Upload folder using huggingface_hub
Browse files
attention_kindselective_n_heads4_seed1340/args.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 1340, "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": 3.
|
|
|
|
| 1 |
+
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 1340, "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": 3.5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.5e-5_30720_4_1340", "n_embd": 256}
|
attention_kindselective_n_heads4_seed1340/log2.txt
CHANGED
|
@@ -1,528 +1,528 @@
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2714
|
| 3 |
-
0 val perplexity
|
| 4 |
-
0 train 11.276529 (lr=1.
|
| 5 |
-
100 val loss 9.
|
| 6 |
-
100 val perplexity
|
| 7 |
-
100 train 9.
|
| 8 |
-
200 val loss
|
| 9 |
-
200 val perplexity
|
| 10 |
-
200 train
|
| 11 |
-
300 val loss 7.
|
| 12 |
-
300 val perplexity
|
| 13 |
-
300 train 8.
|
| 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 7.
|
| 53 |
-
1700 val loss
|
| 54 |
-
1700 val perplexity
|
| 55 |
-
1700 train 7.
|
| 56 |
-
1800 val loss
|
| 57 |
-
1800 val perplexity
|
| 58 |
-
1800 train
|
| 59 |
-
1900 val loss 6.
|
| 60 |
-
1900 val perplexity
|
| 61 |
-
1900 train 7.
|
| 62 |
-
2000 val loss 6.
|
| 63 |
-
2000 val perplexity
|
| 64 |
-
2000 train
|
| 65 |
-
2100 val loss 6.
|
| 66 |
-
2100 val perplexity
|
| 67 |
-
2100 train 6.
|
| 68 |
-
2200 val loss 6.
|
| 69 |
-
2200 val perplexity
|
| 70 |
-
2200 train 6.
|
| 71 |
-
2300 val loss 6.
|
| 72 |
-
2300 val perplexity
|
| 73 |
-
2300 train
|
| 74 |
-
2400 val loss 6.
|
| 75 |
-
2400 val perplexity
|
| 76 |
-
2400 train 6.
|
| 77 |
-
2500 val loss 6.
|
| 78 |
-
2500 val perplexity
|
| 79 |
-
2500 train 6.
|
| 80 |
-
2600 val loss 6.
|
| 81 |
-
2600 val perplexity
|
| 82 |
-
2600 train 6.
|
| 83 |
-
2700 val loss 6.
|
| 84 |
-
2700 val perplexity
|
| 85 |
-
2700 train 6.
|
| 86 |
-
2800 val loss 6.
|
| 87 |
-
2800 val perplexity
|
| 88 |
-
2800 train 6.
|
| 89 |
-
2900 val loss 6.
|
| 90 |
-
2900 val perplexity
|
| 91 |
-
2900 train 6.
|
| 92 |
-
3000 val loss 6.
|
| 93 |
-
3000 val perplexity
|
| 94 |
-
3000 train 6.
|
| 95 |
-
3100 val loss 6.
|
| 96 |
-
3100 val perplexity
|
| 97 |
-
3100 train 6.
|
| 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 6.
|
| 104 |
-
3400 val loss 6.
|
| 105 |
-
3400 val perplexity
|
| 106 |
-
3400 train 6.
|
| 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 6.
|
| 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 6.
|
| 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
|
| 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 6.
|
| 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 5.
|
| 152 |
-
5000 val loss 6.
|
| 153 |
-
5000 val perplexity
|
| 154 |
-
5000 train 5.
|
| 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 5.
|
| 173 |
-
5700 val loss 6.
|
| 174 |
-
5700 val perplexity
|
| 175 |
-
5700 train 5.
|
| 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 6.
|
| 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 6.
|
| 189 |
-
6200 val perplexity
|
| 190 |
-
6200 train 6.
|
| 191 |
-
6300 val loss 6.
|
| 192 |
-
6300 val perplexity
|
| 193 |
-
6300 train 5.
|
| 194 |
-
6400 val loss
|
| 195 |
-
6400 val perplexity
|
| 196 |
-
6400 train 5.
|
| 197 |
-
6500 val loss
|
| 198 |
-
6500 val perplexity
|
| 199 |
-
6500 train 5.
|
| 200 |
-
6600 val loss
|
| 201 |
-
6600 val perplexity
|
| 202 |
-
6600 train 5.
|
| 203 |
-
6700 val loss
|
| 204 |
-
6700 val perplexity
|
| 205 |
-
6700 train 5.
|
| 206 |
-
6800 val loss 5.
|
| 207 |
-
6800 val perplexity
|
| 208 |
-
6800 train 5.
|
| 209 |
-
6900 val loss 5.
|
| 210 |
-
6900 val perplexity
|
| 211 |
-
6900 train
|
| 212 |
-
7000 val loss 5.
|
| 213 |
-
7000 val perplexity
|
| 214 |
-
7000 train 5.
|
| 215 |
-
7100 val loss 5.
|
| 216 |
-
7100 val perplexity
|
| 217 |
-
7100 train 5.
|
| 218 |
-
7200 val loss 5.
|
| 219 |
-
7200 val perplexity
|
| 220 |
-
7200 train 5.
|
| 221 |
-
7300 val loss 5.
|
| 222 |
-
7300 val perplexity
|
| 223 |
-
7300 train
|
| 224 |
-
7400 val loss 5.
|
| 225 |
-
7400 val perplexity
|
| 226 |
-
7400 train 5.
|
| 227 |
-
7500 val loss 5.
|
| 228 |
-
7500 val perplexity
|
| 229 |
-
7500 train 5.
|
| 230 |
-
7600 val loss 5.
|
| 231 |
-
7600 val perplexity
|
| 232 |
-
7600 train 5.
|
| 233 |
-
7700 val loss 5.
|
| 234 |
-
7700 val perplexity
|
| 235 |
-
7700 train 5.
|
| 236 |
-
7800 val loss 5.
|
| 237 |
-
7800 val perplexity
|
| 238 |
-
7800 train 5.
|
| 239 |
-
7900 val loss 5.
|
| 240 |
-
7900 val perplexity
|
| 241 |
-
7900 train 5.
|
| 242 |
-
8000 val loss 5.
|
| 243 |
-
8000 val perplexity
|
| 244 |
-
8000 train 5.
|
| 245 |
-
8100 val loss 5.
|
| 246 |
-
8100 val perplexity
|
| 247 |
-
8100 train 5.
