Commit
·
36038da
1
Parent(s):
0d3ff93
End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.06,
|
| 3 |
+
"eval_accuracy": 0.3719715956558062,
|
| 4 |
+
"eval_loss": 1.4775745868682861,
|
| 5 |
+
"eval_runtime": 711.1381,
|
| 6 |
+
"eval_samples_per_second": 6.733,
|
| 7 |
+
"eval_steps_per_second": 1.347
|
| 8 |
+
}
|
runs/May21_12-12-08_ca0c34d01236/events.out.tfevents.1684677836.ca0c34d01236.9963.2
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45647a6c789db4541609bb0250a935a93fc222c188e6fffeda96f8b2f95cf619
|
| 3 |
+
size 734
|
test_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.06,
|
| 3 |
+
"eval_accuracy": 0.3719715956558062,
|
| 4 |
+
"eval_loss": 1.4775745868682861,
|
| 5 |
+
"eval_runtime": 711.1381,
|
| 6 |
+
"eval_samples_per_second": 6.733,
|
| 7 |
+
"eval_steps_per_second": 1.347
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,571 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.3408508457201435,
|
| 3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucf_crime/checkpoint-640",
|
| 4 |
+
"epoch": 15.0625,
|
| 5 |
+
"global_step": 640,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 7.8125e-06,
|
| 13 |
+
"loss": 2.0077,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.03,
|
| 18 |
+
"learning_rate": 1.5625e-05,
|
| 19 |
+
"loss": 2.0023,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.05,
|
| 24 |
+
"learning_rate": 2.34375e-05,
|
| 25 |
+
"loss": 1.9694,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.06,
|
| 30 |
+
"learning_rate": 3.125e-05,
|
| 31 |
+
"loss": 1.9349,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.06,
|
| 36 |
+
"eval_accuracy": 0.23321373654536134,
|
| 37 |
+
"eval_loss": 1.9845067262649536,
|
| 38 |
+
"eval_runtime": 283.512,
|
| 39 |
+
"eval_samples_per_second": 6.882,
|
| 40 |
+
"eval_steps_per_second": 1.379,
|
| 41 |
+
"step": 40
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 1.02,
|
| 45 |
+
"learning_rate": 3.90625e-05,
|
| 46 |
+
"loss": 1.8948,
|
| 47 |
+
"step": 50
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 1.03,
|
| 51 |
+
"learning_rate": 4.6875e-05,
|
| 52 |
+
"loss": 1.9233,
|
| 53 |
+
"step": 60
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 1.05,
|
| 57 |
+
"learning_rate": 4.947916666666667e-05,
|
| 58 |
+
"loss": 1.8999,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 1.06,
|
| 63 |
+
"learning_rate": 4.8611111111111115e-05,
|
| 64 |
+
"loss": 1.8834,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.06,
|
| 69 |
+
"eval_accuracy": 0.300871348026653,
|
| 70 |
+
"eval_loss": 1.913393259048462,
|
| 71 |
+
"eval_runtime": 275.0254,
|
| 72 |
+
"eval_samples_per_second": 7.094,
|
| 73 |
+
"eval_steps_per_second": 1.422,
|
| 74 |
+
"step": 80
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.02,
|
| 78 |
+
"learning_rate": 4.774305555555556e-05,
|
| 79 |
+
"loss": 1.7494,
|
| 80 |
+
"step": 90
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 2.03,
|
| 84 |
+
"learning_rate": 4.6875e-05,
|
| 85 |
+
"loss": 1.8734,
|
| 86 |
+
"step": 100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.05,
|
| 90 |
+
"learning_rate": 4.6006944444444444e-05,
|
| 91 |
+
"loss": 1.7983,
|
| 92 |
+
"step": 110
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 2.06,
|
| 96 |
+
"learning_rate": 4.5138888888888894e-05,
|
| 97 |
+
"loss": 1.7506,
|
| 98 |
+
"step": 120
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 2.06,
|
| 102 |
+
"eval_accuracy": 0.3080471553049718,
