aixk commited on
Commit
1dec9e3
·
verified ·
1 Parent(s): ae8db87

Upload folder using huggingface_hub

Browse files
checkpoint-2600/config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "FastHyperNet125mForCausalLM"
4
+ ],
5
+ "dtype": "float32",
6
+ "hidden_size": 768,
7
+ "hyperbolic_dim": 16,
8
+ "initializer_range": 0.02,
9
+ "intermediate_size": 2048,
10
+ "max_position_embeddings": 512,
11
+ "model_type": "fasthypernet_125m_linguistic",
12
+ "num_attention_heads": 12,
13
+ "num_hidden_layers": 16,
14
+ "transformers_version": "5.13.1",
15
+ "use_cache": false,
16
+ "vocab_size": 8192
17
+ }
checkpoint-2600/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "output_attentions": false,
4
+ "output_hidden_states": false,
5
+ "transformers_version": "5.13.1"
6
+ }
checkpoint-2600/hybrid_tokenizer_mapping.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2600/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b0377373ccdc8ae3ef61afd5f16bc61ed868801bd97356c1c6abe2f1aac2411
3
+ size 508157712
checkpoint-2600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0293b0a3335af144a0acb7cf39569f4ecd338ae72883e4f358d2f1dbf0bce0d4
3
+ size 259122285
checkpoint-2600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61d3ab3c4bb02ba1780193d221f247d39feb0ef7747aff412548d95fb07bc8f7
3
+ size 14645
checkpoint-2600/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d84b074aa34cc953c4a7cf0cc070341929979a4cb78d3cb6e78fb0f8a345334
3
+ size 1383
checkpoint-2600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2058d8a5d616355f620081cc2dcd805c88b0c21c6bfba52e4777748f259f445c
3
+ size 1465
checkpoint-2600/tokenizer_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "tokenizer_class": "HFCompatibleLinguisticTokenizer",
3
+ "vocab_size": 8192,
4
+ "model_max_length": 512,
5
+ "bos_token": "<bos>",
6
+ "eos_token": "<eos>",
7
+ "unk_token": "<unk>",
8
+ "pad_token": "<pad>"
9
+ }
checkpoint-2600/trainer_state.json ADDED
@@ -0,0 +1,1854 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.008277189273452468,
6
+ "eval_steps": 500,
7
+ "global_step": 2600,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.00013795315455754112,
14
+ "grad_norm": 53.4421272277832,
15
+ "learning_rate": 4.1999999999999995e-07,
16
+ "loss": 8.6569,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.00027590630911508224,
21
+ "grad_norm": 57.65703582763672,
22
+ "learning_rate": 1.0199999999999998e-06,
23
+ "loss": 8.6391,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.0004138594636726234,
28
+ "grad_norm": 93.79612731933594,
29
+ "learning_rate": 1.62e-06,
30
+ "loss": 8.6097,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0005518126182301645,
35
+ "grad_norm": 133.8379669189453,
36
+ "learning_rate": 2.22e-06,
37
+ "loss": 8.5995,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.0006897657727877056,
42
+ "grad_norm": 99.24571228027344,
43
+ "learning_rate": 2.8199999999999997e-06,
44
+ "loss": 8.5699,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.0008277189273452468,
49
+ "grad_norm": 155.49118041992188,
50
+ "learning_rate": 3.42e-06,
51
+ "loss": 8.5516,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.0009656720819027878,
56
+ "grad_norm": 118.79692840576172,
57
+ "learning_rate": 4.02e-06,
58
+ "loss": 8.5331,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.001103625236460329,
63
+ "grad_norm": 88.51729583740234,
64
+ "learning_rate": 4.62e-06,
65
+ "loss": 8.5212,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0012415783910178701,
70
+ "grad_norm": 117.01810455322266,
71
+ "learning_rate": 5.219999999999999e-06,
72
+ "loss": 8.5007,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.0013795315455754113,
77
+ "grad_norm": 104.06542205810547,
78
+ "learning_rate": 5.819999999999999e-06,
79
+ "loss": 8.4948,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.0015174847001329524,
84
+ "grad_norm": 103.02165985107422,
85
+ "learning_rate": 6.4199999999999995e-06,
86
+ "loss": 8.4871,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.0016554378546904936,
91
+ "grad_norm": 119.96959686279297,
92
+ "learning_rate": 7.02e-06,
93
+ "loss": 8.4803,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.0017933910092480345,
98
+ "grad_norm": 83.34615325927734,
99
+ "learning_rate": 7.619999999999999e-06,
100
+ "loss": 8.471,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.0019313441638055756,
105
+ "grad_norm": 76.37083435058594,
106
+ "learning_rate": 8.22e-06,
107
+ "loss": 8.4655,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.002069297318363117,
112
+ "grad_norm": 82.49830627441406,
113
+ "learning_rate": 8.819999999999999e-06,
114
+ "loss": 8.4708,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.002207250472920658,
119
+ "grad_norm": 69.70299530029297,
120
+ "learning_rate": 9.419999999999998e-06,
121
+ "loss": 8.4659,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.0023452036274781993,
126
+ "grad_norm": 103.55642700195312,
127
+ "learning_rate": 1.0019999999999999e-05,
128
+ "loss": 8.4555,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0024831567820357402,
133
+ "grad_norm": 112.4985122680664,
134
+ "learning_rate": 1.062e-05,
135
+ "loss": 8.4629,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.002621109936593281,
140
+ "grad_norm": 78.48297882080078,
141
+ "learning_rate": 1.122e-05,
142
+ "loss": 8.4562,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.0027590630911508225,
147
+ "grad_norm": 87.78710174560547,
148
+ "learning_rate": 1.1819999999999999e-05,
149
+ "loss": 8.451,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 3.448828863938528e-05,
154
+ "grad_norm": 34.83774948120117,
155
+ "learning_rate": 1.2419999999999998e-05,
156
+ "loss": 8.4432,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 6.897657727877056e-05,
161
+ "grad_norm": 68.05087280273438,
162
+ "learning_rate": 1.3019999999999999e-05,
163
+ "loss": 8.4542,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.00010346486591815585,
168
+ "grad_norm": 46.86287307739258,
169
+ "learning_rate": 1.362e-05,
170
