End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 40.0,
|
| 3 |
+
"eval_loss": 0.5670017004013062,
|
| 4 |
+
"eval_runtime": 130.6558,
|
| 5 |
+
"eval_samples_per_second": 5.182,
|
| 6 |
+
"eval_steps_per_second": 0.168,
|
| 7 |
+
"eval_wer": 22.905706191825175,
|
| 8 |
+
"train_loss": 0.18650398002238944,
|
| 9 |
+
"train_runtime": 4114.7394,
|
| 10 |
+
"train_samples_per_second": 12.443,
|
| 11 |
+
"train_steps_per_second": 0.194
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 40.0,
|
| 3 |
+
"eval_loss": 0.5670017004013062,
|
| 4 |
+
"eval_runtime": 130.6558,
|
| 5 |
+
"eval_samples_per_second": 5.182,
|
| 6 |
+
"eval_steps_per_second": 0.168,
|
| 7 |
+
"eval_wer": 22.905706191825175
|
| 8 |
+
}
|
runs/Dec21_10-01-59_129-146-66-209/events.out.tfevents.1671621294.129-146-66-209.2369527.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46a5f3077c1e24665260af7575922cb1f0b95c0098d96394827202d736149cbb
|
| 3 |
+
size 358
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 40.0,
|
| 3 |
+
"train_loss": 0.18650398002238944,
|
| 4 |
+
"train_runtime": 4114.7394,
|
| 5 |
+
"train_samples_per_second": 12.443,
|
| 6 |
+
"train_steps_per_second": 0.194
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,289 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 22.905706191825175,
|
| 3 |
+
"best_model_checkpoint": "./checkpoint-600",
|
| 4 |
+
"epoch": 40.0,
|
| 5 |
+
"global_step": 800,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 1.25,
|
| 12 |
+
"learning_rate": 4.2000000000000006e-07,
|
| 13 |
+
"loss": 2.1103,
|
| 14 |
+
"step": 25
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 2.5,
|
| 18 |
+
"learning_rate": 9.200000000000001e-07,
|
| 19 |
+
"loss": 1.6262,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 3.75,
|
| 24 |
+
"learning_rate": 1.42e-06,
|
| 25 |
+
"loss": 0.9697,
|
| 26 |
+
"step": 75
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 5.0,
|
| 30 |
+
"learning_rate": 1.9200000000000003e-06,
|
| 31 |
+
"loss": 0.4257,
|
| 32 |
+
"step": 100
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 5.0,
|
| 36 |
+
"eval_loss": 0.43767037987709045,
|
| 37 |
+
"eval_runtime": 132.7315,
|
| 38 |
+
"eval_samples_per_second": 5.101,
|
| 39 |
+
"eval_steps_per_second": 0.166,
|
| 40 |
+
"eval_wer": 32.41602590044516,
|
| 41 |
+
"step": 100
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 6.25,
|
| 45 |
+
"learning_rate": 2.42e-06,
|
| 46 |
+
"loss": 0.267,
|
| 47 |
+
"step": 125
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 7.5,
|
| 51 |
+
"learning_rate": 2.92e-06,
|
| 52 |
+
"loss": 0.1836,
|
| 53 |
+
"step": 150
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 8.75,
|
| 57 |
+
"learning_rate": 3.4200000000000007e-06,
|
| 58 |
+
"loss": 0.1212,
|
| 59 |
+
"step": 175
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 10.0,
|
| 63 |
+
"learning_rate": 3.920000000000001e-06,
|
| 64 |
+
"loss": 0.0779,
|
| 65 |
+
"step": 200
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 10.0,
|
| 69 |
+
"eval_loss": 0.3927859365940094,
|
| 70 |
+
"eval_runtime": 170.4399,
|
| 71 |
+
"eval_samples_per_second": 3.972,
|
| 72 |
+
"eval_steps_per_second": 0.129,
|
| 73 |
+
"eval_wer": 23.75556454876568,
|
| 74 |
+
"step": 200
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 11.25,
|
| 78 |
+
"learning_rate": 4.42e-06,
|
| 79 |
+
"loss": 0.0479,
|
| 80 |
+
"step": 225
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 12.5,
|
| 84 |
+
"learning_rate": 4.92e-06,
|
| 85 |
+
"loss": 0.027,
|
| 86 |
+
"step": 250
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 13.75,
|
| 90 |
+
"learning_rate": 5.420000000000001e-06,
|
| 91 |
+
"loss": 0.0155,
|
| 92 |
+
"step": 275
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 15.0,
|
| 96 |
+
"learning_rate": 5.92e-06,
|
| 97 |
+
"loss": 0.0108,
|
| 98 |
+
"step": 300
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 15.0,
|
| 102 |
+
"eval_loss": 0.48562100529670715,
|
| 103 |
+
"eval_runtime": 132.2653,
|
| 104 |
+
"eval_samples_per_second": 5.118,
|
| 105 |
+
"eval_steps_per_second": 0.166,
|
| 106 |
+
"eval_wer": 23.431808984216918,
|
| 107 |
+
"step": 300
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 16.25,
|
| 111 |
+
"learning_rate": 6.42e-06,
|
| 112 |
+
"loss": 0.0077,
|
| 113 |
+
"step": 325
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 17.5,
|
| 117 |
+
"learning_rate": 6.92e-06,
|
| 118 |
+
"loss": 0.0056,
|
| 119 |
+
"step": 350
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 18.75,
|
| 123 |
+
"learning_rate": 7.420000000000001e-06,
|
| 124 |
+
"loss": 0.0064,
|
| 125 |
+
"step": 375
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 20.0,
|
| 129 |
+
