navradio commited on
Commit
ae19c7b
1 Parent(s): b89b5ff

Training in progress, epoch 0

Browse files
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 2.98,
3
  "total_flos": 1.2944501944054088e+18,
4
- "train_loss": 0.5539750234753478,
5
- "train_runtime": 694.3806,
6
- "train_samples_per_second": 75.447,
7
- "train_steps_per_second": 0.147
8
  }
 
1
  {
2
+ "epoch": 29.77,
3
  "total_flos": 1.2944501944054088e+18,
4
+ "train_loss": 0.5755378539870385,
5
+ "train_runtime": 78104.0618,
6
+ "train_samples_per_second": 38.759,
7
+ "train_steps_per_second": 0.038
8
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:725ff2bc54a3b11274b935bb3c109a296c5b0b1332930372b36d9dcd948ba6db
3
  size 110394865
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c87aa8bca983f3414841b3cc3ec3eb1df23db576a833d530236ab2e2e1706068
3
  size 110394865
train_results.json CHANGED
@@ -1,8 +1,7 @@
1
  {
2
- "epoch": 2.98,
3
- "total_flos": 1.2944501944054088e+18,
4
- "train_loss": 0.5539750234753478,
5
- "train_runtime": 694.3806,
6
- "train_samples_per_second": 75.447,
7
- "train_steps_per_second": 0.147
8
  }
 
1
  {
2
+ "epoch": 29.77,
3
+ "train_loss": 0.5755378539870385,
4
+ "train_runtime": 78104.0618,
5
+ "train_samples_per_second": 38.759,
6
+ "train_steps_per_second": 0.038
 
7
  }
trainer_state.json CHANGED
@@ -1,112 +1,2059 @@
1
  {
2
- "best_metric": 0.7841318907779495,
3
- "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-102",
4
- "epoch": 2.978102189781022,
5
- "global_step": 102,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
- "epoch": 0.29,
12
- "learning_rate": 4.545454545454546e-05,
13
- "loss": 0.7078,
14
  "step": 10
15
  },
16
  {
17
- "epoch": 0.58,
18
- "learning_rate": 4.505494505494506e-05,
19
- "loss": 0.6219,
20
  "step": 20
21
  },
22
  {
23
- "epoch": 0.88,
24
- "learning_rate": 3.956043956043956e-05,
25
- "loss": 0.585,
26
  "step": 30
27
  },
28
  {
29
- "epoch": 0.99,
30
- "eval_accuracy": 0.755280783101494,
31
- "eval_loss": 0.5134751796722412,
32
- "eval_runtime": 21.819,
33
- "eval_samples_per_second": 88.959,
34
- "eval_steps_per_second": 0.733,
35
- "step": 34
36
- },
37
- {
38
- "epoch": 1.17,
39
- "learning_rate": 3.406593406593407e-05,
40
- "loss": 0.5548,
41
  "step": 40
42
  },
43
  {
44
- "epoch": 1.46,
45
- "learning_rate": 2.857142857142857e-05,
46
- "loss": 0.5385,
47
  "step": 50
48
  },
49
  {
50
- "epoch": 1.75,
51
- "learning_rate": 2.307692307692308e-05,
52
- "loss": 0.529,
53
  "step": 60
54
  },
55
  {
56
- "epoch": 1.99,
57
- "eval_accuracy": 0.7686759402369913,
58
- "eval_loss": 0.4735647737979889,
59
- "eval_runtime": 18.5552,
60
- "eval_samples_per_second": 104.607,
61
- "eval_steps_per_second": 0.862,
62
- "step": 68
63
- },
64
- {
65
- "epoch": 2.04,
66
- "learning_rate": 1.7582417582417584e-05,
67
- "loss": 0.5157,
68
  "step": 70
69
  },
70
  {
71
- "epoch": 2.34,
72
- "learning_rate": 1.2087912087912089e-05,
73
- "loss": 0.5039,
74
  "step": 80
75
  },
76
  {
77
- "epoch": 2.63,
78
- "learning_rate": 6.5934065934065935e-06,
79
- "loss": 0.4947,
80
  "step": 90
81
  },
82
  {
83
- "epoch": 2.92,
84
- "learning_rate": 1.098901098901099e-06,
85
- "loss": 0.4975,
 
 
 
 
 
 
 
 
 
86
  "step": 100
87
  },
88
  {
89
- "epoch": 2.98,
90
- "eval_accuracy": 0.7841318907779495,
91
- "eval_loss": 0.45493096113204956,
92
- "eval_runtime": 18.245,
93
- "eval_samples_per_second": 106.386,
94
- "eval_steps_per_second": 0.877,
95
- "step": 102
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96
  },
97
  {
98
- "epoch": 2.98,
99
- "step": 102,
100
- "total_flos": 1.2944501944054088e+18,
101
- "train_loss": 0.5539750234753478,
102
- "train_runtime": 694.3806,
103
- "train_samples_per_second": 75.447,
104
- "train_steps_per_second": 0.147
105
  }
106
  ],
107
- "max_steps": 102,
108
- "num_train_epochs": 3,
109
- "total_flos": 1.2944501944054088e+18,
110
  "trial_name": null,
111
  "trial_params": null
112
  }
 
1
  {
2
+ "best_metric": 0.7344809133071709,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1678",
4
+ "epoch": 29.772151898734176,
5
+ "global_step": 2940,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
+ "epoch": 0.1,
12
+ "learning_rate": 1.7006802721088438e-06,
13
+ "loss": 0.7145,
14
  "step": 10
15
  },
16
  {
17
+ "epoch": 0.2,
18
+ "learning_rate": 3.4013605442176877e-06,
19
+ "loss": 0.6942,
20
  "step": 20
21
  },
22
  {
23
+ "epoch": 0.3,
24
+ "learning_rate": 5.102040816326531e-06,
25
+ "loss": 0.6747,
26
  "step": 30
27
  },
28
  {
29
+ "epoch": 0.41,
30
+ "learning_rate": 6.802721088435375e-06,
31
+ "loss": 0.6626,
 
 
 
 
 
 
 
 
 
32
  "step": 40
33
  },
34
  {
35
+ "epoch": 0.51,
36
+ "learning_rate": 8.503401360544217e-06,
37
+ "loss": 0.645,
38
  "step": 50
39
  },
40
  {
41
+ "epoch": 0.61,
42
+ "learning_rate": 1.0204081632653061e-05,
43
+ "loss": 0.643,
44
  "step": 60
45
  },
46
  {
47
+ "epoch": 0.71,
48
+ "learning_rate": 1.1904761904761905e-05,
49
+ "loss": 0.6353,
 
 
 
 
 
 
 
 
 
