antonypamo commited on
Commit
9ff3e1d
·
verified ·
1 Parent(s): 9231fd7

🚀 Upload Savant–Neo Φ9.4 hybrid model

Browse files
checkpoint-7500/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_cross_attention": true,
3
+ "architectures": [
4
+ "BertLMHeadModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "dtype": "float32",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 384,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 1536,
15
+ "is_decoder": true,
16
+ "layer_norm_eps": 1e-12,
17
+ "max_position_embeddings": 512,
18
+ "model_type": "bert",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 6,
21
+ "pad_token_id": 0,
22
+ "position_embedding_type": "absolute",
23
+ "transformers_version": "4.57.1",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
checkpoint-7500/generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.57.1"
5
+ }
checkpoint-7500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2bf5efaffc5881b293cd562b32fcbbff88eb4f87a27492838d86ed533c6fcde
3
+ size 90990200
checkpoint-7500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a85e5e3d1dc5fb77172c22504cfe7a1d59adc7d07dc7b46c5790257e2042e019
3
+ size 182045763
checkpoint-7500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:414f7111173bfce721fed26faa806dd108f69d7b7fa3e19686cef203983939a6
3
+ size 14565
checkpoint-7500/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc99cd17a64f2282f11fb8d0496be9bbede48f585c93fecdd6c50a4718dd4592
3
+ size 1389
checkpoint-7500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:07e85f6df6c35a6bff7c605ed8b90329f8480f18c29d4665ee1a1dfdf3214a2b
3
+ size 1453
checkpoint-7500/trainer_state.json ADDED
@@ -0,0 +1,2134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9486465975208702,
6
+ "eval_steps": 500,
7
+ "global_step": 7500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0031621553250695674,
14
+ "grad_norm": 11.55327320098877,
15
+ "learning_rate": 1.9939286617758668e-05,
16
+ "loss": 8.596,
17
+ "step": 25
18
+ },
19
+ {
20
+ "epoch": 0.006324310650139135,
21
+ "grad_norm": 5.928526401519775,
22
+ "learning_rate": 1.9876043511257274e-05,
23
+ "loss": 5.501,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.009486465975208701,
28
+ "grad_norm": 2.7216451168060303,
29
+ "learning_rate": 1.9812800404755884e-05,
30
+ "loss": 4.9742,
31
+ "step": 75
32
+ },
33
+ {
34
+ "epoch": 0.01264862130027827,
35
+ "grad_norm": 2.725499153137207,
36
+ "learning_rate": 1.974955729825449e-05,
37
+ "loss": 4.6023,
38
+ "step": 100
39
+ },
40
+ {
41
+ "epoch": 0.015810776625347838,
42
+ "grad_norm": 2.318068027496338,
43
+ "learning_rate": 1.96863141917531e-05,
44
+ "loss": 4.4124,
45
+ "step": 125
46
+ },
47
+ {
48
+ "epoch": 0.018972931950417403,
49
+ "grad_norm": 2.437415838241577,
50
+ "learning_rate": 1.9623071085251707e-05,
51
+ "loss": 4.5471,
52
+ "step": 150
53
+ },
54
+ {
55
+ "epoch": 0.02213508727548697,
56
+ "grad_norm": 1.6126755475997925,
57
+ "learning_rate": 1.955982797875032e-05,
58
+ "loss": 4.0951,
59
+ "step": 175
60
+ },
61
+ {
62
+ "epoch": 0.02529724260055654,
63
+ "grad_norm": 1.9190938472747803,
64
+ "learning_rate": 1.9496584872248927e-05,
65
+ "loss": 4.0572,
66
+ "step": 200
67
+ },
68
+ {
69
+ "epoch": 0.028459397925626108,
70
+ "grad_norm": 1.6798152923583984,
71
+ "learning_rate": 1.9433341765747537e-05,
72
+ "loss": 3.9318,
73
+ "step": 225
74
+ },
75
+ {
76
+ "epoch": 0.031621553250695676,
77
+ "grad_norm": 2.02826189994812,
78
+ "learning_rate": 1.9370098659246143e-05,
79
+ "loss": 3.9254,
80
+ "step": 250
81
+ },
82
+ {
83
+ "epoch": 0.034783708575765244,
84
+ "grad_norm": 1.6234019994735718,
85
+ "learning_rate": 1.9306855552744753e-05,
86
+ "loss": 3.7144,
87
+ "step": 275
88
+ },
89
+ {
90
+ "epoch": 0.037945863900834806,
91
+ "grad_norm": 2.1222445964813232,
92
+ "learning_rate": 1.924361244624336e-05,
93
+ "loss": 4.0748,
94
+ "step": 300
95
+ },
96
+ {
97
+ "epoch": 0.041108019225904374,
98
+ "grad_norm": 1.8071123361587524,
99
+ "learning_rate": 1.918036933974197e-05,
100
+ "loss": 3.8597,
101
+ "step": 325
102
+ },
103
+ {
104
+ "epoch": 0.04427017455097394,
105
+ "grad_norm": 1.2955825328826904,
106
+ "learning_rate": 1.911712623324058e-05,
107
+ "loss": 3.6891,
108
+ "step": 350
109
+ },
110
+ {
111
+ "epoch": 0.04743232987604351,
112
+ "grad_norm": 1.9034608602523804,
113
+ "learning_rate": 1.905388312673919e-05,
114
+ "loss": 3.8955,
115
+ "step": 375
116
+ },
117
+ {
118
+ "epoch": 0.05059448520111308,
119
+ "grad_norm": 1.649466872215271,
120
+ "learning_rate": 1.8990640020237796e-05,
121
+ "loss": 3.8186,
122
+ "step": 400
123
+ },
124
+ {
125
+ "epoch": 0.05375664052618265,
126
+ "grad_norm": 1.8459181785583496,
127
+ "learning_rate": 1.8927396913736406e-05,
128
+ "loss": 3.5247,
129
+ "step": 425
130
+ },
131
+ {
132
+ "epoch": 0.056918795851252216,
133
+ "grad_norm": 1.5839076042175293,
134
+ "learning_rate": 1.8864153807235012e-05,
135
+ "loss": 3.756,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.060080951176321784,
140
+ "grad_norm": 1.5614947080612183,
141
+ "learning_rate": 1.8800910700733622e-05,
142
+ "loss": 3.6433,
143
+ "step": 475
144
+ },
145
+ {
146
+ "epoch": 0.06324310650139135,
147
+ "grad_norm": 1.7831311225891113,
148
+ "learning_rate": 1.873766759423223e-05,
149
+ "loss": 3.9025,
150
+ "step": 500
151
+ },
152
+ {
153
+ "epoch": 0.06640526182646092,
154
+ "grad_norm": 1.4928420782089233,
155
+ "learning_rate": 1.867442448773084e-05,
156
+ "loss": 3.4216,
157
+ "step": 525
158
+ },
159
+ {
160
+ "epoch": 0.06956741715153049,
161
+ "grad_norm": 1.8199015855789185,
162
+ "learning_rate": 1.861118138122945e-05,
163
+ "loss": 3.7497,
164
+ "step": 550
165
+ },
166
+ {
167
+ "epoch": 0.07272957247660006,
168
+ "grad_norm": 1.6205722093582153,
169
+ "learning_rate": 1.854793827472806e-05,
170
+ "loss": 3.4153,
171
+ "step": 575
172
+ },
173
+ {
174
+ "epoch": 0.07589172780166961,
175
+ "grad_norm": 1.4476927518844604,
176
+ "learning_rate": 1.8484695168226665e-05,
177
+ "loss": 3.6298,
178
+ "step": 600
179
+ },
180
+ {
181
+ "epoch": 0.07905388312673918,
182
+ "grad_norm": 1.5358431339263916,
183
+ "learning_rate": 1.8421452061725275e-05,
184
+ "loss": 3.5282,
185
+ "step": 625
186
+ },
187
+ {
188
+ "epoch": 0.08221603845180875,
189
+ "grad_norm": 1.616495966911316,
190
+ "learning_rate": 1.835820895522388e-05,
191
+ "loss": 3.6029,
192
+ "step": 650
193
+ },
194
+ {
195
+ "epoch": 0.08537819377687832,
196
+ "grad_norm": 1.4835790395736694,
197
+ "learning_rate": 1.829496584872249e-05,
198
+ "loss": 3.6817,
199
+ "step": 675
200
+ },
201
+ {
202
+ "epoch": 0.08854034910194788,
203
+ "grad_norm": 1.8951404094696045,
204
+ "learning_rate": 1.8231722742221098e-05,
205
+ "loss": 3.5222,
206
+ "step": 700
207
+ },
208
+ {
209
+ "epoch": 0.09170250442701745,
210
+ "grad_norm": 1.4792296886444092,
211
+ "learning_rate": 1.8168479635719707e-05,
212
+ "loss": 3.552,
213
+ "step": 725
214
+ },
215
+ {
216
+ "epoch": 0.09486465975208702,
217
+ "grad_norm": 1.5331674814224243,
218
+ "learning_rate": 1.8105236529218317e-05,
219
+ "loss": 3.6274,
220
+ "step": 750
221
+ },
222
+ {
223
+ "epoch": 0.09802681507715659,
224
+ "grad_norm": 1.3521767854690552,
225
+ "learning_rate": 1.8041993422716927e-05,
226
+ "loss": 3.4604,
227
+ "step": 775
228
+ },
229
+ {
230
+ "epoch": 0.10118897040222616,
231
+ "grad_norm": 1.9199748039245605,
232
+ "learning_rate": 1.7978750316215534e-05,
233
+ "loss": 3.6434,
234
+ "step": 800
235
+ },
236
+ {
237
+ "epoch": 0.10435112572729573,
238
+ "grad_norm": 1.4599398374557495,
239
+ "learning_rate": 1.7915507209714144e-05,
240
+ "loss": 3.4381,
241
+ "step": 825
242
+ },
243
+ {
244
+ "epoch": 0.1075132810523653,
245
+ "grad_norm": 1.8845282793045044,
246
+ "learning_rate": 1.785226410321275e-05,
247
+ "loss": 3.4885,
248
+ "step": 850
249
+ },
250
+ {
251
+ "epoch": 0.11067543637743486,
252
+ "grad_norm": 1.6054080724716187,
253
+ "learning_rate": 1.778902099671136e-05,
254
+ "loss": 3.4714,
255
+ "step": 875
256
+ },
257
+ {
258
+ "epoch": 0.11383759170250443,
259
+ "grad_norm": 1.4243124723434448,
260
+ "learning_rate": 1.7725777890209967e-05,
261
+ "loss": 3.423,
262
+ "step": 900
263
+ },
264
+ {
265
+ "epoch": 0.116999747027574,
266
+ "grad_norm": 1.828045129776001,
267
+ "learning_rate": 1.7662534783708576e-05,
268
+ "loss": 3.3451,
269
+ "step": 925
270
+ },
271
+ {
272
+ "epoch": 0.12016190235264357,
273
+ "grad_norm": 1.7184784412384033,
274
+ "learning_rate": 1.7599291677207186e-05,
275
+ "loss": 3.4567,
276
+ "step": 950
277
+ },
278
+ {
279
+ "epoch": 0.12332405767771312,
280
+ "grad_norm": 2.0031352043151855,
281
+ "learning_rate": 1.7536048570705796e-05,
282
+ "loss": 3.5227,
283
+ "step": 975
284
+ },
285
+ {
286
+ "epoch": 0.1264862130027827,
287
+ "grad_norm": 1.8211214542388916,
288
+ "learning_rate": 1.7472805464204403e-05,
289
+ "loss": 3.4222,
290
+ "step": 1000
291
+ },
292
+ {
293
+ "epoch": 0.12964836832785226,
294
+ "grad_norm": 1.6366448402404785,
295
+ "learning_rate": 1.7409562357703013e-05,
296
+ "loss": 3.3479,
297
+ "step": 1025
298
+ },
299
+ {
300
+ "epoch": 0.13281052365292184,
301
+ "grad_norm": 1.4770481586456299,
302
+ "learning_rate": 1.734631925120162e-05,
303
+ "loss": 3.4232,
304
+ "step": 1050
305
+ },
306
+ {
307
+ "epoch": 0.1359726789779914,
308
+ "grad_norm": 1.3028419017791748,
309
+ "learning_rate": 1.728307614470023e-05,
310
+ "loss": 3.2511,
311
+ "step": 1075
312
+ },
313
+ {
314
+ "epoch": 0.13913483430306098,
315
+ "grad_norm": 1.8425815105438232,
316
+ "learning_rate": 1.721983303819884e-05,
317
+ "loss": 3.3851,
318
+ "step": 1100
319
+ },
320
+ {
321
+ "epoch": 0.14229698962813053,
322
+ "grad_norm": 1.5002127885818481,
323
+ "learning_rate": 1.715658993169745e-05,
324
+ "loss": 3.5281,
325
+ "step": 1125
326
+ },
327
+ {
328
+ "epoch": 0.14545914495320011,
329
+ "grad_norm": 1.5222417116165161,
330
+ "learning_rate": 1.7093346825196055e-05,
331
+ "loss": 3.3473,
332
+ "step": 1150
333
+ },
334
+ {
335
+ "epoch": 0.14862130027826967,
336
+ "grad_norm": 1.628788948059082,
337
+ "learning_rate": 1.7030103718694665e-05,
338
+ "loss": 3.3795,
339
+ "step": 1175
340
+ },
341
+ {
342
+ "epoch": 0.15178345560333922,
343
+ "grad_norm": 1.3158140182495117,
344
+ "learning_rate": 1.6966860612193272e-05,
345
+ "loss": 3.5536,
346
+ "step": 1200
347
+ },
348
+ {
349
+ "epoch": 0.1549456109284088,
350
+ "grad_norm": 1.8109098672866821,
351
+ "learning_rate": 1.690361750569188e-05,
352
+ "loss": 3.3006,
353
+ "step": 1225
354
+ },
355
+ {
356
+ "epoch": 0.15810776625347836,
357
+ "grad_norm": 2.0179309844970703,
358
+ "learning_rate": 1.6840374399190488e-05,
359
+ "loss": 3.4737,
360
+ "step": 1250
361
+ },
362
+ {
363
+ "epoch": 0.16126992157854794,
364
+ "grad_norm": 1.8066917657852173,
365
+ "learning_rate": 1.6777131292689098e-05,
366
+ "loss": 3.3135,
367
+ "step": 1275
368
+ },
369
+ {
370
+ "epoch": 0.1644320769036175,
371
+ "grad_norm": 1.4508979320526123,
372
+ "learning_rate": 1.6713888186187708e-05,
373
+ "loss": 3.154,
374
+ "step": 1300
375
+ },
376
+ {
377
+ "epoch": 0.16759423222868708,
378
+ "grad_norm": 1.324156641960144,
379
+ "learning_rate": 1.6650645079686318e-05,
380
+ "loss": 3.3076,
381
+ "step": 1325
382
+ },
383
+ {
384
+ "epoch": 0.17075638755375663,
385
+ "grad_norm": 1.7277374267578125,
386
+ "learning_rate": 1.6587401973184924e-05,
387
+ "loss": 3.3168,
388
+ "step": 1350
389
+ },
390
+ {
391
+ "epoch": 0.17391854287882622,
392
+ "grad_norm": 1.581597924232483,
393
+ "learning_rate": 1.6524158866683534e-05,
394
+ "loss": 3.2586,
395
+ "step": 1375
396
+ },
397
+ {
398
+ "epoch": 0.17708069820389577,
399
+ "grad_norm": 1.2408771514892578,
400
+ "learning_rate": 1.646091576018214e-05,
401
+ "loss": 3.3174,
402
+ "step": 1400
403
+ },
404
+ {
405
+ "epoch": 0.18024285352896535,
406
+ "grad_norm": 1.5069456100463867,
407
+ "learning_rate": 1.639767265368075e-05,
408
+ "loss": 3.2248,
409
+ "step": 1425
410
+ },
411
+ {
412
+ "epoch": 0.1834050088540349,
413
+ "grad_norm": 1.474717378616333,
414
+ "learning_rate": 1.6334429547179357e-05,
415
+ "loss": 3.2757,
416
+ "step": 1450
417
+ },
418
+ {
419
+ "epoch": 0.1865671641791045,
420
+ "grad_norm": 1.648443341255188,
421
+ "learning_rate": 1.6271186440677967e-05,
422
+ "loss": 3.2754,
423
+ "step": 1475
424
+ },
425
+ {
426
+ "epoch": 0.18972931950417404,
427
+ "grad_norm": 1.5270763635635376,
428
+ "learning_rate": 1.6207943334176577e-05,
429
+ "loss": 3.2413,
430
+ "step": 1500
431
+ },
432
+ {
433
+ "epoch": 0.19289147482924363,
434
+ "grad_norm": 1.643730640411377,
435
+ "learning_rate": 1.6144700227675187e-05,
436
+ "loss": 3.213,
437
+ "step": 1525
438
+ },
439
+ {
440
+ "epoch": 0.19605363015431318,
441
+ "grad_norm": 1.4000329971313477,
442
+ "learning_rate": 1.6081457121173793e-05,
443
+ "loss": 3.236,
444
+ "step": 1550
445
+ },
446
+ {
447
+ "epoch": 0.19921578547938273,
448
+ "grad_norm": 1.6957166194915771,
449
+ "learning_rate": 1.6018214014672403e-05,
450
+ "loss": 3.1811,
451
+ "step": 1575
452
+ },
453
+ {
454
+ "epoch": 0.20237794080445232,
455
+ "grad_norm": 1.763476848602295,
456
+ "learning_rate": 1.595497090817101e-05,
457
+ "loss": 3.2634,
458
+ "step": 1600
459
+ },
460
+ {
461
+ "epoch": 0.20554009612952187,
462
+ "grad_norm": 1.5622406005859375,
463
+ "learning_rate": 1.589172780166962e-05,
464
+ "loss": 3.2498,
465
+ "step": 1625
466
+ },
467
+ {
468
+ "epoch": 0.20870225145459145,
469
+ "grad_norm": 2.501917600631714,
470
+ "learning_rate": 1.5828484695168226e-05,
471
+ "loss": 3.3526,
472
+ "step": 1650
473
+ },
474
+ {
475
+ "epoch": 0.211864406779661,
476
+ "grad_norm": 1.5445410013198853,
477
+ "learning_rate": 1.5765241588666836e-05,
478
+ "loss": 3.25,
479
+ "step": 1675
480
+ },
481
+ {
482
+ "epoch": 0.2150265621047306,
483
+ "grad_norm": 1.420432209968567,
484
+ "learning_rate": 1.5701998482165446e-05,
485
+ "loss": 3.316,
486
+ "step": 1700
487
+ },
488
+ {
489
+ "epoch": 0.21818871742980014,
490
+ "grad_norm": 1.7002512216567993,
491
+ "learning_rate": 1.5638755375664056e-05,
492
+ "loss": 3.156,
493
+ "step": 1725
494
+ },
495
+ {
496
+ "epoch": 0.22135087275486973,
497
+ "grad_norm": 1.533703088760376,
498
+ "learning_rate": 1.5575512269162662e-05,
499
+ "loss": 3.0938,
500
+ "step": 1750
501
+ },
502
+ {
503
+ "epoch": 0.22451302807993928,
504
+ "grad_norm": 1.4791340827941895,
505
+ "learning_rate": 1.5512269162661272e-05,
506
+ "loss": 3.2756,
507
+ "step": 1775
508
+ },
509
+ {
510
+ "epoch": 0.22767518340500886,
511
+ "grad_norm": 1.783389925956726,
512
+ "learning_rate": 1.544902605615988e-05,
513
+ "loss": 3.3588,
514
+ "step": 1800
515
+ },
516
+ {
517
+ "epoch": 0.23083733873007842,
518
+ "grad_norm": 1.7652767896652222,
519
+ "learning_rate": 1.538578294965849e-05,
520
+ "loss": 3.1746,
521
+ "step": 1825
522
+ },
523
