Training in progress, step 2400, checkpoint
Browse files
checkpoint-2400/adapter_config.json
CHANGED
@@ -23,13 +23,13 @@
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
26 |
-
"o_proj",
|
27 |
-
"down_proj",
|
28 |
"gate_proj",
|
29 |
"k_proj",
|
|
|
|
|
30 |
"q_proj",
|
31 |
-
"
|
32 |
-
"
|
33 |
],
|
34 |
"task_type": "CAUSAL_LM",
|
35 |
"use_dora": false,
|
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
|
|
|
|
26 |
"gate_proj",
|
27 |
"k_proj",
|
28 |
+
"o_proj",
|
29 |
+
"up_proj",
|
30 |
"q_proj",
|
31 |
+
"down_proj",
|
32 |
+
"v_proj"
|
33 |
],
|
34 |
"task_type": "CAUSAL_LM",
|
35 |
"use_dora": false,
|
checkpoint-2400/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 145287696
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dd2f50bd0c61ef5f6576a80600b11f1a4faf4c6914126c6f5edb142694ed6033
|
3 |
size 145287696
|
checkpoint-2400/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 290833618
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15636881e51b457cedd1c74a9ab9c8afe430fb8b78cfa8dd8d439f88302a27bc
|
3 |
size 290833618
|
checkpoint-2400/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a4e394c16753f4ac81bab15afbd1681549f226463782d3a38eb05f3141b0233
|
3 |
size 14244
|
checkpoint-2400/trainer_state.json
CHANGED
@@ -10,2066 +10,2066 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.010869565217391304,
|
13 |
-
"grad_norm": 2.
|
14 |
"learning_rate": 4.981884057971015e-05,
|
15 |
-
"loss": 2.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.021739130434782608,
|
20 |
-
"grad_norm": 1.
|
21 |
"learning_rate": 4.963768115942029e-05,
|
22 |
-
"loss": 1.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.03260869565217391,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 4.945652173913044e-05,
|
29 |
-
"loss": 0.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.043478260869565216,
|
34 |
-
"grad_norm": 1.
|
35 |
"learning_rate": 4.9275362318840584e-05,
|
36 |
-
"loss": 0.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05434782608695652,
|
41 |
-
"grad_norm": 0.
|
42 |
"learning_rate": 4.909420289855073e-05,
|
43 |
-
"loss": 0.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.05434782608695652,
|
48 |
-
"eval_loss": 0.
|
49 |
-
"eval_runtime": 10.
|
50 |
-
"eval_samples_per_second":
|
51 |
-
"eval_steps_per_second": 2.
|
52 |
"step": 50
|
53 |
},
|
54 |
{
|
55 |
"epoch": 0.06521739130434782,
|
56 |
-
"grad_norm": 0.
|
57 |
"learning_rate": 4.891304347826087e-05,
|
58 |
-
"loss": 0.
|
59 |
"step": 60
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.07608695652173914,
|
63 |
-
"grad_norm": 0.
|
64 |
"learning_rate": 4.873188405797102e-05,
|
65 |
-
"loss": 0.
|
66 |
"step": 70
|
67 |
},
|
68 |
{
|
69 |
"epoch": 0.08695652173913043,
|
70 |
-
"grad_norm": 0.
|
71 |
"learning_rate": 4.855072463768116e-05,
|
72 |
-
"loss": 0.
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
"epoch": 0.09782608695652174,
|
77 |
-
"grad_norm": 0.
|
78 |
"learning_rate": 4.836956521739131e-05,
|
79 |
-
"loss": 0.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.10869565217391304,
|
84 |
-
"grad_norm": 0.
|
85 |
"learning_rate": 4.818840579710145e-05,
|
86 |
-
"loss": 0.
|
87 |
"step": 100
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.10869565217391304,
|
91 |
-
"eval_loss": 0.
|
92 |
-
"eval_runtime": 10.
|
93 |
-
"eval_samples_per_second":
|
94 |
-
"eval_steps_per_second": 2.
|
95 |
"step": 100
|
96 |
},
|
97 |
{
|
98 |
"epoch": 0.11956521739130435,
|
99 |
-
"grad_norm": 0.
|
100 |
"learning_rate": 4.80072463768116e-05,
|
101 |
-
"loss": 0.
|
102 |
"step": 110
|
103 |
},
|
104 |
{
|
105 |
"epoch": 0.13043478260869565,
|
106 |
-
"grad_norm": 0.
|
107 |
"learning_rate": 4.782608695652174e-05,
|
108 |
-
"loss": 0.
|
109 |
"step": 120
|
110 |
},
|
111 |
{
|
112 |
"epoch": 0.14130434782608695,
|
113 |
-
"grad_norm": 0.
|
114 |
"learning_rate": 4.764492753623189e-05,
|
115 |
-
"loss": 0.
|
116 |
"step": 130
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.15217391304347827,
|
120 |
-
"grad_norm": 0.
|
121 |
"learning_rate": 4.746376811594203e-05,
|
122 |
-
"loss": 0.
|
123 |
"step": 140
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.16304347826086957,
|
127 |
-
"grad_norm": 0.
|
128 |
"learning_rate": 4.7282608695652177e-05,
|
129 |
-
"loss": 0.
|
130 |
"step": 150
|
131 |
},
|
132 |
{
|
133 |
"epoch": 0.16304347826086957,
|
134 |
-
"eval_loss": 0.
|
135 |
-
"eval_runtime": 10.
|
136 |
-
"eval_samples_per_second":
|
137 |
-
"eval_steps_per_second": 2.
|
138 |
"step": 150
|
139 |
},
|
140 |
{
|
141 |
"epoch": 0.17391304347826086,
|
142 |
-
"grad_norm": 0.
|
143 |
"learning_rate": 4.710144927536232e-05,
|
144 |
-
"loss": 0.
|
145 |
"step": 160
|
146 |
},
|
147 |
{
|
148 |
"epoch": 0.18478260869565216,
|
149 |
-
"grad_norm": 0.
|
150 |
"learning_rate": 4.6920289855072464e-05,
|
151 |
-
"loss": 0.
|
152 |
"step": 170
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.1956521739130435,
|
156 |
-
"grad_norm": 0.
|
157 |
"learning_rate": 4.673913043478261e-05,
|
158 |
-
"loss": 0.
|
159 |
"step": 180
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.20652173913043478,
|
163 |
-
"grad_norm": 0.
|
164 |
"learning_rate": 4.655797101449276e-05,
|
165 |
-
"loss": 0.
|
166 |
"step": 190
|
167 |
},
|
168 |
{
|
169 |
"epoch": 0.21739130434782608,
|
170 |
-
"grad_norm": 0.
|
171 |
"learning_rate": 4.63768115942029e-05,
|
172 |
-
"loss": 0.
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
"epoch": 0.21739130434782608,
|
177 |
-
"eval_loss": 0.
|
178 |
-
"eval_runtime": 10.
|
179 |
-
"eval_samples_per_second":
|
180 |
-
"eval_steps_per_second": 2.
|
181 |
"step": 200
|
182 |
},
|
183 |
{
|
184 |
"epoch": 0.22826086956521738,
|
185 |
-
"grad_norm": 0.
|
186 |
"learning_rate": 4.6195652173913046e-05,
|
187 |
-
"loss": 0.
|
188 |
"step": 210
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.2391304347826087,
|
192 |
-
"grad_norm": 0.
|
193 |
"learning_rate": 4.601449275362319e-05,
|
194 |
-
"loss": 0.
|
195 |
"step": 220
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.25,
|
199 |
-
"grad_norm": 0.
|
200 |
"learning_rate": 4.5833333333333334e-05,
|
201 |
-
"loss": 0.
|
202 |
"step": 230
|
203 |
},
|
204 |
{
|
205 |
"epoch": 0.2608695652173913,
|
206 |
-
"grad_norm": 0.
|
207 |
"learning_rate": 4.565217391304348e-05,
|
208 |
-
"loss": 0.
|
209 |
"step": 240
|
210 |
},
|
211 |
{
|
212 |
"epoch": 0.2717391304347826,
|
213 |
-
"grad_norm": 0.
|
214 |
"learning_rate": 4.547101449275363e-05,
|
215 |
-
"loss": 0.
|
216 |
"step": 250
|
217 |
},
|
218 |
{
|
219 |
"epoch": 0.2717391304347826,
|
220 |
-
"eval_loss": 0.
|
221 |
-
"eval_runtime": 10.
|
222 |
-
"eval_samples_per_second":
|
223 |
-
"eval_steps_per_second": 2.
|
224 |
"step": 250
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.2826086956521739,
|
228 |
-
"grad_norm": 0.
|
229 |
"learning_rate": 4.528985507246377e-05,
|
230 |
-
"loss": 0.
|
231 |
"step": 260
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.29347826086956524,
|
235 |
-
"grad_norm": 0.
|
236 |
"learning_rate": 4.5108695652173916e-05,
|
237 |
-
"loss": 0.
|
238 |
"step": 270
|
239 |
},
|
240 |
{
|
241 |
"epoch": 0.30434782608695654,
|
242 |
-
"grad_norm": 0.
|
243 |
"learning_rate": 4.492753623188406e-05,
|
244 |
-
"loss": 0.
|
245 |
"step": 280
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.31521739130434784,
|
249 |
-
"grad_norm":
|
250 |
"learning_rate": 4.4746376811594203e-05,
|
251 |
-
"loss": 0.
|
252 |
"step": 290
|
253 |
},
|
254 |
{
|
255 |
"epoch": 0.32608695652173914,
|
256 |
-
"grad_norm": 0.
|
257 |
"learning_rate": 4.456521739130435e-05,
|
258 |
-
"loss": 0.
|
259 |
"step": 300
|
260 |
},
|
261 |
{
|
262 |
"epoch": 0.32608695652173914,
|
263 |
-
"eval_loss": 0.
|
264 |
-
"eval_runtime": 10.
|
265 |
-
"eval_samples_per_second":
|
266 |
-
"eval_steps_per_second": 2.
|
267 |
"step": 300
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.33695652173913043,
|
271 |
-
"grad_norm": 0.
|
272 |
"learning_rate": 4.438405797101449e-05,
|
273 |
-
"loss": 0.
|
274 |
"step": 310
|
275 |
},
|
276 |
{
|
277 |
"epoch": 0.34782608695652173,
|
278 |
-
"grad_norm": 0.
|
279 |
"learning_rate": 4.4202898550724645e-05,
|
280 |
-
"loss": 0.
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
"epoch": 0.358695652173913,
|
285 |
-
"grad_norm":
|
286 |
"learning_rate": 4.4021739130434786e-05,
|
287 |
-
"loss": 0.
|
288 |
"step": 330
|
289 |
},
|
290 |
{
|
291 |
"epoch": 0.3695652173913043,
|
292 |
-
"grad_norm": 0.
|
293 |
"learning_rate": 4.384057971014493e-05,
|
294 |
-
"loss": 0.
|
295 |
"step": 340
|
296 |
},
|
297 |
{
|
298 |
"epoch": 0.3804347826086957,
|
299 |
-
"grad_norm":
|
300 |
"learning_rate": 4.365942028985507e-05,
|
301 |
-
"loss": 0.
|
302 |
"step": 350
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.3804347826086957,
|
306 |
-
"eval_loss": 0.
|
307 |
-
"eval_runtime": 10.
|
308 |
-
"eval_samples_per_second":
|
309 |
-
"eval_steps_per_second": 2.
|
310 |
"step": 350
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.391304347826087,
|
314 |
-
"grad_norm": 0.
|
315 |
"learning_rate": 4.347826086956522e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 360
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.40217391304347827,
|
321 |
-
"grad_norm": 0.
|
322 |
"learning_rate": 4.329710144927536e-05,
|
323 |
-
"loss": 0.
|
324 |
"step": 370
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.41304347826086957,
|
328 |
-
"grad_norm":
|
329 |
"learning_rate": 4.3115942028985515e-05,
|
330 |
-
"loss": 0.
|
331 |
"step": 380
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.42391304347826086,
|
335 |
-
"grad_norm": 0.
|
336 |
"learning_rate": 4.2934782608695655e-05,
|
337 |
-
"loss": 0.
|
338 |
"step": 390
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.43478260869565216,
|
342 |
-
"grad_norm": 0.
|
343 |
"learning_rate": 4.27536231884058e-05,
|
344 |
-
"loss": 0.
|
345 |
"step": 400
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.43478260869565216,
|
349 |
-
"eval_loss": 0.
|
350 |
-
"eval_runtime": 10.
|
351 |
-
"eval_samples_per_second":
|
352 |
-
"eval_steps_per_second": 2.
|
353 |
"step": 400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 0.44565217391304346,
|
357 |
-
"grad_norm":
|
358 |
"learning_rate": 4.257246376811594e-05,
|
359 |
-
"loss": 0.
|
360 |
"step": 410
|
361 |
},
|
362 |
{
|
363 |
"epoch": 0.45652173913043476,
|
364 |
-
"grad_norm": 0.
|
365 |
"learning_rate": 4.239130434782609e-05,
|
366 |
-
"loss": 0.
|
367 |
"step": 420
|
368 |
},
|
369 |
{
|
370 |
"epoch": 0.4673913043478261,
|
371 |
-
"grad_norm": 0.
|
372 |
"learning_rate": 4.221014492753623e-05,
|
373 |
-
"loss": 0.
|
374 |
"step": 430
|
375 |
},
|
376 |
{
|
377 |
"epoch": 0.4782608695652174,
|
378 |
-
"grad_norm": 0.
|
379 |
"learning_rate": 4.202898550724638e-05,
|
380 |
-
"loss": 0.
|
381 |
"step": 440
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.4891304347826087,
|
385 |
-
"grad_norm": 0.
|
386 |
"learning_rate": 4.1847826086956525e-05,
|
387 |
-
"loss": 0.
|
388 |
"step": 450
|
389 |
},
|
390 |
{
|
391 |
"epoch": 0.4891304347826087,
|
392 |
-
"eval_loss": 0.
|
393 |
-
"eval_runtime": 10.
|
394 |
-
"eval_samples_per_second":
|
395 |
-
"eval_steps_per_second": 2.
|
396 |
"step": 450
|
397 |
},
|
398 |
{
|
399 |
"epoch": 0.5,
|
400 |
-
"grad_norm": 0.
|
401 |
"learning_rate": 4.166666666666667e-05,
|
402 |
-
"loss": 0.
|
403 |
"step": 460
|
404 |
},
|
405 |
{
|
406 |
"epoch": 0.5108695652173914,
|
407 |
-
"grad_norm": 0.
|
408 |
"learning_rate": 4.148550724637681e-05,
|
409 |
-
"loss": 0.
|
410 |
"step": 470
|
411 |
},
|
412 |
{
|
413 |
"epoch": 0.5217391304347826,
|
414 |
-
"grad_norm": 0.
|
415 |
"learning_rate": 4.130434782608696e-05,
|
416 |
-
"loss": 0.
|
417 |
"step": 480
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.532608695652174,
|
421 |
-
"grad_norm": 0.
|
422 |
"learning_rate": 4.11231884057971e-05,
|
423 |
-
"loss": 0.
|
424 |
"step": 490
|
425 |
},
|
426 |
{
|
427 |
"epoch": 0.5434782608695652,
|
428 |
-
"grad_norm": 0.
|
429 |
"learning_rate": 4.094202898550725e-05,
|
430 |
-
"loss": 0.
|
431 |
"step": 500
|
432 |
},
|
433 |
{
|
434 |
"epoch": 0.5434782608695652,
|
435 |
-
"eval_loss": 0.
|
436 |
-
"eval_runtime": 10.
|
437 |
-
"eval_samples_per_second":
|
438 |
-
"eval_steps_per_second": 2.
|
439 |
"step": 500
|
440 |
},
|
441 |
{
|
442 |
"epoch": 0.5543478260869565,
|
443 |
-
"grad_norm": 0.
|
444 |
"learning_rate": 4.076086956521739e-05,
|
445 |
-
"loss": 0.
|
446 |
"step": 510
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.5652173913043478,
|
450 |
-
"grad_norm": 0.
|
451 |
"learning_rate": 4.057971014492754e-05,
|
452 |
-
"loss": 0.
|
453 |
"step": 520
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.5760869565217391,
|
457 |
-
"grad_norm":
|
458 |
"learning_rate": 4.039855072463768e-05,
|
459 |
-
"loss": 0.
|
460 |
"step": 530
|
461 |
},
|
462 |
{
|
463 |
"epoch": 0.5869565217391305,
|
464 |
-
"grad_norm": 0.
|
465 |
"learning_rate": 4.021739130434783e-05,
|
466 |
-
"loss": 0.
|
467 |
"step": 540
|
468 |
},
|
469 |
{
|
470 |
"epoch": 0.5978260869565217,
|
471 |
-
"grad_norm": 0.
|
472 |
"learning_rate": 4.003623188405797e-05,
|
473 |
-
"loss": 0.
|
474 |
"step": 550
|
475 |
},
|
476 |
{
|
477 |
"epoch": 0.5978260869565217,
|
478 |
-
"eval_loss": 0.
|
479 |
-
"eval_runtime": 10.
|
480 |
-
"eval_samples_per_second":
|
481 |
-
"eval_steps_per_second": 2.
|
482 |
"step": 550
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.6086956521739131,
|
486 |
-
"grad_norm":
|
487 |
"learning_rate": 3.985507246376812e-05,
|
488 |
-
"loss": 0.
|
489 |
"step": 560
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.6195652173913043,
|
493 |
-
"grad_norm": 0.
|
494 |
"learning_rate": 3.9673913043478264e-05,
|
495 |
-
"loss": 0.
|
496 |
"step": 570
|
497 |
},
|
498 |
{
|
499 |
"epoch": 0.6304347826086957,
|
500 |
-
"grad_norm":
|
501 |
"learning_rate": 3.9492753623188405e-05,
|
502 |
-
"loss": 0.
|
503 |
"step": 580
|
504 |
},
|
505 |
{
|
506 |
"epoch": 0.6413043478260869,
|
507 |
-
"grad_norm":
|
508 |
"learning_rate": 3.931159420289855e-05,
|
509 |
-
"loss": 0.
|
510 |
"step": 590
|
511 |
},
|
512 |
{
|
513 |
"epoch": 0.6521739130434783,
|
514 |
-
"grad_norm": 0.
|
515 |
"learning_rate": 3.91304347826087e-05,
|
516 |
-
"loss": 0.
|
517 |
"step": 600
|
518 |
},
|
519 |
{
|
520 |
"epoch": 0.6521739130434783,
|
521 |
-
"eval_loss": 0.
|
522 |
-
"eval_runtime": 10.
|
523 |
-
"eval_samples_per_second":
|
524 |
-
"eval_steps_per_second": 2.
|
525 |
"step": 600
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.6630434782608695,
|
529 |
-
"grad_norm":
|
530 |
"learning_rate": 3.8949275362318846e-05,
|
531 |
-
"loss": 0.
|
532 |
"step": 610
|
533 |
},
|
534 |
{
|
535 |
"epoch": 0.6739130434782609,
|
536 |
-
"grad_norm": 0.
|
537 |
"learning_rate": 3.876811594202899e-05,
|
538 |
-
"loss": 0.
|
539 |
"step": 620
|
540 |
},
|
541 |
{
|
542 |
"epoch": 0.6847826086956522,
|
543 |
-
"grad_norm": 0.
|
544 |
"learning_rate": 3.8586956521739134e-05,
|
545 |
-
"loss": 0.
|
546 |
"step": 630
|
547 |
},
|
548 |
{
|
549 |
"epoch": 0.6956521739130435,
|
550 |
-
"grad_norm": 0.
|
551 |
"learning_rate": 3.8405797101449274e-05,
|
552 |
-
"loss": 0.
|
553 |
"step": 640
|
554 |
},
|
555 |
{
|
556 |
"epoch": 0.7065217391304348,
|
557 |
-
"grad_norm": 0.
|
558 |
"learning_rate": 3.822463768115942e-05,
|
559 |
-
"loss": 0.
|
560 |
"step": 650
|
561 |
},
|
562 |
{
|
563 |
"epoch": 0.7065217391304348,
|
564 |
-
"eval_loss": 0.
|
565 |
-
"eval_runtime": 10.
|
566 |
-
"eval_samples_per_second":
|
567 |
-
"eval_steps_per_second": 2.
|
568 |
"step": 650
|
569 |
},
|
570 |
{
|
571 |
"epoch": 0.717391304347826,
|
572 |
-
"grad_norm": 0.
|
573 |
"learning_rate": 3.804347826086957e-05,
|
574 |
-
"loss": 0.
|
575 |
"step": 660
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.7282608695652174,
|
579 |
-
"grad_norm":
|
580 |
"learning_rate": 3.7862318840579716e-05,
|
581 |
-
"loss": 0.
|
582 |
"step": 670
|
583 |
},
|
584 |
{
|
585 |
"epoch": 0.7391304347826086,
|
586 |
-
"grad_norm": 0.
