End of training
Browse files- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +619 -0
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.7303220035778175,
|
| 4 |
+
"eval_loss": 0.45461490750312805,
|
| 5 |
+
"eval_runtime": 32.8997,
|
| 6 |
+
"eval_samples_per_second": 135.928,
|
| 7 |
+
"eval_steps_per_second": 4.255,
|
| 8 |
+
"total_flos": 2.996656354433065e+18,
|
| 9 |
+
"train_loss": 0.6572925214301755,
|
| 10 |
+
"train_runtime": 1977.1874,
|
| 11 |
+
"train_samples_per_second": 61.064,
|
| 12 |
+
"train_steps_per_second": 0.476
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.7303220035778175,
|
| 4 |
+
"eval_loss": 0.45461490750312805,
|
| 5 |
+
"eval_runtime": 32.8997,
|
| 6 |
+
"eval_samples_per_second": 135.928,
|
| 7 |
+
"eval_steps_per_second": 4.255
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 2.996656354433065e+18,
|
| 4 |
+
"train_loss": 0.6572925214301755,
|
| 5 |
+
"train_runtime": 1977.1874,
|
| 6 |
+
"train_samples_per_second": 61.064,
|
| 7 |
+
"train_steps_per_second": 0.476
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,619 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7303220035778175,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-img_orientation/checkpoint-942",
|
| 4 |
+
"epoch": 2.9952305246422894,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 942,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03,
|
| 13 |
+
"learning_rate": 5.263157894736842e-06,
|
| 14 |
+
"loss": 1.4216,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.06,
|
| 19 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 20 |
+
"loss": 1.4124,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.1,
|
| 25 |
+
"learning_rate": 1.5789473684210526e-05,
|
| 26 |
+
"loss": 1.3621,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.13,
|
| 31 |
+
"learning_rate": 2.105263157894737e-05,
|
| 32 |
+
"loss": 1.3148,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.16,
|
| 37 |
+
"learning_rate": 2.6315789473684212e-05,
|
| 38 |
+
"loss": 1.2304,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.19,
|
| 43 |
+
"learning_rate": 3.157894736842105e-05,
|
| 44 |
+
"loss": 1.108,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.22,
|
| 49 |
+
"learning_rate": 3.6842105263157895e-05,
|
| 50 |
+
"loss": 1.0056,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.25,
|
| 55 |
+
"learning_rate": 4.210526315789474e-05,
|
| 56 |
+
"loss": 0.8832,
|
| 57 |
+
"step": 80
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.29,
|
| 61 |
+
"learning_rate": 4.736842105263158e-05,
|
| 62 |
+
"loss": 0.8584,
|
| 63 |
+
"step": 90
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.32,
|
| 67 |
+
"learning_rate": 4.970484061393152e-05,
|
| 68 |
+
"loss": 0.796,
|
| 69 |
+
"step": 100
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.35,
|
| 73 |
+
"learning_rate": 4.9114521841794566e-05,
|
| 74 |
+
"loss": 0.7721,
|
| 75 |
+
"step": 110
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.38,
|
| 79 |
+
"learning_rate": 4.852420306965762e-05,
|
| 80 |
+
"loss": 0.8128,
|
| 81 |
+
"step": 120
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.41,
|
| 85 |
+
"learning_rate": 4.793388429752066e-05,
|
| 86 |
+
"loss": 0.7318,
|
| 87 |
+
"step": 130
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.45,
|
| 91 |
+
"learning_rate": 4.734356552538371e-05,
|
| 92 |
+
"loss": 0.7374,
|
| 93 |
+
"step": 140
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.48,
|
| 97 |
+
"learning_rate": 4.675324675324675e-05,
|
| 98 |
+
"loss": 0.7078,
|
| 99 |
+
"step": 150
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.51,