+ "loss": 8.4622,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.00013795315455754112,
175
+ "grad_norm": 38.558746337890625,
176
+ "learning_rate": 1.4219999999999998e-05,
177
+ "loss": 8.4458,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0001724414431969264,
182
+ "grad_norm": 38.49115753173828,
183
+ "learning_rate": 1.4819999999999999e-05,
184
+ "loss": 8.4495,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.0002069297318363117,
189
+ "grad_norm": 29.765907287597656,
190
+ "learning_rate": 1.5419999999999998e-05,
191
+ "loss": 8.464,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.00024141802047569696,
196
+ "grad_norm": 48.3050537109375,
197
+ "learning_rate": 1.602e-05,
198
+ "loss": 8.4601,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.00027590630911508224,
203
+ "grad_norm": 27.089998245239258,
204
+ "learning_rate": 1.6619999999999997e-05,
205
+ "loss": 8.4628,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.00031039459775446753,
210
+ "grad_norm": 36.98786163330078,
211
+ "learning_rate": 1.7219999999999998e-05,
212
+ "loss": 8.4364,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.0003448828863938528,
217
+ "grad_norm": 39.274784088134766,
218
+ "learning_rate": 1.782e-05,
219
+ "loss": 8.4314,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.0003793711750332381,
224
+ "grad_norm": 29.303476333618164,
225
+ "learning_rate": 1.842e-05,
226
+ "loss": 8.4153,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.0004138594636726234,
231
+ "grad_norm": 24.435274124145508,
232
+ "learning_rate": 1.9019999999999997e-05,
233
+ "loss": 8.4489,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.0004483477523120086,
238
+ "grad_norm": 25.8426456451416,
239
+ "learning_rate": 1.962e-05,
240
+ "loss": 8.4297,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.0004828360409513939,
245
+ "grad_norm": 24.164419174194336,
246
+ "learning_rate": 2.022e-05,
247
+ "loss": 8.4398,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.0005173243295907793,
252
+ "grad_norm": 17.73716163635254,
253
+ "learning_rate": 2.082e-05,
254
+ "loss": 8.4333,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.0005518126182301645,
259
+ "grad_norm": 34.02337646484375,
260
+ "learning_rate": 2.1419999999999998e-05,
261
+ "loss": 8.4488,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.0005863009068695498,
266
+ "grad_norm": 26.535123825073242,
267
+ "learning_rate": 2.202e-05,
268
+ "loss": 8.4361,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.0006207891955089351,
273
+ "grad_norm": 32.27824783325195,
274
+ "learning_rate": 2.2619999999999997e-05,
275
+ "loss": 8.4116,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.0006552774841483203,
280
+ "grad_norm": 20.55720329284668,
281
+ "learning_rate": 2.3219999999999998e-05,
282
+ "loss": 8.4151,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.0006897657727877056,
287
+ "grad_norm": 30.87930679321289,
288
+ "learning_rate": 2.382e-05,
289
+ "loss": 8.43,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.0007242540614270909,
294
+ "grad_norm": 19.80055046081543,
295
+ "learning_rate": 2.4419999999999997e-05,
296
+ "loss": 8.4345,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.0007587423500664762,
301
+ "grad_norm": 23.822568893432617,
302
+ "learning_rate": 2.5019999999999998e-05,
303
+ "loss": 8.413,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.0007932306387058614,
308
+ "grad_norm": 24.005403518676758,
309
+ "learning_rate": 2.562e-05,
310
+ "loss": 8.419,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.0008277189273452468,
315
+ "grad_norm": 30.060989379882812,
316
+ "learning_rate": 2.622e-05,
317
+ "loss": 8.4314,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.000862207215984632,
322
+ "grad_norm": 22.84067153930664,
323
+ "learning_rate": 2.6759999999999998e-05,
324
+ "loss": 8.4154,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.0008966955046240172,
329
+ "grad_norm": 22.259994506835938,
330
+ "learning_rate": 2.7299999999999996e-05,
331
+ "loss": 8.4086,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.0009311837932634026,
336
+ "grad_norm": 11.726574897766113,
337
+ "learning_rate": 2.7899999999999997e-05,
338
+ "loss": 8.4284,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.0009656720819027878,
343
+ "grad_norm": 27.165864944458008,
344
+ "learning_rate": 2.8499999999999998e-05,
345
+ "loss": 8.4169,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.001000160370542173,
350
+ "grad_norm": 24.19461441040039,
351
+ "learning_rate": 2.91e-05,
352
+ "loss": 8.4343,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.0010346486591815585,
357
+ "grad_norm": 10.8844633102417,
358
+ "learning_rate": 2.97e-05,
359
+ "loss": 8.4233,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.0010691369478209437,
364
+ "grad_norm": 22.924041748046875,
365
+ "learning_rate": 3.0299999999999998e-05,
366
+ "loss": 8.394,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.001103625236460329,
371
+ "grad_norm": 15.292486190795898,
372
+ "learning_rate": 3.09e-05,
373
+ "loss": 8.4232,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.0011381135250997142,
378
+ "grad_norm": 18.48368263244629,
379
+ "learning_rate": 3.149999999999999e-05,
380
+ "loss": 8.4116,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.0011726018137390997,
385
+ "grad_norm": 17.83504867553711,
386
+ "learning_rate": 3.2099999999999994e-05,
387
+ "loss": 8.4049,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.0012070901023784849,
392
+ "grad_norm": 14.123770713806152,
393
+ "learning_rate": 3.2699999999999995e-05,
394
+ "loss": 8.4031,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.0012415783910178701,
399
+ "grad_norm": 19.69959831237793,
400
+ "learning_rate": 3.3299999999999996e-05,
401
+ "loss": 8.4,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.0012760666796572554,
406
+ "grad_norm": 19.486099243164062,
407
+ "learning_rate": 3.39e-05,
408
+ "loss": 8.4109,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.0013105549682966406,
413
+ "grad_norm": 11.047612190246582,
