sedrickkeh commited on
Commit
e26e1b5
·
verified ·
1 Parent(s): 64027d6

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +2226 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: mix_base_code_math_t_0_75
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # mix_base_code_math_t_0_75
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: mix_base_code_math_t_0_75
 
16
 
17
  # mix_base_code_math_t_0_75
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/mix_base_code_math_t_0_75 dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9952,
3
+ "total_flos": 312961936211968.0,
4
+ "train_loss": 0.6116033505934936,
5
+ "train_runtime": 29493.0805,
6
+ "train_samples_per_second": 1.017,
7
+ "train_steps_per_second": 0.011
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9952,
3
+ "total_flos": 312961936211968.0,
4
+ "train_loss": 0.6116033505934936,
5
+ "train_runtime": 29493.0805,
6
+ "train_samples_per_second": 1.017,
7
+ "train_steps_per_second": 0.011
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9952,
5
+ "eval_steps": 500,
6
+ "global_step": 312,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0096,
13
+ "grad_norm": 6.2944841384887695,
14
+ "learning_rate": 3.125e-07,
15
+ "loss": 1.0265,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0192,
20
+ "grad_norm": 6.261817932128906,
21
+ "learning_rate": 6.25e-07,
22
+ "loss": 1.0057,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.0288,
27
+ "grad_norm": 6.048126220703125,
28
+ "learning_rate": 9.375000000000001e-07,
29
+ "loss": 1.0008,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0384,
34
+ "grad_norm": 6.2389984130859375,
35
+ "learning_rate": 1.25e-06,
36
+ "loss": 0.9984,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.048,
41
+ "grad_norm": 5.99343204498291,
42
+ "learning_rate": 1.5625e-06,
43
+ "loss": 0.9975,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.0576,
48
+ "grad_norm": 5.678822994232178,
49
+ "learning_rate": 1.8750000000000003e-06,
50
+ "loss": 0.9607,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.0672,
55
+ "grad_norm": 4.678098678588867,
56
+ "learning_rate": 2.1875000000000002e-06,
57
+ "loss": 0.9757,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.0768,
62
+ "grad_norm": 4.243505954742432,
63
+ "learning_rate": 2.5e-06,
64
+ "loss": 0.9083,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.0864,
69
+ "grad_norm": 2.43308424949646,
70
+ "learning_rate": 2.8125e-06,
71
+ "loss": 0.9022,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.096,
76
+ "grad_norm": 2.4154136180877686,
77
+ "learning_rate": 3.125e-06,
78
+ "loss": 0.9135,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.1056,
83
+ "grad_norm": 2.2478554248809814,
84
+ "learning_rate": 3.4375e-06,
85
+ "loss": 0.8983,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.1152,
90
+ "grad_norm": 3.213982343673706,
91
+ "learning_rate": 3.7500000000000005e-06,
92
+ "loss": 0.8729,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.1248,
97
+ "grad_norm": 3.9511802196502686,
98
+ "learning_rate": 4.0625000000000005e-06,
99
+ "loss": 0.9055,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.1344,
104
+ "grad_norm": 3.8154666423797607,
105
+ "learning_rate": 4.3750000000000005e-06,
106
+ "loss": 0.8707,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.144,
111
+ "grad_norm": 3.459975481033325,
112
+ "learning_rate": 4.6875000000000004e-06,
113
+ "loss": 0.8631,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.1536,
118
+ "grad_norm": 2.4299709796905518,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.8467,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.1632,
125
+ "grad_norm": 2.4652292728424072,
126
+ "learning_rate": 5.3125e-06,
127
+ "loss": 0.8559,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.1728,
132
+ "grad_norm": 2.0541021823883057,
133
+ "learning_rate": 5.625e-06,
134
+ "loss": 0.826,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.1824,
139
+ "grad_norm": 1.7855989933013916,
140
+ "learning_rate": 5.9375e-06,
141
+ "loss": 0.7943,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.192,
146
+ "grad_norm": 1.5372544527053833,
147
+ "learning_rate": 6.25e-06,
148
+ "loss": 0.7867,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.2016,
153
+ "grad_norm": 1.342797040939331,
154
+ "learning_rate": 6.5625e-06,
155
+ "loss": 0.7834,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.2112,
160
+ "grad_norm": 1.3770509958267212,
161
+ "learning_rate": 6.875e-06,
162
+ "loss": 0.7868,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.2208,
167
+ "grad_norm": 1.3067494630813599,
168
+ "learning_rate": 7.1875e-06,
169
+ "loss": 0.7418,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.2304,
174
+ "grad_norm": 1.169503092765808,
175
+ "learning_rate": 7.500000000000001e-06,
176
+ "loss": 0.7465,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.24,
181
+ "grad_norm": 0.993989109992981,
182
+ "learning_rate": 7.8125e-06,
183
+ "loss": 0.7539,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.2496,
188
+ "grad_norm": 1.0650089979171753,
189
+ "learning_rate": 8.125000000000001e-06,
190
+ "loss": 0.745,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.2592,
195
+ "grad_norm": 1.1361355781555176,
196
+ "learning_rate": 8.4375e-06,
197
+ "loss": 0.7436,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.2688,
202
+ "grad_norm": 0.9510095119476318,
203
+ "learning_rate": 8.750000000000001e-06,
204
+ "loss": 0.7235,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.2784,
209
+ "grad_norm": 0.928550124168396,
210
+ "learning_rate": 9.0625e-06,
211
+ "loss": 0.7152,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.288,
216
+ "grad_norm": 0.9140353798866272,
217
+ "learning_rate": 9.375000000000001e-06,
218
+ "loss": 0.7189,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.2976,
223
+ "grad_norm": 0.9672402739524841,
224
+ "learning_rate": 9.6875e-06,
225
+ "loss": 0.6841,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.3072,
230
+ "grad_norm": 0.8036115169525146,
231
+ "learning_rate": 1e-05,
232
+ "loss": 0.7011,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.3168,
237
+ "grad_norm": 0.822393536567688,
238
+ "learning_rate": 9.999685283773504e-06,
239
+ "loss": 0.7023,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.3264,
244
+ "grad_norm": 0.7571423053741455,
245
+ "learning_rate": 9.998741174712534e-06,
246
+ "loss": 0.6653,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.336,
251
+ "grad_norm": 0.8241838812828064,
252
+ "learning_rate": 9.997167791667668e-06,
253
+ "loss": 0.685,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.3456,
258
+ "grad_norm": 0.7730281949043274,
259
+ "learning_rate": 9.994965332706574e-06,
260
+ "loss": 0.6926,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.3552,
265
+ "grad_norm": 0.713372528553009,
