LennyTheJetSmith commited on
Commit
1007e56
1 Parent(s): 3d9fddf

End of training

Browse files
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.6410
36
  - Accuracy: 0.6288
37
 
38
  ## Model description
 
32
 
33
  This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6583
36
  - Accuracy: 0.6288
37
 
38
  ## Model description
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9881422924901186,
3
+ "eval_accuracy": 0.6287625418060201,
4
+ "eval_loss": 0.6582574844360352,
5
+ "eval_runtime": 20.11,
6
+ "eval_samples_per_second": 44.605,
7
+ "eval_steps_per_second": 1.442,
8
+ "total_flos": 1.8869538215666074e+18,
9
+ "train_loss": 0.693489463241012,
10
+ "train_runtime": 1138.9978,
11
+ "train_samples_per_second": 21.242,
12
+ "train_steps_per_second": 0.166
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9881422924901186,
3
+ "eval_accuracy": 0.6287625418060201,
4
+ "eval_loss": 0.6582574844360352,
5
+ "eval_runtime": 20.11,
6
+ "eval_samples_per_second": 44.605,
7
+ "eval_steps_per_second": 1.442
8
+ }
runs/May08_09-12-56_7cbe753fd411/events.out.tfevents.1715162641.7cbe753fd411.189.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f2f021098497e04a438af889c67cc552a7bf318b2367b0d4b2492b7c92d17be
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9881422924901186,
3
+ "total_flos": 1.8869538215666074e+18,
4
+ "train_loss": 0.693489463241012,
5
+ "train_runtime": 1138.9978,
6
+ "train_samples_per_second": 21.242,
7
+ "train_steps_per_second": 0.166
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,183 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6287625418060201,
3
+ "best_model_checkpoint": "dinov2-base-finetuned-eurosat/checkpoint-126",
4
+ "epoch": 2.9881422924901186,
5
+ "eval_steps": 500,
6
+ "global_step": 189,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.15810276679841898,
13
+ "grad_norm": 70.1077651977539,
14
+ "learning_rate": 2.6315789473684212e-05,
15
+ "loss": 0.76,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.31620553359683795,
20
+ "grad_norm": 48.27754211425781,
21
+ "learning_rate": 4.970588235294118e-05,
22
+ "loss": 1.2682,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4743083003952569,
27
+ "grad_norm": 15.019556045532227,
28
+ "learning_rate": 4.6764705882352944e-05,
29
+ "loss": 0.7174,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.6324110671936759,
34
+ "grad_norm": 1.4938839673995972,
35
+ "learning_rate": 4.382352941176471e-05,
36
+ "loss": 0.649,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.7905138339920948,
41
+ "grad_norm": 6.551772117614746,
42
+ "learning_rate": 4.0882352941176474e-05,
43
+ "loss": 0.6611,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.9486166007905138,
48
+ "grad_norm": 12.39152717590332,
49
+ "learning_rate": 3.794117647058824e-05,
50
+ "loss": 0.6861,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.9960474308300395,
55
+ "eval_accuracy": 0.6276477146042363,
56
+ "eval_loss": 0.6515693068504333,
57
+ "eval_runtime": 20.1373,
58
+ "eval_samples_per_second": 44.544,
59
+ "eval_steps_per_second": 1.44,
60
+ "step": 63
61
+ },
62
+ {
63
