Commit
·
0f1fd61
1
Parent(s):
15de256
ThyroidTumorClassification
Browse files- all_results.json +10 -10
- eval_results.json +5 -5
- pytorch_model.bin +1 -1
- train_results.json +5 -5
- trainer_state.json +161 -161
- training_args.bin +1 -1
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"total_flos": 2.
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
+
"eval_f1": 0.8780487804878049,
|
| 4 |
+
"eval_loss": 0.5805598497390747,
|
| 5 |
+
"eval_runtime": 0.5669,
|
| 6 |
+
"eval_samples_per_second": 176.397,
|
| 7 |
+
"eval_steps_per_second": 7.056,
|
| 8 |
+
"total_flos": 2.7816295750742016e+17,
|
| 9 |
+
"train_loss": 0.517905675040351,
|
| 10 |
+
"train_runtime": 173.4592,
|
| 11 |
+
"train_samples_per_second": 63.819,
|
| 12 |
+
"train_steps_per_second": 0.519
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
+
"eval_f1": 0.8780487804878049,
|
| 4 |
+
"eval_loss": 0.5805598497390747,
|
| 5 |
+
"eval_runtime": 0.5669,
|
| 6 |
+
"eval_samples_per_second": 176.397,
|
| 7 |
+
"eval_steps_per_second": 7.056
|
| 8 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 111347349
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e79878a64b056dd7f9a915a586397ecc0f0542a41c021a2a5ed9710093168831
|
| 3 |
size 111347349
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
-
"total_flos": 2.
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 30.0,
|
| 3 |
+
"total_flos": 2.7816295750742016e+17,
|
| 4 |
+
"train_loss": 0.517905675040351,
|
| 5 |
+
"train_runtime": 173.4592,
|
| 6 |
+
"train_samples_per_second": 63.819,
|
| 7 |
+
"train_steps_per_second": 0.519
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "Cvt-finetuned-thyroid/checkpoint-
|
| 4 |
"epoch": 30.0,
|
| 5 |
"global_step": 90,
|
| 6 |
"is_hyper_param_search": false,
|
|
@@ -9,305 +9,305 @@
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 1.0,
|
| 12 |
-
"eval_f1": 0.
|
| 13 |
-
"eval_loss": 0.
|
| 14 |
-
"eval_runtime": 0.
|
| 15 |
-
"eval_samples_per_second":
|
| 16 |
-
"eval_steps_per_second":
|
| 17 |
"step": 3
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 2.0,
|
| 21 |
-
"eval_f1": 0.
|
| 22 |
-
"eval_loss": 0.
|
| 23 |
-
"eval_runtime": 0.
|
| 24 |
-
"eval_samples_per_second":
|
| 25 |
-
"eval_steps_per_second":
|
| 26 |
"step": 6
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 3.0,
|
| 30 |
-
"eval_f1": 0.
|
| 31 |
-
"eval_loss": 0.
|
| 32 |
-
"eval_runtime": 0.
|
| 33 |
-
"eval_samples_per_second":
|
| 34 |
-
"eval_steps_per_second":
|
| 35 |
"step": 9
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"epoch": 4.0,
|
| 39 |
-
"eval_f1": 0.
|
| 40 |
-
"eval_loss": 0.
|
| 41 |
-
"eval_runtime": 0.
|
| 42 |
-
"eval_samples_per_second":
|
| 43 |
-
"eval_steps_per_second":
|
| 44 |
"step": 12
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 5.0,
|
| 48 |
-
"eval_f1": 0.
|
| 49 |
-
"eval_loss": 0.
|
| 50 |
-
"eval_runtime": 0.
|
| 51 |
-
"eval_samples_per_second":
|
| 52 |
-
"eval_steps_per_second":
|
| 53 |
"step": 15
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 6.0,
|
| 57 |
-
"eval_f1": 0.
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_runtime": 0.
