wangrongsheng commited on
Commit
0940fae
·
verified ·
1 Parent(s): ecd34bf

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,3 +1,3 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
1
+ ---
2
+ license: apache-2.0
3
+ ---
adapter_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/root/autodl-tmp/Baichuan-M1-14B-Instruct",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": false,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.1,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 16,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "W_pack",
27
+ "gate_proj",
28
+ "up_proj",
29
+ "down_proj",
30
+ "o_proj"
31
+ ],
32
+ "task_type": "CAUSAL_LM",
33
+ "use_dora": false,
34
+ "use_rslora": false
35
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a238c0e1343f1a6b62af2c467f843e3eae4af0cbb239ba4e7145297ed5d7738
3
+ size 229429600
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3917a15c0d17b3e270f79d827c2738ac9350c87f8edbc6ee0e420a70fa1574e2
3
+ size 459089602
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a15993cad901dc5280fe73952d778614791cf68373eadc2f1a256a37bca2505f
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd0991e79159ea97a3cbedcd65d3728a0a322a29100cc8b6d96d2321a28da7fb
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,1433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.07272727272727272,
5
+ "eval_steps": 500,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0003636363636363636,
13
+ "grad_norm": 0.47871133685112,
14
+ "learning_rate": 4.999090909090909e-05,
15
+ "loss": 1.4412,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.0007272727272727272,
20
+ "grad_norm": 0.4764420688152313,
21
+ "learning_rate": 4.998181818181818e-05,
22
+ "loss": 1.3082,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.001090909090909091,
27
+ "grad_norm": 0.6560420989990234,
28
+ "learning_rate": 4.997272727272728e-05,
29
+ "loss": 1.3592,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.0014545454545454545,
34
+ "grad_norm": 0.7296062111854553,
35
+ "learning_rate": 4.996363636363637e-05,
36
+ "loss": 1.1219,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.0018181818181818182,
41
+ "grad_norm": 0.46472349762916565,
42
+ "learning_rate": 4.995454545454546e-05,
43
+ "loss": 1.0707,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.002181818181818182,
48
+ "grad_norm": 0.5377005338668823,
49
+ "learning_rate": 4.994545454545454e-05,
50
+ "loss": 1.1453,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.0025454545454545456,
55
+ "grad_norm": 0.5077579021453857,
56
+ "learning_rate": 4.993636363636364e-05,
57
+ "loss": 1.1129,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.002909090909090909,
62
+ "grad_norm": 0.5722835063934326,
63
+ "learning_rate": 4.992727272727273e-05,
64
+ "loss": 1.1029,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.0032727272727272726,
69
+ "grad_norm": 0.5486398339271545,
70
+ "learning_rate": 4.991818181818182e-05,
71
+ "loss": 1.0021,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.0036363636363636364,
76
+ "grad_norm": 0.6710432171821594,
77
+ "learning_rate": 4.990909090909091e-05,
78
+ "loss": 1.0766,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.004,
83
+ "grad_norm": 0.45256921648979187,
84
+ "learning_rate": 4.99e-05,
85
+ "loss": 1.0424,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.004363636363636364,
90
+ "grad_norm": 0.5884903073310852,
91
+ "learning_rate": 4.98909090909091e-05,
92
+ "loss": 1.1271,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.0047272727272727275,
97
+ "grad_norm": 0.8489357233047485,
98
+ "learning_rate": 4.988181818181819e-05,
99
+ "loss": 1.1285,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.005090909090909091,
104
+ "grad_norm": 0.6435407996177673,
105
+ "learning_rate": 4.987272727272728e-05,
106
+ "loss": 1.1967,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.005454545454545455,
111
+ "grad_norm": 0.5722768306732178,
112
+ "learning_rate": 4.986363636363637e-05,
113
+ "loss": 1.0342,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.005818181818181818,
118
+ "grad_norm": 0.4862392544746399,
119
+ "learning_rate": 4.985454545454546e-05,
120
+ "loss": 0.9976,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.0061818181818181816,
125
+ "grad_norm": 0.7204858064651489,
126
+ "learning_rate": 4.984545454545455e-05,
127
+ "loss": 1.0818,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.006545454545454545,
132
+ "grad_norm": 0.727836549282074,
133
+ "learning_rate": 4.983636363636364e-05,
134
+ "loss": 1.0893,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.006909090909090909,
139
+ "grad_norm": 0.4965401589870453,
140
+ "learning_rate": 4.982727272727273e-05,
141
