Piro17 commited on
Commit
5102a8c
1 Parent(s): 865c7b6

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.7188003869719445,
4
+ "eval_f1": 0.718989971086903,
5
+ "eval_loss": 0.8270788192749023,
6
+ "eval_precision": 0.7219837313936599,
7
+ "eval_recall": 0.7188003869719445,
8
+ "eval_runtime": 138.4655,
9
+ "eval_samples_per_second": 22.395,
10
+ "eval_steps_per_second": 0.701,
11
+ "total_flos": 3.843964371168166e+19,
12
+ "train_loss": 0.8177650722031741,
13
+ "train_runtime": 43638.4535,
14
+ "train_samples_per_second": 11.367,
15
+ "train_steps_per_second": 0.089
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.7188003869719445,
4
+ "eval_f1": 0.718989971086903,
5
+ "eval_loss": 0.8270788192749023,
6
+ "eval_precision": 0.7219837313936599,
7
+ "eval_recall": 0.7188003869719445,
8
+ "eval_runtime": 138.4655,
9
+ "eval_samples_per_second": 22.395,
10
+ "eval_steps_per_second": 0.701
11
+ }
runs/Feb15_09-10-04_906ba4838a3d/events.out.tfevents.1676496099.906ba4838a3d.452.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:915588e1ae24d5506015f30b6571d3b7b91868ef23548b7e50665377fa8beddb
3
+ size 512
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "total_flos": 3.843964371168166e+19,
4
+ "train_loss": 0.8177650722031741,
5
+ "train_runtime": 43638.4535,
6
+ "train_samples_per_second": 11.367,
7
+ "train_steps_per_second": 0.089
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2593 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.718989971086903,
3
+ "best_model_checkpoint": "20E-affecthq/checkpoint-2716",
4
+ "epoch": 20.0,
5
+ "global_step": 3880,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 2.577319587628866e-07,
13
+ "loss": 2.0744,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.1,
18
+ "learning_rate": 5.154639175257732e-07,
19
+ "loss": 2.0746,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.15,
24
+ "learning_rate": 7.731958762886599e-07,
25
+ "loss": 2.0716,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.21,
30
+ "learning_rate": 1.0309278350515464e-06,
31
+ "loss": 2.0661,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.26,
36
+ "learning_rate": 1.288659793814433e-06,
37
+ "loss": 2.0648,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.31,
42
+ "learning_rate": 1.5463917525773197e-06,
43
+ "loss": 2.0612,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.36,
48
+ "learning_rate": 1.8041237113402063e-06,
49
+ "loss": 2.0582,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.41,
54
+ "learning_rate": 2.061855670103093e-06,
55
+ "loss": 2.0522,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.46,
60
+ "learning_rate": 2.3195876288659796e-06,
61
+ "loss": 2.0516,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.52,
66
+ "learning_rate": 2.577319587628866e-06,
67
+ "loss": 2.0432,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.57,
72
+ "learning_rate": 2.8350515463917527e-06,
73
+ "loss": 2.0425,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.62,
78
+ "learning_rate": 3.0927835051546395e-06,
79
+ "loss": 2.0368,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.67,
84
+ "learning_rate": 3.350515463917526e-06,
85
+ "loss": 2.0229,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.72,
90
+ "learning_rate": 3.6082474226804126e-06,
91
+ "loss": 2.0163,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.77,
96
+ "learning_rate": 3.865979381443299e-06,
97
+ "loss": 1.9999,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.82,
102
+ "learning_rate": 4.123711340206186e-06,
103
+ "loss": 1.9825,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.88,
108
+ "learning_rate": 4.381443298969073e-06,
109
+ "loss": 1.9702,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.93,
114
+ "learning_rate": 4.639175257731959e-06,
115
+ "loss": 1.9417,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.98,
120
+ "learning_rate": 4.8969072164948455e-06,
121
+ "loss": 1.9149,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 1.0,
126
+ "eval_accuracy": 0.37504030957755563,
127
+ "eval_f1": 0.30450075259542253,
128
+ "eval_loss": 1.8887449502944946,
129
+ "eval_precision": 0.34133971468533547,
130
+ "eval_recall": 0.37504030957755563,
131
+ "eval_runtime": 204.064,
132
+ "eval_samples_per_second": 15.196,
133
+ "eval_steps_per_second": 0.475,
134
+ "step": 194
135
+ },
136
+ {
137
+ "epoch": 1.03,
138
+ "learning_rate": 5.154639175257732e-06,
139
+ "loss": 1.8825,
140
+ "step": 200
141
+ },
142
+ {
143
+ "epoch": 1.08,
144
+ "learning_rate": 5.412371134020619e-06,
145
+ "loss": 1.8587,
146
+ "step": 210
147
+ },
148
+ {
149
+ "epoch": 1.13,
150
+ "learning_rate": 5.670103092783505e-06,
151
+ "loss": 1.7938,
152
+ "step": 220
153
+ },
154
+ {
155
+ "epoch": 1.19,
156
+ "learning_rate": 5.927835051546393e-06,
157
+ "loss": 1.7462,
158
+ "step": 230
159
+ },
160
+ {
161
+ "epoch": 1.24,
162
+ "learning_rate": 6.185567010309279e-06,
163
+ "loss": 1.6973,
164
+ "step": 240
165
+ },
166
+ {
167
+ "epoch": 1.29,
168
+ "learning_rate": 6.443298969072166e-06,
169
+ "loss": 1.6757,
170
+ "step": 250
171
+ },
172
+ {
173
+ "epoch": 1.34,
174
+ "learning_rate": 6.701030927835052e-06,
175
+ "loss": 1.6265,
176
+ "step": 260
177
+ },
178
+ {
179
+ "epoch": 1.39,
180
+ "learning_rate": 6.958762886597939e-06,
181
+ "loss": 1.5975,
182
+ "step": 270
183
+ },
184
+ {
185
+ "epoch": 1.44,
186
+ "learning_rate": 7.216494845360825e-06,
187
+ "loss": 1.5301,
188
+ "step": 280
189
+ },
190
+ {
191
+ "epoch": 1.49,
192
+ "learning_rate": 7.474226804123712e-06,
193
+ "loss": 1.5235,
194
+ "step": 290
195
+ },
196
+ {
197
+ "epoch": 1.55,
198
+ "learning_rate": 7.731958762886599e-06,
199
+ "loss": 1.4745,
200
+ "step": 300
201
+ },
202
+ {
203
+ "epoch": 1.6,
204
+ "learning_rate": 7.989690721649486e-06,
205
+ "loss": 1.4207,
206
+ "step": 310
207
+ },
208
+ {
209
+ "epoch": 1.65,
210
+ "learning_rate": 8.247422680412371e-06,
211
+ "loss": 1.4171,
212
+ "step": 320
213
+ },
214
+ {
215
+ "epoch": 1.7,
216
+ "learning_rate": 8.505154639175259e-06,
217
+ "loss": 1.419,
218
+ "step": 330
219
+ },
220
+ {
221
+ "epoch": 1.75,
222
+ "learning_rate": 8.762886597938146e-06,
223
+ "loss": 1.3424,
224
+ "step": 340
225
+ },
226
+ {
227
+ "epoch": 1.8,
228
+ "learning_rate": 9.020618556701031e-06,
229
+ "loss": 1.3403,
230
+ "step": 350
231
+ },
232
+ {
233
+ "epoch": 1.86,
234
+ "learning_rate": 9.278350515463918e-06,
235
+ "loss": 1.3536,
236
+ "step": 360
237
+ },
238
+ {
239
+ "epoch": 1.91,
240
+ "learning_rate": 9.536082474226806e-06,
241
+ "loss": 1.3036,
242
+ "step": 370
243
+ },
244
+ {
245
+ "epoch": 1.96,
246
+ "learning_rate": 9.793814432989691e-06,
247
+ "loss": 1.2903,
248
+ "step": 380
249
+ },
250
+ {
251
+ "epoch": 2.0,
252
+ "eval_accuracy": 0.5791680103192518,
253
+ "eval_f1": 0.5526365213062105,
254
+ "eval_loss": 1.2485474348068237,
255
+ "eval_precision": 0.5725810384525178,
256
+ "eval_recall": 0.5791680103192518,
257
+ "eval_runtime": 141.2499,
258
+ "eval_samples_per_second": 21.954,
259
+ "eval_steps_per_second": 0.687,
260
+ "step": 388
261
+ },
262
+ {
263
+ "epoch": 2.01,
264
+ "learning_rate": 9.994272623138604e-06,
265
+ "loss": 1.2612,
266
+ "step": 390
267
+ },
268
+ {
269
+ "epoch": 2.06,
270
+ "learning_rate": 9.965635738831616e-06,
271
+ "loss": 1.2295,
272
+ "step": 400
273
+ },
274
+ {
275
+ "epoch": 2.11,
276
+ "learning_rate": 9.93699885452463e-06,
277
+ "loss": 1.2367,
278
+ "step": 410
279
+ },
280
+ {
281
+ "epoch": 2.16,