|
| 248 |
-
8200 val loss 5.
|
| 249 |
-
8200 val perplexity
|
| 250 |
-
8200 train 5.
|
| 251 |
-
8300 val loss 5.
|
| 252 |
-
8300 val perplexity
|
| 253 |
-
8300 train 5.
|
| 254 |
-
8400 val loss 5.
|
| 255 |
-
8400 val perplexity
|
| 256 |
-
8400 train 6.
|
| 257 |
-
8500 val loss 5.
|
| 258 |
-
8500 val perplexity
|
| 259 |
-
8500 train 5.
|
| 260 |
-
8600 val loss 5.
|
| 261 |
-
8600 val perplexity
|
| 262 |
-
8600 train 6.
|
| 263 |
-
8700 val loss 5.
|
| 264 |
-
8700 val perplexity
|
| 265 |
-
8700 train 5.
|
| 266 |
-
8800 val loss 5.
|
| 267 |
-
8800 val perplexity
|
| 268 |
-
8800 train 5.
|
| 269 |
-
8900 val loss 5.
|
| 270 |
-
8900 val perplexity
|
| 271 |
-
8900 train 5.
|
| 272 |
-
9000 val loss 5.
|
| 273 |
-
9000 val perplexity
|
| 274 |
-
9000 train 5.
|
| 275 |
-
9100 val loss 5.
|
| 276 |
-
9100 val perplexity
|
| 277 |
-
9100 train 5.
|
| 278 |
-
9200 val loss 5.
|
| 279 |
-
9200 val perplexity
|
| 280 |
-
9200 train 5.
|
| 281 |
-
9300 val loss 5.
|
| 282 |
-
9300 val perplexity
|
| 283 |
-
9300 train 5.
|
| 284 |
-
9400 val loss 5.
|
| 285 |
-
9400 val perplexity
|
| 286 |
-
9400 train 5.
|
| 287 |
-
9500 val loss 5.
|
| 288 |
-
9500 val perplexity
|
| 289 |
-
9500 train 5.
|
| 290 |
-
9600 val loss 5.
|
| 291 |
-
9600 val perplexity
|
| 292 |
-
9600 train 5.
|
| 293 |
-
9700 val loss 5.
|
| 294 |
-
9700 val perplexity
|
| 295 |
-
9700 train 5.
|
| 296 |
-
9800 val loss 5.
|
| 297 |
-
9800 val perplexity
|
| 298 |
-
9800 train 5.
|
| 299 |
-
9900 val loss 5.
|
| 300 |
-
9900 val perplexity
|
| 301 |
-
9900 train 5.
|
| 302 |
-
10000 val loss 5.
|
| 303 |
-
10000 val perplexity
|
| 304 |
-
10000 train 5.
|
| 305 |
-
10100 val loss 5.
|
| 306 |
-
10100 val perplexity
|
| 307 |
-
10100 train
|
| 308 |
-
10200 val loss 5.
|
| 309 |
-
10200 val perplexity
|
| 310 |
-
10200 train 5.
|
| 311 |
-
10300 val loss 5.
|
| 312 |
-
10300 val perplexity
|
| 313 |
-
10300 train 5.
|
| 314 |
-
10400 val loss 5.
|
| 315 |
-
10400 val perplexity
|
| 316 |
-
10400 train 5.
|
| 317 |
-
10500 val loss 5.
|
| 318 |
-
10500 val perplexity
|
| 319 |
-
10500 train 5.
|
| 320 |
-
10600 val loss 5.
|
| 321 |
-
10600 val perplexity
|
| 322 |
-
10600 train 5.
|
| 323 |
-
10700 val loss 5.
|
| 324 |
-
10700 val perplexity
|
| 325 |
-
10700 train 5.
|
| 326 |
-
10800 val loss 5.
|
| 327 |
-
10800 val perplexity
|
| 328 |
-
10800 train 5.
|
| 329 |
-
10900 val loss 5.
|
| 330 |
-
10900 val perplexity
|
| 331 |
-
10900 train 5.
|
| 332 |
-
11000 val loss 5.
|
| 333 |
-
11000 val perplexity
|
| 334 |
-
11000 train 5.
|
| 335 |
-
11100 val loss 5.
|
| 336 |
-
11100 val perplexity
|
| 337 |
-
11100 train 5.
|
| 338 |
-
11200 val loss 5.
|
| 339 |
-
11200 val perplexity
|
| 340 |
-
11200 train 5.
|
| 341 |
-
11300 val loss 5.
|
| 342 |
-
11300 val perplexity
|
| 343 |
-
11300 train 5.
|
| 344 |
-
11400 val loss 5.
|
| 345 |
-
11400 val perplexity
|
| 346 |
-
11400 train 5.
|
| 347 |
-
11500 val loss 5.
|
| 348 |
-
11500 val perplexity
|
| 349 |
-
11500 train 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 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 5.
|
| 491 |
-
16300 val loss 5.
|
| 492 |
-
16300 val perplexity
|
| 493 |
-
16300 train 5.
