Extra epochs training
Browse files
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": 0.
|
| 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": 6.98,
|
| 3 |
+
"eval_accuracy": 0.87375,
|
| 4 |
+
"eval_loss": 0.4391254186630249,
|
| 5 |
+
"eval_runtime": 43.2356,
|
| 6 |
+
"eval_samples_per_second": 37.007,
|
| 7 |
+
"eval_steps_per_second": 0.578,
|
| 8 |
+
"total_flos": 2.784658737197482e+18,
|
| 9 |
+
"train_loss": 0.45341705913601676,
|
| 10 |
+
"train_runtime": 2059.1149,
|
| 11 |
+
"train_samples_per_second": 41.015,
|
| 12 |
+
"train_steps_per_second": 0.16
|
| 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": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 6.98,
|
| 3 |
+
"eval_accuracy": 0.87375,
|
| 4 |
+
"eval_loss": 0.4391254186630249,
|
| 5 |
+
"eval_runtime": 43.2356,
|
| 6 |
+
"eval_samples_per_second": 37.007,
|
| 7 |
+
"eval_steps_per_second": 0.578
|
| 8 |
}
|
runs/Apr22_01-57-25_25733e00f35f/events.out.tfevents.1682128678.25733e00f35f.544.12
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 sha256:12b3f2e0499f66f2356028ac5033c7ff56d5eaced70bb265cb43c2fa977a683c
|
| 3 |
+
size 18880
|
runs/Apr22_01-57-25_25733e00f35f/events.out.tfevents.1682131388.25733e00f35f.544.15
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1056d1d2a8358a8416e282fbbe0a5d21654f1017027460e8141275c83c610170
|
| 3 |
+
size 411
|
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": 6.98,
|
| 3 |
+
"total_flos": 2.784658737197482e+18,
|
| 4 |
+
"train_loss": 0.45341705913601676,
|
| 5 |
+
"train_runtime": 2059.1149,
|
| 6 |
+
"train_samples_per_second": 41.015,
|
| 7 |
+
"train_steps_per_second": 0.16
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-finetuned-thai/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -120,89 +120,161 @@
|
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 3.19,
|
| 123 |
-
"learning_rate":
|
| 124 |
-
"loss": 1.
|
| 125 |
"step": 150
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 3.4,
|
| 129 |
-
"learning_rate":
|
| 130 |
-
"loss": 1.
|
| 131 |
"step": 160
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 3.61,
|
| 135 |
-
"learning_rate":
|
| 136 |
-
"loss": 1.
|
| 137 |
"step": 170
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 3.83,
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss":
|
| 143 |
"step": 180
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 3.99,
|
| 147 |
-
"eval_accuracy": 0.
|
| 148 |
-
"eval_loss": 0.
|
| 149 |
-
"eval_runtime": 43.
|
| 150 |
-
"eval_samples_per_second": 36.
|
| 151 |
-
"eval_steps_per_second": 0.
|
| 152 |
"step": 188
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 4.04,
|
| 156 |
-
"learning_rate":
|
| 157 |
-
"loss":
|
| 158 |
"step": 190
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 4.25,
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss":
|
| 164 |
"step": 200
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 4.46,
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss":
|
| 170 |
"step": 210
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 4.67,
|
| 174 |
-
"learning_rate":
|
| 175 |
-
"loss":
|
| 176 |
"step": 220
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"epoch": 4.88,
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss":
|
| 182 |
"step": 230
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 4.99,
|
| 186 |
-
"eval_accuracy": 0.
|
| 187 |
-
"eval_loss": 0.
|
| 188 |
-
"eval_runtime":
|
| 189 |
-
"eval_samples_per_second": 36.
|
| 190 |
-
"eval_steps_per_second": 0.
