End of training
Browse files- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +283 -0
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 76.89,
|
| 3 |
+
"eval_loss": 0.63818359375,
|
| 4 |
+
"eval_runtime": 604.2847,
|
| 5 |
+
"eval_samples_per_second": 1.622,
|
| 6 |
+
"eval_steps_per_second": 0.026,
|
| 7 |
+
"eval_wer": 27.692698197817073,
|
| 8 |
+
"train_loss": 0.1158139866143465,
|
| 9 |
+
"train_runtime": 9638.6666,
|
| 10 |
+
"train_samples_per_second": 6.64,
|
| 11 |
+
"train_steps_per_second": 0.104
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 76.89,
|
| 3 |
+
"eval_loss": 0.63818359375,
|
| 4 |
+
"eval_runtime": 604.2847,
|
| 5 |
+
"eval_samples_per_second": 1.622,
|
| 6 |
+
"eval_steps_per_second": 0.026,
|
| 7 |
+
"eval_wer": 27.692698197817073
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 76.89,
|
| 3 |
+
"train_loss": 0.1158139866143465,
|
| 4 |
+
"train_runtime": 9638.6666,
|
| 5 |
+
"train_samples_per_second": 6.64,
|
| 6 |
+
"train_steps_per_second": 0.104
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,283 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 27.692698197817073,
|
| 3 |
+
"best_model_checkpoint": "./whisper-large-sindhi/checkpoint-500",
|
| 4 |
+
"epoch": 76.88888888888889,
|
| 5 |
+
"global_step": 1000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 1.89,
|
| 12 |
+
"learning_rate": 6.505149978319905e-06,
|
| 13 |
+
"loss": 3.6387,
|
| 14 |
+
"step": 25
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 3.81,
|
| 18 |
+
"learning_rate": 8.31378915840787e-06,
|
| 19 |
+
"loss": 0.5812,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 5.74,
|
| 24 |
+
"learning_rate": 9.28666248215634e-06,
|
| 25 |
+
"loss": 0.2363,
|
| 26 |
+
"step": 75
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 7.67,
|
| 30 |
+
"learning_rate": 9.956130378462474e-06,
|
| 31 |
+
"loss": 0.0927,
|
| 32 |
+
"step": 100
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 9.59,
|
| 36 |
+
"learning_rate": 9.755555555555556e-06,
|
| 37 |
+
"loss": 0.0352,
|
| 38 |
+
"step": 125
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 11.52,
|
| 42 |
+
"learning_rate": 9.466666666666667e-06,
|
| 43 |
+
"loss": 0.0142,
|
| 44 |
+
"step": 150
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 13.44,
|
| 48 |
+
"learning_rate": 9.17777777777778e-06,
|
| 49 |
+
"loss": 0.0081,
|
| 50 |
+
"step": 175
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 15.37,
|
| 54 |
+
"learning_rate": 8.888888888888888e-06,
|
| 55 |
+
"loss": 0.0046,
|
| 56 |
+
"step": 200
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 17.3,
|
| 60 |
+
"learning_rate": 8.6e-06,
|
| 61 |
+
"loss": 0.0037,
|
| 62 |
+
"step": 225
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 19.22,
|
| 66 |
+
"learning_rate": 8.311111111111111e-06,
|
| 67 |
+
"loss": 0.0028,
|
| 68 |
+
"step": 250
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 21.15,
|
| 72 |
+
"learning_rate": 8.022222222222222e-06,
|
| 73 |
+
"loss": 0.0023,
|
| 74 |
+
"step": 275
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 23.07,
|
| 78 |
+
"learning_rate": 7.733333333333334e-06,
|
| 79 |
+
"loss": 0.0011,
|
| 80 |
+
"step": 300
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 24.96,
|
| 84 |
+
"learning_rate": 7.444444444444445e-06,
|
| 85 |
+
"loss": 0.0009,
|
| 86 |
+
"step": 325
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 26.89,
|
| 90 |
+
"learning_rate": 7.155555555555556e-06,
|
| 91 |
+
"loss": 0.0008,
|
| 92 |
+
"step": 350
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 28.81,
|
| 96 |
+
"learning_rate": 6.866666666666667e-06,
|
| 97 |
+
"loss": 0.0007,
|
| 98 |
+
"step": 375
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 30.74,
|
| 102 |
+
"learning_rate": 6.577777777777779e-06,
|
| 103 |
+
"loss": 0.0006,
|
| 104 |
+
"step": 400
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 32.67,
|
| 108 |
+
"learning_rate": 6.28888888888889e-06,
|
| 109 |
+
"loss": 0.0006,
|
| 110 |
+
"step": 425
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 34.59,
|
| 114 |
+
"learning_rate": 6e-06,
|
| 115 |
+
"loss": 0.0005,
|
| 116 |
+
"step": 450
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 36.52,
|
| 120 |
+
"learning_rate": 5.711111111111112e-06,
|
| 121 |
+
"loss": 0.0005,
|
| 122 |
+
"step": 475
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 38.44,
|
| 126 |
+
"learning_rate": 5.422222222222223e-06,
