End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9297520661157025,
|
4 |
+
"eval_loss": 0.19896750152111053,
|
5 |
+
"eval_runtime": 13.631,
|
6 |
+
"eval_samples_per_second": 213.043,
|
7 |
+
"eval_steps_per_second": 6.676,
|
8 |
+
"total_flos": 1.6836842977571635e+18,
|
9 |
+
"train_loss": 0.419760063009442,
|
10 |
+
"train_runtime": 917.7632,
|
11 |
+
"train_samples_per_second": 73.799,
|
12 |
+
"train_steps_per_second": 0.577
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9297520661157025,
|
4 |
+
"eval_loss": 0.19896750152111053,
|
5 |
+
"eval_runtime": 13.631,
|
6 |
+
"eval_samples_per_second": 213.043,
|
7 |
+
"eval_steps_per_second": 6.676
|
8 |
+
}
|
runs/Jul26_02-43-40_DESKTOP-BJ85B6S/events.out.tfevents.1721958773.DESKTOP-BJ85B6S.19880.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e76ba18b441f5781a9fd5329129264c0e39bcc41501c20c5921eba930ce694f1
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 1.6836842977571635e+18,
|
4 |
+
"train_loss": 0.419760063009442,
|
5 |
+
"train_runtime": 917.7632,
|
6 |
+
"train_samples_per_second": 73.799,
|
7 |
+
"train_steps_per_second": 0.577
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,503 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9297520661157025,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-wsdmhar\\checkpoint-530",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 530,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.18867924528301888,
|
13 |
+
"grad_norm": 5.205289840698242,
|
14 |
+
"learning_rate": 9.433962264150944e-06,
|
15 |
+
"loss": 1.7479,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.37735849056603776,
|
20 |
+
"grad_norm": 4.392179012298584,
|
21 |
+
"learning_rate": 1.8867924528301888e-05,
|
22 |
+
"loss": 1.4506,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.5660377358490566,
|
27 |
+
"grad_norm": 6.868739604949951,
|
28 |
+
"learning_rate": 2.830188679245283e-05,
|
29 |
+
"loss": 1.0283,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.7547169811320755,
|
34 |
+
"grad_norm": 9.729569435119629,
|
35 |
+
"learning_rate": 3.7735849056603776e-05,
|
36 |
+
"loss": 0.8064,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.9433962264150944,
|
41 |
+
"grad_norm": 12.286840438842773,
|
42 |
+
"learning_rate": 4.716981132075472e-05,
|
43 |
+
"loss": 0.7388,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.7117768595041323,
|
49 |
+
"eval_loss": 0.6308234930038452,
|
50 |
+
"eval_runtime": 24.0663,
|
51 |
+
"eval_samples_per_second": 120.667,
|
52 |
+
"eval_steps_per_second": 3.781,
|
53 |
+
"step": 53
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.1320754716981132,
|
57 |
+
"grad_norm": 9.05235481262207,
|
58 |
+
"learning_rate": 4.9266247379454926e-05,
|
59 |
+
"loss": 0.6616,
|
60 |
+
"step": 60
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.320754716981132,
|
64 |
+
"grad_norm": 10.109884262084961,
|
65 |
+
"learning_rate": 4.8218029350104823e-05,
|
66 |
+
"loss": 0.6363,
|
67 |
+
"step": 70
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 1.509433962264151,
|
71 |
+
"grad_norm": 10.793712615966797,
|
72 |
+
"learning_rate": 4.716981132075472e-05,
|
73 |
+
"loss": 0.554,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.6981132075471699,
|
78 |
+
"grad_norm": 17.802772521972656,
|
79 |
+
"learning_rate": 4.612159329140461e-05,
|
80 |
+
"loss": 0.5516,
|
81 |
+
"step": 90
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.8867924528301887,
|
85 |
+
"grad_norm": 11.082262992858887,
|
86 |
+
"learning_rate": 4.5073375262054504e-05,
|
87 |
+
"loss": 0.5099,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 2.0,
|
92 |
+
"eval_accuracy": 0.8484848484848485,
|
93 |
+
"eval_loss": 0.36690881848335266,
|
94 |
+
"eval_runtime": 13.3175,
|
95 |
+
"eval_samples_per_second": 218.059,
|
96 |
+
"eval_steps_per_second": 6.833,
|
97 |
+
"step": 106
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 2.0754716981132075,
|
101 |
+
"grad_norm": 6.183718204498291,
|
102 |
+
"learning_rate": 4.402515723270441e-05,
|
103 |
+
"loss": 0.4778,
|
104 |
+
"step": 110