+ {
524
+ "epoch": 0.233999494055148,
525
+ "grad_norm": 1.7373157739639282,
526
+ "learning_rate": 1.53225398431571e-05,
527
+ "loss": 3.2757,
528
+ "step": 1850
529
+ },
530
+ {
531
+ "epoch": 0.23716164938021755,
532
+ "grad_norm": 1.655953049659729,
533
+ "learning_rate": 1.5259296736655705e-05,
534
+ "loss": 3.2366,
535
+ "step": 1875
536
+ },
537
+ {
538
+ "epoch": 0.24032380470528714,
539
+ "grad_norm": 1.4808825254440308,
540
+ "learning_rate": 1.5196053630154315e-05,
541
+ "loss": 3.2056,
542
+ "step": 1900
543
+ },
544
+ {
545
+ "epoch": 0.2434859600303567,
546
+ "grad_norm": 1.3337376117706299,
547
+ "learning_rate": 1.5132810523652923e-05,
548
+ "loss": 2.9247,
549
+ "step": 1925
550
+ },
551
+ {
552
+ "epoch": 0.24664811535542625,
553
+ "grad_norm": 1.3115172386169434,
554
+ "learning_rate": 1.5069567417151531e-05,
555
+ "loss": 3.3964,
556
+ "step": 1950
557
+ },
558
+ {
559
+ "epoch": 0.24981027068049583,
560
+ "grad_norm": 1.3567864894866943,
561
+ "learning_rate": 1.500632431065014e-05,
562
+ "loss": 3.2777,
563
+ "step": 1975
564
+ },
565
+ {
566
+ "epoch": 0.2529724260055654,
567
+ "grad_norm": 1.5610828399658203,
568
+ "learning_rate": 1.4943081204148748e-05,
569
+ "loss": 3.0115,
570
+ "step": 2000
571
+ },
572
+ {
573
+ "epoch": 0.25613458133063494,
574
+ "grad_norm": 1.6952314376831055,
575
+ "learning_rate": 1.4879838097647357e-05,
576
+ "loss": 3.2321,
577
+ "step": 2025
578
+ },
579
+ {
580
+ "epoch": 0.2592967366557045,
581
+ "grad_norm": 1.5469592809677124,
582
+ "learning_rate": 1.4816594991145967e-05,
583
+ "loss": 3.1697,
584
+ "step": 2050
585
+ },
586
+ {
587
+ "epoch": 0.2624588919807741,
588
+ "grad_norm": 1.7456170320510864,
589
+ "learning_rate": 1.4753351884644576e-05,
590
+ "loss": 3.0305,
591
+ "step": 2075
592
+ },
593
+ {
594
+ "epoch": 0.2656210473058437,
595
+ "grad_norm": 1.8613225221633911,
596
+ "learning_rate": 1.4690108778143184e-05,
597
+ "loss": 3.1094,
598
+ "step": 2100
599
+ },
600
+ {
601
+ "epoch": 0.2687832026309132,
602
+ "grad_norm": 1.6130377054214478,
603
+ "learning_rate": 1.4626865671641792e-05,
604
+ "loss": 3.1656,
605
+ "step": 2125
606
+ },
607
+ {
608
+ "epoch": 0.2719453579559828,
609
+ "grad_norm": 1.4752004146575928,
610
+ "learning_rate": 1.45636225651404e-05,
611
+ "loss": 3.1527,
612
+ "step": 2150
613
+ },
614
+ {
615
+ "epoch": 0.2751075132810524,
616
+ "grad_norm": 1.3546524047851562,
617
+ "learning_rate": 1.4500379458639008e-05,
618
+ "loss": 3.1096,
619
+ "step": 2175
620
+ },
621
+ {
622
+ "epoch": 0.27826966860612196,
623
+ "grad_norm": 1.5383223295211792,
624
+ "learning_rate": 1.4437136352137617e-05,
625
+ "loss": 3.3534,
626
+ "step": 2200
627
+ },
628
+ {
629
+ "epoch": 0.2814318239311915,
630
+ "grad_norm": 1.7905950546264648,
631
+ "learning_rate": 1.4373893245636228e-05,
632
+ "loss": 3.2779,
633
+ "step": 2225
634
+ },
635
+ {
636
+ "epoch": 0.28459397925626106,
637
+ "grad_norm": 1.408922553062439,
638
+ "learning_rate": 1.4310650139134836e-05,
639
+ "loss": 3.0517,
640
+ "step": 2250
641
+ },
642
+ {
643
+ "epoch": 0.28775613458133065,
644
+ "grad_norm": 1.7881851196289062,
645
+ "learning_rate": 1.4247407032633445e-05,
646
+ "loss": 3.144,
647
+ "step": 2275
648
+ },
649
+ {
650
+ "epoch": 0.29091828990640023,
651
+ "grad_norm": 1.5622018575668335,
652
+ "learning_rate": 1.4184163926132053e-05,
653
+ "loss": 3.0161,
654
+ "step": 2300
655
+ },
656
+ {
657
+ "epoch": 0.29408044523146976,
658
+ "grad_norm": 1.1805533170700073,
659
+ "learning_rate": 1.4120920819630661e-05,
660
+ "loss": 3.3535,
661
+ "step": 2325
662
+ },
663
+ {
664
+ "epoch": 0.29724260055653934,
665
+ "grad_norm": 1.4643152952194214,
666
+ "learning_rate": 1.4057677713129269e-05,
667
+ "loss": 3.0817,
668
+ "step": 2350
669
+ },
670
+ {
671
+ "epoch": 0.3004047558816089,
672
+ "grad_norm": 1.640499234199524,
673
+ "learning_rate": 1.3994434606627877e-05,
674
+ "loss": 3.2889,
675
+ "step": 2375
676
+ },
677
+ {
678
+ "epoch": 0.30356691120667845,
679
+ "grad_norm": 1.4501370191574097,
680
+ "learning_rate": 1.3931191500126486e-05,
681
+ "loss": 3.0626,
682
+ "step": 2400
683
+ },
684
+ {
685
+ "epoch": 0.30672906653174803,
686
+ "grad_norm": 1.540034532546997,
687
+ "learning_rate": 1.3867948393625097e-05,
688
+ "loss": 3.1131,
689
+ "step": 2425
690
+ },
691
+ {
692
+ "epoch": 0.3098912218568176,
693
+ "grad_norm": 1.3436205387115479,
694
+ "learning_rate": 1.3804705287123705e-05,
695
+ "loss": 3.3248,
696
+ "step": 2450
697
+ },
698
+ {
699
+ "epoch": 0.3130533771818872,
700
+ "grad_norm": 1.8110958337783813,
701
+ "learning_rate": 1.3741462180622314e-05,
702
+ "loss": 3.2063,
703
+ "step": 2475
704
+ },
705
+ {
706
+ "epoch": 0.3162155325069567,
707
+ "grad_norm": 1.1593376398086548,
708
+ "learning_rate": 1.3678219074120922e-05,
709
+ "loss": 3.1707,
710
+ "step": 2500
711
+ },
712
+ {
713
+ "epoch": 0.3193776878320263,
714
+ "grad_norm": 1.2828359603881836,
715
+ "learning_rate": 1.361497596761953e-05,
716
+ "loss": 3.1273,
717
+ "step": 2525
718
+ },
719
+ {
720
+ "epoch": 0.3225398431570959,
721
+ "grad_norm": 1.4801135063171387,
722
+ "learning_rate": 1.3551732861118138e-05,
723
+ "loss": 3.1145,
724
+ "step": 2550
725
+ },
726
+ {
727
+ "epoch": 0.32570199848216547,
728
+ "grad_norm": 1.6385855674743652,
729
+ "learning_rate": 1.3488489754616746e-05,
730
+ "loss": 3.1274,
731
+ "step": 2575
732
+ },
733
+ {
734
+ "epoch": 0.328864153807235,
735
+ "grad_norm": 1.3759686946868896,
736
+ "learning_rate": 1.3425246648115358e-05,
737
+ "loss": 2.9515,
738
+ "step": 2600
739
+ },
740
+ {
741
+ "epoch": 0.3320263091323046,
742
+ "grad_norm": 1.3556058406829834,
743
+ "learning_rate": 1.3362003541613966e-05,
744
+ "loss": 3.1251,
745
+ "step": 2625
746
+ },
747
+ {
748
+ "epoch": 0.33518846445737416,
749
+ "grad_norm": 1.8028017282485962,
750
+ "learning_rate": 1.3298760435112574e-05,
751
+ "loss": 3.1851,
752
+ "step": 2650
753
+ },
754
+ {
755
+ "epoch": 0.33835061978244374,
756
+ "grad_norm": 1.3875707387924194,
757
+ "learning_rate": 1.3235517328611182e-05,
758
+ "loss": 3.1831,
759
+ "step": 2675
760
+ },
761
+ {
762
+ "epoch": 0.34151277510751327,
763
+ "grad_norm": 1.3739882707595825,
764
+ "learning_rate": 1.317227422210979e-05,
765
+ "loss": 2.944,
766
+ "step": 2700
767
+ },
768
+ {
769
+ "epoch": 0.34467493043258285,
770
+ "grad_norm": 1.7388805150985718,
771
+ "learning_rate": 1.3109031115608399e-05,
772
+ "loss": 2.9621,
773
+ "step": 2725
774
+ },
775
+ {
776
+ "epoch": 0.34783708575765243,
777
+ "grad_norm": 1.4218101501464844,
778
+ "learning_rate": 1.3045788009107007e-05,
779
+ "loss": 3.1734,
780
+ "step": 2750
781
+ },
782
+ {
783
+ "epoch": 0.35099924108272196,
784
+ "grad_norm": 1.5523903369903564,
785
+ "learning_rate": 1.2982544902605615e-05,
786
+ "loss": 3.1323,
787
+ "step": 2775
788
+ },
789
+ {
790
+ "epoch": 0.35416139640779154,
791
+ "grad_norm": 1.2134604454040527,
792
+ "learning_rate": 1.2919301796104227e-05,
793
+ "loss": 2.9738,
794
+ "step": 2800
795
+ },
796
+ {
797
+ "epoch": 0.3573235517328611,
798
+ "grad_norm": 1.7392768859863281,
799
+ "learning_rate": 1.2856058689602835e-05,
800
+ "loss": 3.2412,
801
+ "step": 2825
802
+ },
803
+ {
804
+ "epoch": 0.3604857070579307,
805
+ "grad_norm": 1.5656300783157349,
806
+ "learning_rate": 1.2792815583101443e-05,
807
+ "loss": 3.1549,
808
+ "step": 2850
809
+ },
810
+ {
811
+ "epoch": 0.36364786238300023,
812
+ "grad_norm": 1.592602014541626,
813
+ "learning_rate": 1.2729572476600051e-05,
814
+ "loss": 3.2068,
815
+ "step": 2875
816
+ },
817
+ {
818
+ "epoch": 0.3668100177080698,
819
+ "grad_norm": 1.6737302541732788,
820
+ "learning_rate": 1.266632937009866e-05,
821
+ "loss": 3.0918,
822
+ "step": 2900
823
+ },
824
+ {
825
+ "epoch": 0.3699721730331394,
826
+ "grad_norm": 1.4579912424087524,
827
+ "learning_rate": 1.2603086263597268e-05,
828
+ "loss": 3.17,
829
+ "step": 2925
830
+ },
831
+ {
832
+ "epoch": 0.373134328358209,
833
+ "grad_norm": 1.9524872303009033,
834
+ "learning_rate": 1.2539843157095876e-05,
835
+ "loss": 3.0157,
836
+ "step": 2950
837
+ },
838
+ {
839
+ "epoch": 0.3762964836832785,
840
+ "grad_norm": 1.5913100242614746,
841
+ "learning_rate": 1.2476600050594488e-05,
842
+ "loss": 2.9347,
843
+ "step": 2975
844
+ },
845
+ {
846
+ "epoch": 0.3794586390083481,
847
+ "grad_norm": 1.5421273708343506,
848
+ "learning_rate": 1.2413356944093096e-05,
849
+ "loss": 3.0643,
850
+ "step": 3000
851
+ },
852
+ {
853
+ "epoch": 0.38262079433341767,
854
+ "grad_norm": 1.4578076601028442,
855
+ "learning_rate": 1.2350113837591704e-05,
856
+ "loss": 3.1577,
857
+ "step": 3025
858
+ },
859
+ {
860
+ "epoch": 0.38578294965848725,
861
+ "grad_norm": 1.4034929275512695,
862
+ "learning_rate": 1.2286870731090312e-05,
863
+ "loss": 3.0522,
864
+ "step": 3050
865
+ },
866
+ {
867
+ "epoch": 0.3889451049835568,
868
+ "grad_norm": 1.4334189891815186,
869
+ "learning_rate": 1.222362762458892e-05,
870
+ "loss": 3.0195,
871
+ "step": 3075
872
+ },
873
+ {
874
+ "epoch": 0.39210726030862636,
875
+ "grad_norm": 1.5584102869033813,
876
+ "learning_rate": 1.2160384518087529e-05,
877
+ "loss": 2.9582,
878
+ "step": 3100
879
+ },
880
+ {
881
+ "epoch": 0.39526941563369594,
882
+ "grad_norm": 1.4117885828018188,
883
+ "learning_rate": 1.2097141411586137e-05,
884
+ "loss": 3.1979,
885
+ "step": 3125
886
+ },
887
+ {
888
+ "epoch": 0.39843157095876547,
889
+ "grad_norm": 1.6135624647140503,
890
+ "learning_rate": 1.2033898305084745e-05,
891
+ "loss": 3.0185,
892
+ "step": 3150
893
+ },
894
+ {
895
+ "epoch": 0.40159372628383505,
896
+ "grad_norm": 1.9495983123779297,
897
+ "learning_rate": 1.1970655198583357e-05,
898
+ "loss": 3.1753,
899
+ "step": 3175
900
+ },
901
+ {
902
+ "epoch": 0.40475588160890463,
903
+ "grad_norm": 1.3732932806015015,
904
+ "learning_rate": 1.1907412092081965e-05,
905
+ "loss": 2.9982,
906
+ "step": 3200
907
+ },
908
+ {
909
+ "epoch": 0.4079180369339742,
910
+ "grad_norm": 1.6417973041534424,
911
+ "learning_rate": 1.1844168985580573e-05,
912
+ "loss": 2.9491,
913
+ "step": 3225
914
+ },
915
+ {
916
+ "epoch": 0.41108019225904374,
917
+ "grad_norm": 1.599778413772583,
918
+ "learning_rate": 1.1780925879079181e-05,
919
+ "loss": 2.9619,
920
+ "step": 3250
921
+ },
922
+ {
923
+ "epoch": 0.4142423475841133,
924
+ "grad_norm": 1.5678138732910156,
925
+ "learning_rate": 1.171768277257779e-05,
926
+ "loss": 3.1179,
927
+ "step": 3275
928
+ },
929
+ {
930
+ "epoch": 0.4174045029091829,
931
+ "grad_norm": 1.4923375844955444,
932
+ "learning_rate": 1.1654439666076398e-05,
933
+ "loss": 3.193,
934
+ "step": 3300
935
+ },
936
+ {
937
+ "epoch": 0.4205666582342525,
938
+ "grad_norm": 1.5655521154403687,
939
+ "learning_rate": 1.1591196559575006e-05,
940
+ "loss": 3.0813,
941
+ "step": 3325
942
+ },
943
+ {
944
+ "epoch": 0.423728813559322,
945
+ "grad_norm": 1.7306265830993652,
946
+ "learning_rate": 1.1527953453073617e-05,
947
+ "loss": 3.1584,
948
+ "step": 3350
949
+ },
950
+ {
951
+ "epoch": 0.4268909688843916,
952
+ "grad_norm": 1.4964895248413086,
953
+ "learning_rate": 1.1464710346572226e-05,
954
+ "loss": 2.9885,
955
+ "step": 3375
956
+ },
957
+ {
958
+ "epoch": 0.4300531242094612,
959
+ "grad_norm": 1.386781930923462,
960
+ "learning_rate": 1.1401467240070834e-05,
961
+ "loss": 2.7611,
962
+ "step": 3400
963
+ },
964
+ {
965
+ "epoch": 0.43321527953453076,
966
+ "grad_norm": 1.223809838294983,
967
+ "learning_rate": 1.1338224133569442e-05,
968
+ "loss": 2.9793,
969
+ "step": 3425
970
+ },
971
+ {
972
+ "epoch": 0.4363774348596003,
973
+ "grad_norm": 1.7949477434158325,
974
+ "learning_rate": 1.127498102706805e-05,
975
+ "loss": 3.1053,
976
+ "step": 3450
977
+ },
978
+ {
979
+ "epoch": 0.43953959018466987,
980
+ "grad_norm": 1.2614104747772217,
981
+ "learning_rate": 1.1211737920566658e-05,
982
+ "loss": 3.1497,
983
+ "step": 3475
984
+ },
985
+ {
986
+ "epoch": 0.44270174550973945,
987
+ "grad_norm": 1.4934375286102295,
988
+ "learning_rate": 1.1148494814065267e-05,
989
+ "loss": 3.2349,
990
+ "step": 3500
991
+ },
992
+ {
993
+ "epoch": 0.445863900834809,
994
+ "grad_norm": 1.692384958267212,
995
+ "learning_rate": 1.1085251707563875e-05,
996
+ "loss": 3.2143,
997
+ "step": 3525
998
+ },
999
+ {
1000
+ "epoch": 0.44902605615987856,
1001
+ "grad_norm": 1.430724024772644,
1002
+ "learning_rate": 1.1022008601062486e-05,
1003
+ "loss": 2.9926,
1004
+ "step": 3550
1005
+ },
1006
+ {
1007
+ "epoch": 0.45218821148494814,
1008
+ "grad_norm": 1.6542253494262695,
1009
+ "learning_rate": 1.0958765494561095e-05,
1010
+ "loss": 3.0877,
1011
+ "step": 3575
1012
+ },
1013
+ {
1014
+ "epoch": 0.4553503668100177,
1015
+ "grad_norm": 1.761777400970459,
1016
+ "learning_rate": 1.0895522388059703e-05,
1017
+ "loss": 3.1343,
1018
+ "step": 3600
1019
+ },
1020
+ {
1021
+ "epoch": 0.45851252213508725,
1022
+ "grad_norm": 1.3432550430297852,
1023
+ "learning_rate": 1.0832279281558311e-05,
1024
+ "loss": 2.9125,
1025
+ "step": 3625
1026
+ },
1027
+ {
1028
+ "epoch": 0.46167467746015683,
1029
+ "grad_norm": 1.6349095106124878,
1030
+ "learning_rate": 1.0769036175056919e-05,
1031
+ "loss": 3.0102,
1032
+ "step": 3650
1033
+ },
1034
+ {
1035
+ "epoch": 0.4648368327852264,
1036
+ "grad_norm": 1.5871011018753052,
1037
+ "learning_rate": 1.0705793068555527e-05,
1038
+ "loss": 2.8361,
1039
+ "step": 3675
1040
+ },
1041
+ {
1042
+ "epoch": 0.467998988110296,
1043
+ "grad_norm": 1.5581876039505005,
1044
+ "learning_rate": 1.0642549962054136e-05,
1045
+ "loss": 2.9176,
1046
+ "step": 3700
1047
+ },
1048
+ {
1049
+ "epoch": 0.4711611434353655,
1050
+ "grad_norm": 1.9018642902374268,
1051
+ "learning_rate": 1.0579306855552747e-05,
1052
+ "loss": 3.1236,
1053
+ "step": 3725
1054
+ },
1055
+ {
1056
+ "epoch": 0.4743232987604351,
1057
+ "grad_norm": 1.9724278450012207,
1058
+ "learning_rate": 1.0516063749051355e-05,
1059
+ "loss": 3.2517,
1060
+ "step": 3750
1061
+ },
1062
+ {
1063
+ "epoch": 0.4774854540855047,
1064
+ "grad_norm": 1.4184868335723877,
1065
+ "learning_rate": 1.0452820642549963e-05,
1066
+ "loss": 2.7384,
1067
+ "step": 3775
1068
+ },
1069
+ {
1070
+ "epoch": 0.4806476094105743,
1071
+ "grad_norm": 1.6251132488250732,
1072
+ "learning_rate": 1.0389577536048572e-05,
1073
+ "loss": 2.9232,
1074
+ "step": 3800
1075
+ },
1076
+ {
1077
+ "epoch": 0.4838097647356438,
1078
+ "grad_norm": 1.526455283164978,
1079
+ "learning_rate": 1.032633442954718e-05,
1080
+ "loss": 3.0109,
1081
+ "step": 3825
1082
+ },
1083
+ {
1084
+ "epoch": 0.4869719200607134,
1085
+ "grad_norm": 1.5482044219970703,
1086
+ "learning_rate": 1.0263091323045788e-05,
1087
+ "loss": 2.9056,
1088
+ "step": 3850
1089
+ },
1090
+ {
1091
+ "epoch": 0.49013407538578296,
1092
+ "grad_norm": 1.5261505842208862,
1093
+ "learning_rate": 1.0199848216544396e-05,
1094
+ "loss": 2.8749,
1095
+ "step": 3875
1096
+ },
1097