266
+ "learning_rate": 9.992134075089085e-06,
267
+ "loss": 0.7199,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.3648,
272
+ "grad_norm": 0.7029000520706177,
273
+ "learning_rate": 9.98867437523228e-06,
274
+ "loss": 0.7199,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.3744,
279
+ "grad_norm": 0.7670215964317322,
280
+ "learning_rate": 9.984586668665641e-06,
281
+ "loss": 0.6906,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.384,
286
+ "grad_norm": 0.6846963167190552,
287
+ "learning_rate": 9.979871469976197e-06,
288
+ "loss": 0.6521,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.3936,
293
+ "grad_norm": 0.6741933226585388,
294
+ "learning_rate": 9.974529372743762e-06,
295
+ "loss": 0.6861,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.4032,
300
+ "grad_norm": 0.6933429837226868,
301
+ "learning_rate": 9.968561049466214e-06,
302
+ "loss": 0.6681,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.4128,
307
+ "grad_norm": 0.7184209227561951,
308
+ "learning_rate": 9.961967251474823e-06,
309
+ "loss": 0.676,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.4224,
314
+ "grad_norm": 0.6944095492362976,
315
+ "learning_rate": 9.954748808839675e-06,
316
+ "loss": 0.6803,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.432,
321
+ "grad_norm": 0.664179801940918,
322
+ "learning_rate": 9.946906630265184e-06,
323
+ "loss": 0.6705,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.4416,
328
+ "grad_norm": 0.6152117252349854,
329
+ "learning_rate": 9.938441702975689e-06,
330
+ "loss": 0.7002,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.4512,
335
+ "grad_norm": 0.6948118805885315,
336
+ "learning_rate": 9.92935509259118e-06,
337
+ "loss": 0.6463,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.4608,
342
+ "grad_norm": 0.5532994270324707,
343
+ "learning_rate": 9.91964794299315e-06,
344
+ "loss": 0.6628,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.4704,
349
+ "grad_norm": 0.635856568813324,
350
+ "learning_rate": 9.909321476180594e-06,
351
+ "loss": 0.6417,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.48,
356
+ "grad_norm": 0.766160249710083,
357
+ "learning_rate": 9.898376992116179e-06,
358
+ "loss": 0.6774,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.4896,
363
+ "grad_norm": 0.5958895683288574,
364
+ "learning_rate": 9.886815868562596e-06,
365
+ "loss": 0.6737,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.4992,
370
+ "grad_norm": 0.7605820298194885,
371
+ "learning_rate": 9.874639560909118e-06,
372
+ "loss": 0.682,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.5088,
377
+ "grad_norm": 0.6079903841018677,
378
+ "learning_rate": 9.861849601988384e-06,
379
+ "loss": 0.6683,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.5184,
384
+ "grad_norm": 0.561535120010376,
385
+ "learning_rate": 9.848447601883436e-06,
386
+ "loss": 0.636,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.528,
391
+ "grad_norm": 0.7909425497055054,
392
+ "learning_rate": 9.834435247725032e-06,
393
+ "loss": 0.6805,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.5376,
398
+ "grad_norm": 0.5663748383522034,
399
+ "learning_rate": 9.819814303479268e-06,
400
+ "loss": 0.6687,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.5472,
405
+ "grad_norm": 0.6579152941703796,
406
+ "learning_rate": 9.804586609725499e-06,
407
+ "loss": 0.6715,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.5568,
412
+ "grad_norm": 0.6015044450759888,
413
+ "learning_rate": 9.788754083424654e-06,
414
+ "loss": 0.6472,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.5664,
419
+ "grad_norm": 0.6228909492492676,
420
+ "learning_rate": 9.772318717677905e-06,
421
+ "loss": 0.6436,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.576,
426
+ "grad_norm": 0.5659533739089966,
427
+ "learning_rate": 9.755282581475769e-06,
428
+ "loss": 0.6464,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.5856,
433
+ "grad_norm": 0.5795664191246033,
434
+ "learning_rate": 9.737647819437645e-06,
435
+ "loss": 0.6675,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.5952,
440
+ "grad_norm": 0.58271723985672,
441
+ "learning_rate": 9.719416651541839e-06,
442
+ "loss": 0.6503,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.6048,
447
+ "grad_norm": 0.5349075198173523,
448
+ "learning_rate": 9.700591372846096e-06,
449
+ "loss": 0.6445,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.6144,
454
+ "grad_norm": 0.5833298563957214,
455
+ "learning_rate": 9.681174353198687e-06,
456
+ "loss": 0.6297,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.624,
461
+ "grad_norm": 0.5726664066314697,
462
+ "learning_rate": 9.661168036940071e-06,
463
+ "loss": 0.6752,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.6336,
468
+ "grad_norm": 0.5394296646118164,
469
+ "learning_rate": 9.640574942595195e-06,
470
+ "loss": 0.6437,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.6432,
475
+ "grad_norm": 0.5713369846343994,
476
+ "learning_rate": 9.619397662556434e-06,
477
+ "loss": 0.6894,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.6528,
482
+ "grad_norm": 0.5965147614479065,
483
+ "learning_rate": 9.597638862757255e-06,
484
+ "loss": 0.6406,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.6624,
489
+ "grad_norm": 0.5532094240188599,
490
+ "learning_rate": 9.5753012823366e-06,
491
+ "loss": 0.6221,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.672,
496
+ "grad_norm": 0.5668460726737976,
497
+ "learning_rate": 9.552387733294081e-06,
498
+ "loss": 0.6503,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.6816,
503
+ "grad_norm": 0.5831488966941833,
504
+ "learning_rate": 9.528901100135971e-06,
505
+ "loss": 0.6564,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.6912,
510
+ "grad_norm": 0.6880363821983337,
511
+ "learning_rate": 9.504844339512096e-06,
512
+ "loss": 0.6607,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.7008,
517
+ "grad_norm": 0.5172518491744995,
518
+ "learning_rate": 9.480220479843627e-06,
519
+ "loss": 0.6542,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.7104,
524
+ "grad_norm": 0.5872878432273865,
525
+ "learning_rate": 9.45503262094184e-06,
526
+ "loss": 0.6654,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.72,
531
+ "grad_norm": 0.6247705817222595,
532
+ "learning_rate": 9.4292839336179e-06,
533
+ "loss": 0.6524,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.7296,
538
+ "grad_norm": 0.5679057836532593,
539
+ "learning_rate": 9.40297765928369e-06,
540
+ "loss": 0.6422,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.7392,
545
+ "grad_norm": 0.5778680443763733,
546
+ "learning_rate": 9.376117109543769e-06,
547
+ "loss": 0.6439,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.7488,
552
+ "grad_norm": 0.5653820633888245,
553
+ "learning_rate": 9.348705665778479e-06,
554
