wangrongsheng commited on
Commit
638411d
·
1 Parent(s): 986b78c

commit from root

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +3 -0
  2. adapter_config.json +19 -0
  3. adapter_model.bin +3 -0
  4. all_results.json +7 -0
  5. checkpoint-1000/README.md +3 -0
  6. checkpoint-1000/adapter_config.json +19 -0
  7. checkpoint-1000/adapter_model.bin +3 -0
  8. checkpoint-1000/finetuning_args.json +13 -0
  9. checkpoint-1000/optimizer.pt +3 -0
  10. checkpoint-1000/rng_state_0.pth +3 -0
  11. checkpoint-1000/rng_state_1.pth +3 -0
  12. checkpoint-1000/rng_state_2.pth +3 -0
  13. checkpoint-1000/rng_state_3.pth +3 -0
  14. checkpoint-1000/scheduler.pt +3 -0
  15. checkpoint-1000/trainer_state.json +616 -0
  16. checkpoint-1000/training_args.bin +3 -0
  17. checkpoint-2000/README.md +3 -0
  18. checkpoint-2000/adapter_config.json +19 -0
  19. checkpoint-2000/adapter_model.bin +3 -0
  20. checkpoint-2000/finetuning_args.json +13 -0
  21. checkpoint-2000/optimizer.pt +3 -0
  22. checkpoint-2000/rng_state_0.pth +3 -0
  23. checkpoint-2000/rng_state_1.pth +3 -0
  24. checkpoint-2000/rng_state_2.pth +3 -0
  25. checkpoint-2000/rng_state_3.pth +3 -0
  26. checkpoint-2000/scheduler.pt +3 -0
  27. checkpoint-2000/trainer_state.json +1216 -0
  28. checkpoint-2000/training_args.bin +3 -0
  29. checkpoint-3000/README.md +3 -0
  30. checkpoint-3000/adapter_config.json +19 -0
  31. checkpoint-3000/adapter_model.bin +3 -0
  32. checkpoint-3000/finetuning_args.json +13 -0
  33. checkpoint-3000/optimizer.pt +3 -0
  34. checkpoint-3000/rng_state_0.pth +3 -0
  35. checkpoint-3000/rng_state_1.pth +3 -0
  36. checkpoint-3000/rng_state_2.pth +3 -0
  37. checkpoint-3000/rng_state_3.pth +3 -0
  38. checkpoint-3000/scheduler.pt +3 -0
  39. checkpoint-3000/trainer_state.json +1816 -0
  40. checkpoint-3000/training_args.bin +3 -0
  41. checkpoint-4000/README.md +3 -0
  42. checkpoint-4000/adapter_config.json +19 -0
  43. checkpoint-4000/adapter_model.bin +3 -0
  44. checkpoint-4000/finetuning_args.json +13 -0
  45. checkpoint-4000/optimizer.pt +3 -0
  46. checkpoint-4000/rng_state_0.pth +3 -0
  47. checkpoint-4000/rng_state_1.pth +3 -0
  48. checkpoint-4000/rng_state_2.pth +3 -0
  49. checkpoint-4000/rng_state_3.pth +3 -0
  50. checkpoint-4000/scheduler.pt +3 -0
README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
adapter_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "THUDM/chatglm-6b",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 32.0,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "query_key_value"
17
+ ],
18
+ "task_type": "CAUSAL_LM"
19
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e528e0c1f628e0e61df5d8f0ec6f3ea90f7ba12c8540e3910b1695d67b887d3
3
+ size 14700057
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "train_loss": 2.176321118631287,
4
+ "train_runtime": 16336.4792,
5
+ "train_samples_per_second": 27.673,
6
+ "train_steps_per_second": 0.432
7
+ }
checkpoint-1000/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
checkpoint-1000/adapter_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "THUDM/chatglm-6b",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 32.0,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "query_key_value"
17
+ ],
18
+ "task_type": "CAUSAL_LM"
19
+ }
checkpoint-1000/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:780cb65c4c47a7089a175ad520161bf7c45470d272dc3f67de92dc83d0599227
3
+ size 14700057
checkpoint-1000/finetuning_args.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "finetuning_type": "lora",
3
+ "lora_alpha": 32.0,
4
+ "lora_dropout": 0.1,
5
+ "lora_rank": 8,
6
+ "lora_target": [
7
+ "query_key_value"
8
+ ],
9
+ "name_module_trainable": "mlp",
10
+ "num_layer_trainable": 3,
11
+ "pre_seq_len": 16,
12
+ "prefix_projection": false
13
+ }
checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35af8cc665ece982b4da2c5691346dfb1152baf49b9f39e52623127b3aa1badd
3
+ size 29407173
checkpoint-1000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d509527d15d0ab81174e61f43c8b5d57f7b74545560402b296262600c288a62b
3
+ size 18679
checkpoint-1000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a7a10ffa9123005bcacf19b7aeac032bdfd4443772aafe7997d394a169f57c6
3
+ size 18679
checkpoint-1000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d5ca95daf473728b559c799550130aa5888c5fdb242c84d7bb42d7c889c445a
3
+ size 18679
checkpoint-1000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0cf6bb2170bd66e9735f60c688cf617bb6934d7c1f8d3e89ed9dc8f0f89a18cf
3
+ size 18679
checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a591e3a265f45cc7ea1e1f12ab952409ddc4d51476e1e6e5b82f1289d6c35f2e
3
+ size 627
checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,616 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.28312570781426954,
5
+ "global_step": 1000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 4.9999752766303955e-05,
13
+ "loss": 2.7224,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4.999901107010577e-05,
19
+ "loss": 2.6131,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 4.999777492607524e-05,
25
+ "loss": 2.5716,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.9996044358661676e-05,
31
+ "loss": 2.5126,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 4.9993819402093446e-05,
37
+ "loss": 2.4635,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 4.999110010037728e-05,
43
+ "loss": 2.4298,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 4.998788650729743e-05,
49
+ "loss": 2.4118,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 4.998417868641457e-05,
55
+ "loss": 2.416,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 4.9979976711064556e-05,
61
+ "loss": 2.4218,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 4.9975280664357e-05,
67
+ "loss": 2.4266,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 4.997009063917356e-05,
73
+ "loss": 2.4419,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.03,
78
+ "learning_rate": 4.996440673816617e-05,
79
+ "loss": 2.3756,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 4.995822907375498e-05,
85
+ "loss": 2.4077,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 4.9951557768126136e-05,
91
+ "loss": 2.3502,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 4.9944392953229365e-05,
97
+ "loss": 2.3754,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.05,
102
+ "learning_rate": 4.993673477077535e-05,
103
+ "loss": 2.3069,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 4.9928583372232954e-05,
109
+ "loss": 2.315,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 4.991993891882622e-05,
115
+ "loss": 2.3428,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.05,
120
+ "learning_rate": 4.991080158153115e-05,
121
+ "loss": 2.3674,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 4.990117154107236e-05,
127
+ "loss": 2.3312,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "learning_rate": 4.989104898791949e-05,
133
+ "loss": 2.3763,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.06,
138
+ "learning_rate": 4.988043412228343e-05,
139
+ "loss": 2.3545,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.07,
144
+ "learning_rate": 4.986932715411239e-05,
145
+ "loss": 2.3477,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.07,
150
+ "learning_rate": 4.985772830308771e-05,
151
+ "loss": 2.338,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.07,
156
+ "learning_rate": 4.9845637798619536e-05,
157
+ "loss": 2.3522,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.07,
162
+ "learning_rate": 4.983305587984227e-05,
163
+ "loss": 2.3603,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.08,
168
+ "learning_rate": 4.981998279560986e-05,
169
+ "loss": 2.3292,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.08,
174
+ "learning_rate": 4.980641880449086e-05,
175
+ "loss": 2.3856,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.08,
180
+ "learning_rate": 4.9792364174763323e-05,
181
+ "loss": 2.3062,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.08,
186
+ "learning_rate": 4.977781918440949e-05,
187
+ "loss": 2.3289,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.09,
192
+ "learning_rate": 4.97627841211103e-05,
193
+ "loss": 2.3062,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.09,
198
+ "learning_rate": 4.97472592822397e-05,
199
+ "loss": 2.2828,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.09,
204
+ "learning_rate": 4.9731244974858746e-05,
205
+ "loss": 2.3063,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.1,
210
+ "learning_rate": 4.971474151570955e-05,
211
+ "loss": 2.3095,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.1,
216
+ "learning_rate": 4.9697749231209025e-05,
217
+ "loss": 2.3358,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.1,
222
+ "learning_rate": 4.968026845744237e-05,
223
+ "loss": 2.2997,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.1,
228
+ "learning_rate": 4.96622995401565e-05,
229
+ "loss": 2.2737,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.11,
234
+ "learning_rate": 4.9643842834753174e-05,
235
+ "loss": 2.2845,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.11,
240
+ "learning_rate": 4.962489870628193e-05,
241
+ "loss": 2.279,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.11,
246
+ "learning_rate": 4.960546752943294e-05,
247
+ "loss": 2.3093,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.12,
252
+ "learning_rate": 4.958554968852952e-05,
253
+ "loss": 2.2509,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.12,
258
+ "learning_rate": 4.95651455775206e-05,
259
+ "loss": 2.2611,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.12,
264
+ "learning_rate": 4.954425559997287e-05,
265
+ "loss": 2.3046,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.12,
270
+ "learning_rate": 4.952288016906284e-05,
271
+ "loss": 2.2862,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.13,
276
+ "learning_rate": 4.9501019707568665e-05,
277
+ "loss": 2.2552,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.13,
282
+ "learning_rate": 4.947867464786174e-05,
283
+ "loss": 2.2684,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.13,
288
+ "learning_rate": 4.945584543189823e-05,
289
+ "loss": 2.3095,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.14,
294
+ "learning_rate": 4.943253251121022e-05,
295
+ "loss": 2.2867,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.14,
300
+ "learning_rate": 4.9408736346896894e-05,
301
+ "loss": 2.2652,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.14,
306
+ "learning_rate": 4.938445740961534e-05,
307
+ "loss": 2.308,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.14,
312
+ "learning_rate": 4.935969617957126e-05,
313
+ "loss": 2.2597,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.15,
318
