End of training
Browse files- all_results.json +11 -0
- eval_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +431 -0
all_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 0.0708099901676178,
|
4 |
+
"eval_runtime": 220.4842,
|
5 |
+
"eval_samples_per_second": 35.15,
|
6 |
+
"eval_steps_per_second": 8.79,
|
7 |
+
"train_loss": 0.07038866728798608,
|
8 |
+
"train_runtime": 25445.4127,
|
9 |
+
"train_samples_per_second": 4.604,
|
10 |
+
"train_steps_per_second": 1.151
|
11 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 0.0708099901676178,
|
4 |
+
"eval_runtime": 220.4842,
|
5 |
+
"eval_samples_per_second": 35.15,
|
6 |
+
"eval_steps_per_second": 8.79
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.07038866728798608,
|
4 |
+
"train_runtime": 25445.4127,
|
5 |
+
"train_samples_per_second": 4.604,
|
6 |
+
"train_steps_per_second": 1.151
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,431 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.0708099901676178,
|
3 |
+
"best_model_checkpoint": "/nasty/data/tpid/vizwiz/ViTGPT2I2A/checkpoint-17000",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 29290,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.17,
|
12 |
+
"learning_rate": 1.9320587231136908e-05,
|
13 |
+
"loss": 0.1528,
|
14 |
+
"step": 1000
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.17,
|
18 |
+
"eval_loss": 0.08688350766897202,
|
19 |
+
"eval_runtime": 552.3255,
|
20 |
+
"eval_samples_per_second": 14.032,
|
21 |
+
"eval_steps_per_second": 3.509,
|
22 |
+
"step": 1000
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 0.34,
|
26 |
+
"learning_rate": 1.8637760327756916e-05,
|
27 |
+
"loss": 0.0899,
|
28 |
+
"step": 2000
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.34,
|
32 |
+
"eval_loss": 0.08172640949487686,
|
33 |
+
"eval_runtime": 437.9983,
|
34 |
+
"eval_samples_per_second": 17.694,
|
35 |
+
"eval_steps_per_second": 4.425,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.51,
|
40 |
+
"learning_rate": 1.795493342437692e-05,
|
41 |
+
"loss": 0.084,
|
42 |
+
"step": 3000
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0.51,
|
46 |
+
"eval_loss": 0.07901930063962936,
|
47 |
+
"eval_runtime": 217.4661,
|
48 |
+
"eval_samples_per_second": 35.638,
|
49 |
+
"eval_steps_per_second": 8.912,
|
50 |
+
"step": 3000
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.68,
|
54 |
+
"learning_rate": 1.7272106520996928e-05,
|
55 |
+
"loss": 0.0814,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.68,
|
60 |
+
"eval_loss": 0.07728389650583267,
|
61 |
+
"eval_runtime": 218.3505,
|
62 |
+
"eval_samples_per_second": 35.493,
|
63 |
+
"eval_steps_per_second": 8.876,
|
64 |
+
"step": 4000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.85,
|
68 |
+
"learning_rate": 1.6589279617616936e-05,
|
69 |
+
"loss": 0.0803,
|
70 |
+
"step": 5000
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.85,
|
74 |
+
"eval_loss": 0.07569148391485214,
|
75 |
+
"eval_runtime": 218.1796,
|
76 |
+
"eval_samples_per_second": 35.521,
|
77 |
+
"eval_steps_per_second": 8.883,
|
78 |
+
"step": 5000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 1.02,
|
82 |
+
"learning_rate": 1.590645271423694e-05,
|
83 |
+
"loss": 0.077,
|
84 |
+
"step": 6000
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.02,
|
88 |
+
"eval_loss": 0.07452211529016495,
|