414
+ "learning_rate": 3.45e-05,
415
+ "loss": 8.4181,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.001345043256936026,
420
+ "grad_norm": 20.63058090209961,
421
+ "learning_rate": 3.51e-05,
422
+ "loss": 8.4011,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.0013795315455754113,
427
+ "grad_norm": 25.09280776977539,
428
+ "learning_rate": 3.5699999999999994e-05,
429
+ "loss": 8.3946,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.0014140198342147965,
434
+ "grad_norm": 15.544500350952148,
435
+ "learning_rate": 3.6299999999999995e-05,
436
+ "loss": 8.4085,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.0014485081228541817,
441
+ "grad_norm": 17.291248321533203,
442
+ "learning_rate": 3.6899999999999996e-05,
443
+ "loss": 8.4186,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.001482996411493567,
448
+ "grad_norm": 20.22525405883789,
449
+ "learning_rate": 3.75e-05,
450
+ "loss": 8.4061,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.0015174847001329524,
455
+ "grad_norm": 11.877947807312012,
456
+ "learning_rate": 3.81e-05,
457
+ "loss": 8.3943,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.0015519729887723376,
462
+ "grad_norm": 15.03212833404541,
463
+ "learning_rate": 3.87e-05,
464
+ "loss": 8.4077,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.0015864612774117229,
469
+ "grad_norm": 11.607198715209961,
470
+ "learning_rate": 3.93e-05,
471
+ "loss": 8.4003,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.0016209495660511081,
476
+ "grad_norm": 16.791051864624023,
477
+ "learning_rate": 3.99e-05,
478
+ "loss": 8.3883,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.0016554378546904936,
483
+ "grad_norm": 13.70166015625,
484
+ "learning_rate": 4.05e-05,
485
+ "loss": 8.4086,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.0016899261433298788,
490
+ "grad_norm": 8.733206748962402,
491
+ "learning_rate": 4.11e-05,
492
+ "loss": 8.3855,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.001724414431969264,
497
+ "grad_norm": 18.953189849853516,
498
+ "learning_rate": 4.17e-05,
499
+ "loss": 8.3839,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.0017589027206086493,
504
+ "grad_norm": 15.253740310668945,
505
+ "learning_rate": 4.229999999999999e-05,
506
+ "loss": 8.4009,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.0017933910092480345,
511
+ "grad_norm": 13.945429801940918,
512
+ "learning_rate": 4.289999999999999e-05,
513
+ "loss": 8.3869,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.00182787929788742,
518
+ "grad_norm": 15.738173484802246,
519
+ "learning_rate": 4.3499999999999993e-05,
520
+ "loss": 8.3847,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.0018623675865268052,
525
+ "grad_norm": 13.38271713256836,
526
+ "learning_rate": 4.4099999999999995e-05,
527
+ "loss": 8.3995,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.0018968558751661904,
532
+ "grad_norm": 14.793967247009277,
533
+ "learning_rate": 4.4699999999999996e-05,
534
+ "loss": 8.3833,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.0019313441638055756,
539
+ "grad_norm": 16.215335845947266,
540
+ "learning_rate": 4.5299999999999997e-05,
541
+ "loss": 8.3903,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.001965832452444961,
546
+ "grad_norm": 21.061214447021484,
547
+ "learning_rate": 4.59e-05,
548
+ "loss": 8.3884,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.002000320741084346,
553
+ "grad_norm": 14.154373168945312,
554
+ "learning_rate": 4.65e-05,
555
+ "loss": 8.4027,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.0020348090297237316,
560
+ "grad_norm": 9.922065734863281,
561
+ "learning_rate": 4.709999999999999e-05,
562
+ "loss": 8.4037,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.002069297318363117,
567
+ "grad_norm": 17.40951919555664,
568
+ "learning_rate": 4.7699999999999994e-05,
569
+ "loss": 8.4032,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.002103785607002502,
574
+ "grad_norm": 17.422048568725586,
575
+ "learning_rate": 4.8299999999999995e-05,
576
+ "loss": 8.3983,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.0021382738956418875,
581
+ "grad_norm": 16.443422317504883,
582
+ "learning_rate": 4.8899999999999996e-05,
583
+ "loss": 8.3957,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.0021727621842812725,
588
+ "grad_norm": 24.262035369873047,
589
+ "learning_rate": 4.95e-05,
590
+ "loss": 8.3895,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.002207250472920658,
595
+ "grad_norm": 13.685011863708496,
596
+ "learning_rate": 5.01e-05,
597
+ "loss": 8.3915,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.0022417387615600434,
602
+ "grad_norm": 10.055377960205078,
603
+ "learning_rate": 5.07e-05,
604
+ "loss": 8.3822,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.0022762270501994284,
609
+ "grad_norm": 13.62060546875,
610
+ "learning_rate": 5.13e-05,
611
+ "loss": 8.3817,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.002310715338838814,
616
+ "grad_norm": 14.18138313293457,
617
+ "learning_rate": 5.1899999999999994e-05,
618
+ "loss": 8.3889,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.0023452036274781993,
623
+ "grad_norm": 6.779985427856445,
624
+ "learning_rate": 5.2499999999999995e-05,
625
+ "loss": 8.3846,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.0023796919161175843,
630
+ "grad_norm": 7.078898906707764,
631
+ "learning_rate": 5.309999999999999e-05,
632
+ "loss": 8.4004,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.0024141802047569698,
637
+ "grad_norm": 14.189363479614258,
638
+ "learning_rate": 5.369999999999999e-05,
639
+ "loss": 8.3998,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.002448668493396355,
644
+ "grad_norm": 16.281265258789062,
645
+ "learning_rate": 5.429999999999999e-05,
646
+ "loss": 8.3943,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.0024831567820357402,
651
+ "grad_norm": 14.237013816833496,
652
+ "learning_rate": 5.489999999999999e-05,
653
+ "loss": 8.382,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.0025176450706751257,
