Model save
Browse files- README.md +1 -1
- all_results.json +5 -5
- model.safetensors +1 -1
- runs/Mar29_18-45-45_X5C922065N/events.out.tfevents.1711734345.X5C922065N.53009.7 +3 -0
- runs/Mar29_18-51-27_X5C922065N/events.out.tfevents.1711734707.X5C922065N.77198.0 +3 -0
- train_results.json +5 -5
- trainer_state.json +15 -885
- training_args.bin +1 -1
README.md
CHANGED
@@ -34,7 +34,7 @@ More information needed
|
|
34 |
|
35 |
The following hyperparameters were used during training:
|
36 |
- learning_rate: 0.0002
|
37 |
-
- train_batch_size:
|
38 |
- eval_batch_size: 8
|
39 |
- seed: 42
|
40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
34 |
|
35 |
The following hyperparameters were used during training:
|
36 |
- learning_rate: 0.0002
|
37 |
+
- train_batch_size: 16
|
38 |
- eval_batch_size: 8
|
39 |
- seed: 42
|
40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
all_results.json
CHANGED
@@ -5,9 +5,9 @@
|
|
5 |
"eval_runtime": 48.4901,
|
6 |
"eval_samples_per_second": 51.248,
|
7 |
"eval_steps_per_second": 6.414,
|
8 |
-
"total_flos":
|
9 |
-
"train_loss":
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
5 |
"eval_runtime": 48.4901,
|
6 |
"eval_samples_per_second": 51.248,
|
7 |
"eval_steps_per_second": 6.414,
|
8 |
+
"total_flos": 7439897757745152.0,
|
9 |
+
"train_loss": 2.0212895274162292,
|
10 |
+
"train_runtime": 7.7329,
|
11 |
+
"train_samples_per_second": 12.414,
|
12 |
+
"train_steps_per_second": 1.552
|
13 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343254736
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:17ae2382b9eca4f52fc4d17a9cb546b8971f310d461d0e085613297c710f7ff9
|
3 |
size 343254736
|
runs/Mar29_18-45-45_X5C922065N/events.out.tfevents.1711734345.X5C922065N.53009.7
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7e2c19225f69428b191c5ad332d0bce93b54ac73221e2934e3ffbf686d0a57b1
|
3 |
+
size 6106
|
runs/Mar29_18-51-27_X5C922065N/events.out.tfevents.1711734707.X5C922065N.77198.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:90a0ddc9125c1c57385b0ee044d4b2110eacca12fd4d08dea91f57269f606419
|
3 |
+
size 5898
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.0,
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.0,
|
3 |
+
"total_flos": 7439897757745152.0,
|
4 |
+
"train_loss": 2.0212895274162292,
|
5 |
+
"train_runtime": 7.7329,
|
6 |
+
"train_samples_per_second": 12.414,
|
7 |
+
"train_steps_per_second": 1.552
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,906 +1,36 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint":
|
4 |
"epoch": 4.0,
|
5 |
"eval_steps": 1000,
|
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":
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
-
{
|
19 |
-
"epoch": 0.06,
|
20 |
-
"grad_norm": 29.82047462463379,
|
21 |
-
"learning_rate": 0.00019678456591639874,
|
22 |
-
"loss": 0.2394,
|
23 |
-
"step": 20
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.1,
|
27 |
-
"grad_norm": 4.707005500793457,
|
28 |
-
"learning_rate": 0.00019517684887459809,
|
29 |
-
"loss": 0.234,
|
30 |
-
"step": 30
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 0.13,
|
34 |
-
"grad_norm": 13.66462516784668,
|
35 |
-
"learning_rate": 0.00019356913183279743,
|
36 |
-
"loss": 0.705,
|
37 |
-
"step": 40
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 0.16,
|
41 |
-
"grad_norm": 4.419419765472412,
|
42 |
-
"learning_rate": 0.00019196141479099678,
|
43 |
-
"loss": 0.6657,
|
44 |
-
"step": 50
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.19,
|
48 |
-
