Dnq2025 commited on
Commit
1008198
·
verified ·
1 Parent(s): b7f5e57

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
3
  license: other
4
  base_model: facebook/mask2former-swin-base-IN21k-ade-semantic
5
  tags:
 
 
6
  - generated_from_trainer
7
  model-index:
8
  - name: mask2former-finetuned-ER-Mito-LD3
@@ -14,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # mask2former-finetuned-ER-Mito-LD3
16
 
17
- This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](https://huggingface.co/facebook/mask2former-swin-base-IN21k-ade-semantic) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 33.4906
20
  - Dummy: 1.0
21
 
22
  ## Model description
 
3
  license: other
4
  base_model: facebook/mask2former-swin-base-IN21k-ade-semantic
5
  tags:
6
+ - image-segmentation
7
+ - vision
8
  - generated_from_trainer
9
  model-index:
10
  - name: mask2former-finetuned-ER-Mito-LD3
 
16
 
17
  # mask2former-finetuned-ER-Mito-LD3
18
 
19
+ This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](https://huggingface.co/facebook/mask2former-swin-base-IN21k-ade-semantic) on the Dnq2025/Mask2former_Pretrain dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 33.5405
22
  - Dummy: 1.0
23
 
24
  ## Model description
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 124.03846153846153,
3
+ "eval_dummy": 1.0,
4
+ "eval_loss": 33.54045104980469,
5
+ "eval_runtime": 18.5302,
6
+ "eval_samples_per_second": 2.59,
7
+ "eval_steps_per_second": 0.54,
8
+ "total_flos": 1.8148731642810335e+19,
9
+ "train_loss": 14.019830729166667,
10
+ "train_runtime": 31415.0856,
11
+ "train_samples_per_second": 2.053,
12
+ "train_steps_per_second": 0.411
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 124.03846153846153,
3
+ "eval_dummy": 1.0,
4
+ "eval_loss": 33.54045104980469,
5
+ "eval_runtime": 18.5302,
6
+ "eval_samples_per_second": 2.59,
7
+ "eval_steps_per_second": 0.54
8
+ }
runs/Mar26_09-40-29_cdr2595.int.cedar.computecanada.ca/events.out.tfevents.1743038762.cdr2595.int.cedar.computecanada.ca.1212142.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2154c5132a221c72df5d2b1a44d774d65971905a8e73782f9d56a00c16646506
3
+ size 408
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 124.03846153846153,
3
+ "total_flos": 1.8148731642810335e+19,
4
+ "train_loss": 14.019830729166667,
5
+ "train_runtime": 31415.0856,
6
+ "train_samples_per_second": 2.053,
7
+ "train_steps_per_second": 0.411
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2071 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 124.03846153846153,
6
+ "eval_steps": 500,
7
+ "global_step": 12900,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.9615384615384616,
14
+ "grad_norm": 165.56590270996094,
15
+ "learning_rate": 9.922558139534884e-05,
16
+ "loss": 48.5372,
17
+ "step": 100
18
+ },
19
+ {
20
+ "epoch": 1.0,
21
+ "eval_dummy": 1.0,
22
+ "eval_loss": 36.333778381347656,
23
+ "eval_runtime": 21.9927,
24
+ "eval_samples_per_second": 2.183,
25
+ "eval_steps_per_second": 0.455,
26
+ "step": 104
27
+ },
28
+ {
29
+ "epoch": 1.9230769230769231,
30
+ "grad_norm": 143.93603515625,
31
+ "learning_rate": 9.845116279069768e-05,
32
+ "loss": 33.5327,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 2.0,
37
+ "eval_dummy": 1.0,
38
+ "eval_loss": 31.735132217407227,
39
+ "eval_runtime": 16.9414,
40
+ "eval_samples_per_second": 2.833,
41
+ "eval_steps_per_second": 0.59,
42
+ "step": 208
43
+ },
44
+ {
45
+ "epoch": 2.8846153846153846,
46
+ "grad_norm": 135.81661987304688,
47
+ "learning_rate": 9.767674418604652e-05,
48
+ "loss": 29.7691,
49
+ "step": 300
50
+ },
51
+ {
52
+ "epoch": 3.0,
53
+ "eval_dummy": 1.0,
54
+ "eval_loss": 30.485803604125977,
55
+ "eval_runtime": 16.7561,
56
+ "eval_samples_per_second": 2.865,
57
+ "eval_steps_per_second": 0.597,
58
+ "step": 312
59
+ },
60
+ {
61
+ "epoch": 3.8461538461538463,
62
+ "grad_norm": 110.2176284790039,
63
+ "learning_rate": 9.690232558139534e-05,
64
+ "loss": 26.3002,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_dummy": 1.0,
70
+ "eval_loss": 28.60906219482422,
71
+ "eval_runtime": 16.9439,
72
+ "eval_samples_per_second": 2.833,
73
+ "eval_steps_per_second": 0.59,
74
+ "step": 416
75
+ },
76
+ {
77
+ "epoch": 4.8076923076923075,
78
+ "grad_norm": 112.39118194580078,
79
+ "learning_rate": 9.612790697674419e-05,
80
+ "loss": 24.7501,
81
+ "step": 500
82
+ },
83
+ {
84
+ "epoch": 5.0,
85
+ "eval_dummy": 1.0,
86
+ "eval_loss": 27.096742630004883,
87
+ "eval_runtime": 16.7521,
88
+ "eval_samples_per_second": 2.865,
89
+ "eval_steps_per_second": 0.597,
90
+ "step": 520
91
+ },
92
+ {
93
+ "epoch": 5.769230769230769,
94
+ "grad_norm": 86.3100357055664,
95
+ "learning_rate": 9.535348837209303e-05,
96
+ "loss": 23.4495,
97
+ "step": 600
98
+ },
99
+ {
100
+ "epoch": 6.0,
101
+ "eval_dummy": 1.0,
102
+ "eval_loss": 26.624135971069336,
103
+ "eval_runtime": 16.6013,
104
+ "eval_samples_per_second": 2.891,
105
+ "eval_steps_per_second": 0.602,
106
+ "step": 624
107
+ },
108
+ {
109
+ "epoch": 6.730769230769231,
110
+ "grad_norm": 58.464332580566406,
111
+ "learning_rate": 9.457906976744187e-05,
112
+ "loss": 23.274,
113
+ "step": 700
114
+ },
115
+ {
116
+ "epoch": 7.0,
117
+ "eval_dummy": 1.0,
118
+ "eval_loss": 27.154443740844727,
119
+ "eval_runtime": 17.6955,
120
+ "eval_samples_per_second": 2.713,
121
+ "eval_steps_per_second": 0.565,
122
+ "step": 728
123
+ },
124
+ {
125
+ "epoch": 7.6923076923076925,
126
+ "grad_norm": 42.398406982421875,
127
+ "learning_rate": 9.38046511627907e-05,
128
+ "loss": 21.1617,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 8.0,
133
+ "eval_dummy": 1.0,
134
+ "eval_loss": 27.462488174438477,
135
+ "eval_runtime": 16.2589,
136
+ "eval_samples_per_second": 2.952,
137
+ "eval_steps_per_second": 0.615,
138
+ "step": 832
139
+ },
140
+ {
141
+ "epoch": 8.653846153846153,
142
+ "grad_norm": 69.99388122558594,
143
+ "learning_rate": 9.303023255813954e-05,
144
+ "loss": 20.373,
145
+ "step": 900
146
+ },
147
+ {
148
+ "epoch": 9.0,
149
+ "eval_dummy": 1.0,
150
+ "eval_loss": 27.574462890625,
151
+ "eval_runtime": 17.0559,
152
+ "eval_samples_per_second": 2.814,
153
+ "eval_steps_per_second": 0.586,
154
+ "step": 936
155
+ },
156
+ {
157
+ "epoch": 9.615384615384615,
158
+ "grad_norm": 51.642242431640625,
159
+ "learning_rate": 9.225581395348837e-05,
160
+ "loss": 20.4295,
161
+ "step": 1000
162
+ },
163
+ {
164
+ "epoch": 10.0,
165
+ "eval_dummy": 1.0,
166
+ "eval_loss": 27.69423484802246,
167
+ "eval_runtime": 16.3331,
168
+ "eval_samples_per_second": 2.939,
169
+ "eval_steps_per_second": 0.612,
170
+ "step": 1040
171
+ },
172
+ {
173
+ "epoch": 10.576923076923077,
174
+ "grad_norm": 39.88796615600586,
175
+ "learning_rate": 9.14813953488372e-05,
176
+ "loss": 20.2526,
177
+ "step": 1100
178
+ },
179
+ {
180
+ "epoch": 11.0,
181
+ "eval_dummy": 1.0,
182
+ "eval_loss": 27.782920837402344,
183
+ "eval_runtime": 16.9662,
184
+ "eval_samples_per_second": 2.829,
185
+ "eval_steps_per_second": 0.589,
186
+ "step": 1144
187
+ },
188