+ "learning_rate": 4.93344531465095e-05,
319
+ "loss": 2.276,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.15,
324
+ "learning_rate": 4.930872880970432e-05,
325
+ "loss": 2.2597,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.15,
330
+ "learning_rate": 4.9282523677949556e-05,
331
+ "loss": 2.307,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.16,
336
+ "learning_rate": 4.9255838269548524e-05,
337
+ "loss": 2.2805,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.16,
342
+ "learning_rate": 4.9228673112303814e-05,
343
+ "loss": 2.2425,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.16,
348
+ "learning_rate": 4.9201028743506794e-05,
349
+ "loss": 2.2728,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.16,
354
+ "learning_rate": 4.917290570992702e-05,
355
+ "loss": 2.2632,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.17,
360
+ "learning_rate": 4.9144304567801415e-05,
361
+ "loss": 2.2604,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.17,
366
+ "learning_rate": 4.911522588282327e-05,
367
+ "loss": 2.2868,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.17,
372
+ "learning_rate": 4.908567023013104e-05,
373
+ "loss": 2.2433,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.18,
378
+ "learning_rate": 4.9055638194296994e-05,
379
+ "loss": 2.2418,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.18,
384
+ "learning_rate": 4.902513036931562e-05,
385
+ "loss": 2.2624,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.18,
390
+ "learning_rate": 4.89941473585919e-05,
391
+ "loss": 2.2976,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.18,
396
+ "learning_rate": 4.89626897749294e-05,
397
+ "loss": 2.2622,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.19,
402
+ "learning_rate": 4.893075824051807e-05,
403
+ "loss": 2.2527,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.19,
408
+ "learning_rate": 4.889835338692201e-05,
409
+ "loss": 2.2508,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.19,
414
+ "learning_rate": 4.886547585506698e-05,
415
+ "loss": 2.2842,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.2,
420
+ "learning_rate": 4.8832126295227656e-05,
421
+ "loss": 2.2229,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.2,
426
+ "learning_rate": 4.879830536701485e-05,
427
+ "loss": 2.2499,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.2,
432
+ "learning_rate": 4.876401373936239e-05,
433
+ "loss": 2.257,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.2,
438
+ "learning_rate": 4.8729252090513964e-05,
439
+ "loss": 2.2497,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.21,
444
+ "learning_rate": 4.869402110800963e-05,
445
+ "loss": 2.2429,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.21,
450
+ "learning_rate": 4.865832148867228e-05,
451
+ "loss": 2.2452,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.21,
456
+ "learning_rate": 4.8622153938593816e-05,
457
+ "loss": 2.2579,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.22,
462
+ "learning_rate": 4.8585519173121205e-05,
463
+ "loss": 2.264,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.22,
468
+ "learning_rate": 4.8548417916842324e-05,
469
+ "loss": 2.2591,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.22,
474
+ "learning_rate": 4.851085090357163e-05,
475
+ "loss": 2.2939,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.22,
480
+ "learning_rate": 4.847281887633565e-05,
481
+ "loss": 2.231,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.23,
486
+ "learning_rate": 4.843432258735827e-05,
487
+ "loss": 2.2329,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.23,
492
+ "learning_rate": 4.839536279804589e-05,
493
+ "loss": 2.2781,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.23,
498
+ "learning_rate": 4.835594027897231e-05,
499
+ "loss": 2.2041,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.23,
504
+ "learning_rate": 4.831605580986355e-05,
505
+ "loss": 2.2818,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.24,
510
+ "learning_rate": 4.8275710179582366e-05,
511
+ "loss": 2.2479,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.24,
516
+ "learning_rate": 4.823490418611273e-05,
517
+ "loss": 2.2136,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.24,
522
+ "learning_rate": 4.819363863654395e-05,
523
+ "loss": 2.2613,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.25,
528
+ "learning_rate": 4.8151914347054776e-05,
529
+ "loss": 2.205,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.25,
534
+ "learning_rate": 4.810973214289724e-05,
535
+ "loss": 2.2389,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.25,
540
+ "learning_rate": 4.806709285838031e-05,
541
+ "loss": 2.2404,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.25,
546
+ "learning_rate": 4.8023997336853434e-05,
547
+ "loss": 2.2377,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.26,
552
+ "learning_rate": 4.7980446430689804e-05,
553
+ "loss": 2.2662,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.26,
558
+ "learning_rate": 4.793644100126954e-05,
559
+ "loss": 2.2298,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.26,
564
+ "learning_rate": 4.7891981918962656e-05,
565
+ "loss": 2.2265,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.27,
570
+ "learning_rate": 4.784707006311179e-05,
571
+ "loss": 2.2413,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.27,
576
+ "learning_rate": 4.780170632201487e-05,
577
+ "loss": 2.2412,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.27,
582
+ "learning_rate": 4.7755891592907556e-05,
583
+ "loss": 2.2355,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.27,
588
+ "learning_rate": 4.7709626781945397e-05,
589
+ "loss": 2.1954,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.28,
594
+ "learning_rate": 4.766291280418603e-05,
595
+ "loss": 2.232,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.28,
600
+ "learning_rate": 4.761575058357101e-05,
601
+ "loss": 2.2339,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.28,
606
+ "learning_rate": 4.756814105290753e-05,
607
+ "loss": 2.2341,
608
+ "step": 1000
609
+ }
610
+ ],
611
+ "max_steps": 7064,
612
+ "num_train_epochs": 2,
613
+ "total_flos": 2.548796227751772e+17,
614
+ "trial_name": null,
615
+ "trial_params": null
616
+ }
checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8376ab4f660d91b0c627b8b282ba54c15b50ded5dfc111311062d642a6fb321b
3
+ size 3257
checkpoint-2000/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
checkpoint-2000/adapter_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "THUDM/chatglm-6b",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 32.0,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "query_key_value"
17
+ ],
18
+ "task_type": "CAUSAL_LM"
19
+ }
checkpoint-2000/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5334ac79c6a736574f93e1180c271f3c233dcdd7573f7a806cb7ccc5dd02719
3
+ size 14700057
checkpoint-2000/finetuning_args.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "finetuning_type": "lora",
3
+ "lora_alpha": 32.0,
4
+ "lora_dropout": 0.1,
5
+ "lora_rank": 8,
6
+ "lora_target": [
7
+ "query_key_value"
8
+ ],
9
+ "name_module_trainable": "mlp",
10
+ "num_layer_trainable": 3,
11
+ "pre_seq_len": 16,
12
+ "prefix_projection": false
13
+ }
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e041a11fd02d7149edddd1c658f57c1d614ba58d13c78ded1acebf8f42165646
3
+ size 29407173
checkpoint-2000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f746c14da44e6db723150934fd4e4f43ed49f28020eb1d064c7c803e7164a0e
3
+ size 18679
checkpoint-2000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a79b89d1acca1d88b6c26f6ff728c95298fe6b2f834cef5e76b91ba18b6f5bd
3
+ size 18679
checkpoint-2000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d20778da819cce66106bcfc41b8d0ed09658c41c127c46bbf779776ff4bbca9e
3
+ size 18679
checkpoint-2000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef5925f9271e0f7579bec2a3717736edce807d9187cc6076d6f7f066ace573cf
3
+ size 18679
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7e63b0f7d224d36a047a120fdc989122c10ff555fd9e9271cc2a05e908022f9
3
+ size 627
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,1216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.5662514156285391,
5
+ "global_step": 2000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 4.9999752766303955e-05,
13
+ "loss": 2.7224,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4.999901107010577e-05,
19
+ "loss": 2.6131,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 4.999777492607524e-05,
25
+ "loss": 2.5716,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.9996044358661676e-05,
31
+ "loss": 2.5126,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 4.9993819402093446e-05,
37
+ "loss": 2.4635,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 4.999110010037728e-05,
43
+ "loss": 2.4298,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 4.998788650729743e-05,
49
+ "loss": 2.4118,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 4.998417868641457e-05,
55
+ "loss": 2.416,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 4.9979976711064556e-05,
61
+ "loss": 2.4218,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 4.9975280664357e-05,
67
+ "loss": 2.4266,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 4.997009063917356e-05,
73
+ "loss": 2.4419,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.03,
78
+ "learning_rate": 4.996440673816617e-05,
79
+ "loss": 2.3756,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 4.995822907375498e-05,
85
+ "loss": 2.4077,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 4.9951557768126136e-05,
91
+ "loss": 2.3502,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 4.9944392953229365e-05,
97
+ "loss": 2.3754,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.05,
102
+ "learning_rate": 4.993673477077535e-05,
103
+ "loss": 2.3069,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 4.9928583372232954e-05,
109
+ "loss": 2.315,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 4.991993891882622e-05,
115
+ "loss": 2.3428,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.05,
120
+ "learning_rate": 4.991080158153115e-05,
121
+ "loss": 2.3674,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 4.990117154107236e-05,
127
+ "loss": 2.3312,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "learning_rate": 4.989104898791949e-05,
133
+ "loss": 2.3763,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.06,
138
+ "learning_rate": 4.988043412228343e-05,
139
+ "loss": 2.3545,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.07,
144
+ "learning_rate": 4.986932715411239e-05,
145
+ "loss": 2.3477,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.07,
150
+ "learning_rate": 4.985772830308771e-05,
151