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 2.2641509433962264,
|
108 |
+
"grad_norm": 13.359389305114746,
|
109 |
+
"learning_rate": 4.29769392033543e-05,
|
110 |
+
"loss": 0.4449,
|
111 |
+
"step": 120
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.452830188679245,
|
115 |
+
"grad_norm": 6.166327953338623,
|
116 |
+
"learning_rate": 4.192872117400419e-05,
|
117 |
+
"loss": 0.4243,
|
118 |
+
"step": 130
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 2.641509433962264,
|
122 |
+
"grad_norm": 6.538959980010986,
|
123 |
+
"learning_rate": 4.088050314465409e-05,
|
124 |
+
"loss": 0.4265,
|
125 |
+
"step": 140
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 2.830188679245283,
|
129 |
+
"grad_norm": 11.39398193359375,
|
130 |
+
"learning_rate": 3.983228511530399e-05,
|
131 |
+
"loss": 0.4319,
|
132 |
+
"step": 150
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 3.0,
|
136 |
+
"eval_accuracy": 0.8684573002754821,
|
137 |
+
"eval_loss": 0.33240532875061035,
|
138 |
+
"eval_runtime": 14.2442,
|
139 |
+
"eval_samples_per_second": 203.873,
|
140 |
+
"eval_steps_per_second": 6.389,
|
141 |
+
"step": 159
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 3.018867924528302,
|
145 |
+
"grad_norm": 9.0410795211792,
|
146 |
+
"learning_rate": 3.878406708595388e-05,
|
147 |
+
"loss": 0.3985,
|
148 |
+
"step": 160
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 3.207547169811321,
|
152 |
+
"grad_norm": 6.786131381988525,
|
153 |
+
"learning_rate": 3.7735849056603776e-05,
|
154 |
+
"loss": 0.3912,
|
155 |
+
"step": 170
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 3.3962264150943398,
|
159 |
+
"grad_norm": 8.235289573669434,
|
160 |
+
"learning_rate": 3.6687631027253674e-05,
|
161 |
+
"loss": 0.3496,
|
162 |
+
"step": 180
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 3.5849056603773586,
|
166 |
+
"grad_norm": 6.866382122039795,
|
167 |
+
"learning_rate": 3.5639412997903565e-05,
|
168 |
+
"loss": 0.3696,
|
169 |
+
"step": 190
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 3.7735849056603774,
|
173 |
+
"grad_norm": 8.17050552368164,
|
174 |
+
"learning_rate": 3.4591194968553456e-05,
|
175 |
+
"loss": 0.3203,
|
176 |
+
"step": 200
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 3.9622641509433962,
|
180 |
+
"grad_norm": 17.23760414123535,
|
181 |
+
"learning_rate": 3.354297693920336e-05,
|
182 |
+
"loss": 0.4002,
|
183 |
+
"step": 210
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 4.0,
|
187 |
+
"eval_accuracy": 0.9028925619834711,
|
188 |
+
"eval_loss": 0.2758175730705261,
|
189 |
+
"eval_runtime": 14.4978,
|
190 |
+
"eval_samples_per_second": 200.306,
|
191 |
+
"eval_steps_per_second": 6.277,
|
192 |
+
"step": 212
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 4.150943396226415,
|
196 |
+
"grad_norm": 17.225961685180664,
|
197 |
+
"learning_rate": 3.249475890985325e-05,
|
198 |
+
"loss": 0.3484,
|
199 |
+
"step": 220
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 4.339622641509434,
|
203 |
+
"grad_norm": 12.645174980163574,
|
204 |
+
"learning_rate": 3.144654088050314e-05,
|
205 |
+
"loss": 0.353,
|
206 |
+
"step": 230
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 4.528301886792453,
|
210 |
+
"grad_norm": 5.725615978240967,
|
211 |
+
"learning_rate": 3.0398322851153044e-05,
|
212 |
+
"loss": 0.2883,
|
213 |
+
"step": 240
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.716981132075472,
|
217 |
+
"grad_norm": 5.914320468902588,
|
218 |
+
"learning_rate": 2.935010482180294e-05,
|
219 |
+
"loss": 0.3067,
|
220 |
+
"step": 250
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 4.90566037735849,
|
224 |
+
"grad_norm": 6.547543525695801,
|
225 |
+
"learning_rate": 2.830188679245283e-05,
|
226 |
+
"loss": 0.3589,
|
227 |
+
"step": 260
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 5.0,
|
231 |
+
"eval_accuracy": 0.9132231404958677,
|
232 |
+
"eval_loss": 0.2503372132778168,
|
233 |
+
"eval_runtime": 14.406,
|
234 |
+
"eval_samples_per_second": 201.582,
|
235 |
+
"eval_steps_per_second": 6.317,
|
236 |
+
"step": 265