50
  "step": 70
51
  },
52
  {
53
+ "epoch": 0.81,
54
+ "learning_rate": 1.360544217687075e-05,
55
+ "loss": 0.6242,
56
  "step": 80
57
  },
58
  {
59
+ "epoch": 0.91,
60
+ "learning_rate": 1.5306122448979594e-05,
61
+ "loss": 0.6271,
62
  "step": 90
63
  },
64
  {
65
+ "epoch": 0.99,
66
+ "eval_accuracy": 0.6925615412058509,
67
+ "eval_loss": 0.6034993529319763,
68
+ "eval_runtime": 291.7633,
69
+ "eval_samples_per_second": 38.428,
70
+ "eval_steps_per_second": 0.151,
71
+ "step": 98
72
+ },
73
+ {
74
+ "epoch": 1.01,
75
+ "learning_rate": 1.7006802721088435e-05,
76
+ "loss": 0.625,
77
  "step": 100
78
  },
79
  {
80
+ "epoch": 1.11,
81
+ "learning_rate": 1.8707482993197282e-05,
82
+ "loss": 0.6206,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 1.22,
87
+ "learning_rate": 2.0408163265306123e-05,
88
+ "loss": 0.6208,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 1.32,
93
+ "learning_rate": 2.2108843537414966e-05,
94
+ "loss": 0.625,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 1.42,
99
+ "learning_rate": 2.380952380952381e-05,
100
+ "loss": 0.6198,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 1.52,
105
+ "learning_rate": 2.5510204081632654e-05,
106
+ "loss": 0.613,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 1.62,
111
+ "learning_rate": 2.72108843537415e-05,
112
+ "loss": 0.6242,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.72,
117
+ "learning_rate": 2.891156462585034e-05,
118
+ "loss": 0.616,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.82,
123
+ "learning_rate": 3.061224489795919e-05,
124
+ "loss": 0.6145,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.92,
129
+ "learning_rate": 3.231292517006803e-05,
130
+ "loss": 0.6156,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.99,
135
+ "eval_accuracy": 0.7005886550124866,
136
+ "eval_loss": 0.5843892097473145,
137
+ "eval_runtime": 301.4707,
138
+ "eval_samples_per_second": 37.191,
139
+ "eval_steps_per_second": 0.146,
140
+ "step": 197
141
+ },
142
+ {
143
+ "epoch": 2.03,
144
+ "learning_rate": 3.401360544217687e-05,
145
+ "loss": 0.6069,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 2.13,
150
+ "learning_rate": 3.571428571428572e-05,
151
+ "loss": 0.6087,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 2.23,
156
+ "learning_rate": 3.7414965986394564e-05,
157
+ "loss": 0.6116,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 2.33,
162
+ "learning_rate": 3.9115646258503405e-05,
163
+ "loss": 0.6085,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 2.43,
168
+ "learning_rate": 4.0816326530612245e-05,
169
+ "loss": 0.6049,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 2.53,
174
+ "learning_rate": 4.2517006802721085e-05,
175
+ "loss": 0.6013,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 2.63,
180
+ "learning_rate": 4.421768707482993e-05,
181
+ "loss": 0.6009,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 2.73,
186
+ "learning_rate": 4.591836734693878e-05,
187
+ "loss": 0.608,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 2.84,
192
+ "learning_rate": 4.761904761904762e-05,
193
+ "loss": 0.6145,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 2.94,
198
+ "learning_rate": 4.931972789115647e-05,
199
+ "loss": 0.6148,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 3.0,
204
+ "eval_accuracy": 0.7103995718872637,
205
+ "eval_loss": 0.5758489966392517,
206
+ "eval_runtime": 290.2528,
207
+ "eval_samples_per_second": 38.628,
208
+ "eval_steps_per_second": 0.152,
209
+ "step": 296
210
+ },
211
+ {
212
+ "epoch": 3.04,
213
+ "learning_rate": 4.9886621315192745e-05,
214
+ "loss": 0.5965,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 3.14,
219
+ "learning_rate": 4.969765684051398e-05,
220
+ "loss": 0.601,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 3.24,
225
+ "learning_rate": 4.9508692365835225e-05,
226
+ "loss": 0.6087,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 3.34,
231
+ "learning_rate": 4.931972789115647e-05,
232
+ "loss": 0.6063,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 3.44,
237
+ "learning_rate": 4.9130763416477704e-05,
238
+ "loss": 0.6034,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 3.54,
243
+ "learning_rate": 4.894179894179895e-05,
244
+ "loss": 0.5962,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 3.65,
249
+ "learning_rate": 4.875283446712018e-05,
250
+ "loss": 0.605,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 3.75,
255
+ "learning_rate": 4.8563869992441426e-05,
256
+ "loss": 0.5962,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 3.85,
261
+ "learning_rate": 4.837490551776266e-05,
262
+ "loss": 0.5986,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 3.95,
267
+ "learning_rate": 4.8185941043083905e-05,
268
+ "loss": 0.6055,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 4.0,
273
+ "eval_accuracy": 0.7014805565465573,
274
+ "eval_loss": 0.5852587819099426,
275
+ "eval_runtime": 287.2656,
276
+ "eval_samples_per_second": 39.03,
277
+ "eval_steps_per_second": 0.153,
278
+ "step": 395
279
+ },
280
+ {
281
+ "epoch": 4.05,
282
+ "learning_rate": 4.799697656840514e-05,
283
+ "loss": 0.597,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 4.15,
288
+ "learning_rate": 4.7808012093726384e-05,
289
+ "loss": 0.5931,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 4.25,
294
+ "learning_rate": 4.761904761904762e-05,
295
+ "loss": 0.5942,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 4.35,
300
+ "learning_rate": 4.7430083144368857e-05,
301
+ "loss": 0.5989,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 4.46,
306
+ "learning_rate": 4.72411186696901e-05,
307
+ "loss": 0.5947,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 4.56,
312
+ "learning_rate": 4.7052154195011336e-05,
313
+ "loss": 0.5972,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 4.66,
318
+ "learning_rate": 4.686318972033258e-05,
319
+ "loss": 0.5864,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 4.76,
324
+ "learning_rate": 4.667422524565382e-05,
325
+ "loss": 0.5975,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 4.86,
330
+ "learning_rate": 4.648526077097506e-05,
331
+ "loss": 0.598,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 4.96,
336
+ "learning_rate": 4.62962962962963e-05,
337
+ "loss": 0.5938,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 4.99,
342
+ "eval_accuracy": 0.7103995718872637,
343
+ "eval_loss": 0.5857925415039062,
344
+ "eval_runtime": 270.8215,
345
+ "eval_samples_per_second": 41.4,
346
