gokulsrinivasagan commited on
Commit
b1b0269
1 Parent(s): caffaf3

End of training

Browse files
README.md CHANGED
@@ -3,9 +3,23 @@ license: mit
3
  base_model: openai-community/gpt2
4
  tags:
5
  - generated_from_trainer
 
 
 
 
6
  model-index:
7
  - name: gpt_train_12_384_new
8
- results: []
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # gpt_train_12_384_new
15
 
16
- This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
 
 
 
17
 
18
  ## Model description
19
 
 
3
  base_model: openai-community/gpt2
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - gokuls/wiki_book_corpus_raw_dataset_tiny
8
+ metrics:
9
+ - accuracy
10
  model-index:
11
  - name: gpt_train_12_384_new
12
+ results:
13
+ - task:
14
+ name: Causal Language Modeling
15
+ type: text-generation
16
+ dataset:
17
+ name: gokuls/wiki_book_corpus_raw_dataset_tiny
18
+ type: gokuls/wiki_book_corpus_raw_dataset_tiny
19
+ metrics:
20
+ - name: Accuracy
21
+ type: accuracy
22
+ value: 0.364555259244386
23
  ---
24
 
25
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
27
 
28
  # gpt_train_12_384_new
29
 
30
+ This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset.
31
+ It achieves the following results on the evaluation set:
32
+ - Loss: 3.7116
33
+ - Accuracy: 0.3646
34
 
35
  ## Model description
36
 
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.7809745229100065,
3
+ "eval_accuracy": 0.364555259244386,
4
+ "eval_loss": 3.7116007804870605,
5
+ "eval_runtime": 273.6863,
6
+ "eval_samples": 33767,
7
+ "eval_samples_per_second": 123.378,
8
+ "eval_steps_per_second": 3.858,
9
+ "perplexity": 40.919256875144555,
10
+ "total_flos": 5.861064073050849e+17,
11
+ "train_loss": 4.399306026785714,
12
+ "train_runtime": 93598.1238,
13
+ "train_samples": 660643,
14
+ "train_samples_per_second": 705.829,
15
+ "train_steps_per_second": 22.058
16
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.7809745229100065,
3
+ "eval_accuracy": 0.364555259244386,
4
+ "eval_loss": 3.7116007804870605,
5
+ "eval_runtime": 273.6863,
6
+ "eval_samples": 33767,
7
+ "eval_samples_per_second": 123.378,
8
+ "eval_steps_per_second": 3.858,
9
+ "perplexity": 40.919256875144555
10
+ }
logs/events.out.tfevents.1720019630.s_003_m.242741.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d2df5f8332f6cf191e60dfe4c970c6d30af2573c75671af57c6b66b586178e5
3
+ size 369
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.7809745229100065,
3
+ "total_flos": 5.861064073050849e+17,
4
+ "train_loss": 4.399306026785714,
5
+ "train_runtime": 93598.1238,
6
+ "train_samples": 660643,
7
+ "train_samples_per_second": 705.829,
8
+ "train_steps_per_second": 22.058
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2002 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.7809745229100065,
5
+ "eval_steps": 1000000,
6
+ "global_step": 140000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.024217766153250025,
13
+ "grad_norm": 1.516142725944519,
14
+ "learning_rate": 9.997578223384676e-06,
15
+ "loss": 9.1668,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.04843553230650005,
20
+ "grad_norm": 1.0418092012405396,
21
+ "learning_rate": 9.995156446769351e-06,
22
+ "loss": 7.7891,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.07265329845975008,
27
+ "grad_norm": 0.9371763467788696,
28
+ "learning_rate": 9.992734670154026e-06,
29
+ "loss": 7.1939,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.0968710646130001,
34
+ "grad_norm": 1.1670751571655273,
35
+ "learning_rate": 9.990312893538701e-06,
36
+ "loss": 6.9189,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.12108883076625013,
41
+ "grad_norm": 1.3695101737976074,
42
+ "learning_rate": 9.987891116923376e-06,
43
+ "loss": 6.7278,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.14530659691950015,
48
+ "grad_norm": 1.796486735343933,
49
+ "learning_rate": 9.985469340308051e-06,
50
+ "loss": 6.5867,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.16952436307275018,
55
+ "grad_norm": 1.509717583656311,
56
+ "learning_rate": 9.983047563692726e-06,
57
+ "loss": 6.4508,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.1937421292260002,
62
+ "grad_norm": 1.8329906463623047,
63
+ "learning_rate": 9.9806257870774e-06,
64
+ "loss": 6.3551,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.21795989537925023,
69
+ "grad_norm": 1.5139986276626587,
70
+ "learning_rate": 9.978204010462076e-06,
71
+ "loss": 6.2743,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.24217766153250025,
76
+ "grad_norm": 2.2407052516937256,
77
+ "learning_rate": 9.97578223384675e-06,
78
+ "loss": 6.2001,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.26639542768575025,
83
+ "grad_norm": 2.087357521057129,
84
+ "learning_rate": 9.973360457231426e-06,
85
+ "loss": 6.1334,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.2906131938390003,
90
+ "grad_norm": 2.0182762145996094,
91
+ "learning_rate": 9.970938680616102e-06,
92
+ "loss": 6.0656,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.3148309599922503,
97
+ "grad_norm": 1.9544531106948853,
98
+ "learning_rate": 9.968516904000775e-06,
99
+ "loss": 6.0134,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.33904872614550036,
104
+ "grad_norm": 2.3156166076660156,
105
+ "learning_rate": 9.966095127385452e-06,
106
+ "loss": 5.9546,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.36326649229875035,
111
+ "grad_norm": 2.5564098358154297,
112
+ "learning_rate": 9.963673350770125e-06,
113
+ "loss": 5.9063,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.3874842584520004,
118
+ "grad_norm": 2.191112518310547,
119
+ "learning_rate": 9.961251574154802e-06,
120
+ "loss": 5.8564,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 0.4117020246052504,
125
+ "grad_norm": 2.1813371181488037,
126
+ "learning_rate": 9.958829797539475e-06,
127
+ "loss": 5.8053,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 0.43591979075850046,
132
+ "grad_norm": 1.9756942987442017,
133
+ "learning_rate": 9.95640802092415e-06,
134
+ "loss": 5.7669,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 0.46013755691175046,
139
+ "grad_norm": 2.2932822704315186,
140
+ "learning_rate": 9.953986244308825e-06,
141
+ "loss": 5.7218,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 0.4843553230650005,
146
+ "grad_norm": 2.218536376953125,
147
+ "learning_rate": 9.9515644676935e-06,
148
+ "loss": 5.6818,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 0.5085730892182505,
153
+ "grad_norm": 2.3896877765655518,
154
+ "learning_rate": 9.949142691078175e-06,
155
+ "loss": 5.6481,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 0.5327908553715005,
160
+ "grad_norm": 2.5433712005615234,
161
+ "learning_rate": 9.94672091446285e-06,
162
+ "loss": 5.6124,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 0.5570086215247505,
167
