jon-t commited on
Commit
2946f56
verified
1 Parent(s): 9cca9bb

End of training

Browse files
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # tiny-clinicalbert-qa
16
 
17
- This model is a fine-tuned version of [nlpie/tiny-clinicalbert](https://huggingface.co/nlpie/tiny-clinicalbert) on the None dataset.
18
 
19
  ## Model description
20
 
 
14
 
15
  # tiny-clinicalbert-qa
16
 
17
+ This model is a fine-tuned version of [nlpie/tiny-clinicalbert](https://huggingface.co/nlpie/tiny-clinicalbert) on the Eladio/emrqa-msquad and the rajpurkar/squad_v2 datasets.
18
 
19
  ## Model description
20
 
all_results.json CHANGED
@@ -1,26 +1,26 @@
1
  {
2
- "epoch": 5.0,
3
- "eval_HasAns_exact": 0.0,
4
- "eval_HasAns_f1": 0.0,
5
- "eval_HasAns_total": 87,
6
- "eval_NoAns_exact": 100.0,
7
- "eval_NoAns_f1": 100.0,
8
- "eval_NoAns_total": 13,
9
- "eval_best_exact": 13.0,
10
  "eval_best_exact_thresh": 0.0,
11
- "eval_best_f1": 13.0,
12
  "eval_best_f1_thresh": 0.0,
13
- "eval_exact": 13.0,
14
- "eval_f1": 13.0,
15
- "eval_runtime": 0.4736,
16
- "eval_samples": 100,
17
- "eval_samples_per_second": 211.147,
18
- "eval_steps_per_second": 27.449,
19
- "eval_total": 100,
20
- "total_flos": 7019498496000.0,
21
- "train_loss": 5.803157261439732,
22
- "train_runtime": 10.3937,
23
- "train_samples": 100,
24
- "train_samples_per_second": 48.106,
25
- "train_steps_per_second": 3.367
26
  }
 
1
  {
2
+ "epoch": 3.0,
3
+ "eval_HasAns_exact": 77.5803656865027,
4
+ "eval_HasAns_f1": 86.16666643213416,
5
+ "eval_HasAns_total": 38667,
6
+ "eval_NoAns_exact": 56.13120269133726,
7
+ "eval_NoAns_f1": 56.13120269133726,
8
+ "eval_NoAns_total": 5945,
9
+ "eval_best_exact": 74.72204787949431,
10
  "eval_best_exact_thresh": 0.0,
11
+ "eval_best_f1": 82.16413724852865,
12
  "eval_best_f1_thresh": 0.0,
13
+ "eval_exact": 74.72204787949431,
14
+ "eval_f1": 82.16413724852801,
15
+ "eval_runtime": 366.7395,
16
+ "eval_samples": 78873,
17
+ "eval_samples_per_second": 215.065,
18
+ "eval_steps_per_second": 26.886,
19
+ "eval_total": 44612,
20
+ "total_flos": 1.6739482297393152e+16,
21
+ "train_loss": 1.0437313645233104,
22
+ "train_runtime": 12605.9624,
23
+ "train_samples": 397452,
24
+ "train_samples_per_second": 94.587,
25
+ "train_steps_per_second": 5.912
26
  }
eval_nbest_predictions.json CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:641206a13d350c1118fd2cd0883fa5dfc8c0559fefc7c322c7545494a9104fcd
3
- size 279757
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7779eebb1aef7212e3a442866d0c496e1218f65c1fd507c77488fc2cefb99583
3
+ size 216086768
eval_null_odds.json CHANGED
The diff for this file is too large to render. See raw diff
 
eval_predictions.json CHANGED
The diff for this file is too large to render. See raw diff
 
eval_results.json CHANGED
@@ -1,20 +1,20 @@
1
  {
2
- "epoch": 5.0,
3
- "eval_HasAns_exact": 0.0,
4
- "eval_HasAns_f1": 0.0,
5
- "eval_HasAns_total": 87,
6
- "eval_NoAns_exact": 100.0,
7
- "eval_NoAns_f1": 100.0,
8
- "eval_NoAns_total": 13,
9
- "eval_best_exact": 13.0,
10
  "eval_best_exact_thresh": 0.0,
11
- "eval_best_f1": 13.0,
12
  "eval_best_f1_thresh": 0.0,
13
- "eval_exact": 13.0,
14
- "eval_f1": 13.0,
15
- "eval_runtime": 0.4736,
16
- "eval_samples": 100,
17
- "eval_samples_per_second": 211.147,
18
- "eval_steps_per_second": 27.449,
19
- "eval_total": 100
20
  }
 
1
  {
2
+ "epoch": 3.0,
3
+ "eval_HasAns_exact": 77.5803656865027,
4
+ "eval_HasAns_f1": 86.16666643213416,
5
+ "eval_HasAns_total": 38667,
6
+ "eval_NoAns_exact": 56.13120269133726,
7
+ "eval_NoAns_f1": 56.13120269133726,
8
+ "eval_NoAns_total": 5945,
9
+ "eval_best_exact": 74.72204787949431,
10
  "eval_best_exact_thresh": 0.0,
11
+ "eval_best_f1": 82.16413724852865,
12
  "eval_best_f1_thresh": 0.0,
13
+ "eval_exact": 74.72204787949431,
14
+ "eval_f1": 82.16413724852801,
15
+ "eval_runtime": 366.7395,
16
+ "eval_samples": 78873,
17
+ "eval_samples_per_second": 215.065,
18
+ "eval_steps_per_second": 26.886,
19
+ "eval_total": 44612
20
  }
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 5.0,
3
- "total_flos": 7019498496000.0,
4
- "train_loss": 5.803157261439732,
5
- "train_runtime": 10.3937,
6
- "train_samples": 100,
7
- "train_samples_per_second": 48.106,
8
- "train_steps_per_second": 3.367
9
  }
 