+ "epoch": 1.1067193675889329,
64
+ "grad_norm": 1.726658821105957,
65
+ "learning_rate": 3.5e-05,
66
+ "loss": 0.6682,
67
+ "step": 70
68
+ },
69
+ {
70
+ "epoch": 1.2648221343873518,
71
+ "grad_norm": 7.709726810455322,
72
+ "learning_rate": 3.205882352941177e-05,
73
+ "loss": 0.6531,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 1.4229249011857708,
78
+ "grad_norm": 4.282989978790283,
79
+ "learning_rate": 2.9117647058823534e-05,
80
+ "loss": 0.6574,
81
+ "step": 90
82
+ },
83
+ {
84
+ "epoch": 1.5810276679841897,
85
+ "grad_norm": 8.803805351257324,
86
+ "learning_rate": 2.6176470588235295e-05,
87
+ "loss": 0.6842,
88
+ "step": 100
89
+ },
90
+ {
91
+ "epoch": 1.7391304347826086,
92
+ "grad_norm": 1.4123204946517944,
93
+ "learning_rate": 2.323529411764706e-05,
94
+ "loss": 0.6511,
95
+ "step": 110
96
+ },
97
+ {
98
+ "epoch": 1.8972332015810278,
99
+ "grad_norm": 2.3040549755096436,
100
+ "learning_rate": 2.0294117647058825e-05,
101
+ "loss": 0.6401,
102
+ "step": 120
103
+ },
104
+ {
105
+ "epoch": 1.992094861660079,
106
+ "eval_accuracy": 0.6287625418060201,
107
+ "eval_loss": 0.6582574844360352,
108
+ "eval_runtime": 20.0609,
109
+ "eval_samples_per_second": 44.714,
110
+ "eval_steps_per_second": 1.446,
111
+ "step": 126
112
+ },
113
+ {
114
+ "epoch": 2.0553359683794468,
115
+ "grad_norm": 5.009319305419922,
116
+ "learning_rate": 1.735294117647059e-05,
117
+ "loss": 0.6274,
118
+ "step": 130
119
+ },
120
+ {
121
+ "epoch": 2.2134387351778657,
122
+ "grad_norm": 4.530085563659668,
123
+ "learning_rate": 1.4411764705882352e-05,
124
+ "loss": 0.6532,
125
+ "step": 140
126
+ },
127
+ {
128
+ "epoch": 2.3715415019762847,
129
+ "grad_norm": 0.5754580497741699,
130
+ "learning_rate": 1.1470588235294118e-05,
131
+ "loss": 0.6457,
132
+ "step": 150
133
+ },
134
+ {
135
+ "epoch": 2.5296442687747036,
136
+ "grad_norm": 6.618398189544678,
137
+ "learning_rate": 8.529411764705883e-06,
138
+ "loss": 0.6514,
139
+ "step": 160
140
+ },
141
+ {
142
+ "epoch": 2.6877470355731226,
143
+ "grad_norm": 3.6953773498535156,
144
+ "learning_rate": 5.588235294117647e-06,
145
+ "loss": 0.6178,
146
+ "step": 170
147
+ },
148
+ {
149
+ "epoch": 2.8458498023715415,
150
+ "grad_norm": 6.594776153564453,
151
+ "learning_rate": 2.647058823529412e-06,
152
+ "loss": 0.6342,
153
+ "step": 180
154
+ },
155
+ {
156
+ "epoch": 2.9881422924901186,
157
+ "eval_accuracy": 0.6287625418060201,
158
+ "eval_loss": 0.6409574747085571,
159
+ "eval_runtime": 20.3183,
160
+ "eval_samples_per_second": 44.147,
161
+ "eval_steps_per_second": 1.427,
162
+ "step": 189
163
+ },
164
+ {
165
+ "epoch": 2.9881422924901186,
166
+ "step": 189,
167
+ "total_flos": 1.8869538215666074e+18,
168
+ "train_loss": 0.693489463241012,
169
+ "train_runtime": 1138.9978,
170
+ "train_samples_per_second": 21.242,
171
+ "train_steps_per_second": 0.166
172
+ }
173
+ ],
174
+ "logging_steps": 10,
175
+ "max_steps": 189,
176
+ "num_input_tokens_seen": 0,
177
+ "num_train_epochs": 3,
178
+ "save_steps": 500,
179
+ "total_flos": 1.8869538215666074e+18,
180
+ "train_batch_size": 32,
181
+ "trial_name": null,
182
+ "trial_params": null
183
+ }