Upload folder using huggingface_hub
Browse files- attention_kindselective_n_heads2_seed1340/args.json +1 -1
- attention_kindselective_n_heads2_seed1340/log2.txt +300 -300
- attention_kindselective_n_heads2_seed1340/model_02500.pt +1 -1
- attention_kindselective_n_heads2_seed1340/model_05000.pt +1 -1
- attention_kindselective_n_heads2_seed1340/model_07500.pt +1 -1
- attention_kindselective_n_heads2_seed1340/model_09999.pt +1 -1
- attention_kindselective_n_heads2_seed1340/optimizer_02500.pt +1 -1
- attention_kindselective_n_heads2_seed1340/optimizer_05000.pt +1 -1
- attention_kindselective_n_heads2_seed1340/optimizer_07500.pt +1 -1
- attention_kindselective_n_heads2_seed1340/optimizer_09999.pt +1 -1
attention_kindselective_n_heads2_seed1340/args.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads2_seed1340", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_4", "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":
|
|
|
|
| 1 |
+
{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindselective_n_heads2_seed1340", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_4", "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": 5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "0.5e-4_30720_2_1340", "n_embd": 128}
|
attention_kindselective_n_heads2_seed1340/log2.txt
CHANGED
|
@@ -1,303 +1,303 @@
|
|
| 1 |
max_steps: 10000
|
| 2 |
0 val loss 11.8210
|
| 3 |
0 val perplexity 136085.8281
|
| 4 |
-
0 train 11.833096 (lr=
|
| 5 |
-
100 val loss
|
| 6 |
-
100 val perplexity
|
| 7 |
-
100 train
|
| 8 |
-
200 val loss
|
| 9 |
-
200 val perplexity
|
| 10 |
-
200 train
|
| 11 |
-
300 val loss 7.
|
| 12 |
-
300 val perplexity
|
| 13 |
-
300 train
|
| 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 7.
|
| 50 |
-
1600 val loss 7.
|
| 51 |
-
1600 val perplexity
|
| 52 |
-
1600 train 7.
|
| 53 |
-
1700 val loss 7.
|
| 54 |
-
1700 val perplexity
|
| 55 |
-
1700 train 7.
|
| 56 |
-
1800 val loss 7.
|
| 57 |
-
1800 val perplexity
|
| 58 |
-
1800 train 7.
|
| 59 |
-
1900 val loss 7.
|
| 60 |
-
1900 val perplexity
|
| 61 |
-
1900 train 7.
|
| 62 |
-
2000 val loss 7.
|
| 63 |
-
2000 val perplexity
|
| 64 |
-
2000 train 7.
|
| 65 |
-
2100 val loss
|
| 66 |
-
2100 val perplexity
|
| 67 |
-
2100 train
|
| 68 |
-
2200 val loss
|
| 69 |
-
2200 val perplexity
|
| 70 |
-
2200 train 6.
|
| 71 |
-
2300 val loss
|
| 72 |
-
2300 val perplexity
|
| 73 |
-
2300 train
|
| 74 |
-
2400 val loss
|
| 75 |
-
2400 val perplexity
|
| 76 |
-
2400 train
|
| 77 |
-
2500 val loss
|
| 78 |
-
2500 val perplexity
|
| 79 |
-
2500 train
|
| 80 |
-
2600 val loss
|
| 81 |
-
2600 val perplexity
|
| 82 |
-
2600 train
|
| 83 |
-
2700 val loss
|
| 84 |
-
2700 val perplexity
|
| 85 |
-
2700 train 6.
|
| 86 |
-
2800 val loss
|
| 87 |
-
2800 val perplexity
|
| 88 |
-
2800 train 6.
|
| 89 |
-
2900 val loss
|
| 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
|
| 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
|
| 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 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
|
| 152 |
-
5000 val loss 6.
|
| 153 |
-
5000 val perplexity
|
| 154 |
-
5000 train
|
| 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
|
| 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 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 6.
|
| 194 |
-
6400 val loss 6.
|
| 195 |
-
6400 val perplexity
|
| 196 |
-
6400 train
|
| 197 |
-
6500 val loss 6.
|
| 198 |
-
6500 val perplexity
|
| 199 |
-
6500 train
|
| 200 |
-
6600 val loss 6.
