sedrickkeh commited on
Commit
918a6ff
1 Parent(s): 4bee14b

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: dcft-orca-agentinstruct-1M-v1-cleaned
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # dcft-orca-agentinstruct-1M-v1-cleaned
17
 
18
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.4722
21
 
 
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: dcft-orca-agentinstruct-1M-v1-cleaned
 
16
 
17
  # dcft-orca-agentinstruct-1M-v1-cleaned
18
 
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/dcft-orca-agentinstruct-1M-v1-cleaned dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.4722
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9983489268024215,
3
+ "eval_loss": 0.4722456932067871,
4
+ "eval_runtime": 159.2653,
5
+ "eval_samples_per_second": 153.649,
6
+ "eval_steps_per_second": 0.603,
7
+ "total_flos": 4561963937955840.0,
8
+ "train_loss": 0.4431529876156525,
9
+ "train_runtime": 23524.7066,
10
+ "train_samples_per_second": 59.291,
11
+ "train_steps_per_second": 0.116
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9983489268024215,
3
+ "eval_loss": 0.4722456932067871,
4
+ "eval_runtime": 159.2653,
5
+ "eval_samples_per_second": 153.649,
6
+ "eval_steps_per_second": 0.603
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9983489268024215,
3
+ "total_flos": 4561963937955840.0,
4
+ "train_loss": 0.4431529876156525,
5
+ "train_runtime": 23524.7066,
6
+ "train_samples_per_second": 59.291,
7
+ "train_steps_per_second": 0.116
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1970 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9983489268024215,
5
+ "eval_steps": 500,
6
+ "global_step": 2724,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01100715465052284,
13
+ "grad_norm": 11.982968764493194,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.7008,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.02201430930104568,
20
+ "grad_norm": 0.8714451433483839,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.6366,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.03302146395156852,
27
+ "grad_norm": 0.9399373490721434,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.6043,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.04402861860209136,
34
+ "grad_norm": 0.751427068876365,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.5955,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.0550357732526142,
41
+ "grad_norm": 1.3679671707366874,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.5702,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.06604292790313704,
48
+ "grad_norm": 0.6524007079355506,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.5644,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.07705008255365987,
55
+ "grad_norm": 0.9485439032325497,
56
+ "learning_rate": 5e-06,
57
+ "loss": 0.5613,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.08805723720418272,
62
+ "grad_norm": 0.6650206723532959,
63
+ "learning_rate": 5e-06,
64
+ "loss": 0.5517,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.09906439185470556,
69
+ "grad_norm": 0.612480075347656,
70
+ "learning_rate": 5e-06,
71
+ "loss": 0.549,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.1100715465052284,
76
+ "grad_norm": 0.6478769173502603,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.5514,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.12107870115575124,
83
+ "grad_norm": 0.7433352586160162,
84
+ "learning_rate": 5e-06,
85
+ "loss": 0.5413,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.13208585580627408,
90
+ "grad_norm": 0.6239970107685864,
91
+ "learning_rate": 5e-06,
92
+ "loss": 0.5458,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.14309301045679693,
97
+ "grad_norm": 0.6913632744196682,
98
+ "learning_rate": 5e-06,
99
+ "loss": 0.5475,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.15410016510731975,
104
+ "grad_norm": 0.5833635841101626,
105
+ "learning_rate": 5e-06,
106
+ "loss": 0.5359,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.1651073197578426,
111
+ "grad_norm": 0.9786355012067047,
112
+ "learning_rate": 5e-06,
113
+ "loss": 0.5404,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.17611447440836545,
118
+ "grad_norm": 0.5856753856518442,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.5384,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.18712162905888827,
125
+ "grad_norm": 1.1882823501076132,
126
+ "learning_rate": 5e-06,
127
+ "loss": 0.5378,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.19812878370941112,
132
+ "grad_norm": 1.0789678120584427,
133
+ "learning_rate": 5e-06,
134
+ "loss": 0.53,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.20913593835993396,
139
+ "grad_norm": 0.5803493080254133,
140
+ "learning_rate": 5e-06,
141
+ "loss": 0.5296,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.2201430930104568,
146
+ "grad_norm": 1.4089855222157843,
147
+ "learning_rate": 5e-06,
148
+ "loss": 0.538,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.23115024766097964,
153
+ "grad_norm": 0.6740281868911948,
154
+ "learning_rate": 5e-06,
155
+ "loss": 0.5249,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.24215740231150248,
160
+ "grad_norm": 0.6003523815855626,
161
+ "learning_rate": 5e-06,
162
+ "loss": 0.5243,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.25316455696202533,
167
+ "grad_norm": 0.572144692190536,
168
+ "learning_rate": 5e-06,
169
+ "loss": 0.5213,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.26417171161254815,
174
+ "grad_norm": 0.7910181593285891,
175
+ "learning_rate": 5e-06,
176
+ "loss": 0.5241,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.275178866263071,
181
+ "grad_norm": 0.6177641321673707,
182
+ "learning_rate": 5e-06,
183
+ "loss": 0.5214,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.28618602091359385,
188
+ "grad_norm": 0.7500304055501509,
189
+ "learning_rate": 5e-06,
190
+ "loss": 0.5227,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.2971931755641167,
195
+ "grad_norm": 0.5759260480918272,