89 |
+
"eval_runtime": 220.2685,
|
90 |
+
"eval_samples_per_second": 35.184,
|
91 |
+
"eval_steps_per_second": 8.798,
|
92 |
+
"step": 6000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.19,
|
96 |
+
"learning_rate": 1.5223625810856947e-05,
|
97 |
+
"loss": 0.0739,
|
98 |
+
"step": 7000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.19,
|
102 |
+
"eval_loss": 0.0739876851439476,
|
103 |
+
"eval_runtime": 205.9033,
|
104 |
+
"eval_samples_per_second": 37.639,
|
105 |
+
"eval_steps_per_second": 9.412,
|
106 |
+
"step": 7000
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 1.37,
|
110 |
+
"learning_rate": 1.4540798907476957e-05,
|
111 |
+
"loss": 0.0719,
|
112 |
+
"step": 8000
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.37,
|
116 |
+
"eval_loss": 0.07368426769971848,
|
117 |
+
"eval_runtime": 217.9815,
|
118 |
+
"eval_samples_per_second": 35.553,
|
119 |
+
"eval_steps_per_second": 8.891,
|
120 |
+
"step": 8000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 1.54,
|
124 |
+
"learning_rate": 1.3857972004096963e-05,
|
125 |
+
"loss": 0.0717,
|
126 |
+
"step": 9000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 1.54,
|
130 |
+
"eval_loss": 0.07300957292318344,
|
131 |
+
"eval_runtime": 219.2086,
|
132 |
+
"eval_samples_per_second": 35.354,
|
133 |
+
"eval_steps_per_second": 8.841,
|
134 |
+
"step": 9000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.71,
|
138 |
+
"learning_rate": 1.3175145100716968e-05,
|
139 |
+
"loss": 0.0731,
|
140 |
+
"step": 10000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.71,
|
144 |
+
"eval_loss": 0.0726846307516098,
|
145 |
+
"eval_runtime": 219.3614,
|
146 |
+
"eval_samples_per_second": 35.33,
|
147 |
+
"eval_steps_per_second": 8.835,
|
148 |
+
"step": 10000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 1.88,
|
152 |
+
"learning_rate": 1.2492318197336977e-05,
|
153 |
+
"loss": 0.0708,
|
154 |
+
"step": 11000
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.88,
|
158 |
+
"eval_loss": 0.07204297184944153,
|
159 |
+
"eval_runtime": 217.9036,
|
160 |
+
"eval_samples_per_second": 35.566,
|
161 |
+
"eval_steps_per_second": 8.894,
|
162 |
+
"step": 11000
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 2.05,
|
166 |
+
"learning_rate": 1.1809491293956984e-05,
|
167 |
+
"loss": 0.0697,
|
168 |
+
"step": 12000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 2.05,
|
172 |
+
"eval_loss": 0.07171137630939484,
|
173 |
+
"eval_runtime": 219.7173,
|
174 |
+
"eval_samples_per_second": 35.273,
|
175 |
+
"eval_steps_per_second": 8.82,
|
176 |
+
"step": 12000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.22,
|
180 |
+
"learning_rate": 1.1126664390576988e-05,
|
181 |
+
"loss": 0.0655,
|
182 |
+
"step": 13000
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.22,
|
186 |
+
"eval_loss": 0.07193101197481155,
|
187 |
+
"eval_runtime": 218.2496,
|
188 |
+
"eval_samples_per_second": 35.51,
|
189 |
+
"eval_steps_per_second": 8.88,
|
190 |
+
"step": 13000
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 2.39,
|
194 |
+
"learning_rate": 1.0443837487196998e-05,
|
195 |
+
"loss": 0.0653,
|
196 |
+
"step": 14000
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 2.39,
|
200 |
+
"eval_loss": 0.07193595170974731,
|
201 |
+
"eval_runtime": 218.5083,
|
202 |
+
"eval_samples_per_second": 35.468,
|
203 |
+