+ {
1098
+ "epoch": 0.4932962307108525,
1099
+ "grad_norm": 1.8025535345077515,
1100
+ "learning_rate": 1.0136605110043004e-05,
1101
+ "loss": 3.1128,
1102
+ "step": 3900
1103
+ },
1104
+ {
1105
+ "epoch": 0.4964583860359221,
1106
+ "grad_norm": 1.428043246269226,
1107
+ "learning_rate": 1.0073362003541616e-05,
1108
+ "loss": 3.0411,
1109
+ "step": 3925
1110
+ },
1111
+ {
1112
+ "epoch": 0.49962054136099165,
1113
+ "grad_norm": 1.3403562307357788,
1114
+ "learning_rate": 1.0010118897040224e-05,
1115
+ "loss": 2.9253,
1116
+ "step": 3950
1117
+ },
1118
+ {
1119
+ "epoch": 0.5027826966860612,
1120
+ "grad_norm": 1.6576727628707886,
1121
+ "learning_rate": 9.946875790538832e-06,
1122
+ "loss": 2.9877,
1123
+ "step": 3975
1124
+ },
1125
+ {
1126
+ "epoch": 0.5059448520111308,
1127
+ "grad_norm": 1.8511061668395996,
1128
+ "learning_rate": 9.88363268403744e-06,
1129
+ "loss": 2.919,
1130
+ "step": 4000
1131
+ },
1132
+ {
1133
+ "epoch": 0.5091070073362004,
1134
+ "grad_norm": 1.690691590309143,
1135
+ "learning_rate": 9.820389577536049e-06,
1136
+ "loss": 2.7579,
1137
+ "step": 4025
1138
+ },
1139
+ {
1140
+ "epoch": 0.5122691626612699,
1141
+ "grad_norm": 1.4383487701416016,
1142
+ "learning_rate": 9.757146471034657e-06,
1143
+ "loss": 2.8421,
1144
+ "step": 4050
1145
+ },
1146
+ {
1147
+ "epoch": 0.5154313179863395,
1148
+ "grad_norm": 1.5412685871124268,
1149
+ "learning_rate": 9.693903364533267e-06,
1150
+ "loss": 2.9609,
1151
+ "step": 4075
1152
+ },
1153
+ {
1154
+ "epoch": 0.518593473311409,
1155
+ "grad_norm": 1.7865098714828491,
1156
+ "learning_rate": 9.630660258031875e-06,
1157
+ "loss": 2.887,
1158
+ "step": 4100
1159
+ },
1160
+ {
1161
+ "epoch": 0.5217556286364786,
1162
+ "grad_norm": 1.4453928470611572,
1163
+ "learning_rate": 9.567417151530483e-06,
1164
+ "loss": 2.9248,
1165
+ "step": 4125
1166
+ },
1167
+ {
1168
+ "epoch": 0.5249177839615482,
1169
+ "grad_norm": 1.6136345863342285,
1170
+ "learning_rate": 9.504174045029093e-06,
1171
+ "loss": 3.1814,
1172
+ "step": 4150
1173
+ },
1174
+ {
1175
+ "epoch": 0.5280799392866178,
1176
+ "grad_norm": 1.3460476398468018,
1177
+ "learning_rate": 9.440930938527701e-06,
1178
+ "loss": 2.7766,
1179
+ "step": 4175
1180
+ },
1181
+ {
1182
+ "epoch": 0.5312420946116874,
1183
+ "grad_norm": 1.6284033060073853,
1184
+ "learning_rate": 9.37768783202631e-06,
1185
+ "loss": 2.9087,
1186
+ "step": 4200
1187
+ },
1188
+ {
1189
+ "epoch": 0.534404249936757,
1190
+ "grad_norm": 1.3353221416473389,
1191
+ "learning_rate": 9.314444725524918e-06,
1192
+ "loss": 2.9512,
1193
+ "step": 4225
1194
+ },
1195
+ {
1196
+ "epoch": 0.5375664052618264,
1197
+ "grad_norm": 1.9415779113769531,
1198
+ "learning_rate": 9.251201619023528e-06,
1199
+ "loss": 2.7603,
1200
+ "step": 4250
1201
+ },
1202
+ {
1203
+ "epoch": 0.540728560586896,
1204
+ "grad_norm": 1.6942236423492432,
1205
+ "learning_rate": 9.187958512522136e-06,
1206
+ "loss": 3.1245,
1207
+ "step": 4275
1208
+ },
1209
+ {
1210
+ "epoch": 0.5438907159119656,
1211
+ "grad_norm": 2.2894318103790283,
1212
+ "learning_rate": 9.124715406020744e-06,
1213
+ "loss": 2.9695,
1214
+ "step": 4300
1215
+ },
1216
+ {
1217
+ "epoch": 0.5470528712370352,
1218
+ "grad_norm": 1.1514796018600464,
1219
+ "learning_rate": 9.061472299519352e-06,
1220
+ "loss": 3.0047,
1221
+ "step": 4325
1222
+ },
1223
+ {
1224
+ "epoch": 0.5502150265621047,
1225
+ "grad_norm": 1.5051628351211548,
1226
+ "learning_rate": 8.998229193017962e-06,
1227
+ "loss": 3.1653,
1228
+ "step": 4350
1229
+ },
1230
+ {
1231
+ "epoch": 0.5533771818871743,
1232
+ "grad_norm": 1.4090489149093628,
1233
+ "learning_rate": 8.93498608651657e-06,
1234
+ "loss": 2.9528,
1235
+ "step": 4375
1236
+ },
1237
+ {
1238
+ "epoch": 0.5565393372122439,
1239
+ "grad_norm": 1.6863518953323364,
1240
+ "learning_rate": 8.871742980015179e-06,
1241
+ "loss": 2.8309,
1242
+ "step": 4400
1243
+ },
1244
+ {
1245
+ "epoch": 0.5597014925373134,
1246
+ "grad_norm": 1.453518271446228,
1247
+ "learning_rate": 8.808499873513787e-06,
1248
+ "loss": 2.8803,
1249
+ "step": 4425
1250
+ },
1251
+ {
1252
+ "epoch": 0.562863647862383,
1253
+ "grad_norm": 1.987695336341858,
1254
+ "learning_rate": 8.745256767012397e-06,
1255
+ "loss": 3.001,
1256
+ "step": 4450
1257
+ },
1258
+ {
1259
+ "epoch": 0.5660258031874525,
1260
+ "grad_norm": 1.3925899267196655,
1261
+ "learning_rate": 8.682013660511005e-06,
1262
+ "loss": 2.9407,
1263
+ "step": 4475
1264
+ },
1265
+ {
1266
+ "epoch": 0.5691879585125221,
1267
+ "grad_norm": 1.802440881729126,
1268
+ "learning_rate": 8.618770554009613e-06,
1269
+ "loss": 3.0096,
1270
+ "step": 4500
1271
+ },
1272
+ {
1273
+ "epoch": 0.5723501138375917,
1274
+ "grad_norm": 1.4417994022369385,
1275
+ "learning_rate": 8.555527447508223e-06,
1276
+ "loss": 2.976,
1277
+ "step": 4525
1278
+ },
1279
+ {
1280
+ "epoch": 0.5755122691626613,
1281
+ "grad_norm": 1.7502068281173706,
1282
+ "learning_rate": 8.492284341006831e-06,
1283
+ "loss": 2.8715,
1284
+ "step": 4550
1285
+ },
1286
+ {
1287
+ "epoch": 0.5786744244877309,
1288
+ "grad_norm": 1.7311025857925415,
1289
+ "learning_rate": 8.42904123450544e-06,
1290
+ "loss": 2.9176,
1291
+ "step": 4575
1292
+ },
1293
+ {
1294
+ "epoch": 0.5818365798128005,
1295
+ "grad_norm": 1.6848989725112915,
1296
+ "learning_rate": 8.365798128004048e-06,
1297
+ "loss": 2.9213,
1298
+ "step": 4600
1299
+ },
1300
+ {
1301
+ "epoch": 0.5849987351378699,
1302
+ "grad_norm": 1.4339770078659058,
1303
+ "learning_rate": 8.302555021502657e-06,
1304
+ "loss": 2.944,
1305
+ "step": 4625
1306
+ },
1307
+ {
1308
+ "epoch": 0.5881608904629395,
1309
+ "grad_norm": 1.4645488262176514,
1310
+ "learning_rate": 8.239311915001266e-06,
1311
+ "loss": 2.8865,
1312
+ "step": 4650
1313
+ },
1314
+ {
1315
+ "epoch": 0.5913230457880091,
1316
+ "grad_norm": 1.793530821800232,
1317
+ "learning_rate": 8.176068808499874e-06,
1318
+ "loss": 3.0749,
1319
+ "step": 4675
1320
+ },
1321
+ {
1322
+ "epoch": 0.5944852011130787,
1323
+ "grad_norm": 1.753974437713623,
1324
+ "learning_rate": 8.112825701998482e-06,
1325
+ "loss": 2.9768,
1326
+ "step": 4700
1327
+ },
1328
+ {
1329
+ "epoch": 0.5976473564381483,
1330
+ "grad_norm": 1.4546597003936768,
1331
+ "learning_rate": 8.049582595497092e-06,
1332
+ "loss": 2.8419,
1333
+ "step": 4725
1334
+ },
1335
+ {
1336
+ "epoch": 0.6008095117632178,
1337
+ "grad_norm": 2.1190099716186523,
1338
+ "learning_rate": 7.9863394889957e-06,
1339
+ "loss": 2.8468,
1340
+ "step": 4750
1341
+ },
1342
+ {
1343
+ "epoch": 0.6039716670882874,
1344
+ "grad_norm": 2.026573657989502,
1345
+ "learning_rate": 7.923096382494308e-06,
1346
+ "loss": 3.0328,
1347
+ "step": 4775
1348
+ },
1349
+ {
1350
+ "epoch": 0.6071338224133569,
1351
+ "grad_norm": 1.5188226699829102,
1352
+ "learning_rate": 7.859853275992917e-06,
1353
+ "loss": 2.7536,
1354
+ "step": 4800
1355
+ },
1356
+ {
1357
+ "epoch": 0.6102959777384265,
1358
+ "grad_norm": 1.9499627351760864,
1359
+ "learning_rate": 7.796610169491526e-06,
1360
+ "loss": 3.0033,
1361
+ "step": 4825
1362
+ },
1363
+ {
1364
+ "epoch": 0.6134581330634961,
1365
+ "grad_norm": 1.4692327976226807,
1366
+ "learning_rate": 7.733367062990135e-06,
1367
+ "loss": 2.9335,
1368
+ "step": 4850
1369
+ },
1370
+ {
1371
+ "epoch": 0.6166202883885656,
1372
+ "grad_norm": 1.4884922504425049,
1373
+ "learning_rate": 7.670123956488743e-06,
1374
+ "loss": 2.9247,
1375
+ "step": 4875
1376
+ },
1377
+ {
1378
+ "epoch": 0.6197824437136352,
1379
+ "grad_norm": 1.5420995950698853,
1380
+ "learning_rate": 7.606880849987353e-06,
1381
+ "loss": 2.9574,
1382
+ "step": 4900
1383
+ },
1384
+ {
1385
+ "epoch": 0.6229445990387048,
1386
+ "grad_norm": 1.8658238649368286,
1387
+ "learning_rate": 7.543637743485961e-06,
1388
+ "loss": 2.9001,
1389
+ "step": 4925
1390
+ },
1391
+ {
1392
+ "epoch": 0.6261067543637744,
1393
+ "grad_norm": 1.5181258916854858,
1394
+ "learning_rate": 7.480394636984569e-06,
1395
+ "loss": 2.7142,
1396
+ "step": 4950
1397
+ },
1398
+ {
1399
+ "epoch": 0.629268909688844,
1400
+ "grad_norm": 1.4289120435714722,
1401
+ "learning_rate": 7.417151530483177e-06,
1402
+ "loss": 3.0176,
1403
+ "step": 4975
1404
+ },
1405
+ {
1406
+ "epoch": 0.6324310650139134,
1407
+ "grad_norm": 1.7044678926467896,
1408
+ "learning_rate": 7.353908423981787e-06,
1409
+ "loss": 2.9688,
1410
+ "step": 5000
1411
+ },
1412
+ {
1413
+ "epoch": 0.635593220338983,
1414
+ "grad_norm": 1.2686058282852173,
1415
+ "learning_rate": 7.290665317480395e-06,
1416
+ "loss": 3.0132,
1417
+ "step": 5025
1418
+ },
1419
+ {
1420
+ "epoch": 0.6387553756640526,
1421
+ "grad_norm": 1.4413508176803589,
1422
+ "learning_rate": 7.2274222109790036e-06,
1423
+ "loss": 2.948,
1424
+ "step": 5050
1425
+ },
1426
+ {
1427
+ "epoch": 0.6419175309891222,
1428
+ "grad_norm": 1.5472356081008911,
1429
+ "learning_rate": 7.164179104477612e-06,
1430
+ "loss": 2.8153,
1431
+ "step": 5075
1432
+ },
1433
+ {
1434
+ "epoch": 0.6450796863141918,
1435
+ "grad_norm": 1.3920260667800903,
1436
+ "learning_rate": 7.100935997976222e-06,
1437
+ "loss": 2.9269,
1438
+ "step": 5100
1439
+ },
1440
+ {
1441
+ "epoch": 0.6482418416392614,
1442
+ "grad_norm": 1.8862273693084717,
1443
+ "learning_rate": 7.03769289147483e-06,
1444
+ "loss": 2.9641,
1445
+ "step": 5125
1446
+ },
1447
+ {
1448
+ "epoch": 0.6514039969643309,
1449
+ "grad_norm": 1.2860732078552246,
1450
+ "learning_rate": 6.974449784973438e-06,
1451
+ "loss": 2.9628,
1452
+ "step": 5150
1453
+ },
1454
+ {
1455
+ "epoch": 0.6545661522894004,
1456
+ "grad_norm": 1.6975411176681519,
1457
+ "learning_rate": 6.911206678472046e-06,
1458
+ "loss": 2.8478,
1459
+ "step": 5175
1460
+ },
1461
+ {
1462
+ "epoch": 0.65772830761447,
1463
+ "grad_norm": 1.577736258506775,
1464
+ "learning_rate": 6.847963571970656e-06,
1465
+ "loss": 2.8673,
1466
+ "step": 5200
1467
+ },
1468
+ {
1469
+ "epoch": 0.6608904629395396,
1470
+ "grad_norm": 1.5640876293182373,
1471
+ "learning_rate": 6.784720465469264e-06,
1472
+ "loss": 2.7907,
1473
+ "step": 5225
1474
+ },
1475
+ {
1476
+ "epoch": 0.6640526182646092,
1477
+ "grad_norm": 1.5373408794403076,
1478
+ "learning_rate": 6.7214773589678725e-06,
1479
+ "loss": 2.9308,
1480
+ "step": 5250
1481
+ },
1482
+ {
1483
+ "epoch": 0.6672147735896787,
1484
+ "grad_norm": 1.499895453453064,
1485
+ "learning_rate": 6.6582342524664824e-06,
1486
+ "loss": 2.8954,
1487
+ "step": 5275
1488
+ },
1489
+ {
1490
+ "epoch": 0.6703769289147483,
1491
+ "grad_norm": 1.7884222269058228,
1492
+ "learning_rate": 6.594991145965091e-06,
1493
+ "loss": 3.0374,
1494
+ "step": 5300
1495
+ },
1496
+ {
1497
+ "epoch": 0.6735390842398179,
1498
+ "grad_norm": 1.4689120054244995,
1499
+ "learning_rate": 6.531748039463699e-06,
1500
+ "loss": 2.7937,
1501
+ "step": 5325
1502
+ },
1503
+ {
1504
+ "epoch": 0.6767012395648875,
1505
+ "grad_norm": 1.2251571416854858,
1506
+ "learning_rate": 6.468504932962307e-06,
1507
+ "loss": 2.6993,
1508
+ "step": 5350
1509
+ },
1510
+ {
1511
+ "epoch": 0.679863394889957,
1512
+ "grad_norm": 1.6900901794433594,
1513
+ "learning_rate": 6.405261826460917e-06,
1514
+ "loss": 2.9683,
1515
+ "step": 5375
1516
+ },
1517
+ {
1518
+ "epoch": 0.6830255502150265,
1519
+ "grad_norm": 1.3138439655303955,
1520
+ "learning_rate": 6.342018719959525e-06,
1521
+ "loss": 2.9179,
1522
+ "step": 5400
1523
+ },
1524
+ {
1525
+ "epoch": 0.6861877055400961,
1526
+ "grad_norm": 1.3106989860534668,
1527
+ "learning_rate": 6.278775613458133e-06,
1528
+ "loss": 2.8901,
1529
+ "step": 5425
1530
+ },
1531
+ {
1532
+ "epoch": 0.6893498608651657,
1533
+ "grad_norm": 1.7244914770126343,
1534
+ "learning_rate": 6.2155325069567415e-06,
1535
+ "loss": 2.8481,
1536
+ "step": 5450
1537
+ },
1538
+ {
1539
+ "epoch": 0.6925120161902353,
1540
+ "grad_norm": 1.1945232152938843,
1541
+ "learning_rate": 6.152289400455351e-06,
1542
+ "loss": 2.8619,
1543
+ "step": 5475
1544
+ },
1545
+ {
1546
+ "epoch": 0.6956741715153049,
1547
+ "grad_norm": 1.3923369646072388,
1548
+ "learning_rate": 6.08904629395396e-06,
1549
+ "loss": 2.9955,
1550
+ "step": 5500
1551
+ },
1552
+ {
1553
+ "epoch": 0.6988363268403744,
1554
+ "grad_norm": 1.7948927879333496,
1555
+ "learning_rate": 6.025803187452568e-06,
1556
+ "loss": 3.0742,
1557
+ "step": 5525
1558
+ },
1559
+ {
1560
+ "epoch": 0.7019984821654439,
1561
+ "grad_norm": 1.4123344421386719,
1562
+ "learning_rate": 5.962560080951176e-06,
1563
+ "loss": 2.9499,
1564
+ "step": 5550
1565
+ },
1566
+ {
1567
+ "epoch": 0.7051606374905135,
1568
+ "grad_norm": 1.5082272291183472,
1569
+ "learning_rate": 5.899316974449786e-06,
1570
+ "loss": 3.0861,
1571
+ "step": 5575
1572
+ },
1573
+ {
1574
+ "epoch": 0.7083227928155831,
1575
+ "grad_norm": 1.6818978786468506,
1576
+ "learning_rate": 5.836073867948394e-06,
1577
+ "loss": 2.7944,
1578
+ "step": 5600
1579
+ },
1580
+ {
1581
+ "epoch": 0.7114849481406527,
1582
+ "grad_norm": 2.072303295135498,
1583
+ "learning_rate": 5.772830761447002e-06,
1584
+ "loss": 3.021,
1585
+ "step": 5625
1586
+ },
1587
+ {
1588
+ "epoch": 0.7146471034657222,
1589
+ "grad_norm": 1.2416434288024902,
1590
+ "learning_rate": 5.7095876549456105e-06,
1591
+ "loss": 2.7849,
1592
+ "step": 5650
1593
+ },
1594
+ {
1595
+ "epoch": 0.7178092587907918,
1596
+ "grad_norm": 1.6787675619125366,
1597
+ "learning_rate": 5.64634454844422e-06,
1598
+ "loss": 2.9102,
1599
+ "step": 5675
1600
+ },
1601
+ {
1602
+ "epoch": 0.7209714141158614,
1603
+ "grad_norm": 1.542455792427063,
1604
+ "learning_rate": 5.5831014419428286e-06,
1605
+ "loss": 2.8268,
1606
+ "step": 5700
1607
+ },
1608
+ {
1609
+ "epoch": 0.724133569440931,
1610
+ "grad_norm": 2.0236566066741943,
1611
+ "learning_rate": 5.519858335441437e-06,
1612
+ "loss": 2.8222,
1613
+ "step": 5725
1614
+ },
1615
+ {
1616
+ "epoch": 0.7272957247660005,
1617
+ "grad_norm": 1.5775691270828247,
1618
+ "learning_rate": 5.456615228940047e-06,
1619
+ "loss": 2.9778,
1620
+ "step": 5750
1621
+ },
1622
+ {
1623
+ "epoch": 0.73045788009107,
1624
+ "grad_norm": 1.792724847793579,
1625
+ "learning_rate": 5.393372122438655e-06,
1626
+ "loss": 2.9323,
1627
+ "step": 5775
1628
+ },
1629
+ {
1630
+ "epoch": 0.7336200354161396,
1631
+ "grad_norm": 1.5170587301254272,
1632
+ "learning_rate": 5.330129015937263e-06,
1633
+ "loss": 2.8671,
1634
+ "step": 5800
1635
+ },
1636
+ {
1637
+ "epoch": 0.7367821907412092,
1638
+ "grad_norm": 1.418395757675171,
1639
+ "learning_rate": 5.266885909435871e-06,
1640
+ "loss": 2.8153,
1641
+ "step": 5825
1642
+ },
1643
+ {
1644
+ "epoch": 0.7399443460662788,
1645
+ "grad_norm": 1.4458298683166504,
1646
+ "learning_rate": 5.203642802934481e-06,
1647
+ "loss": 2.9178,
1648
+ "step": 5850
1649
+ },
1650
+ {
1651
+ "epoch": 0.7431065013913484,
1652
+ "grad_norm": 1.6139628887176514,
1653
+ "learning_rate": 5.140399696433089e-06,
1654
+ "loss": 2.8857,
1655
+ "step": 5875
1656
+ },
1657
+ {
1658