658
+ "grad_norm": 7.917139530181885,
659
+ "learning_rate": 5.5499999999999994e-05,
660
+ "loss": 8.3985,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.0025521333593145107,
665
+ "grad_norm": 13.905786514282227,
666
+ "learning_rate": 5.6099999999999995e-05,
667
+ "loss": 8.3868,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.002586621647953896,
672
+ "grad_norm": 14.011921882629395,
673
+ "learning_rate": 5.6699999999999996e-05,
674
+ "loss": 8.3773,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.002621109936593281,
679
+ "grad_norm": 10.070409774780273,
680
+ "learning_rate": 5.73e-05,
681
+ "loss": 8.3894,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.0026555982252326666,
686
+ "grad_norm": 12.96844482421875,
687
+ "learning_rate": 5.79e-05,
688
+ "loss": 8.3818,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.002690086513872052,
693
+ "grad_norm": 14.524611473083496,
694
+ "learning_rate": 5.85e-05,
695
+ "loss": 8.3793,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.002724574802511437,
700
+ "grad_norm": 23.980628967285156,
701
+ "learning_rate": 5.91e-05,
702
+ "loss": 8.3702,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.0027590630911508225,
707
+ "grad_norm": 79.6168441772461,
708
+ "learning_rate": 5.97e-05,
709
+ "loss": 8.3695,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.0027935513797902075,
714
+ "grad_norm": 11.407526016235352,
715
+ "learning_rate": 6.0299999999999995e-05,
716
+ "loss": 8.3857,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.002828039668429593,
721
+ "grad_norm": 12.697784423828125,
722
+ "learning_rate": 6.0899999999999996e-05,
723
+ "loss": 8.3714,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.0028625279570689784,
728
+ "grad_norm": 7.642915725708008,
729
+ "learning_rate": 6.149999999999999e-05,
730
+ "loss": 8.3924,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.0028970162457083635,
735
+ "grad_norm": 13.278314590454102,
736
+ "learning_rate": 6.209999999999999e-05,
737
+ "loss": 8.3676,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.002931504534347749,
742
+ "grad_norm": 9.300806045532227,
743
+ "learning_rate": 6.269999999999999e-05,
744
+ "loss": 8.3769,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.002965992822987134,
749
+ "grad_norm": 10.766736030578613,
750
+ "learning_rate": 6.33e-05,
751
+ "loss": 8.3722,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.0030004811116265194,
756
+ "grad_norm": 16.214441299438477,
757
+ "learning_rate": 6.39e-05,
758
+ "loss": 8.3866,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.003034969400265905,
763
+ "grad_norm": 12.498828887939453,
764
+ "learning_rate": 6.45e-05,
765
+ "loss": 8.3778,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.00306945768890529,
770
+ "grad_norm": 12.378737449645996,
771
+ "learning_rate": 6.503999999999999e-05,
772
+ "loss": 8.3748,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.0031039459775446753,
777
+ "grad_norm": 7.89847993850708,
778
+ "learning_rate": 6.563999999999999e-05,
779
+ "loss": 8.3751,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.0031384342661840607,
784
+ "grad_norm": 11.73416805267334,
785
+ "learning_rate": 6.623999999999999e-05,
786
+ "loss": 8.3712,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.0031729225548234458,
791
+ "grad_norm": 8.572582244873047,
792
+ "learning_rate": 6.683999999999999e-05,
793
+ "loss": 8.3753,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.003207410843462831,
798
+ "grad_norm": 13.893655776977539,
799
+ "learning_rate": 6.743999999999999e-05,
800
+ "loss": 8.3667,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.0032418991321022162,
805
+ "grad_norm": 7.900502681732178,
806
+ "learning_rate": 6.803999999999999e-05,
807
+ "loss": 8.3636,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.0032763874207416017,
812
+ "grad_norm": 12.325122833251953,
813
+ "learning_rate": 6.864e-05,
814
+ "loss": 8.3722,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.003310875709380987,
819
+ "grad_norm": 12.237879753112793,
820
+ "learning_rate": 6.924e-05,
821
+ "loss": 8.3573,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.003345363998020372,
826
+ "grad_norm": 16.15164566040039,
827
+ "learning_rate": 6.984e-05,
828
+ "loss": 8.3626,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.0033798522866597576,
833
+ "grad_norm": 16.162899017333984,
834
+ "learning_rate": 7.044e-05,
835
+ "loss": 8.3827,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.0034143405752991426,
840
+ "grad_norm": 22.04014015197754,
841
+ "learning_rate": 7.104e-05,
842
+ "loss": 8.3637,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.003448828863938528,
847
+ "grad_norm": 11.339788436889648,
848
+ "learning_rate": 7.164e-05,
849
+ "loss": 8.3725,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.0034833171525779135,
854
+ "grad_norm": 13.985651016235352,
855
+ "learning_rate": 7.223999999999999e-05,
856
+ "loss": 8.3759,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.0035178054412172985,
861
+ "grad_norm": 12.80493450164795,
862
+ "learning_rate": 7.283999999999999e-05,
863
+ "loss": 8.3635,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.003552293729856684,
868
+ "grad_norm": 10.030963897705078,
869
+ "learning_rate": 7.343999999999999e-05,
870
+ "loss": 8.3563,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.003586782018496069,
875
+ "grad_norm": 10.714138984680176,
876
+ "learning_rate": 7.403999999999999e-05,
877
+ "loss": 8.3529,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.0036212703071354544,
882
+ "grad_norm": 14.480472564697266,
883
+ "learning_rate": 7.463999999999999e-05,
884
+ "loss": 8.3377,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.00365575859577484,
889
+ "grad_norm": 6.988164901733398,
890
+ "learning_rate": 7.524e-05,
891
+ "loss": 8.3632,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.003690246884414225,
896
+ "grad_norm": 9.82447338104248,
897
+ "learning_rate": 7.584e-05,
898
+ "loss": 8.3417,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.0037247351730536104,