"learning_rate": 7.92e-06,
|
| 130 |
+
"loss": 0.0104,
|
| 131 |
+
"step": 400
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 20.0,
|
| 135 |
+
"eval_loss": 0.5637333989143372,
|
| 136 |
+
"eval_runtime": 131.0951,
|
| 137 |
+
"eval_samples_per_second": 5.164,
|
| 138 |
+
"eval_steps_per_second": 0.168,
|
| 139 |
+
"eval_wer": 25.495750708215297,
|
| 140 |
+
"step": 400
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 21.25,
|
| 144 |
+
"learning_rate": 8.42e-06,
|
| 145 |
+
"loss": 0.0091,
|
| 146 |
+
"step": 425
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 22.5,
|
| 150 |
+
"learning_rate": 8.920000000000001e-06,
|
| 151 |
+
"loss": 0.0073,
|
| 152 |
+
"step": 450
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 23.75,
|
| 156 |
+
"learning_rate": 9.42e-06,
|
| 157 |
+
"loss": 0.0072,
|
| 158 |
+
"step": 475
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 25.0,
|
| 162 |
+
"learning_rate": 9.920000000000002e-06,
|
| 163 |
+
"loss": 0.0069,
|
| 164 |
+
"step": 500
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 25.0,
|
| 168 |
+
"eval_loss": 0.5289409756660461,
|
| 169 |
+
"eval_runtime": 131.511,
|
| 170 |
+
"eval_samples_per_second": 5.148,
|
| 171 |
+
"eval_steps_per_second": 0.167,
|
| 172 |
+
"eval_wer": 23.148522865236746,
|
| 173 |
+
"step": 500
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 26.25,
|
| 177 |
+
"learning_rate": 9.3e-06,
|
| 178 |
+
"loss": 0.0056,
|
| 179 |
+
"step": 525
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 27.5,
|
| 183 |
+
"learning_rate": 8.466666666666668e-06,
|
| 184 |
+
"loss": 0.0057,
|
| 185 |
+
"step": 550
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 28.75,
|
| 189 |
+
"learning_rate": 7.633333333333334e-06,
|
| 190 |
+
"loss": 0.0035,
|
| 191 |
+
"step": 575
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 30.0,
|
| 195 |
+
"learning_rate": 6.800000000000001e-06,
|
| 196 |
+
"loss": 0.0022,
|
| 197 |
+
"step": 600
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 30.0,
|
| 201 |
+
"eval_loss": 0.5670017004013062,
|
| 202 |
+
"eval_runtime": 130.771,
|
| 203 |
+
"eval_samples_per_second": 5.177,
|
| 204 |
+
"eval_steps_per_second": 0.168,
|
| 205 |
+
"eval_wer": 22.905706191825175,
|
| 206 |
+
"step": 600
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 31.25,
|
| 210 |
+
"learning_rate": 5.966666666666667e-06,
|
| 211 |
+
"loss": 0.0016,
|
| 212 |
+
"step": 625
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 32.5,
|
| 216 |
+
"learning_rate": 5.133333333333334e-06,
|
| 217 |
+
"loss": 0.001,
|
| 218 |
+
"step": 650
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 33.75,
|
| 222 |
+
"learning_rate": 4.3e-06,
|
| 223 |
+
"loss": 0.0012,
|
| 224 |
+
"step": 675
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 35.0,
|
| 228 |
+
"learning_rate": 3.4666666666666672e-06,
|
| 229 |
+
"loss": 0.0012,
|
| 230 |
+
"step": 700
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 35.0,
|
| 234 |
+
"eval_loss": 0.574644923210144,
|
| 235 |
+
"eval_runtime": 131.2536,
|
| 236 |
+
"eval_samples_per_second": 5.158,
|
| 237 |
+
"eval_steps_per_second": 0.168,
|
| 238 |
+
"eval_wer": 23.02711452853096,
|
| 239 |
+
"step": 700
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 36.25,
|
| 243 |
+
"learning_rate": 2.6333333333333332e-06,
|
| 244 |
+
"loss": 0.0006,
|
| 245 |
+
"step": 725
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 37.5,
|
| 249 |
+
"learning_rate": 1.8000000000000001e-06,
|
| 250 |
+
"loss": 0.0006,
|
| 251 |
+
"step": 750
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 38.75,
|
| 255 |
+
"learning_rate": 9.666666666666668e-07,
|
| 256 |
+
"loss": 0.0006,
|
| 257 |
+
"step": 775
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 40.0,
|
| 261 |
+
"learning_rate": 1.3333333333333336e-07,
|
| 262 |
+
"loss": 0.0006,
|
| 263 |
+
"step": 800
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 40.0,
|
| 267 |
+
"eval_loss": 0.5809842944145203,
|
| 268 |
+
"eval_runtime": 131.1241,
|
| 269 |
+
"eval_samples_per_second": 5.163,
|
| 270 |
+
"eval_steps_per_second": 0.168,
|
| 271 |
+
"eval_wer": 23.188992310805343,
|
| 272 |
+
"step": 800
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 40.0,
|
| 276 |
+
"step": 800,
|
| 277 |
+
"total_flos": 1.43830963519488e+19,
|
| 278 |
+
"train_loss": 0.18650398002238944,
|
| 279 |
+
"train_runtime": 4114.7394,
|
| 280 |
+
"train_samples_per_second": 12.443,
|
| 281 |
+
"train_steps_per_second": 0.194
|
| 282 |
+
}
|
| 283 |
+
],
|
| 284 |
+
"max_steps": 800,
|
| 285 |
+
"num_train_epochs": 40,
|
| 286 |
+
"total_flos": 1.43830963519488e+19,
|
| 287 |
+
"trial_name": null,
|
| 288 |
+
"trial_params": null
|
| 289 |
+
}
|