+ "loss": 1.01,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.007272727272727273,
146
+ "grad_norm": 0.6770114898681641,
147
+ "learning_rate": 4.981818181818182e-05,
148
+ "loss": 0.9949,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.0076363636363636364,
153
+ "grad_norm": 0.795165479183197,
154
+ "learning_rate": 4.980909090909091e-05,
155
+ "loss": 1.1506,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.008,
160
+ "grad_norm": 0.7894571423530579,
161
+ "learning_rate": 4.9800000000000004e-05,
162
+ "loss": 1.0309,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.008363636363636363,
167
+ "grad_norm": 0.9198132753372192,
168
+ "learning_rate": 4.9790909090909094e-05,
169
+ "loss": 0.9611,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.008727272727272728,
174
+ "grad_norm": 0.8672171831130981,
175
+ "learning_rate": 4.9781818181818184e-05,
176
+ "loss": 1.1689,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.00909090909090909,
181
+ "grad_norm": 0.6119312644004822,
182
+ "learning_rate": 4.9772727272727275e-05,
183
+ "loss": 0.9891,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.009454545454545455,
188
+ "grad_norm": 0.7098168134689331,
189
+ "learning_rate": 4.9763636363636365e-05,
190
+ "loss": 0.9369,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.009818181818181818,
195
+ "grad_norm": 0.7419410347938538,
196
+ "learning_rate": 4.975454545454546e-05,
197
+ "loss": 1.0293,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.010181818181818183,
202
+ "grad_norm": 0.6659941673278809,
203
+ "learning_rate": 4.9745454545454545e-05,
204
+ "loss": 1.0936,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.010545454545454545,
209
+ "grad_norm": 0.8974291682243347,
210
+ "learning_rate": 4.9736363636363635e-05,
211
+ "loss": 1.1088,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.01090909090909091,
216
+ "grad_norm": 0.7319221496582031,
217
+ "learning_rate": 4.9727272727272725e-05,
218
+ "loss": 0.9916,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.011272727272727273,
223
+ "grad_norm": 0.9040235280990601,
224
+ "learning_rate": 4.971818181818182e-05,
225
+ "loss": 1.1141,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.011636363636363636,
230
+ "grad_norm": 0.7666190266609192,
231
+ "learning_rate": 4.970909090909091e-05,
232
+ "loss": 1.0309,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.012,
237
+ "grad_norm": 0.7975471615791321,
238
+ "learning_rate": 4.97e-05,
239
+ "loss": 1.0,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.012363636363636363,
244
+ "grad_norm": 0.7558386325836182,
245
+ "learning_rate": 4.969090909090909e-05,
246
+ "loss": 1.1283,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.012727272727272728,
251
+ "grad_norm": 0.76316899061203,
252
+ "learning_rate": 4.968181818181818e-05,
253
+ "loss": 1.01,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.01309090909090909,
258
+ "grad_norm": 0.5065900683403015,
259
+ "learning_rate": 4.967272727272728e-05,
260
+ "loss": 1.002,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.013454545454545455,
265
+ "grad_norm": 1.0256422758102417,
266
+ "learning_rate": 4.966363636363637e-05,
267
+ "loss": 1.0912,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.013818181818181818,
272
+ "grad_norm": 0.734935998916626,
273
+ "learning_rate": 4.965454545454546e-05,
274
+ "loss": 1.102,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.014181818181818183,
279
+ "grad_norm": 0.6911085844039917,
280
+ "learning_rate": 4.964545454545455e-05,
281
+ "loss": 1.0479,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.014545454545454545,
286
+ "grad_norm": 0.778714120388031,
287
+ "learning_rate": 4.963636363636364e-05,
288
+ "loss": 1.0379,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.014909090909090908,
293
+ "grad_norm": 0.6882097721099854,
294
+ "learning_rate": 4.962727272727273e-05,
295
+ "loss": 0.9732,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.015272727272727273,
300
+ "grad_norm": 0.747656524181366,
301
+ "learning_rate": 4.961818181818182e-05,
302
+ "loss": 1.0602,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.015636363636363636,
307
+ "grad_norm": 0.7968394160270691,
308
+ "learning_rate": 4.960909090909091e-05,
309
+ "loss": 1.1314,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.016,
314
+ "grad_norm": 0.9477614760398865,
315
+ "learning_rate": 4.96e-05,
316
+ "loss": 1.0488,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.016363636363636365,
321
+ "grad_norm": 0.7730783820152283,
322
+ "learning_rate": 4.9590909090909096e-05,
323
+ "loss": 1.1314,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.016727272727272726,
328
+ "grad_norm": 1.1297029256820679,
329
+ "learning_rate": 4.9581818181818186e-05,
