🍻 cheers
Browse files- README.md +4 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Mar17_19-33-07_add18dc15495/events.out.tfevents.1710704648.add18dc15495.3839.4 +3 -0
- train_results.json +6 -6
- trainer_state.json +68 -825
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# vit-lr-0.0001
|
17 |
|
18 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- accuracy
|
|
|
16 |
|
17 |
# vit-lr-0.0001
|
18 |
|
19 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the skin-cancer dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.4974
|
22 |
+
- Accuracy: 0.8169
|
23 |
|
24 |
## Model description
|
25 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 40.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 8.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.18,
|
3 |
+
"eval_accuracy": 0.8169209431345353,
|
4 |
+
"eval_loss": 0.49744343757629395,
|
5 |
+
"eval_runtime": 40.9787,
|
6 |
+
"eval_samples_per_second": 70.378,
|
7 |
+
"eval_steps_per_second": 8.809,
|
8 |
+
"total_flos": 8.667092503134536e+17,
|
9 |
+
"train_loss": 0.4869789886474609,
|
10 |
+
"train_runtime": 547.2513,
|
11 |
+
"train_samples_per_second": 937.047,
|
12 |
+
"train_steps_per_second": 58.657
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 40.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 8.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.18,
|
3 |
+
"eval_accuracy": 0.8169209431345353,
|
4 |
+
"eval_loss": 0.49744343757629395,
|
5 |
+
"eval_runtime": 40.9787,
|
6 |
+
"eval_samples_per_second": 70.378,
|
7 |
+
"eval_steps_per_second": 8.809
|
8 |
}
|
runs/Mar17_19-33-07_add18dc15495/events.out.tfevents.1710704648.add18dc15495.3839.4
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8a580650500e0fec83150a051bcf3229ae6bbae2e90f9f1a108a0e796d5f241
|
3 |
+
size 734
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.18,
|
3 |
+
"total_flos": 8.667092503134536e+17,
|
4 |
+
"train_loss": 0.4869789886474609,
|
5 |
+
"train_runtime": 547.2513,
|
6 |
+
"train_samples_per_second": 937.047,
|
7 |
+
"train_steps_per_second": 58.657
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,898 +1,141 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./vit-lr-0.0001/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.03,
|
13 |
-
"grad_norm": 3.3859810829162598,
|
14 |
-
"learning_rate": 9.997196261682243e-05,
|
15 |
-
"loss": 1.1978,
|
16 |
-
"step": 10
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 0.06,
|
20 |
-
"grad_norm": 4.35668420791626,
|
21 |
-
"learning_rate": 9.994080996884736e-05,
|
22 |
-
"loss": 0.717,
|
23 |
-
"step": 20
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.09,
|
27 |
-
"grad_norm": 5.1708455085754395,
|
28 |
-
"learning_rate": 9.990965732087227e-05,
|
29 |
-
"loss": 0.8267,
|
30 |
-
"step": 30
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 0.12,
|
34 |
-
"grad_norm": 9.000005722045898,
|
35 |
-
"learning_rate": 9.98785046728972e-05,
|
36 |
-
"loss": 1.0157,
|
37 |
-
"step": 40
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 0.16,
|
41 |
-
"grad_norm": 4.164905071258545,
|
42 |
-
"learning_rate": 9.984735202492212e-05,
|
43 |
-
"loss": 0.7406,
|
44 |
-
"step": 50
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.19,
|
48 |
-
"grad_norm": 3.7239935398101807,
|
49 |
-
"learning_rate": 9.981619937694705e-05,
|
50 |
-
"loss": 0.7899,
|
51 |
-
"step": 60
|
52 |
-
},
|
53 |
-
{
|
54 |
-
"epoch": 0.22,
|
55 |
-
"grad_norm": 3.9820024967193604,
|
56 |
-
"learning_rate": 9.978504672897196e-05,
|
57 |
-
"loss": 0.816,
|
58 |
-
"step": 70
|
59 |
-
},
|
60 |
-
{
|
61 |
-
"epoch": 0.25,
|
62 |
-
"grad_norm": 3.7813899517059326,
|
63 |
-
"learning_rate": 9.975389408099689e-05,
|
64 |
-
"loss": 0.6441,
|
65 |
-
"step": 80
|
66 |
-
},
|
67 |
-
{
|
68 |
-
"epoch": 0.28,
|
69 |
-
"grad_norm": 6.419355869293213,
|
70 |
-
"learning_rate": 9.972274143302182e-05,
|
71 |
-
"loss": 0.6568,
|
72 |
-
"step": 90
|
73 |
-
},
|
74 |
{
|
75 |
"epoch": 0.31,
|
76 |
-
"grad_norm":
|
77 |
-
"learning_rate": 9.
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.31,
|
83 |
-
"eval_accuracy": 0.
|
84 |
-
"eval_loss": 0.
|
85 |
-
"eval_runtime": 39.
|
86 |
-
"eval_samples_per_second": 72.
|
87 |
-
"eval_steps_per_second": 9.