+ "loss": 0.6406,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.7584,
559
+ "grad_norm": 0.5885083079338074,
560
+ "learning_rate": 9.320746778718274e-06,
561
+ "loss": 0.6251,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.768,
566
+ "grad_norm": 0.567931592464447,
567
+ "learning_rate": 9.292243968009332e-06,
568
+ "loss": 0.6287,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.7776,
573
+ "grad_norm": 0.5375138521194458,
574
+ "learning_rate": 9.263200821770462e-06,
575
+ "loss": 0.632,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.7872,
580
+ "grad_norm": 0.6063922643661499,
581
+ "learning_rate": 9.233620996141421e-06,
582
+ "loss": 0.6545,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.7968,
587
+ "grad_norm": 0.5123437643051147,
588
+ "learning_rate": 9.203508214822652e-06,
589
+ "loss": 0.6306,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.8064,
594
+ "grad_norm": 0.5764344334602356,
595
+ "learning_rate": 9.172866268606514e-06,
596
+ "loss": 0.6223,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.816,
601
+ "grad_norm": 0.6248758435249329,
602
+ "learning_rate": 9.141699014900084e-06,
603
+ "loss": 0.6647,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.8256,
608
+ "grad_norm": 0.6314254999160767,
609
+ "learning_rate": 9.110010377239552e-06,
610
+ "loss": 0.6681,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.8352,
615
+ "grad_norm": 0.6592370867729187,
616
+ "learning_rate": 9.077804344796302e-06,
617
+ "loss": 0.6452,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.8448,
622
+ "grad_norm": 0.599755585193634,
623
+ "learning_rate": 9.045084971874738e-06,
624
+ "loss": 0.6397,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.8544,
629
+ "grad_norm": 0.6832008957862854,
630
+ "learning_rate": 9.011856377401891e-06,
631
+ "loss": 0.6696,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.864,
636
+ "grad_norm": 0.6271616220474243,
637
+ "learning_rate": 8.978122744408905e-06,
638
+ "loss": 0.6499,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.8736,
643
+ "grad_norm": 0.5687711238861084,
644
+ "learning_rate": 8.943888319504456e-06,
645
+ "loss": 0.6374,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.8832,
650
+ "grad_norm": 0.6185305714607239,
651
+ "learning_rate": 8.90915741234015e-06,
652
+ "loss": 0.6274,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.8928,
657
+ "grad_norm": 0.6857321262359619,
658
+ "learning_rate": 8.873934395068006e-06,
659
+ "loss": 0.6345,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.9024,
664
+ "grad_norm": 0.5555843710899353,
665
+ "learning_rate": 8.838223701790057e-06,
666
+ "loss": 0.6189,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.912,
671
+ "grad_norm": 0.5853341221809387,
672
+ "learning_rate": 8.802029828000157e-06,
673
+ "loss": 0.6121,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.9216,
678
+ "grad_norm": 0.6267306804656982,
679
+ "learning_rate": 8.765357330018056e-06,
680
+ "loss": 0.6638,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.9312,
685
+ "grad_norm": 0.5644423961639404,
686
+ "learning_rate": 8.728210824415829e-06,
687
+ "loss": 0.6404,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.9408,
692
+ "grad_norm": 0.6241409778594971,
693
+ "learning_rate": 8.690594987436705e-06,
694
+ "loss": 0.6537,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.9504,
699
+ "grad_norm": 0.5932403206825256,
700
+ "learning_rate": 8.652514554406388e-06,
701
+ "loss": 0.655,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.96,
706
+ "grad_norm": 0.5342922210693359,
707
+ "learning_rate": 8.613974319136959e-06,
708
+ "loss": 0.6456,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.9696,
713
+ "grad_norm": 0.6301948428153992,
714
+ "learning_rate": 8.574979133323378e-06,
715
+ "loss": 0.6164,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.9792,
720
+ "grad_norm": 0.5069014430046082,
721
+ "learning_rate": 8.535533905932739e-06,
722
+ "loss": 0.6365,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.9888,
727
+ "grad_norm": 0.7131555080413818,
728
+ "learning_rate": 8.495643602586287e-06,
729
+ "loss": 0.6633,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.9984,
734
+ "grad_norm": 0.5053462982177734,
735
+ "learning_rate": 8.455313244934324e-06,
736
+ "loss": 0.6223,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 1.008,
741
+ "grad_norm": 1.445302128791809,
742
+ "learning_rate": 8.414547910024035e-06,
743
+ "loss": 1.0996,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 1.0176,
748
+ "grad_norm": 0.605025589466095,
749
+ "learning_rate": 8.373352729660373e-06,
750
+ "loss": 0.5613,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 1.0272,
755
+ "grad_norm": 0.5477588176727295,
756
+ "learning_rate": 8.331732889760021e-06,
757
+ "loss": 0.6005,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 1.0368,
762
+ "grad_norm": 0.6136167049407959,
763
+ "learning_rate": 8.289693629698564e-06,
764
+ "loss": 0.5986,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 1.0464,
769
+ "grad_norm": 0.5717005133628845,
770
+ "learning_rate": 8.247240241650918e-06,
771
+ "loss": 0.5701,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 1.056,
776
+ "grad_norm": 0.5678885579109192,
777
+ "learning_rate": 8.204378069925121e-06,
778
+ "loss": 0.6099,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 1.0656,
783
+ "grad_norm": 0.515852689743042,
784
+ "learning_rate": 8.16111251028955e-06,
785
+ "loss": 0.5727,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 1.0752,
790
+ "grad_norm": 0.5165748596191406,
791
+ "learning_rate": 8.117449009293668e-06,
792
+ "loss": 0.557,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 1.0848,
797
+ "grad_norm": 0.6090772151947021,
798
+ "learning_rate": 8.073393063582386e-06,
799
+ "loss": 0.5926,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 1.0944,
804
+ "grad_norm": 0.5668388605117798,
805
+ "learning_rate": 8.0289502192041e-06,
806
+ "loss": 0.5784,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 1.104,
811
+ "grad_norm": 0.571506679058075,
812
+ "learning_rate": 7.984126070912519e-06,
813
+ "loss": 0.6301,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 1.1136,
818
+ "grad_norm": 0.5189209580421448,
819
+ "learning_rate": 7.938926261462366e-06,
820
+ "loss": 0.5324,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 1.1232,
825
+ "grad_norm": 0.5037117004394531,
826
+ "learning_rate": 7.89335648089903e-06,
827
+ "loss": 0.5836,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 1.1328,
832
+ "grad_norm": 0.5364065170288086,
833
+ "learning_rate": 7.84742246584226e-06,
834
+ "loss": 0.5625,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 1.1424,
839
+ "grad_norm": 0.6278241872787476,
840
+ "learning_rate": 7.801129998764014e-06,
841
+ "loss": 0.5764,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 1.152,