330
+ "loss": 1.0943,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.01709090909090909,
335
+ "grad_norm": 0.7387447357177734,
336
+ "learning_rate": 4.9572727272727276e-05,
337
+ "loss": 1.0711,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.017454545454545455,
342
+ "grad_norm": 0.5228479504585266,
343
+ "learning_rate": 4.9563636363636367e-05,
344
+ "loss": 1.0711,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.01781818181818182,
349
+ "grad_norm": 0.5137602090835571,
350
+ "learning_rate": 4.9554545454545457e-05,
351
+ "loss": 0.9242,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.01818181818181818,
356
+ "grad_norm": 0.859491229057312,
357
+ "learning_rate": 4.9545454545454553e-05,
358
+ "loss": 1.124,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.018545454545454546,
363
+ "grad_norm": 0.7495261430740356,
364
+ "learning_rate": 4.953636363636364e-05,
365
+ "loss": 1.1184,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.01890909090909091,
370
+ "grad_norm": 0.8758722543716431,
371
+ "learning_rate": 4.952727272727273e-05,
372
+ "loss": 1.1215,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.01927272727272727,
377
+ "grad_norm": 0.7047644257545471,
378
+ "learning_rate": 4.951818181818182e-05,
379
+ "loss": 1.0416,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.019636363636363636,
384
+ "grad_norm": 0.9179386496543884,
385
+ "learning_rate": 4.9509090909090914e-05,
386
+ "loss": 1.0404,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.02,
391
+ "grad_norm": 0.8945435881614685,
392
+ "learning_rate": 4.9500000000000004e-05,
393
+ "loss": 1.0211,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.020363636363636365,
398
+ "grad_norm": 0.49766021966934204,
399
+ "learning_rate": 4.9490909090909094e-05,
400
+ "loss": 0.9262,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.020727272727272726,
405
+ "grad_norm": 0.8015190958976746,
406
+ "learning_rate": 4.9481818181818184e-05,
407
+ "loss": 1.085,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.02109090909090909,
412
+ "grad_norm": 0.8135480284690857,
413
+ "learning_rate": 4.9472727272727274e-05,
414
+ "loss": 0.9673,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.021454545454545455,
419
+ "grad_norm": 0.7892040610313416,
420
+ "learning_rate": 4.946363636363637e-05,
421
+ "loss": 1.0301,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.02181818181818182,
426
+ "grad_norm": 0.6644595265388489,
427
+ "learning_rate": 4.945454545454546e-05,
428
+ "loss": 0.9969,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.02218181818181818,
433
+ "grad_norm": 0.6504725813865662,
434
+ "learning_rate": 4.944545454545455e-05,
435
+ "loss": 1.0686,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.022545454545454546,
440
+ "grad_norm": 0.5474579930305481,
441
+ "learning_rate": 4.9436363636363634e-05,
442
+ "loss": 1.0338,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.02290909090909091,
447
+ "grad_norm": 1.133872151374817,
448
+ "learning_rate": 4.9427272727272724e-05,
449
+ "loss": 1.0355,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.02327272727272727,
454
+ "grad_norm": 0.9010602235794067,
455
+ "learning_rate": 4.941818181818182e-05,
456
+ "loss": 1.0205,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.023636363636363636,
461
+ "grad_norm": 0.6271716952323914,
462
+ "learning_rate": 4.940909090909091e-05,
463
+ "loss": 0.9688,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.024,
468
+ "grad_norm": 0.7340686917304993,
469
+ "learning_rate": 4.94e-05,
470
+ "loss": 1.058,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.024363636363636365,
475
+ "grad_norm": 0.9811447262763977,
476
+ "learning_rate": 4.939090909090909e-05,
477
+ "loss": 1.0941,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.024727272727272726,
482
+ "grad_norm": 0.8026047348976135,
483
+ "learning_rate": 4.938181818181818e-05,
484
+ "loss": 1.0148,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.02509090909090909,
489
+ "grad_norm": 0.8320631980895996,
490
+ "learning_rate": 4.937272727272728e-05,
491
+ "loss": 1.0332,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.025454545454545455,
496
+ "grad_norm": 1.0077319145202637,
497
+ "learning_rate": 4.936363636363637e-05,
498
+ "loss": 0.882,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.025818181818181817,
503
+ "grad_norm": 0.792972981929779,
504
+ "learning_rate": 4.935454545454546e-05,
505
+ "loss": 0.9613,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.02618181818181818,
510
+ "grad_norm": 0.9640710353851318,
511
+ "learning_rate": 4.934545454545455e-05,
512
+ "loss": 0.9879,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.026545454545454546,
517