+ "epoch": 0.746268656716418,
1659
+ "grad_norm": 1.1631035804748535,
1660
+ "learning_rate": 5.0771565899316975e-06,
1661
+ "loss": 2.9213,
1662
+ "step": 5900
1663
+ },
1664
+ {
1665
+ "epoch": 0.7494308120414874,
1666
+ "grad_norm": 1.5703893899917603,
1667
+ "learning_rate": 5.013913483430306e-06,
1668
+ "loss": 2.891,
1669
+ "step": 5925
1670
+ },
1671
+ {
1672
+ "epoch": 0.752592967366557,
1673
+ "grad_norm": 1.4471451044082642,
1674
+ "learning_rate": 4.950670376928915e-06,
1675
+ "loss": 2.8261,
1676
+ "step": 5950
1677
+ },
1678
+ {
1679
+ "epoch": 0.7557551226916266,
1680
+ "grad_norm": 1.6305294036865234,
1681
+ "learning_rate": 4.887427270427524e-06,
1682
+ "loss": 2.8918,
1683
+ "step": 5975
1684
+ },
1685
+ {
1686
+ "epoch": 0.7589172780166962,
1687
+ "grad_norm": 1.3186579942703247,
1688
+ "learning_rate": 4.824184163926132e-06,
1689
+ "loss": 2.9478,
1690
+ "step": 6000
1691
+ },
1692
+ {
1693
+ "epoch": 0.7620794333417658,
1694
+ "grad_norm": 1.4258198738098145,
1695
+ "learning_rate": 4.760941057424741e-06,
1696
+ "loss": 2.9313,
1697
+ "step": 6025
1698
+ },
1699
+ {
1700
+ "epoch": 0.7652415886668353,
1701
+ "grad_norm": 1.5036190748214722,
1702
+ "learning_rate": 4.69769795092335e-06,
1703
+ "loss": 2.9562,
1704
+ "step": 6050
1705
+ },
1706
+ {
1707
+ "epoch": 0.7684037439919049,
1708
+ "grad_norm": 1.7764675617218018,
1709
+ "learning_rate": 4.634454844421958e-06,
1710
+ "loss": 2.9396,
1711
+ "step": 6075
1712
+ },
1713
+ {
1714
+ "epoch": 0.7715658993169745,
1715
+ "grad_norm": 1.624964714050293,
1716
+ "learning_rate": 4.571211737920567e-06,
1717
+ "loss": 2.8789,
1718
+ "step": 6100
1719
+ },
1720
+ {
1721
+ "epoch": 0.774728054642044,
1722
+ "grad_norm": 1.1885554790496826,
1723
+ "learning_rate": 4.5079686314191755e-06,
1724
+ "loss": 2.9756,
1725
+ "step": 6125
1726
+ },
1727
+ {
1728
+ "epoch": 0.7778902099671136,
1729
+ "grad_norm": 1.752863883972168,
1730
+ "learning_rate": 4.444725524917785e-06,
1731
+ "loss": 2.7279,
1732
+ "step": 6150
1733
+ },
1734
+ {
1735
+ "epoch": 0.7810523652921831,
1736
+ "grad_norm": 1.4653725624084473,
1737
+ "learning_rate": 4.381482418416393e-06,
1738
+ "loss": 3.0123,
1739
+ "step": 6175
1740
+ },
1741
+ {
1742
+ "epoch": 0.7842145206172527,
1743
+ "grad_norm": 1.5357298851013184,
1744
+ "learning_rate": 4.318239311915002e-06,
1745
+ "loss": 2.7978,
1746
+ "step": 6200
1747
+ },
1748
+ {
1749
+ "epoch": 0.7873766759423223,
1750
+ "grad_norm": 1.4677993059158325,
1751
+ "learning_rate": 4.25499620541361e-06,
1752
+ "loss": 2.8016,
1753
+ "step": 6225
1754
+ },
1755
+ {
1756
+ "epoch": 0.7905388312673919,
1757
+ "grad_norm": 1.3810391426086426,
1758
+ "learning_rate": 4.191753098912219e-06,
1759
+ "loss": 2.7919,
1760
+ "step": 6250
1761
+ },
1762
+ {
1763
+ "epoch": 0.7937009865924615,
1764
+ "grad_norm": 1.827034831047058,
1765
+ "learning_rate": 4.128509992410827e-06,
1766
+ "loss": 2.9552,
1767
+ "step": 6275
1768
+ },
1769
+ {
1770
+ "epoch": 0.7968631419175309,
1771
+ "grad_norm": 1.7732640504837036,
1772
+ "learning_rate": 4.065266885909436e-06,
1773
+ "loss": 3.03,
1774
+ "step": 6300
1775
+ },
1776
+ {
1777
+ "epoch": 0.8000252972426005,
1778
+ "grad_norm": 2.2995574474334717,
1779
+ "learning_rate": 4.0020237794080445e-06,
1780
+ "loss": 3.027,
1781
+ "step": 6325
1782
+ },
1783
+ {
1784
+ "epoch": 0.8031874525676701,
1785
+ "grad_norm": 1.664284110069275,
1786
+ "learning_rate": 3.9387806729066536e-06,
1787
+ "loss": 2.9782,
1788
+ "step": 6350
1789
+ },
1790
+ {
1791
+ "epoch": 0.8063496078927397,
1792
+ "grad_norm": 1.7057468891143799,
1793
+ "learning_rate": 3.875537566405262e-06,
1794
+ "loss": 2.8451,
1795
+ "step": 6375
1796
+ },
1797
+ {
1798
+ "epoch": 0.8095117632178093,
1799
+ "grad_norm": 1.548420786857605,
1800
+ "learning_rate": 3.812294459903871e-06,
1801
+ "loss": 2.7688,
1802
+ "step": 6400
1803
+ },
1804
+ {
1805
+ "epoch": 0.8126739185428788,
1806
+ "grad_norm": 1.467391014099121,
1807
+ "learning_rate": 3.749051353402479e-06,
1808
+ "loss": 2.9415,
1809
+ "step": 6425
1810
+ },
1811
+ {
1812
+ "epoch": 0.8158360738679484,
1813
+ "grad_norm": 1.6299670934677124,
1814
+ "learning_rate": 3.685808246901088e-06,
1815
+ "loss": 2.9104,
1816
+ "step": 6450
1817
+ },
1818
+ {
1819
+ "epoch": 0.818998229193018,
1820
+ "grad_norm": 1.7904433012008667,
1821
+ "learning_rate": 3.622565140399697e-06,
1822
+ "loss": 2.8673,
1823
+ "step": 6475
1824
+ },
1825
+ {
1826
+ "epoch": 0.8221603845180875,
1827
+ "grad_norm": 1.5487452745437622,
1828
+ "learning_rate": 3.5593220338983053e-06,
1829
+ "loss": 2.991,
1830
+ "step": 6500
1831
+ },
1832
+ {
1833
+ "epoch": 0.8253225398431571,
1834
+ "grad_norm": 2.021498918533325,
1835
+ "learning_rate": 3.4960789273969143e-06,
1836
+ "loss": 2.9309,
1837
+ "step": 6525
1838
+ },
1839
+ {
1840
+ "epoch": 0.8284846951682266,
1841
+ "grad_norm": 1.6797212362289429,
1842
+ "learning_rate": 3.4328358208955225e-06,
1843
+ "loss": 2.7787,
1844
+ "step": 6550
1845
+ },
1846
+ {
1847
+ "epoch": 0.8316468504932962,
1848
+ "grad_norm": 1.5939486026763916,
1849
+ "learning_rate": 3.3695927143941316e-06,
1850
+ "loss": 2.8101,
1851
+ "step": 6575
1852
+ },
1853
+ {
1854
+ "epoch": 0.8348090058183658,
1855
+ "grad_norm": 1.506430983543396,
1856
+ "learning_rate": 3.3063496078927398e-06,
1857
+ "loss": 2.9788,
1858
+ "step": 6600
1859
+ },
1860
+ {
1861
+ "epoch": 0.8379711611434354,
1862
+ "grad_norm": 1.3282697200775146,
1863
+ "learning_rate": 3.243106501391349e-06,
1864
+ "loss": 2.8371,
1865
+ "step": 6625
1866
+ },
1867
+ {
1868
+ "epoch": 0.841133316468505,
1869
+ "grad_norm": 1.799822449684143,
1870
+ "learning_rate": 3.179863394889957e-06,
1871
+ "loss": 2.9774,
1872
+ "step": 6650
1873
+ },
1874
+ {
1875
+ "epoch": 0.8442954717935744,
1876
+ "grad_norm": 1.6544405221939087,
1877
+ "learning_rate": 3.116620288388566e-06,
1878
+ "loss": 2.8366,
1879
+ "step": 6675
1880
+ },
1881
+ {
1882
+ "epoch": 0.847457627118644,
1883
+ "grad_norm": 1.7522649765014648,
1884
+ "learning_rate": 3.0533771818871742e-06,
1885
+ "loss": 2.9712,
1886
+ "step": 6700
1887
+ },
1888
+ {
1889
+ "epoch": 0.8506197824437136,
1890
+ "grad_norm": 1.5311869382858276,
1891
+ "learning_rate": 2.9901340753857833e-06,
1892
+ "loss": 2.792,
1893
+ "step": 6725
1894
+ },
1895
+ {
1896
+ "epoch": 0.8537819377687832,
1897
+ "grad_norm": 1.1723778247833252,
1898
+ "learning_rate": 2.9268909688843915e-06,
1899
+ "loss": 2.9395,
1900
+ "step": 6750
1901
+ },
1902
+ {
1903
+ "epoch": 0.8569440930938528,
1904
+ "grad_norm": 1.9257378578186035,
1905
+ "learning_rate": 2.8636478623830005e-06,
1906
+ "loss": 2.9973,
1907
+ "step": 6775
1908
+ },
1909
+ {
1910
+ "epoch": 0.8601062484189224,
1911
+ "grad_norm": 1.4320708513259888,
1912
+ "learning_rate": 2.8004047558816087e-06,
1913
+ "loss": 2.739,
1914
+ "step": 6800
1915
+ },
1916
+ {
1917
+ "epoch": 0.8632684037439919,
1918
+ "grad_norm": 1.961350679397583,
1919
+ "learning_rate": 2.7371616493802178e-06,
1920
+ "loss": 3.0129,
1921
+ "step": 6825
1922
+ },
1923
+ {
1924
+ "epoch": 0.8664305590690615,
1925
+ "grad_norm": 1.7785652875900269,
1926
+ "learning_rate": 2.673918542878827e-06,
1927
+ "loss": 3.0007,
1928
+ "step": 6850
1929
+ },
1930
+ {
1931
+ "epoch": 0.869592714394131,
1932
+ "grad_norm": 1.5985599756240845,
1933
+ "learning_rate": 2.610675436377435e-06,
1934
+ "loss": 2.8996,
1935
+ "step": 6875
1936
+ },
1937
+ {
1938
+ "epoch": 0.8727548697192006,
1939
+ "grad_norm": 1.4986529350280762,
1940
+ "learning_rate": 2.547432329876044e-06,
1941
+ "loss": 2.917,
1942
+ "step": 6900
1943
+ },
1944
+ {
1945
+ "epoch": 0.8759170250442702,
1946
+ "grad_norm": 1.4311537742614746,
1947
+ "learning_rate": 2.4841892233746523e-06,
1948
+ "loss": 2.8844,
1949
+ "step": 6925
1950
+ },
1951
+ {
1952
+ "epoch": 0.8790791803693397,
1953
+ "grad_norm": 1.8189743757247925,
1954
+ "learning_rate": 2.420946116873261e-06,
1955
+ "loss": 2.9588,
1956
+ "step": 6950
1957
+ },
1958
+ {
1959
+ "epoch": 0.8822413356944093,
1960
+ "grad_norm": 1.1215569972991943,
1961
+ "learning_rate": 2.3577030103718695e-06,
1962
+ "loss": 2.8752,
1963
+ "step": 6975
1964
+ },
1965
+ {
1966
+ "epoch": 0.8854034910194789,
1967
+ "grad_norm": 1.4951814413070679,
1968
+ "learning_rate": 2.294459903870478e-06,
1969
+ "loss": 2.8954,
1970
+ "step": 7000
1971
+ },
1972
+ {
1973
+ "epoch": 0.8885656463445485,
1974
+ "grad_norm": 1.464539885520935,
1975
+ "learning_rate": 2.231216797369087e-06,
1976
+ "loss": 2.7321,
1977
+ "step": 7025
1978
+ },
1979
+ {
1980
+ "epoch": 0.891727801669618,
1981
+ "grad_norm": 1.4621193408966064,
1982
+ "learning_rate": 2.1679736908676958e-06,
1983
+ "loss": 2.8688,
1984
+ "step": 7050
1985
+ },
1986
+ {
1987
+ "epoch": 0.8948899569946875,
1988
+ "grad_norm": 1.6291460990905762,
1989
+ "learning_rate": 2.1047305843663044e-06,
1990
+ "loss": 2.8068,
1991
+ "step": 7075
1992
+ },
1993
+ {
1994
+ "epoch": 0.8980521123197571,
1995
+ "grad_norm": 1.4216442108154297,
1996
+ "learning_rate": 2.041487477864913e-06,
1997
+ "loss": 2.9351,
1998
+ "step": 7100
1999
+ },
2000
+ {
2001
+ "epoch": 0.9012142676448267,
2002
+ "grad_norm": 1.306211233139038,
2003
+ "learning_rate": 1.9782443713635216e-06,
2004
+ "loss": 2.9398,
2005
+ "step": 7125
2006
+ },
2007
+ {
2008
+ "epoch": 0.9043764229698963,
2009
+ "grad_norm": 1.6560629606246948,
2010
+ "learning_rate": 1.9150012648621303e-06,
2011
+ "loss": 2.9728,
2012
+ "step": 7150
2013
+ },
2014
+ {
2015
+ "epoch": 0.9075385782949659,
2016
+ "grad_norm": 1.9747501611709595,
2017
+ "learning_rate": 1.8517581583607389e-06,
2018
+ "loss": 2.903,
2019
+ "step": 7175
2020
+ },
2021
+ {
2022
+ "epoch": 0.9107007336200355,
2023
+ "grad_norm": 1.3126964569091797,
2024
+ "learning_rate": 1.7885150518593475e-06,
2025
+ "loss": 2.796,
2026
+ "step": 7200
2027
+ },
2028
+ {
2029
+ "epoch": 0.913862888945105,
2030
+ "grad_norm": 1.5026005506515503,
2031
+ "learning_rate": 1.7252719453579561e-06,
2032
+ "loss": 2.7565,
2033
+ "step": 7225
2034
+ },
2035
+ {
2036
+ "epoch": 0.9170250442701745,
2037
+ "grad_norm": 1.5117318630218506,
2038
+ "learning_rate": 1.6620288388565647e-06,
2039
+ "loss": 2.8329,
2040
+ "step": 7250
2041
+ },
2042
+ {
2043
+ "epoch": 0.9201871995952441,
2044
+ "grad_norm": 1.812044382095337,
2045
+ "learning_rate": 1.5987857323551734e-06,
2046
+ "loss": 2.9988,
2047
+ "step": 7275
2048
+ },
2049
+ {
2050
+ "epoch": 0.9233493549203137,
2051
+ "grad_norm": 1.25447678565979,
2052
+ "learning_rate": 1.535542625853782e-06,
2053
+ "loss": 2.9395,
2054
+ "step": 7300
2055
+ },
2056
+ {
2057
+ "epoch": 0.9265115102453833,
2058
+ "grad_norm": 1.6009807586669922,
2059
+ "learning_rate": 1.4722995193523906e-06,
2060
+ "loss": 2.8487,
2061
+ "step": 7325
2062
+ },
2063
+ {
2064
+ "epoch": 0.9296736655704528,
2065
+ "grad_norm": 2.0983338356018066,
2066
+ "learning_rate": 1.4090564128509992e-06,
2067
+ "loss": 2.841,
2068
+ "step": 7350
2069
+ },
2070
+ {
2071
+ "epoch": 0.9328358208955224,
2072
+ "grad_norm": 1.5755832195281982,
2073
+ "learning_rate": 1.3458133063496079e-06,
2074
+ "loss": 2.8646,
2075
+ "step": 7375
2076
+ },
2077
+ {
2078
+ "epoch": 0.935997976220592,
2079
+ "grad_norm": 1.4814996719360352,
2080
+ "learning_rate": 1.2825701998482165e-06,
2081
+ "loss": 3.0229,
2082
+ "step": 7400
2083
+ },
2084
+ {
2085
+ "epoch": 0.9391601315456615,
2086
+ "grad_norm": 1.687947392463684,
2087
+ "learning_rate": 1.2193270933468253e-06,
2088
+ "loss": 2.8668,
2089
+ "step": 7425
2090
+ },
2091
+ {
2092
+ "epoch": 0.942322286870731,
2093
+ "grad_norm": 1.557085394859314,
2094
+ "learning_rate": 1.156083986845434e-06,
2095
+ "loss": 2.9006,
2096
+ "step": 7450
2097
+ },
2098
+ {
2099
+ "epoch": 0.9454844421958006,
2100
+ "grad_norm": 1.4846750497817993,
2101
+ "learning_rate": 1.0928408803440425e-06,
2102
+ "loss": 2.9055,
2103
+ "step": 7475
2104
+ },
2105
+ {
2106
+ "epoch": 0.9486465975208702,
2107
+ "grad_norm": 2.095038652420044,
2108
+ "learning_rate": 1.0295977738426512e-06,
2109
+ "loss": 3.0127,
2110
+ "step": 7500
2111
+ }
2112
+ ],
2113
+ "logging_steps": 25,
2114
+ "max_steps": 7906,
2115
+ "num_input_tokens_seen": 0,
2116
+ "num_train_epochs": 1,
2117
+ "save_steps": 500,
2118
+ "stateful_callbacks": {
2119
+ "TrainerControl": {
2120
+ "args": {
2121
+ "should_epoch_stop": false,
2122
+ "should_evaluate": false,
2123
+ "should_log": false,
2124
+ "should_save": true,
2125
+ "should_training_stop": false
2126
+ },
2127
+ "attributes": {}
2128
+ }
2129
+ },
2130
+ "total_flos": 1995574026240000.0,
2131
+ "train_batch_size": 2,
2132
+ "trial_name": null,
2133
+ "trial_params": null
2134
+ }
checkpoint-7500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72b581cd8e50466800ca90569133129aafadaef26c6c1972c6abcf6f033d31ec
3
+ size 5869
checkpoint-7906/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_cross_attention": true,
3
+ "architectures": [
4
+ "BertLMHeadModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "dtype": "float32",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 384,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 1536,
15
+ "is_decoder": true,
16
+ "layer_norm_eps": 1e-12,
17
+ "max_position_embeddings": 512,
18
+ "model_type": "bert",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 6,
21
+ "pad_token_id": 0,
22
+ "position_embedding_type": "absolute",
23
+ "transformers_version": "4.57.1",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
checkpoint-7906/generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.57.1"
5
+ }
checkpoint-7906/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a16e5f60ed44d8542a97a281d474481a19da2f9891decde86a56e18e6ae81b9
3
+ size 90990200
checkpoint-7906/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc6b9409750e7722b14804716a7cd8c38c9ce22af04b1d1a0261ebfef6391c3a
3
+ size 182045763
checkpoint-7906/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c4d99ee630a976bb8c7d6176de77b819582254d49513fc0d7b379a9da346929
3
+ size 14565
checkpoint-7906/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05d93cfea447e9e85726e69ff11d8f88b5af6417bfc064d3e1d3d5151db8ea84
3
+ size 1389
checkpoint-7906/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b12c834264ad82dd87e7717e3f15cfb9e42b004d4cceeda0c654f0fa220db40e
3
+ size 1453
checkpoint-7906/trainer_state.json ADDED
@@ -0,0 +1,2246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 7906,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0031621553250695674,
14
+ "grad_norm": 11.55327320098877,
15
+ "learning_rate": 1.9939286617758668e-05,
16
+ "loss": 8.596,
17
+ "step": 25
18
+ },
19
+ {
20
+ "epoch": 0.006324310650139135,
21
+ "grad_norm": 5.928526401519775,
22
+ "learning_rate": 1.9876043511257274e-05,
23
+ "loss": 5.501,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.009486465975208701,
28
+ "grad_norm": 2.7216451168060303,
