yang335 commited on
Commit
e0d12df
·
verified ·
1 Parent(s): 06a60c0

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +1408 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-Coder-14B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: SWE-BENCH-loc_500_gen_plus_critic_combine_qwen_code_14B
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # SWE-BENCH-loc_500_gen_plus_critic_combine_qwen_code_14B
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-Coder-14B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: SWE-BENCH-loc_500_gen_plus_critic_combine_qwen_code_14B
 
16
 
17
  # SWE-BENCH-loc_500_gen_plus_critic_combine_qwen_code_14B
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on the SWE-BENCH-loc_500_gen_plus_critic_combine dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986093552465234,
3
+ "total_flos": 2.193163794073518e+17,
4
+ "train_loss": 0.5202219234063075,
5
+ "train_runtime": 39110.2979,
6
+ "train_samples_per_second": 0.243,
7
+ "train_steps_per_second": 0.005
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986093552465234,
3
+ "total_flos": 2.193163794073518e+17,
4
+ "train_loss": 0.5202219234063075,
5
+ "train_runtime": 39110.2979,
6
+ "train_samples_per_second": 0.243,
7
+ "train_steps_per_second": 0.005
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.986093552465234,
6
+ "eval_steps": 500,
7
+ "global_step": 195,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.015170670037926675,
14
+ "grad_norm": 1.3418480157852173,
15
+ "learning_rate": 0.0,
16
+ "loss": 0.7433,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.03034134007585335,
21
+ "grad_norm": 1.4127129316329956,
22
+ "learning_rate": 5.000000000000001e-07,
23
+ "loss": 0.761,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.045512010113780026,
28
+ "grad_norm": 1.5653902292251587,
29
+ "learning_rate": 1.0000000000000002e-06,
30
+ "loss": 0.8263,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.0606826801517067,
35
+ "grad_norm": 1.3309255838394165,
36
+ "learning_rate": 1.5e-06,
37
+ "loss": 0.7565,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.07585335018963338,
42
+ "grad_norm": 1.2815498113632202,
43
+ "learning_rate": 2.0000000000000003e-06,
44
+ "loss": 0.7118,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.09102402022756005,
49
+ "grad_norm": 1.3161976337432861,
50
+ "learning_rate": 2.5e-06,
51
+ "loss": 0.7609,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.10619469026548672,
56
+ "grad_norm": 1.283697485923767,
57
+ "learning_rate": 3e-06,
58
+ "loss": 0.8174,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.1213653603034134,
63
+ "grad_norm": 1.020988941192627,
64
+ "learning_rate": 3.5e-06,
65
+ "loss": 0.7995,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.13653603034134007,
70
+ "grad_norm": 0.8449975252151489,
71
+ "learning_rate": 4.000000000000001e-06,
72
+ "loss": 0.7482,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.15170670037926676,
77
+ "grad_norm": 0.9625175595283508,
78
+ "learning_rate": 4.5e-06,
79
+ "loss": 0.7357,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.16687737041719342,
84
+ "grad_norm": 1.0360528230667114,
85
+ "learning_rate": 5e-06,
86
+ "loss": 0.7524,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.1820480404551201,
91
+ "grad_norm": 0.8166671395301819,
92
+ "learning_rate": 5.500000000000001e-06,
93
+ "loss": 0.6702,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.1972187104930468,
98
+ "grad_norm": 0.669105052947998,
99
+ "learning_rate": 6e-06,
100
+ "loss": 0.6509,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.21238938053097345,
105
+ "grad_norm": 0.9122142791748047,
106
+ "learning_rate": 6.5000000000000004e-06,
107
+ "loss": 0.7482,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.22756005056890014,
112
+ "grad_norm": 0.8461022973060608,
113
+ "learning_rate": 7e-06,
114
+ "loss": 0.6602,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.2427307206068268,
119
+ "grad_norm": 1.27907133102417,
120
+ "learning_rate": 7.500000000000001e-06,
121
+ "loss": 0.7036,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.2579013906447535,
126
+ "grad_norm": 0.7009077072143555,
127
+ "learning_rate": 8.000000000000001e-06,
128
+ "loss": 0.6934,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.27307206068268014,
133
+ "grad_norm": 0.6173739433288574,
134
+ "learning_rate": 8.5e-06,
135
+ "loss": 0.6572,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.28824273072060685,
140
+ "grad_norm": 0.6167724132537842,
141
+ "learning_rate": 9e-06,
142
+ "loss": 0.646,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.3034134007585335,
