andrew-healey commited on
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12_mini_head_two_masks_4_heads/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_mini_head_two_masks_4_heads", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 264, "head_dim": 22, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1341, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "two_masks", "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": 64, "total_batch_size": 131072, "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": 0.003, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "12_mini_head_two_masks_4_heads"}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_mini_head_two_masks_4_heads", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 264, "head_dim": 22, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "two_masks", "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": 64, "total_batch_size": 131072, "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": 0.003, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "12_mini_head_two_masks_4_heads"}
12_mini_head_two_masks_4_heads/log2.txt CHANGED
@@ -1,529 +1,529 @@
1
  max_steps: 4375
2
- 0 val loss 11.2828
3
- 0 val perplexity 79446.0234
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- 0 train 11.286331 (lr=4.1958e-06) (hash(x)=83426457)
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- 10 train 9.906208 (lr=4.6154e-05) (hash(x)=78934557)
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- 30 train 8.592892 (lr=1.3007e-04) (hash(x)=71598963)
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- 90 train 7.206971 (lr=3.8182e-04) (hash(x)=83854524)
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- 100 val loss 7.0813
15
- 100 val perplexity 1189.5540
16
- 100 train 6.997993 (lr=4.2378e-04) (hash(x)=77188949)
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- 110 train 6.925124 (lr=4.6573e-04) (hash(x)=72138399)
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- 120 train 6.788277 (lr=5.0769e-04) (hash(x)=80173123)
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- 200 val loss 6.2148
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- 200 val perplexity 500.1002
28
- 200 train 6.350214 (lr=8.4336e-04) (hash(x)=78560782)
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- 210 train 6.190270 (lr=8.8531e-04) (hash(x)=83733723)
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- 220 train 6.033686 (lr=9.2727e-04) (hash(x)=79271902)
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- 290 train 5.616792 (lr=1.2210e-03) (hash(x)=81160339)
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- 300 val loss 5.7095
39
- 300 val perplexity 301.7280
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- 300 train 5.692072 (lr=1.2629e-03) (hash(x)=75259104)
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- 310 train 5.566352 (lr=1.3049e-03) (hash(x)=84448689)
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- 390 train 5.491229 (lr=1.6406e-03) (hash(x)=73606747)
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- 400 val loss 5.4037
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- 400 val perplexity 222.2381
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- 410 train 5.462108 (lr=1.7245e-03) (hash(x)=77829445)