196
+ "learning_rate": 5e-06,
197
+ "loss": 0.5215,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.3082003302146395,
202
+ "grad_norm": 0.6952958522767039,
203
+ "learning_rate": 5e-06,
204
+ "loss": 0.5204,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.31920748486516237,
209
+ "grad_norm": 0.5697348053794516,
210
+ "learning_rate": 5e-06,
211
+ "loss": 0.5191,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.3302146395156852,
216
+ "grad_norm": 0.6937290596232556,
217
+ "learning_rate": 5e-06,
218
+ "loss": 0.5218,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.341221794166208,
223
+ "grad_norm": 0.6529534559675694,
224
+ "learning_rate": 5e-06,
225
+ "loss": 0.519,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.3522289488167309,
230
+ "grad_norm": 0.5948102411026203,
231
+ "learning_rate": 5e-06,
232
+ "loss": 0.5123,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.3632361034672537,
237
+ "grad_norm": 0.6173941636375055,
238
+ "learning_rate": 5e-06,
239
+ "loss": 0.5173,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.37424325811777653,
244
+ "grad_norm": 0.5820501361251,
245
+ "learning_rate": 5e-06,
246
+ "loss": 0.5118,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.3852504127682994,
251
+ "grad_norm": 0.6192352814883568,
252
+ "learning_rate": 5e-06,
253
+ "loss": 0.5098,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.39625756741882223,
258
+ "grad_norm": 0.6679576082120485,
259
+ "learning_rate": 5e-06,
260
+ "loss": 0.5094,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.40726472206934505,
265
+ "grad_norm": 0.6154704715809062,
266
+ "learning_rate": 5e-06,
267
+ "loss": 0.5123,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.41827187671986793,
272
+ "grad_norm": 0.6159721056674322,
273
+ "learning_rate": 5e-06,
274
+ "loss": 0.5118,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.42927903137039075,
279
+ "grad_norm": 0.5902415308915003,
280
+ "learning_rate": 5e-06,
281
+ "loss": 0.5103,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.4402861860209136,
286
+ "grad_norm": 0.5640413537633489,
287
+ "learning_rate": 5e-06,
288
+ "loss": 0.5057,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.45129334067143645,
293
+ "grad_norm": 0.5797805049962861,
294
+ "learning_rate": 5e-06,
295
+ "loss": 0.5105,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.46230049532195927,
300
+ "grad_norm": 0.6329053987073141,
301
+ "learning_rate": 5e-06,
302
+ "loss": 0.5057,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.4733076499724821,
307
+ "grad_norm": 0.6556394966044954,
308
+ "learning_rate": 5e-06,
309
+ "loss": 0.5076,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.48431480462300497,
314
+ "grad_norm": 0.5204872422401521,
315
+ "learning_rate": 5e-06,
316
+ "loss": 0.5091,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.4953219592735278,
321
+ "grad_norm": 0.6055071773984622,
322
+ "learning_rate": 5e-06,
323
+ "loss": 0.5042,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.5063291139240507,
328
+ "grad_norm": 0.577556213088883,
329
+ "learning_rate": 5e-06,
330
+ "loss": 0.5021,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.5173362685745735,
335
+ "grad_norm": 0.5448206353812828,
336
+ "learning_rate": 5e-06,
337
+ "loss": 0.5031,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.5283434232250963,
342
+ "grad_norm": 0.765679907553655,
343
+ "learning_rate": 5e-06,
344
+ "loss": 0.496,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.5393505778756191,
349
+ "grad_norm": 0.5063752519213206,
350
+ "learning_rate": 5e-06,
351
+ "loss": 0.5084,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.550357732526142,
356
+ "grad_norm": 0.556460627879871,
357
+ "learning_rate": 5e-06,
358
+ "loss": 0.5058,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.5613648871766649,
363
+ "grad_norm": 0.5556971029690015,
364
+ "learning_rate": 5e-06,
365
+ "loss": 0.5042,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.5723720418271877,
370
+ "grad_norm": 0.5087469872433028,
371
+ "learning_rate": 5e-06,
372
+ "loss": 0.4981,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.5833791964777105,
377
+ "grad_norm": 0.5740838855840336,
378
+ "learning_rate": 5e-06,
379
+ "loss": 0.5,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.5943863511282333,
384
+ "grad_norm": 0.6071027341675969,
385
+ "learning_rate": 5e-06,
386
+ "loss": 0.5058,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.6053935057787562,
391
+ "grad_norm": 0.6287150636622116,
392
+ "learning_rate": 5e-06,
393
+ "loss": 0.499,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.616400660429279,
398
+ "grad_norm": 0.5372391906405078,
399
+ "learning_rate": 5e-06,
400
+ "loss": 0.5012,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.6274078150798019,
405
+ "grad_norm": 0.5104155395282183,
406
+ "learning_rate": 5e-06,
407
+ "loss": 0.4965,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.6384149697303247,
412
+ "grad_norm": 0.5503463972044907,
413
+ "learning_rate": 5e-06,
414
+ "loss": 0.5002,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.6494221243808476,
419
+ "grad_norm": 0.6059048518346142,
420
+ "learning_rate": 5e-06,
421
+ "loss": 0.5042,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.6604292790313704,
426
+ "grad_norm": 0.5378531428842014,
427
+ "learning_rate": 5e-06,
428
+ "loss": 0.5,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.6714364336818932,
433
+ "grad_norm": 0.5340292729753958,
434
+ "learning_rate": 5e-06,
435
+ "loss": 0.4956,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.682443588332416,
440
+ "grad_norm": 0.5435618709432246,
441
+ "learning_rate": 5e-06,
442
+ "loss": 0.4923,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.693450742982939,
447
+ "grad_norm": 0.5570510303637648,
448
+ "learning_rate": 5e-06,
449
+ "loss": 0.4956,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.7044578976334618,
454
+ "grad_norm": 0.5368310165336837,
455
+ "learning_rate": 5e-06,