282
+ "learning_rate": 9.908361970217641e-06,
283
+ "loss": 1.2015,
284
+ "step": 420
285
+ },
286
+ {
287
+ "epoch": 2.22,
288
+ "learning_rate": 9.879725085910653e-06,
289
+ "loss": 1.1918,
290
+ "step": 430
291
+ },
292
+ {
293
+ "epoch": 2.27,
294
+ "learning_rate": 9.851088201603667e-06,
295
+ "loss": 1.2132,
296
+ "step": 440
297
+ },
298
+ {
299
+ "epoch": 2.32,
300
+ "learning_rate": 9.822451317296679e-06,
301
+ "loss": 1.1727,
302
+ "step": 450
303
+ },
304
+ {
305
+ "epoch": 2.37,
306
+ "learning_rate": 9.793814432989691e-06,
307
+ "loss": 1.1598,
308
+ "step": 460
309
+ },
310
+ {
311
+ "epoch": 2.42,
312
+ "learning_rate": 9.765177548682703e-06,
313
+ "loss": 1.137,
314
+ "step": 470
315
+ },
316
+ {
317
+ "epoch": 2.47,
318
+ "learning_rate": 9.736540664375717e-06,
319
+ "loss": 1.167,
320
+ "step": 480
321
+ },
322
+ {
323
+ "epoch": 2.53,
324
+ "learning_rate": 9.707903780068729e-06,
325
+ "loss": 1.1318,
326
+ "step": 490
327
+ },
328
+ {
329
+ "epoch": 2.58,
330
+ "learning_rate": 9.679266895761742e-06,
331
+ "loss": 1.1026,
332
+ "step": 500
333
+ },
334
+ {
335
+ "epoch": 2.63,
336
+ "learning_rate": 9.650630011454754e-06,
337
+ "loss": 1.1069,
338
+ "step": 510
339
+ },
340
+ {
341
+ "epoch": 2.68,
342
+ "learning_rate": 9.621993127147768e-06,
343
+ "loss": 1.0721,
344
+ "step": 520
345
+ },
346
+ {
347
+ "epoch": 2.73,
348
+ "learning_rate": 9.59335624284078e-06,
349
+ "loss": 1.0903,
350
+ "step": 530
351
+ },
352
+ {
353
+ "epoch": 2.78,
354
+ "learning_rate": 9.564719358533792e-06,
355
+ "loss": 1.0951,
356
+ "step": 540
357
+ },
358
+ {
359
+ "epoch": 2.84,
360
+ "learning_rate": 9.536082474226806e-06,
361
+ "loss": 1.1402,
362
+ "step": 550
363
+ },
364
+ {
365
+ "epoch": 2.89,
366
+ "learning_rate": 9.507445589919818e-06,
367
+ "loss": 1.1012,
368
+ "step": 560
369
+ },
370
+ {
371
+ "epoch": 2.94,
372
+ "learning_rate": 9.47880870561283e-06,
373
+ "loss": 1.0767,
374
+ "step": 570
375
+ },
376
+ {
377
+ "epoch": 2.99,
378
+ "learning_rate": 9.450171821305843e-06,
379
+ "loss": 1.071,
380
+ "step": 580
381
+ },
382
+ {
383
+ "epoch": 3.0,
384
+ "eval_accuracy": 0.6320541760722348,
385
+ "eval_f1": 0.6228282492696803,
386
+ "eval_loss": 1.0587016344070435,
387
+ "eval_precision": 0.6258393540507952,
388
+ "eval_recall": 0.6320541760722348,
389
+ "eval_runtime": 156.4705,
390
+ "eval_samples_per_second": 19.818,
391
+ "eval_steps_per_second": 0.62,
392
+ "step": 582
393
+ },
394
+ {
395
+ "epoch": 3.04,
396
+ "learning_rate": 9.421534936998855e-06,
397
+ "loss": 1.0438,
398
+ "step": 590
399
+ },
400
+ {
401
+ "epoch": 3.09,
402
+ "learning_rate": 9.392898052691867e-06,
403
+ "loss": 1.0081,
404
+ "step": 600
405
+ },
406
+ {
407
+ "epoch": 3.14,
408
+ "learning_rate": 9.36426116838488e-06,
409
+ "loss": 1.0547,
410
+ "step": 610
411
+ },
412
+ {
413
+ "epoch": 3.2,
414
+ "learning_rate": 9.335624284077893e-06,
415
+ "loss": 1.0588,
416
+ "step": 620
417
+ },
418
+ {
419
+ "epoch": 3.25,
420
+ "learning_rate": 9.306987399770906e-06,
421
+ "loss": 1.0339,
422
+ "step": 630
423
+ },
424
+ {
425
+ "epoch": 3.3,
426
+ "learning_rate": 9.278350515463918e-06,
427
+ "loss": 1.0542,
428
+ "step": 640
429
+ },
430
+ {
431
+ "epoch": 3.35,
432
+ "learning_rate": 9.249713631156932e-06,
433
+ "loss": 1.0186,
434
+ "step": 650
435
+ },
436
+ {
437
+ "epoch": 3.4,
438
+ "learning_rate": 9.221076746849944e-06,
439
+ "loss": 0.9947,
440
+ "step": 660
441
+ },
442
+ {
443
+ "epoch": 3.45,
444
+ "learning_rate": 9.192439862542956e-06,
445
+ "loss": 1.0304,
446
+ "step": 670
447
+ },
448
+ {
449
+ "epoch": 3.51,
450
+ "learning_rate": 9.163802978235968e-06,
451
+ "loss": 0.9644,
452
+ "step": 680
453
+ },
454
+ {
455
+ "epoch": 3.56,
456
+ "learning_rate": 9.135166093928982e-06,
457
+ "loss": 1.0023,
458
+ "step": 690
459
+ },
460
+ {
461
+ "epoch": 3.61,
462
+ "learning_rate": 9.106529209621994e-06,
463
+ "loss": 0.9797,
464
+ "step": 700
465
+ },
466
+ {
467
+ "epoch": 3.66,
468
+ "learning_rate": 9.077892325315006e-06,
469
+ "loss": 0.9779,
470
+ "step": 710
471
+ },
472
+ {
473
+ "epoch": 3.71,
474
+ "learning_rate": 9.04925544100802e-06,
475
+ "loss": 1.0429,
476
+ "step": 720
477
+ },
478
+ {
479
+ "epoch": 3.76,
480
+ "learning_rate": 9.020618556701031e-06,
481
+ "loss": 0.9848,
482
+ "step": 730
483
+ },
484
+ {
485
+ "epoch": 3.81,
486
+ "learning_rate": 8.991981672394045e-06,
487
+ "loss": 0.9981,
488
+ "step": 740
489
+ },
490
+ {
491
+ "epoch": 3.87,
492
+ "learning_rate": 8.963344788087057e-06,
493
+ "loss": 0.9571,
494
+ "step": 750
495
+ },
496
+ {
497
+ "epoch": 3.92,
498
+ "learning_rate": 8.93470790378007e-06,
499
+ "loss": 0.9786,
500
+ "step": 760
501
+ },
502
+ {
503
+ "epoch": 3.97,
504
+ "learning_rate": 8.90607101947308e-06,
505
+ "loss": 1.0185,
506
+ "step": 770
507
+ },
508
+ {
509
+ "epoch": 4.0,
510
+ "eval_accuracy": 0.6617220251531764,
511
+ "eval_f1": 0.6552882607911024,
512
+ "eval_loss": 0.9817498326301575,
513
+ "eval_precision": 0.6583817535052932,
514
+ "eval_recall": 0.6617220251531764,
515
+ "eval_runtime": 140.4425,
516
+ "eval_samples_per_second": 22.08,
517
+ "eval_steps_per_second": 0.691,
518
+ "step": 776
519
+ },
520
+ {
521
+ "epoch": 4.02,
522
+ "learning_rate": 8.877434135166094e-06,
523
+ "loss": 0.955,
524
+ "step": 780
525
+ },
526
+ {
527
+ "epoch": 4.07,
528
+ "learning_rate": 8.848797250859106e-06,
529
+ "loss": 0.9995,
530
+ "step": 790
531
+ },
532
+ {
533
+ "epoch": 4.12,
534
+ "learning_rate": 8.82016036655212e-06,
535
+ "loss": 0.9615,
536
+ "step": 800
537
+ },
538
+ {
539
+ "epoch": 4.18,
540
+ "learning_rate": 8.791523482245132e-06,
541
+ "loss": 0.8775,
542
+ "step": 810
543
+ },
544
+ {
545
+ "epoch": 4.23,
546
+ "learning_rate": 8.762886597938146e-06,
547
+ "loss": 0.948,
548
+ "step": 820
549
+ },
550
+ {
551
+ "epoch": 4.28,
552
+ "learning_rate": 8.734249713631158e-06,
553
+ "loss": 0.9255,
554
+ "step": 830
555
+ },
556
+ {
557
+ "epoch": 4.33,
558
+ "learning_rate": 8.70561282932417e-06,
559
+ "loss": 0.9125,
560
+ "step": 840
561
+ },
562
+ {
563
+ "epoch": 4.38,
564
+ "learning_rate": 8.676975945017183e-06,
565
+ "loss": 0.9153,
566
+ "step": 850
567
+ },
568
+ {
569
+ "epoch": 4.43,
570
+ "learning_rate": 8.648339060710195e-06,
571
+ "loss": 0.9227,
572
+ "step": 860
573
+ },
574
+ {
575
+ "epoch": 4.48,
576
+ "learning_rate": 8.619702176403209e-06,
577
+ "loss": 0.945,
578
+ "step": 870
579
+ },
580
+ {
581
+ "epoch": 4.54,
582
+ "learning_rate": 8.591065292096221e-06,
583
+ "loss": 0.9121,
584
+ "step": 880
585
+ },
586
+ {
587
+ "epoch": 4.59,
588
+ "learning_rate": 8.562428407789233e-06,
589
+ "loss": 0.9311,
590
+ "step": 890
591
+ },
592
+ {
593
+ "epoch": 4.64,
594
+ "learning_rate": 8.533791523482245e-06,
595
+ "loss": 0.8944,
596
+ "step": 900
597
+ },
598
+ {
599
+ "epoch": 4.69,
600
+ "learning_rate": 8.505154639175259e-06,
601
+ "loss": 0.9093,
602
+ "step": 910
603
+ },
604
+ {
605
+ "epoch": 4.74,
606
+ "learning_rate": 8.47651775486827e-06,
607
+ "loss": 0.8956,
608
+ "step": 920
609
+ },
610
+ {
611
+ "epoch": 4.79,
612
+ "learning_rate": 8.447880870561284e-06,
613
+ "loss": 0.963,
614
+ "step": 930
615
+ },
616
+ {
617
+ "epoch": 4.85,
618
+ "learning_rate": 8.419243986254296e-06,
619
+ "loss": 0.9149,
620
+ "step": 940
621
+ },
622
+ {
623
+ "epoch": 4.9,
624
+ "learning_rate": 8.39060710194731e-06,
625
+ "loss": 0.909,
626
+ "step": 950
627
+ },
628
+ {
629
+ "epoch": 4.95,
630
+ "learning_rate": 8.361970217640322e-06,