|
88 |
"step": 100
|
89 |
},
|
90 |
-
{
|
91 |
-
"epoch": 0.34,
|
92 |
-
"grad_norm": 4.352388858795166,
|
93 |
-
"learning_rate": 9.966043613707165e-05,
|
94 |
-
"loss": 0.6567,
|
95 |
-
"step": 110
|
96 |
-
},
|
97 |
-
{
|
98 |
-
"epoch": 0.37,
|
99 |
-
"grad_norm": 6.960423946380615,
|
100 |
-
"learning_rate": 9.962928348909658e-05,
|
101 |
-
"loss": 0.643,
|
102 |
-
"step": 120
|
103 |
-
},
|
104 |
-
{
|
105 |
-
"epoch": 0.4,
|
106 |
-
"grad_norm": 8.54637336730957,
|
107 |
-
"learning_rate": 9.95981308411215e-05,
|
108 |
-
"loss": 0.6606,
|
109 |
-
"step": 130
|
110 |
-
},
|
111 |
-
{
|
112 |
-
"epoch": 0.44,
|
113 |
-
"grad_norm": 1.6916728019714355,
|
114 |
-
"learning_rate": 9.956697819314643e-05,
|
115 |
-
"loss": 0.5345,
|
116 |
-
"step": 140
|
117 |
-
},
|
118 |
-
{
|
119 |
-
"epoch": 0.47,
|
120 |
-
"grad_norm": 5.490638732910156,
|
121 |
-
"learning_rate": 9.953582554517134e-05,
|
122 |
-
"loss": 0.6008,
|
123 |
-
"step": 150
|
124 |
-
},
|
125 |
-
{
|
126 |
-
"epoch": 0.5,
|
127 |
-
"grad_norm": 6.159054279327393,
|
128 |
-
"learning_rate": 9.950467289719627e-05,
|
129 |
-
"loss": 0.5466,
|
130 |
-
"step": 160
|
131 |
-
},
|
132 |
-
{
|
133 |
-
"epoch": 0.53,
|
134 |
-
"grad_norm": 2.6157217025756836,
|
135 |
-
"learning_rate": 9.947352024922119e-05,
|
136 |
-
"loss": 0.5968,
|
137 |
-
"step": 170
|
138 |
-
},
|
139 |
-
{
|
140 |
-
"epoch": 0.56,
|
141 |
-
"grad_norm": 7.270638465881348,
|
142 |
-
"learning_rate": 9.944236760124612e-05,
|
143 |
-
"loss": 0.6522,
|
144 |
-
"step": 180
|
145 |
-
},
|
146 |
-
{
|
147 |
-
"epoch": 0.59,
|
148 |
-
"grad_norm": 6.296653747558594,
|
149 |
-
"learning_rate": 9.941121495327103e-05,
|
150 |
-
"loss": 0.5591,
|
151 |
-
"step": 190
|
152 |
-
},
|
153 |
{
|
154 |
"epoch": 0.62,
|
155 |
-
"grad_norm": 6.
|
156 |
-
"learning_rate": 9.
|
157 |
-
"loss": 0.
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.62,
|
162 |
-
"eval_accuracy": 0.
|
163 |
-
"eval_loss": 0.
|
164 |
-
"eval_runtime": 39.
|
165 |
-
"eval_samples_per_second":
|
166 |
-
"eval_steps_per_second": 9.
|
167 |
"step": 200
|
168 |
},
|
169 |
-
{
|
170 |
-
"epoch": 0.65,
|
171 |
-
"grad_norm": 4.321172714233398,
|
172 |
-
"learning_rate": 9.934890965732088e-05,
|
173 |
-
"loss": 0.606,
|
174 |
-
"step": 210
|
175 |
-
},
|
176 |
-
{
|
177 |
-
"epoch": 0.69,
|
178 |
-
"grad_norm": 6.226727485656738,
|
179 |
-
"learning_rate": 9.93177570093458e-05,
|
180 |
-
"loss": 0.7798,
|
181 |
-
"step": 220
|
182 |
-
},
|
183 |
-
{
|
184 |
-
"epoch": 0.72,
|
185 |
-
"grad_norm": 3.879312515258789,
|
186 |
-
"learning_rate": 9.928660436137072e-05,
|
187 |
-
"loss": 0.4047,
|
188 |
-
"step": 230
|
189 |
-
},
|
190 |
-
{
|
191 |
-
"epoch": 0.75,
|
192 |
-
"grad_norm": 2.546088457107544,
|
193 |
-
"learning_rate": 9.925545171339564e-05,
|
194 |
-
"loss": 0.559,
|
195 |
-
"step": 240
|
196 |
-
},
|
197 |
-
{
|
198 |
-
"epoch": 0.78,
|
199 |
-
"grad_norm": 6.213643550872803,
|
200 |
-
"learning_rate": 9.922429906542056e-05,
|
201 |
-
"loss": 0.7639,
|
202 |
-
"step": 250
|
203 |
-
},
|
204 |
-
{
|
205 |
-
"epoch": 0.81,
|
206 |
-
"grad_norm": 3.789020299911499,
|
207 |
-
"learning_rate": 9.91931464174455e-05,
|
208 |
-
"loss": 0.5372,
|
209 |
-
"step": 260
|
210 |
-
},
|
211 |
-
{
|
212 |
-
"epoch": 0.84,
|
213 |
-
"grad_norm": 5.764331340789795,
|
214 |
-
"learning_rate": 9.916199376947041e-05,
|
215 |
-
"loss": 0.5031,
|
216 |
-
"step": 270
|
217 |
-
},
|
218 |
-
{
|
219 |
-
"epoch": 0.87,
|
220 |
-
"grad_norm": 2.2293648719787598,
|
221 |
-
"learning_rate": 9.913084112149534e-05,
|
222 |
-
"loss": 0.4379,
|
223 |
-
"step": 280
|
224 |
-
},
|
225 |
-
{
|
226 |
-
"epoch": 0.9,
|
227 |
-
"grad_norm": 6.797378063201904,
|
228 |
-
"learning_rate": 9.909968847352025e-05,
|
229 |
-
"loss": 0.6147,
|
230 |
-
"step": 290
|
231 |
-
},
|
232 |
{
|
233 |
"epoch": 0.93,
|
234 |
-
"grad_norm": 6.
|
235 |
-
"learning_rate": 9.
|
236 |
-
"loss": 0.
|
237 |
"step": 300
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.93,
|
241 |
-
"eval_accuracy": 0.
|
242 |
-
"eval_loss": 0.