903
+ "grad_norm": 11.450285911560059,
904
+ "learning_rate": 7.644e-05,
905
+ "loss": 8.3563,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.003759223461692996,
910
+ "grad_norm": 10.065130233764648,
911
+ "learning_rate": 7.703999999999998e-05,
912
+ "loss": 8.3482,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.003793711750332381,
917
+ "grad_norm": 13.670631408691406,
918
+ "learning_rate": 7.763999999999998e-05,
919
+ "loss": 8.3319,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.0038282000389717663,
924
+ "grad_norm": 11.154393196105957,
925
+ "learning_rate": 7.823999999999998e-05,
926
+ "loss": 8.3378,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.0038626883276111513,
931
+ "grad_norm": 13.057133674621582,
932
+ "learning_rate": 7.883999999999998e-05,
933
+ "loss": 8.3481,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.0038971766162505367,
938
+ "grad_norm": 8.13063907623291,
939
+ "learning_rate": 7.943999999999998e-05,
940
+ "loss": 8.3619,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.003931664904889922,
945
+ "grad_norm": 7.690333843231201,
946
+ "learning_rate": 8.003999999999999e-05,
947
+ "loss": 8.3349,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.003966153193529307,
952
+ "grad_norm": 8.945077896118164,
953
+ "learning_rate": 8.063999999999999e-05,
954
+ "loss": 8.3609,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.004000641482168692,
959
+ "grad_norm": 11.839431762695312,
960
+ "learning_rate": 8.123999999999999e-05,
961
+ "loss": 8.3552,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.004035129770808078,
966
+ "grad_norm": 9.798072814941406,
967
+ "learning_rate": 8.183999999999999e-05,
968
+ "loss": 8.3124,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.004069618059447463,
973
+ "grad_norm": 13.58779239654541,
974
+ "learning_rate": 8.243999999999999e-05,
975
+ "loss": 8.3544,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.004104106348086848,
980
+ "grad_norm": 12.656436920166016,
981
+ "learning_rate": 8.303999999999999e-05,
982
+ "loss": 8.3457,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.004138594636726234,
987
+ "grad_norm": 9.099520683288574,
988
+ "learning_rate": 8.363999999999999e-05,
989
+ "loss": 8.3605,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.004173082925365619,
994
+ "grad_norm": 19.523441314697266,
995
+ "learning_rate": 8.423999999999999e-05,
996
+ "loss": 8.3333,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.004207571214005004,
1001
+ "grad_norm": 13.605344772338867,
1002
+ "learning_rate": 8.484e-05,
1003
+ "loss": 8.3487,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.00424205950264439,
1008
+ "grad_norm": 15.3053560256958,
1009
+ "learning_rate": 8.544e-05,
1010
+ "loss": 8.3397,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.004276547791283775,
1015
+ "grad_norm": 7.251153469085693,
1016
+ "learning_rate": 8.604e-05,
1017
+ "loss": 8.349,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.00431103607992316,
1022
+ "grad_norm": 9.477354049682617,
1023
+ "learning_rate": 8.664e-05,
1024
+ "loss": 8.3419,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.004345524368562545,
1029
+ "grad_norm": 14.80703067779541,
1030
+ "learning_rate": 8.724e-05,
1031
+ "loss": 8.319,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.004380012657201931,
1036
+ "grad_norm": 14.25675106048584,
1037
+ "learning_rate": 8.784e-05,
1038
+ "loss": 8.35,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.004414500945841316,
1043
+ "grad_norm": 10.686800003051758,
1044
+ "learning_rate": 8.844e-05,
1045
+ "loss": 8.3404,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.004448989234480701,
1050
+ "grad_norm": 9.987860679626465,
1051
+ "learning_rate": 8.904e-05,
1052
+ "loss": 8.3332,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.004483477523120087,
1057
+ "grad_norm": 7.363917350769043,
1058
+ "learning_rate": 8.963999999999999e-05,
1059
+ "loss": 8.3299,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.004517965811759472,
1064
+ "grad_norm": 14.461793899536133,
1065
+ "learning_rate": 9.023999999999999e-05,
1066
+ "loss": 8.3306,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.004552454100398857,
1071
+ "grad_norm": 8.630695343017578,
1072
+ "learning_rate": 9.083999999999999e-05,
1073
+ "loss": 8.3417,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.004586942389038243,
1078
+ "grad_norm": 8.256804466247559,
1079
+ "learning_rate": 9.143999999999999e-05,
1080
+ "loss": 8.3341,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.004621430677677628,
1085
+ "grad_norm": 13.018980026245117,
1086
+ "learning_rate": 9.203999999999999e-05,
1087
+ "loss": 8.3408,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.004655918966317013,
1092
+ "grad_norm": 8.717267036437988,
1093
+ "learning_rate": 9.264e-05,
1094
+ "loss": 8.3248,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.004690407254956399,
1099
+ "grad_norm": 15.733688354492188,
1100
+ "learning_rate": 9.324e-05,
1101
+ "loss": 8.3205,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.004724895543595784,
1106
+ "grad_norm": 15.750919342041016,
1107
+ "learning_rate": 9.384e-05,
1108
+ "loss": 8.3227,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.004759383832235169,
1113
+ "grad_norm": 12.715235710144043,
1114
+ "learning_rate": 9.444e-05,
1115
+ "loss": 8.3421,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.004793872120874554,
1120
+ "grad_norm": 12.098243713378906,
1121
+ "learning_rate": 9.504e-05,
1122
+ "loss": 8.3332,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.0048283604095139395,
1127
+ "grad_norm": 8.364949226379395,
1128
+ "learning_rate": 9.563999999999999e-05,
1129
+ "loss": 8.3246,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.0048628486981533246,
1134
+ "grad_norm": 12.680130004882812,
1135
+ "learning_rate": 9.623999999999999e-05,
1136
+ "loss": 8.3347,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.00489733698679271,
1141
+ "grad_norm": 5.828690052032471,