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- 490 train 5.129216 (lr=2.0601e-03) (hash(x)=77806270)
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- 500 val loss 5.1758
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- 500 val perplexity 176.9294
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- 500 train 5.161263 (lr=2.1021e-03) (hash(x)=79154473)
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- 510 train 5.218800 (lr=2.1441e-03) (hash(x)=82252738)
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- 600 val loss 4.9977
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- 600 val perplexity 148.0761
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- 700 val loss 4.8200
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- 700 val perplexity 123.9599
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- 700 train 4.686471 (lr=2.9413e-03) (hash(x)=80680202)
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- 710 train 4.779562 (lr=2.9832e-03) (hash(x)=81685619)
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- 790 train 4.687624 (lr=2.9972e-03) (hash(x)=73364444)
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- 800 val loss 4.7007
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- 800 val perplexity 110.0204
100
- 800 train 4.698443 (lr=2.9964e-03) (hash(x)=78801867)
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- 890 train 4.571060 (lr=2.9848e-03) (hash(x)=78473759)
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- 900 val loss 4.6562
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- 900 val perplexity 105.2381
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- 900 train 4.551015 (lr=2.9830e-03) (hash(x)=76625599)
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- 910 train 4.633257 (lr=2.9811e-03) (hash(x)=82707605)
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- 990 train 4.559372 (lr=2.9626e-03) (hash(x)=73508305)
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- 1000 val loss 4.5499
123
- 1000 val perplexity 94.6207
124
- 1000 train 4.558197 (lr=2.9598e-03) (hash(x)=73551731)
125
- 1010 train 4.397978 (lr=2.9570e-03) (hash(x)=75472577)
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- 1080 train 4.323700 (lr=2.9343e-03) (hash(x)=80067829)
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- 1090 train 4.321742 (lr=2.9307e-03) (hash(x)=75084510)
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- 1100 val loss 4.4956
135
- 1100 val perplexity 89.6248
136
- 1100 train 4.484448 (lr=2.9270e-03) (hash(x)=81272082)
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- 1110 train 4.477275 (lr=2.9231e-03) (hash(x)=79636180)
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- 1140 train 4.472306 (lr=2.9112e-03) (hash(x)=74242006)
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- 1150 train 4.511582 (lr=2.9070e-03) (hash(x)=77502116)
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- 1160 train 4.459952 (lr=2.9027e-03) (hash(x)=78658526)
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- 1170 train 4.474169 (lr=2.8983e-03) (hash(x)=88605653)
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- 1180 train 4.404093 (lr=2.8939e-03) (hash(x)=75715872)
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- 1190 train 4.365394 (lr=2.8893e-03) (hash(x)=85140216)
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- 1200 val loss 4.4185