|
243 |
-
"eval_runtime":
|
244 |
-
"eval_samples_per_second":
|
245 |
-
"eval_steps_per_second": 9.
|
246 |
"step": 300
|
247 |
},
|
248 |
-
{
|
249 |
-
"epoch": 0.97,
|
250 |
-
"grad_norm": 3.367398262023926,
|
251 |
-
"learning_rate": 9.90373831775701e-05,
|
252 |
-
"loss": 0.5153,
|
253 |
-
"step": 310
|
254 |
-
},
|
255 |
-
{
|
256 |
-
"epoch": 1.0,
|
257 |
-
"grad_norm": 5.517517566680908,
|
258 |
-
"learning_rate": 9.900623052959503e-05,
|
259 |
-
"loss": 0.5022,
|
260 |
-
"step": 320
|
261 |
-
},
|
262 |
-
{
|
263 |
-
"epoch": 1.03,
|
264 |
-
"grad_norm": 6.2498393058776855,
|
265 |
-
"learning_rate": 9.897507788161994e-05,
|
266 |
-
"loss": 0.4581,
|
267 |
-
"step": 330
|
268 |
-
},
|
269 |
-
{
|
270 |
-
"epoch": 1.06,
|
271 |
-
"grad_norm": 5.515881538391113,
|
272 |
-
"learning_rate": 9.894392523364486e-05,
|
273 |
-
"loss": 0.3453,
|
274 |
-
"step": 340
|
275 |
-
},
|
276 |
-
{
|
277 |
-
"epoch": 1.09,
|
278 |
-
"grad_norm": 3.255171060562134,
|
279 |
-
"learning_rate": 9.891277258566979e-05,
|
280 |
-
"loss": 0.4332,
|
281 |
-
"step": 350
|
282 |
-
},
|
283 |
-
{
|
284 |
-
"epoch": 1.12,
|
285 |
-
"grad_norm": 2.262460231781006,
|
286 |
-
"learning_rate": 9.888161993769472e-05,
|
287 |
-
"loss": 0.3463,
|
288 |
-
"step": 360
|
289 |
-
},
|
290 |
-
{
|
291 |
-
"epoch": 1.15,
|
292 |
-
"grad_norm": 5.0724711418151855,
|
293 |
-
"learning_rate": 9.885046728971963e-05,
|
294 |
-
"loss": 0.5136,
|
295 |
-
"step": 370
|
296 |
-
},
|
297 |
-
{
|
298 |
-
"epoch": 1.18,
|
299 |
-
"grad_norm": 3.8894565105438232,
|
300 |
-
"learning_rate": 9.881931464174455e-05,
|
301 |
-
"loss": 0.3792,
|
302 |
-
"step": 380
|
303 |
-
},
|
304 |
-
{
|
305 |
-
"epoch": 1.21,
|
306 |
-
"grad_norm": 4.299795627593994,
|
307 |
-
"learning_rate": 9.878816199376948e-05,
|
308 |
-
"loss": 0.4804,
|
309 |
-
"step": 390
|
310 |
-
},
|
311 |
{
|
312 |
"epoch": 1.25,
|
313 |
-
"grad_norm":
|
314 |
-
"learning_rate": 9.
|
315 |
-
"loss": 0.
|
316 |
"step": 400
|
317 |
},
|
318 |
{
|
319 |
"epoch": 1.25,
|
320 |
-
"eval_accuracy": 0.
|
321 |
-
"eval_loss": 0.
|
322 |
-
"eval_runtime": 39.
|
323 |
-
"eval_samples_per_second":
|
324 |
-
"eval_steps_per_second": 9.
|
325 |
"step": 400
|
326 |
},
|
327 |
-
{
|
328 |
-
"epoch": 1.28,
|
329 |
-
"grad_norm": 4.152671813964844,
|
330 |
-
"learning_rate": 9.872585669781932e-05,
|
331 |
-
"loss": 0.4629,
|
332 |
-
"step": 410
|
333 |
-
},
|
334 |
-
{
|
335 |
-
"epoch": 1.31,
|
336 |
-
"grad_norm": 3.4808621406555176,
|
337 |
-
"learning_rate": 9.869470404984425e-05,
|
338 |
-
"loss": 0.3583,
|
339 |
-
"step": 420
|
340 |
-
},
|
341 |
-
{
|
342 |
-
"epoch": 1.34,
|
343 |
-
"grad_norm": 1.483371615409851,
|
344 |
-
"learning_rate": 9.866355140186917e-05,
|
345 |
-
"loss": 0.5018,
|
346 |
-
"step": 430
|
347 |
-
},
|
348 |
-
{
|
349 |
-
"epoch": 1.37,
|
350 |
-
"grad_norm": 4.952483654022217,
|
351 |
-
"learning_rate": 9.863239875389408e-05,
|
352 |
-
"loss": 0.4338,
|
353 |
-
"step": 440
|
354 |
-
},
|
355 |
-
{
|
356 |
-
"epoch": 1.4,
|
357 |
-
"grad_norm": 4.527029037475586,
|
358 |
-
"learning_rate": 9.860124610591901e-05,
|
359 |
-
"loss": 0.437,
|
360 |
-
"step": 450
|
361 |
-
},
|
362 |
-
{
|
363 |
-
"epoch": 1.43,
|
364 |
-
"grad_norm": 7.609699726104736,
|
365 |
-
"learning_rate": 9.857009345794394e-05,
|
366 |
-
"loss": 0.3796,
|
367 |
-
"step": 460
|
368 |
-
},
|
369 |
-
{
|
370 |
-
"epoch": 1.46,
|
371 |
-
"grad_norm": 3.572444200515747,
|
372 |
-
"learning_rate": 9.853894080996885e-05,
|
373 |
-
"loss": 0.3551,
|
374 |
-
"step": 470
|
375 |
-
},
|
376 |
-
{
|
377 |
-
"epoch": 1.5,
|
378 |
-
"grad_norm": 8.147821426391602,
|
379 |
-
"learning_rate": 9.850778816199377e-05,
|
380 |
-
"loss": 0.4182,
|
381 |
-
"step": 480
|
382 |
-
},
|
383 |
-
{
|
384 |
-
"epoch": 1.53,
|
385 |
-
"grad_norm": 6.7267279624938965,
|
386 |
-
"learning_rate": 9.84766355140187e-05,
|
387 |
-
"loss": 0.3584,
|
388 |
-
"step": 490
|
389 |
-
},
|
390 |
{
|
391 |
"epoch": 1.56,
|
392 |
-
"grad_norm":
|
393 |
-
"learning_rate": 9.
