Commit ·
d3dcda9
1
Parent(s): 722e715
End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +218 -71
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second": 4.
|
| 8 |
-
"total_flos":
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.98,
|
| 3 |
+
"eval_accuracy": 0.9828042328042328,
|
| 4 |
+
"eval_loss": 0.06841638684272766,
|
| 5 |
+
"eval_runtime": 5.801,
|
| 6 |
+
"eval_samples_per_second": 130.321,
|
| 7 |
+
"eval_steps_per_second": 4.137,
|
| 8 |
+
"total_flos": 1.0716320475504968e+18,
|
| 9 |
+
"train_loss": 0.24182906033414783,
|
| 10 |
+
"train_runtime": 827.7733,
|
| 11 |
+
"train_samples_per_second": 52.188,
|
| 12 |
+
"train_steps_per_second": 0.399
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second": 4.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.98,
|
| 3 |
+
"eval_accuracy": 0.9828042328042328,
|
| 4 |
+
"eval_loss": 0.06841638684272766,
|
| 5 |
+
"eval_runtime": 5.801,
|
| 6 |
+
"eval_samples_per_second": 130.321,
|
| 7 |
+
"eval_steps_per_second": 4.137
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.98,
|
| 3 |
+
"total_flos": 1.0716320475504968e+18,
|
| 4 |
+
"train_loss": 0.24182906033414783,
|
| 5 |
+
"train_runtime": 827.7733,
|
| 6 |
+
"train_samples_per_second": 52.188,
|
| 7 |
+
"train_steps_per_second": 0.399
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,166 +1,313 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.3,
|
| 12 |
-
"learning_rate":
|
| 13 |
-
"loss": 2.
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.59,
|
| 18 |
-
"learning_rate":
|
| 19 |
-
"loss": 1.
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.89,
|
| 24 |
-
"learning_rate": 4.
|
| 25 |
-
"loss":
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.98,
|
| 30 |
-
"eval_accuracy": 0.
|
| 31 |
-
"eval_loss": 0.
|
| 32 |
-
"eval_runtime": 4.
|
| 33 |
-
"eval_samples_per_second":
|
| 34 |
-
"eval_steps_per_second":
|
| 35 |
"step": 33
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"epoch": 1.21,
|
| 39 |
-
"learning_rate": 4.
|
| 40 |
-
"loss": 0.
|
| 41 |
"step": 40
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"epoch": 1.5,
|
| 45 |
-
"learning_rate":
|
| 46 |
-
"loss": 0.
|
| 47 |
"step": 50
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 1.8,
|
| 51 |
-
"learning_rate":
|
| 52 |
-
"loss": 0.
|
| 53 |
"step": 60
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 1.98,
|
| 57 |
-
"eval_accuracy": 0.
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_runtime": 4.
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second": 4.
|
| 62 |
"step": 66
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.12,
|
| 66 |
-
"learning_rate":
|
| 67 |
-
"loss": 0.
|
| 68 |
"step": 70
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 2.41,
|
| 72 |
-
"learning_rate":
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 2.71,
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 90
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 2.98,
|
| 84 |
-
"eval_accuracy": 0.
|
| 85 |
-
"eval_loss": 0.
|
| 86 |
-
"eval_runtime": 4.
|
| 87 |
-
"eval_samples_per_second":
|
| 88 |
-
"eval_steps_per_second":
|
| 89 |
"step": 99
|
| 90 |
},
|
| 91 |
{
|
| 92 |
"epoch": 3.03,
|
| 93 |
-
"learning_rate":
|
| 94 |
-
"loss": 0.
|
| 95 |
"step": 100
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 3.33,
|
| 99 |
-
"learning_rate":
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 110
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 3.62,
|
| 105 |
-
"learning_rate":
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 120
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 3.92,
|
| 111 |
-
"learning_rate":
|
| 112 |
-
"loss": 0.
|
| 113 |
"step": 130
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 3.98,
|
| 117 |
-
"eval_accuracy": 0.
|
| 118 |
-
"eval_loss": 0.
