emilykang commited on
Commit
198572f
1 Parent(s): f9c39fe

Training in progress, epoch 1

Browse files
adapter_config.json CHANGED
@@ -20,12 +20,12 @@
20
  "rank_pattern": {},
21
  "revision": null,
22
  "target_modules": [
23
- "v_proj",
24
- "q_proj",
25
- "dense",
26
  "k_proj",
27
  "fc2",
28
- "fc1"
 
 
 
29
  ],
30
  "task_type": "CAUSAL_LM",
31
  "use_dora": false,
 
20
  "rank_pattern": {},
21
  "revision": null,
22
  "target_modules": [
 
 
 
23
  "k_proj",
24
  "fc2",
25
+ "fc1",
26
+ "dense",
27
+ "v_proj",
28
+ "q_proj"
29
  ],
30
  "task_type": "CAUSAL_LM",
31
  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6de7ead116134eb93d84a091e600ead667b1ef4dd21de2e0e8b31446a47d408e
3
  size 47236352
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b315d32978bf65a12cbf3069168071bfb3b0c02de07c11d231d177a23884237
3
  size 47236352
trainer_state.json ADDED
@@ -0,0 +1,2494 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3520,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.028409090909090908,
13
+ "grad_norm": 1.4697265625,
14
+ "learning_rate": 0.00019999601726381413,
15
+ "loss": 2.9105,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.056818181818181816,
20
+ "grad_norm": 1.3994140625,
21
+ "learning_rate": 0.00019998406937250034,
22
+ "loss": 2.5482,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.08522727272727272,
27
+ "grad_norm": 1.5947265625,
28
+ "learning_rate": 0.00019996415727776455,
29
+ "loss": 2.5436,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.11363636363636363,
34
+ "grad_norm": 1.22265625,
35
+ "learning_rate": 0.0001999362825656992,
36
+ "loss": 2.5159,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.14204545454545456,
41
+ "grad_norm": 1.2119140625,
42
+ "learning_rate": 0.00019990044745665672,
43
+ "loss": 2.4464,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.17045454545454544,
48
+ "grad_norm": 1.23828125,
49
+ "learning_rate": 0.0001998566548050729,
50
+ "loss": 2.3599,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.19886363636363635,
55
+ "grad_norm": 1.2744140625,
56
+ "learning_rate": 0.00019980490809923926,
57
+ "loss": 2.5164,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.22727272727272727,
62
+ "grad_norm": 1.1611328125,
63
+ "learning_rate": 0.00019974521146102537,
64
+ "loss": 2.4555,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.2556818181818182,
69
+ "grad_norm": 1.2080078125,
70
+ "learning_rate": 0.00019967756964555045,
71
+ "loss": 2.3519,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.2840909090909091,
76
+ "grad_norm": 1.1796875,
77
+ "learning_rate": 0.0001996019880408046,
78
+ "loss": 2.3518,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.3125,
83
+ "grad_norm": 1.4345703125,
84
+ "learning_rate": 0.0001995184726672197,
85
+ "loss": 2.3879,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.3409090909090909,
90
+ "grad_norm": 1.16015625,
91
+ "learning_rate": 0.00019942703017718975,
92
+ "loss": 2.3626,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.3693181818181818,
97
+ "grad_norm": 1.103515625,
98
+ "learning_rate": 0.000199327667854541,
99
+ "loss": 2.3314,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.3977272727272727,
104
+ "grad_norm": 1.140625,
105
+ "learning_rate": 0.00019922039361395185,
106
+ "loss": 2.4043,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.42613636363636365,
111
+ "grad_norm": 1.0341796875,
112
+ "learning_rate": 0.00019910521600032227,
113
+ "loss": 2.3263,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.45454545454545453,
118
+ "grad_norm": 0.986328125,
119
+ "learning_rate": 0.0001989821441880933,
120
+ "loss": 2.3119,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.48295454545454547,
125
+ "grad_norm": 1.0888671875,
126
+ "learning_rate": 0.00019885118798051605,
127
+ "loss": 2.2697,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.5113636363636364,
132
+ "grad_norm": 0.9833984375,
133
+ "learning_rate": 0.00019871235780887113,
134
+ "loss": 2.2761,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.5397727272727273,
139
+ "grad_norm": 1.068359375,
140
+ "learning_rate": 0.00019856566473163746,
141
+ "loss": 2.3054,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.5681818181818182,
146
+ "grad_norm": 1.10546875,
147
+ "learning_rate": 0.0001984111204336116,
148
+ "loss": 2.2658,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.5965909090909091,
153
+ "grad_norm": 1.021484375,
154
+ "learning_rate": 0.00019824873722497694,
155
+ "loss": 2.2965,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.625,
160
+ "grad_norm": 0.986328125,
161
+ "learning_rate": 0.00019807852804032305,
162
+ "loss": 2.303,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.6534090909090909,
167
+ "grad_norm": 0.9755859375,
168
+ "learning_rate": 0.00019790050643761552,
169
+ "loss": 2.2398,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.6818181818181818,
174
+ "grad_norm": 0.94677734375,
175
+ "learning_rate": 0.00019771468659711595,
176
+ "loss": 2.257,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.7102272727272727,
181
+ "grad_norm": 0.953125,
182
+ "learning_rate": 0.0001975210833202524,
183
+ "loss": 2.288,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.7386363636363636,
188
+ "grad_norm": 1.1494140625,
189
+ "learning_rate": 0.00019731971202844036,
190
+ "loss": 2.264,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.7670454545454546,
195
+ "grad_norm": 0.98779296875,
196
+ "learning_rate": 0.00019711058876185447,
197
+ "loss": 2.2359,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.7954545454545454,
202
+ "grad_norm": 1.0556640625,
203
+ "learning_rate": 0.00019689373017815073,
204
+ "loss": 2.287,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.8238636363636364,
209
+ "grad_norm": 0.85009765625,
210
+ "learning_rate": 0.00019666915355113975,
211
+ "loss": 2.2565,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.8522727272727273,
216
+ "grad_norm": 1.0673828125,
217
+ "learning_rate": 0.00019643687676941068,
218
+ "loss": 2.2853,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.8806818181818182,
223
+ "grad_norm": 0.9814453125,
224
+ "learning_rate": 0.00019619691833490643,
225
+ "loss": 2.2209,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.9090909090909091,
230
+ "grad_norm": 0.87744140625,
231
+ "learning_rate": 0.00019594929736144976,
232
+ "loss": 2.2515,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.9375,
237
+ "grad_norm": 0.9345703125,
238
+ "learning_rate": 0.0001956940335732209,
239
+ "loss": 2.193,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.9659090909090909,
244
+ "grad_norm": 0.87451171875,
245
+ "learning_rate": 0.0001954311473031864,
246
+ "loss": 2.3074,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.9943181818181818,
251
+ "grad_norm": 0.91650390625,
252
+ "learning_rate": 0.00019516065949147943,
253
+ "loss": 2.2416,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 1.0227272727272727,
258
+ "grad_norm": 0.9345703125,
259
+ "learning_rate": 0.00019488259168373197,
260
+ "loss": 2.2029,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 1.0511363636363635,
265
+ "grad_norm": 1.904296875,
266
+ "learning_rate": 0.00019459696602935837,
267
+ "loss": 2.0812,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 1.0795454545454546,
272
+ "grad_norm": 0.93603515625,
273
+ "learning_rate": 0.00019430380527979123,
274
+ "loss": 2.1138,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 1.1079545454545454,
279
+ "grad_norm": 1.015625,
280
+ "learning_rate": 0.00019400313278666902,
281
+ "loss": 2.1646,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 1.1363636363636362,
286
+ "grad_norm": 1.1142578125,
287
+ "learning_rate": 0.0001936949724999762,
288
+ "loss": 2.0984,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 1.1647727272727273,
293
+ "grad_norm": 1.2470703125,
294