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second":
|
| 62 |
"step": 18
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 7.0,
|
| 66 |
-
"eval_f1": 0.
|
| 67 |
-
"eval_loss": 0.
|
| 68 |
-
"eval_runtime": 0.
|
| 69 |
-
"eval_samples_per_second":
|
| 70 |
-
"eval_steps_per_second":
|
| 71 |
"step": 21
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 8.0,
|
| 75 |
-
"eval_f1": 0.
|
| 76 |
-
"eval_loss": 0.
|
| 77 |
-
"eval_runtime": 0.
|
| 78 |
-
"eval_samples_per_second":
|
| 79 |
-
"eval_steps_per_second":
|
| 80 |
"step": 24
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 8.33,
|
| 84 |
"learning_rate": 8.024691358024692e-06,
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 25
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 9.0,
|
| 90 |
-
"eval_f1": 0.
|
| 91 |
-
"eval_loss": 0.
|
| 92 |
-
"eval_runtime": 0.
|
| 93 |
-
"eval_samples_per_second":
|
| 94 |
-
"eval_steps_per_second":
|
| 95 |
"step": 27
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 10.0,
|
| 99 |
-
"eval_f1": 0.
|
| 100 |
-
"eval_loss": 0.
|
| 101 |
-
"eval_runtime": 0.
|
| 102 |
-
"eval_samples_per_second":
|
| 103 |
-
"eval_steps_per_second":
|
| 104 |
"step": 30
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 11.0,
|
| 108 |
-
"eval_f1": 0.
|
| 109 |
-
"eval_loss": 0.
|
| 110 |
-
"eval_runtime": 0.
|
| 111 |
-
"eval_samples_per_second":
|
| 112 |
-
"eval_steps_per_second":
|
| 113 |
"step": 33
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 12.0,
|
| 117 |
-
"eval_f1": 0.
|
| 118 |
-
"eval_loss": 0.
|
| 119 |
-
"eval_runtime": 0.
|
| 120 |
-
"eval_samples_per_second":
|
| 121 |
-
"eval_steps_per_second":
|
| 122 |
"step": 36
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 13.0,
|
| 126 |
-
"eval_f1": 0.
|
| 127 |
-
"eval_loss": 0.
|
| 128 |
-
"eval_runtime": 0.
|
| 129 |
-
"eval_samples_per_second":
|
| 130 |
-
"eval_steps_per_second":
|
| 131 |
"step": 39
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 14.0,
|
| 135 |
-
"eval_f1": 0.
|
| 136 |
-
"eval_loss": 0.
|
| 137 |
-
"eval_runtime": 0.
|
| 138 |
-
"eval_samples_per_second":
|
| 139 |
-
"eval_steps_per_second":
|
| 140 |
"step": 42
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 15.0,
|
| 144 |
-
"eval_f1": 0.
|
| 145 |
-
"eval_loss": 0.
|
| 146 |
-
"eval_runtime": 0.
|
| 147 |
-
"eval_samples_per_second":
|
| 148 |
-
"eval_steps_per_second":
|
| 149 |
"step": 45
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 16.0,
|
| 153 |
-
"eval_f1": 0.
|
| 154 |
-
"eval_loss": 0.
|
| 155 |
-
"eval_runtime": 0.
|
| 156 |
-
"eval_samples_per_second":
|
| 157 |
-
"eval_steps_per_second":
|
| 158 |
"step": 48
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 16.67,
|
| 162 |
"learning_rate": 4.938271604938272e-06,
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 50
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 17.0,
|
| 168 |
-
"eval_f1": 0.
|
| 169 |
-
"eval_loss": 0.
|
| 170 |
-
"eval_runtime": 0.
|
| 171 |
-
"eval_samples_per_second":
|
| 172 |
-
"eval_steps_per_second":
|
| 173 |
"step": 51
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 18.0,
|
| 177 |
-
"eval_f1": 0.
|
| 178 |
-
"eval_loss": 0.
|
| 179 |
-
"eval_runtime": 0.
|
| 180 |
-
"eval_samples_per_second":
|
| 181 |
-
"eval_steps_per_second":
|
| 182 |
"step": 54
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 19.0,
|
| 186 |
-
"eval_f1": 0.
|
| 187 |
-
"eval_loss": 0.
|
| 188 |
-
"eval_runtime": 0.
|
| 189 |
-
"eval_samples_per_second":
|
| 190 |
-
"eval_steps_per_second":
|
| 191 |
"step": 57
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 20.0,
|
| 195 |
-
"eval_f1": 0.
|
| 196 |
-
"eval_loss": 0.
|
| 197 |
-
"eval_runtime": 0.
|
| 198 |
-
"eval_samples_per_second":
|
| 199 |
-
"eval_steps_per_second":
|
| 200 |
"step": 60
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 21.0,
|
| 204 |
-
"eval_f1": 0.
|
| 205 |
-
"eval_loss": 0.
|
| 206 |
-
"eval_runtime": 0.