"eval_steps_per_second": 8.869,
|
204 |
+
"step": 14000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 2.56,
|
208 |
+
"learning_rate": 9.761693410720383e-06,
|
209 |
+
"loss": 0.0657,
|
210 |
+
"step": 15000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 2.56,
|
214 |
+
"eval_loss": 0.07120098173618317,
|
215 |
+
"eval_runtime": 219.0492,
|
216 |
+
"eval_samples_per_second": 35.38,
|
217 |
+
"eval_steps_per_second": 8.847,
|
218 |
+
"step": 15000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.73,
|
222 |
+
"learning_rate": 9.07886650734039e-06,
|
223 |
+
"loss": 0.0663,
|
224 |
+
"step": 16000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.73,
|
228 |
+
"eval_loss": 0.07102101296186447,
|
229 |
+
"eval_runtime": 218.7347,
|
230 |
+
"eval_samples_per_second": 35.431,
|
231 |
+
"eval_steps_per_second": 8.86,
|
232 |
+
"step": 16000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 2.9,
|
236 |
+
"learning_rate": 8.396722430863777e-06,
|
237 |
+
"loss": 0.0654,
|
238 |
+
"step": 17000
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 2.9,
|
242 |
+
"eval_loss": 0.0708099901676178,
|
243 |
+
"eval_runtime": 218.8513,
|
244 |
+
"eval_samples_per_second": 35.412,
|
245 |
+
"eval_steps_per_second": 8.855,
|
246 |
+
"step": 17000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3.07,
|
250 |
+
"learning_rate": 7.713895527483783e-06,
|
251 |
+
"loss": 0.0645,
|
252 |
+
"step": 18000
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 3.07,
|
256 |
+
"eval_loss": 0.07163063436746597,
|
257 |
+
"eval_runtime": 219.9493,
|
258 |
+
"eval_samples_per_second": 35.235,
|
259 |
+
"eval_steps_per_second": 8.811,
|
260 |
+
"step": 18000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.24,
|
264 |
+
"learning_rate": 7.0317514510071705e-06,
|
265 |
+
"loss": 0.0616,
|
266 |
+
"step": 19000
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.24,
|
270 |
+
"eval_loss": 0.07119180262088776,
|
271 |
+
"eval_runtime": 219.2713,
|
272 |
+
"eval_samples_per_second": 35.344,
|
273 |
+
"eval_steps_per_second": 8.838,
|
274 |
+
"step": 19000
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 3.41,
|
278 |
+
"learning_rate": 6.348924547627177e-06,
|
279 |
+
"loss": 0.0607,
|
280 |
+
"step": 20000
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 3.41,
|
284 |
+
"eval_loss": 0.07116228342056274,
|
285 |
+
"eval_runtime": 219.1634,
|
286 |
+
"eval_samples_per_second": 35.362,
|
287 |
+
"eval_steps_per_second": 8.843,
|
288 |
+
"step": 20000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 3.58,
|
292 |
+
"learning_rate": 5.666097644247184e-06,
|
293 |
+
"loss": 0.0611,
|
294 |
+
"step": 21000
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 3.58,
|
298 |
+
"eval_loss": 0.07110943645238876,
|
299 |
+
"eval_runtime": 219.7957,
|
300 |
+
"eval_samples_per_second": 35.26,
|
301 |
+
"eval_steps_per_second": 8.817,
|
302 |
+
"step": 21000
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.76,
|
306 |
+
"learning_rate": 4.98327074086719e-06,
|
307 |
+
"loss": 0.0615,
|
308 |
+
"step": 22000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.76,
|
312 |
+
"eval_loss": 0.07111015915870667,
|
313 |
+
"eval_runtime": 220.0979,
|
314 |
+
"eval_samples_per_second": 35.212,
|
315 |
+
"eval_steps_per_second": 8.805,
|
316 |
+
"step": 22000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 3.93,