147
- 1200 val perplexity 82.9703
148
- 1200 train 4.413062 (lr=2.8847e-03) (hash(x)=76843977)
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- 1210 train 4.409280 (lr=2.8800e-03) (hash(x)=74668022)
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- 1300 val loss 4.3912
159
- 1300 val perplexity 80.7406
160
- 1300 train 4.522745 (lr=2.8333e-03) (hash(x)=91333241)
161
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169
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170
- 1400 val loss 4.3670
171
- 1400 val perplexity 78.8098
172
- 1400 train 4.270935 (lr=2.7733e-03) (hash(x)=85316269)
173
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- 1500 val loss 4.3241
183
- 1500 val perplexity 75.4987
184
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185
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193
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- 1600 val loss 4.3060
195
- 1600 val perplexity 74.1396
196
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197
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205
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206
- 1700 val loss 4.2627
207
- 1700 val perplexity 71.0018
208
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209
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- 1790 train 4.293472 (lr=2.4649e-03) (hash(x)=82486297)
218
- 1800 val loss 4.2564
219
- 1800 val perplexity 70.5522
220
- 1800 train 4.253897 (lr=2.4556e-03) (hash(x)=79159575)
221
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230
- 1900 val loss 4.2355
231
- 1900 val perplexity 69.0968
232
- 1900 train 4.275647 (lr=2.3598e-03) (hash(x)=86194345)
233
- 1910 train 4.200642 (lr=2.3499e-03) (hash(x)=80865794)
234
- 1920 train 4.165070 (lr=2.3400e-03) (hash(x)=79368476)
235
- 1930 train 4.172744 (lr=2.3300e-03) (hash(x)=79247868)
236
- 1940 train 4.120127 (lr=2.3200e-03) (hash(x)=72845520)
237
- 1950 train 4.140367 (lr=2.3099e-03) (hash(x)=83254637)
238
- 1960 train 4.086664 (lr=2.2998e-03) (hash(x)=81975531)
239
- 1970 train 4.173362 (lr=2.2896e-03) (hash(x)=72939168)
240
- 1980 train 4.077135 (lr=2.2793e-03) (hash(x)=82280940)
241
- 1990 train 4.050721 (lr=2.2691e-03) (hash(x)=78119475)
242
- 2000 val loss 4.2136
243
- 2000 val perplexity 67.5986
244
- 2000 train 4.087288 (lr=2.2588e-03) (hash(x)=83046712)
245
- 2010 train 4.146014 (lr=2.2484e-03) (hash(x)=73468195)
246
- 2020 train 4.087158 (lr=2.2380e-03) (hash(x)=74809817)
247
- 2030 train 4.076430 (lr=2.2275e-03) (hash(x)=76037020)
248
- 2040 train 4.298106 (lr=2.2170e-03) (hash(x)=79058361)
249
- 2050 train 4.187833 (lr=2.2065e-03) (hash(x)=85014027)
250
- 2060 train 4.161737 (lr=2.1959e-03) (hash(x)=78616227)
251
- 2070 train 4.140214 (lr=2.1853e-03) (hash(x)=75928855)
252
- 2080 train 4.237118 (lr=2.1746e-03) (hash(x)=87553274)
253
- 2090 train 4.142758 (lr=2.1639e-03) (hash(x)=79805596)
254
- 2100 val loss 4.1945
255
- 2100 val perplexity 66.3176
256
- 2100 train 4.011424 (lr=2.1532e-03) (hash(x)=71523881)
257
- 2110 train 4.156861 (lr=2.1424e-03) (hash(x)=78431736)
258
- 2120 train 4.056497 (lr=2.1316e-03) (hash(x)=76846294)
259
- 2130 train 4.080083 (lr=2.1208e-03) (hash(x)=72808367)
260
- 2140 train 3.896003 (lr=2.1099e-03) (hash(x)=71871519)
261
- 2150 train 4.026684 (lr=2.0990e-03) (hash(x)=79598530)