+ "eval_steps_per_second": 0.162,
347
+ "step": 493
348
+ },
349
+ {
350
+ "epoch": 5.06,
351
+ "learning_rate": 4.610733182161754e-05,
352
+ "loss": 0.5987,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 5.16,
357
+ "learning_rate": 4.591836734693878e-05,
358
+ "loss": 0.5889,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 5.27,
363
+ "learning_rate": 4.5729402872260016e-05,
364
+ "loss": 0.5908,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 5.37,
369
+ "learning_rate": 4.554043839758126e-05,
370
+ "loss": 0.5908,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 5.47,
375
+ "learning_rate": 4.53514739229025e-05,
376
+ "loss": 0.5871,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 5.57,
381
+ "learning_rate": 4.516250944822374e-05,
382
+ "loss": 0.593,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 5.67,
387
+ "learning_rate": 4.4973544973544974e-05,
388
+ "loss": 0.5891,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 5.77,
393
+ "learning_rate": 4.478458049886621e-05,
394
+ "loss": 0.594,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 5.87,
399
+ "learning_rate": 4.4595616024187454e-05,
400
+ "loss": 0.5924,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 5.97,
405
+ "learning_rate": 4.4406651549508697e-05,
406
+ "loss": 0.5878,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 5.99,
411
+ "eval_accuracy": 0.7210132001427042,
412
+ "eval_loss": 0.5630102753639221,
413
+ "eval_runtime": 271.5122,
414
+ "eval_samples_per_second": 41.295,
415
+ "eval_steps_per_second": 0.162,
416
+ "step": 592
417
+ },
418
+ {
419
+ "epoch": 6.08,
420
+ "learning_rate": 4.421768707482993e-05,
421
+ "loss": 0.5898,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 6.18,
426
+ "learning_rate": 4.4028722600151176e-05,
427
+ "loss": 0.5872,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 6.28,
432
+ "learning_rate": 4.383975812547241e-05,
433
+ "loss": 0.5885,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 6.38,
438
+ "learning_rate": 4.3650793650793655e-05,
439
+ "loss": 0.5811,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 6.48,
444
+ "learning_rate": 4.346182917611489e-05,
445
+ "loss": 0.5859,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 6.58,
450
+ "learning_rate": 4.3272864701436134e-05,
451
+ "loss": 0.5914,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 6.68,
456
+ "learning_rate": 4.308390022675737e-05,
457
+ "loss": 0.5867,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 6.78,
462
+ "learning_rate": 4.289493575207861e-05,
463
+ "loss": 0.5865,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 6.89,
468
+ "learning_rate": 4.2705971277399856e-05,
469
+ "loss": 0.5881,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 6.99,
474
+ "learning_rate": 4.2517006802721085e-05,
475
+ "loss": 0.5873,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 7.0,
480
+ "eval_accuracy": 0.7235997145915091,
481
+ "eval_loss": 0.5619792938232422,
482
+ "eval_runtime": 267.8238,
483
+ "eval_samples_per_second": 41.863,
484
+ "eval_steps_per_second": 0.164,
485
+ "step": 691
486
+ },
487
+ {
488
+ "epoch": 7.09,
489
+ "learning_rate": 4.232804232804233e-05,
490
+ "loss": 0.5803,
491
+ "step": 700
492
+ },
493
+ {
494
+ "epoch": 7.19,
495
+ "learning_rate": 4.2139077853363565e-05,
496
+ "loss": 0.5775,
497
+ "step": 710
498
+ },
499
+ {
500
+ "epoch": 7.29,
501
+ "learning_rate": 4.195011337868481e-05,
502
+ "loss": 0.5849,
503
+ "step": 720
504
+ },
505
+ {
506
+ "epoch": 7.39,
507
+ "learning_rate": 4.176114890400605e-05,
508
+ "loss": 0.5856,
509
+ "step": 730
510
+ },
511
+ {
512
+ "epoch": 7.49,
513
+ "learning_rate": 4.157218442932729e-05,
514
+ "loss": 0.5843,
515
+ "step": 740
516
+ },
517
+ {
518
+ "epoch": 7.59,
519
+ "learning_rate": 4.138321995464853e-05,
520
+ "loss": 0.5889,
521
+ "step": 750
522
+ },
523
+ {
524
+ "epoch": 7.7,
525
+ "learning_rate": 4.1194255479969766e-05,
526
+ "loss": 0.5763,
527
+ "step": 760
528
+ },
529
+ {
530
+ "epoch": 7.8,
531
+ "learning_rate": 4.100529100529101e-05,
532
+ "loss": 0.5833,
533
+ "step": 770
534
+ },
535
+ {
536
+ "epoch": 7.9,
537
+ "learning_rate": 4.0816326530612245e-05,
538
+ "loss": 0.5781,
539
+ "step": 780
540
+ },
541
+ {
542
+ "epoch": 8.0,
543
+ "learning_rate": 4.062736205593349e-05,
544
+ "loss": 0.5947,
545
+ "step": 790
546
+ },
547
+ {
548
+ "epoch": 8.0,
549
+ "eval_accuracy": 0.7195861576881912,
550
+ "eval_loss": 0.5669898390769958,
551
+ "eval_runtime": 271.8958,
552
+ "eval_samples_per_second": 41.236,
553
+ "eval_steps_per_second": 0.162,
554
+ "step": 790
555
+ },
556
+ {
557
+ "epoch": 8.1,
558
+ "learning_rate": 4.043839758125473e-05,
559
+ "loss": 0.5784,
560
+ "step": 800
561
+ },
562
+ {
563
+ "epoch": 8.2,
564
+ "learning_rate": 4.024943310657597e-05,
565
+ "loss": 0.578,
566
+ "step": 810
567
+ },
568
+ {
569
+ "epoch": 8.3,
570
+ "learning_rate": 4.006046863189721e-05,
571
+ "loss": 0.5888,
572
+ "step": 820
573
+ },
574
+ {
575
+ "epoch": 8.41,
576
+ "learning_rate": 3.987150415721844e-05,
577
+ "loss": 0.5828,
578
+ "step": 830
579
+ },
580
+ {
581
+ "epoch": 8.51,
582
+ "learning_rate": 3.968253968253968e-05,
583
+ "loss": 0.582,
584
+ "step": 840
585
+ },
586
+ {
587
+ "epoch": 8.61,
588
+ "learning_rate": 3.9493575207860925e-05,
589
+ "loss": 0.5817,
590
+ "step": 850
591
+ },
592
+ {
593
+ "epoch": 8.71,
594
+ "learning_rate": 3.930461073318216e-05,
595
+ "loss": 0.5729,
596
+ "step": 860
597
+ },
598
+ {
599
+ "epoch": 8.81,
600
+ "learning_rate": 3.9115646258503405e-05,
601
+ "loss": 0.5831,
602
+ "step": 870
603
+ },
604
+ {
605
+ "epoch": 8.91,
606
+ "learning_rate": 3.892668178382464e-05,
607
+ "loss": 0.5866,
608
+ "step": 880
609
+ },
610
+ {
611
+ "epoch": 8.99,
612
+ "eval_accuracy": 0.7265429896539422,
613
+ "eval_loss": 0.5592203736305237,
614
+ "eval_runtime": 270.4426,
615
+ "eval_samples_per_second": 41.458,
616
+ "eval_steps_per_second": 0.163,
617
+ "step": 888
618
+ },
619
+ {
620
+ "epoch": 9.01,
621
+ "learning_rate": 3.8737717309145884e-05,
622
+ "loss": 0.5808,
623
+ "step": 890
624
+ },
625
+ {
626
+ "epoch": 9.11,
627
+ "learning_rate": 3.854875283446712e-05,
628
+ "loss": 0.5863,
629
+ "step": 900
630
+ },
631
+ {
632
+ "epoch": 9.22,
633
+ "learning_rate": 3.835978835978836e-05,
634
+ "loss": 0.5783,
635
+ "step": 910
636
+ },
637
+ {
638
+ "epoch": 9.32,
639
+ "learning_rate": 3.81708238851096e-05,
640
+ "loss": 0.578,
641
+ "step": 920
642
+ },
643
+ {
644
+ "epoch": 9.42,
645