147
+ "grad_norm": 0.7092210054397583,
148
+ "learning_rate": 9.5e-06,
149
+ "loss": 0.7002,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.3185840707964602,
154
+ "grad_norm": 0.6299468874931335,
155
+ "learning_rate": 1e-05,
156
+ "loss": 0.6522,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.33375474083438683,
161
+ "grad_norm": 0.5548372268676758,
162
+ "learning_rate": 9.999194339645292e-06,
163
+ "loss": 0.5982,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.34892541087231355,
168
+ "grad_norm": 0.5452980399131775,
169
+ "learning_rate": 9.996777618216608e-06,
170
+ "loss": 0.6258,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.3640960809102402,
175
+ "grad_norm": 0.549773097038269,
176
+ "learning_rate": 9.992750614536606e-06,
177
+ "loss": 0.6204,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.37926675094816686,
182
+ "grad_norm": 0.5395023822784424,
183
+ "learning_rate": 9.987114626364172e-06,
184
+ "loss": 0.6947,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.3944374209860936,
189
+ "grad_norm": 0.49335014820098877,
190
+ "learning_rate": 9.979871469976197e-06,
191
+ "loss": 0.6215,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.40960809102402024,
196
+ "grad_norm": 0.5002505779266357,
197
+ "learning_rate": 9.971023479582258e-06,
198
+ "loss": 0.5899,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.4247787610619469,
203
+ "grad_norm": 0.4934206008911133,
204
+ "learning_rate": 9.960573506572391e-06,
205
+ "loss": 0.6689,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.43994943109987356,
210
+ "grad_norm": 0.4559570848941803,
211
+ "learning_rate": 9.948524918598175e-06,
212
+ "loss": 0.6031,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.45512010113780027,
217
+ "grad_norm": 0.4254303276538849,
218
+ "learning_rate": 9.934881598487478e-06,
219
+ "loss": 0.5164,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.47029077117572693,
224
+ "grad_norm": 0.511420726776123,
225
+ "learning_rate": 9.91964794299315e-06,
226
+ "loss": 0.6158,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.4854614412136536,
231
+ "grad_norm": 0.4833051264286041,
232
+ "learning_rate": 9.902828861376101e-06,
233
+ "loss": 0.6044,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.5006321112515802,
238
+ "grad_norm": 0.631668746471405,
239
+ "learning_rate": 9.884429773823238e-06,
240
+ "loss": 0.5945,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.515802781289507,
245
+ "grad_norm": 0.5820228457450867,
246
+ "learning_rate": 9.864456609700726e-06,
247
+ "loss": 0.595,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.5309734513274337,
252
+ "grad_norm": 0.4874587655067444,
253
+ "learning_rate": 9.842915805643156e-06,
254
+ "loss": 0.5832,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.5461441213653603,
259
+ "grad_norm": 0.4421619176864624,
260
+ "learning_rate": 9.819814303479268e-06,
261
+ "loss": 0.5983,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.561314791403287,
266
+ "grad_norm": 0.47112926840782166,
267
+ "learning_rate": 9.79515954799483e-06,
268
+ "loss": 0.6261,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.5764854614412137,
273
+ "grad_norm": 0.4074913561344147,
274
+ "learning_rate": 9.768959484533461e-06,
275
+ "loss": 0.5501,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.5916561314791403,
280
+ "grad_norm": 0.46934953331947327,
281
+ "learning_rate": 9.741222556436132e-06,
282
+ "loss": 0.6143,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.606826801517067,
287
+ "grad_norm": 0.470877468585968,
288
+ "learning_rate": 9.711957702320176e-06,
289
+ "loss": 0.5895,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.6219974715549936,
294
+ "grad_norm": 0.5042617321014404,
295
+ "learning_rate": 9.681174353198687e-06,
296
+ "loss": 0.6084,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.6371681415929203,
301
+ "grad_norm": 0.4102831780910492,
302
+ "learning_rate": 9.648882429441258e-06,
303
+ "loss": 0.5517,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.6523388116308471,
308
+ "grad_norm": 0.41832295060157776,
309
+ "learning_rate": 9.615092337576987e-06,
310
+ "loss": 0.5322,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.6675094816687737,
315
+ "grad_norm": 0.4671192467212677,
316
+ "learning_rate": 9.579814966940833e-06,
317
+ "loss": 0.614,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.6826801517067004,
322
+ "grad_norm": 0.45350876450538635,
323
+ "learning_rate": 9.543061686164374e-06,
324
+ "loss": 0.6005,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.6978508217446271,
329
+ "grad_norm": 0.46615591645240784,
330