456
+ "loss": 0.4892,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.7154650522839846,
461
+ "grad_norm": 0.5291121424739461,
462
+ "learning_rate": 5e-06,
463
+ "loss": 0.5006,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.7264722069345074,
468
+ "grad_norm": 0.5896252816232395,
469
+ "learning_rate": 5e-06,
470
+ "loss": 0.4941,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.7374793615850302,
475
+ "grad_norm": 0.5912493036469172,
476
+ "learning_rate": 5e-06,
477
+ "loss": 0.5,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.7484865162355531,
482
+ "grad_norm": 0.5900114035953407,
483
+ "learning_rate": 5e-06,
484
+ "loss": 0.5022,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.759493670886076,
489
+ "grad_norm": 0.5900560441658592,
490
+ "learning_rate": 5e-06,
491
+ "loss": 0.4968,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.7705008255365988,
496
+ "grad_norm": 0.6833979531689708,
497
+ "learning_rate": 5e-06,
498
+ "loss": 0.4928,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.7815079801871216,
503
+ "grad_norm": 0.5042222197867751,
504
+ "learning_rate": 5e-06,
505
+ "loss": 0.4898,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.7925151348376445,
510
+ "grad_norm": 0.5569347117978443,
511
+ "learning_rate": 5e-06,
512
+ "loss": 0.4899,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.8035222894881673,
517
+ "grad_norm": 0.5571296055101981,
518
+ "learning_rate": 5e-06,
519
+ "loss": 0.4883,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.8145294441386901,
524
+ "grad_norm": 0.5487786231782513,
525
+ "learning_rate": 5e-06,
526
+ "loss": 0.4936,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.825536598789213,
531
+ "grad_norm": 0.5361021770619736,
532
+ "learning_rate": 5e-06,
533
+ "loss": 0.4895,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.8365437534397359,
538
+ "grad_norm": 0.5010641851772664,
539
+ "learning_rate": 5e-06,
540
+ "loss": 0.4791,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.8475509080902587,
545
+ "grad_norm": 0.5961215060285896,
546
+ "learning_rate": 5e-06,
547
+ "loss": 0.492,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.8585580627407815,
552
+ "grad_norm": 0.6022142161806737,
553
+ "learning_rate": 5e-06,
554
+ "loss": 0.4938,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.8695652173913043,
559
+ "grad_norm": 0.7134051760388376,
560
+ "learning_rate": 5e-06,
561
+ "loss": 0.4914,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.8805723720418271,
566
+ "grad_norm": 0.5943061275040569,
567
+ "learning_rate": 5e-06,
568
+ "loss": 0.4876,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.8915795266923501,
573
+ "grad_norm": 0.5295163028180682,
574
+ "learning_rate": 5e-06,
575
+ "loss": 0.49,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.9025866813428729,
580
+ "grad_norm": 0.6176895623882939,
581
+ "learning_rate": 5e-06,
582
+ "loss": 0.4873,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.9135938359933957,
587
+ "grad_norm": 0.595716110723999,
588
+ "learning_rate": 5e-06,
589
+ "loss": 0.4876,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.9246009906439185,
594
+ "grad_norm": 0.575932394376346,
595
+ "learning_rate": 5e-06,
596
+ "loss": 0.4835,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.9356081452944414,
601
+ "grad_norm": 0.5776178768390061,
602
+ "learning_rate": 5e-06,
603
+ "loss": 0.4856,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.9466152999449642,
608
+ "grad_norm": 0.5228109379951298,
609
+ "learning_rate": 5e-06,
610
+ "loss": 0.4893,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.9576224545954871,
615
+ "grad_norm": 0.5142756334221203,
616
+ "learning_rate": 5e-06,
617
+ "loss": 0.4861,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.9686296092460099,
622
+ "grad_norm": 0.5560430994207315,
623
+ "learning_rate": 5e-06,
624
+ "loss": 0.4866,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.9796367638965328,
629
+ "grad_norm": 0.5236860575170247,
630
+ "learning_rate": 5e-06,
631
+ "loss": 0.4871,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.9906439185470556,
636
+ "grad_norm": 0.5346057585564113,
637
+ "learning_rate": 5e-06,
638
+ "loss": 0.4817,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.9994496422674739,
643
+ "eval_loss": 0.4857633411884308,
644
+ "eval_runtime": 159.3539,
645
+ "eval_samples_per_second": 153.564,
646
+ "eval_steps_per_second": 0.602,
647
+ "step": 908
648
+ },
649
+ {
650
+ "epoch": 1.0016510731975785,
651
+ "grad_norm": 0.6954103915524027,
652
+ "learning_rate": 5e-06,
653
+ "loss": 0.4812,
654
+ "step": 910
655
+ },
656
+ {
657
+ "epoch": 1.0126582278481013,
658
+ "grad_norm": 0.6904861508835244,
659
+ "learning_rate": 5e-06,
660
+ "loss": 0.4395,
661
+ "step": 920
662
+ },
663
+ {
664
+ "epoch": 1.0236653824986242,
665
+ "grad_norm": 0.6056312466483126,
666
+ "learning_rate": 5e-06,
667
+ "loss": 0.4379,
668
+ "step": 930
669
+ },
670
+ {
671
+ "epoch": 1.034672537149147,
672
+ "grad_norm": 0.5635057288110571,
673
+ "learning_rate": 5e-06,
674
+ "loss": 0.4388,
675
+ "step": 940
676
+ },
677
+ {
678
+ "epoch": 1.0456796917996698,
679
+ "grad_norm": 0.6402812237362167,
680
+ "learning_rate": 5e-06,
681
+ "loss": 0.4374,
682
+ "step": 950
683
+ },
684
+ {
685
+ "epoch": 1.0566868464501926,
686
+ "grad_norm": 0.6805656284406708,
687
+ "learning_rate": 5e-06,
688
+ "loss": 0.4358,
689
+ "step": 960
690
+ },
691
+ {
692
+ "epoch": 1.0676940011007154,
693
+ "grad_norm": 0.6802333237610121,
694
+ "learning_rate": 5e-06,
695
+ "loss": 0.4359,
696
+ "step": 970
697
+ },
698
+ {
699
+ "epoch": 1.0787011557512383,
700
+ "grad_norm": 0.6342832305273984,
701
+ "learning_rate": 5e-06,
702
+ "loss": 0.4383,
703
+ "step": 980
704
+ },
705
+ {
706
+ "epoch": 1.089708310401761,
707
+ "grad_norm": 0.673378832872309,
708
+ "learning_rate": 5e-06,
709
+ "loss": 0.4385,
710
+ "step": 990
711
+ },
712
+ {
713
+ "epoch": 1.100715465052284,
714
+ "grad_norm": 0.5850001853654084,
715