"grad_norm": 0.14946621656417847,
|
49 |
-
"learning_rate": 0.00019035369774919616,
|
50 |
-
"loss": 0.2407,
|
51 |
-
"step": 60
|
52 |
-
},
|
53 |
-
{
|
54 |
-
"epoch": 0.23,
|
55 |
-
"grad_norm": 2.8290460109710693,
|
56 |
-
"learning_rate": 0.0001887459807073955,
|
57 |
-
"loss": 0.3973,
|
58 |
-
"step": 70
|
59 |
-
},
|
60 |
-
{
|
61 |
-
"epoch": 0.26,
|
62 |
-
"grad_norm": 15.848897933959961,
|
63 |
-
"learning_rate": 0.00018713826366559486,
|
64 |
-
"loss": 0.2432,
|
65 |
-
"step": 80
|
66 |
-
},
|
67 |
-
{
|
68 |
-
"epoch": 0.29,
|
69 |
-
"grad_norm": 0.30860471725463867,
|
70 |
-
"learning_rate": 0.0001855305466237942,
|
71 |
-
"loss": 0.2732,
|
72 |
-
"step": 90
|
73 |
-
},
|
74 |
-
{
|
75 |
-
"epoch": 0.32,
|
76 |
-
"grad_norm": 14.233210563659668,
|
77 |
-
"learning_rate": 0.0001839228295819936,
|
78 |
-
"loss": 0.261,
|
79 |
-
"step": 100
|
80 |
-
},
|
81 |
-
{
|
82 |
-
"epoch": 0.35,
|
83 |
-
"grad_norm": 9.140750885009766,
|
84 |
-
"learning_rate": 0.00018231511254019294,
|
85 |
-
"loss": 0.1776,
|
86 |
-
"step": 110
|
87 |
-
},
|
88 |
-
{
|
89 |
-
"epoch": 0.39,
|
90 |
-
"grad_norm": 0.9528696537017822,
|
91 |
-
"learning_rate": 0.00018070739549839229,
|
92 |
-
"loss": 0.3849,
|
93 |
-
"step": 120
|
94 |
-
},
|
95 |
-
{
|
96 |
-
"epoch": 0.42,
|
97 |
-
"grad_norm": 21.716726303100586,
|
98 |
-
"learning_rate": 0.00017909967845659166,
|
99 |
-
"loss": 0.3328,
|
100 |
-
"step": 130
|
101 |
-
},
|
102 |
-
{
|
103 |
-
"epoch": 0.45,
|
104 |
-
"grad_norm": 7.960571765899658,
|
105 |
-
"learning_rate": 0.000177491961414791,
|
106 |
-
"loss": 0.5052,
|
107 |
-
"step": 140
|
108 |
-
},
|
109 |
-
{
|
110 |
-
"epoch": 0.48,
|
111 |
-
"grad_norm": 3.9136505126953125,
|
112 |
-
"learning_rate": 0.00017588424437299036,
|
113 |
-
"loss": 0.5026,
|
114 |
-
"step": 150
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 0.51,
|
118 |
-
"grad_norm": 14.131813049316406,
|
119 |
-
"learning_rate": 0.0001742765273311897,
|
120 |
-
"loss": 0.3997,
|
121 |
-
"step": 160
|
122 |
-
},
|
123 |
-
{
|
124 |
-
"epoch": 0.55,
|
125 |
-
"grad_norm": 13.529720306396484,
|
126 |
-
"learning_rate": 0.0001726688102893891,
|
127 |
-
"loss": 0.2877,
|
128 |
-
"step": 170
|
129 |
-
},
|
130 |
-
{
|
131 |
-
"epoch": 0.58,
|
132 |
-
"grad_norm": 6.182504653930664,
|
133 |
-
"learning_rate": 0.00017106109324758844,
|
134 |
-
"loss": 0.3408,
|
135 |
-
"step": 180
|
136 |
-
},
|
137 |
-
{
|
138 |
-
"epoch": 0.61,
|
139 |
-
"grad_norm": 0.17119653522968292,
|
140 |
-
"learning_rate": 0.0001694533762057878,
|
141 |
-
"loss": 0.2916,
|
142 |
-
"step": 190
|
143 |
-
},
|
144 |
-
{
|
145 |
-
"epoch": 0.64,
|
146 |
-
"grad_norm": 13.307029724121094,
|
147 |
-
"learning_rate": 0.00016784565916398716,
|
148 |
-
"loss": 0.3485,
|
149 |
-
"step": 200
|
150 |
-
},
|
151 |
-
{
|
152 |
-
"epoch": 0.68,
|
153 |
-
"grad_norm": 4.883426666259766,
|
154 |
-
"learning_rate": 0.0001662379421221865,
|
155 |
-
"loss": 0.3939,
|
156 |
-
"step": 210
|
157 |
-
},
|
158 |
-
{
|
159 |
-
"epoch": 0.71,
|
160 |
-
"grad_norm": 5.17271614074707,
|
161 |
-
"learning_rate": 0.00016463022508038586,
|
162 |
-
"loss": 0.4001,
|
163 |
-
"step": 220
|
164 |
-
},
|
165 |
-
{
|
166 |
-
"epoch": 0.74,
|
167 |
-
"grad_norm": 0.18887023627758026,
|
168 |
-
"learning_rate": 0.0001630225080385852,
|
169 |
-
"loss": 0.2459,
|
170 |
-
"step": 230
|
171 |
-
},
|
172 |
-
{
|
173 |
-
"epoch": 0.77,
|
174 |
-
"grad_norm": 0.3397394120693207,
|
175 |
-
"learning_rate": 0.0001614147909967846,
|
176 |
-
"loss": 0.3813,
|