+ {
189
+ "epoch": 11.538461538461538,
190
+ "grad_norm": 50.71794509887695,
191
+ "learning_rate": 9.070697674418606e-05,
192
+ "loss": 19.2572,
193
+ "step": 1200
194
+ },
195
+ {
196
+ "epoch": 12.0,
197
+ "eval_dummy": 1.0,
198
+ "eval_loss": 27.295957565307617,
199
+ "eval_runtime": 16.7472,
200
+ "eval_samples_per_second": 2.866,
201
+ "eval_steps_per_second": 0.597,
202
+ "step": 1248
203
+ },
204
+ {
205
+ "epoch": 12.5,
206
+ "grad_norm": 45.02073669433594,
207
+ "learning_rate": 8.99325581395349e-05,
208
+ "loss": 19.0089,
209
+ "step": 1300
210
+ },
211
+ {
212
+ "epoch": 13.0,
213
+ "eval_dummy": 1.0,
214
+ "eval_loss": 26.0039005279541,
215
+ "eval_runtime": 16.8217,
216
+ "eval_samples_per_second": 2.853,
217
+ "eval_steps_per_second": 0.594,
218
+ "step": 1352
219
+ },
220
+ {
221
+ "epoch": 13.461538461538462,
222
+ "grad_norm": 33.62112808227539,
223
+ "learning_rate": 8.915813953488373e-05,
224
+ "loss": 18.3621,
225
+ "step": 1400
226
+ },
227
+ {
228
+ "epoch": 14.0,
229
+ "eval_dummy": 1.0,
230
+ "eval_loss": 26.562255859375,
231
+ "eval_runtime": 16.6581,
232
+ "eval_samples_per_second": 2.881,
233
+ "eval_steps_per_second": 0.6,
234
+ "step": 1456
235
+ },
236
+ {
237
+ "epoch": 14.423076923076923,
238
+ "grad_norm": 44.2991943359375,
239
+ "learning_rate": 8.838372093023257e-05,
240
+ "loss": 18.0517,
241
+ "step": 1500
242
+ },
243
+ {
244
+ "epoch": 15.0,
245
+ "eval_dummy": 1.0,
246
+ "eval_loss": 26.27000617980957,
247
+ "eval_runtime": 17.496,
248
+ "eval_samples_per_second": 2.743,
249
+ "eval_steps_per_second": 0.572,
250
+ "step": 1560
251
+ },
252
+ {
253
+ "epoch": 15.384615384615385,
254
+ "grad_norm": 44.68825912475586,
255
+ "learning_rate": 8.76093023255814e-05,
256
+ "loss": 18.3139,
257
+ "step": 1600
258
+ },
259
+ {
260
+ "epoch": 16.0,
261
+ "eval_dummy": 1.0,
262
+ "eval_loss": 27.297170639038086,
263
+ "eval_runtime": 16.2819,
264
+ "eval_samples_per_second": 2.948,
265
+ "eval_steps_per_second": 0.614,
266
+ "step": 1664
267
+ },
268
+ {
269
+ "epoch": 16.346153846153847,
270
+ "grad_norm": 50.15152359008789,
271
+ "learning_rate": 8.683488372093023e-05,
272
+ "loss": 17.6129,
273
+ "step": 1700
274
+ },
275
+ {
276
+ "epoch": 17.0,
277
+ "eval_dummy": 1.0,
278
+ "eval_loss": 26.486886978149414,
279
+ "eval_runtime": 17.6532,
280
+ "eval_samples_per_second": 2.719,
281
+ "eval_steps_per_second": 0.566,
282
+ "step": 1768
283
+ },
284
+ {
285
+ "epoch": 17.307692307692307,
286
+ "grad_norm": 31.138574600219727,
287
+ "learning_rate": 8.606046511627907e-05,
288
+ "loss": 17.8402,
289
+ "step": 1800
290
+ },
291
+ {
292
+ "epoch": 18.0,
293
+ "eval_dummy": 1.0,
294
+ "eval_loss": 27.761808395385742,
295
+ "eval_runtime": 16.6098,
296
+ "eval_samples_per_second": 2.89,
297
+ "eval_steps_per_second": 0.602,
298
+ "step": 1872
299
+ },
300
+ {
301
+ "epoch": 18.26923076923077,
302
+ "grad_norm": 45.22633361816406,
303
+ "learning_rate": 8.52860465116279e-05,
304
+ "loss": 16.6494,
305
+ "step": 1900
306
+ },
307
+ {
308
+ "epoch": 19.0,
309
+ "eval_dummy": 1.0,
310
+ "eval_loss": 27.517309188842773,
311
+ "eval_runtime": 16.9988,
312
+ "eval_samples_per_second": 2.824,
313
+ "eval_steps_per_second": 0.588,
314
+ "step": 1976
315
+ },
316
+ {
317
+ "epoch": 19.23076923076923,
318
+ "grad_norm": 25.58769989013672,
319
+ "learning_rate": 8.451162790697674e-05,
320
+ "loss": 17.0833,
321
+ "step": 2000
322
+ },
323
+ {
324
+ "epoch": 20.0,
325
+ "eval_dummy": 1.0,
326
+ "eval_loss": 28.124242782592773,
327
+ "eval_runtime": 16.6787,
328
+ "eval_samples_per_second": 2.878,
329
+ "eval_steps_per_second": 0.6,
330
+ "step": 2080
331
+ },
332
+ {
333
+ "epoch": 20.192307692307693,
334
+ "grad_norm": 30.538772583007812,
335
+ "learning_rate": 8.373720930232558e-05,
336
+ "loss": 16.5967,
337
+ "step": 2100
338
+ },
339
+ {
340
+ "epoch": 21.0,
341
+ "eval_dummy": 1.0,
342
+ "eval_loss": 29.119504928588867,
343
+ "eval_runtime": 16.9877,
344
+ "eval_samples_per_second": 2.826,
345
+ "eval_steps_per_second": 0.589,
346
+ "step": 2184
347
+ },
348
+ {
349
+ "epoch": 21.153846153846153,
350
+ "grad_norm": 34.11674499511719,
351
+ "learning_rate": 8.296279069767443e-05,
352
+ "loss": 16.2634,
353
+ "step": 2200
354
+ },
355
+ {
356
+ "epoch": 22.0,
357
+ "eval_dummy": 1.0,
358
+ "eval_loss": 27.036653518676758,
359
+ "eval_runtime": 16.3157,
360
+ "eval_samples_per_second": 2.942,
361
+ "eval_steps_per_second": 0.613,
362
+ "step": 2288
363
+ },
364
+ {
365
+ "epoch": 22.115384615384617,
366
+ "grad_norm": 23.20075798034668,
367
+ "learning_rate": 8.218837209302326e-05,
368
+ "loss": 16.6797,
369
+ "step": 2300
370
+ },
371
+ {
372
+ "epoch": 23.0,
373
+ "eval_dummy": 1.0,
374
+ "eval_loss": 27.179914474487305,
375
+ "eval_runtime": 17.6647,
376
+ "eval_samples_per_second": 2.717,
377
+ "eval_steps_per_second": 0.566,
378
+ "step": 2392
379
+ },
380
+ {
381
+ "epoch": 23.076923076923077,
382
+ "grad_norm": 38.62594223022461,
383
+ "learning_rate": 8.14139534883721e-05,
384
+ "loss": 16.0344,
385
+ "step": 2400
386
+ },
387
+ {
388
+ "epoch": 24.0,
389
+ "eval_dummy": 1.0,
390
+ "eval_loss": 26.640764236450195,
391
+ "eval_runtime": 17.4121,
392
+ "eval_samples_per_second": 2.757,
393
+ "eval_steps_per_second": 0.574,
394
+ "step": 2496
395
+ },
396
+ {
397
+ "epoch": 24.03846153846154,
398
+ "grad_norm": 25.629343032836914,
399
+ "learning_rate": 8.063953488372093e-05,
400
+ "loss": 15.8706,
401
+ "step": 2500
402
+ },
403
+ {
404
+ "epoch": 25.0,
405
+ "grad_norm": 108.9260482788086,
406
+ "learning_rate": 7.986511627906977e-05,
407
+ "loss": 15.7701,
408
+ "step": 2600
409
+ },
410
+ {
411
+ "epoch": 25.0,
412
+ "eval_dummy": 1.0,
413
+ "eval_loss": 28.403966903686523,
414
+ "eval_runtime": 16.6389,
415
+ "eval_samples_per_second": 2.885,
416
+ "eval_steps_per_second": 0.601,
417
+ "step": 2600
418
+ },
419
+ {
420
+ "epoch": 25.96153846153846,
421
+ "grad_norm": 39.876651763916016,
422
+ "learning_rate": 7.90906976744186e-05,
423
+ "loss": 15.6061,
424
+ "step": 2700
425
+ },
426
+ {
427
+ "epoch": 26.0,
428
+ "eval_dummy": 1.0,
429
+ "eval_loss": 28.06866455078125,
430
+ "eval_runtime": 17.057,
431
+ "eval_samples_per_second": 2.814,
432
+ "eval_steps_per_second": 0.586,
433
+ "step": 2704
434
+ },
435
+ {
436
+ "epoch": 26.923076923076923,
437
+ "grad_norm": 24.31376838684082,
438
+ "learning_rate": 7.831627906976746e-05,
439
+ "loss": 15.3311,
440
+ "step": 2800
441
+ },
442
+ {
443
+ "epoch": 27.0,
444
+ "eval_dummy": 1.0,
445
+ "eval_loss": 27.17653465270996,
446
+ "eval_runtime": 16.4838,
447
+ "eval_samples_per_second": 2.912,
448
+ "eval_steps_per_second": 0.607,
449
+ "step": 2808
450
+ },
451
+ {
452
+ "epoch": 27.884615384615383,
453
+ "grad_norm": 21.51975440979004,
454
+ "learning_rate": 7.754186046511628e-05,
455
+ "loss": 15.2464,
456
+ "step": 2900
457
+ },
458
+ {
459
+ "epoch": 28.0,
460
+ "eval_dummy": 1.0,
461
+ "eval_loss": 28.20502471923828,
462
+ "eval_runtime": 17.0908,
463
+ "eval_samples_per_second": 2.809,
464
