Upload fine-tuned Llama model for order analysis
Browse files- README.md +1 -1
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- trainer_state.json +140 -140
- training_args.bin +1 -1
README.md
CHANGED
@@ -199,4 +199,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
199 |
[More Information Needed]
|
200 |
### Framework versions
|
201 |
|
202 |
-
- PEFT 0.
|
|
|
199 |
[More Information Needed]
|
200 |
### Framework versions
|
201 |
|
202 |
+
- PEFT 0.13.2
|
adapter_config.json
CHANGED
@@ -20,13 +20,13 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
|
|
23 |
"q_proj",
|
24 |
"o_proj",
|
25 |
-
"down_proj",
|
26 |
-
"up_proj",
|
27 |
"v_proj",
|
28 |
-
"
|
29 |
-
"k_proj"
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
"q_proj",
|
25 |
"o_proj",
|
|
|
|
|
26 |
"v_proj",
|
27 |
+
"up_proj",
|
28 |
+
"k_proj",
|
29 |
+
"down_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 22573704
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1fd16f2186e694fe6230262c312e61c10a3d7f9e03f38474b129ae0681d1da30
|
3 |
size 22573704
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 45276986
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:efdb0ee0bd918e11c0e37a9a99a18cbed253d9301bb54c58dcf8b9443eb5bd63
|
3 |
size 45276986
|
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:e9182312abdf3f5166a5d65d247c9bb66837869cb2d0f153f14a68891be22ee4
|
3 |
size 14244
|
trainer_state.json
CHANGED
@@ -10,492 +10,492 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.014285714285714285,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 1.4285714285714285e-05,
|
15 |
-
"loss": 2.
|
16 |
"step": 20
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.02857142857142857,
|
20 |
-
"grad_norm": 1.
|
21 |
"learning_rate": 2.857142857142857e-05,
|
22 |
-
"loss": 2.
|
23 |
"step": 40
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.04285714285714286,
|
27 |
-
"grad_norm": 1.
|
28 |
"learning_rate": 4.2857142857142856e-05,
|
29 |
-
"loss": 1.
|
30 |
"step": 60
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.05714285714285714,
|
34 |
-
"grad_norm": 1.
|
35 |
"learning_rate": 5.714285714285714e-05,
|
36 |
-
"loss": 1.
|
37 |
"step": 80
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.07142857142857142,
|
41 |
-
"grad_norm": 1.
|
42 |
"learning_rate": 7.142857142857143e-05,
|
43 |
-
"loss": 1.
|
44 |
"step": 100
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.08571428571428572,
|
48 |
-
"grad_norm": 1.
|
49 |
"learning_rate": 8.571428571428571e-05,
|
50 |
-
"loss": 0.
|
51 |
"step": 120
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.1,
|
55 |
-
"grad_norm": 1.
|
56 |
"learning_rate": 0.0001,
|
57 |
-
"loss": 0.
|
58 |
"step": 140
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.11428571428571428,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 9.841269841269841e-05,
|
64 |
-
"loss": 0.
|
65 |
"step": 160
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.12857142857142856,
|
69 |
-
"grad_norm": 1.
|
70 |
"learning_rate": 9.682539682539682e-05,
|
71 |
-
"loss": 0.
|
72 |
"step": 180
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.14285714285714285,
|
76 |
-
"grad_norm": 1.
|
77 |
"learning_rate": 9.523809523809524e-05,
|
78 |
-
"loss": 0.
|
79 |
"step": 200
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.15714285714285714,
|
83 |
-
"grad_norm": 1.
|
84 |
"learning_rate": 9.365079365079366e-05,
|
85 |
-
"loss": 0.
|
86 |
"step": 220
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.17142857142857143,
|
90 |
-
"grad_norm": 1.
|
91 |
"learning_rate": 9.206349206349206e-05,
|
92 |
-
"loss": 0.
|
93 |
"step": 240
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.18571428571428572,
|
97 |
-
"grad_norm": 1.
|
98 |
"learning_rate": 9.047619047619048e-05,
|
99 |
-
"loss": 0.
|
100 |
"step": 260
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.2,
|
104 |
-
"grad_norm": 1.
|
105 |
"learning_rate": 8.888888888888889e-05,
|
106 |
-
"loss": 0.
|
107 |
"step": 280
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.21428571428571427,
|
111 |
-
"grad_norm": 1.