|
| 119 |
-
"eval_runtime":
|
| 120 |
-
"eval_samples_per_second":
|
| 121 |
-
"eval_steps_per_second":
|
| 122 |
"step": 132
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 4.24,
|
| 126 |
-
"learning_rate":
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 140
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 4.53,
|
| 132 |
-
"learning_rate":
|
| 133 |
-
"loss": 0.
|
| 134 |
"step": 150
|
| 135 |
},
|
| 136 |
{
|
| 137 |
"epoch": 4.83,
|
| 138 |
-
"learning_rate":
|
| 139 |
-
"loss": 0.
|
| 140 |
"step": 160
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 4.98,
|
| 144 |
-
"eval_accuracy": 0.
|
| 145 |
-
"eval_loss": 0.
|
| 146 |
-
"eval_runtime":
|
| 147 |
-
"eval_samples_per_second":
|
| 148 |
-
"eval_steps_per_second":
|
| 149 |
"step": 165
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch":
|
| 153 |
-
"
|
| 154 |
-
"
|
| 155 |
-
"
|
| 156 |
-
|
| 157 |
-
|
| 158 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
}
|
| 160 |
],
|
| 161 |
-
"max_steps":
|
| 162 |
-
"num_train_epochs":
|
| 163 |
-
"total_flos":
|
| 164 |
"trial_name": null,
|
| 165 |
"trial_params": null
|
| 166 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9828042328042328,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-297",
|
| 4 |
+
"epoch": 9.977777777777778,
|
| 5 |
+
"global_step": 330,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.3,
|
| 12 |
+
"learning_rate": 1.5151515151515153e-05,
|
| 13 |
+
"loss": 2.3574,
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.59,
|
| 18 |
+
"learning_rate": 3.0303030303030306e-05,
|
| 19 |
+
"loss": 1.981,
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.89,
|
| 24 |
+
"learning_rate": 4.545454545454546e-05,
|
| 25 |
+
"loss": 1.2075,
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.98,
|
| 30 |
+
"eval_accuracy": 0.8518518518518519,
|
| 31 |
+
"eval_loss": 0.5666351914405823,
|
| 32 |
+
"eval_runtime": 4.8236,
|
| 33 |
+
"eval_samples_per_second": 156.731,
|
| 34 |
+
"eval_steps_per_second": 4.976,
|
| 35 |
"step": 33
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"epoch": 1.21,
|
| 39 |
+
"learning_rate": 4.882154882154882e-05,
|
| 40 |
+
"loss": 0.5066,
|
| 41 |
"step": 40
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"epoch": 1.5,
|
| 45 |
+
"learning_rate": 4.713804713804714e-05,
|
| 46 |
+
"loss": 0.2643,
|
| 47 |
"step": 50
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 1.8,
|
| 51 |
+
"learning_rate": 4.545454545454546e-05,
|
| 52 |
+
"loss": 0.2022,
|
| 53 |
"step": 60
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 1.98,
|
| 57 |
+
"eval_accuracy": 0.9126984126984127,
|
| 58 |
+
"eval_loss": 0.252269446849823,
|
| 59 |
+
"eval_runtime": 4.9657,
|
| 60 |
+
"eval_samples_per_second": 152.245,
|
| 61 |
+
"eval_steps_per_second": 4.833,
|
| 62 |
"step": 66
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.12,
|
| 66 |
+
"learning_rate": 4.3771043771043774e-05,
|
| 67 |
+
"loss": 0.1839,
|
| 68 |
"step": 70
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 2.41,
|
| 72 |
+
"learning_rate": 4.208754208754209e-05,
|
| 73 |
+
"loss": 0.1368,
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 2.71,
|
| 78 |
+
"learning_rate": 4.0404040404040405e-05,
|
| 79 |
+
"loss": 0.1206,
|
| 80 |
"step": 90
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 2.98,
|
| 84 |
+
"eval_accuracy": 0.9497354497354498,