|
| 207 |
-
"eval_samples_per_second":
|
| 208 |
-
"eval_steps_per_second":
|
| 209 |
"step": 63
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 22.0,
|
| 213 |
-
"eval_f1": 0.
|
| 214 |
-
"eval_loss": 0.
|
| 215 |
-
"eval_runtime": 0.
|
| 216 |
-
"eval_samples_per_second":
|
| 217 |
-
"eval_steps_per_second":
|
| 218 |
"step": 66
|
| 219 |
},
|
| 220 |
{
|
| 221 |
"epoch": 23.0,
|
| 222 |
-
"eval_f1": 0.
|
| 223 |
-
"eval_loss": 0.
|
| 224 |
-
"eval_runtime": 0.
|
| 225 |
-
"eval_samples_per_second":
|
| 226 |
-
"eval_steps_per_second":
|
| 227 |
"step": 69
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 24.0,
|
| 231 |
-
"eval_f1": 0.
|
| 232 |
-
"eval_loss": 0.
|
| 233 |
-
"eval_runtime": 0.
|
| 234 |
-
"eval_samples_per_second":
|
| 235 |
-
"eval_steps_per_second":
|
| 236 |
"step": 72
|
| 237 |
},
|
| 238 |
{
|
| 239 |
"epoch": 25.0,
|
| 240 |
"learning_rate": 1.8518518518518519e-06,
|
| 241 |
-
"loss": 0.
|
| 242 |
"step": 75
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 25.0,
|
| 246 |
-
"eval_f1": 0.
|
| 247 |
-
"eval_loss": 0.
|
| 248 |
-
"eval_runtime": 0.
|
| 249 |
-
"eval_samples_per_second":
|
| 250 |
-
"eval_steps_per_second":
|
| 251 |
"step": 75
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 26.0,
|
| 255 |
-
"eval_f1": 0.
|
| 256 |
-
"eval_loss": 0.
|
| 257 |
-
"eval_runtime": 0.
|
| 258 |
-
"eval_samples_per_second":
|
| 259 |
-
"eval_steps_per_second":
|
| 260 |
"step": 78
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 27.0,
|
| 264 |
-
"eval_f1": 0.
|
| 265 |
-
"eval_loss": 0.
|
| 266 |
-
"eval_runtime": 0.
|
| 267 |
-
"eval_samples_per_second":
|
| 268 |
-
"eval_steps_per_second":
|
| 269 |
"step": 81
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 28.0,
|
| 273 |
-
"eval_f1": 0.
|
| 274 |
-
"eval_loss": 0.
|
| 275 |
-
"eval_runtime": 0.
|
| 276 |
-
"eval_samples_per_second":
|
| 277 |
-
"eval_steps_per_second":
|
| 278 |
"step": 84
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 29.0,
|
| 282 |
-
"eval_f1": 0.
|
| 283 |
-
"eval_loss": 0.
|
| 284 |
-
"eval_runtime": 0.
|
| 285 |
-
"eval_samples_per_second":
|
| 286 |
-
"eval_steps_per_second":
|
| 287 |
"step": 87
|
| 288 |
},
|
| 289 |
{
|
| 290 |
"epoch": 30.0,
|
| 291 |
-
"eval_f1": 0.
|
| 292 |
-
"eval_loss": 0.
|
| 293 |
-
"eval_runtime": 0.
|
| 294 |
-
"eval_samples_per_second":
|
| 295 |
-
"eval_steps_per_second":
|
| 296 |
"step": 90
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 30.0,
|
| 300 |
"step": 90,
|
| 301 |
-
"total_flos": 2.
|
| 302 |
-
"train_loss": 0.
|
| 303 |
-
"train_runtime":
|
| 304 |
-
"train_samples_per_second":
|
| 305 |
-
"train_steps_per_second": 0.
|
| 306 |
}
|
| 307 |
],
|
| 308 |
"max_steps": 90,
|
| 309 |
"num_train_epochs": 30,
|
| 310 |
-
"total_flos": 2.