|
| 103 |
+
"learning_rate": 4.61629279811098e-05,
|
| 104 |
+
"loss": 0.7153,
|
| 105 |
+
"step": 160
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.54,
|
| 109 |
+
"learning_rate": 4.557260920897285e-05,
|
| 110 |
+
"loss": 0.6978,
|
| 111 |
+
"step": 170
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.57,
|
| 115 |
+
"learning_rate": 4.4982290436835895e-05,
|
| 116 |
+
"loss": 0.6526,
|
| 117 |
+
"step": 180
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.6,
|
| 121 |
+
"learning_rate": 4.439197166469894e-05,
|
| 122 |
+
"loss": 0.6883,
|
| 123 |
+
"step": 190
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.64,
|
| 127 |
+
"learning_rate": 4.3801652892561984e-05,
|
| 128 |
+
"loss": 0.6491,
|
| 129 |
+
"step": 200
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.67,
|
| 133 |
+
"learning_rate": 4.321133412042503e-05,
|
| 134 |
+
"loss": 0.677,
|
| 135 |
+
"step": 210
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.7,
|
| 139 |
+
"learning_rate": 4.262101534828808e-05,
|
| 140 |
+
"loss": 0.6831,
|
| 141 |
+
"step": 220
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.73,
|
| 145 |
+
"learning_rate": 4.2030696576151126e-05,
|
| 146 |
+
"loss": 0.6765,
|
| 147 |
+
"step": 230
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.76,
|
| 151 |
+
"learning_rate": 4.144037780401417e-05,
|
| 152 |
+
"loss": 0.6734,
|
| 153 |
+
"step": 240
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.79,
|
| 157 |
+
"learning_rate": 4.0850059031877216e-05,
|
| 158 |
+
"loss": 0.6574,
|
| 159 |
+
"step": 250
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.83,
|
| 163 |
+
"learning_rate": 4.025974025974026e-05,
|
| 164 |
+
"loss": 0.6897,
|
| 165 |
+
"step": 260
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.86,
|
| 169 |
+
"learning_rate": 3.9669421487603306e-05,
|
| 170 |
+
"loss": 0.6886,
|
| 171 |
+
"step": 270
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.89,
|
| 175 |
+
"learning_rate": 3.907910271546635e-05,
|
| 176 |
+
"loss": 0.6466,
|
| 177 |
+
"step": 280
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.92,
|
| 181 |
+
"learning_rate": 3.8488783943329396e-05,
|
| 182 |
+
"loss": 0.6309,
|
| 183 |
+
"step": 290
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.95,
|
| 187 |
+
"learning_rate": 3.789846517119244e-05,
|
| 188 |
+
"loss": 0.6513,
|
| 189 |
+
"step": 300
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.99,
|
| 193 |
+
"learning_rate": 3.730814639905549e-05,
|
| 194 |
+
"loss": 0.6197,
|
| 195 |
+
"step": 310
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 1.0,
|
| 199 |
+
"eval_accuracy": 0.7122093023255814,
|
| 200 |
+
"eval_loss": 0.4981530010700226,
|
| 201 |
+
"eval_runtime": 32.8108,
|
| 202 |
+
"eval_samples_per_second": 136.296,
|
| 203 |
+
"eval_steps_per_second": 4.267,
|
| 204 |
+
"step": 314
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 1.02,
|
| 208 |
+
"learning_rate": 3.671782762691854e-05,
|
| 209 |
+
"loss": 0.6347,
|
| 210 |
+
"step": 320
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 1.05,
|
| 214 |
+
"learning_rate": 3.612750885478158e-05,
|
| 215 |
+
"loss": 0.6022,
|
| 216 |
+
"step": 330
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 1.08,
|
| 220 |
+
"learning_rate": 3.553719008264463e-05,
|
| 221 |
+
"loss": 0.6179,
|
| 222 |
+
"step": 340
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 1.11,
|
| 226 |
+
"learning_rate": 3.494687131050768e-05,
|
| 227 |
+
"loss": 0.6227,
|
| 228 |
+
"step": 350
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.14,
|
| 232 |
+