1
  {
2
+ "epoch": 3.0,
3
+ "total_flos": 1.6739482297393152e+16,
4
+ "train_loss": 1.0437313645233104,
5
+ "train_runtime": 12605.9624,
6
+ "train_samples": 397452,
7
+ "train_samples_per_second": 94.587,
8
+ "train_steps_per_second": 5.912
9
  }
trainer_state.json CHANGED
@@ -2,27 +2,1070 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 5.0,
6
  "eval_steps": 500,
7
- "global_step": 35,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
- "epoch": 5.0,
14
- "step": 35,
15
- "total_flos": 7019498496000.0,
16
- "train_loss": 5.803157261439732,
17
- "train_runtime": 10.3937,
18
- "train_samples_per_second": 48.106,
19
- "train_steps_per_second": 3.367
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20
  }
21
  ],
22
  "logging_steps": 500,
23
- "max_steps": 35,
24
  "num_input_tokens_seen": 0,
25
- "num_train_epochs": 5,
26
  "save_steps": 500,
27
  "stateful_callbacks": {
28
  "TrainerControl": {
@@ -36,7 +1079,7 @@
36
  "attributes": {}
37
  }
38
  },
39
- "total_flos": 7019498496000.0,
40
  "train_batch_size": 16,
41
  "trial_name": null,
42
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
  "eval_steps": 500,
7
+ "global_step": 74523,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
+ "epoch": 0.020128014170121975,
14
+ "grad_norm": 4.302577018737793,
15
+ "learning_rate": 7.94643264495525e-05,
16
+ "loss": 3.4263,
17
+ "step": 500
18
+ },
19
+ {
20
+ "epoch": 0.04025602834024395,
21
+ "grad_norm": 4.915486812591553,
22
+ "learning_rate": 7.892757940501591e-05,
23
+ "loss": 3.0255,
24
+ "step": 1000
25
+ },
26
+ {
27
+ "epoch": 0.06038404251036593,
28
+ "grad_norm": 6.236612796783447,
29
+ "learning_rate": 7.839083236047933e-05,
30
+ "loss": 2.8404,
31
+ "step": 1500
32
+ },
33
+ {
34
+ "epoch": 0.0805120566804879,
35
+ "grad_norm": 8.648529052734375,
36
+ "learning_rate": 7.785408531594274e-05,
37
+ "loss": 2.5965,
38
+ "step": 2000
39
+ },
40
+ {
41
+ "epoch": 0.10064007085060987,
42
+ "grad_norm": 9.566611289978027,
43
+ "learning_rate": 7.731733827140614e-05,
44
+ "loss": 2.3771,
45
+ "step": 2500
46
+ },
47
+ {
48
+ "epoch": 0.12076808502073186,
49
+ "grad_norm": 11.978983879089355,
50
+ "learning_rate": 7.678059122686957e-05,
51
+ "loss": 2.2719,
52
+ "step": 3000
53
+ },
54
+ {
55
+ "epoch": 0.14089609919085383,
56
+ "grad_norm": 9.598978996276855,
57
+ "learning_rate": 7.624384418233297e-05,
58
+ "loss": 2.1877,
59
+ "step": 3500
60
+ },
61
+ {
62
+ "epoch": 0.1610241133609758,
63
+ "grad_norm": 13.149515151977539,
64
+ "learning_rate": 7.57070971377964e-05,
65
+ "loss": 2.1664,
66
+ "step": 4000
67
+ },
68
+ {
69
+ "epoch": 0.18115212753109777,
70
+ "grad_norm": 7.942020416259766,
71
+ "learning_rate": 7.51703500932598e-05,
72
+ "loss": 2.0778,
73
+ "step": 4500
74
+ },
75
+ {
76
+ "epoch": 0.20128014170121974,
77
+ "grad_norm": 9.4037504196167,
78
+ "learning_rate": 7.463360304872321e-05,
79
+ "loss": 2.064,
80
+ "step": 5000
81
+ },
82
+ {
83
+ "epoch": 0.22140815587134174,
84
+ "grad_norm": 8.469627380371094,
85
+ "learning_rate": 7.409685600418663e-05,
86
+ "loss": 1.9481,
87
+ "step": 5500
88
+ },
89
+ {
90
+ "epoch": 0.24153617004146372,
91
+ "grad_norm": 13.245635032653809,
92
+ "learning_rate": 7.356010895965004e-05,
93
+ "loss": 1.9162,
94
+ "step": 6000
95
+ },
96
+ {
97
+ "epoch": 0.26166418421158566,
98
+ "grad_norm": 14.120226860046387,
99
+ "learning_rate": 7.302336191511346e-05,
100
+ "loss": 1.8887,
101
+ "step": 6500
102
+ },
103
+ {
104
+ "epoch": 0.28179219838170766,
105
+ "grad_norm": 10.026687622070312,
106
+ "learning_rate": 7.248661487057687e-05,
107
+ "loss": 1.8418,
108
+ "step": 7000
109
+ },
110
+ {
111
+ "epoch": 0.30192021255182966,
112
+ "grad_norm": 11.791897773742676,
113
+ "learning_rate": 7.194986782604029e-05,
114
+ "loss": 1.8123,
115
+ "step": 7500
116
+ },
117
+ {
118
+ "epoch": 0.3220482267219516,
119
+ "grad_norm": 8.655497550964355,
120
+ "learning_rate": 7.141312078150371e-05,
121
+ "loss": 1.7765,
122
+ "step": 8000
123
+ },
124
+ {
125
+ "epoch": 0.3421762408920736,
126
+ "grad_norm": 10.105185508728027,
127
