ChiefTheLord
commited on
Upload folder using huggingface_hub
Browse files- flickr30k_checkpoints/checkpoint-776-2/adapter.safetensors +3 -0
- flickr30k_checkpoints/checkpoint-776-2/eval_state.json +0 -0
- flickr30k_checkpoints/checkpoint-776-2/optimizer.pt +3 -0
- flickr30k_checkpoints/checkpoint-776-2/rng_state.pth +3 -0
- flickr30k_checkpoints/checkpoint-776-2/scheduler.pt +3 -0
- flickr30k_checkpoints/checkpoint-776-2/trainer_state.json +407 -0
flickr30k_checkpoints/checkpoint-776-2/adapter.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc347a2bab4a46b74543f35032a0f05fdfbea49d54d24cd51fa19cbaf26f114e
|
3 |
+
size 17064856
|
flickr30k_checkpoints/checkpoint-776-2/eval_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
flickr30k_checkpoints/checkpoint-776-2/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b0129e3b7e1d199d9be4203430f1cea0eb140727b128f0ba3484f195080bd1e2
|
3 |
+
size 8714492
|
flickr30k_checkpoints/checkpoint-776-2/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d138cfe3a4adf21f048848ee35837c9a757a0a3616ff7adbb45b69aac247435
|
3 |
+
size 14244
|
flickr30k_checkpoints/checkpoint-776-2/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cf9f6a4c8809a015370be304dede2b10a5832bd4270a1f831dbabeb3464cc168
|
3 |
+
size 1064
|
flickr30k_checkpoints/checkpoint-776-2/trainer_state.json
ADDED
@@ -0,0 +1,407 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 776,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.041237113402061855,
|
13 |
+
"grad_norm": 0.651349663734436,
|
14 |
+
"learning_rate": 0.0006666666666666666,
|
15 |
+
"loss": 4.8949,
|
16 |
+
"step": 16
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.08247422680412371,
|
20 |
+
"grad_norm": 0.1445673555135727,
|
21 |
+
"learning_rate": 0.0009999301905929286,
|
22 |
+
"loss": 4.8663,
|
23 |
+
"step": 32
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.12371134020618557,
|
27 |
+
"grad_norm": 0.1684003323316574,
|
28 |
+
"learning_rate": 0.0009982557393033759,
|
29 |
+
"loss": 4.9032,
|
30 |
+
"step": 48
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.16494845360824742,
|
34 |
+
"grad_norm": 0.1190505176782608,
|
35 |
+
"learning_rate": 0.0009943559569286732,
|
36 |
+
"loss": 4.8437,
|
37 |
+
"step": 64
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.20618556701030927,
|
41 |
+
"grad_norm": 0.127385675907135,
|
42 |
+
"learning_rate": 0.0009882482608435923,
|
43 |
+
"loss": 4.8599,
|
44 |
+
"step": 80
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.24742268041237114,
|
48 |
+
"grad_norm": 0.1187027171254158,
|
49 |
+
"learning_rate": 0.0009799599295015153,
|
50 |
+
"loss": 4.9368,
|
51 |
+
"step": 96
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.28865979381443296,
|
55 |
+
"grad_norm": 0.14755752682685852,
|
56 |
+
"learning_rate": 0.000969527980602239,
|
57 |
+
"loss": 4.8873,
|
58 |
+
"step": 112
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.32989690721649484,
|
62 |
+
"grad_norm": 0.12241631001234055,
|
63 |
+
"learning_rate": 0.0009569990057619413,
|
64 |
+
"loss": 4.8978,
|
65 |
+
"step": 128
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.3711340206185567,
|
69 |
+
"grad_norm": 0.24350175261497498,
|
70 |
+
"learning_rate": 0.0009424289624237143,
|
71 |
+
"loss": 4.9195,
|
72 |
+
"step": 144
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.41237113402061853,
|
76 |
+