|
| 201 |
-
6600 val perplexity
|
| 202 |
-
6600 train
|
| 203 |
-
6700 val loss 6.
|
| 204 |
-
6700 val perplexity
|
| 205 |
-
6700 train 6.
|
| 206 |
-
6800 val loss 6.
|
| 207 |
-
6800 val perplexity
|
| 208 |
-
6800 train
|
| 209 |
-
6900 val loss 6.
|
| 210 |
-
6900 val perplexity
|
| 211 |
-
6900 train 6.
|
| 212 |
-
7000 val loss 6.
|
| 213 |
-
7000 val perplexity
|
| 214 |
-
7000 train
|
| 215 |
-
7100 val loss 6.
|
| 216 |
-
7100 val perplexity
|
| 217 |
-
7100 train 6.
|
| 218 |
-
7200 val loss 6.
|
| 219 |
-
7200 val perplexity
|
| 220 |
-
7200 train 6.
|
| 221 |
-
7300 val loss 6.
|
| 222 |
-
7300 val perplexity
|
| 223 |
-
7300 train 6.
|
| 224 |
-
7400 val loss 6.
|
| 225 |
-
7400 val perplexity
|
| 226 |
-
7400 train
|
| 227 |
-
7500 val loss 6.
|
| 228 |
-
7500 val perplexity
|
| 229 |
-
7500 train 6.
|
| 230 |
-
7600 val loss 6.
|
| 231 |
-
7600 val perplexity
|
| 232 |
-
7600 train
|
| 233 |
-
7700 val loss 6.
|
| 234 |
-
7700 val perplexity
|
| 235 |
-
7700 train
|
| 236 |
-
7800 val loss 6.
|
| 237 |
-
7800 val perplexity
|
| 238 |
-
7800 train
|
| 239 |
-
7900 val loss 6.
|
| 240 |
-
7900 val perplexity
|
| 241 |
-
7900 train
|
| 242 |
-
8000 val loss 6.
|
| 243 |
-
8000 val perplexity
|
| 244 |
-
8000 train
|
| 245 |
-
8100 val loss 6.
|
| 246 |
-
8100 val perplexity
|
| 247 |
-
8100 train
|
| 248 |
-
8200 val loss 6.
|
| 249 |
-
8200 val perplexity
|
| 250 |
-
8200 train 6.
|
| 251 |
-
8300 val loss 6.
|
| 252 |
-
8300 val perplexity
|
| 253 |
-
8300 train 6.
|
| 254 |
-
8400 val loss 6.
|
| 255 |
-
8400 val perplexity
|
| 256 |
-
8400 train 6.
|
| 257 |
-
8500 val loss 6.
|
| 258 |
-
8500 val perplexity
|
| 259 |
-
8500 train
|
| 260 |
-
8600 val loss 6.
|
| 261 |
-
8600 val perplexity
|
| 262 |
-
8600 train 6.
|
| 263 |
-
8700 val loss 6.
|
| 264 |
-
8700 val perplexity
|
| 265 |
-
8700 train
|
| 266 |
-
8800 val loss 6.
|
| 267 |
-
8800 val perplexity
|
| 268 |
-
8800 train
|
| 269 |
-
8900 val loss 6.
|
| 270 |
-
8900 val perplexity
|
| 271 |
-
8900 train
|
| 272 |
-
9000 val loss 6.
|
| 273 |
-
9000 val perplexity
|
| 274 |
-
9000 train
|
| 275 |
-
9100 val loss 6.
|
| 276 |
-
9100 val perplexity
|
| 277 |
-
9100 train
|
| 278 |
-
9200 val loss 6.
|
| 279 |
-
9200 val perplexity
|
| 280 |
-
9200 train
|
| 281 |
-
9300 val loss 6.
|
| 282 |
-
9300 val perplexity
|
| 283 |
-
9300 train
|
| 284 |
-
9400 val loss 6.
|
| 285 |
-
9400 val perplexity
|
| 286 |
-
9400 train 6.
|
| 287 |
-
9500 val loss
|
| 288 |
-
9500 val perplexity
|
| 289 |
-
9500 train 6.