+ "learning_rate": 7.087637373696712e-05,
128
+ "loss": 1.7373,
129
+ "step": 8500
130
+ },
131
+ {
132
+ "epoch": 0.36230425506219555,
133
+ "grad_norm": 10.553141593933105,
134
+ "learning_rate": 7.033962669243054e-05,
135
+ "loss": 1.7426,
136
+ "step": 9000
137
+ },
138
+ {
139
+ "epoch": 0.38243226923231755,
140
+ "grad_norm": 10.911526679992676,
141
+ "learning_rate": 6.980287964789395e-05,
142
+ "loss": 1.666,
143
+ "step": 9500
144
+ },
145
+ {
146
+ "epoch": 0.4025602834024395,
147
+ "grad_norm": 14.893563270568848,
148
+ "learning_rate": 6.926613260335736e-05,
149
+ "loss": 1.664,
150
+ "step": 10000
151
+ },
152
+ {
153
+ "epoch": 0.4226882975725615,
154
+ "grad_norm": 11.424589157104492,
155
+ "learning_rate": 6.872938555882078e-05,
156
+ "loss": 1.6313,
157
+ "step": 10500
158
+ },
159
+ {
160
+ "epoch": 0.4428163117426835,
161
+ "grad_norm": 11.619711875915527,
162
+ "learning_rate": 6.819263851428418e-05,
163
+ "loss": 1.6002,
164
+ "step": 11000
165
+ },
166
+ {
167
+ "epoch": 0.46294432591280543,
168
+ "grad_norm": 10.775858879089355,
169
+ "learning_rate": 6.76558914697476e-05,
170
+ "loss": 1.5659,
171
+ "step": 11500
172
+ },
173
+ {
174
+ "epoch": 0.48307234008292743,
175
+ "grad_norm": 10.806571960449219,
176
+ "learning_rate": 6.711914442521101e-05,
177
+ "loss": 1.5198,
178
+ "step": 12000
179
+ },
180
+ {
181
+ "epoch": 0.5032003542530494,
182
+ "grad_norm": 9.920073509216309,
183
+ "learning_rate": 6.658239738067442e-05,
184
+ "loss": 1.4948,
185
+ "step": 12500
186
+ },
187
+ {
188
+ "epoch": 0.5233283684231713,
189
+ "grad_norm": 18.91466522216797,
190
+ "learning_rate": 6.604565033613784e-05,
191
+ "loss": 1.4626,
192
+ "step": 13000
193
+ },
194
+ {
195
+ "epoch": 0.5434563825932933,
196
+ "grad_norm": 13.546745300292969,
197
+ "learning_rate": 6.550890329160125e-05,
198
+ "loss": 1.4395,
199
+ "step": 13500
200
+ },
201
+ {
202
+ "epoch": 0.5635843967634153,
203
+ "grad_norm": 17.364229202270508,
204
+ "learning_rate": 6.497215624706467e-05,
205
+ "loss": 1.4607,
206
+ "step": 14000
207
+ },
208
+ {
209
+ "epoch": 0.5837124109335373,
210
+ "grad_norm": 6.96090841293335,
211
+ "learning_rate": 6.443540920252808e-05,
212
+ "loss": 1.4053,
213
+ "step": 14500
214
+ },
215
+ {
216
+ "epoch": 0.6038404251036593,
217
+ "grad_norm": 11.06962776184082,
218
+ "learning_rate": 6.389866215799149e-05,
219
+ "loss": 1.3991,
220
+ "step": 15000
221
+ },
222
+ {
223
+ "epoch": 0.6239684392737812,
224
+ "grad_norm": 7.865960597991943,
225
+ "learning_rate": 6.336191511345491e-05,
226
+ "loss": 1.3924,
227
+ "step": 15500
228
+ },
229
+ {
230
+ "epoch": 0.6440964534439032,
231
+ "grad_norm": 11.192516326904297,
232
+ "learning_rate": 6.282516806891833e-05,
233
+ "loss": 1.3526,
234
+ "step": 16000
235
+ },
236
+ {
237
+ "epoch": 0.6642244676140252,
238
+ "grad_norm": 16.678586959838867,
239
+ "learning_rate": 6.228842102438174e-05,
240
+ "loss": 1.3077,
241
+ "step": 16500
242
+ },
243
+ {
244
+ "epoch": 0.6843524817841472,
245
+ "grad_norm": 10.391363143920898,
246
+ "learning_rate": 6.175167397984516e-05,
247
+ "loss": 1.2956,
248
+ "step": 17000
249
+ },
250
+ {
251
+ "epoch": 0.7044804959542692,
252
+ "grad_norm": 14.913769721984863,
253
+ "learning_rate": 6.121492693530857e-05,
254
+ "loss": 1.2836,
255
+ "step": 17500
256
+ },
257
+ {
258
+ "epoch": 0.7246085101243911,
259
+ "grad_norm": 8.673684120178223,
260
+ "learning_rate": 6.067817989077198e-05,
261
+ "loss": 1.3183,
262
+ "step": 18000
263
+ },
264
+ {
265
+ "epoch": 0.7447365242945131,
266
+ "grad_norm": 16.5867977142334,
267
+ "learning_rate": 6.0141432846235395e-05,
268
+ "loss": 1.2462,
269
+ "step": 18500
270
+ },
271
+ {
272
+ "epoch": 0.7648645384646351,
273
+ "grad_norm": 10.297107696533203,
274
+ "learning_rate": 5.960468580169881e-05,
275
+ "loss": 1.2573,
276
+ "step": 19000
277
+ },
278
+ {
279
+ "epoch": 0.7849925526347571,
280
+ "grad_norm": 11.904420852661133,
281
+ "learning_rate": 5.9067938757162224e-05,
282
+ "loss": 1.2147,
283
+ "step": 19500
284
+ },
285
+ {
286
+ "epoch": 0.805120566804879,