29
+ "learning_rate": 1.9812800404755884e-05,
30
+ "loss": 4.9742,
31
+ "step": 75
32
+ },
33
+ {
34
+ "epoch": 0.01264862130027827,
35
+ "grad_norm": 2.725499153137207,
36
+ "learning_rate": 1.974955729825449e-05,
37
+ "loss": 4.6023,
38
+ "step": 100
39
+ },
40
+ {
41
+ "epoch": 0.015810776625347838,
42
+ "grad_norm": 2.318068027496338,
43
+ "learning_rate": 1.96863141917531e-05,
44
+ "loss": 4.4124,
45
+ "step": 125
46
+ },
47
+ {
48
+ "epoch": 0.018972931950417403,
49
+ "grad_norm": 2.437415838241577,
50
+ "learning_rate": 1.9623071085251707e-05,
51
+ "loss": 4.5471,
52
+ "step": 150
53
+ },
54
+ {
55
+ "epoch": 0.02213508727548697,
56
+ "grad_norm": 1.6126755475997925,
57
+ "learning_rate": 1.955982797875032e-05,
58
+ "loss": 4.0951,
59
+ "step": 175
60
+ },
61
+ {
62
+ "epoch": 0.02529724260055654,
63
+ "grad_norm": 1.9190938472747803,
64
+ "learning_rate": 1.9496584872248927e-05,
65
+ "loss": 4.0572,
66
+ "step": 200
67
+ },
68
+ {
69
+ "epoch": 0.028459397925626108,
70
+ "grad_norm": 1.6798152923583984,
71
+ "learning_rate": 1.9433341765747537e-05,
72
+ "loss": 3.9318,
73
+ "step": 225
74
+ },
75
+ {
76
+ "epoch": 0.031621553250695676,
77
+ "grad_norm": 2.02826189994812,
78
+ "learning_rate": 1.9370098659246143e-05,
79
+ "loss": 3.9254,
80
+ "step": 250
81
+ },
82
+ {
83
+ "epoch": 0.034783708575765244,
84
+ "grad_norm": 1.6234019994735718,
85
+ "learning_rate": 1.9306855552744753e-05,
86
+ "loss": 3.7144,
87
+ "step": 275
88
+ },
89
+ {
90
+ "epoch": 0.037945863900834806,
91
+ "grad_norm": 2.1222445964813232,
92
+ "learning_rate": 1.924361244624336e-05,
93
+ "loss": 4.0748,
94
+ "step": 300
95
+ },
96
+ {
97
+ "epoch": 0.041108019225904374,
98
+ "grad_norm": 1.8071123361587524,
99
+ "learning_rate": 1.918036933974197e-05,
100
+ "loss": 3.8597,
101
+ "step": 325
102
+ },
103
+ {
104
+ "epoch": 0.04427017455097394,
105
+ "grad_norm": 1.2955825328826904,
106
+ "learning_rate": 1.911712623324058e-05,
107
+ "loss": 3.6891,
108
+ "step": 350
109
+ },
110
+ {
111
+ "epoch": 0.04743232987604351,
112
+ "grad_norm": 1.9034608602523804,
113
+ "learning_rate": 1.905388312673919e-05,
114
+ "loss": 3.8955,
115
+ "step": 375
116
+ },
117
+ {
118
+ "epoch": 0.05059448520111308,
119
+ "grad_norm": 1.649466872215271,
120
+ "learning_rate": 1.8990640020237796e-05,
121
+ "loss": 3.8186,
122
+ "step": 400
123
+ },
124
+ {
125
+ "epoch": 0.05375664052618265,
126
+ "grad_norm": 1.8459181785583496,
127
+ "learning_rate": 1.8927396913736406e-05,
128
+ "loss": 3.5247,
129
+ "step": 425
130
+ },
131
+ {
132
+ "epoch": 0.056918795851252216,
133
+ "grad_norm": 1.5839076042175293,
134
+ "learning_rate": 1.8864153807235012e-05,
135
+ "loss": 3.756,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.060080951176321784,
140
+ "grad_norm": 1.5614947080612183,
141
+ "learning_rate": 1.8800910700733622e-05,
142
+ "loss": 3.6433,
143
+ "step": 475
144
+ },
145
+ {
146
+ "epoch": 0.06324310650139135,
147
+ "grad_norm": 1.7831311225891113,
148
+ "learning_rate": 1.873766759423223e-05,
149
+ "loss": 3.9025,
150
+ "step": 500
151
+ },
152
+ {
153
+ "epoch": 0.06640526182646092,
154
+ "grad_norm": 1.4928420782089233,
155
+ "learning_rate": 1.867442448773084e-05,
156
+ "loss": 3.4216,
157
+ "step": 525
158
+ },
159
+ {
160
+ "epoch": 0.06956741715153049,
161
+ "grad_norm": 1.8199015855789185,
162
+ "learning_rate": 1.861118138122945e-05,
163
+ "loss": 3.7497,
164
+ "step": 550
165
+ },
166
+ {
167
+ "epoch": 0.07272957247660006,
168
+ "grad_norm": 1.6205722093582153,
169
+ "learning_rate": 1.854793827472806e-05,
170
+ "loss": 3.4153,
171
+ "step": 575
172
+ },
173
+ {
174
+ "epoch": 0.07589172780166961,
175
+ "grad_norm": 1.4476927518844604,
176
+ "learning_rate": 1.8484695168226665e-05,
177
+ "loss": 3.6298,
178
+ "step": 600
179
+ },
180
+ {
181
+ "epoch": 0.07905388312673918,
182
+ "grad_norm": 1.5358431339263916,
183
+ "learning_rate": 1.8421452061725275e-05,
184
+ "loss": 3.5282,
185
+ "step": 625
186
+ },
187
+ {
188
+ "epoch": 0.08221603845180875,
189
+ "grad_norm": 1.616495966911316,
190
+ "learning_rate": 1.835820895522388e-05,
191
+ "loss": 3.6029,
192
+ "step": 650
193
+ },
194
+ {
195
+ "epoch": 0.08537819377687832,
196
+ "grad_norm": 1.4835790395736694,
197
+ "learning_rate": 1.829496584872249e-05,
198
+ "loss": 3.6817,
199
+ "step": 675
200
+ },
201
+ {
202
+ "epoch": 0.08854034910194788,
203
+ "grad_norm": 1.8951404094696045,
204
+ "learning_rate": 1.8231722742221098e-05,
205
+ "loss": 3.5222,
206
+ "step": 700
207
+ },
208
+ {
209
+ "epoch": 0.09170250442701745,
210
+ "grad_norm": 1.4792296886444092,
211
+ "learning_rate": 1.8168479635719707e-05,
212
+ "loss": 3.552,
213
+ "step": 725
214
+ },
215
+ {
216
+ "epoch": 0.09486465975208702,
217
+ "grad_norm": 1.5331674814224243,
218
+ "learning_rate": 1.8105236529218317e-05,
219
+ "loss": 3.6274,
220
+ "step": 750
221
+ },
222
+ {
223
+ "epoch": 0.09802681507715659,
224
+ "grad_norm": 1.3521767854690552,
225
+ "learning_rate": 1.8041993422716927e-05,
226
+ "loss": 3.4604,
227
+ "step": 775
228
+ },
229
+ {
230
+ "epoch": 0.10118897040222616,
231
+ "grad_norm": 1.9199748039245605,
232
+ "learning_rate": 1.7978750316215534e-05,
233
+ "loss": 3.6434,
234
+ "step": 800
235
+ },
236
+ {
237
+ "epoch": 0.10435112572729573,
238
+ "grad_norm": 1.4599398374557495,
239
+ "learning_rate": 1.7915507209714144e-05,
240
+ "loss": 3.4381,
241
+ "step": 825
242
+ },
243
+ {
244
+ "epoch": 0.1075132810523653,
245
+ "grad_norm": 1.8845282793045044,
246
+ "learning_rate": 1.785226410321275e-05,
247
+ "loss": 3.4885,
248
+ "step": 850
249
+ },
250
+ {
251
+ "epoch": 0.11067543637743486,
252
+ "grad_norm": 1.6054080724716187,
253
+ "learning_rate": 1.778902099671136e-05,
254
+ "loss": 3.4714,
255
+ "step": 875
256
+ },
257
+ {
258
+ "epoch": 0.11383759170250443,
259
+ "grad_norm": 1.4243124723434448,
260
+ "learning_rate": 1.7725777890209967e-05,
261
+ "loss": 3.423,
262
+ "step": 900
263
+ },
264
+ {
265
+ "epoch": 0.116999747027574,
266
+ "grad_norm": 1.828045129776001,
267
+ "learning_rate": 1.7662534783708576e-05,
268
+ "loss": 3.3451,
269
+ "step": 925
270
+ },
271
+ {
272
+ "epoch": 0.12016190235264357,
273
+ "grad_norm": 1.7184784412384033,
274
+ "learning_rate": 1.7599291677207186e-05,
275
+ "loss": 3.4567,
276
+ "step": 950
277
+ },
278
+ {
279
+ "epoch": 0.12332405767771312,
280
+ "grad_norm": 2.0031352043151855,
281
+ "learning_rate": 1.7536048570705796e-05,
282
+ "loss": 3.5227,
283
+ "step": 975
284
+ },
285
+ {
286
+ "epoch": 0.1264862130027827,
287
+ "grad_norm": 1.8211214542388916,
288
+ "learning_rate": 1.7472805464204403e-05,
289
+ "loss": 3.4222,
290
+ "step": 1000
291
+ },
292
+ {
293
+ "epoch": 0.12964836832785226,
294
+ "grad_norm": 1.6366448402404785,
295
+ "learning_rate": 1.7409562357703013e-05,
296
+ "loss": 3.3479,
297
+ "step": 1025
298
+ },
299
+ {
300
+ "epoch": 0.13281052365292184,
301
+ "grad_norm": 1.4770481586456299,
302
+ "learning_rate": 1.734631925120162e-05,
303
+ "loss": 3.4232,
304
+ "step": 1050
305
+ },
306
+ {
307
+ "epoch": 0.1359726789779914,
308
+ "grad_norm": 1.3028419017791748,
309
+ "learning_rate": 1.728307614470023e-05,
310
+ "loss": 3.2511,
311
+ "step": 1075
312
+ },
313
+ {
314
+ "epoch": 0.13913483430306098,
315
+ "grad_norm": 1.8425815105438232,
316
+ "learning_rate": 1.721983303819884e-05,
317
+ "loss": 3.3851,
318
+ "step": 1100
319
+ },
320
+ {
321
+ "epoch": 0.14229698962813053,
322
+ "grad_norm": 1.5002127885818481,
323
+ "learning_rate": 1.715658993169745e-05,
324
+ "loss": 3.5281,
325
+ "step": 1125
326
+ },
327
+ {
328
+ "epoch": 0.14545914495320011,
329
+ "grad_norm": 1.5222417116165161,
330
+ "learning_rate": 1.7093346825196055e-05,
331
+ "loss": 3.3473,
332
+ "step": 1150
333
+ },
334
+ {
335
+ "epoch": 0.14862130027826967,
336
+ "grad_norm": 1.628788948059082,
337
+ "learning_rate": 1.7030103718694665e-05,
338
+ "loss": 3.3795,
339
+ "step": 1175
340
+ },
341
+ {
342
+ "epoch": 0.15178345560333922,
343
+ "grad_norm": 1.3158140182495117,
344
+ "learning_rate": 1.6966860612193272e-05,
345
+ "loss": 3.5536,
346
+ "step": 1200
347
+ },
348
+ {
349
+ "epoch": 0.1549456109284088,
350
+ "grad_norm": 1.8109098672866821,
351
+ "learning_rate": 1.690361750569188e-05,
352
+ "loss": 3.3006,
353
+ "step": 1225
354
+ },
355
+ {
356
+ "epoch": 0.15810776625347836,
357
+ "grad_norm": 2.0179309844970703,
358
+ "learning_rate": 1.6840374399190488e-05,
359
+ "loss": 3.4737,
360
+ "step": 1250
361
+ },
362
+ {
363
+ "epoch": 0.16126992157854794,
364
+ "grad_norm": 1.8066917657852173,
365
+ "learning_rate": 1.6777131292689098e-05,
366
+ "loss": 3.3135,
367
+ "step": 1275
368
+ },
369
+ {
370
+ "epoch": 0.1644320769036175,
371
+ "grad_norm": 1.4508979320526123,
372
+ "learning_rate": 1.6713888186187708e-05,
373
+ "loss": 3.154,
374
+ "step": 1300
375
+ },
376
+ {
377
+ "epoch": 0.16759423222868708,
378
+ "grad_norm": 1.324156641960144,
379
+ "learning_rate": 1.6650645079686318e-05,
380
+ "loss": 3.3076,
381
+ "step": 1325
382
+ },
383
+ {
384
+ "epoch": 0.17075638755375663,
385
+ "grad_norm": 1.7277374267578125,
386
+ "learning_rate": 1.6587401973184924e-05,
387
+ "loss": 3.3168,
388
+ "step": 1350
389
+ },
390
+ {
391
+ "epoch": 0.17391854287882622,
392
+ "grad_norm": 1.581597924232483,
393
+ "learning_rate": 1.6524158866683534e-05,
394
+ "loss": 3.2586,
395
+ "step": 1375
396
+ },
397
+ {
398
+ "epoch": 0.17708069820389577,
399
+ "grad_norm": 1.2408771514892578,
400
+ "learning_rate": 1.646091576018214e-05,
401
+ "loss": 3.3174,
402
+ "step": 1400
403
+ },
404
+ {
405
+ "epoch": 0.18024285352896535,
406
+ "grad_norm": 1.5069456100463867,
407
+ "learning_rate": 1.639767265368075e-05,
408
+ "loss": 3.2248,
409
+ "step": 1425
410
+ },
411
+ {
412
+ "epoch": 0.1834050088540349,
413
+ "grad_norm": 1.474717378616333,
414
+ "learning_rate": 1.6334429547179357e-05,
415
+ "loss": 3.2757,
416
+ "step": 1450
417
+ },
418
+ {
419
+ "epoch": 0.1865671641791045,
420
+ "grad_norm": 1.648443341255188,
421
+ "learning_rate": 1.6271186440677967e-05,
422
+ "loss": 3.2754,
423
+ "step": 1475
424
+ },
425
+ {
426
+ "epoch": 0.18972931950417404,
427
+ "grad_norm": 1.5270763635635376,
428
+ "learning_rate": 1.6207943334176577e-05,
429
+ "loss": 3.2413,
430
+ "step": 1500
431
+ },
432
+ {
433
+ "epoch": 0.19289147482924363,
434
+ "grad_norm": 1.643730640411377,
435
+ "learning_rate": 1.6144700227675187e-05,
436
+ "loss": 3.213,
437
+ "step": 1525
438
+ },
439
+ {
440
+ "epoch": 0.19605363015431318,
441
+ "grad_norm": 1.4000329971313477,
442
+ "learning_rate": 1.6081457121173793e-05,
443
+ "loss": 3.236,
444
+ "step": 1550
445
+ },
446
+ {
447
+ "epoch": 0.19921578547938273,
448
+ "grad_norm": 1.6957166194915771,
449
+ "learning_rate": 1.6018214014672403e-05,
450
+ "loss": 3.1811,
451
+ "step": 1575
452
+ },
453
+ {
454
+ "epoch": 0.20237794080445232,
455
+ "grad_norm": 1.763476848602295,
456
+ "learning_rate": 1.595497090817101e-05,
457
+ "loss": 3.2634,
458
+ "step": 1600
459
+ },
460
+ {
461
+ "epoch": 0.20554009612952187,
462
+ "grad_norm": 1.5622406005859375,
463
+ "learning_rate": 1.589172780166962e-05,
464
+ "loss": 3.2498,
465
+ "step": 1625
466
+ },
467
+ {
468
+ "epoch": 0.20870225145459145,
469
+ "grad_norm": 2.501917600631714,
470
+ "learning_rate": 1.5828484695168226e-05,
471
+ "loss": 3.3526,
472
+ "step": 1650
473
+ },
474
+ {
475
+ "epoch": 0.211864406779661,
476
+ "grad_norm": 1.5445410013198853,
477
+ "learning_rate": 1.5765241588666836e-05,
478
+ "loss": 3.25,
479
+ "step": 1675
480
+ },
481
+ {
482
+ "epoch": 0.2150265621047306,
483
+ "grad_norm": 1.420432209968567,
484
+ "learning_rate": 1.5701998482165446e-05,
485
+ "loss": 3.316,
486
+ "step": 1700
487
+ },
488
+ {
489
+ "epoch": 0.21818871742980014,
490
+ "grad_norm": 1.7002512216567993,
491
+ "learning_rate": 1.5638755375664056e-05,
492
+ "loss": 3.156,
493
+ "step": 1725
494
+ },
495
+ {
496
+ "epoch": 0.22135087275486973,
497
+ "grad_norm": 1.533703088760376,
498
+ "learning_rate": 1.5575512269162662e-05,
499
+ "loss": 3.0938,
500
+ "step": 1750
501
+ },
502
+ {
503
+ "epoch": 0.22451302807993928,
504
+ "grad_norm": 1.4791340827941895,
505
+ "learning_rate": 1.5512269162661272e-05,
506
+ "loss": 3.2756,
507
+ "step": 1775
508
+ },
509
+ {
510
+ "epoch": 0.22767518340500886,
511
+ "grad_norm": 1.783389925956726,
512
+ "learning_rate": 1.544902605615988e-05,
513
+ "loss": 3.3588,
514
+ "step": 1800
515
+ },
516
+ {
517
+ "epoch": 0.23083733873007842,
518
+ "grad_norm": 1.7652767896652222,
519
+ "learning_rate": 1.538578294965849e-05,
520
+ "loss": 3.1746,
521
+ "step": 1825
522
+ },
523
+ {
524
+ "epoch": 0.233999494055148,
525
+ "grad_norm": 1.7373157739639282,
526
+ "learning_rate": 1.53225398431571e-05,
527
+ "loss": 3.2757,
528
+ "step": 1850
529
+ },
530
+ {
531
+ "epoch": 0.23716164938021755,
532
+ "grad_norm": 1.655953049659729,
533
+ "learning_rate": 1.5259296736655705e-05,
534
+ "loss": 3.2366,
535
+ "step": 1875
536
+ },
537
+ {
538
+ "epoch": 0.24032380470528714,
539
+ "grad_norm": 1.4808825254440308,
540
+ "learning_rate": 1.5196053630154315e-05,
541
+ "loss": 3.2056,
542
+ "step": 1900
543
+ },
544
+ {
545
+ "epoch": 0.2434859600303567,
546
+ "grad_norm": 1.3337376117706299,
547
+ "learning_rate": 1.5132810523652923e-05,
548
+ "loss": 2.9247,
549
+ "step": 1925
550
+ },
551
+ {
552
+ "epoch": 0.24664811535542625,
553
+ "grad_norm": 1.3115172386169434,
554
+ "learning_rate": 1.5069567417151531e-05,
555
+ "loss": 3.3964,
556
+ "step": 1950
557
+ },
558
+ {
559
+ "epoch": 0.24981027068049583,
560
+ "grad_norm": 1.3567864894866943,
561
+ "learning_rate": 1.500632431065014e-05,
562
+ "loss": 3.2777,
563
+ "step": 1975
564
+ },
565
+ {
566
+ "epoch": 0.2529724260055654,
567
+ "grad_norm": 1.5610828399658203,
568
+ "learning_rate": 1.4943081204148748e-05,
569
+ "loss": 3.0115,
570
+ "step": 2000
571
+ },
572
+ {
573
+ "epoch": 0.25613458133063494,
574
+ "grad_norm": 1.6952314376831055,
575
+ "learning_rate": 1.4879838097647357e-05,
576
+ "loss": 3.2321,
577
+ "step": 2025
578
+ },
579
+ {
580
+ "epoch": 0.2592967366557045,
581
+ "grad_norm": 1.5469592809677124,
582
+ "learning_rate": 1.4816594991145967e-05,
583
+ "loss": 3.1697,
584
+ "step": 2050
585
+ },
586
+ {
587
+ "epoch": 0.2624588919807741,
588
+ "grad_norm": 1.7456170320510864,
589
+ "learning_rate": 1.4753351884644576e-05,
590
+ "loss": 3.0305,
591
+ "step": 2075
592
+ },
593
+ {
594
+ "epoch": 0.2656210473058437,
595
+ "grad_norm": 1.8613225221633911,
596
+ "learning_rate": 1.4690108778143184e-05,
597
+ "loss": 3.1094,
598
+ "step": 2100
599
+ },
600
+ {
601
+ "epoch": 0.2687832026309132,
602
+ "grad_norm": 1.6130377054214478,
603
+ "learning_rate": 1.4626865671641792e-05,
604
+ "loss": 3.1656,
605
+ "step": 2125
606
+ },
607
+ {
608
+ "epoch": 0.2719453579559828,
609
+ "grad_norm": 1.4752004146575928,
610