+ "learning_rate": 0.00019337934896613516,
295
+ "loss": 2.0974,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 1.1931818181818181,
300
+ "grad_norm": 0.96044921875,
301
+ "learning_rate": 0.00019305628732605137,
302
+ "loss": 2.095,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 1.2215909090909092,
307
+ "grad_norm": 0.9833984375,
308
+ "learning_rate": 0.00019272581331311047,
309
+ "loss": 2.1586,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 1.25,
314
+ "grad_norm": 1.068359375,
315
+ "learning_rate": 0.0001923879532511287,
316
+ "loss": 2.1677,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 1.2784090909090908,
321
+ "grad_norm": 1.0478515625,
322
+ "learning_rate": 0.00019204273405225587,
323
+ "loss": 2.1594,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 1.3068181818181819,
328
+ "grad_norm": 1.2109375,
329
+ "learning_rate": 0.00019169018321483198,
330
+ "loss": 2.1347,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 1.3352272727272727,
335
+ "grad_norm": 1.091796875,
336
+ "learning_rate": 0.00019133032882119653,
337
+ "loss": 2.0907,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 1.3636363636363638,
342
+ "grad_norm": 1.09375,
343
+ "learning_rate": 0.00019096319953545185,
344
+ "loss": 2.1914,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 1.3920454545454546,
349
+ "grad_norm": 1.025390625,
350
+ "learning_rate": 0.00019058882460117974,
351
+ "loss": 2.1875,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 1.4204545454545454,
356
+ "grad_norm": 1.0380859375,
357
+ "learning_rate": 0.00019020723383911215,
358
+ "loss": 2.1611,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 1.4488636363636362,
363
+ "grad_norm": 0.9951171875,
364
+ "learning_rate": 0.00018981845764475582,
365
+ "loss": 2.113,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 1.4772727272727273,
370
+ "grad_norm": 1.208984375,
371
+ "learning_rate": 0.00018942252698597113,
372
+ "loss": 2.1395,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 1.5056818181818183,
377
+ "grad_norm": 1.0732421875,
378
+ "learning_rate": 0.00018901947340050528,
379
+ "loss": 2.1425,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 1.5340909090909092,
384
+ "grad_norm": 1.0830078125,
385
+ "learning_rate": 0.00018860932899348028,
386
+ "loss": 2.0784,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 1.5625,
391
+ "grad_norm": 1.23046875,
392
+ "learning_rate": 0.0001881921264348355,
393
+ "loss": 2.0838,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 1.5909090909090908,
398
+ "grad_norm": 1.30859375,
399
+ "learning_rate": 0.00018776789895672558,
400
+ "loss": 2.1142,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 1.6193181818181817,
405
+ "grad_norm": 1.4462890625,
406
+ "learning_rate": 0.00018733668035087302,
407
+ "loss": 2.1271,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 1.6477272727272727,
412
+ "grad_norm": 1.123046875,
413
+ "learning_rate": 0.00018689850496587674,
414
+ "loss": 2.0622,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 1.6761363636363638,
419
+ "grad_norm": 1.119140625,
420
+ "learning_rate": 0.00018645340770447595,
421
+ "loss": 2.1017,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 1.7045454545454546,
426
+ "grad_norm": 0.984375,
427
+ "learning_rate": 0.00018600142402077006,
428
+ "loss": 2.0523,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 1.7329545454545454,
433
+ "grad_norm": 1.0556640625,
434
+ "learning_rate": 0.00018554258991739452,
435
+ "loss": 2.1738,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 1.7613636363636362,
440
+ "grad_norm": 1.1376953125,
441
+ "learning_rate": 0.0001850769419426531,
442
+ "loss": 2.107,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 1.7897727272727273,
447
+ "grad_norm": 1.1875,
448
+ "learning_rate": 0.0001846045171876065,
449
+ "loss": 2.1752,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 1.8181818181818183,
454
+ "grad_norm": 1.0634765625,
455
+ "learning_rate": 0.00018412535328311814,
456
+ "loss": 2.0615,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 1.8465909090909092,
461
+ "grad_norm": 1.205078125,
462
+ "learning_rate": 0.00018363948839685636,
463
+ "loss": 2.101,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 1.875,
468
+ "grad_norm": 1.05859375,
469
+ "learning_rate": 0.00018314696123025454,
470
+ "loss": 2.1308,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 1.9034090909090908,
475
+ "grad_norm": 1.078125,
476
+ "learning_rate": 0.000182647811015428,
477
+ "loss": 2.1138,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 1.9318181818181817,
482
+ "grad_norm": 1.015625,
483
+ "learning_rate": 0.00018214207751204918,
484
+ "loss": 2.0551,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 1.9602272727272727,
489
+ "grad_norm": 1.2529296875,
490
+ "learning_rate": 0.0001816298010041806,
491
+ "loss": 2.1243,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 1.9886363636363638,
496
+ "grad_norm": 1.0625,
497
+ "learning_rate": 0.0001811110222970659,
498
+ "loss": 2.0663,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 2.0170454545454546,
503
+ "grad_norm": 1.345703125,
504
+ "learning_rate": 0.0001805857827138798,
505
+ "loss": 2.1003,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 2.0454545454545454,
510
+ "grad_norm": 1.0517578125,
511
+ "learning_rate": 0.00018005412409243606,
512
+ "loss": 2.0274,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 2.0738636363636362,
517
+ "grad_norm": 1.021484375,
518
+ "learning_rate": 0.0001795160887818553,
519
+ "loss": 1.9693,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 2.102272727272727,
524
+ "grad_norm": 1.1298828125,
525
+ "learning_rate": 0.0001789717196391916,
526
+ "loss": 2.0038,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 2.1306818181818183,
531
+ "grad_norm": 1.080078125,
532
+ "learning_rate": 0.00017842106002601856,
533
+ "loss": 2.0249,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 2.159090909090909,
538
+ "grad_norm": 1.146484375,
539
+ "learning_rate": 0.00017786415380497553,
540
+ "loss": 1.965,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 2.1875,
545
+ "grad_norm": 1.2890625,
546
+ "learning_rate": 0.0001773010453362737,
547
+ "loss": 1.9959,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 2.215909090909091,
552
+ "grad_norm": 1.1259765625,
553
+ "learning_rate": 0.00017673177947416258,
554
+ "loss": 1.9325,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 2.2443181818181817,
559
+ "grad_norm": 1.15625,
560
+ "learning_rate": 0.00017615640156335712,
561
+ "loss": 2.031,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 2.2727272727272725,
566
+ "grad_norm": 1.24609375,
567
+ "learning_rate": 0.00017557495743542585,
568
+ "loss": 1.9761,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 2.3011363636363638,
573
+ "grad_norm": 1.3046875,
574
+ "learning_rate": 0.0001749874934051401,
575
+ "loss": 2.0198,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 2.3295454545454546,
580
+ "grad_norm": 1.25390625,
581
+ "learning_rate": 0.00017439405626678496,
582
+ "loss": 1.9408,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 2.3579545454545454,
587
+ "grad_norm": 1.1611328125,
588
+ "learning_rate": 0.00017379469329043167,
589
+ "loss": 2.0076,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 2.3863636363636362,
594
+ "grad_norm": 1.1669921875,
595
+ "learning_rate": 0.00017318945221817255,
596
+ "loss": 2.0166,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 2.4147727272727275,
601
+ "grad_norm": 1.212890625,
602
+ "learning_rate": 0.00017257838126031797,
603
+ "loss": 2.0593,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 2.4431818181818183,
608
+ "grad_norm": 1.2314453125,
609
+ "learning_rate": 0.00017196152909155628,
610
+ "loss": 1.9916,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 2.471590909090909,
615
+ "grad_norm": 1.1845703125,
