siddharth963
commited on
Commit
·
1ef1a50
1
Parent(s):
fbe970e
End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.872196261682243,
|
4 |
+
"eval_loss": 0.4010835587978363,
|
5 |
+
"eval_runtime": 85.9556,
|
6 |
+
"eval_samples_per_second": 49.793,
|
7 |
+
"eval_steps_per_second": 1.559,
|
8 |
+
"total_flos": 3.9721912052731453e+18,
|
9 |
+
"train_loss": 0.5681018877148927,
|
10 |
+
"train_runtime": 3778.1283,
|
11 |
+
"train_samples_per_second": 13.592,
|
12 |
+
"train_steps_per_second": 0.106
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.872196261682243,
|
4 |
+
"eval_loss": 0.4010835587978363,
|
5 |
+
"eval_runtime": 85.9556,
|
6 |
+
"eval_samples_per_second": 49.793,
|
7 |
+
"eval_steps_per_second": 1.559
|
8 |
+
}
|
runs/Sep27_18-58-02_3728c78946fb/events.out.tfevents.1664309418.3728c78946fb.17.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7806937169e32ed145a8acccdc47d1c8ac519b0de8dd062b43c1b4e81b328ae9
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"total_flos": 3.9721912052731453e+18,
|
4 |
+
"train_loss": 0.5681018877148927,
|
5 |
+
"train_runtime": 3778.1283,
|
6 |
+
"train_samples_per_second": 13.592,
|
7 |
+
"train_steps_per_second": 0.106
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,286 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.872196261682243,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-cassava/checkpoint-399",
|
4 |
+
"epoch": 2.994392523364486,
|
5 |
+
"global_step": 399,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.07,
|
12 |
+
"learning_rate": 1.25e-05,
|
13 |
+
"loss": 1.6059,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.15,
|
18 |
+
"learning_rate": 2.5e-05,
|
19 |
+
"loss": 1.381,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.22,
|
24 |
+
"learning_rate": 3.7500000000000003e-05,
|
25 |
+
"loss": 1.1472,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.3,
|
30 |
+
"learning_rate": 5e-05,
|
31 |
+
"loss": 1.0363,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.37,
|
36 |
+
"learning_rate": 4.860724233983287e-05,
|
37 |
+
"loss": 0.9067,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.45,
|
42 |
+
"learning_rate": 4.721448467966574e-05,
|
43 |
+
"loss": 0.7733,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.52,
|
48 |
+
"learning_rate": 4.582172701949861e-05,
|
49 |
+
"loss": 0.7452,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.6,
|
54 |
+
"learning_rate": 4.442896935933148e-05,
|
55 |
+
"loss": 0.6585,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.67,
|
60 |
+
"learning_rate": 4.303621169916435e-05,
|
61 |
+
"loss": 0.6018,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.75,
|
66 |
+
"learning_rate": 4.164345403899722e-05,
|
67 |
+
"loss": 0.5398,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.82,
|
72 |
+
"learning_rate": 4.0250696378830085e-05,
|
73 |
+
"loss": 0.5506,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.9,
|
78 |
+
"learning_rate": 3.885793871866296e-05,
|
79 |
+
"loss": 0.5615,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.97,
|
84 |
+
"learning_rate": 3.746518105849583e-05,
|
85 |
+
"loss": 0.5242,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.99,
|
90 |
+
"eval_accuracy": 0.8502336448598131,
|
91 |
+
"eval_loss": 0.4905190169811249,
|
92 |
+
"eval_runtime": 89.5244,
|
93 |
+
"eval_samples_per_second": 47.808,
|
94 |
+
"eval_steps_per_second": 1.497,
|
95 |
+
"step": 133
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.05,
|
99 |
+
"learning_rate": 3.607242339832869e-05,
|
100 |
+
"loss": 0.5078,
|
101 |
+
"step": 140
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.13,
|
105 |
+
"learning_rate": 3.4679665738161556e-05,
|
106 |
+
"loss": 0.5059,
|
107 |
+
"step": 150
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.2,
|
111 |
+
"learning_rate": 3.328690807799443e-05,
|
112 |
+
"loss": 0.4914,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.28,
|
117 |
+
"learning_rate": 3.18941504178273e-05,
|
118 |
+
"loss": 0.4694,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.35,
|
123 |
+
"learning_rate": 3.050139275766017e-05,
|
124 |
+