+ "eval_steps_per_second": 0.585,
465
+ "step": 2912
466
+ },
467
+ {
468
+ "epoch": 28.846153846153847,
469
+ "grad_norm": 25.89150047302246,
470
+ "learning_rate": 7.676744186046512e-05,
471
+ "loss": 15.0459,
472
+ "step": 3000
473
+ },
474
+ {
475
+ "epoch": 29.0,
476
+ "eval_dummy": 1.0,
477
+ "eval_loss": 28.629125595092773,
478
+ "eval_runtime": 17.0746,
479
+ "eval_samples_per_second": 2.811,
480
+ "eval_steps_per_second": 0.586,
481
+ "step": 3016
482
+ },
483
+ {
484
+ "epoch": 29.807692307692307,
485
+ "grad_norm": 24.885116577148438,
486
+ "learning_rate": 7.599302325581396e-05,
487
+ "loss": 14.7514,
488
+ "step": 3100
489
+ },
490
+ {
491
+ "epoch": 30.0,
492
+ "eval_dummy": 1.0,
493
+ "eval_loss": 27.824087142944336,
494
+ "eval_runtime": 16.6658,
495
+ "eval_samples_per_second": 2.88,
496
+ "eval_steps_per_second": 0.6,
497
+ "step": 3120
498
+ },
499
+ {
500
+ "epoch": 30.76923076923077,
501
+ "grad_norm": 23.02336883544922,
502
+ "learning_rate": 7.52186046511628e-05,
503
+ "loss": 15.0833,
504
+ "step": 3200
505
+ },
506
+ {
507
+ "epoch": 31.0,
508
+ "eval_dummy": 1.0,
509
+ "eval_loss": 29.19361686706543,
510
+ "eval_runtime": 19.4392,
511
+ "eval_samples_per_second": 2.469,
512
+ "eval_steps_per_second": 0.514,
513
+ "step": 3224
514
+ },
515
+ {
516
+ "epoch": 31.73076923076923,
517
+ "grad_norm": 24.152498245239258,
518
+ "learning_rate": 7.444418604651163e-05,
519
+ "loss": 15.0817,
520
+ "step": 3300
521
+ },
522
+ {
523
+ "epoch": 32.0,
524
+ "eval_dummy": 1.0,
525
+ "eval_loss": 28.40435218811035,
526
+ "eval_runtime": 16.6685,
527
+ "eval_samples_per_second": 2.88,
528
+ "eval_steps_per_second": 0.6,
529
+ "step": 3328
530
+ },
531
+ {
532
+ "epoch": 32.69230769230769,
533
+ "grad_norm": 20.687313079833984,
534
+ "learning_rate": 7.366976744186047e-05,
535
+ "loss": 14.3201,
536
+ "step": 3400
537
+ },
538
+ {
539
+ "epoch": 33.0,
540
+ "eval_dummy": 1.0,
541
+ "eval_loss": 28.370887756347656,
542
+ "eval_runtime": 16.9055,
543
+ "eval_samples_per_second": 2.839,
544
+ "eval_steps_per_second": 0.592,
545
+ "step": 3432
546
+ },
547
+ {
548
+ "epoch": 33.65384615384615,
549
+ "grad_norm": 18.918672561645508,
550
+ "learning_rate": 7.289534883720931e-05,
551
+ "loss": 14.5918,
552
+ "step": 3500
553
+ },
554
+ {
555
+ "epoch": 34.0,
556
+ "eval_dummy": 1.0,
557
+ "eval_loss": 29.38982582092285,
558
+ "eval_runtime": 17.1503,
559
+ "eval_samples_per_second": 2.799,
560
+ "eval_steps_per_second": 0.583,
561
+ "step": 3536
562
+ },
563
+ {
564
+ "epoch": 34.61538461538461,
565
+ "grad_norm": 34.329986572265625,
566
+ "learning_rate": 7.212093023255815e-05,
567
+ "loss": 14.7177,
568
+ "step": 3600
569
+ },
570
+ {
571
+ "epoch": 35.0,
572
+ "eval_dummy": 1.0,
573
+ "eval_loss": 28.512975692749023,
574
+ "eval_runtime": 17.026,
575
+ "eval_samples_per_second": 2.819,
576
+ "eval_steps_per_second": 0.587,
577
+ "step": 3640
578
+ },
579
+ {
580
+ "epoch": 35.57692307692308,
581
+ "grad_norm": 14.776827812194824,
582
+ "learning_rate": 7.134651162790697e-05,
583
+ "loss": 13.9919,
584
+ "step": 3700
585
+ },
586
+ {
587
+ "epoch": 36.0,
588
+ "eval_dummy": 1.0,
589
+ "eval_loss": 27.759668350219727,
590
+ "eval_runtime": 16.7517,
591
+ "eval_samples_per_second": 2.865,
592
+ "eval_steps_per_second": 0.597,
593
+ "step": 3744
594
+ },
595
+ {
596
+ "epoch": 36.53846153846154,
597
+ "grad_norm": 33.82184982299805,
598
+ "learning_rate": 7.057209302325581e-05,
599
+ "loss": 14.2267,
600
+ "step": 3800
601
+ },
602
+ {
603
+ "epoch": 37.0,
604
+ "eval_dummy": 1.0,
605
+ "eval_loss": 29.232383728027344,
606
+ "eval_runtime": 16.949,
607
+ "eval_samples_per_second": 2.832,
608
+ "eval_steps_per_second": 0.59,
609
+ "step": 3848
610
+ },
611
+ {
612
+ "epoch": 37.5,
613
+ "grad_norm": 71.82172393798828,
614
+ "learning_rate": 6.979767441860466e-05,
615
+ "loss": 13.7801,
616
+ "step": 3900
617
+ },
618
+ {
619
+ "epoch": 38.0,
620
+ "eval_dummy": 1.0,
621
+ "eval_loss": 28.357421875,
622
+ "eval_runtime": 16.6259,
623
+ "eval_samples_per_second": 2.887,
624
+ "eval_steps_per_second": 0.601,
625
+ "step": 3952
626
+ },
627
+ {
628
+ "epoch": 38.46153846153846,
629
+ "grad_norm": 24.108745574951172,
630
+ "learning_rate": 6.90232558139535e-05,
631
+ "loss": 14.1839,
632
+ "step": 4000
633
+ },
634
+ {
635
+ "epoch": 39.0,
636
+ "eval_dummy": 1.0,
637
+ "eval_loss": 28.8710994720459,
638
+ "eval_runtime": 16.7167,
639
+ "eval_samples_per_second": 2.871,
640
+ "eval_steps_per_second": 0.598,
641
+ "step": 4056
642
+ },
643
+ {
644
+ "epoch": 39.42307692307692,
645
+ "grad_norm": 24.0490665435791,
646
+ "learning_rate": 6.824883720930233e-05,
647
+ "loss": 13.7545,
648
+ "step": 4100
649
+ },
650
+ {
651
+ "epoch": 40.0,
652
+ "eval_dummy": 1.0,
653
+ "eval_loss": 28.294702529907227,
654
+ "eval_runtime": 16.5809,
655
+ "eval_samples_per_second": 2.895,
656
+ "eval_steps_per_second": 0.603,
657
+ "step": 4160
658
+ },
659
+ {
660
+ "epoch": 40.38461538461539,
661
+ "grad_norm": 17.7755184173584,
662
+ "learning_rate": 6.747441860465117e-05,
663
+ "loss": 14.1627,
664
+ "step": 4200
665
+ },
666
+ {
667
+ "epoch": 41.0,
668
+ "eval_dummy": 1.0,
669
+ "eval_loss": 29.48655128479004,
670
+ "eval_runtime": 16.9288,
671
+ "eval_samples_per_second": 2.835,
672
+ "eval_steps_per_second": 0.591,
673
+ "step": 4264
674
+ },
675
+ {
676
+ "epoch": 41.34615384615385,
677
+ "grad_norm": 25.07582664489746,
678
+ "learning_rate": 6.670000000000001e-05,
679
+ "loss": 13.5155,
680
+ "step": 4300
681
+ },
682
+ {
683
+ "epoch": 42.0,
684
+ "eval_dummy": 1.0,
685
+ "eval_loss": 29.852659225463867,
686
+ "eval_runtime": 16.5485,
687
+ "eval_samples_per_second": 2.901,
688
+ "eval_steps_per_second": 0.604,
689
+ "step": 4368
690
+ },
691
+ {
692
+ "epoch": 42.30769230769231,
693
+ "grad_norm": 35.709686279296875,
694
+ "learning_rate": 6.592558139534885e-05,
695
+ "loss": 13.704,
696
+ "step": 4400
697
+ },
698
+ {
699
+ "epoch": 43.0,
700
+ "eval_dummy": 1.0,
701
+ "eval_loss": 29.4291934967041,
702
+ "eval_runtime": 16.8607,
703
+ "eval_samples_per_second": 2.847,
704
+ "eval_steps_per_second": 0.593,
705
+ "step": 4472
706
+ },
707
+ {
708
+ "epoch": 43.26923076923077,
709
+ "grad_norm": 21.939144134521484,
710
+ "learning_rate": 6.515116279069768e-05,
711
+ "loss": 13.6644,
712
+ "step": 4500
713
+ },
714
+ {
715
+ "epoch": 44.0,
716
+ "eval_dummy": 1.0,
717
+ "eval_loss": 29.23241424560547,
718
+ "eval_runtime": 16.6868,
719
+ "eval_samples_per_second": 2.877,
720
+ "eval_steps_per_second": 0.599,
721
+ "step": 4576
722
+ },
723
+ {
724
+ "epoch": 44.23076923076923,
725
+ "grad_norm": 22.5328426361084,
726
+ "learning_rate": 6.437674418604652e-05,
727
+ "loss": 13.2006,
728
+ "step": 4600
729
+ },
730
+ {
731
+ "epoch": 45.0,
732
+ "eval_dummy": 1.0,
733
+ "eval_loss": 29.541372299194336,
734
+ "eval_runtime": 16.3804,
735
+ "eval_samples_per_second": 2.93,
736
+ "eval_steps_per_second": 0.61,
737
+ "step": 4680
738
+ },
739
+ {
740
+ "epoch": 45.19230769230769,
741