|
| 290 |
-
9600 val loss
|
| 291 |
-
9600 val perplexity
|
| 292 |
-
9600 train
|
| 293 |
-
9700 val loss
|
| 294 |
-
9700 val perplexity
|
| 295 |
-
9700 train 6.
|
| 296 |
-
9800 val loss
|
| 297 |
-
9800 val perplexity
|
| 298 |
-
9800 train
|
| 299 |
-
9900 val loss
|
| 300 |
-
9900 val perplexity
|
| 301 |
-
9900 train 6.
|
| 302 |
-
9999 val loss
|
| 303 |
-
9999 val perplexity
|
|
|
|
| 1 |
max_steps: 10000
|
| 2 |
0 val loss 11.8210
|
| 3 |
0 val perplexity 136085.8281
|
| 4 |
+
0 train 11.833096 (lr=2.5000e-07) (hash(x)=164406924)
|
| 5 |
+
100 val loss 10.1314
|
| 6 |
+
100 val perplexity 25120.3730
|
| 7 |
+
100 train 10.435864 (lr=2.5250e-05) (hash(x)=177407419)
|
| 8 |
+
200 val loss 8.5877
|
| 9 |
+
200 val perplexity 5365.3306
|
| 10 |
+
200 train 8.530438 (lr=5.0000e-05) (hash(x)=144903932)
|
| 11 |
+
300 val loss 7.9051
|
| 12 |
+
300 val perplexity 2711.0681
|
| 13 |
+
300 train 8.196055 (lr=4.9988e-05) (hash(x)=173839165)
|
| 14 |
+
400 val loss 7.6891
|
| 15 |
+
400 val perplexity 2184.3062
|
| 16 |
+
400 train 7.772710 (lr=4.9954e-05) (hash(x)=167734596)
|
| 17 |
+
500 val loss 7.5944
|
| 18 |
+
500 val perplexity 1987.0854
|
| 19 |
+
500 train 7.608729 (lr=4.9896e-05) (hash(x)=153224076)
|
| 20 |
+
600 val loss 7.5572
|
| 21 |
+
600 val perplexity 1914.4473
|
| 22 |
+
600 train 7.472777 (lr=4.9815e-05) (hash(x)=149619098)
|
| 23 |
+
700 val loss 7.5444
|
| 24 |
+
700 val perplexity 1890.2152
|
| 25 |
+
700 train 7.501118 (lr=4.9712e-05) (hash(x)=146539909)
|
| 26 |
+
800 val loss 7.5187
|
| 27 |
+
800 val perplexity 1842.2115
|
| 28 |
+
800 train 7.481338 (lr=4.9585e-05) (hash(x)=153710890)
|
| 29 |
+
900 val loss 7.5052
|
| 30 |
+
900 val perplexity 1817.4755
|
| 31 |
+
900 train 7.457563 (lr=4.9436e-05) (hash(x)=155873620)
|
| 32 |
+
1000 val loss 7.4734
|
| 33 |
+
1000 val perplexity 1760.6692
|
| 34 |
+
1000 train 7.401876 (lr=4.9264e-05) (hash(x)=145450636)
|
| 35 |
+
1100 val loss 7.4466
|
| 36 |
+
1100 val perplexity 1714.0623
|
| 37 |
+
1100 train 7.503413 (lr=4.9070e-05) (hash(x)=154123388)
|
| 38 |
+
1200 val loss 7.4085
|
| 39 |
+
1200 val perplexity 1650.0238
|
| 40 |
+
1200 train 7.273043 (lr=4.8854e-05) (hash(x)=145249251)
|
| 41 |
+
1300 val loss 7.3725
|
| 42 |
+
1300 val perplexity 1591.5873
|
| 43 |
+
1300 train 7.281743 (lr=4.8616e-05) (hash(x)=148937127)
|
| 44 |
+
1400 val loss 7.3240
|
| 45 |
+
1400 val perplexity 1516.2676
|
| 46 |
+
1400 train 7.429045 (lr=4.8356e-05) (hash(x)=150475545)
|
| 47 |
+
1500 val loss 7.2841
|
| 48 |
+
1500 val perplexity 1456.8834
|
| 49 |
+
1500 train 7.223948 (lr=4.8074e-05) (hash(x)=154653428)
|
| 50 |
+
1600 val loss 7.2210
|
| 51 |
+
1600 val perplexity 1367.9034
|
| 52 |
+
1600 train 7.197338 (lr=4.7772e-05) (hash(x)=144483776)
|
| 53 |
+