+ "grad_norm": 2.5442490577697754,
168
+ "learning_rate": 9.944299137847525e-06,
169
+ "loss": 5.5728,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 0.5812263876780006,
174
+ "grad_norm": 2.327425241470337,
175
+ "learning_rate": 9.9418773612322e-06,
176
+ "loss": 5.5406,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 0.6054441538312506,
181
+ "grad_norm": 2.290090799331665,
182
+ "learning_rate": 9.939455584616876e-06,
183
+ "loss": 5.5121,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 0.6296619199845006,
188
+ "grad_norm": 3.161325216293335,
189
+ "learning_rate": 9.93703380800155e-06,
190
+ "loss": 5.4739,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 0.6538796861377506,
195
+ "grad_norm": 2.6134533882141113,
196
+ "learning_rate": 9.934612031386226e-06,
197
+ "loss": 5.4384,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 0.6780974522910007,
202
+ "grad_norm": 2.674760580062866,
203
+ "learning_rate": 9.9321902547709e-06,
204
+ "loss": 5.413,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 0.7023152184442507,
209
+ "grad_norm": 2.431614398956299,
210
+ "learning_rate": 9.929768478155576e-06,
211
+ "loss": 5.3903,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 0.7265329845975007,
216
+ "grad_norm": 2.4028687477111816,
217
+ "learning_rate": 9.927346701540251e-06,
218
+ "loss": 5.3637,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 0.7507507507507507,
223
+ "grad_norm": 2.4807944297790527,
224
+ "learning_rate": 9.924924924924926e-06,
225
+ "loss": 5.3279,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 0.7749685169040008,
230
+ "grad_norm": 2.9065611362457275,
231
+ "learning_rate": 9.922503148309601e-06,
232
+ "loss": 5.3098,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 0.7991862830572508,
237
+ "grad_norm": 2.359736204147339,
238
+ "learning_rate": 9.920081371694276e-06,
239
+ "loss": 5.2858,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 0.8234040492105008,
244
+ "grad_norm": 2.642854690551758,
245
+ "learning_rate": 9.917659595078951e-06,
246
+ "loss": 5.2518,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 0.8476218153637508,
251
+ "grad_norm": 3.2326414585113525,
252
+ "learning_rate": 9.915237818463626e-06,
253
+ "loss": 5.2354,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 0.8718395815170009,
258
+ "grad_norm": 2.285203218460083,
259
+ "learning_rate": 9.912816041848301e-06,
260
+ "loss": 5.2117,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 0.8960573476702509,
265
+ "grad_norm": 2.551164388656616,
266
+ "learning_rate": 9.910394265232976e-06,
267
+ "loss": 5.1941,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 0.9202751138235009,
272
+ "grad_norm": 2.678759813308716,
273
+ "learning_rate": 9.907972488617651e-06,
274
+ "loss": 5.1706,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 0.9444928799767509,
279
+ "grad_norm": 2.6895062923431396,
280
+ "learning_rate": 9.905550712002325e-06,
281
+ "loss": 5.1499,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 0.968710646130001,
286
+ "grad_norm": 2.554659128189087,
287
+ "learning_rate": 9.903128935387001e-06,
288
+ "loss": 5.1276,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 0.992928412283251,
293
+ "grad_norm": 2.785282850265503,
294
+ "learning_rate": 9.900707158771675e-06,
295
+ "loss": 5.1079,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 1.017146178436501,
300
+ "grad_norm": 2.7283270359039307,
301
+ "learning_rate": 9.89828538215635e-06,
302
+ "loss": 5.0726,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 1.0413639445897511,
307
+ "grad_norm": 2.654245615005493,
308
+ "learning_rate": 9.895863605541027e-06,
309
+ "loss": 5.0654,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 1.065581710743001,
314
+ "grad_norm": 2.563713550567627,
315
+ "learning_rate": 9.8934418289257e-06,
316
+ "loss": 5.0436,
317
+ "step": 22000
318
+ },
319
+ {
320
+ "epoch": 1.0897994768962511,
321
+ "grad_norm": 2.6896631717681885,
322
+ "learning_rate": 9.891020052310377e-06,
323
+ "loss": 5.0161,
324
+ "step": 22500
325
+ },
326
+ {
327
+ "epoch": 1.114017243049501,
328
+ "grad_norm": 2.8477983474731445,
329
+ "learning_rate": 9.88859827569505e-06,
330
+ "loss": 5.008,
331
+ "step": 23000
332
+ },
333
+ {
334
+ "epoch": 1.1382350092027511,
335
+ "grad_norm": 2.6253600120544434,
336
+ "learning_rate": 9.886176499079725e-06,
337
+ "loss": 4.987,
338
+ "step": 23500
339
+ },
340
+ {
341
+ "epoch": 1.1624527753560012,
342
+ "grad_norm": 2.7618229389190674,
343
+ "learning_rate": 9.8837547224644e-06,
344
+ "loss": 4.9655,
345
+ "step": 24000
346
+ },
347
+ {
348
+ "epoch": 1.186670541509251,
349
+ "grad_norm": 2.7631571292877197,
350
+ "learning_rate": 9.881332945849075e-06,
351
+ "loss": 4.9426,
352
+ "step": 24500
353
+ },
354
+ {
355
+ "epoch": 1.2108883076625012,
356
+ "grad_norm": 3.108574390411377,
357
+ "learning_rate": 9.87891116923375e-06,
358
+ "loss": 4.9264,
359
+ "step": 25000
360
+ },
361
+ {
362
+ "epoch": 1.2351060738157513,
363
+ "grad_norm": 2.5930752754211426,
364
+ "learning_rate": 9.876489392618425e-06,
365
+ "loss": 4.9068,
366
+ "step": 25500
367
+ },
368
+ {
369
+ "epoch": 1.2593238399690012,
370
+ "grad_norm": 2.4590559005737305,
371
+ "learning_rate": 9.8740676160031e-06,
372
+ "loss": 4.8908,
373
+ "step": 26000
374
+ },
375
+ {
376
+ "epoch": 1.2835416061222513,
377
+ "grad_norm": 2.7004990577697754,
378
+ "learning_rate": 9.871645839387776e-06,
379
+ "loss": 4.8767,
380
+ "step": 26500
381
+ },
382
+ {
383
+ "epoch": 1.3077593722755014,
384
+ "grad_norm": 2.5023412704467773,
385
+ "learning_rate": 9.86922406277245e-06,
386
+ "loss": 4.8543,
387
+ "step": 27000
388
+ },
389
+ {
390
+ "epoch": 1.3319771384287513,
391
+ "grad_norm": 3.338123083114624,
392
+ "learning_rate": 9.866802286157126e-06,
393
+ "loss": 4.8324,
394
+ "step": 27500
395
+ },
396
+ {
397
+ "epoch": 1.3561949045820014,
398
+ "grad_norm": 2.871856689453125,
399
+ "learning_rate": 9.8643805095418e-06,
400
+ "loss": 4.8138,
401
+ "step": 28000
402
+ },
403
+ {
404
+ "epoch": 1.3804126707352513,
405
+ "grad_norm": 3.148714303970337,
406
+ "learning_rate": 9.861958732926476e-06,
407
+ "loss": 4.7991,
408
+ "step": 28500
409
+ },
410
+ {
411
+ "epoch": 1.4046304368885014,
412
+ "grad_norm": 2.986448287963867,
413
+ "learning_rate": 9.85953695631115e-06,
414
+ "loss": 4.781,
415
+ "step": 29000
416
+ },
417
+ {
418
+ "epoch": 1.4288482030417513,
419
+ "grad_norm": 2.5939040184020996,
420
+ "learning_rate": 9.857115179695826e-06,
421
+ "loss": 4.7634,
422
+ "step": 29500
423
+ },
424
+ {
425
+ "epoch": 1.4530659691950014,
426
+ "grad_norm": 2.674027442932129,
427
+ "learning_rate": 9.854693403080501e-06,
428
+ "loss": 4.7446,
429
+ "step": 30000
430
+ },
431
+ {
432
+ "epoch": 1.4772837353482515,
433
+ "grad_norm": 3.018937826156616,