262
- 2160 train 4.086583 (lr=2.0881e-03) (hash(x)=81709468)
263
- 2170 train 4.058995 (lr=2.0771e-03) (hash(x)=74075345)
264
- 2180 train 4.214379 (lr=2.0661e-03) (hash(x)=79292886)
265
- 2190 train 4.144413 (lr=2.0550e-03) (hash(x)=84316039)
266
- 2200 val loss 4.1830
267
- 2200 val perplexity 65.5629
268
- 2200 train 4.222255 (lr=2.0440e-03) (hash(x)=84083188)
269
- 2210 train 4.140667 (lr=2.0329e-03) (hash(x)=87482474)
270
- 2220 train 4.254497 (lr=2.0217e-03) (hash(x)=73018507)
271
- 2230 train 4.124879 (lr=2.0106e-03) (hash(x)=80194063)
272
- 2240 train 4.029892 (lr=1.9994e-03) (hash(x)=70761174)
273
- 2250 train 4.088642 (lr=1.9882e-03) (hash(x)=78296069)
274
- 2260 train 4.058685 (lr=1.9770e-03) (hash(x)=71486863)
275
- 2270 train 4.065935 (lr=1.9657e-03) (hash(x)=73106274)
276
- 2280 train 4.023127 (lr=1.9544e-03) (hash(x)=65724504)
277
- 2290 train 4.141122 (lr=1.9431e-03) (hash(x)=77464207)
278
- 2300 val loss 4.1786
279
- 2300 val perplexity 65.2746
280
- 2300 train 4.287225 (lr=1.9318e-03) (hash(x)=79718531)
281
- 2310 train 4.151774 (lr=1.9205e-03) (hash(x)=79578564)
282
- 2320 train 4.075782 (lr=1.9091e-03) (hash(x)=77538251)
283
- 2330 train 4.189883 (lr=1.8977e-03) (hash(x)=77684942)
284
- 2340 train 4.153886 (lr=1.8863e-03) (hash(x)=74747888)
285
- 2350 train 4.100947 (lr=1.8749e-03) (hash(x)=88812932)
286
- 2360 train 4.080767 (lr=1.8635e-03) (hash(x)=77049145)
287
- 2370 train 3.920271 (lr=1.8520e-03) (hash(x)=76636845)
288
- 2380 train 3.990987 (lr=1.8406e-03) (hash(x)=79589860)
289
- 2390 train 4.023909 (lr=1.8291e-03) (hash(x)=73694984)
290
- 2400 val loss 4.1424
291
- 2400 val perplexity 62.9564
292
- 2400 train 4.074643 (lr=1.8176e-03) (hash(x)=76483417)
293
- 2410 train 4.068033 (lr=1.8061e-03) (hash(x)=81534661)
294
- 2420 train 4.163315 (lr=1.7946e-03) (hash(x)=90012063)
295
- 2430 train 4.095062 (lr=1.7830e-03) (hash(x)=78359537)
296
- 2440 train 4.190225 (lr=1.7715e-03) (hash(x)=79027074)
297
- 2450 train 4.186569 (lr=1.7600e-03) (hash(x)=68888678)
298
- 2460 train 4.059834 (lr=1.7484e-03) (hash(x)=78596234)
299
- 2470 train 4.018798 (lr=1.7368e-03) (hash(x)=78240870)
300
- 2480 train 4.095221 (lr=1.7253e-03) (hash(x)=78765106)
301
- 2490 train 4.114528 (lr=1.7137e-03) (hash(x)=80888122)
302
- 2500 val loss 4.1257
303
- 2500 val perplexity 61.9136
304
- 2500 train 3.859569 (lr=1.7021e-03) (hash(x)=77282980)
305
- 2510 train 3.980441 (lr=1.6906e-03) (hash(x)=73932499)
306
- 2520 train 3.885580 (lr=1.6790e-03) (hash(x)=78258721)
307
- 2530 train 4.055018 (lr=1.6674e-03) (hash(x)=84237884)
308
- 2540 train 3.966310 (lr=1.6558e-03) (hash(x)=82107056)
309
- 2550 train 4.297820 (lr=1.6442e-03) (hash(x)=77739889)
310
- 2560 train 4.292686 (lr=1.6326e-03) (hash(x)=74186552)
311
- 2570 train 4.121394 (lr=1.6210e-03) (hash(x)=80473388)
312
- 2580 train 4.042549 (lr=1.6094e-03) (hash(x)=82259419)
313
- 2590 train 4.120201 (lr=1.5979e-03) (hash(x)=78413433)
314
- 2600 val loss 4.1073
315
- 2600 val perplexity 60.7802
316
- 2600 train 4.028818 (lr=1.5863e-03) (hash(x)=74502607)
317
- 2610 train 4.034249 (lr=1.5747e-03) (hash(x)=76291308)
318
- 2620 train 3.995912 (lr=1.5632e-03) (hash(x)=89544859)
319
- 2630 train 3.997247 (lr=1.5516e-03) (hash(x)=72230079)
320
- 2640 train 4.018834 (lr=1.5400e-03) (hash(x)=80712391)
321
- 2650 train 3.970821 (lr=1.5285e-03) (hash(x)=81110141)