|
| 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 11.2714
|
| 3 |
+
0 val perplexity 78545.6094
|
| 4 |
+
0 train 11.276529 (lr=1.7500e-07) (hash(x)=164406924)
|
| 5 |
+
100 val loss 9.9266
|
| 6 |
+
100 val perplexity 20467.4668
|
| 7 |
+
100 train 9.971992 (lr=1.7675e-05) (hash(x)=177407419)
|
| 8 |
+
200 val loss 8.9790
|
| 9 |
+
200 val perplexity 7934.9438
|
| 10 |
+
200 train 8.945872 (lr=3.5000e-05) (hash(x)=144903932)
|
| 11 |
+
300 val loss 7.9072
|
| 12 |
+
300 val perplexity 2716.8372
|
| 13 |
+
300 train 8.167640 (lr=3.4997e-05) (hash(x)=173839165)
|
| 14 |
+
400 val loss 7.6143
|
| 15 |
+
400 val perplexity 2026.9836
|
| 16 |
+
400 train 7.693684 (lr=3.4990e-05) (hash(x)=167734596)
|
| 17 |
+
500 val loss 7.5204
|
| 18 |
+
500 val perplexity 1845.3423
|
| 19 |
+
500 train 7.531204 (lr=3.4977e-05) (hash(x)=153224076)
|
| 20 |
+
600 val loss 7.4565
|
| 21 |
+
600 val perplexity 1731.0846
|
| 22 |
+
600 train 7.358781 (lr=3.4958e-05) (hash(x)=149619098)
|
| 23 |
+
700 val loss 7.4099
|
| 24 |
+
700 val perplexity 1652.3087
|
| 25 |
+
700 train 7.336334 (lr=3.4935e-05) (hash(x)=146539909)
|
| 26 |
+
800 val loss 7.3613
|
| 27 |
+
800 val perplexity 1573.9480
|
| 28 |
+
800 train 7.321278 (lr=3.4907e-05) (hash(x)=153710890)
|
| 29 |
+
900 val loss 7.3258
|
| 30 |
+
900 val perplexity 1519.0479
|
| 31 |
+
900 train 7.265766 (lr=3.4873e-05) (hash(x)=155873620)
|
| 32 |
+
1000 val loss 7.2840
|
| 33 |
+
1000 val perplexity 1456.8236
|
| 34 |
+
1000 train 7.201667 (lr=3.4834e-05) (hash(x)=145450636)
|
| 35 |
+
1100 val loss 7.2368
|
| 36 |
+
1100 val perplexity 1389.6337
|
| 37 |
+
1100 train 7.307060 (lr=3.4790e-05) (hash(x)=154123388)
|
| 38 |
+
1200 val loss 7.1929
|
| 39 |
+
1200 val perplexity 1329.9440
|
| 40 |
+
1200 train 7.065642 (lr=3.4741e-05) (hash(x)=145249251)
|
| 41 |
+
1300 val loss 7.1508
|
| 42 |
+
1300 val perplexity 1275.1411
|
| 43 |
+
1300 train 7.040481 (lr=3.4687e-05) (hash(x)=148937127)
|
| 44 |
+
1400 val loss 7.1070
|
| 45 |
+
1400 val perplexity 1220.4199
|
| 46 |
+
1400 train 7.223106 (lr=3.4628e-05) (hash(x)=150475545)
|
| 47 |
+
1500 val loss 7.0655
|
| 48 |
+
1500 val perplexity 1170.8129
|
| 49 |
+
1500 train 6.988626 (lr=3.4563e-05) (hash(x)=154653428)
|
| 50 |
+
1600 val loss 7.0237
|
| 51 |
+
1600 val perplexity 1122.9769
|
| 52 |
+
1600 train 7.005347 (lr=3.4494e-05) (hash(x)=144483776)
|
| 53 |
+
1700 val loss 6.9803
|
| 54 |
+
1700 val perplexity 1075.2378
|
| 55 |
+
1700 train 7.135699 (lr=3.4419e-05) (hash(x)=157395496)
|
| 56 |
+
1800 val loss 6.9478
|
| 57 |
+
1800 val perplexity 1040.8788
|
| 58 |
+
1800 train 6.965749 (lr=3.4340e-05) (hash(x)=157916369)
|
| 59 |
+
1900 val loss 6.9103
|
| 60 |
+
1900 val perplexity 1002.5468
|
| 61 |
+
1900 train 7.111033 (lr=3.4255e-05) (hash(x)=166073923)
|
| 62 |
+
2000 val loss 6.8849
|
| 63 |
+
2000 val perplexity 977.3700
|
| 64 |
+
2000 train 6.956383 (lr=3.4166e-05) (hash(x)=154856891)
|
| 65 |
+
2100 val loss 6.8511
|
| 66 |
+
2100 val perplexity 944.8918
|
| 67 |
+
2100 train 6.848049 (lr=3.4072e-05) (hash(x)=151925203)
|
| 68 |
+
2200 val loss 6.8133
|
| 69 |
+
2200 val perplexity 909.8325
|
| 70 |
+
2200 train 6.523357 (lr=3.3973e-05) (hash(x)=136191502)
|
| 71 |
+
2300 val loss 6.7732
|
| 72 |
+
2300 val perplexity 874.0762
|
| 73 |
+
2300 train 6.939043 (lr=3.3869e-05) (hash(x)=153273362)
|
| 74 |
+
2400 val loss 6.7307
|
| 75 |
+
2400 val perplexity 837.6920
|
| 76 |
+
2400 train 6.681937 (lr=3.3760e-05) (hash(x)=148021541)
|
| 77 |
+
2500 val loss 6.7012
|
| 78 |
+
2500 val perplexity 813.3631
|
| 79 |
+
2500 train 6.649411 (lr=3.3646e-05) (hash(x)=141356608)
|
| 80 |
+
2600 val loss 6.6608
|
| 81 |
+
2600 val perplexity 781.1562
|
| 82 |
+
2600 train 6.598667 (lr=3.3528e-05) (hash(x)=146005217)
|
| 83 |
+
2700 val loss 6.6327
|
| 84 |
+
2700 val perplexity 759.5594
|
| 85 |
+
2700 train 6.472603 (lr=3.3405e-05) (hash(x)=144511718)
|
| 86 |
+
2800 val loss 6.5913
|
| 87 |
+
2800 val perplexity 728.7283
|
| 88 |
+
2800 train 6.472763 (lr=3.3277e-05) (hash(x)=146019502)
|
| 89 |
+
2900 val loss 6.5594
|
| 90 |
+
2900 val perplexity 705.8724
|
| 91 |
+
2900 train 6.474362 (lr=3.3144e-05) (hash(x)=146496200)
|
| 92 |
+
3000 val loss 6.5411
|
| 93 |
+