177 |
-
"step": 240
|
178 |
-
},
|
179 |
-
{
|
180 |
-
"epoch": 0.8,
|
181 |
-
"grad_norm": 7.221404075622559,
|
182 |
-
"learning_rate": 0.00015980707395498394,
|
183 |
-
"loss": 0.2913,
|
184 |
-
"step": 250
|
185 |
-
},
|
186 |
-
{
|
187 |
-
"epoch": 0.84,
|
188 |
-
"grad_norm": 3.0032007694244385,
|
189 |
-
"learning_rate": 0.0001581993569131833,
|
190 |
-
"loss": 0.273,
|
191 |
-
"step": 260
|
192 |
-
},
|
193 |
-
{
|
194 |
-
"epoch": 0.87,
|
195 |
-
"grad_norm": 3.486640691757202,
|
196 |
-
"learning_rate": 0.00015659163987138264,
|
197 |
-
"loss": 0.5797,
|
198 |
-
"step": 270
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 0.9,
|
202 |
-
"grad_norm": 0.3199945092201233,
|
203 |
-
"learning_rate": 0.00015498392282958201,
|
204 |
-
"loss": 0.4904,
|
205 |
-
"step": 280
|
206 |
-
},
|
207 |
-
{
|
208 |
-
"epoch": 0.93,
|
209 |
-
"grad_norm": 38.1386833190918,
|
210 |
-
"learning_rate": 0.00015337620578778136,
|
211 |
-
"loss": 0.2789,
|
212 |
-
"step": 290
|
213 |
-
},
|
214 |
-
{
|
215 |
-
"epoch": 0.96,
|
216 |
-
"grad_norm": 3.608177661895752,
|
217 |
-
"learning_rate": 0.0001517684887459807,
|
218 |
-
"loss": 0.5587,
|
219 |
-
"step": 300
|
220 |
-
},
|
221 |
-
{
|
222 |
-
"epoch": 1.0,
|
223 |
-
"grad_norm": 0.1488448977470398,
|
224 |
-
"learning_rate": 0.0001501607717041801,
|
225 |
-
"loss": 0.3405,
|
226 |
-
"step": 310
|
227 |
-
},
|
228 |
-
{
|
229 |
-
"epoch": 1.03,
|
230 |
-
"grad_norm": 1.542035460472107,
|
231 |
-
"learning_rate": 0.00014855305466237944,
|
232 |
-
"loss": 0.2688,
|
233 |
-
"step": 320
|
234 |
-
},
|
235 |
-
{
|
236 |
-
"epoch": 1.06,
|
237 |
-
"grad_norm": 2.1089909076690674,
|
238 |
-
"learning_rate": 0.0001469453376205788,
|
239 |
-
"loss": 0.2085,
|
240 |
-
"step": 330
|
241 |
-
},
|
242 |
-
{
|
243 |
-
"epoch": 1.09,
|
244 |
-
"grad_norm": 11.16602897644043,
|
245 |
-
"learning_rate": 0.00014533762057877814,
|
246 |
-
"loss": 0.3437,
|
247 |
-
"step": 340
|
248 |
-
},
|
249 |
-
{
|
250 |
-
"epoch": 1.13,
|
251 |
-
"grad_norm": 2.2596559524536133,
|
252 |
-
"learning_rate": 0.00014372990353697752,
|
253 |
-
"loss": 0.337,
|
254 |
-
"step": 350
|
255 |
-
},
|
256 |
-
{
|
257 |
-
"epoch": 1.16,
|
258 |
-
"grad_norm": 2.616323947906494,
|
259 |
-
"learning_rate": 0.00014212218649517686,
|
260 |
-
"loss": 0.2074,
|
261 |
-
"step": 360
|
262 |
-
},
|
263 |
-
{
|
264 |
-
"epoch": 1.19,
|
265 |
-
"grad_norm": 0.5269195437431335,
|
266 |
-
"learning_rate": 0.00014051446945337621,
|
267 |
-
"loss": 0.0913,
|
268 |
-
"step": 370
|
269 |
-
},
|
270 |
-
{
|
271 |
-
"epoch": 1.22,
|
272 |
-
"grad_norm": 7.34785270690918,
|
273 |
-
"learning_rate": 0.0001389067524115756,
|
274 |
-
"loss": 0.1462,
|
275 |
-
"step": 380
|
276 |
-
},
|
277 |
-
{
|
278 |
-
"epoch": 1.25,
|
279 |
-
"grad_norm": 0.13304546475410461,
|
280 |
-
"learning_rate": 0.00013729903536977494,
|
281 |
-
"loss": 0.0303,
|
282 |
-
"step": 390
|
283 |
-
},
|
284 |
-
{
|
285 |
-
"epoch": 1.29,
|
286 |
-
"grad_norm": 0.42307400703430176,
|
287 |
-
"learning_rate": 0.0001356913183279743,
|
288 |
-
"loss": 0.2195,
|
289 |
-
"step": 400
|
290 |
-
},
|
291 |
-
{
|
292 |
-
"epoch": 1.32,
|
293 |
-
"grad_norm": 0.16662320494651794,
|
294 |
-
"learning_rate": 0.00013408360128617364,
|
295 |
-
"loss": 0.2999,
|
296 |
-
"step": 410
|
297 |
-
},
|
298 |
-
{
|
299 |
-
"epoch": 1.35,
|
300 |
-
"grad_norm": 35.579891204833984,
|
301 |
-
"learning_rate": 0.00013247588424437302,
|
302 |
-
"loss": 0.1194,
|
303 |
-
"step": 420
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 1.38,