+ "learning_rate": 9.504844339512096e-06,
331
+ "loss": 0.6009,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.7130214917825537,
336
+ "grad_norm": 0.5051223635673523,
337
+ "learning_rate": 9.465175243064428e-06,
338
+ "loss": 0.589,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.7281921618204804,
343
+ "grad_norm": 0.4288654923439026,
344
+ "learning_rate": 9.424067180748692e-06,
345
+ "loss": 0.562,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.7433628318584071,
350
+ "grad_norm": 0.4421122372150421,
351
+ "learning_rate": 9.381533400219319e-06,
352
+ "loss": 0.6247,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.7585335018963337,
357
+ "grad_norm": 0.44172200560569763,
358
+ "learning_rate": 9.337587608588588e-06,
359
+ "loss": 0.6327,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.7737041719342604,
364
+ "grad_norm": 0.43877238035202026,
365
+ "learning_rate": 9.292243968009332e-06,
366
+ "loss": 0.5905,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.7888748419721872,
371
+ "grad_norm": 0.48638173937797546,
372
+ "learning_rate": 9.24551709111097e-06,
373
+ "loss": 0.5787,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.8040455120101138,
378
+ "grad_norm": 0.46385085582733154,
379
+ "learning_rate": 9.197422036290386e-06,
380
+ "loss": 0.6414,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.8192161820480405,
385
+ "grad_norm": 0.47493401169776917,
386
+ "learning_rate": 9.147974302859158e-06,
387
+ "loss": 0.6136,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.8343868520859671,
392
+ "grad_norm": 0.4470069110393524,
393
+ "learning_rate": 9.09718982604866e-06,
394
+ "loss": 0.5687,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.8495575221238938,
399
+ "grad_norm": 0.41280269622802734,
400
+ "learning_rate": 9.045084971874738e-06,
401
+ "loss": 0.5977,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.8647281921618205,
406
+ "grad_norm": 0.4971402883529663,
407
+ "learning_rate": 8.991676531863507e-06,
408
+ "loss": 0.5718,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.8798988621997471,
413
+ "grad_norm": 0.46412622928619385,
414
+ "learning_rate": 8.936981717640061e-06,
415
+ "loss": 0.5713,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.8950695322376738,
420
+ "grad_norm": 0.4311119318008423,
421
+ "learning_rate": 8.881018155381766e-06,
422
+ "loss": 0.6296,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.9102402022756005,
427
+ "grad_norm": 0.45351457595825195,
428
+ "learning_rate": 8.823803880137993e-06,
429
+ "loss": 0.567,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.9254108723135271,
434
+ "grad_norm": 0.4308796226978302,
435
+ "learning_rate": 8.765357330018056e-06,
436
+ "loss": 0.5658,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.9405815423514539,
441
+ "grad_norm": 0.4713445007801056,
442
+ "learning_rate": 8.705697340249275e-06,
443
+ "loss": 0.5758,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.9557522123893806,
448
+ "grad_norm": 0.49278339743614197,
449
+ "learning_rate": 8.644843137107058e-06,
450
+ "loss": 0.5843,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.9709228824273072,
455
+ "grad_norm": 0.44526898860931396,
456
+ "learning_rate": 8.582814331718961e-06,
457
+ "loss": 0.5723,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.9860935524652339,
462
+ "grad_norm": 0.46161067485809326,
463
+ "learning_rate": 8.519630913744726e-06,
464
+ "loss": 0.6162,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 1.0151706700379266,
469
+ "grad_norm": 0.6008106470108032,
470
+ "learning_rate": 8.455313244934324e-06,
471
+ "loss": 1.1143,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 1.0303413400758534,
476
+ "grad_norm": 0.4400518834590912,
477
+ "learning_rate": 8.389882052566106e-06,
478
+ "loss": 0.4743,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 1.04551201011378,
483
+ "grad_norm": 0.403044193983078,
484
+ "learning_rate": 8.32335842276713e-06,
485
+ "loss": 0.483,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 1.0606826801517066,
490
+ "grad_norm": 1.6882063150405884,
491
+ "learning_rate": 8.255763793717868e-06,
492
+ "loss": 0.5228,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 1.0758533501896335,
497
+ "grad_norm": 0.5953236818313599,
498
+ "learning_rate": 8.18711994874345e-06,
499
+ "loss": 0.4833,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 1.09102402022756,
504
+ "grad_norm": 1.2095857858657837,
505
+ "learning_rate": 8.117449009293668e-06,
506
+ "loss": 0.5248,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 1.1061946902654867,
511
+ "grad_norm": 0.43588605523109436,
512