|
112 |
"learning_rate": 8.730158730158731e-05,
|
113 |
-
"loss": 0.
|
114 |
"step": 300
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.22857142857142856,
|
118 |
-
"grad_norm": 1.
|
119 |
"learning_rate": 8.571428571428571e-05,
|
120 |
-
"loss": 0.
|
121 |
"step": 320
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.24285714285714285,
|
125 |
-
"grad_norm": 1.
|
126 |
"learning_rate": 8.412698412698413e-05,
|
127 |
-
"loss": 0.
|
128 |
"step": 340
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.2571428571428571,
|
132 |
-
"grad_norm": 1.
|
133 |
"learning_rate": 8.253968253968255e-05,
|
134 |
-
"loss": 0.
|
135 |
"step": 360
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.2714285714285714,
|
139 |
-
"grad_norm": 1.
|
140 |
"learning_rate": 8.095238095238096e-05,
|
141 |
-
"loss": 0.
|
142 |
"step": 380
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.2857142857142857,
|
146 |
-
"grad_norm": 1.
|
147 |
"learning_rate": 7.936507936507937e-05,
|
148 |
-
"loss": 0.
|
149 |
"step": 400
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.3,
|
153 |
-
"grad_norm": 1.
|
154 |
"learning_rate": 7.777777777777778e-05,
|
155 |
-
"loss": 0.
|
156 |
"step": 420
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.3142857142857143,
|
160 |
-
"grad_norm": 1.
|
161 |
"learning_rate": 7.619047619047618e-05,
|
162 |
-
"loss": 0.
|
163 |
"step": 440
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.32857142857142857,
|
167 |
-
"grad_norm": 1.
|
168 |
"learning_rate": 7.460317460317461e-05,
|
169 |
-
"loss": 0.
|
170 |
"step": 460
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.34285714285714286,
|
174 |
-
"grad_norm": 1.
|
175 |
"learning_rate": 7.301587301587302e-05,
|
176 |
-
"loss": 0.
|
177 |
"step": 480
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.35714285714285715,
|
181 |
-
"grad_norm": 1.
|
182 |
"learning_rate": 7.142857142857143e-05,
|
183 |
-
"loss": 0.
|
184 |
"step": 500
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.37142857142857144,
|
188 |
-
"grad_norm": 1.
|
189 |
"learning_rate": 6.984126984126984e-05,
|
190 |
-
"loss": 0.
|
191 |
"step": 520
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.38571428571428573,
|
195 |
-
"grad_norm": 1.
|
196 |
"learning_rate": 6.825396825396825e-05,
|
197 |
-
"loss": 0.
|
198 |
"step": 540
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.4,
|
202 |
-
"grad_norm": 1.
|
203 |
"learning_rate": 6.666666666666667e-05,
|
204 |
-
"loss": 0.
|
205 |
"step": 560
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.4142857142857143,
|
209 |
-
"grad_norm": 1.
|
210 |
"learning_rate": 6.507936507936509e-05,
|
211 |
-
"loss": 0.
|
212 |
"step": 580
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.42857142857142855,
|
216 |
-
"grad_norm": 1.
|
217 |
"learning_rate": 6.349206349206349e-05,
|
218 |
-
"loss": 0.
|
219 |
"step": 600
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.44285714285714284,
|
223 |
-
"grad_norm": 1.
|
224 |
"learning_rate": 6.19047619047619e-05,
|
225 |
-
"loss": 0.
|
226 |
"step": 620
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.45714285714285713,
|
230 |
-
"grad_norm": 1.
|
231 |
"learning_rate": 6.0317460317460316e-05,
|
232 |
-
"loss": 0.
|
233 |
"step": 640
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.4714285714285714,
|
237 |
-
"grad_norm": 1.
|
238 |
"learning_rate": 5.873015873015873e-05,
|
239 |
-
"loss": 0.
|
240 |
"step": 660
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.4857142857142857,
|
244 |
-
"grad_norm": 1.
|
245 |
"learning_rate": 5.714285714285714e-05,
|
246 |
-
"loss": 0.
|
247 |
"step": 680
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.5,
|
251 |
-
"grad_norm": 1.
|
252 |
"learning_rate": 5.555555555555556e-05,
|
253 |
-
"loss": 0.
|
254 |
"step": 700
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.5142857142857142,
|
258 |
-
"grad_norm": 1.