1700 val loss 7.1577
|
| 54 |
+
1700 val perplexity 1283.9692
|
| 55 |
+
1700 train 7.327583 (lr=4.7448e-05) (hash(x)=157395496)
|
| 56 |
+
1800 val loss 7.0988
|
| 57 |
+
1800 val perplexity 1210.5161
|
| 58 |
+
1800 train 7.118510 (lr=4.7105e-05) (hash(x)=157916369)
|
| 59 |
+
1900 val loss 7.0482
|
| 60 |
+
1900 val perplexity 1150.7883
|
| 61 |
+
1900 train 7.250220 (lr=4.6741e-05) (hash(x)=166073923)
|
| 62 |
+
2000 val loss 7.0099
|
| 63 |
+
2000 val perplexity 1107.5649
|
| 64 |
+
2000 train 7.078530 (lr=4.6357e-05) (hash(x)=154856891)
|
| 65 |
+
2100 val loss 6.9708
|
| 66 |
+
2100 val perplexity 1065.0917
|
| 67 |
+
2100 train 6.957214 (lr=4.5954e-05) (hash(x)=151925203)
|
| 68 |
+
2200 val loss 6.9150
|
| 69 |
+
2200 val perplexity 1007.2465
|
| 70 |
+
2200 train 6.623221 (lr=4.5532e-05) (hash(x)=136191502)
|
| 71 |
+
2300 val loss 6.8516
|
| 72 |
+
2300 val perplexity 945.3943
|
| 73 |
+
2300 train 6.992955 (lr=4.5091e-05) (hash(x)=153273362)
|
| 74 |
+
2400 val loss 6.8002
|
| 75 |
+
2400 val perplexity 898.0457
|
| 76 |
+
2400 train 6.748407 (lr=4.4633e-05) (hash(x)=148021541)
|
| 77 |
+
2500 val loss 6.7577
|
| 78 |
+
2500 val perplexity 860.6304
|
| 79 |
+
2500 train 6.699186 (lr=4.4156e-05) (hash(x)=141356608)
|
| 80 |
+
2600 val loss 6.7101
|
| 81 |
+
2600 val perplexity 820.6888
|
| 82 |
+
2600 train 6.662726 (lr=4.3663e-05) (hash(x)=146005217)
|
| 83 |
+
2700 val loss 6.6873
|
| 84 |
+
2700 val perplexity 802.1870
|
| 85 |
+
2700 train 6.533102 (lr=4.3153e-05) (hash(x)=144511718)
|
| 86 |
+
2800 val loss 6.6459
|
| 87 |
+
2800 val perplexity 769.6336
|
| 88 |
+
2800 train 6.522305 (lr=4.2627e-05) (hash(x)=146019502)
|
| 89 |
+
2900 val loss 6.6170
|
| 90 |
+
2900 val perplexity 747.7319
|
| 91 |
+
2900 train 6.526833 (lr=4.2085e-05) (hash(x)=146496200)
|
| 92 |
+
3000 val loss 6.5904
|
| 93 |
+
3000 val perplexity 728.0774
|
| 94 |
+
3000 train 6.532321 (lr=4.1529e-05) (hash(x)=150127281)
|
| 95 |
+
3100 val loss 6.5528
|
| 96 |
+
3100 val perplexity 701.1899
|
| 97 |
+
3100 train 6.537275 (lr=4.0957e-05) (hash(x)=142022255)
|
| 98 |
+
3200 val loss 6.5277
|
| 99 |
+
3200 val perplexity 683.8523
|
| 100 |
+
3200 train 6.587036 (lr=4.0373e-05) (hash(x)=154120875)
|
| 101 |
+
3300 val loss 6.5102
|
| 102 |
+
3300 val perplexity 671.9406
|
| 103 |
+
3300 train 6.563637 (lr=3.9775e-05) (hash(x)=153999717)
|
| 104 |
+
3400 val loss 6.4894
|
| 105 |
+
3400 val perplexity 658.1267
|
| 106 |
+
3400 train 6.270551 (lr=3.9164e-05) (hash(x)=139694097)
|
| 107 |
+
3500 val loss 6.4582
|
| 108 |
+
3500 val perplexity 637.9100
|
| 109 |
+
3500 train 6.644126 (lr=3.8541e-05) (hash(x)=162992732)
|
| 110 |
+
3600 val loss 6.4246
|
| 111 |
+
3600 val perplexity 616.8521
|
| 112 |
+
3600 train 6.398591 (lr=3.7907e-05) (hash(x)=147574101)