+ "grad_norm": 0.6762244701385498,
518
+ "learning_rate": 4.933636363636364e-05,
519
+ "loss": 0.9643,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.02690909090909091,
524
+ "grad_norm": 0.8114360570907593,
525
+ "learning_rate": 4.932727272727273e-05,
526
+ "loss": 1.0049,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.02727272727272727,
531
+ "grad_norm": 0.6531985998153687,
532
+ "learning_rate": 4.931818181818182e-05,
533
+ "loss": 0.9141,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.027636363636363636,
538
+ "grad_norm": 0.846741795539856,
539
+ "learning_rate": 4.930909090909091e-05,
540
+ "loss": 0.9738,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.028,
545
+ "grad_norm": 0.8146620392799377,
546
+ "learning_rate": 4.93e-05,
547
+ "loss": 1.0508,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.028363636363636365,
552
+ "grad_norm": 0.8905590176582336,
553
+ "learning_rate": 4.9290909090909096e-05,
554
+ "loss": 0.9883,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.028727272727272726,
559
+ "grad_norm": 0.820004403591156,
560
+ "learning_rate": 4.9281818181818186e-05,
561
+ "loss": 1.1111,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.02909090909090909,
566
+ "grad_norm": 0.6964171528816223,
567
+ "learning_rate": 4.9272727272727276e-05,
568
+ "loss": 0.9889,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.029454545454545455,
573
+ "grad_norm": 0.7463963627815247,
574
+ "learning_rate": 4.9263636363636366e-05,
575
+ "loss": 1.0017,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.029818181818181817,
580
+ "grad_norm": 1.1425820589065552,
581
+ "learning_rate": 4.9254545454545456e-05,
582
+ "loss": 1.0291,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.03018181818181818,
587
+ "grad_norm": 0.8121577501296997,
588
+ "learning_rate": 4.924545454545455e-05,
589
+ "loss": 1.1896,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.030545454545454546,
594
+ "grad_norm": 0.7760348320007324,
595
+ "learning_rate": 4.9236363636363636e-05,
596
+ "loss": 1.0086,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.03090909090909091,
601
+ "grad_norm": 1.0461779832839966,
602
+ "learning_rate": 4.9227272727272726e-05,
603
+ "loss": 1.067,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.03127272727272727,
608
+ "grad_norm": 0.7449011206626892,
609
+ "learning_rate": 4.9218181818181816e-05,
610
+ "loss": 0.9166,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.031636363636363636,
615
+ "grad_norm": 0.8614558577537537,
616
+ "learning_rate": 4.920909090909091e-05,
617
+ "loss": 1.0984,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.032,
622
+ "grad_norm": 0.9124776721000671,
623
+ "learning_rate": 4.92e-05,
624
+ "loss": 0.9428,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.032363636363636365,
629
+ "grad_norm": 0.7346855998039246,
630
+ "learning_rate": 4.919090909090909e-05,
631
+ "loss": 0.9891,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.03272727272727273,
636
+ "grad_norm": 0.6888474822044373,
637
+ "learning_rate": 4.9181818181818183e-05,
638
+ "loss": 1.1186,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.03309090909090909,
643
+ "grad_norm": 0.5666208267211914,
644
+ "learning_rate": 4.9172727272727273e-05,
645
+ "loss": 0.9862,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.03345454545454545,
650
+ "grad_norm": 0.6969447731971741,
651
+ "learning_rate": 4.916363636363637e-05,
652
+ "loss": 1.09,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.03381818181818182,
657
+ "grad_norm": 0.7007094025611877,
658
+ "learning_rate": 4.915454545454546e-05,
659
+ "loss": 0.9951,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.03418181818181818,
664
+ "grad_norm": 0.8678598999977112,
665
+ "learning_rate": 4.914545454545455e-05,
666
+ "loss": 0.9574,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.034545454545454546,
671
+ "grad_norm": 0.6946694850921631,
672
+ "learning_rate": 4.913636363636364e-05,
673
+ "loss": 1.0867,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.03490909090909091,
678
+ "grad_norm": 0.7773414254188538,
679
+ "learning_rate": 4.912727272727273e-05,
680
+ "loss": 1.0025,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.035272727272727275,
685
+ "grad_norm": 0.8114984631538391,
686
+ "learning_rate": 4.911818181818182e-05,
687
+ "loss": 0.9855,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.03563636363636364,
692
+ "grad_norm": 0.6157673597335815,
693
+ "learning_rate": 4.910909090909091e-05,
694
+ "loss": 0.9988,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.036,
699
+ "grad_norm": 0.8051506280899048,
700
+ "learning_rate": 4.91e-05,
701
+ "loss": 0.9818,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.03636363636363636,