+ "learning_rate": 1.45636225651404e-05,
611
+ "loss": 3.1527,
612
+ "step": 2150
613
+ },
614
+ {
615
+ "epoch": 0.2751075132810524,
616
+ "grad_norm": 1.3546524047851562,
617
+ "learning_rate": 1.4500379458639008e-05,
618
+ "loss": 3.1096,
619
+ "step": 2175
620
+ },
621
+ {
622
+ "epoch": 0.27826966860612196,
623
+ "grad_norm": 1.5383223295211792,
624
+ "learning_rate": 1.4437136352137617e-05,
625
+ "loss": 3.3534,
626
+ "step": 2200
627
+ },
628
+ {
629
+ "epoch": 0.2814318239311915,
630
+ "grad_norm": 1.7905950546264648,
631
+ "learning_rate": 1.4373893245636228e-05,
632
+ "loss": 3.2779,
633
+ "step": 2225
634
+ },
635
+ {
636
+ "epoch": 0.28459397925626106,
637
+ "grad_norm": 1.408922553062439,
638
+ "learning_rate": 1.4310650139134836e-05,
639
+ "loss": 3.0517,
640
+ "step": 2250
641
+ },
642
+ {
643
+ "epoch": 0.28775613458133065,
644
+ "grad_norm": 1.7881851196289062,
645
+ "learning_rate": 1.4247407032633445e-05,
646
+ "loss": 3.144,
647
+ "step": 2275
648
+ },
649
+ {
650
+ "epoch": 0.29091828990640023,
651
+ "grad_norm": 1.5622018575668335,
652
+ "learning_rate": 1.4184163926132053e-05,
653
+ "loss": 3.0161,
654
+ "step": 2300
655
+ },
656
+ {
657
+ "epoch": 0.29408044523146976,
658
+ "grad_norm": 1.1805533170700073,
659
+ "learning_rate": 1.4120920819630661e-05,
660
+ "loss": 3.3535,
661
+ "step": 2325
662
+ },
663
+ {
664
+ "epoch": 0.29724260055653934,
665
+ "grad_norm": 1.4643152952194214,
666
+ "learning_rate": 1.4057677713129269e-05,
667
+ "loss": 3.0817,
668
+ "step": 2350
669
+ },
670
+ {
671
+ "epoch": 0.3004047558816089,
672
+ "grad_norm": 1.640499234199524,
673
+ "learning_rate": 1.3994434606627877e-05,
674
+ "loss": 3.2889,
675
+ "step": 2375
676
+ },
677
+ {
678
+ "epoch": 0.30356691120667845,
679
+ "grad_norm": 1.4501370191574097,
680
+ "learning_rate": 1.3931191500126486e-05,
681
+ "loss": 3.0626,
682
+ "step": 2400
683
+ },
684
+ {
685
+ "epoch": 0.30672906653174803,
686
+ "grad_norm": 1.540034532546997,
687
+ "learning_rate": 1.3867948393625097e-05,
688
+ "loss": 3.1131,
689
+ "step": 2425
690
+ },
691
+ {
692
+ "epoch": 0.3098912218568176,
693
+ "grad_norm": 1.3436205387115479,
694
+ "learning_rate": 1.3804705287123705e-05,
695
+ "loss": 3.3248,
696
+ "step": 2450
697
+ },
698
+ {
699
+ "epoch": 0.3130533771818872,
700
+ "grad_norm": 1.8110958337783813,
701
+ "learning_rate": 1.3741462180622314e-05,
702
+ "loss": 3.2063,
703
+ "step": 2475
704
+ },
705
+ {
706
+ "epoch": 0.3162155325069567,
707
+ "grad_norm": 1.1593376398086548,
708
+ "learning_rate": 1.3678219074120922e-05,
709
+ "loss": 3.1707,
710
+ "step": 2500
711
+ },
712
+ {
713
+ "epoch": 0.3193776878320263,
714
+ "grad_norm": 1.2828359603881836,
715
+ "learning_rate": 1.361497596761953e-05,
716
+ "loss": 3.1273,
717
+ "step": 2525
718
+ },
719
+ {
720
+ "epoch": 0.3225398431570959,
721
+ "grad_norm": 1.4801135063171387,
722
+ "learning_rate": 1.3551732861118138e-05,
723
+ "loss": 3.1145,
724
+ "step": 2550
725
+ },
726
+ {
727
+ "epoch": 0.32570199848216547,
728
+ "grad_norm": 1.6385855674743652,
729
+ "learning_rate": 1.3488489754616746e-05,
730
+ "loss": 3.1274,
731
+ "step": 2575
732
+ },
733
+ {
734
+ "epoch": 0.328864153807235,
735
+ "grad_norm": 1.3759686946868896,
736
+ "learning_rate": 1.3425246648115358e-05,
737
+ "loss": 2.9515,
738
+ "step": 2600
739
+ },
740
+ {
741
+ "epoch": 0.3320263091323046,
742
+ "grad_norm": 1.3556058406829834,
743
+ "learning_rate": 1.3362003541613966e-05,
744
+ "loss": 3.1251,
745
+ "step": 2625
746
+ },
747
+ {
748
+ "epoch": 0.33518846445737416,
749
+ "grad_norm": 1.8028017282485962,
750
+ "learning_rate": 1.3298760435112574e-05,
751
+ "loss": 3.1851,
752
+ "step": 2650
753
+ },
754
+ {
755
+ "epoch": 0.33835061978244374,
756
+ "grad_norm": 1.3875707387924194,
757
+ "learning_rate": 1.3235517328611182e-05,
758
+ "loss": 3.1831,
759
+ "step": 2675
760
+ },
761
+ {
762
+ "epoch": 0.34151277510751327,
763
+ "grad_norm": 1.3739882707595825,
764
+ "learning_rate": 1.317227422210979e-05,
765
+ "loss": 2.944,
766
+ "step": 2700
767
+ },
768
+ {
769
+ "epoch": 0.34467493043258285,
770
+ "grad_norm": 1.7388805150985718,
771
+ "learning_rate": 1.3109031115608399e-05,
772
+ "loss": 2.9621,
773
+ "step": 2725
774
+ },
775
+ {
776
+ "epoch": 0.34783708575765243,
777
+ "grad_norm": 1.4218101501464844,
778
+ "learning_rate": 1.3045788009107007e-05,
779
+ "loss": 3.1734,
780
+ "step": 2750
781
+ },
782
+ {
783
+ "epoch": 0.35099924108272196,
784
+ "grad_norm": 1.5523903369903564,
785
+ "learning_rate": 1.2982544902605615e-05,
786
+ "loss": 3.1323,
787
+ "step": 2775
788
+ },
789
+ {
790
+ "epoch": 0.35416139640779154,
791
+ "grad_norm": 1.2134604454040527,
792
+ "learning_rate": 1.2919301796104227e-05,
793
+ "loss": 2.9738,
794
+ "step": 2800
795
+ },
796
+ {
797
+ "epoch": 0.3573235517328611,
798
+ "grad_norm": 1.7392768859863281,
799
+ "learning_rate": 1.2856058689602835e-05,
800
+ "loss": 3.2412,
801
+ "step": 2825
802
+ },
803
+ {
804
+ "epoch": 0.3604857070579307,
805
+ "grad_norm": 1.5656300783157349,
806
+ "learning_rate": 1.2792815583101443e-05,
807
+ "loss": 3.1549,
808
+ "step": 2850
809
+ },
810
+ {
811
+ "epoch": 0.36364786238300023,
812
+ "grad_norm": 1.592602014541626,
813
+ "learning_rate": 1.2729572476600051e-05,
814
+ "loss": 3.2068,
815
+ "step": 2875
816
+ },
817
+ {
818
+ "epoch": 0.3668100177080698,
819
+ "grad_norm": 1.6737302541732788,
820
+ "learning_rate": 1.266632937009866e-05,
821
+ "loss": 3.0918,
822
+ "step": 2900
823
+ },
824
+ {
825
+ "epoch": 0.3699721730331394,
826
+ "grad_norm": 1.4579912424087524,
827
+ "learning_rate": 1.2603086263597268e-05,
828
+ "loss": 3.17,
829
+ "step": 2925
830
+ },
831
+ {
832
+ "epoch": 0.373134328358209,
833
+ "grad_norm": 1.9524872303009033,
834
+ "learning_rate": 1.2539843157095876e-05,
835
+ "loss": 3.0157,
836
+ "step": 2950
837
+ },
838
+ {
839
+ "epoch": 0.3762964836832785,
840
+ "grad_norm": 1.5913100242614746,
841
+ "learning_rate": 1.2476600050594488e-05,
842
+ "loss": 2.9347,
843
+ "step": 2975
844
+ },
845
+ {
846
+ "epoch": 0.3794586390083481,
847
+ "grad_norm": 1.5421273708343506,
848
+ "learning_rate": 1.2413356944093096e-05,
849
+ "loss": 3.0643,
850
+ "step": 3000
851
+ },
852
+ {
853
+ "epoch": 0.38262079433341767,
854
+ "grad_norm": 1.4578076601028442,
855
+ "learning_rate": 1.2350113837591704e-05,
856
+ "loss": 3.1577,
857
+ "step": 3025
858
+ },
859
+ {
860
+ "epoch": 0.38578294965848725,
861
+ "grad_norm": 1.4034929275512695,
862
+ "learning_rate": 1.2286870731090312e-05,
863
+ "loss": 3.0522,
864
+ "step": 3050
865
+ },
866
+ {
867
+ "epoch": 0.3889451049835568,
868
+ "grad_norm": 1.4334189891815186,
869
+ "learning_rate": 1.222362762458892e-05,
870
+ "loss": 3.0195,
871
+ "step": 3075
872
+ },
873
+ {
874
+ "epoch": 0.39210726030862636,
875
+ "grad_norm": 1.5584102869033813,
876
+ "learning_rate": 1.2160384518087529e-05,
877
+ "loss": 2.9582,
878
+ "step": 3100
879
+ },
880
+ {
881
+ "epoch": 0.39526941563369594,
882
+ "grad_norm": 1.4117885828018188,
883
+ "learning_rate": 1.2097141411586137e-05,
884
+ "loss": 3.1979,
885
+ "step": 3125
886
+ },
887
+ {
888
+ "epoch": 0.39843157095876547,
889
+ "grad_norm": 1.6135624647140503,
890
+ "learning_rate": 1.2033898305084745e-05,
891
+ "loss": 3.0185,
892
+ "step": 3150
893
+ },
894
+ {
895
+ "epoch": 0.40159372628383505,
896
+ "grad_norm": 1.9495983123779297,
897
+ "learning_rate": 1.1970655198583357e-05,
898
+ "loss": 3.1753,
899
+ "step": 3175
900
+ },
901
+ {
902
+ "epoch": 0.40475588160890463,
903
+ "grad_norm": 1.3732932806015015,
904
+ "learning_rate": 1.1907412092081965e-05,
905
+ "loss": 2.9982,
906
+ "step": 3200
907
+ },
908
+ {
909
+ "epoch": 0.4079180369339742,
910
+ "grad_norm": 1.6417973041534424,
911
+ "learning_rate": 1.1844168985580573e-05,
912
+ "loss": 2.9491,
913
+ "step": 3225
914
+ },
915
+ {
916
+ "epoch": 0.41108019225904374,
917
+ "grad_norm": 1.599778413772583,
918
+ "learning_rate": 1.1780925879079181e-05,
919
+ "loss": 2.9619,
920
+ "step": 3250
921
+ },
922
+ {
923
+ "epoch": 0.4142423475841133,
924
+ "grad_norm": 1.5678138732910156,
925
+ "learning_rate": 1.171768277257779e-05,
926
+ "loss": 3.1179,
927
+ "step": 3275
928
+ },
929
+ {
930
+ "epoch": 0.4174045029091829,
931
+ "grad_norm": 1.4923375844955444,
932
+ "learning_rate": 1.1654439666076398e-05,
933
+ "loss": 3.193,
934
+ "step": 3300
935
+ },
936
+ {
937
+ "epoch": 0.4205666582342525,
938
+ "grad_norm": 1.5655521154403687,
939
+ "learning_rate": 1.1591196559575006e-05,
940
+ "loss": 3.0813,
941
+ "step": 3325
942
+ },
943
+ {
944
+ "epoch": 0.423728813559322,
945
+ "grad_norm": 1.7306265830993652,
946
+ "learning_rate": 1.1527953453073617e-05,
947
+ "loss": 3.1584,
948
+ "step": 3350
949
+ },
950
+ {
951
+ "epoch": 0.4268909688843916,
952
+ "grad_norm": 1.4964895248413086,
953
+ "learning_rate": 1.1464710346572226e-05,
954
+ "loss": 2.9885,
955
+ "step": 3375
956
+ },
957
+ {
958
+ "epoch": 0.4300531242094612,
959
+ "grad_norm": 1.386781930923462,
960
+ "learning_rate": 1.1401467240070834e-05,
961
+ "loss": 2.7611,
962
+ "step": 3400
963
+ },
964
+ {
965
+ "epoch": 0.43321527953453076,
966
+ "grad_norm": 1.223809838294983,
967
+ "learning_rate": 1.1338224133569442e-05,
968
+ "loss": 2.9793,
969
+ "step": 3425
970
+ },
971
+ {
972
+ "epoch": 0.4363774348596003,
973
+ "grad_norm": 1.7949477434158325,
974
+ "learning_rate": 1.127498102706805e-05,
975
+ "loss": 3.1053,
976
+ "step": 3450
977
+ },
978
+ {
979
+ "epoch": 0.43953959018466987,
980
+ "grad_norm": 1.2614104747772217,
981
+ "learning_rate": 1.1211737920566658e-05,
982
+ "loss": 3.1497,
983
+ "step": 3475
984
+ },
985
+ {
986
+ "epoch": 0.44270174550973945,
987
+ "grad_norm": 1.4934375286102295,
988
+ "learning_rate": 1.1148494814065267e-05,
989
+ "loss": 3.2349,
990
+ "step": 3500
991
+ },
992
+ {
993
+ "epoch": 0.445863900834809,
994
+ "grad_norm": 1.692384958267212,
995
+ "learning_rate": 1.1085251707563875e-05,
996
+ "loss": 3.2143,
997
+ "step": 3525
998
+ },
999
+ {
1000
+ "epoch": 0.44902605615987856,
1001
+ "grad_norm": 1.430724024772644,
1002
+ "learning_rate": 1.1022008601062486e-05,
1003
+ "loss": 2.9926,
1004
+ "step": 3550
1005
+ },
1006
+ {
1007
+ "epoch": 0.45218821148494814,
1008
+ "grad_norm": 1.6542253494262695,
1009
+ "learning_rate": 1.0958765494561095e-05,
1010
+ "loss": 3.0877,
1011
+ "step": 3575
1012
+ },
1013
+ {
1014
+ "epoch": 0.4553503668100177,
1015
+ "grad_norm": 1.761777400970459,
1016
+ "learning_rate": 1.0895522388059703e-05,
1017
+ "loss": 3.1343,
1018
+ "step": 3600
1019
+ },
1020
+ {
1021
+ "epoch": 0.45851252213508725,
1022
+ "grad_norm": 1.3432550430297852,
1023
+ "learning_rate": 1.0832279281558311e-05,
1024
+ "loss": 2.9125,
1025
+ "step": 3625
1026
+ },
1027
+ {
1028
+ "epoch": 0.46167467746015683,
1029
+ "grad_norm": 1.6349095106124878,
1030
+ "learning_rate": 1.0769036175056919e-05,
1031
+ "loss": 3.0102,
1032
+ "step": 3650
1033
+ },
1034
+ {
1035
+ "epoch": 0.4648368327852264,
1036
+ "grad_norm": 1.5871011018753052,
1037
+ "learning_rate": 1.0705793068555527e-05,
1038
+ "loss": 2.8361,
1039
+ "step": 3675
1040
+ },
1041
+ {
1042
+ "epoch": 0.467998988110296,
1043
+ "grad_norm": 1.5581876039505005,
1044
+ "learning_rate": 1.0642549962054136e-05,
1045
+ "loss": 2.9176,
1046
+ "step": 3700
1047
+ },
1048
+ {
1049
+ "epoch": 0.4711611434353655,
1050
+ "grad_norm": 1.9018642902374268,
1051
+ "learning_rate": 1.0579306855552747e-05,
1052
+ "loss": 3.1236,
1053
+ "step": 3725
1054
+ },
1055
+ {
1056
+ "epoch": 0.4743232987604351,
1057
+ "grad_norm": 1.9724278450012207,
1058
+ "learning_rate": 1.0516063749051355e-05,
1059
+ "loss": 3.2517,
1060
+ "step": 3750
1061
+ },
1062
+ {
1063
+ "epoch": 0.4774854540855047,
1064
+ "grad_norm": 1.4184868335723877,
1065
+ "learning_rate": 1.0452820642549963e-05,
1066
+ "loss": 2.7384,
1067
+ "step": 3775
1068
+ },
1069
+ {
1070
+ "epoch": 0.4806476094105743,
1071
+ "grad_norm": 1.6251132488250732,
1072
+ "learning_rate": 1.0389577536048572e-05,
1073
+ "loss": 2.9232,
1074
+ "step": 3800
1075
+ },
1076
+ {
1077
+ "epoch": 0.4838097647356438,
1078
+ "grad_norm": 1.526455283164978,
1079
+ "learning_rate": 1.032633442954718e-05,
1080
+ "loss": 3.0109,
1081
+ "step": 3825
1082
+ },
1083
+ {
1084
+ "epoch": 0.4869719200607134,
1085
+ "grad_norm": 1.5482044219970703,
1086
+ "learning_rate": 1.0263091323045788e-05,
1087
+ "loss": 2.9056,
1088
+ "step": 3850
1089
+ },
1090
+ {
1091
+ "epoch": 0.49013407538578296,
1092
+ "grad_norm": 1.5261505842208862,
1093
+ "learning_rate": 1.0199848216544396e-05,
1094
+ "loss": 2.8749,
1095
+ "step": 3875
1096
+ },
1097
+ {
1098
+ "epoch": 0.4932962307108525,
1099
+ "grad_norm": 1.8025535345077515,
1100
+ "learning_rate": 1.0136605110043004e-05,
1101
+ "loss": 3.1128,
1102
+ "step": 3900
1103
+ },
1104
+ {
1105
+ "epoch": 0.4964583860359221,
1106
+ "grad_norm": 1.428043246269226,
1107
+ "learning_rate": 1.0073362003541616e-05,
1108
+ "loss": 3.0411,
1109
+ "step": 3925
1110
+ },
1111
+ {
1112
+ "epoch": 0.49962054136099165,
1113
+ "grad_norm": 1.3403562307357788,
1114
+ "learning_rate": 1.0010118897040224e-05,
1115
+ "loss": 2.9253,
1116
+ "step": 3950
1117
+ },
1118
+ {
1119
+ "epoch": 0.5027826966860612,
1120
+ "grad_norm": 1.6576727628707886,
1121
+ "learning_rate": 9.946875790538832e-06,
1122
+ "loss": 2.9877,
1123
+ "step": 3975
1124
+ },
1125
+ {
1126
+ "epoch": 0.5059448520111308,
1127
+ "grad_norm": 1.8511061668395996,
1128
+ "learning_rate": 9.88363268403744e-06,
1129
+ "loss": 2.919,
1130
+ "step": 4000
1131
+ },
1132
+ {
1133
+ "epoch": 0.5091070073362004,
1134
+ "grad_norm": 1.690691590309143,
1135
+ "learning_rate": 9.820389577536049e-06,
1136
+ "loss": 2.7579,
1137
+ "step": 4025
1138
+ },
1139
+ {
1140
+ "epoch": 0.5122691626612699,
1141
+ "grad_norm": 1.4383487701416016,
1142
+ "learning_rate": 9.757146471034657e-06,
1143
+ "loss": 2.8421,
1144
+ "step": 4050
1145
+ },
1146
+ {
1147
+ "epoch": 0.5154313179863395,
1148
+ "grad_norm": 1.5412685871124268,
1149
+ "learning_rate": 9.693903364533267e-06,
1150
+ "loss": 2.9609,
1151
+ "step": 4075
1152
+ },
1153
+ {
1154
+ "epoch": 0.518593473311409,
1155
+ "grad_norm": 1.7865098714828491,
1156
+ "learning_rate": 9.630660258031875e-06,
1157
+ "loss": 2.887,
1158
+ "step": 4100
1159
+ },
1160
+ {
1161
+ "epoch": 0.5217556286364786,
1162
+ "grad_norm": 1.4453928470611572,
1163
+ "learning_rate": 9.567417151530483e-06,
1164
+ "loss": 2.9248,
1165
+ "step": 4125
1166
+ },
1167
+ {
1168
+ "epoch": 0.5249177839615482,
1169
+ "grad_norm": 1.6136345863342285,
1170
+ "learning_rate": 9.504174045029093e-06,
1171
+ "loss": 3.1814,
1172
+ "step": 4150
1173
+ },
1174
+ {
1175
+ "epoch": 0.5280799392866178,
1176
+ "grad_norm": 1.3460476398468018,
1177
+ "learning_rate": 9.440930938527701e-06,
1178
+ "loss": 2.7766,
1179
+ "step": 4175
1180
+ },
1181
+ {
1182