|
| 311 |
"trial_name": null,
|
| 312 |
"trial_params": null
|
| 313 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.8780487804878049,
|
| 3 |
+
"best_model_checkpoint": "Cvt-finetuned-thyroid/checkpoint-33",
|
| 4 |
"epoch": 30.0,
|
| 5 |
"global_step": 90,
|
| 6 |
"is_hyper_param_search": false,
|
|
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 1.0,
|
| 12 |
+
"eval_f1": 0.19148936170212766,
|
| 13 |
+
"eval_loss": 0.7407425045967102,
|
| 14 |
+
"eval_runtime": 0.5779,
|
| 15 |
+
"eval_samples_per_second": 173.027,
|
| 16 |
+
"eval_steps_per_second": 6.921,
|
| 17 |
"step": 3
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 2.0,
|
| 21 |
+
"eval_f1": 0.3773584905660377,
|
| 22 |
+
"eval_loss": 0.729247510433197,
|
| 23 |
+
"eval_runtime": 0.5528,
|
| 24 |
+
"eval_samples_per_second": 180.896,
|
| 25 |
+
"eval_steps_per_second": 7.236,
|
| 26 |
"step": 6
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 3.0,
|
| 30 |
+
"eval_f1": 0.4786324786324786,
|
| 31 |
+
"eval_loss": 0.7105527520179749,
|
| 32 |
+
"eval_runtime": 0.558,
|
| 33 |
+
"eval_samples_per_second": 179.203,
|
| 34 |
+
"eval_steps_per_second": 7.168,
|
| 35 |
"step": 9
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"epoch": 4.0,
|
| 39 |
+
"eval_f1": 0.6060606060606061,
|
| 40 |
+
"eval_loss": 0.6890331506729126,
|
| 41 |
+
"eval_runtime": 0.5504,
|
| 42 |
+
"eval_samples_per_second": 181.671,
|
| 43 |
+
"eval_steps_per_second": 7.267,
|
| 44 |
"step": 12
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 5.0,
|
| 48 |
+
"eval_f1": 0.7,
|
| 49 |
+
"eval_loss": 0.6695859432220459,
|
| 50 |
+
"eval_runtime": 0.5595,
|
| 51 |
+
"eval_samples_per_second": 178.745,
|
| 52 |
+
"eval_steps_per_second": 7.15,
|
| 53 |
"step": 15
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 6.0,
|
| 57 |
+
"eval_f1": 0.7761194029850746,
|
| 58 |
+
"eval_loss": 0.6517141461372375,
|
| 59 |
+
"eval_runtime": 0.5632,
|
| 60 |
+
"eval_samples_per_second": 177.548,
|
| 61 |
+
"eval_steps_per_second": 7.102,
|
| 62 |
"step": 18
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 7.0,
|
| 66 |
+
"eval_f1": 0.828125,
|
| 67 |
+
"eval_loss": 0.6349117755889893,
|
| 68 |
+
"eval_runtime": 0.5567,
|
| 69 |
+
"eval_samples_per_second": 179.616,
|
| 70 |
+
"eval_steps_per_second": 7.185,
|
| 71 |
"step": 21
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 8.0,
|
| 75 |
+
"eval_f1": 0.8503937007874015,
|
| 76 |
+
"eval_loss": 0.618772029876709,
|
| 77 |
+
"eval_runtime": 0.5546,
|
| 78 |
+
"eval_samples_per_second": 180.325,
|
| 79 |
+
"eval_steps_per_second": 7.213,
|
| 80 |
"step": 24
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 8.33,
|
| 84 |
"learning_rate": 8.024691358024692e-06,
|
| 85 |
+
"loss": 0.634,
|
| 86 |
"step": 25
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 9.0,
|
| 90 |
+
"eval_f1": 0.8709677419354839,
|
| 91 |
+
"eval_loss": 0.6039881706237793,
|
| 92 |
+
"eval_runtime": 0.5519,
|
| 93 |
+
"eval_samples_per_second": 181.185,
|
| 94 |
+
"eval_steps_per_second": 7.247,
|
| 95 |
"step": 27
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 10.0,
|
| 99 |
+
"eval_f1": 0.8709677419354839,
|
| 100 |
+
"eval_loss": 0.5912619829177856,
|
| 101 |
+
"eval_runtime": 0.5573,
|
| 102 |
+
"eval_samples_per_second": 179.441,
|
| 103 |
+
"eval_steps_per_second": 7.178,
|
| 104 |
"step": 30
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 11.0,
|
| 108 |
+