|
| 113 |
+
3700 val loss 6.4115
|
| 114 |
+
3700 val perplexity 608.8231
|
| 115 |
+
3700 train 6.528100 (lr=3.7262e-05) (hash(x)=157763099)
|
| 116 |
+
3800 val loss 6.3859
|
| 117 |
+
3800 val perplexity 593.4160
|
| 118 |
+
3800 train 6.540219 (lr=3.6608e-05) (hash(x)=170800034)
|
| 119 |
+
3900 val loss 6.3712
|
| 120 |
+
3900 val perplexity 584.7700
|
| 121 |
+
3900 train 6.450828 (lr=3.5944e-05) (hash(x)=164984528)
|
| 122 |
+
4000 val loss 6.3565
|
| 123 |
+
4000 val perplexity 576.2042
|
| 124 |
+
4000 train 6.230247 (lr=3.5271e-05) (hash(x)=141743323)
|
| 125 |
+
4100 val loss 6.3548
|
| 126 |
+
4100 val perplexity 575.2441
|
| 127 |
+
4100 train 6.368493 (lr=3.4590e-05) (hash(x)=153392872)
|
| 128 |
+
4200 val loss 6.3445
|
| 129 |
+
4200 val perplexity 569.3611
|
| 130 |
+
4200 train 6.203356 (lr=3.3902e-05) (hash(x)=149074933)
|
| 131 |
+
4300 val loss 6.3186
|
| 132 |
+
4300 val perplexity 554.7869
|
| 133 |
+
4300 train 6.702516 (lr=3.3207e-05) (hash(x)=167823423)
|
| 134 |
+
4400 val loss 6.2979
|
| 135 |
+
4400 val perplexity 543.4063
|
| 136 |
+
4400 train 6.061867 (lr=3.2507e-05) (hash(x)=141203114)
|
| 137 |
+
4500 val loss 6.2891
|
| 138 |
+
4500 val perplexity 538.6491
|
| 139 |
+
4500 train 6.289015 (lr=3.1801e-05) (hash(x)=146284780)
|
| 140 |
+
4600 val loss 6.2654
|
| 141 |
+
4600 val perplexity 526.0757
|
| 142 |
+
4600 train 6.073493 (lr=3.1091e-05) (hash(x)=141126464)
|
| 143 |
+
4700 val loss 6.2576
|
| 144 |
+
4700 val perplexity 521.9659
|
| 145 |
+
4700 train 6.287447 (lr=3.0377e-05) (hash(x)=154751926)
|
| 146 |
+
4800 val loss 6.2461
|
| 147 |
+
4800 val perplexity 516.0110
|
| 148 |
+
4800 train 6.331287 (lr=2.9661e-05) (hash(x)=154793198)
|
| 149 |
+
4900 val loss 6.2420
|
| 150 |
+
4900 val perplexity 513.8834
|
| 151 |
+
4900 train 5.956399 (lr=2.8942e-05) (hash(x)=139406392)
|
| 152 |
+
5000 val loss 6.2666
|
| 153 |
+
5000 val perplexity 526.6661
|
| 154 |
+
5000 train 5.975211 (lr=2.8221e-05) (hash(x)=153548741)
|
| 155 |
+
5100 val loss 6.2267
|
| 156 |
+
5100 val perplexity 506.0816
|
| 157 |
+
5100 train 6.303495 (lr=2.7500e-05) (hash(x)=160488568)
|
| 158 |
+
5200 val loss 6.2044
|
| 159 |
+
5200 val perplexity 494.9333
|
| 160 |
+
5200 train 6.213053 (lr=2.6779e-05) (hash(x)=149645053)
|
| 161 |
+
5300 val loss 6.1867
|
| 162 |
+
5300 val perplexity 486.2615
|
| 163 |
+
5300 train 6.276705 (lr=2.6058e-05) (hash(x)=155820556)
|
| 164 |
+
5400 val loss 6.1806
|
| 165 |
+
5400 val perplexity 483.2999
|
| 166 |
+
5400 train 6.128071 (lr=2.5339e-05) (hash(x)=147538134)
|
| 167 |
+
5500 val loss 6.1716
|
| 168 |
+
5500 val perplexity 478.9390
|
| 169 |
+
5500 train 6.377961 (lr=2.4623e-05) (hash(x)=166889307)
|
| 170 |
+
5600 val loss 6.1622
|
| 171 |
+
5600 val perplexity 474.4739
|