+ "epoch": 0.5312420946116874,
1183
+ "grad_norm": 1.6284033060073853,
1184
+ "learning_rate": 9.37768783202631e-06,
1185
+ "loss": 2.9087,
1186
+ "step": 4200
1187
+ },
1188
+ {
1189
+ "epoch": 0.534404249936757,
1190
+ "grad_norm": 1.3353221416473389,
1191
+ "learning_rate": 9.314444725524918e-06,
1192
+ "loss": 2.9512,
1193
+ "step": 4225
1194
+ },
1195
+ {
1196
+ "epoch": 0.5375664052618264,
1197
+ "grad_norm": 1.9415779113769531,
1198
+ "learning_rate": 9.251201619023528e-06,
1199
+ "loss": 2.7603,
1200
+ "step": 4250
1201
+ },
1202
+ {
1203
+ "epoch": 0.540728560586896,
1204
+ "grad_norm": 1.6942236423492432,
1205
+ "learning_rate": 9.187958512522136e-06,
1206
+ "loss": 3.1245,
1207
+ "step": 4275
1208
+ },
1209
+ {
1210
+ "epoch": 0.5438907159119656,
1211
+ "grad_norm": 2.2894318103790283,
1212
+ "learning_rate": 9.124715406020744e-06,
1213
+ "loss": 2.9695,
1214
+ "step": 4300
1215
+ },
1216
+ {
1217
+ "epoch": 0.5470528712370352,
1218
+ "grad_norm": 1.1514796018600464,
1219
+ "learning_rate": 9.061472299519352e-06,
1220
+ "loss": 3.0047,
1221
+ "step": 4325
1222
+ },
1223
+ {
1224
+ "epoch": 0.5502150265621047,
1225
+ "grad_norm": 1.5051628351211548,
1226
+ "learning_rate": 8.998229193017962e-06,
1227
+ "loss": 3.1653,
1228
+ "step": 4350
1229
+ },
1230
+ {
1231
+ "epoch": 0.5533771818871743,
1232
+ "grad_norm": 1.4090489149093628,
1233
+ "learning_rate": 8.93498608651657e-06,
1234
+ "loss": 2.9528,
1235
+ "step": 4375
1236
+ },
1237
+ {
1238
+ "epoch": 0.5565393372122439,
1239
+ "grad_norm": 1.6863518953323364,
1240
+ "learning_rate": 8.871742980015179e-06,
1241
+ "loss": 2.8309,
1242
+ "step": 4400
1243
+ },
1244
+ {
1245
+ "epoch": 0.5597014925373134,
1246
+ "grad_norm": 1.453518271446228,
1247
+ "learning_rate": 8.808499873513787e-06,
1248
+ "loss": 2.8803,
1249
+ "step": 4425
1250
+ },
1251
+ {
1252
+ "epoch": 0.562863647862383,
1253
+ "grad_norm": 1.987695336341858,
1254
+ "learning_rate": 8.745256767012397e-06,
1255
+ "loss": 3.001,
1256
+ "step": 4450
1257
+ },
1258
+ {
1259
+ "epoch": 0.5660258031874525,
1260
+ "grad_norm": 1.3925899267196655,
1261
+ "learning_rate": 8.682013660511005e-06,
1262
+ "loss": 2.9407,
1263
+ "step": 4475
1264
+ },
1265
+ {
1266
+ "epoch": 0.5691879585125221,
1267
+ "grad_norm": 1.802440881729126,
1268
+ "learning_rate": 8.618770554009613e-06,
1269
+ "loss": 3.0096,
1270
+ "step": 4500
1271
+ },
1272
+ {
1273
+ "epoch": 0.5723501138375917,
1274
+ "grad_norm": 1.4417994022369385,
1275
+ "learning_rate": 8.555527447508223e-06,
1276
+ "loss": 2.976,
1277
+ "step": 4525
1278
+ },
1279
+ {
1280
+ "epoch": 0.5755122691626613,
1281
+ "grad_norm": 1.7502068281173706,
1282
+ "learning_rate": 8.492284341006831e-06,
1283
+ "loss": 2.8715,
1284
+ "step": 4550
1285
+ },
1286
+ {
1287
+ "epoch": 0.5786744244877309,
1288
+ "grad_norm": 1.7311025857925415,
1289
+ "learning_rate": 8.42904123450544e-06,
1290
+ "loss": 2.9176,
1291
+ "step": 4575
1292
+ },
1293
+ {
1294
+ "epoch": 0.5818365798128005,
1295
+ "grad_norm": 1.6848989725112915,
1296
+ "learning_rate": 8.365798128004048e-06,
1297
+ "loss": 2.9213,
1298
+ "step": 4600
1299
+ },
1300
+ {
1301
+ "epoch": 0.5849987351378699,
1302
+ "grad_norm": 1.4339770078659058,
1303
+ "learning_rate": 8.302555021502657e-06,
1304
+ "loss": 2.944,
1305
+ "step": 4625
1306
+ },
1307
+ {
1308
+ "epoch": 0.5881608904629395,
1309
+ "grad_norm": 1.4645488262176514,
1310
+ "learning_rate": 8.239311915001266e-06,
1311
+ "loss": 2.8865,
1312
+ "step": 4650
1313
+ },
1314
+ {
1315
+ "epoch": 0.5913230457880091,
1316
+ "grad_norm": 1.793530821800232,
1317
+ "learning_rate": 8.176068808499874e-06,
1318
+ "loss": 3.0749,
1319
+ "step": 4675
1320
+ },
1321
+ {
1322
+ "epoch": 0.5944852011130787,
1323
+ "grad_norm": 1.753974437713623,
1324
+ "learning_rate": 8.112825701998482e-06,
1325
+ "loss": 2.9768,
1326
+ "step": 4700
1327
+ },
1328
+ {
1329
+ "epoch": 0.5976473564381483,
1330
+ "grad_norm": 1.4546597003936768,
1331
+ "learning_rate": 8.049582595497092e-06,
1332
+ "loss": 2.8419,
1333
+ "step": 4725
1334
+ },
1335
+ {
1336
+ "epoch": 0.6008095117632178,
1337
+ "grad_norm": 2.1190099716186523,
1338
+ "learning_rate": 7.9863394889957e-06,
1339
+ "loss": 2.8468,
1340
+ "step": 4750
1341
+ },
1342
+ {
1343
+ "epoch": 0.6039716670882874,
1344
+ "grad_norm": 2.026573657989502,
1345
+ "learning_rate": 7.923096382494308e-06,
1346
+ "loss": 3.0328,
1347
+ "step": 4775
1348
+ },
1349
+ {
1350
+ "epoch": 0.6071338224133569,
1351
+ "grad_norm": 1.5188226699829102,
1352
+ "learning_rate": 7.859853275992917e-06,
1353
+ "loss": 2.7536,
1354
+ "step": 4800
1355
+ },
1356
+ {
1357
+ "epoch": 0.6102959777384265,
1358
+ "grad_norm": 1.9499627351760864,
1359
+ "learning_rate": 7.796610169491526e-06,
1360
+ "loss": 3.0033,
1361
+ "step": 4825
1362
+ },
1363
+ {
1364
+ "epoch": 0.6134581330634961,
1365
+ "grad_norm": 1.4692327976226807,
1366
+ "learning_rate": 7.733367062990135e-06,
1367
+ "loss": 2.9335,
1368
+ "step": 4850
1369
+ },
1370
+ {
1371
+ "epoch": 0.6166202883885656,
1372
+ "grad_norm": 1.4884922504425049,
1373
+ "learning_rate": 7.670123956488743e-06,
1374
+ "loss": 2.9247,
1375
+ "step": 4875
1376
+ },
1377
+ {
1378
+ "epoch": 0.6197824437136352,
1379
+ "grad_norm": 1.5420995950698853,
1380
+ "learning_rate": 7.606880849987353e-06,
1381
+ "loss": 2.9574,
1382
+ "step": 4900
1383
+ },
1384
+ {
1385
+ "epoch": 0.6229445990387048,
1386
+ "grad_norm": 1.8658238649368286,
1387
+ "learning_rate": 7.543637743485961e-06,
1388
+ "loss": 2.9001,
1389
+ "step": 4925
1390
+ },
1391
+ {
1392
+ "epoch": 0.6261067543637744,
1393
+ "grad_norm": 1.5181258916854858,
1394
+ "learning_rate": 7.480394636984569e-06,
1395
+ "loss": 2.7142,
1396
+ "step": 4950
1397
+ },
1398
+ {
1399
+ "epoch": 0.629268909688844,
1400
+ "grad_norm": 1.4289120435714722,
1401
+ "learning_rate": 7.417151530483177e-06,
1402
+ "loss": 3.0176,
1403
+ "step": 4975
1404
+ },
1405
+ {
1406
+ "epoch": 0.6324310650139134,
1407
+ "grad_norm": 1.7044678926467896,
1408
+ "learning_rate": 7.353908423981787e-06,
1409
+ "loss": 2.9688,
1410
+ "step": 5000
1411
+ },
1412
+ {
1413
+ "epoch": 0.635593220338983,
1414
+ "grad_norm": 1.2686058282852173,
1415
+ "learning_rate": 7.290665317480395e-06,
1416
+ "loss": 3.0132,
1417
+ "step": 5025
1418
+ },
1419
+ {
1420
+ "epoch": 0.6387553756640526,
1421
+ "grad_norm": 1.4413508176803589,
1422
+ "learning_rate": 7.2274222109790036e-06,
1423
+ "loss": 2.948,
1424
+ "step": 5050
1425
+ },
1426
+ {
1427
+ "epoch": 0.6419175309891222,
1428
+ "grad_norm": 1.5472356081008911,
1429
+ "learning_rate": 7.164179104477612e-06,
1430
+ "loss": 2.8153,
1431
+ "step": 5075
1432
+ },
1433
+ {
1434
+ "epoch": 0.6450796863141918,
1435
+ "grad_norm": 1.3920260667800903,
1436
+ "learning_rate": 7.100935997976222e-06,
1437
+ "loss": 2.9269,
1438
+ "step": 5100
1439
+ },
1440
+ {
1441
+ "epoch": 0.6482418416392614,
1442
+ "grad_norm": 1.8862273693084717,
1443
+ "learning_rate": 7.03769289147483e-06,
1444
+ "loss": 2.9641,
1445
+ "step": 5125
1446
+ },
1447
+ {
1448
+ "epoch": 0.6514039969643309,
1449
+ "grad_norm": 1.2860732078552246,
1450
+ "learning_rate": 6.974449784973438e-06,
1451
+ "loss": 2.9628,
1452
+ "step": 5150
1453
+ },
1454
+ {
1455
+ "epoch": 0.6545661522894004,
1456
+ "grad_norm": 1.6975411176681519,
1457
+ "learning_rate": 6.911206678472046e-06,
1458
+ "loss": 2.8478,
1459
+ "step": 5175
1460
+ },
1461
+ {
1462
+ "epoch": 0.65772830761447,
1463
+ "grad_norm": 1.577736258506775,
1464
+ "learning_rate": 6.847963571970656e-06,
1465
+ "loss": 2.8673,
1466
+ "step": 5200
1467
+ },
1468
+ {
1469
+ "epoch": 0.6608904629395396,
1470
+ "grad_norm": 1.5640876293182373,
1471
+ "learning_rate": 6.784720465469264e-06,
1472
+ "loss": 2.7907,
1473
+ "step": 5225
1474
+ },
1475
+ {
1476
+ "epoch": 0.6640526182646092,
1477
+ "grad_norm": 1.5373408794403076,
1478
+ "learning_rate": 6.7214773589678725e-06,
1479
+ "loss": 2.9308,
1480
+ "step": 5250
1481
+ },
1482
+ {
1483
+ "epoch": 0.6672147735896787,
1484
+ "grad_norm": 1.499895453453064,
1485
+ "learning_rate": 6.6582342524664824e-06,
1486
+ "loss": 2.8954,
1487
+ "step": 5275
1488
+ },
1489
+ {
1490
+ "epoch": 0.6703769289147483,
1491
+ "grad_norm": 1.7884222269058228,
1492
+ "learning_rate": 6.594991145965091e-06,
1493
+ "loss": 3.0374,
1494
+ "step": 5300
1495
+ },
1496
+ {
1497
+ "epoch": 0.6735390842398179,
1498
+ "grad_norm": 1.4689120054244995,
1499
+ "learning_rate": 6.531748039463699e-06,
1500
+ "loss": 2.7937,
1501
+ "step": 5325
1502
+ },
1503
+ {
1504
+ "epoch": 0.6767012395648875,
1505
+ "grad_norm": 1.2251571416854858,
1506
+ "learning_rate": 6.468504932962307e-06,
1507
+ "loss": 2.6993,
1508
+ "step": 5350
1509
+ },
1510
+ {
1511
+ "epoch": 0.679863394889957,
1512
+ "grad_norm": 1.6900901794433594,
1513
+ "learning_rate": 6.405261826460917e-06,
1514
+ "loss": 2.9683,
1515
+ "step": 5375
1516
+ },
1517
+ {
1518
+ "epoch": 0.6830255502150265,
1519
+ "grad_norm": 1.3138439655303955,
1520
+ "learning_rate": 6.342018719959525e-06,
1521
+ "loss": 2.9179,
1522
+ "step": 5400
1523
+ },
1524
+ {
1525
+ "epoch": 0.6861877055400961,
1526
+ "grad_norm": 1.3106989860534668,
1527
+ "learning_rate": 6.278775613458133e-06,
1528
+ "loss": 2.8901,
1529
+ "step": 5425
1530
+ },
1531
+ {
1532
+ "epoch": 0.6893498608651657,
1533
+ "grad_norm": 1.7244914770126343,
1534
+ "learning_rate": 6.2155325069567415e-06,
1535
+ "loss": 2.8481,
1536
+ "step": 5450
1537
+ },
1538
+ {
1539
+ "epoch": 0.6925120161902353,
1540
+ "grad_norm": 1.1945232152938843,
1541
+ "learning_rate": 6.152289400455351e-06,
1542
+ "loss": 2.8619,
1543
+ "step": 5475
1544
+ },
1545
+ {
1546
+ "epoch": 0.6956741715153049,
1547
+ "grad_norm": 1.3923369646072388,
1548
+ "learning_rate": 6.08904629395396e-06,
1549
+ "loss": 2.9955,
1550
+ "step": 5500
1551
+ },
1552
+ {
1553
+ "epoch": 0.6988363268403744,
1554
+ "grad_norm": 1.7948927879333496,
1555
+ "learning_rate": 6.025803187452568e-06,
1556
+ "loss": 3.0742,
1557
+ "step": 5525
1558
+ },
1559
+ {
1560
+ "epoch": 0.7019984821654439,
1561
+ "grad_norm": 1.4123344421386719,
1562
+ "learning_rate": 5.962560080951176e-06,
1563
+ "loss": 2.9499,
1564
+ "step": 5550
1565
+ },
1566
+ {
1567
+ "epoch": 0.7051606374905135,
1568
+ "grad_norm": 1.5082272291183472,
1569
+ "learning_rate": 5.899316974449786e-06,
1570
+ "loss": 3.0861,
1571
+ "step": 5575
1572
+ },
1573
+ {
1574
+ "epoch": 0.7083227928155831,
1575
+ "grad_norm": 1.6818978786468506,
1576
+ "learning_rate": 5.836073867948394e-06,
1577
+ "loss": 2.7944,
1578
+ "step": 5600
1579
+ },
1580
+ {
1581
+ "epoch": 0.7114849481406527,
1582
+ "grad_norm": 2.072303295135498,
1583
+ "learning_rate": 5.772830761447002e-06,
1584
+ "loss": 3.021,
1585
+ "step": 5625
1586
+ },
1587
+ {
1588
+ "epoch": 0.7146471034657222,
1589
+ "grad_norm": 1.2416434288024902,
1590
+ "learning_rate": 5.7095876549456105e-06,
1591
+ "loss": 2.7849,
1592
+ "step": 5650
1593
+ },
1594
+ {
1595
+ "epoch": 0.7178092587907918,
1596
+ "grad_norm": 1.6787675619125366,
1597
+ "learning_rate": 5.64634454844422e-06,
1598
+ "loss": 2.9102,
1599
+ "step": 5675
1600
+ },
1601
+ {
1602
+ "epoch": 0.7209714141158614,
1603
+ "grad_norm": 1.542455792427063,
1604
+ "learning_rate": 5.5831014419428286e-06,
1605
+ "loss": 2.8268,
1606
+ "step": 5700
1607
+ },
1608
+ {
1609
+ "epoch": 0.724133569440931,
1610
+ "grad_norm": 2.0236566066741943,
1611
+ "learning_rate": 5.519858335441437e-06,
1612
+ "loss": 2.8222,
1613
+ "step": 5725
1614
+ },
1615
+ {
1616
+ "epoch": 0.7272957247660005,
1617
+ "grad_norm": 1.5775691270828247,
1618
+ "learning_rate": 5.456615228940047e-06,
1619
+ "loss": 2.9778,
1620
+ "step": 5750
1621
+ },
1622
+ {
1623
+ "epoch": 0.73045788009107,
1624
+ "grad_norm": 1.792724847793579,
1625
+ "learning_rate": 5.393372122438655e-06,
1626
+ "loss": 2.9323,
1627
+ "step": 5775
1628
+ },
1629
+ {
1630
+ "epoch": 0.7336200354161396,
1631
+ "grad_norm": 1.5170587301254272,
1632
+ "learning_rate": 5.330129015937263e-06,
1633
+ "loss": 2.8671,
1634
+ "step": 5800
1635
+ },
1636
+ {
1637
+ "epoch": 0.7367821907412092,
1638
+ "grad_norm": 1.418395757675171,
1639
+ "learning_rate": 5.266885909435871e-06,
1640
+ "loss": 2.8153,
1641
+ "step": 5825
1642
+ },
1643
+ {
1644
+ "epoch": 0.7399443460662788,
1645
+ "grad_norm": 1.4458298683166504,
1646
+ "learning_rate": 5.203642802934481e-06,
1647
+ "loss": 2.9178,
1648
+ "step": 5850
1649
+ },
1650
+ {
1651
+ "epoch": 0.7431065013913484,
1652
+ "grad_norm": 1.6139628887176514,
1653
+ "learning_rate": 5.140399696433089e-06,
1654
+ "loss": 2.8857,
1655
+ "step": 5875
1656
+ },
1657
+ {
1658
+ "epoch": 0.746268656716418,
1659
+ "grad_norm": 1.1631035804748535,
1660
+ "learning_rate": 5.0771565899316975e-06,
1661
+ "loss": 2.9213,
1662
+ "step": 5900
1663
+ },
1664
+ {
1665
+ "epoch": 0.7494308120414874,
1666
+ "grad_norm": 1.5703893899917603,
1667
+ "learning_rate": 5.013913483430306e-06,
1668
+ "loss": 2.891,
1669
+ "step": 5925
1670
+ },
1671
+ {
1672
+ "epoch": 0.752592967366557,
1673
+ "grad_norm": 1.4471451044082642,
1674
+ "learning_rate": 4.950670376928915e-06,
1675
+ "loss": 2.8261,
1676
+ "step": 5950
1677
+ },
1678
+ {
1679
+ "epoch": 0.7557551226916266,
1680
+ "grad_norm": 1.6305294036865234,
1681
+ "learning_rate": 4.887427270427524e-06,
1682
+ "loss": 2.8918,
1683
+ "step": 5975
1684
+ },
1685
+ {
1686
+ "epoch": 0.7589172780166962,
1687
+ "grad_norm": 1.3186579942703247,
1688
+ "learning_rate": 4.824184163926132e-06,
1689
+ "loss": 2.9478,
1690
+ "step": 6000
1691
+ },
1692
+ {
1693
+ "epoch": 0.7620794333417658,
1694
+ "grad_norm": 1.4258198738098145,
1695
+ "learning_rate": 4.760941057424741e-06,
1696
+ "loss": 2.9313,
1697
+ "step": 6025
1698
+ },
1699
+ {
1700
+ "epoch": 0.7652415886668353,
1701
+ "grad_norm": 1.5036190748214722,
1702
+ "learning_rate": 4.69769795092335e-06,
1703
+ "loss": 2.9562,
1704
+ "step": 6050
1705
+ },
1706
+ {
1707
+ "epoch": 0.7684037439919049,
1708
+ "grad_norm": 1.7764675617218018,
1709
+ "learning_rate": 4.634454844421958e-06,
1710
+ "loss": 2.9396,
1711
+ "step": 6075
1712
+ },
1713
+ {
1714
+ "epoch": 0.7715658993169745,
1715
+ "grad_norm": 1.624964714050293,
1716
+ "learning_rate": 4.571211737920567e-06,
1717
+ "loss": 2.8789,
1718
+ "step": 6100
1719
+ },
1720
+ {
1721
+ "epoch": 0.774728054642044,
1722
+ "grad_norm": 1.1885554790496826,
1723
+ "learning_rate": 4.5079686314191755e-06,
1724
+ "loss": 2.9756,
1725
+ "step": 6125
1726
+ },
1727
+ {
1728
+ "epoch": 0.7778902099671136,
1729
+ "grad_norm": 1.752863883972168,
1730
+ "learning_rate": 4.444725524917785e-06,
1731
+ "loss": 2.7279,
1732
+ "step": 6150
1733
+ },
1734
+ {
1735
+ "epoch": 0.7810523652921831,
1736
+ "grad_norm": 1.4653725624084473,
1737
+ "learning_rate": 4.381482418416393e-06,
1738
+ "loss": 3.0123,
1739
+ "step": 6175
1740
+ },
1741
+ {
1742
+ "epoch": 0.7842145206172527,