+ "learning_rate": 5e-06,
716
+ "loss": 0.4405,
717
+ "step": 1000
718
+ },
719
+ {
720
+ "epoch": 1.1117226197028067,
721
+ "grad_norm": 0.5633453327560388,
722
+ "learning_rate": 5e-06,
723
+ "loss": 0.4371,
724
+ "step": 1010
725
+ },
726
+ {
727
+ "epoch": 1.1227297743533298,
728
+ "grad_norm": 0.5794836418349026,
729
+ "learning_rate": 5e-06,
730
+ "loss": 0.4345,
731
+ "step": 1020
732
+ },
733
+ {
734
+ "epoch": 1.1337369290038526,
735
+ "grad_norm": 0.6957157037971271,
736
+ "learning_rate": 5e-06,
737
+ "loss": 0.4405,
738
+ "step": 1030
739
+ },
740
+ {
741
+ "epoch": 1.1447440836543754,
742
+ "grad_norm": 0.5850311919783369,
743
+ "learning_rate": 5e-06,
744
+ "loss": 0.4381,
745
+ "step": 1040
746
+ },
747
+ {
748
+ "epoch": 1.1557512383048982,
749
+ "grad_norm": 0.5786549672004206,
750
+ "learning_rate": 5e-06,
751
+ "loss": 0.4387,
752
+ "step": 1050
753
+ },
754
+ {
755
+ "epoch": 1.166758392955421,
756
+ "grad_norm": 0.5453228479230924,
757
+ "learning_rate": 5e-06,
758
+ "loss": 0.4422,
759
+ "step": 1060
760
+ },
761
+ {
762
+ "epoch": 1.1777655476059439,
763
+ "grad_norm": 0.5271796837376248,
764
+ "learning_rate": 5e-06,
765
+ "loss": 0.4341,
766
+ "step": 1070
767
+ },
768
+ {
769
+ "epoch": 1.1887727022564667,
770
+ "grad_norm": 0.5500839123378732,
771
+ "learning_rate": 5e-06,
772
+ "loss": 0.4353,
773
+ "step": 1080
774
+ },
775
+ {
776
+ "epoch": 1.1997798569069895,
777
+ "grad_norm": 0.5864810400113687,
778
+ "learning_rate": 5e-06,
779
+ "loss": 0.4425,
780
+ "step": 1090
781
+ },
782
+ {
783
+ "epoch": 1.2107870115575123,
784
+ "grad_norm": 0.6180773369312172,
785
+ "learning_rate": 5e-06,
786
+ "loss": 0.4376,
787
+ "step": 1100
788
+ },
789
+ {
790
+ "epoch": 1.2217941662080352,
791
+ "grad_norm": 0.5658554475197427,
792
+ "learning_rate": 5e-06,
793
+ "loss": 0.4323,
794
+ "step": 1110
795
+ },
796
+ {
797
+ "epoch": 1.232801320858558,
798
+ "grad_norm": 0.6193015695020276,
799
+ "learning_rate": 5e-06,
800
+ "loss": 0.4394,
801
+ "step": 1120
802
+ },
803
+ {
804
+ "epoch": 1.243808475509081,
805
+ "grad_norm": 0.5596947987184782,
806
+ "learning_rate": 5e-06,
807
+ "loss": 0.4395,
808
+ "step": 1130
809
+ },
810
+ {
811
+ "epoch": 1.2548156301596038,
812
+ "grad_norm": 0.5779753915489554,
813
+ "learning_rate": 5e-06,
814
+ "loss": 0.4361,
815
+ "step": 1140
816
+ },
817
+ {
818
+ "epoch": 1.2658227848101267,
819
+ "grad_norm": 0.5970567192151592,
820
+ "learning_rate": 5e-06,
821
+ "loss": 0.4359,
822
+ "step": 1150
823
+ },
824
+ {
825
+ "epoch": 1.2768299394606495,
826
+ "grad_norm": 0.6169730283837226,
827
+ "learning_rate": 5e-06,
828
+ "loss": 0.4381,
829
+ "step": 1160
830
+ },
831
+ {
832
+ "epoch": 1.2878370941111723,
833
+ "grad_norm": 0.5446834081363536,
834
+ "learning_rate": 5e-06,
835
+ "loss": 0.4375,
836
+ "step": 1170
837
+ },
838
+ {
839
+ "epoch": 1.2988442487616951,
840
+ "grad_norm": 0.582583999525571,
841
+ "learning_rate": 5e-06,
842
+ "loss": 0.44,
843
+ "step": 1180
844
+ },
845
+ {
846
+ "epoch": 1.309851403412218,
847
+ "grad_norm": 0.5673745624093002,
848
+ "learning_rate": 5e-06,
849
+ "loss": 0.4321,
850
+ "step": 1190
851
+ },
852
+ {
853
+ "epoch": 1.3208585580627408,
854
+ "grad_norm": 0.5922648552723985,
855
+ "learning_rate": 5e-06,
856
+ "loss": 0.4391,
857
+ "step": 1200
858
+ },
859
+ {
860
+ "epoch": 1.3318657127132636,
861
+ "grad_norm": 0.5326676916418296,
862
+ "learning_rate": 5e-06,
863
+ "loss": 0.4299,
864
+ "step": 1210
865
+ },
866
+ {
867
+ "epoch": 1.3428728673637864,
868
+ "grad_norm": 0.5641010101239504,
869
+ "learning_rate": 5e-06,
870
+ "loss": 0.4401,
871
+ "step": 1220
872
+ },
873
+ {
874
+ "epoch": 1.3538800220143092,
875
+ "grad_norm": 0.5910310299336851,
876
+ "learning_rate": 5e-06,
877
+ "loss": 0.4368,
878
+ "step": 1230
879
+ },
880
+ {
881
+ "epoch": 1.364887176664832,
882
+ "grad_norm": 0.5834557438322393,
883
+ "learning_rate": 5e-06,
884
+ "loss": 0.4382,
885
+ "step": 1240
886
+ },
887
+ {
888
+ "epoch": 1.3758943313153549,
889
+ "grad_norm": 0.5191214693333431,
890
+ "learning_rate": 5e-06,
891
+ "loss": 0.4418,
892
+ "step": 1250
893
+ },
894
+ {
895
+ "epoch": 1.3869014859658777,
896
+ "grad_norm": 0.5368395032794088,
897
+ "learning_rate": 5e-06,
898
+ "loss": 0.4402,
899
+ "step": 1260
900
+ },
901
+ {
902
+ "epoch": 1.3979086406164005,
903
+ "grad_norm": 0.5673556075490349,
904
+ "learning_rate": 5e-06,
905
+ "loss": 0.4384,
906
+ "step": 1270
907
+ },
908
+ {
909
+ "epoch": 1.4089157952669236,
910
+ "grad_norm": 0.6481626365833887,
911
+ "learning_rate": 5e-06,
912
+ "loss": 0.4358,
913
+ "step": 1280
914
+ },
915
+ {
916
+ "epoch": 1.4199229499174464,
917
+ "grad_norm": 0.5498988973105204,
918
+ "learning_rate": 5e-06,
919
+ "loss": 0.4366,
920
+ "step": 1290
921
+ },
922
+ {
923
+ "epoch": 1.4309301045679692,
924
+ "grad_norm": 0.5302729010671943,
925
+ "learning_rate": 5e-06,
926
+ "loss": 0.4333,
927
+ "step": 1300
928
+ },
929
+ {
930
+ "epoch": 1.441937259218492,
931
+ "grad_norm": 0.5388413616433102,
932
+ "learning_rate": 5e-06,
933
+ "loss": 0.4307,
934
+ "step": 1310
935
+ },
936
+ {
937
+ "epoch": 1.4529444138690149,
938
+ "grad_norm": 0.5834658751113933,
939
+ "learning_rate": 5e-06,
940
+ "loss": 0.4375,
941
+ "step": 1320
942
+ },
943
+ {
944
+ "epoch": 1.4639515685195377,
945
+ "grad_norm": 0.5679787510835149,
946
+ "learning_rate": 5e-06,
947
+ "loss": 0.4318,
948
+ "step": 1330
949
+ },
950
+ {
951
+ "epoch": 1.4749587231700605,
952
+ "grad_norm": 0.5162203463847701,
953
+ "learning_rate": 5e-06,
954
+ "loss": 0.4395,
955
+ "step": 1340
956
+ },
957
+ {
958
+ "epoch": 1.4859658778205833,
959
+ "grad_norm": 0.6126681306614338,
960
+ "learning_rate": 5e-06,
961
+ "loss": 0.4343,
962
+ "step": 1350
963
+ },
964
+ {
965
+ "epoch": 1.4969730324711064,
966
+ "grad_norm": 0.5879183265228268,
967
+ "learning_rate": 5e-06,
968
+ "loss": 0.4358,
969
+ "step": 1360
970
+ },
971
+ {
972
+ "epoch": 1.5079801871216292,
973
+ "grad_norm": 0.5257913985399404,
974
+ "learning_rate": 5e-06,
975
+ "loss": 0.4365,