+ "grad_norm": 19.775171279907227,
742
+ "learning_rate": 6.360232558139536e-05,
743
+ "loss": 13.1545,
744
+ "step": 4700
745
+ },
746
+ {
747
+ "epoch": 46.0,
748
+ "eval_dummy": 1.0,
749
+ "eval_loss": 29.698814392089844,
750
+ "eval_runtime": 17.0544,
751
+ "eval_samples_per_second": 2.815,
752
+ "eval_steps_per_second": 0.586,
753
+ "step": 4784
754
+ },
755
+ {
756
+ "epoch": 46.15384615384615,
757
+ "grad_norm": 23.579957962036133,
758
+ "learning_rate": 6.28279069767442e-05,
759
+ "loss": 13.5744,
760
+ "step": 4800
761
+ },
762
+ {
763
+ "epoch": 47.0,
764
+ "eval_dummy": 1.0,
765
+ "eval_loss": 28.993318557739258,
766
+ "eval_runtime": 16.712,
767
+ "eval_samples_per_second": 2.872,
768
+ "eval_steps_per_second": 0.598,
769
+ "step": 4888
770
+ },
771
+ {
772
+ "epoch": 47.11538461538461,
773
+ "grad_norm": 16.147850036621094,
774
+ "learning_rate": 6.205348837209302e-05,
775
+ "loss": 12.8073,
776
+ "step": 4900
777
+ },
778
+ {
779
+ "epoch": 48.0,
780
+ "eval_dummy": 1.0,
781
+ "eval_loss": 28.976961135864258,
782
+ "eval_runtime": 17.0515,
783
+ "eval_samples_per_second": 2.815,
784
+ "eval_steps_per_second": 0.586,
785
+ "step": 4992
786
+ },
787
+ {
788
+ "epoch": 48.07692307692308,
789
+ "grad_norm": 39.781028747558594,
790
+ "learning_rate": 6.127906976744186e-05,
791
+ "loss": 13.3773,
792
+ "step": 5000
793
+ },
794
+ {
795
+ "epoch": 49.0,
796
+ "eval_dummy": 1.0,
797
+ "eval_loss": 30.39496421813965,
798
+ "eval_runtime": 16.6402,
799
+ "eval_samples_per_second": 2.885,
800
+ "eval_steps_per_second": 0.601,
801
+ "step": 5096
802
+ },
803
+ {
804
+ "epoch": 49.03846153846154,
805
+ "grad_norm": 28.625978469848633,
806
+ "learning_rate": 6.0504651162790696e-05,
807
+ "loss": 12.9449,
808
+ "step": 5100
809
+ },
810
+ {
811
+ "epoch": 50.0,
812
+ "grad_norm": 30.444610595703125,
813
+ "learning_rate": 5.9730232558139533e-05,
814
+ "loss": 12.9506,
815
+ "step": 5200
816
+ },
817
+ {
818
+ "epoch": 50.0,
819
+ "eval_dummy": 1.0,
820
+ "eval_loss": 31.28708839416504,
821
+ "eval_runtime": 16.7982,
822
+ "eval_samples_per_second": 2.857,
823
+ "eval_steps_per_second": 0.595,
824
+ "step": 5200
825
+ },
826
+ {
827
+ "epoch": 50.96153846153846,
828
+ "grad_norm": 22.916648864746094,
829
+ "learning_rate": 5.895581395348837e-05,
830
+ "loss": 13.0674,
831
+ "step": 5300
832
+ },
833
+ {
834
+ "epoch": 51.0,
835
+ "eval_dummy": 1.0,
836
+ "eval_loss": 29.57108497619629,
837
+ "eval_runtime": 16.4065,
838
+ "eval_samples_per_second": 2.926,
839
+ "eval_steps_per_second": 0.61,
840
+ "step": 5304
841
+ },
842
+ {
843
+ "epoch": 51.92307692307692,
844
+ "grad_norm": 21.012855529785156,
845
+ "learning_rate": 5.818139534883721e-05,
846
+ "loss": 13.1265,
847
+ "step": 5400
848
+ },
849
+ {
850
+ "epoch": 52.0,
851
+ "eval_dummy": 1.0,
852
+ "eval_loss": 31.08868980407715,
853
+ "eval_runtime": 16.8841,
854
+ "eval_samples_per_second": 2.843,
855
+ "eval_steps_per_second": 0.592,
856
+ "step": 5408
857
+ },
858
+ {
859
+ "epoch": 52.88461538461539,
860
+ "grad_norm": 16.615829467773438,
861
+ "learning_rate": 5.740697674418606e-05,
862
+ "loss": 13.1392,
863
+ "step": 5500
864
+ },
865
+ {
866
+ "epoch": 53.0,
867
+ "eval_dummy": 1.0,
868
+ "eval_loss": 29.843284606933594,
869
+ "eval_runtime": 17.0042,
870
+ "eval_samples_per_second": 2.823,
871
+ "eval_steps_per_second": 0.588,
872
+ "step": 5512
873
+ },
874
+ {
875
+ "epoch": 53.84615384615385,
876
+ "grad_norm": 17.38899040222168,
877
+ "learning_rate": 5.6632558139534884e-05,
878
+ "loss": 12.6108,
879
+ "step": 5600
880
+ },
881
+ {
882
+ "epoch": 54.0,
883
+ "eval_dummy": 1.0,
884
+ "eval_loss": 29.643640518188477,
885
+ "eval_runtime": 16.9549,
886
+ "eval_samples_per_second": 2.831,
887
+ "eval_steps_per_second": 0.59,
888
+ "step": 5616
889
+ },
890
+ {
891
+ "epoch": 54.80769230769231,
892
+ "grad_norm": 20.021800994873047,
893
+ "learning_rate": 5.585813953488372e-05,
894
+ "loss": 12.7608,
895
+ "step": 5700
896
+ },
897
+ {
898
+ "epoch": 55.0,
899
+ "eval_dummy": 1.0,
900
+ "eval_loss": 29.870615005493164,
901
+ "eval_runtime": 16.4959,
902
+ "eval_samples_per_second": 2.91,
903
+ "eval_steps_per_second": 0.606,
904
+ "step": 5720
905
+ },
906
+ {
907
+ "epoch": 55.76923076923077,
908
+ "grad_norm": 19.976686477661133,
909
+ "learning_rate": 5.5083720930232566e-05,
910
+ "loss": 12.8723,
911
+ "step": 5800
912
+ },
913
+ {
914
+ "epoch": 56.0,
915
+ "eval_dummy": 1.0,
916
+ "eval_loss": 30.059600830078125,
917
+ "eval_runtime": 16.9691,
918
+ "eval_samples_per_second": 2.829,
919
+ "eval_steps_per_second": 0.589,
920
+ "step": 5824
921
+ },
922
+ {
923
+ "epoch": 56.73076923076923,
924
+ "grad_norm": 34.17774963378906,
925
+ "learning_rate": 5.4309302325581404e-05,
926
+ "loss": 12.5437,
927
+ "step": 5900
928
+ },
929
+ {
930
+ "epoch": 57.0,
931
+ "eval_dummy": 1.0,
932
+ "eval_loss": 30.136695861816406,
933
+ "eval_runtime": 16.1925,
934
+ "eval_samples_per_second": 2.964,
935
+ "eval_steps_per_second": 0.618,
936
+ "step": 5928
937
+ },
938
+ {
939
+ "epoch": 57.69230769230769,
940
+ "grad_norm": 16.256919860839844,
941
+ "learning_rate": 5.353488372093024e-05,
942
+ "loss": 12.1387,
943
+ "step": 6000
944
+ },
945
+ {
946
+ "epoch": 58.0,
947
+ "eval_dummy": 1.0,
948
+ "eval_loss": 30.4089298248291,
949
+ "eval_runtime": 17.0149,
950
+ "eval_samples_per_second": 2.821,
951
+ "eval_steps_per_second": 0.588,
952
+ "step": 6032
953
+ },
954
+ {
955
+ "epoch": 58.65384615384615,
956
+ "grad_norm": 24.035823822021484,
957
+ "learning_rate": 5.276046511627908e-05,
958
+ "loss": 12.948,
959
+ "step": 6100
960
+ },
961
+ {
962
+ "epoch": 59.0,
963
+ "eval_dummy": 1.0,
964
+ "eval_loss": 30.537500381469727,
965
+ "eval_runtime": 16.6335,
966
+ "eval_samples_per_second": 2.886,
967
+ "eval_steps_per_second": 0.601,
968
+ "step": 6136
969
+ },
970
+ {
971
+ "epoch": 59.61538461538461,
972
+ "grad_norm": 18.700029373168945,
973
+ "learning_rate": 5.1986046511627916e-05,
974
+ "loss": 12.2869,
975
+ "step": 6200
976
+ },
977
+ {
978
+ "epoch": 60.0,
979
+ "eval_dummy": 1.0,
980
+ "eval_loss": 32.38269805908203,
981
+ "eval_runtime": 16.6776,
982
+ "eval_samples_per_second": 2.878,
983
+ "eval_steps_per_second": 0.6,
984
+ "step": 6240
985
+ },
986
+ {
987
+ "epoch": 60.57692307692308,
988
+ "grad_norm": 34.31249237060547,
989
+ "learning_rate": 5.121162790697675e-05,
990
+ "loss": 12.7717,
991
+ "step": 6300
992
+ },
993
+ {
994
+ "epoch": 61.0,
995
+ "eval_dummy": 1.0,
996
+ "eval_loss": 30.639678955078125,
997
+ "eval_runtime": 16.6901,
998
+ "eval_samples_per_second": 2.876,
999
+ "eval_steps_per_second": 0.599,
1000
+ "step": 6344
1001
+ },
1002
+ {
1003
+ "epoch": 61.53846153846154,
1004
+ "grad_norm": 26.939144134521484,
1005
+ "learning_rate": 5.0437209302325585e-05,
1006
+ "loss": 12.4924,
1007
+ "step": 6400
1008
+ },
1009
+ {
1010
+ "epoch": 62.0,
1011
+ "eval_dummy": 1.0,
1012
+ "eval_loss": 30.700525283813477,
1013
+ "eval_runtime": 16.6341,
1014
+ "eval_samples_per_second": 2.886,