|
320 |
+
"learning_rate": 4.3018094912939576e-06,
|
321 |
+
"loss": 0.0614,
|
322 |
+
"step": 23000
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 3.93,
|
326 |
+
"eval_loss": 0.0710098147392273,
|
327 |
+
"eval_runtime": 223.1322,
|
328 |
+
"eval_samples_per_second": 34.733,
|
329 |
+
"eval_steps_per_second": 8.685,
|
330 |
+
"step": 23000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 4.1,
|
334 |
+
"learning_rate": 3.618982587913964e-06,
|
335 |
+
"loss": 0.0594,
|
336 |
+
"step": 24000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 4.1,
|
340 |
+
"eval_loss": 0.07158154249191284,
|
341 |
+
"eval_runtime": 220.2761,
|
342 |
+
"eval_samples_per_second": 35.183,
|
343 |
+
"eval_steps_per_second": 8.798,
|
344 |
+
"step": 24000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.27,
|
348 |
+
"learning_rate": 2.936155684533971e-06,
|
349 |
+
"loss": 0.0587,
|
350 |
+
"step": 25000
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.27,
|
354 |
+
"eval_loss": 0.07150966674089432,
|
355 |
+
"eval_runtime": 223.8011,
|
356 |
+
"eval_samples_per_second": 34.629,
|
357 |
+
"eval_steps_per_second": 8.659,
|
358 |
+
"step": 25000
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 4.44,
|
362 |
+
"learning_rate": 2.2533287811539777e-06,
|
363 |
+
"loss": 0.0574,
|
364 |
+
"step": 26000
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 4.44,
|
368 |
+
"eval_loss": 0.07154253125190735,
|
369 |
+
"eval_runtime": 216.2215,
|
370 |
+
"eval_samples_per_second": 35.843,
|
371 |
+
"eval_steps_per_second": 8.963,
|
372 |
+
"step": 26000
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 4.61,
|
376 |
+
"learning_rate": 1.5711847046773643e-06,
|
377 |
+
"loss": 0.0579,
|
378 |
+
"step": 27000
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 4.61,
|
382 |
+
"eval_loss": 0.07154078036546707,
|
383 |
+
"eval_runtime": 219.6549,
|
384 |
+
"eval_samples_per_second": 35.283,
|
385 |
+
"eval_steps_per_second": 8.823,
|
386 |
+
"step": 27000
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 4.78,
|
390 |
+
"learning_rate": 8.883578012973712e-07,
|
391 |
+
"loss": 0.0581,
|
392 |
+
"step": 28000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 4.78,
|
396 |
+
"eval_loss": 0.07147673517465591,
|
397 |
+
"eval_runtime": 218.889,
|
398 |
+
"eval_samples_per_second": 35.406,
|
399 |
+
"eval_steps_per_second": 8.854,
|
400 |
+
"step": 28000
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 4.95,
|
404 |
+
"learning_rate": 2.0553089791737796e-07,
|
405 |
+
"loss": 0.0579,
|
406 |
+
"step": 29000
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 4.95,
|
410 |
+
"eval_loss": 0.07150830328464508,
|
411 |
+
"eval_runtime": 219.8431,
|
412 |
+
"eval_samples_per_second": 35.252,
|
413 |
+
"eval_steps_per_second": 8.815,
|
414 |
+
"step": 29000
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 5.0,
|
418 |
+
"step": 29290,
|
419 |
+
"total_flos": 2.1143149521668145e+19,
|
420 |
+
"train_loss": 0.07038866728798608,
|
421 |
+
"train_runtime": 25445.4127,
|
422 |
+
"train_samples_per_second": 4.604,
|
423 |
+
"train_steps_per_second": 1.151
|
424 |
+
}
|
425 |
+
],
|
426 |
+
"max_steps": 29290,
|
427 |
+
"num_train_epochs": 5,
|
428 |
+
"total_flos": 2.1143149521668145e+19,
|
429 |
+
"trial_name": null,
|
430 |
+
"trial_params": null
|
431 |
+
}
|