| 172 |
+
5600 train 5.880041 (lr=2.3909e-05) (hash(x)=139516699)
|
| 173 |
+
5700 val loss 6.1641
|
| 174 |
+
5700 val perplexity 475.3632
|
| 175 |
+
5700 train 5.843537 (lr=2.3199e-05) (hash(x)=140453511)
|
| 176 |
+
5800 val loss 6.1614
|
| 177 |
+
5800 val perplexity 474.1037
|
| 178 |
+
5800 train 6.102824 (lr=2.2493e-05) (hash(x)=162964847)
|
| 179 |
+
5900 val loss 6.1491
|
| 180 |
+
5900 val perplexity 468.2912
|
| 181 |
+
5900 train 6.153123 (lr=2.1793e-05) (hash(x)=150606634)
|
| 182 |
+
6000 val loss 6.1313
|
| 183 |
+
6000 val perplexity 460.0215
|
| 184 |
+
6000 train 6.210247 (lr=2.1098e-05) (hash(x)=149890857)
|
| 185 |
+
6100 val loss 6.1292
|
| 186 |
+
6100 val perplexity 459.0655
|
| 187 |
+
6100 train 6.234848 (lr=2.0410e-05) (hash(x)=173884145)
|
| 188 |
+
6200 val loss 6.1213
|
| 189 |
+
6200 val perplexity 455.4413
|
| 190 |
+
6200 train 6.167700 (lr=1.9729e-05) (hash(x)=151987098)
|
| 191 |
+
6300 val loss 6.1115
|
| 192 |
+
6300 val perplexity 451.0340
|
| 193 |
+
6300 train 6.057473 (lr=1.9056e-05) (hash(x)=148853562)
|
| 194 |
+
6400 val loss 6.1064
|
| 195 |
+
6400 val perplexity 448.7010
|
| 196 |
+
6400 train 5.853988 (lr=1.8392e-05) (hash(x)=141530101)
|
| 197 |
+
6500 val loss 6.1060
|
| 198 |
+
6500 val perplexity 448.5262
|
| 199 |
+
6500 train 5.964704 (lr=1.7738e-05) (hash(x)=142297809)
|
| 200 |
+
6600 val loss 6.0976
|
| 201 |
+
6600 val perplexity 444.7705
|
| 202 |
+
6600 train 5.990374 (lr=1.7093e-05) (hash(x)=142447782)
|
| 203 |
+
6700 val loss 6.0943
|
| 204 |
+
6700 val perplexity 443.3159
|
| 205 |
+
6700 train 6.063104 (lr=1.6459e-05) (hash(x)=147004686)
|
| 206 |
+
6800 val loss 6.0880
|
| 207 |
+
6800 val perplexity 440.5413
|
| 208 |
+
6800 train 5.831447 (lr=1.5836e-05) (hash(x)=133438702)
|
| 209 |
+
6900 val loss 6.0855
|
| 210 |
+
6900 val perplexity 439.4597
|
| 211 |
+
6900 train 6.103887 (lr=1.5225e-05) (hash(x)=157085143)
|
| 212 |
+
7000 val loss 6.0821
|
| 213 |
+
7000 val perplexity 437.9416
|
| 214 |
+
7000 train 5.957407 (lr=1.4627e-05) (hash(x)=139437666)
|
| 215 |
+
7100 val loss 6.0744
|
| 216 |
+
7100 val perplexity 434.5800
|
| 217 |
+
7100 train 6.096306 (lr=1.4043e-05) (hash(x)=159792986)
|
| 218 |
+
7200 val loss 6.0653
|
| 219 |
+
7200 val perplexity 430.6621
|
| 220 |
+
7200 train 6.041170 (lr=1.3471e-05) (hash(x)=144930687)
|
| 221 |
+
7300 val loss 6.0612
|
| 222 |
+
7300 val perplexity 428.8893
|
| 223 |
+
7300 train 6.113462 (lr=1.2915e-05) (hash(x)=156242690)
|
| 224 |
+
7400 val loss 6.0626
|
| 225 |
+
7400 val perplexity 429.4924
|
| 226 |
+
7400 train 5.896077 (lr=1.2373e-05) (hash(x)=148183719)
|
| 227 |
+
7500 val loss 6.0577
|
| 228 |
+
7500 val perplexity 427.3765
|
| 229 |
+
7500 train 6.091302 (lr=1.1847e-05) (hash(x)=152494758)
|
| 230 |
+