|
307 |
-
"grad_norm": 3.4818050861358643,
|
308 |
-
"learning_rate": 0.00013086816720257237,
|
309 |
-
"loss": 0.1469,
|
310 |
-
"step": 430
|
311 |
-
},
|
312 |
-
{
|
313 |
-
"epoch": 1.41,
|
314 |
-
"grad_norm": 6.36860466003418,
|
315 |
-
"learning_rate": 0.00012926045016077172,
|
316 |
-
"loss": 0.2234,
|
317 |
-
"step": 440
|
318 |
-
},
|
319 |
-
{
|
320 |
-
"epoch": 1.45,
|
321 |
-
"grad_norm": 7.359828948974609,
|
322 |
-
"learning_rate": 0.00012765273311897106,
|
323 |
-
"loss": 0.2114,
|
324 |
-
"step": 450
|
325 |
-
},
|
326 |
-
{
|
327 |
-
"epoch": 1.48,
|
328 |
-
"grad_norm": 0.11759760975837708,
|
329 |
-
"learning_rate": 0.00012604501607717044,
|
330 |
-
"loss": 0.1059,
|
331 |
-
"step": 460
|
332 |
-
},
|
333 |
-
{
|
334 |
-
"epoch": 1.51,
|
335 |
-
"grad_norm": 0.049188051372766495,
|
336 |
-
"learning_rate": 0.0001244372990353698,
|
337 |
-
"loss": 0.207,
|
338 |
-
"step": 470
|
339 |
-
},
|
340 |
-
{
|
341 |
-
"epoch": 1.54,
|
342 |
-
"grad_norm": 0.06988845020532608,
|
343 |
-
"learning_rate": 0.00012282958199356914,
|
344 |
-
"loss": 0.1319,
|
345 |
-
"step": 480
|
346 |
-
},
|
347 |
-
{
|
348 |
-
"epoch": 1.58,
|
349 |
-
"grad_norm": 10.857504844665527,
|
350 |
-
"learning_rate": 0.0001212218649517685,
|
351 |
-
"loss": 0.3497,
|
352 |
-
"step": 490
|
353 |
-
},
|
354 |
-
{
|
355 |
-
"epoch": 1.61,
|
356 |
-
"grad_norm": 0.04112955555319786,
|
357 |
-
"learning_rate": 0.00011961414790996785,
|
358 |
-
"loss": 0.0711,
|
359 |
-
"step": 500
|
360 |
-
},
|
361 |
-
{
|
362 |
-
"epoch": 1.64,
|
363 |
-
"grad_norm": 20.134990692138672,
|
364 |
-
"learning_rate": 0.0001180064308681672,
|
365 |
-
"loss": 0.2654,
|
366 |
-
"step": 510
|
367 |
-
},
|
368 |
-
{
|
369 |
-
"epoch": 1.67,
|
370 |
-
"grad_norm": 0.03998303785920143,
|
371 |
-
"learning_rate": 0.00011639871382636655,
|
372 |
-
"loss": 0.0911,
|
373 |
-
"step": 520
|
374 |
-
},
|
375 |
-
{
|
376 |
-
"epoch": 1.7,
|
377 |
-
"grad_norm": 10.199617385864258,
|
378 |
-
"learning_rate": 0.00011479099678456593,
|
379 |
-
"loss": 0.1106,
|
380 |
-
"step": 530
|
381 |
-
},
|
382 |
-
{
|
383 |
-
"epoch": 1.74,
|
384 |
-
"grad_norm": 2.3347342014312744,
|
385 |
-
"learning_rate": 0.00011318327974276528,
|
386 |
-
"loss": 0.1948,
|
387 |
-
"step": 540
|
388 |
-
},
|
389 |
-
{
|
390 |
-
"epoch": 1.77,
|
391 |
-
"grad_norm": 15.492130279541016,
|
392 |
-
"learning_rate": 0.00011157556270096463,
|
393 |
-
"loss": 0.2999,
|
394 |
-
"step": 550
|
395 |
-
},
|
396 |
-
{
|
397 |
-
"epoch": 1.8,
|
398 |
-
"grad_norm": 16.2156982421875,
|
399 |
-
"learning_rate": 0.00010996784565916398,
|
400 |
-
"loss": 0.1792,
|
401 |
-
"step": 560
|
402 |
-
},
|
403 |
-
{
|
404 |
-
"epoch": 1.83,
|
405 |
-
"grad_norm": 3.9076225757598877,
|
406 |
-
"learning_rate": 0.00010836012861736335,
|
407 |
-
"loss": 0.4599,
|
408 |
-
"step": 570
|
409 |
-
},
|
410 |
-
{
|
411 |
-
"epoch": 1.86,
|
412 |
-
"grad_norm": 0.0662955567240715,
|
413 |
-
"learning_rate": 0.0001067524115755627,
|
414 |
-
"loss": 0.0834,
|
415 |
-
"step": 580
|
416 |
-
},
|
417 |
-
{
|
418 |
-
"epoch": 1.9,
|
419 |
-
"grad_norm": 0.43734121322631836,
|
420 |
-
"learning_rate": 0.00010514469453376205,
|
421 |
-
"loss": 0.1804,
|
422 |
-
"step": 590
|
423 |
-
},
|
424 |
-
{
|
425 |
-
"epoch": 1.93,
|
426 |
-
"grad_norm": 0.23478691279888153,
|
427 |
-
"learning_rate": 0.00010353697749196143,
|
428 |
-
"loss": 0.0831,
|
429 |
-
"step": 600
|
430 |
-
},
|
431 |
-
{
|
432 |
-
"epoch": 1.96,
|
433 |
-
"grad_norm": 8.97579574584961,