"grad_norm": 0.26752641797065735,
|
77 |
+
"learning_rate": 0.0009258829239380381,
|
78 |
+
"loss": 4.8751,
|
79 |
+
"step": 160
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.4536082474226804,
|
83 |
+
"grad_norm": 0.1479790061712265,
|
84 |
+
"learning_rate": 0.0009074347889294017,
|
85 |
+
"loss": 4.8514,
|
86 |
+
"step": 176
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.4948453608247423,
|
90 |
+
"grad_norm": 0.2047603875398636,
|
91 |
+
"learning_rate": 0.0008871669512471068,
|
92 |
+
"loss": 4.857,
|
93 |
+
"step": 192
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.5360824742268041,
|
97 |
+
"grad_norm": 0.16178925335407257,
|
98 |
+
"learning_rate": 0.0008651699319743347,
|
99 |
+
"loss": 4.8986,
|
100 |
+
"step": 208
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.5773195876288659,
|
104 |
+
"grad_norm": 0.14003640413284302,
|
105 |
+
"learning_rate": 0.0008415419751390154,
|
106 |
+
"loss": 4.8395,
|
107 |
+
"step": 224
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.6185567010309279,
|
111 |
+
"grad_norm": 0.14736343920230865,
|
112 |
+
"learning_rate": 0.0008163886089321493,
|
113 |
+
"loss": 4.8982,
|
114 |
+
"step": 240
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.6597938144329897,
|
118 |
+
"grad_norm": 0.1361091136932373,
|
119 |
+
"learning_rate": 0.0007898221743932888,
|
120 |
+
"loss": 4.9129,
|
121 |
+
"step": 256
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.7010309278350515,
|
125 |
+
"grad_norm": 0.1403878629207611,
|
126 |
+
"learning_rate": 0.0007619613236681844,
|
127 |
+
"loss": 4.8745,
|
128 |
+
"step": 272
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.7422680412371134,
|
132 |
+
"grad_norm": 0.1756931096315384,
|
133 |
+
"learning_rate": 0.000732930490079499,
|
134 |
+
"loss": 4.9091,
|
135 |
+
"step": 288
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.7835051546391752,
|
139 |
+
"grad_norm": 0.1545019894838333,
|
140 |
+
"learning_rate": 0.0007028593323773818,
|
141 |
+
"loss": 4.8666,
|
142 |
+
"step": 304
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.8247422680412371,
|
146 |
+
"grad_norm": 0.13788259029388428,
|
147 |
+
"learning_rate": 0.0006718821556520151,
|
148 |
+
"loss": 4.8873,
|
149 |
+
"step": 320
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.865979381443299,
|
153 |
+
"grad_norm": 0.1487036943435669,
|
154 |
+
"learning_rate": 0.000640137311494478,
|
155 |
+
"loss": 4.8503,
|
156 |
+
"step": 336
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.9072164948453608,
|
160 |
+
"grad_norm": 0.11844358593225479,
|
161 |
+
"learning_rate": 0.0006077665800849568,
|
162 |
+
"loss": 4.8911,
|
163 |
+
"step": 352
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.9484536082474226,
|
167 |
+
"grad_norm": 0.14698012173175812,
|
168 |
+
"learning_rate": 0.0005749145369680407,
|
169 |
+
"loss": 4.8839,
|
170 |
+
"step": 368
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.9896907216494846,
|
174 |
+
"grad_norm": 0.15790720283985138,
|
175 |
+
"learning_rate": 0.0005417279073432449,
|
176 |
+
"loss": 4.8374,
|
177 |
+
"step": 384
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.0,
|
181 |
+
"eval_bleu": 0.08333557407549637,
|
182 |
+
"eval_cap_loss": 1.7252829168567951,
|
183 |
+
"eval_con_loss": 1.9740812087181918,
|
184 |
+
"eval_loss": 3.699364125728607,
|
185 |
+
"step": 388
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.0,