322
- 2660 train 4.048407 (lr=1.5170e-03) (hash(x)=73706547)
323
- 2670 train 3.960949 (lr=1.5054e-03) (hash(x)=75978602)
324
- 2680 train 4.038310 (lr=1.4939e-03) (hash(x)=77181602)
325
- 2690 train 3.952512 (lr=1.4824e-03) (hash(x)=73503073)
326
- 2700 val loss 4.0985
327
- 2700 val perplexity 60.2506
328
- 2700 train 4.002494 (lr=1.4709e-03) (hash(x)=76450620)
329
- 2710 train 4.091777 (lr=1.4594e-03) (hash(x)=82384092)
330
- 2720 train 4.085136 (lr=1.4480e-03) (hash(x)=78992460)
331
- 2730 train 4.084784 (lr=1.4365e-03) (hash(x)=89640628)
332
- 2740 train 4.055937 (lr=1.4251e-03) (hash(x)=78958333)
333
- 2750 train 4.087621 (lr=1.4137e-03) (hash(x)=75231323)
334
- 2760 train 4.041368 (lr=1.4023e-03) (hash(x)=80141789)
335
- 2770 train 3.959982 (lr=1.3909e-03) (hash(x)=78041972)
336
- 2780 train 4.080272 (lr=1.3795e-03) (hash(x)=78824636)
337
- 2790 train 3.901150 (lr=1.3682e-03) (hash(x)=88495681)
338
- 2800 val loss 4.0804
339
- 2800 val perplexity 59.1716
340
- 2800 train 3.956493 (lr=1.3569e-03) (hash(x)=70894085)
341
- 2810 train 3.895991 (lr=1.3456e-03) (hash(x)=80942795)
342
- 2820 train 3.906981 (lr=1.3343e-03) (hash(x)=80086512)
343
- 2830 train 3.883872 (lr=1.3230e-03) (hash(x)=76162076)
344
- 2840 train 4.031344 (lr=1.3118e-03) (hash(x)=92909437)
345
- 2850 train 4.167970 (lr=1.3006e-03) (hash(x)=82192377)
346
- 2860 train 3.991079 (lr=1.2894e-03) (hash(x)=79981204)
347
- 2870 train 4.062534 (lr=1.2783e-03) (hash(x)=86642658)
348
- 2880 train 4.005857 (lr=1.2671e-03) (hash(x)=73934349)
349
- 2890 train 4.109758 (lr=1.2560e-03) (hash(x)=81104933)
350
- 2900 val loss 4.0621
351
- 2900 val perplexity 58.0985
352
- 2900 train 3.988972 (lr=1.2450e-03) (hash(x)=83259335)
353
- 2910 train 4.023648 (lr=1.2339e-03) (hash(x)=76528489)
354
- 2920 train 4.017714 (lr=1.2229e-03) (hash(x)=82547590)
355
- 2930 train 3.862637 (lr=1.2119e-03) (hash(x)=84692438)
356
- 2940 train 3.886798 (lr=1.2010e-03) (hash(x)=76395062)
357
- 2950 train 3.891234 (lr=1.1901e-03) (hash(x)=79351043)
358
- 2960 train 3.963682 (lr=1.1792e-03) (hash(x)=75184745)
359
- 2970 train 3.903659 (lr=1.1684e-03) (hash(x)=73888960)
360
- 2980 train 4.102394 (lr=1.1576e-03) (hash(x)=80237171)
361
- 2990 train 4.056189 (lr=1.1468e-03) (hash(x)=80090496)
362
- 3000 val loss 4.0599
363
- 3000 val perplexity 57.9686
364
- 3000 train 4.100723 (lr=1.1361e-03) (hash(x)=99715255)
365
- 3010 train 4.056059 (lr=1.1254e-03) (hash(x)=73302575)
366
- 3020 train 3.956450 (lr=1.1147e-03) (hash(x)=81162327)
367
- 3030 train 3.999872 (lr=1.1041e-03) (hash(x)=78686601)
368
- 3040 train 4.017196 (lr=1.0935e-03) (hash(x)=76186508)
369
- 3050 train 4.144871 (lr=1.0830e-03) (hash(x)=94420278)
370
- 3060 train 4.029797 (lr=1.0725e-03) (hash(x)=73930563)
371
- 3070 train 4.062143 (lr=1.0620e-03) (hash(x)=78074700)
372
- 3080 train 3.915427 (lr=1.0516e-03) (hash(x)=85521020)
373
- 3090 train 3.967668 (lr=1.0412e-03) (hash(x)=77429090)
374
- 3100 val loss 4.0346
375
- 3100 val perplexity 56.5220
376
- 3100 train 3.946910 (lr=1.0309e-03) (hash(x)=74319016)
377
- 3110 train 3.950850 (lr=1.0207e-03) (hash(x)=81856930)
378
- 3120 train 3.966238 (lr=1.0104e-03) (hash(x)=78854668)
379
- 3130 train 3.803520 (lr=1.0002e-03) (hash(x)=78558831)
380
- 3140 train 3.757164 (lr=9.9011e-04) (hash(x)=75419854)
381