|
259 |
"learning_rate": 5.396825396825397e-05,
|
260 |
-
"loss": 0.
|
261 |
"step": 720
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.5285714285714286,
|
265 |
-
"grad_norm": 1.
|
266 |
"learning_rate": 5.2380952380952384e-05,
|
267 |
-
"loss": 0.
|
268 |
"step": 740
|
269 |
},
|
270 |
{
|
271 |
"epoch": 0.5428571428571428,
|
272 |
-
"grad_norm": 1.
|
273 |
"learning_rate": 5.0793650793650794e-05,
|
274 |
-
"loss": 0.
|
275 |
"step": 760
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.5571428571428572,
|
279 |
-
"grad_norm": 1.
|
280 |
"learning_rate": 4.9206349206349204e-05,
|
281 |
-
"loss": 0.
|
282 |
"step": 780
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.5714285714285714,
|
286 |
-
"grad_norm": 1.
|
287 |
"learning_rate": 4.761904761904762e-05,
|
288 |
-
"loss": 0.
|
289 |
"step": 800
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.5857142857142857,
|
293 |
-
"grad_norm": 1.
|
294 |
"learning_rate": 4.603174603174603e-05,
|
295 |
-
"loss": 0.
|
296 |
"step": 820
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.6,
|
300 |
-
"grad_norm": 1.
|
301 |
"learning_rate": 4.4444444444444447e-05,
|
302 |
-
"loss": 0.
|
303 |
"step": 840
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.6142857142857143,
|
307 |
-
"grad_norm": 1.
|
308 |
"learning_rate": 4.2857142857142856e-05,
|
309 |
-
"loss": 0.
|
310 |
"step": 860
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.6285714285714286,
|
314 |
-
"grad_norm": 1.
|
315 |
"learning_rate": 4.126984126984127e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 880
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.6428571428571429,
|
321 |
-
"grad_norm": 1.
|
322 |
"learning_rate": 3.968253968253968e-05,
|
323 |
-
"loss": 0.
|
324 |
"step": 900
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.6571428571428571,
|
328 |
-
"grad_norm": 1.
|
329 |
"learning_rate": 3.809523809523809e-05,
|
330 |
-
"loss": 0.
|
331 |
"step": 920
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.6714285714285714,
|
335 |
-
"grad_norm": 1.
|
336 |
"learning_rate": 3.650793650793651e-05,
|
337 |
-
"loss": 0.
|
338 |
"step": 940
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.6857142857142857,
|
342 |
-
"grad_norm": 1.
|
343 |
"learning_rate": 3.492063492063492e-05,
|
344 |
-
"loss": 0.
|
345 |
"step": 960
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.7,
|
349 |
-
"grad_norm": 1.
|
350 |
"learning_rate": 3.3333333333333335e-05,
|
351 |
-
"loss": 0.
|
352 |
"step": 980
|
353 |
},
|
354 |
{
|
355 |
"epoch": 0.7142857142857143,
|
356 |
-
"grad_norm": 1.
|
357 |
"learning_rate": 3.1746031746031745e-05,
|
358 |
-
"loss": 0.
|
359 |
"step": 1000
|
360 |
},
|
361 |
{
|
362 |
"epoch": 0.7285714285714285,
|
363 |
-
"grad_norm": 1.
|
364 |
"learning_rate": 3.0158730158730158e-05,
|
365 |
-
"loss": 0.
|
366 |
"step": 1020
|
367 |
},
|
368 |
{
|
369 |
"epoch": 0.7428571428571429,
|
370 |
-
"grad_norm": 1.
|
371 |
"learning_rate": 2.857142857142857e-05,
|
372 |
-
"loss": 0.
|
373 |
"step": 1040
|
374 |
},
|
375 |
{
|
376 |
"epoch": 0.7571428571428571,
|
377 |
-
"grad_norm": 1.
|
378 |
"learning_rate": 2.6984126984126984e-05,
|
379 |
-
"loss": 0.
|
380 |
"step": 1060
|
381 |
},
|
382 |
{
|
383 |
"epoch": 0.7714285714285715,
|
384 |
-
"grad_norm": 1.
|
385 |
"learning_rate": 2.5396825396825397e-05,
|
386 |
-
"loss": 0.