631
+ "loss": 0.8628,
632
+ "step": 960
633
+ },
634
+ {
635
+ "epoch": 5.0,
636
+ "learning_rate": 8.333333333333334e-06,
637
+ "loss": 0.894,
638
+ "step": 970
639
+ },
640
+ {
641
+ "epoch": 5.0,
642
+ "eval_accuracy": 0.6868752015478877,
643
+ "eval_f1": 0.6820473818962892,
644
+ "eval_loss": 0.9292588829994202,
645
+ "eval_precision": 0.6872338048544774,
646
+ "eval_recall": 0.6868752015478877,
647
+ "eval_runtime": 140.2334,
648
+ "eval_samples_per_second": 22.113,
649
+ "eval_steps_per_second": 0.692,
650
+ "step": 970
651
+ },
652
+ {
653
+ "epoch": 5.05,
654
+ "learning_rate": 8.304696449026347e-06,
655
+ "loss": 0.8574,
656
+ "step": 980
657
+ },
658
+ {
659
+ "epoch": 5.1,
660
+ "learning_rate": 8.27605956471936e-06,
661
+ "loss": 0.8418,
662
+ "step": 990
663
+ },
664
+ {
665
+ "epoch": 5.15,
666
+ "learning_rate": 8.247422680412371e-06,
667
+ "loss": 0.8805,
668
+ "step": 1000
669
+ },
670
+ {
671
+ "epoch": 5.21,
672
+ "learning_rate": 8.218785796105383e-06,
673
+ "loss": 0.8624,
674
+ "step": 1010
675
+ },
676
+ {
677
+ "epoch": 5.26,
678
+ "learning_rate": 8.190148911798397e-06,
679
+ "loss": 0.8462,
680
+ "step": 1020
681
+ },
682
+ {
683
+ "epoch": 5.31,
684
+ "learning_rate": 8.161512027491409e-06,
685
+ "loss": 0.8716,
686
+ "step": 1030
687
+ },
688
+ {
689
+ "epoch": 5.36,
690
+ "learning_rate": 8.132875143184423e-06,
691
+ "loss": 0.8289,
692
+ "step": 1040
693
+ },
694
+ {
695
+ "epoch": 5.41,
696
+ "learning_rate": 8.104238258877435e-06,
697
+ "loss": 0.8918,
698
+ "step": 1050
699
+ },
700
+ {
701
+ "epoch": 5.46,
702
+ "learning_rate": 8.075601374570448e-06,
703
+ "loss": 0.8383,
704
+ "step": 1060
705
+ },
706
+ {
707
+ "epoch": 5.52,
708
+ "learning_rate": 8.04696449026346e-06,
709
+ "loss": 0.8729,
710
+ "step": 1070
711
+ },
712
+ {
713
+ "epoch": 5.57,
714
+ "learning_rate": 8.018327605956472e-06,
715
+ "loss": 0.8548,
716
+ "step": 1080
717
+ },
718
+ {
719
+ "epoch": 5.62,
720
+ "learning_rate": 7.989690721649486e-06,
721
+ "loss": 0.8519,
722
+ "step": 1090
723
+ },
724
+ {
725
+ "epoch": 5.67,
726
+ "learning_rate": 7.961053837342498e-06,
727
+ "loss": 0.869,
728
+ "step": 1100
729
+ },
730
+ {
731
+ "epoch": 5.72,
732
+ "learning_rate": 7.93241695303551e-06,
733
+ "loss": 0.8671,
734
+ "step": 1110
735
+ },
736
+ {
737
+ "epoch": 5.77,
738
+ "learning_rate": 7.903780068728523e-06,
739
+ "loss": 0.8645,
740
+ "step": 1120
741
+ },
742
+ {
743
+ "epoch": 5.82,
744
+ "learning_rate": 7.875143184421535e-06,
745
+ "loss": 0.8585,
746
+ "step": 1130
747
+ },
748
+ {
749
+ "epoch": 5.88,
750
+ "learning_rate": 7.846506300114547e-06,
751
+ "loss": 0.8622,
752
+ "step": 1140
753
+ },
754
+ {
755
+ "epoch": 5.93,
756
+ "learning_rate": 7.817869415807561e-06,
757
+ "loss": 0.8516,
758
+ "step": 1150
759
+ },
760
+ {
761
+ "epoch": 5.98,
762
+ "learning_rate": 7.789232531500573e-06,
763
+ "loss": 0.8283,
764
+ "step": 1160
765
+ },
766
+ {
767
+ "epoch": 6.0,
768
+ "eval_accuracy": 0.6936472105772331,
769
+ "eval_f1": 0.6905055219394208,
770
+ "eval_loss": 0.8881023526191711,
771
+ "eval_precision": 0.6928623941074218,
772
+ "eval_recall": 0.6936472105772331,
773
+ "eval_runtime": 139.4491,
774
+ "eval_samples_per_second": 22.238,
775
+ "eval_steps_per_second": 0.696,
776
+ "step": 1164
777
+ },
778
+ {
779
+ "epoch": 6.03,
780
+ "learning_rate": 7.760595647193587e-06,
781
+ "loss": 0.8177,
782
+ "step": 1170
783
+ },
784
+ {
785
+ "epoch": 6.08,
786
+ "learning_rate": 7.731958762886599e-06,
787
+ "loss": 0.8277,
788
+ "step": 1180
789
+ },
790
+ {
791
+ "epoch": 6.13,
792
+ "learning_rate": 7.703321878579612e-06,
793
+ "loss": 0.7713,
794
+ "step": 1190
795
+ },
796
+ {
797
+ "epoch": 6.19,
798
+ "learning_rate": 7.674684994272624e-06,
799
+ "loss": 0.8008,
800
+ "step": 1200
801
+ },
802
+ {
803
+ "epoch": 6.24,
804
+ "learning_rate": 7.646048109965636e-06,
805
+ "loss": 0.823,
806
+ "step": 1210
807
+ },
808
+ {
809
+ "epoch": 6.29,
810
+ "learning_rate": 7.617411225658648e-06,
811
+ "loss": 0.8256,
812
+ "step": 1220
813
+ },
814
+ {
815
+ "epoch": 6.34,
816
+ "learning_rate": 7.588774341351661e-06,
817
+ "loss": 0.8161,
818
+ "step": 1230
819
+ },
820
+ {
821
+ "epoch": 6.39,
822
+ "learning_rate": 7.560137457044674e-06,
823
+ "loss": 0.7932,
824
+ "step": 1240
825
+ },
826
+ {
827
+ "epoch": 6.44,
828
+ "learning_rate": 7.531500572737687e-06,
829
+ "loss": 0.829,
830
+ "step": 1250
831
+ },
832
+ {
833
+ "epoch": 6.49,
834
+ "learning_rate": 7.5028636884306995e-06,
835
+ "loss": 0.853,
836
+ "step": 1260
837
+ },
838
+ {
839
+ "epoch": 6.55,
840
+ "learning_rate": 7.474226804123712e-06,
841
+ "loss": 0.8209,
842
+ "step": 1270
843
+ },
844
+ {
845
+ "epoch": 6.6,
846
+ "learning_rate": 7.445589919816725e-06,
847
+ "loss": 0.8186,
848
+ "step": 1280
849
+ },
850
+ {
851
+ "epoch": 6.65,
852
+ "learning_rate": 7.416953035509737e-06,
853
+ "loss": 0.7944,
854
+ "step": 1290
855
+ },
856
+ {
857
+ "epoch": 6.7,
858
+ "learning_rate": 7.38831615120275e-06,
859
+ "loss": 0.7968,
860
+ "step": 1300
861
+ },
862
+ {
863
+ "epoch": 6.75,
864
+ "learning_rate": 7.359679266895763e-06,
865
+ "loss": 0.7907,
866
+ "step": 1310
867
+ },
868
+ {
869
+ "epoch": 6.8,
870
+ "learning_rate": 7.331042382588775e-06,
871
+ "loss": 0.7876,
872
+ "step": 1320
873
+ },
874
+ {
875
+ "epoch": 6.86,
876
+ "learning_rate": 7.3024054982817875e-06,
877
+ "loss": 0.8202,
878
+ "step": 1330
879
+ },
880
+ {
881
+ "epoch": 6.91,
882
+ "learning_rate": 7.2737686139747995e-06,
883
+ "loss": 0.7491,
884
+ "step": 1340
885
+ },
886
+ {
887
+ "epoch": 6.96,
888
+ "learning_rate": 7.245131729667812e-06,
889
+ "loss": 0.8185,
890
+ "step": 1350
891
+ },
892
+ {
893
+ "epoch": 7.0,
894
+ "eval_accuracy": 0.6981618832634634,
895
+ "eval_f1": 0.6987690565427545,
896
+ "eval_loss": 0.8659195303916931,
897
+ "eval_precision": 0.7011005120637903,
898
+ "eval_recall": 0.6981618832634634,
899
+ "eval_runtime": 137.6906,
900
+ "eval_samples_per_second": 22.522,
901
+ "eval_steps_per_second": 0.704,
902
+ "step": 1358
903
+ },
904
+ {
905
+ "epoch": 7.01,
906
+ "learning_rate": 7.216494845360825e-06,
907
+ "loss": 0.783,
908
+ "step": 1360
909
+ },
910
+ {
911
+ "epoch": 7.06,
912
+ "learning_rate": 7.187857961053838e-06,
913
+ "loss": 0.7655,
914
+ "step": 1370
915
+ },
916
+ {
917
+ "epoch": 7.11,
918
+ "learning_rate": 7.159221076746851e-06,
919
+ "loss": 0.7166,
920
+ "step": 1380
921
+ },
922
+ {
923
+ "epoch": 7.16,
924
+ "learning_rate": 7.130584192439864e-06,
925
+ "loss": 0.7497,
926
+ "step": 1390
927
+ },
928
+ {
929
+ "epoch": 7.22,
930
+ "learning_rate": 7.101947308132876e-06,
931
+ "loss": 0.7692,
932
+ "step": 1400
933
+ },
934
+ {
935
+ "epoch": 7.27,
936
+ "learning_rate": 7.073310423825888e-06,
937
+ "loss": 0.7567,
938
+ "step": 1410
939
+ },
940
+ {
941
+ "epoch": 7.32,
942
+ "learning_rate": 7.044673539518901e-06,
943
+ "loss": 0.8078,
944
+ "step": 1420
945
+ },
946
+ {
947
+ "epoch": 7.37,
948
+ "learning_rate": 7.016036655211913e-06,
949
+ "loss": 0.7567,
950
+ "step": 1430
951
+ },
952
+ {
953
+ "epoch": 7.42,
954
+ "learning_rate": 6.987399770904926e-06,
955
+ "loss": 0.7553,
956
+ "step": 1440
957
+ },
958
+ {
959
+ "epoch": 7.47,
960
+ "learning_rate": 6.958762886597939e-06,
961
+ "loss": 0.7315,
962
+ "step": 1450
963
+ },
964
+ {
965
+ "epoch": 7.53,
966
+ "learning_rate": 6.930126002290951e-06,
967
+ "loss": 0.7585,
968
+ "step": 1460
969
+ },
970
+ {
971
+ "epoch": 7.58,
972