+ "loss": 2.338,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.07,
156
+ "learning_rate": 4.9845637798619536e-05,
157
+ "loss": 2.3522,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.07,
162
+ "learning_rate": 4.983305587984227e-05,
163
+ "loss": 2.3603,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.08,
168
+ "learning_rate": 4.981998279560986e-05,
169
+ "loss": 2.3292,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.08,
174
+ "learning_rate": 4.980641880449086e-05,
175
+ "loss": 2.3856,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.08,
180
+ "learning_rate": 4.9792364174763323e-05,
181
+ "loss": 2.3062,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.08,
186
+ "learning_rate": 4.977781918440949e-05,
187
+ "loss": 2.3289,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.09,
192
+ "learning_rate": 4.97627841211103e-05,
193
+ "loss": 2.3062,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.09,
198
+ "learning_rate": 4.97472592822397e-05,
199
+ "loss": 2.2828,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.09,
204
+ "learning_rate": 4.9731244974858746e-05,
205
+ "loss": 2.3063,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.1,
210
+ "learning_rate": 4.971474151570955e-05,
211
+ "loss": 2.3095,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.1,
216
+ "learning_rate": 4.9697749231209025e-05,
217
+ "loss": 2.3358,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.1,
222
+ "learning_rate": 4.968026845744237e-05,
223
+ "loss": 2.2997,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.1,
228
+ "learning_rate": 4.96622995401565e-05,
229
+ "loss": 2.2737,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.11,
234
+ "learning_rate": 4.9643842834753174e-05,
235
+ "loss": 2.2845,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.11,
240
+ "learning_rate": 4.962489870628193e-05,
241
+ "loss": 2.279,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.11,
246
+ "learning_rate": 4.960546752943294e-05,
247
+ "loss": 2.3093,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.12,
252
+ "learning_rate": 4.958554968852952e-05,
253
+ "loss": 2.2509,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.12,
258
+ "learning_rate": 4.95651455775206e-05,
259
+ "loss": 2.2611,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.12,
264
+ "learning_rate": 4.954425559997287e-05,
265
+ "loss": 2.3046,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.12,
270
+ "learning_rate": 4.952288016906284e-05,
271
+ "loss": 2.2862,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.13,
276
+ "learning_rate": 4.9501019707568665e-05,
277
+ "loss": 2.2552,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.13,
282
+ "learning_rate": 4.947867464786174e-05,
283
+ "loss": 2.2684,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.13,
288
+ "learning_rate": 4.945584543189823e-05,
289
+ "loss": 2.3095,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.14,
294
+ "learning_rate": 4.943253251121022e-05,
295
+ "loss": 2.2867,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.14,
300
+ "learning_rate": 4.9408736346896894e-05,
301
+ "loss": 2.2652,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.14,
306
+ "learning_rate": 4.938445740961534e-05,
307
+ "loss": 2.308,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.14,
312
+ "learning_rate": 4.935969617957126e-05,
313
+ "loss": 2.2597,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.15,
318
+ "learning_rate": 4.93344531465095e-05,
319
+ "loss": 2.276,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.15,
324
+ "learning_rate": 4.930872880970432e-05,
325
+ "loss": 2.2597,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.15,
330
+ "learning_rate": 4.9282523677949556e-05,
331
+ "loss": 2.307,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.16,
336
+ "learning_rate": 4.9255838269548524e-05,
337
+ "loss": 2.2805,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.16,
342
+ "learning_rate": 4.9228673112303814e-05,
343
+ "loss": 2.2425,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.16,
348
+ "learning_rate": 4.9201028743506794e-05,
349
+ "loss": 2.2728,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.16,
354
+ "learning_rate": 4.917290570992702e-05,
355
+ "loss": 2.2632,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.17,
360
+ "learning_rate": 4.9144304567801415e-05,
361
+ "loss": 2.2604,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.17,
366
+ "learning_rate": 4.911522588282327e-05,
367
+ "loss": 2.2868,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.17,
372
+ "learning_rate": 4.908567023013104e-05,
373
+ "loss": 2.2433,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.18,
378
+ "learning_rate": 4.9055638194296994e-05,
379
+ "loss": 2.2418,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.18,
384
+ "learning_rate": 4.902513036931562e-05,
385
+ "loss": 2.2624,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.18,
390
+ "learning_rate": 4.89941473585919e-05,
391
+ "loss": 2.2976,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.18,
396
+ "learning_rate": 4.89626897749294e-05,
397
+ "loss": 2.2622,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.19,
402
+ "learning_rate": 4.893075824051807e-05,
403
+ "loss": 2.2527,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.19,
408
+ "learning_rate": 4.889835338692201e-05,
409
+ "loss": 2.2508,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.19,
414
+ "learning_rate": 4.886547585506698e-05,
415
+ "loss": 2.2842,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.2,
420
+ "learning_rate": 4.8832126295227656e-05,
421
+ "loss": 2.2229,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.2,
426
+ "learning_rate": 4.879830536701485e-05,
427
+ "loss": 2.2499,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.2,
432
+ "learning_rate": 4.876401373936239e-05,
433
+ "loss": 2.257,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.2,
438
+ "learning_rate": 4.8729252090513964e-05,
439
+ "loss": 2.2497,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.21,
444
+ "learning_rate": 4.869402110800963e-05,
445
+ "loss": 2.2429,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.21,
450
+ "learning_rate": 4.865832148867228e-05,
451
+ "loss": 2.2452,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.21,
456
+ "learning_rate": 4.8622153938593816e-05,
457
+ "loss": 2.2579,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.22,
462
+ "learning_rate": 4.8585519173121205e-05,
463
+ "loss": 2.264,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.22,
468
+ "learning_rate": 4.8548417916842324e-05,
469
+ "loss": 2.2591,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.22,
474
+ "learning_rate": 4.851085090357163e-05,
475
+ "loss": 2.2939,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.22,
480
+ "learning_rate": 4.847281887633565e-05,
481
+ "loss": 2.231,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.23,
486
+ "learning_rate": 4.843432258735827e-05,
487
+ "loss": 2.2329,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.23,
492
+ "learning_rate": 4.839536279804589e-05,
493
+ "loss": 2.2781,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.23,
498
+ "learning_rate": 4.835594027897231e-05,
499
+ "loss": 2.2041,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.23,
504
+ "learning_rate": 4.831605580986355e-05,
505
+ "loss": 2.2818,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.24,
510
+ "learning_rate": 4.8275710179582366e-05,
511
+ "loss": 2.2479,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.24,
516
+ "learning_rate": 4.823490418611273e-05,
517
+ "loss": 2.2136,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.24,
522
+ "learning_rate": 4.819363863654395e-05,
523
+ "loss": 2.2613,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.25,
528
+ "learning_rate": 4.8151914347054776e-05,
529
+ "loss": 2.205,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.25,
534
+ "learning_rate": 4.810973214289724e-05,
535
+ "loss": 2.2389,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.25,
540
+ "learning_rate": 4.806709285838031e-05,
541
+ "loss": 2.2404,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.25,
546
+ "learning_rate": 4.8023997336853434e-05,
547
+ "loss": 2.2377,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.26,
552
+ "learning_rate": 4.7980446430689804e-05,
553
+ "loss": 2.2662,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.26,
558
+ "learning_rate": 4.793644100126954e-05,
559
+ "loss": 2.2298,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.26,
564
+ "learning_rate": 4.7891981918962656e-05,
565
+ "loss": 2.2265,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.27,
570
+ "learning_rate": 4.784707006311179e-05,
571
+ "loss": 2.2413,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.27,
576
+ "learning_rate": 4.780170632201487e-05,
577
+ "loss": 2.2412,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.27,
582
+ "learning_rate": 4.7755891592907556e-05,
583
+ "loss": 2.2355,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.27,
588
+ "learning_rate": 4.7709626781945397e-05,
589
+ "loss": 2.1954,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.28,
594
+ "learning_rate": 4.766291280418603e-05,
595
+ "loss": 2.232,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.28,
600
+ "learning_rate": 4.761575058357101e-05,
601
+ "loss": 2.2339,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.28,
606
+ "learning_rate": 4.756814105290753e-05,
607
+ "loss": 2.2341,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 0.29,
612
+ "learning_rate": 4.7520085153850014e-05,
613
+ "loss": 2.2251,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 0.29,
618
+ "learning_rate": 4.7471583836881476e-05,
619
+ "loss": 2.24,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 0.29,
624
+ "learning_rate": 4.742263806129469e-05,
625
+ "loss": 2.2173,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 0.29,
630
+ "learning_rate": 4.737324879517326e-05,
631
+ "loss": 2.2581,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 0.3,
636
+ "learning_rate": 4.732341701537245e-05,
637
+ "loss": 2.2227,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 0.3,
642
+ "learning_rate": 4.727314370749988e-05,
643
+ "loss": 2.246,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 0.3,
648
+ "learning_rate": 4.7222429865896e-05,
649
+ "loss": 2.2351,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 0.31,
654
+ "learning_rate": 4.717127649361444e-05,
655
+ "loss": 2.2326,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 0.31,
660
+ "learning_rate": 4.71196846024022e-05,
661
+ "loss": 2.2098,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 0.31,
666
+ "learning_rate": 4.7067655212679585e-05,
667
+ "loss": 2.2268,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 0.31,
672
+ "learning_rate": 4.701518935352006e-05,
673
+ "loss": 2.2108,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 0.32,
678
+ "learning_rate": 4.69622880626299e-05,
679
+ "loss": 2.2288,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 0.32,
684
+ "learning_rate": 4.690895238632762e-05,
685
+ "loss": 2.2211,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 0.32,
690
+ "learning_rate": 4.685518337952335e-05,
691
+ "loss": 2.2084,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 0.33,
696
+ "learning_rate": 4.680098210569789e-05,
697
+ "loss": 2.245,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 0.33,
702
+ "learning_rate": 4.674634963688177e-05,
703
+ "loss": 2.2657,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 0.33,
708
+ "learning_rate": 4.669128705363394e-05,
709
+ "loss": 2.2305,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 0.33,
714
+ "learning_rate": 4.663579544502049e-05,
715
+ "loss": 2.2582,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 0.34,
720
+ "learning_rate": 4.657987590859305e-05,
721
+ "loss": 2.2154,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 0.34,
726
+ "learning_rate": 4.652352955036713e-05,
727
+ "loss": 2.2047,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 0.34,
732
+ "learning_rate": 4.646675748480019e-05,
733
+ "loss": 2.2122,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 0.35,
738
+ "learning_rate": 4.640956083476964e-05,
739
+ "loss": 2.1967,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 0.35,
744
+ "learning_rate": 4.635194073155061e-05,
745
+ "loss": 2.2335,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 0.35,
750
+ "learning_rate": 4.62938983147936e-05,
751
+ "loss": 2.2196,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 0.35,
756
+ "learning_rate": 4.62354347325019e-05,
757
+ "loss": 2.2187,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 0.36,
762
+ "learning_rate": 4.6176551141008916e-05,
763
+ "loss": 2.2341,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 0.36,
768
+ "learning_rate": 4.611724870495528e-05,
769
+ "loss": 2.2043,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 0.36,
774
+ "learning_rate": 4.605752859726583e-05,
775
+ "loss": 2.2006,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 0.37,
780
+ "learning_rate": 4.5997391999126397e-05,
781
+ "loss": 2.2017,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 0.37,
786
+ "learning_rate": 4.5936840099960465e-05,
787
+ "loss": 2.2377,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 0.37,
792
+ "learning_rate": 4.587587409740561e-05,
793
+ "loss": 2.1889,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 0.37,
798
+ "learning_rate": 4.581449519728986e-05,
799
+ "loss": 2.202,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 0.38,
804
+ "learning_rate": 4.575270461360779e-05,
805
+ "loss": 2.2038,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 0.38,
810
+ "learning_rate": 4.569050356849655e-05,
811
+ "loss": 2.1918,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 0.38,
816
+ "learning_rate": 4.562789329221169e-05,
817
+ "loss": 2.2356,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 0.39,
822
+ "learning_rate": 4.5564875023102796e-05,
823
+ "loss": 2.2356,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 0.39,
828
+ "learning_rate": 4.550145000758905e-05,
829
+ "loss": 2.2383,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 0.39,
834
+ "learning_rate": 4.543761950013453e-05,
835
+ "loss": 2.238,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 0.39,
840
+ "learning_rate": 4.537338476322341e-05,
841
+ "loss": 2.2153,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 0.4,
846
+ "learning_rate": 4.530874706733502e-05,
847
+ "loss": 2.2484,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 0.4,
852
+ "learning_rate": 4.524370769091866e-05,
853
+ "loss": 2.204,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 0.4,
858
+ "learning_rate": 4.5178267920368366e-05,
859
+ "loss": 2.2408,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 0.4,
864
+ "learning_rate": 4.511242904999746e-05,
865
+ "loss": 2.2172,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 0.41,
870
+ "learning_rate": 4.50461923820129e-05,
871
+ "loss": 2.2467,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 0.41,
876
+ "learning_rate": 4.497955922648961e-05,
877
+ "loss": 2.2417,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 0.41,
882
+ "learning_rate": 4.491253090134447e-05,
883
+ "loss": 2.1996,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 0.42,
888
+ "learning_rate": 4.4845108732310355e-05,
889
+ "loss": 2.2065,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 0.42,
894
+ "learning_rate": 4.4777294052909804e-05,
895
+ "loss": 2.2379,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 0.42,
900
+ "learning_rate": 4.470908820442873e-05,
901
+ "loss": 2.2136,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 0.42,
906
+ "learning_rate": 4.464049253588985e-05,
907
+ "loss": 2.1988,
908
+ "step": 1500
909
+ },
910
+ {
911
+ "epoch": 0.43,
912
+ "learning_rate": 4.457150840402604e-05,
913
+ "loss": 2.2133,
914
+ "step": 1510
915
+ },
916
+ {
917
+ "epoch": 0.43,
918
+ "learning_rate": 4.450213717325343e-05,
919
+ "loss": 2.2173,
920
+ "step": 1520
921
+ },
922
+ {
923
+ "epoch": 0.43,
924
+ "learning_rate": 4.443238021564448e-05,
925
+ "loss": 2.2417,
926
+ "step": 1530
927
+ },
928
+ {
929
+ "epoch": 0.44,
930
+ "learning_rate": 4.4362238910900835e-05,
931
+ "loss": 2.2359,
932
+ "step": 1540
933
+ },
934
+ {
935
+ "epoch": 0.44,
936
+ "learning_rate": 4.4291714646326024e-05,
937
+ "loss": 2.1843,
938
+ "step": 1550
939
+ },
940
+ {
941
+ "epoch": 0.44,
942
+ "learning_rate": 4.4220808816797995e-05,
943
+ "loss": 2.2367,
944
+ "step": 1560
945
+ },
946
+ {
947
+ "epoch": 0.44,
948
+ "learning_rate": 4.414952282474158e-05,
949
+ "loss": 2.2484,
950
+ "step": 1570
951
+ },
952
+ {
953
+ "epoch": 0.45,
954
+ "learning_rate": 4.407785808010073e-05,
955
+ "loss": 2.2269,
956
+ "step": 1580
957
+ },
958
+ {
959
+ "epoch": 0.45,
960
+ "learning_rate": 4.400581600031062e-05,
961
+ "loss": 2.2405,
962
+ "step": 1590
963
+ },
964
+ {
965
+ "epoch": 0.45,
966
+ "learning_rate": 4.3933398010269614e-05,
967
+ "loss": 2.1853,
968
+ "step": 1600
969
+ },
970
+ {
971
+ "epoch": 0.46,
972
+ "learning_rate": 4.386060554231111e-05,
973
+ "loss": 2.1855,
974
+ "step": 1610
975
+ },
976
+ {
977
+ "epoch": 0.46,
978
+ "learning_rate": 4.378744003617517e-05,
979
+ "loss": 2.1776,
980
+ "step": 1620
981
+ },
982
+ {
983
+ "epoch": 0.46,
984
+ "learning_rate": 4.371390293898007e-05,
985
+ "loss": 2.198,
986
+ "step": 1630
987
+ },
988
+ {
989
+ "epoch": 0.46,
990
+ "learning_rate": 4.3639995705193684e-05,
991
+ "loss": 2.2166,
992
+ "step": 1640
993
+ },
994
+ {
995
+ "epoch": 0.47,
996
+ "learning_rate": 4.3565719796604706e-05,
997
+ "loss": 2.1939,
998
+ "step": 1650
999
+ },
1000
+ {
1001
+ "epoch": 0.47,
1002
+ "learning_rate": 4.3491076682293715e-05,
1003
+ "loss": 2.1843,
1004
+ "step": 1660
1005
+ },
1006
+ {
1007
+ "epoch": 0.47,
1008
+ "learning_rate": 4.341606783860416e-05,
1009
+ "loss": 2.1955,
1010
+ "step": 1670
1011
+ },
1012
+ {
1013
+ "epoch": 0.48,
1014
+ "learning_rate": 4.334069474911313e-05,
1015
+ "loss": 2.1792,
1016
+ "step": 1680
1017
+ },
1018
+ {
1019
+ "epoch": 0.48,
1020
+ "learning_rate": 4.326495890460204e-05,
1021
+ "loss": 2.1898,
1022
+ "step": 1690
1023
+ },
1024
+ {
1025
+ "epoch": 0.48,
1026
+ "learning_rate": 4.3188861803027094e-05,
1027
+ "loss": 2.1906,
1028
+ "step": 1700
1029
+ },
1030
+ {
1031
+ "epoch": 0.48,
1032
+ "learning_rate": 4.3112404949489715e-05,
1033
+ "loss": 2.2328,
1034
+ "step": 1710
1035
+ },
1036
+ {
1037
+ "epoch": 0.49,
1038
+ "learning_rate": 4.303558985620673e-05,
1039
+ "loss": 2.2169,
1040
+ "step": 1720
1041
+ },
1042
+ {
1043
+ "epoch": 0.49,
1044
+ "learning_rate": 4.2958418042480506e-05,
1045
+ "loss": 2.1611,
1046
+ "step": 1730
1047
+ },
1048
+ {
1049
+ "epoch": 0.49,
1050
+ "learning_rate": 4.288089103466886e-05,
1051
+ "loss": 2.2076,
1052
+ "step": 1740
1053
+ },
1054
+ {
1055
+ "epoch": 0.5,
1056
+ "learning_rate": 4.280301036615489e-05,
1057
+ "loss": 2.1789,
1058
+ "step": 1750
1059
+ },
1060
+ {
1061
+ "epoch": 0.5,
1062
+ "learning_rate": 4.272477757731662e-05,
1063
+ "loss": 2.2005,
1064
+ "step": 1760
1065
+ },
1066
+ {
1067
+ "epoch": 0.5,
1068
+ "learning_rate": 4.2646194215496595e-05,
1069
+ "loss": 2.1777,
1070
+ "step": 1770
1071
+ },
1072
+ {
1073
+ "epoch": 0.5,
1074
+ "learning_rate": 4.2567261834971206e-05,
1075
+ "loss": 2.1725,
1076
+ "step": 1780
1077
+ },
1078
+ {
1079
+ "epoch": 0.51,
1080
+ "learning_rate": 4.248798199691998e-05,
1081
+ "loss": 2.2078,
1082
+ "step": 1790
1083
+ },
1084
+ {
1085
+ "epoch": 0.51,
1086
+ "learning_rate": 4.2408356269394714e-05,
1087
+ "loss": 2.2008,
1088
+ "step": 1800
1089
+ },
1090
+ {
1091
+ "epoch": 0.51,
1092
+ "learning_rate": 4.2328386227288445e-05,
1093
+ "loss": 2.1663,
1094
+ "step": 1810
1095
+ },
1096
+ {
1097
+ "epoch": 0.52,
1098
+ "learning_rate": 4.224807345230429e-05,
1099
+ "loss": 2.2049,
1100
+ "step": 1820
1101
+ },
1102
+ {
1103
+ "epoch": 0.52,
1104
+ "learning_rate": 4.21674195329242e-05,
1105
+ "loss": 2.1745,
1106
+ "step": 1830
1107
+ },
1108
+ {
1109
+ "epoch": 0.52,
1110
+ "learning_rate": 4.208642606437748e-05,
1111
+ "loss": 2.2407,
1112
+ "step": 1840
1113
+ },
1114
+ {
1115
+ "epoch": 0.52,
1116
+ "learning_rate": 4.2005094648609325e-05,
1117
+ "loss": 2.2048,
1118
+ "step": 1850
1119
+ },
1120
+ {
1121
+ "epoch": 0.53,
1122
+ "learning_rate": 4.192342689424903e-05,
1123
+ "loss": 2.1035,
1124
+ "step": 1860
1125
+ },
1126
+ {
1127
+ "epoch": 0.53,
1128
+ "learning_rate": 4.184142441657827e-05,
1129
+ "loss": 2.2034,
1130
+ "step": 1870
1131
+ },
1132
+ {
1133
+ "epoch": 0.53,
1134
+ "learning_rate": 4.1759088837499095e-05,
1135
+ "loss": 2.2424,
1136
+ "step": 1880
1137
+ },
1138
+ {
1139
+ "epoch": 0.54,
1140
+ "learning_rate": 4.167642178550186e-05,
1141
+ "loss": 2.2036,
1142
+ "step": 1890
1143
+ },
1144
+ {
1145
+ "epoch": 0.54,
1146
+ "learning_rate": 4.159342489563304e-05,
1147
+ "loss": 2.1925,
1148
+ "step": 1900
1149
+ },
1150
+ {
1151
+ "epoch": 0.54,
1152
+ "learning_rate": 4.151009980946287e-05,
1153
+ "loss": 2.1977,
1154
+ "step": 1910
1155
+ },
1156
+ {
1157
+ "epoch": 0.54,
1158
+ "learning_rate": 4.142644817505284e-05,
1159
+ "loss": 2.1568,
1160
+ "step": 1920
1161
+ },
1162
+ {
1163
+ "epoch": 0.55,
1164
+ "learning_rate": 4.1342471646923196e-05,
1165
+ "loss": 2.2062,
1166
+ "step": 1930
1167
+ },
1168
+ {
1169
+ "epoch": 0.55,
1170
+ "learning_rate": 4.1258171886020124e-05,
1171
+ "loss": 2.1841,
1172
+ "step": 1940
1173
+ },
1174
+ {
1175
+ "epoch": 0.55,
1176
+ "learning_rate": 4.117355055968295e-05,
1177
+ "loss": 2.181,
1178
+ "step": 1950
1179
+ },
1180
+ {
1181
+ "epoch": 0.55,
1182
+ "learning_rate": 4.1088609341611135e-05,
1183
+ "loss": 2.1584,
1184
+ "step": 1960
1185
+ },
1186
+ {
1187
+ "epoch": 0.56,
1188
+ "learning_rate": 4.1003349911831166e-05,
1189
+ "loss": 2.2113,
1190
+ "step": 1970
1191
+ },
1192
+ {
1193
+ "epoch": 0.56,
1194
+ "learning_rate": 4.091777395666338e-05,
1195
+ "loss": 2.235,
1196
+ "step": 1980
1197
+ },
1198
+ {
1199
+ "epoch": 0.56,
1200
+ "learning_rate": 4.0831883168688534e-05,
1201
+ "loss": 2.1844,
1202
+ "step": 1990
1203
+ },
1204
+ {
1205
+ "epoch": 0.57,
1206
+ "learning_rate": 4.07456792467144e-05,
1207
+ "loss": 2.2042,
1208
+ "step": 2000
1209
+ }
1210
+ ],
1211
+ "max_steps": 7064,
1212
+ "num_train_epochs": 2,
1213
+ "total_flos": 5.0963644652978176e+17,
1214
+ "trial_name": null,
1215
+ "trial_params": null
1216
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8376ab4f660d91b0c627b8b282ba54c15b50ded5dfc111311062d642a6fb321b
3
+ size 3257
checkpoint-3000/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
checkpoint-3000/adapter_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "THUDM/chatglm-6b",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 32.0,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "query_key_value"
17
+ ],
18
+ "task_type": "CAUSAL_LM"
19
+ }
checkpoint-3000/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1a6e8c5de4d80fdb42380e54871cc8bf17f0e36d2893c73d7b64a540675af49
3
+ size 14700057
checkpoint-3000/finetuning_args.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "finetuning_type": "lora",
3
+ "lora_alpha": 32.0,
4
+ "lora_dropout": 0.1,
5
+ "lora_rank": 8,
6
+ "lora_target": [
7
+ "query_key_value"
8
+ ],
9
+ "name_module_trainable": "mlp",
10
+ "num_layer_trainable": 3,
11
+ "pre_seq_len": 16,
12
+ "prefix_projection": false
13
+ }
checkpoint-3000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2b16514b8c118fa7f9805abbca74205f0ec170d222d5c6b0c9aa57bd60f2175
3
+ size 29407173
checkpoint-3000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e47ebf218b49b1a4b021ec9c75ff3aac3e6d5875ee4e2f9e8bf8fd5f977e7b90
3
+ size 18679
checkpoint-3000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ef7774d0626e4c9438570ae62a8f440c52831e91306c1c22f34fa54945fedfe
3
+ size 18679
checkpoint-3000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c8c8989f1712d20dade4ae1f723c29967180eb7bff7b7f7168f61d28b69b128
3
+ size 18679
checkpoint-3000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72af7b451e8fd059f651627909e3e0509db0693cb3ea20f83a498ea3b53ba60f
3
+ size 18679
checkpoint-3000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93b3f6531267b4bdbf5a6a0db75b0e9169e561b588905320233f1373d13e9940
3
+ size 627
checkpoint-3000/trainer_state.json ADDED
@@ -0,0 +1,1816 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.8493771234428086,
5
+ "global_step": 3000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 4.9999752766303955e-05,
13
+ "loss": 2.7224,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4.999901107010577e-05,
19
+ "loss": 2.6131,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 4.999777492607524e-05,
25
+ "loss": 2.5716,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.9996044358661676e-05,
31
+ "loss": 2.5126,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 4.9993819402093446e-05,
37
+ "loss": 2.4635,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 4.999110010037728e-05,
43
+ "loss": 2.4298,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 4.998788650729743e-05,
49
+ "loss": 2.4118,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 4.998417868641457e-05,
55
+ "loss": 2.416,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 4.9979976711064556e-05,
61
+ "loss": 2.4218,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 4.9975280664357e-05,
67
+ "loss": 2.4266,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 4.997009063917356e-05,
73
+ "loss": 2.4419,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.03,
78
+ "learning_rate": 4.996440673816617e-05,
79
+ "loss": 2.3756,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 4.995822907375498e-05,
85
+ "loss": 2.4077,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 4.9951557768126136e-05,
91
+ "loss": 2.3502,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 4.9944392953229365e-05,
97
+ "loss": 2.3754,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.05,
102
+ "learning_rate": 4.993673477077535e-05,
103
+ "loss": 2.3069,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 4.9928583372232954e-05,
109
+ "loss": 2.315,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 4.991993891882622e-05,
115
+ "loss": 2.3428,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.05,
120
+ "learning_rate": 4.991080158153115e-05,
121
+ "loss": 2.3674,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 4.990117154107236e-05,
127
+ "loss": 2.3312,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "learning_rate": 4.989104898791949e-05,
133
+ "loss": 2.3763,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.06,
138
+ "learning_rate": 4.988043412228343e-05,
139
+ "loss": 2.3545,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.07,
144
+ "learning_rate": 4.986932715411239e-05,
145
+ "loss": 2.3477,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.07,
150
+ "learning_rate": 4.985772830308771e-05,
151
+ "loss": 2.338,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.07,
156
+ "learning_rate": 4.9845637798619536e-05,
157
+ "loss": 2.3522,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.07,
162
+ "learning_rate": 4.983305587984227e-05,
163
+ "loss": 2.3603,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.08,
168
+ "learning_rate": 4.981998279560986e-05,
169
+ "loss": 2.3292,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.08,
174
+ "learning_rate": 4.980641880449086e-05,
175
+ "loss": 2.3856,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.08,
180
+ "learning_rate": 4.9792364174763323e-05,
181
+ "loss": 2.3062,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.08,
186
+ "learning_rate": 4.977781918440949e-05,
187
+ "loss": 2.3289,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.09,
192
+ "learning_rate": 4.97627841211103e-05,
193
+ "loss": 2.3062,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.09,
198
+ "learning_rate": 4.97472592822397e-05,
199
+ "loss": 2.2828,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.09,
204
+ "learning_rate": 4.9731244974858746e-05,
205
+ "loss": 2.3063,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.1,
210
+ "learning_rate": 4.971474151570955e-05,
211
+ "loss": 2.3095,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.1,
216
+ "learning_rate": 4.9697749231209025e-05,
217
+ "loss": 2.3358,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.1,
222
+ "learning_rate": 4.968026845744237e-05,
223
+ "loss": 2.2997,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.1,
228
+ "learning_rate": 4.96622995401565e-05,
229
+ "loss": 2.2737,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.11,
234
+ "learning_rate": 4.9643842834753174e-05,
235
+ "loss": 2.2845,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.11,
240
+ "learning_rate": 4.962489870628193e-05,
241
+ "loss": 2.279,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.11,
246
+ "learning_rate": 4.960546752943294e-05,
247
+ "loss": 2.3093,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.12,
252
+ "learning_rate": 4.958554968852952e-05,
253
+ "loss": 2.2509,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.12,
258
+ "learning_rate": 4.95651455775206e-05,
259
+ "loss": 2.2611,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.12,
264
+ "learning_rate": 4.954425559997287e-05,
265
+ "loss": 2.3046,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.12,
270
+ "learning_rate": 4.952288016906284e-05,
271
+ "loss": 2.2862,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.13,
276
+ "learning_rate": 4.9501019707568665e-05,
277
+ "loss": 2.2552,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.13,
282
+ "learning_rate": 4.947867464786174e-05,
283
+ "loss": 2.2684,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.13,
288
+ "learning_rate": 4.945584543189823e-05,
289
+ "loss": 2.3095,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.14,
294
+ "learning_rate": 4.943253251121022e-05,
295
+ "loss": 2.2867,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.14,
300
+ "learning_rate": 4.9408736346896894e-05,
301
+ "loss": 2.2652,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.14,
306
+ "learning_rate": 4.938445740961534e-05,
307
+ "loss": 2.308,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.14,
312
+ "learning_rate": 4.935969617957126e-05,
313
+ "loss": 2.2597,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.15,
318
+ "learning_rate": 4.93344531465095e-05,
319
+ "loss": 2.276,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.15,
324
+ "learning_rate": 4.930872880970432e-05,
325
+ "loss": 2.2597,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.15,
330
+ "learning_rate": 4.9282523677949556e-05,
331
+ "loss": 2.307,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.16,
336
+ "learning_rate": 4.9255838269548524e-05,
337
+ "loss": 2.2805,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.16,
342
+ "learning_rate": 4.9228673112303814e-05,
343
+ "loss": 2.2425,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.16,
348
+ "learning_rate": 4.9201028743506794e-05,
349
+ "loss": 2.2728,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.16,
354
+ "learning_rate": 4.917290570992702e-05,
355
+ "loss": 2.2632,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.17,
360
+ "learning_rate": 4.9144304567801415e-05,
361
+ "loss": 2.2604,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.17,
366
+ "learning_rate": 4.911522588282327e-05,
367
+ "loss": 2.2868,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.17,
372
+ "learning_rate": 4.908567023013104e-05,
373
+ "loss": 2.2433,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.18,
378
+ "learning_rate": 4.9055638194296994e-05,
379
+ "loss": 2.2418,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.18,
384
+ "learning_rate": 4.902513036931562e-05,
385
+ "loss": 2.2624,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.18,
390
+ "learning_rate": 4.89941473585919e-05,
391
+ "loss": 2.2976,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.18,
396
+ "learning_rate": 4.89626897749294e-05,
397
+ "loss": 2.2622,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.19,
402
+ "learning_rate": 4.893075824051807e-05,
403
+ "loss": 2.2527,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.19,
408
+ "learning_rate": 4.889835338692201e-05,
409
+ "loss": 2.2508,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.19,
414
+ "learning_rate": 4.886547585506698e-05,
415
+ "loss": 2.2842,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.2,
420
+ "learning_rate": 4.8832126295227656e-05,
421
+ "loss": 2.2229,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.2,
426
+ "learning_rate": 4.879830536701485e-05,
427
+ "loss": 2.2499,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.2,
432
+ "learning_rate": 4.876401373936239e-05,
433
+ "loss": 2.257,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.2,
438
+ "learning_rate": 4.8729252090513964e-05,
439
+ "loss": 2.2497,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.21,
444
+ "learning_rate": 4.869402110800963e-05,
445
+ "loss": 2.2429,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.21,
450
+ "learning_rate": 4.865832148867228e-05,
451
+ "loss": 2.2452,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.21,
456
+ "learning_rate": 4.8622153938593816e-05,
457
+ "loss": 2.2579,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.22,
462
+ "learning_rate": 4.8585519173121205e-05,
463
+ "loss": 2.264,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.22,
468
+ "learning_rate": 4.8548417916842324e-05,
469
+ "loss": 2.2591,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.22,
474
+ "learning_rate": 4.851085090357163e-05,
475
+ "loss": 2.2939,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.22,
480
+ "learning_rate": 4.847281887633565e-05,
481
+ "loss": 2.231,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.23,
486
+ "learning_rate": 4.843432258735827e-05,
487
+ "loss": 2.2329,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.23,
492
+ "learning_rate": 4.839536279804589e-05,
493
+ "loss": 2.2781,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.23,
498
+ "learning_rate": 4.835594027897231e-05,
499
+ "loss": 2.2041,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.23,
504
+ "learning_rate": 4.831605580986355e-05,
505
+ "loss": 2.2818,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.24,
510
+ "learning_rate": 4.8275710179582366e-05,
511
+ "loss": 2.2479,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.24,
516
+ "learning_rate": 4.823490418611273e-05,
517
+ "loss": 2.2136,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.24,
522
+ "learning_rate": 4.819363863654395e-05,
523
+ "loss": 2.2613,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.25,
528
+ "learning_rate": 4.8151914347054776e-05,
529
+ "loss": 2.205,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.25,
534
+ "learning_rate": 4.810973214289724e-05,
535
+ "loss": 2.2389,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.25,
540
+ "learning_rate": 4.806709285838031e-05,
541
+ "loss": 2.2404,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.25,
546
+ "learning_rate": 4.8023997336853434e-05,
547
+ "loss": 2.2377,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.26,
552
+ "learning_rate": 4.7980446430689804e-05,
553
+ "loss": 2.2662,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.26,
558
+ "learning_rate": 4.793644100126954e-05,
559
+ "loss": 2.2298,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.26,
564
+ "learning_rate": 4.7891981918962656e-05,
565
+ "loss": 2.2265,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.27,
570
+ "learning_rate": 4.784707006311179e-05,
571
+ "loss": 2.2413,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.27,
576
+ "learning_rate": 4.780170632201487e-05,
577
+ "loss": 2.2412,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.27,
582
+ "learning_rate": 4.7755891592907556e-05,
583
+ "loss": 2.2355,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.27,
588
+ "learning_rate": 4.7709626781945397e-05,
589
+ "loss": 2.1954,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.28,
594
+ "learning_rate": 4.766291280418603e-05,
595
+ "loss": 2.232,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.28,
600
+ "learning_rate": 4.761575058357101e-05,
601
+ "loss": 2.2339,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.28,
606
+ "learning_rate": 4.756814105290753e-05,
607
+ "loss": 2.2341,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 0.29,
612
+ "learning_rate": 4.7520085153850014e-05,
613
+ "loss": 2.2251,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 0.29,
618
+ "learning_rate": 4.7471583836881476e-05,
619
+ "loss": 2.24,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 0.29,
624
+ "learning_rate": 4.742263806129469e-05,
625
+ "loss": 2.2173,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 0.29,
630
+ "learning_rate": 4.737324879517326e-05,
631
+ "loss": 2.2581,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 0.3,
636
+ "learning_rate": 4.732341701537245e-05,
637
+ "loss": 2.2227,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 0.3,
642
+ "learning_rate": 4.727314370749988e-05,
643
+ "loss": 2.246,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 0.3,
648
+ "learning_rate": 4.7222429865896e-05,
649
+ "loss": 2.2351,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 0.31,
654
+ "learning_rate": 4.717127649361444e-05,
655
+ "loss": 2.2326,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 0.31,
660
+ "learning_rate": 4.71196846024022e-05,
661
+ "loss": 2.2098,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 0.31,
666
+ "learning_rate": 4.7067655212679585e-05,
667
+ "loss": 2.2268,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 0.31,
672
+ "learning_rate": 4.701518935352006e-05,
673
+ "loss": 2.2108,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 0.32,
678
+ "learning_rate": 4.69622880626299e-05,
679
+ "loss": 2.2288,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 0.32,
684
+ "learning_rate": 4.690895238632762e-05,
685
+ "loss": 2.2211,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 0.32,
690
+ "learning_rate": 4.685518337952335e-05,
691
+ "loss": 2.2084,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 0.33,
696
+ "learning_rate": 4.680098210569789e-05,
697
+ "loss": 2.245,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 0.33,
702
+ "learning_rate": 4.674634963688177e-05,
703
+ "loss": 2.2657,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 0.33,
708
+ "learning_rate": 4.669128705363394e-05,
709
+ "loss": 2.2305,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 0.33,
714
+ "learning_rate": 4.663579544502049e-05,
715
+ "loss": 2.2582,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 0.34,
720
+ "learning_rate": 4.657987590859305e-05,
721
+ "loss": 2.2154,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 0.34,
726
+ "learning_rate": 4.652352955036713e-05,
727
+ "loss": 2.2047,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 0.34,
732
+ "learning_rate": 4.646675748480019e-05,
733
+ "loss": 2.2122,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 0.35,
738
+ "learning_rate": 4.640956083476964e-05,
739
+ "loss": 2.1967,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 0.35,
744
+ "learning_rate": 4.635194073155061e-05,
745
+ "loss": 2.2335,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 0.35,
750
+ "learning_rate": 4.62938983147936e-05,
751
+ "loss": 2.2196,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 0.35,
756
+ "learning_rate": 4.62354347325019e-05,
757
+ "loss": 2.2187,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 0.36,
762
+ "learning_rate": 4.6176551141008916e-05,
763
+ "loss": 2.2341,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 0.36,
768
+ "learning_rate": 4.611724870495528e-05,
769
+ "loss": 2.2043,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 0.36,
774
+ "learning_rate": 4.605752859726583e-05,
775
+ "loss": 2.2006,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 0.37,
780
+ "learning_rate": 4.5997391999126397e-05,
781
+ "loss": 2.2017,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 0.37,
786
+ "learning_rate": 4.5936840099960465e-05,
787
+ "loss": 2.2377,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 0.37,
792
+ "learning_rate": 4.587587409740561e-05,
793
+ "loss": 2.1889,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 0.37,
798
+ "learning_rate": 4.581449519728986e-05,
799
+ "loss": 2.202,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 0.38,
804
+ "learning_rate": 4.575270461360779e-05,
805
+ "loss": 2.2038,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 0.38,
810
+ "learning_rate": 4.569050356849655e-05,
811
+ "loss": 2.1918,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 0.38,
816
+ "learning_rate": 4.562789329221169e-05,
817
+ "loss": 2.2356,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 0.39,
822
+ "learning_rate": 4.5564875023102796e-05,
823
+ "loss": 2.2356,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 0.39,
828
+ "learning_rate": 4.550145000758905e-05,
829
+ "loss": 2.2383,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 0.39,
834
+ "learning_rate": 4.543761950013453e-05,
835
+ "loss": 2.238,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 0.39,
840
+ "learning_rate": 4.537338476322341e-05,
841
+ "loss": 2.2153,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 0.4,
846
+ "learning_rate": 4.530874706733502e-05,
847
+ "loss": 2.2484,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 0.4,
852
+ "learning_rate": 4.524370769091866e-05,
853
+ "loss": 2.204,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 0.4,
858
+ "learning_rate": 4.5178267920368366e-05,
859
+ "loss": 2.2408,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 0.4,
864
+ "learning_rate": 4.511242904999746e-05,
865
+ "loss": 2.2172,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 0.41,
870
+ "learning_rate": 4.50461923820129e-05,
871
+ "loss": 2.2467,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 0.41,
876
+ "learning_rate": 4.497955922648961e-05,
877
+ "loss": 2.2417,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 0.41,
882
+ "learning_rate": 4.491253090134447e-05,
883
+ "loss": 2.1996,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 0.42,
888
+ "learning_rate": 4.4845108732310355e-05,
889
+ "loss": 2.2065,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 0.42,
894
+ "learning_rate": 4.4777294052909804e-05,
895
+ "loss": 2.2379,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 0.42,
900
+ "learning_rate": 4.470908820442873e-05,
901
+ "loss": 2.2136,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 0.42,
906
+ "learning_rate": 4.464049253588985e-05,
907
+ "loss": 2.1988,
908
+ "step": 1500
909
+ },
910
+ {
911
+ "epoch": 0.43,
912
+ "learning_rate": 4.457150840402604e-05,
913
+ "loss": 2.2133,
914
+ "step": 1510
915
+ },
916
+ {
917
+ "epoch": 0.43,
918
+ "learning_rate": 4.450213717325343e-05,
919
+ "loss": 2.2173,
920
+ "step": 1520
921
+ },
922
+ {
923
+ "epoch": 0.43,
924
+ "learning_rate": 4.443238021564448e-05,
925
+ "loss": 2.2417,
926
+ "step": 1530
927
+ },
928
+ {
929
+ "epoch": 0.44,
930
+ "learning_rate": 4.4362238910900835e-05,
931
+ "loss": 2.2359,
932
+ "step": 1540
933
+ },
934
+ {
935
+ "epoch": 0.44,
936
+ "learning_rate": 4.4291714646326024e-05,
937
+ "loss": 2.1843,
938
+ "step": 1550
939
+ },
940
+ {
941
+ "epoch": 0.44,
942
+ "learning_rate": 4.4220808816797995e-05,
943
+ "loss": 2.2367,
944
+ "step": 1560
945
+ },
946
+ {
947
+ "epoch": 0.44,
948
+ "learning_rate": 4.414952282474158e-05,
949
+ "loss": 2.2484,
950
+ "step": 1570
951
+ },
952
+ {
953
+ "epoch": 0.45,
954
+ "learning_rate": 4.407785808010073e-05,
955
+ "loss": 2.2269,
956
+ "step": 1580
957
+ },
958
+ {
959
+ "epoch": 0.45,
960
+ "learning_rate": 4.400581600031062e-05,
961
+ "loss": 2.2405,
962
+ "step": 1590
963
+ },
964
+ {
965
+ "epoch": 0.45,
966
+ "learning_rate": 4.3933398010269614e-05,
967
+ "loss": 2.1853,
968
+ "step": 1600
969
+ },
970
+ {
971
+ "epoch": 0.46,
972
+ "learning_rate": 4.386060554231111e-05,
973
+ "loss": 2.1855,
974
+ "step": 1610
975
+ },
976
+ {
977
+ "epoch": 0.46,
978
+ "learning_rate": 4.378744003617517e-05,
979
+ "loss": 2.1776,
980
+ "step": 1620
981
+ },
982
+ {
983
+ "epoch": 0.46,
984
+ "learning_rate": 4.371390293898007e-05,
985
+ "loss": 2.198,
986
+ "step": 1630
987
+ },
988
+ {
989
+ "epoch": 0.46,
990
+ "learning_rate": 4.3639995705193684e-05,
991
+ "loss": 2.2166,
992
+ "step": 1640
993
+ },
994
+ {
995
+ "epoch": 0.47,
996
+ "learning_rate": 4.3565719796604706e-05,
997
+ "loss": 2.1939,
998
+ "step": 1650
999
+ },
1000
+ {
1001
+ "epoch": 0.47,
1002
+ "learning_rate": 4.3491076682293715e-05,
1003
+ "loss": 2.1843,
1004
+ "step": 1660
1005
+ },
1006
+ {
1007
+ "epoch": 0.47,
1008
+ "learning_rate": 4.341606783860416e-05,
1009
+ "loss": 2.1955,
1010
+ "step": 1670
1011
+ },
1012
+ {
1013
+ "epoch": 0.48,
1014
+ "learning_rate": 4.334069474911313e-05,
1015
+ "loss": 2.1792,
1016
+ "step": 1680
1017
+ },
1018
+ {
1019
+ "epoch": 0.48,
1020
+ "learning_rate": 4.326495890460204e-05,
1021
+ "loss": 2.1898,
1022
+ "step": 1690
1023
+ },
1024
+ {
1025
+ "epoch": 0.48,
1026
+ "learning_rate": 4.3188861803027094e-05,
1027
+ "loss": 2.1906,
1028
+ "step": 1700
1029
+ },
1030
+ {
1031
+ "epoch": 0.48,
1032
+ "learning_rate": 4.3112404949489715e-05,
1033
+ "loss": 2.2328,
1034
+ "step": 1710
1035
+ },
1036
+ {
1037
+ "epoch": 0.49,
1038
+ "learning_rate": 4.303558985620673e-05,
1039
+ "loss": 2.2169,
1040
+ "step": 1720
1041
+ },
1042
+ {
1043
+ "epoch": 0.49,
1044
+ "learning_rate": 4.2958418042480506e-05,
1045
+ "loss": 2.1611,
1046
+ "step": 1730
1047
+ },
1048
+ {
1049
+ "epoch": 0.49,
1050
+ "learning_rate": 4.288089103466886e-05,
1051
+ "loss": 2.2076,
1052
+ "step": 1740
1053
+ },
1054
+ {
1055
+ "epoch": 0.5,
1056
+ "learning_rate": 4.280301036615489e-05,
1057
+ "loss": 2.1789,
1058
+ "step": 1750
1059
+ },
1060
+ {
1061
+ "epoch": 0.5,
1062
+ "learning_rate": 4.272477757731662e-05,
1063
+ "loss": 2.2005,
1064
+ "step": 1760
1065
+ },
1066
+ {
1067
+ "epoch": 0.5,
1068
+ "learning_rate": 4.2646194215496595e-05,
1069
+ "loss": 2.1777,
1070
+ "step": 1770
1071
+ },
1072
+ {
1073
+ "epoch": 0.5,
1074
+ "learning_rate": 4.2567261834971206e-05,
1075
+ "loss": 2.1725,
1076
+ "step": 1780
1077
+ },
1078
+ {
1079
+ "epoch": 0.51,
1080
+ "learning_rate": 4.248798199691998e-05,
1081
+ "loss": 2.2078,
1082
+ "step": 1790
1083
+ },
1084
+ {
1085
+ "epoch": 0.51,
1086
+ "learning_rate": 4.2408356269394714e-05,
1087
+ "loss": 2.2008,
1088
+ "step": 1800
1089
+ },
1090
+ {
1091
+ "epoch": 0.51,
1092
+ "learning_rate": 4.2328386227288445e-05,
1093
+ "loss": 2.1663,
1094
+ "step": 1810
1095
+ },
1096
+ {
1097
+ "epoch": 0.52,
1098
+ "learning_rate": 4.224807345230429e-05,
1099
+ "loss": 2.2049,
1100
+ "step": 1820
1101
+ },
1102
+ {
1103
+ "epoch": 0.52,
1104
+ "learning_rate": 4.21674195329242e-05,
1105
+ "loss": 2.1745,
1106
+ "step": 1830
1107
+ },
1108
+ {
1109
+ "epoch": 0.52,
1110
+ "learning_rate": 4.208642606437748e-05,
1111
+ "loss": 2.2407,
1112
+ "step": 1840
1113
+ },
1114
+ {
1115
+ "epoch": 0.52,
1116
+ "learning_rate": 4.2005094648609325e-05,
1117
+ "loss": 2.2048,
1118
+ "step": 1850
1119
+ },
1120
+ {
1121
+ "epoch": 0.53,
1122
+ "learning_rate": 4.192342689424903e-05,
1123
+ "loss": 2.1035,
1124
+ "step": 1860
1125
+ },
1126
+ {
1127
+ "epoch": 0.53,
1128
+ "learning_rate": 4.184142441657827e-05,
1129
+ "loss": 2.2034,
1130
+ "step": 1870
1131
+ },
1132
+ {
1133
+ "epoch": 0.53,
1134
+ "learning_rate": 4.1759088837499095e-05,
1135
+ "loss": 2.2424,
1136
+ "step": 1880
1137
+ },
1138
+ {
1139
+ "epoch": 0.54,
1140
+ "learning_rate": 4.167642178550186e-05,
1141
+ "loss": 2.2036,
1142
+ "step": 1890
1143
+ },
1144
+ {
1145
+ "epoch": 0.54,
1146
+ "learning_rate": 4.159342489563304e-05,
1147
+ "loss": 2.1925,
1148
+ "step": 1900
1149
+ },
1150
+ {
1151
+ "epoch": 0.54,
1152
+ "learning_rate": 4.151009980946287e-05,
1153
+ "loss": 2.1977,
1154
+ "step": 1910
1155
+ },
1156
+ {
1157
+ "epoch": 0.54,
1158
+ "learning_rate": 4.142644817505284e-05,
1159
+ "loss": 2.1568,
1160
+ "step": 1920
1161
+ },
1162
+ {
1163
+ "epoch": 0.55,
1164
+ "learning_rate": 4.1342471646923196e-05,
1165
+ "loss": 2.2062,
1166
+ "step": 1930
1167
+ },
1168
+ {
1169
+ "epoch": 0.55,
1170
+ "learning_rate": 4.1258171886020124e-05,
1171
+ "loss": 2.1841,
1172
+ "step": 1940
1173
+ },
1174
+ {
1175
+ "epoch": 0.55,
1176
+ "learning_rate": 4.117355055968295e-05,
1177
+ "loss": 2.181,
1178
+ "step": 1950
1179
+ },
1180
+ {
1181
+ "epoch": 0.55,
1182
+ "learning_rate": 4.1088609341611135e-05,
1183
+ "loss": 2.1584,
1184
+ "step": 1960
1185
+ },
1186
+ {
1187
+ "epoch": 0.56,
1188
+ "learning_rate": 4.1003349911831166e-05,
1189
+ "loss": 2.2113,
1190
+ "step": 1970
1191
+ },
1192
+ {
1193
+ "epoch": 0.56,
1194
+ "learning_rate": 4.091777395666338e-05,
1195
+ "loss": 2.235,
1196
+ "step": 1980
1197
+ },
1198
+ {
1199
+ "epoch": 0.56,
1200
+ "learning_rate": 4.0831883168688534e-05,
1201
+ "loss": 2.1844,
1202
+ "step": 1990
1203
+ },
1204
+ {
1205
+ "epoch": 0.57,
1206
+ "learning_rate": 4.07456792467144e-05,
1207
+ "loss": 2.2042,
1208
+ "step": 2000
1209
+ },
1210
+ {
1211
+ "epoch": 0.57,
1212
+ "learning_rate": 4.065916389574211e-05,
1213
+ "loss": 2.2178,
1214
+ "step": 2010
1215
+ },
1216
+ {
1217
+ "epoch": 0.57,
1218
+ "learning_rate": 4.057233882693246e-05,
1219
+ "loss": 2.1875,
1220
+ "step": 2020
1221
+ },
1222
+ {
1223
+ "epoch": 0.57,
1224
+ "learning_rate": 4.048520575757207e-05,
1225
+ "loss": 2.1612,
1226
+ "step": 2030
1227
+ },
1228
+ {
1229
+ "epoch": 0.58,
1230
+ "learning_rate": 4.0397766411039395e-05,
1231
+ "loss": 2.1706,
1232
+ "step": 2040
1233
+ },
1234
+ {
1235
+ "epoch": 0.58,
1236
+ "learning_rate": 4.031002251677067e-05,
1237
+ "loss": 2.1786,
1238
+ "step": 2050
1239
+ },
1240
+ {
1241
+ "epoch": 0.58,
1242
+ "learning_rate": 4.022197581022567e-05,
1243
+ "loss": 2.1754,
1244
+ "step": 2060
1245
+ },
1246
+ {
1247
+ "epoch": 0.59,
1248
+ "learning_rate": 4.0133628032853435e-05,
1249
+ "loss": 2.1893,
1250
+ "step": 2070
1251
+ },
1252
+ {
1253
+ "epoch": 0.59,
1254
+ "learning_rate": 4.004498093205773e-05,
1255
+ "loss": 2.142,
1256
+ "step": 2080
1257
+ },
1258
+ {
1259
+ "epoch": 0.59,
1260
+ "learning_rate": 3.99560362611626e-05,
1261
+ "loss": 2.2265,
1262
+ "step": 2090
1263
+ },
1264
+ {
1265
+ "epoch": 0.59,
1266
+ "learning_rate": 3.986679577937762e-05,
1267
+ "loss": 2.1621,
1268
+ "step": 2100
1269
+ },
1270
+ {
1271
+ "epoch": 0.6,
1272
+ "learning_rate": 3.9777261251763145e-05,
1273
+ "loss": 2.1935,
1274
+ "step": 2110
1275
+ },
1276
+ {
1277
+ "epoch": 0.6,
1278
+ "learning_rate": 3.9687434449195316e-05,
1279
+ "loss": 2.2049,
1280
+ "step": 2120
1281
+ },
1282
+ {
1283
+ "epoch": 0.6,
1284
+ "learning_rate": 3.959731714833115e-05,
1285
+ "loss": 2.179,
1286
+ "step": 2130
1287
+ },
1288
+ {
1289
+ "epoch": 0.61,
1290
+ "learning_rate": 3.95069111315733e-05,
1291
+ "loss": 2.1834,
1292
+ "step": 2140
1293
+ },
1294
+ {
1295
+ "epoch": 0.61,
1296
+ "learning_rate": 3.9416218187034876e-05,
1297
+ "loss": 2.2075,
1298
+ "step": 2150
1299
+ },
1300
+ {
1301
+ "epoch": 0.61,
1302
+ "learning_rate": 3.9325240108504016e-05,
1303
+ "loss": 2.2044,
1304
+ "step": 2160
1305
+ },
1306
+ {
1307
+ "epoch": 0.61,
1308
+ "learning_rate": 3.923397869540845e-05,
1309
+ "loss": 2.1615,
1310
+ "step": 2170
1311
+ },
1312
+ {
1313
+ "epoch": 0.62,
1314
+ "learning_rate": 3.91424357527799e-05,
1315
+ "loss": 2.1678,
1316
+ "step": 2180
1317
+ },
1318
+ {
1319
+ "epoch": 0.62,
1320
+ "learning_rate": 3.905061309121837e-05,
1321
+ "loss": 2.1597,
1322
+ "step": 2190
1323
+ },
1324
+ {
1325
+ "epoch": 0.62,
1326
+ "learning_rate": 3.895851252685634e-05,
1327
+ "loss": 2.1487,
1328
+ "step": 2200
1329
+ },
1330
+ {
1331
+ "epoch": 0.63,
1332
+ "learning_rate": 3.886613588132284e-05,
1333
+ "loss": 2.2268,
1334
+ "step": 2210
1335
+ },
1336
+ {
1337
+ "epoch": 0.63,
1338
+ "learning_rate": 3.877348498170743e-05,
1339
+ "loss": 2.1913,
1340
+ "step": 2220
1341
+ },
1342
+ {
1343
+ "epoch": 0.63,
1344
+ "learning_rate": 3.868056166052407e-05,
1345
+ "loss": 2.185,
1346
+ "step": 2230
1347
+ },
1348
+ {
1349
+ "epoch": 0.63,
1350
+ "learning_rate": 3.858736775567484e-05,
1351
+ "loss": 2.1779,
1352
+ "step": 2240
1353
+ },
1354
+ {
1355
+ "epoch": 0.64,
1356
+ "learning_rate": 3.8493905110413626e-05,
1357
+ "loss": 2.1733,
1358
+ "step": 2250
1359
+ },
1360
+ {
1361
+ "epoch": 0.64,
1362
+ "learning_rate": 3.8400175573309646e-05,
1363
+ "loss": 2.1982,
1364
+ "step": 2260
1365
+ },
1366
+ {
1367
+ "epoch": 0.64,
1368
+ "learning_rate": 3.83061809982109e-05,
1369
+ "loss": 2.1871,
1370
+ "step": 2270
1371
+ },
1372
+ {
1373
+ "epoch": 0.65,
1374
+ "learning_rate": 3.821192324420747e-05,
1375
+ "loss": 2.2081,
1376
+ "step": 2280
1377
+ },
1378
+ {
1379
+ "epoch": 0.65,
1380
+ "learning_rate": 3.8117404175594795e-05,
1381
+ "loss": 2.2318,
1382
+ "step": 2290
1383
+ },
1384
+ {
1385
+ "epoch": 0.65,
1386
+ "learning_rate": 3.8022625661836775e-05,
1387
+ "loss": 2.1611,
1388
+ "step": 2300
1389
+ },
1390
+ {
1391
+ "epoch": 0.65,
1392
+ "learning_rate": 3.792758957752879e-05,
1393
+ "loss": 2.1715,
1394
+ "step": 2310
1395
+ },
1396
+ {
1397
+ "epoch": 0.66,
1398
+ "learning_rate": 3.783229780236062e-05,
1399
+ "loss": 2.1816,
1400
+ "step": 2320
1401
+ },
1402
+ {
1403
+ "epoch": 0.66,
1404
+ "learning_rate": 3.773675222107929e-05,
1405
+ "loss": 2.1705,
1406
+ "step": 2330
1407
+ },
1408
+ {
1409
+ "epoch": 0.66,
1410
+ "learning_rate": 3.7640954723451784e-05,
1411
+ "loss": 2.1688,
1412
+ "step": 2340
1413
+ },
1414
+ {
1415
+ "epoch": 0.67,
1416
+ "learning_rate": 3.7544907204227646e-05,
1417
+ "loss": 2.1511,
1418
+ "step": 2350
1419
+ },
1420
+ {
1421
+ "epoch": 0.67,
1422
+ "learning_rate": 3.7448611563101536e-05,
1423
+ "loss": 2.1671,
1424
+ "step": 2360
1425
+ },
1426
+ {
1427
+ "epoch": 0.67,
1428
+ "learning_rate": 3.735206970467564e-05,
1429
+ "loss": 2.1663,
1430
+ "step": 2370
1431
+ },
1432
+ {
1433
+ "epoch": 0.67,
1434
+ "learning_rate": 3.7255283538421984e-05,
1435
+ "loss": 2.1824,
1436
+ "step": 2380
1437
+ },
1438
+ {
1439
+ "epoch": 0.68,
1440
+ "learning_rate": 3.7158254978644703e-05,
1441
+ "loss": 2.1788,
1442
+ "step": 2390
1443
+ },
1444
+ {
1445
+ "epoch": 0.68,
1446
+ "learning_rate": 3.706098594444216e-05,
1447
+ "loss": 2.1394,
1448
+ "step": 2400
1449
+ },
1450
+ {
1451
+ "epoch": 0.68,
1452
+ "learning_rate": 3.6963478359668966e-05,
1453
+ "loss": 2.2013,
1454
+ "step": 2410
1455
+ },
1456
+ {
1457
+ "epoch": 0.69,
1458
+ "learning_rate": 3.6865734152897987e-05,
1459
+ "loss": 2.1638,
1460
+ "step": 2420
1461
+ },
1462
+ {
1463
+ "epoch": 0.69,
1464
+ "learning_rate": 3.676775525738213e-05,
1465
+ "loss": 2.1814,
1466
+ "step": 2430
1467
+ },
1468
+ {
1469
+ "epoch": 0.69,
1470
+ "learning_rate": 3.666954361101616e-05,
1471
+ "loss": 2.1763,
1472
+ "step": 2440
1473
+ },
1474
+ {
1475
+ "epoch": 0.69,
1476
+ "learning_rate": 3.657110115629832e-05,
1477
+ "loss": 2.1531,
1478
+ "step": 2450
1479
+ },
1480
+ {
1481
+ "epoch": 0.7,
1482
+ "learning_rate": 3.647242984029201e-05,
1483
+ "loss": 2.1862,
1484
+ "step": 2460
1485
+ },
1486
+ {
1487
+ "epoch": 0.7,
1488
+ "learning_rate": 3.637353161458713e-05,
1489
+ "loss": 2.1611,
1490
+ "step": 2470
1491
+ },
1492
+ {
1493
+ "epoch": 0.7,
1494
+ "learning_rate": 3.627440843526158e-05,
1495
+ "loss": 2.1733,
1496
+ "step": 2480
1497
+ },
1498
+ {
1499
+ "epoch": 0.7,
1500
+ "learning_rate": 3.6175062262842585e-05,
1501
+ "loss": 2.1816,
1502
+ "step": 2490
1503
+ },
1504
+ {
1505
+ "epoch": 0.71,
1506
+ "learning_rate": 3.607549506226784e-05,
1507
+ "loss": 2.1653,
1508
+ "step": 2500
1509
+ },
1510
+ {
1511
+ "epoch": 0.71,
1512
+ "learning_rate": 3.5975708802846725e-05,
1513
+ "loss": 2.1777,
1514
+ "step": 2510
1515
+ },
1516
+ {
1517
+ "epoch": 0.71,
1518
+ "learning_rate": 3.587570545822128e-05,
1519
+ "loss": 2.189,
1520
+ "step": 2520
1521
+ },
1522
+ {
1523
+ "epoch": 0.72,
1524
+ "learning_rate": 3.5775487006327215e-05,
1525
+ "loss": 2.1875,
1526
+ "step": 2530
1527
+ },
1528
+ {
1529
+ "epoch": 0.72,
1530
+ "learning_rate": 3.567505542935482e-05,
1531
+ "loss": 2.1751,
1532
+ "step": 2540
1533
+ },
1534
+ {
1535
+ "epoch": 0.72,
1536
+ "learning_rate": 3.557441271370968e-05,
1537
+ "loss": 2.1778,
1538
+ "step": 2550
1539
+ },
1540
+ {
1541
+ "epoch": 0.72,
1542
+ "learning_rate": 3.547356084997344e-05,
1543
+ "loss": 2.1934,
1544
+ "step": 2560
1545
+ },
1546
+ {
1547
+ "epoch": 0.73,
1548
+ "learning_rate": 3.537250183286443e-05,
1549
+ "loss": 2.1308,
1550
+ "step": 2570
1551
+ },
1552
+ {
1553
+ "epoch": 0.73,
1554
+ "learning_rate": 3.527123766119818e-05,
1555
+ "loss": 2.1722,
1556
+ "step": 2580
1557
+ },
1558
+ {
1559
+ "epoch": 0.73,
1560
+ "learning_rate": 3.5169770337847935e-05,
1561
+ "loss": 2.1744,
1562
+ "step": 2590
1563
+ },
1564
+ {
1565
+ "epoch": 0.74,
1566
+ "learning_rate": 3.5068101869705004e-05,
1567
+ "loss": 2.2074,
1568
+ "step": 2600
1569
+ },
1570
+ {
1571
+ "epoch": 0.74,
1572
+ "learning_rate": 3.496623426763908e-05,
1573
+ "loss": 2.1795,
1574
+ "step": 2610
1575
+ },
1576
+ {
1577
+ "epoch": 0.74,
1578
+ "learning_rate": 3.486416954645846e-05,
1579
+ "loss": 2.1539,
1580
+ "step": 2620
1581
+ },
1582
+ {
1583
+ "epoch": 0.74,
1584
+ "learning_rate": 3.4761909724870205e-05,
1585
+ "loss": 2.1723,
1586
+ "step": 2630
1587
+ },
1588
+ {
1589
+ "epoch": 0.75,
1590
+ "learning_rate": 3.4659456825440216e-05,
1591
+ "loss": 2.1858,
1592
+ "step": 2640
1593
+ },
1594
+ {
1595
+ "epoch": 0.75,
1596
+ "learning_rate": 3.4556812874553204e-05,
1597
+ "loss": 2.199,
1598
+ "step": 2650
1599
+ },
1600
+ {
1601
+ "epoch": 0.75,
1602
+ "learning_rate": 3.445397990237264e-05,
1603
+ "loss": 2.202,
1604
+ "step": 2660
1605
+ },
1606
+ {
1607
+ "epoch": 0.76,
1608
+ "learning_rate": 3.4350959942800584e-05,
1609
+ "loss": 2.1559,
1610
+ "step": 2670
1611
+ },
1612
+ {
1613
+ "epoch": 0.76,
1614
+ "learning_rate": 3.424775503343747e-05,
1615
+ "loss": 2.1746,
1616
+ "step": 2680
1617
+ },
1618
+ {
1619
+ "epoch": 0.76,
1620
+ "learning_rate": 3.414436721554179e-05,
1621
+ "loss": 2.1608,
1622
+ "step": 2690
1623
+ },
1624
+ {
1625
+ "epoch": 0.76,
1626
+ "learning_rate": 3.4040798533989745e-05,
1627
+ "loss": 2.1568,
1628
+ "step": 2700
1629
+ },
1630
+ {
1631
+ "epoch": 0.77,
1632
+ "learning_rate": 3.3937051037234745e-05,
1633
+ "loss": 2.1469,
1634
+ "step": 2710
1635
+ },
1636
+ {
1637
+ "epoch": 0.77,
1638
+ "learning_rate": 3.3833126777266974e-05,
1639
+ "loss": 2.1815,
1640
+ "step": 2720
1641
+ },
1642
+ {
1643
+ "epoch": 0.77,
1644
+ "learning_rate": 3.3729027809572735e-05,
1645
+ "loss": 2.1938,
1646
+ "step": 2730
1647
+ },
1648
+ {
1649
+ "epoch": 0.78,
1650
+ "learning_rate": 3.3624756193093835e-05,
1651
+ "loss": 2.1436,
1652
+ "step": 2740
1653
+ },
1654
+ {
1655
+ "epoch": 0.78,
1656
+ "learning_rate": 3.3520313990186856e-05,
1657
+ "loss": 2.1679,
1658
+ "step": 2750
1659
+ },
1660
+ {
1661
+ "epoch": 0.78,
1662
+ "learning_rate": 3.341570326658232e-05,
1663
+ "loss": 2.1419,
1664
+ "step": 2760
1665
+ },
1666
+ {
1667
+ "epoch": 0.78,
1668
+ "learning_rate": 3.331092609134392e-05,
1669
+ "loss": 2.1654,
1670
+ "step": 2770
1671
+ },
1672
+ {
1673
+ "epoch": 0.79,
1674
+ "learning_rate": 3.32059845368275e-05,
1675
+ "loss": 2.1549,
1676
+ "step": 2780
1677
+ },
1678
+ {
1679
+ "epoch": 0.79,
1680
+ "learning_rate": 3.310088067864015e-05,
1681
+ "loss": 2.1673,
1682
+ "step": 2790
1683
+ },
1684
+ {
1685
+ "epoch": 0.79,
1686
+ "learning_rate": 3.299561659559909e-05,
1687
+ "loss": 2.1571,
1688
+ "step": 2800
1689
+ },
1690
+ {
1691
+ "epoch": 0.8,
1692
+ "learning_rate": 3.289019436969057e-05,
1693
+ "loss": 2.1475,
1694
+ "step": 2810
1695
+ },
1696
+ {
1697
+ "epoch": 0.8,
1698
+ "learning_rate": 3.278461608602873e-05,
1699
+ "loss": 2.171,
1700
+ "step": 2820
1701
+ },
1702
+ {
1703
+ "epoch": 0.8,
1704
+ "learning_rate": 3.267888383281431e-05,
1705
+ "loss": 2.1774,
1706
+ "step": 2830
1707
+ },
1708
+ {
1709
+ "epoch": 0.8,
1710
+ "learning_rate": 3.257299970129336e-05,
1711
+ "loss": 2.1624,
1712
+ "step": 2840
1713
+ },
1714
+ {
1715
+ "epoch": 0.81,
1716
+ "learning_rate": 3.246696578571592e-05,
1717
+ "loss": 2.1492,
1718
+ "step": 2850
1719
+ },
1720
+ {
1721
+ "epoch": 0.81,
1722
+ "learning_rate": 3.236078418329452e-05,
1723
+ "loss": 2.2018,
1724
+ "step": 2860
1725
+ },
1726
+ {
1727
+ "epoch": 0.81,
1728
+ "learning_rate": 3.225445699416276e-05,
1729
+ "loss": 2.1521,
1730
+ "step": 2870
1731
+ },
1732
+ {
1733
+ "epoch": 0.82,
1734
+ "learning_rate": 3.214798632133376e-05,
1735
+ "loss": 2.1719,
1736
+ "step": 2880
1737
+ },
1738
+ {
1739
+ "epoch": 0.82,
1740
+ "learning_rate": 3.204137427065857e-05,
1741
+ "loss": 2.1807,
1742
+ "step": 2890
1743
+ },
1744
+ {
1745
+ "epoch": 0.82,
1746
+ "learning_rate": 3.193462295078448e-05,
1747
+ "loss": 2.1755,
1748
+ "step": 2900
1749
+ },
1750
+ {
1751
+ "epoch": 0.82,
1752
+ "learning_rate": 3.1827734473113356e-05,
1753
+ "loss": 2.1715,
1754
+ "step": 2910
1755
+ },
1756
+ {
1757
+ "epoch": 0.83,
1758
+ "learning_rate": 3.172071095175989e-05,
1759
+ "loss": 2.1799,
1760
+ "step": 2920
1761
+ },
1762
+ {
1763
+ "epoch": 0.83,
1764
+ "learning_rate": 3.1613554503509715e-05,
1765
+ "loss": 2.1348,
1766
+ "step": 2930
1767
+ },
1768
+ {
1769
+ "epoch": 0.83,
1770
+ "learning_rate": 3.1506267247777645e-05,
1771
+ "loss": 2.1886,
1772
+ "step": 2940
1773
+ },
1774
+ {
1775
+ "epoch": 0.84,
1776
+ "learning_rate": 3.139885130656563e-05,
1777
+ "loss": 2.1249,
1778
+ "step": 2950
1779
+ },
1780
+ {
1781
+ "epoch": 0.84,
1782
+ "learning_rate": 3.129130880442091e-05,
1783
+ "loss": 2.1562,
1784
+ "step": 2960
1785
+ },
1786
+ {
1787
+ "epoch": 0.84,
1788
+ "learning_rate": 3.118364186839389e-05,
1789
+ "loss": 2.1613,
1790
+ "step": 2970
1791
+ },
1792
+ {
1793
+ "epoch": 0.84,
1794
+ "learning_rate": 3.107585262799613e-05,
1795
+ "loss": 2.1353,
1796
+ "step": 2980
1797
+ },
1798
+ {
1799
+ "epoch": 0.85,
1800
+ "learning_rate": 3.096794321515823e-05,
1801
+ "loss": 2.2067,
1802
+ "step": 2990
1803
+ },
1804
+ {
1805
+ "epoch": 0.85,
1806
+ "learning_rate": 3.0859915764187616e-05,
1807
+ "loss": 2.1776,
1808
+ "step": 3000
1809
+ }
1810
+ ],
1811
+ "max_steps": 7064,
1812
+ "num_train_epochs": 2,
1813
+ "total_flos": 7.646314119938703e+17,
1814
+ "trial_name": null,
1815
+ "trial_params": null
1816
+ }
checkpoint-3000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8376ab4f660d91b0c627b8b282ba54c15b50ded5dfc111311062d642a6fb321b
3
+ size 3257
checkpoint-4000/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
checkpoint-4000/adapter_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "THUDM/chatglm-6b",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 32.0,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "query_key_value"
17
+ ],
18
+ "task_type": "CAUSAL_LM"
19
+ }
checkpoint-4000/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:721c33da6c1f53d0fe94c068338ab8d42c92dc2dd6210514060a86488b9f7b26
3
+ size 14700057
checkpoint-4000/finetuning_args.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "finetuning_type": "lora",
3
+ "lora_alpha": 32.0,
4
+ "lora_dropout": 0.1,
5
+ "lora_rank": 8,
6
+ "lora_target": [
7
+ "query_key_value"
8
+ ],
9
+ "name_module_trainable": "mlp",
10
+ "num_layer_trainable": 3,
11
+ "pre_seq_len": 16,
12
+ "prefix_projection": false
13
+ }
checkpoint-4000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45e0eb971eae246af6887357df02872db79572c31c6390f1c18562f98980315c
3
+ size 29407173
checkpoint-4000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9b069097bf8bc8be7ae481f4610e5cf903ac965cb7d5d4777a8f9232fd3a780
3
+ size 18679
checkpoint-4000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f376de42d13d36c0a88a4f0b3d9ae8fdc430c775a1e98efca121f803c11c2fd
3
+ size 18679
checkpoint-4000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f706c8e0fdd8d642cc63c2df007f7e3ff81e7deb223d67c793cebaddc830ddd3
3
+ size 18679
checkpoint-4000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05b5808961312d8f35a37e92394b6b2c7da83693fff33fa8eaede58423186c72
3
+ size 18679
checkpoint-4000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faf7e35bc1d9d6e77c904ac697970bf3fe9271b75c118e224f479ab9fa296d48
3
+ size 627