7600 val loss 6.0547
|
| 231 |
+
7600 val perplexity 426.1260
|
| 232 |
+
7600 train 5.754051 (lr=1.1337e-05) (hash(x)=142485027)
|
| 233 |
+
7700 val loss 6.0560
|
| 234 |
+
7700 val perplexity 426.6740
|
| 235 |
+
7700 train 5.928751 (lr=1.0844e-05) (hash(x)=147512165)
|
| 236 |
+
7800 val loss 6.0404
|
| 237 |
+
7800 val perplexity 420.0570
|
| 238 |
+
7800 train 5.927812 (lr=1.0367e-05) (hash(x)=160346994)
|
| 239 |
+
7900 val loss 6.0410
|
| 240 |
+
7900 val perplexity 420.3325
|
| 241 |
+
7900 train 5.907988 (lr=9.9088e-06) (hash(x)=144488254)
|
| 242 |
+
8000 val loss 6.0358
|
| 243 |
+
8000 val perplexity 418.1136
|
| 244 |
+
8000 train 5.854425 (lr=9.4682e-06) (hash(x)=147637019)
|
| 245 |
+
8100 val loss 6.0361
|
| 246 |
+
8100 val perplexity 418.2736
|
| 247 |
+
8100 train 5.901888 (lr=9.0461e-06) (hash(x)=147340534)
|
| 248 |
+
8200 val loss 6.0326
|
| 249 |
+
8200 val perplexity 416.7949
|
| 250 |
+
8200 train 6.087666 (lr=8.6430e-06) (hash(x)=151630665)
|
| 251 |
+
8300 val loss 6.0267
|
| 252 |
+
8300 val perplexity 414.3367
|
| 253 |
+
8300 train 6.126692 (lr=8.2593e-06) (hash(x)=149747064)
|
| 254 |
+
8400 val loss 6.0232
|
| 255 |
+
8400 val perplexity 412.8936
|
| 256 |
+
8400 train 6.212832 (lr=7.8953e-06) (hash(x)=154245770)
|
| 257 |
+
8500 val loss 6.0230
|
| 258 |
+
8500 val perplexity 412.8336
|
| 259 |
+
8500 train 5.904833 (lr=7.5515e-06) (hash(x)=152559100)
|
| 260 |
+
8600 val loss 6.0187
|
| 261 |
+
8600 val perplexity 411.0398
|
| 262 |
+
8600 train 6.535484 (lr=7.2282e-06) (hash(x)=181365926)
|
| 263 |
+
8700 val loss 6.0188
|
| 264 |
+
8700 val perplexity 411.0829
|
| 265 |
+
8700 train 5.863358 (lr=6.9257e-06) (hash(x)=154405991)
|
| 266 |
+
8800 val loss 6.0153
|
| 267 |
+
8800 val perplexity 409.6678
|
| 268 |
+
8800 train 5.970211 (lr=6.6444e-06) (hash(x)=153755904)
|
| 269 |
+
8900 val loss 6.0107
|
| 270 |
+
8900 val perplexity 407.7833
|
| 271 |
+
8900 train 5.926088 (lr=6.3845e-06) (hash(x)=152120568)
|
| 272 |
+
9000 val loss 6.0077
|
| 273 |
+
9000 val perplexity 406.5505
|
| 274 |
+
9000 train 5.799891 (lr=6.1462e-06) (hash(x)=142797279)
|
| 275 |
+
9100 val loss 6.0051
|
| 276 |
+
9100 val perplexity 405.5031
|
| 277 |
+
9100 train 5.871176 (lr=5.9300e-06) (hash(x)=143037503)
|
| 278 |
+
9200 val loss 6.0051
|
| 279 |
+
9200 val perplexity 405.4734
|
| 280 |
+
9200 train 5.892231 (lr=5.7359e-06) (hash(x)=113690273)
|
| 281 |
+
9300 val loss 6.0039
|
| 282 |
+
9300 val perplexity 405.0020
|
| 283 |
+
9300 train 5.939885 (lr=5.5641e-06) (hash(x)=158025077)
|
| 284 |
+
9400 val loss 6.0019
|
| 285 |
+
9400 val perplexity 404.1820
|
| 286 |
+
9400 train 6.068281 (lr=5.4149e-06) (hash(x)=158251718)
|
| 287 |
+
9500 val loss 5.9988
|
| 288 |
+
9500 val perplexity 402.9359
|
| 289 |
+