"loss": 0.4538,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.43,
|
129 |
+
"learning_rate": 2.9108635097493035e-05,
|
130 |
+
"loss": 0.4467,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.5,
|
135 |
+
"learning_rate": 2.7715877437325903e-05,
|
136 |
+
"loss": 0.4958,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.58,
|
141 |
+
"learning_rate": 2.6323119777158778e-05,
|
142 |
+
"loss": 0.4647,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.65,
|
147 |
+
"learning_rate": 2.4930362116991646e-05,
|
148 |
+
"loss": 0.413,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.73,
|
153 |
+
"learning_rate": 2.3537604456824514e-05,
|
154 |
+
"loss": 0.4005,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.8,
|
159 |
+
"learning_rate": 2.214484679665738e-05,
|
160 |
+
"loss": 0.4374,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.87,
|
165 |
+
"learning_rate": 2.0752089136490253e-05,
|
166 |
+
"loss": 0.4366,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.95,
|
171 |
+
"learning_rate": 1.935933147632312e-05,
|
172 |
+
"loss": 0.4405,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.99,
|
177 |
+
"eval_accuracy": 0.8696261682242991,
|
178 |
+
"eval_loss": 0.41539567708969116,
|
179 |
+
"eval_runtime": 92.6526,
|
180 |
+
"eval_samples_per_second": 46.194,
|
181 |
+
"eval_steps_per_second": 1.446,
|
182 |
+
"step": 266
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.03,
|
186 |
+
"learning_rate": 1.7966573816155992e-05,
|
187 |
+
"loss": 0.4296,
|
188 |
+
"step": 270
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.1,
|
192 |
+
"learning_rate": 1.6573816155988857e-05,
|
193 |
+
"loss": 0.4433,
|
194 |
+
"step": 280
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.18,
|
198 |
+
"learning_rate": 1.518105849582173e-05,
|
199 |
+
"loss": 0.4323,
|
200 |
+
"step": 290
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.25,
|
204 |
+
"learning_rate": 1.3788300835654596e-05,
|
205 |
+
"loss": 0.4169,
|
206 |
+
"step": 300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.33,
|
210 |
+
"learning_rate": 1.2395543175487466e-05,
|
211 |
+
"loss": 0.395,
|
212 |
+
"step": 310
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.4,
|
216 |
+
"learning_rate": 1.1002785515320335e-05,
|
217 |
+
"loss": 0.4045,
|
218 |
+
"step": 320
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.48,
|
222 |
+
"learning_rate": 9.610027855153205e-06,
|
223 |
+
"loss": 0.3718,
|
224 |
+
"step": 330
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.55,
|
228 |
+
"learning_rate": 8.217270194986073e-06,
|
229 |
+
"loss": 0.4601,
|
230 |
+
"step": 340
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.63,
|
234 |
+
"learning_rate": 6.8245125348189415e-06,
|
235 |
+
"loss": 0.3969,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.7,
|
240 |
+
"learning_rate": 5.43175487465181e-06,
|
241 |
+
"loss": 0.397,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.78,
|
246 |
+
"learning_rate": 4.03899721448468e-06,
|
247 |
+
"loss": 0.3909,
|
248 |
+
"step": 370
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.85,
|
252 |
+
"learning_rate": 2.6462395543175487e-06,
|
253 |
+
"loss": 0.4032,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.93,
|
258 |
+
"learning_rate": 1.253481894150418e-06,
|
259 |
+
"loss": 0.3938,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.99,
|
264 |
+
"eval_accuracy": 0.872196261682243,
|
265 |
+
"eval_loss": 0.4010835587978363,
|
266 |
+
"eval_runtime": 89.5202,
|
267 |
+
"eval_samples_per_second": 47.81,
|
268 |
+
"eval_steps_per_second": 1.497,
|
269 |
+
"step": 399
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 2.99,
|
273 |
+
"step": 399,
|
274 |
+
"total_flos": 3.9721912052731453e+18,
|
275 |
+
"train_loss": 0.5681018877148927,
|
276 |
+
"train_runtime": 3778.1283,
|
277 |
+
"train_samples_per_second": 13.592,
|
278 |
+
"train_steps_per_second": 0.106
|
279 |
+
}
|
280 |
+
],
|
281 |
+
"max_steps": 399,
|
282 |
+
"num_train_epochs": 3,
|
283 |
+
"total_flos": 3.9721912052731453e+18,
|
284 |
+
"trial_name": null,
|
285 |
+
"trial_params": null
|
286 |
+
}
|