|
| 103 |
+
"eval_loss": 1.8459901809692383,
|
| 104 |
+
"eval_runtime": 276.2962,
|
| 105 |
+
"eval_samples_per_second": 7.061,
|
| 106 |
+
"eval_steps_per_second": 1.415,
|
| 107 |
+
"step": 120
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 3.02,
|
| 111 |
+
"learning_rate": 4.4270833333333337e-05,
|
| 112 |
+
"loss": 1.7095,
|
| 113 |
+
"step": 130
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 3.03,
|
| 117 |
+
"learning_rate": 4.340277777777778e-05,
|
| 118 |
+
"loss": 1.7728,
|
| 119 |
+
"step": 140
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 3.05,
|
| 123 |
+
"learning_rate": 4.253472222222222e-05,
|
| 124 |
+
"loss": 1.6405,
|
| 125 |
+
"step": 150
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 3.06,
|
| 129 |
+
"learning_rate": 4.166666666666667e-05,
|
| 130 |
+
"loss": 1.6494,
|
| 131 |
+
"step": 160
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 3.06,
|
| 135 |
+
"eval_accuracy": 0.26242952332137365,
|
| 136 |
+
"eval_loss": 1.7690991163253784,
|
| 137 |
+
"eval_runtime": 273.7893,
|
| 138 |
+
"eval_samples_per_second": 7.126,
|
| 139 |
+
"eval_steps_per_second": 1.428,
|
| 140 |
+
"step": 160
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 4.02,
|
| 144 |
+
"learning_rate": 4.0798611111111115e-05,
|
| 145 |
+
"loss": 1.54,
|
| 146 |
+
"step": 170
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.03,
|
| 150 |
+
"learning_rate": 3.993055555555556e-05,
|
| 151 |
+
"loss": 1.7852,
|
| 152 |
+
"step": 180
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 4.05,
|
| 156 |
+
"learning_rate": 3.90625e-05,
|
| 157 |
+
"loss": 1.6099,
|
| 158 |
+
"step": 190
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 4.06,
|
| 162 |
+
"learning_rate": 3.8194444444444444e-05,
|
| 163 |
+
"loss": 1.6189,
|
| 164 |
+
"step": 200
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 4.06,
|
| 168 |
+
"eval_accuracy": 0.2537160430548437,
|
| 169 |
+
"eval_loss": 1.7939332723617554,
|
| 170 |
+
"eval_runtime": 277.3167,
|
| 171 |
+
"eval_samples_per_second": 7.035,
|
| 172 |
+
"eval_steps_per_second": 1.41,
|
| 173 |
+
"step": 200
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 5.02,
|
| 177 |
+
"learning_rate": 3.7326388888888893e-05,
|
| 178 |
+
"loss": 1.6924,
|
| 179 |
+
"step": 210
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 5.03,
|
| 183 |
+
"learning_rate": 3.6458333333333336e-05,
|
| 184 |
+
"loss": 1.4859,
|
| 185 |
+
"step": 220
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 5.05,
|
| 189 |
+
"learning_rate": 3.559027777777778e-05,
|
| 190 |
+
"loss": 1.5968,
|
| 191 |
+
"step": 230
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 5.06,
|
| 195 |
+
"learning_rate": 3.472222222222222e-05,
|
| 196 |
+
"loss": 1.6895,
|
| 197 |
+
"step": 240
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 5.06,
|
| 201 |
+
"eval_accuracy": 0.2706304459251666,
|
| 202 |
+
"eval_loss": 1.7808924913406372,
|
| 203 |
+
"eval_runtime": 273.0904,
|
| 204 |
+
"eval_samples_per_second": 7.144,
|
| 205 |
+
"eval_steps_per_second": 1.432,
|
| 206 |
+
"step": 240
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.02,
|
| 210 |
+
"learning_rate": 3.385416666666667e-05,
|
| 211 |
+
"loss": 1.4744,
|
| 212 |
+
"step": 250
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 6.03,
|
| 216 |
+
"learning_rate": 3.2986111111111115e-05,
|
| 217 |
+
"loss": 1.4511,
|
| 218 |
+
"step": 260
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 6.05,