+ "learning_rate": 6.901489117983964e-06,
973
+ "loss": 0.7772,
974
+ "step": 1470
975
+ },
976
+ {
977
+ "epoch": 7.63,
978
+ "learning_rate": 6.872852233676976e-06,
979
+ "loss": 0.7388,
980
+ "step": 1480
981
+ },
982
+ {
983
+ "epoch": 7.68,
984
+ "learning_rate": 6.844215349369989e-06,
985
+ "loss": 0.7477,
986
+ "step": 1490
987
+ },
988
+ {
989
+ "epoch": 7.73,
990
+ "learning_rate": 6.815578465063002e-06,
991
+ "loss": 0.7693,
992
+ "step": 1500
993
+ },
994
+ {
995
+ "epoch": 7.78,
996
+ "learning_rate": 6.786941580756015e-06,
997
+ "loss": 0.7444,
998
+ "step": 1510
999
+ },
1000
+ {
1001
+ "epoch": 7.84,
1002
+ "learning_rate": 6.758304696449028e-06,
1003
+ "loss": 0.8008,
1004
+ "step": 1520
1005
+ },
1006
+ {
1007
+ "epoch": 7.89,
1008
+ "learning_rate": 6.72966781214204e-06,
1009
+ "loss": 0.7655,
1010
+ "step": 1530
1011
+ },
1012
+ {
1013
+ "epoch": 7.94,
1014
+ "learning_rate": 6.701030927835052e-06,
1015
+ "loss": 0.8314,
1016
+ "step": 1540
1017
+ },
1018
+ {
1019
+ "epoch": 7.99,
1020
+ "learning_rate": 6.672394043528064e-06,
1021
+ "loss": 0.7499,
1022
+ "step": 1550
1023
+ },
1024
+ {
1025
+ "epoch": 8.0,
1026
+ "eval_accuracy": 0.7046114156723637,
1027
+ "eval_f1": 0.7021460447498534,
1028
+ "eval_loss": 0.8557855486869812,
1029
+ "eval_precision": 0.7050032399049077,
1030
+ "eval_recall": 0.7046114156723637,
1031
+ "eval_runtime": 138.2055,
1032
+ "eval_samples_per_second": 22.438,
1033
+ "eval_steps_per_second": 0.702,
1034
+ "step": 1552
1035
+ },
1036
+ {
1037
+ "epoch": 8.04,
1038
+ "learning_rate": 6.643757159221077e-06,
1039
+ "loss": 0.7519,
1040
+ "step": 1560
1041
+ },
1042
+ {
1043
+ "epoch": 8.09,
1044
+ "learning_rate": 6.61512027491409e-06,
1045
+ "loss": 0.719,
1046
+ "step": 1570
1047
+ },
1048
+ {
1049
+ "epoch": 8.14,
1050
+ "learning_rate": 6.586483390607102e-06,
1051
+ "loss": 0.7143,
1052
+ "step": 1580
1053
+ },
1054
+ {
1055
+ "epoch": 8.2,
1056
+ "learning_rate": 6.557846506300115e-06,
1057
+ "loss": 0.7502,
1058
+ "step": 1590
1059
+ },
1060
+ {
1061
+ "epoch": 8.25,
1062
+ "learning_rate": 6.529209621993128e-06,
1063
+ "loss": 0.753,
1064
+ "step": 1600
1065
+ },
1066
+ {
1067
+ "epoch": 8.3,
1068
+ "learning_rate": 6.5005727376861405e-06,
1069
+ "loss": 0.7136,
1070
+ "step": 1610
1071
+ },
1072
+ {
1073
+ "epoch": 8.35,
1074
+ "learning_rate": 6.471935853379153e-06,
1075
+ "loss": 0.7153,
1076
+ "step": 1620
1077
+ },
1078
+ {
1079
+ "epoch": 8.4,
1080
+ "learning_rate": 6.443298969072166e-06,
1081
+ "loss": 0.7353,
1082
+ "step": 1630
1083
+ },
1084
+ {
1085
+ "epoch": 8.45,
1086
+ "learning_rate": 6.414662084765179e-06,
1087
+ "loss": 0.7612,
1088
+ "step": 1640
1089
+ },
1090
+ {
1091
+ "epoch": 8.51,
1092
+ "learning_rate": 6.38602520045819e-06,
1093
+ "loss": 0.7023,
1094
+ "step": 1650
1095
+ },
1096
+ {
1097
+ "epoch": 8.56,
1098
+ "learning_rate": 6.357388316151203e-06,
1099
+ "loss": 0.7415,
1100
+ "step": 1660
1101
+ },
1102
+ {
1103
+ "epoch": 8.61,
1104
+ "learning_rate": 6.328751431844216e-06,
1105
+ "loss": 0.7073,
1106
+ "step": 1670
1107
+ },
1108
+ {
1109
+ "epoch": 8.66,
1110
+ "learning_rate": 6.3001145475372285e-06,
1111
+ "loss": 0.7085,
1112
+ "step": 1680
1113
+ },
1114
+ {
1115
+ "epoch": 8.71,
1116
+ "learning_rate": 6.271477663230241e-06,
1117
+ "loss": 0.7469,
1118
+ "step": 1690
1119
+ },
1120
+ {
1121
+ "epoch": 8.76,
1122
+ "learning_rate": 6.242840778923253e-06,
1123
+ "loss": 0.7371,
1124
+ "step": 1700
1125
+ },
1126
+ {
1127
+ "epoch": 8.81,
1128
+ "learning_rate": 6.214203894616266e-06,
1129
+ "loss": 0.7228,
1130
+ "step": 1710
1131
+ },
1132
+ {
1133
+ "epoch": 8.87,
1134
+ "learning_rate": 6.185567010309279e-06,
1135
+ "loss": 0.7249,
1136
+ "step": 1720
1137
+ },
1138
+ {
1139
+ "epoch": 8.92,
1140
+ "learning_rate": 6.156930126002292e-06,
1141
+ "loss": 0.7462,
1142
+ "step": 1730
1143
+ },
1144
+ {
1145
+ "epoch": 8.97,
1146
+ "learning_rate": 6.1282932416953046e-06,
1147
+ "loss": 0.7219,
1148
+ "step": 1740
1149
+ },
1150
+ {
1151
+ "epoch": 9.0,
1152
+ "eval_accuracy": 0.7123508545630441,
1153
+ "eval_f1": 0.7127491151695062,
1154
+ "eval_loss": 0.8398727774620056,
1155
+ "eval_precision": 0.7164935273335432,
1156
+ "eval_recall": 0.7123508545630441,
1157
+ "eval_runtime": 138.5399,
1158
+ "eval_samples_per_second": 22.383,
1159
+ "eval_steps_per_second": 0.7,
1160
+ "step": 1746
1161
+ },
1162
+ {
1163
+ "epoch": 9.02,
1164
+ "learning_rate": 6.099656357388317e-06,
1165
+ "loss": 0.7051,
1166
+ "step": 1750
1167
+ },
1168
+ {
1169
+ "epoch": 9.07,
1170
+ "learning_rate": 6.0710194730813285e-06,
1171
+ "loss": 0.7038,
1172
+ "step": 1760
1173
+ },
1174
+ {
1175
+ "epoch": 9.12,
1176
+ "learning_rate": 6.042382588774341e-06,
1177
+ "loss": 0.6517,
1178
+ "step": 1770
1179
+ },
1180
+ {
1181
+ "epoch": 9.18,
1182
+ "learning_rate": 6.013745704467354e-06,
1183
+ "loss": 0.7214,
1184
+ "step": 1780
1185
+ },
1186
+ {
1187
+ "epoch": 9.23,
1188
+ "learning_rate": 5.985108820160367e-06,
1189
+ "loss": 0.698,
1190
+ "step": 1790
1191
+ },
1192
+ {
1193
+ "epoch": 9.28,
1194
+ "learning_rate": 5.95647193585338e-06,
1195
+ "loss": 0.6854,
1196
+ "step": 1800
1197
+ },
1198
+ {
1199
+ "epoch": 9.33,
1200
+ "learning_rate": 5.927835051546393e-06,
1201
+ "loss": 0.7,
1202
+ "step": 1810
1203
+ },
1204
+ {
1205
+ "epoch": 9.38,
1206
+ "learning_rate": 5.8991981672394046e-06,
1207
+ "loss": 0.684,
1208
+ "step": 1820
1209
+ },
1210
+ {
1211
+ "epoch": 9.43,
1212
+ "learning_rate": 5.870561282932417e-06,
1213
+ "loss": 0.693,
1214
+ "step": 1830
1215
+ },
1216
+ {
1217
+ "epoch": 9.48,
1218
+ "learning_rate": 5.84192439862543e-06,
1219
+ "loss": 0.6796,
1220
+ "step": 1840
1221
+ },
1222
+ {
1223
+ "epoch": 9.54,
1224
+ "learning_rate": 5.813287514318443e-06,
1225
+ "loss": 0.7016,
1226
+ "step": 1850
1227
+ },
1228
+ {
1229
+ "epoch": 9.59,
1230
+ "learning_rate": 5.784650630011456e-06,
1231
+ "loss": 0.7032,
1232
+ "step": 1860
1233
+ },
1234
+ {
1235
+ "epoch": 9.64,
1236
+ "learning_rate": 5.756013745704467e-06,
1237
+ "loss": 0.7215,
1238
+ "step": 1870
1239
+ },
1240
+ {
1241
+ "epoch": 9.69,
1242
+ "learning_rate": 5.72737686139748e-06,
1243
+ "loss": 0.7012,
1244
+ "step": 1880
1245
+ },
1246
+ {
1247
+ "epoch": 9.74,
1248
+ "learning_rate": 5.698739977090493e-06,
1249
+ "loss": 0.68,
1250
+ "step": 1890
1251
+ },
1252
+ {
1253
+ "epoch": 9.79,
1254
+ "learning_rate": 5.670103092783505e-06,
1255
+ "loss": 0.6938,
1256
+ "step": 1900
1257
+ },
1258
+ {
1259
+ "epoch": 9.85,
1260
+ "learning_rate": 5.641466208476518e-06,
1261
+ "loss": 0.6876,
1262
+ "step": 1910
1263
+ },
1264
+ {
1265
+ "epoch": 9.9,
1266
+ "learning_rate": 5.612829324169531e-06,
1267
+ "loss": 0.7367,
1268
+ "step": 1920
1269
+ },
1270
+ {
1271
+ "epoch": 9.95,
1272
+ "learning_rate": 5.584192439862544e-06,
1273
+ "loss": 0.6787,
1274
+ "step": 1930
1275
+ },
1276
+ {
1277
+ "epoch": 10.0,
1278
+ "learning_rate": 5.555555555555557e-06,
1279
+ "loss": 0.7382,
1280
+ "step": 1940
1281
+ },
1282
+ {
1283
+ "epoch": 10.0,
1284
+ "eval_accuracy": 0.7158980973879394,
1285
+ "eval_f1": 0.7145145595526569,
1286
+ "eval_loss": 0.8300238251686096,
1287
+ "eval_precision": 0.7183831182263194,
1288
+ "eval_recall": 0.7158980973879394,
1289
+ "eval_runtime": 142.0327,
1290
+ "eval_samples_per_second": 21.833,
1291
+ "eval_steps_per_second": 0.683,
1292
+ "step": 1940
1293
+ },
1294
+ {
1295
+ "epoch": 10.05,
1296
+ "learning_rate": 5.526918671248569e-06,
1297