3000 val perplexity 693.0455
|
| 94 |
+
3000 train 6.485529 (lr=3.3008e-05) (hash(x)=150127281)
|
| 95 |
+
3100 val loss 6.5020
|
| 96 |
+
3100 val perplexity 666.4407
|
| 97 |
+
3100 train 6.481001 (lr=3.2866e-05) (hash(x)=142022255)
|
| 98 |
+
3200 val loss 6.4705
|
| 99 |
+
3200 val perplexity 645.7927
|
| 100 |
+
3200 train 6.523926 (lr=3.2720e-05) (hash(x)=154120875)
|
| 101 |
+
3300 val loss 6.4562
|
| 102 |
+
3300 val perplexity 636.6580
|
| 103 |
+
3300 train 6.525292 (lr=3.2570e-05) (hash(x)=153999717)
|
| 104 |
+
3400 val loss 6.4321
|
| 105 |
+
3400 val perplexity 621.4645
|
| 106 |
+
3400 train 6.200135 (lr=3.2415e-05) (hash(x)=139694097)
|
| 107 |
+
3500 val loss 6.4008
|
| 108 |
+
3500 val perplexity 602.3418
|
| 109 |
+
3500 train 6.595932 (lr=3.2256e-05) (hash(x)=162992732)
|
| 110 |
+
3600 val loss 6.3711
|
| 111 |
+
3600 val perplexity 584.6736
|
| 112 |
+
3600 train 6.347825 (lr=3.2092e-05) (hash(x)=147574101)
|
| 113 |
+
3700 val loss 6.3570
|
| 114 |
+
3700 val perplexity 576.4910
|
| 115 |
+
3700 train 6.464335 (lr=3.1924e-05) (hash(x)=157763099)
|
| 116 |
+
3800 val loss 6.3282
|
| 117 |
+
3800 val perplexity 560.1225
|
| 118 |
+
3800 train 6.493472 (lr=3.1753e-05) (hash(x)=170800034)
|
| 119 |
+
3900 val loss 6.3173
|
| 120 |
+
3900 val perplexity 554.0912
|
| 121 |
+
3900 train 6.395955 (lr=3.1577e-05) (hash(x)=164984528)
|
| 122 |
+
4000 val loss 6.2971
|
| 123 |
+
4000 val perplexity 542.9831
|
| 124 |
+
4000 train 6.155862 (lr=3.1397e-05) (hash(x)=141743323)
|
| 125 |
+
4100 val loss 6.2924
|
| 126 |
+
4100 val perplexity 540.4485
|
| 127 |
+
4100 train 6.310122 (lr=3.1212e-05) (hash(x)=153392872)
|
| 128 |
+
4200 val loss 6.2781
|
| 129 |
+
4200 val perplexity 532.7952
|
| 130 |
+
4200 train 6.143710 (lr=3.1024e-05) (hash(x)=149074933)
|
| 131 |
+
4300 val loss 6.2582
|
| 132 |
+
4300 val perplexity 522.2766
|
| 133 |
+
4300 train 6.652179 (lr=3.0833e-05) (hash(x)=167823423)
|
| 134 |
+
4400 val loss 6.2320
|
| 135 |
+
4400 val perplexity 508.7494
|
| 136 |
+
4400 train 5.998601 (lr=3.0637e-05) (hash(x)=141203114)
|
| 137 |
+
4500 val loss 6.2189
|
| 138 |
+
4500 val perplexity 502.1626
|
| 139 |
+
4500 train 6.219765 (lr=3.0437e-05) (hash(x)=146284780)
|
| 140 |
+
4600 val loss 6.2007
|
| 141 |
+
4600 val perplexity 493.1036
|
| 142 |
+
4600 train 6.002645 (lr=3.0234e-05) (hash(x)=141126464)
|
| 143 |
+
4700 val loss 6.1858
|
| 144 |
+
4700 val perplexity 485.7832
|
| 145 |
+
4700 train 6.216115 (lr=3.0027e-05) (hash(x)=154751926)
|
| 146 |
+
4800 val loss 6.1708
|
| 147 |
+
4800 val perplexity 478.5557
|
| 148 |
+
4800 train 6.251617 (lr=2.9817e-05) (hash(x)=154793198)
|
| 149 |
+
4900 val loss 6.1639
|
| 150 |
+
4900 val perplexity 475.2658
|
| 151 |
+
4900 train 5.881503 (lr=2.9603e-05) (hash(x)=139406392)
|
| 152 |
+
5000 val loss 6.1723
|
| 153 |
+
5000 val perplexity 479.2990
|
| 154 |
+
5000 train 5.887846 (lr=2.9386e-05) (hash(x)=153548741)
|
| 155 |
+
5100 val loss 6.1475
|
| 156 |
+
5100 val perplexity 467.5700
|
| 157 |
+
5100 train 6.233172 (lr=2.9166e-05) (hash(x)=160488568)
|
| 158 |
+
5200 val loss 6.1319
|
| 159 |
+
5200 val perplexity 460.3081
|
| 160 |
+
5200 train 6.151352 (lr=2.8942e-05) (hash(x)=149645053)
|
| 161 |
+
5300 val loss 6.1078
|
| 162 |
+
5300 val perplexity 449.3437
|
| 163 |
+
5300 train 6.208061 (lr=2.8715e-05) (hash(x)=155820556)
|
| 164 |
+
5400 val loss 6.0966
|
| 165 |
+
5400 val perplexity 444.3400
|
| 166 |
+
5400 train 6.046060 (lr=2.8484e-05) (hash(x)=147538134)
|
| 167 |
+
5500 val loss 6.0916
|
| 168 |
+
5500 val perplexity 442.1204
|
| 169 |
+
5500 train 6.301843 (lr=2.8251e-05) (hash(x)=166889307)
|
| 170 |
+
5600 val loss 6.0740
|
| 171 |
+
5600 val perplexity 434.4076
|
| 172 |
+
5600 train 5.769093 (lr=2.8015e-05) (hash(x)=139516699)
|
| 173 |
+
5700 val loss 6.0724
|
| 174 |
+
5700 val perplexity 433.7223
|
| 175 |
+
5700 train 5.755292 (lr=2.7776e-05) (hash(x)=140453511)
|
| 176 |
+
5800 val loss 6.0626
|
| 177 |
+
5800 val perplexity 429.4872
|
| 178 |
+
5800 train 6.000001 (lr=2.7534e-05) (hash(x)=162964847)
|
| 179 |
+
5900 val loss 6.0503
|
| 180 |
+
5900 val perplexity 424.2379
|
| 181 |
+
5900 train 6.053433 (lr=2.7290e-05) (hash(x)=150606634)
|
| 182 |
+
6000 val loss 6.0302
|
| 183 |
+
