🍻 cheers
Browse files- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jul23_12-34-19_bernard/events.out.tfevents.1658572919.bernard.2664185.2 +3 -0
- train_results.json +7 -0
- trainer_state.json +319 -0
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_accuracy": 0.5076923076923077,
|
4 |
+
"eval_loss": 2.5673868656158447,
|
5 |
+
"eval_runtime": 30.9749,
|
6 |
+
"eval_samples_per_second": 54.56,
|
7 |
+
"eval_steps_per_second": 6.844,
|
8 |
+
"train_loss": 3.3443971855695858,
|
9 |
+
"train_runtime": 396.8195,
|
10 |
+
"train_samples_per_second": 17.338,
|
11 |
+
"train_steps_per_second": 1.084
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_accuracy": 0.5076923076923077,
|
4 |
+
"eval_loss": 2.5673868656158447,
|
5 |
+
"eval_runtime": 30.9749,
|
6 |
+
"eval_samples_per_second": 54.56,
|
7 |
+
"eval_steps_per_second": 6.844
|
8 |
+
}
|
runs/Jul23_12-34-19_bernard/events.out.tfevents.1658572919.bernard.2664185.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:336d56598451455a3d1ed20dcb410c214ff910e51ca2ad9907982b562218bd9d
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 3.3443971855695858,
|
4 |
+
"train_runtime": 396.8195,
|
5 |
+
"train_samples_per_second": 17.338,
|
6 |
+
"train_steps_per_second": 1.084
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,319 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.5673868656158447,
|
3 |
+
"best_model_checkpoint": "./robot22/checkpoint-400",
|
4 |
+
"epoch": 1.0,
|
5 |
+
"global_step": 430,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 0.00019534883720930232,
|
13 |
+
"loss": 4.9495,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 0.00019069767441860466,
|
19 |
+
"loss": 4.8535,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.07,
|
24 |
+
"learning_rate": 0.000186046511627907,
|
25 |
+
"loss": 4.6491,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.09,
|
30 |
+
"learning_rate": 0.0001813953488372093,
|
31 |
+
"loss": 4.5284,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.12,
|
36 |
+
"learning_rate": 0.00017674418604651164,
|
37 |
+
"loss": 4.4311,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.14,
|
42 |
+
"learning_rate": 0.00017209302325581395,
|
43 |
+
"loss": 4.2551,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.16,
|
48 |
+
"learning_rate": 0.00016744186046511629,
|
49 |
+
"loss": 4.2248,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.19,
|
54 |
+
"learning_rate": 0.00016279069767441862,
|
55 |
+
"loss": 4.0917,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.21,
|
60 |
+
"learning_rate": 0.00015813953488372093,
|
61 |
+
"loss": 3.964,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.23,
|
66 |
+
"learning_rate": 0.00015348837209302327,
|
67 |
+
"loss": 3.9154,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.23,
|
72 |
+
"eval_accuracy": 0.22130177514792898,
|
73 |
+
"eval_loss": 3.8417413234710693,
|
74 |
+
"eval_runtime": 33.9476,
|
75 |
+
"eval_samples_per_second": 49.783,
|
76 |
+
"eval_steps_per_second": 6.245,
|
77 |
+
"step": 100
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.26,
|
81 |
+
"learning_rate": 0.00014883720930232558,
|
82 |
+
"loss": 3.8266,
|
83 |
+
"step": 110
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.28,
|
87 |
+
"learning_rate": 0.00014418604651162791,
|
88 |
+
"loss": 3.721,
|
89 |
+
"step": 120
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.3,
|
93 |
+
"learning_rate": 0.00013953488372093025,
|
94 |
+
"loss": 3.5688,
|
95 |
+
"step": 130
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.33,
|
99 |
+
"learning_rate": 0.00013488372093023256,
|
100 |
+
"loss": 3.5956,
|
101 |
+
"step": 140
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.35,
|
105 |
+
"learning_rate": 0.0001302325581395349,
|
106 |
+
"loss": 3.5324,
|
107 |
+
"step": 150
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.37,
|
111 |
+
"learning_rate": 0.0001255813953488372,
|
112 |
+
"loss": 3.4582,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.4,
|
117 |
+
"learning_rate": 0.00012093023255813953,
|
118 |
+
"loss": 3.4678,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.42,
|
123 |
+
"learning_rate": 0.00011627906976744187,
|
124 |
+
"loss": 3.3492,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.44,
|
129 |
+
"learning_rate": 0.00011162790697674419,
|
130 |
+
"loss": 3.4026,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.47,
|
135 |
+
"learning_rate": 0.00010697674418604651,
|
136 |
+
"loss": 3.1764,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.47,
|
141 |
+
"eval_accuracy": 0.3201183431952663,
|
142 |
+
"eval_loss": 3.2242767810821533,
|
143 |
+
"eval_runtime": 31.328,
|
144 |
+
"eval_samples_per_second": 53.945,
|
145 |
+