+ "learning_rate": 3.798185941043084e-05,
646
+ "loss": 0.569,
647
+ "step": 930
648
+ },
649
+ {
650
+ "epoch": 9.52,
651
+ "learning_rate": 3.7792894935752085e-05,
652
+ "loss": 0.5821,
653
+ "step": 940
654
+ },
655
+ {
656
+ "epoch": 9.62,
657
+ "learning_rate": 3.760393046107332e-05,
658
+ "loss": 0.5827,
659
+ "step": 950
660
+ },
661
+ {
662
+ "epoch": 9.72,
663
+ "learning_rate": 3.7414965986394564e-05,
664
+ "loss": 0.5817,
665
+ "step": 960
666
+ },
667
+ {
668
+ "epoch": 9.82,
669
+ "learning_rate": 3.7226001511715794e-05,
670
+ "loss": 0.5774,
671
+ "step": 970
672
+ },
673
+ {
674
+ "epoch": 9.92,
675
+ "learning_rate": 3.7037037037037037e-05,
676
+ "loss": 0.5807,
677
+ "step": 980
678
+ },
679
+ {
680
+ "epoch": 9.99,
681
+ "eval_accuracy": 0.7253835176596504,
682
+ "eval_loss": 0.557357132434845,
683
+ "eval_runtime": 270.5413,
684
+ "eval_samples_per_second": 41.443,
685
+ "eval_steps_per_second": 0.163,
686
+ "step": 987
687
+ },
688
+ {
689
+ "epoch": 10.03,
690
+ "learning_rate": 3.684807256235828e-05,
691
+ "loss": 0.5883,
692
+ "step": 990
693
+ },
694
+ {
695
+ "epoch": 10.13,
696
+ "learning_rate": 3.6659108087679516e-05,
697
+ "loss": 0.5711,
698
+ "step": 1000
699
+ },
700
+ {
701
+ "epoch": 10.23,
702
+ "learning_rate": 3.647014361300076e-05,
703
+ "loss": 0.5794,
704
+ "step": 1010
705
+ },
706
+ {
707
+ "epoch": 10.33,
708
+ "learning_rate": 3.6281179138321995e-05,
709
+ "loss": 0.5869,
710
+ "step": 1020
711
+ },
712
+ {
713
+ "epoch": 10.43,
714
+ "learning_rate": 3.609221466364324e-05,
715
+ "loss": 0.584,
716
+ "step": 1030
717
+ },
718
+ {
719
+ "epoch": 10.53,
720
+ "learning_rate": 3.5903250188964474e-05,
721
+ "loss": 0.5716,
722
+ "step": 1040
723
+ },
724
+ {
725
+ "epoch": 10.63,
726
+ "learning_rate": 3.571428571428572e-05,
727
+ "loss": 0.5783,
728
+ "step": 1050
729
+ },
730
+ {
731
+ "epoch": 10.73,
732
+ "learning_rate": 3.552532123960696e-05,
733
+ "loss": 0.577,
734
+ "step": 1060
735
+ },
736
+ {
737
+ "epoch": 10.84,
738
+ "learning_rate": 3.5336356764928196e-05,
739
+ "loss": 0.5779,
740
+ "step": 1070
741
+ },
742
+ {
743
+ "epoch": 10.94,
744
+ "learning_rate": 3.514739229024944e-05,
745
+ "loss": 0.5764,
746
+ "step": 1080
747
+ },
748
+ {
749
+ "epoch": 11.0,
750
+ "eval_accuracy": 0.7244916161255798,
751
+ "eval_loss": 0.565514862537384,
752
+ "eval_runtime": 273.5069,
753
+ "eval_samples_per_second": 40.993,
754
+ "eval_steps_per_second": 0.161,
755
+ "step": 1086
756
+ },
757
+ {
758
+ "epoch": 11.04,
759
+ "learning_rate": 3.4958427815570675e-05,
760
+ "loss": 0.5806,
761
+ "step": 1090
762
+ },
763
+ {
764
+ "epoch": 11.14,
765
+ "learning_rate": 3.476946334089191e-05,
766
+ "loss": 0.5779,
767
+ "step": 1100
768
+ },
769
+ {
770
+ "epoch": 11.24,
771
+ "learning_rate": 3.4580498866213154e-05,
772
+ "loss": 0.5799,
773
+ "step": 1110
774
+ },
775
+ {
776
+ "epoch": 11.34,
777
+ "learning_rate": 3.439153439153439e-05,
778
+ "loss": 0.5844,
779
+ "step": 1120
780
+ },
781
+ {
782
+ "epoch": 11.44,
783
+ "learning_rate": 3.4202569916855634e-05,
784
+ "loss": 0.5715,
785
+ "step": 1130
786
+ },
787
+ {
788
+ "epoch": 11.54,
789
+ "learning_rate": 3.401360544217687e-05,
790
+ "loss": 0.5809,
791
+ "step": 1140
792
+ },
793
+ {
794
+ "epoch": 11.65,
795
+ "learning_rate": 3.382464096749811e-05,
796
+ "loss": 0.5695,
797
+ "step": 1150
798
+ },
799
+ {
800
+ "epoch": 11.75,
801
+ "learning_rate": 3.363567649281935e-05,
802
+ "loss": 0.576,
803
+ "step": 1160
804
+ },
805
+ {
806
+ "epoch": 11.85,
807
+ "learning_rate": 3.344671201814059e-05,
808
+ "loss": 0.5736,
809
+ "step": 1170
810
+ },
811
+ {
812
+ "epoch": 11.95,
813
+ "learning_rate": 3.325774754346183e-05,
814
+ "loss": 0.5729,
815
+ "step": 1180
816
+ },
817
+ {
818
+ "epoch": 12.0,
819
+ "eval_accuracy": 0.7236889047449162,
820
+ "eval_loss": 0.5611264109611511,
821
+ "eval_runtime": 268.1746,
822
+ "eval_samples_per_second": 41.809,
823
+ "eval_steps_per_second": 0.164,
824
+ "step": 1185
825
+ },
826
+ {
827
+ "epoch": 12.05,
828
+ "learning_rate": 3.306878306878307e-05,
829
+ "loss": 0.5775,
830
+ "step": 1190
831
+ },
832
+ {
833
+ "epoch": 12.15,
834
+ "learning_rate": 3.2879818594104314e-05,
835
+ "loss": 0.5774,
836
+ "step": 1200
837
+ },
838
+ {
839
+ "epoch": 12.25,
840
+ "learning_rate": 3.269085411942555e-05,
841
+ "loss": 0.5751,
842
+ "step": 1210
843
+ },
844
+ {
845
+ "epoch": 12.35,
846
+ "learning_rate": 3.250188964474679e-05,
847
+ "loss": 0.5767,
848
+ "step": 1220
849
+ },
850
+ {
851
+ "epoch": 12.46,
852
+ "learning_rate": 3.231292517006803e-05,
853
+ "loss": 0.5717,
854
+ "step": 1230
855
+ },
856
+ {
857
+ "epoch": 12.56,
858
+ "learning_rate": 3.2123960695389265e-05,
859
+ "loss": 0.5738,
860
+ "step": 1240
861
+ },
862
+ {
863
+ "epoch": 12.66,
864
+ "learning_rate": 3.193499622071051e-05,
865
+ "loss": 0.5749,
866
+ "step": 1250
867
+ },
868
+ {
869
+ "epoch": 12.76,
870
+ "learning_rate": 3.1746031746031745e-05,
871
+ "loss": 0.5741,
872
+ "step": 1260
873
+ },
874
+ {
875
+ "epoch": 12.86,
876
+ "learning_rate": 3.155706727135299e-05,
877
+ "loss": 0.5789,
878
+ "step": 1270
879
+ },
880
+ {
881
+ "epoch": 12.96,
882
+ "learning_rate": 3.1368102796674224e-05,
883
+ "loss": 0.577,
884
+ "step": 1280
885
+ },
886
+ {
887
+ "epoch": 12.99,
888
+ "eval_accuracy": 0.7188726364609347,
889
+ "eval_loss": 0.5702112913131714,
890
+ "eval_runtime": 267.6574,
891
+ "eval_samples_per_second": 41.889,
892
+ "eval_steps_per_second": 0.164,
893
+ "step": 1283
894
+ },
895
+ {
896
+ "epoch": 13.06,
897
+ "learning_rate": 3.117913832199547e-05,
898
+ "loss": 0.5767,
899
+ "step": 1290
900
+ },
901
+ {
902
+ "epoch": 13.16,
903
+ "learning_rate": 3.09901738473167e-05,
904
+ "loss": 0.5727,
905
+ "step": 1300
906
+ },
907
+ {
908
+ "epoch": 13.27,
909
+ "learning_rate": 3.0801209372637946e-05,
910
+ "loss": 0.5702,
911
+ "step": 1310
912
+ },
913
+ {
914
+ "epoch": 13.37,
915
+ "learning_rate": 3.061224489795919e-05,
916
+ "loss": 0.5768,
917
+ "step": 1320
918
+ },
919
+ {
920
+ "epoch": 13.47,
921
+ "learning_rate": 3.0423280423280425e-05,
922
+ "loss": 0.5708,
923
+ "step": 1330
924
+ },
925
+ {
926
+ "epoch": 13.57,
927
+ "learning_rate": 3.0234315948601665e-05,
928
+ "loss": 0.5708,
929
+ "step": 1340
930
+ },
931
+ {
932
+ "epoch": 13.67,
933
+ "learning_rate": 3.0045351473922904e-05,
934
+ "loss": 0.5677,
935
+ "step": 1350
936
+ },
937
+ {
938
+ "epoch": 13.77,
939
+ "learning_rate": 2.9856386999244147e-05,
940
+ "loss": 0.5755,
941