976
+ "step": 1370
977
+ },
978
+ {
979
+ "epoch": 1.518987341772152,
980
+ "grad_norm": 0.576090776398715,
981
+ "learning_rate": 5e-06,
982
+ "loss": 0.4387,
983
+ "step": 1380
984
+ },
985
+ {
986
+ "epoch": 1.5299944964226748,
987
+ "grad_norm": 0.5266517756543082,
988
+ "learning_rate": 5e-06,
989
+ "loss": 0.4275,
990
+ "step": 1390
991
+ },
992
+ {
993
+ "epoch": 1.5410016510731976,
994
+ "grad_norm": 0.5214581761670536,
995
+ "learning_rate": 5e-06,
996
+ "loss": 0.4302,
997
+ "step": 1400
998
+ },
999
+ {
1000
+ "epoch": 1.5520088057237205,
1001
+ "grad_norm": 0.5844587783384355,
1002
+ "learning_rate": 5e-06,
1003
+ "loss": 0.4344,
1004
+ "step": 1410
1005
+ },
1006
+ {
1007
+ "epoch": 1.5630159603742433,
1008
+ "grad_norm": 0.5184897433803842,
1009
+ "learning_rate": 5e-06,
1010
+ "loss": 0.4366,
1011
+ "step": 1420
1012
+ },
1013
+ {
1014
+ "epoch": 1.574023115024766,
1015
+ "grad_norm": 0.603559969863826,
1016
+ "learning_rate": 5e-06,
1017
+ "loss": 0.4353,
1018
+ "step": 1430
1019
+ },
1020
+ {
1021
+ "epoch": 1.585030269675289,
1022
+ "grad_norm": 0.6150263738061312,
1023
+ "learning_rate": 5e-06,
1024
+ "loss": 0.4332,
1025
+ "step": 1440
1026
+ },
1027
+ {
1028
+ "epoch": 1.5960374243258117,
1029
+ "grad_norm": 0.5587076272635337,
1030
+ "learning_rate": 5e-06,
1031
+ "loss": 0.4297,
1032
+ "step": 1450
1033
+ },
1034
+ {
1035
+ "epoch": 1.6070445789763346,
1036
+ "grad_norm": 0.5574804742581976,
1037
+ "learning_rate": 5e-06,
1038
+ "loss": 0.4369,
1039
+ "step": 1460
1040
+ },
1041
+ {
1042
+ "epoch": 1.6180517336268574,
1043
+ "grad_norm": 0.6043925859357673,
1044
+ "learning_rate": 5e-06,
1045
+ "loss": 0.4364,
1046
+ "step": 1470
1047
+ },
1048
+ {
1049
+ "epoch": 1.6290588882773802,
1050
+ "grad_norm": 0.5613841202662139,
1051
+ "learning_rate": 5e-06,
1052
+ "loss": 0.4313,
1053
+ "step": 1480
1054
+ },
1055
+ {
1056
+ "epoch": 1.640066042927903,
1057
+ "grad_norm": 0.5875738293215998,
1058
+ "learning_rate": 5e-06,
1059
+ "loss": 0.4314,
1060
+ "step": 1490
1061
+ },
1062
+ {
1063
+ "epoch": 1.6510731975784259,
1064
+ "grad_norm": 0.5312956331787028,
1065
+ "learning_rate": 5e-06,
1066
+ "loss": 0.4334,
1067
+ "step": 1500
1068
+ },
1069
+ {
1070
+ "epoch": 1.6620803522289487,
1071
+ "grad_norm": 0.5607804337999436,
1072
+ "learning_rate": 5e-06,
1073
+ "loss": 0.4332,
1074
+ "step": 1510
1075
+ },
1076
+ {
1077
+ "epoch": 1.6730875068794715,
1078
+ "grad_norm": 0.5230353473375494,
1079
+ "learning_rate": 5e-06,
1080
+ "loss": 0.4326,
1081
+ "step": 1520
1082
+ },
1083
+ {
1084
+ "epoch": 1.6840946615299945,
1085
+ "grad_norm": 0.5965361487319844,
1086
+ "learning_rate": 5e-06,
1087
+ "loss": 0.4366,
1088
+ "step": 1530
1089
+ },
1090
+ {
1091
+ "epoch": 1.6951018161805174,
1092
+ "grad_norm": 0.5244644152001788,
1093
+ "learning_rate": 5e-06,
1094
+ "loss": 0.4316,
1095
+ "step": 1540
1096
+ },
1097
+ {
1098
+ "epoch": 1.7061089708310402,
1099
+ "grad_norm": 0.5431321192494539,
1100
+ "learning_rate": 5e-06,
1101
+ "loss": 0.431,
1102
+ "step": 1550
1103
+ },
1104
+ {
1105
+ "epoch": 1.717116125481563,
1106
+ "grad_norm": 0.6513547108421084,
1107
+ "learning_rate": 5e-06,
1108
+ "loss": 0.4359,
1109
+ "step": 1560
1110
+ },
1111
+ {
1112
+ "epoch": 1.7281232801320858,
1113
+ "grad_norm": 0.6516507769071219,
1114
+ "learning_rate": 5e-06,
1115
+ "loss": 0.4332,
1116
+ "step": 1570
1117
+ },
1118
+ {
1119
+ "epoch": 1.7391304347826086,
1120
+ "grad_norm": 0.5795960573910671,
1121
+ "learning_rate": 5e-06,
1122
+ "loss": 0.4295,
1123
+ "step": 1580
1124
+ },
1125
+ {
1126
+ "epoch": 1.7501375894331317,
1127
+ "grad_norm": 0.5189325164302765,
1128
+ "learning_rate": 5e-06,
1129
+ "loss": 0.4366,
1130
+ "step": 1590
1131
+ },
1132
+ {
1133
+ "epoch": 1.7611447440836545,
1134
+ "grad_norm": 0.5417627672077877,
1135
+ "learning_rate": 5e-06,
1136
+ "loss": 0.4298,
1137
+ "step": 1600
1138
+ },
1139
+ {
1140
+ "epoch": 1.7721518987341773,
1141
+ "grad_norm": 0.6239972164472983,
1142
+ "learning_rate": 5e-06,
1143
+ "loss": 0.43,
1144
+ "step": 1610
1145
+ },
1146
+ {
1147
+ "epoch": 1.7831590533847002,
1148
+ "grad_norm": 0.4996783210981701,
1149
+ "learning_rate": 5e-06,
1150
+ "loss": 0.43,
1151
+ "step": 1620
1152
+ },
1153
+ {
1154
+ "epoch": 1.794166208035223,
1155
+ "grad_norm": 0.5104553497784724,
1156
+ "learning_rate": 5e-06,
1157
+ "loss": 0.432,
1158
+ "step": 1630
1159
+ },
1160
+ {
1161
+ "epoch": 1.8051733626857458,
1162
+ "grad_norm": 0.5647139288600611,
1163
+ "learning_rate": 5e-06,
1164
+ "loss": 0.4339,
1165
+ "step": 1640
1166
+ },
1167
+ {
1168
+ "epoch": 1.8161805173362686,
1169
+ "grad_norm": 0.5630834068994763,
1170
+ "learning_rate": 5e-06,
1171
+ "loss": 0.4372,
1172
+ "step": 1650
1173
+ },
1174
+ {
1175
+ "epoch": 1.8271876719867914,
1176
+ "grad_norm": 0.5665633902854723,
1177
+ "learning_rate": 5e-06,
1178
+ "loss": 0.4374,
1179
+ "step": 1660
1180
+ },
1181
+ {
1182
+ "epoch": 1.8381948266373143,
1183
+ "grad_norm": 0.5463406636892771,
1184
+ "learning_rate": 5e-06,
1185
+ "loss": 0.4271,
1186
+ "step": 1670
1187
+ },
1188
+ {
1189
+ "epoch": 1.849201981287837,
1190
+ "grad_norm": 0.5154981959057048,
1191
+ "learning_rate": 5e-06,
1192
+ "loss": 0.4297,
1193
+ "step": 1680
1194
+ },
1195
+ {
1196
+ "epoch": 1.86020913593836,
1197
+ "grad_norm": 0.5312549310410268,
1198
+ "learning_rate": 5e-06,
1199
+ "loss": 0.436,
1200
+ "step": 1690
1201
+ },
1202
+ {
1203
+ "epoch": 1.8712162905888827,
1204
+ "grad_norm": 0.551407654359753,
1205
+ "learning_rate": 5e-06,
1206
+ "loss": 0.4381,
1207
+ "step": 1700
1208
+ },
1209
+ {
1210
+ "epoch": 1.8822234452394055,
1211
+ "grad_norm": 0.540138846863153,
1212
+ "learning_rate": 5e-06,
1213
+ "loss": 0.4315,
1214
+ "step": 1710
1215
+ },
1216
+ {
1217
+ "epoch": 1.8932305998899284,
1218
+ "grad_norm": 0.6033253391417194,
1219
+ "learning_rate": 5e-06,
1220
+ "loss": 0.4337,
1221
+ "step": 1720
1222
+ },
1223
+ {
1224
+ "epoch": 1.9042377545404512,
1225
+ "grad_norm": 0.61160643823951,
1226
+ "learning_rate": 5e-06,
1227