1743
+ "grad_norm": 1.5357298851013184,
1744
+ "learning_rate": 4.318239311915002e-06,
1745
+ "loss": 2.7978,
1746
+ "step": 6200
1747
+ },
1748
+ {
1749
+ "epoch": 0.7873766759423223,
1750
+ "grad_norm": 1.4677993059158325,
1751
+ "learning_rate": 4.25499620541361e-06,
1752
+ "loss": 2.8016,
1753
+ "step": 6225
1754
+ },
1755
+ {
1756
+ "epoch": 0.7905388312673919,
1757
+ "grad_norm": 1.3810391426086426,
1758
+ "learning_rate": 4.191753098912219e-06,
1759
+ "loss": 2.7919,
1760
+ "step": 6250
1761
+ },
1762
+ {
1763
+ "epoch": 0.7937009865924615,
1764
+ "grad_norm": 1.827034831047058,
1765
+ "learning_rate": 4.128509992410827e-06,
1766
+ "loss": 2.9552,
1767
+ "step": 6275
1768
+ },
1769
+ {
1770
+ "epoch": 0.7968631419175309,
1771
+ "grad_norm": 1.7732640504837036,
1772
+ "learning_rate": 4.065266885909436e-06,
1773
+ "loss": 3.03,
1774
+ "step": 6300
1775
+ },
1776
+ {
1777
+ "epoch": 0.8000252972426005,
1778
+ "grad_norm": 2.2995574474334717,
1779
+ "learning_rate": 4.0020237794080445e-06,
1780
+ "loss": 3.027,
1781
+ "step": 6325
1782
+ },
1783
+ {
1784
+ "epoch": 0.8031874525676701,
1785
+ "grad_norm": 1.664284110069275,
1786
+ "learning_rate": 3.9387806729066536e-06,
1787
+ "loss": 2.9782,
1788
+ "step": 6350
1789
+ },
1790
+ {
1791
+ "epoch": 0.8063496078927397,
1792
+ "grad_norm": 1.7057468891143799,
1793
+ "learning_rate": 3.875537566405262e-06,
1794
+ "loss": 2.8451,
1795
+ "step": 6375
1796
+ },
1797
+ {
1798
+ "epoch": 0.8095117632178093,
1799
+ "grad_norm": 1.548420786857605,
1800
+ "learning_rate": 3.812294459903871e-06,
1801
+ "loss": 2.7688,
1802
+ "step": 6400
1803
+ },
1804
+ {
1805
+ "epoch": 0.8126739185428788,
1806
+ "grad_norm": 1.467391014099121,
1807
+ "learning_rate": 3.749051353402479e-06,
1808
+ "loss": 2.9415,
1809
+ "step": 6425
1810
+ },
1811
+ {
1812
+ "epoch": 0.8158360738679484,
1813
+ "grad_norm": 1.6299670934677124,
1814
+ "learning_rate": 3.685808246901088e-06,
1815
+ "loss": 2.9104,
1816
+ "step": 6450
1817
+ },
1818
+ {
1819
+ "epoch": 0.818998229193018,
1820
+ "grad_norm": 1.7904433012008667,
1821
+ "learning_rate": 3.622565140399697e-06,
1822
+ "loss": 2.8673,
1823
+ "step": 6475
1824
+ },
1825
+ {
1826
+ "epoch": 0.8221603845180875,
1827
+ "grad_norm": 1.5487452745437622,
1828
+ "learning_rate": 3.5593220338983053e-06,
1829
+ "loss": 2.991,
1830
+ "step": 6500
1831
+ },
1832
+ {
1833
+ "epoch": 0.8253225398431571,
1834
+ "grad_norm": 2.021498918533325,
1835
+ "learning_rate": 3.4960789273969143e-06,
1836
+ "loss": 2.9309,
1837
+ "step": 6525
1838
+ },
1839
+ {
1840
+ "epoch": 0.8284846951682266,
1841
+ "grad_norm": 1.6797212362289429,
1842
+ "learning_rate": 3.4328358208955225e-06,
1843
+ "loss": 2.7787,
1844
+ "step": 6550
1845
+ },
1846
+ {
1847
+ "epoch": 0.8316468504932962,
1848
+ "grad_norm": 1.5939486026763916,
1849
+ "learning_rate": 3.3695927143941316e-06,
1850
+ "loss": 2.8101,
1851
+ "step": 6575
1852
+ },
1853
+ {
1854
+ "epoch": 0.8348090058183658,
1855
+ "grad_norm": 1.506430983543396,
1856
+ "learning_rate": 3.3063496078927398e-06,
1857
+ "loss": 2.9788,
1858
+ "step": 6600
1859
+ },
1860
+ {
1861
+ "epoch": 0.8379711611434354,
1862
+ "grad_norm": 1.3282697200775146,
1863
+ "learning_rate": 3.243106501391349e-06,
1864
+ "loss": 2.8371,
1865
+ "step": 6625
1866
+ },
1867
+ {
1868
+ "epoch": 0.841133316468505,
1869
+ "grad_norm": 1.799822449684143,
1870
+ "learning_rate": 3.179863394889957e-06,
1871
+ "loss": 2.9774,
1872
+ "step": 6650
1873
+ },
1874
+ {
1875
+ "epoch": 0.8442954717935744,
1876
+ "grad_norm": 1.6544405221939087,
1877
+ "learning_rate": 3.116620288388566e-06,
1878
+ "loss": 2.8366,
1879
+ "step": 6675
1880
+ },
1881
+ {
1882
+ "epoch": 0.847457627118644,
1883
+ "grad_norm": 1.7522649765014648,
1884
+ "learning_rate": 3.0533771818871742e-06,
1885
+ "loss": 2.9712,
1886
+ "step": 6700
1887
+ },
1888
+ {
1889
+ "epoch": 0.8506197824437136,
1890
+ "grad_norm": 1.5311869382858276,
1891
+ "learning_rate": 2.9901340753857833e-06,
1892
+ "loss": 2.792,
1893
+ "step": 6725
1894
+ },
1895
+ {
1896
+ "epoch": 0.8537819377687832,
1897
+ "grad_norm": 1.1723778247833252,
1898
+ "learning_rate": 2.9268909688843915e-06,
1899
+ "loss": 2.9395,
1900
+ "step": 6750
1901
+ },
1902
+ {
1903
+ "epoch": 0.8569440930938528,
1904
+ "grad_norm": 1.9257378578186035,
1905
+ "learning_rate": 2.8636478623830005e-06,
1906
+ "loss": 2.9973,
1907
+ "step": 6775
1908
+ },
1909
+ {
1910
+ "epoch": 0.8601062484189224,
1911
+ "grad_norm": 1.4320708513259888,
1912
+ "learning_rate": 2.8004047558816087e-06,
1913
+ "loss": 2.739,
1914
+ "step": 6800
1915
+ },
1916
+ {
1917
+ "epoch": 0.8632684037439919,
1918
+ "grad_norm": 1.961350679397583,
1919
+ "learning_rate": 2.7371616493802178e-06,
1920
+ "loss": 3.0129,
1921
+ "step": 6825
1922
+ },
1923
+ {
1924
+ "epoch": 0.8664305590690615,
1925
+ "grad_norm": 1.7785652875900269,
1926
+ "learning_rate": 2.673918542878827e-06,
1927
+ "loss": 3.0007,
1928
+ "step": 6850
1929
+ },
1930
+ {
1931
+ "epoch": 0.869592714394131,
1932
+ "grad_norm": 1.5985599756240845,
1933
+ "learning_rate": 2.610675436377435e-06,
1934
+ "loss": 2.8996,
1935
+ "step": 6875
1936
+ },
1937
+ {
1938
+ "epoch": 0.8727548697192006,
1939
+ "grad_norm": 1.4986529350280762,
1940
+ "learning_rate": 2.547432329876044e-06,
1941
+ "loss": 2.917,
1942
+ "step": 6900
1943
+ },
1944
+ {
1945
+ "epoch": 0.8759170250442702,
1946
+ "grad_norm": 1.4311537742614746,
1947
+ "learning_rate": 2.4841892233746523e-06,
1948
+ "loss": 2.8844,
1949
+ "step": 6925
1950
+ },
1951
+ {
1952
+ "epoch": 0.8790791803693397,
1953
+ "grad_norm": 1.8189743757247925,
1954
+ "learning_rate": 2.420946116873261e-06,
1955
+ "loss": 2.9588,
1956
+ "step": 6950
1957
+ },
1958
+ {
1959
+ "epoch": 0.8822413356944093,
1960
+ "grad_norm": 1.1215569972991943,
1961
+ "learning_rate": 2.3577030103718695e-06,
1962
+ "loss": 2.8752,
1963
+ "step": 6975
1964
+ },
1965
+ {
1966
+ "epoch": 0.8854034910194789,
1967
+ "grad_norm": 1.4951814413070679,
1968
+ "learning_rate": 2.294459903870478e-06,
1969
+ "loss": 2.8954,
1970
+ "step": 7000
1971
+ },
1972
+ {
1973
+ "epoch": 0.8885656463445485,
1974
+ "grad_norm": 1.464539885520935,
1975
+ "learning_rate": 2.231216797369087e-06,
1976
+ "loss": 2.7321,
1977
+ "step": 7025
1978
+ },
1979
+ {
1980
+ "epoch": 0.891727801669618,
1981
+ "grad_norm": 1.4621193408966064,
1982
+ "learning_rate": 2.1679736908676958e-06,
1983
+ "loss": 2.8688,
1984
+ "step": 7050
1985
+ },
1986
+ {
1987
+ "epoch": 0.8948899569946875,
1988
+ "grad_norm": 1.6291460990905762,
1989
+ "learning_rate": 2.1047305843663044e-06,
1990
+ "loss": 2.8068,
1991
+ "step": 7075
1992
+ },
1993
+ {
1994
+ "epoch": 0.8980521123197571,
1995
+ "grad_norm": 1.4216442108154297,
1996
+ "learning_rate": 2.041487477864913e-06,
1997
+ "loss": 2.9351,
1998
+ "step": 7100
1999
+ },
2000
+ {
2001
+ "epoch": 0.9012142676448267,
2002
+ "grad_norm": 1.306211233139038,
2003
+ "learning_rate": 1.9782443713635216e-06,
2004
+ "loss": 2.9398,
2005
+ "step": 7125
2006
+ },
2007
+ {
2008
+ "epoch": 0.9043764229698963,
2009
+ "grad_norm": 1.6560629606246948,
2010
+ "learning_rate": 1.9150012648621303e-06,
2011
+ "loss": 2.9728,
2012
+ "step": 7150
2013
+ },
2014
+ {
2015
+ "epoch": 0.9075385782949659,
2016
+ "grad_norm": 1.9747501611709595,
2017
+ "learning_rate": 1.8517581583607389e-06,
2018
+ "loss": 2.903,
2019
+ "step": 7175
2020
+ },
2021
+ {
2022
+ "epoch": 0.9107007336200355,
2023
+ "grad_norm": 1.3126964569091797,
2024
+ "learning_rate": 1.7885150518593475e-06,
2025
+ "loss": 2.796,
2026
+ "step": 7200
2027
+ },
2028
+ {
2029
+ "epoch": 0.913862888945105,
2030
+ "grad_norm": 1.5026005506515503,
2031
+ "learning_rate": 1.7252719453579561e-06,
2032
+ "loss": 2.7565,
2033
+ "step": 7225
2034
+ },
2035
+ {
2036
+ "epoch": 0.9170250442701745,
2037
+ "grad_norm": 1.5117318630218506,
2038
+ "learning_rate": 1.6620288388565647e-06,
2039
+ "loss": 2.8329,
2040
+ "step": 7250
2041
+ },
2042
+ {
2043
+ "epoch": 0.9201871995952441,
2044
+ "grad_norm": 1.812044382095337,
2045
+ "learning_rate": 1.5987857323551734e-06,
2046
+ "loss": 2.9988,
2047
+ "step": 7275
2048
+ },
2049
+ {
2050
+ "epoch": 0.9233493549203137,
2051
+ "grad_norm": 1.25447678565979,
2052
+ "learning_rate": 1.535542625853782e-06,
2053
+ "loss": 2.9395,
2054
+ "step": 7300
2055
+ },
2056
+ {
2057
+ "epoch": 0.9265115102453833,
2058
+ "grad_norm": 1.6009807586669922,
2059
+ "learning_rate": 1.4722995193523906e-06,
2060
+ "loss": 2.8487,
2061
+ "step": 7325
2062
+ },
2063
+ {
2064
+ "epoch": 0.9296736655704528,
2065
+ "grad_norm": 2.0983338356018066,
2066
+ "learning_rate": 1.4090564128509992e-06,
2067
+ "loss": 2.841,
2068
+ "step": 7350
2069
+ },
2070
+ {
2071
+ "epoch": 0.9328358208955224,
2072
+ "grad_norm": 1.5755832195281982,
2073
+ "learning_rate": 1.3458133063496079e-06,
2074
+ "loss": 2.8646,
2075
+ "step": 7375
2076
+ },
2077
+ {
2078
+ "epoch": 0.935997976220592,
2079
+ "grad_norm": 1.4814996719360352,
2080
+ "learning_rate": 1.2825701998482165e-06,
2081
+ "loss": 3.0229,
2082
+ "step": 7400
2083
+ },
2084
+ {
2085
+ "epoch": 0.9391601315456615,
2086
+ "grad_norm": 1.687947392463684,
2087
+ "learning_rate": 1.2193270933468253e-06,
2088
+ "loss": 2.8668,
2089
+ "step": 7425
2090
+ },
2091
+ {
2092
+ "epoch": 0.942322286870731,
2093
+ "grad_norm": 1.557085394859314,
2094
+ "learning_rate": 1.156083986845434e-06,
2095
+ "loss": 2.9006,
2096
+ "step": 7450
2097
+ },
2098
+ {
2099
+ "epoch": 0.9454844421958006,
2100
+ "grad_norm": 1.4846750497817993,
2101
+ "learning_rate": 1.0928408803440425e-06,
2102
+ "loss": 2.9055,
2103
+ "step": 7475
2104
+ },
2105
+ {
2106
+ "epoch": 0.9486465975208702,
2107
+ "grad_norm": 2.095038652420044,
2108
+ "learning_rate": 1.0295977738426512e-06,
2109
+ "loss": 3.0127,
2110
+ "step": 7500
2111
+ },
2112
+ {
2113
+ "epoch": 0.9518087528459398,
2114
+ "grad_norm": 1.618682622909546,
2115
+ "learning_rate": 9.6635466734126e-07,
2116
+ "loss": 2.8352,
2117
+ "step": 7525
2118
+ },
2119
+ {
2120
+ "epoch": 0.9549709081710094,
2121
+ "grad_norm": 1.6419885158538818,
2122
+ "learning_rate": 9.031115608398685e-07,
2123
+ "loss": 2.9209,
2124
+ "step": 7550
2125
+ },
2126
+ {
2127
+ "epoch": 0.958133063496079,
2128
+ "grad_norm": 1.6612589359283447,
2129
+ "learning_rate": 8.398684543384771e-07,
2130
+ "loss": 2.8939,
2131
+ "step": 7575
2132
+ },
2133
+ {
2134
+ "epoch": 0.9612952188211485,
2135
+ "grad_norm": 1.4516048431396484,
2136
+ "learning_rate": 7.766253478370859e-07,
2137
+ "loss": 2.9458,
2138
+ "step": 7600
2139
+ },
2140
+ {
2141
+ "epoch": 0.964457374146218,
2142
+ "grad_norm": 1.864473581314087,
2143
+ "learning_rate": 7.133822413356945e-07,
2144
+ "loss": 2.958,
2145
+ "step": 7625
2146
+ },
2147
+ {
2148
+ "epoch": 0.9676195294712876,
2149
+ "grad_norm": 1.5845332145690918,
2150
+ "learning_rate": 6.501391348343031e-07,
2151
+ "loss": 2.8868,
2152
+ "step": 7650
2153
+ },
2154
+ {
2155
+ "epoch": 0.9707816847963572,
2156
+ "grad_norm": 1.4741908311843872,
2157
+ "learning_rate": 5.868960283329117e-07,
2158
+ "loss": 2.8258,
2159
+ "step": 7675
2160
+ },
2161
+ {
2162
+ "epoch": 0.9739438401214268,
2163
+ "grad_norm": 1.5956405401229858,
2164
+ "learning_rate": 5.236529218315205e-07,
2165
+ "loss": 2.8274,
2166
+ "step": 7700
2167
+ },
2168
+ {
2169
+ "epoch": 0.9771059954464963,
2170
+ "grad_norm": 1.5453468561172485,
2171
+ "learning_rate": 4.60409815330129e-07,
2172
+ "loss": 2.9071,
2173
+ "step": 7725
2174
+ },
2175
+ {
2176
+ "epoch": 0.9802681507715659,
2177
+ "grad_norm": 1.745120882987976,
2178
+ "learning_rate": 3.9716670882873775e-07,
2179
+ "loss": 3.0668,
2180
+ "step": 7750
2181
+ },
2182
+ {
2183
+ "epoch": 0.9834303060966355,
2184
+ "grad_norm": 1.3923741579055786,
2185
+ "learning_rate": 3.3392360232734637e-07,
2186
+ "loss": 3.0027,
2187
+ "step": 7775
2188
+ },
2189
+ {
2190
+ "epoch": 0.986592461421705,
2191
+ "grad_norm": 1.4872705936431885,
2192
+ "learning_rate": 2.70680495825955e-07,
2193
+ "loss": 2.9386,
2194
+ "step": 7800
2195
+ },
2196
+ {
2197
+ "epoch": 0.9897546167467746,
2198
+ "grad_norm": 2.8140368461608887,
2199
+ "learning_rate": 2.0743738932456364e-07,
2200
+ "loss": 2.7396,
2201
+ "step": 7825
2202
+ },
2203
+ {
2204
+ "epoch": 0.9929167720718441,
2205
+ "grad_norm": 1.2857846021652222,
2206
+ "learning_rate": 1.4419428282317229e-07,
2207
+ "loss": 2.8295,
2208
+ "step": 7850
2209
+ },
2210
+ {
2211
+ "epoch": 0.9960789273969137,
2212
+ "grad_norm": 1.593768835067749,
2213
+ "learning_rate": 8.095117632178092e-08,
2214
+ "loss": 3.0062,
2215
+ "step": 7875
2216
+ },
2217
+ {
2218
+ "epoch": 0.9992410827219833,
2219
+ "grad_norm": 1.3941960334777832,
2220
+ "learning_rate": 1.770806982038958e-08,
2221
+ "loss": 2.7836,
2222
+ "step": 7900
2223
+ }
2224
+ ],
2225
+ "logging_steps": 25,
2226
+ "max_steps": 7906,
2227
+ "num_input_tokens_seen": 0,
2228
+ "num_train_epochs": 1,
2229
+ "save_steps": 500,
2230
+ "stateful_callbacks": {
2231
+ "TrainerControl": {
2232
+ "args": {
2233
+ "should_epoch_stop": false,
2234
+ "should_evaluate": false,
2235
+ "should_log": false,
2236
+ "should_save": true,
2237
+ "should_training_stop": true
2238
+ },
2239
+ "attributes": {}
2240
+ }
2241
+ },
2242
+ "total_flos": 2103601100193792.0,
2243
+ "train_batch_size": 2,
2244
+ "trial_name": null,
2245
+ "trial_params": null
2246
+ }
checkpoint-7906/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72b581cd8e50466800ca90569133129aafadaef26c6c1972c6abcf6f033d31ec
3
+ size 5869
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_cross_attention": true,
3
+ "architectures": [
4
+ "BertLMHeadModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "dtype": "float32",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 384,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 1536,
15
+ "is_decoder": true,
16
+ "layer_norm_eps": 1e-12,
17
+ "max_position_embeddings": 512,
18
+ "model_type": "bert",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 6,
21
+ "pad_token_id": 0,
22
+ "position_embedding_type": "absolute",
23
+ "transformers_version": "4.57.1",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.57.1"
5
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a16e5f60ed44d8542a97a281d474481a19da2f9891decde86a56e18e6ae81b9
3
+ size 90990200
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "max_length": 128,
51
+ "model_max_length": 256,
52
+ "never_split": null,
53
+ "pad_to_multiple_of": null,
54
+ "pad_token": "[PAD]",
55
+ "pad_token_type_id": 0,
56
+ "padding_side": "right",
57
+ "sep_token": "[SEP]",
58
+ "stride": 0,
59
+ "strip_accents": null,
60
+ "tokenize_chinese_chars": true,
61
+ "tokenizer_class": "BertTokenizer",
62
+ "truncation_side": "right",
63
+ "truncation_strategy": "longest_first",
64
+ "unk_token": "[UNK]"
65
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff