Upload folder using huggingface_hub
Browse files
attention_kindselective_n_heads4_seed1339/args.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1339", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr":
|
|
|
|
| 1 |
+
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1339", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 2.75e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "2.75e-5_30720_4_1339", "n_embd": 256}
|
attention_kindselective_n_heads4_seed1339/log2.txt
CHANGED
|
@@ -1,528 +1,528 @@
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2810
|
| 3 |
0 val perplexity 79298.4922
|
| 4 |
-
0 train 11.295413 (lr=1.
|
| 5 |
-
100 val loss 9.
|
| 6 |
-
100 val perplexity
|
| 7 |
-
100 train
|
| 8 |
-
200 val loss 8.
|
| 9 |
-
200 val perplexity
|
| 10 |
-
200 train 8.
|
| 11 |
-
300 val loss 7.
|
| 12 |
-
300 val perplexity
|
| 13 |
-
300 train 7.
|
| 14 |
-
400 val loss 7.
|
| 15 |
-
400 val perplexity
|
| 16 |
-
400 train 7.
|
| 17 |
-
500 val loss 7.
|
| 18 |
-
500 val perplexity
|
| 19 |
-
500 train 7.
|
| 20 |
-
600 val loss 7.
|
| 21 |
-
600 val perplexity
|
| 22 |
-
600 train 7.
|
| 23 |
-
700 val loss 7.
|
| 24 |
-
700 val perplexity
|
| 25 |
-
700 train 7.
|
| 26 |
-
800 val loss 7.
|
| 27 |
-
800 val perplexity
|
| 28 |
-
800 train 7.
|
| 29 |
-
900 val loss 7.
|
| 30 |
-
900 val perplexity
|
| 31 |
-
900 train 7.
|
| 32 |
-
1000 val loss 7.
|
| 33 |
-
1000 val perplexity
|
| 34 |
-
1000 train 7.
|
| 35 |
-
1100 val loss 7.
|
| 36 |
-
1100 val perplexity
|
| 37 |
-
1100 train 7.
|
| 38 |
-
1200 val loss 7.
|
| 39 |
-
1200 val perplexity
|
| 40 |
-
1200 train 7.
|
| 41 |
-
1300 val loss 7.
|
| 42 |
-
1300 val perplexity
|
| 43 |
-
1300 train 7.
|
| 44 |
-
1400 val loss 7.
|
| 45 |
-
1400 val perplexity
|
| 46 |
-
1400 train 7.
|
| 47 |
-
1500 val loss 7.
|
| 48 |
-
1500 val perplexity
|
| 49 |
-
1500 train
|
| 50 |
-
1600 val loss 7.
|
| 51 |
-
1600 val perplexity
|
| 52 |
-
1600 train
|
| 53 |
-
1700 val loss 7.
|
| 54 |
-
1700 val perplexity
|
| 55 |
-
1700 train
|
| 56 |
-
1800 val loss
|
| 57 |
-
1800 val perplexity
|
| 58 |
-
1800 train
|
| 59 |
-
1900 val loss
|
| 60 |
-
1900 val perplexity
|
| 61 |
-
1900 train
|
| 62 |
-
2000 val loss
|
| 63 |
-
2000 val perplexity
|
| 64 |
-
2000 train 6.
|
| 65 |
-
2100 val loss
|
| 66 |
-
2100 val perplexity
|
| 67 |
-
2100 train 6.
|
| 68 |
-
2200 val loss
|
| 69 |
-
2200 val perplexity
|
| 70 |
-
2200 train 7.
|
| 71 |
-
2300 val loss
|
| 72 |
-
2300 val perplexity
|
| 73 |
-
2300 train
|
| 74 |
-
2400 val loss
|
| 75 |
-
2400 val perplexity
|
| 76 |
-
2400 train 6.
|
| 77 |
-
2500 val loss
|
| 78 |
-
2500 val perplexity
|
| 79 |
-
2500 train 6.
|
| 80 |
-
2600 val loss
|
| 81 |
-
2600 val perplexity
|
| 82 |
-
2600 train 6.
|
| 83 |
-
2700 val loss
|
| 84 |
-
2700 val perplexity
|
| 85 |
-
2700 train 6.
|
| 86 |
-
2800 val loss
|
| 87 |
-
2800 val perplexity
|
| 88 |
-
2800 train
|
| 89 |
-
2900 val loss
|
| 90 |
-
2900 val perplexity
|
| 91 |
-
2900 train 6.
|
| 92 |
-
3000 val loss
|
| 93 |
-
3000 val perplexity
|
| 94 |
-
3000 train
|
| 95 |
-
3100 val loss 6.
|
| 96 |
-
3100 val perplexity
|
| 97 |
-
3100 train
|
| 98 |
-
3200 val loss 6.
|
| 99 |
-
3200 val perplexity
|
| 100 |
-
3200 train 6.
|
| 101 |
-
3300 val loss 6.
|
| 102 |
-
3300 val perplexity
|
| 103 |
-
3300 train
|
| 104 |
-
3400 val loss 6.
|
| 105 |
-
3400 val perplexity
|
| 106 |
-
3400 train
|
| 107 |
-
3500 val loss 6.
|
| 108 |
-
3500 val perplexity
|
| 109 |
-
3500 train 6.
|
| 110 |
-
3600 val loss 6.
|
| 111 |
-
3600 val perplexity
|
| 112 |
-
3600 train 6.
|
| 113 |
-
3700 val loss 6.
|
| 114 |
-
3700 val perplexity
|
| 115 |
-
3700 train
|
| 116 |
-
3800 val loss 6.
|
| 117 |
-
3800 val perplexity
|
| 118 |
-
3800 train 6.
|
| 119 |
-
3900 val loss 6.
|
| 120 |
-
3900 val perplexity
|
| 121 |
-
3900 train 6.
|
| 122 |
-
4000 val loss 6.
|
| 123 |
-
4000 val perplexity
|
| 124 |
-
4000 train 6.
|
| 125 |
-
4100 val loss 6.
|
| 126 |
-
4100 val perplexity
|
| 127 |
-
4100 train
|
| 128 |
-
4200 val loss 6.
|
| 129 |
-
4200 val perplexity
|
| 130 |
-
4200 train 6.
|
| 131 |
-
4300 val loss 6.
|
| 132 |
-
4300 val perplexity
|
| 133 |
-
4300 train 6.
|
| 134 |
-
4400 val loss 6.
|
| 135 |
-
4400 val perplexity
|
| 136 |
-
4400 train 6.
|
| 137 |
-
4500 val loss 6.
|
| 138 |
-
4500 val perplexity
|
| 139 |
-
4500 train 6.
|
| 140 |
-
4600 val loss 6.
|
| 141 |
-
4600 val perplexity
|
| 142 |
-
4600 train
|
| 143 |
-
4700 val loss 6.
|
| 144 |
-
4700 val perplexity
|
| 145 |
-
4700 train 6.
|
| 146 |
-
4800 val loss 6.
|
| 147 |
-
4800 val perplexity
|
| 148 |
-
4800 train 6.
|
| 149 |
-
4900 val loss 6.
|
| 150 |
-
4900 val perplexity
|
| 151 |
-
4900 train 6.
|
| 152 |
-
5000 val loss 6.
|
| 153 |
-
5000 val perplexity
|
| 154 |
-
5000 train 6.
|
| 155 |
-
5100 val loss 6.
|
| 156 |
-
5100 val perplexity
|
| 157 |
-
5100 train 6.
|
| 158 |
-
5200 val loss 6.
|
| 159 |
-
5200 val perplexity
|
| 160 |
-
5200 train 6.
|
| 161 |
-
5300 val loss 6.
|
| 162 |
-
5300 val perplexity
|
| 163 |
-
5300 train 6.
|
| 164 |
-
5400 val loss 6.
|
| 165 |
-
5400 val perplexity
|
| 166 |
-
5400 train 6.
|
| 167 |
-
5500 val loss 6.
|
| 168 |
-
5500 val perplexity
|
| 169 |
-
5500 train 6.
|
| 170 |
-
5600 val loss 6.
|
| 171 |
-
5600 val perplexity
|
| 172 |
-
5600 train 6.
|
| 173 |
-
5700 val loss 6.
|
| 174 |
-
5700 val perplexity
|
| 175 |
-
5700 train
|
| 176 |
-
5800 val loss 6.
|
| 177 |
-
5800 val perplexity
|
| 178 |
-
5800 train 6.
|
| 179 |
-
5900 val loss 6.
|
| 180 |
-
5900 val perplexity
|
| 181 |
-
5900 train
|
| 182 |
-
6000 val loss 6.
|
| 183 |
-
6000 val perplexity
|
| 184 |
-
6000 train 6.
|
| 185 |
-
6100 val loss 6.
|
| 186 |
-
6100 val perplexity
|
| 187 |
-
6100 train 6.
|
| 188 |
-
6200 val loss
|
| 189 |
-
6200 val perplexity
|
| 190 |
-
6200 train
|
| 191 |
-
6300 val loss
|
| 192 |
-
6300 val perplexity
|
| 193 |
-
6300 train 6.
|
| 194 |
-
6400 val loss
|
| 195 |
-
6400 val perplexity
|
| 196 |
-
6400 train
|
| 197 |
-
6500 val loss
|
| 198 |
-
6500 val perplexity
|
| 199 |
-
6500 train
|
| 200 |
-
6600 val loss
|
| 201 |
-
6600 val perplexity
|
| 202 |
-
6600 train
|
| 203 |
-
6700 val loss
|
| 204 |
-
6700 val perplexity
|
| 205 |
-
6700 train
|
| 206 |
-
6800 val loss
|
| 207 |
-
6800 val perplexity
|
| 208 |
-
6800 train
|
| 209 |
-
6900 val loss
|
| 210 |
-
6900 val perplexity
|
| 211 |
-
6900 train
|
| 212 |
-
7000 val loss
|
| 213 |
-
7000 val perplexity
|
| 214 |
-
7000 train
|
| 215 |
-
7100 val loss
|
| 216 |
-
7100 val perplexity
|
| 217 |
-
7100 train
|
| 218 |
-
7200 val loss
|
| 219 |
-
7200 val perplexity
|
| 220 |
-
7200 train
|
| 221 |
-
7300 val loss
|
| 222 |
-
7300 val perplexity
|
| 223 |
-
7300 train
|
| 224 |
-
7400 val loss
|
| 225 |
-
7400 val perplexity
|
| 226 |
-
7400 train
|
| 227 |
-
7500 val loss
|
| 228 |
-
7500 val perplexity
|
| 229 |
-
7500 train
|
| 230 |
-
7600 val loss
|
| 231 |
-
7600 val perplexity
|
| 232 |
-
7600 train
|
| 233 |
-
7700 val loss
|
| 234 |
-
7700 val perplexity
|
| 235 |
-
7700 train
|
| 236 |
-
7800 val loss
|
| 237 |
-
7800 val perplexity
|
| 238 |
-
7800 train
|
| 239 |
-
7900 val loss
|
| 240 |
-
7900 val perplexity
|
| 241 |
-
7900 train
|
| 242 |
-
8000 val loss
|
| 243 |
-
8000 val perplexity
|
| 244 |
-
8000 train 6.
|
| 245 |
-
8100 val loss
|
| 246 |
-
8100 val perplexity
|
| 247 |
-
8100 train
|
| 248 |
-
8200 val loss
|
| 249 |
-
8200 val perplexity
|
| 250 |
-
8200 train
|
| 251 |
-
8300 val loss
|
| 252 |
-
8300 val perplexity
|
| 253 |
-
8300 train
|
| 254 |
-
8400 val loss
|
| 255 |
-
8400 val perplexity
|
| 256 |
-
8400 train
|
| 257 |
-
8500 val loss
|
| 258 |
-
8500 val perplexity
|
| 259 |
-
8500 train
|
| 260 |
-
8600 val loss
|
| 261 |
-
8600 val perplexity
|
| 262 |
-
8600 train
|
| 263 |
-
8700 val loss
|
| 264 |
-
8700 val perplexity
|
| 265 |
-
8700 train
|
| 266 |
-
8800 val loss
|
| 267 |
-
8800 val perplexity
|
| 268 |
-
8800 train 5.
|
| 269 |
-
8900 val loss
|
| 270 |
-
8900 val perplexity
|
| 271 |
-
8900 train
|
| 272 |
-
9000 val loss
|
| 273 |
-
9000 val perplexity
|
| 274 |
-
9000 train 5.
|
| 275 |
-
9100 val loss
|
| 276 |
-
9100 val perplexity
|
| 277 |
-
9100 train
|
| 278 |
-
9200 val loss
|
| 279 |
-
9200 val perplexity
|
| 280 |
-
9200 train
|
| 281 |
-
9300 val loss
|
| 282 |
-
9300 val perplexity
|
| 283 |
-
9300 train
|
| 284 |
-
9400 val loss
|
| 285 |
-
9400 val perplexity
|
| 286 |
-
9400 train
|
| 287 |
-
9500 val loss
|
| 288 |
-
9500 val perplexity
|
| 289 |
-
9500 train
|
| 290 |
-
9600 val loss
|
| 291 |
-
9600 val perplexity
|
| 292 |
-
9600 train
|
| 293 |
-
9700 val loss
|
| 294 |
-
9700 val perplexity
|
| 295 |
-
9700 train 5.
|
| 296 |
-
9800 val loss
|
| 297 |
-
9800 val perplexity
|
| 298 |
-
9800 train
|
| 299 |
-
9900 val loss
|
| 300 |
-
9900 val perplexity
|
| 301 |
-
9900 train 5.
|
| 302 |
-
10000 val loss
|
| 303 |
-
10000 val perplexity
|
| 304 |
-
10000 train
|
| 305 |
-
10100 val loss
|
| 306 |
-
10100 val perplexity
|
| 307 |
-
10100 train 5.
|
| 308 |
-
10200 val loss
|
| 309 |
-
10200 val perplexity
|
| 310 |
-
10200 train 5.
|
| 311 |
-
10300 val loss
|
| 312 |
-
10300 val perplexity
|
| 313 |
-
10300 train
|
| 314 |
-
10400 val loss
|
| 315 |
-
10400 val perplexity
|
| 316 |
-
10400 train 5.
|
| 317 |
-
10500 val loss
|
| 318 |
-
10500 val perplexity
|
| 319 |
-
10500 train 5.
|
| 320 |
-
10600 val loss
|
| 321 |
-
10600 val perplexity
|
| 322 |
-
10600 train
|
| 323 |
-
10700 val loss
|
| 324 |
-
10700 val perplexity
|
| 325 |
-
10700 train 5.
|
| 326 |
-
10800 val loss
|
| 327 |
-
10800 val perplexity
|
| 328 |
-
10800 train 5.
|
| 329 |
-
10900 val loss
|
| 330 |
-
10900 val perplexity
|
| 331 |
-
10900 train 5.
|
| 332 |
-
11000 val loss
|
| 333 |
-
11000 val perplexity
|
| 334 |
-
11000 train 5.
|
| 335 |
-
11100 val loss
|
| 336 |
-
11100 val perplexity
|
| 337 |
-
11100 train 5.
|
| 338 |
-
11200 val loss
|
| 339 |
-
11200 val perplexity
|
| 340 |
-
11200 train
|
| 341 |
-
11300 val loss
|
| 342 |
-
11300 val perplexity
|
| 343 |
-
11300 train 5.
|
| 344 |
-
11400 val loss
|
| 345 |
-
11400 val perplexity
|
| 346 |
-
11400 train
|
| 347 |
-
11500 val loss 5.
|
| 348 |
-
11500 val perplexity
|
| 349 |
-
11500 train
|
| 350 |
-
11600 val loss 5.
|
| 351 |
-
11600 val perplexity
|
| 352 |
-
11600 train 5.
|
| 353 |
-
11700 val loss 5.
|
| 354 |
-
11700 val perplexity
|
| 355 |
-
11700 train 5.
|
| 356 |
-
11800 val loss 5.
|
| 357 |
-
11800 val perplexity
|
| 358 |
-
11800 train 6.
|
| 359 |
-
11900 val loss 5.
|
| 360 |
-
11900 val perplexity
|
| 361 |
-
11900 train 5.
|
| 362 |
-
12000 val loss 5.
|
| 363 |
-
12000 val perplexity
|
| 364 |
-
12000 train 5.
|
| 365 |
-
12100 val loss 5.
|
| 366 |
-
12100 val perplexity
|
| 367 |
-
12100 train 5.
|
| 368 |
-
12200 val loss 5.
|
| 369 |
-
12200 val perplexity
|
| 370 |
-
12200 train
|
| 371 |
-
12300 val loss 5.
|
| 372 |
-
12300 val perplexity
|
| 373 |
-
12300 train 5.
|
| 374 |
-
12400 val loss 5.
|
| 375 |
-
12400 val perplexity
|
| 376 |
-
12400 train 5.
|
| 377 |
-
12500 val loss 5.
|
| 378 |
-
12500 val perplexity
|
| 379 |
-
12500 train 5.
|
| 380 |
-
12600 val loss 5.
|
| 381 |
-
12600 val perplexity
|
| 382 |
-
12600 train
|
| 383 |
-
12700 val loss 5.
|
| 384 |
-
12700 val perplexity
|
| 385 |
-
12700 train 5.
|
| 386 |
-
12800 val loss 5.
|
| 387 |
-
12800 val perplexity
|
| 388 |
-
12800 train 5.
|
| 389 |
-
12900 val loss 5.
|
| 390 |
-
12900 val perplexity
|
| 391 |
-
12900 train 5.
|
| 392 |
-
13000 val loss 5.
|
| 393 |
-
13000 val perplexity
|
| 394 |
-
13000 train 5.
|
| 395 |
-
13100 val loss 5.
|
| 396 |
-
13100 val perplexity
|
| 397 |
-
13100 train
|
| 398 |
-
13200 val loss 5.
|
| 399 |
-
13200 val perplexity
|
| 400 |
-
13200 train 5.
|
| 401 |
-
13300 val loss 5.
|
| 402 |
-
13300 val perplexity
|
| 403 |
-
13300 train 5.
|
| 404 |
-
13400 val loss 5.
|
| 405 |
-
13400 val perplexity
|
| 406 |
-
13400 train 5.
|
| 407 |
-
13500 val loss 5.
|
| 408 |
-
13500 val perplexity
|
| 409 |
-
13500 train 5.
|
| 410 |
-
13600 val loss 5.
|
| 411 |
-
13600 val perplexity
|
| 412 |
-
13600 train 5.
|
| 413 |
-
13700 val loss 5.
|
| 414 |
-
13700 val perplexity
|
| 415 |
-
13700 train 5.
|
| 416 |
-
13800 val loss 5.
|
| 417 |
-
13800 val perplexity
|
| 418 |
-
13800 train
|
| 419 |
-
13900 val loss 5.
|
| 420 |
-
13900 val perplexity
|
| 421 |
-
13900 train 5.
|
| 422 |
-
14000 val loss 5.
|
| 423 |
-
14000 val perplexity
|
| 424 |
-
14000 train 5.
|
| 425 |
-
14100 val loss 5.
|
| 426 |
-
14100 val perplexity
|
| 427 |
-
14100 train 5.
|
| 428 |
-
14200 val loss 5.
|
| 429 |
-
14200 val perplexity
|
| 430 |
-
14200 train 5.
|
| 431 |
-
14300 val loss 5.
|
| 432 |
-
14300 val perplexity
|
| 433 |
-
14300 train
|
| 434 |
-
14400 val loss 5.
|
| 435 |
-
14400 val perplexity
|
| 436 |
-
14400 train 5.
|
| 437 |
-
14500 val loss 5.
|
| 438 |
-
14500 val perplexity
|
| 439 |
-
14500 train 5.
|
| 440 |
-
14600 val loss 5.
|
| 441 |
-
14600 val perplexity
|
| 442 |
-
14600 train
|
| 443 |
-
14700 val loss 5.
|
| 444 |
-
14700 val perplexity
|
| 445 |
-
14700 train 5.
|
| 446 |
-
14800 val loss 5.
|
| 447 |
-
14800 val perplexity
|
| 448 |
-
14800 train 5.
|
| 449 |
-
14900 val loss 5.
|
| 450 |
-
14900 val perplexity
|
| 451 |
-
14900 train 5.
|
| 452 |
-
15000 val loss 5.
|
| 453 |
-
15000 val perplexity
|
| 454 |
-
15000 train 5.
|
| 455 |
-
15100 val loss 5.
|
| 456 |
-
15100 val perplexity
|
| 457 |
-
15100 train 5.
|
| 458 |
-
15200 val loss 5.
|
| 459 |
-
15200 val perplexity
|
| 460 |
-
15200 train 5.
|
| 461 |
-
15300 val loss 5.
|
| 462 |
-
15300 val perplexity
|
| 463 |
-
15300 train 5.
|
| 464 |
-
15400 val loss 5.
|
| 465 |
-
15400 val perplexity
|
| 466 |
-
15400 train
|
| 467 |
-
15500 val loss 5.
|
| 468 |
-
15500 val perplexity
|
| 469 |
-
15500 train 5.
|
| 470 |
-
15600 val loss 5.
|
| 471 |
-
15600 val perplexity
|
| 472 |
-
15600 train 5.
|
| 473 |
-
15700 val loss 5.
|
| 474 |
-
15700 val perplexity
|
| 475 |
-
15700 train 5.
|
| 476 |
-
15800 val loss 5.
|
| 477 |
-
15800 val perplexity
|
| 478 |
-
15800 train 5.
|
| 479 |
-
15900 val loss 5.
|
| 480 |
-
15900 val perplexity
|
| 481 |
-
15900 train 5.
|
| 482 |
-
16000 val loss 5.
|
| 483 |
-
16000 val perplexity
|
| 484 |
-
16000 train 5.
|
| 485 |
-
16100 val loss 5.
|
| 486 |
-
16100 val perplexity
|
| 487 |
-
16100 train 5.
|
| 488 |
-
16200 val loss 5.
|
| 489 |
-
16200 val perplexity
|
| 490 |
-
16200 train
|
| 491 |
-
16300 val loss 5.
|
| 492 |
-
16300 val perplexity
|
| 493 |
-
16300 train
|
| 494 |
-
16400 val loss 5.
|
| 495 |
-
16400 val perplexity
|
| 496 |
-
16400 train 5.
|
| 497 |
-
16500 val loss 5.
|
| 498 |
-
16500 val perplexity
|
| 499 |
-
16500 train 5.
|
| 500 |
-
16600 val loss 5.
|
| 501 |
-
16600 val perplexity
|
| 502 |
-
16600 train 5.
|
| 503 |
-
16700 val loss 5.
|
| 504 |
-
16700 val perplexity
|
| 505 |
-
16700 train 5.
|
| 506 |
-
16800 val loss 5.
|
| 507 |
-
16800 val perplexity
|
| 508 |
-
16800 train 5.
|
| 509 |
-
16900 val loss 5.
|
| 510 |
-
16900 val perplexity
|
| 511 |
-
16900 train 5.
|
| 512 |
-
17000 val loss 5.
|
| 513 |
-
17000 val perplexity
|
| 514 |
-
17000 train 5.
|
| 515 |
-
17100 val loss 5.
|
| 516 |
-
17100 val perplexity
|
| 517 |
-
17100 train 5.
|
| 518 |
-
17200 val loss 5.
|
| 519 |
-
17200 val perplexity
|
| 520 |
-
17200 train 5.
|
| 521 |
-
17300 val loss 5.
|
| 522 |
-
17300 val perplexity
|
| 523 |
-
17300 train 5.
|
| 524 |
-
17400 val loss 5.
|
| 525 |
-
17400 val perplexity
|
| 526 |
-
17400 train 5.
|
| 527 |
-
17499 val loss 5.
|
| 528 |
-
17499 val perplexity
|
|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2810
|
| 3 |
0 val perplexity 79298.4922
|
| 4 |
+
0 train 11.295413 (lr=1.3750e-07) (hash(x)=150724848)
|
| 5 |
+
100 val loss 9.9603
|
| 6 |
+
100 val perplexity 21170.0430
|
| 7 |
+
100 train 10.007094 (lr=1.3888e-05) (hash(x)=149217061)
|
| 8 |
+
200 val loss 8.9723
|
| 9 |
+
200 val perplexity 7882.0664
|
| 10 |
+
200 train 8.990173 (lr=2.7500e-05) (hash(x)=149910534)
|
| 11 |
+
300 val loss 7.9449
|
| 12 |
+
300 val perplexity 2821.2769
|
| 13 |
+
300 train 7.869526 (lr=2.7498e-05) (hash(x)=142185643)
|
| 14 |
+
400 val loss 7.6747
|
| 15 |
+
400 val perplexity 2153.2439
|
| 16 |
+
400 train 7.723728 (lr=2.7492e-05) (hash(x)=148123706)
|
| 17 |
+
500 val loss 7.5919
|
| 18 |
+
500 val perplexity 1982.0444
|
| 19 |
+
500 train 7.469253 (lr=2.7482e-05) (hash(x)=149952383)
|
| 20 |
+
600 val loss 7.5425
|
| 21 |
+
600 val perplexity 1886.4757
|
| 22 |
+
600 train 7.369303 (lr=2.7467e-05) (hash(x)=146678221)
|
| 23 |
+
700 val loss 7.4943
|
| 24 |
+
700 val perplexity 1797.8137
|
| 25 |
+
700 train 7.524321 (lr=2.7449e-05) (hash(x)=156180736)
|
| 26 |
+
800 val loss 7.4513
|
| 27 |
+
800 val perplexity 1722.1606
|
| 28 |
+
800 train 7.442773 (lr=2.7427e-05) (hash(x)=151700982)
|
| 29 |
+
900 val loss 7.4230
|
| 30 |
+
900 val perplexity 1673.9784
|
| 31 |
+
900 train 7.216110 (lr=2.7400e-05) (hash(x)=147288467)
|
| 32 |
+
1000 val loss 7.3971
|
| 33 |
+
1000 val perplexity 1631.3278
|
| 34 |
+
1000 train 7.439397 (lr=2.7370e-05) (hash(x)=156182087)
|
| 35 |
+
1100 val loss 7.3783
|
| 36 |
+
1100 val perplexity 1600.9114
|
| 37 |
+
1100 train 7.255154 (lr=2.7335e-05) (hash(x)=147861550)
|
| 38 |
+
1200 val loss 7.3593
|
| 39 |
+
1200 val perplexity 1570.6859
|
| 40 |
+
1200 train 7.232437 (lr=2.7297e-05) (hash(x)=149318660)
|
| 41 |
+
1300 val loss 7.3489
|
| 42 |
+
1300 val perplexity 1554.4735
|
| 43 |
+
1300 train 7.209687 (lr=2.7254e-05) (hash(x)=151631103)
|
| 44 |
+
1400 val loss 7.3331
|
| 45 |
+
1400 val perplexity 1530.1715
|
| 46 |
+
1400 train 7.381249 (lr=2.7207e-05) (hash(x)=150482428)
|
| 47 |
+
1500 val loss 7.3048
|
| 48 |
+
1500 val perplexity 1487.3849
|
| 49 |
+
1500 train 7.156554 (lr=2.7157e-05) (hash(x)=144458617)
|
| 50 |
+
1600 val loss 7.2813
|
| 51 |
+
1600 val perplexity 1452.9476
|
| 52 |
+
1600 train 7.155491 (lr=2.7102e-05) (hash(x)=143268605)
|
| 53 |
+
1700 val loss 7.2596
|
| 54 |
+
1700 val perplexity 1421.6182
|
| 55 |
+
1700 train 7.191982 (lr=2.7044e-05) (hash(x)=150817011)
|
| 56 |
+
1800 val loss 7.2414
|
| 57 |
+
1800 val perplexity 1396.0886
|
| 58 |
+
1800 train 7.228529 (lr=2.6981e-05) (hash(x)=152322423)
|
| 59 |
+
1900 val loss 7.2235
|
| 60 |
+
1900 val perplexity 1371.2922
|
| 61 |
+
1900 train 7.044053 (lr=2.6915e-05) (hash(x)=143574126)
|
| 62 |
+
2000 val loss 7.2147
|
| 63 |
+
2000 val perplexity 1359.2687
|
| 64 |
+
2000 train 6.985788 (lr=2.6845e-05) (hash(x)=147904298)
|
| 65 |
+
2100 val loss 7.1918
|
| 66 |
+
2100 val perplexity 1328.4425
|
| 67 |
+
2100 train 6.953863 (lr=2.6771e-05) (hash(x)=144719400)
|
| 68 |
+
2200 val loss 7.1646
|
| 69 |
+
2200 val perplexity 1292.8639
|
| 70 |
+
2200 train 7.402001 (lr=2.6693e-05) (hash(x)=154343147)
|
| 71 |
+
2300 val loss 7.1374
|
| 72 |
+
2300 val perplexity 1258.2095
|
| 73 |
+
2300 train 7.186423 (lr=2.6611e-05) (hash(x)=154372635)
|
| 74 |
+
2400 val loss 7.1253
|
| 75 |
+
2400 val perplexity 1242.9806
|
| 76 |
+
2400 train 6.955888 (lr=2.6525e-05) (hash(x)=141843115)
|
| 77 |
+
2500 val loss 7.0979
|
| 78 |
+
2500 val perplexity 1209.3766
|
| 79 |
+
2500 train 6.993516 (lr=2.6436e-05) (hash(x)=149417679)
|
| 80 |
+
2600 val loss 7.0803
|
| 81 |
+
2600 val perplexity 1188.2710
|
| 82 |
+
2600 train 6.944737 (lr=2.6343e-05) (hash(x)=145279030)
|
| 83 |
+
2700 val loss 7.0618
|
| 84 |
+
2700 val perplexity 1166.5103
|
| 85 |
+
2700 train 6.953462 (lr=2.6246e-05) (hash(x)=146363911)
|
| 86 |
+
2800 val loss 7.0477
|
| 87 |
+
2800 val perplexity 1150.1772
|
| 88 |
+
2800 train 7.019940 (lr=2.6146e-05) (hash(x)=152507639)
|
| 89 |
+
2900 val loss 7.0327
|
| 90 |
+
2900 val perplexity 1133.1031
|
| 91 |
+
2900 train 6.825722 (lr=2.6042e-05) (hash(x)=139296191)
|
| 92 |
+
3000 val loss 7.0194
|
| 93 |
+
3000 val perplexity 1118.1536
|
| 94 |
+
3000 train 7.043332 (lr=2.5934e-05) (hash(x)=148473774)
|
| 95 |
+
3100 val loss 6.9894
|
| 96 |
+
3100 val perplexity 1085.0210
|
| 97 |
+
3100 train 7.095091 (lr=2.5823e-05) (hash(x)=154130527)
|
| 98 |
+
3200 val loss 6.9654
|
| 99 |
+
3200 val perplexity 1059.3645
|
| 100 |
+
3200 train 6.898325 (lr=2.5709e-05) (hash(x)=151117002)
|
| 101 |
+
3300 val loss 6.9591
|
| 102 |
+
3300 val perplexity 1052.6724
|
| 103 |
+
3300 train 7.079136 (lr=2.5590e-05) (hash(x)=151035383)
|
| 104 |
+
3400 val loss 6.9313
|
| 105 |
+
3400 val perplexity 1023.8008
|
| 106 |
+
3400 train 7.011525 (lr=2.5469e-05) (hash(x)=150614749)
|
| 107 |
+
3500 val loss 6.9130
|
| 108 |
+
3500 val perplexity 1005.3008
|
| 109 |
+
3500 train 6.961452 (lr=2.5344e-05) (hash(x)=151431391)
|
| 110 |
+
3600 val loss 6.8958
|
| 111 |
+
3600 val perplexity 988.1005
|
| 112 |
+
3600 train 6.819849 (lr=2.5215e-05) (hash(x)=151140797)
|
| 113 |
+
3700 val loss 6.8788
|
| 114 |
+
3700 val perplexity 971.4802
|
| 115 |
+
3700 train 7.120714 (lr=2.5083e-05) (hash(x)=154608340)
|
| 116 |
+
3800 val loss 6.8610
|
| 117 |
+
3800 val perplexity 954.3665
|
| 118 |
+
3800 train 6.883213 (lr=2.4948e-05) (hash(x)=169641309)
|
| 119 |
+
3900 val loss 6.8405
|
| 120 |
+
3900 val perplexity 934.9172
|
| 121 |
+
3900 train 6.791928 (lr=2.4810e-05) (hash(x)=150592479)
|
| 122 |
+
4000 val loss 6.8152
|
| 123 |
+
4000 val perplexity 911.6139
|
| 124 |
+
4000 train 6.790205 (lr=2.4669e-05) (hash(x)=155495317)
|
| 125 |
+
4100 val loss 6.8076
|
| 126 |
+
4100 val perplexity 904.6551
|
| 127 |
+
4100 train 7.009809 (lr=2.4524e-05) (hash(x)=170323970)
|
| 128 |
+
4200 val loss 6.7861
|
| 129 |
+
4200 val perplexity 885.4940
|
| 130 |
+
4200 train 6.587790 (lr=2.4376e-05) (hash(x)=140854360)
|
| 131 |
+
4300 val loss 6.7558
|
| 132 |
+
4300 val perplexity 859.0294
|
| 133 |
+
4300 train 6.750789 (lr=2.4226e-05) (hash(x)=148926644)
|
| 134 |
+
4400 val loss 6.7324
|
| 135 |
+
4400 val perplexity 839.1576
|
| 136 |
+
4400 train 6.774224 (lr=2.4072e-05) (hash(x)=149997871)
|
| 137 |
+
4500 val loss 6.7066
|
| 138 |
+
4500 val perplexity 817.7622
|
| 139 |
+
4500 train 6.658325 (lr=2.3915e-05) (hash(x)=149219289)
|
| 140 |
+
4600 val loss 6.6926
|
| 141 |
+
4600 val perplexity 806.4287
|
| 142 |
+
4600 train 6.489277 (lr=2.3755e-05) (hash(x)=139836197)
|
| 143 |
+
4700 val loss 6.6692
|
| 144 |
+
4700 val perplexity 787.7410
|
| 145 |
+
4700 train 6.632764 (lr=2.3593e-05) (hash(x)=150722883)
|
| 146 |
+
4800 val loss 6.6471
|
| 147 |
+
4800 val perplexity 770.5707
|
| 148 |
+
4800 train 6.862972 (lr=2.3428e-05) (hash(x)=166864648)
|
| 149 |
+
4900 val loss 6.6300
|
| 150 |
+
4900 val perplexity 757.4689
|
| 151 |
+
4900 train 6.746885 (lr=2.3260e-05) (hash(x)=157746743)
|
| 152 |
+
5000 val loss 6.6030
|
| 153 |
+
5000 val perplexity 737.3123
|
| 154 |
+
5000 train 6.564852 (lr=2.3089e-05) (hash(x)=153032257)
|
| 155 |
+
5100 val loss 6.5809
|
| 156 |
+
5100 val perplexity 721.2192
|
| 157 |
+
5100 train 6.662528 (lr=2.2916e-05) (hash(x)=151862371)
|
| 158 |
+
5200 val loss 6.5598
|
| 159 |
+
5200 val perplexity 706.0972
|
| 160 |
+
5200 train 6.881927 (lr=2.2740e-05) (hash(x)=168862995)
|
| 161 |
+
5300 val loss 6.5497
|
| 162 |
+
5300 val perplexity 699.0560
|
| 163 |
+
5300 train 6.526187 (lr=2.2561e-05) (hash(x)=148243567)
|
| 164 |
+
5400 val loss 6.5310
|
| 165 |
+
5400 val perplexity 686.0756
|
| 166 |
+
5400 train 6.454970 (lr=2.2381e-05) (hash(x)=145381742)
|
| 167 |
+
5500 val loss 6.5144
|
| 168 |
+
5500 val perplexity 674.7809
|
| 169 |
+
5500 train 6.669298 (lr=2.2197e-05) (hash(x)=155602174)
|
| 170 |
+
5600 val loss 6.4878
|
| 171 |
+
5600 val perplexity 657.1042
|
| 172 |
+
5600 train 6.578669 (lr=2.2012e-05) (hash(x)=160637672)
|
| 173 |
+
5700 val loss 6.4728
|
| 174 |
+
5700 val perplexity 647.2852
|
| 175 |
+
5700 train 6.409344 (lr=2.1824e-05) (hash(x)=152101131)
|
| 176 |
+
5800 val loss 6.4536
|
| 177 |
+
5800 val perplexity 634.9938
|
| 178 |
+
5800 train 6.406909 (lr=2.1634e-05) (hash(x)=152327089)
|
| 179 |
+
5900 val loss 6.4456
|
| 180 |
+
5900 val perplexity 629.9174
|
| 181 |
+
5900 train 6.379840 (lr=2.1442e-05) (hash(x)=151094543)
|
| 182 |
+
6000 val loss 6.4294
|
| 183 |
+
6000 val perplexity 619.8093
|
| 184 |
+
6000 train 6.527921 (lr=2.1248e-05) (hash(x)=160233315)
|
| 185 |
+
6100 val loss 6.4108
|
| 186 |
+
6100 val perplexity 608.3984
|
| 187 |
+
6100 train 6.511137 (lr=2.1051e-05) (hash(x)=158295337)
|
| 188 |
+
6200 val loss 6.3918
|
| 189 |
+
6200 val perplexity 596.9457
|
| 190 |
+
6200 train 6.349186 (lr=2.0853e-05) (hash(x)=151269817)
|
| 191 |
+
6300 val loss 6.3760
|
| 192 |
+
6300 val perplexity 587.5455
|
| 193 |
+
6300 train 6.490969 (lr=2.0653e-05) (hash(x)=156912756)
|
| 194 |
+
6400 val loss 6.3643
|
| 195 |
+
6400 val perplexity 580.7366
|
| 196 |
+
6400 train 6.304334 (lr=2.0451e-05) (hash(x)=125779637)
|
| 197 |
+
6500 val loss 6.3546
|
| 198 |
+
6500 val perplexity 575.1245
|
| 199 |
+
6500 train 6.241210 (lr=2.0247e-05) (hash(x)=148157661)
|
| 200 |
+
6600 val loss 6.3439
|
| 201 |
+
6600 val perplexity 569.0137
|
| 202 |
+
6600 train 6.392389 (lr=2.0042e-05) (hash(x)=152820049)
|
| 203 |
+
6700 val loss 6.3313
|
| 204 |
+
6700 val perplexity 561.9103
|
| 205 |
+
6700 train 6.277595 (lr=1.9835e-05) (hash(x)=155818717)
|
| 206 |
+
6800 val loss 6.3142
|
| 207 |
+
6800 val perplexity 552.3473
|
| 208 |
+
6800 train 6.357372 (lr=1.9626e-05) (hash(x)=158833881)
|
| 209 |
+
6900 val loss 6.3115
|
| 210 |
+
6900 val perplexity 550.8728
|
| 211 |
+
6900 train 6.280612 (lr=1.9416e-05) (hash(x)=164984909)
|
| 212 |
+
7000 val loss 6.2944
|
| 213 |
+
7000 val perplexity 541.5046
|
| 214 |
+
7000 train 6.183699 (lr=1.9205e-05) (hash(x)=151172493)
|
| 215 |
+
7100 val loss 6.2913
|
| 216 |
+
7100 val perplexity 539.8703
|
| 217 |
+
7100 train 6.301157 (lr=1.8992e-05) (hash(x)=154023633)
|
| 218 |
+
7200 val loss 6.2841
|
| 219 |
+
7200 val perplexity 535.9922
|
| 220 |
+
7200 train 6.126408 (lr=1.8778e-05) (hash(x)=139351250)
|
| 221 |
+
7300 val loss 6.2701
|
| 222 |
+
7300 val perplexity 528.5300
|
| 223 |
+
7300 train 6.216894 (lr=1.8562e-05) (hash(x)=158719458)
|
| 224 |
+
7400 val loss 6.2545
|
| 225 |
+
7400 val perplexity 520.3541
|
| 226 |
+
7400 train 6.342453 (lr=1.8346e-05) (hash(x)=162250810)
|
| 227 |
+
7500 val loss 6.2451
|
| 228 |
+
7500 val perplexity 515.4594
|
| 229 |
+
7500 train 6.107119 (lr=1.8128e-05) (hash(x)=142827557)
|
| 230 |
+
7600 val loss 6.2375
|
| 231 |
+
7600 val perplexity 511.5827
|
| 232 |
+
7600 train 6.134127 (lr=1.7910e-05) (hash(x)=147830801)
|
| 233 |
+
7700 val loss 6.2256
|
| 234 |
+
7700 val perplexity 505.5025
|
| 235 |
+
7700 train 6.331251 (lr=1.7691e-05) (hash(x)=165233314)
|
| 236 |
+
7800 val loss 6.2179
|
| 237 |
+
7800 val perplexity 501.6711
|
| 238 |
+
7800 train 6.216796 (lr=1.7470e-05) (hash(x)=160654717)
|
| 239 |
+
7900 val loss 6.2136
|
| 240 |
+
7900 val perplexity 499.4775
|
| 241 |
+
7900 train 6.051061 (lr=1.7249e-05) (hash(x)=140712586)
|
| 242 |
+
8000 val loss 6.1968
|
| 243 |
+
8000 val perplexity 491.1817
|
| 244 |
+
8000 train 6.355695 (lr=1.7028e-05) (hash(x)=150309061)
|
| 245 |
+
8100 val loss 6.1933
|
| 246 |
+
8100 val perplexity 489.4791
|
| 247 |
+
8100 train 6.204559 (lr=1.6805e-05) (hash(x)=158805466)
|
| 248 |
+
8200 val loss 6.1826
|
| 249 |
+
8200 val perplexity 484.2360
|
| 250 |
+
8200 train 6.047708 (lr=1.6582e-05) (hash(x)=142814078)
|
| 251 |
+
8300 val loss 6.1745
|
| 252 |
+
8300 val perplexity 480.3483
|
| 253 |
+
8300 train 6.138761 (lr=1.6359e-05) (hash(x)=148340417)
|
| 254 |
+
8400 val loss 6.1701
|
| 255 |
+
8400 val perplexity 478.2222
|
| 256 |
+
8400 train 6.109375 (lr=1.6135e-05) (hash(x)=157132639)
|
| 257 |
+
8500 val loss 6.1692
|
| 258 |
+
8500 val perplexity 477.8114
|
| 259 |
+
8500 train 6.108513 (lr=1.5911e-05) (hash(x)=152994240)
|
| 260 |
+
8600 val loss 6.1531
|
| 261 |
+
8600 val perplexity 470.1633
|
| 262 |
+
8600 train 6.107152 (lr=1.5687e-05) (hash(x)=152210154)
|
| 263 |
+
8700 val loss 6.1455
|
| 264 |
+
8700 val perplexity 466.6085
|
| 265 |
+
8700 train 6.205480 (lr=1.5462e-05) (hash(x)=149631247)
|
| 266 |
+
8800 val loss 6.1372
|
| 267 |
+
8800 val perplexity 462.7359
|
| 268 |
+
8800 train 5.981178 (lr=1.5237e-05) (hash(x)=145617784)
|
| 269 |
+
8900 val loss 6.1299
|
| 270 |
+
8900 val perplexity 459.3880
|
| 271 |
+
8900 train 6.226513 (lr=1.5013e-05) (hash(x)=155984970)
|
| 272 |
+
9000 val loss 6.1254
|
| 273 |
+
9000 val perplexity 457.3501
|
| 274 |
+
9000 train 5.854463 (lr=1.4788e-05) (hash(x)=143433013)
|
| 275 |
+
9100 val loss 6.1202
|
| 276 |
+
9100 val perplexity 454.9649
|
| 277 |
+
9100 train 6.005787 (lr=1.4563e-05) (hash(x)=152507533)
|
| 278 |
+
9200 val loss 6.1142
|
| 279 |
+
9200 val perplexity 452.2314
|
| 280 |
+
9200 train 6.255028 (lr=1.4339e-05) (hash(x)=162400650)
|
| 281 |
+
9300 val loss 6.1044
|
| 282 |
+
9300 val perplexity 447.8143
|
| 283 |
+
9300 train 6.153483 (lr=1.4115e-05) (hash(x)=148419068)
|
| 284 |
+
9400 val loss 6.0967
|
| 285 |
+
9400 val perplexity 444.3860
|
| 286 |
+
9400 train 6.057858 (lr=1.3891e-05) (hash(x)=145025169)
|
| 287 |
+
9500 val loss 6.0875
|
| 288 |
+
9500 val perplexity 440.3331
|
| 289 |
+
9500 train 6.061573 (lr=1.3668e-05) (hash(x)=145104235)
|
| 290 |
+
9600 val loss 6.0901
|
| 291 |
+
9600 val perplexity 441.4541
|
| 292 |
+
9600 train 6.020576 (lr=1.3445e-05) (hash(x)=150499797)
|
| 293 |
+
9700 val loss 6.0780
|
| 294 |
+
9700 val perplexity 436.1382
|
| 295 |
+
9700 train 5.881082 (lr=1.3222e-05) (hash(x)=139690022)
|
| 296 |
+
9800 val loss 6.0699
|
| 297 |
+
9800 val perplexity 432.6385
|
| 298 |
+
9800 train 6.058245 (lr=1.3001e-05) (hash(x)=145645279)
|
| 299 |
+
9900 val loss 6.0611
|
| 300 |
+
9900 val perplexity 428.8531
|
| 301 |
+
9900 train 5.971967 (lr=1.2780e-05) (hash(x)=150103432)
|
| 302 |
+
10000 val loss 6.0610
|
| 303 |
+
10000 val perplexity 428.7884
|
| 304 |
+
10000 train 6.213492 (lr=1.2559e-05) (hash(x)=162309473)
|
| 305 |
+
10100 val loss 6.0507
|
| 306 |
+
10100 val perplexity 424.4024
|
| 307 |
+
10100 train 5.937528 (lr=1.2340e-05) (hash(x)=146586772)
|
| 308 |
+
10200 val loss 6.0450
|
| 309 |
+
10200 val perplexity 422.0151
|
| 310 |
+
10200 train 5.940793 (lr=1.2122e-05) (hash(x)=149256313)
|
| 311 |
+
10300 val loss 6.0396
|
| 312 |
+
10300 val perplexity 419.7351
|
| 313 |
+
10300 train 6.018402 (lr=1.1904e-05) (hash(x)=151455083)
|
| 314 |
+
10400 val loss 6.0374
|
| 315 |
+
10400 val perplexity 418.8122
|
| 316 |
+
10400 train 5.842232 (lr=1.1688e-05) (hash(x)=150210444)
|
| 317 |
+
10500 val loss 6.0397
|
| 318 |
+
10500 val perplexity 419.7683
|
| 319 |
+
10500 train 5.804628 (lr=1.1472e-05) (hash(x)=152144428)
|
| 320 |
+
10600 val loss 6.0296
|
| 321 |
+
10600 val perplexity 415.5560
|
| 322 |
+
10600 train 6.099782 (lr=1.1258e-05) (hash(x)=168628935)
|
| 323 |
+
10700 val loss 6.0206
|
| 324 |
+
10700 val perplexity 411.8316
|
| 325 |
+
10700 train 5.880192 (lr=1.1045e-05) (hash(x)=164667785)
|
| 326 |
+