+ "step": 1360
942
+ },
943
+ {
944
+ "epoch": 13.87,
945
+ "learning_rate": 2.9667422524565387e-05,
946
+ "loss": 0.5731,
947
+ "step": 1370
948
+ },
949
+ {
950
+ "epoch": 13.97,
951
+ "learning_rate": 2.947845804988662e-05,
952
+ "loss": 0.5702,
953
+ "step": 1380
954
+ },
955
+ {
956
+ "epoch": 13.99,
957
+ "eval_accuracy": 0.7259186585800927,
958
+ "eval_loss": 0.5587979555130005,
959
+ "eval_runtime": 267.9851,
960
+ "eval_samples_per_second": 41.838,
961
+ "eval_steps_per_second": 0.164,
962
+ "step": 1382
963
+ },
964
+ {
965
+ "epoch": 14.08,
966
+ "learning_rate": 2.928949357520786e-05,
967
+ "loss": 0.5713,
968
+ "step": 1390
969
+ },
970
+ {
971
+ "epoch": 14.18,
972
+ "learning_rate": 2.91005291005291e-05,
973
+ "loss": 0.5648,
974
+ "step": 1400
975
+ },
976
+ {
977
+ "epoch": 14.28,
978
+ "learning_rate": 2.891156462585034e-05,
979
+ "loss": 0.5715,
980
+ "step": 1410
981
+ },
982
+ {
983
+ "epoch": 14.38,
984
+ "learning_rate": 2.872260015117158e-05,
985
+ "loss": 0.5711,
986
+ "step": 1420
987
+ },
988
+ {
989
+ "epoch": 14.48,
990
+ "learning_rate": 2.853363567649282e-05,
991
+ "loss": 0.5598,
992
+ "step": 1430
993
+ },
994
+ {
995
+ "epoch": 14.58,
996
+ "learning_rate": 2.834467120181406e-05,
997
+ "loss": 0.5746,
998
+ "step": 1440
999
+ },
1000
+ {
1001
+ "epoch": 14.68,
1002
+ "learning_rate": 2.81557067271353e-05,
1003
+ "loss": 0.5702,
1004
+ "step": 1450
1005
+ },
1006
+ {
1007
+ "epoch": 14.78,
1008
+ "learning_rate": 2.796674225245654e-05,
1009
+ "loss": 0.58,
1010
+ "step": 1460
1011
+ },
1012
+ {
1013
+ "epoch": 14.89,
1014
+ "learning_rate": 2.777777777777778e-05,
1015
+ "loss": 0.5706,
1016
+ "step": 1470
1017
+ },
1018
+ {
1019
+ "epoch": 14.99,
1020
+ "learning_rate": 2.758881330309902e-05,
1021
+ "loss": 0.5717,
1022
+ "step": 1480
1023
+ },
1024
+ {
1025
+ "epoch": 15.0,
1026
+ "eval_accuracy": 0.7244024259721726,
1027
+ "eval_loss": 0.5564510226249695,
1028
+ "eval_runtime": 273.2108,
1029
+ "eval_samples_per_second": 41.038,
1030
+ "eval_steps_per_second": 0.161,
1031
+ "step": 1481
1032
+ },
1033
+ {
1034
+ "epoch": 15.09,
1035
+ "learning_rate": 2.739984882842026e-05,
1036
+ "loss": 0.5678,
1037
+ "step": 1490
1038
+ },
1039
+ {
1040
+ "epoch": 15.19,
1041
+ "learning_rate": 2.72108843537415e-05,
1042
+ "loss": 0.5653,
1043
+ "step": 1500
1044
+ },
1045
+ {
1046
+ "epoch": 15.29,
1047
+ "learning_rate": 2.7021919879062734e-05,
1048
+ "loss": 0.5599,
1049
+ "step": 1510
1050
+ },
1051
+ {
1052
+ "epoch": 15.39,
1053
+ "learning_rate": 2.6832955404383974e-05,
1054
+ "loss": 0.5745,
1055
+ "step": 1520
1056
+ },
1057
+ {
1058
+ "epoch": 15.49,
1059
+ "learning_rate": 2.6643990929705213e-05,
1060
+ "loss": 0.5701,
1061
+ "step": 1530
1062
+ },
1063
+ {
1064
+ "epoch": 15.59,
1065
+ "learning_rate": 2.6455026455026456e-05,
1066
+ "loss": 0.5715,
1067
+ "step": 1540
1068
+ },
1069
+ {
1070
+ "epoch": 15.7,
1071
+ "learning_rate": 2.6266061980347696e-05,
1072
+ "loss": 0.5677,
1073
+ "step": 1550
1074
+ },
1075
+ {
1076
+ "epoch": 15.8,
1077
+ "learning_rate": 2.6077097505668935e-05,
1078
+ "loss": 0.5749,
1079
+ "step": 1560
1080
+ },
1081
+ {
1082
+ "epoch": 15.9,
1083
+ "learning_rate": 2.5888133030990175e-05,
1084
+ "loss": 0.5741,
1085
+ "step": 1570
1086
+ },
1087
+ {
1088
+ "epoch": 16.0,
1089
+ "learning_rate": 2.5699168556311414e-05,
1090
+ "loss": 0.5646,
1091
+ "step": 1580
1092
+ },
1093
+ {
1094
+ "epoch": 16.0,
1095
+ "eval_accuracy": 0.7302889760970389,
1096
+ "eval_loss": 0.5536319017410278,
1097
+ "eval_runtime": 270.439,
1098
+ "eval_samples_per_second": 41.459,
1099
+ "eval_steps_per_second": 0.163,
1100
+ "step": 1580
1101
+ },
1102
+ {
1103
+ "epoch": 16.1,
1104
+ "learning_rate": 2.5510204081632654e-05,
1105
+ "loss": 0.5717,
1106
+ "step": 1590
1107
+ },
1108
+ {
1109
+ "epoch": 16.2,
1110
+ "learning_rate": 2.5321239606953894e-05,
1111
+ "loss": 0.565,
1112
+ "step": 1600
1113
+ },
1114
+ {
1115
+ "epoch": 16.3,
1116
+ "learning_rate": 2.5132275132275137e-05,
1117
+ "loss": 0.5749,
1118
+ "step": 1610
1119
+ },
1120
+ {
1121
+ "epoch": 16.41,
1122
+ "learning_rate": 2.4943310657596373e-05,
1123
+ "loss": 0.5701,
1124
+ "step": 1620
1125
+ },
1126
+ {
1127
+ "epoch": 16.51,
1128
+ "learning_rate": 2.4754346182917612e-05,
1129
+ "loss": 0.5717,
1130
+ "step": 1630
1131
+ },
1132
+ {
1133
+ "epoch": 16.61,
1134
+ "learning_rate": 2.4565381708238852e-05,
1135
+ "loss": 0.5641,
1136
+ "step": 1640
1137
+ },
1138
+ {
1139
+ "epoch": 16.71,
1140
+ "learning_rate": 2.437641723356009e-05,
1141
+ "loss": 0.5663,
1142
+ "step": 1650
1143
+ },
1144
+ {
1145
+ "epoch": 16.81,
1146
+ "learning_rate": 2.418745275888133e-05,
1147
+ "loss": 0.5674,
1148
+ "step": 1660
1149
+ },
1150
+ {
1151
+ "epoch": 16.91,
1152
+ "learning_rate": 2.399848828420257e-05,
1153
+ "loss": 0.5591,
1154
+ "step": 1670
1155
+ },
1156
+ {
1157
+ "epoch": 16.99,
1158
+ "eval_accuracy": 0.7344809133071709,
1159
+ "eval_loss": 0.5525398254394531,
1160
+ "eval_runtime": 269.9721,
1161
+ "eval_samples_per_second": 41.53,
1162
+ "eval_steps_per_second": 0.163,
1163
+ "step": 1678
1164
+ },
1165
+ {
1166
+ "epoch": 17.01,
1167
+ "learning_rate": 2.380952380952381e-05,
1168
+ "loss": 0.5754,
1169
+ "step": 1680
1170
+ },
1171
+ {
1172
+ "epoch": 17.11,
1173
+ "learning_rate": 2.362055933484505e-05,
1174
+ "loss": 0.5734,
1175
+ "step": 1690
1176
+ },
1177
+ {
1178
+ "epoch": 17.22,
1179
+ "learning_rate": 2.343159486016629e-05,
1180
+ "loss": 0.5671,
1181
+ "step": 1700
1182
+ },
1183
+ {
1184
+ "epoch": 17.32,
1185
+ "learning_rate": 2.324263038548753e-05,
1186
+ "loss": 0.5663,
1187
+ "step": 1710
1188
+ },
1189
+ {
1190
+ "epoch": 17.42,
1191
+ "learning_rate": 2.305366591080877e-05,
1192
+ "loss": 0.5707,
1193
+ "step": 1720
1194
+ },
1195
+ {
1196
+ "epoch": 17.52,
1197
+ "learning_rate": 2.2864701436130008e-05,
1198
+ "loss": 0.5635,
1199
+ "step": 1730
1200
+ },
1201
+ {
1202
+ "epoch": 17.62,
1203
+ "learning_rate": 2.267573696145125e-05,
1204
+ "loss": 0.569,
1205
+ "step": 1740
1206
+ },
1207
+ {
1208
+ "epoch": 17.72,
1209
+ "learning_rate": 2.2486772486772487e-05,
1210
+ "loss": 0.5675,
1211
+ "step": 1750
1212
+ },
1213
+ {
1214
+ "epoch": 17.82,
1215
+ "learning_rate": 2.2297808012093727e-05,
1216
+ "loss": 0.5623,
1217
+ "step": 1760
1218
+ },
1219
+ {
1220
+ "epoch": 17.92,
1221
+ "learning_rate": 2.2108843537414966e-05,
1222
+ "loss": 0.5586,
1223
+ "step": 1770
1224
+ },
1225
+ {
1226
+ "epoch": 17.99,
1227
+ "eval_accuracy": 0.7285943631823046,