+ "loss": 0.4297,
1228
+ "step": 1730
1229
+ },
1230
+ {
1231
+ "epoch": 1.915244909190974,
1232
+ "grad_norm": 0.5505886988824265,
1233
+ "learning_rate": 5e-06,
1234
+ "loss": 0.4307,
1235
+ "step": 1740
1236
+ },
1237
+ {
1238
+ "epoch": 1.9262520638414968,
1239
+ "grad_norm": 0.5989272614081892,
1240
+ "learning_rate": 5e-06,
1241
+ "loss": 0.4295,
1242
+ "step": 1750
1243
+ },
1244
+ {
1245
+ "epoch": 1.9372592184920197,
1246
+ "grad_norm": 0.5242486461915085,
1247
+ "learning_rate": 5e-06,
1248
+ "loss": 0.4276,
1249
+ "step": 1760
1250
+ },
1251
+ {
1252
+ "epoch": 1.9482663731425427,
1253
+ "grad_norm": 0.5681896345892186,
1254
+ "learning_rate": 5e-06,
1255
+ "loss": 0.4306,
1256
+ "step": 1770
1257
+ },
1258
+ {
1259
+ "epoch": 1.9592735277930655,
1260
+ "grad_norm": 0.5667700512399272,
1261
+ "learning_rate": 5e-06,
1262
+ "loss": 0.428,
1263
+ "step": 1780
1264
+ },
1265
+ {
1266
+ "epoch": 1.9702806824435883,
1267
+ "grad_norm": 0.569299516369229,
1268
+ "learning_rate": 5e-06,
1269
+ "loss": 0.4303,
1270
+ "step": 1790
1271
+ },
1272
+ {
1273
+ "epoch": 1.9812878370941112,
1274
+ "grad_norm": 0.5369184206876113,
1275
+ "learning_rate": 5e-06,
1276
+ "loss": 0.4295,
1277
+ "step": 1800
1278
+ },
1279
+ {
1280
+ "epoch": 1.992294991744634,
1281
+ "grad_norm": 0.5529747180809514,
1282
+ "learning_rate": 5e-06,
1283
+ "loss": 0.4298,
1284
+ "step": 1810
1285
+ },
1286
+ {
1287
+ "epoch": 2.0,
1288
+ "eval_loss": 0.4725576341152191,
1289
+ "eval_runtime": 160.9677,
1290
+ "eval_samples_per_second": 152.024,
1291
+ "eval_steps_per_second": 0.596,
1292
+ "step": 1817
1293
+ },
1294
+ {
1295
+ "epoch": 2.003302146395157,
1296
+ "grad_norm": 0.8861521336936925,
1297
+ "learning_rate": 5e-06,
1298
+ "loss": 0.4167,
1299
+ "step": 1820
1300
+ },
1301
+ {
1302
+ "epoch": 2.01430930104568,
1303
+ "grad_norm": 0.6892658830373809,
1304
+ "learning_rate": 5e-06,
1305
+ "loss": 0.3791,
1306
+ "step": 1830
1307
+ },
1308
+ {
1309
+ "epoch": 2.0253164556962027,
1310
+ "grad_norm": 0.6130982380336389,
1311
+ "learning_rate": 5e-06,
1312
+ "loss": 0.377,
1313
+ "step": 1840
1314
+ },
1315
+ {
1316
+ "epoch": 2.0363236103467255,
1317
+ "grad_norm": 0.5500141598945452,
1318
+ "learning_rate": 5e-06,
1319
+ "loss": 0.3733,
1320
+ "step": 1850
1321
+ },
1322
+ {
1323
+ "epoch": 2.0473307649972483,
1324
+ "grad_norm": 0.640976655229211,
1325
+ "learning_rate": 5e-06,
1326
+ "loss": 0.379,
1327
+ "step": 1860
1328
+ },
1329
+ {
1330
+ "epoch": 2.058337919647771,
1331
+ "grad_norm": 0.5752122188586861,
1332
+ "learning_rate": 5e-06,
1333
+ "loss": 0.3793,
1334
+ "step": 1870
1335
+ },
1336
+ {
1337
+ "epoch": 2.069345074298294,
1338
+ "grad_norm": 0.6520981163357644,
1339
+ "learning_rate": 5e-06,
1340
+ "loss": 0.379,
1341
+ "step": 1880
1342
+ },
1343
+ {
1344
+ "epoch": 2.0803522289488168,
1345
+ "grad_norm": 0.6671099473289382,
1346
+ "learning_rate": 5e-06,
1347
+ "loss": 0.378,
1348
+ "step": 1890
1349
+ },
1350
+ {
1351
+ "epoch": 2.0913593835993396,
1352
+ "grad_norm": 0.630309142743594,
1353
+ "learning_rate": 5e-06,
1354
+ "loss": 0.3777,
1355
+ "step": 1900
1356
+ },
1357
+ {
1358
+ "epoch": 2.1023665382498624,
1359
+ "grad_norm": 0.6909567500460214,
1360
+ "learning_rate": 5e-06,
1361
+ "loss": 0.3738,
1362
+ "step": 1910
1363
+ },
1364
+ {
1365
+ "epoch": 2.1133736929003852,
1366
+ "grad_norm": 0.6815956176286785,
1367
+ "learning_rate": 5e-06,
1368
+ "loss": 0.3773,
1369
+ "step": 1920
1370
+ },
1371
+ {
1372
+ "epoch": 2.124380847550908,
1373
+ "grad_norm": 0.5707426072330477,
1374
+ "learning_rate": 5e-06,
1375
+ "loss": 0.3702,
1376
+ "step": 1930
1377
+ },
1378
+ {
1379
+ "epoch": 2.135388002201431,
1380
+ "grad_norm": 0.6040074116591623,
1381
+ "learning_rate": 5e-06,
1382
+ "loss": 0.3759,
1383
+ "step": 1940
1384
+ },
1385
+ {
1386
+ "epoch": 2.1463951568519537,
1387
+ "grad_norm": 0.5670259744264411,
1388
+ "learning_rate": 5e-06,
1389
+ "loss": 0.3751,
1390
+ "step": 1950
1391
+ },
1392
+ {
1393
+ "epoch": 2.1574023115024765,
1394
+ "grad_norm": 0.5692233527320808,
1395
+ "learning_rate": 5e-06,
1396
+ "loss": 0.3815,
1397
+ "step": 1960
1398
+ },
1399
+ {
1400
+ "epoch": 2.1684094661529993,
1401
+ "grad_norm": 0.5789493847877696,
1402
+ "learning_rate": 5e-06,
1403
+ "loss": 0.3743,
1404
+ "step": 1970
1405
+ },
1406
+ {
1407
+ "epoch": 2.179416620803522,
1408
+ "grad_norm": 0.6112232211302647,
1409
+ "learning_rate": 5e-06,
1410
+ "loss": 0.3743,
1411
+ "step": 1980
1412
+ },
1413
+ {
1414
+ "epoch": 2.190423775454045,
1415
+ "grad_norm": 0.6302887797402175,
1416
+ "learning_rate": 5e-06,
1417
+ "loss": 0.378,
1418
+ "step": 1990
1419
+ },
1420
+ {
1421
+ "epoch": 2.201430930104568,
1422
+ "grad_norm": 0.6733666822713485,
1423
+ "learning_rate": 5e-06,
1424
+ "loss": 0.377,
1425
+ "step": 2000
1426
+ },
1427
+ {
1428
+ "epoch": 2.2124380847550906,
1429
+ "grad_norm": 0.6353223463231811,
1430
+ "learning_rate": 5e-06,
1431
+ "loss": 0.3776,
1432
+ "step": 2010
1433
+ },
1434
+ {
1435
+ "epoch": 2.2234452394056134,
1436
+ "grad_norm": 0.6295504535613273,
1437
+ "learning_rate": 5e-06,
1438
+ "loss": 0.381,
1439
+ "step": 2020
1440
+ },
1441
+ {
1442
+ "epoch": 2.2344523940561363,
1443
+ "grad_norm": 0.5761239648683782,
1444
+ "learning_rate": 5e-06,
1445
+ "loss": 0.3742,
1446
+ "step": 2030
1447
+ },
1448
+ {
1449
+ "epoch": 2.2454595487066595,
1450
+ "grad_norm": 0.6271978461426522,
1451
+ "learning_rate": 5e-06,
1452
+ "loss": 0.3811,
1453
+ "step": 2040
1454
+ },
1455
+ {
1456
+ "epoch": 2.2564667033571824,
1457
+ "grad_norm": 0.5674731636449037,
1458
+ "learning_rate": 5e-06,
1459
+ "loss": 0.376,
1460
+ "step": 2050
1461
+ },
1462
+ {
1463
+ "epoch": 2.267473858007705,
1464
+ "grad_norm": 0.5454803251231741,
1465
+ "learning_rate": 5e-06,
1466
+ "loss": 0.3778,
1467
+ "step": 2060
1468
+ },
1469
+ {
1470
+ "epoch": 2.278481012658228,
1471
+ "grad_norm": 0.6148461329472565,
1472
+ "learning_rate": 5e-06,
1473
+ "loss": 0.3808,
1474
+ "step": 2070
1475
+ },
1476
+ {
1477
+ "epoch": 2.289488167308751,