"eval_f1": 0.8780487804878049,
|
| 109 |
+
"eval_loss": 0.5805598497390747,
|
| 110 |
+
"eval_runtime": 0.5574,
|
| 111 |
+
"eval_samples_per_second": 179.394,
|
| 112 |
+
"eval_steps_per_second": 7.176,
|
| 113 |
"step": 33
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 12.0,
|
| 117 |
+
"eval_f1": 0.8688524590163933,
|
| 118 |
+
"eval_loss": 0.5723507404327393,
|
| 119 |
+
"eval_runtime": 0.5544,
|
| 120 |
+
"eval_samples_per_second": 180.362,
|
| 121 |
+
"eval_steps_per_second": 7.214,
|
| 122 |
"step": 36
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 13.0,
|
| 126 |
+
"eval_f1": 0.8688524590163933,
|
| 127 |
+
"eval_loss": 0.5652728080749512,
|
| 128 |
+
"eval_runtime": 0.5588,
|
| 129 |
+
"eval_samples_per_second": 178.951,
|
| 130 |
+
"eval_steps_per_second": 7.158,
|
| 131 |
"step": 39
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 14.0,
|
| 135 |
+
"eval_f1": 0.8688524590163933,
|
| 136 |
+
"eval_loss": 0.5592342019081116,
|
| 137 |
+
"eval_runtime": 0.5516,
|
| 138 |
+
"eval_samples_per_second": 181.294,
|
| 139 |
+
"eval_steps_per_second": 7.252,
|
| 140 |
"step": 42
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 15.0,
|
| 144 |
+
"eval_f1": 0.8760330578512396,
|
| 145 |
+
"eval_loss": 0.553566575050354,
|
| 146 |
+
"eval_runtime": 0.558,
|
| 147 |
+
"eval_samples_per_second": 179.226,
|
| 148 |
+
"eval_steps_per_second": 7.169,
|
| 149 |
"step": 45
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 16.0,
|
| 153 |
+
"eval_f1": 0.8760330578512396,
|
| 154 |
+
"eval_loss": 0.5487043857574463,
|
| 155 |
+
"eval_runtime": 0.5688,
|
| 156 |
+
"eval_samples_per_second": 175.802,
|
| 157 |
+
"eval_steps_per_second": 7.032,
|
| 158 |
"step": 48
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 16.67,
|
| 162 |
"learning_rate": 4.938271604938272e-06,
|
| 163 |
+
"loss": 0.5096,
|
| 164 |
"step": 50
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 17.0,
|
| 168 |
+
"eval_f1": 0.8760330578512396,
|
| 169 |
+
"eval_loss": 0.5434445142745972,
|
| 170 |
+
"eval_runtime": 0.5636,
|
| 171 |
+
"eval_samples_per_second": 177.42,
|
| 172 |
+
"eval_steps_per_second": 7.097,
|
| 173 |
"step": 51
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 18.0,
|
| 177 |
+
"eval_f1": 0.8760330578512396,
|
| 178 |
+
"eval_loss": 0.5385234951972961,
|
| 179 |
+
"eval_runtime": 0.561,
|
| 180 |
+
"eval_samples_per_second": 178.247,
|
| 181 |
+
"eval_steps_per_second": 7.13,
|
| 182 |
"step": 54
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 19.0,
|
| 186 |
+
"eval_f1": 0.8760330578512396,
|
| 187 |
+
"eval_loss": 0.5339138507843018,
|
| 188 |
+
"eval_runtime": 0.5531,
|
| 189 |
+
"eval_samples_per_second": 180.806,
|
| 190 |
+
"eval_steps_per_second": 7.232,
|
| 191 |
"step": 57
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 20.0,
|
| 195 |
+
"eval_f1": 0.8739495798319329,
|
| 196 |
+
"eval_loss": 0.5293477177619934,
|
| 197 |
+
"eval_runtime": 0.5612,
|
| 198 |
+
"eval_samples_per_second": 178.191,
|
| 199 |
+
"eval_steps_per_second": 7.128,
|
| 200 |
"step": 60
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 21.0,
|
| 204 |
+
"eval_f1": 0.8739495798319329,
|
| 205 |
+
"eval_loss": 0.5248751640319824,
|
| 206 |
+
"eval_runtime": 0.554,
|
| 207 |
+
"eval_samples_per_second": 180.518,
|
| 208 |
+
"eval_steps_per_second": 7.221,
|
| 209 |
"step": 63
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 22.0,
|
| 213 |
+