|
| 85 |
+
"eval_loss": 0.15757465362548828,
|
| 86 |
+
"eval_runtime": 4.8701,
|
| 87 |
+
"eval_samples_per_second": 155.233,
|
| 88 |
+
"eval_steps_per_second": 4.928,
|
| 89 |
"step": 99
|
| 90 |
},
|
| 91 |
{
|
| 92 |
"epoch": 3.03,
|
| 93 |
+
"learning_rate": 3.872053872053872e-05,
|
| 94 |
+
"loss": 0.105,
|
| 95 |
"step": 100
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 3.33,
|
| 99 |
+
"learning_rate": 3.7037037037037037e-05,
|
| 100 |
+
"loss": 0.0922,
|
| 101 |
"step": 110
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 3.62,
|
| 105 |
+
"learning_rate": 3.535353535353535e-05,
|
| 106 |
+
"loss": 0.0925,
|
| 107 |
"step": 120
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 3.92,
|
| 111 |
+
"learning_rate": 3.3670033670033675e-05,
|
| 112 |
+
"loss": 0.0897,
|
| 113 |
"step": 130
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 3.98,
|
| 117 |
+
"eval_accuracy": 0.9563492063492064,
|
| 118 |
+
"eval_loss": 0.142096146941185,
|
| 119 |
+
"eval_runtime": 6.3572,
|
| 120 |
+
"eval_samples_per_second": 118.921,
|
| 121 |
+
"eval_steps_per_second": 3.775,
|
| 122 |
"step": 132
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 4.24,
|
| 126 |
+
"learning_rate": 3.198653198653199e-05,
|
| 127 |
+
"loss": 0.0704,
|
| 128 |
"step": 140
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 4.53,
|
| 132 |
+
"learning_rate": 3.0303030303030306e-05,
|
| 133 |
+
"loss": 0.0511,
|
| 134 |
"step": 150
|
| 135 |
},
|
| 136 |
{
|
| 137 |
"epoch": 4.83,
|
| 138 |
+
"learning_rate": 2.8619528619528618e-05,
|
| 139 |
+
"loss": 0.0564,
|
| 140 |
"step": 160
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 4.98,
|
| 144 |
+
"eval_accuracy": 0.9656084656084656,
|
| 145 |
+
"eval_loss": 0.11138752847909927,
|
| 146 |
+
"eval_runtime": 5.5251,
|
| 147 |
+
"eval_samples_per_second": 136.831,
|
| 148 |
+
"eval_steps_per_second": 4.344,
|
| 149 |
"step": 165
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 5.15,
|
| 153 |
+
"learning_rate": 2.6936026936026937e-05,
|
| 154 |
+
"loss": 0.0559,
|
| 155 |
+
"step": 170
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 5.44,
|
| 159 |
+
"learning_rate": 2.5252525252525256e-05,
|
| 160 |
+
"loss": 0.0468,
|
| 161 |
+
"step": 180
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 5.74,
|
| 165 |
+
"learning_rate": 2.356902356902357e-05,
|
| 166 |
+
"loss": 0.0475,
|
| 167 |
+
"step": 190
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 5.98,
|
| 171 |
+
"eval_accuracy": 0.9814814814814815,
|
| 172 |
+
"eval_loss": 0.06781856715679169,
|
| 173 |
+
"eval_runtime": 5.3143,
|
| 174 |
+
"eval_samples_per_second": 142.259,
|
| 175 |
+
"eval_steps_per_second": 4.516,
|
| 176 |
+
"step": 198
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 6.06,
|
| 180 |
+
"learning_rate": 2.1885521885521887e-05,
|
| 181 |
+
"loss": 0.0514,
|
| 182 |
+
"step": 200
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 6.36,
|
| 186 |
+
"learning_rate": 2.0202020202020203e-05,
|
| 187 |
+
"loss": 0.0237,
|
| 188 |
+
"step": 210
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 6.65,
|
| 192 |
+
"learning_rate": 1.8518518518518518e-05,
|
| 193 |
+
"loss": 0.0255,
|
| 194 |
+
"step": 220
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 6.95,
|
| 198 |
+
"learning_rate": 1.6835016835016837e-05,
|
| 199 |
+
"loss": 0.0332,
|
| 200 |
+
"step": 230