1015
+ "eval_steps_per_second": 0.601,
1016
+ "step": 6448
1017
+ },
1018
+ {
1019
+ "epoch": 62.5,
1020
+ "grad_norm": 13.92809009552002,
1021
+ "learning_rate": 4.966279069767442e-05,
1022
+ "loss": 12.3031,
1023
+ "step": 6500
1024
+ },
1025
+ {
1026
+ "epoch": 63.0,
1027
+ "eval_dummy": 1.0,
1028
+ "eval_loss": 29.986501693725586,
1029
+ "eval_runtime": 16.2627,
1030
+ "eval_samples_per_second": 2.952,
1031
+ "eval_steps_per_second": 0.615,
1032
+ "step": 6552
1033
+ },
1034
+ {
1035
+ "epoch": 63.46153846153846,
1036
+ "grad_norm": 53.49395751953125,
1037
+ "learning_rate": 4.888837209302326e-05,
1038
+ "loss": 12.5575,
1039
+ "step": 6600
1040
+ },
1041
+ {
1042
+ "epoch": 64.0,
1043
+ "eval_dummy": 1.0,
1044
+ "eval_loss": 31.06968116760254,
1045
+ "eval_runtime": 16.634,
1046
+ "eval_samples_per_second": 2.886,
1047
+ "eval_steps_per_second": 0.601,
1048
+ "step": 6656
1049
+ },
1050
+ {
1051
+ "epoch": 64.42307692307692,
1052
+ "grad_norm": 20.313173294067383,
1053
+ "learning_rate": 4.811395348837209e-05,
1054
+ "loss": 11.9496,
1055
+ "step": 6700
1056
+ },
1057
+ {
1058
+ "epoch": 65.0,
1059
+ "eval_dummy": 1.0,
1060
+ "eval_loss": 31.579355239868164,
1061
+ "eval_runtime": 16.5822,
1062
+ "eval_samples_per_second": 2.895,
1063
+ "eval_steps_per_second": 0.603,
1064
+ "step": 6760
1065
+ },
1066
+ {
1067
+ "epoch": 65.38461538461539,
1068
+ "grad_norm": 33.59545135498047,
1069
+ "learning_rate": 4.733953488372093e-05,
1070
+ "loss": 12.0462,
1071
+ "step": 6800
1072
+ },
1073
+ {
1074
+ "epoch": 66.0,
1075
+ "eval_dummy": 1.0,
1076
+ "eval_loss": 31.65366554260254,
1077
+ "eval_runtime": 16.6216,
1078
+ "eval_samples_per_second": 2.888,
1079
+ "eval_steps_per_second": 0.602,
1080
+ "step": 6864
1081
+ },
1082
+ {
1083
+ "epoch": 66.34615384615384,
1084
+ "grad_norm": 41.989036560058594,
1085
+ "learning_rate": 4.656511627906977e-05,
1086
+ "loss": 12.7167,
1087
+ "step": 6900
1088
+ },
1089
+ {
1090
+ "epoch": 67.0,
1091
+ "eval_dummy": 1.0,
1092
+ "eval_loss": 30.74114990234375,
1093
+ "eval_runtime": 16.9556,
1094
+ "eval_samples_per_second": 2.831,
1095
+ "eval_steps_per_second": 0.59,
1096
+ "step": 6968
1097
+ },
1098
+ {
1099
+ "epoch": 67.3076923076923,
1100
+ "grad_norm": 39.545814514160156,
1101
+ "learning_rate": 4.579069767441861e-05,
1102
+ "loss": 11.8595,
1103
+ "step": 7000
1104
+ },
1105
+ {
1106
+ "epoch": 68.0,
1107
+ "eval_dummy": 1.0,
1108
+ "eval_loss": 30.4969539642334,
1109
+ "eval_runtime": 16.5848,
1110
+ "eval_samples_per_second": 2.894,
1111
+ "eval_steps_per_second": 0.603,
1112
+ "step": 7072
1113
+ },
1114
+ {
1115
+ "epoch": 68.26923076923077,
1116
+ "grad_norm": 17.500286102294922,
1117
+ "learning_rate": 4.501627906976745e-05,
1118
+ "loss": 11.7458,
1119
+ "step": 7100
1120
+ },
1121
+ {
1122
+ "epoch": 69.0,
1123
+ "eval_dummy": 1.0,
1124
+ "eval_loss": 30.833221435546875,
1125
+ "eval_runtime": 16.7855,
1126
+ "eval_samples_per_second": 2.86,
1127
+ "eval_steps_per_second": 0.596,
1128
+ "step": 7176
1129
+ },
1130
+ {
1131
+ "epoch": 69.23076923076923,
1132
+ "grad_norm": 18.128597259521484,
1133
+ "learning_rate": 4.4241860465116286e-05,
1134
+ "loss": 12.2058,
1135
+ "step": 7200
1136
+ },
1137
+ {
1138
+ "epoch": 70.0,
1139
+ "eval_dummy": 1.0,
1140
+ "eval_loss": 32.0950813293457,
1141
+ "eval_runtime": 17.2742,
1142
+ "eval_samples_per_second": 2.779,
1143
+ "eval_steps_per_second": 0.579,
1144
+ "step": 7280
1145
+ },
1146
+ {
1147
+ "epoch": 70.1923076923077,
1148
+ "grad_norm": 25.363075256347656,
1149
+ "learning_rate": 4.3467441860465117e-05,
1150
+ "loss": 12.0874,
1151
+ "step": 7300
1152
+ },
1153
+ {
1154
+ "epoch": 71.0,
1155
+ "eval_dummy": 1.0,
1156
+ "eval_loss": 32.46952438354492,
1157
+ "eval_runtime": 17.4937,
1158
+ "eval_samples_per_second": 2.744,
1159
+ "eval_steps_per_second": 0.572,
1160
+ "step": 7384
1161
+ },
1162
+ {
1163
+ "epoch": 71.15384615384616,
1164
+ "grad_norm": 9.088305473327637,
1165
+ "learning_rate": 4.2693023255813954e-05,
1166
+ "loss": 11.705,
1167
+ "step": 7400
1168
+ },
1169
+ {
1170
+ "epoch": 72.0,
1171
+ "eval_dummy": 1.0,
1172
+ "eval_loss": 31.311721801757812,
1173
+ "eval_runtime": 16.6157,
1174
+ "eval_samples_per_second": 2.889,
1175
+ "eval_steps_per_second": 0.602,
1176
+ "step": 7488
1177
+ },
1178
+ {
1179
+ "epoch": 72.11538461538461,
1180
+ "grad_norm": 21.332366943359375,
1181
+ "learning_rate": 4.191860465116279e-05,
1182
+ "loss": 12.0,
1183
+ "step": 7500
1184
+ },
1185
+ {
1186
+ "epoch": 73.0,
1187
+ "eval_dummy": 1.0,
1188
+ "eval_loss": 30.654035568237305,
1189
+ "eval_runtime": 17.001,
1190
+ "eval_samples_per_second": 2.823,
1191
+ "eval_steps_per_second": 0.588,
1192
+ "step": 7592
1193
+ },
1194
+ {
1195
+ "epoch": 73.07692307692308,
1196
+ "grad_norm": 16.92377281188965,
1197
+ "learning_rate": 4.114418604651163e-05,
1198
+ "loss": 11.9852,
1199
+ "step": 7600
1200
+ },
1201
+ {
1202
+ "epoch": 74.0,
1203
+ "eval_dummy": 1.0,
1204
+ "eval_loss": 34.29496765136719,
1205
+ "eval_runtime": 16.6247,
1206
+ "eval_samples_per_second": 2.887,
1207
+ "eval_steps_per_second": 0.602,
1208
+ "step": 7696
1209
+ },
1210
+ {
1211
+ "epoch": 74.03846153846153,
1212
+ "grad_norm": 47.94444274902344,
1213
+ "learning_rate": 4.0369767441860474e-05,
1214
+ "loss": 11.8647,
1215
+ "step": 7700
1216
+ },
1217
+ {
1218
+ "epoch": 75.0,
1219
+ "grad_norm": 31.79910659790039,
1220
+ "learning_rate": 3.959534883720931e-05,
1221
+ "loss": 11.7597,
1222
+ "step": 7800
1223
+ },
1224
+ {
1225
+ "epoch": 75.0,
1226
+ "eval_dummy": 1.0,
1227
+ "eval_loss": 31.636077880859375,
1228
+ "eval_runtime": 16.64,
1229
+ "eval_samples_per_second": 2.885,
1230
+ "eval_steps_per_second": 0.601,
1231
+ "step": 7800
1232
+ },
1233
+ {
1234
+ "epoch": 75.96153846153847,
1235
+ "grad_norm": 17.918701171875,
1236
+ "learning_rate": 3.882093023255814e-05,
1237
+ "loss": 11.8713,
1238
+ "step": 7900
1239
+ },
1240
+ {
1241
+ "epoch": 76.0,
1242
+ "eval_dummy": 1.0,
1243
+ "eval_loss": 31.10820198059082,
1244
+ "eval_runtime": 16.6206,
1245
+ "eval_samples_per_second": 2.888,
1246
+ "eval_steps_per_second": 0.602,
1247
+ "step": 7904
1248
+ },
1249
+ {
1250
+ "epoch": 76.92307692307692,
1251
+ "grad_norm": 34.80290985107422,
1252
+ "learning_rate": 3.804651162790698e-05,
1253
+ "loss": 11.705,
1254
+ "step": 8000
1255
+ },
1256
+ {
1257
+ "epoch": 77.0,
1258
+ "eval_dummy": 1.0,
1259
+ "eval_loss": 31.87137794494629,
1260
+ "eval_runtime": 16.986,
1261
+ "eval_samples_per_second": 2.826,
1262
+ "eval_steps_per_second": 0.589,
1263
+ "step": 8008
1264
+ },
1265
+ {
1266
+ "epoch": 77.88461538461539,
1267
+ "grad_norm": 16.33148193359375,
1268
+ "learning_rate": 3.727209302325582e-05,
1269
+ "loss": 11.5474,
1270
+ "step": 8100
1271
+ },
1272
+ {
1273
+ "epoch": 78.0,
1274
+ "eval_dummy": 1.0,
1275
+ "eval_loss": 31.029922485351562,
1276
+ "eval_runtime": 16.598,
1277
+ "eval_samples_per_second": 2.892,
1278
+ "eval_steps_per_second": 0.602,
1279
+ "step": 8112
1280
+ },
1281
+ {
1282