|
| 127 |
+
"loss": 0.0005,
|
| 128 |
+
"step": 500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 38.44,
|
| 132 |
+
"eval_loss": 0.63818359375,
|
| 133 |
+
"eval_runtime": 605.6018,
|
| 134 |
+
"eval_samples_per_second": 1.618,
|
| 135 |
+
"eval_steps_per_second": 0.026,
|
| 136 |
+
"eval_wer": 27.692698197817073,
|
| 137 |
+
"step": 500
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 40.37,
|
| 141 |
+
"learning_rate": 5.133333333333334e-06,
|
| 142 |
+
"loss": 0.0004,
|
| 143 |
+
"step": 525
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 42.3,
|
| 147 |
+
"learning_rate": 4.8444444444444446e-06,
|
| 148 |
+
"loss": 0.0004,
|
| 149 |
+
"step": 550
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 44.22,
|
| 153 |
+
"learning_rate": 4.555555555555556e-06,
|
| 154 |
+
"loss": 0.0004,
|
| 155 |
+
"step": 575
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 46.15,
|
| 159 |
+
"learning_rate": 4.266666666666668e-06,
|
| 160 |
+
"loss": 0.0004,
|
| 161 |
+
"step": 600
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 48.07,
|
| 165 |
+
"learning_rate": 3.977777777777778e-06,
|
| 166 |
+
"loss": 0.0004,
|
| 167 |
+
"step": 625
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 49.96,
|
| 171 |
+
"learning_rate": 3.7e-06,
|
| 172 |
+
"loss": 0.0003,
|
| 173 |
+
"step": 650
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 51.89,
|
| 177 |
+
"learning_rate": 3.4111111111111113e-06,
|
| 178 |
+
"loss": 0.0003,
|
| 179 |
+
"step": 675
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 53.81,
|
| 183 |
+
"learning_rate": 3.1222222222222228e-06,
|
| 184 |
+
"loss": 0.0003,
|
| 185 |
+
"step": 700
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 55.74,
|
| 189 |
+
"learning_rate": 2.8333333333333335e-06,
|
| 190 |
+
"loss": 0.0003,
|
| 191 |
+
"step": 725
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 57.67,
|
| 195 |
+
"learning_rate": 2.5444444444444446e-06,
|
| 196 |
+
"loss": 0.0003,
|
| 197 |
+
"step": 750
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 59.59,
|
| 201 |
+
"learning_rate": 2.2555555555555557e-06,
|
| 202 |
+
"loss": 0.0003,
|
| 203 |
+
"step": 775
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 61.52,
|
| 207 |
+
"learning_rate": 1.9666666666666668e-06,
|
| 208 |
+
"loss": 0.0003,
|
| 209 |
+
"step": 800
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 63.44,
|
| 213 |
+
"learning_rate": 1.6777777777777779e-06,
|
| 214 |
+
"loss": 0.0003,
|
| 215 |
+
"step": 825
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 65.37,
|
| 219 |
+
"learning_rate": 1.3888888888888892e-06,
|
| 220 |
+
"loss": 0.0003,
|
| 221 |
+
"step": 850
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 67.3,
|
| 225 |
+
"learning_rate": 1.1e-06,
|
| 226 |
+
"loss": 0.0003,
|
| 227 |
+
"step": 875
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 69.22,
|
| 231 |
+
"learning_rate": 8.111111111111112e-07,
|
| 232 |
+
"loss": 0.0003,
|
| 233 |
+
"step": 900
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 71.15,
|
| 237 |
+
"learning_rate": 5.222222222222223e-07,
|
| 238 |
+
"loss": 0.0003,
|
| 239 |
+
"step": 925
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 73.07,
|
| 243 |
+
"learning_rate": 2.3333333333333336e-07,
|
| 244 |
+
"loss": 0.0003,
|
| 245 |
+
"step": 950
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 74.96,
|
| 249 |
+
"learning_rate": 0.0,
|
| 250 |
+
"loss": 0.0003,
|
| 251 |
+
"step": 975
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 76.89,
|
| 255 |
+
"learning_rate": 0.0,
|
| 256 |
+
"loss": 0.0003,
|
| 257 |
+
"step": 1000
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 76.89,
|
| 261 |
+
"eval_loss": 0.67138671875,
|
| 262 |
+
"eval_runtime": 605.19,
|
| 263 |
+
"eval_samples_per_second": 1.619,
|
| 264 |
+
"eval_steps_per_second": 0.026,
|
| 265 |
+
"eval_wer": 27.832303917421104,
|
| 266 |
+
"step": 1000
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 76.89,
|
| 270 |
+
"step": 1000,
|
| 271 |
+
"total_flos": 1.384647263524592e+20,
|
| 272 |
+
"train_loss": 0.1158139866143465,
|
| 273 |
+
"train_runtime": 9638.6666,
|
| 274 |
+
"train_samples_per_second": 6.64,
|
| 275 |
+
"train_steps_per_second": 0.104
|
| 276 |
+
}
|
| 277 |
+
],
|
| 278 |
+
"max_steps": 1000,
|
| 279 |
+
"num_train_epochs": 77,
|
| 280 |
+
"total_flos": 1.384647263524592e+20,
|
| 281 |
+
"trial_name": null,
|
| 282 |
+
"trial_params": null
|
| 283 |
+
}
|