|
434 |
-
"learning_rate": 0.00010192926045016078,
|
435 |
-
"loss": 0.2141,
|
436 |
-
"step": 610
|
437 |
-
},
|
438 |
-
{
|
439 |
-
"epoch": 1.99,
|
440 |
-
"grad_norm": 5.947574615478516,
|
441 |
-
"learning_rate": 0.00010032154340836013,
|
442 |
-
"loss": 0.1059,
|
443 |
-
"step": 620
|
444 |
-
},
|
445 |
-
{
|
446 |
-
"epoch": 2.03,
|
447 |
-
"grad_norm": 0.3693161904811859,
|
448 |
-
"learning_rate": 9.871382636655949e-05,
|
449 |
-
"loss": 0.0478,
|
450 |
-
"step": 630
|
451 |
-
},
|
452 |
-
{
|
453 |
-
"epoch": 2.06,
|
454 |
-
"grad_norm": 0.33773139119148254,
|
455 |
-
"learning_rate": 9.710610932475884e-05,
|
456 |
-
"loss": 0.1512,
|
457 |
-
"step": 640
|
458 |
-
},
|
459 |
-
{
|
460 |
-
"epoch": 2.09,
|
461 |
-
"grad_norm": 0.07303290069103241,
|
462 |
-
"learning_rate": 9.54983922829582e-05,
|
463 |
-
"loss": 0.0746,
|
464 |
-
"step": 650
|
465 |
-
},
|
466 |
-
{
|
467 |
-
"epoch": 2.12,
|
468 |
-
"grad_norm": 0.021892189979553223,
|
469 |
-
"learning_rate": 9.389067524115757e-05,
|
470 |
-
"loss": 0.0071,
|
471 |
-
"step": 660
|
472 |
-
},
|
473 |
-
{
|
474 |
-
"epoch": 2.15,
|
475 |
-
"grad_norm": 0.699686586856842,
|
476 |
-
"learning_rate": 9.228295819935692e-05,
|
477 |
-
"loss": 0.08,
|
478 |
-
"step": 670
|
479 |
-
},
|
480 |
-
{
|
481 |
-
"epoch": 2.19,
|
482 |
-
"grad_norm": 1.7835339307785034,
|
483 |
-
"learning_rate": 9.067524115755628e-05,
|
484 |
-
"loss": 0.092,
|
485 |
-
"step": 680
|
486 |
-
},
|
487 |
-
{
|
488 |
-
"epoch": 2.22,
|
489 |
-
"grad_norm": 0.025796858593821526,
|
490 |
-
"learning_rate": 8.906752411575563e-05,
|
491 |
-
"loss": 0.041,
|
492 |
-
"step": 690
|
493 |
-
},
|
494 |
-
{
|
495 |
-
"epoch": 2.25,
|
496 |
-
"grad_norm": 11.788249969482422,
|
497 |
-
"learning_rate": 8.7459807073955e-05,
|
498 |
-
"loss": 0.0269,
|
499 |
-
"step": 700
|
500 |
-
},
|
501 |
-
{
|
502 |
-
"epoch": 2.28,
|
503 |
-
"grad_norm": 6.836824893951416,
|
504 |
-
"learning_rate": 8.585209003215434e-05,
|
505 |
-
"loss": 0.2086,
|
506 |
-
"step": 710
|
507 |
-
},
|
508 |
-
{
|
509 |
-
"epoch": 2.32,
|
510 |
-
"grad_norm": 0.02837471477687359,
|
511 |
-
"learning_rate": 8.42443729903537e-05,
|
512 |
-
"loss": 0.0828,
|
513 |
-
"step": 720
|
514 |
-
},
|
515 |
-
{
|
516 |
-
"epoch": 2.35,
|
517 |
-
"grad_norm": 0.04012266919016838,
|
518 |
-
"learning_rate": 8.263665594855306e-05,
|
519 |
-
"loss": 0.0057,
|
520 |
-
"step": 730
|
521 |
-
},
|
522 |
-
{
|
523 |
-
"epoch": 2.38,
|
524 |
-
"grad_norm": 0.05077001079916954,
|
525 |
-
"learning_rate": 8.102893890675242e-05,
|
526 |
-
"loss": 0.0116,
|
527 |
-
"step": 740
|
528 |
-
},
|
529 |
-
{
|
530 |
-
"epoch": 2.41,
|
531 |
-
"grad_norm": 0.08000744879245758,
|
532 |
-
"learning_rate": 7.942122186495177e-05,
|
533 |
-
"loss": 0.0305,
|
534 |
-
"step": 750
|
535 |
-
},
|
536 |
-
{
|
537 |
-
"epoch": 2.44,
|
538 |
-
"grad_norm": 0.03205496072769165,
|
539 |
-
"learning_rate": 7.781350482315113e-05,
|
540 |
-
"loss": 0.0451,
|
541 |
-
"step": 760
|
542 |
-
},
|
543 |
-
{
|
544 |
-
"epoch": 2.48,
|
545 |
-
"grad_norm": 0.027969710528850555,
|
546 |
-
"learning_rate": 7.62057877813505e-05,
|
547 |
-
"loss": 0.0779,
|
548 |
-
"step": 770
|
549 |
-
},
|
550 |
-
{
|
551 |
-
"epoch": 2.51,
|
552 |
-
"grad_norm": 3.297053098678589,
|
553 |
-
"learning_rate": 7.459807073954984e-05,
|
554 |
-
"loss": 0.028,
|
555 |
-
"step": 780
|
556 |
-
},
|
557 |
-
{
|
558 |
-
"epoch": 2.54,
|
559 |
-
"grad_norm": 1.8469219207763672,
|
560 |
-
"learning_rate": 7.299035369774921e-05,
|
561 |
-
