Model save
Browse files- all_results.json +8 -0
- pytorch_model.bin +1 -1
- runs/May26_07-29-52_project/events.out.tfevents.1685086204.project.117489.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +249 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.87,
|
3 |
+
"total_flos": 5.909979961466413e+18,
|
4 |
+
"train_loss": 0.1843041891330167,
|
5 |
+
"train_runtime": 18944.3436,
|
6 |
+
"train_samples_per_second": 4.031,
|
7 |
+
"train_steps_per_second": 0.01
|
8 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 347601681
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:802f41e0e5e8ba008457280ba3be6af3aa7fd045963b2b3f6bac8150895faad5
|
3 |
size 347601681
|
runs/May26_07-29-52_project/events.out.tfevents.1685086204.project.117489.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:424a84e20e937e6fab4cb24cab8223e99fdfaf4d59a5594e377480bc6a78180e
|
3 |
+
size 12163
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.87,
|
3 |
+
"total_flos": 5.909979961466413e+18,
|
4 |
+
"train_loss": 0.1843041891330167,
|
5 |
+
"train_runtime": 18944.3436,
|
6 |
+
"train_samples_per_second": 4.031,
|
7 |
+
"train_steps_per_second": 0.01
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,249 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9650432050274941,
|
3 |
+
"best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_08/checkpoint-154",
|
4 |
+
"epoch": 9.87012987012987,
|
5 |
+
"global_step": 190,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.52,
|
12 |
+
"learning_rate": 2.6315789473684212e-05,
|
13 |
+
"loss": 1.2882,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.99,
|
18 |
+
"eval_accuracy": 0.7961508248232522,
|
19 |
+
"eval_f1_score": 0.7862764915452001,
|
20 |
+
"eval_loss": 0.5468631982803345,
|
21 |
+
"eval_precision": 0.807682539972508,
|
22 |
+
"eval_runtime": 146.6896,
|
23 |
+
"eval_samples_per_second": 17.356,
|
24 |
+
"eval_steps_per_second": 0.177,
|
25 |
+
"step": 19
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 1.04,
|
29 |
+
"learning_rate": 4.970760233918128e-05,
|
30 |
+
"loss": 0.7346,
|
31 |
+
"step": 20
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 1.56,
|
35 |
+
"learning_rate": 4.678362573099415e-05,
|
36 |
+
"loss": 0.3491,
|
37 |
+
"step": 30
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.97,
|
41 |
+
"eval_accuracy": 0.8860958366064414,
|
42 |
+
"eval_f1_score": 0.8877831452046004,
|
43 |
+
"eval_loss": 0.3029632568359375,
|
44 |
+
"eval_precision": 0.8981099107198931,
|
45 |
+
"eval_runtime": 142.8458,
|
46 |
+
"eval_samples_per_second": 17.823,
|
47 |
+
"eval_steps_per_second": 0.182,
|
48 |
+
"step": 38
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 2.08,
|
52 |
+
"learning_rate": 4.3859649122807014e-05,
|
53 |
+
"loss": 0.2344,
|
54 |
+
"step": 40
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 2.6,
|
58 |
+
"learning_rate": 4.093567251461988e-05,
|
59 |
+
"loss": 0.1791,
|
60 |
+
"step": 50
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 2.96,
|
64 |
+
"eval_accuracy": 0.9210526315789473,
|
65 |
+
"eval_f1_score": 0.9229181063056022,
|
66 |
+
"eval_loss": 0.2076900452375412,
|
67 |
+
"eval_precision": 0.9307481907300132,
|
68 |
+
"eval_runtime": 146.5105,
|
69 |
+
"eval_samples_per_second": 17.378,
|
70 |
+
"eval_steps_per_second": 0.177,
|
71 |
+
"step": 57
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.12,
|
75 |
+
"learning_rate": 3.8011695906432746e-05,
|
76 |
+
"loss": 0.1365,
|
77 |
+
"step": 60
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 3.64,
|
81 |
+
"learning_rate": 3.508771929824561e-05,
|
82 |
+
"loss": 0.122,
|
83 |
+
"step": 70
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 4.0,
|
87 |
+
"eval_accuracy": 0.9253731343283582,
|
88 |
+
"eval_f1_score": 0.9271544463725769,
|
89 |
+
"eval_loss": 0.20073173940181732,
|
90 |
+
"eval_precision": 0.936852899850916,
|
91 |
+
"eval_runtime": 143.3187,
|
92 |
+
"eval_samples_per_second": 17.765,
|
93 |
+
"eval_steps_per_second": 0.181,
|
94 |
+
"step": 77
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 4.16,
|
98 |
+
"learning_rate": 3.216374269005848e-05,
|
99 |
+
"loss": 0.084,
|
100 |
+
"step": 80
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 4.68,
|
104 |
+
"learning_rate": 2.9239766081871346e-05,
|
105 |
+
"loss": 0.0671,
|
106 |
+
"step": 90
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 4.99,