6000 val perplexity 415.8105
|
| 184 |
+
6000 train 6.121263 (lr=2.7042e-05) (hash(x)=149890857)
|
| 185 |
+
6100 val loss 6.0265
|
| 186 |
+
6100 val perplexity 414.2556
|
| 187 |
+
6100 train 6.125873 (lr=2.6792e-05) (hash(x)=173884145)
|
| 188 |
+
6200 val loss 6.0170
|
| 189 |
+
6200 val perplexity 410.3571
|
| 190 |
+
6200 train 6.064613 (lr=2.6540e-05) (hash(x)=151987098)
|
| 191 |
+
6300 val loss 6.0003
|
| 192 |
+
6300 val perplexity 403.5415
|
| 193 |
+
6300 train 5.954297 (lr=2.6285e-05) (hash(x)=148853562)
|
| 194 |
+
6400 val loss 5.9930
|
| 195 |
+
6400 val perplexity 400.5982
|
| 196 |
+
6400 train 5.743896 (lr=2.6028e-05) (hash(x)=141530101)
|
| 197 |
+
6500 val loss 5.9873
|
| 198 |
+
6500 val perplexity 398.3281
|
| 199 |
+
6500 train 5.854073 (lr=2.5769e-05) (hash(x)=142297809)
|
| 200 |
+
6600 val loss 5.9702
|
| 201 |
+
6600 val perplexity 391.5672
|
| 202 |
+
6600 train 5.868578 (lr=2.5508e-05) (hash(x)=142447782)
|
| 203 |
+
6700 val loss 5.9670
|
| 204 |
+
6700 val perplexity 390.3195
|
| 205 |
+
6700 train 5.964384 (lr=2.5244e-05) (hash(x)=147004686)
|
| 206 |
+
6800 val loss 5.9555
|
| 207 |
+
6800 val perplexity 385.8641
|
| 208 |
+
6800 train 5.699266 (lr=2.4979e-05) (hash(x)=133438702)
|
| 209 |
+
6900 val loss 5.9538
|
| 210 |
+
6900 val perplexity 385.2148
|
| 211 |
+
6900 train 5.983283 (lr=2.4711e-05) (hash(x)=157085143)
|
| 212 |
+
7000 val loss 5.9415
|
| 213 |
+
7000 val perplexity 380.5093
|
| 214 |
+
7000 train 5.814411 (lr=2.4442e-05) (hash(x)=139437666)
|
| 215 |
+
7100 val loss 5.9337
|
| 216 |
+
7100 val perplexity 377.5412
|
| 217 |
+
7100 train 5.945026 (lr=2.4171e-05) (hash(x)=159792986)
|
| 218 |
+
7200 val loss 5.9151
|
| 219 |
+
7200 val perplexity 370.6091
|
| 220 |
+
7200 train 5.902672 (lr=2.3899e-05) (hash(x)=144930687)
|
| 221 |
+
7300 val loss 5.9125
|
| 222 |
+
7300 val perplexity 369.6437
|
| 223 |
+
7300 train 5.960479 (lr=2.3625e-05) (hash(x)=156242690)
|
| 224 |
+
7400 val loss 5.9014
|
| 225 |
+
7400 val perplexity 365.5585
|
| 226 |
+
7400 train 5.731031 (lr=2.3349e-05) (hash(x)=148183719)
|
| 227 |
+
7500 val loss 5.8968
|
| 228 |
+
7500 val perplexity 363.8860
|
| 229 |
+
7500 train 5.943295 (lr=2.3073e-05) (hash(x)=152494758)
|
| 230 |
+
7600 val loss 5.8931
|
| 231 |
+
7600 val perplexity 362.5366
|
| 232 |
+
7600 train 5.588400 (lr=2.2795e-05) (hash(x)=142485027)
|
| 233 |
+
7700 val loss 5.8946
|
| 234 |
+
7700 val perplexity 363.0880
|
| 235 |
+
7700 train 5.764569 (lr=2.2515e-05) (hash(x)=147512165)
|
| 236 |
+
7800 val loss 5.8700
|
| 237 |
+
7800 val perplexity 354.2464
|
| 238 |
+
7800 train 5.741778 (lr=2.2235e-05) (hash(x)=160346994)
|
| 239 |
+
7900 val loss 5.8666
|
| 240 |
+
7900 val perplexity 353.0454
|
| 241 |
+
7900 train 5.738772 (lr=2.1954e-05) (hash(x)=144488254)
|
| 242 |
+
8000 val loss 5.8550
|
| 243 |
+
8000 val perplexity 348.9649
|
| 244 |
+
8000 train 5.665582 (lr=2.1671e-05) (hash(x)=147637019)
|
| 245 |
+
8100 val loss 5.8522
|
| 246 |
+
8100 val perplexity 348.0111
|
| 247 |
+
8100 train 5.713085 (lr=2.1388e-05) (hash(x)=147340534)
|
| 248 |
+
8200 val loss 5.8435
|
| 249 |
+
8200 val perplexity 344.9934
|
| 250 |
+
8200 train 5.907599 (lr=2.1105e-05) (hash(x)=151630665)
|
| 251 |
+
8300 val loss 5.8371
|
| 252 |
+
8300 val perplexity 342.7936
|
| 253 |
+
8300 train 5.941170 (lr=2.0820e-05) (hash(x)=149747064)
|
| 254 |
+
8400 val loss 5.8255
|
| 255 |
+
8400 val perplexity 338.8247
|
| 256 |
+
8400 train 6.025146 (lr=2.0536e-05) (hash(x)=154245770)
|
| 257 |
+
8500 val loss 5.8218
|
| 258 |
+
8500 val perplexity 337.5670
|
| 259 |
+
8500 train 5.710631 (lr=2.0250e-05) (hash(x)=152559100)
|
| 260 |
+
8600 val loss 5.8137
|
| 261 |
+
8600 val perplexity 334.8488
|
| 262 |
+
8600 train 6.208880 (lr=1.9965e-05) (hash(x)=181365926)
|
| 263 |
+
8700 val loss 5.8088
|
| 264 |
+
8700 val perplexity 333.2325
|
| 265 |
+
8700 train 5.632130 (lr=1.9679e-05) (hash(x)=154405991)
|
| 266 |
+
8800 val loss 5.7990
|
| 267 |
+
8800 val perplexity 329.9627
|
| 268 |
+
8800 train 5.749090 (lr=1.9393e-05) (hash(x)=153755904)
|
| 269 |
+
8900 val loss 5.7975
|
| 270 |
+
8900 val perplexity 329.4634
|
| 271 |
+
8900 train 5.708569 (lr=1.9107e-05) (hash(x)=152120568)
|
| 272 |
+
9000 val loss 5.7785