"loss": 0.1222,
|
562 |
-
"step": 790
|
563 |
-
},
|
564 |
-
{
|
565 |
-
"epoch": 2.57,
|
566 |
-
"grad_norm": 0.5228595733642578,
|
567 |
-
"learning_rate": 7.138263665594856e-05,
|
568 |
-
"loss": 0.0087,
|
569 |
-
"step": 800
|
570 |
-
},
|
571 |
-
{
|
572 |
-
"epoch": 2.6,
|
573 |
-
"grad_norm": 0.028694279491901398,
|
574 |
-
"learning_rate": 6.977491961414792e-05,
|
575 |
-
"loss": 0.0053,
|
576 |
-
"step": 810
|
577 |
-
},
|
578 |
-
{
|
579 |
-
"epoch": 2.64,
|
580 |
-
"grad_norm": 0.026992863044142723,
|
581 |
-
"learning_rate": 6.816720257234727e-05,
|
582 |
-
"loss": 0.0065,
|
583 |
-
"step": 820
|
584 |
-
},
|
585 |
-
{
|
586 |
-
"epoch": 2.67,
|
587 |
-
"grad_norm": 1.996466040611267,
|
588 |
-
"learning_rate": 6.655948553054663e-05,
|
589 |
-
"loss": 0.0955,
|
590 |
-
"step": 830
|
591 |
-
},
|
592 |
-
{
|
593 |
-
"epoch": 2.7,
|
594 |
-
"grad_norm": 0.01983807235956192,
|
595 |
-
"learning_rate": 6.495176848874598e-05,
|
596 |
-
"loss": 0.1021,
|
597 |
-
"step": 840
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 2.73,
|
601 |
-
"grad_norm": 0.03182640299201012,
|
602 |
-
"learning_rate": 6.334405144694535e-05,
|
603 |
-
"loss": 0.1796,
|
604 |
-
"step": 850
|
605 |
-
},
|
606 |
-
{
|
607 |
-
"epoch": 2.77,
|
608 |
-
"grad_norm": 0.049088891595602036,
|
609 |
-
"learning_rate": 6.173633440514471e-05,
|
610 |
-
"loss": 0.0907,
|
611 |
-
"step": 860
|
612 |
-
},
|
613 |
-
{
|
614 |
-
"epoch": 2.8,
|
615 |
-
"grad_norm": 0.11043746769428253,
|
616 |
-
"learning_rate": 6.012861736334405e-05,
|
617 |
-
"loss": 0.0627,
|
618 |
-
"step": 870
|
619 |
-
},
|
620 |
-
{
|
621 |
-
"epoch": 2.83,
|
622 |
-
"grad_norm": 0.2206079512834549,
|
623 |
-
"learning_rate": 5.8520900321543414e-05,
|
624 |
-
"loss": 0.0412,
|
625 |
-
"step": 880
|
626 |
-
},
|
627 |
-
{
|
628 |
-
"epoch": 2.86,
|
629 |
-
"grad_norm": 0.02966146729886532,
|
630 |
-
"learning_rate": 5.6913183279742764e-05,
|
631 |
-
"loss": 0.1015,
|
632 |
-
"step": 890
|
633 |
-
},
|
634 |
-
{
|
635 |
-
"epoch": 2.89,
|
636 |
-
"grad_norm": 0.0345352403819561,
|
637 |
-
"learning_rate": 5.530546623794213e-05,
|
638 |
-
"loss": 0.0629,
|
639 |
-
"step": 900
|
640 |
-
},
|
641 |
-
{
|
642 |
-
"epoch": 2.93,
|
643 |
-
"grad_norm": 0.06348275393247604,
|
644 |
-
"learning_rate": 5.369774919614148e-05,
|
645 |
-
"loss": 0.0064,
|
646 |
-
"step": 910
|
647 |
-
},
|
648 |
-
{
|
649 |
-
"epoch": 2.96,
|
650 |
-
"grad_norm": 0.06559421122074127,
|
651 |
-
"learning_rate": 5.209003215434084e-05,
|
652 |
-
"loss": 0.0191,
|
653 |
-
"step": 920
|
654 |
-
},
|
655 |
-
{
|
656 |
-
"epoch": 2.99,
|
657 |
-
"grad_norm": 1.113765835762024,
|
658 |
-
"learning_rate": 5.048231511254019e-05,
|
659 |
-
"loss": 0.0259,
|
660 |
-
"step": 930
|
661 |
-
},
|
662 |
-
{
|
663 |
-
"epoch": 3.02,
|
664 |
-
"grad_norm": 0.02486424334347248,
|
665 |
-
"learning_rate": 4.887459807073955e-05,
|
666 |
-
"loss": 0.0049,
|
667 |
-
"step": 940
|
668 |
-
},
|
669 |
-
{
|
670 |
-
"epoch": 3.05,
|
671 |
-
"grad_norm": 0.7845320701599121,
|
672 |
-
"learning_rate": 4.726688102893891e-05,
|
673 |
-
"loss": 0.0043,
|
674 |
-
"step": 950
|
675 |
-
},
|
676 |
-
{
|
677 |
-
"epoch": 3.09,
|
678 |
-
"grad_norm": 0.021990863606333733,
|
679 |
-
"learning_rate": 4.5659163987138265e-05,
|
680 |
-
"loss": 0.0042,
|
681 |
-
"step": 960
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 3.12,
|
685 |
-
"grad_norm": 0.022443994879722595,
|
686 |
-
"learning_rate": 4.405144694533762e-05,
|
687 |
-
"loss": 0.0054,
|
688 |
-
"step": 970