434
+ "learning_rate": 9.852271626465176e-06,
435
+ "loss": 4.7332,
436
+ "step": 30500
437
+ },
438
+ {
439
+ "epoch": 1.5015015015015014,
440
+ "grad_norm": 2.862410306930542,
441
+ "learning_rate": 9.849849849849851e-06,
442
+ "loss": 4.7151,
443
+ "step": 31000
444
+ },
445
+ {
446
+ "epoch": 1.5257192676547515,
447
+ "grad_norm": 2.9605488777160645,
448
+ "learning_rate": 9.847428073234524e-06,
449
+ "loss": 4.7023,
450
+ "step": 31500
451
+ },
452
+ {
453
+ "epoch": 1.5499370338080016,
454
+ "grad_norm": 3.116225242614746,
455
+ "learning_rate": 9.845006296619201e-06,
456
+ "loss": 4.6834,
457
+ "step": 32000
458
+ },
459
+ {
460
+ "epoch": 1.5741547999612515,
461
+ "grad_norm": 3.074164390563965,
462
+ "learning_rate": 9.842584520003876e-06,
463
+ "loss": 4.6676,
464
+ "step": 32500
465
+ },
466
+ {
467
+ "epoch": 1.5983725661145016,
468
+ "grad_norm": 2.677706003189087,
469
+ "learning_rate": 9.840162743388551e-06,
470
+ "loss": 4.6547,
471
+ "step": 33000
472
+ },
473
+ {
474
+ "epoch": 1.6225903322677517,
475
+ "grad_norm": 2.832223653793335,
476
+ "learning_rate": 9.837740966773226e-06,
477
+ "loss": 4.6402,
478
+ "step": 33500
479
+ },
480
+ {
481
+ "epoch": 1.6468080984210016,
482
+ "grad_norm": 3.1041297912597656,
483
+ "learning_rate": 9.8353191901579e-06,
484
+ "loss": 4.6271,
485
+ "step": 34000
486
+ },
487
+ {
488
+ "epoch": 1.6710258645742515,
489
+ "grad_norm": 2.883216381072998,
490
+ "learning_rate": 9.832897413542576e-06,
491
+ "loss": 4.6141,
492
+ "step": 34500
493
+ },
494
+ {
495
+ "epoch": 1.6952436307275018,
496
+ "grad_norm": 2.894000291824341,
497
+ "learning_rate": 9.83047563692725e-06,
498
+ "loss": 4.6031,
499
+ "step": 35000
500
+ },
501
+ {
502
+ "epoch": 1.7194613968807517,
503
+ "grad_norm": 2.9335453510284424,
504
+ "learning_rate": 9.828053860311927e-06,
505
+ "loss": 4.5911,
506
+ "step": 35500
507
+ },
508
+ {
509
+ "epoch": 1.7436791630340016,
510
+ "grad_norm": 2.7511613368988037,
511
+ "learning_rate": 9.8256320836966e-06,
512
+ "loss": 4.5824,
513
+ "step": 36000
514
+ },
515
+ {
516
+ "epoch": 1.7678969291872517,
517
+ "grad_norm": 2.8148419857025146,
518
+ "learning_rate": 9.823210307081275e-06,
519
+ "loss": 4.5693,
520
+ "step": 36500
521
+ },
522
+ {
523
+ "epoch": 1.7921146953405018,
524
+ "grad_norm": 2.8832480907440186,
525
+ "learning_rate": 9.820788530465952e-06,
526
+ "loss": 4.5622,
527
+ "step": 37000
528
+ },
529
+ {
530
+ "epoch": 1.8163324614937517,
531
+ "grad_norm": 2.9674079418182373,
532
+ "learning_rate": 9.818366753850625e-06,
533
+ "loss": 4.5473,
534
+ "step": 37500
535
+ },
536
+ {
537
+ "epoch": 1.8405502276470018,
538
+ "grad_norm": 2.971090793609619,
539
+ "learning_rate": 9.815944977235302e-06,
540
+ "loss": 4.538,
541
+ "step": 38000
542
+ },
543
+ {
544
+ "epoch": 1.864767993800252,
545
+ "grad_norm": 2.785881996154785,
546
+ "learning_rate": 9.813523200619975e-06,
547
+ "loss": 4.5327,
548
+ "step": 38500
549
+ },
550
+ {
551
+ "epoch": 1.8889857599535018,
552
+ "grad_norm": 2.9853248596191406,
553
+ "learning_rate": 9.81110142400465e-06,
554
+ "loss": 4.5078,
555
+ "step": 39000
556
+ },
557
+ {
558
+ "epoch": 1.913203526106752,
559
+ "grad_norm": 2.899179697036743,
560
+ "learning_rate": 9.808679647389325e-06,
561
+ "loss": 4.5002,
562
+ "step": 39500
563
+ },
564
+ {
565
+ "epoch": 1.937421292260002,
566
+ "grad_norm": 2.5843992233276367,
567
+ "learning_rate": 9.806257870774e-06,
568
+ "loss": 4.4928,
569
+ "step": 40000
570
+ },
571
+ {
572
+ "epoch": 1.961639058413252,
573
+ "grad_norm": 2.8425755500793457,
574
+ "learning_rate": 9.803836094158675e-06,
575
+ "loss": 4.4881,
576
+ "step": 40500
577
+ },
578
+ {
579
+ "epoch": 1.985856824566502,
580
+ "grad_norm": 2.87211275100708,
581
+ "learning_rate": 9.80141431754335e-06,
582
+ "loss": 4.4822,
583
+ "step": 41000
584
+ },
585
+ {
586
+ "epoch": 2.010074590719752,
587
+ "grad_norm": 3.0297703742980957,
588
+ "learning_rate": 9.798992540928026e-06,
589
+ "loss": 4.4619,
590
+ "step": 41500
591
+ },
592
+ {
593
+ "epoch": 2.034292356873002,
594
+ "grad_norm": 2.9869863986968994,
595
+ "learning_rate": 9.7965707643127e-06,
596
+ "loss": 4.4526,
597
+ "step": 42000
598
+ },
599
+ {
600
+ "epoch": 2.058510123026252,
601
+ "grad_norm": 2.777209520339966,
602
+ "learning_rate": 9.794148987697376e-06,
603
+ "loss": 4.432,
604
+ "step": 42500
605
+ },
606
+ {
607
+ "epoch": 2.0827278891795022,
608
+ "grad_norm": 3.0258235931396484,
609
+ "learning_rate": 9.79172721108205e-06,
610
+ "loss": 4.4386,
611
+ "step": 43000
612
+ },
613
+ {
614
+ "epoch": 2.106945655332752,
615
+ "grad_norm": 2.8184220790863037,
616
+ "learning_rate": 9.789305434466726e-06,
617
+ "loss": 4.4254,
618
+ "step": 43500
619
+ },
620
+ {
621
+ "epoch": 2.131163421486002,
622
+ "grad_norm": 2.9428908824920654,
623
+ "learning_rate": 9.7868836578514e-06,
624
+ "loss": 4.4172,
625
+ "step": 44000
626
+ },
627
+ {
628
+ "epoch": 2.1553811876392523,
629
+ "grad_norm": 3.1215102672576904,
630
+ "learning_rate": 9.784461881236076e-06,
631
+ "loss": 4.4078,
632
+ "step": 44500
633
+ },
634
+ {
635
+ "epoch": 2.1795989537925022,
636
+ "grad_norm": 3.032611846923828,
637
+ "learning_rate": 9.782040104620751e-06,
638
+ "loss": 4.4036,
639
+ "step": 45000
640
+ },
641
+ {
642
+ "epoch": 2.203816719945752,
643
+ "grad_norm": 2.9431488513946533,
644
+ "learning_rate": 9.779618328005426e-06,
645
+ "loss": 4.3997,
646
+ "step": 45500
647
+ },
648
+ {
649
+ "epoch": 2.228034486099002,
650
+ "grad_norm": 2.9058682918548584,
651
+ "learning_rate": 9.7771965513901e-06,
652
+ "loss": 4.389,
653
+ "step": 46000
654
+ },
655
+ {
656
+ "epoch": 2.2522522522522523,
657
+ "grad_norm": 2.703967809677124,
658
+ "learning_rate": 9.774774774774776e-06,
659
+ "loss": 4.3753,
660
+ "step": 46500
661
+ },
662
+ {
663
+ "epoch": 2.2764700184055022,
664
+ "grad_norm": 2.764721155166626,
665
+ "learning_rate": 9.77235299815945e-06,
666
+ "loss": 4.3658,
667
+ "step": 47000
668
+ },
669
+ {
670
+ "epoch": 2.300687784558752,
671
+ "grad_norm": 2.834578514099121,
672
+ "learning_rate": 9.769931221544126e-06,
673
+ "loss": 4.3577,
674
+ "step": 47500
675
+ },
676
+ {
677
+ "epoch": 2.3249055507120024,
678
+ "grad_norm": 2.9823198318481445,
679
+ "learning_rate": 9.767509444928801e-06,
680
+ "loss": 4.3531,
681
+ "step": 48000
682
+ },
683
+ {
684
+ "epoch": 2.3491233168652523,
685
+ "grad_norm": 2.8373069763183594,
686
+ "learning_rate": 9.765087668313475e-06,
687
+ "loss": 4.3515,
688
+ "step": 48500
689
+ },
690
+ {
691
+ "epoch": 2.373341083018502,
692
+ "grad_norm": 2.6971516609191895,
693
+ "learning_rate": 9.762665891698151e-06,
694
+ "loss": 4.3367,
695
+ "step": 49000
696
+ },
697
+ {
698
+ "epoch": 2.3975588491717525,
699
+ "grad_norm": 2.8022115230560303,
700
+ "learning_rate": 9.760244115082825e-06,
701