|
587 |
"learning_rate": 3.7681159420289856e-05,
|
588 |
-
"loss": 0.
|
589 |
"step": 680
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.75,
|
593 |
-
"grad_norm":
|
594 |
"learning_rate": 3.7500000000000003e-05,
|
595 |
-
"loss": 0.
|
596 |
"step": 690
|
597 |
},
|
598 |
{
|
599 |
"epoch": 0.7608695652173914,
|
600 |
-
"grad_norm": 0.
|
601 |
"learning_rate": 3.7318840579710144e-05,
|
602 |
-
"loss": 0.
|
603 |
"step": 700
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.7608695652173914,
|
607 |
-
"eval_loss": 0.
|
608 |
-
"eval_runtime": 10.
|
609 |
-
"eval_samples_per_second":
|
610 |
-
"eval_steps_per_second": 2.
|
611 |
"step": 700
|
612 |
},
|
613 |
{
|
614 |
"epoch": 0.7717391304347826,
|
615 |
-
"grad_norm":
|
616 |
"learning_rate": 3.713768115942029e-05,
|
617 |
-
"loss": 0.
|
618 |
"step": 710
|
619 |
},
|
620 |
{
|
621 |
"epoch": 0.782608695652174,
|
622 |
-
"grad_norm":
|
623 |
"learning_rate": 3.695652173913043e-05,
|
624 |
-
"loss": 0.
|
625 |
"step": 720
|
626 |
},
|
627 |
{
|
628 |
"epoch": 0.7934782608695652,
|
629 |
-
"grad_norm": 0.
|
630 |
"learning_rate": 3.6775362318840586e-05,
|
631 |
-
"loss": 0.
|
632 |
"step": 730
|
633 |
},
|
634 |
{
|
635 |
"epoch": 0.8043478260869565,
|
636 |
-
"grad_norm":
|
637 |
"learning_rate": 3.6594202898550726e-05,
|
638 |
-
"loss": 0.
|
639 |
"step": 740
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.8152173913043478,
|
643 |
-
"grad_norm": 0.
|
644 |
"learning_rate": 3.641304347826087e-05,
|
645 |
-
"loss": 0.
|
646 |
"step": 750
|
647 |
},
|
648 |
{
|
649 |
"epoch": 0.8152173913043478,
|
650 |
-
"eval_loss": 0.
|
651 |
-
"eval_runtime": 10.
|
652 |
-
"eval_samples_per_second":
|
653 |
-
"eval_steps_per_second": 2.
|
654 |
"step": 750
|
655 |
},
|
656 |
{
|
657 |
"epoch": 0.8260869565217391,
|
658 |
-
"grad_norm":
|
659 |
"learning_rate": 3.6231884057971014e-05,
|
660 |
-
"loss": 0.
|
661 |
"step": 760
|
662 |
},
|
663 |
{
|
664 |
"epoch": 0.8369565217391305,
|
665 |
-
"grad_norm":
|
666 |
"learning_rate": 3.605072463768116e-05,
|
667 |
-
"loss": 0.
|
668 |
"step": 770
|
669 |
},
|
670 |
{
|
671 |
"epoch": 0.8478260869565217,
|
672 |
-
"grad_norm":
|
673 |
"learning_rate": 3.58695652173913e-05,
|
674 |
-
"loss": 0.
|
675 |
"step": 780
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.8586956521739131,
|
679 |
-
"grad_norm": 0.
|
680 |
"learning_rate": 3.568840579710145e-05,
|
681 |
-
"loss": 0.
|
682 |
"step": 790
|
683 |
},
|
684 |
{
|
685 |
"epoch": 0.8695652173913043,
|
686 |
-
"grad_norm": 0.
|
687 |
"learning_rate": 3.5507246376811596e-05,
|
688 |
-
"loss": 0.
|
689 |
"step": 800
|
690 |
},
|
691 |
{
|
692 |
"epoch": 0.8695652173913043,
|
693 |
-
"eval_loss": 0.
|
694 |
-
"eval_runtime": 10.
|
695 |
-
"eval_samples_per_second":
|
696 |
-
"eval_steps_per_second": 2.
|
697 |
"step": 800
|
698 |
},
|
699 |
{
|
700 |
"epoch": 0.8804347826086957,
|
701 |
-
"grad_norm":
|
702 |
"learning_rate": 3.532608695652174e-05,
|
703 |
-
"loss": 0.
|
704 |
"step": 810
|
705 |
},
|
706 |
{
|
707 |
"epoch": 0.8913043478260869,
|
708 |
-
"grad_norm":
|
709 |
"learning_rate": 3.514492753623188e-05,
|
710 |
-
"loss": 0.
|
711 |
"step": 820
|
712 |
},
|
713 |
{
|
714 |
"epoch": 0.9021739130434783,
|
715 |
-
"grad_norm": 0.
|
716 |
"learning_rate": 3.496376811594203e-05,
|
717 |
-
"loss": 0.
|
718 |
"step": 830
|
719 |
},
|
720 |
{
|
721 |
"epoch": 0.9130434782608695,
|
722 |
-
"grad_norm":
|
723 |
"learning_rate": 3.478260869565218e-05,
|
724 |
-
"loss": 0.
|
725 |
"step": 840
|
726 |
},
|
727 |
{
|
728 |
"epoch": 0.9239130434782609,
|
729 |
-
"grad_norm": 0.
|
730 |
"learning_rate": 3.460144927536232e-05,
|
731 |
-
"loss": 0.
|
732 |
"step": 850
|
733 |
},
|
734 |
{
|
735 |
"epoch": 0.9239130434782609,
|
736 |
-
"eval_loss": 0.
|
737 |
-
"eval_runtime": 10.
|
738 |
-
"eval_samples_per_second":
|
739 |
-
"eval_steps_per_second": 2.
|
740 |
"step": 850
|
741 |
},
|
742 |
{
|
743 |
"epoch": 0.9347826086956522,
|
744 |
-
"grad_norm":
|
745 |
"learning_rate": 3.4420289855072465e-05,
|
746 |
-
"loss": 0.
|
747 |
"step": 860
|
748 |
},
|
749 |
{
|
750 |
"epoch": 0.9456521739130435,
|
751 |
-
"grad_norm":
|
752 |
"learning_rate": 3.423913043478261e-05,
|
753 |
-
"loss": 0.
|
754 |
"step": 870
|
755 |
},
|
756 |
{
|
757 |
"epoch": 0.9565217391304348,
|
758 |
-
"grad_norm":
|
759 |
"learning_rate": 3.405797101449276e-05,
|
760 |
-
"loss": 0.
|
761 |
"step": 880
|
762 |
},
|
763 |
{
|
764 |
"epoch": 0.967391304347826,
|
765 |
-
"grad_norm":
|
766 |
"learning_rate": 3.38768115942029e-05,
|
767 |
-
"loss": 0.
|
768 |
"step": 890
|
769 |
},
|
770 |
{
|
771 |
"epoch": 0.9782608695652174,
|
772 |
-
"grad_norm": 0.
|
773 |
"learning_rate": 3.369565217391305e-05,
|
774 |
-
"loss": 0.
|
775 |
"step": 900
|
776 |
},
|
777 |
{
|
778 |
"epoch": 0.9782608695652174,
|
779 |
-
"eval_loss": 0.
|
780 |
-
"eval_runtime": 10.
|
781 |
-
"eval_samples_per_second":
|
782 |
-
"eval_steps_per_second": 2.
|
783 |
"step": 900
|
784 |
},
|
785 |
{
|
786 |
"epoch": 0.9891304347826086,
|
787 |
-
"grad_norm":
|
788 |
"learning_rate": 3.351449275362319e-05,
|
789 |
-
"loss": 0.
|
790 |
"step": 910
|
791 |
},
|
792 |
{
|
793 |
"epoch": 1.0,
|
794 |
-
"grad_norm":
|
795 |
"learning_rate": 3.3333333333333335e-05,
|
796 |
-
"loss": 0.
|
797 |
"step": 920
|
798 |
},
|
799 |
{
|
800 |
"epoch": 1.0108695652173914,
|
801 |
-
"grad_norm":
|
802 |
"learning_rate": 3.3152173913043475e-05,
|
803 |
-
"loss": 0.
|
804 |
"step": 930
|
805 |
},
|
806 |
{
|
807 |
"epoch": 1.0217391304347827,
|
808 |
-
"grad_norm":
|
809 |
"learning_rate": 3.297101449275363e-05,
|
810 |
-
"loss": 0.
|
811 |
"step": 940
|
812 |
},
|
813 |
{
|
814 |
"epoch": 1.0326086956521738,
|
815 |
-
"grad_norm":
|
816 |
"learning_rate": 3.278985507246377e-05,
|
817 |
-
"loss": 0.
|
818 |
"step": 950
|
819 |
},
|
820 |
{
|
821 |
"epoch": 1.0326086956521738,
|
822 |
-
"eval_loss": 0.
|
823 |
-
"eval_runtime": 10.
|
824 |
-
"eval_samples_per_second":
|
825 |
-
"eval_steps_per_second": 2.
|
826 |
"step": 950
|
827 |
},
|
828 |
{
|
829 |
"epoch": 1.0434782608695652,
|
830 |
-
"grad_norm":
|
831 |
"learning_rate": 3.260869565217392e-05,
|
832 |
-
"loss": 0.
|
833 |
"step": 960
|
834 |
},
|
835 |
{
|
836 |
"epoch": 1.0543478260869565,
|
837 |
-
"grad_norm": 1.
|
838 |
"learning_rate": 3.242753623188406e-05,
|
839 |
-
"loss": 0.
|
840 |
"step": 970
|
841 |
},
|
842 |
{
|
843 |
"epoch": 1.065217391304348,
|
844 |
-
"grad_norm": 1.
|
845 |
"learning_rate": 3.2246376811594205e-05,
|
846 |
-
"loss": 0.
|
847 |
"step": 980
|
848 |
},
|
849 |
{
|
850 |
"epoch": 1.0760869565217392,
|
851 |
-
"grad_norm":
|
852 |
"learning_rate": 3.2065217391304345e-05,
|
853 |
-
"loss": 0.
|
854 |
"step": 990
|
855 |
},
|
856 |
{
|
857 |
"epoch": 1.0869565217391304,
|
858 |
-
"grad_norm": 1.
|
859 |
"learning_rate": 3.188405797101449e-05,
|
860 |
-
"loss": 0.
|
861 |
"step": 1000
|
862 |
},
|
863 |
{
|
864 |
"epoch": 1.0869565217391304,
|
865 |
-
"eval_loss": 0.
|
866 |
-
"eval_runtime": 10.
|
867 |
-
"eval_samples_per_second":
|
868 |
-
"eval_steps_per_second": 2.
|
869 |
"step": 1000
|
870 |
},
|
871 |
{
|
872 |
"epoch": 1.0978260869565217,
|
873 |
-
"grad_norm":
|
874 |
"learning_rate": 3.170289855072464e-05,
|
875 |
-
"loss": 0.
|
876 |
"step": 1010
|
877 |
},
|
878 |
{
|
879 |
"epoch": 1.108695652173913,
|
880 |
-
"grad_norm":
|
881 |
"learning_rate": 3.152173913043479e-05,
|
882 |
-
"loss": 0.
|
883 |
"step": 1020
|
884 |
},
|
885 |
{
|
886 |
"epoch": 1.1195652173913044,
|
887 |
-
"grad_norm":
|
888 |
"learning_rate": 3.134057971014493e-05,
|
889 |
-
"loss": 0.
|
890 |
"step": 1030
|
891 |
},
|
892 |
{
|
893 |
"epoch": 1.1304347826086956,
|
894 |
-
"grad_norm": 1.
|
895 |
"learning_rate": 3.1159420289855074e-05,
|
896 |
-
"loss": 0.
|
897 |
"step": 1040
|
898 |
},
|
899 |
{
|
900 |
"epoch": 1.141304347826087,
|
901 |
-
"grad_norm":
|
902 |
"learning_rate": 3.0978260869565215e-05,
|
903 |
-
"loss": 0.
|
904 |
"step": 1050
|
905 |
},
|
906 |
{
|
907 |
"epoch": 1.141304347826087,
|
908 |
-
"eval_loss": 0.
|
909 |
-
"eval_runtime": 10.
|
910 |
-
"eval_samples_per_second":
|
911 |
-
"eval_steps_per_second": 2.
|
912 |
"step": 1050
|
913 |
},
|
914 |
{
|
915 |
"epoch": 1.1521739130434783,
|
916 |
-
"grad_norm":
|
917 |
"learning_rate": 3.079710144927536e-05,
|
918 |
-
"loss": 0.
|
919 |
"step": 1060
|
920 |
},
|
921 |
{
|
922 |
"epoch": 1.1630434782608696,
|
923 |
-
"grad_norm":
|
924 |
"learning_rate": 3.061594202898551e-05,
|
925 |
-
"loss": 0.
|
926 |
"step": 1070
|
927 |
},
|
928 |
{
|
929 |
"epoch": 1.1739130434782608,
|
930 |
-
"grad_norm":
|
931 |
"learning_rate": 3.0434782608695656e-05,
|
932 |
-
"loss": 0.
|
933 |
"step": 1080
|
934 |
},
|
935 |
{
|
936 |
"epoch": 1.184782608695652,
|
937 |
-
"grad_norm":
|
938 |
"learning_rate": 3.02536231884058e-05,
|
939 |
-
"loss": 0.
|
940 |
"step": 1090
|
941 |
},
|
942 |
{
|
943 |
"epoch": 1.1956521739130435,
|
944 |
-
"grad_norm": 1.
|
945 |
"learning_rate": 3.0072463768115944e-05,
|
946 |
-
"loss": 0.
|
947 |
"step": 1100
|
948 |
},
|
949 |
{
|
950 |
"epoch": 1.1956521739130435,
|
951 |
-
"eval_loss": 0.
|
952 |
-
"eval_runtime": 10.
|
953 |
-
"eval_samples_per_second":
|
954 |
-
"eval_steps_per_second": 2.
|
955 |
"step": 1100
|
956 |
},
|
957 |
{
|
958 |
"epoch": 1.2065217391304348,
|
959 |
-
"grad_norm":
|
960 |
"learning_rate": 2.9891304347826088e-05,
|
961 |
-
"loss": 0.
|
962 |
"step": 1110
|
963 |
},
|
964 |
{
|
965 |
"epoch": 1.2173913043478262,
|
966 |
-
"grad_norm":
|
967 |
"learning_rate": 2.971014492753623e-05,
|
968 |
-
"loss": 0.
|
969 |
"step": 1120
|
970 |
},
|
971 |
{
|
972 |
"epoch": 1.2282608695652173,
|
973 |
-
"grad_norm": 1.
|
974 |
"learning_rate": 2.9528985507246375e-05,
|
975 |
-
"loss": 0.
|
976 |
"step": 1130
|
977 |
},
|
978 |
{
|
979 |
"epoch": 1.2391304347826086,
|
980 |
-
"grad_norm":
|
981 |
"learning_rate": 2.9347826086956526e-05,
|
982 |
-
"loss": 0.
|
983 |
"step": 1140
|
984 |
},
|
985 |
{
|
986 |
"epoch": 1.25,
|
987 |
-
"grad_norm": 1.
|
988 |
"learning_rate": 2.916666666666667e-05,
|
989 |
-
"loss": 0.
|
990 |
"step": 1150
|
991 |
},
|
992 |
{
|
993 |
"epoch": 1.25,
|
994 |
-
"eval_loss": 0.
|
995 |
-
"eval_runtime": 10.
|
996 |
-
"eval_samples_per_second":
|
997 |
-
"eval_steps_per_second": 2.
|
998 |
"step": 1150
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 1.2608695652173914,
|
1002 |
-
"grad_norm": 1.
|
1003 |
"learning_rate": 2.8985507246376814e-05,
|
1004 |
-
"loss": 0.
|
1005 |
"step": 1160
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 1.2717391304347827,
|
1009 |
-
"grad_norm":
|
1010 |
"learning_rate": 2.8804347826086957e-05,
|
1011 |
-
"loss": 0.
|
1012 |
"step": 1170
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 1.2826086956521738,
|
1016 |
-
"grad_norm":
|
1017 |
"learning_rate": 2.86231884057971e-05,
|
1018 |
-
"loss": 0.
|
1019 |
"step": 1180
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 1.2934782608695652,
|
1023 |
-
"grad_norm":
|
1024 |
"learning_rate": 2.8442028985507245e-05,
|
1025 |
-
"loss": 0.
|
1026 |
"step": 1190
|
1027 |
},
|
1028 |
{
|
1029 |
"epoch": 1.3043478260869565,
|
1030 |
-
"grad_norm":
|
1031 |
"learning_rate": 2.826086956521739e-05,
|
1032 |
-
"loss": 0.
|
1033 |
"step": 1200
|
1034 |
},
|
1035 |
{
|
1036 |
"epoch": 1.3043478260869565,
|
1037 |
-
"eval_loss": 0.
|
1038 |
-
"eval_runtime": 10.
|
1039 |
-
"eval_samples_per_second":
|
1040 |
-
"eval_steps_per_second": 2.
|
1041 |
"step": 1200
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 1.315217391304348,
|
1045 |
-
"grad_norm":
|
1046 |
"learning_rate": 2.807971014492754e-05,
|
1047 |
-
"loss": 0.
|
1048 |
"step": 1210
|
1049 |
},
|
1050 |
{
|
1051 |
"epoch": 1.3260869565217392,
|
1052 |
-
"grad_norm":
|
1053 |
"learning_rate": 2.7898550724637683e-05,
|
1054 |
-
"loss": 0.
|
1055 |
"step": 1220
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 1.3369565217391304,
|
1059 |
-
"grad_norm":
|
1060 |
"learning_rate": 2.7717391304347827e-05,
|
1061 |
-
"loss": 0.
|
1062 |
"step": 1230
|
1063 |
},
|
1064 |
{
|
1065 |
"epoch": 1.3478260869565217,
|
1066 |
-
"grad_norm": 1.
|
1067 |
"learning_rate": 2.753623188405797e-05,
|
1068 |
-
"loss": 0.
|
1069 |
"step": 1240
|
1070 |
},
|
1071 |
{
|
1072 |
"epoch": 1.358695652173913,
|
1073 |
-
"grad_norm":
|
1074 |
"learning_rate": 2.7355072463768118e-05,
|
1075 |
-
"loss": 0.
|
1076 |
"step": 1250
|
1077 |
},
|
1078 |
{
|
1079 |
"epoch": 1.358695652173913,
|
1080 |
-
"eval_loss": 0.
|
1081 |
-
"eval_runtime": 10.
|
1082 |
-
"eval_samples_per_second":
|
1083 |
-
"eval_steps_per_second": 2.
|
1084 |
"step": 1250
|
1085 |
},
|
1086 |
{
|
1087 |
"epoch": 1.3695652173913042,
|
1088 |
-
"grad_norm": 1.
|
1089 |
"learning_rate": 2.7173913043478262e-05,
|
1090 |
-
"loss": 0.
|
1091 |
"step": 1260
|
1092 |
},
|
1093 |
{
|
1094 |
"epoch": 1.3804347826086958,
|
1095 |
-
"grad_norm":
|
1096 |
"learning_rate": 2.6992753623188406e-05,
|
1097 |
-
"loss": 0.
|
1098 |
"step": 1270
|
1099 |
},
|
1100 |
{
|
1101 |
"epoch": 1.391304347826087,
|
1102 |
-
"grad_norm":
|
1103 |
"learning_rate": 2.6811594202898553e-05,
|
1104 |
-
"loss": 0.
|
1105 |
"step": 1280
|
1106 |
},
|
1107 |
{
|
1108 |
"epoch": 1.4021739130434783,
|
1109 |
-
"grad_norm": 1.
|
1110 |
"learning_rate": 2.66304347826087e-05,
|
1111 |
-
"loss": 0.
|
1112 |
"step": 1290
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 1.4130434782608696,
|
1116 |
-
"grad_norm": 1.
|
1117 |
"learning_rate": 2.6449275362318844e-05,
|
1118 |
-
"loss": 0.
|
1119 |
"step": 1300
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 1.4130434782608696,
|
1123 |
-
"eval_loss": 0.
|
1124 |
-
"eval_runtime": 10.
|
1125 |
-
"eval_samples_per_second":
|
1126 |
-
"eval_steps_per_second": 2.
|
1127 |
"step": 1300
|
1128 |
},
|
1129 |
{
|
1130 |
"epoch": 1.4239130434782608,
|
1131 |
-
"grad_norm": 1.
|
1132 |
"learning_rate": 2.6268115942028988e-05,
|
1133 |
-
"loss": 0.
|
1134 |
"step": 1310
|
1135 |
},
|
1136 |
{
|
1137 |
"epoch": 1.434782608695652,
|
1138 |
-
"grad_norm": 1.