846
+ "grad_norm": 0.5745953917503357,
847
+ "learning_rate": 7.754484907260513e-06,
848
+ "loss": 0.6015,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 1.1616,
853
+ "grad_norm": 0.5853832960128784,
854
+ "learning_rate": 7.70749306331863e-06,
855
+ "loss": 0.591,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 1.1712,
860
+ "grad_norm": 0.5691282153129578,
861
+ "learning_rate": 7.660160382576683e-06,
862
+ "loss": 0.5772,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 1.1808,
867
+ "grad_norm": 0.4796733260154724,
868
+ "learning_rate": 7.612492823579744e-06,
869
+ "loss": 0.5646,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 1.1904,
874
+ "grad_norm": 0.5633418560028076,
875
+ "learning_rate": 7.564496387029532e-06,
876
+ "loss": 0.6268,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 1.2,
881
+ "grad_norm": 0.5098775029182434,
882
+ "learning_rate": 7.516177115029002e-06,
883
+ "loss": 0.5387,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 1.2096,
888
+ "grad_norm": 0.4989281892776489,
889
+ "learning_rate": 7.467541090321735e-06,
890
+ "loss": 0.599,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 1.2192,
895
+ "grad_norm": 0.5478797554969788,
896
+ "learning_rate": 7.4185944355261996e-06,
897
+ "loss": 0.5541,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 1.2288000000000001,
902
+ "grad_norm": 0.588407039642334,
903
+ "learning_rate": 7.369343312364994e-06,
904
+ "loss": 0.6224,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 1.2384,
909
+ "grad_norm": 0.5483384728431702,
910
+ "learning_rate": 7.319793920889171e-06,
911
+ "loss": 0.5626,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 1.248,
916
+ "grad_norm": 0.6058452725410461,
917
+ "learning_rate": 7.269952498697734e-06,
918
+ "loss": 0.6336,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 1.2576,
923
+ "grad_norm": 0.5169090628623962,
924
+ "learning_rate": 7.219825320152411e-06,
925
+ "loss": 0.5884,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 1.2671999999999999,
930
+ "grad_norm": 0.5238736867904663,
931
+ "learning_rate": 7.169418695587791e-06,
932
+ "loss": 0.5409,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 1.2768,
937
+ "grad_norm": 0.6074072122573853,
938
+ "learning_rate": 7.118738970516944e-06,
939
+ "loss": 0.6037,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 1.2864,
944
+ "grad_norm": 0.446067750453949,
945
+ "learning_rate": 7.067792524832604e-06,
946
+ "loss": 0.5229,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 1.296,
951
+ "grad_norm": 0.6598799824714661,
952
+ "learning_rate": 7.016585772004026e-06,
953
+ "loss": 0.6079,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 1.3056,
958
+ "grad_norm": 0.6147785782814026,
959
+ "learning_rate": 6.965125158269619e-06,
960
+ "loss": 0.6333,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 1.3152,
965
+ "grad_norm": 0.506599485874176,
966
+ "learning_rate": 6.913417161825449e-06,
967
+ "loss": 0.5664,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 1.3248,
972
+ "grad_norm": 0.5260503888130188,
973
+ "learning_rate": 6.8614682920097265e-06,
974
+ "loss": 0.5631,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 1.3344,
979
+ "grad_norm": 0.5902073979377747,
980
+ "learning_rate": 6.809285088483361e-06,
981
+ "loss": 0.6112,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 1.3439999999999999,
986
+ "grad_norm": 0.47030794620513916,
987
+ "learning_rate": 6.7568741204067145e-06,
988
+ "loss": 0.5739,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 1.3536000000000001,
993
+ "grad_norm": 0.5535953640937805,
994
+ "learning_rate": 6.704241985612625e-06,
995
+ "loss": 0.5579,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 1.3632,
1000
+ "grad_norm": 0.5441429018974304,
1001
+ "learning_rate": 6.651395309775837e-06,
1002
+ "loss": 0.6087,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 1.3728,
1007
+ "grad_norm": 0.5218523740768433,
1008
+ "learning_rate": 6.598340745578908e-06,
1009
+ "loss": 0.5783,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 1.3824,
1014
+ "grad_norm": 0.49848422408103943,
1015
+ "learning_rate": 6.545084971874738e-06,
1016
+ "loss": 0.583,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 1.392,
1021
+ "grad_norm": 0.5394670367240906,
1022
+ "learning_rate": 6.491634692845781e-06,
1023
+ "loss": 0.6202,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 1.4016,
1028
+ "grad_norm": 0.4939243793487549,
1029
+ "learning_rate": 6.437996637160086e-06,
1030
+ "loss": 0.5437,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 1.4112,
1035
+ "grad_norm": 0.49003490805625916,
1036
+ "learning_rate": 6.384177557124247e-06,
1037
+ "loss": 0.6121,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 1.4208,
1042
+ "grad_norm": 0.48296260833740234,
1043
+ "learning_rate": 6.330184227833376e-06,
1044
+ "loss": 0.5696,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 1.4304000000000001,
1049
+ "grad_norm": 0.5095104575157166,
1050
+ "learning_rate": 6.276023446318214e-06,
1051
+ "loss": 0.6269,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 1.44,
1056
+ "grad_norm": 0.4607343375682831,
1057
+ "learning_rate": 6.2217020306894705e-06,
1058
+ "loss": 0.5727,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 1.4496,
1063
+ "grad_norm": 0.45730894804000854,
1064
+ "learning_rate": 6.1672268192795285e-06,
1065
+ "loss": 0.5589,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 1.4592,
1070
+ "grad_norm": 0.4680177569389343,
1071
+ "learning_rate": 6.112604669781572e-06,
1072
+ "loss": 0.5476,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 1.4687999999999999,
1077
+ "grad_norm": 0.5357135534286499,
1078
+ "learning_rate": 6.057842458386315e-06,
1079
+ "loss": 0.6474,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 1.4784,
1084
+ "grad_norm": 0.5005162358283997,
1085
+ "learning_rate": 6.002947078916365e-06,
1086
+ "loss": 0.5268,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 1.488,
1091
+ "grad_norm": 0.4949341118335724,
1092
+ "learning_rate": 5.947925441958393e-06,
1093
+ "loss": 0.5528,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 1.4976,
1098
+ "grad_norm": 0.4929472804069519,
1099
+ "learning_rate": 5.892784473993184e-06,
1100
+ "loss": 0.5785,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 1.5072,
1105
+ "grad_norm": 0.5368454456329346,
1106
+ "learning_rate": 5.837531116523683e-06,
1107
+ "loss": 0.6097,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 1.5168,
1112
+ "grad_norm": 0.580466628074646,
1113
+ "learning_rate": 5.782172325201155e-06,
1114
+ "loss": 0.5839,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 1.5264,
1119
+ "grad_norm": 0.5195851922035217,
1120
+ "learning_rate": 5.726715068949564e-06,
1121
+ "loss": 0.5234,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 1.536,