616
+ "learning_rate": 0.00017133894484707655,
617
+ "loss": 1.9788,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 2.5,
622
+ "grad_norm": 1.087890625,
623
+ "learning_rate": 0.00017071067811865476,
624
+ "loss": 1.9791,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 2.528409090909091,
629
+ "grad_norm": 1.2236328125,
630
+ "learning_rate": 0.00017007677895070357,
631
+ "loss": 2.0564,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 2.5568181818181817,
636
+ "grad_norm": 1.2998046875,
637
+ "learning_rate": 0.00016943729783628608,
638
+ "loss": 1.9301,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 2.5852272727272725,
643
+ "grad_norm": 1.1318359375,
644
+ "learning_rate": 0.00016879228571309377,
645
+ "loss": 1.9204,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 2.6136363636363638,
650
+ "grad_norm": 1.1044921875,
651
+ "learning_rate": 0.00016814179395938913,
652
+ "loss": 2.0031,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 2.6420454545454546,
657
+ "grad_norm": 1.2138671875,
658
+ "learning_rate": 0.00016748587438991303,
659
+ "loss": 1.9994,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 2.6704545454545454,
664
+ "grad_norm": 1.1650390625,
665
+ "learning_rate": 0.00016682457925175763,
666
+ "loss": 2.0172,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 2.6988636363636362,
671
+ "grad_norm": 1.26953125,
672
+ "learning_rate": 0.00016615796122020443,
673
+ "loss": 1.9542,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 2.7272727272727275,
678
+ "grad_norm": 1.423828125,
679
+ "learning_rate": 0.00016548607339452853,
680
+ "loss": 1.9322,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 2.7556818181818183,
685
+ "grad_norm": 1.3388671875,
686
+ "learning_rate": 0.00016480896929376907,
687
+ "loss": 1.9912,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 2.784090909090909,
692
+ "grad_norm": 1.2529296875,
693
+ "learning_rate": 0.0001641267028524661,
694
+ "loss": 1.9818,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 2.8125,
699
+ "grad_norm": 1.2421875,
700
+ "learning_rate": 0.00016343932841636456,
701
+ "loss": 2.0132,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 2.840909090909091,
706
+ "grad_norm": 1.4873046875,
707
+ "learning_rate": 0.0001627469007380852,
708
+ "loss": 1.9735,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 2.8693181818181817,
713
+ "grad_norm": 1.1220703125,
714
+ "learning_rate": 0.00016204947497276345,
715
+ "loss": 1.9642,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 2.8977272727272725,
720
+ "grad_norm": 1.1171875,
721
+ "learning_rate": 0.00016134710667365596,
722
+ "loss": 1.9564,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 2.9261363636363638,
727
+ "grad_norm": 1.142578125,
728
+ "learning_rate": 0.00016063985178771555,
729
+ "loss": 1.9701,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 2.9545454545454546,
734
+ "grad_norm": 1.17578125,
735
+ "learning_rate": 0.0001599277666511347,
736
+ "loss": 1.913,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 2.9829545454545454,
741
+ "grad_norm": 1.1396484375,
742
+ "learning_rate": 0.00015921090798485832,
743
+ "loss": 2.0151,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 3.0113636363636362,
748
+ "grad_norm": 1.2216796875,
749
+ "learning_rate": 0.0001584893328900653,
750
+ "loss": 1.9299,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 3.039772727272727,
755
+ "grad_norm": 1.1787109375,
756
+ "learning_rate": 0.0001577630988436206,
757
+ "loss": 1.899,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 3.0681818181818183,
762
+ "grad_norm": 1.31640625,
763
+ "learning_rate": 0.0001570322636934964,
764
+ "loss": 1.8602,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 3.096590909090909,
769
+ "grad_norm": 1.1279296875,
770
+ "learning_rate": 0.00015629688565416478,
771
+ "loss": 1.8292,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 3.125,
776
+ "grad_norm": 1.2705078125,
777
+ "learning_rate": 0.00015555702330196023,
778
+ "loss": 1.891,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 3.153409090909091,
783
+ "grad_norm": 1.208984375,
784
+ "learning_rate": 0.000154812735570414,
785
+ "loss": 1.8526,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 3.1818181818181817,
790
+ "grad_norm": 1.4580078125,
791
+ "learning_rate": 0.00015406408174555976,
792
+ "loss": 1.8514,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 3.210227272727273,
797
+ "grad_norm": 1.330078125,
798
+ "learning_rate": 0.00015331112146121104,
799
+ "loss": 1.8956,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 3.2386363636363638,
804
+ "grad_norm": 1.771484375,
805
+ "learning_rate": 0.00015255391469421128,
806
+ "loss": 1.8339,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 3.2670454545454546,
811
+ "grad_norm": 1.7021484375,
812
+ "learning_rate": 0.00015179252175965633,
813
+ "loss": 1.8952,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 3.2954545454545454,
818
+ "grad_norm": 1.5029296875,
819
+ "learning_rate": 0.00015102700330609,
820
+ "loss": 1.8727,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 3.3238636363636362,
825
+ "grad_norm": 1.296875,
826
+ "learning_rate": 0.00015025742031067317,
827
+ "loss": 1.8974,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 3.3522727272727275,
832
+ "grad_norm": 1.6708984375,
833
+ "learning_rate": 0.00014948383407432678,
834
+ "loss": 1.8314,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 3.3806818181818183,
839
+ "grad_norm": 1.6494140625,
840
+ "learning_rate": 0.00014870630621684872,
841
+ "loss": 1.8768,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 3.409090909090909,
846
+ "grad_norm": 1.1337890625,
847
+ "learning_rate": 0.0001479248986720057,
848
+ "loss": 1.8845,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 3.4375,
853
+ "grad_norm": 1.2841796875,
854
+ "learning_rate": 0.0001471396736825998,
855
+ "loss": 1.8475,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 3.465909090909091,
860
+ "grad_norm": 1.537109375,
861
+ "learning_rate": 0.00014635069379551055,
862
+ "loss": 1.8741,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 3.4943181818181817,
867
+ "grad_norm": 1.58203125,
868
+ "learning_rate": 0.00014555802185671298,
869
+ "loss": 1.8274,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 3.5227272727272725,
874
+ "grad_norm": 1.306640625,
875
+ "learning_rate": 0.00014476172100627127,
876
+ "loss": 1.8671,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 3.5511363636363638,
881
+ "grad_norm": 1.4541015625,
882
+ "learning_rate": 0.00014396185467330973,
883
+ "loss": 1.8998,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 3.5795454545454546,
888
+ "grad_norm": 1.3642578125,
889
+ "learning_rate": 0.00014315848657096004,
890
+ "loss": 1.8484,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 3.6079545454545454,
895
+ "grad_norm": 1.31640625,
896
+ "learning_rate": 0.00014235168069128657,
897
+ "loss": 1.9098,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 3.6363636363636362,
902
+ "grad_norm": 1.51171875,
903
+ "learning_rate": 0.00014154150130018866,
904
+ "loss": 1.8746,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 3.6647727272727275,
909
+ "grad_norm": 1.1796875,
910
+ "learning_rate": 0.00014072801293228188,
911
+ "loss": 1.9036,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 3.6931818181818183,
916
+ "grad_norm": 1.205078125,
917
+ "learning_rate": 0.00013991128038575741,
918
+ "loss": 1.9155,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 3.721590909090909,
923
+ "grad_norm": 1.373046875,
924
+ "learning_rate": 0.00013909136871722067,
925
+ "loss": 1.8956,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 3.75,
930
+ "grad_norm": 1.2607421875,
931
+ "learning_rate": 0.000138268343236509,
932
+ "loss": 1.8862,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 3.778409090909091,
