "eval_samples_per_second": 68.109,
7
+ "eval_steps_per_second": 8.514
8
+ }
runs/Nov30_17-11-21_094335fe6bc9/events.out.tfevents.1732987151.094335fe6bc9.251.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f35ba44bc61cde74cb5fd44fae09e04f27c3acbd2d2599bde9f132f610f15e5
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.90909090909091,
3
+ "total_flos": 5.259589576438579e+17,
4
+ "train_loss": 0.2924559221913417,
5
+ "train_runtime": 346.8638,
6
+ "train_samples_per_second": 7.092,
7
+ "train_steps_per_second": 0.173
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9660714285714286,
3
+ "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-010/checkpoint-30",
4
+ "epoch": 23.90909090909091,
5
+ "eval_steps": 10,
6
+ "global_step": 60,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 3.909090909090909,
13
+ "grad_norm": 24.15110969543457,
14
+ "learning_rate": 1.888888888888889e-05,
15
+ "loss": 1.4393,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 3.909090909090909,
20
+ "eval_accuracy": 0.7089285714285715,
21
+ "eval_loss": 0.9143770337104797,
22
+ "eval_runtime": 7.5272,
23
+ "eval_samples_per_second": 74.397,
24
+ "eval_steps_per_second": 9.3,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 7.909090909090909,
29
+ "grad_norm": 3.7548530101776123,
30
+ "learning_rate": 1.5185185185185187e-05,
31
+ "loss": 0.2882,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 7.909090909090909,
36
+ "eval_accuracy": 0.9267857142857143,
37
+ "eval_loss": 0.33463338017463684,
38
+ "eval_runtime": 8.6699,
39
+ "eval_samples_per_second": 64.591,
40
+ "eval_steps_per_second": 8.074,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 11.909090909090908,
45
+ "grad_norm": 0.41169193387031555,
46
+ "learning_rate": 1.1481481481481482e-05,
47
+ "loss": 0.0231,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 11.909090909090908,
52
+ "eval_accuracy": 0.9660714285714286,
53
+ "eval_loss": 0.1486058533191681,
54
+ "eval_runtime": 8.3231,
55
+ "eval_samples_per_second": 67.283,
56
+ "eval_steps_per_second": 8.41,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 15.909090909090908,
61
+ "grad_norm": 0.092295341193676,
62
+ "learning_rate": 7.77777777777778e-06,
63
+ "loss": 0.0024,
64
+ "step": 40
65
+ },
66
+ {
67
+ "epoch": 15.909090909090908,
68
+ "eval_accuracy": 0.9607142857142857,
69
+ "eval_loss": 0.11993860453367233,
70
+ "eval_runtime": 7.9285,
71
+ "eval_samples_per_second": 70.631,
72
+ "eval_steps_per_second": 8.829,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 19.90909090909091,
77
+ "grad_norm": 0.05062829330563545,
78
+ "learning_rate": 4.074074074074074e-06,
79
+ "loss": 0.001,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 19.90909090909091,
84
+ "eval_accuracy": 0.9642857142857143,
85
+ "eval_loss": 0.10705247521400452,
86
+ "eval_runtime": 9.033,
87
+ "eval_samples_per_second": 61.995,
88
+ "eval_steps_per_second": 7.749,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 23.90909090909091,
93
+ "grad_norm": 0.03906424716114998,
94
+ "learning_rate": 3.7037037037037036e-07,
95
+ "loss": 0.0007,
96
+ "step": 60
97
+ },
98
+ {
99
+ "epoch": 23.90909090909091,
100
+ "eval_accuracy": 0.9625,
101
+ "eval_loss": 0.10578501969575882,
102
+ "eval_runtime": 8.3191,
103
+ "eval_samples_per_second": 67.315,
104
+ "eval_steps_per_second": 8.414,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 23.90909090909091,
109
+ "step": 60,
110
+ "total_flos": 5.259589576438579e+17,
111
+ "train_loss": 0.2924559221913417,
112
+ "train_runtime": 346.8638,
113
+ "train_samples_per_second": 7.092,
114
+ "train_steps_per_second": 0.173
115
+ }
116
+ ],
117
+ "logging_steps": 10,
118
+ "max_steps": 60,
119
+ "num_input_tokens_seen": 0,
120
+ "num_train_epochs": 30,
121
+ "save_steps": 10,
122
+ "stateful_callbacks": {
123
+ "TrainerControl": {
124
+ "args": {
125
+ "should_epoch_stop": false,
126
+ "should_evaluate": false,
127
+ "should_log": false,
128
+ "should_save": true,
129
+ "should_training_stop": true
130
+ },
131
+ "attributes": {}
132
+ }
133
+ },
134
+ "total_flos": 5.259589576438579e+17,
135
+ "train_batch_size": 8,
136
+ "trial_name": null,
137
+ "trial_params": null
138
+ }