287
+ "grad_norm": 11.955267906188965,
288
+ "learning_rate": 5.853119171262564e-05,
289
+ "loss": 1.2139,
290
+ "step": 20000
291
+ },
292
+ {
293
+ "epoch": 0.825248580975001,
294
+ "grad_norm": 15.51834487915039,
295
+ "learning_rate": 5.7994444668089053e-05,
296
+ "loss": 1.1777,
297
+ "step": 20500
298
+ },
299
+ {
300
+ "epoch": 0.845376595145123,
301
+ "grad_norm": 18.978769302368164,
302
+ "learning_rate": 5.745769762355246e-05,
303
+ "loss": 1.18,
304
+ "step": 21000
305
+ },
306
+ {
307
+ "epoch": 0.865504609315245,
308
+ "grad_norm": 10.92957592010498,
309
+ "learning_rate": 5.692095057901588e-05,
310
+ "loss": 1.1882,
311
+ "step": 21500
312
+ },
313
+ {
314
+ "epoch": 0.885632623485367,
315
+ "grad_norm": 13.877032279968262,
316
+ "learning_rate": 5.638420353447929e-05,
317
+ "loss": 1.1327,
318
+ "step": 22000
319
+ },
320
+ {
321
+ "epoch": 0.9057606376554889,
322
+ "grad_norm": 10.083035469055176,
323
+ "learning_rate": 5.584745648994271e-05,
324
+ "loss": 1.1209,
325
+ "step": 22500
326
+ },
327
+ {
328
+ "epoch": 0.9258886518256109,
329
+ "grad_norm": 11.10254955291748,
330
+ "learning_rate": 5.531070944540612e-05,
331
+ "loss": 1.1248,
332
+ "step": 23000
333
+ },
334
+ {
335
+ "epoch": 0.9460166659957329,
336
+ "grad_norm": 10.709171295166016,
337
+ "learning_rate": 5.4773962400869534e-05,
338
+ "loss": 1.1159,
339
+ "step": 23500
340
+ },
341
+ {
342
+ "epoch": 0.9661446801658549,
343
+ "grad_norm": 6.209949016571045,
344
+ "learning_rate": 5.423721535633295e-05,
345
+ "loss": 1.1064,
346
+ "step": 24000
347
+ },
348
+ {
349
+ "epoch": 0.9862726943359769,
350
+ "grad_norm": 9.580244064331055,
351
+ "learning_rate": 5.370046831179636e-05,
352
+ "loss": 1.099,
353
+ "step": 24500
354
+ },
355
+ {
356
+ "epoch": 1.0064007085060989,
357
+ "grad_norm": 7.485245704650879,
358
+ "learning_rate": 5.316372126725978e-05,
359
+ "loss": 1.0562,
360
+ "step": 25000
361
+ },
362
+ {
363
+ "epoch": 1.0265287226762208,
364
+ "grad_norm": 12.7084321975708,
365
+ "learning_rate": 5.262697422272319e-05,
366
+ "loss": 1.0241,
367
+ "step": 25500
368
+ },
369
+ {
370
+ "epoch": 1.0466567368463426,
371
+ "grad_norm": 11.621143341064453,
372
+ "learning_rate": 5.20902271781866e-05,
373
+ "loss": 0.9977,
374
+ "step": 26000
375
+ },
376
+ {
377
+ "epoch": 1.0667847510164647,
378
+ "grad_norm": 11.446859359741211,
379
+ "learning_rate": 5.155348013365002e-05,
380
+ "loss": 0.9963,
381
+ "step": 26500
382
+ },
383
+ {
384
+ "epoch": 1.0869127651865866,
385
+ "grad_norm": 18.473350524902344,
386
+ "learning_rate": 5.101673308911343e-05,
387
+ "loss": 1.0238,
388
+ "step": 27000
389
+ },
390
+ {
391
+ "epoch": 1.1070407793567087,
392
+ "grad_norm": 9.876648902893066,
393
+ "learning_rate": 5.047998604457685e-05,
394
+ "loss": 0.9826,
395
+ "step": 27500
396
+ },
397
+ {
398
+ "epoch": 1.1271687935268306,
399
+ "grad_norm": 8.748170852661133,
400
+ "learning_rate": 4.994323900004026e-05,
401
+ "loss": 0.9525,
402
+ "step": 28000
403
+ },
404
+ {
405
+ "epoch": 1.1472968076969525,
406
+ "grad_norm": 15.020739555358887,
407
+ "learning_rate": 4.940649195550367e-05,
408
+ "loss": 0.9606,
409
+ "step": 28500
410
+ },
411
+ {
412
+ "epoch": 1.1674248218670746,
413
+ "grad_norm": 12.53282642364502,
414
+ "learning_rate": 4.886974491096709e-05,
415
+ "loss": 0.9428,
416
+ "step": 29000
417
+ },
418
+ {
419
+ "epoch": 1.1875528360371965,
420
+ "grad_norm": 22.736968994140625,
421
+ "learning_rate": 4.83329978664305e-05,
422
+ "loss": 0.9665,
423
+ "step": 29500
424
+ },
425
+ {
426
+ "epoch": 1.2076808502073186,
427
+ "grad_norm": 10.772764205932617,
428
+ "learning_rate": 4.779625082189392e-05,
429
+ "loss": 0.9221,
430
+ "step": 30000
431
+ },
432
+ {
433
+ "epoch": 1.2278088643774405,
434
+ "grad_norm": 19.697633743286133,
435
+ "learning_rate": 4.725950377735733e-05,
436
+ "loss": 0.9411,
437
+ "step": 30500
438
+ },
439
+ {
440
+ "epoch": 1.2479368785475624,
441
+ "grad_norm": 12.230613708496094,
442
+ "learning_rate": 4.672275673282074e-05,
443
+ "loss": 0.9224,
444
+ "step": 31000
445