1126
+ "grad_norm": 0.6399260759353638,
1127
+ "learning_rate": 5.671166329088278e-06,
1128
+ "loss": 0.6137,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 1.5455999999999999,
1133
+ "grad_norm": 0.4763248860836029,
1134
+ "learning_rate": 5.615533098453215e-06,
1135
+ "loss": 0.5787,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 1.5552000000000001,
1140
+ "grad_norm": 0.5006374716758728,
1141
+ "learning_rate": 5.559822380516539e-06,
1142
+ "loss": 0.5274,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 1.5648,
1147
+ "grad_norm": 0.5833279490470886,
1148
+ "learning_rate": 5.504041188505022e-06,
1149
+ "loss": 0.6125,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 1.5744,
1154
+ "grad_norm": 0.48551830649375916,
1155
+ "learning_rate": 5.448196544517168e-06,
1156
+ "loss": 0.6128,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 1.584,
1161
+ "grad_norm": 0.5455009341239929,
1162
+ "learning_rate": 5.392295478639226e-06,
1163
+ "loss": 0.5653,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 1.5936,
1168
+ "grad_norm": 0.5103030800819397,
1169
+ "learning_rate": 5.336345028060199e-06,
1170
+ "loss": 0.6492,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 1.6032,
1175
+ "grad_norm": 0.557127833366394,
1176
+ "learning_rate": 5.2803522361859596e-06,
1177
+ "loss": 0.5357,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 1.6128,
1182
+ "grad_norm": 0.49870356917381287,
1183
+ "learning_rate": 5.224324151752575e-06,
1184
+ "loss": 0.5971,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 1.6223999999999998,
1189
+ "grad_norm": 0.43568363785743713,
1190
+ "learning_rate": 5.168267827938971e-06,
1191
+ "loss": 0.5439,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 1.6320000000000001,
1196
+ "grad_norm": 0.5349757075309753,
1197
+ "learning_rate": 5.112190321479026e-06,
1198
+ "loss": 0.5737,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 1.6416,
1203
+ "grad_norm": 0.5567549467086792,
1204
+ "learning_rate": 5.05609869177323e-06,
1205
+ "loss": 0.6446,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 1.6512,
1210
+ "grad_norm": 0.4268059730529785,
1211
+ "learning_rate": 5e-06,
1212
+ "loss": 0.5168,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 1.6608,
1217
+ "grad_norm": 0.5026167631149292,
1218
+ "learning_rate": 4.943901308226771e-06,
1219
+ "loss": 0.6265,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 1.6703999999999999,
1224
+ "grad_norm": 0.41909241676330566,
1225
+ "learning_rate": 4.887809678520976e-06,
1226
+ "loss": 0.5317,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 1.6800000000000002,
1231
+ "grad_norm": 0.47246718406677246,
1232
+ "learning_rate": 4.831732172061032e-06,
1233
+ "loss": 0.5649,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 1.6896,
1238
+ "grad_norm": 0.4850209951400757,
1239
+ "learning_rate": 4.775675848247427e-06,
1240
+ "loss": 0.5611,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 1.6992,
1245
+ "grad_norm": 0.4260648190975189,
1246
+ "learning_rate": 4.719647763814041e-06,
1247
+ "loss": 0.5731,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 1.7088,
1252
+ "grad_norm": 0.46243417263031006,
1253
+ "learning_rate": 4.663654971939802e-06,
1254
+ "loss": 0.5747,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 1.7184,
1259
+ "grad_norm": 0.4310469627380371,
1260
+ "learning_rate": 4.6077045213607765e-06,
1261
+ "loss": 0.5509,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 1.728,
1266
+ "grad_norm": 0.5433486104011536,
1267
+ "learning_rate": 4.551803455482833e-06,
1268
+ "loss": 0.6075,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 1.7376,
1273
+ "grad_norm": 0.4814201891422272,
1274
+ "learning_rate": 4.4959588114949785e-06,
1275
+ "loss": 0.6185,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 1.7471999999999999,
1280
+ "grad_norm": 0.4939287602901459,
1281
+ "learning_rate": 4.4401776194834615e-06,
1282
+ "loss": 0.5572,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 1.7568000000000001,
1287
+ "grad_norm": 0.48393356800079346,
1288
+ "learning_rate": 4.384466901546786e-06,
1289
+ "loss": 0.5778,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 1.7664,
1294
+ "grad_norm": 0.44161245226860046,
1295
+ "learning_rate": 4.3288336709117246e-06,
1296
+ "loss": 0.5546,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 1.776,
1301
+ "grad_norm": 0.5093246698379517,
1302
+ "learning_rate": 4.273284931050438e-06,
1303
+ "loss": 0.5712,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 1.7856,
1308
+ "grad_norm": 0.46280810236930847,
1309
+ "learning_rate": 4.217827674798845e-06,
1310
+ "loss": 0.5479,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 1.7952,
1315
+ "grad_norm": 0.654803454875946,
1316
+ "learning_rate": 4.162468883476319e-06,
1317
+ "loss": 0.6766,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 1.8048,
1322
+ "grad_norm": 0.48899897933006287,
1323
+ "learning_rate": 4.107215526006818e-06,
1324
+ "loss": 0.5681,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 1.8144,
1329
+ "grad_norm": 0.48702487349510193,
1330
+ "learning_rate": 4.052074558041608e-06,
1331
+ "loss": 0.6134,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 1.8239999999999998,
1336
+ "grad_norm": 0.44153550267219543,
1337
+ "learning_rate": 3.997052921083637e-06,
1338
+ "loss": 0.5429,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 1.8336000000000001,
1343
+ "grad_norm": 0.5268108248710632,
1344
+ "learning_rate": 3.9421575416136866e-06,
1345
+ "loss": 0.5738,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 1.8432,
1350
+ "grad_norm": 0.4569060802459717,
1351
+ "learning_rate": 3.887395330218429e-06,
1352
+ "loss": 0.5194,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 1.8528,
1357
+ "grad_norm": 0.46703416109085083,
1358
+ "learning_rate": 3.832773180720475e-06,
1359
+ "loss": 0.6334,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 1.8624,
1364
+ "grad_norm": 0.43373048305511475,
1365
+ "learning_rate": 3.778297969310529e-06,
1366
+ "loss": 0.566,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 1.8719999999999999,
1371
+ "grad_norm": 0.4687662720680237,
1372
+ "learning_rate": 3.723976553681787e-06,
1373
+ "loss": 0.5649,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 1.8816000000000002,
1378
+ "grad_norm": 0.501291036605835,
1379
+ "learning_rate": 3.669815772166625e-06,
1380
+ "loss": 0.6314,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 1.8912,
1385
+ "grad_norm": 0.45364248752593994,
1386
+ "learning_rate": 3.6158224428757538e-06,
1387
+ "loss": 0.5467,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 1.9008,
1392
+ "grad_norm": 0.4657815098762512,
1393
+ "learning_rate": 3.562003362839914e-06,
1394
+ "loss": 0.545,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 1.9104,
1399
+ "grad_norm": 0.4723939299583435,