+ "loss": 0.6854,
1298
+ "step": 1950
1299
+ },
1300
+ {
1301
+ "epoch": 10.1,
1302
+ "learning_rate": 5.4982817869415815e-06,
1303
+ "loss": 0.7064,
1304
+ "step": 1960
1305
+ },
1306
+ {
1307
+ "epoch": 10.15,
1308
+ "learning_rate": 5.469644902634594e-06,
1309
+ "loss": 0.6548,
1310
+ "step": 1970
1311
+ },
1312
+ {
1313
+ "epoch": 10.21,
1314
+ "learning_rate": 5.441008018327606e-06,
1315
+ "loss": 0.6742,
1316
+ "step": 1980
1317
+ },
1318
+ {
1319
+ "epoch": 10.26,
1320
+ "learning_rate": 5.412371134020619e-06,
1321
+ "loss": 0.6549,
1322
+ "step": 1990
1323
+ },
1324
+ {
1325
+ "epoch": 10.31,
1326
+ "learning_rate": 5.383734249713631e-06,
1327
+ "loss": 0.6867,
1328
+ "step": 2000
1329
+ },
1330
+ {
1331
+ "epoch": 10.36,
1332
+ "learning_rate": 5.355097365406644e-06,
1333
+ "loss": 0.6595,
1334
+ "step": 2010
1335
+ },
1336
+ {
1337
+ "epoch": 10.41,
1338
+ "learning_rate": 5.326460481099657e-06,
1339
+ "loss": 0.6721,
1340
+ "step": 2020
1341
+ },
1342
+ {
1343
+ "epoch": 10.46,
1344
+ "learning_rate": 5.2978235967926695e-06,
1345
+ "loss": 0.6652,
1346
+ "step": 2030
1347
+ },
1348
+ {
1349
+ "epoch": 10.52,
1350
+ "learning_rate": 5.269186712485682e-06,
1351
+ "loss": 0.6689,
1352
+ "step": 2040
1353
+ },
1354
+ {
1355
+ "epoch": 10.57,
1356
+ "learning_rate": 5.240549828178695e-06,
1357
+ "loss": 0.6372,
1358
+ "step": 2050
1359
+ },
1360
+ {
1361
+ "epoch": 10.62,
1362
+ "learning_rate": 5.211912943871708e-06,
1363
+ "loss": 0.7036,
1364
+ "step": 2060
1365
+ },
1366
+ {
1367
+ "epoch": 10.67,
1368
+ "learning_rate": 5.18327605956472e-06,
1369
+ "loss": 0.6809,
1370
+ "step": 2070
1371
+ },
1372
+ {
1373
+ "epoch": 10.72,
1374
+ "learning_rate": 5.154639175257732e-06,
1375
+ "loss": 0.7015,
1376
+ "step": 2080
1377
+ },
1378
+ {
1379
+ "epoch": 10.77,
1380
+ "learning_rate": 5.126002290950745e-06,
1381
+ "loss": 0.6779,
1382
+ "step": 2090
1383
+ },
1384
+ {
1385
+ "epoch": 10.82,
1386
+ "learning_rate": 5.0973654066437575e-06,
1387
+ "loss": 0.6516,
1388
+ "step": 2100
1389
+ },
1390
+ {
1391
+ "epoch": 10.88,
1392
+ "learning_rate": 5.06872852233677e-06,
1393
+ "loss": 0.6445,
1394
+ "step": 2110
1395
+ },
1396
+ {
1397
+ "epoch": 10.93,
1398
+ "learning_rate": 5.040091638029782e-06,
1399
+ "loss": 0.6939,
1400
+ "step": 2120
1401
+ },
1402
+ {
1403
+ "epoch": 10.98,
1404
+ "learning_rate": 5.011454753722795e-06,
1405
+ "loss": 0.6392,
1406
+ "step": 2130
1407
+ },
1408
+ {
1409
+ "epoch": 11.0,
1410
+ "eval_accuracy": 0.708803611738149,
1411
+ "eval_f1": 0.7094972389297926,
1412
+ "eval_loss": 0.8328733444213867,
1413
+ "eval_precision": 0.7134851917714098,
1414
+ "eval_recall": 0.708803611738149,
1415
+ "eval_runtime": 136.2862,
1416
+ "eval_samples_per_second": 22.754,
1417
+ "eval_steps_per_second": 0.712,
1418
+ "step": 2134
1419
+ },
1420
+ {
1421
+ "epoch": 11.03,
1422
+ "learning_rate": 4.982817869415808e-06,
1423
+ "loss": 0.6682,
1424
+ "step": 2140
1425
+ },
1426
+ {
1427
+ "epoch": 11.08,
1428
+ "learning_rate": 4.954180985108821e-06,
1429
+ "loss": 0.6482,
1430
+ "step": 2150
1431
+ },
1432
+ {
1433
+ "epoch": 11.13,
1434
+ "learning_rate": 4.9255441008018336e-06,
1435
+ "loss": 0.6229,
1436
+ "step": 2160
1437
+ },
1438
+ {
1439
+ "epoch": 11.19,
1440
+ "learning_rate": 4.8969072164948455e-06,
1441
+ "loss": 0.6611,
1442
+ "step": 2170
1443
+ },
1444
+ {
1445
+ "epoch": 11.24,
1446
+ "learning_rate": 4.868270332187858e-06,
1447
+ "loss": 0.6164,
1448
+ "step": 2180
1449
+ },
1450
+ {
1451
+ "epoch": 11.29,
1452
+ "learning_rate": 4.839633447880871e-06,
1453
+ "loss": 0.6623,
1454
+ "step": 2190
1455
+ },
1456
+ {
1457
+ "epoch": 11.34,
1458
+ "learning_rate": 4.810996563573884e-06,
1459
+ "loss": 0.6415,
1460
+ "step": 2200
1461
+ },
1462
+ {
1463
+ "epoch": 11.39,
1464
+ "learning_rate": 4.782359679266896e-06,
1465
+ "loss": 0.6349,
1466
+ "step": 2210
1467
+ },
1468
+ {
1469
+ "epoch": 11.44,
1470
+ "learning_rate": 4.753722794959909e-06,
1471
+ "loss": 0.6506,
1472
+ "step": 2220
1473
+ },
1474
+ {
1475
+ "epoch": 11.49,
1476
+ "learning_rate": 4.725085910652922e-06,
1477
+ "loss": 0.6366,
1478
+ "step": 2230
1479
+ },
1480
+ {
1481
+ "epoch": 11.55,
1482
+ "learning_rate": 4.6964490263459336e-06,
1483
+ "loss": 0.6533,
1484
+ "step": 2240
1485
+ },
1486
+ {
1487
+ "epoch": 11.6,
1488
+ "learning_rate": 4.667812142038946e-06,
1489
+ "loss": 0.6704,
1490
+ "step": 2250
1491
+ },
1492
+ {
1493
+ "epoch": 11.65,
1494
+ "learning_rate": 4.639175257731959e-06,
1495
+ "loss": 0.6482,
1496
+ "step": 2260
1497
+ },
1498
+ {
1499
+ "epoch": 11.7,
1500
+ "learning_rate": 4.610538373424972e-06,
1501
+ "loss": 0.5899,
1502
+ "step": 2270
1503
+ },
1504
+ {
1505
+ "epoch": 11.75,
1506
+ "learning_rate": 4.581901489117984e-06,
1507
+ "loss": 0.6463,
1508
+ "step": 2280
1509
+ },
1510
+ {
1511
+ "epoch": 11.8,
1512
+ "learning_rate": 4.553264604810997e-06,
1513
+ "loss": 0.6575,
1514
+ "step": 2290
1515
+ },
1516
+ {
1517
+ "epoch": 11.86,
1518
+ "learning_rate": 4.52462772050401e-06,
1519
+ "loss": 0.6422,
1520
+ "step": 2300
1521
+ },
1522
+ {
1523
+ "epoch": 11.91,
1524
+ "learning_rate": 4.4959908361970224e-06,
1525
+ "loss": 0.6736,
1526
+ "step": 2310
1527
+ },
1528
+ {
1529
+ "epoch": 11.96,
1530
+ "learning_rate": 4.467353951890035e-06,
1531
+ "loss": 0.6549,
1532
+ "step": 2320
1533
+ },
1534
+ {
1535
+ "epoch": 12.0,
1536
+ "eval_accuracy": 0.7133182844243793,
1537
+ "eval_f1": 0.711971866511754,
1538
+ "eval_loss": 0.8296553492546082,
1539
+ "eval_precision": 0.7134785190322149,
1540
+ "eval_recall": 0.7133182844243793,
1541
+ "eval_runtime": 142.0833,
1542
+ "eval_samples_per_second": 21.825,
1543
+ "eval_steps_per_second": 0.683,
1544
+ "step": 2328
1545
+ },
1546
+ {
1547
+ "epoch": 12.01,
1548
+ "learning_rate": 4.438717067583047e-06,
1549
+ "loss": 0.5999,
1550
+ "step": 2330
1551
+ },
1552
+ {
1553
+ "epoch": 12.06,
1554
+ "learning_rate": 4.41008018327606e-06,
1555
+ "loss": 0.6216,
1556
+ "step": 2340
1557
+ },
1558
+ {
1559
+ "epoch": 12.11,
1560
+ "learning_rate": 4.381443298969073e-06,
1561
+ "loss": 0.6263,
1562
+ "step": 2350
1563
+ },
1564
+ {
1565
+ "epoch": 12.16,
1566
+ "learning_rate": 4.352806414662085e-06,
1567
+ "loss": 0.6119,
1568
+ "step": 2360
1569
+ },
1570
+ {
1571
+ "epoch": 12.22,
1572
+ "learning_rate": 4.324169530355098e-06,
1573
+ "loss": 0.6132,
1574
+ "step": 2370
1575
+ },
1576
+ {
1577
+ "epoch": 12.27,
1578
+ "learning_rate": 4.2955326460481105e-06,
1579
+ "loss": 0.6269,
1580
+ "step": 2380
1581
+ },
1582
+ {
1583
+ "epoch": 12.32,
1584
+ "learning_rate": 4.2668957617411224e-06,
1585
+ "loss": 0.6457,
1586
+ "step": 2390
1587
+ },
1588
+ {
1589
+ "epoch": 12.37,
1590
+ "learning_rate": 4.238258877434135e-06,
1591
+ "loss": 0.6278,
1592
+ "step": 2400
1593
+ },
1594
+ {
1595
+ "epoch": 12.42,
1596
+ "learning_rate": 4.209621993127148e-06,
1597
+ "loss": 0.6119,
1598
+ "step": 2410
1599
+ },
1600
+ {
1601
+ "epoch": 12.47,
1602
+ "learning_rate": 4.180985108820161e-06,
1603
+ "loss": 0.6198,
1604
+ "step": 2420
1605
+ },
1606
+ {
1607
+ "epoch": 12.53,
1608
+ "learning_rate": 4.152348224513174e-06,
1609
+ "loss": 0.6232,
1610
+ "step": 2430
1611
+ },
1612
+ {
1613
+ "epoch": 12.58,
1614
+ "learning_rate": 4.123711340206186e-06,
1615
+ "loss": 0.6215,
1616
+ "step": 2440
1617
+ },
1618
+ {
1619
+ "epoch": 12.63,
1620
+ "learning_rate": 4.0950744558991985e-06,
1621
+ "loss": 0.644,
1622
+ "step": 2450
1623
+ },
1624
+ {
1625
+ "epoch": 12.68,