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.98,
|
| 204 |
+
"eval_accuracy": 0.9775132275132276,
|
| 205 |
+
"eval_loss": 0.08194286376237869,
|
| 206 |
+
"eval_runtime": 5.0836,
|
| 207 |
+
"eval_samples_per_second": 148.714,
|
| 208 |
+
"eval_steps_per_second": 4.721,
|
| 209 |
+
"step": 231
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 7.27,
|
| 213 |
+
"learning_rate": 1.5151515151515153e-05,
|
| 214 |
+
"loss": 0.0263,
|
| 215 |
+
"step": 240
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 7.56,
|
| 219 |
+
"learning_rate": 1.3468013468013468e-05,
|
| 220 |
+
"loss": 0.0193,
|
| 221 |
+
"step": 250
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 7.86,
|
| 225 |
+
"learning_rate": 1.1784511784511786e-05,
|
| 226 |
+
"loss": 0.0234,
|
| 227 |
+
"step": 260
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 7.98,
|
| 231 |
+
"eval_accuracy": 0.9801587301587301,
|
| 232 |
+
"eval_loss": 0.06791768968105316,
|
| 233 |
+
"eval_runtime": 5.0567,
|
| 234 |
+
"eval_samples_per_second": 149.505,
|
| 235 |
+
"eval_steps_per_second": 4.746,
|
| 236 |
+
"step": 264
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 8.18,
|
| 240 |
+
"learning_rate": 1.0101010101010101e-05,
|
| 241 |
+
"loss": 0.0193,
|
| 242 |
+
"step": 270
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 8.47,
|
| 246 |
+
"learning_rate": 8.417508417508419e-06,
|
| 247 |
+
"loss": 0.0151,
|
| 248 |
+
"step": 280
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 8.77,
|
| 252 |
+
"learning_rate": 6.734006734006734e-06,
|
| 253 |
+
"loss": 0.0126,
|
| 254 |
+
"step": 290
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 8.98,
|
| 258 |
+
"eval_accuracy": 0.9828042328042328,
|
| 259 |
+
"eval_loss": 0.06841638684272766,
|
| 260 |
+
"eval_runtime": 4.8183,
|
| 261 |
+
"eval_samples_per_second": 156.902,
|
| 262 |
+
"eval_steps_per_second": 4.981,
|
| 263 |
+
"step": 297
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 9.09,
|
| 267 |
+
"learning_rate": 5.050505050505051e-06,
|
| 268 |
+
"loss": 0.0096,
|
| 269 |
+
"step": 300
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 9.39,
|
| 273 |
+
"learning_rate": 3.367003367003367e-06,
|
| 274 |
+
"loss": 0.0091,
|
| 275 |
+
"step": 310
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 9.68,
|
| 279 |
+
"learning_rate": 1.6835016835016836e-06,
|
| 280 |
+
"loss": 0.0136,
|
| 281 |
+
"step": 320
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 9.98,
|
| 285 |
+
"learning_rate": 0.0,
|
| 286 |
+
"loss": 0.0306,
|
| 287 |
+
"step": 330
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 9.98,
|
| 291 |
+
"eval_accuracy": 0.9814814814814815,
|
| 292 |
+
"eval_loss": 0.07185560464859009,
|
| 293 |
+
"eval_runtime": 6.808,
|
| 294 |
+
"eval_samples_per_second": 111.046,
|
| 295 |
+
"eval_steps_per_second": 3.525,
|
| 296 |
+
"step": 330
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.98,
|
| 300 |
+
"step": 330,
|
| 301 |
+
"total_flos": 1.0716320475504968e+18,
|
| 302 |
+
"train_loss": 0.24182906033414783,
|
| 303 |
+
"train_runtime": 827.7733,
|
| 304 |
+
"train_samples_per_second": 52.188,
|
| 305 |
+
"train_steps_per_second": 0.399
|
| 306 |
}
|
| 307 |
],
|
| 308 |
+
"max_steps": 330,
|
| 309 |
+
"num_train_epochs": 10,
|
| 310 |
+
"total_flos": 1.0716320475504968e+18,
|
| 311 |
"trial_name": null,
|
| 312 |
"trial_params": null
|
| 313 |
}
|