|
| 273 |
+
9000 val perplexity 323.2753
|
| 274 |
+
9000 train 5.573270 (lr=1.8821e-05) (hash(x)=142797279)
|
| 275 |
+
9100 val loss 5.7769
|
| 276 |
+
9100 val perplexity 322.7535
|
| 277 |
+
9100 train 5.646819 (lr=1.8535e-05) (hash(x)=143037503)
|
| 278 |
+
9200 val loss 5.7753
|
| 279 |
+
9200 val perplexity 322.2328
|
| 280 |
+
9200 train 5.649633 (lr=1.8250e-05) (hash(x)=113690273)
|
| 281 |
+
9300 val loss 5.7678
|
| 282 |
+
9300 val perplexity 319.8191
|
| 283 |
+
9300 train 5.708163 (lr=1.7964e-05) (hash(x)=158025077)
|
| 284 |
+
9400 val loss 5.7595
|
| 285 |
+
9400 val perplexity 317.1894
|
| 286 |
+
9400 train 5.840967 (lr=1.7680e-05) (hash(x)=158251718)
|
| 287 |
+
9500 val loss 5.7562
|
| 288 |
+
9500 val perplexity 316.1416
|
| 289 |
+
9500 train 5.786424 (lr=1.7395e-05) (hash(x)=154752610)
|
| 290 |
+
9600 val loss 5.7477
|
| 291 |
+
9600 val perplexity 313.4607
|
| 292 |
+
9600 train 5.630883 (lr=1.7112e-05) (hash(x)=146889093)
|
| 293 |
+
9700 val loss 5.7382
|
| 294 |
+
9700 val perplexity 310.4960
|
| 295 |
+
9700 train 5.741565 (lr=1.6829e-05) (hash(x)=156906516)
|
| 296 |
+
9800 val loss 5.7365
|
| 297 |
+
9800 val perplexity 309.9757
|
| 298 |
+
9800 train 5.562198 (lr=1.6546e-05) (hash(x)=153841927)
|
| 299 |
+
9900 val loss 5.7311
|
| 300 |
+
9900 val perplexity 308.3038
|
| 301 |
+
9900 train 5.949374 (lr=1.6265e-05) (hash(x)=163514334)
|
| 302 |
+
10000 val loss 5.7238
|
| 303 |
+
10000 val perplexity 306.0793
|
| 304 |
+
10000 train 5.723799 (lr=1.5985e-05) (hash(x)=144745561)
|
| 305 |
+
10100 val loss 5.7185
|
| 306 |
+
10100 val perplexity 304.4456
|
| 307 |
+
10100 train 5.935614 (lr=1.5705e-05) (hash(x)=161651149)
|
| 308 |
+
10200 val loss 5.7124
|
| 309 |
+
10200 val perplexity 302.5875
|
| 310 |
+
10200 train 5.650381 (lr=1.5427e-05) (hash(x)=143667037)
|
| 311 |
+
10300 val loss 5.7086
|
| 312 |
+
10300 val perplexity 301.4551
|
| 313 |
+
10300 train 5.606673 (lr=1.5151e-05) (hash(x)=151687262)
|
| 314 |
+
10400 val loss 5.7048
|
| 315 |
+
10400 val perplexity 300.2989
|
| 316 |
+
10400 train 5.547319 (lr=1.4875e-05) (hash(x)=153694955)
|
| 317 |
+
10500 val loss 5.7046
|
| 318 |
+
10500 val perplexity 300.2592
|
| 319 |
+
10500 train 5.655263 (lr=1.4601e-05) (hash(x)=150218029)
|
| 320 |
+
10600 val loss 5.6985
|
| 321 |
+
10600 val perplexity 298.4055
|
| 322 |
+
10600 train 5.777823 (lr=1.4329e-05) (hash(x)=155093716)
|
| 323 |
+
10700 val loss 5.6915
|
| 324 |
+
10700 val perplexity 296.3455
|
| 325 |
+
10700 train 5.739979 (lr=1.4058e-05) (hash(x)=151631831)
|
| 326 |
+
10800 val loss 5.6844
|
| 327 |
+
10800 val perplexity 294.2519
|
| 328 |
+
10800 train 5.547766 (lr=1.3789e-05) (hash(x)=136465175)
|
| 329 |
+
10900 val loss 5.6813
|
| 330 |
+
10900 val perplexity 293.3297
|
| 331 |
+
10900 train 5.622696 (lr=1.3521e-05) (hash(x)=154461514)
|
| 332 |
+
11000 val loss 5.6797
|
| 333 |
+
11000 val perplexity 292.8474
|
| 334 |
+
11000 train 5.673146 (lr=1.3256e-05) (hash(x)=141877432)
|
| 335 |
+
11100 val loss 5.6754
|
| 336 |
+
11100 val perplexity 291.5960
|
| 337 |
+
11100 train 5.466080 (lr=1.2992e-05) (hash(x)=139572894)
|
| 338 |
+
11200 val loss 5.6679
|
| 339 |
+
11200 val perplexity 289.4243
|
| 340 |
+
11200 train 5.721173 (lr=1.2731e-05) (hash(x)=155591443)
|
| 341 |
+
11300 val loss 5.6625
|
| 342 |
+
11300 val perplexity 287.8601
|
| 343 |
+
11300 train 5.691182 (lr=1.2472e-05) (hash(x)=153349136)
|
| 344 |
+
11400 val loss 5.6604
|
| 345 |
+
11400 val perplexity 287.2627
|
| 346 |
+
11400 train 5.621408 (lr=1.2215e-05) (hash(x)=148109395)
|
| 347 |
+
11500 val loss 5.6564
|
| 348 |
+
11500 val perplexity 286.1266
|
| 349 |
+
11500 train 5.653296 (lr=1.1960e-05) (hash(x)=153276620)
|
| 350 |
+
11600 val loss 5.6545
|
| 351 |
+
11600 val perplexity 285.5773
|
| 352 |
+
11600 train 5.523118 (lr=1.1708e-05) (hash(x)=151416388)
|
| 353 |
+
11700 val loss 5.6520
|
| 354 |
+
11700 val perplexity 284.8488
|
| 355 |
+
11700 train 5.519225 (lr=1.1458e-05) (hash(x)=143420927)
|
| 356 |
+
11800 val loss 5.6470
|
| 357 |
+
11800 val perplexity 283.4373
|
| 358 |
+
11800 train 5.705198 (lr=1.1210e-05) (hash(x)=165023996)
|
| 359 |
+
11900 val loss 5.6393
|
| 360 |
+
11900 val perplexity 281.2567
|
| 361 |
+