+ },
446
+ {
447
+ "epoch": 1.2680648927176845,
448
+ "grad_norm": 12.695961952209473,
449
+ "learning_rate": 4.618600968828416e-05,
450
+ "loss": 0.911,
451
+ "step": 31500
452
+ },
453
+ {
454
+ "epoch": 1.2881929068878064,
455
+ "grad_norm": 10.137328147888184,
456
+ "learning_rate": 4.564926264374757e-05,
457
+ "loss": 0.8909,
458
+ "step": 32000
459
+ },
460
+ {
461
+ "epoch": 1.3083209210579283,
462
+ "grad_norm": 14.675042152404785,
463
+ "learning_rate": 4.511251559921099e-05,
464
+ "loss": 0.8834,
465
+ "step": 32500
466
+ },
467
+ {
468
+ "epoch": 1.3284489352280504,
469
+ "grad_norm": 9.264530181884766,
470
+ "learning_rate": 4.4575768554674396e-05,
471
+ "loss": 0.8855,
472
+ "step": 33000
473
+ },
474
+ {
475
+ "epoch": 1.3485769493981723,
476
+ "grad_norm": 18.74481201171875,
477
+ "learning_rate": 4.403902151013781e-05,
478
+ "loss": 0.8788,
479
+ "step": 33500
480
+ },
481
+ {
482
+ "epoch": 1.3687049635682944,
483
+ "grad_norm": 8.973100662231445,
484
+ "learning_rate": 4.350227446560123e-05,
485
+ "loss": 0.863,
486
+ "step": 34000
487
+ },
488
+ {
489
+ "epoch": 1.3888329777384163,
490
+ "grad_norm": 7.543423175811768,
491
+ "learning_rate": 4.296552742106464e-05,
492
+ "loss": 0.888,
493
+ "step": 34500
494
+ },
495
+ {
496
+ "epoch": 1.4089609919085384,
497
+ "grad_norm": 11.946640014648438,
498
+ "learning_rate": 4.242878037652806e-05,
499
+ "loss": 0.8757,
500
+ "step": 35000
501
+ },
502
+ {
503
+ "epoch": 1.4290890060786603,
504
+ "grad_norm": 13.646244049072266,
505
+ "learning_rate": 4.189203333199147e-05,
506
+ "loss": 0.848,
507
+ "step": 35500
508
+ },
509
+ {
510
+ "epoch": 1.4492170202487822,
511
+ "grad_norm": 12.406970977783203,
512
+ "learning_rate": 4.1355286287454876e-05,
513
+ "loss": 0.8628,
514
+ "step": 36000
515
+ },
516
+ {
517
+ "epoch": 1.4693450344189043,
518
+ "grad_norm": 8.028214454650879,
519
+ "learning_rate": 4.08185392429183e-05,
520
+ "loss": 0.8727,
521
+ "step": 36500
522
+ },
523
+ {
524
+ "epoch": 1.4894730485890262,
525
+ "grad_norm": 13.901910781860352,
526
+ "learning_rate": 4.0281792198381705e-05,
527
+ "loss": 0.8496,
528
+ "step": 37000
529
+ },
530
+ {
531
+ "epoch": 1.509601062759148,
532
+ "grad_norm": 7.470578193664551,
533
+ "learning_rate": 3.974504515384512e-05,
534
+ "loss": 0.8504,
535
+ "step": 37500
536
+ },
537
+ {
538
+ "epoch": 1.5297290769292702,
539
+ "grad_norm": 7.381893634796143,
540
+ "learning_rate": 3.920829810930854e-05,
541
+ "loss": 0.8462,
542
+ "step": 38000
543
+ },
544
+ {
545
+ "epoch": 1.5498570910993923,
546
+ "grad_norm": 8.749372482299805,
547
+ "learning_rate": 3.8671551064771956e-05,
548
+ "loss": 0.805,
549
+ "step": 38500
550
+ },
551
+ {
552
+ "epoch": 1.569985105269514,
553
+ "grad_norm": 15.834980964660645,
554
+ "learning_rate": 3.813480402023537e-05,
555
+ "loss": 0.815,
556
+ "step": 39000
557
+ },
558
+ {
559
+ "epoch": 1.590113119439636,
560
+ "grad_norm": 8.48942756652832,
561
+ "learning_rate": 3.7598056975698785e-05,
562
+ "loss": 0.811,
563
+ "step": 39500
564
+ },
565
+ {
566
+ "epoch": 1.6102411336097582,
567
+ "grad_norm": 17.017009735107422,
568
+ "learning_rate": 3.706130993116219e-05,
569
+ "loss": 0.8117,
570
+ "step": 40000
571
+ },
572
+ {
573
+ "epoch": 1.63036914777988,
574
+ "grad_norm": 10.621646881103516,
575
+ "learning_rate": 3.652456288662561e-05,
576
+ "loss": 0.794,
577
+ "step": 40500
578
+ },
579
+ {
580
+ "epoch": 1.650497161950002,
581
+ "grad_norm": 12.966856002807617,
582
+ "learning_rate": 3.598781584208902e-05,
583
+ "loss": 0.8064,
584
+ "step": 41000
585
+ },
586
+ {
587
+ "epoch": 1.670625176120124,
588
+ "grad_norm": 5.664041519165039,
589
+ "learning_rate": 3.5451068797552436e-05,
590
+ "loss": 0.8125,
591
+ "step": 41500
592
+ },
593
+ {
594
+ "epoch": 1.690753190290246,
595
+ "grad_norm": 9.313810348510742,
596
+ "learning_rate": 3.491432175301585e-05,
597
+ "loss": 0.8086,
598
+ "step": 42000
599
+ },
600
+ {
601
+ "epoch": 1.7108812044603678,
602
+ "grad_norm": 7.844326019287109,
603
+ "learning_rate": 3.4377574708479265e-05,
604