|
1139 |
"learning_rate": 2.608695652173913e-05,
|
1140 |
-
"loss": 0.
|
1141 |
"step": 1320
|
1142 |
},
|
1143 |
{
|
1144 |
"epoch": 1.4456521739130435,
|
1145 |
-
"grad_norm": 1.
|
1146 |
"learning_rate": 2.5905797101449275e-05,
|
1147 |
-
"loss": 0.
|
1148 |
"step": 1330
|
1149 |
},
|
1150 |
{
|
1151 |
"epoch": 1.4565217391304348,
|
1152 |
-
"grad_norm":
|
1153 |
"learning_rate": 2.572463768115942e-05,
|
1154 |
-
"loss": 0.
|
1155 |
"step": 1340
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 1.4673913043478262,
|
1159 |
-
"grad_norm":
|
1160 |
"learning_rate": 2.554347826086957e-05,
|
1161 |
-
"loss": 0.
|
1162 |
"step": 1350
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 1.4673913043478262,
|
1166 |
-
"eval_loss": 0.
|
1167 |
-
"eval_runtime": 10.
|
1168 |
-
"eval_samples_per_second":
|
1169 |
-
"eval_steps_per_second": 2.
|
1170 |
"step": 1350
|
1171 |
},
|
1172 |
{
|
1173 |
"epoch": 1.4782608695652173,
|
1174 |
-
"grad_norm": 1.
|
1175 |
"learning_rate": 2.5362318840579714e-05,
|
1176 |
-
"loss": 0.
|
1177 |
"step": 1360
|
1178 |
},
|
1179 |
{
|
1180 |
"epoch": 1.4891304347826086,
|
1181 |
-
"grad_norm": 1.
|
1182 |
"learning_rate": 2.5181159420289857e-05,
|
1183 |
-
"loss": 0.
|
1184 |
"step": 1370
|
1185 |
},
|
1186 |
{
|
1187 |
"epoch": 1.5,
|
1188 |
-
"grad_norm": 1.
|
1189 |
"learning_rate": 2.5e-05,
|
1190 |
-
"loss": 0.
|
1191 |
"step": 1380
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 1.5108695652173914,
|
1195 |
-
"grad_norm": 1.
|
1196 |
"learning_rate": 2.4818840579710145e-05,
|
1197 |
-
"loss": 0.
|
1198 |
"step": 1390
|
1199 |
},
|
1200 |
{
|
1201 |
"epoch": 1.5217391304347827,
|
1202 |
-
"grad_norm":
|
1203 |
"learning_rate": 2.4637681159420292e-05,
|
1204 |
-
"loss": 0.
|
1205 |
"step": 1400
|
1206 |
},
|
1207 |
{
|
1208 |
"epoch": 1.5217391304347827,
|
1209 |
-
"eval_loss": 0.
|
1210 |
-
"eval_runtime": 10.
|
1211 |
-
"eval_samples_per_second":
|
1212 |
-
"eval_steps_per_second": 2.
|
1213 |
"step": 1400
|
1214 |
},
|
1215 |
{
|
1216 |
"epoch": 1.5326086956521738,
|
1217 |
-
"grad_norm": 1.
|
1218 |
"learning_rate": 2.4456521739130436e-05,
|
1219 |
-
"loss": 0.
|
1220 |
"step": 1410
|
1221 |
},
|
1222 |
{
|
1223 |
"epoch": 1.5434782608695652,
|
1224 |
-
"grad_norm": 1.
|
1225 |
"learning_rate": 2.427536231884058e-05,
|
1226 |
-
"loss": 0.
|
1227 |
"step": 1420
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 1.5543478260869565,
|
1231 |
-
"grad_norm":
|
1232 |
"learning_rate": 2.4094202898550724e-05,
|
1233 |
-
"loss": 0.
|
1234 |
"step": 1430
|
1235 |
},
|
1236 |
{
|
1237 |
"epoch": 1.5652173913043477,
|
1238 |
-
"grad_norm": 1.
|
1239 |
"learning_rate": 2.391304347826087e-05,
|
1240 |
-
"loss": 0.
|
1241 |
"step": 1440
|
1242 |
},
|
1243 |
{
|
1244 |
"epoch": 1.5760869565217392,
|
1245 |
-
"grad_norm":
|
1246 |
"learning_rate": 2.3731884057971015e-05,
|
1247 |
-
"loss": 0.
|
1248 |
"step": 1450
|
1249 |
},
|
1250 |
{
|
1251 |
"epoch": 1.5760869565217392,
|
1252 |
-
"eval_loss": 0.
|
1253 |
-
"eval_runtime": 10.
|
1254 |
-
"eval_samples_per_second":
|
1255 |
-
"eval_steps_per_second": 2.
|
1256 |
"step": 1450
|
1257 |
},
|
1258 |
{
|
1259 |
"epoch": 1.5869565217391304,
|
1260 |
-
"grad_norm":
|
1261 |
"learning_rate": 2.355072463768116e-05,
|
1262 |
-
"loss": 0.
|
1263 |
"step": 1460
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 1.5978260869565217,
|
1267 |
-
"grad_norm": 1.
|
1268 |
"learning_rate": 2.3369565217391306e-05,
|
1269 |
-
"loss": 0.
|
1270 |
"step": 1470
|
1271 |
},
|
1272 |
{
|
1273 |
"epoch": 1.608695652173913,
|
1274 |
-
"grad_norm": 1.
|
1275 |
"learning_rate": 2.318840579710145e-05,
|
1276 |
-
"loss": 0.
|
1277 |
"step": 1480
|
1278 |
},
|
1279 |
{
|
1280 |
"epoch": 1.6195652173913042,
|
1281 |
-
"grad_norm":
|
1282 |
"learning_rate": 2.3007246376811593e-05,
|
1283 |
-
"loss": 0.
|
1284 |
"step": 1490
|
1285 |
},
|
1286 |
{
|
1287 |
"epoch": 1.6304347826086958,
|
1288 |
-
"grad_norm":
|
1289 |
"learning_rate": 2.282608695652174e-05,
|
1290 |
-
"loss": 0.
|
1291 |
"step": 1500
|
1292 |
},
|
1293 |
{
|
1294 |
"epoch": 1.6304347826086958,
|
1295 |
-
"eval_loss": 0.
|
1296 |
-
"eval_runtime": 10.
|
1297 |
-
"eval_samples_per_second":
|
1298 |
-
"eval_steps_per_second": 2.
|
1299 |
"step": 1500
|
1300 |
},
|
1301 |
{
|
1302 |
"epoch": 1.641304347826087,
|
1303 |
-
"grad_norm":
|
1304 |
"learning_rate": 2.2644927536231884e-05,
|
1305 |
-
"loss": 0.
|
1306 |
"step": 1510
|
1307 |
},
|
1308 |
{
|
1309 |
"epoch": 1.6521739130434783,
|
1310 |
-
"grad_norm":
|
1311 |
"learning_rate": 2.246376811594203e-05,
|
1312 |
-
"loss": 0.
|
1313 |
"step": 1520
|
1314 |
},
|
1315 |
{
|
1316 |
"epoch": 1.6630434782608696,
|
1317 |
-
"grad_norm":
|
1318 |
"learning_rate": 2.2282608695652175e-05,
|
1319 |
-
"loss": 0.
|
1320 |
"step": 1530
|
1321 |
},
|
1322 |
{
|
1323 |
"epoch": 1.6739130434782608,
|
1324 |
-
"grad_norm": 1.
|
1325 |
"learning_rate": 2.2101449275362323e-05,
|
1326 |
-
"loss": 0.
|
1327 |
"step": 1540
|
1328 |
},
|
1329 |
{
|
1330 |
"epoch": 1.6847826086956523,
|
1331 |
-
"grad_norm": 1.
|
1332 |
"learning_rate": 2.1920289855072466e-05,
|
1333 |
-
"loss": 0.
|
1334 |
"step": 1550
|
1335 |
},
|
1336 |
{
|
1337 |
"epoch": 1.6847826086956523,
|
1338 |
-
"eval_loss": 0.
|
1339 |
-
"eval_runtime": 10.
|
1340 |
-
"eval_samples_per_second":
|
1341 |
-
"eval_steps_per_second": 2.
|
1342 |
"step": 1550
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 1.6956521739130435,
|
1346 |
-
"grad_norm":
|
1347 |
"learning_rate": 2.173913043478261e-05,
|
1348 |
-
"loss": 0.
|
1349 |
"step": 1560
|
1350 |
},
|
1351 |
{
|
1352 |
"epoch": 1.7065217391304348,
|
1353 |
-
"grad_norm": 1.
|
1354 |
"learning_rate": 2.1557971014492757e-05,
|
1355 |
-
"loss": 0.
|
1356 |
"step": 1570
|
1357 |
},
|
1358 |
{
|
1359 |
"epoch": 1.7173913043478262,
|
1360 |
-
"grad_norm":
|
1361 |
"learning_rate": 2.13768115942029e-05,
|
1362 |
-
"loss": 0.
|
1363 |
"step": 1580
|
1364 |
},
|
1365 |
{
|
1366 |
"epoch": 1.7282608695652173,
|
1367 |
-
"grad_norm": 1.
|
1368 |
"learning_rate": 2.1195652173913045e-05,
|
1369 |
-
"loss": 0.
|
1370 |
"step": 1590
|
1371 |
},
|
1372 |
{
|
1373 |
"epoch": 1.7391304347826086,
|
1374 |
-
"grad_norm": 1.
|
1375 |
"learning_rate": 2.101449275362319e-05,
|
1376 |
-
"loss": 0.
|
1377 |
"step": 1600
|
1378 |
},
|
1379 |
{
|
1380 |
"epoch": 1.7391304347826086,
|
1381 |
-
"eval_loss": 0.
|
1382 |
-
"eval_runtime": 10.
|
1383 |
-
"eval_samples_per_second":
|
1384 |
-
"eval_steps_per_second": 2.
|
1385 |
"step": 1600
|
1386 |
},
|
1387 |
{
|
1388 |
"epoch": 1.75,
|
1389 |
-
"grad_norm": 1.
|
1390 |
"learning_rate": 2.0833333333333336e-05,
|
1391 |
-
"loss": 0.
|
1392 |
"step": 1610
|
1393 |
},
|
1394 |
{
|
1395 |
"epoch": 1.7608695652173914,
|
1396 |
-
"grad_norm": 1.
|
1397 |
"learning_rate": 2.065217391304348e-05,
|
1398 |
-
"loss": 0.
|
1399 |
"step": 1620
|
1400 |
},
|
1401 |
{
|
1402 |
"epoch": 1.7717391304347827,
|
1403 |
-
"grad_norm":
|
1404 |
"learning_rate": 2.0471014492753624e-05,
|
1405 |
-
"loss": 0.
|
1406 |
"step": 1630
|
1407 |
},
|
1408 |
{
|
1409 |
"epoch": 1.7826086956521738,
|
1410 |
-
"grad_norm": 1.
|
1411 |
"learning_rate": 2.028985507246377e-05,
|
1412 |
-
"loss": 0.
|
1413 |
"step": 1640
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 1.7934782608695652,
|
1417 |
-
"grad_norm": 1.
|
1418 |
"learning_rate": 2.0108695652173915e-05,
|
1419 |
-
"loss": 0.
|
1420 |
"step": 1650
|
1421 |
},
|
1422 |
{
|
1423 |
"epoch": 1.7934782608695652,
|
1424 |
-
"eval_loss": 0.
|
1425 |
-
"eval_runtime": 10.
|
1426 |
-
"eval_samples_per_second":
|
1427 |
-
"eval_steps_per_second": 2.
|
1428 |
"step": 1650
|
1429 |
},
|
1430 |
{
|
1431 |
"epoch": 1.8043478260869565,
|
1432 |
-
"grad_norm": 1.
|
1433 |
"learning_rate": 1.992753623188406e-05,
|
1434 |
-
"loss": 0.
|
1435 |
"step": 1660
|
1436 |
},
|
1437 |
{
|
1438 |
"epoch": 1.8152173913043477,
|
1439 |
-
"grad_norm": 1.
|
1440 |
"learning_rate": 1.9746376811594202e-05,
|
1441 |
-
"loss": 0.
|
1442 |
"step": 1670
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 1.8260869565217392,
|
1446 |
-
"grad_norm": 1.
|
1447 |
"learning_rate": 1.956521739130435e-05,
|
1448 |
-
"loss": 0.
|
1449 |
"step": 1680
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 1.8369565217391304,
|
1453 |
-
"grad_norm": 1.
|
1454 |
"learning_rate": 1.9384057971014493e-05,
|
1455 |
-
"loss": 0.
|
1456 |
"step": 1690
|
1457 |
},
|
1458 |
{
|
1459 |
"epoch": 1.8478260869565217,
|
1460 |
-
"grad_norm": 1.
|
1461 |
"learning_rate": 1.9202898550724637e-05,
|
1462 |
-
"loss": 0.
|
1463 |
"step": 1700
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 1.8478260869565217,
|
1467 |
-
"eval_loss": 0.
|
1468 |
-
"eval_runtime": 10.
|
1469 |
-
"eval_samples_per_second":
|
1470 |
-
"eval_steps_per_second": 2.
|
1471 |
"step": 1700
|
1472 |
},
|
1473 |
{
|
1474 |
"epoch": 1.858695652173913,
|
1475 |
-
"grad_norm": 1.
|
1476 |
"learning_rate": 1.9021739130434784e-05,
|
1477 |
-
"loss": 0.
|
1478 |
"step": 1710
|
1479 |
},
|
1480 |
{
|
1481 |
"epoch": 1.8695652173913042,
|
1482 |
-
"grad_norm": 1.
|
1483 |
"learning_rate": 1.8840579710144928e-05,
|
1484 |
-
"loss": 0.
|
1485 |
"step": 1720
|
1486 |
},
|
1487 |
{
|
1488 |
"epoch": 1.8804347826086958,
|
1489 |
-
"grad_norm": 1.
|
1490 |
"learning_rate": 1.8659420289855072e-05,
|
1491 |
-
"loss": 0.
|
1492 |
"step": 1730
|
1493 |
},
|
1494 |
{
|
1495 |
"epoch": 1.891304347826087,
|
1496 |
-
"grad_norm": 1.
|
1497 |
"learning_rate": 1.8478260869565216e-05,
|
1498 |
-
"loss": 0.
|
1499 |
"step": 1740
|
1500 |
},
|
1501 |
{
|
1502 |
"epoch": 1.9021739130434783,
|
1503 |
-
"grad_norm": 1.
|
1504 |
"learning_rate": 1.8297101449275363e-05,
|
1505 |
-
"loss": 0.
|
1506 |
"step": 1750
|
1507 |
},
|
1508 |
{
|
1509 |
"epoch": 1.9021739130434783,
|
1510 |
-
"eval_loss": 0.
|
1511 |
-
"eval_runtime": 10.
|
1512 |
-
"eval_samples_per_second":
|
1513 |
-
"eval_steps_per_second": 2.
|
1514 |
"step": 1750
|
1515 |
},
|
1516 |
{
|
1517 |
"epoch": 1.9130434782608696,
|
1518 |
-
"grad_norm":
|
1519 |
"learning_rate": 1.8115942028985507e-05,
|
1520 |
-
"loss": 0.
|
1521 |
"step": 1760
|
1522 |
},
|
1523 |
{
|
1524 |
"epoch": 1.9239130434782608,
|
1525 |
-
"grad_norm": 1.
|
1526 |
"learning_rate": 1.793478260869565e-05,
|
1527 |
-
"loss": 0.
|
1528 |
"step": 1770
|
1529 |
},
|
1530 |
{
|
1531 |
"epoch": 1.9347826086956523,
|
1532 |
-
"grad_norm": 1.
|
1533 |
"learning_rate": 1.7753623188405798e-05,
|
1534 |
-
"loss": 0.
|
1535 |
"step": 1780
|
1536 |
},
|
1537 |
{
|
1538 |
"epoch": 1.9456521739130435,
|
1539 |
-
"grad_norm":
|
1540 |
"learning_rate": 1.757246376811594e-05,
|
1541 |
-
"loss": 0.
|
1542 |
"step": 1790
|
1543 |
},
|
1544 |
{
|
1545 |
"epoch": 1.9565217391304348,
|
1546 |
-
"grad_norm": 1.
|
1547 |
"learning_rate": 1.739130434782609e-05,
|
1548 |
-
"loss": 0.
|
1549 |
"step": 1800
|
1550 |
},
|
1551 |
{
|
1552 |
"epoch": 1.9565217391304348,
|
1553 |
-
"eval_loss": 0.
|
1554 |
-
"eval_runtime": 10.
|
1555 |
-
"eval_samples_per_second":
|
1556 |
-
"eval_steps_per_second": 2.
|
1557 |
"step": 1800
|
1558 |
},
|
1559 |
{
|
1560 |
"epoch": 1.9673913043478262,
|
1561 |
-
"grad_norm": 1.
|
1562 |
"learning_rate": 1.7210144927536233e-05,
|
1563 |
-
"loss": 0.
|
1564 |
"step": 1810
|
1565 |
},
|
1566 |
{
|
1567 |
"epoch": 1.9782608695652173,
|
1568 |
-
"grad_norm": 1.
|
1569 |
"learning_rate": 1.702898550724638e-05,
|
1570 |
-
"loss": 0.
|
1571 |
"step": 1820
|
1572 |
},
|
1573 |
{
|
1574 |
"epoch": 1.9891304347826086,
|
1575 |
-
"grad_norm": 1.
|
1576 |
"learning_rate": 1.6847826086956524e-05,
|
1577 |
-
"loss": 0.
|
1578 |
"step": 1830
|
1579 |
},
|
1580 |
{
|
1581 |
"epoch": 2.0,
|
1582 |
-
"grad_norm":
|
1583 |
"learning_rate": 1.6666666666666667e-05,
|
1584 |
-
"loss": 0.
|
1585 |
"step": 1840
|
1586 |
},
|
1587 |
{
|
1588 |
"epoch": 2.010869565217391,
|
1589 |
-
"grad_norm": 1.
|
1590 |
"learning_rate": 1.6485507246376815e-05,
|
1591 |
-
"loss": 0.
|
1592 |
"step": 1850
|
1593 |
},
|
1594 |
{
|
1595 |
"epoch": 2.010869565217391,
|
1596 |
-
"eval_loss": 0.
|
1597 |
-
"eval_runtime": 10.
|
1598 |
-
"eval_samples_per_second":
|
1599 |
-
"eval_steps_per_second": 2.
|
1600 |
"step": 1850
|
1601 |
},
|
1602 |
{
|
1603 |
"epoch": 2.0217391304347827,
|
1604 |
-
"grad_norm": 1.
|
1605 |
"learning_rate": 1.630434782608696e-05,
|
1606 |
-
"loss": 0.
|
1607 |
"step": 1860
|
1608 |
},
|
1609 |
{
|
1610 |
"epoch": 2.032608695652174,
|
1611 |
-
"grad_norm": 1.
|
1612 |
"learning_rate": 1.6123188405797102e-05,
|
1613 |
-
"loss": 0.
|
1614 |
"step": 1870
|
1615 |
},
|
1616 |
{
|
1617 |
"epoch": 2.0434782608695654,
|
1618 |
-
"grad_norm": 1.
|
1619 |
"learning_rate": 1.5942028985507246e-05,
|
1620 |
-
"loss": 0.
|
1621 |
"step": 1880
|
1622 |
},
|
1623 |
{
|
1624 |
"epoch": 2.0543478260869565,
|
1625 |
-
"grad_norm": 1.
|
1626 |
"learning_rate": 1.5760869565217393e-05,
|
1627 |
-
"loss": 0.
|
1628 |
"step": 1890
|
1629 |
},
|
1630 |
{
|
1631 |
"epoch": 2.0652173913043477,
|
1632 |
-
"grad_norm": 1.
|
1633 |
"learning_rate": 1.5579710144927537e-05,
|
1634 |
-
"loss": 0.
|
1635 |
"step": 1900
|
1636 |
},
|
1637 |
{
|
1638 |
"epoch": 2.0652173913043477,
|
1639 |
-
"eval_loss": 0.
|
1640 |
-
"eval_runtime": 10.
|
1641 |
-
"eval_samples_per_second":
|
1642 |
-
"eval_steps_per_second": 2.
|
1643 |
"step": 1900
|
1644 |
},
|
1645 |
{
|
1646 |
"epoch": 2.0760869565217392,
|
1647 |
-
"grad_norm": 1.
|
1648 |
"learning_rate": 1.539855072463768e-05,
|
1649 |
-
"loss": 0.
|
1650 |
"step": 1910
|
1651 |
},
|
1652 |
{
|
1653 |
"epoch": 2.0869565217391304,
|
1654 |
-
"grad_norm": 1.
|
1655 |
"learning_rate": 1.5217391304347828e-05,
|
1656 |
-
"loss": 0.
|
1657 |
"step": 1920
|
1658 |
},
|
1659 |
{
|
1660 |
"epoch": 2.097826086956522,
|
1661 |
-
"grad_norm": 1.
|
1662 |
"learning_rate": 1.5036231884057972e-05,
|
1663 |
-
"loss": 0.
|
1664 |
"step": 1930
|
1665 |
},
|
1666 |
{
|
1667 |
"epoch": 2.108695652173913,
|
1668 |
-
"grad_norm": 1.
|
1669 |
"learning_rate": 1.4855072463768116e-05,
|
1670 |
-
"loss": 0.
|
1671 |
"step": 1940
|
1672 |
},
|
1673 |
{
|
1674 |
"epoch": 2.119565217391304,
|
1675 |
-
"grad_norm": 1.
|
1676 |
"learning_rate": 1.4673913043478263e-05,
|
1677 |
-
"loss": 0.
|
1678 |
"step": 1950
|
1679 |
},
|
1680 |
{
|
1681 |
"epoch": 2.119565217391304,
|
1682 |
-
"eval_loss": 0.
|
1683 |
-
"eval_runtime": 10.
|
1684 |
-
"eval_samples_per_second":
|
1685 |
-
"eval_steps_per_second": 2.
|
1686 |
"step": 1950
|
1687 |
},
|
1688 |
{
|
1689 |
"epoch": 2.130434782608696,
|
1690 |
-
"grad_norm": 1.
|
1691 |
"learning_rate": 1.4492753623188407e-05,
|
1692 |
-
"loss": 0.
|
1693 |
"step": 1960
|
1694 |
},
|
1695 |
{
|
1696 |
"epoch": 2.141304347826087,
|
1697 |
-
"grad_norm": 1.
|
1698 |
"learning_rate": 1.431159420289855e-05,
|
1699 |
-
"loss": 0.
|
1700 |
"step": 1970
|
1701 |
},
|
1702 |
{
|
1703 |
"epoch": 2.1521739130434785,
|
1704 |
-
"grad_norm": 1.
|
1705 |
"learning_rate": 1.4130434782608694e-05,
|
1706 |
-
"loss": 0.
|
1707 |
"step": 1980
|
1708 |
},
|
1709 |
{
|
1710 |
"epoch": 2.1630434782608696,
|
1711 |
-
"grad_norm": 1.
|
1712 |
"learning_rate": 1.3949275362318842e-05,
|
1713 |
-
"loss": 0.
|
1714 |
"step": 1990
|
1715 |
},
|
1716 |
{
|
1717 |
"epoch": 2.1739130434782608,
|
1718 |
-
"grad_norm": 1.
|
1719 |
"learning_rate": 1.3768115942028985e-05,
|
1720 |
-
"loss": 0.
|
1721 |
"step": 2000
|
1722 |
},
|
1723 |
{
|
1724 |
"epoch": 2.1739130434782608,
|
1725 |
-
"eval_loss": 0.
|
1726 |
-
"eval_runtime": 10.
|
1727 |
-
"eval_samples_per_second":
|
1728 |
-
"eval_steps_per_second": 2.
|
1729 |
"step": 2000
|
1730 |
},
|
1731 |
{
|
1732 |
"epoch": 2.1847826086956523,
|
1733 |
-
"grad_norm": 1.
|
1734 |
"learning_rate": 1.3586956521739131e-05,
|
1735 |
-
"loss": 0.
|
1736 |
"step": 2010
|
1737 |
},
|
1738 |
{
|
1739 |
"epoch": 2.1956521739130435,
|
1740 |
-
"grad_norm": 1.
|
1741 |
"learning_rate": 1.3405797101449276e-05,
|
1742 |
-
"loss": 0.
|
1743 |
"step": 2020
|
1744 |
},
|
1745 |
{
|
1746 |
"epoch": 2.2065217391304346,
|
1747 |
-
"grad_norm": 1.
|
1748 |
"learning_rate": 1.3224637681159422e-05,
|
1749 |
-
"loss": 0.
|
1750 |
"step": 2030
|
1751 |
},
|
1752 |
{
|
1753 |
"epoch": 2.217391304347826,
|
1754 |
-
"grad_norm": 1.
|
1755 |
"learning_rate": 1.3043478260869566e-05,
|
1756 |
-
"loss": 0.
|
1757 |
"step": 2040
|
1758 |
},
|
1759 |
{
|
1760 |
"epoch": 2.2282608695652173,
|
1761 |
-
"grad_norm": 1.
|
1762 |
"learning_rate": 1.286231884057971e-05,
|
1763 |
-
"loss": 0.
|
1764 |
"step": 2050
|
1765 |
},
|
1766 |
{
|
1767 |
"epoch": 2.2282608695652173,
|
1768 |
-
"eval_loss": 0.
|
1769 |
-
"eval_runtime": 10.
|
1770 |
-
"eval_samples_per_second":
|
1771 |
-
"eval_steps_per_second": 2.
|
1772 |
"step": 2050
|
1773 |
},
|
1774 |
{
|
1775 |
"epoch": 2.239130434782609,
|
1776 |
-
"grad_norm": 1.
|
1777 |
"learning_rate": 1.2681159420289857e-05,
|
1778 |
-
"loss": 0.
|
1779 |
"step": 2060
|
1780 |
},
|
1781 |
{
|
1782 |
"epoch": 2.25,
|
1783 |
-
"grad_norm": 1.
|
1784 |
"learning_rate": 1.25e-05,
|
1785 |
-
"loss": 0.
|
1786 |
"step": 2070
|
1787 |
},
|
1788 |
{
|
1789 |
"epoch": 2.260869565217391,
|
1790 |
-
"grad_norm": 1.
|
1791 |
"learning_rate": 1.2318840579710146e-05,
|
1792 |
-
"loss": 0.
|
1793 |
"step": 2080
|
1794 |
},
|
1795 |
{
|
1796 |
"epoch": 2.2717391304347827,
|
1797 |
-
"grad_norm": 1.
|
1798 |
"learning_rate": 1.213768115942029e-05,
|
1799 |
-
"loss": 0.
|
1800 |
"step": 2090
|
1801 |
},
|
1802 |
{
|
1803 |
"epoch": 2.282608695652174,
|
1804 |
-
"grad_norm": 1.
|
1805 |
"learning_rate": 1.1956521739130435e-05,
|
1806 |
-
"loss": 0.
|
1807 |
"step": 2100
|
1808 |
},
|
1809 |
{
|
1810 |
"epoch": 2.282608695652174,
|
1811 |
-
"eval_loss": 0.
|
1812 |
-
"eval_runtime": 10.
|
1813 |
-
"eval_samples_per_second":
|
1814 |
-
"eval_steps_per_second": 2.
|
1815 |
"step": 2100
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 2.2934782608695654,
|
1819 |
-
"grad_norm": 1.
|
1820 |
"learning_rate": 1.177536231884058e-05,
|
1821 |
-
"loss": 0.
|
1822 |
"step": 2110
|
1823 |
},
|
1824 |
{
|
1825 |
"epoch": 2.3043478260869565,
|
1826 |
-
"grad_norm": 1.
|
1827 |
"learning_rate": 1.1594202898550725e-05,
|
1828 |
-
"loss": 0.
|
1829 |
"step": 2120
|
1830 |
},
|
1831 |
{
|
1832 |
"epoch": 2.3152173913043477,
|
1833 |
-
"grad_norm": 1.
|
1834 |
"learning_rate": 1.141304347826087e-05,
|
1835 |
-
"loss": 0.
|
1836 |
"step": 2130
|
1837 |
},
|
1838 |
{
|
1839 |
"epoch": 2.3260869565217392,
|
1840 |
-
"grad_norm": 1.
|
1841 |
"learning_rate": 1.1231884057971016e-05,
|
1842 |
-
"loss": 0.
|
1843 |
"step": 2140
|
1844 |
},
|
1845 |
{
|
1846 |
"epoch": 2.3369565217391304,
|
1847 |
-
"grad_norm": 1.
|
1848 |
"learning_rate": 1.1050724637681161e-05,
|
1849 |
-
"loss": 0.
|
1850 |
"step": 2150
|
1851 |
},
|
1852 |
{
|
1853 |
"epoch": 2.3369565217391304,
|
1854 |
-
"eval_loss": 0.
|
1855 |
-
"eval_runtime": 10.
|
1856 |
-
"eval_samples_per_second":
|
1857 |
-
"eval_steps_per_second": 2.
|
1858 |
"step": 2150
|
1859 |
},
|
1860 |
{
|
1861 |
"epoch": 2.3478260869565215,
|
1862 |
-
"grad_norm": 1.
|
1863 |
"learning_rate": 1.0869565217391305e-05,
|
1864 |
-
"loss": 0.
|
1865 |
"step": 2160
|
1866 |
},
|
1867 |
{
|
1868 |
"epoch": 2.358695652173913,
|
1869 |
-
"grad_norm": 1.
|
1870 |
"learning_rate": 1.068840579710145e-05,
|
1871 |
-
"loss": 0.
|
1872 |
"step": 2170
|
1873 |
},
|
1874 |
{
|
1875 |
"epoch": 2.369565217391304,
|
1876 |
-
"grad_norm": 1.
|
1877 |
"learning_rate": 1.0507246376811594e-05,
|
1878 |
-
"loss": 0.
|
1879 |
"step": 2180
|
1880 |
},
|
1881 |
{
|
1882 |
"epoch": 2.380434782608696,
|
1883 |
-
"grad_norm": 1.
|
1884 |
"learning_rate": 1.032608695652174e-05,
|
1885 |
-
"loss": 0.
|
1886 |
"step": 2190
|
1887 |
},
|
1888 |
{
|
1889 |
"epoch": 2.391304347826087,
|
1890 |
-
"grad_norm": 1.
|
1891 |
"learning_rate": 1.0144927536231885e-05,
|
1892 |
-
"loss": 0.
|
1893 |
"step": 2200
|
1894 |
},
|
1895 |
{
|
1896 |
"epoch": 2.391304347826087,
|
1897 |
-
"eval_loss": 0.
|
1898 |
-
"eval_runtime": 10.
|
1899 |
-
"eval_samples_per_second":
|
1900 |
-
"eval_steps_per_second": 2.
|
1901 |
"step": 2200
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 2.4021739130434785,
|
1905 |
-
"grad_norm": 1.
|
1906 |
"learning_rate": 9.96376811594203e-06,
|
1907 |
-
"loss": 0.
|
1908 |
"step": 2210
|
1909 |
},
|
1910 |
{
|
1911 |
"epoch": 2.4130434782608696,
|
1912 |
-
"grad_norm": 1.
|
1913 |
"learning_rate": 9.782608695652175e-06,
|
1914 |
-
"loss": 0.
|
1915 |
"step": 2220
|
1916 |
},
|
1917 |
{
|
1918 |
"epoch": 2.4239130434782608,
|
1919 |
-
"grad_norm": 1.
|
1920 |
"learning_rate": 9.601449275362319e-06,
|
1921 |
-
"loss": 0.
|
1922 |
"step": 2230
|
1923 |
},
|
1924 |
{
|
1925 |
"epoch": 2.4347826086956523,
|
1926 |
-
"grad_norm": 1.
|
1927 |
"learning_rate": 9.420289855072464e-06,
|
1928 |
-
"loss": 0.
|
1929 |
"step": 2240
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 2.4456521739130435,
|
1933 |
-
"grad_norm": 1.
|
1934 |
"learning_rate": 9.239130434782608e-06,
|
1935 |
-
"loss": 0.
|
1936 |
"step": 2250
|
1937 |
},
|
1938 |
{
|
1939 |
"epoch": 2.4456521739130435,
|
1940 |
-
"eval_loss": 0.
|
1941 |
-
"eval_runtime": 10.
|
1942 |
-
"eval_samples_per_second":
|
1943 |
-
"eval_steps_per_second": 2.
|
1944 |
"step": 2250
|
1945 |
},
|
1946 |
{
|
1947 |
"epoch": 2.4565217391304346,
|
1948 |
-
"grad_norm": 1.
|
1949 |
"learning_rate": 9.057971014492753e-06,
|
1950 |
-
"loss": 0.
|
1951 |
"step": 2260
|
1952 |
},
|
1953 |
{
|
1954 |
"epoch": 2.467391304347826,
|
1955 |
-
"grad_norm": 1.
|
1956 |
"learning_rate": 8.876811594202899e-06,
|
1957 |
-
"loss": 0.
|
1958 |
"step": 2270
|
1959 |
},
|
1960 |
{
|
1961 |
"epoch": 2.4782608695652173,
|
1962 |
-
"grad_norm": 1.
|
1963 |
"learning_rate": 8.695652173913044e-06,
|
1964 |
-
"loss": 0.
|
1965 |
"step": 2280
|
1966 |
},
|
1967 |
{
|
1968 |
"epoch": 2.489130434782609,
|
1969 |
-
"grad_norm": 1.
|
1970 |
"learning_rate": 8.51449275362319e-06,
|
1971 |
-
"loss": 0.
|
1972 |
"step": 2290
|
1973 |
},
|
1974 |
{
|
1975 |
"epoch": 2.5,
|
1976 |
-
"grad_norm": 1.
|
1977 |
"learning_rate": 8.333333333333334e-06,
|
1978 |
-
"loss": 0.
|
1979 |
"step": 2300
|
1980 |
},
|
1981 |
{
|
1982 |
"epoch": 2.5,
|
1983 |
-
"eval_loss": 0.
|
1984 |
-
"eval_runtime": 10.
|
1985 |
-
"eval_samples_per_second":
|
1986 |
-
"eval_steps_per_second": 2.
|
1987 |
"step": 2300
|
1988 |
},
|
1989 |
{
|
1990 |
"epoch": 2.5108695652173916,
|
1991 |
-
"grad_norm": 1.
|
1992 |
"learning_rate": 8.15217391304348e-06,
|
1993 |
-
"loss": 0.
|
1994 |
"step": 2310
|
1995 |
},
|
1996 |
{
|
1997 |
"epoch": 2.5217391304347827,
|
1998 |
-
"grad_norm": 1.
|
1999 |
"learning_rate": 7.971014492753623e-06,
|
2000 |
-
"loss": 0.
|
2001 |
"step": 2320
|
2002 |
},
|
2003 |
{
|
2004 |
"epoch": 2.532608695652174,
|
2005 |
-
"grad_norm": 1.
|
2006 |
"learning_rate": 7.789855072463769e-06,
|
2007 |
-
"loss": 0.
|
2008 |
"step": 2330
|
2009 |
},
|
2010 |
{
|
2011 |
"epoch": 2.5434782608695654,
|
2012 |
-
"grad_norm": 1.
|
2013 |
"learning_rate": 7.608695652173914e-06,
|
2014 |
-
"loss": 0.
|
2015 |
"step": 2340
|
2016 |
},
|
2017 |
{
|
2018 |
"epoch": 2.5543478260869565,
|
2019 |
-
"grad_norm": 1.
|
2020 |
"learning_rate": 7.427536231884058e-06,
|
2021 |
-
"loss": 0.
|
2022 |
"step": 2350
|
2023 |
},
|
2024 |
{
|
2025 |
"epoch": 2.5543478260869565,
|
2026 |
-
"eval_loss": 0.
|
2027 |
-
"eval_runtime": 10.
|
2028 |
-
"eval_samples_per_second":
|
2029 |
-
"eval_steps_per_second": 2.
|
2030 |
"step": 2350
|
2031 |
},
|
2032 |
{
|
2033 |
"epoch": 2.5652173913043477,
|
2034 |
-
"grad_norm": 1.
|
2035 |
"learning_rate": 7.246376811594203e-06,
|
2036 |
-
"loss": 0.
|
2037 |
"step": 2360
|
2038 |
},
|
2039 |
{
|
2040 |
"epoch": 2.5760869565217392,
|
2041 |
-
"grad_norm": 1.
|
2042 |
"learning_rate": 7.065217391304347e-06,
|
2043 |
-
"loss": 0.
|
2044 |
"step": 2370
|
2045 |
},
|
2046 |
{
|
2047 |
"epoch": 2.5869565217391304,
|
2048 |
-
"grad_norm": 1.
|
2049 |
"learning_rate": 6.884057971014493e-06,
|
2050 |
-
"loss": 0.
|
2051 |
"step": 2380
|
2052 |
},
|
2053 |
{
|
2054 |
"epoch": 2.5978260869565215,
|
2055 |
-
"grad_norm": 1.
|
2056 |
"learning_rate": 6.702898550724638e-06,
|
2057 |
-
"loss": 0.
|
2058 |
"step": 2390
|
2059 |
},
|
2060 |
{
|
2061 |
"epoch": 2.608695652173913,
|
2062 |
-
"grad_norm": 1.
|
2063 |
"learning_rate": 6.521739130434783e-06,
|
2064 |
-
"loss": 0.
|
2065 |
"step": 2400
|
2066 |
},
|
2067 |
{
|
2068 |
"epoch": 2.608695652173913,
|
2069 |
-
"eval_loss": 0.
|
2070 |
-
"eval_runtime": 10.
|
2071 |
-
"eval_samples_per_second":
|
2072 |
-
"eval_steps_per_second": 2.
|
2073 |
"step": 2400
|
2074 |
}
|
2075 |
],
|
@@ -2090,7 +2090,7 @@
|
|
2090 |
"attributes": {}
|
2091 |
}
|
2092 |
},
|
2093 |
-
"total_flos": 2.
|
2094 |
"train_batch_size": 16,
|
2095 |
"trial_name": null,
|
2096 |
"trial_params": null
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.010869565217391304,
|
13 |
+
"grad_norm": 2.4570870399475098,
|
14 |
"learning_rate": 4.981884057971015e-05,
|
15 |
+
"loss": 2.3612,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.021739130434782608,
|
20 |
+
"grad_norm": 1.2042421102523804,
|
21 |
"learning_rate": 4.963768115942029e-05,
|
22 |
+
"loss": 1.1915,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.03260869565217391,
|
27 |
+
"grad_norm": 1.2019174098968506,
|
28 |
"learning_rate": 4.945652173913044e-05,
|
29 |
+
"loss": 0.8992,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.043478260869565216,
|
34 |
+
"grad_norm": 1.0546120405197144,
|
35 |
"learning_rate": 4.9275362318840584e-05,
|
36 |
+
"loss": 0.7276,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05434782608695652,
|
41 |
+
"grad_norm": 0.754091203212738,
|
42 |
"learning_rate": 4.909420289855073e-05,
|
43 |
+
"loss": 0.6419,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.05434782608695652,
|
48 |
+
"eval_loss": 0.7905128598213196,
|
49 |
+
"eval_runtime": 10.8418,
|
50 |
+
"eval_samples_per_second": 44.273,
|
51 |
+
"eval_steps_per_second": 2.767,
|
52 |
"step": 50
|
53 |
},
|
54 |
{
|
55 |
"epoch": 0.06521739130434782,
|
56 |
+
"grad_norm": 0.7751966714859009,
|
57 |
"learning_rate": 4.891304347826087e-05,
|
58 |
+
"loss": 0.5971,
|
59 |
"step": 60
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.07608695652173914,
|
63 |
+
"grad_norm": 0.6874057650566101,
|
64 |
"learning_rate": 4.873188405797102e-05,
|
65 |
+
"loss": 0.608,
|
66 |
"step": 70
|
67 |
},
|
68 |
{
|
69 |
"epoch": 0.08695652173913043,
|
70 |
+
"grad_norm": 0.7145748734474182,
|
71 |
"learning_rate": 4.855072463768116e-05,
|
72 |
+
"loss": 0.6111,
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
"epoch": 0.09782608695652174,
|
77 |
+
"grad_norm": 0.8841484189033508,
|
78 |
"learning_rate": 4.836956521739131e-05,
|
79 |
+
"loss": 0.5848,
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.10869565217391304,
|
84 |
+
"grad_norm": 0.7937784790992737,
|
85 |
"learning_rate": 4.818840579710145e-05,
|
86 |
+
"loss": 0.5699,
|
87 |
"step": 100
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.10869565217391304,
|
91 |
+
"eval_loss": 0.6956210732460022,
|
92 |
+
"eval_runtime": 10.863,
|
93 |
+
"eval_samples_per_second": 44.187,
|
94 |
+
"eval_steps_per_second": 2.762,
|
95 |
"step": 100
|
96 |
},
|
97 |
{
|
98 |
"epoch": 0.11956521739130435,
|
99 |
+
"grad_norm": 0.7818441987037659,
|
100 |
"learning_rate": 4.80072463768116e-05,
|
101 |
+
"loss": 0.5946,
|
102 |
"step": 110
|
103 |
},
|
104 |
{
|
105 |
"epoch": 0.13043478260869565,
|
106 |
+
"grad_norm": 0.8666340112686157,
|
107 |
"learning_rate": 4.782608695652174e-05,
|
108 |
+
"loss": 0.5469,
|
109 |
"step": 120
|
110 |
},
|
111 |
{
|
112 |
"epoch": 0.14130434782608695,
|
113 |
+
"grad_norm": 0.7637468576431274,
|
114 |
"learning_rate": 4.764492753623189e-05,
|
115 |
+
"loss": 0.5307,
|
116 |
"step": 130
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.15217391304347827,
|
120 |
+
"grad_norm": 0.8282362222671509,
|
121 |
"learning_rate": 4.746376811594203e-05,
|
122 |
+
"loss": 0.5312,
|
123 |
"step": 140
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.16304347826086957,
|
127 |
+
"grad_norm": 0.9675197601318359,
|
128 |
"learning_rate": 4.7282608695652177e-05,
|
129 |
+
"loss": 0.5486,
|
130 |
"step": 150
|
131 |
},
|
132 |
{
|
133 |
"epoch": 0.16304347826086957,
|
134 |
+
"eval_loss": 0.6567058563232422,
|
135 |
+
"eval_runtime": 10.8376,
|
136 |
+
"eval_samples_per_second": 44.29,
|
137 |
+
"eval_steps_per_second": 2.768,
|
138 |
"step": 150
|
139 |
},
|
140 |
{
|
141 |
"epoch": 0.17391304347826086,
|
142 |
+
"grad_norm": 0.7035924792289734,
|
143 |
"learning_rate": 4.710144927536232e-05,
|
144 |
+
"loss": 0.5553,
|
145 |
"step": 160
|
146 |
},
|
147 |
{
|
148 |
"epoch": 0.18478260869565216,
|
149 |
+
"grad_norm": 0.8957257866859436,
|
150 |
"learning_rate": 4.6920289855072464e-05,
|
151 |
+
"loss": 0.54,
|
152 |
"step": 170
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.1956521739130435,
|
156 |
+
"grad_norm": 0.8544663190841675,
|
157 |
"learning_rate": 4.673913043478261e-05,
|
158 |
+
"loss": 0.55,
|
159 |
"step": 180
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.20652173913043478,
|
163 |
+
"grad_norm": 0.7599456310272217,
|
164 |
"learning_rate": 4.655797101449276e-05,
|
165 |
+
"loss": 0.5102,
|
166 |
"step": 190
|
167 |
},
|
168 |
{
|
169 |
"epoch": 0.21739130434782608,
|
170 |
+
"grad_norm": 0.9151259064674377,
|
171 |
"learning_rate": 4.63768115942029e-05,
|
172 |
+
"loss": 0.5372,
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
"epoch": 0.21739130434782608,
|
177 |
+
"eval_loss": 0.6319016218185425,
|
178 |
+
"eval_runtime": 10.8237,
|
179 |
+
"eval_samples_per_second": 44.347,
|
180 |
+
"eval_steps_per_second": 2.772,
|
181 |
"step": 200
|
182 |
},
|
183 |
{
|
184 |
"epoch": 0.22826086956521738,
|
185 |
+
"grad_norm": 0.911018431186676,
|
186 |
"learning_rate": 4.6195652173913046e-05,
|
187 |
+
"loss": 0.5354,
|
188 |
"step": 210
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.2391304347826087,
|
192 |
+
"grad_norm": 0.7792191505432129,
|
193 |
"learning_rate": 4.601449275362319e-05,
|
194 |
+
"loss": 0.5297,
|
195 |
"step": 220
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.25,
|
199 |
+
"grad_norm": 0.7631202340126038,
|
200 |
"learning_rate": 4.5833333333333334e-05,
|
201 |
+
"loss": 0.5258,
|
202 |
"step": 230
|
203 |
},
|
204 |
{
|
205 |
"epoch": 0.2608695652173913,
|
206 |
+
"grad_norm": 0.7436497211456299,
|
207 |
"learning_rate": 4.565217391304348e-05,
|
208 |
+
"loss": 0.4849,
|
209 |
"step": 240
|
210 |
},
|
211 |
{
|
212 |
"epoch": 0.2717391304347826,
|
213 |
+
"grad_norm": 0.8372677564620972,
|
214 |
"learning_rate": 4.547101449275363e-05,
|
215 |
+
"loss": 0.5131,
|
216 |
"step": 250
|
217 |
},
|
218 |
{
|
219 |
"epoch": 0.2717391304347826,
|
220 |
+
"eval_loss": 0.6155125498771667,
|
221 |
+
"eval_runtime": 10.8327,
|
222 |
+
"eval_samples_per_second": 44.31,
|
223 |
+
"eval_steps_per_second": 2.769,
|
224 |
"step": 250
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.2826086956521739,
|
228 |
+
"grad_norm": 0.8056390285491943,
|
229 |
"learning_rate": 4.528985507246377e-05,
|
230 |
+
"loss": 0.4675,
|
231 |
"step": 260
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.29347826086956524,
|
235 |
+
"grad_norm": 0.8015912175178528,
|
236 |
"learning_rate": 4.5108695652173916e-05,
|
237 |
+
"loss": 0.4942,
|
238 |
"step": 270
|
239 |
},
|
240 |
{
|
241 |
"epoch": 0.30434782608695654,
|
242 |
+
"grad_norm": 0.8316887021064758,
|
243 |
"learning_rate": 4.492753623188406e-05,
|
244 |
+
"loss": 0.5025,
|
245 |
"step": 280
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.31521739130434784,
|
249 |
+
"grad_norm": 0.8440260887145996,
|
250 |
"learning_rate": 4.4746376811594203e-05,
|
251 |
+
"loss": 0.5112,
|
252 |
"step": 290
|
253 |
},
|
254 |
{
|
255 |
"epoch": 0.32608695652173914,
|
256 |
+
"grad_norm": 0.8523954153060913,
|
257 |
"learning_rate": 4.456521739130435e-05,
|
258 |
+
"loss": 0.4973,
|
259 |
"step": 300
|
260 |
},
|
261 |
{
|
262 |
"epoch": 0.32608695652173914,
|
263 |
+
"eval_loss": 0.6024141907691956,
|
264 |
+
"eval_runtime": 10.839,
|
265 |
+
"eval_samples_per_second": 44.284,
|
266 |
+
"eval_steps_per_second": 2.768,
|
267 |
"step": 300
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.33695652173913043,
|
271 |
+
"grad_norm": 0.8427216410636902,
|
272 |
"learning_rate": 4.438405797101449e-05,
|
273 |
+
"loss": 0.5271,
|
274 |
"step": 310
|
275 |
},
|
276 |
{
|
277 |
"epoch": 0.34782608695652173,
|
278 |
+
"grad_norm": 0.8126628398895264,
|
279 |
"learning_rate": 4.4202898550724645e-05,
|
280 |
+
"loss": 0.4608,
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
"epoch": 0.358695652173913,
|
285 |
+
"grad_norm": 0.9947460293769836,
|
286 |
"learning_rate": 4.4021739130434786e-05,
|
287 |
+
"loss": 0.4762,
|
288 |
"step": 330
|
289 |
},
|
290 |
{
|
291 |
"epoch": 0.3695652173913043,
|
292 |
+
"grad_norm": 0.7744721174240112,
|
293 |
"learning_rate": 4.384057971014493e-05,
|
294 |
+
"loss": 0.4993,
|
295 |
"step": 340
|
296 |
},
|
297 |
{
|
298 |
"epoch": 0.3804347826086957,
|
299 |
+
"grad_norm": 0.9483833909034729,
|
300 |
"learning_rate": 4.365942028985507e-05,
|
301 |
+
"loss": 0.497,
|
302 |
"step": 350
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.3804347826086957,
|
306 |
+
"eval_loss": 0.596432626247406,
|
307 |
+
"eval_runtime": 10.8191,
|
308 |
+
"eval_samples_per_second": 44.366,
|
309 |
+
"eval_steps_per_second": 2.773,
|
310 |
"step": 350
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.391304347826087,
|
314 |
+
"grad_norm": 0.7573915123939514,
|
315 |
"learning_rate": 4.347826086956522e-05,
|
316 |
+
"loss": 0.469,
|
317 |
"step": 360
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.40217391304347827,
|
321 |
+
"grad_norm": 0.8013887405395508,
|
322 |
"learning_rate": 4.329710144927536e-05,
|
323 |
+
"loss": 0.4704,
|
324 |
"step": 370
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.41304347826086957,
|
328 |
+
"grad_norm": 0.8412826657295227,
|
329 |
"learning_rate": 4.3115942028985515e-05,
|
330 |
+
"loss": 0.5033,
|
331 |
"step": 380
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.42391304347826086,
|
335 |
+
"grad_norm": 0.8203413486480713,
|
336 |
"learning_rate": 4.2934782608695655e-05,
|
337 |
+
"loss": 0.5063,
|
338 |
"step": 390
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.43478260869565216,
|
342 |
+
"grad_norm": 0.7952508926391602,
|
343 |
"learning_rate": 4.27536231884058e-05,
|
344 |
+
"loss": 0.4706,
|
345 |
"step": 400
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.43478260869565216,
|
349 |
+
"eval_loss": 0.5875406861305237,
|
350 |
+
"eval_runtime": 10.8328,
|
351 |
+
"eval_samples_per_second": 44.31,
|
352 |
+
"eval_steps_per_second": 2.769,
|
353 |
"step": 400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 0.44565217391304346,
|
357 |
+
"grad_norm": 0.9020015597343445,
|
358 |
"learning_rate": 4.257246376811594e-05,
|
359 |
+
"loss": 0.4786,
|
360 |
"step": 410
|
361 |
},
|
362 |
{
|
363 |
"epoch": 0.45652173913043476,
|
364 |
+
"grad_norm": 0.8588363528251648,
|
365 |
"learning_rate": 4.239130434782609e-05,
|
366 |
+
"loss": 0.482,
|
367 |
"step": 420
|
368 |
},
|
369 |
{
|
370 |
"epoch": 0.4673913043478261,
|
371 |
+
"grad_norm": 0.816198468208313,
|
372 |
"learning_rate": 4.221014492753623e-05,
|
373 |
+
"loss": 0.4683,
|
374 |
"step": 430
|
375 |
},
|
376 |
{
|
377 |
"epoch": 0.4782608695652174,
|
378 |
+
"grad_norm": 0.8713563680648804,
|
379 |
"learning_rate": 4.202898550724638e-05,
|
380 |
+
"loss": 0.4422,
|
381 |
"step": 440
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.4891304347826087,
|
385 |
+
"grad_norm": 0.8633397817611694,
|
386 |
"learning_rate": 4.1847826086956525e-05,
|
387 |
+
"loss": 0.45,
|
388 |
"step": 450
|
389 |
},
|
390 |
{
|
391 |
"epoch": 0.4891304347826087,
|
392 |
+
"eval_loss": 0.5812788605690002,
|
393 |
+
"eval_runtime": 10.8048,
|
394 |
+
"eval_samples_per_second": 44.425,
|
395 |
+
"eval_steps_per_second": 2.777,
|
396 |
"step": 450
|
397 |
},
|
398 |
{
|
399 |
"epoch": 0.5,
|
400 |
+
"grad_norm": 0.8244722485542297,
|
401 |
"learning_rate": 4.166666666666667e-05,
|
402 |
+
"loss": 0.4911,
|
403 |
"step": 460
|
404 |
},
|
405 |
{
|
406 |
"epoch": 0.5108695652173914,
|
407 |
+
"grad_norm": 0.8201929926872253,
|
408 |
"learning_rate": 4.148550724637681e-05,
|
409 |
+
"loss": 0.4611,
|
410 |
"step": 470
|
411 |
},
|
412 |
{
|
413 |
"epoch": 0.5217391304347826,
|
414 |
+
"grad_norm": 0.9646862149238586,
|
415 |
"learning_rate": 4.130434782608696e-05,
|
416 |
+
"loss": 0.4738,
|
417 |
"step": 480
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.532608695652174,
|
421 |
+
"grad_norm": 0.9149807095527649,
|
422 |
"learning_rate": 4.11231884057971e-05,
|
423 |
+
"loss": 0.4603,
|
424 |
"step": 490
|
425 |
},
|
426 |
{
|
427 |
"epoch": 0.5434782608695652,
|
428 |
+
"grad_norm": 0.8054277896881104,
|
429 |
"learning_rate": 4.094202898550725e-05,
|
430 |
+
"loss": 0.466,
|
431 |
"step": 500
|
432 |
},
|
433 |
{
|
434 |
"epoch": 0.5434782608695652,
|
435 |
+
"eval_loss": 0.573806881904602,
|
436 |
+
"eval_runtime": 10.7906,
|
437 |
+
"eval_samples_per_second": 44.483,
|
438 |
+
"eval_steps_per_second": 2.78,
|
439 |
"step": 500
|
440 |
},
|
441 |
{
|
442 |
"epoch": 0.5543478260869565,
|
443 |
+
"grad_norm": 0.9110711812973022,
|
444 |
"learning_rate": 4.076086956521739e-05,
|
445 |
+
"loss": 0.4777,
|
446 |
"step": 510
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.5652173913043478,
|
450 |
+
"grad_norm": 0.8030044436454773,
|
451 |
"learning_rate": 4.057971014492754e-05,
|
452 |
+
"loss": 0.4965,
|
453 |
"step": 520
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.5760869565217391,
|
457 |
+
"grad_norm": 0.8847204446792603,
|
458 |
"learning_rate": 4.039855072463768e-05,
|
459 |
+
"loss": 0.4843,
|
460 |
"step": 530
|
461 |
},
|
462 |
{
|
463 |
"epoch": 0.5869565217391305,
|
464 |
+
"grad_norm": 0.9041047692298889,
|
465 |
"learning_rate": 4.021739130434783e-05,
|
466 |
+
"loss": 0.4548,
|
467 |
"step": 540
|
468 |
},
|
469 |
{
|
470 |
"epoch": 0.5978260869565217,
|
471 |
+
"grad_norm": 0.8136462569236755,
|
472 |
"learning_rate": 4.003623188405797e-05,
|
473 |
+
"loss": 0.4543,
|
474 |
"step": 550
|
475 |
},
|
476 |
{
|
477 |
"epoch": 0.5978260869565217,
|
478 |
+
"eval_loss": 0.5662083029747009,
|
479 |
+
"eval_runtime": 10.7748,
|
480 |
+
"eval_samples_per_second": 44.549,
|
481 |
+
"eval_steps_per_second": 2.784,
|
482 |
"step": 550
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.6086956521739131,
|
486 |
+
"grad_norm": 0.9470314383506775,
|
487 |
"learning_rate": 3.985507246376812e-05,
|
488 |
+
"loss": 0.4852,
|
489 |
"step": 560
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.6195652173913043,
|
493 |
+
"grad_norm": 0.9280235171318054,
|
494 |
"learning_rate": 3.9673913043478264e-05,
|
495 |
+
"loss": 0.4655,
|
496 |
"step": 570
|
497 |
},
|
498 |
{
|
499 |
"epoch": 0.6304347826086957,
|
500 |
+
"grad_norm": 0.9118008017539978,
|
501 |
"learning_rate": 3.9492753623188405e-05,
|
502 |
+
"loss": 0.449,
|
503 |
"step": 580
|
504 |
},
|
505 |
{
|
506 |
"epoch": 0.6413043478260869,
|
507 |
+
"grad_norm": 0.9286589026451111,
|
508 |
"learning_rate": 3.931159420289855e-05,
|
509 |
+
"loss": 0.448,
|
510 |
"step": 590
|
511 |
},
|
512 |
{
|
513 |
"epoch": 0.6521739130434783,
|
514 |
+
"grad_norm": 0.7761940956115723,
|
515 |
"learning_rate": 3.91304347826087e-05,
|
516 |
+
"loss": 0.4363,
|
517 |
"step": 600
|
518 |
},
|
519 |
{
|
520 |
"epoch": 0.6521739130434783,
|
521 |
+
"eval_loss": 0.5645204186439514,
|
522 |
+
"eval_runtime": 10.7763,
|
523 |
+
"eval_samples_per_second": 44.542,
|
524 |
+
"eval_steps_per_second": 2.784,
|
525 |
"step": 600
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.6630434782608695,
|
529 |
+
"grad_norm": 0.9244002103805542,
|
530 |
"learning_rate": 3.8949275362318846e-05,
|
531 |
+
"loss": 0.4354,
|
532 |
"step": 610
|
533 |
},
|
534 |
{
|
535 |
"epoch": 0.6739130434782609,
|
536 |
+
"grad_norm": 0.8263306021690369,
|
537 |
"learning_rate": 3.876811594202899e-05,
|
538 |
+
"loss": 0.4951,
|
539 |
"step": 620
|
540 |
},
|
541 |
{
|
542 |
"epoch": 0.6847826086956522,
|
543 |
+
"grad_norm": 0.8908408284187317,
|
544 |
"learning_rate": 3.8586956521739134e-05,
|
545 |
+
"loss": 0.4401,
|
546 |
"step": 630
|
547 |
},
|
548 |
{
|
549 |
"epoch": 0.6956521739130435,
|
550 |
+
"grad_norm": 0.8497889637947083,
|
551 |
"learning_rate": 3.8405797101449274e-05,
|
552 |
+
"loss": 0.4514,
|
553 |
"step": 640
|
554 |
},
|
555 |
{
|
556 |
"epoch": 0.7065217391304348,
|
557 |
+
"grad_norm": 0.8306752443313599,
|
558 |
"learning_rate": 3.822463768115942e-05,
|
559 |
+
"loss": 0.4503,
|
560 |
"step": 650
|
561 |
},
|
562 |
{
|
563 |
"epoch": 0.7065217391304348,
|
564 |
+
"eval_loss": 0.5576011538505554,
|
565 |
+
"eval_runtime": 10.7704,
|
566 |
+
"eval_samples_per_second": 44.567,
|
567 |
+
"eval_steps_per_second": 2.785,
|
568 |
"step": 650
|
569 |
},
|
570 |
{
|
571 |
"epoch": 0.717391304347826,
|
572 |
+
"grad_norm": 0.898961067199707,
|
573 |
"learning_rate": 3.804347826086957e-05,
|
574 |
+
"loss": 0.4185,
|
575 |
"step": 660
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.7282608695652174,
|
579 |
+
"grad_norm": 0.8870590925216675,
|
580 |
"learning_rate": 3.7862318840579716e-05,
|
581 |
+
"loss": 0.4303,
|
582 |
"step": 670
|
583 |
},
|
584 |
{
|
585 |
"epoch": 0.7391304347826086,
|
586 |
+
"grad_norm": 0.8863015174865723,
|
587 |
"learning_rate": 3.7681159420289856e-05,
|
588 |
+
"loss": 0.4356,
|
589 |
"step": 680
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.75,
|
593 |
+
"grad_norm": 0.852130651473999,
|
594 |
"learning_rate": 3.7500000000000003e-05,
|
595 |
+
"loss": 0.4756,
|
596 |
"step": 690
|
597 |
},
|
598 |
{
|
599 |
"epoch": 0.7608695652173914,
|
600 |
+
"grad_norm": 0.8342716097831726,
|
601 |
"learning_rate": 3.7318840579710144e-05,
|
602 |
+
"loss": 0.4955,
|
603 |
"step": 700
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.7608695652173914,
|
607 |
+
"eval_loss": 0.5521832704544067,
|
608 |
+
"eval_runtime": 10.7828,
|
609 |
+
"eval_samples_per_second": 44.515,
|
610 |
+
"eval_steps_per_second": 2.782,
|
611 |
"step": 700
|
612 |
},
|
613 |
{
|
614 |
"epoch": 0.7717391304347826,
|
615 |
+
"grad_norm": 0.8382502794265747,
|
616 |
"learning_rate": 3.713768115942029e-05,
|
617 |
+
"loss": 0.4435,
|
618 |
"step": 710
|
619 |
},
|
620 |
{
|
621 |
"epoch": 0.782608695652174,
|
622 |
+
"grad_norm": 0.9789420962333679,
|
623 |
"learning_rate": 3.695652173913043e-05,
|
624 |
+
"loss": 0.3957,
|
625 |
"step": 720
|
626 |
},
|
627 |
{
|
628 |
"epoch": 0.7934782608695652,
|
629 |
+
"grad_norm": 0.8945524096488953,
|
630 |
"learning_rate": 3.6775362318840586e-05,
|
631 |
+
"loss": 0.4565,
|
632 |
"step": 730
|
633 |
},
|
634 |
{
|
635 |
"epoch": 0.8043478260869565,
|
636 |
+
"grad_norm": 0.9632206559181213,
|
637 |
"learning_rate": 3.6594202898550726e-05,
|
638 |
+
"loss": 0.4312,
|
639 |
"step": 740
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.8152173913043478,
|
643 |
+
"grad_norm": 0.8000399470329285,
|
644 |
"learning_rate": 3.641304347826087e-05,
|
645 |
+
"loss": 0.429,
|
646 |
"step": 750
|
647 |
},
|
648 |
{
|
649 |
"epoch": 0.8152173913043478,
|
650 |
+
"eval_loss": 0.550889790058136,
|
651 |
+
"eval_runtime": 10.7987,
|
652 |
+
"eval_samples_per_second": 44.45,
|
653 |
+
"eval_steps_per_second": 2.778,
|
654 |
"step": 750
|
655 |
},
|
656 |
{
|
657 |
"epoch": 0.8260869565217391,
|
658 |
+
"grad_norm": 0.8817518353462219,
|
659 |
"learning_rate": 3.6231884057971014e-05,
|
660 |
+
"loss": 0.4464,
|
661 |
"step": 760
|
662 |
},
|
663 |
{
|
664 |
"epoch": 0.8369565217391305,
|
665 |
+
"grad_norm": 0.9800861477851868,
|
666 |
"learning_rate": 3.605072463768116e-05,
|
667 |
+
"loss": 0.4577,
|
668 |
"step": 770
|
669 |
},
|
670 |
{
|
671 |
"epoch": 0.8478260869565217,
|
672 |
+
"grad_norm": 0.846571683883667,
|
673 |
"learning_rate": 3.58695652173913e-05,
|
674 |
+
"loss": 0.4169,
|
675 |
"step": 780
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.8586956521739131,
|
679 |
+
"grad_norm": 0.8653192520141602,
|
680 |
"learning_rate": 3.568840579710145e-05,
|
681 |
+
"loss": 0.4195,
|
682 |
"step": 790
|
683 |
},
|
684 |
{
|
685 |
"epoch": 0.8695652173913043,
|
686 |
+
"grad_norm": 0.8515974283218384,
|
687 |
"learning_rate": 3.5507246376811596e-05,
|
688 |
+
"loss": 0.4366,
|
689 |
"step": 800
|
690 |
},
|
691 |
{
|
692 |
"epoch": 0.8695652173913043,
|
693 |
+
"eval_loss": 0.543337881565094,
|
694 |
+
"eval_runtime": 10.8166,
|
695 |
+
"eval_samples_per_second": 44.376,
|
696 |
+
"eval_steps_per_second": 2.774,
|
697 |
"step": 800
|
698 |
},
|
699 |
{
|
700 |
"epoch": 0.8804347826086957,
|
701 |
+
"grad_norm": 0.947827935218811,
|
702 |
"learning_rate": 3.532608695652174e-05,
|
703 |
+
"loss": 0.4498,
|
704 |
"step": 810
|
705 |
},
|
706 |
{
|
707 |
"epoch": 0.8913043478260869,
|
708 |
+
"grad_norm": 0.866033136844635,
|
709 |
"learning_rate": 3.514492753623188e-05,
|
710 |
+
"loss": 0.4495,
|
711 |
"step": 820
|
712 |
},
|
713 |
{
|
714 |
"epoch": 0.9021739130434783,
|
715 |
+
"grad_norm": 0.8692104816436768,
|
716 |
"learning_rate": 3.496376811594203e-05,
|
717 |
+
"loss": 0.4502,
|
718 |
"step": 830
|
719 |
},
|
720 |
{
|
721 |
"epoch": 0.9130434782608695,
|
722 |
+
"grad_norm": 0.8841784596443176,
|
723 |
"learning_rate": 3.478260869565218e-05,
|
724 |
+
"loss": 0.4577,
|
725 |
"step": 840
|
726 |
},
|
727 |
{
|
728 |
"epoch": 0.9239130434782609,
|
729 |
+
"grad_norm": 0.9257445335388184,
|
730 |
"learning_rate": 3.460144927536232e-05,
|
731 |
+
"loss": 0.4329,
|
732 |
"step": 850
|
733 |
},
|
734 |
{
|
735 |
"epoch": 0.9239130434782609,
|
736 |
+
"eval_loss": 0.5429030060768127,
|
737 |
+
"eval_runtime": 10.8284,
|
738 |
+
"eval_samples_per_second": 44.328,
|
739 |
+
"eval_steps_per_second": 2.77,
|
740 |
"step": 850
|
741 |
},
|
742 |
{
|
743 |
"epoch": 0.9347826086956522,
|
744 |
+
"grad_norm": 0.8753738403320312,
|
745 |
"learning_rate": 3.4420289855072465e-05,
|
746 |
+
"loss": 0.422,
|
747 |
"step": 860
|
748 |
},
|
749 |
{
|
750 |
"epoch": 0.9456521739130435,
|
751 |
+
"grad_norm": 0.8853139877319336,
|
752 |
"learning_rate": 3.423913043478261e-05,
|
753 |
+
"loss": 0.4357,
|
754 |
"step": 870
|
755 |
},
|
756 |
{
|
757 |
"epoch": 0.9565217391304348,
|
758 |
+
"grad_norm": 0.8637978434562683,
|
759 |
"learning_rate": 3.405797101449276e-05,
|
760 |
+
"loss": 0.4254,
|
761 |
"step": 880
|
762 |
},
|
763 |
{
|
764 |
"epoch": 0.967391304347826,
|
765 |
+
"grad_norm": 0.9090889096260071,
|
766 |
"learning_rate": 3.38768115942029e-05,
|
767 |
+
"loss": 0.4526,
|
768 |
"step": 890
|
769 |
},
|
770 |
{
|
771 |
"epoch": 0.9782608695652174,
|
772 |
+
"grad_norm": 0.8591863512992859,
|
773 |
"learning_rate": 3.369565217391305e-05,
|
774 |
+
"loss": 0.4566,
|
775 |
"step": 900
|
776 |
},
|
777 |
{
|
778 |
"epoch": 0.9782608695652174,
|
779 |
+
"eval_loss": 0.5399300456047058,
|
780 |
+
"eval_runtime": 10.8533,
|
781 |
+
"eval_samples_per_second": 44.226,
|
782 |
+
"eval_steps_per_second": 2.764,
|
783 |
"step": 900
|
784 |
},
|
785 |
{
|
786 |
"epoch": 0.9891304347826086,
|
787 |
+
"grad_norm": 0.8273764848709106,
|
788 |
"learning_rate": 3.351449275362319e-05,
|
789 |
+
"loss": 0.4182,
|
790 |
"step": 910
|
791 |
},
|
792 |
{
|
793 |
"epoch": 1.0,
|
794 |
+
"grad_norm": 1.5736610889434814,
|
795 |
"learning_rate": 3.3333333333333335e-05,
|
796 |
+
"loss": 0.4548,
|
797 |
"step": 920
|
798 |
},
|
799 |
{
|
800 |
"epoch": 1.0108695652173914,
|
801 |
+
"grad_norm": 0.8933672904968262,
|
802 |
"learning_rate": 3.3152173913043475e-05,
|
803 |
+
"loss": 0.3834,
|
804 |
"step": 930
|
805 |
},
|
806 |
{
|
807 |
"epoch": 1.0217391304347827,
|
808 |
+
"grad_norm": 0.9641056060791016,
|
809 |
"learning_rate": 3.297101449275363e-05,
|
810 |
+
"loss": 0.3962,
|
811 |
"step": 940
|
812 |
},
|
813 |
{
|
814 |
"epoch": 1.0326086956521738,
|
815 |
+
"grad_norm": 0.8840826153755188,
|
816 |
"learning_rate": 3.278985507246377e-05,
|
817 |
+
"loss": 0.3886,
|
818 |
"step": 950
|
819 |
},
|
820 |
{
|
821 |
"epoch": 1.0326086956521738,
|
822 |
+
"eval_loss": 0.5417191982269287,
|
823 |
+
"eval_runtime": 10.828,
|
824 |
+
"eval_samples_per_second": 44.33,
|
825 |
+
"eval_steps_per_second": 2.771,
|
826 |
"step": 950
|
827 |
},
|
828 |
{
|
829 |
"epoch": 1.0434782608695652,
|
830 |
+
"grad_norm": 0.9005197286605835,
|
831 |
"learning_rate": 3.260869565217392e-05,
|
832 |
+
"loss": 0.3887,
|
833 |
"step": 960
|
834 |
},
|
835 |
{
|
836 |
"epoch": 1.0543478260869565,
|
837 |
+
"grad_norm": 1.0132256746292114,
|
838 |
"learning_rate": 3.242753623188406e-05,
|
839 |
+
"loss": 0.4026,
|
840 |
"step": 970
|
841 |
},
|
842 |
{
|
843 |
"epoch": 1.065217391304348,
|
844 |
+
"grad_norm": 1.1139558553695679,
|
845 |
"learning_rate": 3.2246376811594205e-05,
|
846 |
+
"loss": 0.3703,
|
847 |
"step": 980
|
848 |
},
|
849 |
{
|
850 |
"epoch": 1.0760869565217392,
|
851 |
+
"grad_norm": 0.9440574049949646,
|
852 |
"learning_rate": 3.2065217391304345e-05,
|
853 |
+
"loss": 0.3766,
|
854 |
"step": 990
|
855 |
},
|
856 |
{
|
857 |
"epoch": 1.0869565217391304,
|
858 |
+
"grad_norm": 1.0028133392333984,
|
859 |
"learning_rate": 3.188405797101449e-05,
|
860 |
+
"loss": 0.4038,
|
861 |
"step": 1000
|
862 |
},
|
863 |
{
|
864 |
"epoch": 1.0869565217391304,
|
865 |
+
"eval_loss": 0.5413796901702881,
|
866 |
+
"eval_runtime": 10.822,
|
867 |
+
"eval_samples_per_second": 44.354,
|
868 |
+
"eval_steps_per_second": 2.772,
|
869 |
"step": 1000
|
870 |
},
|
871 |
{
|
872 |
"epoch": 1.0978260869565217,
|
873 |
+
"grad_norm": 0.9884430766105652,
|
874 |
"learning_rate": 3.170289855072464e-05,
|
875 |
+
"loss": 0.4134,
|
876 |
"step": 1010
|
877 |
},
|
878 |
{
|
879 |
"epoch": 1.108695652173913,
|
880 |
+
"grad_norm": 0.920870840549469,
|
881 |
"learning_rate": 3.152173913043479e-05,
|
882 |
+
"loss": 0.3837,
|
883 |
"step": 1020
|
884 |
},
|
885 |
{
|
886 |
"epoch": 1.1195652173913044,
|
887 |
+
"grad_norm": 0.942890465259552,
|
888 |
"learning_rate": 3.134057971014493e-05,
|
889 |
+
"loss": 0.38,
|
890 |
"step": 1030
|
891 |
},
|
892 |
{
|
893 |
"epoch": 1.1304347826086956,
|
894 |
+
"grad_norm": 1.0265600681304932,
|
895 |
"learning_rate": 3.1159420289855074e-05,
|
896 |
+
"loss": 0.3988,
|
897 |
"step": 1040
|
898 |
},
|
899 |
{
|
900 |
"epoch": 1.141304347826087,
|
901 |
+
"grad_norm": 0.9994137287139893,
|
902 |
"learning_rate": 3.0978260869565215e-05,
|
903 |
+
"loss": 0.3649,
|
904 |
"step": 1050
|
905 |
},
|
906 |
{
|
907 |
"epoch": 1.141304347826087,
|
908 |
+
"eval_loss": 0.537377655506134,
|
909 |
+
"eval_runtime": 10.7968,
|
910 |
+
"eval_samples_per_second": 44.458,
|
911 |
+
"eval_steps_per_second": 2.779,
|
912 |
"step": 1050
|
913 |
},
|
914 |
{
|
915 |
"epoch": 1.1521739130434783,
|
916 |
+
"grad_norm": 0.9697039723396301,
|
917 |
"learning_rate": 3.079710144927536e-05,
|
918 |
+
"loss": 0.393,
|
919 |
"step": 1060
|
920 |
},
|
921 |
{
|
922 |
"epoch": 1.1630434782608696,
|
923 |
+
"grad_norm": 0.9805816411972046,
|
924 |
"learning_rate": 3.061594202898551e-05,
|
925 |
+
"loss": 0.3594,
|
926 |
"step": 1070
|
927 |
},
|
928 |
{
|
929 |
"epoch": 1.1739130434782608,
|
930 |
+
"grad_norm": 0.9799211621284485,
|
931 |
"learning_rate": 3.0434782608695656e-05,
|
932 |
+
"loss": 0.387,
|
933 |
"step": 1080
|
934 |
},
|
935 |
{
|
936 |
"epoch": 1.184782608695652,
|
937 |
+
"grad_norm": 0.9287502765655518,
|
938 |
"learning_rate": 3.02536231884058e-05,
|
939 |
+
"loss": 0.3889,
|
940 |
"step": 1090
|
941 |
},
|
942 |
{
|
943 |
"epoch": 1.1956521739130435,
|
944 |
+
"grad_norm": 1.042643666267395,
|
945 |
"learning_rate": 3.0072463768115944e-05,
|
946 |
+
"loss": 0.3894,
|
947 |
"step": 1100
|
948 |
},
|
949 |
{
|
950 |
"epoch": 1.1956521739130435,
|
951 |
+
"eval_loss": 0.5378063917160034,
|
952 |
+
"eval_runtime": 10.77,
|
953 |
+
"eval_samples_per_second": 44.568,
|
954 |
+
"eval_steps_per_second": 2.786,
|
955 |
"step": 1100
|
956 |
},
|
957 |
{
|
958 |
"epoch": 1.2065217391304348,
|
959 |
+
"grad_norm": 0.963258683681488,
|
960 |
"learning_rate": 2.9891304347826088e-05,
|
961 |
+
"loss": 0.3824,
|
962 |
"step": 1110
|
963 |
},
|
964 |
{
|
965 |
"epoch": 1.2173913043478262,
|
966 |
+
"grad_norm": 0.939275860786438,
|
967 |
"learning_rate": 2.971014492753623e-05,
|
968 |
+
"loss": 0.3898,
|
969 |
"step": 1120
|
970 |
},
|
971 |
{
|
972 |
"epoch": 1.2282608695652173,
|
973 |
+
"grad_norm": 1.1144332885742188,
|
974 |
"learning_rate": 2.9528985507246375e-05,
|
975 |
+
"loss": 0.3754,
|
976 |
"step": 1130
|
977 |
},
|
978 |
{
|
979 |
"epoch": 1.2391304347826086,
|
980 |
+
"grad_norm": 0.999047577381134,
|
981 |
"learning_rate": 2.9347826086956526e-05,
|
982 |
+
"loss": 0.3876,
|
983 |
"step": 1140
|
984 |
},
|
985 |
{
|
986 |
"epoch": 1.25,
|
987 |
+
"grad_norm": 1.024510383605957,
|
988 |
"learning_rate": 2.916666666666667e-05,
|
989 |
+
"loss": 0.3782,
|
990 |
"step": 1150
|
991 |
},
|
992 |
{
|
993 |
"epoch": 1.25,
|
994 |
+
"eval_loss": 0.5348225831985474,
|
995 |
+
"eval_runtime": 10.7748,
|
996 |
+
"eval_samples_per_second": 44.548,
|
997 |
+
"eval_steps_per_second": 2.784,
|
998 |
"step": 1150
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 1.2608695652173914,
|
1002 |
+
"grad_norm": 1.0736693143844604,
|
1003 |
"learning_rate": 2.8985507246376814e-05,
|
1004 |
+
"loss": 0.3895,
|
1005 |
"step": 1160
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 1.2717391304347827,
|
1009 |
+
"grad_norm": 0.9759789705276489,
|
1010 |
"learning_rate": 2.8804347826086957e-05,
|
1011 |
+
"loss": 0.3989,
|
1012 |
"step": 1170
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 1.2826086956521738,
|
1016 |
+
"grad_norm": 0.8532370328903198,
|
1017 |
"learning_rate": 2.86231884057971e-05,
|
1018 |
+
"loss": 0.3814,
|
1019 |
"step": 1180
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 1.2934782608695652,
|
1023 |
+
"grad_norm": 0.9838298559188843,
|
1024 |
"learning_rate": 2.8442028985507245e-05,
|
1025 |
+
"loss": 0.3864,
|
1026 |
"step": 1190
|
1027 |
},
|
1028 |
{
|
1029 |
"epoch": 1.3043478260869565,
|
1030 |
+
"grad_norm": 0.8785775899887085,
|
1031 |
"learning_rate": 2.826086956521739e-05,
|
1032 |
+
"loss": 0.3676,
|
1033 |
"step": 1200
|
1034 |
},
|
1035 |
{
|
1036 |
"epoch": 1.3043478260869565,
|
1037 |
+
"eval_loss": 0.5335877537727356,
|
1038 |
+
"eval_runtime": 10.7959,
|
1039 |
+
"eval_samples_per_second": 44.461,
|
1040 |
+
"eval_steps_per_second": 2.779,
|
1041 |
"step": 1200
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 1.315217391304348,
|
1045 |
+
"grad_norm": 0.9719653129577637,
|
1046 |
"learning_rate": 2.807971014492754e-05,
|
1047 |
+
"loss": 0.3913,
|
1048 |
"step": 1210
|
1049 |
},
|
1050 |
{
|
1051 |
"epoch": 1.3260869565217392,
|
1052 |
+
"grad_norm": 0.9099355340003967,
|
1053 |
"learning_rate": 2.7898550724637683e-05,
|
1054 |
+
"loss": 0.4019,
|
1055 |
"step": 1220
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 1.3369565217391304,
|
1059 |
+
"grad_norm": 0.9192841649055481,
|
1060 |
"learning_rate": 2.7717391304347827e-05,
|
1061 |
+
"loss": 0.3921,
|
1062 |
"step": 1230
|
1063 |
},
|
1064 |
{
|
1065 |
"epoch": 1.3478260869565217,
|
1066 |
+
"grad_norm": 1.1005280017852783,
|
1067 |
"learning_rate": 2.753623188405797e-05,
|
1068 |
+
"loss": 0.3892,
|
1069 |
"step": 1240
|
1070 |
},
|
1071 |
{
|
1072 |
"epoch": 1.358695652173913,
|
1073 |
+
"grad_norm": 0.9969606995582581,
|
1074 |
"learning_rate": 2.7355072463768118e-05,
|
1075 |
+
"loss": 0.3756,
|
1076 |
"step": 1250
|
1077 |
},
|
1078 |
{
|
1079 |
"epoch": 1.358695652173913,
|
1080 |
+
"eval_loss": 0.5348997712135315,
|
1081 |
+
"eval_runtime": 10.8018,
|
1082 |
+
"eval_samples_per_second": 44.437,
|
1083 |
+
"eval_steps_per_second": 2.777,
|
1084 |
"step": 1250
|
1085 |
},
|
1086 |
{
|
1087 |
"epoch": 1.3695652173913042,
|
1088 |
+
"grad_norm": 1.1843461990356445,
|
1089 |
"learning_rate": 2.7173913043478262e-05,
|
1090 |
+
"loss": 0.3751,
|
1091 |
"step": 1260
|
1092 |
},
|
1093 |
{
|
1094 |
"epoch": 1.3804347826086958,
|
1095 |
+
"grad_norm": 0.9097041487693787,
|
1096 |
"learning_rate": 2.6992753623188406e-05,
|
1097 |
+
"loss": 0.3852,
|
1098 |
"step": 1270
|
1099 |
},
|
1100 |
{
|
1101 |
"epoch": 1.391304347826087,
|
1102 |
+
"grad_norm": 0.9780197739601135,
|
1103 |
"learning_rate": 2.6811594202898553e-05,
|
1104 |
+
"loss": 0.3776,
|
1105 |
"step": 1280
|
1106 |
},
|
1107 |
{
|
1108 |
"epoch": 1.4021739130434783,
|
1109 |
+
"grad_norm": 1.0949311256408691,
|
1110 |
"learning_rate": 2.66304347826087e-05,
|
1111 |
+
"loss": 0.3517,
|
1112 |
"step": 1290
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 1.4130434782608696,
|
1116 |
+
"grad_norm": 1.0105839967727661,
|
1117 |
"learning_rate": 2.6449275362318844e-05,
|
1118 |
+
"loss": 0.384,
|
1119 |
"step": 1300
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 1.4130434782608696,
|
1123 |
+
"eval_loss": 0.5327685475349426,
|
1124 |
+
"eval_runtime": 10.8023,
|
1125 |
+
"eval_samples_per_second": 44.435,
|
1126 |
+
"eval_steps_per_second": 2.777,
|
1127 |
"step": 1300
|
1128 |
},
|
1129 |
{
|
1130 |
"epoch": 1.4239130434782608,
|
1131 |
+
"grad_norm": 1.0113478899002075,
|
1132 |
"learning_rate": 2.6268115942028988e-05,
|
1133 |
+
"loss": 0.3774,
|
1134 |
"step": 1310
|
1135 |
},
|
1136 |
{
|
1137 |
"epoch": 1.434782608695652,
|
1138 |
+
"grad_norm": 1.0456714630126953,
|
1139 |
"learning_rate": 2.608695652173913e-05,
|
1140 |
+
"loss": 0.3618,
|
1141 |
"step": 1320
|
1142 |
},
|
1143 |
{
|
1144 |
"epoch": 1.4456521739130435,
|
1145 |
+
"grad_norm": 1.048971176147461,
|
1146 |
"learning_rate": 2.5905797101449275e-05,
|
1147 |
+
"loss": 0.3707,
|
1148 |
"step": 1330
|
1149 |
},
|
1150 |
{
|
1151 |
"epoch": 1.4565217391304348,
|
1152 |
+
"grad_norm": 0.9918339252471924,
|
1153 |
"learning_rate": 2.572463768115942e-05,
|
1154 |
+
"loss": 0.3979,
|
1155 |
"step": 1340
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 1.4673913043478262,
|
1159 |
+
"grad_norm": 0.8943142890930176,
|
1160 |
"learning_rate": 2.554347826086957e-05,
|
1161 |
+
"loss": 0.3647,
|
1162 |
"step": 1350
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 1.4673913043478262,
|
1166 |
+
"eval_loss": 0.530137836933136,
|
1167 |
+
"eval_runtime": 10.8212,
|
1168 |
+
"eval_samples_per_second": 44.357,
|
1169 |
+
"eval_steps_per_second": 2.772,
|
1170 |
"step": 1350
|
1171 |
},
|
1172 |
{
|
1173 |
"epoch": 1.4782608695652173,
|
1174 |
+
"grad_norm": 1.1170648336410522,
|
1175 |
"learning_rate": 2.5362318840579714e-05,
|
1176 |
+
"loss": 0.3752,
|
1177 |
"step": 1360
|
1178 |
},
|
1179 |
{
|
1180 |
"epoch": 1.4891304347826086,
|
1181 |
+
"grad_norm": 1.0574833154678345,
|
1182 |
"learning_rate": 2.5181159420289857e-05,
|
1183 |
+
"loss": 0.4005,
|
1184 |
"step": 1370
|
1185 |
},
|
1186 |
{
|
1187 |
"epoch": 1.5,
|
1188 |
+
"grad_norm": 1.0728522539138794,
|
1189 |
"learning_rate": 2.5e-05,
|
1190 |
+
"loss": 0.404,
|
1191 |
"step": 1380
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 1.5108695652173914,
|
1195 |
+
"grad_norm": 1.0159659385681152,
|
1196 |
"learning_rate": 2.4818840579710145e-05,
|
1197 |
+
"loss": 0.4051,
|
1198 |
"step": 1390
|
1199 |
},
|
1200 |
{
|
1201 |
"epoch": 1.5217391304347827,
|
1202 |
+
"grad_norm": 0.9714246392250061,
|
1203 |
"learning_rate": 2.4637681159420292e-05,
|
1204 |
+
"loss": 0.3775,
|
1205 |
"step": 1400
|
1206 |
},
|
1207 |
{
|
1208 |
"epoch": 1.5217391304347827,
|
1209 |
+
"eval_loss": 0.528946578502655,
|
1210 |
+
"eval_runtime": 10.8248,
|
1211 |
+
"eval_samples_per_second": 44.343,
|
1212 |
+
"eval_steps_per_second": 2.771,
|
1213 |
"step": 1400
|
1214 |
},
|
1215 |
{
|
1216 |
"epoch": 1.5326086956521738,
|
1217 |
+
"grad_norm": 1.0848588943481445,
|
1218 |
"learning_rate": 2.4456521739130436e-05,
|
1219 |
+
"loss": 0.3703,
|
1220 |
"step": 1410
|
1221 |
},
|
1222 |
{
|
1223 |
"epoch": 1.5434782608695652,
|
1224 |
+
"grad_norm": 1.0333784818649292,
|
1225 |
"learning_rate": 2.427536231884058e-05,
|
1226 |
+
"loss": 0.3692,
|
1227 |
"step": 1420
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 1.5543478260869565,
|
1231 |
+
"grad_norm": 0.9682796597480774,
|
1232 |
"learning_rate": 2.4094202898550724e-05,
|
1233 |
+
"loss": 0.3722,
|
1234 |
"step": 1430
|
1235 |
},
|
1236 |
{
|
1237 |
"epoch": 1.5652173913043477,
|
1238 |
+
"grad_norm": 1.0484014749526978,
|
1239 |
"learning_rate": 2.391304347826087e-05,
|
1240 |
+
"loss": 0.3763,
|
1241 |
"step": 1440
|
1242 |
},
|
1243 |
{
|
1244 |
"epoch": 1.5760869565217392,
|
1245 |
+
"grad_norm": 0.9075008630752563,
|
1246 |
"learning_rate": 2.3731884057971015e-05,
|
1247 |
+
"loss": 0.3594,
|
1248 |
"step": 1450
|
1249 |
},
|
1250 |
{
|
1251 |
"epoch": 1.5760869565217392,
|
1252 |
+
"eval_loss": 0.5278663039207458,
|
1253 |
+
"eval_runtime": 10.831,
|
1254 |
+
"eval_samples_per_second": 44.317,
|
1255 |
+
"eval_steps_per_second": 2.77,
|
1256 |
"step": 1450
|
1257 |
},
|
1258 |
{
|
1259 |
"epoch": 1.5869565217391304,
|
1260 |
+
"grad_norm": 0.9710797667503357,
|
1261 |
"learning_rate": 2.355072463768116e-05,
|
1262 |
+
"loss": 0.3821,
|
1263 |
"step": 1460
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 1.5978260869565217,
|
1267 |
+
"grad_norm": 1.0220218896865845,
|
1268 |
"learning_rate": 2.3369565217391306e-05,
|
1269 |
+
"loss": 0.3623,
|
1270 |
"step": 1470
|
1271 |
},
|
1272 |
{
|
1273 |
"epoch": 1.608695652173913,
|
1274 |
+
"grad_norm": 1.0994117259979248,
|
1275 |
"learning_rate": 2.318840579710145e-05,
|
1276 |
+
"loss": 0.3735,
|
1277 |
"step": 1480
|
1278 |
},
|
1279 |
{
|
1280 |
"epoch": 1.6195652173913042,
|
1281 |
+
"grad_norm": 0.9513503313064575,
|
1282 |
"learning_rate": 2.3007246376811593e-05,
|
1283 |
+
"loss": 0.3743,
|
1284 |
"step": 1490
|
1285 |
},
|
1286 |
{
|
1287 |
"epoch": 1.6304347826086958,
|
1288 |
+
"grad_norm": 0.9903764128684998,
|
1289 |
"learning_rate": 2.282608695652174e-05,
|
1290 |
+
"loss": 0.3661,
|
1291 |
"step": 1500
|
1292 |
},
|
1293 |
{
|
1294 |
"epoch": 1.6304347826086958,
|
1295 |
+
"eval_loss": 0.5267059803009033,
|
1296 |
+
"eval_runtime": 10.8461,
|
1297 |
+
"eval_samples_per_second": 44.256,
|
1298 |
+
"eval_steps_per_second": 2.766,
|
1299 |
"step": 1500
|
1300 |
},
|
1301 |
{
|
1302 |
"epoch": 1.641304347826087,
|
1303 |
+
"grad_norm": 0.9712284207344055,
|
1304 |
"learning_rate": 2.2644927536231884e-05,
|
1305 |
+
"loss": 0.3662,
|
1306 |
"step": 1510
|
1307 |
},
|
1308 |
{
|
1309 |
"epoch": 1.6521739130434783,
|
1310 |
+
"grad_norm": 0.9667128920555115,
|
1311 |
"learning_rate": 2.246376811594203e-05,
|
1312 |
+
"loss": 0.3767,
|
1313 |
"step": 1520
|
1314 |
},
|
1315 |
{
|
1316 |
"epoch": 1.6630434782608696,
|
1317 |
+
"grad_norm": 0.9828950762748718,
|
1318 |
"learning_rate": 2.2282608695652175e-05,
|
1319 |
+
"loss": 0.3766,
|
1320 |
"step": 1530
|
1321 |
},
|
1322 |
{
|
1323 |
"epoch": 1.6739130434782608,
|
1324 |
+
"grad_norm": 1.0777678489685059,
|
1325 |
"learning_rate": 2.2101449275362323e-05,
|
1326 |
+
"loss": 0.3791,
|
1327 |
"step": 1540
|
1328 |
},
|
1329 |
{
|
1330 |
"epoch": 1.6847826086956523,
|
1331 |
+
"grad_norm": 1.006035566329956,
|
1332 |
"learning_rate": 2.1920289855072466e-05,
|
1333 |
+
"loss": 0.3961,
|
1334 |
"step": 1550
|
1335 |
},
|
1336 |
{
|
1337 |
"epoch": 1.6847826086956523,
|
1338 |
+
"eval_loss": 0.5241792798042297,
|
1339 |
+
"eval_runtime": 10.8288,
|
1340 |
+
"eval_samples_per_second": 44.326,
|
1341 |
+
"eval_steps_per_second": 2.77,
|
1342 |
"step": 1550
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 1.6956521739130435,
|
1346 |
+
"grad_norm": 0.9397144913673401,
|
1347 |
"learning_rate": 2.173913043478261e-05,
|
1348 |
+
"loss": 0.3659,
|
1349 |
"step": 1560
|
1350 |
},
|
1351 |
{
|
1352 |
"epoch": 1.7065217391304348,
|
1353 |
+
"grad_norm": 1.1106013059616089,
|
1354 |
"learning_rate": 2.1557971014492757e-05,
|
1355 |
+
"loss": 0.381,
|
1356 |
"step": 1570
|
1357 |
},
|
1358 |
{
|
1359 |
"epoch": 1.7173913043478262,
|
1360 |
+
"grad_norm": 0.9626741409301758,
|
1361 |
"learning_rate": 2.13768115942029e-05,
|
1362 |
+
"loss": 0.3751,
|
1363 |
"step": 1580
|
1364 |
},
|
1365 |
{
|
1366 |
"epoch": 1.7282608695652173,
|
1367 |
+
"grad_norm": 1.139076828956604,
|
1368 |
"learning_rate": 2.1195652173913045e-05,
|
1369 |
+
"loss": 0.3888,
|
1370 |
"step": 1590
|
1371 |
},
|
1372 |
{
|
1373 |
"epoch": 1.7391304347826086,
|
1374 |
+
"grad_norm": 1.0335912704467773,
|
1375 |
"learning_rate": 2.101449275362319e-05,
|
1376 |
+
"loss": 0.3758,
|
1377 |
"step": 1600
|
1378 |
},
|
1379 |
{
|
1380 |
"epoch": 1.7391304347826086,
|
1381 |
+
"eval_loss": 0.5224525332450867,
|
1382 |
+
"eval_runtime": 10.8033,
|
1383 |
+
"eval_samples_per_second": 44.431,
|
1384 |
+
"eval_steps_per_second": 2.777,
|
1385 |
"step": 1600
|
1386 |
},
|
1387 |
{
|
1388 |
"epoch": 1.75,
|
1389 |
+
"grad_norm": 1.0831104516983032,
|
1390 |
"learning_rate": 2.0833333333333336e-05,
|
1391 |
+
"loss": 0.3429,
|
1392 |
"step": 1610
|
1393 |
},
|
1394 |
{
|
1395 |
"epoch": 1.7608695652173914,
|
1396 |
+
"grad_norm": 1.0405676364898682,
|
1397 |
"learning_rate": 2.065217391304348e-05,
|
1398 |
+
"loss": 0.3506,
|
1399 |
"step": 1620
|
1400 |
},
|
1401 |
{
|
1402 |
"epoch": 1.7717391304347827,
|
1403 |
+
"grad_norm": 0.9948307275772095,
|
1404 |
"learning_rate": 2.0471014492753624e-05,
|
1405 |
+
"loss": 0.3528,
|
1406 |
"step": 1630
|
1407 |
},
|
1408 |
{
|
1409 |
"epoch": 1.7826086956521738,
|
1410 |
+
"grad_norm": 1.103110671043396,
|
1411 |
"learning_rate": 2.028985507246377e-05,
|
1412 |
+
"loss": 0.3779,
|
1413 |
"step": 1640
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 1.7934782608695652,
|
1417 |
+
"grad_norm": 1.0501149892807007,
|
1418 |
"learning_rate": 2.0108695652173915e-05,
|
1419 |
+
"loss": 0.3957,
|
1420 |
"step": 1650
|
1421 |
},
|
1422 |
{
|
1423 |
"epoch": 1.7934782608695652,
|
1424 |
+
"eval_loss": 0.5198243260383606,
|
1425 |
+
"eval_runtime": 10.7809,
|
1426 |
+
"eval_samples_per_second": 44.523,
|
1427 |
+
"eval_steps_per_second": 2.783,
|
1428 |
"step": 1650
|
1429 |
},
|
1430 |
{
|
1431 |
"epoch": 1.8043478260869565,
|
1432 |
+
"grad_norm": 1.0968273878097534,
|
1433 |
"learning_rate": 1.992753623188406e-05,
|
1434 |
+
"loss": 0.3746,
|
1435 |
"step": 1660
|
1436 |
},
|
1437 |
{
|
1438 |
"epoch": 1.8152173913043477,
|
1439 |
+
"grad_norm": 1.0902262926101685,
|
1440 |
"learning_rate": 1.9746376811594202e-05,
|
1441 |
+
"loss": 0.3688,
|
1442 |
"step": 1670
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 1.8260869565217392,
|
1446 |
+
"grad_norm": 1.1077326536178589,
|
1447 |
"learning_rate": 1.956521739130435e-05,
|
1448 |
+
"loss": 0.3274,
|
1449 |
"step": 1680
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 1.8369565217391304,
|
1453 |
+
"grad_norm": 1.005223035812378,
|
1454 |
"learning_rate": 1.9384057971014493e-05,
|
1455 |
+
"loss": 0.3858,
|
1456 |
"step": 1690
|
1457 |
},
|
1458 |
{
|
1459 |
"epoch": 1.8478260869565217,
|
1460 |
+
"grad_norm": 1.131982445716858,
|
1461 |
"learning_rate": 1.9202898550724637e-05,
|
1462 |
+
"loss": 0.3676,
|
1463 |
"step": 1700
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 1.8478260869565217,
|
1467 |
+
"eval_loss": 0.5192354321479797,
|
1468 |
+
"eval_runtime": 10.7892,
|
1469 |
+
"eval_samples_per_second": 44.489,
|
1470 |
+
"eval_steps_per_second": 2.781,
|
1471 |
"step": 1700
|
1472 |
},
|
1473 |
{
|
1474 |
"epoch": 1.858695652173913,
|
1475 |
+
"grad_norm": 1.0396854877471924,
|
1476 |
"learning_rate": 1.9021739130434784e-05,
|
1477 |
+
"loss": 0.3738,
|
1478 |
"step": 1710
|
1479 |
},
|
1480 |
{
|
1481 |
"epoch": 1.8695652173913042,
|
1482 |
+
"grad_norm": 1.1090553998947144,
|
1483 |
"learning_rate": 1.8840579710144928e-05,
|
1484 |
+
"loss": 0.3695,
|
1485 |
"step": 1720
|
1486 |
},
|
1487 |
{
|
1488 |
"epoch": 1.8804347826086958,
|
1489 |
+
"grad_norm": 1.081115484237671,
|
1490 |
"learning_rate": 1.8659420289855072e-05,
|
1491 |
+
"loss": 0.3549,
|
1492 |
"step": 1730
|
1493 |
},
|
1494 |
{
|
1495 |
"epoch": 1.891304347826087,
|
1496 |
+
"grad_norm": 1.1276469230651855,
|
1497 |
"learning_rate": 1.8478260869565216e-05,
|
1498 |
+
"loss": 0.364,
|
1499 |
"step": 1740
|
1500 |
},
|
1501 |
{
|
1502 |
"epoch": 1.9021739130434783,
|
1503 |
+
"grad_norm": 1.0103682279586792,
|
1504 |
"learning_rate": 1.8297101449275363e-05,
|
1505 |
+
"loss": 0.3781,
|
1506 |
"step": 1750
|
1507 |
},
|
1508 |
{
|
1509 |
"epoch": 1.9021739130434783,
|
1510 |
+
"eval_loss": 0.5211134552955627,
|
1511 |
+
"eval_runtime": 10.7922,
|
1512 |
+
"eval_samples_per_second": 44.477,
|
1513 |
+
"eval_steps_per_second": 2.78,
|
1514 |
"step": 1750
|
1515 |
},
|
1516 |
{
|
1517 |
"epoch": 1.9130434782608696,
|
1518 |
+
"grad_norm": 0.9383260011672974,
|
1519 |
"learning_rate": 1.8115942028985507e-05,
|
1520 |
+
"loss": 0.3469,
|
1521 |
"step": 1760
|
1522 |
},
|
1523 |
{
|
1524 |
"epoch": 1.9239130434782608,
|
1525 |
+
"grad_norm": 1.095609188079834,
|
1526 |
"learning_rate": 1.793478260869565e-05,
|
1527 |
+
"loss": 0.3747,
|
1528 |
"step": 1770
|
1529 |
},
|
1530 |
{
|
1531 |
"epoch": 1.9347826086956523,
|
1532 |
+
"grad_norm": 1.0580706596374512,
|
1533 |
"learning_rate": 1.7753623188405798e-05,
|
1534 |
+
"loss": 0.3751,
|
1535 |
"step": 1780
|
1536 |
},
|
1537 |
{
|
1538 |
"epoch": 1.9456521739130435,
|
1539 |
+
"grad_norm": 0.9539552927017212,
|
1540 |
"learning_rate": 1.757246376811594e-05,
|
1541 |
+
"loss": 0.3638,
|
1542 |
"step": 1790
|
1543 |
},
|
1544 |
{
|
1545 |
"epoch": 1.9565217391304348,
|
1546 |
+
"grad_norm": 1.0025752782821655,
|
1547 |
"learning_rate": 1.739130434782609e-05,
|
1548 |
+
"loss": 0.3851,
|
1549 |
"step": 1800
|
1550 |
},
|
1551 |
{
|
1552 |
"epoch": 1.9565217391304348,
|
1553 |
+
"eval_loss": 0.516950249671936,
|
1554 |
+
"eval_runtime": 10.7904,
|
1555 |
+
"eval_samples_per_second": 44.484,
|
1556 |
+
"eval_steps_per_second": 2.78,
|
1557 |
"step": 1800
|
1558 |
},
|
1559 |
{
|
1560 |
"epoch": 1.9673913043478262,
|
1561 |
+
"grad_norm": 1.0852687358856201,
|
1562 |
"learning_rate": 1.7210144927536233e-05,
|
1563 |
+
"loss": 0.3472,
|
1564 |
"step": 1810
|
1565 |
},
|
1566 |
{
|
1567 |
"epoch": 1.9782608695652173,
|
1568 |
+
"grad_norm": 1.1232205629348755,
|
1569 |
"learning_rate": 1.702898550724638e-05,
|
1570 |
+
"loss": 0.3591,
|
1571 |
"step": 1820
|