11900 train 5.543955 (lr=1.0966e-05) (hash(x)=144465076)
|
| 362 |
+
12000 val loss 5.6378
|
| 363 |
+
12000 val perplexity 280.8501
|
| 364 |
+
12000 train 5.653812 (lr=1.0724e-05) (hash(x)=155991892)
|
| 365 |
+
12100 val loss 5.6366
|
| 366 |
+
12100 val perplexity 280.5099
|
| 367 |
+
12100 train 5.683947 (lr=1.0485e-05) (hash(x)=150748844)
|
| 368 |
+
12200 val loss 5.6320
|
| 369 |
+
12200 val perplexity 279.2109
|
| 370 |
+
12200 train 5.605118 (lr=1.0249e-05) (hash(x)=149712638)
|
| 371 |
+
12300 val loss 5.6304
|
| 372 |
+
12300 val perplexity 278.7651
|
| 373 |
+
12300 train 5.462433 (lr=1.0016e-05) (hash(x)=140428230)
|
| 374 |
+
12400 val loss 5.6273
|
| 375 |
+
12400 val perplexity 277.9107
|
| 376 |
+
12400 train 5.813768 (lr=9.7854e-06) (hash(x)=163614308)
|
| 377 |
+
12500 val loss 5.6219
|
| 378 |
+
12500 val perplexity 276.4029
|
| 379 |
+
12500 train 5.587658 (lr=9.5583e-06) (hash(x)=153366153)
|
| 380 |
+
12600 val loss 5.6200
|
| 381 |
+
12600 val perplexity 275.8958
|
| 382 |
+
12600 train 5.525670 (lr=9.3345e-06) (hash(x)=146832066)
|
| 383 |
+
12700 val loss 5.6159
|
| 384 |
+
12700 val perplexity 274.7627
|
| 385 |
+
12700 train 5.789717 (lr=9.1139e-06) (hash(x)=154387414)
|
| 386 |
+
12800 val loss 5.6145
|
| 387 |
+
12800 val perplexity 274.3859
|
| 388 |
+
12800 train 5.408749 (lr=8.8967e-06) (hash(x)=139465199)
|
| 389 |
+
12900 val loss 5.6157
|
| 390 |
+
12900 val perplexity 274.7184
|
| 391 |
+
12900 train 5.331150 (lr=8.6829e-06) (hash(x)=143326374)
|
| 392 |
+
13000 val loss 5.6096
|
| 393 |
+
13000 val perplexity 273.0276
|
| 394 |
+
13000 train 5.762860 (lr=8.4726e-06) (hash(x)=158817835)
|
| 395 |
+
13100 val loss 5.6064
|
| 396 |
+
13100 val perplexity 272.1617
|
| 397 |
+
13100 train 5.488267 (lr=8.2658e-06) (hash(x)=142027874)
|
| 398 |
+
13200 val loss 5.6051
|
| 399 |
+
13200 val perplexity 271.8146
|
| 400 |
+
13200 train 5.591190 (lr=8.0626e-06) (hash(x)=148497730)
|
| 401 |
+
13300 val loss 5.6034
|
| 402 |
+
13300 val perplexity 271.3353
|
| 403 |
+
13300 train 5.507898 (lr=7.8632e-06) (hash(x)=148094633)
|
| 404 |
+
13400 val loss 5.5998
|
| 405 |
+
13400 val perplexity 270.3817
|
| 406 |
+
13400 train 5.463295 (lr=7.6674e-06) (hash(x)=150548214)
|
| 407 |
+
13500 val loss 5.5936
|
| 408 |
+
13500 val perplexity 268.7015
|
| 409 |
+
13500 train 5.709482 (lr=7.4756e-06) (hash(x)=152789725)
|
| 410 |
+
13600 val loss 5.5917
|
| 411 |
+
13600 val perplexity 268.1876
|
| 412 |
+
13600 train 5.634488 (lr=7.2875e-06) (hash(x)=153220230)
|
| 413 |
+
13700 val loss 5.5894
|
| 414 |
+
13700 val perplexity 267.5828
|
| 415 |
+
13700 train 5.616460 (lr=7.1035e-06) (hash(x)=147805699)
|
| 416 |
+
13800 val loss 5.5893
|
| 417 |
+
13800 val perplexity 267.5524
|
| 418 |
+
13800 train 5.399392 (lr=6.9234e-06) (hash(x)=146267341)
|
| 419 |
+
13900 val loss 5.5881
|
| 420 |
+
13900 val perplexity 267.2294
|
| 421 |
+
13900 train 5.423314 (lr=6.7474e-06) (hash(x)=139467501)
|
| 422 |
+
14000 val loss 5.5856
|
| 423 |
+
14000 val perplexity 266.5664
|
| 424 |
+
14000 train 5.602534 (lr=6.5756e-06) (hash(x)=152185436)
|
| 425 |
+
14100 val loss 5.5805
|
| 426 |
+
14100 val perplexity 265.2093
|
| 427 |
+
14100 train 5.709170 (lr=6.4079e-06) (hash(x)=176479139)
|
| 428 |
+
14200 val loss 5.5764
|
| 429 |
+
14200 val perplexity 264.1297
|
| 430 |
+
14200 train 5.654222 (lr=6.2444e-06) (hash(x)=151052040)
|
| 431 |
+
14300 val loss 5.5752
|
| 432 |
+
14300 val perplexity 263.8138
|
| 433 |
+
14300 train 5.522494 (lr=6.0852e-06) (hash(x)=149668097)
|
| 434 |
+
14400 val loss 5.5749
|
| 435 |
+
14400 val perplexity 263.7227
|
| 436 |
+
14400 train 5.588047 (lr=5.9304e-06) (hash(x)=151761941)
|
| 437 |
+
14500 val loss 5.5726
|
| 438 |
+
14500 val perplexity 263.1170
|
| 439 |
+
14500 train 5.530627 (lr=5.7800e-06) (hash(x)=149412009)
|
| 440 |
+
14600 val loss 5.5700
|
| 441 |
+
14600 val perplexity 262.4285
|
| 442 |
+
14600 train 5.451919 (lr=5.6340e-06) (hash(x)=145048020)
|
| 443 |
+
14700 val loss 5.5677
|
| 444 |
+
14700 val perplexity 261.8238
|
| 445 |
+
14700 train 5.520936 (lr=5.4925e-06) (hash(x)=141771666)
|
| 446 |
+
14800 val loss 5.5643
|
| 447 |
+
14800 val perplexity 260.9447
|
| 448 |
+
14800 train 5.486890 (lr=5.3555e-06) (hash(x)=148759740)