1626
+ "learning_rate": 4.066437571592211e-06,
1627
+ "loss": 0.6071,
1628
+ "step": 2460
1629
+ },
1630
+ {
1631
+ "epoch": 12.73,
1632
+ "learning_rate": 4.037800687285224e-06,
1633
+ "loss": 0.6035,
1634
+ "step": 2470
1635
+ },
1636
+ {
1637
+ "epoch": 12.78,
1638
+ "learning_rate": 4.009163802978236e-06,
1639
+ "loss": 0.6482,
1640
+ "step": 2480
1641
+ },
1642
+ {
1643
+ "epoch": 12.84,
1644
+ "learning_rate": 3.980526918671249e-06,
1645
+ "loss": 0.6152,
1646
+ "step": 2490
1647
+ },
1648
+ {
1649
+ "epoch": 12.89,
1650
+ "learning_rate": 3.951890034364262e-06,
1651
+ "loss": 0.6212,
1652
+ "step": 2500
1653
+ },
1654
+ {
1655
+ "epoch": 12.94,
1656
+ "learning_rate": 3.923253150057274e-06,
1657
+ "loss": 0.6033,
1658
+ "step": 2510
1659
+ },
1660
+ {
1661
+ "epoch": 12.99,
1662
+ "learning_rate": 3.8946162657502865e-06,
1663
+ "loss": 0.6762,
1664
+ "step": 2520
1665
+ },
1666
+ {
1667
+ "epoch": 13.0,
1668
+ "eval_accuracy": 0.7155756207674944,
1669
+ "eval_f1": 0.7152962310825538,
1670
+ "eval_loss": 0.8179510235786438,
1671
+ "eval_precision": 0.7161790866733511,
1672
+ "eval_recall": 0.7155756207674944,
1673
+ "eval_runtime": 138.6525,
1674
+ "eval_samples_per_second": 22.365,
1675
+ "eval_steps_per_second": 0.7,
1676
+ "step": 2522
1677
+ },
1678
+ {
1679
+ "epoch": 13.04,
1680
+ "learning_rate": 3.865979381443299e-06,
1681
+ "loss": 0.5963,
1682
+ "step": 2530
1683
+ },
1684
+ {
1685
+ "epoch": 13.09,
1686
+ "learning_rate": 3.837342497136312e-06,
1687
+ "loss": 0.6163,
1688
+ "step": 2540
1689
+ },
1690
+ {
1691
+ "epoch": 13.14,
1692
+ "learning_rate": 3.808705612829324e-06,
1693
+ "loss": 0.6262,
1694
+ "step": 2550
1695
+ },
1696
+ {
1697
+ "epoch": 13.2,
1698
+ "learning_rate": 3.780068728522337e-06,
1699
+ "loss": 0.6166,
1700
+ "step": 2560
1701
+ },
1702
+ {
1703
+ "epoch": 13.25,
1704
+ "learning_rate": 3.7514318442153498e-06,
1705
+ "loss": 0.62,
1706
+ "step": 2570
1707
+ },
1708
+ {
1709
+ "epoch": 13.3,
1710
+ "learning_rate": 3.7227949599083626e-06,
1711
+ "loss": 0.5676,
1712
+ "step": 2580
1713
+ },
1714
+ {
1715
+ "epoch": 13.35,
1716
+ "learning_rate": 3.694158075601375e-06,
1717
+ "loss": 0.6093,
1718
+ "step": 2590
1719
+ },
1720
+ {
1721
+ "epoch": 13.4,
1722
+ "learning_rate": 3.6655211912943874e-06,
1723
+ "loss": 0.5997,
1724
+ "step": 2600
1725
+ },
1726
+ {
1727
+ "epoch": 13.45,
1728
+ "learning_rate": 3.6368843069873997e-06,
1729
+ "loss": 0.619,
1730
+ "step": 2610
1731
+ },
1732
+ {
1733
+ "epoch": 13.51,
1734
+ "learning_rate": 3.6082474226804126e-06,
1735
+ "loss": 0.6019,
1736
+ "step": 2620
1737
+ },
1738
+ {
1739
+ "epoch": 13.56,
1740
+ "learning_rate": 3.5796105383734254e-06,
1741
+ "loss": 0.6117,
1742
+ "step": 2630
1743
+ },
1744
+ {
1745
+ "epoch": 13.61,
1746
+ "learning_rate": 3.550973654066438e-06,
1747
+ "loss": 0.5879,
1748
+ "step": 2640
1749
+ },
1750
+ {
1751
+ "epoch": 13.66,
1752
+ "learning_rate": 3.5223367697594506e-06,
1753
+ "loss": 0.581,
1754
+ "step": 2650
1755
+ },
1756
+ {
1757
+ "epoch": 13.71,
1758
+ "learning_rate": 3.493699885452463e-06,
1759
+ "loss": 0.633,
1760
+ "step": 2660
1761
+ },
1762
+ {
1763
+ "epoch": 13.76,
1764
+ "learning_rate": 3.4650630011454754e-06,
1765
+ "loss": 0.6022,
1766
+ "step": 2670
1767
+ },
1768
+ {
1769
+ "epoch": 13.81,
1770
+ "learning_rate": 3.436426116838488e-06,
1771
+ "loss": 0.602,
1772
+ "step": 2680
1773
+ },
1774
+ {
1775
+ "epoch": 13.87,
1776
+ "learning_rate": 3.407789232531501e-06,
1777
+ "loss": 0.5738,
1778
+ "step": 2690
1779
+ },
1780
+ {
1781
+ "epoch": 13.92,
1782
+ "learning_rate": 3.379152348224514e-06,
1783
+ "loss": 0.6074,
1784
+ "step": 2700
1785
+ },
1786
+ {
1787
+ "epoch": 13.97,
1788
+ "learning_rate": 3.350515463917526e-06,
1789
+ "loss": 0.5937,
1790
+ "step": 2710
1791
+ },
1792
+ {
1793
+ "epoch": 14.0,
1794
+ "eval_accuracy": 0.7188003869719445,
1795
+ "eval_f1": 0.718989971086903,
1796
+ "eval_loss": 0.8270788192749023,
1797
+ "eval_precision": 0.7219837313936599,
1798
+ "eval_recall": 0.7188003869719445,
1799
+ "eval_runtime": 137.3251,
1800
+ "eval_samples_per_second": 22.581,
1801
+ "eval_steps_per_second": 0.706,
1802
+ "step": 2716
1803
+ },
1804
+ {
1805
+ "epoch": 14.02,
1806
+ "learning_rate": 3.3218785796105386e-06,
1807
+ "loss": 0.5785,
1808
+ "step": 2720
1809
+ },
1810
+ {
1811
+ "epoch": 14.07,
1812
+ "learning_rate": 3.293241695303551e-06,
1813
+ "loss": 0.5945,
1814
+ "step": 2730
1815
+ },
1816
+ {
1817
+ "epoch": 14.12,
1818
+ "learning_rate": 3.264604810996564e-06,
1819
+ "loss": 0.5927,
1820
+ "step": 2740
1821
+ },
1822
+ {
1823
+ "epoch": 14.18,
1824
+ "learning_rate": 3.2359679266895766e-06,
1825
+ "loss": 0.6038,
1826
+ "step": 2750
1827
+ },
1828
+ {
1829
+ "epoch": 14.23,
1830
+ "learning_rate": 3.2073310423825895e-06,
1831
+ "loss": 0.5904,
1832
+ "step": 2760
1833
+ },
1834
+ {
1835
+ "epoch": 14.28,
1836
+ "learning_rate": 3.1786941580756014e-06,
1837
+ "loss": 0.5885,
1838
+ "step": 2770
1839
+ },
1840
+ {
1841
+ "epoch": 14.33,
1842
+ "learning_rate": 3.1500572737686143e-06,
1843
+ "loss": 0.5421,
1844
+ "step": 2780
1845
+ },
1846
+ {
1847
+ "epoch": 14.38,
1848
+ "learning_rate": 3.1214203894616266e-06,
1849
+ "loss": 0.5882,
1850
+ "step": 2790
1851
+ },
1852
+ {
1853
+ "epoch": 14.43,
1854
+ "learning_rate": 3.0927835051546395e-06,
1855
+ "loss": 0.6144,
1856
+ "step": 2800
1857
+ },
1858
+ {
1859
+ "epoch": 14.48,
1860
+ "learning_rate": 3.0641466208476523e-06,
1861
+ "loss": 0.6108,
1862
+ "step": 2810
1863
+ },
1864
+ {
1865
+ "epoch": 14.54,
1866
+ "learning_rate": 3.0355097365406643e-06,
1867
+ "loss": 0.5852,
1868
+ "step": 2820
1869
+ },
1870
+ {
1871
+ "epoch": 14.59,
1872
+ "learning_rate": 3.006872852233677e-06,
1873
+ "loss": 0.5534,
1874
+ "step": 2830
1875
+ },
1876
+ {
1877
+ "epoch": 14.64,
1878
+ "learning_rate": 2.97823596792669e-06,
1879
+ "loss": 0.583,
1880
+ "step": 2840
1881
+ },
1882
+ {
1883
+ "epoch": 14.69,
1884
+ "learning_rate": 2.9495990836197023e-06,
1885
+ "loss": 0.5909,
1886
+ "step": 2850
1887
+ },
1888
+ {
1889
+ "epoch": 14.74,
1890
+ "learning_rate": 2.920962199312715e-06,
1891
+ "loss": 0.5972,
1892
+ "step": 2860
1893
+ },
1894
+ {
1895
+ "epoch": 14.79,
1896
+ "learning_rate": 2.892325315005728e-06,
1897
+ "loss": 0.5697,
1898
+ "step": 2870
1899
+ },
1900
+ {
1901
+ "epoch": 14.85,
1902
+ "learning_rate": 2.86368843069874e-06,
1903
+ "loss": 0.5914,
1904
+ "step": 2880
1905
+ },
1906
+ {
1907
+ "epoch": 14.9,
1908
+ "learning_rate": 2.8350515463917527e-06,
1909
+ "loss": 0.6051,
1910
+ "step": 2890
1911
+ },
1912
+ {
1913
+ "epoch": 14.95,
1914
+ "learning_rate": 2.8064146620847655e-06,
1915
+ "loss": 0.566,
1916
+ "step": 2900
1917
+ },
1918
+ {
1919
+ "epoch": 15.0,
1920
+ "learning_rate": 2.7777777777777783e-06,
1921
+ "loss": 0.569,
1922
+ "step": 2910
1923
+ },
1924
+ {
1925
+ "epoch": 15.0,
1926
+ "eval_accuracy": 0.7178329571106095,
1927
+ "eval_f1": 0.7165091349937845,
1928
+ "eval_loss": 0.8245362043380737,
1929
+ "eval_precision": 0.7174763240731499,
1930
+ "eval_recall": 0.7178329571106095,
1931
+ "eval_runtime": 137.9864,
1932
+ "eval_samples_per_second": 22.473,
1933
+ "eval_steps_per_second": 0.703,
1934
+ "step": 2910
1935
+ },
1936
+ {
1937
+ "epoch": 15.05,
1938
+ "learning_rate": 2.7491408934707907e-06,
1939
+ "loss": 0.5732,
1940
+ "step": 2920
1941
+ },
1942
+ {
1943
+ "epoch": 15.1,
1944
+ "learning_rate": 2.720504009163803e-06,
1945
+ "loss": 0.6155,
1946
+ "step": 2930