|
189 |
+
"eval_bleu": 0.08333557407549637,
|
190 |
+
"eval_cap_loss": 1.7252829168567951,
|
191 |
+
"eval_con_loss": 1.9740812087181918,
|
192 |
+
"eval_loss": 3.699364125728607,
|
193 |
+
"eval_runtime": 146.0914,
|
194 |
+
"eval_samples_per_second": 21.226,
|
195 |
+
"eval_steps_per_second": 2.656,
|
196 |
+
"step": 388
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 1.0309278350515463,
|
200 |
+
"grad_norm": 0.2379327416419983,
|
201 |
+
"learning_rate": 0.0005083549107546504,
|
202 |
+
"loss": 4.8517,
|
203 |
+
"step": 400
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.0721649484536082,
|
207 |
+
"grad_norm": 0.19742196798324585,
|
208 |
+
"learning_rate": 0.00047494459910644044,
|
209 |
+
"loss": 4.8684,
|
210 |
+
"step": 416
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.1134020618556701,
|
214 |
+
"grad_norm": 0.16078642010688782,
|
215 |
+
"learning_rate": 0.0004416461909609119,
|
216 |
+
"loss": 4.8392,
|
217 |
+
"step": 432
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 1.1546391752577319,
|
221 |
+
"grad_norm": 0.08572334796190262,
|
222 |
+
"learning_rate": 0.00040860840509215494,
|
223 |
+
"loss": 4.8405,
|
224 |
+
"step": 448
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.1958762886597938,
|
228 |
+
"grad_norm": 0.1408192217350006,
|
229 |
+
"learning_rate": 0.00037597879627190335,
|
230 |
+
"loss": 4.9271,
|
231 |
+
"step": 464
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 1.2371134020618557,
|
235 |
+
"grad_norm": 0.1493539661169052,
|
236 |
+
"learning_rate": 0.00034390309625410685,
|
237 |
+
"loss": 4.8443,
|
238 |
+
"step": 480
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 1.2783505154639174,
|
242 |
+
"grad_norm": 0.1724126935005188,
|
243 |
+
"learning_rate": 0.0003125245629015395,
|
244 |
+
"loss": 4.8752,
|
245 |
+
"step": 496
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 1.3195876288659794,
|
249 |
+
"grad_norm": 0.14615976810455322,
|
250 |
+
"learning_rate": 0.00028198334036140874,
|
251 |
+
"loss": 4.8231,
|
252 |
+
"step": 512
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.3608247422680413,
|
256 |
+
"grad_norm": 0.13363386690616608,
|
257 |
+
"learning_rate": 0.00025241583314757326,
|
258 |
+
"loss": 4.8644,
|
259 |
+
"step": 528
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 1.402061855670103,
|
263 |
+
"grad_norm": 0.17828340828418732,
|
264 |
+
"learning_rate": 0.00022395409692487172,
|
265 |
+
"loss": 4.8331,
|
266 |
+
"step": 544
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.443298969072165,
|
270 |
+
"grad_norm": 0.1240629181265831,
|
271 |
+
"learning_rate": 0.0001967252487164663,
|
272 |
+
"loss": 4.8677,
|
273 |
+
"step": 560
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 1.4845360824742269,
|
277 |
+
"grad_norm": 0.16822531819343567,
|
278 |
+
"learning_rate": 0.00017085089916835921,
|
279 |
+
"loss": 4.856,
|
280 |
+
"step": 576
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 1.5257731958762886,
|
284 |
+
"grad_norm": 0.1542797088623047,
|
285 |
+
"learning_rate": 0.00014644660940672628,
|
286 |
+
"loss": 4.8461,
|
287 |
+
"step": 592
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.5670103092783505,
|
291 |
+
"grad_norm": 0.12938471138477325,
|
292 |
+
"learning_rate": 0.0001236213749138743,
|
293 |
+
"loss": 4.8883,
|
294 |
+
"step": 608
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.6082474226804124,