|
| 449 |
+
14900 val loss 5.5629
|
| 450 |
+
14900 val perplexity 260.5715
|
| 451 |
+
14900 train 5.491292 (lr=5.2231e-06) (hash(x)=146287032)
|
| 452 |
+
15000 val loss 5.5606
|
| 453 |
+
15000 val perplexity 259.9802
|
| 454 |
+
15000 train 5.507795 (lr=5.0954e-06) (hash(x)=143519156)
|
| 455 |
+
15100 val loss 5.5632
|
| 456 |
+
15100 val perplexity 260.6473
|
| 457 |
+
15100 train 5.548056 (lr=4.9723e-06) (hash(x)=151330688)
|
| 458 |
+
15200 val loss 5.5655
|
| 459 |
+
15200 val perplexity 261.2667
|
| 460 |
+
15200 train 5.371873 (lr=4.8539e-06) (hash(x)=140380090)
|
| 461 |
+
15300 val loss 5.5599
|
| 462 |
+
15300 val perplexity 259.7881
|
| 463 |
+
15300 train 5.470203 (lr=4.7403e-06) (hash(x)=152598160)
|
| 464 |
+
15400 val loss 5.5553
|
| 465 |
+
15400 val perplexity 258.5987
|
| 466 |
+
15400 train 5.792345 (lr=4.6314e-06) (hash(x)=164136966)
|
| 467 |
+
15500 val loss 5.5544
|
| 468 |
+
15500 val perplexity 258.3689
|
| 469 |
+
15500 train 5.751496 (lr=4.5274e-06) (hash(x)=158733990)
|
| 470 |
+
15600 val loss 5.5519
|
| 471 |
+
15600 val perplexity 257.7298
|
| 472 |
+
15600 train 5.593985 (lr=4.4282e-06) (hash(x)=149149390)
|
| 473 |
+
15700 val loss 5.5506
|
| 474 |
+
15700 val perplexity 257.3911
|
| 475 |
+
15700 train 5.507520 (lr=4.3339e-06) (hash(x)=146746394)
|
| 476 |
+
15800 val loss 5.5500
|
| 477 |
+
15800 val perplexity 257.2358
|
| 478 |
+
15800 train 5.569361 (lr=4.2446e-06) (hash(x)=159405219)
|
| 479 |
+
15900 val loss 5.5485
|
| 480 |
+
15900 val perplexity 256.8521
|
| 481 |
+
15900 train 5.591457 (lr=4.1601e-06) (hash(x)=154034029)
|
| 482 |
+
16000 val loss 5.5467
|
| 483 |
+
16000 val perplexity 256.3889
|
| 484 |
+
16000 train 5.543062 (lr=4.0807e-06) (hash(x)=153634210)
|
| 485 |
+
16100 val loss 5.5438
|
| 486 |
+
16100 val perplexity 255.6543
|
| 487 |
+
16100 train 5.479768 (lr=4.0063e-06) (hash(x)=155646721)
|
| 488 |
+
16200 val loss 5.5435
|
| 489 |
+
16200 val perplexity 255.5702
|
| 490 |
+
16200 train 5.458189 (lr=3.9368e-06) (hash(x)=142461643)
|
| 491 |
+
16300 val loss 5.5426
|
| 492 |
+
16300 val perplexity 255.3481
|
| 493 |
+
16300 train 5.459714 (lr=3.8725e-06) (hash(x)=141080038)
|
| 494 |
+
16400 val loss 5.5416
|
| 495 |
+
16400 val perplexity 255.0929
|
| 496 |
+
16400 train 5.554860 (lr=3.8132e-06) (hash(x)=153744166)
|
| 497 |
+
16500 val loss 5.5441
|
| 498 |
+
16500 val perplexity 255.7334
|
| 499 |
+
16500 train 5.367388 (lr=3.7590e-06) (hash(x)=149783517)
|
| 500 |
+
16600 val loss 5.5463
|
| 501 |
+
16600 val perplexity 256.2921
|
| 502 |
+
16600 train 5.386395 (lr=3.7099e-06) (hash(x)=142659127)
|
| 503 |
+
16700 val loss 5.5397
|
| 504 |
+
16700 val perplexity 254.5953
|
| 505 |
+
16700 train 5.616637 (lr=3.6659e-06) (hash(x)=149725921)
|
| 506 |
+
16800 val loss 5.5367
|
| 507 |
+
16800 val perplexity 253.8382
|
| 508 |
+
16800 train 5.392825 (lr=3.6271e-06) (hash(x)=140678087)
|
| 509 |
+
16900 val loss 5.5347
|
| 510 |
+
16900 val perplexity 253.3222
|
| 511 |
+
16900 train 5.555767 (lr=3.5934e-06) (hash(x)=146935413)
|
| 512 |
+
17000 val loss 5.5331
|
| 513 |
+
17000 val perplexity 252.9307
|
| 514 |
+
17000 train 5.549460 (lr=3.5649e-06) (hash(x)=144408437)
|
| 515 |
+
17100 val loss 5.5327
|
| 516 |
+
17100 val perplexity 252.8303
|
| 517 |
+
17100 train 5.365889 (lr=3.5415e-06) (hash(x)=149229905)
|
| 518 |
+
17200 val loss 5.5338
|
| 519 |
+
17200 val perplexity 253.1139
|
| 520 |
+
17200 train 5.497445 (lr=3.5234e-06) (hash(x)=150471865)
|
| 521 |
+
17300 val loss 5.5350
|
| 522 |
+
17300 val perplexity 253.3969
|
| 523 |
+
17300 train 5.428278 (lr=3.5104e-06) (hash(x)=155784916)
|
| 524 |
+
17400 val loss 5.5377
|
| 525 |
+
17400 val perplexity 254.0839
|
| 526 |
+
17400 train 5.318845 (lr=3.5026e-06) (hash(x)=148482413)
|
| 527 |
+
17499 val loss 5.5305
|
| 528 |
+
17499 val perplexity 252.2734
|
attention_kindselective_n_heads4_seed1340/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 sha256:4923e7ab702d1408072d4b06f276cf73b3ab667510dbbd6f90cda737d2a3559a
|
| 3 |
size 92843394
|
attention_kindselective_n_heads4_seed1340/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 sha256:82254200685547f8a942c48ae6e428bb336a452a15fc717fa5d70f603e7ad765
|
| 3 |
size 179406214
|