"learning_rate": 3.4356552538370724e-05,
|
| 233 |
+
"loss": 0.6276,
|
| 234 |
+
"step": 360
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.18,
|
| 238 |
+
"learning_rate": 3.376623376623377e-05,
|
| 239 |
+
"loss": 0.6085,
|
| 240 |
+
"step": 370
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.21,
|
| 244 |
+
"learning_rate": 3.3175914994096814e-05,
|
| 245 |
+
"loss": 0.6492,
|
| 246 |
+
"step": 380
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 1.24,
|
| 250 |
+
"learning_rate": 3.258559622195986e-05,
|
| 251 |
+
"loss": 0.6094,
|
| 252 |
+
"step": 390
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 1.27,
|
| 256 |
+
"learning_rate": 3.199527744982291e-05,
|
| 257 |
+
"loss": 0.609,
|
| 258 |
+
"step": 400
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 1.3,
|
| 262 |
+
"learning_rate": 3.1404958677685955e-05,
|
| 263 |
+
"loss": 0.5871,
|
| 264 |
+
"step": 410
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 1.34,
|
| 268 |
+
"learning_rate": 3.0814639905549e-05,
|
| 269 |
+
"loss": 0.6319,
|
| 270 |
+
"step": 420
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.37,
|
| 274 |
+
"learning_rate": 3.022432113341204e-05,
|
| 275 |
+
"loss": 0.5786,
|
| 276 |
+
"step": 430
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.4,
|
| 280 |
+
"learning_rate": 2.9634002361275087e-05,
|
| 281 |
+
"loss": 0.5804,
|
| 282 |
+
"step": 440
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.43,
|
| 286 |
+
"learning_rate": 2.9043683589138138e-05,
|
| 287 |
+
"loss": 0.6038,
|
| 288 |
+
"step": 450
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 1.46,
|
| 292 |
+
"learning_rate": 2.8453364817001183e-05,
|
| 293 |
+
"loss": 0.6018,
|
| 294 |
+
"step": 460
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 1.49,
|
| 298 |
+
"learning_rate": 2.7863046044864228e-05,
|
| 299 |
+
"loss": 0.5901,
|
| 300 |
+
"step": 470
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 1.53,
|
| 304 |
+
"learning_rate": 2.7272727272727273e-05,
|
| 305 |
+
"loss": 0.5967,
|
| 306 |
+
"step": 480
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 1.56,
|
| 310 |
+
"learning_rate": 2.668240850059032e-05,
|
| 311 |
+
"loss": 0.6058,
|
| 312 |
+
"step": 490
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 1.59,
|
| 316 |
+
"learning_rate": 2.6092089728453366e-05,
|
| 317 |
+
"loss": 0.5511,
|
| 318 |
+
"step": 500
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.62,
|
| 322 |
+
"learning_rate": 2.550177095631641e-05,
|
| 323 |
+
"loss": 0.5863,
|
| 324 |
+
"step": 510
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.65,
|
| 328 |
+
"learning_rate": 2.4911452184179456e-05,
|
| 329 |
+
"loss": 0.559,
|
| 330 |
+
"step": 520
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 1.69,
|
| 334 |
+
"learning_rate": 2.4321133412042505e-05,
|
| 335 |
+
"loss": 0.5856,
|
| 336 |
+
"step": 530
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 1.72,
|
| 340 |
+
"learning_rate": 2.373081463990555e-05,
|
| 341 |
+
"loss": 0.5901,
|
| 342 |
+
"step": 540
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 1.75,
|
| 346 |
+
"learning_rate": 2.3140495867768598e-05,
|
| 347 |
+
"loss": 0.5703,
|
| 348 |
+
"step": 550
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 1.78,
|
| 352 |
+
"learning_rate": 2.2550177095631643e-05,
|
| 353 |
+
"loss": 0.6038,
|
| 354 |
+
"step": 560
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 1.81,
|
| 358 |
+
"learning_rate": 2.1959858323494688e-05,
|
| 359 |
+
"loss": 0.5987,
|
| 360 |
+
"step": 570
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.84,
|
| 364 |