+ "loss": 4.3302,
702
+ "step": 49500
703
+ },
704
+ {
705
+ "epoch": 2.4217766153250024,
706
+ "grad_norm": 2.9047532081604004,
707
+ "learning_rate": 9.757822338467502e-06,
708
+ "loss": 4.3202,
709
+ "step": 50000
710
+ },
711
+ {
712
+ "epoch": 2.4459943814782523,
713
+ "grad_norm": 2.81803297996521,
714
+ "learning_rate": 9.755400561852175e-06,
715
+ "loss": 4.3184,
716
+ "step": 50500
717
+ },
718
+ {
719
+ "epoch": 2.4702121476315027,
720
+ "grad_norm": 2.9668848514556885,
721
+ "learning_rate": 9.75297878523685e-06,
722
+ "loss": 4.3093,
723
+ "step": 51000
724
+ },
725
+ {
726
+ "epoch": 2.4944299137847525,
727
+ "grad_norm": 3.0008721351623535,
728
+ "learning_rate": 9.750557008621525e-06,
729
+ "loss": 4.3089,
730
+ "step": 51500
731
+ },
732
+ {
733
+ "epoch": 2.5186476799380024,
734
+ "grad_norm": 2.76766300201416,
735
+ "learning_rate": 9.7481352320062e-06,
736
+ "loss": 4.2961,
737
+ "step": 52000
738
+ },
739
+ {
740
+ "epoch": 2.5428654460912528,
741
+ "grad_norm": 2.961453914642334,
742
+ "learning_rate": 9.745713455390875e-06,
743
+ "loss": 4.284,
744
+ "step": 52500
745
+ },
746
+ {
747
+ "epoch": 2.5670832122445026,
748
+ "grad_norm": 3.030158758163452,
749
+ "learning_rate": 9.74329167877555e-06,
750
+ "loss": 4.2849,
751
+ "step": 53000
752
+ },
753
+ {
754
+ "epoch": 2.5913009783977525,
755
+ "grad_norm": 2.9656057357788086,
756
+ "learning_rate": 9.740869902160225e-06,
757
+ "loss": 4.2712,
758
+ "step": 53500
759
+ },
760
+ {
761
+ "epoch": 2.615518744551003,
762
+ "grad_norm": 3.3482959270477295,
763
+ "learning_rate": 9.7384481255449e-06,
764
+ "loss": 4.2833,
765
+ "step": 54000
766
+ },
767
+ {
768
+ "epoch": 2.6397365107042527,
769
+ "grad_norm": 2.8142096996307373,
770
+ "learning_rate": 9.736026348929575e-06,
771
+ "loss": 4.2652,
772
+ "step": 54500
773
+ },
774
+ {
775
+ "epoch": 2.6639542768575026,
776
+ "grad_norm": 2.776679277420044,
777
+ "learning_rate": 9.73360457231425e-06,
778
+ "loss": 4.2653,
779
+ "step": 55000
780
+ },
781
+ {
782
+ "epoch": 2.688172043010753,
783
+ "grad_norm": 2.7612788677215576,
784
+ "learning_rate": 9.731182795698925e-06,
785
+ "loss": 4.2562,
786
+ "step": 55500
787
+ },
788
+ {
789
+ "epoch": 2.712389809164003,
790
+ "grad_norm": 2.959991931915283,
791
+ "learning_rate": 9.7287610190836e-06,
792
+ "loss": 4.2515,
793
+ "step": 56000
794
+ },
795
+ {
796
+ "epoch": 2.7366075753172527,
797
+ "grad_norm": 2.969061851501465,
798
+ "learning_rate": 9.726339242468276e-06,
799
+ "loss": 4.2378,
800
+ "step": 56500
801
+ },
802
+ {
803
+ "epoch": 2.7608253414705026,
804
+ "grad_norm": 3.1710784435272217,
805
+ "learning_rate": 9.72391746585295e-06,
806
+ "loss": 4.2408,
807
+ "step": 57000
808
+ },
809
+ {
810
+ "epoch": 2.7850431076237525,
811
+ "grad_norm": 2.9343762397766113,
812
+ "learning_rate": 9.721495689237626e-06,
813
+ "loss": 4.2316,
814
+ "step": 57500
815
+ },
816
+ {
817
+ "epoch": 2.809260873777003,
818
+ "grad_norm": 2.98744535446167,
819
+ "learning_rate": 9.7190739126223e-06,
820
+ "loss": 4.2302,
821
+ "step": 58000
822
+ },
823
+ {
824
+ "epoch": 2.8334786399302527,
825
+ "grad_norm": 2.8376593589782715,
826
+ "learning_rate": 9.716652136006976e-06,
827
+ "loss": 4.2229,
828
+ "step": 58500
829
+ },
830
+ {
831
+ "epoch": 2.8576964060835026,
832
+ "grad_norm": 2.7830283641815186,
833
+ "learning_rate": 9.714230359391651e-06,
834
+ "loss": 4.2138,
835
+ "step": 59000
836
+ },
837
+ {
838
+ "epoch": 2.881914172236753,
839
+ "grad_norm": 2.824352741241455,
840
+ "learning_rate": 9.711808582776326e-06,
841
+ "loss": 4.2039,
842
+ "step": 59500
843
+ },
844
+ {
845
+ "epoch": 2.906131938390003,
846
+ "grad_norm": 2.8537116050720215,
847
+ "learning_rate": 9.709386806161001e-06,
848
+ "loss": 4.2063,
849
+ "step": 60000
850
+ },
851
+ {
852
+ "epoch": 2.9303497045432527,
853
+ "grad_norm": 3.004157543182373,
854
+ "learning_rate": 9.706965029545674e-06,
855
+ "loss": 4.1983,
856
+ "step": 60500
857
+ },
858
+ {
859
+ "epoch": 2.954567470696503,
860
+ "grad_norm": 2.8163509368896484,
861
+ "learning_rate": 9.704543252930351e-06,
862
+ "loss": 4.1938,
863
+ "step": 61000
864
+ },
865
+ {
866
+ "epoch": 2.978785236849753,
867
+ "grad_norm": 2.8276596069335938,
868
+ "learning_rate": 9.702121476315024e-06,
869
+ "loss": 4.1915,
870
+ "step": 61500
871
+ },
872
+ {
873
+ "epoch": 3.003003003003003,
874
+ "grad_norm": 2.7849977016448975,
875
+ "learning_rate": 9.699699699699701e-06,
876
+ "loss": 4.1942,
877
+ "step": 62000
878
+ },
879
+ {
880
+ "epoch": 3.027220769156253,
881
+ "grad_norm": 2.782846212387085,
882
+ "learning_rate": 9.697277923084375e-06,
883
+ "loss": 4.1741,
884
+ "step": 62500
885
+ },
886
+ {
887
+ "epoch": 3.051438535309503,
888
+ "grad_norm": 2.906552314758301,
889
+ "learning_rate": 9.69485614646905e-06,
890
+ "loss": 4.1767,
891
+ "step": 63000
892
+ },
893
+ {
894
+ "epoch": 3.075656301462753,
895
+ "grad_norm": 3.0256595611572266,
896
+ "learning_rate": 9.692434369853726e-06,
897
+ "loss": 4.1665,
898
+ "step": 63500
899
+ },
900
+ {
901
+ "epoch": 3.0998740676160033,
902
+ "grad_norm": 2.847698450088501,
903
+ "learning_rate": 9.6900125932384e-06,
904
+ "loss": 4.1642,
905
+ "step": 64000
906
+ },
907
+ {
908
+ "epoch": 3.124091833769253,
909
+ "grad_norm": 2.8021674156188965,
910
+ "learning_rate": 9.687590816623077e-06,
911
+ "loss": 4.1663,
912
+ "step": 64500
913
+ },
914
+ {
915
+ "epoch": 3.148309599922503,
916
+ "grad_norm": 2.784911632537842,
917
+ "learning_rate": 9.68516904000775e-06,
918
+ "loss": 4.1546,
919
+ "step": 65000
920
+ },
921
+ {
922
+ "epoch": 3.1725273660757534,
923
+ "grad_norm": 3.019435167312622,
924
+ "learning_rate": 9.682747263392425e-06,
925
+ "loss": 4.1443,
926
+ "step": 65500
927
+ },
928
+ {
929
+ "epoch": 3.1967451322290033,
930
+ "grad_norm": 2.60965895652771,
931
+ "learning_rate": 9.6803254867771e-06,
932
+ "loss": 4.1465,
933
+ "step": 66000
934
+ },
935
+ {
936
+ "epoch": 3.220962898382253,
937
+ "grad_norm": 2.740164041519165,
938
+ "learning_rate": 9.677903710161775e-06,
939
+ "loss": 4.1345,
940
+ "step": 66500
941
+ },
942
+ {
943
+ "epoch": 3.2451806645355035,
944
+ "grad_norm": 2.862274646759033,
945
+ "learning_rate": 9.67548193354645e-06,
946
+ "loss": 4.1461,
947
+ "step": 67000
948
+ },
949
+ {
950
+ "epoch": 3.2693984306887534,
951
+ "grad_norm": 2.8547213077545166,
952
+ "learning_rate": 9.673060156931125e-06,
953
+ "loss": 4.137,
954
+ "step": 67500
955
+ },
956
+ {
957
+ "epoch": 3.2936161968420032,
958
+ "grad_norm": 3.0033137798309326,
959
+ "learning_rate": 9.6706383803158e-06,
960
+ "loss": 4.1253,
961
+ "step": 68000
962
+ },
963
+ {
964
+ "epoch": 3.317833962995253,
965
+ "grad_norm": 2.795989513397217,
966
+ "learning_rate": 9.668216603700475e-06,
967
+ "loss": 4.1232,
968
+ "step": 68500
969
+ },
970
+ {
971