1400
+ "learning_rate": 3.50836530715422e-06,
1401
+ "loss": 0.584,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 1.92,
1406
+ "grad_norm": 0.5213126540184021,
1407
+ "learning_rate": 3.4549150281252635e-06,
1408
+ "loss": 0.641,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 1.9296,
1413
+ "grad_norm": 0.42041918635368347,
1414
+ "learning_rate": 3.4016592544210937e-06,
1415
+ "loss": 0.5352,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 1.9392,
1420
+ "grad_norm": 0.48415398597717285,
1421
+ "learning_rate": 3.3486046902241663e-06,
1422
+ "loss": 0.5842,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 1.9487999999999999,
1427
+ "grad_norm": 0.4329238831996918,
1428
+ "learning_rate": 3.295758014387375e-06,
1429
+ "loss": 0.5228,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 1.9584000000000001,
1434
+ "grad_norm": 0.44082117080688477,
1435
+ "learning_rate": 3.2431258795932863e-06,
1436
+ "loss": 0.5502,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 1.968,
1441
+ "grad_norm": 0.474412739276886,
1442
+ "learning_rate": 3.1907149115166403e-06,
1443
+ "loss": 0.6056,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 1.9776,
1448
+ "grad_norm": 0.519351065158844,
1449
+ "learning_rate": 3.1385317079902743e-06,
1450
+ "loss": 0.5689,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 1.9872,
1455
+ "grad_norm": 0.43768221139907837,
1456
+ "learning_rate": 3.0865828381745515e-06,
1457
+ "loss": 0.5394,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 1.9968,
1462
+ "grad_norm": 0.43219730257987976,
1463
+ "learning_rate": 3.0348748417303826e-06,
1464
+ "loss": 0.5516,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 2.0064,
1469
+ "grad_norm": 1.2905503511428833,
1470
+ "learning_rate": 2.9834142279959754e-06,
1471
+ "loss": 1.0586,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 2.016,
1476
+ "grad_norm": 0.46712183952331543,
1477
+ "learning_rate": 2.932207475167398e-06,
1478
+ "loss": 0.5416,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 2.0256,
1483
+ "grad_norm": 0.4269493818283081,
1484
+ "learning_rate": 2.8812610294830568e-06,
1485
+ "loss": 0.5414,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 2.0352,
1490
+ "grad_norm": 0.38151392340660095,
1491
+ "learning_rate": 2.83058130441221e-06,
1492
+ "loss": 0.4622,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 2.0448,
1497
+ "grad_norm": 0.5331805944442749,
1498
+ "learning_rate": 2.7801746798475905e-06,
1499
+ "loss": 0.628,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 2.0544,
1504
+ "grad_norm": 0.44074368476867676,
1505
+ "learning_rate": 2.7300475013022666e-06,
1506
+ "loss": 0.5521,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 2.064,
1511
+ "grad_norm": 0.44412657618522644,
1512
+ "learning_rate": 2.6802060791108304e-06,
1513
+ "loss": 0.5426,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 2.0736,
1518
+ "grad_norm": 0.41349828243255615,
1519
+ "learning_rate": 2.6306566876350072e-06,
1520
+ "loss": 0.4324,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 2.0832,
1525
+ "grad_norm": 0.4773734509944916,
1526
+ "learning_rate": 2.5814055644738013e-06,
1527
+ "loss": 0.5879,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 2.0928,
1532
+ "grad_norm": 0.46014338731765747,
1533
+ "learning_rate": 2.532458909678266e-06,
1534
+ "loss": 0.5222,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 2.1024,
1539
+ "grad_norm": 0.46258142590522766,
1540
+ "learning_rate": 2.483822884971e-06,
1541
+ "loss": 0.5448,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 2.112,
1546
+ "grad_norm": 0.43709850311279297,
1547
+ "learning_rate": 2.43550361297047e-06,
1548
+ "loss": 0.4832,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 2.1216,
1553
+ "grad_norm": 0.5018278360366821,
1554
+ "learning_rate": 2.387507176420256e-06,
1555
+ "loss": 0.5765,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 2.1312,
1560
+ "grad_norm": 0.4334341883659363,
1561
+ "learning_rate": 2.339839617423318e-06,
1562
+ "loss": 0.5388,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 2.1408,
1567
+ "grad_norm": 0.42537960410118103,
1568
+ "learning_rate": 2.2925069366813718e-06,
1569
+ "loss": 0.4986,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 2.1504,
1574
+ "grad_norm": 0.45592159032821655,
1575
+ "learning_rate": 2.245515092739488e-06,
1576
+ "loss": 0.5617,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 2.16,
1581
+ "grad_norm": 0.41241732239723206,
1582
+ "learning_rate": 2.1988700012359865e-06,
1583
+ "loss": 0.5039,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 2.1696,
1588
+ "grad_norm": 0.4029995799064636,
1589
+ "learning_rate": 2.1525775341577404e-06,
1590
+ "loss": 0.4829,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 2.1792,
1595
+ "grad_norm": 0.4592655599117279,
1596
+ "learning_rate": 2.1066435191009717e-06,
1597
+ "loss": 0.5629,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 2.1888,
1602
+ "grad_norm": 0.42388197779655457,
1603
+ "learning_rate": 2.061073738537635e-06,
1604
+ "loss": 0.4749,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 2.1984,
1609
+ "grad_norm": 0.47804251313209534,
1610
+ "learning_rate": 2.0158739290874822e-06,
1611
+ "loss": 0.5853,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 2.208,
1616
+ "grad_norm": 0.462676465511322,
1617
+ "learning_rate": 1.971049780795901e-06,
1618
+ "loss": 0.6035,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 2.2176,
1623
+ "grad_norm": 0.37558698654174805,
1624
+ "learning_rate": 1.9266069364176144e-06,
1625
+ "loss": 0.4216,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 2.2272,
1630
+ "grad_norm": 0.4392584264278412,
1631
+ "learning_rate": 1.8825509907063328e-06,
1632
+ "loss": 0.5112,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 2.2368,
1637
+ "grad_norm": 0.4294244050979614,
1638
+ "learning_rate": 1.838887489710452e-06,
1639
+ "loss": 0.5268,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 2.2464,
1644
+ "grad_norm": 0.4404008388519287,
1645
+ "learning_rate": 1.7956219300748796e-06,
1646
+ "loss": 0.4891,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 2.2560000000000002,
1651
+ "grad_norm": 0.4791399836540222,
1652
+ "learning_rate": 1.7527597583490825e-06,
1653
+ "loss": 0.5967,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 2.2656,
1658
+ "grad_norm": 0.46237269043922424,
1659
+ "learning_rate": 1.7103063703014372e-06,
1660
+ "loss": 0.5589,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 2.2752,
1665
+ "grad_norm": 0.39166179299354553,
1666
+ "learning_rate": 1.6682671102399806e-06,
1667
+ "loss": 0.4898,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 2.2848,
1672
+ "grad_norm": 0.44791609048843384,
1673
+ "learning_rate": 1.6266472703396286e-06,
1674
+ "loss": 0.5668,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 2.2944,