+
"learning_rate": 2.1369539551357733e-05,
|
| 365 |
+
"loss": 0.5859,
|
| 366 |
+
"step": 580
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.88,
|
| 370 |
+
"learning_rate": 2.077922077922078e-05,
|
| 371 |
+
"loss": 0.6033,
|
| 372 |
+
"step": 590
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 1.91,
|
| 376 |
+
"learning_rate": 2.0188902007083826e-05,
|
| 377 |
+
"loss": 0.5886,
|
| 378 |
+
"step": 600
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 1.94,
|
| 382 |
+
"learning_rate": 1.959858323494687e-05,
|
| 383 |
+
"loss": 0.5741,
|
| 384 |
+
"step": 610
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 1.97,
|
| 388 |
+
"learning_rate": 1.900826446280992e-05,
|
| 389 |
+
"loss": 0.5524,
|
| 390 |
+
"step": 620
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.0,
|
| 394 |
+
"eval_accuracy": 0.7186940966010733,
|
| 395 |
+
"eval_loss": 0.4689517319202423,
|
| 396 |
+
"eval_runtime": 32.5075,
|
| 397 |
+
"eval_samples_per_second": 137.568,
|
| 398 |
+
"eval_steps_per_second": 4.307,
|
| 399 |
+
"step": 629
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 2.0,
|
| 403 |
+
"learning_rate": 1.8417945690672964e-05,
|
| 404 |
+
"loss": 0.5363,
|
| 405 |
+
"step": 630
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 2.03,
|
| 409 |
+
"learning_rate": 1.7827626918536012e-05,
|
| 410 |
+
"loss": 0.5789,
|
| 411 |
+
"step": 640
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 2.07,
|
| 415 |
+
"learning_rate": 1.7237308146399057e-05,
|
| 416 |
+
"loss": 0.5492,
|
| 417 |
+
"step": 650
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 2.1,
|
| 421 |
+
"learning_rate": 1.6646989374262102e-05,
|
| 422 |
+
"loss": 0.5799,
|
| 423 |
+
"step": 660
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.13,
|
| 427 |
+
"learning_rate": 1.6056670602125147e-05,
|
| 428 |
+
"loss": 0.5762,
|
| 429 |
+
"step": 670
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.16,
|
| 433 |
+
"learning_rate": 1.5466351829988192e-05,
|
| 434 |
+
"loss": 0.5331,
|
| 435 |
+
"step": 680
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 2.19,
|
| 439 |
+
"learning_rate": 1.487603305785124e-05,
|
| 440 |
+
"loss": 0.531,
|
| 441 |
+
"step": 690
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 2.23,
|
| 445 |
+
"learning_rate": 1.4285714285714285e-05,
|
| 446 |
+
"loss": 0.5419,
|
| 447 |
+
"step": 700
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 2.26,
|
| 451 |
+
"learning_rate": 1.3695395513577334e-05,
|
| 452 |
+
"loss": 0.5359,
|
| 453 |
+
"step": 710
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.29,
|
| 457 |
+
"learning_rate": 1.3105076741440379e-05,
|
| 458 |
+
"loss": 0.5551,
|
| 459 |
+
"step": 720
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.32,
|
| 463 |
+
"learning_rate": 1.2514757969303425e-05,
|
| 464 |
+
"loss": 0.5616,
|
| 465 |
+
"step": 730
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 2.35,
|
| 469 |
+
"learning_rate": 1.192443919716647e-05,
|
| 470 |
+
"loss": 0.5382,
|
| 471 |
+
"step": 740
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.38,
|
| 475 |
+
"learning_rate": 1.1334120425029517e-05,
|
| 476 |
+
"loss": 0.537,
|
| 477 |
+
"step": 750
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 2.42,
|
| 481 |
+
"learning_rate": 1.0743801652892564e-05,
|
| 482 |
+
"loss": 0.5468,
|
| 483 |
+
"step": 760
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 2.45,
|
| 487 |
+
"learning_rate": 1.0153482880755608e-05,
|
| 488 |
+
"loss": 0.5369,
|
| 489 |
+
"step": 770
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 2.48,
|
| 493 |
+