937
+ "grad_norm": 1.5869140625,
938
+ "learning_rate": 0.00013744226950148972,
939
+ "loss": 1.8749,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 3.8068181818181817,
944
+ "grad_norm": 1.3154296875,
945
+ "learning_rate": 0.00013661321331283796,
946
+ "loss": 1.8831,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 3.8352272727272725,
951
+ "grad_norm": 1.25,
952
+ "learning_rate": 0.00013578124070879534,
953
+ "loss": 1.8459,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 3.8636363636363638,
958
+ "grad_norm": 1.1337890625,
959
+ "learning_rate": 0.00013494641795990986,
960
+ "loss": 1.8644,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 3.8920454545454546,
965
+ "grad_norm": 1.2890625,
966
+ "learning_rate": 0.00013410881156375684,
967
+ "loss": 1.8569,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 3.9204545454545454,
972
+ "grad_norm": 1.76953125,
973
+ "learning_rate": 0.00013326848823964243,
974
+ "loss": 1.884,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 3.9488636363636362,
979
+ "grad_norm": 1.3408203125,
980
+ "learning_rate": 0.00013242551492328875,
981
+ "loss": 1.8759,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 3.9772727272727275,
986
+ "grad_norm": 1.546875,
987
+ "learning_rate": 0.0001315799587615025,
988
+ "loss": 1.8104,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 4.005681818181818,
993
+ "grad_norm": 1.169921875,
994
+ "learning_rate": 0.0001307318871068261,
995
+ "loss": 1.8617,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 4.034090909090909,
1000
+ "grad_norm": 1.2158203125,
1001
+ "learning_rate": 0.00012988136751217291,
1002
+ "loss": 1.7548,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 4.0625,
1007
+ "grad_norm": 1.30078125,
1008
+ "learning_rate": 0.00012902846772544624,
1009
+ "loss": 1.7547,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 4.090909090909091,
1014
+ "grad_norm": 1.2236328125,
1015
+ "learning_rate": 0.00012817325568414297,
1016
+ "loss": 1.7734,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 4.119318181818182,
1021
+ "grad_norm": 1.259765625,
1022
+ "learning_rate": 0.000127315799509942,
1023
+ "loss": 1.7146,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 4.1477272727272725,
1028
+ "grad_norm": 1.4580078125,
1029
+ "learning_rate": 0.0001264561675032779,
1030
+ "loss": 1.788,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 4.176136363636363,
1035
+ "grad_norm": 1.5205078125,
1036
+ "learning_rate": 0.00012559442813790076,
1037
+ "loss": 1.8247,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 4.204545454545454,
1042
+ "grad_norm": 1.3359375,
1043
+ "learning_rate": 0.00012473065005542155,
1044
+ "loss": 1.7217,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 4.232954545454546,
1049
+ "grad_norm": 1.28125,
1050
+ "learning_rate": 0.00012386490205984488,
1051
+ "loss": 1.772,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 4.261363636363637,
1056
+ "grad_norm": 1.2919921875,
1057
+ "learning_rate": 0.00012299725311208808,
1058
+ "loss": 1.7837,
1059
+ "step": 1500
1060
+ },
1061
+ {
1062
+ "epoch": 4.2897727272727275,
1063
+ "grad_norm": 1.265625,
1064
+ "learning_rate": 0.00012212777232448838,
1065
+ "loss": 1.7954,
1066
+ "step": 1510
1067
+ },
1068
+ {
1069
+ "epoch": 4.318181818181818,
1070
+ "grad_norm": 1.5068359375,
1071
+ "learning_rate": 0.00012125652895529766,
1072
+ "loss": 1.7202,
1073
+ "step": 1520
1074
+ },
1075
+ {
1076
+ "epoch": 4.346590909090909,
1077
+ "grad_norm": 1.56640625,
1078
+ "learning_rate": 0.00012038359240316589,
1079
+ "loss": 1.7618,
1080
+ "step": 1530
1081
+ },
1082
+ {
1083
+ "epoch": 4.375,
1084
+ "grad_norm": 1.388671875,
1085
+ "learning_rate": 0.00011950903220161285,
1086
+ "loss": 1.758,
1087
+ "step": 1540
1088
+ },
1089
+ {
1090
+ "epoch": 4.403409090909091,
1091
+ "grad_norm": 1.6416015625,
1092
+ "learning_rate": 0.0001186329180134898,
1093
+ "loss": 1.8011,
1094
+ "step": 1550
1095
+ },
1096
+ {
1097
+ "epoch": 4.431818181818182,
1098
+ "grad_norm": 1.4912109375,
1099
+ "learning_rate": 0.00011775531962543036,
1100
+ "loss": 1.7798,
1101
+ "step": 1560
1102
+ },
1103
+ {
1104
+ "epoch": 4.4602272727272725,
1105
+ "grad_norm": 1.65234375,
1106
+ "learning_rate": 0.0001168763069422916,
1107
+ "loss": 1.7664,
1108
+ "step": 1570
1109
+ },
1110
+ {
1111
+ "epoch": 4.488636363636363,
1112
+ "grad_norm": 1.37109375,
1113
+ "learning_rate": 0.00011599594998158602,
1114
+ "loss": 1.7301,
1115
+ "step": 1580
1116
+ },
1117
+ {
1118
+ "epoch": 4.517045454545455,
1119
+ "grad_norm": 1.984375,
1120
+ "learning_rate": 0.00011511431886790407,
1121
+ "loss": 1.7749,
1122
+ "step": 1590
1123
+ },
1124
+ {
1125
+ "epoch": 4.545454545454545,
1126
+ "grad_norm": 1.3369140625,
1127
+ "learning_rate": 0.00011423148382732853,
1128
+ "loss": 1.7646,
1129
+ "step": 1600
1130
+ },
1131
+ {
1132
+ "epoch": 4.573863636363637,
1133
+ "grad_norm": 1.2080078125,
1134
+ "learning_rate": 0.00011334751518184061,
1135
+ "loss": 1.7962,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 4.6022727272727275,
1140
+ "grad_norm": 1.3974609375,
1141
+ "learning_rate": 0.0001124624833437186,
1142
+ "loss": 1.805,
1143
+ "step": 1620
1144
+ },
1145
+ {
1146
+ "epoch": 4.630681818181818,
1147
+ "grad_norm": 1.392578125,
1148
+ "learning_rate": 0.00011157645880992902,
1149
+ "loss": 1.7486,
1150
+ "step": 1630
1151
+ },
1152
+ {
1153
+ "epoch": 4.659090909090909,
1154
+ "grad_norm": 1.404296875,
1155
+ "learning_rate": 0.00011068951215651132,
1156
+ "loss": 1.7962,
1157
+ "step": 1640
1158
+ },
1159
+ {
1160
+ "epoch": 4.6875,
1161
+ "grad_norm": 1.380859375,
1162
+ "learning_rate": 0.0001098017140329561,
1163
+ "loss": 1.7722,
1164
+ "step": 1650
1165
+ },
1166
+ {
1167
+ "epoch": 4.715909090909091,
1168
+ "grad_norm": 1.580078125,
1169
+ "learning_rate": 0.0001089131351565776,
1170
+ "loss": 1.7477,
1171
+ "step": 1660
1172
+ },
1173
+ {
1174
+ "epoch": 4.744318181818182,
1175
+ "grad_norm": 1.490234375,
1176
+ "learning_rate": 0.00010802384630688078,
1177
+ "loss": 1.7825,
1178
+ "step": 1670
1179
+ },
1180
+ {
1181
+ "epoch": 4.7727272727272725,
1182
+ "grad_norm": 1.330078125,
1183
+ "learning_rate": 0.00010713391831992323,
1184
+ "loss": 1.7713,
1185
+ "step": 1680
1186
+ },
1187
+ {
1188
+ "epoch": 4.801136363636363,
1189
+ "grad_norm": 1.4033203125,
1190
+ "learning_rate": 0.00010624342208267292,
1191
+ "loss": 1.74,
1192
+ "step": 1690
1193
+ },
1194
+ {
1195
+ "epoch": 4.829545454545455,
1196
+ "grad_norm": 1.6806640625,
1197
+ "learning_rate": 0.00010535242852736151,
1198
+ "loss": 1.8173,
1199
+ "step": 1700
1200
+ },
1201
+ {
1202
+ "epoch": 4.857954545454545,
1203
+ "grad_norm": 1.603515625,
1204
+ "learning_rate": 0.00010446100862583459,
1205
+ "loss": 1.7703,
1206
+ "step": 1710
1207
+ },
1208
+ {
1209
+ "epoch": 4.886363636363637,
1210
+ "grad_norm": 1.4755859375,
1211
+ "learning_rate": 0.00010356923338389806,
1212
+ "loss": 1.8032,
1213
+ "step": 1720
1214
+ },
1215
+ {
1216
+ "epoch": 4.9147727272727275,
1217
+ "grad_norm": 1.4833984375,
1218
+ "learning_rate": 0.00010267717383566246,
1219
+ "loss": 1.8321,
1220
+ "step": 1730
1221
+ },
1222
+ {
1223
+ "epoch": 4.943181818181818,
1224
+ "grad_norm": 1.4462890625,
1225
+ "learning_rate": 0.0001017849010378846,
1226
+ "loss": 1.792,
1227
+ "step": 1740
1228
+ },
1229
+ {
1230
+ "epoch": 4.971590909090909,
1231
+ "grad_norm": 1.333984375,
1232
+ "learning_rate": 0.00010089248606430775,
1233
+ "loss": 1.7765,
1234
+ "step": 1750
1235
+ },
1236
+ {
1237
+ "epoch": 5.0,
1238
+ "grad_norm": 1.4609375,
1239
+ "learning_rate": 0.0001,
1240
+ "loss": 1.8083,
1241
+ "step": 1760
1242
+ },
1243
+ {
1244
+ "epoch": 5.028409090909091,
1245
+ "grad_norm": 1.482421875,
1246
+ "learning_rate": 9.910751393569229e-05,
1247
+ "loss": 1.7054,
1248
+ "step": 1770
1249
+ },
1250
+ {
1251
+ "epoch": 5.056818181818182,
1252
+ "grad_norm": 1.30859375,