1947
+ },
1948
+ {
1949
+ "epoch": 15.15,
1950
+ "learning_rate": 2.6918671248568155e-06,
1951
+ "loss": 0.5725,
1952
+ "step": 2940
1953
+ },
1954
+ {
1955
+ "epoch": 15.21,
1956
+ "learning_rate": 2.6632302405498283e-06,
1957
+ "loss": 0.57,
1958
+ "step": 2950
1959
+ },
1960
+ {
1961
+ "epoch": 15.26,
1962
+ "learning_rate": 2.634593356242841e-06,
1963
+ "loss": 0.5978,
1964
+ "step": 2960
1965
+ },
1966
+ {
1967
+ "epoch": 15.31,
1968
+ "learning_rate": 2.605956471935854e-06,
1969
+ "loss": 0.5634,
1970
+ "step": 2970
1971
+ },
1972
+ {
1973
+ "epoch": 15.36,
1974
+ "learning_rate": 2.577319587628866e-06,
1975
+ "loss": 0.5842,
1976
+ "step": 2980
1977
+ },
1978
+ {
1979
+ "epoch": 15.41,
1980
+ "learning_rate": 2.5486827033218788e-06,
1981
+ "loss": 0.5699,
1982
+ "step": 2990
1983
+ },
1984
+ {
1985
+ "epoch": 15.46,
1986
+ "learning_rate": 2.520045819014891e-06,
1987
+ "loss": 0.576,
1988
+ "step": 3000
1989
+ },
1990
+ {
1991
+ "epoch": 15.52,
1992
+ "learning_rate": 2.491408934707904e-06,
1993
+ "loss": 0.5578,
1994
+ "step": 3010
1995
+ },
1996
+ {
1997
+ "epoch": 15.57,
1998
+ "learning_rate": 2.4627720504009168e-06,
1999
+ "loss": 0.5726,
2000
+ "step": 3020
2001
+ },
2002
+ {
2003
+ "epoch": 15.62,
2004
+ "learning_rate": 2.434135166093929e-06,
2005
+ "loss": 0.5669,
2006
+ "step": 3030
2007
+ },
2008
+ {
2009
+ "epoch": 15.67,
2010
+ "learning_rate": 2.405498281786942e-06,
2011
+ "loss": 0.5945,
2012
+ "step": 3040
2013
+ },
2014
+ {
2015
+ "epoch": 15.72,
2016
+ "learning_rate": 2.3768613974799544e-06,
2017
+ "loss": 0.5548,
2018
+ "step": 3050
2019
+ },
2020
+ {
2021
+ "epoch": 15.77,
2022
+ "learning_rate": 2.3482245131729668e-06,
2023
+ "loss": 0.5442,
2024
+ "step": 3060
2025
+ },
2026
+ {
2027
+ "epoch": 15.82,
2028
+ "learning_rate": 2.3195876288659796e-06,
2029
+ "loss": 0.5575,
2030
+ "step": 3070
2031
+ },
2032
+ {
2033
+ "epoch": 15.88,
2034
+ "learning_rate": 2.290950744558992e-06,
2035
+ "loss": 0.5429,
2036
+ "step": 3080
2037
+ },
2038
+ {
2039
+ "epoch": 15.93,
2040
+ "learning_rate": 2.262313860252005e-06,
2041
+ "loss": 0.5476,
2042
+ "step": 3090
2043
+ },
2044
+ {
2045
+ "epoch": 15.98,
2046
+ "learning_rate": 2.2336769759450176e-06,
2047
+ "loss": 0.5623,
2048
+ "step": 3100
2049
+ },
2050
+ {
2051
+ "epoch": 16.0,
2052
+ "eval_accuracy": 0.7165430506288294,
2053
+ "eval_f1": 0.7156652378724117,
2054
+ "eval_loss": 0.8228491544723511,
2055
+ "eval_precision": 0.7153021143244204,
2056
+ "eval_recall": 0.7165430506288294,
2057
+ "eval_runtime": 137.8917,
2058
+ "eval_samples_per_second": 22.489,
2059
+ "eval_steps_per_second": 0.703,
2060
+ "step": 3104
2061
+ },
2062
+ {
2063
+ "epoch": 16.03,
2064
+ "learning_rate": 2.20504009163803e-06,
2065
+ "loss": 0.5951,
2066
+ "step": 3110
2067
+ },
2068
+ {
2069
+ "epoch": 16.08,
2070
+ "learning_rate": 2.1764032073310424e-06,
2071
+ "loss": 0.5594,
2072
+ "step": 3120
2073
+ },
2074
+ {
2075
+ "epoch": 16.13,
2076
+ "learning_rate": 2.1477663230240552e-06,
2077
+ "loss": 0.6058,
2078
+ "step": 3130
2079
+ },
2080
+ {
2081
+ "epoch": 16.19,
2082
+ "learning_rate": 2.1191294387170676e-06,
2083
+ "loss": 0.5372,
2084
+ "step": 3140
2085
+ },
2086
+ {
2087
+ "epoch": 16.24,
2088
+ "learning_rate": 2.0904925544100804e-06,
2089
+ "loss": 0.566,
2090
+ "step": 3150
2091
+ },
2092
+ {
2093
+ "epoch": 16.29,
2094
+ "learning_rate": 2.061855670103093e-06,
2095
+ "loss": 0.5524,
2096
+ "step": 3160
2097
+ },
2098
+ {
2099
+ "epoch": 16.34,
2100
+ "learning_rate": 2.0332187857961057e-06,
2101
+ "loss": 0.527,
2102
+ "step": 3170
2103
+ },
2104
+ {
2105
+ "epoch": 16.39,
2106
+ "learning_rate": 2.004581901489118e-06,
2107
+ "loss": 0.5995,
2108
+ "step": 3180
2109
+ },
2110
+ {
2111
+ "epoch": 16.44,
2112
+ "learning_rate": 1.975945017182131e-06,
2113
+ "loss": 0.5271,
2114
+ "step": 3190
2115
+ },
2116
+ {
2117
+ "epoch": 16.49,
2118
+ "learning_rate": 1.9473081328751433e-06,
2119
+ "loss": 0.5892,
2120
+ "step": 3200
2121
+ },
2122
+ {
2123
+ "epoch": 16.55,
2124
+ "learning_rate": 1.918671248568156e-06,
2125
+ "loss": 0.5539,
2126
+ "step": 3210
2127
+ },
2128
+ {
2129
+ "epoch": 16.6,
2130
+ "learning_rate": 1.8900343642611685e-06,
2131
+ "loss": 0.551,
2132
+ "step": 3220
2133
+ },
2134
+ {
2135
+ "epoch": 16.65,
2136
+ "learning_rate": 1.8613974799541813e-06,
2137
+ "loss": 0.5638,
2138
+ "step": 3230
2139
+ },
2140
+ {
2141
+ "epoch": 16.7,
2142
+ "learning_rate": 1.8327605956471937e-06,
2143
+ "loss": 0.5533,
2144
+ "step": 3240
2145
+ },
2146
+ {
2147
+ "epoch": 16.75,
2148
+ "learning_rate": 1.8041237113402063e-06,
2149
+ "loss": 0.5886,
2150
+ "step": 3250
2151
+ },
2152
+ {
2153
+ "epoch": 16.8,
2154
+ "learning_rate": 1.775486827033219e-06,
2155
+ "loss": 0.5325,
2156
+ "step": 3260
2157
+ },
2158
+ {
2159
+ "epoch": 16.86,
2160
+ "learning_rate": 1.7468499427262315e-06,
2161
+ "loss": 0.5441,
2162
+ "step": 3270
2163
+ },
2164
+ {
2165
+ "epoch": 16.91,
2166
+ "learning_rate": 1.718213058419244e-06,
2167
+ "loss": 0.5422,
2168
+ "step": 3280
2169
+ },
2170
+ {
2171
+ "epoch": 16.96,
2172
+ "learning_rate": 1.689576174112257e-06,
2173
+ "loss": 0.5291,
2174
+ "step": 3290
2175
+ },
2176
+ {
2177
+ "epoch": 17.0,
2178
+ "eval_accuracy": 0.7162205740083843,
2179
+ "eval_f1": 0.7155771742857344,
2180
+ "eval_loss": 0.8238459825515747,
2181
+ "eval_precision": 0.7165407692005947,
2182
+ "eval_recall": 0.7162205740083843,
2183
+ "eval_runtime": 138.7789,
2184
+ "eval_samples_per_second": 22.345,
2185
+ "eval_steps_per_second": 0.699,
2186
+ "step": 3298
2187
+ },
2188
+ {
2189
+ "epoch": 17.01,
2190
+ "learning_rate": 1.6609392898052693e-06,
2191
+ "loss": 0.544,
2192
+ "step": 3300
2193
+ },
2194
+ {
2195
+ "epoch": 17.06,
2196
+ "learning_rate": 1.632302405498282e-06,
2197
+ "loss": 0.5365,
2198
+ "step": 3310
2199
+ },
2200
+ {
2201
+ "epoch": 17.11,
2202
+ "learning_rate": 1.6036655211912947e-06,
2203
+ "loss": 0.5507,
2204
+ "step": 3320
2205
+ },
2206
+ {
2207
+ "epoch": 17.16,
2208
+ "learning_rate": 1.5750286368843071e-06,
2209
+ "loss": 0.5537,
2210
+ "step": 3330
2211
+ },
2212
+ {
2213
+ "epoch": 17.22,
2214
+ "learning_rate": 1.5463917525773197e-06,
2215
+ "loss": 0.5241,
2216
+ "step": 3340
2217
+ },
2218
+ {
2219
+ "epoch": 17.27,
2220
+ "learning_rate": 1.5177548682703321e-06,
2221
+ "loss": 0.5106,
2222
+ "step": 3350
2223
+ },
2224
+ {
2225
+ "epoch": 17.32,
2226
+ "learning_rate": 1.489117983963345e-06,
2227
+ "loss": 0.5773,
2228
+ "step": 3360
2229
+ },
2230
+ {
2231
+ "epoch": 17.37,
2232
+ "learning_rate": 1.4604810996563575e-06,
2233
+ "loss": 0.5466,
2234
+ "step": 3370
2235
+ },
2236
+ {
2237
+ "epoch": 17.42,
2238
+ "learning_rate": 1.43184421534937e-06,
2239
+ "loss": 0.538,
2240
+ "step": 3380
2241
+ },
2242
+ {
2243
+ "epoch": 17.47,
2244
+ "learning_rate": 1.4032073310423828e-06,
2245
+ "loss": 0.5373,
2246
+ "step": 3390
2247
+ },
2248
+ {
2249
+ "epoch": 17.53,
2250
+ "learning_rate": 1.3745704467353954e-06,
2251
+ "loss": 0.5416,
2252
+ "step": 3400
2253
+ },
2254
+ {
2255
+ "epoch": 17.58,
2256
+ "learning_rate": 1.3459335624284078e-06,
2257
+ "loss": 0.5536,
2258
+ "step": 3410
2259
+ },
2260
+ {
2261
+ "epoch": 17.63,
2262
+ "learning_rate": 1.3172966781214206e-06,
2263
+ "loss": 0.5853,
2264
+ "step": 3420
2265
+ },
2266
+ {
2267
+ "epoch": 17.68,
2268
+ "learning_rate": 1.288659793814433e-06,
2269
+ "loss": 0.5522,
2270
+ "step": 3430
2271
+ },
2272
+ {
2273
+ "epoch": 17.73,
2274