|
394 |
-
"loss": 0.
|
395 |
"step": 500
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.56,
|
399 |
-
"eval_accuracy": 0.
|
400 |
-
"eval_loss": 0.
|
401 |
-
"eval_runtime": 39.
|
402 |
-
"eval_samples_per_second":
|
403 |
-
"eval_steps_per_second": 9.
|
404 |
"step": 500
|
405 |
},
|
406 |
-
{
|
407 |
-
"epoch": 1.59,
|
408 |
-
"grad_norm": 4.186713695526123,
|
409 |
-
"learning_rate": 9.841433021806854e-05,
|
410 |
-
"loss": 0.4802,
|
411 |
-
"step": 510
|
412 |
-
},
|
413 |
-
{
|
414 |
-
"epoch": 1.62,
|
415 |
-
"grad_norm": 4.469476699829102,
|
416 |
-
"learning_rate": 9.838317757009346e-05,
|
417 |
-
"loss": 0.4118,
|
418 |
-
"step": 520
|
419 |
-
},
|
420 |
-
{
|
421 |
-
"epoch": 1.65,
|
422 |
-
"grad_norm": 7.559543609619141,
|
423 |
-
"learning_rate": 9.835202492211837e-05,
|
424 |
-
"loss": 0.4605,
|
425 |
-
"step": 530
|
426 |
-
},
|
427 |
-
{
|
428 |
-
"epoch": 1.68,
|
429 |
-
"grad_norm": 2.5254476070404053,
|
430 |
-
"learning_rate": 9.83208722741433e-05,
|
431 |
-
"loss": 0.2878,
|
432 |
-
"step": 540
|
433 |
-
},
|
434 |
-
{
|
435 |
-
"epoch": 1.71,
|
436 |
-
"grad_norm": 4.755306720733643,
|
437 |
-
"learning_rate": 9.828971962616823e-05,
|
438 |
-
"loss": 0.3881,
|
439 |
-
"step": 550
|
440 |
-
},
|
441 |
-
{
|
442 |
-
"epoch": 1.74,
|
443 |
-
"grad_norm": 3.8046302795410156,
|
444 |
-
"learning_rate": 9.825856697819316e-05,
|
445 |
-
"loss": 0.3511,
|
446 |
-
"step": 560
|
447 |
-
},
|
448 |
-
{
|
449 |
-
"epoch": 1.78,
|
450 |
-
"grad_norm": 2.603055238723755,
|
451 |
-
"learning_rate": 9.822741433021808e-05,
|
452 |
-
"loss": 0.3354,
|
453 |
-
"step": 570
|
454 |
-
},
|
455 |
-
{
|
456 |
-
"epoch": 1.81,
|
457 |
-
"grad_norm": 3.5978047847747803,
|
458 |
-
"learning_rate": 9.819626168224299e-05,
|
459 |
-
"loss": 0.2885,
|
460 |
-
"step": 580
|
461 |
-
},
|
462 |
-
{
|
463 |
-
"epoch": 1.84,
|
464 |
-
"grad_norm": 5.625058174133301,
|
465 |
-
"learning_rate": 9.816510903426792e-05,
|
466 |
-
"loss": 0.392,
|
467 |
-
"step": 590
|
468 |
-
},
|
469 |
{
|
470 |
"epoch": 1.87,
|
471 |
-
"grad_norm": 4.
|
472 |
-
"learning_rate": 9.
|
473 |
-
"loss": 0.
|
474 |
"step": 600
|
475 |
},
|
476 |
{
|
477 |
"epoch": 1.87,
|
478 |
"eval_accuracy": 0.794382801664355,
|
479 |
-
"eval_loss": 0.
|
480 |
-
"eval_runtime": 39.
|
481 |
-
"eval_samples_per_second":
|
482 |
-
"eval_steps_per_second": 9.
|
483 |
"step": 600
|
484 |
},
|
485 |
-
{
|
486 |
-
"epoch": 1.9,
|
487 |
-
"grad_norm": 6.1720123291015625,
|
488 |
-
"learning_rate": 9.810280373831777e-05,
|
489 |
-
"loss": 0.5169,
|
490 |
-
"step": 610
|
491 |
-
},
|
492 |
-
{
|
493 |
-
"epoch": 1.93,
|
494 |
-
"grad_norm": 3.5033581256866455,
|
495 |
-
"learning_rate": 9.807165109034268e-05,
|
496 |
-
"loss": 0.4374,
|
497 |
-
"step": 620
|
498 |
-
},
|
499 |
-
{
|
500 |
-
"epoch": 1.96,
|
501 |
-
"grad_norm": 4.63729190826416,
|
502 |
-
"learning_rate": 9.80404984423676e-05,
|
503 |
-
"loss": 0.2866,
|
504 |
-
"step": 630
|
505 |
-
},
|
506 |
-
{
|
507 |
-
"epoch": 1.99,
|
508 |
-
"grad_norm": 3.4656624794006348,
|
509 |
-
"learning_rate": 9.800934579439253e-05,
|
510 |
-
"loss": 0.3323,
|
511 |
-
"step": 640
|
512 |
-
},
|
513 |
-
{
|
514 |
-
"epoch": 2.02,
|
515 |
-
"grad_norm": 3.2712185382843018,
|
516 |
-
"learning_rate": 9.797819314641746e-05,
|
517 |
-
"loss": 0.2275,
|
518 |
-
"step": 650
|
519 |
-
},
|
520 |
-
{
|
521 |
-
"epoch": 2.06,
|
522 |
-
"grad_norm": 3.9931576251983643,
|
523 |
-
"learning_rate": 9.794704049844237e-05,
|
524 |
-
"loss": 0.21,
|
525 |
-
"step": 660
|
526 |
-
},
|
527 |
-
{
|
528 |
-
"epoch": 2.09,
|
529 |
-
"grad_norm": 1.7855778932571411,
|
530 |
-
"learning_rate": 9.791588785046729e-05,
|
531 |
-
"loss": 0.2996,
|
532 |
-
"step": 670
|
533 |
-
},
|
534 |
-
{
|
535 |
-
"epoch": 2.12,
|
536 |
-
"grad_norm": 5.909547328948975,
|
537 |
-
"learning_rate": 9.788473520249222e-05,
|
538 |
-
"loss": 0.2081,
|
539 |
-
"step": 680
|
540 |
-
},
|
541 |
-
{
|
542 |
-
"epoch": 2.15,
|
543 |
-
"grad_norm": 1.9149627685546875,
|
544 |
-
"learning_rate": 9.785358255451714e-05,
|
545 |
-
"loss": 0.216,
|
546 |
-
"step": 690
|
547 |
-
},
|
548 |
{
|
549 |
"epoch": 2.18,
|
550 |
-
"grad_norm":
|
551 |
-
"learning_rate": 9.
|
552 |
-
"loss": 0.
|
553 |
"step": 700
|
554 |
},
|
555 |
{
|
556 |
"epoch": 2.18,
|
557 |
-
"eval_accuracy": 0.
|
558 |
-
"eval_loss": 0.
|
559 |
-
"eval_runtime": 39.
|
560 |
-
"eval_samples_per_second": 73.
|
561 |
-
"eval_steps_per_second": 9.
|
562 |
"step": 700
|
563 |
},
|
564 |
{
|
565 |
-
"epoch": 2.
|
566 |
-
"
|
567 |
-
"
|
568 |
-
"
|
569 |
-
"
|
570 |
-
|
571 |
-
|
572 |
-
"epoch": 2.24,
|
573 |
-
"grad_norm": 6.487290382385254,
|
574 |
-
"learning_rate": 9.77601246105919e-05,
|
575 |
-
"loss": 0.3093,
|
576 |
-
"step": 720
|
577 |
-
},
|
578 |
-
{
|
579 |
-
"epoch": 2.27,
|
580 |
-
"grad_norm": 6.3305230140686035,
|
581 |
-
"learning_rate": 9.772897196261682e-05,
|
582 |
-
"loss": 0.3298,
|
583 |
-
"step": 730
|
584 |
-
},
|
585 |
-
{
|
586 |
-
"epoch": 2.31,
|
587 |
-
"grad_norm": 1.8739694356918335,
|
588 |
-
"learning_rate": 9.769781931464175e-05,
|
589 |
-
"loss": 0.2836,
|
590 |
-
"step": 740
|
591 |
-
},
|
592 |
-
{
|
593 |
-
"epoch": 2.34,
|
594 |
-
"grad_norm": 6.215338230133057,
|
595 |
-
"learning_rate": 9.766666666666668e-05,
|
596 |
-
"loss": 0.213,
|
597 |
-
"step": 750
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 2.37,
|
601 |
-
"grad_norm": 0.6346792578697205,
|
602 |
-
"learning_rate": 9.76355140186916e-05,
|
603 |
-
"loss": 0.1537,
|
604 |
-
"step": 760
|
605 |
-
},
|
606 |
-
{
|
607 |
-
"epoch": 2.4,
|
608 |
-
"grad_norm": 6.488032341003418,
|
609 |
-
"learning_rate": 9.760436137071651e-05,
|
610 |
-
"loss": 0.2713,
|
611 |
-
"step": 770
|
612 |
-
},
|
613 |
-
{
|
614 |
-
"epoch": 2.43,
|
615 |
-
"grad_norm": 3.9325110912323,
|
616 |
-
"learning_rate": 9.757320872274144e-05,
|
617 |
-
"loss": 0.2861,
|
618 |
-
"step": 780
|
619 |
-
},
|
620 |
-
{
|
621 |
-
"epoch": 2.46,
|
622 |
-
"grad_norm": 4.505757808685303,
|
623 |
-
"learning_rate": 9.754205607476637e-05,
|
624 |
-
"loss": 0.2625,
|
625 |
-
"step": 790
|
626 |
-
},
|
627 |
-
{
|
628 |
-
"epoch": 2.49,
|
629 |
-
"grad_norm": 1.1799720525741577,
|
630 |
-
"learning_rate": 9.751090342679128e-05,
|
631 |
-
"loss": 0.2159,
|
632 |
-
"step": 800
|
633 |
-
},
|