1142
+ "learning_rate": 9.683999999999999e-05,
1143
+ "loss": 8.3288,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.0049318252754320955,
1148
+ "grad_norm": 10.879535675048828,
1149
+ "learning_rate": 9.743999999999999e-05,
1150
+ "loss": 8.3261,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.0049663135640714805,
1155
+ "grad_norm": 10.933409690856934,
1156
+ "learning_rate": 9.803999999999999e-05,
1157
+ "loss": 8.3129,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.0050008018527108655,
1162
+ "grad_norm": 9.908263206481934,
1163
+ "learning_rate": 9.863999999999999e-05,
1164
+ "loss": 8.3215,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.005035290141350251,
1169
+ "grad_norm": 9.367692947387695,
1170
+ "learning_rate": 9.923999999999999e-05,
1171
+ "loss": 8.3161,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.005069778429989636,
1176
+ "grad_norm": 17.53960418701172,
1177
+ "learning_rate": 9.983999999999999e-05,
1178
+ "loss": 8.3095,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.005104266718629021,
1183
+ "grad_norm": 12.228901863098145,
1184
+ "learning_rate": 0.00010044,
1185
+ "loss": 8.3064,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.005138755007268406,
1190
+ "grad_norm": 9.411287307739258,
1191
+ "learning_rate": 0.00010103999999999998,
1192
+ "loss": 8.3047,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.005173243295907792,
1197
+ "grad_norm": 12.89146900177002,
1198
+ "learning_rate": 0.00010163999999999998,
1199
+ "loss": 8.313,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.005207731584547177,
1204
+ "grad_norm": 13.037481307983398,
1205
+ "learning_rate": 0.00010223999999999998,
1206
+ "loss": 8.3005,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.005242219873186562,
1211
+ "grad_norm": 18.167877197265625,
1212
+ "learning_rate": 0.00010283999999999998,
1213
+ "loss": 8.3194,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.005276708161825948,
1218
+ "grad_norm": 11.53596019744873,
1219
+ "learning_rate": 0.00010343999999999999,
1220
+ "loss": 8.3103,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.005311196450465333,
1225
+ "grad_norm": 14.443565368652344,
1226
+ "learning_rate": 0.00010403999999999999,
1227
+ "loss": 8.3078,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.005345684739104718,
1232
+ "grad_norm": 12.966043472290039,
1233
+ "learning_rate": 0.00010463999999999999,
1234
+ "loss": 8.3133,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.005380173027744104,
1239
+ "grad_norm": 9.95252513885498,
1240
+ "learning_rate": 0.00010523999999999999,
1241
+ "loss": 8.3033,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.005414661316383489,
1246
+ "grad_norm": 15.110918045043945,
1247
+ "learning_rate": 0.00010583999999999999,
1248
+ "loss": 8.3018,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.005449149605022874,
1253
+ "grad_norm": 9.710939407348633,
1254
+ "learning_rate": 0.00010643999999999999,
1255
+ "loss": 8.3056,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.00548363789366226,
1260
+ "grad_norm": 14.128268241882324,
1261
+ "learning_rate": 0.00010703999999999999,
1262
+ "loss": 8.3116,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.005518126182301645,
1267
+ "grad_norm": 12.291546821594238,
1268
+ "learning_rate": 0.00010763999999999999,
1269
+ "loss": 8.3087,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.00555261447094103,
1274
+ "grad_norm": 8.979240417480469,
1275
+ "learning_rate": 0.00010824,
1276
+ "loss": 8.297,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.005587102759580415,
1281
+ "grad_norm": 16.653636932373047,
1282
+ "learning_rate": 0.00010884,
1283
+ "loss": 8.3032,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.005621591048219801,
1288
+ "grad_norm": 7.231003761291504,
1289
+ "learning_rate": 0.00010944,
1290
+ "loss": 8.3017,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.005656079336859186,
1295
+ "grad_norm": 11.044018745422363,
1296
+ "learning_rate": 0.00011004,
1297
+ "loss": 8.2998,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.005690567625498571,
1302
+ "grad_norm": 7.183733940124512,
1303
+ "learning_rate": 0.00011064,
1304
+ "loss": 8.2792,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.005725055914137957,
1309
+ "grad_norm": 6.851602554321289,
1310
+ "learning_rate": 0.00011124,
1311
+ "loss": 8.3057,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.005759544202777342,
1316
+ "grad_norm": 6.955447196960449,
1317
+ "learning_rate": 0.00011184,
1318
+ "loss": 8.2914,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.005794032491416727,
1323
+ "grad_norm": 9.28893756866455,
1324
+ "learning_rate": 0.00011244,
1325
+ "loss": 8.296,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.005828520780056113,
1330
+ "grad_norm": 12.825960159301758,
1331
+ "learning_rate": 0.00011304,
1332
+ "loss": 8.29,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.005863009068695498,
1337
+ "grad_norm": 7.817082405090332,
1338
+ "learning_rate": 0.00011364,
1339
+ "loss": 8.2943,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.005897497357334883,
1344
+ "grad_norm": 5.764162063598633,
1345
+ "learning_rate": 0.00011424,
1346
+ "loss": 8.2943,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.005931985645974268,
1351
+ "grad_norm": 6.886749267578125,
1352
+ "learning_rate": 0.00011483999999999998,
1353
+ "loss": 8.2861,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.005966473934613654,
1358
+ "grad_norm": 6.364310264587402,
1359
+ "learning_rate": 0.00011543999999999998,
1360
+ "loss": 8.2987,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.006000962223253039,
1365
+ "grad_norm": 6.065140247344971,
1366
+ "learning_rate": 0.00011603999999999998,
1367
+ "loss": 8.2828,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.006035450511892424,
1372
+ "grad_norm": 11.439751625061035,
1373
+ "learning_rate": 0.00011663999999999998,
1374
+ "loss": 8.2804,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.00606993880053181,
1379
+ "grad_norm": 7.701569080352783,