- 3150 train 3.744627 (lr=9.8002e-04) (hash(x)=72645078)
382
- 3160 train 3.924897 (lr=9.6999e-04) (hash(x)=71954229)
383
- 3170 train 3.853053 (lr=9.6000e-04) (hash(x)=83944062)
384
- 3180 train 4.139953 (lr=9.5007e-04) (hash(x)=81719676)
385
- 3190 train 4.123998 (lr=9.4019e-04) (hash(x)=78117157)
386
- 3200 val loss 4.0186
387
- 3200 val perplexity 55.6221
388
- 3200 train 4.099495 (lr=9.3036e-04) (hash(x)=95062223)
389
- 3210 train 3.990359 (lr=9.2058e-04) (hash(x)=78243969)
390
- 3220 train 3.990211 (lr=9.1085e-04) (hash(x)=80840117)
391
- 3230 train 4.070368 (lr=9.0118e-04) (hash(x)=89040111)
392
- 3240 train 3.931151 (lr=8.9157e-04) (hash(x)=78018689)
393
- 3250 train 4.017251 (lr=8.8201e-04) (hash(x)=71514679)
394
- 3260 train 3.950819 (lr=8.7251e-04) (hash(x)=72142220)
395
- 3270 train 3.898019 (lr=8.6307e-04) (hash(x)=81981079)
396
- 3280 train 4.039700 (lr=8.5368e-04) (hash(x)=81221688)
397
- 3290 train 3.924311 (lr=8.4435e-04) (hash(x)=84425616)
398
- 3300 val loss 4.0029
399
- 3300 val perplexity 54.7549
400
- 3300 train 3.938393 (lr=8.3508e-04) (hash(x)=85200306)
401
- 3310 train 3.920418 (lr=8.2588e-04) (hash(x)=90538542)
402
- 3320 train 3.787085 (lr=8.1673e-04) (hash(x)=75045669)
403
- 3330 train 3.688650 (lr=8.0764e-04) (hash(x)=91874178)
404
- 3340 train 3.712383 (lr=7.9862e-04) (hash(x)=93115709)
405
- 3350 train 3.739361 (lr=7.8966e-04) (hash(x)=80614131)
406
- 3360 train 3.770380 (lr=7.8076e-04) (hash(x)=75966518)
407
- 3370 train 3.928471 (lr=7.7192e-04) (hash(x)=52504673)
408
- 3380 train 3.976027 (lr=7.6315e-04) (hash(x)=89845158)
409
- 3390 train 4.535682 (lr=7.5445e-04) (hash(x)=84328133)
410
- 3400 val loss 3.9968
411
- 3400 val perplexity 54.4249
412
- 3400 train 4.045430 (lr=7.4581e-04) (hash(x)=84410966)
413
- 3410 train 3.988138 (lr=7.3724e-04) (hash(x)=81040312)
414
- 3420 train 4.111779 (lr=7.2874e-04) (hash(x)=80573120)
415
- 3430 train 3.892544 (lr=7.2030e-04) (hash(x)=77676972)
416
- 3440 train 3.957338 (lr=7.1193e-04) (hash(x)=86131899)
417
- 3450 train 3.975358 (lr=7.0363e-04) (hash(x)=75051359)
418
- 3460 train 3.909394 (lr=6.9541e-04) (hash(x)=78319212)
419
- 3470 train 3.961527 (lr=6.8725e-04) (hash(x)=75514502)
420
- 3480 train 3.827725 (lr=6.7916e-04) (hash(x)=84577433)
421
- 3490 train 3.995015 (lr=6.7114e-04) (hash(x)=76740859)
422
- 3500 val loss 3.9811
423
- 3500 val perplexity 53.5775
424
- 3500 train 3.955020 (lr=6.6320e-04) (hash(x)=85221122)
425
- 3510 train 3.882984 (lr=6.5533e-04) (hash(x)=78373676)
426
- 3520 train 3.773505 (lr=6.4753e-04) (hash(x)=76713204)
427
- 3530 train 3.673000 (lr=6.3981e-04) (hash(x)=86885732)
428
- 3540 train 3.804622 (lr=6.3216e-04) (hash(x)=80751876)
429
- 3550 train 3.771646 (lr=6.2458e-04) (hash(x)=80092170)
430
- 3560 train 3.949727 (lr=6.1708e-04) (hash(x)=85501243)
431
- 3570 train 4.046741 (lr=6.0966e-04) (hash(x)=87853218)
432
- 3580 train 3.991044 (lr=6.0231e-04) (hash(x)=88313614)
433
- 3590 train 3.921559 (lr=5.9504e-04) (hash(x)=75521063)
434
- 3600 val loss 3.9756
435
- 3600 val perplexity 53.2838
436
- 3600 train 3.989742 (lr=5.8785e-04) (hash(x)=83721651)
437
- 3610 train 3.878727 (lr=5.8074e-04) (hash(x)=94293884)
438
- 3620 train 3.934310 (lr=5.7370e-04) (hash(x)=77296763)
439
- 3630 train 4.064809 (lr=5.6675e-04) (hash(x)=77338405)
440
- 3640 train 3.911325 (lr=5.5987e-04) (hash(x)=81223547)
441