+ "learning_rate": 8.046773427814043e-06,
513
+ "loss": 0.4946,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 1.1213653603034135,
518
+ "grad_norm": 0.45902812480926514,
519
+ "learning_rate": 7.975115980510187e-06,
520
+ "loss": 0.5118,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 1.13653603034134,
525
+ "grad_norm": 0.43903180956840515,
526
+ "learning_rate": 7.902499760007867e-06,
527
+ "loss": 0.5132,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 1.1517067003792667,
532
+ "grad_norm": 0.4341452717781067,
533
+ "learning_rate": 7.828948167911073e-06,
534
+ "loss": 0.51,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 1.1668773704171933,
539
+ "grad_norm": 0.4682852029800415,
540
+ "learning_rate": 7.754484907260513e-06,
541
+ "loss": 0.4863,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 1.1820480404551201,
546
+ "grad_norm": 0.4794589579105377,
547
+ "learning_rate": 7.679133974894984e-06,
548
+ "loss": 0.5083,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 1.1972187104930467,
553
+ "grad_norm": 0.4567174017429352,
554
+ "learning_rate": 7.602919653718044e-06,
555
+ "loss": 0.5121,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 1.2123893805309733,
560
+ "grad_norm": 0.45591986179351807,
561
+ "learning_rate": 7.5258665048725065e-06,
562
+ "loss": 0.4804,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 1.2275600505689002,
567
+ "grad_norm": 0.48482567071914673,
568
+ "learning_rate": 7.447999359825263e-06,
569
+ "loss": 0.4756,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 1.2427307206068268,
574
+ "grad_norm": 0.44032907485961914,
575
+ "learning_rate": 7.369343312364994e-06,
576
+ "loss": 0.4748,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 1.2579013906447534,
581
+ "grad_norm": 0.46281248331069946,
582
+ "learning_rate": 7.289923710515338e-06,
583
+ "loss": 0.4969,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 1.2730720606826802,
588
+ "grad_norm": 0.4520440995693207,
589
+ "learning_rate": 7.2097661483661355e-06,
590
+ "loss": 0.5173,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 1.2882427307206068,
595
+ "grad_norm": 0.7100924849510193,
596
+ "learning_rate": 7.128896457825364e-06,
597
+ "loss": 0.5154,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 1.3034134007585334,
602
+ "grad_norm": 0.4339788854122162,
603
+ "learning_rate": 7.047340700294454e-06,
604
+ "loss": 0.4539,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 1.3185840707964602,
609
+ "grad_norm": 0.5082290172576904,
610
+ "learning_rate": 6.965125158269619e-06,
611
+ "loss": 0.5475,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 1.3337547408343868,
616
+ "grad_norm": 0.5252617001533508,
617
+ "learning_rate": 6.88227632687196e-06,
618
+ "loss": 0.4785,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 1.3489254108723134,
623
+ "grad_norm": 0.46251779794692993,
624
+ "learning_rate": 6.798820905309036e-06,
625
+ "loss": 0.4832,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 1.3640960809102403,
630
+ "grad_norm": 0.44232895970344543,
631
+ "learning_rate": 6.714785788270658e-06,
632
+ "loss": 0.4991,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 1.3792667509481669,
637
+ "grad_norm": 0.5520949959754944,
638
+ "learning_rate": 6.63019805726171e-06,
639
+ "loss": 0.5147,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 1.3944374209860935,
644
+ "grad_norm": 0.4751013517379761,
645
+ "learning_rate": 6.545084971874738e-06,
646
+ "loss": 0.468,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 1.4096080910240203,
651
+ "grad_norm": 0.6363617777824402,
652
+ "learning_rate": 6.459473961005168e-06,
653
+ "loss": 0.4465,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 1.424778761061947,
658
+ "grad_norm": 0.504291832447052,
659
+ "learning_rate": 6.373392614011952e-06,
660
+ "loss": 0.4599,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 1.4399494310998735,
665
+ "grad_norm": 0.5495200157165527,
666
+ "learning_rate": 6.286868671826513e-06,
667
+ "loss": 0.4809,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 1.4551201011378003,
672
+ "grad_norm": 0.45413124561309814,
673
+ "learning_rate": 6.19993001801283e-06,
674
+ "loss": 0.4756,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 1.470290771175727,
679
+ "grad_norm": 0.48508644104003906,
680
+ "learning_rate": 6.112604669781572e-06,
681
+ "loss": 0.4996,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 1.4854614412136535,
686
+ "grad_norm": 0.670592725276947,
687
+ "learning_rate": 6.024920768961153e-06,
688
+ "loss": 0.5203,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 1.5006321112515804,
693
+ "grad_norm": 0.43420279026031494,