+ "epoch": 3.3420517291485035,
972
+ "grad_norm": 2.8020830154418945,
973
+ "learning_rate": 9.66579482708515e-06,
974
+ "loss": 4.1238,
975
+ "step": 69000
976
+ },
977
+ {
978
+ "epoch": 3.3662694953017533,
979
+ "grad_norm": 2.808565855026245,
980
+ "learning_rate": 9.663373050469825e-06,
981
+ "loss": 4.1155,
982
+ "step": 69500
983
+ },
984
+ {
985
+ "epoch": 3.3904872614550032,
986
+ "grad_norm": 2.7904319763183594,
987
+ "learning_rate": 9.6609512738545e-06,
988
+ "loss": 4.1143,
989
+ "step": 70000
990
+ },
991
+ {
992
+ "epoch": 3.4147050276082536,
993
+ "grad_norm": 2.7850215435028076,
994
+ "learning_rate": 9.658529497239176e-06,
995
+ "loss": 4.1102,
996
+ "step": 70500
997
+ },
998
+ {
999
+ "epoch": 3.4389227937615034,
1000
+ "grad_norm": 2.6868176460266113,
1001
+ "learning_rate": 9.65610772062385e-06,
1002
+ "loss": 4.0994,
1003
+ "step": 71000
1004
+ },
1005
+ {
1006
+ "epoch": 3.4631405599147533,
1007
+ "grad_norm": 2.862273931503296,
1008
+ "learning_rate": 9.653685944008526e-06,
1009
+ "loss": 4.1054,
1010
+ "step": 71500
1011
+ },
1012
+ {
1013
+ "epoch": 3.4873583260680037,
1014
+ "grad_norm": 3.01948881149292,
1015
+ "learning_rate": 9.6512641673932e-06,
1016
+ "loss": 4.0975,
1017
+ "step": 72000
1018
+ },
1019
+ {
1020
+ "epoch": 3.5115760922212536,
1021
+ "grad_norm": 2.945227861404419,
1022
+ "learning_rate": 9.648842390777876e-06,
1023
+ "loss": 4.0941,
1024
+ "step": 72500
1025
+ },
1026
+ {
1027
+ "epoch": 3.5357938583745034,
1028
+ "grad_norm": 3.265650987625122,
1029
+ "learning_rate": 9.64642061416255e-06,
1030
+ "loss": 4.0854,
1031
+ "step": 73000
1032
+ },
1033
+ {
1034
+ "epoch": 3.5600116245277533,
1035
+ "grad_norm": 2.839852809906006,
1036
+ "learning_rate": 9.643998837547224e-06,
1037
+ "loss": 4.0889,
1038
+ "step": 73500
1039
+ },
1040
+ {
1041
+ "epoch": 3.5842293906810037,
1042
+ "grad_norm": 3.0958175659179688,
1043
+ "learning_rate": 9.641577060931901e-06,
1044
+ "loss": 4.0793,
1045
+ "step": 74000
1046
+ },
1047
+ {
1048
+ "epoch": 3.6084471568342535,
1049
+ "grad_norm": 2.957026481628418,
1050
+ "learning_rate": 9.639155284316576e-06,
1051
+ "loss": 4.0764,
1052
+ "step": 74500
1053
+ },
1054
+ {
1055
+ "epoch": 3.6326649229875034,
1056
+ "grad_norm": 3.0738115310668945,
1057
+ "learning_rate": 9.636733507701251e-06,
1058
+ "loss": 4.0742,
1059
+ "step": 75000
1060
+ },
1061
+ {
1062
+ "epoch": 3.6568826891407538,
1063
+ "grad_norm": 2.877403736114502,
1064
+ "learning_rate": 9.634311731085926e-06,
1065
+ "loss": 4.0744,
1066
+ "step": 75500
1067
+ },
1068
+ {
1069
+ "epoch": 3.6811004552940036,
1070
+ "grad_norm": 3.0667495727539062,
1071
+ "learning_rate": 9.6318899544706e-06,
1072
+ "loss": 4.0715,
1073
+ "step": 76000
1074
+ },
1075
+ {
1076
+ "epoch": 3.7053182214472535,
1077
+ "grad_norm": 2.8147807121276855,
1078
+ "learning_rate": 9.629468177855276e-06,
1079
+ "loss": 4.0666,
1080
+ "step": 76500
1081
+ },
1082
+ {
1083
+ "epoch": 3.729535987600504,
1084
+ "grad_norm": 2.8717801570892334,
1085
+ "learning_rate": 9.62704640123995e-06,
1086
+ "loss": 4.064,
1087
+ "step": 77000
1088
+ },
1089
+ {
1090
+ "epoch": 3.7537537537537538,
1091
+ "grad_norm": 2.7591042518615723,
1092
+ "learning_rate": 9.624624624624626e-06,
1093
+ "loss": 4.0557,
1094
+ "step": 77500
1095
+ },
1096
+ {
1097
+ "epoch": 3.7779715199070036,
1098
+ "grad_norm": 2.843806743621826,
1099
+ "learning_rate": 9.6222028480093e-06,
1100
+ "loss": 4.0579,
1101
+ "step": 78000
1102
+ },
1103
+ {
1104
+ "epoch": 3.802189286060254,
1105
+ "grad_norm": 2.869080066680908,
1106
+ "learning_rate": 9.619781071393975e-06,
1107
+ "loss": 4.0537,
1108
+ "step": 78500
1109
+ },
1110
+ {
1111
+ "epoch": 3.826407052213504,
1112
+ "grad_norm": 2.792863607406616,
1113
+ "learning_rate": 9.617359294778652e-06,
1114
+ "loss": 4.0484,
1115
+ "step": 79000
1116
+ },
1117
+ {
1118
+ "epoch": 3.8506248183667537,
1119
+ "grad_norm": 2.991138458251953,
1120
+ "learning_rate": 9.614937518163325e-06,
1121
+ "loss": 4.039,
1122
+ "step": 79500
1123
+ },
1124
+ {
1125
+ "epoch": 3.874842584520004,
1126
+ "grad_norm": 2.7616770267486572,
1127
+ "learning_rate": 9.612515741548002e-06,
1128
+ "loss": 4.0438,
1129
+ "step": 80000
1130
+ },
1131
+ {
1132
+ "epoch": 3.899060350673254,
1133
+ "grad_norm": 2.718642234802246,
1134
+ "learning_rate": 9.610093964932675e-06,
1135
+ "loss": 4.0333,
1136
+ "step": 80500
1137
+ },
1138
+ {
1139
+ "epoch": 3.923278116826504,
1140
+ "grad_norm": 2.8432154655456543,
1141
+ "learning_rate": 9.60767218831735e-06,
1142
+ "loss": 4.0419,
1143
+ "step": 81000
1144
+ },
1145
+ {
1146
+ "epoch": 3.947495882979754,
1147
+ "grad_norm": 3.018446683883667,
1148
+ "learning_rate": 9.605250411702025e-06,
1149
+ "loss": 4.0374,
1150
+ "step": 81500
1151
+ },
1152
+ {
1153
+ "epoch": 3.971713649133004,
1154
+ "grad_norm": 2.909247636795044,
1155
+ "learning_rate": 9.6028286350867e-06,
1156
+ "loss": 4.0299,
1157
+ "step": 82000
1158
+ },
1159
+ {
1160
+ "epoch": 3.995931415286254,
1161
+ "grad_norm": 3.047041654586792,
1162
+ "learning_rate": 9.600406858471375e-06,
1163
+ "loss": 4.0195,
1164
+ "step": 82500
1165
+ },
1166
+ {
1167
+ "epoch": 4.020149181439504,
1168
+ "grad_norm": 2.8578057289123535,
1169
+ "learning_rate": 9.59798508185605e-06,
1170
+ "loss": 4.0212,
1171
+ "step": 83000
1172
+ },
1173
+ {
1174
+ "epoch": 4.044366947592754,
1175
+ "grad_norm": 2.8038136959075928,
1176
+ "learning_rate": 9.595563305240725e-06,
1177
+ "loss": 4.0196,
1178
+ "step": 83500
1179
+ },
1180
+ {
1181
+ "epoch": 4.068584713746004,
1182
+ "grad_norm": 2.879891872406006,
1183
+ "learning_rate": 9.5931415286254e-06,
1184
+ "loss": 4.0127,
1185
+ "step": 84000
1186
+ },
1187
+ {
1188
+ "epoch": 4.092802479899254,
1189
+ "grad_norm": 2.875603437423706,
1190
+ "learning_rate": 9.590719752010075e-06,
1191
+ "loss": 4.0142,
1192
+ "step": 84500
1193
+ },
1194
+ {
1195
+ "epoch": 4.117020246052504,
1196
+ "grad_norm": 2.975302219390869,
1197
+ "learning_rate": 9.58829797539475e-06,
1198
+ "loss": 4.0002,
1199
+ "step": 85000
1200
+ },
1201
+ {
1202
+ "epoch": 4.141238012205754,
1203
+ "grad_norm": 2.9974005222320557,
1204
+ "learning_rate": 9.585876198779426e-06,
1205
+ "loss": 4.0038,
1206
+ "step": 85500
1207
+ },
1208
+ {
1209
+ "epoch": 4.1654557783590045,
1210
+ "grad_norm": 2.8580379486083984,
1211
+ "learning_rate": 9.5834544221641e-06,
1212
+ "loss": 4.0003,
1213
+ "step": 86000
1214
+ },
1215
+ {
1216
+ "epoch": 4.189673544512254,
1217
+ "grad_norm": 2.987436056137085,
1218
+ "learning_rate": 9.581032645548776e-06,
1219
+ "loss": 4.005,
1220
+ "step": 86500
1221
+ },
1222
+ {
1223
+ "epoch": 4.213891310665504,
1224
+ "grad_norm": 2.6872076988220215,
1225
+ "learning_rate": 9.57861086893345e-06,
1226
+ "loss": 3.9909,
1227
+ "step": 87000
1228
+ },
1229
+ {
1230
+ "epoch": 4.238109076818755,