1478
+ "grad_norm": 0.5696712268071389,
1479
+ "learning_rate": 5e-06,
1480
+ "loss": 0.3749,
1481
+ "step": 2080
1482
+ },
1483
+ {
1484
+ "epoch": 2.3004953219592736,
1485
+ "grad_norm": 0.6037092379724925,
1486
+ "learning_rate": 5e-06,
1487
+ "loss": 0.3776,
1488
+ "step": 2090
1489
+ },
1490
+ {
1491
+ "epoch": 2.3115024766097965,
1492
+ "grad_norm": 0.7369680694568643,
1493
+ "learning_rate": 5e-06,
1494
+ "loss": 0.3802,
1495
+ "step": 2100
1496
+ },
1497
+ {
1498
+ "epoch": 2.3225096312603193,
1499
+ "grad_norm": 0.6321419825410511,
1500
+ "learning_rate": 5e-06,
1501
+ "loss": 0.3837,
1502
+ "step": 2110
1503
+ },
1504
+ {
1505
+ "epoch": 2.333516785910842,
1506
+ "grad_norm": 0.6106978423379751,
1507
+ "learning_rate": 5e-06,
1508
+ "loss": 0.3782,
1509
+ "step": 2120
1510
+ },
1511
+ {
1512
+ "epoch": 2.344523940561365,
1513
+ "grad_norm": 0.6072740258524655,
1514
+ "learning_rate": 5e-06,
1515
+ "loss": 0.3781,
1516
+ "step": 2130
1517
+ },
1518
+ {
1519
+ "epoch": 2.3555310952118877,
1520
+ "grad_norm": 0.647753922042719,
1521
+ "learning_rate": 5e-06,
1522
+ "loss": 0.3854,
1523
+ "step": 2140
1524
+ },
1525
+ {
1526
+ "epoch": 2.3665382498624106,
1527
+ "grad_norm": 0.6082439972579275,
1528
+ "learning_rate": 5e-06,
1529
+ "loss": 0.3819,
1530
+ "step": 2150
1531
+ },
1532
+ {
1533
+ "epoch": 2.3775454045129334,
1534
+ "grad_norm": 0.5978693538094152,
1535
+ "learning_rate": 5e-06,
1536
+ "loss": 0.3818,
1537
+ "step": 2160
1538
+ },
1539
+ {
1540
+ "epoch": 2.388552559163456,
1541
+ "grad_norm": 0.6003736709173206,
1542
+ "learning_rate": 5e-06,
1543
+ "loss": 0.3771,
1544
+ "step": 2170
1545
+ },
1546
+ {
1547
+ "epoch": 2.399559713813979,
1548
+ "grad_norm": 0.6307314872816914,
1549
+ "learning_rate": 5e-06,
1550
+ "loss": 0.3811,
1551
+ "step": 2180
1552
+ },
1553
+ {
1554
+ "epoch": 2.410566868464502,
1555
+ "grad_norm": 0.6599639202292461,
1556
+ "learning_rate": 5e-06,
1557
+ "loss": 0.3783,
1558
+ "step": 2190
1559
+ },
1560
+ {
1561
+ "epoch": 2.4215740231150247,
1562
+ "grad_norm": 0.6912051261227585,
1563
+ "learning_rate": 5e-06,
1564
+ "loss": 0.3794,
1565
+ "step": 2200
1566
+ },
1567
+ {
1568
+ "epoch": 2.4325811777655475,
1569
+ "grad_norm": 0.7089464618082304,
1570
+ "learning_rate": 5e-06,
1571
+ "loss": 0.3803,
1572
+ "step": 2210
1573
+ },
1574
+ {
1575
+ "epoch": 2.4435883324160703,
1576
+ "grad_norm": 0.699533687846073,
1577
+ "learning_rate": 5e-06,
1578
+ "loss": 0.3788,
1579
+ "step": 2220
1580
+ },
1581
+ {
1582
+ "epoch": 2.454595487066593,
1583
+ "grad_norm": 0.7712301792225386,
1584
+ "learning_rate": 5e-06,
1585
+ "loss": 0.3818,
1586
+ "step": 2230
1587
+ },
1588
+ {
1589
+ "epoch": 2.465602641717116,
1590
+ "grad_norm": 0.6441985393507654,
1591
+ "learning_rate": 5e-06,
1592
+ "loss": 0.3779,
1593
+ "step": 2240
1594
+ },
1595
+ {
1596
+ "epoch": 2.476609796367639,
1597
+ "grad_norm": 0.6166692892050696,
1598
+ "learning_rate": 5e-06,
1599
+ "loss": 0.3805,
1600
+ "step": 2250
1601
+ },
1602
+ {
1603
+ "epoch": 2.487616951018162,
1604
+ "grad_norm": 0.588424438537565,
1605
+ "learning_rate": 5e-06,
1606
+ "loss": 0.3805,
1607
+ "step": 2260
1608
+ },
1609
+ {
1610
+ "epoch": 2.498624105668685,
1611
+ "grad_norm": 0.5986189719224738,
1612
+ "learning_rate": 5e-06,
1613
+ "loss": 0.378,
1614
+ "step": 2270
1615
+ },
1616
+ {
1617
+ "epoch": 2.5096312603192077,
1618
+ "grad_norm": 0.6713635474898176,
1619
+ "learning_rate": 5e-06,
1620
+ "loss": 0.382,
1621
+ "step": 2280
1622
+ },
1623
+ {
1624
+ "epoch": 2.5206384149697305,
1625
+ "grad_norm": 0.6114166378742365,
1626
+ "learning_rate": 5e-06,
1627
+ "loss": 0.3775,
1628
+ "step": 2290
1629
+ },
1630
+ {
1631
+ "epoch": 2.5316455696202533,
1632
+ "grad_norm": 0.5927146129909185,
1633
+ "learning_rate": 5e-06,
1634
+ "loss": 0.3788,
1635
+ "step": 2300
1636
+ },
1637
+ {
1638
+ "epoch": 2.542652724270776,
1639
+ "grad_norm": 0.6481722170233998,
1640
+ "learning_rate": 5e-06,
1641
+ "loss": 0.3827,
1642
+ "step": 2310
1643
+ },
1644
+ {
1645
+ "epoch": 2.553659878921299,
1646
+ "grad_norm": 0.6093928418805276,
1647
+ "learning_rate": 5e-06,
1648
+ "loss": 0.3827,
1649
+ "step": 2320
1650
+ },
1651
+ {
1652
+ "epoch": 2.564667033571822,
1653
+ "grad_norm": 0.5760261750722316,
1654
+ "learning_rate": 5e-06,
1655
+ "loss": 0.3794,
1656
+ "step": 2330
1657
+ },
1658
+ {
1659
+ "epoch": 2.5756741882223446,
1660
+ "grad_norm": 0.546035367442567,
1661
+ "learning_rate": 5e-06,
1662
+ "loss": 0.3801,
1663
+ "step": 2340
1664
+ },
1665
+ {
1666
+ "epoch": 2.5866813428728674,
1667
+ "grad_norm": 0.5949259270960803,
1668
+ "learning_rate": 5e-06,
1669
+ "loss": 0.3783,
1670
+ "step": 2350
1671
+ },
1672
+ {
1673
+ "epoch": 2.5976884975233903,
1674
+ "grad_norm": 0.5806746124686398,
1675
+ "learning_rate": 5e-06,
1676
+ "loss": 0.3841,
1677
+ "step": 2360
1678
+ },
1679
+ {
1680
+ "epoch": 2.608695652173913,
1681
+ "grad_norm": 0.5919944678625259,
1682
+ "learning_rate": 5e-06,
1683
+ "loss": 0.3836,
1684
+ "step": 2370
1685
+ },
1686
+ {
1687
+ "epoch": 2.619702806824436,
1688
+ "grad_norm": 0.5980838281657921,
1689
+ "learning_rate": 5e-06,
1690
+ "loss": 0.3769,
1691
+ "step": 2380
1692
+ },
1693
+ {
1694
+ "epoch": 2.6307099614749587,
1695
+ "grad_norm": 0.6481584461041264,
1696
+ "learning_rate": 5e-06,
1697
+ "loss": 0.381,
1698
+ "step": 2390
1699
+ },
1700
+ {
1701
+ "epoch": 2.6417171161254815,
1702
+ "grad_norm": 0.5874311612757207,
1703
+ "learning_rate": 5e-06,
1704
+ "loss": 0.3791,
1705
+ "step": 2400
1706
+ },
1707
+ {
1708
+ "epoch": 2.6527242707760044,
1709
+ "grad_norm": 0.5393082329976977,
1710
+ "learning_rate": 5e-06,
1711
+ "loss": 0.3795,
1712
+ "step": 2410
1713
+ },
1714
+ {
1715
+ "epoch": 2.663731425426527,
1716
+ "grad_norm": 0.6391507361732646,
1717
+ "learning_rate": 5e-06,
1718
+ "loss": 0.3777,
1719
+ "step": 2420
1720
+ },
1721
+ {
1722
+ "epoch": 2.67473858007705,
1723
+ "grad_norm": 0.6752338448438331,
1724
+ "learning_rate": 5e-06,
1725
+ "loss": 0.3809,
1726
+ "step": 2430
1727
+ },