634 |
-
{
|
635 |
-
"epoch": 2.49,
|
636 |
-
"eval_accuracy": 0.8359916782246879,
|
637 |
-
"eval_loss": 0.5187094211578369,
|
638 |
-
"eval_runtime": 38.9237,
|
639 |
-
"eval_samples_per_second": 74.094,
|
640 |
-
"eval_steps_per_second": 9.275,
|
641 |
-
"step": 800
|
642 |
-
},
|
643 |
-
{
|
644 |
-
"epoch": 2.52,
|
645 |
-
"grad_norm": 0.662136971950531,
|
646 |
-
"learning_rate": 9.74797507788162e-05,
|
647 |
-
"loss": 0.2325,
|
648 |
-
"step": 810
|
649 |
-
},
|
650 |
-
{
|
651 |
-
"epoch": 2.55,
|
652 |
-
"grad_norm": 9.680724143981934,
|
653 |
-
"learning_rate": 9.744859813084113e-05,
|
654 |
-
"loss": 0.2579,
|
655 |
-
"step": 820
|
656 |
-
},
|
657 |
-
{
|
658 |
-
"epoch": 2.59,
|
659 |
-
"grad_norm": 0.5741639137268066,
|
660 |
-
"learning_rate": 9.741744548286604e-05,
|
661 |
-
"loss": 0.1271,
|
662 |
-
"step": 830
|
663 |
-
},
|
664 |
-
{
|
665 |
-
"epoch": 2.62,
|
666 |
-
"grad_norm": 9.787598609924316,
|
667 |
-
"learning_rate": 9.738629283489097e-05,
|
668 |
-
"loss": 0.2705,
|
669 |
-
"step": 840
|
670 |
-
},
|
671 |
-
{
|
672 |
-
"epoch": 2.65,
|
673 |
-
"grad_norm": 3.5786948204040527,
|
674 |
-
"learning_rate": 9.73551401869159e-05,
|
675 |
-
"loss": 0.1892,
|
676 |
-
"step": 850
|
677 |
-
},
|
678 |
-
{
|
679 |
-
"epoch": 2.68,
|
680 |
-
"grad_norm": 3.534965753555298,
|
681 |
-
"learning_rate": 9.732398753894082e-05,
|
682 |
-
"loss": 0.1629,
|
683 |
-
"step": 860
|
684 |
-
},
|
685 |
-
{
|
686 |
-
"epoch": 2.71,
|
687 |
-
"grad_norm": 3.6333532333374023,
|
688 |
-
"learning_rate": 9.729283489096573e-05,
|
689 |
-
"loss": 0.3307,
|
690 |
-
"step": 870
|
691 |
-
},
|
692 |
-
{
|
693 |
-
"epoch": 2.74,
|
694 |
-
"grad_norm": 7.089163780212402,
|
695 |
-
"learning_rate": 9.726168224299066e-05,
|
696 |
-
"loss": 0.3159,
|
697 |
-
"step": 880
|
698 |
-
},
|
699 |
-
{
|
700 |
-
"epoch": 2.77,
|
701 |
-
"grad_norm": 0.845410168170929,
|
702 |
-
"learning_rate": 9.723052959501559e-05,
|
703 |
-
"loss": 0.1572,
|
704 |
-
"step": 890
|
705 |
-
},
|
706 |
-
{
|
707 |
-
"epoch": 2.8,
|
708 |
-
"grad_norm": 6.727290630340576,
|
709 |
-
"learning_rate": 9.71993769470405e-05,
|
710 |
-
"loss": 0.1659,
|
711 |
-
"step": 900
|
712 |
-
},
|
713 |
-
{
|
714 |
-
"epoch": 2.8,
|
715 |
-
"eval_accuracy": 0.8318307905686546,
|
716 |
-
"eval_loss": 0.5848782062530518,
|
717 |
-
"eval_runtime": 38.908,
|
718 |
-
"eval_samples_per_second": 74.124,
|
719 |
-
"eval_steps_per_second": 9.278,
|
720 |
-
"step": 900
|
721 |
-
},
|
722 |
-
{
|
723 |
-
"epoch": 2.83,
|
724 |
-
"grad_norm": 4.609592914581299,
|
725 |
-
"learning_rate": 9.716822429906542e-05,
|
726 |
-
"loss": 0.3052,
|
727 |
-
"step": 910
|
728 |
-
},
|
729 |
-
{
|
730 |
-
"epoch": 2.87,
|
731 |
-
"grad_norm": 4.7995285987854,
|
732 |
-
"learning_rate": 9.713707165109035e-05,
|
733 |
-
"loss": 0.3944,
|
734 |
-
"step": 920
|
735 |
-
},
|
736 |
-
{
|
737 |
-
"epoch": 2.9,
|
738 |
-
"grad_norm": 4.78571891784668,
|
739 |
-
"learning_rate": 9.710591900311527e-05,
|
740 |
-
"loss": 0.3118,
|
741 |
-
"step": 930
|
742 |
-
},
|
743 |
-
{
|
744 |
-
"epoch": 2.93,
|
745 |
-
"grad_norm": 7.084194183349609,
|
746 |
-
"learning_rate": 9.70747663551402e-05,
|
747 |
-
"loss": 0.2874,
|
748 |
-
"step": 940
|
749 |
-
},
|
750 |
-
{
|
751 |
-
"epoch": 2.96,
|
752 |
-
"grad_norm": 2.6003012657165527,
|
753 |
-
"learning_rate": 9.704361370716511e-05,
|
754 |
-
"loss": 0.2024,
|
755 |
-
"step": 950
|
756 |
-
},
|
757 |
-
{
|
758 |
-
"epoch": 2.99,
|
759 |
-
"grad_norm": 3.7201614379882812,
|
760 |
-
"learning_rate": 9.701246105919004e-05,
|
761 |
-
"loss": 0.224,
|
762 |
-
"step": 960
|
763 |
-
},
|
764 |
-
{
|
765 |
-
"epoch": 3.02,
|
766 |
-
"grad_norm": 3.0651230812072754,
|
767 |
-
"learning_rate": 9.698130841121495e-05,
|
768 |
-
"loss": 0.1076,
|
769 |
-
"step": 970
|
770 |
-
},
|
771 |
-
{
|
772 |
-
"epoch": 3.05,
|
773 |
-
"grad_norm": 4.620060920715332,
|
774 |
-
"learning_rate": 9.695015576323988e-05,