706
+ "grad_norm": 0.8241102695465088,
707
+ "learning_rate": 4.909090909090909e-05,
708
+ "loss": 0.9893,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.036727272727272726,
713
+ "grad_norm": 0.7396079897880554,
714
+ "learning_rate": 4.908181818181818e-05,
715
+ "loss": 0.9775,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 0.03709090909090909,
720
+ "grad_norm": 0.730338454246521,
721
+ "learning_rate": 4.907272727272728e-05,
722
+ "loss": 1.0172,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 0.037454545454545456,
727
+ "grad_norm": 0.9117375016212463,
728
+ "learning_rate": 4.906363636363637e-05,
729
+ "loss": 1.0273,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 0.03781818181818182,
734
+ "grad_norm": 0.699874997138977,
735
+ "learning_rate": 4.905454545454546e-05,
736
+ "loss": 0.9398,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 0.038181818181818185,
741
+ "grad_norm": 0.724445641040802,
742
+ "learning_rate": 4.904545454545455e-05,
743
+ "loss": 0.9617,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 0.03854545454545454,
748
+ "grad_norm": 0.7848714590072632,
749
+ "learning_rate": 4.903636363636364e-05,
750
+ "loss": 1.0037,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 0.03890909090909091,
755
+ "grad_norm": 1.0549767017364502,
756
+ "learning_rate": 4.902727272727273e-05,
757
+ "loss": 1.0691,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.03927272727272727,
762
+ "grad_norm": 0.8227099776268005,
763
+ "learning_rate": 4.901818181818182e-05,
764
+ "loss": 1.0037,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 0.039636363636363636,
769
+ "grad_norm": 1.0453096628189087,
770
+ "learning_rate": 4.900909090909091e-05,
771
+ "loss": 1.0145,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 0.04,
776
+ "grad_norm": 0.8218994140625,
777
+ "learning_rate": 4.9e-05,
778
+ "loss": 0.9857,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 0.040363636363636365,
783
+ "grad_norm": 0.76604825258255,
784
+ "learning_rate": 4.8990909090909095e-05,
785
+ "loss": 0.9576,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 0.04072727272727273,
790
+ "grad_norm": 0.7639636397361755,
791
+ "learning_rate": 4.8981818181818185e-05,
792
+ "loss": 1.0402,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 0.04109090909090909,
797
+ "grad_norm": 0.8489947319030762,
798
+ "learning_rate": 4.8972727272727275e-05,
799
+ "loss": 1.023,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 0.04145454545454545,
804
+ "grad_norm": 0.7406574487686157,
805
+ "learning_rate": 4.8963636363636365e-05,
806
+ "loss": 1.0324,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 0.04181818181818182,
811
+ "grad_norm": 0.6394333243370056,
812
+ "learning_rate": 4.8954545454545456e-05,
813
+ "loss": 0.9831,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 0.04218181818181818,
818
+ "grad_norm": 0.9677541851997375,
819
+ "learning_rate": 4.894545454545455e-05,
820
+ "loss": 0.9928,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 0.042545454545454546,
825
+ "grad_norm": 0.7677833437919617,
826
+ "learning_rate": 4.893636363636364e-05,
827
+ "loss": 0.9301,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 0.04290909090909091,
832
+ "grad_norm": 0.6206602454185486,
833
+ "learning_rate": 4.8927272727272726e-05,
834
+ "loss": 1.0012,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 0.043272727272727275,
839
+ "grad_norm": 0.8425969481468201,
840
+ "learning_rate": 4.8918181818181816e-05,
841
+ "loss": 1.1275,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 0.04363636363636364,
846
+ "grad_norm": 0.7413673400878906,
847
+ "learning_rate": 4.890909090909091e-05,
848
+ "loss": 1.0117,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 0.044,
853
+ "grad_norm": 0.9616818428039551,
854
+ "learning_rate": 4.89e-05,
855
+ "loss": 0.9658,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 0.04436363636363636,
860
+ "grad_norm": 0.7987754344940186,
861
+ "learning_rate": 4.889090909090909e-05,
862
+ "loss": 0.9262,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 0.04472727272727273,
867
+ "grad_norm": 0.8735281825065613,
868
+ "learning_rate": 4.888181818181818e-05,
869
+ "loss": 0.9414,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 0.04509090909090909,
874
+ "grad_norm": 0.7942488789558411,
875
+ "learning_rate": 4.887272727272727e-05,
876
+ "loss": 1.0506,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 0.045454545454545456,
881
+ "grad_norm": 0.8182056546211243,
882
+ "learning_rate": 4.886363636363637e-05,
883
+ "loss": 1.0721,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.04581818181818182,
888
+ "grad_norm": 0.7209412455558777,
889
+ "learning_rate": 4.885454545454546e-05,
890