"learning_rate": 9.563164108618655e-06,
|
| 494 |
+
"loss": 0.531,
|
| 495 |
+
"step": 780
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 2.51,
|
| 499 |
+
"learning_rate": 8.9728453364817e-06,
|
| 500 |
+
"loss": 0.527,
|
| 501 |
+
"step": 790
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.54,
|
| 505 |
+
"learning_rate": 8.382526564344747e-06,
|
| 506 |
+
"loss": 0.5555,
|
| 507 |
+
"step": 800
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 2.58,
|
| 511 |
+
"learning_rate": 7.792207792207792e-06,
|
| 512 |
+
"loss": 0.5759,
|
| 513 |
+
"step": 810
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.61,
|
| 517 |
+
"learning_rate": 7.201889020070838e-06,
|
| 518 |
+
"loss": 0.5326,
|
| 519 |
+
"step": 820
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 2.64,
|
| 523 |
+
"learning_rate": 6.611570247933885e-06,
|
| 524 |
+
"loss": 0.5443,
|
| 525 |
+
"step": 830
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 2.67,
|
| 529 |
+
"learning_rate": 6.021251475796931e-06,
|
| 530 |
+
"loss": 0.5503,
|
| 531 |
+
"step": 840
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 2.7,
|
| 535 |
+
"learning_rate": 5.430932703659976e-06,
|
| 536 |
+
"loss": 0.5494,
|
| 537 |
+
"step": 850
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 2.73,
|
| 541 |
+
"learning_rate": 4.840613931523023e-06,
|
| 542 |
+
"loss": 0.5507,
|
| 543 |
+
"step": 860
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.77,
|
| 547 |
+
"learning_rate": 4.250295159386069e-06,
|
| 548 |
+
"loss": 0.5402,
|
| 549 |
+
"step": 870
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 2.8,
|
| 553 |
+
"learning_rate": 3.659976387249114e-06,
|
| 554 |
+
"loss": 0.5223,
|
| 555 |
+
"step": 880
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.83,
|
| 559 |
+
"learning_rate": 3.0696576151121604e-06,
|
| 560 |
+
"loss": 0.5563,
|
| 561 |
+
"step": 890
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 2.86,
|
| 565 |
+
"learning_rate": 2.4793388429752066e-06,
|
| 566 |
+
"loss": 0.5068,
|
| 567 |
+
"step": 900
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 2.89,
|
| 571 |
+
"learning_rate": 1.8890200708382526e-06,
|
| 572 |
+
"loss": 0.5425,
|
| 573 |
+
"step": 910
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 2.93,
|
| 577 |
+
"learning_rate": 1.2987012987012988e-06,
|
| 578 |
+
"loss": 0.5568,
|
| 579 |
+
"step": 920
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 2.96,
|
| 583 |
+
"learning_rate": 7.083825265643448e-07,
|
| 584 |
+
"loss": 0.5354,
|
| 585 |
+
"step": 930
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.99,
|
| 589 |
+
"learning_rate": 1.1806375442739079e-07,
|
| 590 |
+
"loss": 0.5268,
|
| 591 |
+
"step": 940
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 3.0,
|
| 595 |
+
"eval_accuracy": 0.7303220035778175,
|
| 596 |
+
"eval_loss": 0.45461490750312805,
|
| 597 |
+
"eval_runtime": 31.991,
|
| 598 |
+
"eval_samples_per_second": 139.789,
|
| 599 |
+
"eval_steps_per_second": 4.376,
|
| 600 |
+
"step": 942
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 3.0,
|
| 604 |
+
"step": 942,
|
| 605 |
+
"total_flos": 2.996656354433065e+18,
|
| 606 |
+
"train_loss": 0.6572925214301755,
|
| 607 |
+
"train_runtime": 1977.1874,
|
| 608 |
+
"train_samples_per_second": 61.064,
|
| 609 |
+
"train_steps_per_second": 0.476
|
| 610 |
+
}
|
| 611 |
+
],
|
| 612 |
+
"logging_steps": 10,
|
| 613 |
+
"max_steps": 942,
|
| 614 |
+
"num_train_epochs": 3,
|
| 615 |
+
"save_steps": 500,
|
| 616 |
+
"total_flos": 2.996656354433065e+18,
|
| 617 |
+
"trial_name": null,
|
| 618 |
+
"trial_params": null
|
| 619 |
+
}
|