1679
+ "grad_norm": 0.41991719603538513,
1680
+ "learning_rate": 1.5854520899759656e-06,
1681
+ "loss": 0.5073,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 2.304,
1686
+ "grad_norm": 0.3884223997592926,
1687
+ "learning_rate": 1.544686755065677e-06,
1688
+ "loss": 0.475,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 2.3136,
1693
+ "grad_norm": 0.4285506308078766,
1694
+ "learning_rate": 1.5043563974137132e-06,
1695
+ "loss": 0.5496,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 2.3232,
1700
+ "grad_norm": 0.4607200622558594,
1701
+ "learning_rate": 1.4644660940672628e-06,
1702
+ "loss": 0.5542,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 2.3327999999999998,
1707
+ "grad_norm": 0.4037615954875946,
1708
+ "learning_rate": 1.4250208666766235e-06,
1709
+ "loss": 0.5352,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 2.3424,
1714
+ "grad_norm": 0.4245019853115082,
1715
+ "learning_rate": 1.3860256808630429e-06,
1716
+ "loss": 0.5025,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 2.352,
1721
+ "grad_norm": 0.4666139781475067,
1722
+ "learning_rate": 1.3474854455936126e-06,
1723
+ "loss": 0.5653,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 2.3616,
1728
+ "grad_norm": 0.4049258530139923,
1729
+ "learning_rate": 1.3094050125632973e-06,
1730
+ "loss": 0.5139,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 2.3712,
1735
+ "grad_norm": 0.4625247120857239,
1736
+ "learning_rate": 1.2717891755841722e-06,
1737
+ "loss": 0.5451,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 2.3808,
1742
+ "grad_norm": 0.40945371985435486,
1743
+ "learning_rate": 1.234642669981946e-06,
1744
+ "loss": 0.5544,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 2.3904,
1749
+ "grad_norm": 0.3963390588760376,
1750
+ "learning_rate": 1.1979701719998454e-06,
1751
+ "loss": 0.5222,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 2.4,
1756
+ "grad_norm": 0.3810086250305176,
1757
+ "learning_rate": 1.1617762982099446e-06,
1758
+ "loss": 0.5443,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 2.4096,
1763
+ "grad_norm": 0.3690873980522156,
1764
+ "learning_rate": 1.1260656049319957e-06,
1765
+ "loss": 0.5427,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 2.4192,
1770
+ "grad_norm": 0.40942856669425964,
1771
+ "learning_rate": 1.0908425876598512e-06,
1772
+ "loss": 0.5673,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 2.4288,
1777
+ "grad_norm": 0.3911842107772827,
1778
+ "learning_rate": 1.0561116804955451e-06,
1779
+ "loss": 0.5246,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 2.4384,
1784
+ "grad_norm": 0.38057664036750793,
1785
+ "learning_rate": 1.0218772555910955e-06,
1786
+ "loss": 0.523,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 2.448,
1791
+ "grad_norm": 0.4790250062942505,
1792
+ "learning_rate": 9.881436225981107e-07,
1793
+ "loss": 0.5832,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 2.4576000000000002,
1798
+ "grad_norm": 0.37658169865608215,
1799
+ "learning_rate": 9.549150281252633e-07,
1800
+ "loss": 0.4281,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 2.4672,
1805
+ "grad_norm": 0.3943864107131958,
1806
+ "learning_rate": 9.221956552036992e-07,
1807
+ "loss": 0.5563,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 2.4768,
1812
+ "grad_norm": 0.3827630877494812,
1813
+ "learning_rate": 8.899896227604509e-07,
1814
+ "loss": 0.5046,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 2.4864,
1819
+ "grad_norm": 0.4126964509487152,
1820
+ "learning_rate": 8.58300985099918e-07,
1821
+ "loss": 0.5456,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 2.496,
1826
+ "grad_norm": 0.3857049345970154,
1827
+ "learning_rate": 8.271337313934869e-07,
1828
+ "loss": 0.5446,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 2.5056000000000003,
1833
+ "grad_norm": 0.3478200435638428,
1834
+ "learning_rate": 7.964917851773496e-07,
1835
+ "loss": 0.4994,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 2.5152,
1840
+ "grad_norm": 0.38740620017051697,
1841
+ "learning_rate": 7.663790038585794e-07,
1842
+ "loss": 0.5476,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 2.5248,
1847
+ "grad_norm": 0.3769795000553131,
1848
+ "learning_rate": 7.367991782295392e-07,
1849
+ "loss": 0.4792,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 2.5343999999999998,
1854
+ "grad_norm": 0.42110389471054077,
1855
+ "learning_rate": 7.077560319906696e-07,
1856
+ "loss": 0.5477,
1857
+ "step": 264
1858
+ },
1859
+ {
1860
+ "epoch": 2.544,
1861
+ "grad_norm": 0.38507241010665894,
1862
+ "learning_rate": 6.792532212817271e-07,
1863
+ "loss": 0.4999,
1864
+ "step": 265
1865
+ },
1866
+ {
1867
+ "epoch": 2.5536,
1868
+ "grad_norm": 0.4063776135444641,
1869
+ "learning_rate": 6.512943342215234e-07,
1870
+ "loss": 0.5754,
1871
+ "step": 266
1872
+ },
1873
+ {
1874
+ "epoch": 2.5632,
1875
+ "grad_norm": 0.38943275809288025,
1876
+ "learning_rate": 6.238828904562316e-07,
1877
+ "loss": 0.5088,
1878
+ "step": 267
1879
+ },
1880
+ {
1881
+ "epoch": 2.5728,
1882
+ "grad_norm": 0.41452136635780334,
1883
+ "learning_rate": 5.9702234071631e-07,
1884
+ "loss": 0.5459,
1885
+ "step": 268
1886
+ },
1887
+ {
1888
+ "epoch": 2.5824,
1889
+ "grad_norm": 0.39360129833221436,
1890
+ "learning_rate": 5.707160663821009e-07,
1891
+ "loss": 0.5027,
1892
+ "step": 269
1893
+ },
1894
+ {
1895
+ "epoch": 2.592,
1896
+ "grad_norm": 0.3715846538543701,
1897
+ "learning_rate": 5.449673790581611e-07,
1898
+ "loss": 0.5465,
1899
+ "step": 270
1900
+ },
1901
+ {
1902
+ "epoch": 2.6016,
1903
+ "grad_norm": 0.36886662244796753,
1904
+ "learning_rate": 5.197795201563744e-07,
1905
+ "loss": 0.5161,
1906
+ "step": 271
1907
+ },
1908
+ {
1909
+ "epoch": 2.6112,
1910
+ "grad_norm": 0.3784402310848236,
1911
+ "learning_rate": 4.951556604879049e-07,
1912
+ "loss": 0.5559,
1913
+ "step": 272
1914
+ },
1915
+ {
1916
+ "epoch": 2.6208,
1917
+ "grad_norm": 0.37773990631103516,
1918
+ "learning_rate": 4.710988998640298e-07,
1919
+ "loss": 0.5534,
1920
+ "step": 273
1921
+ },
1922
+ {
1923
+ "epoch": 2.6304,
1924
+ "grad_norm": 0.35538250207901,
1925
+ "learning_rate": 4.4761226670592074e-07,
1926
+ "loss": 0.523,
1927
+ "step": 274
1928
+ },
1929
+ {
1930
+ "epoch": 2.64,
1931
+ "grad_norm": 0.3803144097328186,
1932
+ "learning_rate": 4.2469871766340096e-07,
1933
+ "loss": 0.5093,
1934
+ "step": 275
1935
+ },
1936
+ {
1937
+ "epoch": 2.6496,
1938
+ "grad_norm": 0.3719671666622162,
1939
+ "learning_rate": 4.0236113724274716e-07,
1940
+ "loss": 0.5254,
1941
+ "step": 276
1942
+ },
1943
+ {
1944
+ "epoch": 2.6592000000000002,
1945
+ "grad_norm": 0.4069719612598419,
1946
+ "learning_rate": 3.8060233744356634e-07,
1947
+ "loss": 0.5537,
1948
+ "step": 277
1949
+ },
1950
+ {
1951
+ "epoch": 2.6688,
1952
+ "grad_norm": 0.37681666016578674,
1953