1253
+ "learning_rate": 9.821509896211539e-05,
1254
+ "loss": 1.6561,
1255
+ "step": 1780
1256
+ },
1257
+ {
1258
+ "epoch": 5.0852272727272725,
1259
+ "grad_norm": 1.3037109375,
1260
+ "learning_rate": 9.732282616433756e-05,
1261
+ "loss": 1.6723,
1262
+ "step": 1790
1263
+ },
1264
+ {
1265
+ "epoch": 5.113636363636363,
1266
+ "grad_norm": 1.283203125,
1267
+ "learning_rate": 9.643076661610196e-05,
1268
+ "loss": 1.6675,
1269
+ "step": 1800
1270
+ },
1271
+ {
1272
+ "epoch": 5.142045454545454,
1273
+ "grad_norm": 1.3359375,
1274
+ "learning_rate": 9.553899137416545e-05,
1275
+ "loss": 1.6865,
1276
+ "step": 1810
1277
+ },
1278
+ {
1279
+ "epoch": 5.170454545454546,
1280
+ "grad_norm": 1.6669921875,
1281
+ "learning_rate": 9.464757147263849e-05,
1282
+ "loss": 1.7227,
1283
+ "step": 1820
1284
+ },
1285
+ {
1286
+ "epoch": 5.198863636363637,
1287
+ "grad_norm": 1.6875,
1288
+ "learning_rate": 9.37565779173271e-05,
1289
+ "loss": 1.7106,
1290
+ "step": 1830
1291
+ },
1292
+ {
1293
+ "epoch": 5.2272727272727275,
1294
+ "grad_norm": 1.4619140625,
1295
+ "learning_rate": 9.286608168007678e-05,
1296
+ "loss": 1.7399,
1297
+ "step": 1840
1298
+ },
1299
+ {
1300
+ "epoch": 5.255681818181818,
1301
+ "grad_norm": 1.4873046875,
1302
+ "learning_rate": 9.197615369311925e-05,
1303
+ "loss": 1.6774,
1304
+ "step": 1850
1305
+ },
1306
+ {
1307
+ "epoch": 5.284090909090909,
1308
+ "grad_norm": 1.3671875,
1309
+ "learning_rate": 9.108686484342241e-05,
1310
+ "loss": 1.675,
1311
+ "step": 1860
1312
+ },
1313
+ {
1314
+ "epoch": 5.3125,
1315
+ "grad_norm": 1.3916015625,
1316
+ "learning_rate": 9.019828596704394e-05,
1317
+ "loss": 1.6782,
1318
+ "step": 1870
1319
+ },
1320
+ {
1321
+ "epoch": 5.340909090909091,
1322
+ "grad_norm": 1.376953125,
1323
+ "learning_rate": 8.931048784348875e-05,
1324
+ "loss": 1.6725,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 5.369318181818182,
1329
+ "grad_norm": 1.50390625,
1330
+ "learning_rate": 8.842354119007099e-05,
1331
+ "loss": 1.6885,
1332
+ "step": 1890
1333
+ },
1334
+ {
1335
+ "epoch": 5.3977272727272725,
1336
+ "grad_norm": 1.3623046875,
1337
+ "learning_rate": 8.753751665628141e-05,
1338
+ "loss": 1.6701,
1339
+ "step": 1900
1340
+ },
1341
+ {
1342
+ "epoch": 5.426136363636363,
1343
+ "grad_norm": 2.06640625,
1344
+ "learning_rate": 8.665248481815941e-05,
1345
+ "loss": 1.7138,
1346
+ "step": 1910
1347
+ },
1348
+ {
1349
+ "epoch": 5.454545454545454,
1350
+ "grad_norm": 1.341796875,
1351
+ "learning_rate": 8.57685161726715e-05,
1352
+ "loss": 1.6776,
1353
+ "step": 1920
1354
+ },
1355
+ {
1356
+ "epoch": 5.482954545454546,
1357
+ "grad_norm": 1.62109375,
1358
+ "learning_rate": 8.488568113209593e-05,
1359
+ "loss": 1.6245,
1360
+ "step": 1930
1361
+ },
1362
+ {
1363
+ "epoch": 5.511363636363637,
1364
+ "grad_norm": 1.4208984375,
1365
+ "learning_rate": 8.400405001841399e-05,
1366
+ "loss": 1.6695,
1367
+ "step": 1940
1368
+ },
1369
+ {
1370
+ "epoch": 5.5397727272727275,
1371
+ "grad_norm": 1.439453125,
1372
+ "learning_rate": 8.312369305770843e-05,
1373
+ "loss": 1.7594,
1374
+ "step": 1950
1375
+ },
1376
+ {
1377
+ "epoch": 5.568181818181818,
1378
+ "grad_norm": 1.873046875,
1379
+ "learning_rate": 8.224468037456969e-05,
1380
+ "loss": 1.6707,
1381
+ "step": 1960
1382
+ },
1383
+ {
1384
+ "epoch": 5.596590909090909,
1385
+ "grad_norm": 1.6162109375,
1386
+ "learning_rate": 8.136708198651021e-05,
1387
+ "loss": 1.7541,
1388
+ "step": 1970
1389
+ },
1390
+ {
1391
+ "epoch": 5.625,
1392
+ "grad_norm": 1.51171875,
1393
+ "learning_rate": 8.049096779838719e-05,
1394
+ "loss": 1.6912,
1395
+ "step": 1980
1396
+ },
1397
+ {
1398
+ "epoch": 5.653409090909091,
1399
+ "grad_norm": 1.6669921875,
1400
+ "learning_rate": 7.961640759683416e-05,
1401
+ "loss": 1.6736,
1402
+ "step": 1990
1403
+ },
1404
+ {
1405
+ "epoch": 5.681818181818182,
1406
+ "grad_norm": 1.654296875,
1407
+ "learning_rate": 7.874347104470234e-05,
1408
+ "loss": 1.6927,
1409
+ "step": 2000
1410
+ },
1411
+ {
1412
+ "epoch": 5.7102272727272725,
1413
+ "grad_norm": 1.8779296875,
1414
+ "learning_rate": 7.787222767551164e-05,
1415
+ "loss": 1.6773,
1416
+ "step": 2010
1417
+ },
1418
+ {
1419
+ "epoch": 5.738636363636363,
1420
+ "grad_norm": 1.55078125,
1421
+ "learning_rate": 7.700274688791196e-05,
1422
+ "loss": 1.6698,
1423
+ "step": 2020
1424
+ },
1425
+ {
1426
+ "epoch": 5.767045454545455,
1427
+ "grad_norm": 1.400390625,
1428
+ "learning_rate": 7.613509794015517e-05,
1429
+ "loss": 1.6778,
1430
+ "step": 2030
1431
+ },
1432
+ {
1433
+ "epoch": 5.795454545454545,
1434
+ "grad_norm": 1.3837890625,
1435
+ "learning_rate": 7.526934994457844e-05,
1436
+ "loss": 1.7331,
1437
+ "step": 2040
1438
+ },
1439
+ {
1440
+ "epoch": 5.823863636363637,
1441
+ "grad_norm": 1.6669921875,
1442
+ "learning_rate": 7.440557186209926e-05,
1443
+ "loss": 1.6646,
1444
+ "step": 2050
1445
+ },
1446
+ {
1447
+ "epoch": 5.8522727272727275,
1448
+ "grad_norm": 1.4169921875,
1449
+ "learning_rate": 7.354383249672212e-05,
1450
+ "loss": 1.6603,
1451
+ "step": 2060
1452
+ },
1453
+ {
1454
+ "epoch": 5.880681818181818,
1455
+ "grad_norm": 2.63671875,
1456
+ "learning_rate": 7.268420049005807e-05,
1457
+ "loss": 1.6668,
1458
+ "step": 2070
1459
+ },
1460
+ {
1461
+ "epoch": 5.909090909090909,
1462
+ "grad_norm": 1.6923828125,
1463
+ "learning_rate": 7.182674431585704e-05,
1464
+ "loss": 1.6975,
1465
+ "step": 2080
1466
+ },
1467
+ {
1468
+ "epoch": 5.9375,
1469
+ "grad_norm": 1.7412109375,
1470
+ "learning_rate": 7.097153227455379e-05,
1471
+ "loss": 1.6874,
1472
+ "step": 2090
1473
+ },
1474
+ {
1475
+ "epoch": 5.965909090909091,
1476
+ "grad_norm": 1.4111328125,
1477
+ "learning_rate": 7.011863248782711e-05,
1478
+ "loss": 1.7143,
1479
+ "step": 2100
1480
+ },
1481
+ {
1482
+ "epoch": 5.994318181818182,
1483
+ "grad_norm": 1.3232421875,
1484
+ "learning_rate": 6.92681128931739e-05,
1485
+ "loss": 1.6843,
1486
+ "step": 2110
1487
+ },
1488
+ {
1489
+ "epoch": 6.0227272727272725,
1490
+ "grad_norm": 1.3046875,
1491
+ "learning_rate": 6.842004123849752e-05,
1492
+ "loss": 1.5913,
1493
+ "step": 2120
1494
+ },
1495
+ {
1496
+ "epoch": 6.051136363636363,
1497
+ "grad_norm": 1.6064453125,
1498
+ "learning_rate": 6.757448507671128e-05,
1499
+ "loss": 1.6041,
1500
+ "step": 2130
1501
+ },
1502
+ {
1503
+ "epoch": 6.079545454545454,
1504
+ "grad_norm": 1.4404296875,
1505
+ "learning_rate": 6.673151176035762e-05,
1506
+ "loss": 1.6045,
1507
+ "step": 2140
1508
+ },
1509
+ {
1510
+ "epoch": 6.107954545454546,
1511
+ "grad_norm": 1.39453125,
1512
+ "learning_rate": 6.589118843624315e-05,
1513
+ "loss": 1.5673,
1514
+ "step": 2150
1515
+ },
1516
+ {
1517
+ "epoch": 6.136363636363637,
1518
+ "grad_norm": 1.68359375,
1519
+ "learning_rate": 6.505358204009017e-05,
1520
+ "loss": 1.603,
1521
+ "step": 2160
1522
+ },
1523
+ {
1524
+ "epoch": 6.1647727272727275,
1525
+ "grad_norm": 1.4921875,
1526
+ "learning_rate": 6.421875929120469e-05,
1527
+ "loss": 1.6078,
1528
+ "step": 2170
1529
+ },
1530
+ {
1531
+ "epoch": 6.193181818181818,
1532
+ "grad_norm": 2.29296875,
1533
+ "learning_rate": 6.338678668716209e-05,
1534
+ "loss": 1.5896,
1535
+ "step": 2180
1536
+ },
1537
+ {
1538
+ "epoch": 6.221590909090909,
1539
+ "grad_norm": 1.5146484375,
1540
+ "learning_rate": 6.25577304985103e-05,
1541
+ "loss": 1.6124,
1542
+ "step": 2190
1543
+ },
1544
+ {
1545
+ "epoch": 6.25,
1546
+ "grad_norm": 1.359375,
1547
+ "learning_rate": 6.173165676349103e-05,
1548
+ "loss": 1.6001,
1549
+ "step": 2200
1550
+ },
1551
+ {
1552
+ "epoch": 6.278409090909091,
1553
+ "grad_norm": 1.6513671875,
1554
+ "learning_rate": 6.090863128277938e-05,
1555
+ "loss": 1.6603,
1556
+ "step": 2210
1557
+ },
1558
+ {
1559
+ "epoch": 6.306818181818182,
1560
+ "grad_norm": 1.4775390625,
1561
+ "learning_rate": 6.008871961424258e-05,
1562
+ "loss": 1.6338,
1563
+ "step": 2220
1564
+ },
1565
+ {
1566
+ "epoch": 6.3352272727272725,