694
+ "learning_rate": 5.936906572928625e-06,
695
+ "loss": 0.5112,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 1.515802781289507,
700
+ "grad_norm": 0.4348045885562897,
701
+ "learning_rate": 5.848590445503345e-06,
702
+ "loss": 0.5077,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 1.5309734513274336,
707
+ "grad_norm": 0.5098991990089417,
708
+ "learning_rate": 5.760000847806337e-06,
709
+ "loss": 0.5244,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 1.5461441213653604,
714
+ "grad_norm": 0.4518718123435974,
715
+ "learning_rate": 5.671166329088278e-06,
716
+ "loss": 0.4814,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 1.561314791403287,
721
+ "grad_norm": 0.4843664765357971,
722
+ "learning_rate": 5.582115517529114e-06,
723
+ "loss": 0.4969,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 1.5764854614412136,
728
+ "grad_norm": 0.5018794536590576,
729
+ "learning_rate": 5.4928771110122185e-06,
730
+ "loss": 0.4738,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 1.5916561314791404,
735
+ "grad_norm": 0.4358893930912018,
736
+ "learning_rate": 5.403479867876087e-06,
737
+ "loss": 0.4958,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 1.606826801517067,
742
+ "grad_norm": 0.45651909708976746,
743
+ "learning_rate": 5.3139525976465675e-06,
744
+ "loss": 0.446,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 1.6219974715549936,
749
+ "grad_norm": 0.4391672909259796,
750
+ "learning_rate": 5.224324151752575e-06,
751
+ "loss": 0.4789,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 1.6371681415929205,
756
+ "grad_norm": 0.40504834055900574,
757
+ "learning_rate": 5.134623414228315e-06,
758
+ "loss": 0.4801,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 1.652338811630847,
763
+ "grad_norm": 0.425678551197052,
764
+ "learning_rate": 5.04487929240499e-06,
765
+ "loss": 0.5132,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 1.6675094816687737,
770
+ "grad_norm": 0.4834710657596588,
771
+ "learning_rate": 4.955120707595011e-06,
772
+ "loss": 0.4529,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 1.6826801517067005,
777
+ "grad_norm": 0.3974740207195282,
778
+ "learning_rate": 4.865376585771687e-06,
779
+ "loss": 0.4207,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 1.697850821744627,
784
+ "grad_norm": 0.39827069640159607,
785
+ "learning_rate": 4.775675848247427e-06,
786
+ "loss": 0.4408,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 1.7130214917825537,
791
+ "grad_norm": 0.45671942830085754,
792
+ "learning_rate": 4.686047402353433e-06,
793
+ "loss": 0.4526,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 1.7281921618204805,
798
+ "grad_norm": 0.46384182572364807,
799
+ "learning_rate": 4.596520132123915e-06,
800
+ "loss": 0.4952,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 1.7433628318584071,
805
+ "grad_norm": 0.5297421813011169,
806
+ "learning_rate": 4.507122888987782e-06,
807
+ "loss": 0.514,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 1.7585335018963337,
812
+ "grad_norm": 0.4392913579940796,
813
+ "learning_rate": 4.417884482470887e-06,
814
+ "loss": 0.4494,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 1.7737041719342606,
819
+ "grad_norm": 0.44901785254478455,
820
+ "learning_rate": 4.3288336709117246e-06,
821
+ "loss": 0.4812,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 1.7888748419721872,
826
+ "grad_norm": 0.43553972244262695,
827
+ "learning_rate": 4.239999152193664e-06,
828
+ "loss": 0.5324,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 1.8040455120101138,
833
+ "grad_norm": 0.47039350867271423,
834
+ "learning_rate": 4.1514095544966556e-06,
835
+ "loss": 0.4907,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 1.8192161820480406,
840
+ "grad_norm": 0.45996445417404175,
841
+ "learning_rate": 4.063093427071376e-06,
842
+ "loss": 0.53,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 1.834386852085967,
847
+ "grad_norm": 0.4866219460964203,
848
+ "learning_rate": 3.975079231038848e-06,
849
+ "loss": 0.4665,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 1.8495575221238938,
854
+ "grad_norm": 0.4342859387397766,
855
+ "learning_rate": 3.887395330218429e-06,
856
+ "loss": 0.5168,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 1.8647281921618206,
861
+ "grad_norm": 0.45591673254966736,
862
+ "learning_rate": 3.8000699819871704e-06,
863
+ "loss": 0.5011,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 1.879898862199747,
868
+ "grad_norm": 0.40730446577072144,
869
+ "learning_rate": 3.7131313281734895e-06,
870
+ "loss": 0.4997,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 1.8950695322376738,