+ "learning_rate": 3.5942505740480583e-07,
1954
+ "loss": 0.4967,
1955
+ "step": 278
1956
+ },
1957
+ {
1958
+ "epoch": 2.6784,
1959
+ "grad_norm": 0.3786385953426361,
1960
+ "learning_rate": 3.3883196305992906e-07,
1961
+ "loss": 0.5403,
1962
+ "step": 279
1963
+ },
1964
+ {
1965
+ "epoch": 2.6879999999999997,
1966
+ "grad_norm": 0.37524834275245667,
1967
+ "learning_rate": 3.18825646801314e-07,
1968
+ "loss": 0.4861,
1969
+ "step": 280
1970
+ },
1971
+ {
1972
+ "epoch": 2.6976,
1973
+ "grad_norm": 0.41508930921554565,
1974
+ "learning_rate": 2.9940862715390483e-07,
1975
+ "loss": 0.5344,
1976
+ "step": 281
1977
+ },
1978
+ {
1979
+ "epoch": 2.7072000000000003,
1980
+ "grad_norm": 0.4199521541595459,
1981
+ "learning_rate": 2.8058334845816214e-07,
1982
+ "loss": 0.5255,
1983
+ "step": 282
1984
+ },
1985
+ {
1986
+ "epoch": 2.7168,
1987
+ "grad_norm": 0.37261250615119934,
1988
+ "learning_rate": 2.6235218056235633e-07,
1989
+ "loss": 0.5422,
1990
+ "step": 283
1991
+ },
1992
+ {
1993
+ "epoch": 2.7264,
1994
+ "grad_norm": 0.3805762529373169,
1995
+ "learning_rate": 2.447174185242324e-07,
1996
+ "loss": 0.5761,
1997
+ "step": 284
1998
+ },
1999
+ {
2000
+ "epoch": 2.7359999999999998,
2001
+ "grad_norm": 0.38191166520118713,
2002
+ "learning_rate": 2.276812823220964e-07,
2003
+ "loss": 0.5083,
2004
+ "step": 285
2005
+ },
2006
+ {
2007
+ "epoch": 2.7456,
2008
+ "grad_norm": 0.3519704341888428,
2009
+ "learning_rate": 2.1124591657534776e-07,
2010
+ "loss": 0.5136,
2011
+ "step": 286
2012
+ },
2013
+ {
2014
+ "epoch": 2.7552,
2015
+ "grad_norm": 0.38643679022789,
2016
+ "learning_rate": 1.9541339027450256e-07,
2017
+ "loss": 0.5539,
2018
+ "step": 287
2019
+ },
2020
+ {
2021
+ "epoch": 2.7648,
2022
+ "grad_norm": 0.36911097168922424,
2023
+ "learning_rate": 1.801856965207338e-07,
2024
+ "loss": 0.5487,
2025
+ "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 2.7744,
2029
+ "grad_norm": 0.3468243479728699,
2030
+ "learning_rate": 1.6556475227496816e-07,
2031
+ "loss": 0.477,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 2.784,
2036
+ "grad_norm": 0.38326430320739746,
2037
+ "learning_rate": 1.5155239811656562e-07,
2038
+ "loss": 0.5226,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 2.7936,
2043
+ "grad_norm": 0.3730164170265198,
2044
+ "learning_rate": 1.3815039801161723e-07,
2045
+ "loss": 0.5597,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 2.8032,
2050
+ "grad_norm": 0.3744042217731476,
2051
+ "learning_rate": 1.253604390908819e-07,
2052
+ "loss": 0.5092,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 2.8128,
2057
+ "grad_norm": 0.3927542567253113,
2058
+ "learning_rate": 1.1318413143740436e-07,
2059
+ "loss": 0.5508,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 2.8224,
2064
+ "grad_norm": 0.3964044451713562,
2065
+ "learning_rate": 1.0162300788382263e-07,
2066
+ "loss": 0.5709,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 2.832,
2071
+ "grad_norm": 0.35273244976997375,
2072
+ "learning_rate": 9.0678523819408e-08,
2073
+ "loss": 0.4695,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 2.8416,
2078
+ "grad_norm": 0.3758268654346466,
2079
+ "learning_rate": 8.035205700685167e-08,
2080
+ "loss": 0.4991,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 2.8512,
2085
+ "grad_norm": 0.39026081562042236,
2086
+ "learning_rate": 7.064490740882057e-08,
2087
+ "loss": 0.5671,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 2.8608000000000002,
2092
+ "grad_norm": 0.3942229449748993,
2093
+ "learning_rate": 6.15582970243117e-08,
2094
+ "loss": 0.5563,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 2.8704,
2099
+ "grad_norm": 0.3643067181110382,
2100
+ "learning_rate": 5.3093369734816824e-08,
2101
+ "loss": 0.5059,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 2.88,
2106
+ "grad_norm": 0.38008803129196167,
2107
+ "learning_rate": 4.52511911603265e-08,
2108
+ "loss": 0.5394,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 2.8895999999999997,
2113
+ "grad_norm": 0.3755616843700409,
2114
+ "learning_rate": 3.8032748525179684e-08,
2115
+ "loss": 0.5302,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 2.8992,
2120
+ "grad_norm": 0.38908350467681885,
2121
+ "learning_rate": 3.143895053378698e-08,
2122
+ "loss": 0.5444,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 2.9088000000000003,
2127
+ "grad_norm": 0.4015740752220154,
2128
+ "learning_rate": 2.547062725623828e-08,
2129
+ "loss": 0.5632,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 2.9184,
2134
+ "grad_norm": 0.36633241176605225,
2135
+ "learning_rate": 2.012853002380466e-08,
2136
+ "loss": 0.4896,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 2.928,
2141
+ "grad_norm": 0.3795105814933777,
2142
+ "learning_rate": 1.541333133436018e-08,
2143
+ "loss": 0.5353,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 2.9375999999999998,
2148
+ "grad_norm": 0.4037023186683655,
2149
+ "learning_rate": 1.132562476771959e-08,
2150
+ "loss": 0.5591,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 2.9472,
2155
+ "grad_norm": 0.3747823238372803,
2156
+ "learning_rate": 7.865924910916977e-09,
2157
+ "loss": 0.5343,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 2.9568,
2162
+ "grad_norm": 0.3887001574039459,
2163
+ "learning_rate": 5.034667293427053e-09,
2164
+ "loss": 0.5405,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 2.9664,
2169
+ "grad_norm": 0.35715678334236145,
2170
+ "learning_rate": 2.8322083323334417e-09,
2171
+ "loss": 0.5039,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 2.976,
2176
+ "grad_norm": 0.38841620087623596,
2177
+ "learning_rate": 1.2588252874673469e-09,
2178
+ "loss": 0.6049,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 2.9856,
2183
+ "grad_norm": 0.3829285800457001,
2184
+ "learning_rate": 3.147162264971471e-10,
2185
+ "loss": 0.5292,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 2.9952,
2190
+ "grad_norm": 0.37096184492111206,
2191
+ "learning_rate": 0.0,
2192
+ "loss": 0.5472,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 2.9952,
2197
+ "step": 312,
2198
+ "total_flos": 312961936211968.0,
2199
+ "train_loss": 0.6116033505934936,
2200
+ "train_runtime": 29493.0805,
2201
+ "train_samples_per_second": 1.017,
2202
+ "train_steps_per_second": 0.011
2203
+ }
2204
+ ],
2205
+ "logging_steps": 1.0,
2206
+ "max_steps": 312,
2207
+ "num_input_tokens_seen": 0,
2208
+ "num_train_epochs": 3,
2209
+ "save_steps": 500,
2210
+ "stateful_callbacks": {
2211
+ "TrainerControl": {
2212
+ "args": {
2213
+ "should_epoch_stop": false,
2214
+ "should_evaluate": false,
2215
+ "should_log": false,
2216
+ "should_save": true,
2217
+ "should_training_stop": true
2218
+ },
2219
+ "attributes": {}
2220
+ }
2221
+ },
2222
+ "total_flos": 312961936211968.0,
2223
+ "train_batch_size": 1,
2224
+ "trial_name": null,
2225
+ "trial_params": null
2226
+ }
training_loss.png ADDED