|
775 |
-
"loss": 0.1312,
|
776 |
-
"step": 980
|
777 |
-
},
|
778 |
-
{
|
779 |
-
"epoch": 3.08,
|
780 |
-
"grad_norm": 0.5105383992195129,
|
781 |
-
"learning_rate": 9.691900311526481e-05,
|
782 |
-
"loss": 0.1479,
|
783 |
-
"step": 990
|
784 |
-
},
|
785 |
-
{
|
786 |
-
"epoch": 3.12,
|
787 |
-
"grad_norm": 1.0817281007766724,
|
788 |
-
"learning_rate": 9.688785046728971e-05,
|
789 |
-
"loss": 0.0554,
|
790 |
-
"step": 1000
|
791 |
-
},
|
792 |
-
{
|
793 |
-
"epoch": 3.12,
|
794 |
-
"eval_accuracy": 0.8543689320388349,
|
795 |
-
"eval_loss": 0.5457024574279785,
|
796 |
-
"eval_runtime": 39.7583,
|
797 |
-
"eval_samples_per_second": 72.538,
|
798 |
-
"eval_steps_per_second": 9.08,
|
799 |
-
"step": 1000
|
800 |
-
},
|
801 |
-
{
|
802 |
-
"epoch": 3.15,
|
803 |
-
"grad_norm": 1.351655125617981,
|
804 |
-
"learning_rate": 9.685669781931464e-05,
|
805 |
-
"loss": 0.0568,
|
806 |
-
"step": 1010
|
807 |
-
},
|
808 |
-
{
|
809 |
-
"epoch": 3.18,
|
810 |
-
"grad_norm": 3.9608170986175537,
|
811 |
-
"learning_rate": 9.682554517133957e-05,
|
812 |
-
"loss": 0.1162,
|
813 |
-
"step": 1020
|
814 |
-
},
|
815 |
-
{
|
816 |
-
"epoch": 3.21,
|
817 |
-
"grad_norm": 6.9148783683776855,
|
818 |
-
"learning_rate": 9.679439252336449e-05,
|
819 |
-
"loss": 0.0587,
|
820 |
-
"step": 1030
|
821 |
-
},
|
822 |
-
{
|
823 |
-
"epoch": 3.24,
|
824 |
-
"grad_norm": 1.0946722030639648,
|
825 |
-
"learning_rate": 9.676323987538942e-05,
|
826 |
-
"loss": 0.0572,
|
827 |
-
"step": 1040
|
828 |
-
},
|
829 |
-
{
|
830 |
-
"epoch": 3.27,
|
831 |
-
"grad_norm": 9.527204513549805,
|
832 |
-
"learning_rate": 9.673208722741433e-05,
|
833 |
-
"loss": 0.1847,
|
834 |
-
"step": 1050
|
835 |
-
},
|
836 |
-
{
|
837 |
-
"epoch": 3.3,
|
838 |
-
"grad_norm": 7.0584716796875,
|
839 |
-
"learning_rate": 9.670093457943926e-05,
|
840 |
-
"loss": 0.1296,
|
841 |
-
"step": 1060
|
842 |
-
},
|
843 |
-
{
|
844 |
-
"epoch": 3.33,
|
845 |
-
"grad_norm": 7.145915985107422,
|
846 |
-
"learning_rate": 9.666978193146418e-05,
|
847 |
-
"loss": 0.1188,
|
848 |
-
"step": 1070
|
849 |
-
},
|
850 |
-
{
|
851 |
-
"epoch": 3.36,
|
852 |
-
"grad_norm": 7.105827808380127,
|
853 |
-
"learning_rate": 9.66386292834891e-05,
|
854 |
-
"loss": 0.099,
|
855 |
-
"step": 1080
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 3.4,
|
859 |
-
"grad_norm": 8.103167533874512,
|
860 |
-
"learning_rate": 9.660747663551402e-05,
|
861 |
-
"loss": 0.0874,
|
862 |
-
"step": 1090
|
863 |
-
},
|
864 |
-
{
|
865 |
-
"epoch": 3.43,
|
866 |
-
"grad_norm": 1.4485965967178345,
|
867 |
-
"learning_rate": 9.657632398753894e-05,
|
868 |
-
"loss": 0.1125,
|
869 |
-
"step": 1100
|
870 |
-
},
|
871 |
-
{
|
872 |
-
"epoch": 3.43,
|
873 |
-
"eval_accuracy": 0.8318307905686546,
|
874 |
-
"eval_loss": 0.7323819398880005,
|
875 |
-
"eval_runtime": 39.6414,
|
876 |
-
"eval_samples_per_second": 72.752,
|
877 |
-
"eval_steps_per_second": 9.107,
|
878 |
-
"step": 1100
|
879 |
-
},
|
880 |
-
{
|
881 |
-
"epoch": 3.43,
|
882 |
-
"step": 1100,
|
883 |
-
"total_flos": 1.362060245306622e+18,
|
884 |
-
"train_loss": 0.38896639000285754,
|
885 |
-
"train_runtime": 855.3091,
|
886 |
-
"train_samples_per_second": 599.549,
|
887 |
-
"train_steps_per_second": 37.53
|
888 |
}
|
889 |
],
|
890 |
-
"logging_steps":
|
891 |
"max_steps": 32100,
|
892 |
"num_input_tokens_seen": 0,
|
893 |
"num_train_epochs": 100,
|
894 |
"save_steps": 100,
|
895 |
-
"total_flos":
|
896 |
"train_batch_size": 16,
|
897 |
"trial_name": null,
|
898 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.49744343757629395,
|
3 |
+
"best_model_checkpoint": "./vit-lr-0.0001/checkpoint-400",
|
4 |
+
"epoch": 2.1806853582554515,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 700,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
{
|
12 |
"epoch": 0.31,
|
13 |
+
"grad_norm": 4.504175186157227,
|
14 |
+
"learning_rate": 9.999760543724762e-05,
|
15 |
+
"loss": 0.7774,
|
16 |
"step": 100