1380
+ "learning_rate": 0.00011723999999999998,
1381
+ "loss": 8.2792,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.006104427089171195,
1386
+ "grad_norm": 27.84369659423828,
1387
+ "learning_rate": 0.00011783999999999998,
1388
+ "loss": 8.283,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.00613891537781058,
1393
+ "grad_norm": 16.438413619995117,
1394
+ "learning_rate": 0.00011843999999999998,
1395
+ "loss": 8.3069,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.006173403666449966,
1400
+ "grad_norm": 10.777158737182617,
1401
+ "learning_rate": 0.00011903999999999999,
1402
+ "loss": 8.2894,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.006207891955089351,
1407
+ "grad_norm": 11.02175235748291,
1408
+ "learning_rate": 0.00011963999999999999,
1409
+ "loss": 8.2933,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.006242380243728736,
1414
+ "grad_norm": 12.038606643676758,
1415
+ "learning_rate": 0.00012023999999999999,
1416
+ "loss": 8.2855,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.0062768685323681215,
1421
+ "grad_norm": 15.360584259033203,
1422
+ "learning_rate": 0.00012083999999999999,
1423
+ "loss": 8.2823,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.0063113568210075065,
1428
+ "grad_norm": 8.902900695800781,
1429
+ "learning_rate": 0.00012143999999999999,
1430
+ "loss": 8.2887,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.0063458451096468915,
1435
+ "grad_norm": 8.834257125854492,
1436
+ "learning_rate": 0.00012203999999999999,
1437
+ "loss": 8.267,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.0063803333982862765,
1442
+ "grad_norm": 8.919024467468262,
1443
+ "learning_rate": 0.00012263999999999998,
1444
+ "loss": 8.2935,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.006414821686925662,
1449
+ "grad_norm": 11.514122009277344,
1450
+ "learning_rate": 0.00012324,
1451
+ "loss": 8.2532,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.0064493099755650474,
1456
+ "grad_norm": 14.257649421691895,
1457
+ "learning_rate": 0.00012383999999999998,
1458
+ "loss": 8.2589,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.0064837982642044325,
1463
+ "grad_norm": 9.895721435546875,
1464
+ "learning_rate": 0.00012444,
1465
+ "loss": 8.2733,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.006518286552843818,
1470
+ "grad_norm": 9.748128890991211,
1471
+ "learning_rate": 0.00012503999999999998,
1472
+ "loss": 8.2575,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.006552774841483203,
1477
+ "grad_norm": 9.160621643066406,
1478
+ "learning_rate": 0.00012564,
1479
+ "loss": 8.285,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.006587263130122588,
1484
+ "grad_norm": 14.095819473266602,
1485
+ "learning_rate": 0.00012623999999999998,
1486
+ "loss": 8.2613,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.006621751418761974,
1491
+ "grad_norm": 10.618462562561035,
1492
+ "learning_rate": 0.00012684,
1493
+ "loss": 8.2808,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.006656239707401359,
1498
+ "grad_norm": 9.176691055297852,
1499
+ "learning_rate": 0.00012743999999999999,
1500
+ "loss": 8.2753,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.006690727996040744,
1505
+ "grad_norm": 12.300357818603516,
1506
+ "learning_rate": 0.00012804,
1507
+ "loss": 8.2777,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.00672521628468013,
1512
+ "grad_norm": 15.15916919708252,
1513
+ "learning_rate": 0.00012864,
1514
+ "loss": 8.2636,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.006759704573319515,
1519
+ "grad_norm": 13.030776977539062,
1520
+ "learning_rate": 0.00012924,
1521
+ "loss": 8.262,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.0067941928619589,
1526
+ "grad_norm": 9.670841217041016,
1527
+ "learning_rate": 0.00012984,
1528
+ "loss": 8.2866,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.006828681150598285,
1533
+ "grad_norm": 15.426817893981934,
1534
+ "learning_rate": 0.00013044,
1535
+ "loss": 8.2659,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.006863169439237671,
1540
+ "grad_norm": 11.12787914276123,
1541
+ "learning_rate": 0.00013104,
1542
+ "loss": 8.2738,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.006897657727877056,
1547
+ "grad_norm": 8.150566101074219,
1548
+ "learning_rate": 0.00013164,
1549
+ "loss": 8.2478,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.006932146016516441,
1554
+ "grad_norm": 10.044174194335938,
1555
+ "learning_rate": 0.00013224,
1556
+ "loss": 8.2494,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.006966634305155827,
1561
+ "grad_norm": 7.456984996795654,
1562
+ "learning_rate": 0.00013284,
1563
+ "loss": 8.2632,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.007001122593795212,
1568
+ "grad_norm": 11.210662841796875,
1569
+ "learning_rate": 0.00013343999999999997,
1570
+ "loss": 8.2636,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.007035610882434597,
1575
+ "grad_norm": 13.365647315979004,
1576
+ "learning_rate": 0.00013403999999999998,
1577
+ "loss": 8.2558,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.007070099171073983,
1582
+ "grad_norm": 10.76402473449707,
1583
+ "learning_rate": 0.00013463999999999997,
1584
+ "loss": 8.2466,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.007104587459713368,
1589
+ "grad_norm": 12.834994316101074,
1590
+ "learning_rate": 0.00013523999999999999,
1591
+ "loss": 8.247,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.007139075748352753,
1596
+ "grad_norm": 13.960427284240723,
1597
+ "learning_rate": 0.00013583999999999997,
1598
+ "loss": 8.2624,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.007173564036992138,
1603
+ "grad_norm": 11.685848236083984,
1604
+ "learning_rate": 0.00013644,
1605
+ "loss": 8.255,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.007208052325631524,
1610
+ "grad_norm": 10.026966094970703,
1611
+ "learning_rate": 0.00013703999999999998,
1612
+ "loss": 8.2459,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.007242540614270909,
1617
+ "grad_norm": 8.979503631591797,