1728
+ {
1729
+ "epoch": 2.685745734727573,
1730
+ "grad_norm": 0.6424613862207754,
1731
+ "learning_rate": 5e-06,
1732
+ "loss": 0.3791,
1733
+ "step": 2440
1734
+ },
1735
+ {
1736
+ "epoch": 2.6967528893780957,
1737
+ "grad_norm": 0.6103493940236195,
1738
+ "learning_rate": 5e-06,
1739
+ "loss": 0.3777,
1740
+ "step": 2450
1741
+ },
1742
+ {
1743
+ "epoch": 2.7077600440286185,
1744
+ "grad_norm": 0.6015418958936961,
1745
+ "learning_rate": 5e-06,
1746
+ "loss": 0.3809,
1747
+ "step": 2460
1748
+ },
1749
+ {
1750
+ "epoch": 2.7187671986791413,
1751
+ "grad_norm": 0.593488838926255,
1752
+ "learning_rate": 5e-06,
1753
+ "loss": 0.3829,
1754
+ "step": 2470
1755
+ },
1756
+ {
1757
+ "epoch": 2.729774353329664,
1758
+ "grad_norm": 0.6036597919786563,
1759
+ "learning_rate": 5e-06,
1760
+ "loss": 0.38,
1761
+ "step": 2480
1762
+ },
1763
+ {
1764
+ "epoch": 2.740781507980187,
1765
+ "grad_norm": 0.5639219893276929,
1766
+ "learning_rate": 5e-06,
1767
+ "loss": 0.3802,
1768
+ "step": 2490
1769
+ },
1770
+ {
1771
+ "epoch": 2.7517886626307098,
1772
+ "grad_norm": 0.6130147843919902,
1773
+ "learning_rate": 5e-06,
1774
+ "loss": 0.3837,
1775
+ "step": 2500
1776
+ },
1777
+ {
1778
+ "epoch": 2.7627958172812326,
1779
+ "grad_norm": 0.6123037077664492,
1780
+ "learning_rate": 5e-06,
1781
+ "loss": 0.3771,
1782
+ "step": 2510
1783
+ },
1784
+ {
1785
+ "epoch": 2.7738029719317554,
1786
+ "grad_norm": 0.5850243924752155,
1787
+ "learning_rate": 5e-06,
1788
+ "loss": 0.3833,
1789
+ "step": 2520
1790
+ },
1791
+ {
1792
+ "epoch": 2.7848101265822782,
1793
+ "grad_norm": 0.589884075763954,
1794
+ "learning_rate": 5e-06,
1795
+ "loss": 0.3758,
1796
+ "step": 2530
1797
+ },
1798
+ {
1799
+ "epoch": 2.795817281232801,
1800
+ "grad_norm": 0.6176690347871701,
1801
+ "learning_rate": 5e-06,
1802
+ "loss": 0.3846,
1803
+ "step": 2540
1804
+ },
1805
+ {
1806
+ "epoch": 2.8068244358833243,
1807
+ "grad_norm": 0.5949996697230896,
1808
+ "learning_rate": 5e-06,
1809
+ "loss": 0.3807,
1810
+ "step": 2550
1811
+ },
1812
+ {
1813
+ "epoch": 2.817831590533847,
1814
+ "grad_norm": 0.6341629255150304,
1815
+ "learning_rate": 5e-06,
1816
+ "loss": 0.3815,
1817
+ "step": 2560
1818
+ },
1819
+ {
1820
+ "epoch": 2.82883874518437,
1821
+ "grad_norm": 0.5975135304739316,
1822
+ "learning_rate": 5e-06,
1823
+ "loss": 0.3833,
1824
+ "step": 2570
1825
+ },
1826
+ {
1827
+ "epoch": 2.8398458998348928,
1828
+ "grad_norm": 0.7351357789320612,
1829
+ "learning_rate": 5e-06,
1830
+ "loss": 0.3786,
1831
+ "step": 2580
1832
+ },
1833
+ {
1834
+ "epoch": 2.8508530544854156,
1835
+ "grad_norm": 0.6285771692837051,
1836
+ "learning_rate": 5e-06,
1837
+ "loss": 0.3792,
1838
+ "step": 2590
1839
+ },
1840
+ {
1841
+ "epoch": 2.8618602091359384,
1842
+ "grad_norm": 0.6596485761523762,
1843
+ "learning_rate": 5e-06,
1844
+ "loss": 0.3772,
1845
+ "step": 2600
1846
+ },
1847
+ {
1848
+ "epoch": 2.8728673637864612,
1849
+ "grad_norm": 0.6164968919053221,
1850
+ "learning_rate": 5e-06,
1851
+ "loss": 0.3815,
1852
+ "step": 2610
1853
+ },
1854
+ {
1855
+ "epoch": 2.883874518436984,
1856
+ "grad_norm": 0.5945977263042338,
1857
+ "learning_rate": 5e-06,
1858
+ "loss": 0.3879,
1859
+ "step": 2620
1860
+ },
1861
+ {
1862
+ "epoch": 2.894881673087507,
1863
+ "grad_norm": 0.6196977946239451,
1864
+ "learning_rate": 5e-06,
1865
+ "loss": 0.3756,
1866
+ "step": 2630
1867
+ },
1868
+ {
1869
+ "epoch": 2.9058888277380297,
1870
+ "grad_norm": 0.5936308368510096,
1871
+ "learning_rate": 5e-06,
1872
+ "loss": 0.3792,
1873
+ "step": 2640
1874
+ },
1875
+ {
1876
+ "epoch": 2.9168959823885525,
1877
+ "grad_norm": 0.5766476508395794,
1878
+ "learning_rate": 5e-06,
1879
+ "loss": 0.383,
1880
+ "step": 2650
1881
+ },
1882
+ {
1883
+ "epoch": 2.9279031370390753,
1884
+ "grad_norm": 0.6705751923379233,
1885
+ "learning_rate": 5e-06,
1886
+ "loss": 0.3838,
1887
+ "step": 2660
1888
+ },
1889
+ {
1890
+ "epoch": 2.938910291689598,
1891
+ "grad_norm": 0.6305266614849032,
1892
+ "learning_rate": 5e-06,
1893
+ "loss": 0.3805,
1894
+ "step": 2670
1895
+ },
1896
+ {
1897
+ "epoch": 2.949917446340121,
1898
+ "grad_norm": 0.5578589567242559,
1899
+ "learning_rate": 5e-06,
1900
+ "loss": 0.379,
1901
+ "step": 2680
1902
+ },
1903
+ {
1904
+ "epoch": 2.960924600990644,
1905
+ "grad_norm": 0.5812437474960733,
1906
+ "learning_rate": 5e-06,
1907
+ "loss": 0.3779,
1908
+ "step": 2690
1909
+ },
1910
+ {
1911
+ "epoch": 2.9719317556411666,
1912
+ "grad_norm": 0.5702384575759576,
1913
+ "learning_rate": 5e-06,
1914
+ "loss": 0.3788,
1915
+ "step": 2700
1916
+ },
1917
+ {
1918
+ "epoch": 2.9829389102916894,
1919
+ "grad_norm": 0.6002094241817759,
1920
+ "learning_rate": 5e-06,
1921
+ "loss": 0.3769,
1922
+ "step": 2710
1923
+ },
1924
+ {
1925
+ "epoch": 2.9939460649422127,
1926
+ "grad_norm": 0.5761233457133683,
1927
+ "learning_rate": 5e-06,
1928
+ "loss": 0.3804,
1929
+ "step": 2720
1930
+ },
1931
+ {
1932
+ "epoch": 2.9983489268024215,
1933
+ "eval_loss": 0.4722456932067871,
1934
+ "eval_runtime": 159.4748,
1935
+ "eval_samples_per_second": 153.447,
1936
+ "eval_steps_per_second": 0.602,
1937
+ "step": 2724
1938
+ },
1939
+ {
1940
+ "epoch": 2.9983489268024215,
1941
+ "step": 2724,
1942
+ "total_flos": 4561963937955840.0,
1943
+ "train_loss": 0.4431529876156525,
1944
+ "train_runtime": 23524.7066,
1945
+ "train_samples_per_second": 59.291,
1946
+ "train_steps_per_second": 0.116
1947
+ }
1948
+ ],
1949
+ "logging_steps": 10,
1950
+ "max_steps": 2724,
1951
+ "num_input_tokens_seen": 0,
1952
+ "num_train_epochs": 3,
1953
+ "save_steps": 500,
1954
+ "stateful_callbacks": {
1955
+ "TrainerControl": {
1956
+ "args": {
1957
+ "should_epoch_stop": false,
1958
+ "should_evaluate": false,
1959
+ "should_log": false,
1960
+ "should_save": true,
1961
+ "should_training_stop": true
1962
+ },
1963
+ "attributes": {}
1964
+ }
1965
+ },
1966
+ "total_flos": 4561963937955840.0,
1967
+ "train_batch_size": 8,
1968
+ "trial_name": null,
1969
+ "trial_params": null
1970
+ }
training_eval_loss.png ADDED
training_loss.png ADDED