|
110 |
+
"eval_accuracy": 0.9269442262372348,
|
111 |
+
"eval_f1_score": 0.9294001146483667,
|
112 |
+
"eval_loss": 0.20734713971614838,
|
113 |
+
"eval_precision": 0.9400926555225891,
|
114 |
+
"eval_runtime": 150.1774,
|
115 |
+
"eval_samples_per_second": 16.953,
|
116 |
+
"eval_steps_per_second": 0.173,
|
117 |
+
"step": 96
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 5.19,
|
121 |
+
"learning_rate": 2.6315789473684212e-05,
|
122 |
+
"loss": 0.0545,
|
123 |
+
"step": 100
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 5.71,
|
127 |
+
"learning_rate": 2.3391812865497074e-05,
|
128 |
+
"loss": 0.0474,
|
129 |
+
"step": 110
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 5.97,
|
133 |
+
"eval_accuracy": 0.9481539670070699,
|
134 |
+
"eval_f1_score": 0.9493645555588069,
|
135 |
+
"eval_loss": 0.13840945065021515,
|
136 |
+
"eval_precision": 0.9547416860173351,
|
137 |
+
"eval_runtime": 148.6502,
|
138 |
+
"eval_samples_per_second": 17.127,
|
139 |
+
"eval_steps_per_second": 0.175,
|
140 |
+
"step": 115
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 6.23,
|
144 |
+
"learning_rate": 2.046783625730994e-05,
|
145 |
+
"loss": 0.0359,
|
146 |
+
"step": 120
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 6.75,
|
150 |
+
"learning_rate": 1.7543859649122806e-05,
|
151 |
+
"loss": 0.032,
|
152 |
+
"step": 130
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 6.96,
|
156 |
+
"eval_accuracy": 0.9430479183032208,
|
157 |
+
"eval_f1_score": 0.9447208627751791,
|
158 |
+
"eval_loss": 0.1683335155248642,
|
159 |
+
"eval_precision": 0.9510759669338126,
|
160 |
+
"eval_runtime": 146.9976,
|
161 |
+
"eval_samples_per_second": 17.32,
|
162 |
+
"eval_steps_per_second": 0.177,
|
163 |
+
"step": 134
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 7.27,
|
167 |
+
"learning_rate": 1.4619883040935673e-05,
|
168 |
+
"loss": 0.0284,
|
169 |
+
"step": 140
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 7.79,
|
173 |
+
"learning_rate": 1.1695906432748537e-05,
|
174 |
+
"loss": 0.0225,
|
175 |
+
"step": 150
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 8.0,
|
179 |
+
"eval_accuracy": 0.9650432050274941,
|
180 |
+
"eval_f1_score": 0.9657333174830298,
|
181 |
+
"eval_loss": 0.11006712168455124,
|
182 |
+
"eval_precision": 0.9671471415955248,
|
183 |
+
"eval_runtime": 144.8303,
|
184 |
+
"eval_samples_per_second": 17.579,
|
185 |
+
"eval_steps_per_second": 0.18,
|
186 |
+
"step": 154
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 8.31,
|
190 |
+
"learning_rate": 8.771929824561403e-06,
|
191 |
+
"loss": 0.0299,
|
192 |
+
"step": 160
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 8.83,
|
196 |
+
"learning_rate": 5.8479532163742686e-06,
|
197 |
+
"loss": 0.0193,
|
198 |
+
"step": 170
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 8.99,
|
202 |
+
"eval_accuracy": 0.9532600157109191,
|
203 |
+
"eval_f1_score": 0.9543637358051864,
|
204 |
+
"eval_loss": 0.13721555471420288,
|
205 |
+
"eval_precision": 0.9584728079885907,
|
206 |
+
"eval_runtime": 148.8815,
|
207 |
+
"eval_samples_per_second": 17.101,
|
208 |
+
"eval_steps_per_second": 0.175,
|
209 |
+
"step": 173
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 9.35,
|
213 |
+
"learning_rate": 2.9239766081871343e-06,
|
214 |
+
"loss": 0.0175,
|
215 |
+
"step": 180
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 9.87,
|
219 |
+
"learning_rate": 0.0,
|
220 |
+
"loss": 0.0193,
|
221 |
+
"step": 190
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 9.87,
|
225 |
+
"eval_accuracy": 0.9591516103692066,
|
226 |
+
"eval_f1_score": 0.9600211574702097,
|
227 |
+
"eval_loss": 0.12095439434051514,
|
228 |
+
"eval_precision": 0.9627515459909033,
|
229 |
+
"eval_runtime": 143.4592,
|
230 |
+
"eval_samples_per_second": 17.747,
|
231 |
+
"eval_steps_per_second": 0.181,
|
232 |
+
"step": 190
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 9.87,
|
236 |
+
"step": 190,
|
237 |
+
"total_flos": 5.909979961466413e+18,
|
238 |
+
"train_loss": 0.1843041891330167,
|
239 |
+
"train_runtime": 18944.3436,
|
240 |
+
"train_samples_per_second": 4.031,
|
241 |
+
"train_steps_per_second": 0.01
|
242 |
+
}
|
243 |
+
],
|
244 |
+
"max_steps": 190,
|
245 |
+
"num_train_epochs": 10,
|
246 |
+
"total_flos": 5.909979961466413e+18,
|
247 |
+
"trial_name": null,
|
248 |
+
"trial_params": null
|
249 |
+
}
|