1231
+ "grad_norm": 2.991762638092041,
1232
+ "learning_rate": 9.576189092318126e-06,
1233
+ "loss": 3.9897,
1234
+ "step": 87500
1235
+ },
1236
+ {
1237
+ "epoch": 4.262326842972004,
1238
+ "grad_norm": 2.8275723457336426,
1239
+ "learning_rate": 9.5737673157028e-06,
1240
+ "loss": 3.996,
1241
+ "step": 88000
1242
+ },
1243
+ {
1244
+ "epoch": 4.286544609125254,
1245
+ "grad_norm": 2.892839193344116,
1246
+ "learning_rate": 9.571345539087476e-06,
1247
+ "loss": 3.9946,
1248
+ "step": 88500
1249
+ },
1250
+ {
1251
+ "epoch": 4.310762375278505,
1252
+ "grad_norm": 2.8410208225250244,
1253
+ "learning_rate": 9.56892376247215e-06,
1254
+ "loss": 3.9862,
1255
+ "step": 89000
1256
+ },
1257
+ {
1258
+ "epoch": 4.334980141431754,
1259
+ "grad_norm": 2.797422409057617,
1260
+ "learning_rate": 9.566501985856826e-06,
1261
+ "loss": 3.9843,
1262
+ "step": 89500
1263
+ },
1264
+ {
1265
+ "epoch": 4.3591979075850045,
1266
+ "grad_norm": 2.855832099914551,
1267
+ "learning_rate": 9.564080209241501e-06,
1268
+ "loss": 3.9796,
1269
+ "step": 90000
1270
+ },
1271
+ {
1272
+ "epoch": 4.383415673738254,
1273
+ "grad_norm": 3.0120160579681396,
1274
+ "learning_rate": 9.561658432626174e-06,
1275
+ "loss": 3.9768,
1276
+ "step": 90500
1277
+ },
1278
+ {
1279
+ "epoch": 4.407633439891504,
1280
+ "grad_norm": 2.7952980995178223,
1281
+ "learning_rate": 9.559236656010851e-06,
1282
+ "loss": 3.9742,
1283
+ "step": 91000
1284
+ },
1285
+ {
1286
+ "epoch": 4.431851206044755,
1287
+ "grad_norm": 2.8430566787719727,
1288
+ "learning_rate": 9.556814879395525e-06,
1289
+ "loss": 3.9741,
1290
+ "step": 91500
1291
+ },
1292
+ {
1293
+ "epoch": 4.456068972198004,
1294
+ "grad_norm": 2.9674031734466553,
1295
+ "learning_rate": 9.554393102780201e-06,
1296
+ "loss": 3.9697,
1297
+ "step": 92000
1298
+ },
1299
+ {
1300
+ "epoch": 4.480286738351254,
1301
+ "grad_norm": 3.0408644676208496,
1302
+ "learning_rate": 9.551971326164875e-06,
1303
+ "loss": 3.9624,
1304
+ "step": 92500
1305
+ },
1306
+ {
1307
+ "epoch": 4.504504504504505,
1308
+ "grad_norm": 2.9981327056884766,
1309
+ "learning_rate": 9.54954954954955e-06,
1310
+ "loss": 3.9652,
1311
+ "step": 93000
1312
+ },
1313
+ {
1314
+ "epoch": 4.528722270657754,
1315
+ "grad_norm": 2.7843706607818604,
1316
+ "learning_rate": 9.547127772934225e-06,
1317
+ "loss": 3.9722,
1318
+ "step": 93500
1319
+ },
1320
+ {
1321
+ "epoch": 4.5529400368110045,
1322
+ "grad_norm": 2.7166874408721924,
1323
+ "learning_rate": 9.5447059963189e-06,
1324
+ "loss": 3.9628,
1325
+ "step": 94000
1326
+ },
1327
+ {
1328
+ "epoch": 4.577157802964255,
1329
+ "grad_norm": 2.923854351043701,
1330
+ "learning_rate": 9.542284219703575e-06,
1331
+ "loss": 3.9594,
1332
+ "step": 94500
1333
+ },
1334
+ {
1335
+ "epoch": 4.601375569117504,
1336
+ "grad_norm": 2.915800094604492,
1337
+ "learning_rate": 9.53986244308825e-06,
1338
+ "loss": 3.9609,
1339
+ "step": 95000
1340
+ },
1341
+ {
1342
+ "epoch": 4.625593335270755,
1343
+ "grad_norm": 2.9524765014648438,
1344
+ "learning_rate": 9.537440666472925e-06,
1345
+ "loss": 3.9587,
1346
+ "step": 95500
1347
+ },
1348
+ {
1349
+ "epoch": 4.649811101424005,
1350
+ "grad_norm": 2.898005723953247,
1351
+ "learning_rate": 9.5350188898576e-06,
1352
+ "loss": 3.9498,
1353
+ "step": 96000
1354
+ },
1355
+ {
1356
+ "epoch": 4.674028867577254,
1357
+ "grad_norm": 2.9840903282165527,
1358
+ "learning_rate": 9.532597113242275e-06,
1359
+ "loss": 3.9508,
1360
+ "step": 96500
1361
+ },
1362
+ {
1363
+ "epoch": 4.698246633730505,
1364
+ "grad_norm": 2.7765541076660156,
1365
+ "learning_rate": 9.53017533662695e-06,
1366
+ "loss": 3.9481,
1367
+ "step": 97000
1368
+ },
1369
+ {
1370
+ "epoch": 4.722464399883755,
1371
+ "grad_norm": 2.8900692462921143,
1372
+ "learning_rate": 9.527753560011625e-06,
1373
+ "loss": 3.9365,
1374
+ "step": 97500
1375
+ },
1376
+ {
1377
+ "epoch": 4.746682166037004,
1378
+ "grad_norm": 2.8892781734466553,
1379
+ "learning_rate": 9.5253317833963e-06,
1380
+ "loss": 3.9492,
1381
+ "step": 98000
1382
+ },
1383
+ {
1384
+ "epoch": 4.770899932190255,
1385
+ "grad_norm": 2.960374355316162,
1386
+ "learning_rate": 9.522910006780975e-06,
1387
+ "loss": 3.942,
1388
+ "step": 98500
1389
+ },
1390
+ {
1391
+ "epoch": 4.795117698343505,
1392
+ "grad_norm": 2.7404415607452393,
1393
+ "learning_rate": 9.52048823016565e-06,
1394
+ "loss": 3.938,
1395
+ "step": 99000
1396
+ },
1397
+ {
1398
+ "epoch": 4.8193354644967545,
1399
+ "grad_norm": 3.024486780166626,
1400
+ "learning_rate": 9.518066453550326e-06,
1401
+ "loss": 3.9296,
1402
+ "step": 99500
1403
+ },
1404
+ {
1405
+ "epoch": 4.843553230650005,
1406
+ "grad_norm": 2.8316361904144287,
1407
+ "learning_rate": 9.515644676935e-06,
1408
+ "loss": 3.9351,
1409
+ "step": 100000
1410
+ },
1411
+ {
1412
+ "epoch": 4.867770996803255,
1413
+ "grad_norm": 2.8669049739837646,
1414
+ "learning_rate": 9.513222900319676e-06,
1415
+ "loss": 3.9373,
1416
+ "step": 100500
1417
+ },
1418
+ {
1419
+ "epoch": 4.891988762956505,
1420
+ "grad_norm": 2.7152950763702393,
1421
+ "learning_rate": 9.51080112370435e-06,
1422
+ "loss": 3.9163,
1423
+ "step": 101000
1424
+ },
1425
+ {
1426
+ "epoch": 4.916206529109755,
1427
+ "grad_norm": 2.7430613040924072,
1428
+ "learning_rate": 9.508379347089026e-06,
1429
+ "loss": 3.9273,
1430
+ "step": 101500
1431
+ },
1432
+ {
1433
+ "epoch": 4.940424295263005,
1434
+ "grad_norm": 3.0171566009521484,
1435
+ "learning_rate": 9.5059575704737e-06,
1436
+ "loss": 3.9247,
1437
+ "step": 102000
1438
+ },
1439
+ {
1440
+ "epoch": 4.964642061416255,
1441
+ "grad_norm": 2.833829164505005,
1442
+ "learning_rate": 9.503535793858374e-06,
1443
+ "loss": 3.9307,
1444
+ "step": 102500
1445
+ },
1446
+ {
1447
+ "epoch": 4.988859827569505,
1448
+ "grad_norm": 2.7739973068237305,
1449
+ "learning_rate": 9.501114017243051e-06,
1450
+ "loss": 3.9195,
1451
+ "step": 103000
1452
+ },
1453
+ {
1454
+ "epoch": 5.013077593722755,
1455
+ "grad_norm": 2.774411201477051,
1456
+ "learning_rate": 9.498692240627724e-06,
1457
+ "loss": 3.9116,
1458
+ "step": 103500
1459
+ },
1460
+ {
1461
+ "epoch": 5.037295359876005,
1462
+ "grad_norm": 2.851175546646118,
1463
+ "learning_rate": 9.496270464012401e-06,
1464
+ "loss": 3.9113,
1465
+ "step": 104000
1466
+ },
1467
+ {
1468
+ "epoch": 5.061513126029255,
1469
+ "grad_norm": 2.8700265884399414,
1470
+ "learning_rate": 9.493848687397074e-06,
1471
+ "loss": 3.9058,
1472
+ "step": 104500
1473
+ },
1474
+ {
1475
+ "epoch": 5.0857308921825055,
1476
+ "grad_norm": 2.8087737560272217,
1477
+ "learning_rate": 9.49142691078175e-06,
1478
+ "loss": 3.9087,
1479
+ "step": 105000
1480
+ },
1481
+ {
1482
+ "epoch": 5.109948658335755,
1483
+ "grad_norm": 2.882826328277588,
1484
+ "learning_rate": 9.489005134166426e-06,
1485
+ "loss": 3.907,
1486
+ "step": 105500
1487
+ },
1488
+ {
1489