10800 val loss 6.0117
|
| 327 |
+
10800 val perplexity 408.1864
|
| 328 |
+
10800 train 5.955902 (lr=1.0834e-05) (hash(x)=143621491)
|
| 329 |
+
10900 val loss 6.0106
|
| 330 |
+
10900 val perplexity 407.7130
|
| 331 |
+
10900 train 5.899141 (lr=1.0624e-05) (hash(x)=143914826)
|
| 332 |
+
11000 val loss 6.0058
|
| 333 |
+
11000 val perplexity 405.7754
|
| 334 |
+
11000 train 5.781573 (lr=1.0415e-05) (hash(x)=137663435)
|
| 335 |
+
11100 val loss 6.0036
|
| 336 |
+
11100 val perplexity 404.8896
|
| 337 |
+
11100 train 5.873570 (lr=1.0208e-05) (hash(x)=149054007)
|
| 338 |
+
11200 val loss 6.0013
|
| 339 |
+
11200 val perplexity 403.9420
|
| 340 |
+
11200 train 6.005395 (lr=1.0003e-05) (hash(x)=153473924)
|
| 341 |
+
11300 val loss 6.0030
|
| 342 |
+
11300 val perplexity 404.6429
|
| 343 |
+
11300 train 5.808824 (lr=9.7991e-06) (hash(x)=158563275)
|
| 344 |
+
11400 val loss 6.0014
|
| 345 |
+
11400 val perplexity 403.9809
|
| 346 |
+
11400 train 6.135341 (lr=9.5972e-06) (hash(x)=161016667)
|
| 347 |
+
11500 val loss 5.9971
|
| 348 |
+
11500 val perplexity 402.2647
|
| 349 |
+
11500 train 6.046785 (lr=9.3970e-06) (hash(x)=157344822)
|
| 350 |
+
11600 val loss 5.9819
|
| 351 |
+
11600 val perplexity 396.1853
|
| 352 |
+
11600 train 5.841331 (lr=9.1988e-06) (hash(x)=139977713)
|
| 353 |
+
11700 val loss 5.9752
|
| 354 |
+
11700 val perplexity 393.5630
|
| 355 |
+
11700 train 5.986742 (lr=9.0025e-06) (hash(x)=156511738)
|
| 356 |
+
11800 val loss 5.9721
|
| 357 |
+
11800 val perplexity 392.3307
|
| 358 |
+
11800 train 6.460408 (lr=8.8082e-06) (hash(x)=185372558)
|
| 359 |
+
11900 val loss 5.9709
|
| 360 |
+
11900 val perplexity 391.8408
|
| 361 |
+
11900 train 5.801854 (lr=8.6160e-06) (hash(x)=138085470)
|
| 362 |
+
12000 val loss 5.9692
|
| 363 |
+
12000 val perplexity 391.1958
|
| 364 |
+
12000 train 5.824976 (lr=8.4260e-06) (hash(x)=142928235)
|
| 365 |
+
12100 val loss 5.9703
|
| 366 |
+
12100 val perplexity 391.6365
|
| 367 |
+
12100 train 5.825260 (lr=8.2381e-06) (hash(x)=151960396)
|
| 368 |
+
12200 val loss 5.9584
|
| 369 |
+
12200 val perplexity 386.9728
|
| 370 |
+
12200 train 6.033947 (lr=8.0526e-06) (hash(x)=156794523)
|
| 371 |
+
12300 val loss 5.9553
|
| 372 |
+
12300 val perplexity 385.8007
|
| 373 |
+
12300 train 5.767831 (lr=7.8694e-06) (hash(x)=138082358)
|
| 374 |
+
12400 val loss 5.9486
|
| 375 |
+
12400 val perplexity 383.2321
|
| 376 |
+
12400 train 5.852021 (lr=7.6885e-06) (hash(x)=155255899)
|
| 377 |
+
12500 val loss 5.9469
|
| 378 |
+
12500 val perplexity 382.5752
|
| 379 |
+
12500 train 5.925366 (lr=7.5101e-06) (hash(x)=150490528)
|
| 380 |
+
12600 val loss 5.9437
|
| 381 |
+
12600 val perplexity 381.3263
|
| 382 |
+
12600 train 6.066210 (lr=7.3342e-06) (hash(x)=154831027)
|
| 383 |
+
12700 val loss 5.9425
|
| 384 |
+
12700 val perplexity 380.8722
|
| 385 |
+
12700 train 5.882764 (lr=7.1609e-06) (hash(x)=147341052)
|
| 386 |
+
12800 val loss 5.9403
|
| 387 |
+
12800 val perplexity 380.0535
|
| 388 |
+
12800 train 5.977871 (lr=6.9903e-06) (hash(x)=159333795)
|
| 389 |
+
12900 val loss 5.9416
|
| 390 |
+
12900 val perplexity 380.5322
|
| 391 |
+
12900 train 5.784962 (lr=6.8223e-06) (hash(x)=143896867)
|
| 392 |
+
13000 val loss 5.9327
|
| 393 |
+
13000 val perplexity 377.1534
|
| 394 |
+
13000 train 5.921026 (lr=6.6570e-06) (hash(x)=147161537)
|
| 395 |
+
13100 val loss 5.9279
|
| 396 |
+
13100 val perplexity 375.3620
|
| 397 |
+
13100 train 6.057076 (lr=6.4945e-06) (hash(x)=147081918)
|
| 398 |
+
13200 val loss 5.9254
|
| 399 |
+
13200 val perplexity 374.4168
|
| 400 |
+
13200 train 5.689006 (lr=6.3349e-06) (hash(x)=145079287)
|
| 401 |
+
13300 val loss 5.9268
|
| 402 |
+
13300 val perplexity 374.9709
|
| 403 |
+
13300 train 5.729674 (lr=6.1782e-06) (hash(x)=142515041)
|
| 404 |
+
13400 val loss 5.9236
|
| 405 |
+
13400 val perplexity 373.7578
|
| 406 |
+
13400 train 5.724186 (lr=6.0244e-06) (hash(x)=144081985)
|
| 407 |
+
13500 val loss 5.9207
|
| 408 |
+
13500 val perplexity 372.6601
|
| 409 |
+
13500 train 5.990724 (lr=5.8737e-06) (hash(x)=149957292)
|
| 410 |
+
13600 val loss 5.9153
|
| 411 |
+
13600 val perplexity 370.6725
|
| 412 |
+
13600 train 5.946911 (lr=5.7259e-06) (hash(x)=157123033)
|
| 413 |
+
13700 val loss 5.9115
|
| 414 |
+
13700 val perplexity 369.2667
|
| 415 |
+
13700 train 5.899968 (lr=5.5813e-06) (hash(x)=148277247)
|
| 416 |
+
13800 val loss 5.9118
|
| 417 |
+
13800 val perplexity 369.3729
|
| 418 |
+
13800 train 6.018199 (lr=5.4398e-06) (hash(x)=142769907)
|
| 419 |
+
13900 val loss 5.9075
|
| 420 |
+
13900 val perplexity 367.7686
|
| 421 |
+
13900 train 5.817693 (lr=5.3016e-06) (hash(x)=144932004)
|
| 422 |
+
14000 val loss 5.9045
|
| 423 |
+
14000 val perplexity 366.6660
|
| 424 |
+
14000 train 5.907049 (lr=5.1665e-06) (hash(x)=149532265)
|
| 425 |
+
14100 val loss 5.9036
|
| 426 |
+
14100 val perplexity 366.3682
|
| 427 |
+
14100 train 5.748715 (lr=5.0348e-06) (hash(x)=149301374)
|
| 428 |
+
14200 val loss 5.9043
|
| 429 |
+
14200 val perplexity 366.5968
|
| 430 |
+
14200 train 5.656896 (lr=4.9063e-06) (hash(x)=142871075)
|
| 431 |
+
14300 val loss 5.8980
|
| 432 |
+
14300 val perplexity 364.3106
|
| 433 |
+