1228
+ "eval_loss": 0.5565158724784851,
1229
+ "eval_runtime": 267.0513,
1230
+ "eval_samples_per_second": 41.984,
1231
+ "eval_steps_per_second": 0.165,
1232
+ "step": 1777
1233
+ },
1234
+ {
1235
+ "epoch": 18.03,
1236
+ "learning_rate": 2.1919879062736206e-05,
1237
+ "loss": 0.5606,
1238
+ "step": 1780
1239
+ },
1240
+ {
1241
+ "epoch": 18.13,
1242
+ "learning_rate": 2.1730914588057446e-05,
1243
+ "loss": 0.5611,
1244
+ "step": 1790
1245
+ },
1246
+ {
1247
+ "epoch": 18.23,
1248
+ "learning_rate": 2.1541950113378685e-05,
1249
+ "loss": 0.5693,
1250
+ "step": 1800
1251
+ },
1252
+ {
1253
+ "epoch": 18.33,
1254
+ "learning_rate": 2.1352985638699928e-05,
1255
+ "loss": 0.559,
1256
+ "step": 1810
1257
+ },
1258
+ {
1259
+ "epoch": 18.43,
1260
+ "learning_rate": 2.1164021164021164e-05,
1261
+ "loss": 0.5673,
1262
+ "step": 1820
1263
+ },
1264
+ {
1265
+ "epoch": 18.53,
1266
+ "learning_rate": 2.0975056689342404e-05,
1267
+ "loss": 0.5635,
1268
+ "step": 1830
1269
+ },
1270
+ {
1271
+ "epoch": 18.63,
1272
+ "learning_rate": 2.0786092214663643e-05,
1273
+ "loss": 0.567,
1274
+ "step": 1840
1275
+ },
1276
+ {
1277
+ "epoch": 18.73,
1278
+ "learning_rate": 2.0597127739984883e-05,
1279
+ "loss": 0.5637,
1280
+ "step": 1850
1281
+ },
1282
+ {
1283
+ "epoch": 18.84,
1284
+ "learning_rate": 2.0408163265306123e-05,
1285
+ "loss": 0.5648,
1286
+ "step": 1860
1287
+ },
1288
+ {
1289
+ "epoch": 18.94,
1290
+ "learning_rate": 2.0219198790627365e-05,
1291
+ "loss": 0.5668,
1292
+ "step": 1870
1293
+ },
1294
+ {
1295
+ "epoch": 19.0,
1296
+ "eval_accuracy": 0.7303781662504459,
1297
+ "eval_loss": 0.5519587993621826,
1298
+ "eval_runtime": 272.9351,
1299
+ "eval_samples_per_second": 41.079,
1300
+ "eval_steps_per_second": 0.161,
1301
+ "step": 1876
1302
+ },
1303
+ {
1304
+ "epoch": 19.04,
1305
+ "learning_rate": 2.0030234315948605e-05,
1306
+ "loss": 0.5628,
1307
+ "step": 1880
1308
+ },
1309
+ {
1310
+ "epoch": 19.14,
1311
+ "learning_rate": 1.984126984126984e-05,
1312
+ "loss": 0.5642,
1313
+ "step": 1890
1314
+ },
1315
+ {
1316
+ "epoch": 19.24,
1317
+ "learning_rate": 1.965230536659108e-05,
1318
+ "loss": 0.5563,
1319
+ "step": 1900
1320
+ },
1321
+ {
1322
+ "epoch": 19.34,
1323
+ "learning_rate": 1.946334089191232e-05,
1324
+ "loss": 0.5642,
1325
+ "step": 1910
1326
+ },
1327
+ {
1328
+ "epoch": 19.44,
1329
+ "learning_rate": 1.927437641723356e-05,
1330
+ "loss": 0.5618,
1331
+ "step": 1920
1332
+ },
1333
+ {
1334
+ "epoch": 19.54,
1335
+ "learning_rate": 1.90854119425548e-05,
1336
+ "loss": 0.5578,
1337
+ "step": 1930
1338
+ },
1339
+ {
1340
+ "epoch": 19.65,
1341
+ "learning_rate": 1.8896447467876043e-05,
1342
+ "loss": 0.5636,
1343
+ "step": 1940
1344
+ },
1345
+ {
1346
+ "epoch": 19.75,
1347
+ "learning_rate": 1.8707482993197282e-05,
1348
+ "loss": 0.5749,
1349
+ "step": 1950
1350
+ },
1351
+ {
1352
+ "epoch": 19.85,
1353
+ "learning_rate": 1.8518518518518518e-05,
1354
+ "loss": 0.5628,
1355
+ "step": 1960
1356
+ },
1357
+ {
1358
+ "epoch": 19.95,
1359
+ "learning_rate": 1.8329554043839758e-05,
1360
+ "loss": 0.5617,
1361
+ "step": 1970
1362
+ },
1363
+ {
1364
+ "epoch": 20.0,
1365
+ "eval_accuracy": 0.7288619336425258,
1366
+ "eval_loss": 0.5557389855384827,
1367
+ "eval_runtime": 270.9737,
1368
+ "eval_samples_per_second": 41.377,
1369
+ "eval_steps_per_second": 0.162,
1370
+ "step": 1975
1371
+ },
1372
+ {
1373
+ "epoch": 20.05,
1374
+ "learning_rate": 1.8140589569160997e-05,
1375
+ "loss": 0.5541,
1376
+ "step": 1980
1377
+ },
1378
+ {
1379
+ "epoch": 20.15,
1380
+ "learning_rate": 1.7951625094482237e-05,
1381
+ "loss": 0.5693,
1382
+ "step": 1990
1383
+ },
1384
+ {
1385
+ "epoch": 20.25,
1386
+ "learning_rate": 1.776266061980348e-05,
1387
+ "loss": 0.5652,
1388
+ "step": 2000
1389
+ },
1390
+ {
1391
+ "epoch": 20.35,
1392
+ "learning_rate": 1.757369614512472e-05,
1393
+ "loss": 0.5579,
1394
+ "step": 2010
1395
+ },
1396
+ {
1397
+ "epoch": 20.46,
1398
+ "learning_rate": 1.7384731670445956e-05,
1399
+ "loss": 0.5597,
1400
+ "step": 2020
1401
+ },
1402
+ {
1403
+ "epoch": 20.56,
1404
+ "learning_rate": 1.7195767195767195e-05,
1405
+ "loss": 0.5674,
1406
+ "step": 2030
1407
+ },
1408
+ {
1409
+ "epoch": 20.66,
1410
+ "learning_rate": 1.7006802721088435e-05,
1411
+ "loss": 0.5634,
1412
+ "step": 2040
1413
+ },
1414
+ {
1415
+ "epoch": 20.76,
1416
+ "learning_rate": 1.6817838246409674e-05,
1417
+ "loss": 0.567,
1418
+ "step": 2050
1419
+ },
1420
+ {
1421
+ "epoch": 20.86,
1422
+ "learning_rate": 1.6628873771730914e-05,
1423
+ "loss": 0.5571,
1424
+ "step": 2060
1425
+ },
1426
+ {
1427
+ "epoch": 20.96,
1428
+ "learning_rate": 1.6439909297052157e-05,
1429
+ "loss": 0.5546,
1430
+ "step": 2070
1431
+ },
1432
+ {
1433
+ "epoch": 20.99,
1434
+ "eval_accuracy": 0.7325187299322155,
1435
+ "eval_loss": 0.5561436414718628,
1436
+ "eval_runtime": 269.5801,
1437
+ "eval_samples_per_second": 41.591,
1438
+ "eval_steps_per_second": 0.163,
1439
+ "step": 2073
1440
+ },
1441
+ {
1442
+ "epoch": 21.06,
1443
+ "learning_rate": 1.6250944822373397e-05,
1444
+ "loss": 0.5589,
1445
+ "step": 2080
1446
+ },
1447
+ {
1448
+ "epoch": 21.16,
1449
+ "learning_rate": 1.6061980347694633e-05,
1450
+ "loss": 0.5658,
1451
+ "step": 2090
1452
+ },
1453
+ {
1454
+ "epoch": 21.27,
1455
+ "learning_rate": 1.5873015873015872e-05,
1456
+ "loss": 0.5596,
1457
+ "step": 2100
1458
+ },
1459
+ {
1460
+ "epoch": 21.37,
1461
+ "learning_rate": 1.5684051398337112e-05,
1462
+ "loss": 0.5618,
1463
+ "step": 2110
1464
+ },
1465
+ {
1466
+ "epoch": 21.47,
1467
+ "learning_rate": 1.549508692365835e-05,
1468
+ "loss": 0.5624,
1469
+ "step": 2120
1470
+ },
1471
+ {
1472
+ "epoch": 21.57,
1473
+ "learning_rate": 1.5306122448979594e-05,
1474
+ "loss": 0.5619,
1475
+ "step": 2130
1476
+ },
1477
+ {
1478
+ "epoch": 21.67,
1479
+ "learning_rate": 1.5117157974300832e-05,
1480
+ "loss": 0.5554,
1481
+ "step": 2140
1482
+ },
1483
+ {
1484
+ "epoch": 21.77,
1485
+ "learning_rate": 1.4928193499622074e-05,
1486
+ "loss": 0.5539,
1487
+ "step": 2150
1488
+ },
1489
+ {
1490
+ "epoch": 21.87,
1491
+ "learning_rate": 1.473922902494331e-05,
1492
+ "loss": 0.5657,
1493
+ "step": 2160
1494
+ },
1495
+ {
1496
+ "epoch": 21.97,
1497
+ "learning_rate": 1.455026455026455e-05,
1498
+ "loss": 0.5579,
1499
+ "step": 2170
1500
+ },
1501
+ {
1502
+ "epoch": 21.99,
1503
+ "eval_accuracy": 0.7314484480913307,
1504
+ "eval_loss": 0.5537222623825073,
1505
+ "eval_runtime": 267.4411,
1506
+ "eval_samples_per_second": 41.923,
1507
+ "eval_steps_per_second": 0.165,