+ "epoch": 78.84615384615384,
1283
+ "grad_norm": 15.126340866088867,
1284
+ "learning_rate": 3.6497674418604655e-05,
1285
+ "loss": 11.8387,
1286
+ "step": 8200
1287
+ },
1288
+ {
1289
+ "epoch": 79.0,
1290
+ "eval_dummy": 1.0,
1291
+ "eval_loss": 31.367172241210938,
1292
+ "eval_runtime": 16.6089,
1293
+ "eval_samples_per_second": 2.89,
1294
+ "eval_steps_per_second": 0.602,
1295
+ "step": 8216
1296
+ },
1297
+ {
1298
+ "epoch": 79.8076923076923,
1299
+ "grad_norm": 13.069074630737305,
1300
+ "learning_rate": 3.5723255813953486e-05,
1301
+ "loss": 11.7057,
1302
+ "step": 8300
1303
+ },
1304
+ {
1305
+ "epoch": 80.0,
1306
+ "eval_dummy": 1.0,
1307
+ "eval_loss": 31.643484115600586,
1308
+ "eval_runtime": 16.4881,
1309
+ "eval_samples_per_second": 2.911,
1310
+ "eval_steps_per_second": 0.606,
1311
+ "step": 8320
1312
+ },
1313
+ {
1314
+ "epoch": 80.76923076923077,
1315
+ "grad_norm": 24.73469352722168,
1316
+ "learning_rate": 3.4948837209302323e-05,
1317
+ "loss": 11.5656,
1318
+ "step": 8400
1319
+ },
1320
+ {
1321
+ "epoch": 81.0,
1322
+ "eval_dummy": 1.0,
1323
+ "eval_loss": 31.194046020507812,
1324
+ "eval_runtime": 16.6985,
1325
+ "eval_samples_per_second": 2.875,
1326
+ "eval_steps_per_second": 0.599,
1327
+ "step": 8424
1328
+ },
1329
+ {
1330
+ "epoch": 81.73076923076923,
1331
+ "grad_norm": 26.05837631225586,
1332
+ "learning_rate": 3.417441860465117e-05,
1333
+ "loss": 11.6578,
1334
+ "step": 8500
1335
+ },
1336
+ {
1337
+ "epoch": 82.0,
1338
+ "eval_dummy": 1.0,
1339
+ "eval_loss": 31.818357467651367,
1340
+ "eval_runtime": 16.6321,
1341
+ "eval_samples_per_second": 2.886,
1342
+ "eval_steps_per_second": 0.601,
1343
+ "step": 8528
1344
+ },
1345
+ {
1346
+ "epoch": 82.6923076923077,
1347
+ "grad_norm": 29.041229248046875,
1348
+ "learning_rate": 3.3400000000000005e-05,
1349
+ "loss": 11.3049,
1350
+ "step": 8600
1351
+ },
1352
+ {
1353
+ "epoch": 83.0,
1354
+ "eval_dummy": 1.0,
1355
+ "eval_loss": 31.866790771484375,
1356
+ "eval_runtime": 16.6756,
1357
+ "eval_samples_per_second": 2.878,
1358
+ "eval_steps_per_second": 0.6,
1359
+ "step": 8632
1360
+ },
1361
+ {
1362
+ "epoch": 83.65384615384616,
1363
+ "grad_norm": 14.160347938537598,
1364
+ "learning_rate": 3.262558139534884e-05,
1365
+ "loss": 11.5542,
1366
+ "step": 8700
1367
+ },
1368
+ {
1369
+ "epoch": 84.0,
1370
+ "eval_dummy": 1.0,
1371
+ "eval_loss": 32.81920623779297,
1372
+ "eval_runtime": 16.6408,
1373
+ "eval_samples_per_second": 2.884,
1374
+ "eval_steps_per_second": 0.601,
1375
+ "step": 8736
1376
+ },
1377
+ {
1378
+ "epoch": 84.61538461538461,
1379
+ "grad_norm": 11.912644386291504,
1380
+ "learning_rate": 3.185116279069768e-05,
1381
+ "loss": 11.3942,
1382
+ "step": 8800
1383
+ },
1384
+ {
1385
+ "epoch": 85.0,
1386
+ "eval_dummy": 1.0,
1387
+ "eval_loss": 30.972320556640625,
1388
+ "eval_runtime": 16.7795,
1389
+ "eval_samples_per_second": 2.861,
1390
+ "eval_steps_per_second": 0.596,
1391
+ "step": 8840
1392
+ },
1393
+ {
1394
+ "epoch": 85.57692307692308,
1395
+ "grad_norm": 19.492916107177734,
1396
+ "learning_rate": 3.107674418604651e-05,
1397
+ "loss": 11.6955,
1398
+ "step": 8900
1399
+ },
1400
+ {
1401
+ "epoch": 86.0,
1402
+ "eval_dummy": 1.0,
1403
+ "eval_loss": 31.348657608032227,
1404
+ "eval_runtime": 16.743,
1405
+ "eval_samples_per_second": 2.867,
1406
+ "eval_steps_per_second": 0.597,
1407
+ "step": 8944
1408
+ },
1409
+ {
1410
+ "epoch": 86.53846153846153,
1411
+ "grad_norm": 14.419718742370605,
1412
+ "learning_rate": 3.0302325581395346e-05,
1413
+ "loss": 11.4862,
1414
+ "step": 9000
1415
+ },
1416
+ {
1417
+ "epoch": 87.0,
1418
+ "eval_dummy": 1.0,
1419
+ "eval_loss": 32.045135498046875,
1420
+ "eval_runtime": 16.7069,
1421
+ "eval_samples_per_second": 2.873,
1422
+ "eval_steps_per_second": 0.599,
1423
+ "step": 9048
1424
+ },
1425
+ {
1426
+ "epoch": 87.5,
1427
+ "grad_norm": 24.9334659576416,
1428
+ "learning_rate": 2.9527906976744187e-05,
1429
+ "loss": 11.5867,
1430
+ "step": 9100
1431
+ },
1432
+ {
1433
+ "epoch": 88.0,
1434
+ "eval_dummy": 1.0,
1435
+ "eval_loss": 31.976896286010742,
1436
+ "eval_runtime": 16.5865,
1437
+ "eval_samples_per_second": 2.894,
1438
+ "eval_steps_per_second": 0.603,
1439
+ "step": 9152
1440
+ },
1441
+ {
1442
+ "epoch": 88.46153846153847,
1443
+ "grad_norm": 10.158917427062988,
1444
+ "learning_rate": 2.8753488372093018e-05,
1445
+ "loss": 11.0975,
1446
+ "step": 9200
1447
+ },
1448
+ {
1449
+ "epoch": 89.0,
1450
+ "eval_dummy": 1.0,
1451
+ "eval_loss": 31.972078323364258,
1452
+ "eval_runtime": 16.6959,
1453
+ "eval_samples_per_second": 2.875,
1454
+ "eval_steps_per_second": 0.599,
1455
+ "step": 9256
1456
+ },
1457
+ {
1458
+ "epoch": 89.42307692307692,
1459
+ "grad_norm": 11.408435821533203,
1460
+ "learning_rate": 2.797906976744187e-05,
1461
+ "loss": 11.5126,
1462
+ "step": 9300
1463
+ },
1464
+ {
1465
+ "epoch": 90.0,
1466
+ "eval_dummy": 1.0,
1467
+ "eval_loss": 35.387664794921875,
1468
+ "eval_runtime": 16.6889,
1469
+ "eval_samples_per_second": 2.876,
1470
+ "eval_steps_per_second": 0.599,
1471
+ "step": 9360
1472
+ },
1473
+ {
1474
+ "epoch": 90.38461538461539,
1475
+ "grad_norm": 18.4831600189209,
1476
+ "learning_rate": 2.72046511627907e-05,
1477
+ "loss": 11.067,
1478
+ "step": 9400
1479
+ },
1480
+ {
1481
+ "epoch": 91.0,
1482
+ "eval_dummy": 1.0,
1483
+ "eval_loss": 33.76138687133789,
1484
+ "eval_runtime": 16.2325,
1485
+ "eval_samples_per_second": 2.957,
1486
+ "eval_steps_per_second": 0.616,
1487
+ "step": 9464
1488
+ },
1489
+ {
1490
+ "epoch": 91.34615384615384,
1491
+ "grad_norm": 14.10232925415039,
1492
+ "learning_rate": 2.643023255813954e-05,
1493
+ "loss": 11.3857,
1494
+ "step": 9500
1495
+ },
1496
+ {
1497
+ "epoch": 92.0,
1498
+ "eval_dummy": 1.0,
1499
+ "eval_loss": 32.704566955566406,
1500
+ "eval_runtime": 16.6368,
1501
+ "eval_samples_per_second": 2.885,
1502
+ "eval_steps_per_second": 0.601,
1503
+ "step": 9568
1504
+ },
1505
+ {
1506
+ "epoch": 92.3076923076923,
1507
+ "grad_norm": 10.36620807647705,
1508
+ "learning_rate": 2.565581395348837e-05,
1509
+ "loss": 11.5511,
1510
+ "step": 9600
1511
+ },
1512
+ {
1513
+ "epoch": 93.0,
1514
+ "eval_dummy": 1.0,
1515
+ "eval_loss": 32.10957336425781,
1516
+ "eval_runtime": 16.8564,
1517
+ "eval_samples_per_second": 2.848,
1518
+ "eval_steps_per_second": 0.593,
1519
+ "step": 9672
1520
+ },
1521
+ {
1522
+ "epoch": 93.26923076923077,
1523
+ "grad_norm": 13.063793182373047,
1524
+ "learning_rate": 2.488139534883721e-05,
1525
+ "loss": 11.0961,
1526
+ "step": 9700
1527
+ },
1528
+ {
1529
+ "epoch": 94.0,
1530
+ "eval_dummy": 1.0,
1531
+ "eval_loss": 32.8302001953125,
1532
+ "eval_runtime": 16.6194,
1533
+ "eval_samples_per_second": 2.888,
1534
+ "eval_steps_per_second": 0.602,
1535
+ "step": 9776
1536
+ },
1537
+ {
1538
+ "epoch": 94.23076923076923,
1539
+ "grad_norm": 47.0684814453125,
1540
+ "learning_rate": 2.4106976744186043e-05,
1541
+ "loss": 11.2935,
1542
+ "step": 9800
1543
+ },
1544
+ {
1545
+ "epoch": 95.0,
1546
+ "eval_dummy": 1.0,
1547