+ "epoch": 5.134166424489005,
1490
+ "grad_norm": 2.900575637817383,
1491
+ "learning_rate": 9.4865833575511e-06,
1492
+ "loss": 3.9022,
1493
+ "step": 106000
1494
+ },
1495
+ {
1496
+ "epoch": 5.158384190642255,
1497
+ "grad_norm": 2.7019128799438477,
1498
+ "learning_rate": 9.484161580935776e-06,
1499
+ "loss": 3.9017,
1500
+ "step": 106500
1501
+ },
1502
+ {
1503
+ "epoch": 5.182601956795505,
1504
+ "grad_norm": 2.8361051082611084,
1505
+ "learning_rate": 9.48173980432045e-06,
1506
+ "loss": 3.9108,
1507
+ "step": 107000
1508
+ },
1509
+ {
1510
+ "epoch": 5.206819722948755,
1511
+ "grad_norm": 2.741563558578491,
1512
+ "learning_rate": 9.479318027705125e-06,
1513
+ "loss": 3.8919,
1514
+ "step": 107500
1515
+ },
1516
+ {
1517
+ "epoch": 5.231037489102005,
1518
+ "grad_norm": 2.967627763748169,
1519
+ "learning_rate": 9.4768962510898e-06,
1520
+ "loss": 3.8967,
1521
+ "step": 108000
1522
+ },
1523
+ {
1524
+ "epoch": 5.255255255255255,
1525
+ "grad_norm": 2.8605451583862305,
1526
+ "learning_rate": 9.474474474474475e-06,
1527
+ "loss": 3.897,
1528
+ "step": 108500
1529
+ },
1530
+ {
1531
+ "epoch": 5.2794730214085055,
1532
+ "grad_norm": 2.7184574604034424,
1533
+ "learning_rate": 9.47205269785915e-06,
1534
+ "loss": 3.8975,
1535
+ "step": 109000
1536
+ },
1537
+ {
1538
+ "epoch": 5.303690787561755,
1539
+ "grad_norm": 2.7433297634124756,
1540
+ "learning_rate": 9.469630921243825e-06,
1541
+ "loss": 3.8954,
1542
+ "step": 109500
1543
+ },
1544
+ {
1545
+ "epoch": 5.327908553715005,
1546
+ "grad_norm": 2.7750015258789062,
1547
+ "learning_rate": 9.4672091446285e-06,
1548
+ "loss": 3.8913,
1549
+ "step": 110000
1550
+ },
1551
+ {
1552
+ "epoch": 5.352126319868256,
1553
+ "grad_norm": 2.9533851146698,
1554
+ "learning_rate": 9.464787368013175e-06,
1555
+ "loss": 3.8844,
1556
+ "step": 110500
1557
+ },
1558
+ {
1559
+ "epoch": 5.376344086021505,
1560
+ "grad_norm": 2.8131632804870605,
1561
+ "learning_rate": 9.46236559139785e-06,
1562
+ "loss": 3.8809,
1563
+ "step": 111000
1564
+ },
1565
+ {
1566
+ "epoch": 5.400561852174755,
1567
+ "grad_norm": 2.791193723678589,
1568
+ "learning_rate": 9.459943814782525e-06,
1569
+ "loss": 3.885,
1570
+ "step": 111500
1571
+ },
1572
+ {
1573
+ "epoch": 5.424779618328006,
1574
+ "grad_norm": 2.869932174682617,
1575
+ "learning_rate": 9.4575220381672e-06,
1576
+ "loss": 3.8839,
1577
+ "step": 112000
1578
+ },
1579
+ {
1580
+ "epoch": 5.448997384481255,
1581
+ "grad_norm": 2.906806707382202,
1582
+ "learning_rate": 9.455100261551875e-06,
1583
+ "loss": 3.8816,
1584
+ "step": 112500
1585
+ },
1586
+ {
1587
+ "epoch": 5.4732151506345055,
1588
+ "grad_norm": 2.6837105751037598,
1589
+ "learning_rate": 9.45267848493655e-06,
1590
+ "loss": 3.88,
1591
+ "step": 113000
1592
+ },
1593
+ {
1594
+ "epoch": 5.497432916787756,
1595
+ "grad_norm": 2.9571547508239746,
1596
+ "learning_rate": 9.450256708321225e-06,
1597
+ "loss": 3.877,
1598
+ "step": 113500
1599
+ },
1600
+ {
1601
+ "epoch": 5.521650682941005,
1602
+ "grad_norm": 2.706204891204834,
1603
+ "learning_rate": 9.4478349317059e-06,
1604
+ "loss": 3.8772,
1605
+ "step": 114000
1606
+ },
1607
+ {
1608
+ "epoch": 5.545868449094256,
1609
+ "grad_norm": 2.7605583667755127,
1610
+ "learning_rate": 9.445413155090576e-06,
1611
+ "loss": 3.875,
1612
+ "step": 114500
1613
+ },
1614
+ {
1615
+ "epoch": 5.570086215247506,
1616
+ "grad_norm": 2.711221933364868,
1617
+ "learning_rate": 9.44299137847525e-06,
1618
+ "loss": 3.8712,
1619
+ "step": 115000
1620
+ },
1621
+ {
1622
+ "epoch": 5.594303981400755,
1623
+ "grad_norm": 2.9056496620178223,
1624
+ "learning_rate": 9.440569601859924e-06,
1625
+ "loss": 3.8639,
1626
+ "step": 115500
1627
+ },
1628
+ {
1629
+ "epoch": 5.618521747554006,
1630
+ "grad_norm": 2.7061548233032227,
1631
+ "learning_rate": 9.4381478252446e-06,
1632
+ "loss": 3.8677,
1633
+ "step": 116000
1634
+ },
1635
+ {
1636
+ "epoch": 5.642739513707256,
1637
+ "grad_norm": 2.9951186180114746,
1638
+ "learning_rate": 9.435726048629276e-06,
1639
+ "loss": 3.8667,
1640
+ "step": 116500
1641
+ },
1642
+ {
1643
+ "epoch": 5.6669572798605055,
1644
+ "grad_norm": 2.753833293914795,
1645
+ "learning_rate": 9.43330427201395e-06,
1646
+ "loss": 3.8669,
1647
+ "step": 117000
1648
+ },
1649
+ {
1650
+ "epoch": 5.691175046013756,
1651
+ "grad_norm": 2.8989222049713135,
1652
+ "learning_rate": 9.430882495398626e-06,
1653
+ "loss": 3.8751,
1654
+ "step": 117500
1655
+ },
1656
+ {
1657
+ "epoch": 5.715392812167005,
1658
+ "grad_norm": 3.0137453079223633,
1659
+ "learning_rate": 9.4284607187833e-06,
1660
+ "loss": 3.8706,
1661
+ "step": 118000
1662
+ },
1663
+ {
1664
+ "epoch": 5.739610578320256,
1665
+ "grad_norm": 2.7698261737823486,
1666
+ "learning_rate": 9.426038942167976e-06,
1667
+ "loss": 3.857,
1668
+ "step": 118500
1669
+ },
1670
+ {
1671
+ "epoch": 5.763828344473506,
1672
+ "grad_norm": 2.877211332321167,
1673
+ "learning_rate": 9.42361716555265e-06,
1674
+ "loss": 3.8541,
1675
+ "step": 119000
1676
+ },
1677
+ {
1678
+ "epoch": 5.788046110626755,
1679
+ "grad_norm": 2.8494150638580322,
1680
+ "learning_rate": 9.421195388937326e-06,
1681
+ "loss": 3.8594,
1682
+ "step": 119500
1683
+ },
1684
+ {
1685
+ "epoch": 5.812263876780006,
1686
+ "grad_norm": 2.72268009185791,
1687
+ "learning_rate": 9.418773612322e-06,
1688
+ "loss": 3.8526,
1689
+ "step": 120000
1690
+ },
1691
+ {
1692
+ "epoch": 5.836481642933256,
1693
+ "grad_norm": 3.0423946380615234,
1694
+ "learning_rate": 9.416351835706675e-06,
1695
+ "loss": 3.8558,
1696
+ "step": 120500
1697
+ },
1698
+ {
1699
+ "epoch": 5.860699409086505,
1700
+ "grad_norm": 2.7056820392608643,
1701
+ "learning_rate": 9.413930059091351e-06,
1702
+ "loss": 3.8494,
1703
+ "step": 121000
1704
+ },
1705
+ {
1706
+ "epoch": 5.884917175239756,
1707
+ "grad_norm": 2.7295594215393066,
1708
+ "learning_rate": 9.411508282476025e-06,
1709
+ "loss": 3.8557,
1710
+ "step": 121500
1711
+ },
1712
+ {
1713
+ "epoch": 5.909134941393006,
1714
+ "grad_norm": 2.8661701679229736,
1715
+ "learning_rate": 9.409086505860701e-06,
1716
+ "loss": 3.8528,
1717
+ "step": 122000
1718
+ },
1719
+ {
1720
+ "epoch": 5.9333527075462555,
1721
+ "grad_norm": 2.8183608055114746,
1722
+ "learning_rate": 9.406664729245375e-06,
1723
+ "loss": 3.8511,
1724
+ "step": 122500
1725
+ },
1726
+ {
1727
+ "epoch": 5.957570473699506,
1728
+ "grad_norm": 2.974858283996582,
1729
+ "learning_rate": 9.40424295263005e-06,
1730
+ "loss": 3.8438,
1731
+ "step": 123000
1732
+ },
1733
+ {
1734
+ "epoch": 5.981788239852756,
1735
+ "grad_norm": 2.8071188926696777,
1736
+ "learning_rate": 9.401821176014725e-06,
1737
+ "loss": 3.8338,
1738
+ "step": 123500
1739
+ },
1740
+ {
1741
+ "epoch": 6.006006006006006,
1742
+ "grad_norm": 2.679610252380371,
1743
+ "learning_rate": 9.3993993993994e-06,
1744
+ "loss": 3.8432,
1745
+ "step": 124000