+ "loss": 1.0205,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 0.046181818181818185,
895
+ "grad_norm": 0.824597954750061,
896
+ "learning_rate": 4.884545454545455e-05,
897
+ "loss": 0.9563,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 0.04654545454545454,
902
+ "grad_norm": 0.6784900426864624,
903
+ "learning_rate": 4.883636363636364e-05,
904
+ "loss": 1.0971,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 0.04690909090909091,
909
+ "grad_norm": 0.680962324142456,
910
+ "learning_rate": 4.882727272727273e-05,
911
+ "loss": 1.0043,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 0.04727272727272727,
916
+ "grad_norm": 0.7917009592056274,
917
+ "learning_rate": 4.881818181818182e-05,
918
+ "loss": 1.053,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 0.047636363636363636,
923
+ "grad_norm": 0.8048487305641174,
924
+ "learning_rate": 4.880909090909091e-05,
925
+ "loss": 1.0842,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 0.048,
930
+ "grad_norm": 0.7836024165153503,
931
+ "learning_rate": 4.88e-05,
932
+ "loss": 1.0537,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 0.048363636363636366,
937
+ "grad_norm": 0.6501603126525879,
938
+ "learning_rate": 4.879090909090909e-05,
939
+ "loss": 1.0084,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 0.04872727272727273,
944
+ "grad_norm": 1.0370051860809326,
945
+ "learning_rate": 4.878181818181819e-05,
946
+ "loss": 0.9449,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 0.04909090909090909,
951
+ "grad_norm": 0.8803650736808777,
952
+ "learning_rate": 4.877272727272728e-05,
953
+ "loss": 1.0154,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 0.04945454545454545,
958
+ "grad_norm": 0.8375502824783325,
959
+ "learning_rate": 4.876363636363637e-05,
960
+ "loss": 0.9437,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 0.04981818181818182,
965
+ "grad_norm": 0.8356055617332458,
966
+ "learning_rate": 4.875454545454546e-05,
967
+ "loss": 0.9443,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 0.05018181818181818,
972
+ "grad_norm": 0.9145257472991943,
973
+ "learning_rate": 4.874545454545455e-05,
974
+ "loss": 1.0326,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 0.050545454545454546,
979
+ "grad_norm": 0.7850838899612427,
980
+ "learning_rate": 4.8736363636363644e-05,
981
+ "loss": 0.9943,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 0.05090909090909091,
986
+ "grad_norm": 0.8555696606636047,
987
+ "learning_rate": 4.872727272727273e-05,
988
+ "loss": 1.0791,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 0.051272727272727275,
993
+ "grad_norm": 0.6297926306724548,
994
+ "learning_rate": 4.871818181818182e-05,
995
+ "loss": 0.9766,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 0.05163636363636363,
1000
+ "grad_norm": 0.7590431571006775,
1001
+ "learning_rate": 4.870909090909091e-05,
1002
+ "loss": 1.0184,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 0.052,
1007
+ "grad_norm": 0.7111615538597107,
1008
+ "learning_rate": 4.87e-05,
1009
+ "loss": 0.9545,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 0.05236363636363636,
1014
+ "grad_norm": 0.9266930222511292,
1015
+ "learning_rate": 4.8690909090909095e-05,
1016
+ "loss": 0.9373,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 0.05272727272727273,
1021
+ "grad_norm": 0.7775997519493103,
1022
+ "learning_rate": 4.8681818181818185e-05,
1023
+ "loss": 1.084,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 0.05309090909090909,
1028
+ "grad_norm": 0.7686333656311035,
1029
+ "learning_rate": 4.8672727272727275e-05,
1030
+ "loss": 0.9543,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 0.053454545454545456,
1035
+ "grad_norm": 0.8209460973739624,
1036
+ "learning_rate": 4.8663636363636365e-05,
1037
+ "loss": 1.0379,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 0.05381818181818182,
1042
+ "grad_norm": 0.5993338227272034,
1043
+ "learning_rate": 4.8654545454545455e-05,
1044
+ "loss": 0.9836,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 0.054181818181818185,
1049
+ "grad_norm": 0.8321117758750916,
1050
+ "learning_rate": 4.864545454545455e-05,
1051
+ "loss": 0.9789,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 0.05454545454545454,
1056
+ "grad_norm": 0.7136039733886719,
1057
+ "learning_rate": 4.863636363636364e-05,
1058
+ "loss": 0.941,
1059
+ "step": 1500
1060
+ },
1061
+ {
1062
+ "epoch": 0.05490909090909091,
1063
+ "grad_norm": 0.6142838001251221,
1064
+ "learning_rate": 4.8627272727272725e-05,
1065
+ "loss": 1.0277,
1066
+ "step": 1510
1067
+ },
1068
+ {
1069
+ "epoch": 0.05527272727272727,
1070
+ "grad_norm": 0.7588635087013245,
1071
+ "learning_rate": 4.8618181818181815e-05,
1072
+ "loss": 1.0854,
1073
+ "step": 1520
1074
+ },
1075
+ {
1076