+ "eval_loss": 32.66879653930664,
1548
+ "eval_runtime": 16.8788,
1549
+ "eval_samples_per_second": 2.844,
1550
+ "eval_steps_per_second": 0.592,
1551
+ "step": 9880
1552
+ },
1553
+ {
1554
+ "epoch": 95.1923076923077,
1555
+ "grad_norm": 16.18996238708496,
1556
+ "learning_rate": 2.333255813953488e-05,
1557
+ "loss": 11.2398,
1558
+ "step": 9900
1559
+ },
1560
+ {
1561
+ "epoch": 96.0,
1562
+ "eval_dummy": 1.0,
1563
+ "eval_loss": 32.2806510925293,
1564
+ "eval_runtime": 16.4167,
1565
+ "eval_samples_per_second": 2.924,
1566
+ "eval_steps_per_second": 0.609,
1567
+ "step": 9984
1568
+ },
1569
+ {
1570
+ "epoch": 96.15384615384616,
1571
+ "grad_norm": 20.301530838012695,
1572
+ "learning_rate": 2.2558139534883715e-05,
1573
+ "loss": 11.0444,
1574
+ "step": 10000
1575
+ },
1576
+ {
1577
+ "epoch": 97.0,
1578
+ "eval_dummy": 1.0,
1579
+ "eval_loss": 32.276641845703125,
1580
+ "eval_runtime": 16.7261,
1581
+ "eval_samples_per_second": 2.87,
1582
+ "eval_steps_per_second": 0.598,
1583
+ "step": 10088
1584
+ },
1585
+ {
1586
+ "epoch": 97.11538461538461,
1587
+ "grad_norm": 16.50993537902832,
1588
+ "learning_rate": 2.1783720930232563e-05,
1589
+ "loss": 11.3157,
1590
+ "step": 10100
1591
+ },
1592
+ {
1593
+ "epoch": 98.0,
1594
+ "eval_dummy": 1.0,
1595
+ "eval_loss": 32.443729400634766,
1596
+ "eval_runtime": 16.7525,
1597
+ "eval_samples_per_second": 2.865,
1598
+ "eval_steps_per_second": 0.597,
1599
+ "step": 10192
1600
+ },
1601
+ {
1602
+ "epoch": 98.07692307692308,
1603
+ "grad_norm": 13.487881660461426,
1604
+ "learning_rate": 2.1009302325581397e-05,
1605
+ "loss": 11.0191,
1606
+ "step": 10200
1607
+ },
1608
+ {
1609
+ "epoch": 99.0,
1610
+ "eval_dummy": 1.0,
1611
+ "eval_loss": 32.385108947753906,
1612
+ "eval_runtime": 16.6154,
1613
+ "eval_samples_per_second": 2.889,
1614
+ "eval_steps_per_second": 0.602,
1615
+ "step": 10296
1616
+ },
1617
+ {
1618
+ "epoch": 99.03846153846153,
1619
+ "grad_norm": 13.905572891235352,
1620
+ "learning_rate": 2.0234883720930235e-05,
1621
+ "loss": 11.2286,
1622
+ "step": 10300
1623
+ },
1624
+ {
1625
+ "epoch": 100.0,
1626
+ "grad_norm": 37.709373474121094,
1627
+ "learning_rate": 1.946046511627907e-05,
1628
+ "loss": 11.1406,
1629
+ "step": 10400
1630
+ },
1631
+ {
1632
+ "epoch": 100.0,
1633
+ "eval_dummy": 1.0,
1634
+ "eval_loss": 32.138919830322266,
1635
+ "eval_runtime": 16.6356,
1636
+ "eval_samples_per_second": 2.885,
1637
+ "eval_steps_per_second": 0.601,
1638
+ "step": 10400
1639
+ },
1640
+ {
1641
+ "epoch": 100.96153846153847,
1642
+ "grad_norm": 9.66380500793457,
1643
+ "learning_rate": 1.8686046511627907e-05,
1644
+ "loss": 11.1237,
1645
+ "step": 10500
1646
+ },
1647
+ {
1648
+ "epoch": 101.0,
1649
+ "eval_dummy": 1.0,
1650
+ "eval_loss": 32.488643646240234,
1651
+ "eval_runtime": 16.5945,
1652
+ "eval_samples_per_second": 2.893,
1653
+ "eval_steps_per_second": 0.603,
1654
+ "step": 10504
1655
+ },
1656
+ {
1657
+ "epoch": 101.92307692307692,
1658
+ "grad_norm": 8.697158813476562,
1659
+ "learning_rate": 1.791162790697674e-05,
1660
+ "loss": 10.9485,
1661
+ "step": 10600
1662
+ },
1663
+ {
1664
+ "epoch": 102.0,
1665
+ "eval_dummy": 1.0,
1666
+ "eval_loss": 32.50514602661133,
1667
+ "eval_runtime": 16.4431,
1668
+ "eval_samples_per_second": 2.919,
1669
+ "eval_steps_per_second": 0.608,
1670
+ "step": 10608
1671
+ },
1672
+ {
1673
+ "epoch": 102.88461538461539,
1674
+ "grad_norm": 7.563882350921631,
1675
+ "learning_rate": 1.713720930232558e-05,
1676
+ "loss": 10.9188,
1677
+ "step": 10700
1678
+ },
1679
+ {
1680
+ "epoch": 103.0,
1681
+ "eval_dummy": 1.0,
1682
+ "eval_loss": 32.86152648925781,
1683
+ "eval_runtime": 16.6025,
1684
+ "eval_samples_per_second": 2.891,
1685
+ "eval_steps_per_second": 0.602,
1686
+ "step": 10712
1687
+ },
1688
+ {
1689
+ "epoch": 103.84615384615384,
1690
+ "grad_norm": 9.366110801696777,
1691
+ "learning_rate": 1.6362790697674413e-05,
1692
+ "loss": 11.3029,
1693
+ "step": 10800
1694
+ },
1695
+ {
1696
+ "epoch": 104.0,
1697
+ "eval_dummy": 1.0,
1698
+ "eval_loss": 33.038761138916016,
1699
+ "eval_runtime": 16.8928,
1700
+ "eval_samples_per_second": 2.841,
1701
+ "eval_steps_per_second": 0.592,
1702
+ "step": 10816
1703
+ },
1704
+ {
1705
+ "epoch": 104.8076923076923,
1706
+ "grad_norm": 28.598913192749023,
1707
+ "learning_rate": 1.558837209302326e-05,
1708
+ "loss": 11.2023,
1709
+ "step": 10900
1710
+ },
1711
+ {
1712
+ "epoch": 105.0,
1713
+ "eval_dummy": 1.0,
1714
+ "eval_loss": 32.492279052734375,
1715
+ "eval_runtime": 16.6606,
1716
+ "eval_samples_per_second": 2.881,
1717
+ "eval_steps_per_second": 0.6,
1718
+ "step": 10920
1719
+ },
1720
+ {
1721
+ "epoch": 105.76923076923077,
1722
+ "grad_norm": 23.246570587158203,
1723
+ "learning_rate": 1.4813953488372098e-05,
1724
+ "loss": 10.9634,
1725
+ "step": 11000
1726
+ },
1727
+ {
1728
+ "epoch": 106.0,
1729
+ "eval_dummy": 1.0,
1730
+ "eval_loss": 32.32876968383789,
1731
+ "eval_runtime": 16.8242,
1732
+ "eval_samples_per_second": 2.853,
1733
+ "eval_steps_per_second": 0.594,
1734
+ "step": 11024
1735
+ },
1736
+ {
1737
+ "epoch": 106.73076923076923,
1738
+ "grad_norm": 12.571370124816895,
1739
+ "learning_rate": 1.4039534883720934e-05,
1740
+ "loss": 11.257,
1741
+ "step": 11100
1742
+ },
1743
+ {
1744
+ "epoch": 107.0,
1745
+ "eval_dummy": 1.0,
1746
+ "eval_loss": 31.88549041748047,
1747
+ "eval_runtime": 16.349,
1748
+ "eval_samples_per_second": 2.936,
1749
+ "eval_steps_per_second": 0.612,
1750
+ "step": 11128
1751
+ },
1752
+ {
1753
+ "epoch": 107.6923076923077,
1754
+ "grad_norm": 26.309329986572266,
1755
+ "learning_rate": 1.326511627906977e-05,
1756
+ "loss": 11.0193,
1757
+ "step": 11200
1758
+ },
1759
+ {
1760
+ "epoch": 108.0,
1761
+ "eval_dummy": 1.0,
1762
+ "eval_loss": 34.006710052490234,
1763
+ "eval_runtime": 17.4954,
1764
+ "eval_samples_per_second": 2.744,
1765
+ "eval_steps_per_second": 0.572,
1766
+ "step": 11232
1767
+ },
1768
+ {
1769
+ "epoch": 108.65384615384616,
1770
+ "grad_norm": 21.006258010864258,
1771
+ "learning_rate": 1.2490697674418606e-05,
1772
+ "loss": 10.6401,
1773
+ "step": 11300
1774
+ },
1775
+ {
1776
+ "epoch": 109.0,
1777
+ "eval_dummy": 1.0,
1778
+ "eval_loss": 33.29460144042969,
1779
+ "eval_runtime": 16.6851,
1780
+ "eval_samples_per_second": 2.877,
1781
+ "eval_steps_per_second": 0.599,
1782
+ "step": 11336
1783
+ },
1784
+ {
1785
+ "epoch": 109.61538461538461,
1786
+ "grad_norm": 17.321447372436523,
1787
+ "learning_rate": 1.1716279069767442e-05,
1788
+ "loss": 11.0542,
1789
+ "step": 11400
1790
+ },
1791
+ {
1792
+ "epoch": 110.0,
1793
+ "eval_dummy": 1.0,
1794
+ "eval_loss": 34.05351638793945,
1795
+ "eval_runtime": 16.6555,
1796
+ "eval_samples_per_second": 2.882,
1797
+ "eval_steps_per_second": 0.6,
1798
+ "step": 11440
1799
+ },
1800
+ {
1801
+ "epoch": 110.57692307692308,
1802
+ "grad_norm": 15.087108612060547,
1803
+ "learning_rate": 1.0941860465116278e-05,
1804
+ "loss": 10.888,
1805
+ "step": 11500
1806
+ },
1807
+ {
1808
+ "epoch": 111.0,
1809
+ "eval_dummy": 1.0,
1810