+ "loss": 0.7769,
605
+ "step": 42500
606
+ },
607
+ {
608
+ "epoch": 1.73100921863049,
609
+ "grad_norm": 11.637877464294434,
610
+ "learning_rate": 3.384082766394268e-05,
611
+ "loss": 0.7954,
612
+ "step": 43000
613
+ },
614
+ {
615
+ "epoch": 1.7511372328006118,
616
+ "grad_norm": 10.841877937316895,
617
+ "learning_rate": 3.3304080619406094e-05,
618
+ "loss": 0.7756,
619
+ "step": 43500
620
+ },
621
+ {
622
+ "epoch": 1.7712652469707337,
623
+ "grad_norm": 8.754426002502441,
624
+ "learning_rate": 3.276733357486951e-05,
625
+ "loss": 0.7891,
626
+ "step": 44000
627
+ },
628
+ {
629
+ "epoch": 1.7913932611408558,
630
+ "grad_norm": 7.297679901123047,
631
+ "learning_rate": 3.223058653033292e-05,
632
+ "loss": 0.7789,
633
+ "step": 44500
634
+ },
635
+ {
636
+ "epoch": 1.811521275310978,
637
+ "grad_norm": 11.88018798828125,
638
+ "learning_rate": 3.169383948579634e-05,
639
+ "loss": 0.7613,
640
+ "step": 45000
641
+ },
642
+ {
643
+ "epoch": 1.8316492894810998,
644
+ "grad_norm": 13.821844100952148,
645
+ "learning_rate": 3.1157092441259745e-05,
646
+ "loss": 0.7653,
647
+ "step": 45500
648
+ },
649
+ {
650
+ "epoch": 1.8517773036512217,
651
+ "grad_norm": 12.671835899353027,
652
+ "learning_rate": 3.062034539672316e-05,
653
+ "loss": 0.7838,
654
+ "step": 46000
655
+ },
656
+ {
657
+ "epoch": 1.8719053178213438,
658
+ "grad_norm": 12.358460426330566,
659
+ "learning_rate": 3.0083598352186574e-05,
660
+ "loss": 0.7845,
661
+ "step": 46500
662
+ },
663
+ {
664
+ "epoch": 1.8920333319914657,
665
+ "grad_norm": 11.423474311828613,
666
+ "learning_rate": 2.9546851307649992e-05,
667
+ "loss": 0.757,
668
+ "step": 47000
669
+ },
670
+ {
671
+ "epoch": 1.9121613461615876,
672
+ "grad_norm": 13.875541687011719,
673
+ "learning_rate": 2.9010104263113407e-05,
674
+ "loss": 0.776,
675
+ "step": 47500
676
+ },
677
+ {
678
+ "epoch": 1.9322893603317097,
679
+ "grad_norm": 8.722099304199219,
680
+ "learning_rate": 2.8473357218576815e-05,
681
+ "loss": 0.7385,
682
+ "step": 48000
683
+ },
684
+ {
685
+ "epoch": 1.9524173745018316,
686
+ "grad_norm": 18.633831024169922,
687
+ "learning_rate": 2.793661017404023e-05,
688
+ "loss": 0.7401,
689
+ "step": 48500
690
+ },
691
+ {
692
+ "epoch": 1.9725453886719535,
693
+ "grad_norm": 8.491524696350098,
694
+ "learning_rate": 2.7399863129503647e-05,
695
+ "loss": 0.7236,
696
+ "step": 49000
697
+ },
698
+ {
699
+ "epoch": 1.9926734028420756,
700
+ "grad_norm": 3.7893919944763184,
701
+ "learning_rate": 2.686311608496706e-05,
702
+ "loss": 0.7242,
703
+ "step": 49500
704
+ },
705
+ {
706
+ "epoch": 2.0128014170121977,
707
+ "grad_norm": 8.858596801757812,
708
+ "learning_rate": 2.6326369040430476e-05,
709
+ "loss": 0.6995,
710
+ "step": 50000
711
+ },
712
+ {
713
+ "epoch": 2.0329294311823194,
714
+ "grad_norm": 9.343021392822266,
715
+ "learning_rate": 2.5789621995893884e-05,
716
+ "loss": 0.6833,
717
+ "step": 50500
718
+ },
719
+ {
720
+ "epoch": 2.0530574453524415,
721
+ "grad_norm": 11.943695068359375,
722
+ "learning_rate": 2.5252874951357302e-05,
723
+ "loss": 0.6796,
724
+ "step": 51000
725
+ },
726
+ {
727
+ "epoch": 2.0731854595225636,
728
+ "grad_norm": 8.132844924926758,
729
+ "learning_rate": 2.4716127906820716e-05,
730
+ "loss": 0.6655,
731
+ "step": 51500
732
+ },
733
+ {
734
+ "epoch": 2.0933134736926853,
735
+ "grad_norm": 14.167099952697754,
736
+ "learning_rate": 2.417938086228413e-05,
737
+ "loss": 0.6843,
738
+ "step": 52000
739
+ },
740
+ {
741
+ "epoch": 2.1134414878628074,
742
+ "grad_norm": 7.767176628112793,
743
+ "learning_rate": 2.3642633817747545e-05,
744
+ "loss": 0.6785,
745
+ "step": 52500
746
+ },
747
+ {
748
+ "epoch": 2.1335695020329295,
749
+ "grad_norm": 12.753235816955566,
750
+ "learning_rate": 2.3105886773210956e-05,
751
+ "loss": 0.6591,
752
+ "step": 53000
753
+ },
754
+ {
755
+ "epoch": 2.1536975162030516,
756
+ "grad_norm": 15.783185005187988,
757
+ "learning_rate": 2.256913972867437e-05,
758
+ "loss": 0.6455,
759
+ "step": 53500
760
+ },
761
+ {
762
+ "epoch": 2.1738255303731733,
763
+ "grad_norm": 17.965497970581055,