1746
+ },
1747
+ {
1748
+ "epoch": 6.030223772159256,
1749
+ "grad_norm": 2.7918217182159424,
1750
+ "learning_rate": 9.396977622784075e-06,
1751
+ "loss": 3.8359,
1752
+ "step": 124500
1753
+ },
1754
+ {
1755
+ "epoch": 6.054441538312506,
1756
+ "grad_norm": 2.9353878498077393,
1757
+ "learning_rate": 9.39455584616875e-06,
1758
+ "loss": 3.8423,
1759
+ "step": 125000
1760
+ },
1761
+ {
1762
+ "epoch": 6.078659304465756,
1763
+ "grad_norm": 2.7717785835266113,
1764
+ "learning_rate": 9.392134069553425e-06,
1765
+ "loss": 3.8362,
1766
+ "step": 125500
1767
+ },
1768
+ {
1769
+ "epoch": 6.102877070619006,
1770
+ "grad_norm": 2.8372817039489746,
1771
+ "learning_rate": 9.3897122929381e-06,
1772
+ "loss": 3.8308,
1773
+ "step": 126000
1774
+ },
1775
+ {
1776
+ "epoch": 6.127094836772256,
1777
+ "grad_norm": 2.823821544647217,
1778
+ "learning_rate": 9.387290516322775e-06,
1779
+ "loss": 3.8314,
1780
+ "step": 126500
1781
+ },
1782
+ {
1783
+ "epoch": 6.151312602925506,
1784
+ "grad_norm": 2.7613956928253174,
1785
+ "learning_rate": 9.38486873970745e-06,
1786
+ "loss": 3.8317,
1787
+ "step": 127000
1788
+ },
1789
+ {
1790
+ "epoch": 6.175530369078756,
1791
+ "grad_norm": 2.745297431945801,
1792
+ "learning_rate": 9.382446963092125e-06,
1793
+ "loss": 3.8274,
1794
+ "step": 127500
1795
+ },
1796
+ {
1797
+ "epoch": 6.1997481352320065,
1798
+ "grad_norm": 2.7873809337615967,
1799
+ "learning_rate": 9.3800251864768e-06,
1800
+ "loss": 3.8203,
1801
+ "step": 128000
1802
+ },
1803
+ {
1804
+ "epoch": 6.223965901385256,
1805
+ "grad_norm": 2.871760606765747,
1806
+ "learning_rate": 9.377603409861475e-06,
1807
+ "loss": 3.8356,
1808
+ "step": 128500
1809
+ },
1810
+ {
1811
+ "epoch": 6.248183667538506,
1812
+ "grad_norm": 2.788484811782837,
1813
+ "learning_rate": 9.37518163324615e-06,
1814
+ "loss": 3.8239,
1815
+ "step": 129000
1816
+ },
1817
+ {
1818
+ "epoch": 6.272401433691757,
1819
+ "grad_norm": 2.7170634269714355,
1820
+ "learning_rate": 9.372759856630826e-06,
1821
+ "loss": 3.8208,
1822
+ "step": 129500
1823
+ },
1824
+ {
1825
+ "epoch": 6.296619199845006,
1826
+ "grad_norm": 2.8259615898132324,
1827
+ "learning_rate": 9.370338080015499e-06,
1828
+ "loss": 3.8241,
1829
+ "step": 130000
1830
+ },
1831
+ {
1832
+ "epoch": 6.320836965998256,
1833
+ "grad_norm": 2.9876561164855957,
1834
+ "learning_rate": 9.367916303400176e-06,
1835
+ "loss": 3.8259,
1836
+ "step": 130500
1837
+ },
1838
+ {
1839
+ "epoch": 6.345054732151507,
1840
+ "grad_norm": 2.844414710998535,
1841
+ "learning_rate": 9.365494526784849e-06,
1842
+ "loss": 3.8173,
1843
+ "step": 131000
1844
+ },
1845
+ {
1846
+ "epoch": 6.369272498304756,
1847
+ "grad_norm": 2.8100152015686035,
1848
+ "learning_rate": 9.363072750169526e-06,
1849
+ "loss": 3.8245,
1850
+ "step": 131500
1851
+ },
1852
+ {
1853
+ "epoch": 6.3934902644580065,
1854
+ "grad_norm": 2.8489105701446533,
1855
+ "learning_rate": 9.360650973554201e-06,
1856
+ "loss": 3.8147,
1857
+ "step": 132000
1858
+ },
1859
+ {
1860
+ "epoch": 6.417708030611257,
1861
+ "grad_norm": 2.8502120971679688,
1862
+ "learning_rate": 9.358229196938874e-06,
1863
+ "loss": 3.8122,
1864
+ "step": 132500
1865
+ },
1866
+ {
1867
+ "epoch": 6.441925796764506,
1868
+ "grad_norm": 2.9556784629821777,
1869
+ "learning_rate": 9.355807420323551e-06,
1870
+ "loss": 3.8131,
1871
+ "step": 133000
1872
+ },
1873
+ {
1874
+ "epoch": 6.466143562917757,
1875
+ "grad_norm": 2.762270212173462,
1876
+ "learning_rate": 9.353385643708224e-06,
1877
+ "loss": 3.807,
1878
+ "step": 133500
1879
+ },
1880
+ {
1881
+ "epoch": 6.490361329071007,
1882
+ "grad_norm": 2.7611629962921143,
1883
+ "learning_rate": 9.350963867092901e-06,
1884
+ "loss": 3.8113,
1885
+ "step": 134000
1886
+ },
1887
+ {
1888
+ "epoch": 6.514579095224256,
1889
+ "grad_norm": 2.738227605819702,
1890
+ "learning_rate": 9.348542090477574e-06,
1891
+ "loss": 3.8137,
1892
+ "step": 134500
1893
+ },
1894
+ {
1895
+ "epoch": 6.538796861377507,
1896
+ "grad_norm": 2.822857618331909,
1897
+ "learning_rate": 9.34612031386225e-06,
1898
+ "loss": 3.7986,
1899
+ "step": 135000
1900
+ },
1901
+ {
1902
+ "epoch": 6.563014627530757,
1903
+ "grad_norm": 2.731264591217041,
1904
+ "learning_rate": 9.343698537246925e-06,
1905
+ "loss": 3.808,
1906
+ "step": 135500
1907
+ },
1908
+ {
1909
+ "epoch": 6.5872323936840065,
1910
+ "grad_norm": 2.699312448501587,
1911
+ "learning_rate": 9.3412767606316e-06,
1912
+ "loss": 3.803,
1913
+ "step": 136000
1914
+ },
1915
+ {
1916
+ "epoch": 6.611450159837257,
1917
+ "grad_norm": 2.8332924842834473,
1918
+ "learning_rate": 9.338854984016275e-06,
1919
+ "loss": 3.8153,
1920
+ "step": 136500
1921
+ },
1922
+ {
1923
+ "epoch": 6.635667925990506,
1924
+ "grad_norm": 2.8680782318115234,
1925
+ "learning_rate": 9.33643320740095e-06,
1926
+ "loss": 3.7969,
1927
+ "step": 137000
1928
+ },
1929
+ {
1930
+ "epoch": 6.659885692143757,
1931
+ "grad_norm": 2.844148635864258,
1932
+ "learning_rate": 9.334011430785625e-06,
1933
+ "loss": 3.8032,
1934
+ "step": 137500
1935
+ },
1936
+ {
1937
+ "epoch": 6.684103458297007,
1938
+ "grad_norm": 2.7583229541778564,
1939
+ "learning_rate": 9.3315896541703e-06,
1940
+ "loss": 3.8099,
1941
+ "step": 138000
1942
+ },
1943
+ {
1944
+ "epoch": 6.708321224450256,
1945
+ "grad_norm": 2.8120036125183105,
1946
+ "learning_rate": 9.329167877554975e-06,
1947
+ "loss": 3.799,
1948
+ "step": 138500
1949
+ },
1950
+ {
1951
+ "epoch": 6.732538990603507,
1952
+ "grad_norm": 2.8804004192352295,
1953
+ "learning_rate": 9.32674610093965e-06,
1954
+ "loss": 3.7951,
1955
+ "step": 139000
1956
+ },
1957
+ {
1958
+ "epoch": 6.756756756756757,
1959
+ "grad_norm": 2.8031482696533203,
1960
+ "learning_rate": 9.324324324324325e-06,
1961
+ "loss": 3.7966,
1962
+ "step": 139500
1963
+ },
1964
+ {
1965
+ "epoch": 6.7809745229100065,
1966
+ "grad_norm": 2.7140092849731445,
1967
+ "learning_rate": 9.321902547709e-06,
1968
+ "loss": 3.7959,
1969
+ "step": 140000
1970
+ },
1971
+ {
1972
+ "epoch": 6.7809745229100065,
1973
+ "step": 140000,
1974
+ "total_flos": 5.861064073050849e+17,
1975
+ "train_loss": 4.399306026785714,
1976
+ "train_runtime": 93598.1238,
1977
+ "train_samples_per_second": 705.829,
1978
+ "train_steps_per_second": 22.058
1979
+ }
1980
+ ],
1981
+ "logging_steps": 500,
1982
+ "max_steps": 2064600,
1983
+ "num_input_tokens_seen": 0,
1984
+ "num_train_epochs": 100,
1985
+ "save_steps": 1000000,
1986
+ "stateful_callbacks": {
1987
+ "TrainerControl": {
1988
+ "args": {
1989
+ "should_epoch_stop": false,
1990
+ "should_evaluate": false,
1991
+ "should_log": false,
1992
+ "should_save": false,
1993
+ "should_training_stop": false
1994
+ },
1995
+ "attributes": {}
1996
+ }
1997
+ },
1998
+ "total_flos": 5.861064073050849e+17,
1999
+ "train_batch_size": 32,
2000
+ "trial_name": null,
2001
+ "trial_params": null
2002
+ }