"eval_steps_per_second": 6.767,
|
146 |
+
"step": 200
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.49,
|
150 |
+
"learning_rate": 0.00010232558139534885,
|
151 |
+
"loss": 3.1029,
|
152 |
+
"step": 210
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.51,
|
156 |
+
"learning_rate": 9.767441860465116e-05,
|
157 |
+
"loss": 3.144,
|
158 |
+
"step": 220
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.53,
|
162 |
+
"learning_rate": 9.30232558139535e-05,
|
163 |
+
"loss": 3.092,
|
164 |
+
"step": 230
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.56,
|
168 |
+
"learning_rate": 8.837209302325582e-05,
|
169 |
+
"loss": 3.1839,
|
170 |
+
"step": 240
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.58,
|
174 |
+
"learning_rate": 8.372093023255814e-05,
|
175 |
+
"loss": 3.0839,
|
176 |
+
"step": 250
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.6,
|
180 |
+
"learning_rate": 7.906976744186047e-05,
|
181 |
+
"loss": 2.9506,
|
182 |
+
"step": 260
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.63,
|
186 |
+
"learning_rate": 7.441860465116279e-05,
|
187 |
+
"loss": 2.8607,
|
188 |
+
"step": 270
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.65,
|
192 |
+
"learning_rate": 6.976744186046513e-05,
|
193 |
+
"loss": 3.0074,
|
194 |
+
"step": 280
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.67,
|
198 |
+
"learning_rate": 6.511627906976745e-05,
|
199 |
+
"loss": 2.8763,
|
200 |
+
"step": 290
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.7,
|
204 |
+
"learning_rate": 6.0465116279069765e-05,
|
205 |
+
"loss": 2.8186,
|
206 |
+
"step": 300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.7,
|
210 |
+
"eval_accuracy": 0.4284023668639053,
|
211 |
+
"eval_loss": 2.7973387241363525,
|
212 |
+
"eval_runtime": 30.8947,
|
213 |
+
"eval_samples_per_second": 54.702,
|
214 |
+
"eval_steps_per_second": 6.862,
|
215 |
+
"step": 300
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.72,
|
219 |
+
"learning_rate": 5.5813953488372095e-05,
|
220 |
+
"loss": 2.8303,
|
221 |
+
"step": 310
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.74,
|
225 |
+
"learning_rate": 5.1162790697674425e-05,
|
226 |
+
"loss": 2.8085,
|
227 |
+
"step": 320
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.77,
|
231 |
+
"learning_rate": 4.651162790697675e-05,
|
232 |
+
"loss": 2.8264,
|
233 |
+
"step": 330
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.79,
|
237 |
+
"learning_rate": 4.186046511627907e-05,
|
238 |
+
"loss": 2.7512,
|
239 |
+
"step": 340
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.81,
|
243 |
+
"learning_rate": 3.7209302325581394e-05,
|
244 |
+
"loss": 2.6599,
|
245 |
+
"step": 350
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.84,
|
249 |
+
"learning_rate": 3.2558139534883724e-05,
|
250 |
+
"loss": 2.5858,
|
251 |
+
"step": 360
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.86,
|
255 |
+
"learning_rate": 2.7906976744186048e-05,
|
256 |
+
"loss": 2.6807,
|
257 |
+
"step": 370
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.88,
|
261 |
+
"learning_rate": 2.3255813953488374e-05,
|
262 |
+
"loss": 2.6653,
|
263 |
+
"step": 380
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.91,
|
267 |
+
"learning_rate": 1.8604651162790697e-05,
|
268 |
+
"loss": 2.4515,
|
269 |
+
"step": 390
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.93,
|
273 |
+
"learning_rate": 1.3953488372093024e-05,
|
274 |
+
"loss": 2.632,
|
275 |
+
"step": 400
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.93,
|
279 |
+
"eval_accuracy": 0.5076923076923077,
|
280 |
+
"eval_loss": 2.5673868656158447,
|
281 |
+
"eval_runtime": 33.1328,
|
282 |
+
"eval_samples_per_second": 51.007,
|
283 |
+
"eval_steps_per_second": 6.398,
|
284 |
+
"step": 400
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.95,
|
288 |
+
"learning_rate": 9.302325581395349e-06,
|
289 |
+
"loss": 2.6872,
|
290 |
+
"step": 410
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.98,
|
294 |
+
"learning_rate": 4.651162790697674e-06,
|
295 |
+
"loss": 2.556,
|
296 |
+
"step": 420
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.0,
|
300 |
+
"learning_rate": 0.0,
|
301 |
+
"loss": 2.5929,
|
302 |
+
"step": 430
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.0,
|
306 |
+
"step": 430,
|
307 |
+
"total_flos": 5.338473146715341e+17,
|
308 |
+
"train_loss": 3.3443971855695858,
|
309 |
+
"train_runtime": 396.8195,
|
310 |
+
"train_samples_per_second": 17.338,
|
311 |
+
"train_steps_per_second": 1.084
|
312 |
+
}
|
313 |
+
],
|
314 |
+
"max_steps": 430,
|
315 |
+
"num_train_epochs": 1,
|
316 |
+
"total_flos": 5.338473146715341e+17,
|
317 |
+
"trial_name": null,
|
318 |
+
"trial_params": null
|
319 |
+
}
|