|
| 222 |
+
"learning_rate": 3.211805555555556e-05,
|
| 223 |
+
"loss": 1.5508,
|
| 224 |
+
"step": 270
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 6.06,
|
| 228 |
+
"learning_rate": 3.125e-05,
|
| 229 |
+
"loss": 1.517,
|
| 230 |
+
"step": 280
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 6.06,
|
| 234 |
+
"eval_accuracy": 0.32444900051255765,
|
| 235 |
+
"eval_loss": 1.6772902011871338,
|
| 236 |
+
"eval_runtime": 276.0493,
|
| 237 |
+
"eval_samples_per_second": 7.068,
|
| 238 |
+
"eval_steps_per_second": 1.416,
|
| 239 |
+
"step": 280
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 7.02,
|
| 243 |
+
"learning_rate": 3.0381944444444444e-05,
|
| 244 |
+
"loss": 1.4337,
|
| 245 |
+
"step": 290
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 7.03,
|
| 249 |
+
"learning_rate": 2.951388888888889e-05,
|
| 250 |
+
"loss": 1.3272,
|
| 251 |
+
"step": 300
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 7.05,
|
| 255 |
+
"learning_rate": 2.8645833333333333e-05,
|
| 256 |
+
"loss": 1.5492,
|
| 257 |
+
"step": 310
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 7.06,
|
| 261 |
+
"learning_rate": 2.777777777777778e-05,
|
| 262 |
+
"loss": 1.308,
|
| 263 |
+
"step": 320
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 7.06,
|
| 267 |
+
"eval_accuracy": 0.31522296258329063,
|
| 268 |
+
"eval_loss": 1.8363568782806396,
|
| 269 |
+
"eval_runtime": 279.2835,
|
| 270 |
+
"eval_samples_per_second": 6.986,
|
| 271 |
+
"eval_steps_per_second": 1.4,
|
| 272 |
+
"step": 320
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 8.02,
|
| 276 |
+
"learning_rate": 2.6909722222222222e-05,
|
| 277 |
+
"loss": 1.3879,
|
| 278 |
+
"step": 330
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 8.03,
|
| 282 |
+
"learning_rate": 2.604166666666667e-05,
|
| 283 |
+
"loss": 1.275,
|
| 284 |
+
"step": 340
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 8.05,
|
| 288 |
+
"learning_rate": 2.517361111111111e-05,
|
| 289 |
+
"loss": 1.5059,
|
| 290 |
+
"step": 350
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 8.06,
|
| 294 |
+
"learning_rate": 2.4305555555555558e-05,
|
| 295 |
+
"loss": 1.2267,
|
| 296 |
+
"step": 360
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 8.06,
|
| 300 |
+
"eval_accuracy": 0.24397744746283956,
|
| 301 |
+
"eval_loss": 2.039224147796631,
|
| 302 |
+
"eval_runtime": 274.0654,
|
| 303 |
+
"eval_samples_per_second": 7.119,
|
| 304 |
+
"eval_steps_per_second": 1.427,
|
| 305 |
+
"step": 360
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 9.02,
|
| 309 |
+
"learning_rate": 2.34375e-05,
|
| 310 |
+
"loss": 1.1202,
|
| 311 |
+
"step": 370
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 9.03,
|
| 315 |
+
"learning_rate": 2.2569444444444447e-05,
|
| 316 |
+
"loss": 1.2332,
|
| 317 |
+
"step": 380
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 9.05,
|
| 321 |
+
"learning_rate": 2.170138888888889e-05,
|
| 322 |
+
"loss": 1.202,
|
| 323 |
+
"step": 390
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 9.06,
|
| 327 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 328 |
+
"loss": 1.4347,
|
| 329 |
+
"step": 400
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 9.06,
|
| 333 |
+
"eval_accuracy": 0.2450025627883137,
|
| 334 |
+
"eval_loss": 1.9110286235809326,
|
| 335 |
+
"eval_runtime": 276.5587,
|
| 336 |
+
"eval_samples_per_second": 7.055,
|
| 337 |
+
"eval_steps_per_second": 1.414,
|
| 338 |
+
"step": 400