1567
+ "grad_norm": 1.5576171875,
1568
+ "learning_rate": 5.9271987067718125e-05,
1569
+ "loss": 1.6557,
1570
+ "step": 2230
1571
+ },
1572
+ {
1573
+ "epoch": 6.363636363636363,
1574
+ "grad_norm": 1.44921875,
1575
+ "learning_rate": 5.845849869981137e-05,
1576
+ "loss": 1.5855,
1577
+ "step": 2240
1578
+ },
1579
+ {
1580
+ "epoch": 6.392045454545454,
1581
+ "grad_norm": 1.35546875,
1582
+ "learning_rate": 5.7648319308713464e-05,
1583
+ "loss": 1.6695,
1584
+ "step": 2250
1585
+ },
1586
+ {
1587
+ "epoch": 6.420454545454546,
1588
+ "grad_norm": 1.3837890625,
1589
+ "learning_rate": 5.684151342903992e-05,
1590
+ "loss": 1.6349,
1591
+ "step": 2260
1592
+ },
1593
+ {
1594
+ "epoch": 6.448863636363637,
1595
+ "grad_norm": 1.669921875,
1596
+ "learning_rate": 5.603814532669032e-05,
1597
+ "loss": 1.6279,
1598
+ "step": 2270
1599
+ },
1600
+ {
1601
+ "epoch": 6.4772727272727275,
1602
+ "grad_norm": 1.5185546875,
1603
+ "learning_rate": 5.5238278993728756e-05,
1604
+ "loss": 1.5647,
1605
+ "step": 2280
1606
+ },
1607
+ {
1608
+ "epoch": 6.505681818181818,
1609
+ "grad_norm": 1.9384765625,
1610
+ "learning_rate": 5.4441978143287066e-05,
1611
+ "loss": 1.6135,
1612
+ "step": 2290
1613
+ },
1614
+ {
1615
+ "epoch": 6.534090909090909,
1616
+ "grad_norm": 1.4892578125,
1617
+ "learning_rate": 5.364930620448946e-05,
1618
+ "loss": 1.5748,
1619
+ "step": 2300
1620
+ },
1621
+ {
1622
+ "epoch": 6.5625,
1623
+ "grad_norm": 1.4716796875,
1624
+ "learning_rate": 5.286032631740023e-05,
1625
+ "loss": 1.644,
1626
+ "step": 2310
1627
+ },
1628
+ {
1629
+ "epoch": 6.590909090909091,
1630
+ "grad_norm": 1.513671875,
1631
+ "learning_rate": 5.207510132799436e-05,
1632
+ "loss": 1.6049,
1633
+ "step": 2320
1634
+ },
1635
+ {
1636
+ "epoch": 6.619318181818182,
1637
+ "grad_norm": 1.392578125,
1638
+ "learning_rate": 5.1293693783151275e-05,
1639
+ "loss": 1.6798,
1640
+ "step": 2330
1641
+ },
1642
+ {
1643
+ "epoch": 6.6477272727272725,
1644
+ "grad_norm": 1.748046875,
1645
+ "learning_rate": 5.051616592567323e-05,
1646
+ "loss": 1.6548,
1647
+ "step": 2340
1648
+ },
1649
+ {
1650
+ "epoch": 6.676136363636363,
1651
+ "grad_norm": 1.4150390625,
1652
+ "learning_rate": 4.9742579689326874e-05,
1653
+ "loss": 1.599,
1654
+ "step": 2350
1655
+ },
1656
+ {
1657
+ "epoch": 6.704545454545455,
1658
+ "grad_norm": 2.0625,
1659
+ "learning_rate": 4.8972996693910054e-05,
1660
+ "loss": 1.6521,
1661
+ "step": 2360
1662
+ },
1663
+ {
1664
+ "epoch": 6.732954545454545,
1665
+ "grad_norm": 1.7119140625,
1666
+ "learning_rate": 4.82074782403437e-05,
1667
+ "loss": 1.6407,
1668
+ "step": 2370
1669
+ },
1670
+ {
1671
+ "epoch": 6.761363636363637,
1672
+ "grad_norm": 1.619140625,
1673
+ "learning_rate": 4.7446085305788725e-05,
1674
+ "loss": 1.6925,
1675
+ "step": 2380
1676
+ },
1677
+ {
1678
+ "epoch": 6.7897727272727275,
1679
+ "grad_norm": 1.900390625,
1680
+ "learning_rate": 4.668887853878896e-05,
1681
+ "loss": 1.6109,
1682
+ "step": 2390
1683
+ },
1684
+ {
1685
+ "epoch": 6.818181818181818,
1686
+ "grad_norm": 1.6572265625,
1687
+ "learning_rate": 4.593591825444028e-05,
1688
+ "loss": 1.6055,
1689
+ "step": 2400
1690
+ },
1691
+ {
1692
+ "epoch": 6.846590909090909,
1693
+ "grad_norm": 1.3701171875,
1694
+ "learning_rate": 4.518726442958599e-05,
1695
+ "loss": 1.5787,
1696
+ "step": 2410
1697
+ },
1698
+ {
1699
+ "epoch": 6.875,
1700
+ "grad_norm": 1.6171875,
1701
+ "learning_rate": 4.444297669803981e-05,
1702
+ "loss": 1.6368,
1703
+ "step": 2420
1704
+ },
1705
+ {
1706
+ "epoch": 6.903409090909091,
1707
+ "grad_norm": 1.49609375,
1708
+ "learning_rate": 4.370311434583525e-05,
1709
+ "loss": 1.6239,
1710
+ "step": 2430
1711
+ },
1712
+ {
1713
+ "epoch": 6.931818181818182,
1714
+ "grad_norm": 1.7333984375,
1715
+ "learning_rate": 4.296773630650358e-05,
1716
+ "loss": 1.5953,
1717
+ "step": 2440
1718
+ },
1719
+ {
1720
+ "epoch": 6.9602272727272725,
1721
+ "grad_norm": 1.302734375,
1722
+ "learning_rate": 4.223690115637944e-05,
1723
+ "loss": 1.5964,
1724
+ "step": 2450
1725
+ },
1726
+ {
1727
+ "epoch": 6.988636363636363,
1728
+ "grad_norm": 1.4521484375,
1729
+ "learning_rate": 4.15106671099347e-05,
1730
+ "loss": 1.6531,
1731
+ "step": 2460
1732
+ },
1733
+ {
1734
+ "epoch": 7.017045454545454,
1735
+ "grad_norm": 1.59375,
1736
+ "learning_rate": 4.0789092015141714e-05,
1737
+ "loss": 1.5872,
1738
+ "step": 2470
1739
+ },
1740
+ {
1741
+ "epoch": 7.045454545454546,
1742
+ "grad_norm": 1.4765625,
1743
+ "learning_rate": 4.007223334886531e-05,
1744
+ "loss": 1.5554,
1745
+ "step": 2480
1746
+ },
1747
+ {
1748
+ "epoch": 7.073863636363637,
1749
+ "grad_norm": 1.517578125,
1750
+ "learning_rate": 3.9360148212284475e-05,
1751
+ "loss": 1.5189,
1752
+ "step": 2490
1753
+ },
1754
+ {
1755
+ "epoch": 7.1022727272727275,
1756
+ "grad_norm": 1.4599609375,
1757
+ "learning_rate": 3.865289332634407e-05,
1758
+ "loss": 1.5523,
1759
+ "step": 2500
1760
+ },
1761
+ {
1762
+ "epoch": 7.130681818181818,
1763
+ "grad_norm": 1.6494140625,
1764
+ "learning_rate": 3.7950525027236585e-05,
1765
+ "loss": 1.5453,
1766
+ "step": 2510
1767
+ },
1768
+ {
1769
+ "epoch": 7.159090909090909,
1770
+ "grad_norm": 1.4560546875,
1771
+ "learning_rate": 3.725309926191479e-05,
1772
+ "loss": 1.5612,
1773
+ "step": 2520
1774
+ },
1775
+ {
1776
+ "epoch": 7.1875,
1777
+ "grad_norm": 1.630859375,
1778
+ "learning_rate": 3.6560671583635467e-05,
1779
+ "loss": 1.6003,
1780
+ "step": 2530
1781
+ },
1782
+ {
1783
+ "epoch": 7.215909090909091,
1784
+ "grad_norm": 1.3662109375,
1785
+ "learning_rate": 3.5873297147533915e-05,
1786
+ "loss": 1.5927,
1787
+ "step": 2540
1788
+ },
1789
+ {
1790
+ "epoch": 7.244318181818182,
1791
+ "grad_norm": 1.43359375,
1792
+ "learning_rate": 3.519103070623096e-05,
1793
+ "loss": 1.545,
1794
+ "step": 2550
1795
+ },
1796
+ {
1797
+ "epoch": 7.2727272727272725,
1798
+ "grad_norm": 1.5654296875,
1799
+ "learning_rate": 3.45139266054715e-05,
1800
+ "loss": 1.5439,
1801
+ "step": 2560
1802
+ },
1803
+ {
1804
+ "epoch": 7.301136363636363,
1805
+ "grad_norm": 1.845703125,
1806
+ "learning_rate": 3.384203877979559e-05,
1807
+ "loss": 1.5953,
1808
+ "step": 2570
1809
+ },
1810
+ {
1811
+ "epoch": 7.329545454545454,
1812
+ "grad_norm": 1.80859375,
1813
+ "learning_rate": 3.3175420748242406e-05,
1814
+ "loss": 1.5458,
1815
+ "step": 2580
1816
+ },
1817
+ {
1818
+ "epoch": 7.357954545454546,
1819
+ "grad_norm": 1.4873046875,
1820
+ "learning_rate": 3.2514125610086955e-05,
1821
+ "loss": 1.5612,
1822
+ "step": 2590
1823
+ },
1824
+ {
1825
+ "epoch": 7.386363636363637,
1826
+ "grad_norm": 1.5927734375,
1827
+ "learning_rate": 3.185820604061088e-05,
1828
+ "loss": 1.5528,
1829
+ "step": 2600
1830
+ },
1831
+ {
1832
+ "epoch": 7.4147727272727275,
1833
+ "grad_norm": 1.53125,
1834
+ "learning_rate": 3.1207714286906256e-05,
1835
+ "loss": 1.5178,
1836
+ "step": 2610
1837
+ },
1838
+ {
1839
+ "epoch": 7.443181818181818,
1840
+ "grad_norm": 1.455078125,
1841
+ "learning_rate": 3.056270216371395e-05,
1842
+ "loss": 1.5612,
1843
+ "step": 2620
1844
+ },
1845
+ {
1846
+ "epoch": 7.471590909090909,
1847
+ "grad_norm": 1.580078125,
1848
+ "learning_rate": 2.9923221049296446e-05,
1849
+ "loss": 1.5789,
1850
+ "step": 2630
1851
+ },
1852
+ {
1853
+ "epoch": 7.5,
1854
+ "grad_norm": 1.5400390625,
1855
+ "learning_rate": 2.9289321881345254e-05,
1856
+ "loss": 1.5545,
1857
+ "step": 2640
1858
+ },
1859
+ {
1860
+ "epoch": 7.528409090909091,
1861
+ "grad_norm": 1.4794921875,
1862
+ "learning_rate": 2.8661055152923456e-05,
1863
+ "loss": 1.5833,
1864
+ "step": 2650
1865
+ },
1866
+ {
1867
+ "epoch": 7.556818181818182,
1868
+ "grad_norm": 1.5126953125,
1869
+ "learning_rate": 2.8038470908443714e-05,
1870
+ "loss": 1.5997,
1871
+ "step": 2660
1872
+ },
1873
+ {
1874
+ "epoch": 7.5852272727272725,
1875
+ "grad_norm": 1.5869140625,
1876
+ "learning_rate": 2.742161873968202e-05,
1877
+ "loss": 1.5628,
1878
+ "step": 2670