1508
+ "step": 2172
1509
+ },
1510
+ {
1511
+ "epoch": 22.08,
1512
+ "learning_rate": 1.436130007558579e-05,
1513
+ "loss": 0.554,
1514
+ "step": 2180
1515
+ },
1516
+ {
1517
+ "epoch": 22.18,
1518
+ "learning_rate": 1.417233560090703e-05,
1519
+ "loss": 0.569,
1520
+ "step": 2190
1521
+ },
1522
+ {
1523
+ "epoch": 22.28,
1524
+ "learning_rate": 1.398337112622827e-05,
1525
+ "loss": 0.5528,
1526
+ "step": 2200
1527
+ },
1528
+ {
1529
+ "epoch": 22.38,
1530
+ "learning_rate": 1.379440665154951e-05,
1531
+ "loss": 0.5649,
1532
+ "step": 2210
1533
+ },
1534
+ {
1535
+ "epoch": 22.48,
1536
+ "learning_rate": 1.360544217687075e-05,
1537
+ "loss": 0.5586,
1538
+ "step": 2220
1539
+ },
1540
+ {
1541
+ "epoch": 22.58,
1542
+ "learning_rate": 1.3416477702191987e-05,
1543
+ "loss": 0.5606,
1544
+ "step": 2230
1545
+ },
1546
+ {
1547
+ "epoch": 22.68,
1548
+ "learning_rate": 1.3227513227513228e-05,
1549
+ "loss": 0.5551,
1550
+ "step": 2240
1551
+ },
1552
+ {
1553
+ "epoch": 22.78,
1554
+ "learning_rate": 1.3038548752834468e-05,
1555
+ "loss": 0.5588,
1556
+ "step": 2250
1557
+ },
1558
+ {
1559
+ "epoch": 22.89,
1560
+ "learning_rate": 1.2849584278155707e-05,
1561
+ "loss": 0.5591,
1562
+ "step": 2260
1563
+ },
1564
+ {
1565
+ "epoch": 22.99,
1566
+ "learning_rate": 1.2660619803476947e-05,
1567
+ "loss": 0.5604,
1568
+ "step": 2270
1569
+ },
1570
+ {
1571
+ "epoch": 23.0,
1572
+ "eval_accuracy": 0.72904031394934,
1573
+ "eval_loss": 0.5545207262039185,
1574
+ "eval_runtime": 270.2678,
1575
+ "eval_samples_per_second": 41.485,
1576
+ "eval_steps_per_second": 0.163,
1577
+ "step": 2271
1578
+ },
1579
+ {
1580
+ "epoch": 23.09,
1581
+ "learning_rate": 1.2471655328798186e-05,
1582
+ "loss": 0.5588,
1583
+ "step": 2280
1584
+ },
1585
+ {
1586
+ "epoch": 23.19,
1587
+ "learning_rate": 1.2282690854119426e-05,
1588
+ "loss": 0.5499,
1589
+ "step": 2290
1590
+ },
1591
+ {
1592
+ "epoch": 23.29,
1593
+ "learning_rate": 1.2093726379440666e-05,
1594
+ "loss": 0.5495,
1595
+ "step": 2300
1596
+ },
1597
+ {
1598
+ "epoch": 23.39,
1599
+ "learning_rate": 1.1904761904761905e-05,
1600
+ "loss": 0.5571,
1601
+ "step": 2310
1602
+ },
1603
+ {
1604
+ "epoch": 23.49,
1605
+ "learning_rate": 1.1715797430083145e-05,
1606
+ "loss": 0.5545,
1607
+ "step": 2320
1608
+ },
1609
+ {
1610
+ "epoch": 23.59,
1611
+ "learning_rate": 1.1526832955404384e-05,
1612
+ "loss": 0.5625,
1613
+ "step": 2330
1614
+ },
1615
+ {
1616
+ "epoch": 23.7,
1617
+ "learning_rate": 1.1337868480725626e-05,
1618
+ "loss": 0.5573,
1619
+ "step": 2340
1620
+ },
1621
+ {
1622
+ "epoch": 23.8,
1623
+ "learning_rate": 1.1148904006046863e-05,
1624
+ "loss": 0.5623,
1625
+ "step": 2350
1626
+ },
1627
+ {
1628
+ "epoch": 23.9,
1629
+ "learning_rate": 1.0959939531368103e-05,
1630
+ "loss": 0.5527,
1631
+ "step": 2360
1632
+ },
1633
+ {
1634
+ "epoch": 24.0,
1635
+ "learning_rate": 1.0770975056689343e-05,
1636
+ "loss": 0.5563,
1637
+ "step": 2370
1638
+ },
1639
+ {
1640
+ "epoch": 24.0,
1641
+ "eval_accuracy": 0.7287727434891188,
1642
+ "eval_loss": 0.5590741634368896,
1643
+ "eval_runtime": 269.4039,
1644
+ "eval_samples_per_second": 41.618,
1645
+ "eval_steps_per_second": 0.163,
1646
+ "step": 2370
1647
+ },
1648
+ {
1649
+ "epoch": 24.1,
1650
+ "learning_rate": 1.0582010582010582e-05,
1651
+ "loss": 0.5586,
1652
+ "step": 2380
1653
+ },
1654
+ {
1655
+ "epoch": 24.2,
1656
+ "learning_rate": 1.0393046107331822e-05,
1657
+ "loss": 0.5424,
1658
+ "step": 2390
1659
+ },
1660
+ {
1661
+ "epoch": 24.3,
1662
+ "learning_rate": 1.0204081632653061e-05,
1663
+ "loss": 0.5598,
1664
+ "step": 2400
1665
+ },
1666
+ {
1667
+ "epoch": 24.41,
1668
+ "learning_rate": 1.0015117157974303e-05,
1669
+ "loss": 0.5528,
1670
+ "step": 2410
1671
+ },
1672
+ {
1673
+ "epoch": 24.51,
1674
+ "learning_rate": 9.82615268329554e-06,
1675
+ "loss": 0.5521,
1676
+ "step": 2420
1677
+ },
1678
+ {
1679
+ "epoch": 24.61,
1680
+ "learning_rate": 9.63718820861678e-06,
1681
+ "loss": 0.5524,
1682
+ "step": 2430
1683
+ },
1684
+ {
1685
+ "epoch": 24.71,
1686
+ "learning_rate": 9.448223733938021e-06,
1687
+ "loss": 0.5602,
1688
+ "step": 2440
1689
+ },
1690
+ {
1691
+ "epoch": 24.81,
1692
+ "learning_rate": 9.259259259259259e-06,
1693
+ "loss": 0.5608,
1694
+ "step": 2450
1695
+ },
1696
+ {
1697
+ "epoch": 24.91,
1698
+ "learning_rate": 9.070294784580499e-06,
1699
+ "loss": 0.5634,
1700
+ "step": 2460
1701
+ },
1702
+ {
1703
+ "epoch": 24.99,
1704
+ "eval_accuracy": 0.7307349268640742,
1705
+ "eval_loss": 0.5545657277107239,
1706
+ "eval_runtime": 273.5576,
1707
+ "eval_samples_per_second": 40.986,
1708
+ "eval_steps_per_second": 0.161,
1709
+ "step": 2468
1710
+ },
1711
+ {
1712
+ "epoch": 25.01,
1713
+ "learning_rate": 8.88133030990174e-06,
1714
+ "loss": 0.5516,
1715
+ "step": 2470
1716
+ },
1717
+ {
1718
+ "epoch": 25.11,
1719
+ "learning_rate": 8.692365835222978e-06,
1720
+ "loss": 0.5489,
1721
+ "step": 2480
1722
+ },
1723
+ {
1724
+ "epoch": 25.22,
1725
+ "learning_rate": 8.503401360544217e-06,
1726
+ "loss": 0.5562,
1727
+ "step": 2490
1728
+ },
1729
+ {
1730
+ "epoch": 25.32,
1731
+ "learning_rate": 8.314436885865457e-06,
1732
+ "loss": 0.5498,
1733
+ "step": 2500
1734
+ },
1735
+ {
1736
+ "epoch": 25.42,
1737
+ "learning_rate": 8.125472411186698e-06,
1738
+ "loss": 0.5578,
1739
+ "step": 2510
1740
+ },
1741
+ {
1742
+ "epoch": 25.52,
1743
+ "learning_rate": 7.936507936507936e-06,
1744
+ "loss": 0.551,
1745
+ "step": 2520
1746
+ },
1747
+ {
1748
+ "epoch": 25.62,
1749
+ "learning_rate": 7.747543461829176e-06,
1750
+ "loss": 0.5572,
1751
+ "step": 2530
1752
+ },
1753
+ {
1754
+ "epoch": 25.72,
1755
+ "learning_rate": 7.558578987150416e-06,
1756
+ "loss": 0.5523,
1757
+ "step": 2540
1758
+ },
1759
+ {
1760
+ "epoch": 25.82,
1761
+ "learning_rate": 7.369614512471655e-06,
1762
+ "loss": 0.5525,
1763
+ "step": 2550
1764
+ },
1765
+ {
1766
+ "epoch": 25.92,
1767
+ "learning_rate": 7.180650037792895e-06,
1768
+ "loss": 0.5563,
1769
+ "step": 2560
1770
+ },
1771
+ {
1772
+ "epoch": 25.99,
1773
+ "eval_accuracy": 0.7302889760970389,
1774
+ "eval_loss": 0.5556601285934448,
1775
+ "eval_runtime": 270.2761,
1776
+ "eval_samples_per_second": 41.484,
1777
+ "eval_steps_per_second": 0.163,
1778
+ "step": 2567
1779
+ },
1780
+ {
1781
+ "epoch": 26.03,
1782
+ "learning_rate": 6.991685563114135e-06,
1783
+ "loss": 0.5607,
1784
+ "step": 2570
1785
+ },
1786
+ {
1787
+ "epoch": 26.13,
1788
+ "learning_rate": 6.802721088435375e-06,
1789
+ "loss": 0.5555,
1790
+ "step": 2580