875
+ "grad_norm": 0.43347927927970886,
876
+ "learning_rate": 3.62660738598805e-06,
877
+ "loss": 0.4689,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 1.9102402022756007,
882
+ "grad_norm": 0.4671528935432434,
883
+ "learning_rate": 3.540526038994834e-06,
884
+ "loss": 0.5054,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 1.925410872313527,
889
+ "grad_norm": 0.47119274735450745,
890
+ "learning_rate": 3.4549150281252635e-06,
891
+ "loss": 0.4463,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 1.9405815423514539,
896
+ "grad_norm": 0.46681082248687744,
897
+ "learning_rate": 3.3698019427382912e-06,
898
+ "loss": 0.4955,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 1.9557522123893807,
903
+ "grad_norm": 0.46624964475631714,
904
+ "learning_rate": 3.2852142117293435e-06,
905
+ "loss": 0.4706,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 1.970922882427307,
910
+ "grad_norm": 0.48810526728630066,
911
+ "learning_rate": 3.2011790946909673e-06,
912
+ "loss": 0.5306,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 1.986093552465234,
917
+ "grad_norm": 0.49850064516067505,
918
+ "learning_rate": 3.11772367312804e-06,
919
+ "loss": 0.4863,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 2.015170670037927,
924
+ "grad_norm": 0.5622653961181641,
925
+ "learning_rate": 3.0348748417303826e-06,
926
+ "loss": 0.9358,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 2.030341340075853,
931
+ "grad_norm": 0.4461542069911957,
932
+ "learning_rate": 2.9526592997055488e-06,
933
+ "loss": 0.4256,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 2.04551201011378,
938
+ "grad_norm": 0.4193766713142395,
939
+ "learning_rate": 2.871103542174637e-06,
940
+ "loss": 0.3838,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 2.060682680151707,
945
+ "grad_norm": 0.47868236899375916,
946
+ "learning_rate": 2.790233851633868e-06,
947
+ "loss": 0.4796,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 2.0758533501896332,
952
+ "grad_norm": 0.4564484655857086,
953
+ "learning_rate": 2.7100762894846633e-06,
954
+ "loss": 0.4175,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 2.09102402022756,
959
+ "grad_norm": 0.42239049077033997,
960
+ "learning_rate": 2.6306566876350072e-06,
961
+ "loss": 0.4059,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 2.106194690265487,
966
+ "grad_norm": 0.4516836404800415,
967
+ "learning_rate": 2.55200064017474e-06,
968
+ "loss": 0.4155,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 2.1213653603034133,
973
+ "grad_norm": 0.41927093267440796,
974
+ "learning_rate": 2.4741334951274948e-06,
975
+ "loss": 0.4085,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 2.13653603034134,
980
+ "grad_norm": 0.42958956956863403,
981
+ "learning_rate": 2.3970803462819586e-06,
982
+ "loss": 0.413,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 2.151706700379267,
987
+ "grad_norm": 0.43164947628974915,
988
+ "learning_rate": 2.320866025105016e-06,
989
+ "loss": 0.3982,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 2.1668773704171933,
994
+ "grad_norm": 0.4566631317138672,
995
+ "learning_rate": 2.245515092739488e-06,
996
+ "loss": 0.4189,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 2.18204804045512,
1001
+ "grad_norm": 0.4045684039592743,
1002
+ "learning_rate": 2.171051832088928e-06,
1003
+ "loss": 0.4274,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 2.197218710493047,
1008
+ "grad_norm": 0.46526044607162476,
1009
+ "learning_rate": 2.097500239992132e-06,
1010
+ "loss": 0.4309,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 2.2123893805309733,
1015
+ "grad_norm": 0.4466479420661926,
1016
+ "learning_rate": 2.0248840194898155e-06,
1017
+ "loss": 0.428,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 2.2275600505689,
1022
+ "grad_norm": 0.4933473765850067,
1023
+ "learning_rate": 1.95322657218596e-06,
1024
+ "loss": 0.4206,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 2.242730720606827,
1029
+ "grad_norm": 0.45855018496513367,
1030
+ "learning_rate": 1.8825509907063328e-06,
1031
+ "loss": 0.4085,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 2.2579013906447534,
1036
+ "grad_norm": 0.4341532588005066,
1037
+ "learning_rate": 1.8128800512565514e-06,
1038
+ "loss": 0.3596,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 2.27307206068268,
1043
+ "grad_norm": 0.4618159234523773,
1044
+ "learning_rate": 1.7442362062821323e-06,
1045
+ "loss": 0.4303,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 2.288242730720607,
1050
+ "grad_norm": 0.523358166217804,
1051
+ "learning_rate": 1.6766415772328732e-06,
1052