1879
+ },
1880
+ {
1881
+ "epoch": 7.613636363636363,
1882
+ "grad_norm": 1.4697265625,
1883
+ "learning_rate": 2.681054778182748e-05,
1884
+ "loss": 1.5693,
1885
+ "step": 2680
1886
+ },
1887
+ {
1888
+ "epoch": 7.642045454545455,
1889
+ "grad_norm": 1.572265625,
1890
+ "learning_rate": 2.6205306709568354e-05,
1891
+ "loss": 1.6006,
1892
+ "step": 2690
1893
+ },
1894
+ {
1895
+ "epoch": 7.670454545454545,
1896
+ "grad_norm": 1.6005859375,
1897
+ "learning_rate": 2.5605943733215042e-05,
1898
+ "loss": 1.5808,
1899
+ "step": 2700
1900
+ },
1901
+ {
1902
+ "epoch": 7.698863636363637,
1903
+ "grad_norm": 1.3994140625,
1904
+ "learning_rate": 2.501250659485992e-05,
1905
+ "loss": 1.5769,
1906
+ "step": 2710
1907
+ },
1908
+ {
1909
+ "epoch": 7.7272727272727275,
1910
+ "grad_norm": 1.6845703125,
1911
+ "learning_rate": 2.4425042564574184e-05,
1912
+ "loss": 1.6105,
1913
+ "step": 2720
1914
+ },
1915
+ {
1916
+ "epoch": 7.755681818181818,
1917
+ "grad_norm": 1.5673828125,
1918
+ "learning_rate": 2.38435984366429e-05,
1919
+ "loss": 1.5196,
1920
+ "step": 2730
1921
+ },
1922
+ {
1923
+ "epoch": 7.784090909090909,
1924
+ "grad_norm": 2.056640625,
1925
+ "learning_rate": 2.3268220525837437e-05,
1926
+ "loss": 1.5696,
1927
+ "step": 2740
1928
+ },
1929
+ {
1930
+ "epoch": 7.8125,
1931
+ "grad_norm": 1.521484375,
1932
+ "learning_rate": 2.26989546637263e-05,
1933
+ "loss": 1.5564,
1934
+ "step": 2750
1935
+ },
1936
+ {
1937
+ "epoch": 7.840909090909091,
1938
+ "grad_norm": 1.744140625,
1939
+ "learning_rate": 2.2135846195024513e-05,
1940
+ "loss": 1.5608,
1941
+ "step": 2760
1942
+ },
1943
+ {
1944
+ "epoch": 7.869318181818182,
1945
+ "grad_norm": 1.6572265625,
1946
+ "learning_rate": 2.157893997398146e-05,
1947
+ "loss": 1.5823,
1948
+ "step": 2770
1949
+ },
1950
+ {
1951
+ "epoch": 7.8977272727272725,
1952
+ "grad_norm": 1.552734375,
1953
+ "learning_rate": 2.1028280360808407e-05,
1954
+ "loss": 1.5475,
1955
+ "step": 2780
1956
+ },
1957
+ {
1958
+ "epoch": 7.926136363636363,
1959
+ "grad_norm": 1.919921875,
1960
+ "learning_rate": 2.0483911218144715e-05,
1961
+ "loss": 1.5616,
1962
+ "step": 2790
1963
+ },
1964
+ {
1965
+ "epoch": 7.954545454545455,
1966
+ "grad_norm": 1.5625,
1967
+ "learning_rate": 1.994587590756397e-05,
1968
+ "loss": 1.5512,
1969
+ "step": 2800
1970
+ },
1971
+ {
1972
+ "epoch": 7.982954545454545,
1973
+ "grad_norm": 1.666015625,
1974
+ "learning_rate": 1.941421728612023e-05,
1975
+ "loss": 1.6264,
1976
+ "step": 2810
1977
+ },
1978
+ {
1979
+ "epoch": 8.011363636363637,
1980
+ "grad_norm": 1.4365234375,
1981
+ "learning_rate": 1.8888977702934085e-05,
1982
+ "loss": 1.5251,
1983
+ "step": 2820
1984
+ },
1985
+ {
1986
+ "epoch": 8.039772727272727,
1987
+ "grad_norm": 1.52734375,
1988
+ "learning_rate": 1.837019899581943e-05,
1989
+ "loss": 1.5552,
1990
+ "step": 2830
1991
+ },
1992
+ {
1993
+ "epoch": 8.068181818181818,
1994
+ "grad_norm": 1.443359375,
1995
+ "learning_rate": 1.7857922487950874e-05,
1996
+ "loss": 1.5443,
1997
+ "step": 2840
1998
+ },
1999
+ {
2000
+ "epoch": 8.096590909090908,
2001
+ "grad_norm": 1.4052734375,
2002
+ "learning_rate": 1.7352188984572026e-05,
2003
+ "loss": 1.5339,
2004
+ "step": 2850
2005
+ },
2006
+ {
2007
+ "epoch": 8.125,
2008
+ "grad_norm": 1.7041015625,
2009
+ "learning_rate": 1.6853038769745467e-05,
2010
+ "loss": 1.5153,
2011
+ "step": 2860
2012
+ },
2013
+ {
2014
+ "epoch": 8.153409090909092,
2015
+ "grad_norm": 1.615234375,
2016
+ "learning_rate": 1.6360511603143648e-05,
2017
+ "loss": 1.5135,
2018
+ "step": 2870
2019
+ },
2020
+ {
2021
+ "epoch": 8.181818181818182,
2022
+ "grad_norm": 1.568359375,
2023
+ "learning_rate": 1.587464671688187e-05,
2024
+ "loss": 1.5008,
2025
+ "step": 2880
2026
+ },
2027
+ {
2028
+ "epoch": 8.210227272727273,
2029
+ "grad_norm": 1.654296875,
2030
+ "learning_rate": 1.5395482812393514e-05,
2031
+ "loss": 1.5273,
2032
+ "step": 2890
2033
+ },
2034
+ {
2035
+ "epoch": 8.238636363636363,
2036
+ "grad_norm": 2.16015625,
2037
+ "learning_rate": 1.4923058057346929e-05,
2038
+ "loss": 1.548,
2039
+ "step": 2900
2040
+ },
2041
+ {
2042
+ "epoch": 8.267045454545455,
2043
+ "grad_norm": 1.5595703125,
2044
+ "learning_rate": 1.4457410082605483e-05,
2045
+ "loss": 1.516,
2046
+ "step": 2910
2047
+ },
2048
+ {
2049
+ "epoch": 8.295454545454545,
2050
+ "grad_norm": 1.5810546875,
2051
+ "learning_rate": 1.3998575979229944e-05,
2052
+ "loss": 1.5658,
2053
+ "step": 2920
2054
+ },
2055
+ {
2056
+ "epoch": 8.323863636363637,
2057
+ "grad_norm": 1.5517578125,
2058
+ "learning_rate": 1.3546592295524074e-05,
2059
+ "loss": 1.5368,
2060
+ "step": 2930
2061
+ },
2062
+ {
2063
+ "epoch": 8.352272727272727,
2064
+ "grad_norm": 1.4638671875,
2065
+ "learning_rate": 1.3101495034123313e-05,
2066
+ "loss": 1.5138,
2067
+ "step": 2940
2068
+ },
2069
+ {
2070
+ "epoch": 8.380681818181818,
2071
+ "grad_norm": 1.9521484375,
2072
+ "learning_rate": 1.2663319649127026e-05,
2073
+ "loss": 1.5193,
2074
+ "step": 2950
2075
+ },
2076
+ {
2077
+ "epoch": 8.409090909090908,
2078
+ "grad_norm": 1.3642578125,
2079
+ "learning_rate": 1.2232101043274436e-05,
2080
+ "loss": 1.5136,
2081
+ "step": 2960
2082
+ },
2083
+ {
2084
+ "epoch": 8.4375,
2085
+ "grad_norm": 1.376953125,
2086
+ "learning_rate": 1.1807873565164506e-05,
2087
+ "loss": 1.487,
2088
+ "step": 2970
2089
+ },
2090
+ {
2091
+ "epoch": 8.465909090909092,
2092
+ "grad_norm": 1.869140625,
2093
+ "learning_rate": 1.139067100651976e-05,
2094
+ "loss": 1.6046,
2095
+ "step": 2980
2096
+ },
2097
+ {
2098
+ "epoch": 8.494318181818182,
2099
+ "grad_norm": 1.9716796875,
2100
+ "learning_rate": 1.0980526599494733e-05,
2101
+ "loss": 1.5021,
2102
+ "step": 2990
2103
+ },
2104
+ {
2105
+ "epoch": 8.522727272727273,
2106
+ "grad_norm": 1.427734375,
2107
+ "learning_rate": 1.057747301402887e-05,
2108
+ "loss": 1.5226,
2109
+ "step": 3000
2110
+ },
2111
+ {
2112
+ "epoch": 8.551136363636363,
2113
+ "grad_norm": 2.681640625,
2114
+ "learning_rate": 1.0181542355244167e-05,
2115
+ "loss": 1.5702,
2116
+ "step": 3010
2117
+ },
2118
+ {
2119
+ "epoch": 8.579545454545455,
2120
+ "grad_norm": 1.568359375,
2121
+ "learning_rate": 9.792766160887868e-06,
2122
+ "loss": 1.5281,
2123
+ "step": 3020
2124
+ },
2125
+ {
2126
+ "epoch": 8.607954545454545,
2127
+ "grad_norm": 1.7783203125,
2128
+ "learning_rate": 9.411175398820271e-06,
2129
+ "loss": 1.5334,
2130
+ "step": 3030
2131
+ },
2132
+ {
2133
+ "epoch": 8.636363636363637,
2134
+ "grad_norm": 1.3994140625,
2135
+ "learning_rate": 9.036800464548157e-06,
2136
+ "loss": 1.5025,
2137
+ "step": 3040
2138
+ },
2139
+ {
2140
+ "epoch": 8.664772727272727,
2141
+ "grad_norm": 1.4384765625,
2142
+ "learning_rate": 8.669671178803485e-06,
2143
+ "loss": 1.6133,
2144
+ "step": 3050
2145
+ },
2146
+ {
2147
+ "epoch": 8.693181818181818,
2148
+ "grad_norm": 1.6689453125,
2149
+ "learning_rate": 8.309816785168034e-06,
2150
+ "loss": 1.4961,
2151
+ "step": 3060
2152
+ },
2153
+ {
2154
+ "epoch": 8.721590909090908,
2155
+ "grad_norm": 1.4951171875,
2156
+ "learning_rate": 7.95726594774413e-06,
2157
+ "loss": 1.5019,
2158
+ "step": 3070
2159
+ },
2160
+ {
2161
+ "epoch": 8.75,
2162
+ "grad_norm": 1.66796875,
2163
+ "learning_rate": 7.612046748871327e-06,
2164
+ "loss": 1.4871,
2165
+ "step": 3080
2166
+ },
2167
+ {
2168
+ "epoch": 8.778409090909092,
2169
+ "grad_norm": 1.859375,
2170
+ "learning_rate": 7.2741866868895395e-06,
2171
+ "loss": 1.5037,
2172
+ "step": 3090
2173
+ },
2174
+ {
2175
+ "epoch": 8.806818181818182,
2176
+ "grad_norm": 1.6630859375,
2177
+ "learning_rate": 6.943712673948644e-06,
2178
+ "loss": 1.5642,
2179
+ "step": 3100
2180
+ },
2181
+ {
2182
+ "epoch": 8.835227272727273,
2183
+ "grad_norm": 1.6640625,
2184
+ "learning_rate": 6.620651033864844e-06,
2185
+ "loss": 1.5448,
2186
+ "step": 3110
2187
+ },
2188
+ {
2189
+ "epoch": 8.863636363636363,
2190
+ "grad_norm": 1.607421875,
2191
+ "learning_rate": 6.3050275000238414e-06,