14300 train 6.041042 (lr=4.7813e-06) (hash(x)=166744960)
|
| 434 |
+
14400 val loss 5.8939
|
| 435 |
+
14400 val perplexity 362.8291
|
| 436 |
+
14400 train 5.875367 (lr=4.6596e-06) (hash(x)=145950920)
|
| 437 |
+
14500 val loss 5.8929
|
| 438 |
+
14500 val perplexity 362.4689
|
| 439 |
+
14500 train 5.894318 (lr=4.5414e-06) (hash(x)=141089155)
|
| 440 |
+
14600 val loss 5.8899
|
| 441 |
+
14600 val perplexity 361.3864
|
| 442 |
+
14600 train 6.058316 (lr=4.4267e-06) (hash(x)=174516275)
|
| 443 |
+
14700 val loss 5.8880
|
| 444 |
+
14700 val perplexity 360.7004
|
| 445 |
+
14700 train 5.669492 (lr=4.3155e-06) (hash(x)=137896065)
|
| 446 |
+
14800 val loss 5.8868
|
| 447 |
+
14800 val perplexity 360.2480
|
| 448 |
+
14800 train 5.918042 (lr=4.2079e-06) (hash(x)=154396556)
|
| 449 |
+
14900 val loss 5.8871
|
| 450 |
+
14900 val perplexity 360.3737
|
| 451 |
+
14900 train 5.747381 (lr=4.1039e-06) (hash(x)=149322394)
|
| 452 |
+
15000 val loss 5.8871
|
| 453 |
+
15000 val perplexity 360.3573
|
| 454 |
+
15000 train 5.802734 (lr=4.0035e-06) (hash(x)=147410513)
|
| 455 |
+
15100 val loss 5.8844
|
| 456 |
+
15100 val perplexity 359.3901
|
| 457 |
+
15100 train 5.803135 (lr=3.9068e-06) (hash(x)=145245634)
|
| 458 |
+
15200 val loss 5.8800
|
| 459 |
+
15200 val perplexity 357.8166
|
| 460 |
+
15200 train 5.965070 (lr=3.8138e-06) (hash(x)=148341108)
|
| 461 |
+
15300 val loss 5.8774
|
| 462 |
+
15300 val perplexity 356.8876
|
| 463 |
+
15300 train 5.697327 (lr=3.7245e-06) (hash(x)=140162437)
|
| 464 |
+
15400 val loss 5.8762
|
| 465 |
+
15400 val perplexity 356.4378
|
| 466 |
+
15400 train 6.069530 (lr=3.6390e-06) (hash(x)=142166081)
|
| 467 |
+
15500 val loss 5.8757
|
| 468 |
+
15500 val perplexity 356.2906
|
| 469 |
+
15500 train 5.752399 (lr=3.5572e-06) (hash(x)=141042196)
|
| 470 |
+
15600 val loss 5.8742
|
| 471 |
+
15600 val perplexity 355.7265
|
| 472 |
+
15600 train 5.975054 (lr=3.4793e-06) (hash(x)=148672701)
|
| 473 |
+
15700 val loss 5.8742
|
| 474 |
+
15700 val perplexity 355.7508
|
| 475 |
+
15700 train 5.772561 (lr=3.4052e-06) (hash(x)=149672385)
|
| 476 |
+
15800 val loss 5.8731
|
| 477 |
+
15800 val perplexity 355.3330
|
| 478 |
+
15800 train 5.898124 (lr=3.3350e-06) (hash(x)=152379562)
|
| 479 |
+
15900 val loss 5.8693
|
| 480 |
+
15900 val perplexity 354.0105
|
| 481 |
+
15900 train 5.903119 (lr=3.2687e-06) (hash(x)=154674265)
|
| 482 |
+
16000 val loss 5.8670
|
| 483 |
+
16000 val perplexity 353.1752
|
| 484 |
+
16000 train 5.897068 (lr=3.2063e-06) (hash(x)=150368078)
|
| 485 |
+
16100 val loss 5.8651
|
| 486 |
+
16100 val perplexity 352.5308
|
| 487 |
+
16100 train 5.962111 (lr=3.1478e-06) (hash(x)=160390561)
|
| 488 |
+
16200 val loss 5.8642
|
| 489 |
+
16200 val perplexity 352.1844
|
| 490 |
+
16200 train 6.208712 (lr=3.0932e-06) (hash(x)=155218378)
|
| 491 |
+
16300 val loss 5.8629
|
| 492 |
+
16300 val perplexity 351.7262
|
| 493 |
+
16300 train 6.052020 (lr=3.0427e-06) (hash(x)=160891077)
|
| 494 |
+
16400 val loss 5.8618
|
| 495 |
+
16400 val perplexity 351.3526
|
| 496 |
+
16400 train 5.771412 (lr=2.9961e-06) (hash(x)=142789253)
|
| 497 |
+
16500 val loss 5.8614
|
| 498 |
+
16500 val perplexity 351.1985
|
| 499 |
+
16500 train 5.603426 (lr=2.9535e-06) (hash(x)=141497841)
|
| 500 |
+
16600 val loss 5.8614
|
| 501 |
+
16600 val perplexity 351.2000
|
| 502 |
+
16600 train 5.843324 (lr=2.9149e-06) (hash(x)=157947018)
|
| 503 |
+
16700 val loss 5.8569
|
| 504 |
+
16700 val perplexity 349.6255
|
| 505 |
+
16700 train 5.805718 (lr=2.8804e-06) (hash(x)=146039309)
|
| 506 |
+
16800 val loss 5.8567
|
| 507 |
+
16800 val perplexity 349.5811
|
| 508 |
+
16800 train 5.820101 (lr=2.8498e-06) (hash(x)=156381445)
|
| 509 |
+
16900 val loss 5.8545
|
| 510 |
+
16900 val perplexity 348.8135
|
| 511 |
+
16900 train 5.816824 (lr=2.8234e-06) (hash(x)=146537354)
|
| 512 |
+
17000 val loss 5.8537
|
| 513 |
+
17000 val perplexity 348.5178
|
| 514 |
+
17000 train 5.735730 (lr=2.8010e-06) (hash(x)=135939444)
|
| 515 |
+
17100 val loss 5.8534
|
| 516 |
+
17100 val perplexity 348.4101
|
| 517 |
+
17100 train 5.909929 (lr=2.7826e-06) (hash(x)=147819652)
|
| 518 |
+
17200 val loss 5.8540
|
| 519 |
+
17200 val perplexity 348.6358
|
| 520 |
+
17200 train 5.964046 (lr=2.7684e-06) (hash(x)=155307909)
|
| 521 |
+
17300 val loss 5.8497
|
| 522 |
+
17300 val perplexity 347.1329
|
| 523 |
+
17300 train 5.801245 (lr=2.7582e-06) (hash(x)=151879548)
|
| 524 |
+
17400 val loss 5.8487
|
| 525 |
+
17400 val perplexity 346.7682
|
| 526 |
+
17400 train 5.754910 (lr=2.7520e-06) (hash(x)=143641792)
|
| 527 |
+
17499 val loss 5.8466
|
| 528 |
+
17499 val perplexity 346.0586
|
attention_kindselective_n_heads4_seed1339/model_17499.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 92843394
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a8f3c5900182fece7b2ad89221ee3a19873525cfb62a9be93a17deb36b902e1
|
| 3 |
size 92843394
|
attention_kindselective_n_heads4_seed1339/optimizer_17499.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 179406214
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3bea0b6ffe448da1642694f3629ed45aa464f2db4f9c4a8bd07ebe572c330412
|
| 3 |
size 179406214
|