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 5.09433962264151,
|
240 |
+
"grad_norm": 8.123590469360352,
|
241 |
+
"learning_rate": 2.7253668763102725e-05,
|
242 |
+
"loss": 0.3272,
|
243 |
+
"step": 270
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 5.283018867924528,
|
247 |
+
"grad_norm": 5.585710048675537,
|
248 |
+
"learning_rate": 2.6205450733752623e-05,
|
249 |
+
"loss": 0.3535,
|
250 |
+
"step": 280
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 5.471698113207547,
|
254 |
+
"grad_norm": 8.529882431030273,
|
255 |
+
"learning_rate": 2.5157232704402517e-05,
|
256 |
+
"loss": 0.2797,
|
257 |
+
"step": 290
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 5.660377358490566,
|
261 |
+
"grad_norm": 6.009942054748535,
|
262 |
+
"learning_rate": 2.4109014675052412e-05,
|
263 |
+
"loss": 0.3004,
|
264 |
+
"step": 300
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 5.849056603773585,
|
268 |
+
"grad_norm": 4.354741096496582,
|
269 |
+
"learning_rate": 2.3060796645702306e-05,
|
270 |
+
"loss": 0.3096,
|
271 |
+
"step": 310
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 6.0,
|
275 |
+
"eval_accuracy": 0.9135674931129476,
|
276 |
+
"eval_loss": 0.24190402030944824,
|
277 |
+
"eval_runtime": 14.5262,
|
278 |
+
"eval_samples_per_second": 199.915,
|
279 |
+
"eval_steps_per_second": 6.265,
|
280 |
+
"step": 318
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 6.037735849056604,
|
284 |
+
"grad_norm": 6.793937683105469,
|
285 |
+
"learning_rate": 2.2012578616352204e-05,
|
286 |
+
"loss": 0.3024,
|
287 |
+
"step": 320
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 6.226415094339623,
|
291 |
+
"grad_norm": 4.6357221603393555,
|
292 |
+
"learning_rate": 2.0964360587002095e-05,
|
293 |
+
"loss": 0.3013,
|
294 |
+
"step": 330
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 6.415094339622642,
|
298 |
+
"grad_norm": 5.533959865570068,
|
299 |
+
"learning_rate": 1.9916142557651993e-05,
|
300 |
+
"loss": 0.311,
|
301 |
+
"step": 340
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 6.60377358490566,
|
305 |
+
"grad_norm": 5.0147600173950195,
|
306 |
+
"learning_rate": 1.8867924528301888e-05,
|
307 |
+
"loss": 0.2865,
|
308 |
+
"step": 350
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 6.7924528301886795,
|
312 |
+
"grad_norm": 4.817899227142334,
|
313 |
+
"learning_rate": 1.7819706498951782e-05,
|
314 |
+
"loss": 0.2813,
|
315 |
+
"step": 360
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 6.981132075471698,
|
319 |
+
"grad_norm": 6.032566547393799,
|
320 |
+
"learning_rate": 1.677148846960168e-05,
|
321 |
+
"loss": 0.2708,
|
322 |
+
"step": 370
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 7.0,
|
326 |
+
"eval_accuracy": 0.9232093663911846,
|
327 |
+
"eval_loss": 0.22773109376430511,
|
328 |
+
"eval_runtime": 15.0479,
|
329 |
+
"eval_samples_per_second": 192.984,
|
330 |
+
"eval_steps_per_second": 6.047,
|
331 |
+
"step": 371
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 7.169811320754717,
|
335 |
+
"grad_norm": 5.316783428192139,
|
336 |
+
"learning_rate": 1.572327044025157e-05,
|
337 |
+
"loss": 0.3009,
|
338 |
+
"step": 380
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 7.3584905660377355,
|
342 |
+
"grad_norm": 5.2730607986450195,
|
343 |
+
"learning_rate": 1.467505241090147e-05,
|
344 |
+
"loss": 0.2422,
|
345 |
+
"step": 390
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 7.547169811320755,
|
349 |
+
"grad_norm": 5.739044189453125,
|
350 |
+
"learning_rate": 1.3626834381551362e-05,
|
351 |
+
"loss": 0.2667,
|
352 |
+
"step": 400
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.735849056603773,
|
356 |
+
"grad_norm": 5.689853668212891,
|
357 |
+
"learning_rate": 1.2578616352201259e-05,
|
358 |
+
"loss": 0.2833,
|
359 |
+
"step": 410
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.9245283018867925,
|
363 |
+
"grad_norm": 6.43410062789917,
|
364 |
+
"learning_rate": 1.1530398322851153e-05,
|
365 |
+
"loss": 0.261,
|
366 |
+
"step": 420
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 8.0,
|
370 |
+