+ "eval_loss": 32.72056198120117,
1811
+ "eval_runtime": 16.9072,
1812
+ "eval_samples_per_second": 2.839,
1813
+ "eval_steps_per_second": 0.591,
1814
+ "step": 11544
1815
+ },
1816
+ {
1817
+ "epoch": 111.53846153846153,
1818
+ "grad_norm": 8.586106300354004,
1819
+ "learning_rate": 1.0167441860465113e-05,
1820
+ "loss": 10.9706,
1821
+ "step": 11600
1822
+ },
1823
+ {
1824
+ "epoch": 112.0,
1825
+ "eval_dummy": 1.0,
1826
+ "eval_loss": 33.12382888793945,
1827
+ "eval_runtime": 16.5804,
1828
+ "eval_samples_per_second": 2.895,
1829
+ "eval_steps_per_second": 0.603,
1830
+ "step": 11648
1831
+ },
1832
+ {
1833
+ "epoch": 112.5,
1834
+ "grad_norm": 7.436498165130615,
1835
+ "learning_rate": 9.39302325581396e-06,
1836
+ "loss": 11.0075,
1837
+ "step": 11700
1838
+ },
1839
+ {
1840
+ "epoch": 113.0,
1841
+ "eval_dummy": 1.0,
1842
+ "eval_loss": 32.988155364990234,
1843
+ "eval_runtime": 16.4227,
1844
+ "eval_samples_per_second": 2.923,
1845
+ "eval_steps_per_second": 0.609,
1846
+ "step": 11752
1847
+ },
1848
+ {
1849
+ "epoch": 113.46153846153847,
1850
+ "grad_norm": 8.474443435668945,
1851
+ "learning_rate": 8.618604651162795e-06,
1852
+ "loss": 10.7895,
1853
+ "step": 11800
1854
+ },
1855
+ {
1856
+ "epoch": 114.0,
1857
+ "eval_dummy": 1.0,
1858
+ "eval_loss": 32.79851150512695,
1859
+ "eval_runtime": 17.5126,
1860
+ "eval_samples_per_second": 2.741,
1861
+ "eval_steps_per_second": 0.571,
1862
+ "step": 11856
1863
+ },
1864
+ {
1865
+ "epoch": 114.42307692307692,
1866
+ "grad_norm": 17.689861297607422,
1867
+ "learning_rate": 7.844186046511631e-06,
1868
+ "loss": 10.9181,
1869
+ "step": 11900
1870
+ },
1871
+ {
1872
+ "epoch": 115.0,
1873
+ "eval_dummy": 1.0,
1874
+ "eval_loss": 32.91426086425781,
1875
+ "eval_runtime": 17.7135,
1876
+ "eval_samples_per_second": 2.71,
1877
+ "eval_steps_per_second": 0.565,
1878
+ "step": 11960
1879
+ },
1880
+ {
1881
+ "epoch": 115.38461538461539,
1882
+ "grad_norm": 10.550300598144531,
1883
+ "learning_rate": 7.069767441860467e-06,
1884
+ "loss": 10.5938,
1885
+ "step": 12000
1886
+ },
1887
+ {
1888
+ "epoch": 116.0,
1889
+ "eval_dummy": 1.0,
1890
+ "eval_loss": 33.07219314575195,
1891
+ "eval_runtime": 16.7996,
1892
+ "eval_samples_per_second": 2.857,
1893
+ "eval_steps_per_second": 0.595,
1894
+ "step": 12064
1895
+ },
1896
+ {
1897
+ "epoch": 116.34615384615384,
1898
+ "grad_norm": 10.545084953308105,
1899
+ "learning_rate": 6.295348837209302e-06,
1900
+ "loss": 10.4932,
1901
+ "step": 12100
1902
+ },
1903
+ {
1904
+ "epoch": 117.0,
1905
+ "eval_dummy": 1.0,
1906
+ "eval_loss": 34.2365837097168,
1907
+ "eval_runtime": 17.0204,
1908
+ "eval_samples_per_second": 2.82,
1909
+ "eval_steps_per_second": 0.588,
1910
+ "step": 12168
1911
+ },
1912
+ {
1913
+ "epoch": 117.3076923076923,
1914
+ "grad_norm": 11.177499771118164,
1915
+ "learning_rate": 5.520930232558138e-06,
1916
+ "loss": 10.9761,
1917
+ "step": 12200
1918
+ },
1919
+ {
1920
+ "epoch": 118.0,
1921
+ "eval_dummy": 1.0,
1922
+ "eval_loss": 33.88801956176758,
1923
+ "eval_runtime": 16.5143,
1924
+ "eval_samples_per_second": 2.907,
1925
+ "eval_steps_per_second": 0.606,
1926
+ "step": 12272
1927
+ },
1928
+ {
1929
+ "epoch": 118.26923076923077,
1930
+ "grad_norm": 9.421356201171875,
1931
+ "learning_rate": 4.746511627906974e-06,
1932
+ "loss": 10.6918,
1933
+ "step": 12300
1934
+ },
1935
+ {
1936
+ "epoch": 119.0,
1937
+ "eval_dummy": 1.0,
1938
+ "eval_loss": 34.32889175415039,
1939
+ "eval_runtime": 17.2621,
1940
+ "eval_samples_per_second": 2.781,
1941
+ "eval_steps_per_second": 0.579,
1942
+ "step": 12376
1943
+ },
1944
+ {
1945
+ "epoch": 119.23076923076923,
1946
+ "grad_norm": 11.958416938781738,
1947
+ "learning_rate": 3.97209302325581e-06,
1948
+ "loss": 10.896,
1949
+ "step": 12400
1950
+ },
1951
+ {
1952
+ "epoch": 120.0,
1953
+ "eval_dummy": 1.0,
1954
+ "eval_loss": 33.60952377319336,
1955
+ "eval_runtime": 17.2959,
1956
+ "eval_samples_per_second": 2.775,
1957
+ "eval_steps_per_second": 0.578,
1958
+ "step": 12480
1959
+ },
1960
+ {
1961
+ "epoch": 120.1923076923077,
1962
+ "grad_norm": 7.985867023468018,
1963
+ "learning_rate": 3.1976744186046562e-06,
1964
+ "loss": 10.6876,
1965
+ "step": 12500
1966
+ },
1967
+ {
1968
+ "epoch": 121.0,
1969
+ "eval_dummy": 1.0,
1970
+ "eval_loss": 33.86077880859375,
1971
+ "eval_runtime": 17.1725,
1972
+ "eval_samples_per_second": 2.795,
1973
+ "eval_steps_per_second": 0.582,
1974
+ "step": 12584
1975
+ },
1976
+ {
1977
+ "epoch": 121.15384615384616,
1978
+ "grad_norm": 7.811230182647705,
1979
+ "learning_rate": 2.4232558139534926e-06,
1980
+ "loss": 10.5666,
1981
+ "step": 12600
1982
+ },
1983
+ {
1984
+ "epoch": 122.0,
1985
+ "eval_dummy": 1.0,
1986
+ "eval_loss": 33.69937515258789,
1987
+ "eval_runtime": 16.6446,
1988
+ "eval_samples_per_second": 2.884,
1989
+ "eval_steps_per_second": 0.601,
1990
+ "step": 12688
1991
+ },
1992
+ {
1993
+ "epoch": 122.11538461538461,
1994
+ "grad_norm": 6.883728504180908,
1995
+ "learning_rate": 1.6488372093023285e-06,
1996
+ "loss": 10.8161,
1997
+ "step": 12700
1998
+ },
1999
+ {
2000
+ "epoch": 123.0,
2001
+ "eval_dummy": 1.0,
2002
+ "eval_loss": 33.61716842651367,
2003
+ "eval_runtime": 17.0639,
2004
+ "eval_samples_per_second": 2.813,
2005
+ "eval_steps_per_second": 0.586,
2006
+ "step": 12792
2007
+ },
2008
+ {
2009
+ "epoch": 123.07692307692308,
2010
+ "grad_norm": 7.218296527862549,
2011
+ "learning_rate": 8.744186046511642e-07,
2012
+ "loss": 10.7195,
2013
+ "step": 12800
2014
+ },
2015
+ {
2016
+ "epoch": 124.0,
2017
+ "eval_dummy": 1.0,
2018
+ "eval_loss": 33.539737701416016,
2019
+ "eval_runtime": 16.3513,
2020
+ "eval_samples_per_second": 2.936,
2021
+ "eval_steps_per_second": 0.612,
2022
+ "step": 12896
2023
+ },
2024
+ {
2025
+ "epoch": 124.03846153846153,
2026
+ "grad_norm": 7.083764553070068,
2027
+ "learning_rate": 9.999999999999998e-08,
2028
+ "loss": 10.6712,
2029
+ "step": 12900
2030
+ },
2031
+ {
2032
+ "epoch": 124.03846153846153,
2033
+ "eval_dummy": 1.0,
2034
+ "eval_loss": 33.490596771240234,
2035
+ "eval_runtime": 17.1907,
2036
+ "eval_samples_per_second": 2.792,
2037
+ "eval_steps_per_second": 0.582,
2038
+ "step": 12900
2039
+ },
2040
+ {
2041
+ "epoch": 124.03846153846153,
2042
+ "step": 12900,
2043
+ "total_flos": 1.8148731642810335e+19,
2044
+ "train_loss": 14.019830729166667,
2045
+ "train_runtime": 31415.0856,
2046
+ "train_samples_per_second": 2.053,
2047
+ "train_steps_per_second": 0.411
2048
+ }
2049
+ ],
2050
+ "logging_steps": 100,
2051
+ "max_steps": 12900,
2052
+ "num_input_tokens_seen": 0,
2053
+ "num_train_epochs": 125,
2054
+ "save_steps": 500,
2055
+ "stateful_callbacks": {
2056
+ "TrainerControl": {
2057
+ "args": {
2058
+ "should_epoch_stop": false,
2059
+ "should_evaluate": false,
2060
+ "should_log": false,
2061
+ "should_save": true,
2062
+ "should_training_stop": true
2063
+ },
2064
+ "attributes": {}
2065
+ }
2066
+ },
2067
+ "total_flos": 1.8148731642810335e+19,
2068
+ "train_batch_size": 5,
2069
+ "trial_name": null,
2070
+ "trial_params": null
2071
+ }