+ "epoch": 0.05563636363636364,
1077
+ "grad_norm": 0.9304160475730896,
1078
+ "learning_rate": 4.860909090909091e-05,
1079
+ "loss": 1.0713,
1080
+ "step": 1530
1081
+ },
1082
+ {
1083
+ "epoch": 0.056,
1084
+ "grad_norm": 0.6855290532112122,
1085
+ "learning_rate": 4.86e-05,
1086
+ "loss": 0.9658,
1087
+ "step": 1540
1088
+ },
1089
+ {
1090
+ "epoch": 0.056363636363636366,
1091
+ "grad_norm": 0.7574965357780457,
1092
+ "learning_rate": 4.859090909090909e-05,
1093
+ "loss": 0.9271,
1094
+ "step": 1550
1095
+ },
1096
+ {
1097
+ "epoch": 0.05672727272727273,
1098
+ "grad_norm": 0.6834359765052795,
1099
+ "learning_rate": 4.858181818181818e-05,
1100
+ "loss": 0.9395,
1101
+ "step": 1560
1102
+ },
1103
+ {
1104
+ "epoch": 0.05709090909090909,
1105
+ "grad_norm": 0.5964385271072388,
1106
+ "learning_rate": 4.857272727272727e-05,
1107
+ "loss": 1.0156,
1108
+ "step": 1570
1109
+ },
1110
+ {
1111
+ "epoch": 0.05745454545454545,
1112
+ "grad_norm": 0.6349005699157715,
1113
+ "learning_rate": 4.856363636363637e-05,
1114
+ "loss": 0.9195,
1115
+ "step": 1580
1116
+ },
1117
+ {
1118
+ "epoch": 0.05781818181818182,
1119
+ "grad_norm": 0.7871122360229492,
1120
+ "learning_rate": 4.855454545454546e-05,
1121
+ "loss": 1.008,
1122
+ "step": 1590
1123
+ },
1124
+ {
1125
+ "epoch": 0.05818181818181818,
1126
+ "grad_norm": 0.743977427482605,
1127
+ "learning_rate": 4.854545454545455e-05,
1128
+ "loss": 1.0277,
1129
+ "step": 1600
1130
+ },
1131
+ {
1132
+ "epoch": 0.058545454545454546,
1133
+ "grad_norm": 0.8460306525230408,
1134
+ "learning_rate": 4.853636363636364e-05,
1135
+ "loss": 1.0178,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 0.05890909090909091,
1140
+ "grad_norm": 0.6202099323272705,
1141
+ "learning_rate": 4.852727272727273e-05,
1142
+ "loss": 0.9564,
1143
+ "step": 1620
1144
+ },
1145
+ {
1146
+ "epoch": 0.059272727272727276,
1147
+ "grad_norm": 0.6819918155670166,
1148
+ "learning_rate": 4.851818181818182e-05,
1149
+ "loss": 1.008,
1150
+ "step": 1630
1151
+ },
1152
+ {
1153
+ "epoch": 0.05963636363636363,
1154
+ "grad_norm": 0.8113404512405396,
1155
+ "learning_rate": 4.850909090909091e-05,
1156
+ "loss": 1.0469,
1157
+ "step": 1640
1158
+ },
1159
+ {
1160
+ "epoch": 0.06,
1161
+ "grad_norm": 0.7554293274879456,
1162
+ "learning_rate": 4.85e-05,
1163
+ "loss": 0.9373,
1164
+ "step": 1650
1165
+ },
1166
+ {
1167
+ "epoch": 0.06036363636363636,
1168
+ "grad_norm": 0.7795326709747314,
1169
+ "learning_rate": 4.849090909090909e-05,
1170
+ "loss": 1.0633,
1171
+ "step": 1660
1172
+ },
1173
+ {
1174
+ "epoch": 0.06072727272727273,
1175
+ "grad_norm": 0.6483361721038818,
1176
+ "learning_rate": 4.848181818181819e-05,
1177
+ "loss": 1.0172,
1178
+ "step": 1670
1179
+ },
1180
+ {
1181
+ "epoch": 0.06109090909090909,
1182
+ "grad_norm": 0.7647920846939087,
1183
+ "learning_rate": 4.847272727272728e-05,
1184
+ "loss": 0.9861,
1185
+ "step": 1680
1186
+ },
1187
+ {
1188
+ "epoch": 0.061454545454545456,
1189
+ "grad_norm": 0.9443255066871643,
1190
+ "learning_rate": 4.846363636363637e-05,
1191
+ "loss": 1.0828,
1192
+ "step": 1690
1193
+ },
1194
+ {
1195
+ "epoch": 0.06181818181818182,
1196
+ "grad_norm": 0.8193866610527039,
1197
+ "learning_rate": 4.845454545454546e-05,
1198
+ "loss": 1.0604,
1199
+ "step": 1700
1200
+ },
1201
+ {
1202
+ "epoch": 0.06218181818181818,
1203
+ "grad_norm": 0.707897961139679,
1204
+ "learning_rate": 4.844545454545455e-05,
1205
+ "loss": 0.9975,
1206
+ "step": 1710
1207
+ },
1208
+ {
1209
+ "epoch": 0.06254545454545454,
1210
+ "grad_norm": 0.9864387512207031,
1211
+ "learning_rate": 4.8436363636363644e-05,
1212
+ "loss": 1.0488,
1213
+ "step": 1720
1214
+ },
1215
+ {
1216
+ "epoch": 0.06290909090909091,
1217
+ "grad_norm": 0.741073727607727,
1218
+ "learning_rate": 4.8427272727272734e-05,
1219
+ "loss": 0.9912,
1220
+ "step": 1730
1221
+ },
1222
+ {
1223
+ "epoch": 0.06327272727272727,
1224
+ "grad_norm": 0.6622138619422913,
1225
+ "learning_rate": 4.841818181818182e-05,
1226
+ "loss": 0.9904,
1227
+ "step": 1740
1228
+ },
1229
+ {
1230
+ "epoch": 0.06363636363636363,
1231
+ "grad_norm": 0.9334690570831299,
1232
+ "learning_rate": 4.840909090909091e-05,
1233
+ "loss": 0.9775,
1234
+ "step": 1750
1235
+ },
1236
+ {
1237
+ "epoch": 0.064,
1238
+ "grad_norm": 0.5777163505554199,
1239
+ "learning_rate": 4.8400000000000004e-05,
1240
+ "loss": 0.951,
1241
+ "step": 1760
1242
+ },
1243
+ {
1244
+ "epoch": 0.06436363636363636,
1245
+ "grad_norm": 0.9769054651260376,
1246
+ "learning_rate": 4.8390909090909094e-05,
1247
+ "loss": 0.9883,
1248
+ "step": 1770
1249
+ },
1250
+ {
1251
+ "epoch": 0.06472727272727273,
1252
+ "grad_norm": 0.8204796314239502,
1253
+ "learning_rate": 4.8381818181818184e-05,
1254
+ "loss": 0.9746,
1255
+ "step": 1780
1256
+ },
1257
+ {
1258
+ "epoch": 0.06509090909090909,
1259
+ "grad_norm": 0.8641470670700073,
1260
+ "learning_rate": 4.8372727272727274e-05,
1261
+ "loss": 1.0391,
1262
+ "step": 1790
1263
+ },
1264
+ {
1265
+ "epoch": 0.06545454545454546,
1266
+ "grad_norm": 0.732994794845581,
1267
+ "learning_rate": 4.8363636363636364e-05,
1268
+ "loss": 0.9494,
1269
+ "step": 1800
1270
+ },
1271
+ {
1272
+ "epoch": 0.06581818181818182,
1273
+ "grad_norm": 0.5632991194725037,
1274
+ "learning_rate": 4.835454545454546e-05,
1275
+ "loss": 1.1303,
1276
+ "step": 1810
1277
+ },
1278
+ {
1279
+ "epoch": 0.06618181818181817,
1280
+ "grad_norm": 0.6839861869812012,
1281
+ "learning_rate": 4.834545454545455e-05,
1282
+ "loss": 0.9652,
1283
+ "step": 1820
1284
+ },
1285
+ {
1286
+ "epoch": 0.06654545454545455,
1287
+ "grad_norm": 0.5407667756080627,
1288
+ "learning_rate": 4.833636363636364e-05,
1289
+ "loss": 0.9885,
1290
+ "step": 1830
1291
+ },
1292
+ {
1293
+ "epoch": 0.0669090909090909,
1294
+ "grad_norm": 0.8409451246261597,
1295
+ "learning_rate": 4.832727272727273e-05,
1296
+ "loss": 1.0197,
1297
+ "step": 1840
1298
+ },
1299
+ {
1300
+ "epoch": 0.06727272727272728,
1301
+ "grad_norm": 0.8460031151771545,
1302
+ "learning_rate": 4.8318181818181815e-05,
1303
+ "loss": 1.0137,
1304
+ "step": 1850
1305
+ },
1306
+ {
1307
+ "epoch": 0.06763636363636363,
1308
+ "grad_norm": 0.6154618859291077,
1309
+ "learning_rate": 4.830909090909091e-05,
1310
+ "loss": 0.9316,
1311
+ "step": 1860
1312
+ },
1313
+ {
1314
+ "epoch": 0.068,
1315
+ "grad_norm": 0.7288620471954346,
1316
+ "learning_rate": 4.83e-05,
1317
+ "loss": 0.957,
1318
+ "step": 1870
1319
+ },
1320
+ {
1321
+ "epoch": 0.06836363636363636,
1322
+ "grad_norm": 0.6734368205070496,
1323
+ "learning_rate": 4.829090909090909e-05,
1324
+ "loss": 0.9178,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 0.06872727272727273,
1329
+ "grad_norm": 0.5886709690093994,
1330
+ "learning_rate": 4.828181818181818e-05,
1331
+ "loss": 0.8715,
1332
+ "step": 1890
1333
+ },
1334
+ {
1335
+ "epoch": 0.06909090909090909,
1336
+ "grad_norm": 0.6626171469688416,
1337
+ "learning_rate": 4.827272727272727e-05,
1338
+ "loss": 1.0303,
1339
+ "step": 1900
1340
+ },
1341
+ {
1342
+ "epoch": 0.06945454545454545,
1343
+ "grad_norm": 0.6848061680793762,
1344
+ "learning_rate": 4.826363636363637e-05,
1345
+ "loss": 0.9477,
1346
+ "step": 1910
1347
+ },
1348
+ {
1349
+ "epoch": 0.06981818181818182,
1350
+ "grad_norm": 0.9979369640350342,
1351
+ "learning_rate": 4.825454545454546e-05,
1352
+ "loss": 1.1021,
1353
+ "step": 1920
1354
+ },
1355
+ {
1356
+ "epoch": 0.07018181818181818,
1357
+ "grad_norm": 0.8587698340415955,
1358
+ "learning_rate": 4.824545454545455e-05,
1359
+ "loss": 0.9975,
1360
+ "step": 1930
1361
+ },
1362
+ {
1363
+ "epoch": 0.07054545454545455,
1364
+ "grad_norm": 0.7505869269371033,
1365
+ "learning_rate": 4.823636363636364e-05,
1366
+ "loss": 0.902,
1367
+ "step": 1940
1368
+ },
1369
+ {
1370
+ "epoch": 0.07090909090909091,
1371
+ "grad_norm": 1.0160633325576782,
1372
+ "learning_rate": 4.822727272727273e-05,
1373
+ "loss": 1.0432,
1374
+ "step": 1950
1375
+ },
1376
+ {
1377
+ "epoch": 0.07127272727272728,
1378
+ "grad_norm": 0.6609899401664734,
1379
+ "learning_rate": 4.821818181818182e-05,
1380
+ "loss": 0.9576,
1381
+ "step": 1960
1382
+ },
1383
+ {
1384
+ "epoch": 0.07163636363636364,
1385
+ "grad_norm": 0.8230269551277161,
1386
+ "learning_rate": 4.820909090909091e-05,
1387
+ "loss": 1.0172,
1388
+ "step": 1970
1389
+ },
1390
+ {
1391
+ "epoch": 0.072,
1392
+ "grad_norm": 0.7711009979248047,
1393
+ "learning_rate": 4.82e-05,
1394
+ "loss": 1.133,
1395
+ "step": 1980
1396
+ },
1397
+ {
1398
+ "epoch": 0.07236363636363637,
1399
+ "grad_norm": 0.8839887380599976,
1400
+ "learning_rate": 4.819090909090909e-05,
1401
+ "loss": 1.0662,
1402
+ "step": 1990
1403
+ },
1404
+ {
1405
+ "epoch": 0.07272727272727272,
1406
+ "grad_norm": 0.6672515869140625,
1407
+ "learning_rate": 4.8181818181818186e-05,
1408
+ "loss": 0.9764,
1409
+ "step": 2000
1410
+ }
1411
+ ],
1412
+ "logging_steps": 10,
1413
+ "max_steps": 55000,
1414
+ "num_input_tokens_seen": 0,
1415
+ "num_train_epochs": 2,
1416
+ "save_steps": 1000,
1417
+ "stateful_callbacks": {
1418
+ "TrainerControl": {
1419
+ "args": {
1420
+ "should_epoch_stop": false,
1421
+ "should_evaluate": false,
1422
+ "should_log": false,
1423
+ "should_save": true,
1424
+ "should_training_stop": false
1425
+ },
1426
+ "attributes": {}
1427
+ }
1428
+ },
1429
+ "total_flos": 1.2566081788222917e+18,
1430
+ "train_batch_size": 2,
1431
+ "trial_name": null,
1432
+ "trial_params": null
1433
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffab543a5a6285a5dc705d68751997721338129830541b8c103977c0c6dcf048
3
+ size 5368