+ "learning_rate": 1.2600229095074456e-06,
2275
+ "loss": 0.5318,
2276
+ "step": 3440
2277
+ },
2278
+ {
2279
+ "epoch": 17.78,
2280
+ "learning_rate": 1.2313860252004584e-06,
2281
+ "loss": 0.553,
2282
+ "step": 3450
2283
+ },
2284
+ {
2285
+ "epoch": 17.84,
2286
+ "learning_rate": 1.202749140893471e-06,
2287
+ "loss": 0.5386,
2288
+ "step": 3460
2289
+ },
2290
+ {
2291
+ "epoch": 17.89,
2292
+ "learning_rate": 1.1741122565864834e-06,
2293
+ "loss": 0.5333,
2294
+ "step": 3470
2295
+ },
2296
+ {
2297
+ "epoch": 17.94,
2298
+ "learning_rate": 1.145475372279496e-06,
2299
+ "loss": 0.568,
2300
+ "step": 3480
2301
+ },
2302
+ {
2303
+ "epoch": 17.99,
2304
+ "learning_rate": 1.1168384879725088e-06,
2305
+ "loss": 0.5775,
2306
+ "step": 3490
2307
+ },
2308
+ {
2309
+ "epoch": 18.0,
2310
+ "eval_accuracy": 0.7152531441470493,
2311
+ "eval_f1": 0.7151086078956284,
2312
+ "eval_loss": 0.8245630860328674,
2313
+ "eval_precision": 0.7161566827277972,
2314
+ "eval_recall": 0.7152531441470493,
2315
+ "eval_runtime": 137.143,
2316
+ "eval_samples_per_second": 22.611,
2317
+ "eval_steps_per_second": 0.707,
2318
+ "step": 3492
2319
+ },
2320
+ {
2321
+ "epoch": 18.04,
2322
+ "learning_rate": 1.0882016036655212e-06,
2323
+ "loss": 0.5582,
2324
+ "step": 3500
2325
+ },
2326
+ {
2327
+ "epoch": 18.09,
2328
+ "learning_rate": 1.0595647193585338e-06,
2329
+ "loss": 0.5404,
2330
+ "step": 3510
2331
+ },
2332
+ {
2333
+ "epoch": 18.14,
2334
+ "learning_rate": 1.0309278350515464e-06,
2335
+ "loss": 0.57,
2336
+ "step": 3520
2337
+ },
2338
+ {
2339
+ "epoch": 18.2,
2340
+ "learning_rate": 1.002290950744559e-06,
2341
+ "loss": 0.5514,
2342
+ "step": 3530
2343
+ },
2344
+ {
2345
+ "epoch": 18.25,
2346
+ "learning_rate": 9.736540664375716e-07,
2347
+ "loss": 0.48,
2348
+ "step": 3540
2349
+ },
2350
+ {
2351
+ "epoch": 18.3,
2352
+ "learning_rate": 9.450171821305842e-07,
2353
+ "loss": 0.4917,
2354
+ "step": 3550
2355
+ },
2356
+ {
2357
+ "epoch": 18.35,
2358
+ "learning_rate": 9.163802978235968e-07,
2359
+ "loss": 0.5253,
2360
+ "step": 3560
2361
+ },
2362
+ {
2363
+ "epoch": 18.4,
2364
+ "learning_rate": 8.877434135166096e-07,
2365
+ "loss": 0.5138,
2366
+ "step": 3570
2367
+ },
2368
+ {
2369
+ "epoch": 18.45,
2370
+ "learning_rate": 8.59106529209622e-07,
2371
+ "loss": 0.5686,
2372
+ "step": 3580
2373
+ },
2374
+ {
2375
+ "epoch": 18.51,
2376
+ "learning_rate": 8.304696449026347e-07,
2377
+ "loss": 0.5669,
2378
+ "step": 3590
2379
+ },
2380
+ {
2381
+ "epoch": 18.56,
2382
+ "learning_rate": 8.018327605956474e-07,
2383
+ "loss": 0.5286,
2384
+ "step": 3600
2385
+ },
2386
+ {
2387
+ "epoch": 18.61,
2388
+ "learning_rate": 7.731958762886599e-07,
2389
+ "loss": 0.5736,
2390
+ "step": 3610
2391
+ },
2392
+ {
2393
+ "epoch": 18.66,
2394
+ "learning_rate": 7.445589919816725e-07,
2395
+ "loss": 0.5202,
2396
+ "step": 3620
2397
+ },
2398
+ {
2399
+ "epoch": 18.71,
2400
+ "learning_rate": 7.15922107674685e-07,
2401
+ "loss": 0.5417,
2402
+ "step": 3630
2403
+ },
2404
+ {
2405
+ "epoch": 18.76,
2406
+ "learning_rate": 6.872852233676977e-07,
2407
+ "loss": 0.5409,
2408
+ "step": 3640
2409
+ },
2410
+ {
2411
+ "epoch": 18.81,
2412
+ "learning_rate": 6.586483390607103e-07,
2413
+ "loss": 0.5737,
2414
+ "step": 3650
2415
+ },
2416
+ {
2417
+ "epoch": 18.87,
2418
+ "learning_rate": 6.300114547537228e-07,
2419
+ "loss": 0.5383,
2420
+ "step": 3660
2421
+ },
2422
+ {
2423
+ "epoch": 18.92,
2424
+ "learning_rate": 6.013745704467355e-07,
2425
+ "loss": 0.5322,
2426
+ "step": 3670
2427
+ },
2428
+ {
2429
+ "epoch": 18.97,
2430
+ "learning_rate": 5.72737686139748e-07,
2431
+ "loss": 0.545,
2432
+ "step": 3680
2433
+ },
2434
+ {
2435
+ "epoch": 19.0,
2436
+ "eval_accuracy": 0.7178329571106095,
2437
+ "eval_f1": 0.7173917212076267,
2438
+ "eval_loss": 0.825716495513916,
2439
+ "eval_precision": 0.7191676309063934,
2440
+ "eval_recall": 0.7178329571106095,
2441
+ "eval_runtime": 137.8289,
2442
+ "eval_samples_per_second": 22.499,
2443
+ "eval_steps_per_second": 0.704,
2444
+ "step": 3686
2445
+ },
2446
+ {
2447
+ "epoch": 19.02,
2448
+ "learning_rate": 5.441008018327606e-07,
2449
+ "loss": 0.567,
2450
+ "step": 3690
2451
+ },
2452
+ {
2453
+ "epoch": 19.07,
2454
+ "learning_rate": 5.154639175257732e-07,
2455
+ "loss": 0.5309,
2456
+ "step": 3700
2457
+ },
2458
+ {
2459
+ "epoch": 19.12,
2460
+ "learning_rate": 4.868270332187858e-07,
2461
+ "loss": 0.548,
2462
+ "step": 3710
2463
+ },
2464
+ {
2465
+ "epoch": 19.18,
2466
+ "learning_rate": 4.581901489117984e-07,
2467
+ "loss": 0.5147,
2468
+ "step": 3720
2469
+ },
2470
+ {
2471
+ "epoch": 19.23,
2472
+ "learning_rate": 4.29553264604811e-07,
2473
+ "loss": 0.4884,
2474
+ "step": 3730
2475
+ },
2476
+ {
2477
+ "epoch": 19.28,
2478
+ "learning_rate": 4.009163802978237e-07,
2479
+ "loss": 0.5347,
2480
+ "step": 3740
2481
+ },
2482
+ {
2483
+ "epoch": 19.33,
2484
+ "learning_rate": 3.7227949599083624e-07,
2485
+ "loss": 0.5193,
2486
+ "step": 3750
2487
+ },
2488
+ {
2489
+ "epoch": 19.38,
2490
+ "learning_rate": 3.4364261168384884e-07,
2491
+ "loss": 0.5337,
2492
+ "step": 3760
2493
+ },
2494
+ {
2495
+ "epoch": 19.43,
2496
+ "learning_rate": 3.150057273768614e-07,
2497
+ "loss": 0.5594,
2498
+ "step": 3770
2499
+ },
2500
+ {
2501
+ "epoch": 19.48,
2502
+ "learning_rate": 2.86368843069874e-07,
2503
+ "loss": 0.531,
2504
+ "step": 3780
2505
+ },
2506
+ {
2507
+ "epoch": 19.54,
2508
+ "learning_rate": 2.577319587628866e-07,
2509
+ "loss": 0.5651,
2510
+ "step": 3790
2511
+ },
2512
+ {
2513
+ "epoch": 19.59,
2514
+ "learning_rate": 2.290950744558992e-07,
2515
+ "loss": 0.4949,
2516
+ "step": 3800
2517
+ },
2518
+ {
2519
+ "epoch": 19.64,
2520
+ "learning_rate": 2.0045819014891184e-07,
2521
+ "loss": 0.5284,
2522
+ "step": 3810
2523
+ },
2524
+ {
2525
+ "epoch": 19.69,
2526
+ "learning_rate": 1.7182130584192442e-07,
2527
+ "loss": 0.5183,
2528
+ "step": 3820
2529
+ },
2530
+ {
2531
+ "epoch": 19.74,
2532
+ "learning_rate": 1.43184421534937e-07,
2533
+ "loss": 0.5412,
2534
+ "step": 3830
2535
+ },
2536
+ {
2537
+ "epoch": 19.79,
2538
+ "learning_rate": 1.145475372279496e-07,
2539
+ "loss": 0.547,
2540
+ "step": 3840
2541
+ },
2542
+ {
2543
+ "epoch": 19.85,
2544
+ "learning_rate": 8.591065292096221e-08,
2545
+ "loss": 0.5675,
2546
+ "step": 3850
2547
+ },
2548
+ {
2549
+ "epoch": 19.9,
2550
+ "learning_rate": 5.72737686139748e-08,
2551
+ "loss": 0.5541,
2552
+ "step": 3860
2553
+ },
2554
+ {
2555
+ "epoch": 19.95,
2556
+ "learning_rate": 2.86368843069874e-08,
2557
+ "loss": 0.5541,
2558
+ "step": 3870
2559
+ },
2560
+ {
2561
+ "epoch": 20.0,
2562
+ "learning_rate": 0.0,
2563
+ "loss": 0.5409,
2564
+ "step": 3880
2565
+ },
2566
+ {
2567
+ "epoch": 20.0,
2568
+ "eval_accuracy": 0.7178329571106095,
2569
+ "eval_f1": 0.717743945710896,
2570
+ "eval_loss": 0.8245128989219666,
2571
+ "eval_precision": 0.7187025517730355,
2572
+ "eval_recall": 0.7178329571106095,
2573
+ "eval_runtime": 138.2737,
2574
+ "eval_samples_per_second": 22.427,
2575
+ "eval_steps_per_second": 0.702,
2576
+ "step": 3880
2577
+ },
2578
+ {
2579
+ "epoch": 20.0,
2580
+ "step": 3880,
2581
+ "total_flos": 3.843964371168166e+19,
2582
+ "train_loss": 0.8177650722031741,
2583
+ "train_runtime": 43638.4535,
2584
+ "train_samples_per_second": 11.367,
2585
+ "train_steps_per_second": 0.089
2586
+ }
2587
+ ],
2588
+ "max_steps": 3880,
2589
+ "num_train_epochs": 20,
2590
+ "total_flos": 3.843964371168166e+19,
2591
+ "trial_name": null,
2592
+ "trial_params": null
2593
+ }