|
387 |
"step": 1080
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.7857142857142857,
|
391 |
-
"grad_norm": 1.
|
392 |
"learning_rate": 2.380952380952381e-05,
|
393 |
-
"loss": 0.
|
394 |
"step": 1100
|
395 |
},
|
396 |
{
|
397 |
"epoch": 0.8,
|
398 |
-
"grad_norm": 1.
|
399 |
"learning_rate": 2.2222222222222223e-05,
|
400 |
-
"loss": 0.
|
401 |
"step": 1120
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.8142857142857143,
|
405 |
-
"grad_norm": 1.
|
406 |
"learning_rate": 2.0634920634920636e-05,
|
407 |
-
"loss": 0.
|
408 |
"step": 1140
|
409 |
},
|
410 |
{
|
411 |
"epoch": 0.8285714285714286,
|
412 |
-
"grad_norm": 1.
|
413 |
"learning_rate": 1.9047619047619046e-05,
|
414 |
-
"loss": 0.
|
415 |
"step": 1160
|
416 |
},
|
417 |
{
|
418 |
"epoch": 0.8428571428571429,
|
419 |
-
"grad_norm": 1.
|
420 |
"learning_rate": 1.746031746031746e-05,
|
421 |
-
"loss": 0.
|
422 |
"step": 1180
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.8571428571428571,
|
426 |
-
"grad_norm": 1.
|
427 |
"learning_rate": 1.5873015873015872e-05,
|
428 |
-
"loss": 0.
|
429 |
"step": 1200
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.8714285714285714,
|
433 |
-
"grad_norm": 1.
|
434 |
"learning_rate": 1.4285714285714285e-05,
|
435 |
-
"loss": 0.
|
436 |
"step": 1220
|
437 |
},
|
438 |
{
|
439 |
"epoch": 0.8857142857142857,
|
440 |
-
"grad_norm": 1.
|
441 |
"learning_rate": 1.2698412698412699e-05,
|
442 |
-
"loss": 0.
|
443 |
"step": 1240
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.9,
|
447 |
-
"grad_norm": 1.
|
448 |
"learning_rate": 1.1111111111111112e-05,
|
449 |
-
"loss": 0.
|
450 |
"step": 1260
|
451 |
},
|
452 |
{
|
453 |
"epoch": 0.9142857142857143,
|
454 |
-
"grad_norm": 1.
|
455 |
"learning_rate": 9.523809523809523e-06,
|
456 |
-
"loss": 0.
|
457 |
"step": 1280
|
458 |
},
|
459 |
{
|
460 |
"epoch": 0.9285714285714286,
|
461 |
-
"grad_norm": 1.
|
462 |
"learning_rate": 7.936507936507936e-06,
|
463 |
-
"loss": 0.
|
464 |
"step": 1300
|
465 |
},
|
466 |
{
|
467 |
"epoch": 0.9428571428571428,
|
468 |
-
"grad_norm": 1.
|
469 |
"learning_rate": 6.349206349206349e-06,
|
470 |
-
"loss": 0.
|
471 |
"step": 1320
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.9571428571428572,
|
475 |
-
"grad_norm": 1.
|
476 |
"learning_rate": 4.7619047619047615e-06,
|
477 |
-
"loss": 0.
|
478 |
"step": 1340
|
479 |
},
|
480 |
{
|
481 |
"epoch": 0.9714285714285714,
|
482 |
-
"grad_norm": 1.
|
483 |
"learning_rate": 3.1746031746031746e-06,
|
484 |
-
"loss": 0.
|
485 |
"step": 1360
|
486 |
},
|
487 |
{
|
488 |
"epoch": 0.9857142857142858,
|
489 |
-
"grad_norm": 1.
|
490 |
"learning_rate": 1.5873015873015873e-06,
|
491 |
-
"loss": 0.
|
492 |
"step": 1380
|
493 |
},
|
494 |
{
|
495 |
"epoch": 1.0,
|
496 |
-
"grad_norm": 1.
|
497 |
"learning_rate": 0.0,
|
498 |
-
"loss": 0.
|
499 |
"step": 1400
|
500 |
}
|
501 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.014285714285714285,
|
13 |
+
"grad_norm": 1.8742432594299316,
|
14 |
"learning_rate": 1.4285714285714285e-05,
|
15 |
+
"loss": 2.6888,
|
16 |
"step": 20
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.02857142857142857,
|
20 |
+
"grad_norm": 1.6443878412246704,
|
21 |
"learning_rate": 2.857142857142857e-05,
|
22 |
+
"loss": 2.289,
|
23 |
"step": 40
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.04285714285714286,
|
27 |
+
"grad_norm": 1.8094583749771118,
|
28 |
"learning_rate": 4.2857142857142856e-05,
|
29 |
+
"loss": 1.7939,
|
30 |
"step": 60
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.05714285714285714,
|
34 |
+
"grad_norm": 1.4206470251083374,
|
35 |
"learning_rate": 5.714285714285714e-05,
|
36 |
+
"loss": 1.312,
|
37 |
"step": 80
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.07142857142857142,
|
41 |
+
"grad_norm": 1.4811224937438965,
|
42 |
"learning_rate": 7.142857142857143e-05,
|
43 |
+
"loss": 1.0735,
|
44 |
"step": 100
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.08571428571428572,
|
48 |
+
"grad_norm": 1.4770212173461914,
|
49 |
"learning_rate": 8.571428571428571e-05,
|
50 |
+
"loss": 0.9261,
|
51 |
"step": 120
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.1,
|
55 |
+
"grad_norm": 1.3422306776046753,
|
56 |
"learning_rate": 0.0001,
|
57 |
+
"loss": 0.882,
|
58 |
"step": 140
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.11428571428571428,
|
62 |
+
"grad_norm": 1.5494495630264282,
|
63 |
"learning_rate": 9.841269841269841e-05,
|
64 |
+
"loss": 0.8599,
|
65 |
"step": 160
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.12857142857142856,
|
69 |
+
"grad_norm": 1.4366521835327148,
|
70 |
"learning_rate": 9.682539682539682e-05,
|
71 |
+
"loss": 0.7784,
|
72 |
"step": 180
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.14285714285714285,
|
76 |
+
"grad_norm": 1.731536865234375,
|
77 |
"learning_rate": 9.523809523809524e-05,
|
78 |
+
"loss": 0.7404,
|
79 |
"step": 200
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.15714285714285714,
|
83 |
+
"grad_norm": 1.2290751934051514,
|
84 |
"learning_rate": 9.365079365079366e-05,
|
85 |
+
"loss": 0.6393,
|
86 |
"step": 220
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.17142857142857143,
|
90 |
+
"grad_norm": 1.5464402437210083,
|
91 |
"learning_rate": 9.206349206349206e-05,
|
92 |
+
"loss": 0.6414,
|
93 |
"step": 240
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.18571428571428572,
|
97 |
+
"grad_norm": 1.628503680229187,
|
98 |
"learning_rate": 9.047619047619048e-05,
|
99 |
+
"loss": 0.6233,
|
100 |
"step": 260
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.2,
|
104 |
+
"grad_norm": 1.8485362529754639,
|
105 |
"learning_rate": 8.888888888888889e-05,
|
106 |
+
"loss": 0.6558,
|
107 |
"step": 280
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.21428571428571427,
|
111 |
+
"grad_norm": 1.4331471920013428,
|
112 |
"learning_rate": 8.730158730158731e-05,
|
113 |
+
"loss": 0.624,
|
114 |
"step": 300
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.22857142857142856,
|
118 |
+
"grad_norm": 1.6106165647506714,
|
119 |
"learning_rate": 8.571428571428571e-05,
|
120 |
+
"loss": 0.6276,
|
121 |
"step": 320
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.24285714285714285,
|
125 |
+
"grad_norm": 1.328774094581604,
|
126 |
"learning_rate": 8.412698412698413e-05,
|
127 |
+
"loss": 0.5928,
|
128 |
"step": 340
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.2571428571428571,
|
132 |
+
"grad_norm": 1.4172090291976929,
|
133 |
"learning_rate": 8.253968253968255e-05,
|
134 |
+
"loss": 0.597,
|
135 |
"step": 360
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.2714285714285714,
|
139 |
+
"grad_norm": 1.2621384859085083,
|
140 |
"learning_rate": 8.095238095238096e-05,
|
141 |
+
"loss": 0.6336,
|
142 |
"step": 380
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.2857142857142857,
|
146 |
+
"grad_norm": 1.4633510112762451,
|
147 |
"learning_rate": 7.936507936507937e-05,
|
148 |
+
"loss": 0.6165,
|
149 |
"step": 400
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.3,
|
153 |
+
"grad_norm": 1.5444340705871582,
|
154 |
"learning_rate": 7.777777777777778e-05,
|
155 |
+
"loss": 0.6204,
|
156 |
"step": 420
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.3142857142857143,
|
160 |
+
"grad_norm": 1.758965253829956,
|
161 |
"learning_rate": 7.619047619047618e-05,
|
162 |
+
"loss": 0.6122,
|
163 |
"step": 440
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.32857142857142857,
|
167 |
+
"grad_norm": 1.4885847568511963,
|
168 |
"learning_rate": 7.460317460317461e-05,
|
169 |
+
"loss": 0.5739,
|
170 |
"step": 460
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.34285714285714286,
|
174 |
+
"grad_norm": 1.6695561408996582,
|
175 |
"learning_rate": 7.301587301587302e-05,
|
176 |
+
"loss": 0.5807,
|
177 |
"step": 480
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.35714285714285715,
|
181 |
+
"grad_norm": 1.7690757513046265,
|
182 |
"learning_rate": 7.142857142857143e-05,
|
183 |
+
"loss": 0.5633,
|
184 |
"step": 500
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.37142857142857144,
|
188 |
+
"grad_norm": 1.4946894645690918,
|
189 |
"learning_rate": 6.984126984126984e-05,
|
190 |
+
"loss": 0.5602,
|
191 |
"step": 520
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.38571428571428573,
|
195 |
+
"grad_norm": 1.5215212106704712,
|
196 |
"learning_rate": 6.825396825396825e-05,
|
197 |
+
"loss": 0.5381,
|
198 |
"step": 540
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.4,
|
202 |
+
"grad_norm": 1.1956950426101685,
|
203 |
"learning_rate": 6.666666666666667e-05,
|
204 |
+
"loss": 0.5281,
|
205 |
"step": 560
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.4142857142857143,
|
209 |
+
"grad_norm": 1.315496563911438,
|
210 |
"learning_rate": 6.507936507936509e-05,
|
211 |
+
"loss": 0.551,
|
212 |
"step": 580
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.42857142857142855,
|
216 |
+
"grad_norm": 1.3885098695755005,
|
217 |
"learning_rate": 6.349206349206349e-05,
|
218 |
+
"loss": 0.5428,
|
219 |
"step": 600
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.44285714285714284,
|
223 |
+
"grad_norm": 1.4572407007217407,
|
224 |
"learning_rate": 6.19047619047619e-05,
|
225 |
+
"loss": 0.5465,
|
226 |
"step": 620
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.45714285714285713,
|
230 |
+
"grad_norm": 1.411399006843567,
|
231 |
"learning_rate": 6.0317460317460316e-05,
|
232 |
+
"loss": 0.5263,
|
233 |
"step": 640
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.4714285714285714,
|
237 |
+
"grad_norm": 1.3295258283615112,
|
238 |
"learning_rate": 5.873015873015873e-05,
|
239 |
+
"loss": 0.5248,
|
240 |
"step": 660
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.4857142857142857,
|
244 |
+
"grad_norm": 1.512662410736084,
|
245 |
"learning_rate": 5.714285714285714e-05,
|
246 |
+
"loss": 0.5213,
|
247 |
"step": 680
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.5,
|
251 |
+
"grad_norm": 1.3572126626968384,
|
252 |
"learning_rate": 5.555555555555556e-05,
|
253 |
+
"loss": 0.5003,
|
254 |
"step": 700
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.5142857142857142,
|
258 |
+
"grad_norm": 1.4415481090545654,
|
259 |
"learning_rate": 5.396825396825397e-05,
|
260 |
+
"loss": 0.5529,
|
261 |
"step": 720
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.5285714285714286,
|
265 |
+
"grad_norm": 1.4465086460113525,
|
266 |
"learning_rate": 5.2380952380952384e-05,
|
267 |
+
"loss": 0.5266,
|
268 |
"step": 740
|
269 |
},
|
270 |
{
|
271 |
"epoch": 0.5428571428571428,
|
272 |
+
"grad_norm": 1.3659744262695312,
|
273 |
"learning_rate": 5.0793650793650794e-05,
|
274 |
+
"loss": 0.533,
|
275 |
"step": 760
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.5571428571428572,
|
279 |
+
"grad_norm": 1.5549241304397583,
|
280 |
"learning_rate": 4.9206349206349204e-05,
|
281 |
+
"loss": 0.5139,
|
282 |
"step": 780
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.5714285714285714,
|
286 |
+
"grad_norm": 1.5689399242401123,
|
287 |
"learning_rate": 4.761904761904762e-05,
|
288 |
+
"loss": 0.5188,
|
289 |
"step": 800
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.5857142857142857,
|
293 |
+
"grad_norm": 1.3908042907714844,
|
294 |
"learning_rate": 4.603174603174603e-05,
|
295 |
+
"loss": 0.529,
|
296 |
"step": 820
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.6,
|
300 |
+
"grad_norm": 1.7993814945220947,
|
301 |
"learning_rate": 4.4444444444444447e-05,
|
302 |
+
"loss": 0.548,
|
303 |
"step": 840
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.6142857142857143,
|
307 |
+
"grad_norm": 1.5198805332183838,
|
308 |
"learning_rate": 4.2857142857142856e-05,
|
309 |
+
"loss": 0.5367,
|
310 |
"step": 860
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.6285714285714286,
|
314 |
+
"grad_norm": 1.4617140293121338,
|
315 |
"learning_rate": 4.126984126984127e-05,
|
316 |
+
"loss": 0.5016,
|
317 |
"step": 880
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.6428571428571429,
|
321 |
+
"grad_norm": 1.6662240028381348,
|
322 |
"learning_rate": 3.968253968253968e-05,
|
323 |
+
"loss": 0.5078,
|
324 |
"step": 900
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.6571428571428571,
|
328 |
+
"grad_norm": 1.617306113243103,
|
329 |
"learning_rate": 3.809523809523809e-05,
|
330 |
+
"loss": 0.5237,
|
331 |
"step": 920
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.6714285714285714,
|
335 |
+
"grad_norm": 1.7389674186706543,
|
336 |
"learning_rate": 3.650793650793651e-05,
|
337 |
+
"loss": 0.4726,
|
338 |
"step": 940
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.6857142857142857,
|
342 |
+
"grad_norm": 1.54181706905365,
|
343 |
"learning_rate": 3.492063492063492e-05,
|
344 |
+
"loss": 0.5232,
|
345 |
"step": 960
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.7,
|
349 |
+
"grad_norm": 1.4722188711166382,
|
350 |
"learning_rate": 3.3333333333333335e-05,
|
351 |
+
"loss": 0.532,
|
352 |
"step": 980
|
353 |
},
|
354 |
{
|
355 |
"epoch": 0.7142857142857143,
|
356 |
+
"grad_norm": 1.3351426124572754,
|
357 |
"learning_rate": 3.1746031746031745e-05,
|
358 |
+
"loss": 0.5015,
|
359 |
"step": 1000
|
360 |
},
|
361 |
{
|
362 |
"epoch": 0.7285714285714285,
|
363 |
+
"grad_norm": 1.491120457649231,
|
364 |
"learning_rate": 3.0158730158730158e-05,
|
365 |
+
"loss": 0.5201,
|
366 |
"step": 1020
|
367 |
},
|
368 |
{
|
369 |
"epoch": 0.7428571428571429,
|
370 |
+
"grad_norm": 1.24501633644104,
|
371 |
"learning_rate": 2.857142857142857e-05,
|
372 |
+
"loss": 0.4943,
|
373 |
"step": 1040
|
374 |
},
|
375 |
{
|
376 |
"epoch": 0.7571428571428571,
|
377 |
+
"grad_norm": 1.4944851398468018,
|
378 |
"learning_rate": 2.6984126984126984e-05,
|
379 |
+
"loss": 0.4821,
|
380 |
"step": 1060
|
381 |
},
|
382 |
{
|
383 |
"epoch": 0.7714285714285715,
|
384 |
+
"grad_norm": 1.513795256614685,
|
385 |
"learning_rate": 2.5396825396825397e-05,
|
386 |
+
"loss": 0.481,
|
387 |
"step": 1080
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.7857142857142857,
|
391 |
+
"grad_norm": 1.8671048879623413,
|
392 |
"learning_rate": 2.380952380952381e-05,
|
393 |
+
"loss": 0.48,
|
394 |
"step": 1100
|
395 |
},
|
396 |
{
|
397 |
"epoch": 0.8,
|
398 |
+
"grad_norm": 1.3706579208374023,
|
399 |
"learning_rate": 2.2222222222222223e-05,
|
400 |
+
"loss": 0.4979,
|
401 |
"step": 1120
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.8142857142857143,
|
405 |
+
"grad_norm": 1.3706722259521484,
|
406 |
"learning_rate": 2.0634920634920636e-05,
|
407 |
+
"loss": 0.4842,
|
408 |
"step": 1140
|
409 |
},
|
410 |
{
|
411 |
"epoch": 0.8285714285714286,
|
412 |
+
"grad_norm": 1.5844509601593018,
|
413 |
"learning_rate": 1.9047619047619046e-05,
|
414 |
+
"loss": 0.4647,
|
415 |
"step": 1160
|
416 |
},
|
417 |
{
|
418 |
"epoch": 0.8428571428571429,
|
419 |
+
"grad_norm": 1.4700433015823364,
|
420 |
"learning_rate": 1.746031746031746e-05,
|
421 |
+
"loss": 0.4861,
|
422 |
"step": 1180
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.8571428571428571,
|
426 |
+
"grad_norm": 1.5295989513397217,
|
427 |
"learning_rate": 1.5873015873015872e-05,
|
428 |
+
"loss": 0.4719,
|
429 |
"step": 1200
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.8714285714285714,
|
433 |
+
"grad_norm": 1.4497429132461548,
|
434 |
"learning_rate": 1.4285714285714285e-05,
|
435 |
+
"loss": 0.4761,
|
436 |
"step": 1220
|
437 |
},
|
438 |
{
|
439 |
"epoch": 0.8857142857142857,
|
440 |
+
"grad_norm": 1.5591635704040527,
|
441 |
"learning_rate": 1.2698412698412699e-05,
|
442 |
+
"loss": 0.4787,
|
443 |
"step": 1240
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.9,
|
447 |
+
"grad_norm": 1.410678744316101,
|
448 |
"learning_rate": 1.1111111111111112e-05,
|
449 |
+
"loss": 0.4824,
|
450 |
"step": 1260
|
451 |
},
|
452 |
{
|
453 |
"epoch": 0.9142857142857143,
|
454 |
+
"grad_norm": 1.4857158660888672,
|
455 |
"learning_rate": 9.523809523809523e-06,
|
456 |
+
"loss": 0.4757,
|
457 |
"step": 1280
|
458 |
},
|
459 |
{
|
460 |
"epoch": 0.9285714285714286,
|
461 |
+
"grad_norm": 1.626083493232727,
|
462 |
"learning_rate": 7.936507936507936e-06,
|
463 |
+
"loss": 0.4571,
|
464 |
"step": 1300
|
465 |
},
|
466 |
{
|
467 |
"epoch": 0.9428571428571428,
|
468 |
+
"grad_norm": 1.595832109451294,
|
469 |
"learning_rate": 6.349206349206349e-06,
|
470 |
+
"loss": 0.4909,
|
471 |
"step": 1320
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.9571428571428572,
|
475 |
+
"grad_norm": 1.5187280178070068,
|
476 |
"learning_rate": 4.7619047619047615e-06,
|
477 |
+
"loss": 0.4785,
|
478 |
"step": 1340
|
479 |
},
|
480 |
{
|
481 |
"epoch": 0.9714285714285714,
|
482 |
+
"grad_norm": 1.7050893306732178,
|
483 |
"learning_rate": 3.1746031746031746e-06,
|
484 |
+
"loss": 0.4933,
|
485 |
"step": 1360
|
486 |
},
|
487 |
{
|
488 |
"epoch": 0.9857142857142858,
|
489 |
+
"grad_norm": 1.5147182941436768,
|
490 |
"learning_rate": 1.5873015873015873e-06,
|
491 |
+
"loss": 0.4833,
|
492 |
"step": 1380
|
493 |
},
|
494 |
{
|
495 |
"epoch": 1.0,
|
496 |
+
"grad_norm": 1.7184252738952637,
|
497 |
"learning_rate": 0.0,
|
498 |
+
"loss": 0.4739,
|
499 |
"step": 1400
|
500 |
}
|
501 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5560
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8eed791846fb1238d3ca6900ad9684d9e5dc153aabd4fc98681bc70458ff8546
|
3 |
size 5560
|