764
+ "learning_rate": 2.2032392684137785e-05,
765
+ "loss": 0.6674,
766
+ "step": 54000
767
+ },
768
+ {
769
+ "epoch": 2.1939535445432954,
770
+ "grad_norm": 18.289630889892578,
771
+ "learning_rate": 2.14956456396012e-05,
772
+ "loss": 0.6584,
773
+ "step": 54500
774
+ },
775
+ {
776
+ "epoch": 2.2140815587134175,
777
+ "grad_norm": 17.599037170410156,
778
+ "learning_rate": 2.0958898595064615e-05,
779
+ "loss": 0.6432,
780
+ "step": 55000
781
+ },
782
+ {
783
+ "epoch": 2.234209572883539,
784
+ "grad_norm": 8.277852058410645,
785
+ "learning_rate": 2.042215155052803e-05,
786
+ "loss": 0.6373,
787
+ "step": 55500
788
+ },
789
+ {
790
+ "epoch": 2.2543375870536613,
791
+ "grad_norm": 11.451165199279785,
792
+ "learning_rate": 1.988540450599144e-05,
793
+ "loss": 0.651,
794
+ "step": 56000
795
+ },
796
+ {
797
+ "epoch": 2.2744656012237834,
798
+ "grad_norm": 7.643725872039795,
799
+ "learning_rate": 1.9348657461454855e-05,
800
+ "loss": 0.6928,
801
+ "step": 56500
802
+ },
803
+ {
804
+ "epoch": 2.294593615393905,
805
+ "grad_norm": 11.526747703552246,
806
+ "learning_rate": 1.881191041691827e-05,
807
+ "loss": 0.6581,
808
+ "step": 57000
809
+ },
810
+ {
811
+ "epoch": 2.314721629564027,
812
+ "grad_norm": 19.298818588256836,
813
+ "learning_rate": 1.827516337238168e-05,
814
+ "loss": 0.625,
815
+ "step": 57500
816
+ },
817
+ {
818
+ "epoch": 2.3348496437341493,
819
+ "grad_norm": 14.259527206420898,
820
+ "learning_rate": 1.7738416327845095e-05,
821
+ "loss": 0.6402,
822
+ "step": 58000
823
+ },
824
+ {
825
+ "epoch": 2.3549776579042714,
826
+ "grad_norm": 11.155771255493164,
827
+ "learning_rate": 1.720166928330851e-05,
828
+ "loss": 0.6362,
829
+ "step": 58500
830
+ },
831
+ {
832
+ "epoch": 2.375105672074393,
833
+ "grad_norm": 18.191736221313477,
834
+ "learning_rate": 1.6664922238771924e-05,
835
+ "loss": 0.6282,
836
+ "step": 59000
837
+ },
838
+ {
839
+ "epoch": 2.395233686244515,
840
+ "grad_norm": 14.766573905944824,
841
+ "learning_rate": 1.612817519423534e-05,
842
+ "loss": 0.6315,
843
+ "step": 59500
844
+ },
845
+ {
846
+ "epoch": 2.4153617004146373,
847
+ "grad_norm": 13.01074504852295,
848
+ "learning_rate": 1.5591428149698753e-05,
849
+ "loss": 0.6321,
850
+ "step": 60000
851
+ },
852
+ {
853
+ "epoch": 2.435489714584759,
854
+ "grad_norm": 8.57907485961914,
855
+ "learning_rate": 1.5054681105162166e-05,
856
+ "loss": 0.6049,
857
+ "step": 60500
858
+ },
859
+ {
860
+ "epoch": 2.455617728754881,
861
+ "grad_norm": 9.666173934936523,
862
+ "learning_rate": 1.451793406062558e-05,
863
+ "loss": 0.6389,
864
+ "step": 61000
865
+ },
866
+ {
867
+ "epoch": 2.475745742925003,
868
+ "grad_norm": 11.621274948120117,
869
+ "learning_rate": 1.3981187016088993e-05,
870
+ "loss": 0.6134,
871
+ "step": 61500
872
+ },
873
+ {
874
+ "epoch": 2.495873757095125,
875
+ "grad_norm": 6.330214500427246,
876
+ "learning_rate": 1.3444439971552408e-05,
877
+ "loss": 0.6183,
878
+ "step": 62000
879
+ },
880
+ {
881
+ "epoch": 2.516001771265247,
882
+ "grad_norm": 5.045897006988525,
883
+ "learning_rate": 1.2907692927015822e-05,
884
+ "loss": 0.6184,
885
+ "step": 62500
886
+ },
887
+ {
888
+ "epoch": 2.536129785435369,
889
+ "grad_norm": 5.904106140136719,
890
+ "learning_rate": 1.2370945882479235e-05,
891
+ "loss": 0.6352,
892
+ "step": 63000
893
+ },
894
+ {
895
+ "epoch": 2.5562577996054907,
896
+ "grad_norm": 8.777071952819824,
897
+ "learning_rate": 1.183419883794265e-05,
898
+ "loss": 0.6343,
899
+ "step": 63500
900
+ },
901
+ {
902
+ "epoch": 2.576385813775613,
903
+ "grad_norm": 14.809232711791992,
904
+ "learning_rate": 1.1297451793406064e-05,
905
+ "loss": 0.635,
906
+ "step": 64000
907
+ },
908
+ {
909
+ "epoch": 2.596513827945735,
910
+ "grad_norm": 9.59287166595459,
911
+ "learning_rate": 1.0760704748869477e-05,
912
+ "loss": 0.6307,
913
+ "step": 64500
914
+ },
915
+ {
916
+ "epoch": 2.6166418421158566,
917
+ "grad_norm": 4.077784538269043,
918
+ "learning_rate": 1.0223957704332891e-05,
919
+ "loss": 0.614,
920
+ "step": 65000
921
+ },
922
+ {
923
+ "epoch": 2.6367698562859787,