|
298 |
+
"grad_norm": 0.21958403289318085,
|
299 |
+
"learning_rate": 0.0001024771387279585,
|
300 |
+
"loss": 4.8829,
|
301 |
+
"step": 624
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.6494845360824741,
|
305 |
+
"grad_norm": 0.13377727568149567,
|
306 |
+
"learning_rate": 8.310833614062651e-05,
|
307 |
+
"loss": 4.8772,
|
308 |
+
"step": 640
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 1.690721649484536,
|
312 |
+
"grad_norm": 0.124494768679142,
|
313 |
+
"learning_rate": 6.560147292608176e-05,
|
314 |
+
"loss": 4.8758,
|
315 |
+
"step": 656
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 1.731958762886598,
|
319 |
+
"grad_norm": 0.1438254714012146,
|
320 |
+
"learning_rate": 5.003473898529609e-05,
|
321 |
+
"loss": 4.8465,
|
322 |
+
"step": 672
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 1.7731958762886597,
|
326 |
+
"grad_norm": 0.12780630588531494,
|
327 |
+
"learning_rate": 3.6477659130931316e-05,
|
328 |
+
"loss": 4.8857,
|
329 |
+
"step": 688
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.8144329896907216,
|
333 |
+
"grad_norm": 0.12371128052473068,
|
334 |
+
"learning_rate": 2.4990782572647973e-05,
|
335 |
+
"loss": 4.9022,
|
336 |
+
"step": 704
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 1.8556701030927836,
|
340 |
+
"grad_norm": 0.14497648179531097,
|
341 |
+
"learning_rate": 1.5625412489637337e-05,
|
342 |
+
"loss": 4.8414,
|
343 |
+
"step": 720
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 1.8969072164948453,
|
347 |
+
"grad_norm": 0.13651418685913086,
|
348 |
+
"learning_rate": 8.423376898168244e-06,
|
349 |
+
"loss": 4.8314,
|
350 |
+
"step": 736
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.9381443298969072,
|
354 |
+
"grad_norm": 0.1279928982257843,
|
355 |
+
"learning_rate": 3.416841837512952e-06,
|
356 |
+
"loss": 4.9007,
|
357 |
+
"step": 752
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 1.9793814432989691,
|
361 |
+
"grad_norm": 0.13989858329296112,
|
362 |
+
"learning_rate": 6.281677086071303e-07,
|
363 |
+
"loss": 4.8226,
|
364 |
+
"step": 768
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 2.0,
|
368 |
+
"eval_bleu": 0.08337060838622823,
|
369 |
+
"eval_cap_loss": 1.716913080246178,
|
370 |
+
"eval_con_loss": 1.969243642288385,
|
371 |
+
"eval_loss": 3.6861567269895494,
|
372 |
+
"step": 776
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 2.0,
|
376 |
+
"eval_bleu": 0.08337060838622823,
|
377 |
+
"eval_cap_loss": 1.716913080246178,
|
378 |
+
"eval_con_loss": 1.969243642288385,
|
379 |
+
"eval_loss": 3.6861567269895494,
|
380 |
+
"eval_runtime": 142.9819,
|
381 |
+
"eval_samples_per_second": 21.688,
|
382 |
+
"eval_steps_per_second": 2.714,
|
383 |
+
"step": 776
|
384 |
+
}
|
385 |
+
],
|
386 |
+
"logging_steps": 16,
|
387 |
+
"max_steps": 776,
|
388 |
+
"num_input_tokens_seen": 0,
|
389 |
+
"num_train_epochs": 2,
|
390 |
+
"save_steps": 500,
|
391 |
+
"stateful_callbacks": {
|
392 |
+
"TrainerControl": {
|
393 |
+
"args": {
|
394 |
+
"should_epoch_stop": false,
|
395 |
+
"should_evaluate": false,
|
396 |
+
"should_log": false,
|
397 |
+
"should_save": true,
|
398 |
+
"should_training_stop": true
|
399 |
+
},
|
400 |
+
"attributes": {}
|
401 |
+
}
|
402 |
+
},
|
403 |
+
"total_flos": 0.0,
|
404 |
+
"train_batch_size": 32,
|
405 |
+
"trial_name": null,
|
406 |
+
"trial_params": null
|
407 |
+
}
|