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.31,
|
20 |
+
"eval_accuracy": 0.7846740638002774,
|
21 |
+
"eval_loss": 0.5988100171089172,
|
22 |
+
"eval_runtime": 39.924,
|
23 |
+
"eval_samples_per_second": 72.237,
|
24 |
+
"eval_steps_per_second": 9.042,
|
25 |
"step": 100
|
26 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
{
|
28 |
"epoch": 0.62,
|
29 |
+
"grad_norm": 6.5739970207214355,
|
30 |
+
"learning_rate": 9.999042197834769e-05,
|
31 |
+
"loss": 0.59,
|
32 |
"step": 200
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.62,
|
36 |
+
"eval_accuracy": 0.7732316227461858,
|
37 |
+
"eval_loss": 0.6567931175231934,
|
38 |
+
"eval_runtime": 39.9411,
|
39 |
+
"eval_samples_per_second": 72.206,
|
40 |
+
"eval_steps_per_second": 9.038,
|
41 |
"step": 200
|
42 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
43 |
{
|
44 |
"epoch": 0.93,
|
45 |
+
"grad_norm": 6.0171613693237305,
|
46 |
+
"learning_rate": 9.997859372626506e-05,
|
47 |
+
"loss": 0.584,
|
48 |
"step": 300
|
49 |
},
|
50 |
{
|
51 |
"epoch": 0.93,
|
52 |
+
"eval_accuracy": 0.7562413314840499,
|
53 |
+
"eval_loss": 0.6686193346977234,
|
54 |
+
"eval_runtime": 40.0793,
|
55 |
+
"eval_samples_per_second": 71.957,
|
56 |
+
"eval_steps_per_second": 9.007,
|
57 |
"step": 300
|
58 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
59 |
{
|
60 |
"epoch": 1.25,
|
61 |
+
"grad_norm": 3.5295469760894775,
|
62 |
+
"learning_rate": 9.996188286127832e-05,
|
63 |
+
"loss": 0.4275,
|
64 |
"step": 400
|
65 |
},
|
66 |
{
|
67 |
"epoch": 1.25,
|
68 |
+
"eval_accuracy": 0.8169209431345353,
|
69 |
+
"eval_loss": 0.49744343757629395,
|
70 |
+
"eval_runtime": 39.8506,
|
71 |
+
"eval_samples_per_second": 72.37,
|
72 |
+
"eval_steps_per_second": 9.059,
|
73 |
"step": 400
|
74 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
75 |
{
|
76 |
"epoch": 1.56,
|
77 |
+
"grad_norm": 2.440728187561035,
|
78 |
+
"learning_rate": 9.994038652174203e-05,
|
79 |
+
"loss": 0.3963,
|
80 |
"step": 500
|
81 |
},
|
82 |
{
|
83 |
"epoch": 1.56,
|
84 |
+
"eval_accuracy": 0.8287101248266296,
|
85 |
+
"eval_loss": 0.507750391960144,
|
86 |
+
"eval_runtime": 39.6231,
|
87 |
+
"eval_samples_per_second": 72.786,
|
88 |
+
"eval_steps_per_second": 9.111,
|
89 |
"step": 500
|
90 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
91 |
{
|
92 |
"epoch": 1.87,
|
93 |
+
"grad_norm": 4.625945568084717,
|
94 |
+
"learning_rate": 9.991410676662952e-05,
|
95 |
+
"loss": 0.3708,
|
96 |
"step": 600
|
97 |
},
|
98 |
{
|
99 |
"epoch": 1.87,
|
100 |
"eval_accuracy": 0.794382801664355,
|
101 |
+
"eval_loss": 0.5709377527236938,
|
102 |
+
"eval_runtime": 39.6196,
|
103 |
+
"eval_samples_per_second": 72.792,
|
104 |
+
"eval_steps_per_second": 9.112,
|
105 |
"step": 600
|
106 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
107 |
{
|
108 |
"epoch": 2.18,
|
109 |
+
"grad_norm": 2.9291675090789795,
|
110 |
+
"learning_rate": 9.988304611308174e-05,
|
111 |
+
"loss": 0.2628,
|
112 |
"step": 700
|
113 |
},
|
114 |
{
|
115 |
"epoch": 2.18,
|
116 |
+
"eval_accuracy": 0.812760055478502,
|
117 |
+
"eval_loss": 0.6022083163261414,
|
118 |
+
"eval_runtime": 39.3146,
|
119 |
+
"eval_samples_per_second": 73.357,
|
120 |
+
"eval_steps_per_second": 9.182,
|
121 |
"step": 700
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 2.18,
|
125 |
+
"step": 700,
|
126 |
+
"total_flos": 8.667092503134536e+17,
|
127 |
+
"train_loss": 0.4869789886474609,
|
128 |
+
"train_runtime": 547.2513,
|
129 |
+
"train_samples_per_second": 937.047,
|
130 |
+
"train_steps_per_second": 58.657
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
131 |
}
|
132 |
],
|
133 |
+
"logging_steps": 100,
|
134 |
"max_steps": 32100,
|
135 |
"num_input_tokens_seen": 0,
|
136 |
"num_train_epochs": 100,
|
137 |
"save_steps": 100,
|
138 |
+
"total_flos": 8.667092503134536e+17,
|
139 |
"train_batch_size": 16,
|
140 |
"trial_name": null,
|
141 |
"trial_params": null
|