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 10.02,
|
| 342 |
+
"learning_rate": 1.996527777777778e-05,
|
| 343 |
+
"loss": 1.2234,
|
| 344 |
+
"step": 410
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 10.03,
|
| 348 |
+
"learning_rate": 1.9097222222222222e-05,
|
| 349 |
+
"loss": 1.1313,
|
| 350 |
+
"step": 420
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 10.05,
|
| 354 |
+
"learning_rate": 1.8229166666666668e-05,
|
| 355 |
+
"loss": 1.0577,
|
| 356 |
+
"step": 430
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 10.06,
|
| 360 |
+
"learning_rate": 1.736111111111111e-05,
|
| 361 |
+
"loss": 1.1567,
|
| 362 |
+
"step": 440
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 10.06,
|
| 366 |
+
"eval_accuracy": 0.2839569451563301,
|
| 367 |
+
"eval_loss": 1.7605599164962769,
|
| 368 |
+
"eval_runtime": 272.6134,
|
| 369 |
+
"eval_samples_per_second": 7.157,
|
| 370 |
+
"eval_steps_per_second": 1.434,
|
| 371 |
+
"step": 440
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 11.02,
|
| 375 |
+
"learning_rate": 1.6493055555555557e-05,
|
| 376 |
+
"loss": 0.8971,
|
| 377 |
+
"step": 450
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 11.03,
|
| 381 |
+
"learning_rate": 1.5625e-05,
|
| 382 |
+
"loss": 0.9622,
|
| 383 |
+
"step": 460
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 11.05,
|
| 387 |
+
"learning_rate": 1.4756944444444445e-05,
|
| 388 |
+
"loss": 1.0249,
|
| 389 |
+
"step": 470
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 11.06,
|
| 393 |
+
"learning_rate": 1.388888888888889e-05,
|
| 394 |
+
"loss": 1.1937,
|
| 395 |
+
"step": 480
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 11.06,
|
| 399 |
+
"eval_accuracy": 0.27370579190158895,
|
| 400 |
+
"eval_loss": 1.9803204536437988,
|
| 401 |
+
"eval_runtime": 276.1285,
|
| 402 |
+
"eval_samples_per_second": 7.066,
|
| 403 |
+
"eval_steps_per_second": 1.416,
|
| 404 |
+
"step": 480
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 12.02,
|
| 408 |
+
"learning_rate": 1.3020833333333334e-05,
|
| 409 |
+
"loss": 1.0393,
|
| 410 |
+
"step": 490
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 12.03,
|
| 414 |
+
"learning_rate": 1.2152777777777779e-05,
|
| 415 |
+
"loss": 1.0307,
|
| 416 |
+
"step": 500
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 12.05,
|
| 420 |
+
"learning_rate": 1.1284722222222223e-05,
|
| 421 |
+
"loss": 0.9968,
|
| 422 |
+
"step": 510
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 12.06,
|
| 426 |
+
"learning_rate": 1.0416666666666668e-05,
|
| 427 |
+
"loss": 1.0729,
|
| 428 |
+
"step": 520
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 12.06,
|
| 432 |
+
"eval_accuracy": 0.3352127114300359,
|
| 433 |
+
"eval_loss": 1.8354512453079224,
|
| 434 |
+
"eval_runtime": 279.58,
|
| 435 |
+
"eval_samples_per_second": 6.978,
|
| 436 |
+
"eval_steps_per_second": 1.399,
|
| 437 |
+
"step": 520
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 13.02,
|
| 441 |
+
"learning_rate": 9.548611111111111e-06,
|
| 442 |
+
"loss": 0.8985,
|
| 443 |
+
"step": 530
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 13.03,
|
| 447 |
+
"learning_rate": 8.680555555555556e-06,
|
| 448 |
+
"loss": 0.8869,
|
| 449 |
+
"step": 540
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 13.05,
|
| 453 |
+
"learning_rate": 7.8125e-06,
|
| 454 |
+
"loss": 0.8955,
|
| 455 |
+
"step": 550
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 13.06,
|
| 459 |
+
"learning_rate": 6.944444444444445e-06,