|
689 |
-
},
|
690 |
-
{
|
691 |
-
"epoch": 3.15,
|
692 |
-
"grad_norm": 0.009742784313857555,
|
693 |
-
"learning_rate": 4.244372990353698e-05,
|
694 |
-
"loss": 0.0041,
|
695 |
-
"step": 980
|
696 |
-
},
|
697 |
-
{
|
698 |
-
"epoch": 3.18,
|
699 |
-
"grad_norm": 0.037747763097286224,
|
700 |
-
"learning_rate": 4.083601286173634e-05,
|
701 |
-
"loss": 0.0242,
|
702 |
-
"step": 990
|
703 |
-
},
|
704 |
-
{
|
705 |
-
"epoch": 3.22,
|
706 |
-
"grad_norm": 0.010466611944139004,
|
707 |
-
"learning_rate": 3.92282958199357e-05,
|
708 |
-
"loss": 0.0035,
|
709 |
-
"step": 1000
|
710 |
-
},
|
711 |
-
{
|
712 |
-
"epoch": 3.22,
|
713 |
-
"eval_accuracy": 0.9485530546623794,
|
714 |
-
"eval_loss": 0.21430718898773193,
|
715 |
-
"eval_runtime": 14.2198,
|
716 |
-
"eval_samples_per_second": 43.742,
|
717 |
-
"eval_steps_per_second": 5.485,
|
718 |
-
"step": 1000
|
719 |
-
},
|
720 |
-
{
|
721 |
-
"epoch": 3.25,
|
722 |
-
"grad_norm": 0.00991890113800764,
|
723 |
-
"learning_rate": 3.7620578778135054e-05,
|
724 |
-
"loss": 0.0039,
|
725 |
-
"step": 1010
|
726 |
-
},
|
727 |
-
{
|
728 |
-
"epoch": 3.28,
|
729 |
-
"grad_norm": 0.016740955412387848,
|
730 |
-
"learning_rate": 3.601286173633441e-05,
|
731 |
-
"loss": 0.0065,
|
732 |
-
"step": 1020
|
733 |
-
},
|
734 |
-
{
|
735 |
-
"epoch": 3.31,
|
736 |
-
"grad_norm": 0.03466745838522911,
|
737 |
-
"learning_rate": 3.4405144694533766e-05,
|
738 |
-
"loss": 0.099,
|
739 |
-
"step": 1030
|
740 |
-
},
|
741 |
-
{
|
742 |
-
"epoch": 3.34,
|
743 |
-
"grad_norm": 0.008615425787866116,
|
744 |
-
"learning_rate": 3.279742765273312e-05,
|
745 |
-
"loss": 0.0179,
|
746 |
-
"step": 1040
|
747 |
-
},
|
748 |
-
{
|
749 |
-
"epoch": 3.38,
|
750 |
-
"grad_norm": 0.05827281251549721,
|
751 |
-
"learning_rate": 3.118971061093248e-05,
|
752 |
-
"loss": 0.0041,
|
753 |
-
"step": 1050
|
754 |
-
},
|
755 |
-
{
|
756 |
-
"epoch": 3.41,
|
757 |
-
"grad_norm": 0.0276072658598423,
|
758 |
-
"learning_rate": 2.9581993569131832e-05,
|
759 |
-
"loss": 0.0036,
|
760 |
-
"step": 1060
|
761 |
-
},
|
762 |
-
{
|
763 |
-
"epoch": 3.44,
|
764 |
-
"grad_norm": 0.011412302032113075,
|
765 |
-
"learning_rate": 2.7974276527331188e-05,
|
766 |
-
"loss": 0.1013,
|
767 |
-
"step": 1070
|
768 |
-
},
|
769 |
-
{
|
770 |
-
"epoch": 3.47,
|
771 |
-
"grad_norm": 0.013982011005282402,
|
772 |
-
"learning_rate": 2.6366559485530545e-05,
|
773 |
-
"loss": 0.0058,
|
774 |
-
"step": 1080
|
775 |
-
},
|
776 |
-
{
|
777 |
-
"epoch": 3.5,
|
778 |
-
"grad_norm": 0.026057597249746323,
|
779 |
-
"learning_rate": 2.4758842443729904e-05,
|
780 |
-
"loss": 0.0077,
|
781 |
-
"step": 1090
|
782 |
-
},
|
783 |
-
{
|
784 |
-
"epoch": 3.54,
|
785 |
-
"grad_norm": 0.04853319376707077,
|
786 |
-
"learning_rate": 2.315112540192926e-05,
|
787 |
-
"loss": 0.0035,
|
788 |
-
"step": 1100
|
789 |
-
},
|
790 |
-
{
|
791 |
-
"epoch": 3.57,
|
792 |
-
"grad_norm": 0.013841088861227036,
|
793 |
-
"learning_rate": 2.154340836012862e-05,
|
794 |
-
"loss": 0.0208,
|
795 |
-
"step": 1110
|
796 |
-
},
|
797 |
-
{
|
798 |
-
"epoch": 3.6,
|
799 |
-
"grad_norm": 0.03845496475696564,
|
800 |
-
"learning_rate": 1.9935691318327977e-05,
|
801 |
-
"loss": 0.0038,
|
802 |
-
"step": 1120
|
803 |
-
},
|
804 |
-
{
|
805 |
-
"epoch": 3.63,
|
806 |
-
"grad_norm": 0.023922910913825035,
|
807 |
-
"learning_rate": 1.8327974276527333e-05,
|
808 |
-
"loss": 0.0032,
|
809 |
-
"step": 1130
|
810 |
-
},
|
811 |
-
{
|
812 |
-
"epoch": 3.67,
|
813 |
-
"grad_norm": 0.014864934608340263,
|
814 |
-