"eval_accuracy": 0.925275482093664,
|
371 |
+
"eval_loss": 0.21677668392658234,
|
372 |
+
"eval_runtime": 14.7132,
|
373 |
+
"eval_samples_per_second": 197.373,
|
374 |
+
"eval_steps_per_second": 6.185,
|
375 |
+
"step": 424
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 8.11320754716981,
|
379 |
+
"grad_norm": 5.5042643547058105,
|
380 |
+
"learning_rate": 1.0482180293501048e-05,
|
381 |
+
"loss": 0.2675,
|
382 |
+
"step": 430
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 8.30188679245283,
|
386 |
+
"grad_norm": 4.880862236022949,
|
387 |
+
"learning_rate": 9.433962264150944e-06,
|
388 |
+
"loss": 0.2413,
|
389 |
+
"step": 440
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 8.49056603773585,
|
393 |
+
"grad_norm": 3.9594244956970215,
|
394 |
+
"learning_rate": 8.38574423480084e-06,
|
395 |
+
"loss": 0.2577,
|
396 |
+
"step": 450
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 8.679245283018869,
|
400 |
+
"grad_norm": 6.740973949432373,
|
401 |
+
"learning_rate": 7.337526205450735e-06,
|
402 |
+
"loss": 0.2595,
|
403 |
+
"step": 460
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 8.867924528301886,
|
407 |
+
"grad_norm": 7.188548564910889,
|
408 |
+
"learning_rate": 6.289308176100629e-06,
|
409 |
+
"loss": 0.2526,
|
410 |
+
"step": 470
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 9.0,
|
414 |
+
"eval_accuracy": 0.9245867768595041,
|
415 |
+
"eval_loss": 0.20991356670856476,
|
416 |
+
"eval_runtime": 14.793,
|
417 |
+
"eval_samples_per_second": 196.31,
|
418 |
+
"eval_steps_per_second": 6.152,
|
419 |
+
"step": 477
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 9.056603773584905,
|
423 |
+
"grad_norm": 8.5458402633667,
|
424 |
+
"learning_rate": 5.241090146750524e-06,
|
425 |
+
"loss": 0.2465,
|
426 |
+
"step": 480
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 9.245283018867925,
|
430 |
+
"grad_norm": 4.695093154907227,
|
431 |
+
"learning_rate": 4.19287211740042e-06,
|
432 |
+
"loss": 0.2172,
|
433 |
+
"step": 490
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 9.433962264150944,
|
437 |
+
"grad_norm": 3.67899751663208,
|
438 |
+
"learning_rate": 3.1446540880503146e-06,
|
439 |
+
"loss": 0.2635,
|
440 |
+
"step": 500
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 9.622641509433961,
|
444 |
+
"grad_norm": 4.685281276702881,
|
445 |
+
"learning_rate": 2.09643605870021e-06,
|
446 |
+
"loss": 0.254,
|
447 |
+
"step": 510
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 9.81132075471698,
|
451 |
+
"grad_norm": 5.518146991729736,
|
452 |
+
"learning_rate": 1.048218029350105e-06,
|
453 |
+
"loss": 0.2574,
|
454 |
+
"step": 520
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 10.0,
|
458 |
+
"grad_norm": 5.643453598022461,
|
459 |
+
"learning_rate": 0.0,
|
460 |
+
"loss": 0.2767,
|
461 |
+
"step": 530
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 10.0,
|
465 |
+
"eval_accuracy": 0.9297520661157025,
|
466 |
+
"eval_loss": 0.19896750152111053,
|
467 |
+
"eval_runtime": 15.5471,
|
468 |
+
"eval_samples_per_second": 186.787,
|
469 |
+
"eval_steps_per_second": 5.853,
|
470 |
+
"step": 530
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 10.0,
|
474 |
+
"step": 530,
|
475 |
+
"total_flos": 1.6836842977571635e+18,
|
476 |
+
"train_loss": 0.419760063009442,
|
477 |
+
"train_runtime": 917.7632,
|
478 |
+
"train_samples_per_second": 73.799,
|
479 |
+
"train_steps_per_second": 0.577
|
480 |
+
}
|
481 |
+
],
|
482 |
+
"logging_steps": 10,
|
483 |
+
"max_steps": 530,
|
484 |
+
"num_input_tokens_seen": 0,
|
485 |
+
"num_train_epochs": 10,
|
486 |
+
"save_steps": 500,
|
487 |
+
"stateful_callbacks": {
|
488 |
+
"TrainerControl": {
|
489 |
+
"args": {
|
490 |
+
"should_epoch_stop": false,
|
491 |
+
"should_evaluate": false,
|
492 |
+
"should_log": false,
|
493 |
+
"should_save": true,
|
494 |
+
"should_training_stop": true
|
495 |
+
},
|
496 |
+
"attributes": {}
|
497 |
+
}
|
498 |
+
},
|
499 |
+
"total_flos": 1.6836842977571635e+18,
|
500 |
+
"train_batch_size": 32,
|
501 |
+
"trial_name": null,
|
502 |
+
"trial_params": null
|
503 |
+
}
|