9500 train 6.039095 (lr=5.2884e-06) (hash(x)=154752610)
|
| 290 |
+
9600 val loss 5.9971
|
| 291 |
+
9600 val perplexity 402.2651
|
| 292 |
+
9600 train 5.874845 (lr=5.1847e-06) (hash(x)=146889093)
|
| 293 |
+
9700 val loss 5.9940
|
| 294 |
+
9700 val perplexity 401.0011
|
| 295 |
+
9700 train 6.001687 (lr=5.1040e-06) (hash(x)=156906516)
|
| 296 |
+
9800 val loss 5.9932
|
| 297 |
+
9800 val perplexity 400.7096
|
| 298 |
+
9800 train 5.831883 (lr=5.0462e-06) (hash(x)=153841927)
|
| 299 |
+
9900 val loss 5.9949
|
| 300 |
+
9900 val perplexity 401.3906
|
| 301 |
+
9900 train 6.192818 (lr=5.0116e-06) (hash(x)=163514334)
|
| 302 |
+
9999 val loss 5.9891
|
| 303 |
+
9999 val perplexity 399.0517
|
attention_kindselective_n_heads2_seed1340/model_02500.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 38587970
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5aeb7b7022a7ef095259330e13212b1ff8ec10d9fe91f9cfe5321726439400e
|
| 3 |
size 38587970
|
attention_kindselective_n_heads2_seed1340/model_05000.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 38587970
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad1dcff0aef7e71a44d4bafe3d6fa2064b4970bceaa1db35e56cacedd4bce39b
|
| 3 |
size 38587970
|
attention_kindselective_n_heads2_seed1340/model_07500.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 38587970
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df381c5d857ee4e2185137efa7971ff6ecca01a7071f0e3523bebefff488b94d
|
| 3 |
size 38587970
|
attention_kindselective_n_heads2_seed1340/model_09999.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 38587970
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3260dd2ac1f7c16a62ed6d3c8b157a3f0a33efe14c610d63fec80ece19e6295c
|
| 3 |
size 38587970
|
attention_kindselective_n_heads2_seed1340/optimizer_02500.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 70895430
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f494e8b5205e169278e98dc46247c57b4eecddb1d447131b03a3e8d70073d9e
|
| 3 |
size 70895430
|
attention_kindselective_n_heads2_seed1340/optimizer_05000.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 70895430
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7f3fc56d8050fdf69a5ced1176d19cd3d7141742bed03ead99504850e90b4be
|
| 3 |
size 70895430
|
attention_kindselective_n_heads2_seed1340/optimizer_07500.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 70895430
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c05973832a45530c4593bc265a28c7ae61596a93a88b25f70012a7d34e37954
|
| 3 |
size 70895430
|
attention_kindselective_n_heads2_seed1340/optimizer_09999.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 70895430
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2084254e2cd8f9f5a63850ea73b259adc84ee7fc54797ca79e71efee5351e261
|
| 3 |
size 70895430
|