"learning_rate": 1.672025723472669e-05,
|
815 |
-
"loss": 0.0028,
|
816 |
-
"step": 1140
|
817 |
-
},
|
818 |
-
{
|
819 |
-
"epoch": 3.7,
|
820 |
-
"grad_norm": 0.05655550956726074,
|
821 |
-
"learning_rate": 1.5112540192926044e-05,
|
822 |
-
"loss": 0.0039,
|
823 |
-
"step": 1150
|
824 |
-
},
|
825 |
-
{
|
826 |
-
"epoch": 3.73,
|
827 |
-
"grad_norm": 0.012573642656207085,
|
828 |
-
"learning_rate": 1.3504823151125404e-05,
|
829 |
-
"loss": 0.0028,
|
830 |
-
"step": 1160
|
831 |
-
},
|
832 |
-
{
|
833 |
-
"epoch": 3.76,
|
834 |
-
"grad_norm": 0.022632773965597153,
|
835 |
-
"learning_rate": 1.189710610932476e-05,
|
836 |
-
"loss": 0.0033,
|
837 |
-
"step": 1170
|
838 |
-
},
|
839 |
-
{
|
840 |
-
"epoch": 3.79,
|
841 |
-
"grad_norm": 0.01279931515455246,
|
842 |
-
"learning_rate": 1.0289389067524116e-05,
|
843 |
-
"loss": 0.0238,
|
844 |
-
"step": 1180
|
845 |
-
},
|
846 |
-
{
|
847 |
-
"epoch": 3.83,
|
848 |
-
"grad_norm": 0.023662865161895752,
|
849 |
-
"learning_rate": 8.681672025723474e-06,
|
850 |
-
"loss": 0.0253,
|
851 |
-
"step": 1190
|
852 |
-
},
|
853 |
-
{
|
854 |
-
"epoch": 3.86,
|
855 |
-
"grad_norm": 0.017510054633021355,
|
856 |
-
"learning_rate": 7.07395498392283e-06,
|
857 |
-
"loss": 0.0047,
|
858 |
-
"step": 1200
|
859 |
-
},
|
860 |
-
{
|
861 |
-
"epoch": 3.89,
|
862 |
-
"grad_norm": 0.0257584135979414,
|
863 |
-
"learning_rate": 5.466237942122187e-06,
|
864 |
-
"loss": 0.004,
|
865 |
-
"step": 1210
|
866 |
-
},
|
867 |
-
{
|
868 |
-
"epoch": 3.92,
|
869 |
-
"grad_norm": 0.3079407513141632,
|
870 |
-
"learning_rate": 3.858520900321544e-06,
|
871 |
-
"loss": 0.085,
|
872 |
-
"step": 1220
|
873 |
-
},
|
874 |
-
{
|
875 |
-
"epoch": 3.95,
|
876 |
-
"grad_norm": 0.00990583747625351,
|
877 |
-
"learning_rate": 2.2508038585209006e-06,
|
878 |
-
"loss": 0.0029,
|
879 |
-
"step": 1230
|
880 |
-
},
|
881 |
-
{
|
882 |
-
"epoch": 3.99,
|
883 |
-
"grad_norm": 0.011738813482224941,
|
884 |
-
"learning_rate": 6.430868167202573e-07,
|
885 |
-
"loss": 0.034,
|
886 |
-
"step": 1240
|
887 |
-
},
|
888 |
{
|
889 |
"epoch": 4.0,
|
890 |
-
"step":
|
891 |
-
"total_flos":
|
892 |
-
"train_loss":
|
893 |
-
"train_runtime":
|
894 |
-
"train_samples_per_second":
|
895 |
-
"train_steps_per_second":
|
896 |
}
|
897 |
],
|
898 |
"logging_steps": 10,
|
899 |
-
"max_steps":
|
900 |
"num_input_tokens_seen": 0,
|
901 |
"num_train_epochs": 4,
|
902 |
"save_steps": 1000,
|
903 |
-
"total_flos":
|
904 |
"train_batch_size": 8,
|
905 |
"trial_name": null,
|
906 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
"epoch": 4.0,
|
5 |
"eval_steps": 1000,
|
6 |
+
"global_step": 12,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 3.33,
|
13 |
+
"grad_norm": 2.8058300018310547,
|
14 |
+
"learning_rate": 3.3333333333333335e-05,
|
15 |
+
"loss": 2.1093,
|
16 |
"step": 10
|
17 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
{
|
19 |
"epoch": 4.0,
|
20 |
+
"step": 12,
|
21 |
+
"total_flos": 7439897757745152.0,
|
22 |
+
"train_loss": 2.0212895274162292,
|
23 |
+
"train_runtime": 7.7329,
|
24 |
+
"train_samples_per_second": 12.414,
|
25 |
+
"train_steps_per_second": 1.552
|
26 |
}
|
27 |
],
|
28 |
"logging_steps": 10,
|
29 |
+
"max_steps": 12,
|
30 |
"num_input_tokens_seen": 0,
|
31 |
"num_train_epochs": 4,
|
32 |
"save_steps": 1000,
|
33 |
+
"total_flos": 7439897757745152.0,
|
34 |
"train_batch_size": 8,
|
35 |
"trial_name": null,
|
36 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a661c95712059d0902cb2770fd16a90f1cd9488c7804b9523f02c0e91000074b
|
3 |
size 4920
|