"eval_f1": 0.8739495798319329,
|
| 214 |
+
"eval_loss": 0.5204405784606934,
|
| 215 |
+
"eval_runtime": 0.564,
|
| 216 |
+
"eval_samples_per_second": 177.317,
|
| 217 |
+
"eval_steps_per_second": 7.093,
|
| 218 |
"step": 66
|
| 219 |
},
|
| 220 |
{
|
| 221 |
"epoch": 23.0,
|
| 222 |
+
"eval_f1": 0.8739495798319329,
|
| 223 |
+
"eval_loss": 0.5157800912857056,
|
| 224 |
+
"eval_runtime": 0.5507,
|
| 225 |
+
"eval_samples_per_second": 181.589,
|
| 226 |
+
"eval_steps_per_second": 7.264,
|
| 227 |
"step": 69
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 24.0,
|
| 231 |
+
"eval_f1": 0.8739495798319329,
|
| 232 |
+
"eval_loss": 0.5112195014953613,
|
| 233 |
+
"eval_runtime": 0.5502,
|
| 234 |
+
"eval_samples_per_second": 181.737,
|
| 235 |
+
"eval_steps_per_second": 7.269,
|
| 236 |
"step": 72
|
| 237 |
},
|
| 238 |
{
|
| 239 |
"epoch": 25.0,
|
| 240 |
"learning_rate": 1.8518518518518519e-06,
|
| 241 |
+
"loss": 0.4584,
|
| 242 |
"step": 75
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 25.0,
|
| 246 |
+
"eval_f1": 0.8739495798319329,
|
| 247 |
+
"eval_loss": 0.5078128576278687,
|
| 248 |
+
"eval_runtime": 0.5542,
|
| 249 |
+
"eval_samples_per_second": 180.427,
|
| 250 |
+
"eval_steps_per_second": 7.217,
|
| 251 |
"step": 75
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 26.0,
|
| 255 |
+
"eval_f1": 0.8739495798319329,
|
| 256 |
+
"eval_loss": 0.5054234266281128,
|
| 257 |
+
"eval_runtime": 0.5564,
|
| 258 |
+
"eval_samples_per_second": 179.717,
|
| 259 |
+
"eval_steps_per_second": 7.189,
|
| 260 |
"step": 78
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 27.0,
|
| 264 |
+
"eval_f1": 0.8739495798319329,
|
| 265 |
+
"eval_loss": 0.503419041633606,
|
| 266 |
+
"eval_runtime": 0.5536,
|
| 267 |
+
"eval_samples_per_second": 180.639,
|
| 268 |
+
"eval_steps_per_second": 7.226,
|
| 269 |
"step": 81
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 28.0,
|
| 273 |
+
"eval_f1": 0.8739495798319329,
|
| 274 |
+
"eval_loss": 0.5020792484283447,
|
| 275 |
+
"eval_runtime": 0.5563,
|
| 276 |
+
"eval_samples_per_second": 179.771,
|
| 277 |
+
"eval_steps_per_second": 7.191,
|
| 278 |
"step": 84
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 29.0,
|
| 282 |
+
"eval_f1": 0.8739495798319329,
|
| 283 |
+
"eval_loss": 0.5012262463569641,
|
| 284 |
+
"eval_runtime": 0.5542,
|
| 285 |
+
"eval_samples_per_second": 180.449,
|
| 286 |
+
"eval_steps_per_second": 7.218,
|
| 287 |
"step": 87
|
| 288 |
},
|
| 289 |
{
|
| 290 |
"epoch": 30.0,
|
| 291 |
+
"eval_f1": 0.8739495798319329,
|
| 292 |
+
"eval_loss": 0.50089430809021,
|
| 293 |
+
"eval_runtime": 0.553,
|
| 294 |
+
"eval_samples_per_second": 180.845,
|
| 295 |
+
"eval_steps_per_second": 7.234,
|
| 296 |
"step": 90
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 30.0,
|
| 300 |
"step": 90,
|
| 301 |
+
"total_flos": 2.7816295750742016e+17,
|
| 302 |
+
"train_loss": 0.517905675040351,
|
| 303 |
+
"train_runtime": 173.4592,
|
| 304 |
+
"train_samples_per_second": 63.819,
|
| 305 |
+
"train_steps_per_second": 0.519
|
| 306 |
}
|
| 307 |
],
|
| 308 |
"max_steps": 90,
|
| 309 |
"num_train_epochs": 30,
|
| 310 |
+
"total_flos": 2.7816295750742016e+17,
|
| 311 |
"trial_name": null,
|
| 312 |
"trial_params": null
|
| 313 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3311
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc0e695a5fa30200b1f5ebbb0c0f59e54cb992144a4b6448fa0dabb43ede9cbf
|
| 3 |
size 3311
|