924
+ "grad_norm": 17.284059524536133,
925
+ "learning_rate": 9.687210659796306e-06,
926
+ "loss": 0.6556,
927
+ "step": 65500
928
+ },
929
+ {
930
+ "epoch": 2.656897870456101,
931
+ "grad_norm": 13.630504608154297,
932
+ "learning_rate": 9.150463615259719e-06,
933
+ "loss": 0.5926,
934
+ "step": 66000
935
+ },
936
+ {
937
+ "epoch": 2.677025884626223,
938
+ "grad_norm": 12.159080505371094,
939
+ "learning_rate": 8.613716570723133e-06,
940
+ "loss": 0.6097,
941
+ "step": 66500
942
+ },
943
+ {
944
+ "epoch": 2.6971538987963446,
945
+ "grad_norm": 11.280355453491211,
946
+ "learning_rate": 8.076969526186546e-06,
947
+ "loss": 0.614,
948
+ "step": 67000
949
+ },
950
+ {
951
+ "epoch": 2.7172819129664667,
952
+ "grad_norm": 16.78717613220215,
953
+ "learning_rate": 7.540222481649961e-06,
954
+ "loss": 0.6232,
955
+ "step": 67500
956
+ },
957
+ {
958
+ "epoch": 2.737409927136589,
959
+ "grad_norm": 10.830788612365723,
960
+ "learning_rate": 7.003475437113375e-06,
961
+ "loss": 0.5923,
962
+ "step": 68000
963
+ },
964
+ {
965
+ "epoch": 2.757537941306711,
966
+ "grad_norm": 6.981812000274658,
967
+ "learning_rate": 6.466728392576789e-06,
968
+ "loss": 0.5949,
969
+ "step": 68500
970
+ },
971
+ {
972
+ "epoch": 2.7776659554768326,
973
+ "grad_norm": 9.136080741882324,
974
+ "learning_rate": 5.929981348040202e-06,
975
+ "loss": 0.6128,
976
+ "step": 69000
977
+ },
978
+ {
979
+ "epoch": 2.7977939696469547,
980
+ "grad_norm": 10.217459678649902,
981
+ "learning_rate": 5.393234303503617e-06,
982
+ "loss": 0.5998,
983
+ "step": 69500
984
+ },
985
+ {
986
+ "epoch": 2.817921983817077,
987
+ "grad_norm": 10.00894832611084,
988
+ "learning_rate": 4.8564872589670306e-06,
989
+ "loss": 0.5922,
990
+ "step": 70000
991
+ },
992
+ {
993
+ "epoch": 2.8380499979871985,
994
+ "grad_norm": 12.962599754333496,
995
+ "learning_rate": 4.319740214430444e-06,
996
+ "loss": 0.5883,
997
+ "step": 70500
998
+ },
999
+ {
1000
+ "epoch": 2.8581780121573206,
1001
+ "grad_norm": 13.627707481384277,
1002
+ "learning_rate": 3.7829931698938588e-06,
1003
+ "loss": 0.5994,
1004
+ "step": 71000
1005
+ },
1006
+ {
1007
+ "epoch": 2.8783060263274427,
1008
+ "grad_norm": 11.855643272399902,
1009
+ "learning_rate": 3.2462461253572724e-06,
1010
+ "loss": 0.6179,
1011
+ "step": 71500
1012
+ },
1013
+ {
1014
+ "epoch": 2.8984340404975644,
1015
+ "grad_norm": 9.207647323608398,
1016
+ "learning_rate": 2.7094990808206865e-06,
1017
+ "loss": 0.6169,
1018
+ "step": 72000
1019
+ },
1020
+ {
1021
+ "epoch": 2.9185620546676865,
1022
+ "grad_norm": 13.871038436889648,
1023
+ "learning_rate": 2.1727520362841e-06,
1024
+ "loss": 0.6037,
1025
+ "step": 72500
1026
+ },
1027
+ {
1028
+ "epoch": 2.9386900688378086,
1029
+ "grad_norm": 10.001399040222168,
1030
+ "learning_rate": 1.6360049917475143e-06,
1031
+ "loss": 0.619,
1032
+ "step": 73000
1033
+ },
1034
+ {
1035
+ "epoch": 2.9588180830079303,
1036
+ "grad_norm": 15.267190933227539,
1037
+ "learning_rate": 1.0992579472109282e-06,
1038
+ "loss": 0.6055,
1039
+ "step": 73500
1040
+ },
1041
+ {
1042
+ "epoch": 2.9789460971780524,
1043
+ "grad_norm": 3.722136974334717,
1044
+ "learning_rate": 5.625109026743423e-07,
1045
+ "loss": 0.591,
1046
+ "step": 74000
1047
+ },
1048
+ {
1049
+ "epoch": 2.9990741113481745,
1050
+ "grad_norm": 9.667593955993652,
1051
+ "learning_rate": 2.576385813775613e-08,
1052
+ "loss": 0.6077,
1053
+ "step": 74500
1054
+ },
1055
+ {
1056
+ "epoch": 3.0,
1057
+ "step": 74523,
1058
+ "total_flos": 1.6739482297393152e+16,
1059
+ "train_loss": 1.0437313645233104,
1060
+ "train_runtime": 12605.9624,
1061
+ "train_samples_per_second": 94.587,
1062
+ "train_steps_per_second": 5.912
1063
  }
1064
  ],
1065
  "logging_steps": 500,
1066
+ "max_steps": 74523,
1067
  "num_input_tokens_seen": 0,
1068
+ "num_train_epochs": 3,
1069
  "save_steps": 500,
1070
  "stateful_callbacks": {
1071
  "TrainerControl": {
 
1079
  "attributes": {}
1080
  }
1081
  },
1082
+ "total_flos": 1.6739482297393152e+16,
1083
  "train_batch_size": 16,
1084
  "trial_name": null,
1085
  "trial_params": null