+ "loss": 0.4721,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 2.3034134007585334,
1057
+ "grad_norm": 0.47894734144210815,
1058
+ "learning_rate": 1.610117947433897e-06,
1059
+ "loss": 0.3937,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 2.3185840707964602,
1064
+ "grad_norm": 0.4730558395385742,
1065
+ "learning_rate": 1.544686755065677e-06,
1066
+ "loss": 0.4465,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 2.3337547408343866,
1071
+ "grad_norm": 0.5242443680763245,
1072
+ "learning_rate": 1.4803690862552755e-06,
1073
+ "loss": 0.4034,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 2.3489254108723134,
1078
+ "grad_norm": 0.44352981448173523,
1079
+ "learning_rate": 1.4171856682810386e-06,
1080
+ "loss": 0.3969,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 2.3640960809102403,
1085
+ "grad_norm": 0.45506805181503296,
1086
+ "learning_rate": 1.3551568628929434e-06,
1087
+ "loss": 0.421,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 2.379266750948167,
1092
+ "grad_norm": 0.45182856917381287,
1093
+ "learning_rate": 1.2943026597507268e-06,
1094
+ "loss": 0.4364,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 2.3944374209860935,
1099
+ "grad_norm": 0.5200023055076599,
1100
+ "learning_rate": 1.234642669981946e-06,
1101
+ "loss": 0.4293,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 2.4096080910240203,
1106
+ "grad_norm": 0.5059816837310791,
1107
+ "learning_rate": 1.1761961198620081e-06,
1108
+ "loss": 0.4273,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 2.4247787610619467,
1113
+ "grad_norm": 0.5020045638084412,
1114
+ "learning_rate": 1.118981844618236e-06,
1115
+ "loss": 0.4646,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 2.4399494310998735,
1120
+ "grad_norm": 0.4282710552215576,
1121
+ "learning_rate": 1.06301828235994e-06,
1122
+ "loss": 0.3575,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 2.4551201011378003,
1127
+ "grad_norm": 0.4831399619579315,
1128
+ "learning_rate": 1.0083234681364934e-06,
1129
+ "loss": 0.4138,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 2.470290771175727,
1134
+ "grad_norm": 0.4688436985015869,
1135
+ "learning_rate": 9.549150281252633e-07,
1136
+ "loss": 0.3955,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 2.4854614412136535,
1141
+ "grad_norm": 0.46004679799079895,
1142
+ "learning_rate": 9.028101739513406e-07,
1143
+ "loss": 0.4322,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 2.5006321112515804,
1148
+ "grad_norm": 0.5005855560302734,
1149
+ "learning_rate": 8.520256971408453e-07,
1150
+ "loss": 0.403,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 2.5158027812895067,
1155
+ "grad_norm": 0.45457518100738525,
1156
+ "learning_rate": 8.025779637096138e-07,
1157
+ "loss": 0.4441,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 2.5309734513274336,
1162
+ "grad_norm": 0.48755598068237305,
1163
+ "learning_rate": 7.544829088890326e-07,
1164
+ "loss": 0.4202,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 2.5461441213653604,
1169
+ "grad_norm": 0.4439229965209961,
1170
+ "learning_rate": 7.077560319906696e-07,
1171
+ "loss": 0.385,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 2.561314791403287,
1176
+ "grad_norm": 0.47930651903152466,
1177
+ "learning_rate": 6.624123914114122e-07,
1178
+ "loss": 0.4306,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 2.5764854614412136,
1183
+ "grad_norm": 0.4874081611633301,
1184
+ "learning_rate": 6.184665997806832e-07,
1185
+ "loss": 0.4068,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 2.5916561314791404,
1190
+ "grad_norm": 0.4433707296848297,
1191
+ "learning_rate": 5.759328192513075e-07,
1192
+ "loss": 0.4043,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 2.606826801517067,
1197
+ "grad_norm": 0.425663024187088,
1198
+ "learning_rate": 5.348247569355736e-07,
1199
+ "loss": 0.3979,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 2.6219974715549936,
1204
+ "grad_norm": 0.4746127128601074,
1205
+ "learning_rate": 4.951556604879049e-07,
1206
+ "loss": 0.4319,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 2.6371681415929205,
1211
+ "grad_norm": 0.8202550411224365,
1212
+ "learning_rate": 4.569383138356276e-07,
1213
+ "loss": 0.3562,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 2.6523388116308473,
1218
+ "grad_norm": 0.48485466837882996,
1219
+ "learning_rate": 4.201850330591678e-07,
1220
+ "loss": 0.446,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 2.6675094816687737,
1225
+ "grad_norm": 0.5126750469207764,
1226
+ "learning_rate": 3.8490766242301356e-07,
1227
+ "loss": 0.4152,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 2.6826801517067005,
1232
+ "grad_norm": 0.4601971209049225,
