griffio commited on
Commit
a100808
1 Parent(s): 1fb8461

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
@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  # vit-large-patch16-224-dungeon-geo-morphs-008
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: 0.0781
37
  - Accuracy: 0.9722
 
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
 
32
 
33
  # vit-large-patch16-224-dungeon-geo-morphs-008
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: 0.0781
38
  - Accuracy: 0.9722
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.285714285714285,
3
+ "eval_accuracy": 0.9722222222222222,
4
+ "eval_loss": 0.07812394201755524,
5
+ "eval_runtime": 0.6106,
6
+ "eval_samples_per_second": 58.961,
7
+ "eval_steps_per_second": 8.189,
8
+ "total_flos": 3.068073182851891e+17,
9
+ "train_loss": 0.1982296261404242,
10
+ "train_runtime": 182.696,
11
+ "train_samples_per_second": 9.579,
12
+ "train_steps_per_second": 0.192
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.285714285714285,
3
+ "eval_accuracy": 0.9722222222222222,
4
+ "eval_loss": 0.07812394201755524,
5
+ "eval_runtime": 0.6106,
6
+ "eval_samples_per_second": 58.961,
7
+ "eval_steps_per_second": 8.189
8
+ }
runs/Nov13_17-15-10_de5729e0f5b3/events.out.tfevents.1731518443.de5729e0f5b3.318.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d76b2c821d0f461490317247a5fe015672c1747ed1f137539aa34e1a264bdb5
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 23.285714285714285,
3
+ "total_flos": 3.068073182851891e+17,
4
+ "train_loss": 0.1982296261404242,
5
+ "train_runtime": 182.696,
6
+ "train_samples_per_second": 9.579,
7
+ "train_steps_per_second": 0.192
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07812394201755524,
3
+ "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-008/checkpoint-20",
4
+ "epoch": 23.285714285714285,
5
+ "eval_steps": 10,
6
+ "global_step": 35,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 6.571428571428571,
13
+ "grad_norm": 10.188948631286621,
14
+ "learning_rate": 1.6774193548387098e-05,
15
+ "loss": 0.6526,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 6.571428571428571,
20
+ "eval_accuracy": 0.9722222222222222,
21
+ "eval_loss": 0.1925116628408432,
22
+ "eval_runtime": 0.5168,
23
+ "eval_samples_per_second": 69.66,
24
+ "eval_steps_per_second": 9.675,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 13.285714285714286,
29
+ "grad_norm": 0.3271343410015106,
30
+ "learning_rate": 1.0322580645161291e-05,
31
+ "loss": 0.0388,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 13.285714285714286,
36
+ "eval_accuracy": 0.9722222222222222,
37
+ "eval_loss": 0.07812394201755524,
38
+ "eval_runtime": 0.5529,
39
+ "eval_samples_per_second": 65.108,
40
+ "eval_steps_per_second": 9.043,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 19.857142857142858,
45
+ "grad_norm": 0.0802752748131752,
46
+ "learning_rate": 3.870967741935484e-06,
47
+ "loss": 0.002,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 19.857142857142858,
52
+ "eval_accuracy": 0.9722222222222222,
53
+ "eval_loss": 0.0781446322798729,
54
+ "eval_runtime": 0.5935,
55
+ "eval_samples_per_second": 60.658,
56
+ "eval_steps_per_second": 8.425,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 23.285714285714285,
61
+ "step": 35,
62
+ "total_flos": 3.068073182851891e+17,
63
+ "train_loss": 0.1982296261404242,
64
+ "train_runtime": 182.696,
65
+ "train_samples_per_second": 9.579,
66
+ "train_steps_per_second": 0.192
67
+ }
68
+ ],
69
+ "logging_steps": 10,
70
+ "max_steps": 35,
71
+ "num_input_tokens_seen": 0,
72
+ "num_train_epochs": 35,
73
+ "save_steps": 10,
74
+ "stateful_callbacks": {
75
+ "EarlyStoppingCallback": {
76
+ "args": {
77
+ "early_stopping_patience": 5,
78
+ "early_stopping_threshold": 0.01
79
+ },
80
+ "attributes": {
81
+ "early_stopping_patience_counter": 1
82
+ }
83
+ },
84
+ "TrainerControl": {
85
+ "args": {
86
+ "should_epoch_stop": false,
87
+ "should_evaluate": false,
88
+ "should_log": false,
89
+ "should_save": true,
90
+ "should_training_stop": true
91
+ },
92
+ "attributes": {}
93
+ }
94
+ },
95
+ "total_flos": 3.068073182851891e+17,
96
+ "train_batch_size": 8,
97
+ "trial_name": null,
98
+ "trial_params": null
99
+ }