|
| 191 |
"step": 235
|
| 192 |
},
|
| 193 |
{
|
| 194 |
-
"epoch":
|
| 195 |
-
"
|
| 196 |
-
"
|
| 197 |
-
"
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 201 |
}
|
| 202 |
],
|
| 203 |
-
"max_steps":
|
| 204 |
-
"num_train_epochs":
|
| 205 |
-
"total_flos":
|
| 206 |
"trial_name": null,
|
| 207 |
"trial_params": null
|
| 208 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.87375,
|
| 3 |
+
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-finetuned-thai/checkpoint-329",
|
| 4 |
+
"epoch": 6.978835978835979,
|
| 5 |
+
"global_step": 329,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 3.19,
|
| 123 |
+
"learning_rate": 3.0236486486486488e-05,
|
| 124 |
+
"loss": 1.0802,
|
| 125 |
"step": 150
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 3.4,
|
| 129 |
+
"learning_rate": 2.8547297297297298e-05,
|
| 130 |
+
"loss": 1.018,
|
| 131 |
"step": 160
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 3.61,
|
| 135 |
+
"learning_rate": 2.685810810810811e-05,
|
| 136 |
+
"loss": 1.0061,
|
| 137 |
"step": 170
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 3.83,
|
| 141 |
+
"learning_rate": 2.516891891891892e-05,
|
| 142 |
+
"loss": 0.9125,
|
| 143 |
"step": 180
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 3.99,
|
| 147 |
+
"eval_accuracy": 0.840625,
|
| 148 |
+
"eval_loss": 0.6059834361076355,
|
| 149 |
+
"eval_runtime": 43.4292,
|
| 150 |
+
"eval_samples_per_second": 36.842,
|
| 151 |
+
"eval_steps_per_second": 0.576,
|
| 152 |
"step": 188
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 4.04,
|
| 156 |
+
"learning_rate": 2.347972972972973e-05,
|
| 157 |
+
"loss": 0.8931,
|
| 158 |
"step": 190
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 4.25,
|
| 162 |
+
"learning_rate": 2.179054054054054e-05,
|
| 163 |
+
"loss": 0.8468,
|
| 164 |
"step": 200
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 4.46,
|
| 168 |
+
"learning_rate": 2.0101351351351353e-05,
|
| 169 |
+
"loss": 0.8092,
|
| 170 |
"step": 210
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 4.67,
|
| 174 |
+
"learning_rate": 1.8412162162162163e-05,
|
| 175 |
+
"loss": 0.7857,
|
| 176 |
"step": 220
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"epoch": 4.88,
|
| 180 |
+
"learning_rate": 1.6722972972972976e-05,
|
| 181 |
+
"loss": 0.7527,
|
| 182 |
"step": 230
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 4.99,
|
| 186 |
+
"eval_accuracy": 0.8575,
|
| 187 |
+
"eval_loss": 0.5213606953620911,
|
| 188 |
+
"eval_runtime": 44.0663,
|
| 189 |
+
"eval_samples_per_second": 36.309,
|
| 190 |
+
"eval_steps_per_second": 0.567,
|
| 191 |
"step": 235
|
| 192 |
},
|
| 193 |
{
|
| 194 |
+
"epoch": 5.1,
|
| 195 |
+
"learning_rate": 1.5033783783783784e-05,
|
| 196 |
+
"loss": 0.7727,
|
| 197 |
+
"step": 240
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 5.31,
|
| 201 |
+
"learning_rate": 1.3344594594594596e-05,
|
| 202 |
+
"loss": 0.731,
|
| 203 |
+
"step": 250
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 5.52,
|
| 207 |
+
"learning_rate": 1.1655405405405405e-05,
|
| 208 |
+
"loss": 0.7291,
|
| 209 |
+
"step": 260
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 5.73,
|
| 213 |
+
"learning_rate": 9.966216216216217e-06,
|
| 214 |
+
"loss": 0.6753,
|
| 215 |
+
"step": 270
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 5.94,
|
| 219 |
+
"learning_rate": 8.277027027027027e-06,
|
| 220 |
+
"loss": 0.6852,
|
| 221 |
+
"step": 280
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 5.98,
|
| 225 |
+
"eval_accuracy": 0.865625,
|
| 226 |
+
"eval_loss": 0.45880234241485596,
|
| 227 |
+
"eval_runtime": 43.8008,
|
| 228 |
+
"eval_samples_per_second": 36.529,
|
| 229 |
+
"eval_steps_per_second": 0.571,
|
| 230 |
+
"step": 282
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 6.15,
|
| 234 |
+
"learning_rate": 6.587837837837837e-06,
|
| 235 |
+
"loss": 0.7279,
|
| 236 |
+
"step": 290
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 6.37,
|
| 240 |
+
"learning_rate": 4.898648648648649e-06,
|
| 241 |
+
"loss": 0.6565,
|
| 242 |
+
"step": 300
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 6.58,
|
| 246 |
+
"learning_rate": 3.2094594594594594e-06,
|
| 247 |
+
"loss": 0.6914,
|
| 248 |
+
"step": 310
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 6.79,
|
| 252 |
+
"learning_rate": 1.5202702702702704e-06,
|
| 253 |
+
"loss": 0.6233,
|
| 254 |
+
"step": 320
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 6.98,
|
| 258 |
+
"eval_accuracy": 0.87375,
|
| 259 |
+
"eval_loss": 0.4391254186630249,
|
| 260 |
+
"eval_runtime": 43.5089,
|
| 261 |
+
"eval_samples_per_second": 36.774,
|
| 262 |
+
"eval_steps_per_second": 0.575,
|
| 263 |
+
"step": 329
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 6.98,
|
| 267 |
+
"step": 329,
|
| 268 |
+
"total_flos": 2.784658737197482e+18,
|
| 269 |
+
"train_loss": 0.45341705913601676,
|
| 270 |
+
"train_runtime": 2059.1149,
|
| 271 |
+
"train_samples_per_second": 41.015,
|
| 272 |
+
"train_steps_per_second": 0.16
|
| 273 |
}
|
| 274 |
],
|
| 275 |
+
"max_steps": 329,
|
| 276 |
+
"num_train_epochs": 7,
|
| 277 |
+
"total_flos": 2.784658737197482e+18,
|
| 278 |
"trial_name": null,
|
| 279 |
"trial_params": null
|
| 280 |
}
|