2192
+ "loss": 1.5506,
2193
+ "step": 3120
2194
+ },
2195
+ {
2196
+ "epoch": 8.892045454545455,
2197
+ "grad_norm": 1.5,
2198
+ "learning_rate": 5.996867213330992e-06,
2199
+ "loss": 1.5726,
2200
+ "step": 3130
2201
+ },
2202
+ {
2203
+ "epoch": 8.920454545454545,
2204
+ "grad_norm": 1.669921875,
2205
+ "learning_rate": 5.696194720208792e-06,
2206
+ "loss": 1.5486,
2207
+ "step": 3140
2208
+ },
2209
+ {
2210
+ "epoch": 8.948863636363637,
2211
+ "grad_norm": 1.9248046875,
2212
+ "learning_rate": 5.403033970641647e-06,
2213
+ "loss": 1.5235,
2214
+ "step": 3150
2215
+ },
2216
+ {
2217
+ "epoch": 8.977272727272727,
2218
+ "grad_norm": 1.5751953125,
2219
+ "learning_rate": 5.1174083162680465e-06,
2220
+ "loss": 1.5525,
2221
+ "step": 3160
2222
+ },
2223
+ {
2224
+ "epoch": 9.005681818181818,
2225
+ "grad_norm": 1.46875,
2226
+ "learning_rate": 4.839340508520562e-06,
2227
+ "loss": 1.5572,
2228
+ "step": 3170
2229
+ },
2230
+ {
2231
+ "epoch": 9.034090909090908,
2232
+ "grad_norm": 1.6171875,
2233
+ "learning_rate": 4.568852696813619e-06,
2234
+ "loss": 1.5289,
2235
+ "step": 3180
2236
+ },
2237
+ {
2238
+ "epoch": 9.0625,
2239
+ "grad_norm": 1.5341796875,
2240
+ "learning_rate": 4.305966426779118e-06,
2241
+ "loss": 1.5175,
2242
+ "step": 3190
2243
+ },
2244
+ {
2245
+ "epoch": 9.090909090909092,
2246
+ "grad_norm": 1.6708984375,
2247
+ "learning_rate": 4.050702638550275e-06,
2248
+ "loss": 1.5103,
2249
+ "step": 3200
2250
+ },
2251
+ {
2252
+ "epoch": 9.119318181818182,
2253
+ "grad_norm": 1.697265625,
2254
+ "learning_rate": 3.8030816650935776e-06,
2255
+ "loss": 1.5117,
2256
+ "step": 3210
2257
+ },
2258
+ {
2259
+ "epoch": 9.147727272727273,
2260
+ "grad_norm": 1.548828125,
2261
+ "learning_rate": 3.5631232305893046e-06,
2262
+ "loss": 1.4877,
2263
+ "step": 3220
2264
+ },
2265
+ {
2266
+ "epoch": 9.176136363636363,
2267
+ "grad_norm": 1.6552734375,
2268
+ "learning_rate": 3.330846448860259e-06,
2269
+ "loss": 1.5132,
2270
+ "step": 3230
2271
+ },
2272
+ {
2273
+ "epoch": 9.204545454545455,
2274
+ "grad_norm": 1.5751953125,
2275
+ "learning_rate": 3.1062698218492724e-06,
2276
+ "loss": 1.488,
2277
+ "step": 3240
2278
+ },
2279
+ {
2280
+ "epoch": 9.232954545454545,
2281
+ "grad_norm": 1.9609375,
2282
+ "learning_rate": 2.889411238145545e-06,
2283
+ "loss": 1.5202,
2284
+ "step": 3250
2285
+ },
2286
+ {
2287
+ "epoch": 9.261363636363637,
2288
+ "grad_norm": 1.51953125,
2289
+ "learning_rate": 2.6802879715596585e-06,
2290
+ "loss": 1.5516,
2291
+ "step": 3260
2292
+ },
2293
+ {
2294
+ "epoch": 9.289772727272727,
2295
+ "grad_norm": 1.626953125,
2296
+ "learning_rate": 2.4789166797476228e-06,
2297
+ "loss": 1.4951,
2298
+ "step": 3270
2299
+ },
2300
+ {
2301
+ "epoch": 9.318181818181818,
2302
+ "grad_norm": 1.8134765625,
2303
+ "learning_rate": 2.2853134028840594e-06,
2304
+ "loss": 1.5397,
2305
+ "step": 3280
2306
+ },
2307
+ {
2308
+ "epoch": 9.346590909090908,
2309
+ "grad_norm": 1.62109375,
2310
+ "learning_rate": 2.0994935623844692e-06,
2311
+ "loss": 1.5236,
2312
+ "step": 3290
2313
+ },
2314
+ {
2315
+ "epoch": 9.375,
2316
+ "grad_norm": 1.3828125,
2317
+ "learning_rate": 1.921471959676957e-06,
2318
+ "loss": 1.4827,
2319
+ "step": 3300
2320
+ },
2321
+ {
2322
+ "epoch": 9.403409090909092,
2323
+ "grad_norm": 1.5693359375,
2324
+ "learning_rate": 1.751262775023077e-06,
2325
+ "loss": 1.5021,
2326
+ "step": 3310
2327
+ },
2328
+ {
2329
+ "epoch": 9.431818181818182,
2330
+ "grad_norm": 1.46484375,
2331
+ "learning_rate": 1.5888795663883904e-06,
2332
+ "loss": 1.4966,
2333
+ "step": 3320
2334
+ },
2335
+ {
2336
+ "epoch": 9.460227272727273,
2337
+ "grad_norm": 1.6455078125,
2338
+ "learning_rate": 1.4343352683625411e-06,
2339
+ "loss": 1.5455,
2340
+ "step": 3330
2341
+ },
2342
+ {
2343
+ "epoch": 9.488636363636363,
2344
+ "grad_norm": 1.666015625,
2345
+ "learning_rate": 1.2876421911288905e-06,
2346
+ "loss": 1.4876,
2347
+ "step": 3340
2348
+ },
2349
+ {
2350
+ "epoch": 9.517045454545455,
2351
+ "grad_norm": 1.6396484375,
2352
+ "learning_rate": 1.148812019483958e-06,
2353
+ "loss": 1.5912,
2354
+ "step": 3350
2355
+ },
2356
+ {
2357
+ "epoch": 9.545454545454545,
2358
+ "grad_norm": 2.1328125,
2359
+ "learning_rate": 1.0178558119067315e-06,
2360
+ "loss": 1.5355,
2361
+ "step": 3360
2362
+ },
2363
+ {
2364
+ "epoch": 9.573863636363637,
2365
+ "grad_norm": 2.03515625,
2366
+ "learning_rate": 8.947839996777285e-07,
2367
+ "loss": 1.5147,
2368
+ "step": 3370
2369
+ },
2370
+ {
2371
+ "epoch": 9.602272727272727,
2372
+ "grad_norm": 1.806640625,
2373
+ "learning_rate": 7.796063860481595e-07,
2374
+ "loss": 1.53,
2375
+ "step": 3380
2376
+ },
2377
+ {
2378
+ "epoch": 9.630681818181818,
2379
+ "grad_norm": 1.5048828125,
2380
+ "learning_rate": 6.723321454590092e-07,
2381
+ "loss": 1.5051,
2382
+ "step": 3390
2383
+ },
2384
+ {
2385
+ "epoch": 9.659090909090908,
2386
+ "grad_norm": 1.701171875,
2387
+ "learning_rate": 5.729698228102653e-07,
2388
+ "loss": 1.4818,
2389
+ "step": 3400
2390
+ },
2391
+ {
2392
+ "epoch": 9.6875,
2393
+ "grad_norm": 1.6064453125,
2394
+ "learning_rate": 4.815273327803182e-07,
2395
+ "loss": 1.5438,
2396
+ "step": 3410
2397
+ },
2398
+ {
2399
+ "epoch": 9.715909090909092,
2400
+ "grad_norm": 2.04296875,
2401
+ "learning_rate": 3.9801195919541014e-07,
2402
+ "loss": 1.551,
2403
+ "step": 3420
2404
+ },
2405
+ {
2406
+ "epoch": 9.744318181818182,
2407
+ "grad_norm": 1.8115234375,
2408
+ "learning_rate": 3.224303544495766e-07,
2409
+ "loss": 1.4888,
2410
+ "step": 3430
2411
+ },
2412
+ {
2413
+ "epoch": 9.772727272727273,
2414
+ "grad_norm": 1.923828125,
2415
+ "learning_rate": 2.547885389746485e-07,
2416
+ "loss": 1.5491,
2417
+ "step": 3440
2418
+ },
2419
+ {
2420
+ "epoch": 9.801136363636363,
2421
+ "grad_norm": 2.728515625,
2422
+ "learning_rate": 1.9509190076074657e-07,
2423
+ "loss": 1.5374,
2424
+ "step": 3450
2425
+ },
2426
+ {
2427
+ "epoch": 9.829545454545455,
2428
+ "grad_norm": 1.5556640625,
2429
+ "learning_rate": 1.4334519492711362e-07,
2430
+ "loss": 1.5385,
2431
+ "step": 3460
2432
+ },
2433
+ {
2434
+ "epoch": 9.857954545454545,
2435
+ "grad_norm": 1.5185546875,
2436
+ "learning_rate": 9.955254334328423e-08,
2437
+ "loss": 1.4884,
2438
+ "step": 3470
2439
+ },
2440
+ {
2441
+ "epoch": 9.886363636363637,
2442
+ "grad_norm": 1.48046875,
2443
+ "learning_rate": 6.37174343008251e-08,
2444
+ "loss": 1.5733,
2445
+ "step": 3480
2446
+ },
2447
+ {
2448
+ "epoch": 9.914772727272727,
2449
+ "grad_norm": 1.8115234375,
2450
+ "learning_rate": 3.584272223546847e-08,
2451
+ "loss": 1.5452,
2452
+ "step": 3490
2453
+ },
2454
+ {
2455
+ "epoch": 9.943181818181818,
2456
+ "grad_norm": 1.5380859375,
2457
+ "learning_rate": 1.593062749967178e-08,
2458
+ "loss": 1.5122,
2459
+ "step": 3500
2460
+ },
2461
+ {
2462
+ "epoch": 9.971590909090908,
2463
+ "grad_norm": 1.63671875,
2464
+ "learning_rate": 3.982736185859093e-09,
2465
+ "loss": 1.5273,
2466
+ "step": 3510
2467
+ },
2468
+ {
2469
+ "epoch": 10.0,
2470
+ "grad_norm": 1.5048828125,
2471
+ "learning_rate": 0.0,
2472
+ "loss": 1.5284,
2473
+ "step": 3520
2474
+ },
2475
+ {
2476
+ "epoch": 10.0,
2477
+ "step": 3520,
2478
+ "total_flos": 2.31165810180096e+17,
2479
+ "train_loss": 1.80265548852357,
2480
+ "train_runtime": 3529.4078,
2481
+ "train_samples_per_second": 3.989,
2482
+ "train_steps_per_second": 0.997
2483
+ }
2484
+ ],
2485
+ "logging_steps": 10,
2486
+ "max_steps": 3520,
2487
+ "num_input_tokens_seen": 0,
2488
+ "num_train_epochs": 10,
2489
+ "save_steps": 500,
2490
+ "total_flos": 2.31165810180096e+17,
2491
+ "train_batch_size": 1,
2492
+ "trial_name": null,
2493
+ "trial_params": null
2494
+ }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0c8f70a2336e796f9bdf612f758217ca987189ebd6979ab087cd39512f1d2566
3
  size 5048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b44ba095725710dadf4f5b58049664f468efcd16bf0f82f1eb07cc31fb95038e
3
  size 5048