1791
+ },
1792
+ {
1793
+ "epoch": 26.23,
1794
+ "learning_rate": 6.613756613756614e-06,
1795
+ "loss": 0.5527,
1796
+ "step": 2590
1797
+ },
1798
+ {
1799
+ "epoch": 26.33,
1800
+ "learning_rate": 6.424792139077854e-06,
1801
+ "loss": 0.5549,
1802
+ "step": 2600
1803
+ },
1804
+ {
1805
+ "epoch": 26.43,
1806
+ "learning_rate": 6.235827664399093e-06,
1807
+ "loss": 0.5435,
1808
+ "step": 2610
1809
+ },
1810
+ {
1811
+ "epoch": 26.53,
1812
+ "learning_rate": 6.046863189720333e-06,
1813
+ "loss": 0.5511,
1814
+ "step": 2620
1815
+ },
1816
+ {
1817
+ "epoch": 26.63,
1818
+ "learning_rate": 5.857898715041572e-06,
1819
+ "loss": 0.5629,
1820
+ "step": 2630
1821
+ },
1822
+ {
1823
+ "epoch": 26.73,
1824
+ "learning_rate": 5.668934240362813e-06,
1825
+ "loss": 0.5527,
1826
+ "step": 2640
1827
+ },
1828
+ {
1829
+ "epoch": 26.84,
1830
+ "learning_rate": 5.4799697656840515e-06,
1831
+ "loss": 0.5541,
1832
+ "step": 2650
1833
+ },
1834
+ {
1835
+ "epoch": 26.94,
1836
+ "learning_rate": 5.291005291005291e-06,
1837
+ "loss": 0.5563,
1838
+ "step": 2660
1839
+ },
1840
+ {
1841
+ "epoch": 27.0,
1842
+ "eval_accuracy": 0.727613271494827,
1843
+ "eval_loss": 0.5571199655532837,
1844
+ "eval_runtime": 269.8955,
1845
+ "eval_samples_per_second": 41.542,
1846
+ "eval_steps_per_second": 0.163,
1847
+ "step": 2666
1848
+ },
1849
+ {
1850
+ "epoch": 27.04,
1851
+ "learning_rate": 5.102040816326531e-06,
1852
+ "loss": 0.553,
1853
+ "step": 2670
1854
+ },
1855
+ {
1856
+ "epoch": 27.14,
1857
+ "learning_rate": 4.91307634164777e-06,
1858
+ "loss": 0.5502,
1859
+ "step": 2680
1860
+ },
1861
+ {
1862
+ "epoch": 27.24,
1863
+ "learning_rate": 4.724111866969011e-06,
1864
+ "loss": 0.55,
1865
+ "step": 2690
1866
+ },
1867
+ {
1868
+ "epoch": 27.34,
1869
+ "learning_rate": 4.535147392290249e-06,
1870
+ "loss": 0.5527,
1871
+ "step": 2700
1872
+ },
1873
+ {
1874
+ "epoch": 27.44,
1875
+ "learning_rate": 4.346182917611489e-06,
1876
+ "loss": 0.5462,
1877
+ "step": 2710
1878
+ },
1879
+ {
1880
+ "epoch": 27.54,
1881
+ "learning_rate": 4.1572184429327285e-06,
1882
+ "loss": 0.5502,
1883
+ "step": 2720
1884
+ },
1885
+ {
1886
+ "epoch": 27.65,
1887
+ "learning_rate": 3.968253968253968e-06,
1888
+ "loss": 0.5533,
1889
+ "step": 2730
1890
+ },
1891
+ {
1892
+ "epoch": 27.75,
1893
+ "learning_rate": 3.779289493575208e-06,
1894
+ "loss": 0.5585,
1895
+ "step": 2740
1896
+ },
1897
+ {
1898
+ "epoch": 27.85,
1899
+ "learning_rate": 3.5903250188964477e-06,
1900
+ "loss": 0.556,
1901
+ "step": 2750
1902
+ },
1903
+ {
1904
+ "epoch": 27.95,
1905
+ "learning_rate": 3.4013605442176877e-06,
1906
+ "loss": 0.5544,
1907
+ "step": 2760
1908
+ },
1909
+ {
1910
+ "epoch": 28.0,
1911
+ "eval_accuracy": 0.7298430253300036,
1912
+ "eval_loss": 0.5550753474235535,
1913
+ "eval_runtime": 273.4563,
1914
+ "eval_samples_per_second": 41.001,
1915
+ "eval_steps_per_second": 0.161,
1916
+ "step": 2765
1917
+ },
1918
+ {
1919
+ "epoch": 28.05,
1920
+ "learning_rate": 3.212396069538927e-06,
1921
+ "loss": 0.553,
1922
+ "step": 2770
1923
+ },
1924
+ {
1925
+ "epoch": 28.15,
1926
+ "learning_rate": 3.0234315948601664e-06,
1927
+ "loss": 0.5534,
1928
+ "step": 2780
1929
+ },
1930
+ {
1931
+ "epoch": 28.25,
1932
+ "learning_rate": 2.8344671201814064e-06,
1933
+ "loss": 0.5488,
1934
+ "step": 2790
1935
+ },
1936
+ {
1937
+ "epoch": 28.35,
1938
+ "learning_rate": 2.6455026455026455e-06,
1939
+ "loss": 0.5553,
1940
+ "step": 2800
1941
+ },
1942
+ {
1943
+ "epoch": 28.46,
1944
+ "learning_rate": 2.456538170823885e-06,
1945
+ "loss": 0.5503,
1946
+ "step": 2810
1947
+ },
1948
+ {
1949
+ "epoch": 28.56,
1950
+ "learning_rate": 2.2675736961451247e-06,
1951
+ "loss": 0.5493,
1952
+ "step": 2820
1953
+ },
1954
+ {
1955
+ "epoch": 28.66,
1956
+ "learning_rate": 2.0786092214663643e-06,
1957
+ "loss": 0.5474,
1958
+ "step": 2830
1959
+ },
1960
+ {
1961
+ "epoch": 28.76,
1962
+ "learning_rate": 1.889644746787604e-06,
1963
+ "loss": 0.5477,
1964
+ "step": 2840
1965
+ },
1966
+ {
1967
+ "epoch": 28.86,
1968
+ "learning_rate": 1.7006802721088438e-06,
1969
+ "loss": 0.5565,
1970
+ "step": 2850
1971
+ },
1972
+ {
1973
+ "epoch": 28.96,
1974
+ "learning_rate": 1.5117157974300832e-06,
1975
+ "loss": 0.5491,
1976
+ "step": 2860
1977
+ },
1978
+ {
1979
+ "epoch": 28.99,
1980
+ "eval_accuracy": 0.7282376025686764,
1981
+ "eval_loss": 0.5596103668212891,
1982
+ "eval_runtime": 270.7488,
1983
+ "eval_samples_per_second": 41.411,
1984
+ "eval_steps_per_second": 0.163,
1985
+ "step": 2863
1986
+ },
1987
+ {
1988
+ "epoch": 29.06,
1989
+ "learning_rate": 1.3227513227513228e-06,
1990
+ "loss": 0.5508,
1991
+ "step": 2870
1992
+ },
1993
+ {
1994
+ "epoch": 29.16,
1995
+ "learning_rate": 1.1337868480725623e-06,
1996
+ "loss": 0.5513,
1997
+ "step": 2880
1998
+ },
1999
+ {
2000
+ "epoch": 29.27,
2001
+ "learning_rate": 9.44822373393802e-07,
2002
+ "loss": 0.5517,
2003
+ "step": 2890
2004
+ },
2005
+ {
2006
+ "epoch": 29.37,
2007
+ "learning_rate": 7.558578987150416e-07,
2008
+ "loss": 0.5575,
2009
+ "step": 2900
2010
+ },
2011
+ {
2012
+ "epoch": 29.47,
2013
+ "learning_rate": 5.668934240362812e-07,
2014
+ "loss": 0.5519,
2015
+ "step": 2910
2016
+ },
2017
+ {
2018
+ "epoch": 29.57,
2019
+ "learning_rate": 3.779289493575208e-07,
2020
+ "loss": 0.5549,
2021
+ "step": 2920
2022
+ },
2023
+ {
2024
+ "epoch": 29.67,
2025
+ "learning_rate": 1.889644746787604e-07,
2026
+ "loss": 0.5478,
2027
+ "step": 2930
2028
+ },
2029
+ {
2030
+ "epoch": 29.77,
2031
+ "learning_rate": 0.0,
2032
+ "loss": 0.5461,
2033
+ "step": 2940
2034
+ },
2035
+ {
2036
+ "epoch": 29.77,
2037
+ "eval_accuracy": 0.7302889760970389,
2038
+ "eval_loss": 0.5574254989624023,
2039
+ "eval_runtime": 267.0764,
2040
+ "eval_samples_per_second": 41.98,
2041
+ "eval_steps_per_second": 0.165,
2042
+ "step": 2940
2043
  },
2044
  {
2045
+ "epoch": 29.77,
2046
+ "step": 2940,
2047
+ "total_flos": 7.46776315809736e+19,
2048
+ "train_loss": 0.5755378539870385,
2049
+ "train_runtime": 78104.0618,
2050
+ "train_samples_per_second": 38.759,
2051
+ "train_steps_per_second": 0.038
2052
  }
2053
  ],
2054
+ "max_steps": 2940,
2055
+ "num_train_epochs": 30,
2056
+ "total_flos": 7.46776315809736e+19,
2057
  "trial_name": null,
2058
  "trial_params": null
2059
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:266e3e6d97ad18f664714934dca814aeea4df1d57ce411947f3123bd549aaeba
3
  size 3963
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:beface09f1d17a995e489045bdb8de0bed4f6ad59123ba35a0fd63ba0c890778
3
  size 3963