1233
+ "learning_rate": 3.511175705587433e-07,
1234
+ "loss": 0.4524,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 2.697850821744627,
1239
+ "grad_norm": 0.4501294493675232,
1240
+ "learning_rate": 3.18825646801314e-07,
1241
+ "loss": 0.4194,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 2.7130214917825537,
1246
+ "grad_norm": 0.483879029750824,
1247
+ "learning_rate": 2.8804229767982637e-07,
1248
+ "loss": 0.422,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 2.7281921618204805,
1253
+ "grad_norm": 0.5405057668685913,
1254
+ "learning_rate": 2.587774435638679e-07,
1255
+ "loss": 0.3963,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 2.7433628318584073,
1260
+ "grad_norm": 0.4544113576412201,
1261
+ "learning_rate": 2.3104051546654016e-07,
1262
+ "loss": 0.4196,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 2.7585335018963337,
1267
+ "grad_norm": 0.4182121753692627,
1268
+ "learning_rate": 2.0484045200517222e-07,
1269
+ "loss": 0.3744,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 2.7737041719342606,
1274
+ "grad_norm": 0.45946115255355835,
1275
+ "learning_rate": 1.801856965207338e-07,
1276
+ "loss": 0.4358,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 2.788874841972187,
1281
+ "grad_norm": 0.5174111127853394,
1282
+ "learning_rate": 1.5708419435684463e-07,
1283
+ "loss": 0.3991,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 2.8040455120101138,
1288
+ "grad_norm": 0.511076807975769,
1289
+ "learning_rate": 1.3554339029927532e-07,
1290
+ "loss": 0.4408,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 2.8192161820480406,
1295
+ "grad_norm": 0.47969406843185425,
1296
+ "learning_rate": 1.1557022617676217e-07,
1297
+ "loss": 0.4113,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 2.834386852085967,
1302
+ "grad_norm": 0.4797833263874054,
1303
+ "learning_rate": 9.717113862389993e-08,
1304
+ "loss": 0.4321,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 2.849557522123894,
1309
+ "grad_norm": 0.4134206473827362,
1310
+ "learning_rate": 8.035205700685167e-08,
1311
+ "loss": 0.383,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 2.8647281921618206,
1316
+ "grad_norm": 0.4146213233470917,
1317
+ "learning_rate": 6.511840151252169e-08,
1318
+ "loss": 0.4215,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 2.879898862199747,
1323
+ "grad_norm": 0.45892632007598877,
1324
+ "learning_rate": 5.1475081401825553e-08,
1325
+ "loss": 0.4055,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 2.895069532237674,
1330
+ "grad_norm": 0.44647830724716187,
1331
+ "learning_rate": 3.9426493427611177e-08,
1332
+ "loss": 0.416,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 2.9102402022756007,
1337
+ "grad_norm": 0.4823377728462219,
1338
+ "learning_rate": 2.8976520417742794e-08,
1339
+ "loss": 0.4056,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 2.925410872313527,
1344
+ "grad_norm": 0.47122204303741455,
1345
+ "learning_rate": 2.012853002380466e-08,
1346
+ "loss": 0.4114,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 2.940581542351454,
1351
+ "grad_norm": 0.5014013648033142,
1352
+ "learning_rate": 1.2885373635829756e-08,
1353
+ "loss": 0.3915,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 2.9557522123893807,
1358
+ "grad_norm": 0.5270026326179504,
1359
+ "learning_rate": 7.249385463395375e-09,
1360
+ "loss": 0.4121,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 2.970922882427307,
1365
+ "grad_norm": 0.46766987442970276,
1366
+ "learning_rate": 3.2223817833931803e-09,
1367
+ "loss": 0.3977,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 2.986093552465234,
1372
+ "grad_norm": 0.4500380754470825,
1373
+ "learning_rate": 8.056603547090813e-10,
1374
+ "loss": 0.407,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 2.986093552465234,
1379
+ "step": 195,
1380
+ "total_flos": 2.193163794073518e+17,
1381
+ "train_loss": 0.5202219234063075,
1382
+ "train_runtime": 39110.2979,
1383
+ "train_samples_per_second": 0.243,
1384
+ "train_steps_per_second": 0.005
1385
+ }
1386
+ ],
1387
+ "logging_steps": 1,
1388
+ "max_steps": 195,
1389
+ "num_input_tokens_seen": 0,
1390
+ "num_train_epochs": 3,
1391
+ "save_steps": 200,
1392
+ "stateful_callbacks": {
1393
+ "TrainerControl": {
1394
+ "args": {
1395
+ "should_epoch_stop": false,
1396
+ "should_evaluate": false,
1397
+ "should_log": false,
1398
+ "should_save": true,
1399
+ "should_training_stop": true
1400
+ },
1401
+ "attributes": {}
1402
+ }
1403
+ },
1404
+ "total_flos": 2.193163794073518e+17,
1405
+ "train_batch_size": 1,
1406
+ "trial_name": null,
1407
+ "trial_params": null
1408
+ }
training_loss.png ADDED