- 3650 train 3.951725 (lr=5.5308e-04) (hash(x)=78952410)
442
- 3660 train 3.796055 (lr=5.4636e-04) (hash(x)=79846386)
443
- 3670 train 3.956671 (lr=5.3973e-04) (hash(x)=80481480)
444
- 3680 train 3.855377 (lr=5.3318e-04) (hash(x)=83821130)
445
- 3690 train 3.785290 (lr=5.2671e-04) (hash(x)=85303368)
446
- 3700 val loss 3.9603
447
- 3700 val perplexity 52.4743
448
- 3700 train 3.828219 (lr=5.2033e-04) (hash(x)=70393870)
449
- 3710 train 3.809762 (lr=5.1402e-04) (hash(x)=81014823)
450
- 3720 train 3.822173 (lr=5.0780e-04) (hash(x)=79155367)
451
- 3730 train 3.800327 (lr=5.0167e-04) (hash(x)=86979929)
452
- 3740 train 3.756806 (lr=4.9562e-04) (hash(x)=88193263)
453
- 3750 train 4.065956 (lr=4.8965e-04) (hash(x)=89853653)
454
- 3760 train 3.974889 (lr=4.8377e-04) (hash(x)=77692484)
455
- 3770 train 4.048394 (lr=4.7798e-04) (hash(x)=83300185)
456
- 3780 train 3.964279 (lr=4.7227e-04) (hash(x)=82443218)
457
- 3790 train 3.814682 (lr=4.6665e-04) (hash(x)=90032898)
458
- 3800 val loss 3.9469
459
- 3800 val perplexity 51.7726
460
- 3800 train 3.927063 (lr=4.6112e-04) (hash(x)=77605593)
461
- 3810 train 3.986592 (lr=4.5567e-04) (hash(x)=82532796)
462
- 3820 train 3.939422 (lr=4.5031e-04) (hash(x)=89648204)
463
- 3830 train 4.022681 (lr=4.4504e-04) (hash(x)=83708293)
464
- 3840 train 3.964045 (lr=4.3986e-04) (hash(x)=84336512)
465
- 3850 train 3.925911 (lr=4.3477e-04) (hash(x)=75025285)
466
- 3860 train 3.806261 (lr=4.2977e-04) (hash(x)=79436536)
467
- 3870 train 3.852533 (lr=4.2486e-04) (hash(x)=90467390)
468
- 3880 train 3.932883 (lr=4.2004e-04) (hash(x)=77292020)
469
- 3890 train 3.822489 (lr=4.1530e-04) (hash(x)=75568927)
470
- 3900 val loss 3.9461
471
- 3900 val perplexity 51.7347
472
- 3900 train 3.871303 (lr=4.1066e-04) (hash(x)=79671781)
473
- 3910 train 3.934132 (lr=4.0611e-04) (hash(x)=84280943)
474
- 3920 train 3.957806 (lr=4.0166e-04) (hash(x)=80901294)
475
- 3930 train 4.035690 (lr=3.9729e-04) (hash(x)=81437584)
476
- 3940 train 3.934170 (lr=3.9302e-04) (hash(x)=73893778)
477
- 3950 train 3.877768 (lr=3.8884e-04) (hash(x)=74987794)
478
- 3960 train 3.925899 (lr=3.8475e-04) (hash(x)=93721374)
479
- 3970 train 3.936910 (lr=3.8076e-04) (hash(x)=79149678)
480
- 3980 train 3.890261 (lr=3.7685e-04) (hash(x)=83179387)
481
- 3990 train 3.914925 (lr=3.7305e-04) (hash(x)=89009978)
482
- 4000 val loss 3.9333
483
- 4000 val perplexity 51.0731
484
- 4000 train 3.929021 (lr=3.6933e-04) (hash(x)=76483735)
485
- 4010 train 3.816128 (lr=3.6572e-04) (hash(x)=78638850)
486
- 4020 train 3.886682 (lr=3.6219e-04) (hash(x)=90415206)
487
- 4030 train 3.836416 (lr=3.5876e-04) (hash(x)=90819195)
488
- 4040 train 3.955806 (lr=3.5543e-04) (hash(x)=85938852)
489
- 4050 train 3.981931 (lr=3.5219e-04) (hash(x)=82436789)
490
- 4060 train 4.127342 (lr=3.4905e-04) (hash(x)=63022149)
491
- 4070 train 3.959313 (lr=3.4600e-04) (hash(x)=83501199)
492
- 4080 train 3.955446 (lr=3.4305e-04) (hash(x)=77093326)
493
- 4090 train 3.829535 (lr=3.4019e-04) (hash(x)=73437559)
494
- 4100 val loss 3.9248
495
- 4100 val perplexity 50.6411
496
- 4100 train 3.932780 (lr=3.3744e-04) (hash(x)=84550388)
497
- 4110 train 3.951888 (lr=3.3477e-04) (hash(x)=86184566)
498
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1
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2
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