1572 |
},
|
1573 |
{
|
1574 |
"epoch": 1.9891304347826086,
|
1575 |
+
"grad_norm": 1.0539883375167847,
|
1576 |
"learning_rate": 1.6847826086956524e-05,
|
1577 |
+
"loss": 0.3657,
|
1578 |
"step": 1830
|
1579 |
},
|
1580 |
{
|
1581 |
"epoch": 2.0,
|
1582 |
+
"grad_norm": 2.387427806854248,
|
1583 |
"learning_rate": 1.6666666666666667e-05,
|
1584 |
+
"loss": 0.393,
|
1585 |
"step": 1840
|
1586 |
},
|
1587 |
{
|
1588 |
"epoch": 2.010869565217391,
|
1589 |
+
"grad_norm": 1.0311148166656494,
|
1590 |
"learning_rate": 1.6485507246376815e-05,
|
1591 |
+
"loss": 0.3364,
|
1592 |
"step": 1850
|
1593 |
},
|
1594 |
{
|
1595 |
"epoch": 2.010869565217391,
|
1596 |
+
"eval_loss": 0.5237263441085815,
|
1597 |
+
"eval_runtime": 10.8116,
|
1598 |
+
"eval_samples_per_second": 44.397,
|
1599 |
+
"eval_steps_per_second": 2.775,
|
1600 |
"step": 1850
|
1601 |
},
|
1602 |
{
|
1603 |
"epoch": 2.0217391304347827,
|
1604 |
+
"grad_norm": 1.2049050331115723,
|
1605 |
"learning_rate": 1.630434782608696e-05,
|
1606 |
+
"loss": 0.336,
|
1607 |
"step": 1860
|
1608 |
},
|
1609 |
{
|
1610 |
"epoch": 2.032608695652174,
|
1611 |
+
"grad_norm": 1.0490036010742188,
|
1612 |
"learning_rate": 1.6123188405797102e-05,
|
1613 |
+
"loss": 0.3243,
|
1614 |
"step": 1870
|
1615 |
},
|
1616 |
{
|
1617 |
"epoch": 2.0434782608695654,
|
1618 |
+
"grad_norm": 1.131861686706543,
|
1619 |
"learning_rate": 1.5942028985507246e-05,
|
1620 |
+
"loss": 0.3311,
|
1621 |
"step": 1880
|
1622 |
},
|
1623 |
{
|
1624 |
"epoch": 2.0543478260869565,
|
1625 |
+
"grad_norm": 1.0843744277954102,
|
1626 |
"learning_rate": 1.5760869565217393e-05,
|
1627 |
+
"loss": 0.3107,
|
1628 |
"step": 1890
|
1629 |
},
|
1630 |
{
|
1631 |
"epoch": 2.0652173913043477,
|
1632 |
+
"grad_norm": 1.1070170402526855,
|
1633 |
"learning_rate": 1.5579710144927537e-05,
|
1634 |
+
"loss": 0.3357,
|
1635 |
"step": 1900
|
1636 |
},
|
1637 |
{
|
1638 |
"epoch": 2.0652173913043477,
|
1639 |
+
"eval_loss": 0.5324747562408447,
|
1640 |
+
"eval_runtime": 10.8165,
|
1641 |
+
"eval_samples_per_second": 44.377,
|
1642 |
+
"eval_steps_per_second": 2.774,
|
1643 |
"step": 1900
|
1644 |
},
|
1645 |
{
|
1646 |
"epoch": 2.0760869565217392,
|
1647 |
+
"grad_norm": 1.1747304201126099,
|
1648 |
"learning_rate": 1.539855072463768e-05,
|
1649 |
+
"loss": 0.3301,
|
1650 |
"step": 1910
|
1651 |
},
|
1652 |
{
|
1653 |
"epoch": 2.0869565217391304,
|
1654 |
+
"grad_norm": 1.151397943496704,
|
1655 |
"learning_rate": 1.5217391304347828e-05,
|
1656 |
+
"loss": 0.3313,
|
1657 |
"step": 1920
|
1658 |
},
|
1659 |
{
|
1660 |
"epoch": 2.097826086956522,
|
1661 |
+
"grad_norm": 1.1628749370574951,
|
1662 |
"learning_rate": 1.5036231884057972e-05,
|
1663 |
+
"loss": 0.322,
|
1664 |
"step": 1930
|
1665 |
},
|
1666 |
{
|
1667 |
"epoch": 2.108695652173913,
|
1668 |
+
"grad_norm": 1.1999317407608032,
|
1669 |
"learning_rate": 1.4855072463768116e-05,
|
1670 |
+
"loss": 0.3174,
|
1671 |
"step": 1940
|
1672 |
},
|
1673 |
{
|
1674 |
"epoch": 2.119565217391304,
|
1675 |
+
"grad_norm": 1.1956512928009033,
|
1676 |
"learning_rate": 1.4673913043478263e-05,
|
1677 |
+
"loss": 0.3281,
|
1678 |
"step": 1950
|
1679 |
},
|
1680 |
{
|
1681 |
"epoch": 2.119565217391304,
|
1682 |
+
"eval_loss": 0.5320965647697449,
|
1683 |
+
"eval_runtime": 10.8261,
|
1684 |
+
"eval_samples_per_second": 44.337,
|
1685 |
+
"eval_steps_per_second": 2.771,
|
1686 |
"step": 1950
|
1687 |
},
|
1688 |
{
|
1689 |
"epoch": 2.130434782608696,
|
1690 |
+
"grad_norm": 1.0482760667800903,
|
1691 |
"learning_rate": 1.4492753623188407e-05,
|
1692 |
+
"loss": 0.3193,
|
1693 |
"step": 1960
|
1694 |
},
|
1695 |
{
|
1696 |
"epoch": 2.141304347826087,
|
1697 |
+
"grad_norm": 1.72954261302948,
|
1698 |
"learning_rate": 1.431159420289855e-05,
|
1699 |
+
"loss": 0.3418,
|
1700 |
"step": 1970
|
1701 |
},
|
1702 |
{
|
1703 |
"epoch": 2.1521739130434785,
|
1704 |
+
"grad_norm": 1.2846759557724,
|
1705 |
"learning_rate": 1.4130434782608694e-05,
|
1706 |
+
"loss": 0.3274,
|
1707 |
"step": 1980
|
1708 |
},
|
1709 |
{
|
1710 |
"epoch": 2.1630434782608696,
|
1711 |
+
"grad_norm": 1.2016099691390991,
|
1712 |
"learning_rate": 1.3949275362318842e-05,
|
1713 |
+
"loss": 0.3305,
|
1714 |
"step": 1990
|
1715 |
},
|
1716 |
{
|
1717 |
"epoch": 2.1739130434782608,
|
1718 |
+
"grad_norm": 1.1600474119186401,
|
1719 |
"learning_rate": 1.3768115942028985e-05,
|
1720 |
+
"loss": 0.3424,
|
1721 |
"step": 2000
|
1722 |
},
|
1723 |
{
|
1724 |
"epoch": 2.1739130434782608,
|
1725 |
+
"eval_loss": 0.5298786163330078,
|
1726 |
+
"eval_runtime": 10.8329,
|
1727 |
+
"eval_samples_per_second": 44.31,
|
1728 |
+
"eval_steps_per_second": 2.769,
|
1729 |
"step": 2000
|
1730 |
},
|
1731 |
{
|
1732 |
"epoch": 2.1847826086956523,
|
1733 |
+
"grad_norm": 1.2170861959457397,
|
1734 |
"learning_rate": 1.3586956521739131e-05,
|
1735 |
+
"loss": 0.3024,
|
1736 |
"step": 2010
|
1737 |
},
|
1738 |
{
|
1739 |
"epoch": 2.1956521739130435,
|
1740 |
+
"grad_norm": 1.1393592357635498,
|
1741 |
"learning_rate": 1.3405797101449276e-05,
|
1742 |
+
"loss": 0.3211,
|
1743 |
"step": 2020
|
1744 |
},
|
1745 |
{
|
1746 |
"epoch": 2.2065217391304346,
|
1747 |
+
"grad_norm": 1.1940656900405884,
|
1748 |
"learning_rate": 1.3224637681159422e-05,
|
1749 |
+
"loss": 0.3157,
|
1750 |
"step": 2030
|
1751 |
},
|
1752 |
{
|
1753 |
"epoch": 2.217391304347826,
|
1754 |
+
"grad_norm": 1.2777471542358398,
|
1755 |
"learning_rate": 1.3043478260869566e-05,
|
1756 |
+
"loss": 0.3382,
|
1757 |
"step": 2040
|
1758 |
},
|
1759 |
{
|
1760 |
"epoch": 2.2282608695652173,
|
1761 |
+
"grad_norm": 1.1014587879180908,
|
1762 |
"learning_rate": 1.286231884057971e-05,
|
1763 |
+
"loss": 0.3198,
|
1764 |
"step": 2050
|
1765 |
},
|
1766 |
{
|
1767 |
"epoch": 2.2282608695652173,
|
1768 |
+
"eval_loss": 0.5298696160316467,
|
1769 |
+
"eval_runtime": 10.844,
|
1770 |
+
"eval_samples_per_second": 44.264,
|
1771 |
+
"eval_steps_per_second": 2.767,
|
1772 |
"step": 2050
|
1773 |
},
|
1774 |
{
|
1775 |
"epoch": 2.239130434782609,
|
1776 |
+
"grad_norm": 1.056643009185791,
|
1777 |
"learning_rate": 1.2681159420289857e-05,
|
1778 |
+
"loss": 0.317,
|
1779 |
"step": 2060
|
1780 |
},
|
1781 |
{
|
1782 |
"epoch": 2.25,
|
1783 |
+
"grad_norm": 1.1301910877227783,
|
1784 |
"learning_rate": 1.25e-05,
|
1785 |
+
"loss": 0.3266,
|
1786 |
"step": 2070
|
1787 |
},
|
1788 |
{
|
1789 |
"epoch": 2.260869565217391,
|
1790 |
+
"grad_norm": 1.2433290481567383,
|
1791 |
"learning_rate": 1.2318840579710146e-05,
|
1792 |
+
"loss": 0.3313,
|
1793 |
"step": 2080
|
1794 |
},
|
1795 |
{
|
1796 |
"epoch": 2.2717391304347827,
|
1797 |
+
"grad_norm": 1.2331655025482178,
|
1798 |
"learning_rate": 1.213768115942029e-05,
|
1799 |
+
"loss": 0.3353,
|
1800 |
"step": 2090
|
1801 |
},
|
1802 |
{
|
1803 |
"epoch": 2.282608695652174,
|
1804 |
+
"grad_norm": 1.2137727737426758,
|
1805 |
"learning_rate": 1.1956521739130435e-05,
|
1806 |
+
"loss": 0.3183,
|
1807 |
"step": 2100
|
1808 |
},
|
1809 |
{
|
1810 |
"epoch": 2.282608695652174,
|
1811 |
+
"eval_loss": 0.5301353335380554,
|
1812 |
+
"eval_runtime": 10.829,
|
1813 |
+
"eval_samples_per_second": 44.326,
|
1814 |
+
"eval_steps_per_second": 2.77,
|
1815 |
"step": 2100
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 2.2934782608695654,
|
1819 |
+
"grad_norm": 1.0960383415222168,
|
1820 |
"learning_rate": 1.177536231884058e-05,
|
1821 |
+
"loss": 0.3083,
|
1822 |
"step": 2110
|
1823 |
},
|
1824 |
{
|
1825 |
"epoch": 2.3043478260869565,
|
1826 |
+
"grad_norm": 1.2978132963180542,
|
1827 |
"learning_rate": 1.1594202898550725e-05,
|
1828 |
+
"loss": 0.3218,
|
1829 |
"step": 2120
|
1830 |
},
|
1831 |
{
|
1832 |
"epoch": 2.3152173913043477,
|
1833 |
+
"grad_norm": 1.1214746236801147,
|
1834 |
"learning_rate": 1.141304347826087e-05,
|
1835 |
+
"loss": 0.3334,
|
1836 |
"step": 2130
|
1837 |
},
|
1838 |
{
|
1839 |
"epoch": 2.3260869565217392,
|
1840 |
+
"grad_norm": 1.2013393640518188,
|
1841 |
"learning_rate": 1.1231884057971016e-05,
|
1842 |
+
"loss": 0.3017,
|
1843 |
"step": 2140
|
1844 |
},
|
1845 |
{
|
1846 |
"epoch": 2.3369565217391304,
|
1847 |
+
"grad_norm": 1.2782713174819946,
|
1848 |
"learning_rate": 1.1050724637681161e-05,
|
1849 |
+
"loss": 0.3272,
|
1850 |
"step": 2150
|
1851 |
},
|
1852 |
{
|
1853 |
"epoch": 2.3369565217391304,
|
1854 |
+
"eval_loss": 0.5313724279403687,
|
1855 |
+
"eval_runtime": 10.8265,
|
1856 |
+
"eval_samples_per_second": 44.336,
|
1857 |
+
"eval_steps_per_second": 2.771,
|
1858 |
"step": 2150
|
1859 |
},
|
1860 |
{
|
1861 |
"epoch": 2.3478260869565215,
|
1862 |
+
"grad_norm": 1.1971640586853027,
|
1863 |
"learning_rate": 1.0869565217391305e-05,
|
1864 |
+
"loss": 0.3295,
|
1865 |
"step": 2160
|
1866 |
},
|
1867 |
{
|
1868 |
"epoch": 2.358695652173913,
|
1869 |
+
"grad_norm": 1.1936053037643433,
|
1870 |
"learning_rate": 1.068840579710145e-05,
|
1871 |
+
"loss": 0.3132,
|
1872 |
"step": 2170
|
1873 |
},
|
1874 |
{
|
1875 |
"epoch": 2.369565217391304,
|
1876 |
+
"grad_norm": 1.0900537967681885,
|
1877 |
"learning_rate": 1.0507246376811594e-05,
|
1878 |
+
"loss": 0.3212,
|
1879 |
"step": 2180
|
1880 |
},
|
1881 |
{
|
1882 |
"epoch": 2.380434782608696,
|
1883 |
+
"grad_norm": 1.4006975889205933,
|
1884 |
"learning_rate": 1.032608695652174e-05,
|
1885 |
+
"loss": 0.3258,
|
1886 |
"step": 2190
|
1887 |
},
|
1888 |
{
|
1889 |
"epoch": 2.391304347826087,
|
1890 |
+
"grad_norm": 1.3683350086212158,
|
1891 |
"learning_rate": 1.0144927536231885e-05,
|
1892 |
+
"loss": 0.3376,
|
1893 |
"step": 2200
|
1894 |
},
|
1895 |
{
|
1896 |
"epoch": 2.391304347826087,
|
1897 |
+
"eval_loss": 0.5328701734542847,
|
1898 |
+
"eval_runtime": 10.8097,
|
1899 |
+
"eval_samples_per_second": 44.404,
|
1900 |
+
"eval_steps_per_second": 2.775,
|
1901 |
"step": 2200
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 2.4021739130434785,
|
1905 |
+
"grad_norm": 1.120539903640747,
|
1906 |
"learning_rate": 9.96376811594203e-06,
|
1907 |
+
"loss": 0.3132,
|
1908 |
"step": 2210
|
1909 |
},
|
1910 |
{
|
1911 |
"epoch": 2.4130434782608696,
|
1912 |
+
"grad_norm": 1.1731290817260742,
|
1913 |
"learning_rate": 9.782608695652175e-06,
|
1914 |
+
"loss": 0.329,
|
1915 |
"step": 2220
|
1916 |
},
|
1917 |
{
|
1918 |
"epoch": 2.4239130434782608,
|
1919 |
+
"grad_norm": 1.2622851133346558,
|
1920 |
"learning_rate": 9.601449275362319e-06,
|
1921 |
+
"loss": 0.3181,
|
1922 |
"step": 2230
|
1923 |
},
|
1924 |
{
|
1925 |
"epoch": 2.4347826086956523,
|
1926 |
+
"grad_norm": 1.2982534170150757,
|
1927 |
"learning_rate": 9.420289855072464e-06,
|
1928 |
+
"loss": 0.3177,
|
1929 |
"step": 2240
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 2.4456521739130435,
|
1933 |
+
"grad_norm": 1.2450315952301025,
|
1934 |
"learning_rate": 9.239130434782608e-06,
|
1935 |
+
"loss": 0.3361,
|
1936 |
"step": 2250
|
1937 |
},
|
1938 |
{
|
1939 |
"epoch": 2.4456521739130435,
|
1940 |
+
"eval_loss": 0.5312691330909729,
|
1941 |
+
"eval_runtime": 10.7859,
|
1942 |
+
"eval_samples_per_second": 44.502,
|
1943 |
+
"eval_steps_per_second": 2.781,
|
1944 |
"step": 2250
|
1945 |
},
|
1946 |
{
|
1947 |
"epoch": 2.4565217391304346,
|
1948 |
+
"grad_norm": 1.2270658016204834,
|
1949 |
"learning_rate": 9.057971014492753e-06,
|
1950 |
+
"loss": 0.3392,
|
1951 |
"step": 2260
|
1952 |
},
|
1953 |
{
|
1954 |
"epoch": 2.467391304347826,
|
1955 |
+
"grad_norm": 1.313056468963623,
|
1956 |
"learning_rate": 8.876811594202899e-06,
|
1957 |
+
"loss": 0.3065,
|
1958 |
"step": 2270
|
1959 |
},
|
1960 |
{
|
1961 |
"epoch": 2.4782608695652173,
|
1962 |
+
"grad_norm": 1.255582332611084,
|
1963 |
"learning_rate": 8.695652173913044e-06,
|
1964 |
+
"loss": 0.3224,
|
1965 |
"step": 2280
|
1966 |
},
|
1967 |
{
|
1968 |
"epoch": 2.489130434782609,
|
1969 |
+
"grad_norm": 1.354356050491333,
|
1970 |
"learning_rate": 8.51449275362319e-06,
|
1971 |
+
"loss": 0.3307,
|
1972 |
"step": 2290
|
1973 |
},
|
1974 |
{
|
1975 |
"epoch": 2.5,
|
1976 |
+
"grad_norm": 1.2218225002288818,
|
1977 |
"learning_rate": 8.333333333333334e-06,
|
1978 |
+
"loss": 0.3146,
|
1979 |
"step": 2300
|
1980 |
},
|
1981 |
{
|
1982 |
"epoch": 2.5,
|
1983 |
+
"eval_loss": 0.5301942825317383,
|
1984 |
+
"eval_runtime": 10.778,
|
1985 |
+
"eval_samples_per_second": 44.535,
|
1986 |
+
"eval_steps_per_second": 2.783,
|
1987 |
"step": 2300
|
1988 |
},
|
1989 |
{
|
1990 |
"epoch": 2.5108695652173916,
|
1991 |
+
"grad_norm": 1.2889074087142944,
|
1992 |
"learning_rate": 8.15217391304348e-06,
|
1993 |
+
"loss": 0.3135,
|
1994 |
"step": 2310
|
1995 |
},
|
1996 |
{
|
1997 |
"epoch": 2.5217391304347827,
|
1998 |
+
"grad_norm": 1.1224515438079834,
|
1999 |
"learning_rate": 7.971014492753623e-06,
|
2000 |
+
"loss": 0.3227,
|
2001 |
"step": 2320
|
2002 |
},
|
2003 |
{
|
2004 |
"epoch": 2.532608695652174,
|
2005 |
+
"grad_norm": 1.1914352178573608,
|
2006 |
"learning_rate": 7.789855072463769e-06,
|
2007 |
+
"loss": 0.3138,
|
2008 |
"step": 2330
|
2009 |
},
|
2010 |
{
|
2011 |
"epoch": 2.5434782608695654,
|
2012 |
+
"grad_norm": 1.3238486051559448,
|
2013 |
"learning_rate": 7.608695652173914e-06,
|
2014 |
+
"loss": 0.3168,
|
2015 |
"step": 2340
|
2016 |
},
|
2017 |
{
|
2018 |
"epoch": 2.5543478260869565,
|
2019 |
+
"grad_norm": 1.3031419515609741,
|
2020 |
"learning_rate": 7.427536231884058e-06,
|
2021 |
+
"loss": 0.3253,
|
2022 |
"step": 2350
|
2023 |
},
|
2024 |
{
|
2025 |
"epoch": 2.5543478260869565,
|
2026 |
+
"eval_loss": 0.5280157327651978,
|
2027 |
+
"eval_runtime": 10.8003,
|
2028 |
+
"eval_samples_per_second": 44.443,
|
2029 |
+
"eval_steps_per_second": 2.778,
|
2030 |
"step": 2350
|
2031 |
},
|
2032 |
{
|
2033 |
"epoch": 2.5652173913043477,
|
2034 |
+
"grad_norm": 1.2570607662200928,
|
2035 |
"learning_rate": 7.246376811594203e-06,
|
2036 |
+
"loss": 0.3246,
|
2037 |
"step": 2360
|
2038 |
},
|
2039 |
{
|
2040 |
"epoch": 2.5760869565217392,
|
2041 |
+
"grad_norm": 1.1971008777618408,
|
2042 |
"learning_rate": 7.065217391304347e-06,
|
2043 |
+
"loss": 0.3142,
|
2044 |
"step": 2370
|
2045 |
},
|
2046 |
{
|
2047 |
"epoch": 2.5869565217391304,
|
2048 |
+
"grad_norm": 1.2740592956542969,
|
2049 |
"learning_rate": 6.884057971014493e-06,
|
2050 |
+
"loss": 0.3263,
|
2051 |
"step": 2380
|
2052 |
},
|
2053 |
{
|
2054 |
"epoch": 2.5978260869565215,
|
2055 |
+
"grad_norm": 1.3141279220581055,
|
2056 |
"learning_rate": 6.702898550724638e-06,
|
2057 |
+
"loss": 0.3141,
|
2058 |
"step": 2390
|
2059 |
},
|
2060 |
{
|
2061 |
"epoch": 2.608695652173913,
|
2062 |
+
"grad_norm": 1.3131691217422485,
|
2063 |
"learning_rate": 6.521739130434783e-06,
|
2064 |
+
"loss": 0.3204,
|
2065 |
"step": 2400
|
2066 |
},
|
2067 |
{
|
2068 |
"epoch": 2.608695652173913,
|
2069 |
+
"eval_loss": 0.529800295829773,
|
2070 |
+
"eval_runtime": 10.7985,
|
2071 |
+
"eval_samples_per_second": 44.451,
|
2072 |
+
"eval_steps_per_second": 2.778,
|
2073 |
"step": 2400
|
2074 |
}
|
2075 |
],
|
|
|
2090 |
"attributes": {}
|
2091 |
}
|
2092 |
},
|
2093 |
+
"total_flos": 2.1143048047312896e+17,
|
2094 |
"train_batch_size": 16,
|
2095 |
"trial_name": null,
|
2096 |
"trial_params": null
|
checkpoint-2400/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5816
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:81786d634f359bee447d9c2dad023b92502900c87e9208470ed326b1204c5b1a
|
3 |
size 5816
|