1618
+ "learning_rate": 0.00013764,
1619
+ "loss": 8.2485,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.007277028902910294,
1624
+ "grad_norm": 12.863329887390137,
1625
+ "learning_rate": 0.00013823999999999998,
1626
+ "loss": 8.2427,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.00731151719154968,
1631
+ "grad_norm": 8.985013961791992,
1632
+ "learning_rate": 0.00013884,
1633
+ "loss": 8.2594,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.007346005480189065,
1638
+ "grad_norm": 14.681097030639648,
1639
+ "learning_rate": 0.00013943999999999998,
1640
+ "loss": 8.2528,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.00738049376882845,
1645
+ "grad_norm": 17.21650505065918,
1646
+ "learning_rate": 0.00014004,
1647
+ "loss": 8.2437,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.007414982057467836,
1652
+ "grad_norm": 5.822660446166992,
1653
+ "learning_rate": 0.00014063999999999998,
1654
+ "loss": 8.2456,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.007449470346107221,
1659
+ "grad_norm": 5.644645690917969,
1660
+ "learning_rate": 0.00014124,
1661
+ "loss": 8.2322,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.007483958634746606,
1666
+ "grad_norm": 5.099442005157471,
1667
+ "learning_rate": 0.00014183999999999998,
1668
+ "loss": 8.2522,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.007518446923385992,
1673
+ "grad_norm": 10.48246955871582,
1674
+ "learning_rate": 0.00014244,
1675
+ "loss": 8.2434,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.007552935212025377,
1680
+ "grad_norm": 9.684501647949219,
1681
+ "learning_rate": 0.00014303999999999999,
1682
+ "loss": 8.2283,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.007587423500664762,
1687
+ "grad_norm": 14.485626220703125,
1688
+ "learning_rate": 0.00014364,
1689
+ "loss": 8.2252,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.007621911789304147,
1694
+ "grad_norm": 9.568318367004395,
1695
+ "learning_rate": 0.00014424,
1696
+ "loss": 8.2169,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.0076564000779435325,
1701
+ "grad_norm": 13.435136795043945,
1702
+ "learning_rate": 0.00014484,
1703
+ "loss": 8.2358,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.0076908883665829176,
1708
+ "grad_norm": 8.654492378234863,
1709
+ "learning_rate": 0.00014544,
1710
+ "loss": 8.2305,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.007725376655222303,
1715
+ "grad_norm": 8.88370418548584,
1716
+ "learning_rate": 0.00014603999999999998,
1717
+ "loss": 8.2422,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.0077598649438616885,
1722
+ "grad_norm": 16.867353439331055,
1723
+ "learning_rate": 0.00014664,
1724
+ "loss": 8.2255,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.0077943532325010735,
1729
+ "grad_norm": 15.305095672607422,
1730
+ "learning_rate": 0.00014723999999999998,
1731
+ "loss": 8.2227,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.007828841521140458,
1736
+ "grad_norm": 10.0158052444458,
1737
+ "learning_rate": 0.00014784,
1738
+ "loss": 8.2215,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.007863329809779844,
1743
+ "grad_norm": 13.85173225402832,
1744
+ "learning_rate": 0.00014843999999999998,
1745
+ "loss": 8.2297,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.007897818098419229,
1750
+ "grad_norm": 7.829097747802734,
1751
+ "learning_rate": 0.00014904,
1752
+ "loss": 8.2212,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.007932306387058614,
1757
+ "grad_norm": 14.449021339416504,
1758
+ "learning_rate": 0.00014963999999999998,
1759
+ "loss": 8.2244,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.007966794675698,
1764
+ "grad_norm": 10.232049942016602,
1765
+ "learning_rate": 0.00015024,
1766
+ "loss": 8.2225,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.008001282964337384,
1771
+ "grad_norm": 7.4921875,
1772
+ "learning_rate": 0.00015083999999999999,
1773
+ "loss": 8.2141,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.00803577125297677,
1778
+ "grad_norm": 9.413374900817871,
1779
+ "learning_rate": 0.00015144,
1780
+ "loss": 8.2167,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.008070259541616156,
1785
+ "grad_norm": 8.397259712219238,
1786
+ "learning_rate": 0.00015204,
1787
+ "loss": 8.2153,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.00810474783025554,
1792
+ "grad_norm": 12.561037063598633,
1793
+ "learning_rate": 0.00015264,
1794
+ "loss": 8.2165,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.008139236118894926,
1799
+ "grad_norm": 7.44576358795166,
1800
+ "learning_rate": 0.00015324,
1801
+ "loss": 8.2223,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.008173724407534312,
1806
+ "grad_norm": 7.779847621917725,
1807
+ "learning_rate": 0.00015384,
1808
+ "loss": 8.2148,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.008208212696173696,
1813
+ "grad_norm": 7.283217430114746,
1814
+ "learning_rate": 0.00015444,
1815
+ "loss": 8.2217,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.008242700984813082,
1820
+ "grad_norm": 5.9629106521606445,
1821
+ "learning_rate": 0.00015504,
1822
+ "loss": 8.2161,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.008277189273452468,
1827
+ "grad_norm": 8.903937339782715,
1828
+ "learning_rate": 0.00015564,
1829
+ "loss": 8.2195,
1830
+ "step": 2600
1831
+ }
1832
+ ],
1833
+ "logging_steps": 10,
1834
+ "max_steps": 10000000,
1835
+ "num_input_tokens_seen": 0,
1836
+ "num_train_epochs": 35,
1837
+ "save_steps": 100,
1838
+ "stateful_callbacks": {
1839
+ "TrainerControl": {
1840
+ "args": {
1841
+ "should_epoch_stop": false,
1842
+ "should_evaluate": false,
1843
+ "should_log": false,
1844
+ "should_save": true,
1845
+ "should_training_stop": false
1846
+ },
1847
+ "attributes": {}
1848
+ }
1849
+ },
1850
+ "total_flos": 1.2573915521236992e+16,
1851
+ "train_batch_size": 8,
1852
+ "trial_name": null,
1853
+ "trial_params": null
1854
+ }
checkpoint-2600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a51182451ce226f524b4245bb98c4f2eb82c17aaf6895f5b914588d78fefda14
3
+ size 5201