|
| 460 |
+
"loss": 1.0721,
|
| 461 |
+
"step": 560
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 13.06,
|
| 465 |
+
"eval_accuracy": 0.33111225012813944,
|
| 466 |
+
"eval_loss": 1.780818223953247,
|
| 467 |
+
"eval_runtime": 273.7447,
|
| 468 |
+
"eval_samples_per_second": 7.127,
|
| 469 |
+
"eval_steps_per_second": 1.428,
|
| 470 |
+
"step": 560
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 14.02,
|
| 474 |
+
"learning_rate": 6.076388888888889e-06,
|
| 475 |
+
"loss": 0.9399,
|
| 476 |
+
"step": 570
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 14.03,
|
| 480 |
+
"learning_rate": 5.208333333333334e-06,
|
| 481 |
+
"loss": 0.9936,
|
| 482 |
+
"step": 580
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 14.05,
|
| 486 |
+
"learning_rate": 4.340277777777778e-06,
|
| 487 |
+
"loss": 0.9332,
|
| 488 |
+
"step": 590
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 14.06,
|
| 492 |
+
"learning_rate": 3.4722222222222224e-06,
|
| 493 |
+
"loss": 0.6594,
|
| 494 |
+
"step": 600
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 14.06,
|
| 498 |
+
"eval_accuracy": 0.30599692465402356,
|
| 499 |
+
"eval_loss": 1.8175382614135742,
|
| 500 |
+
"eval_runtime": 275.653,
|
| 501 |
+
"eval_samples_per_second": 7.078,
|
| 502 |
+
"eval_steps_per_second": 1.418,
|
| 503 |
+
"step": 600
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 15.02,
|
| 507 |
+
"learning_rate": 2.604166666666667e-06,
|
| 508 |
+
"loss": 0.9107,
|
| 509 |
+
"step": 610
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 15.03,
|
| 513 |
+
"learning_rate": 1.7361111111111112e-06,
|
| 514 |
+
"loss": 0.8448,
|
| 515 |
+
"step": 620
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 15.05,
|
| 519 |
+
"learning_rate": 8.680555555555556e-07,
|
| 520 |
+
"loss": 0.8649,
|
| 521 |
+
"step": 630
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 15.06,
|
| 525 |
+
"learning_rate": 0.0,
|
| 526 |
+
"loss": 0.7636,
|
| 527 |
+
"step": 640
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 15.06,
|
| 531 |
+
"eval_accuracy": 0.3408508457201435,
|
| 532 |
+
"eval_loss": 1.8408526182174683,
|
| 533 |
+
"eval_runtime": 276.6561,
|
| 534 |
+
"eval_samples_per_second": 7.052,
|
| 535 |
+
"eval_steps_per_second": 1.413,
|
| 536 |
+
"step": 640
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 15.06,
|
| 540 |
+
"step": 640,
|
| 541 |
+
"total_flos": 6.380135180119572e+18,
|
| 542 |
+
"train_loss": 1.3738294385373593,
|
| 543 |
+
"train_runtime": 5964.0785,
|
| 544 |
+
"train_samples_per_second": 0.858,
|
| 545 |
+
"train_steps_per_second": 0.107
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 15.06,
|
| 549 |
+
"eval_accuracy": 0.3719715956558062,
|
| 550 |
+
"eval_loss": 1.4775745868682861,
|
| 551 |
+
"eval_runtime": 739.4258,
|
| 552 |
+
"eval_samples_per_second": 6.475,
|
| 553 |
+
"eval_steps_per_second": 1.296,
|
| 554 |
+
"step": 640
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 15.06,
|
| 558 |
+
"eval_accuracy": 0.3719715956558062,
|
| 559 |
+
"eval_loss": 1.4775745868682861,
|
| 560 |
+
"eval_runtime": 711.1381,
|
| 561 |
+
"eval_samples_per_second": 6.733,
|
| 562 |
+
"eval_steps_per_second": 1.347,
|
| 563 |
+
"step": 640
|
| 564 |
+
}
|
| 565 |
+
],
|
| 566 |
+
"max_steps": 640,
|
| 567 |
+
"num_train_epochs": 9223372036854775807,
|
| 568 |
+
"total_flos": 6.380135180119572e+18,
|
| 569 |
+
"trial_name": null,
|
| 570 |
+
"trial_params": null
|
| 571 |
+
}
|