andrew-healey commited on
Commit
8d0ef08
·
verified ·
1 Parent(s): 77ea132

Upload folder using huggingface_hub

Browse files
one_mask_per_head_2_latent_vectors/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/one_mask_per_head_2_latent_vectors", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1337, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "n_latent_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": null, "batch_size": 4, "total_batch_size": null, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": 2, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/one_mask_per_head_2_latent_vectors", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "n_latent_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": null, "batch_size": 4, "total_batch_size": null, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": 2, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}
one_mask_per_head_2_latent_vectors/log2.txt CHANGED
@@ -1,303 +1,303 @@
1
  max_steps: 2500
2
- 0 val loss 11.0209
3
- 0 val perplexity 61140.6484
4
- 0 train 11.026832 (lr=8.3916e-07) (hash(x)=23347629)
5
- 10 train 10.224495 (lr=9.2308e-06) (hash(x)=19636655)
6
- 20 train 9.729277 (lr=1.7622e-05) (hash(x)=24490248)
7
- 30 train 9.527868 (lr=2.6014e-05) (hash(x)=21733558)
8
- 40 train 9.272552 (lr=3.4406e-05) (hash(x)=31750616)
9
- 50 train 8.960818 (lr=4.2797e-05) (hash(x)=20041895)
10
- 60 train 8.586679 (lr=5.1189e-05) (hash(x)=21416280)
11
- 70 train 8.241448 (lr=5.9580e-05) (hash(x)=18066780)
12
- 80 train 7.926493 (lr=6.7972e-05) (hash(x)=21809427)
13
- 90 train 7.674655 (lr=7.6364e-05) (hash(x)=22061595)
14
- 100 val loss 7.4587
15
- 100 val perplexity 1734.9619
16
- 100 train 7.408588 (lr=8.4755e-05) (hash(x)=17468914)
17
- 110 train 7.227366 (lr=9.3147e-05) (hash(x)=20421520)
18
- 120 train 7.229856 (lr=1.0154e-04) (hash(x)=23140133)
19
- 130 train 7.097166 (lr=1.0993e-04) (hash(x)=20006835)
20
- 140 train 6.848365 (lr=1.1832e-04) (hash(x)=18628134)
21
- 150 train 6.821269 (lr=1.2671e-04) (hash(x)=21913447)
22
- 160 train 6.769176 (lr=1.3510e-04) (hash(x)=22997297)
23
- 170 train 6.578884 (lr=1.4350e-04) (hash(x)=17904821)
24
- 180 train 6.428210 (lr=1.5189e-04) (hash(x)=18826982)
25
- 190 train 6.516953 (lr=1.6028e-04) (hash(x)=21387716)
26
- 200 val loss 6.3869
27
- 200 val perplexity 594.0179
28
- 200 train 6.309577 (lr=1.6867e-04) (hash(x)=16236395)
29
- 210 train 6.189707 (lr=1.7706e-04) (hash(x)=21428681)
30
- 220 train 6.336513 (lr=1.8545e-04) (hash(x)=20461738)
31
- 230 train 6.159262 (lr=1.9385e-04) (hash(x)=20394865)
32
- 240 train 6.045243 (lr=2.0224e-04) (hash(x)=18028671)
33
- 250 train 5.897091 (lr=2.1063e-04) (hash(x)=18122073)
34
- 260 train 5.813160 (lr=2.1902e-04) (hash(x)=22994143)
35
- 270 train 6.013514 (lr=2.2741e-04) (hash(x)=20646260)
36
- 280 train 5.860374 (lr=2.3580e-04) (hash(x)=23204708)
37
- 290 train 5.776207 (lr=2.4420e-04) (hash(x)=17900252)
38
- 300 val loss 5.8071
39
- 300 val perplexity 332.6622
40
- 300 train 5.650475 (lr=2.5259e-04) (hash(x)=19073819)
41
- 310 train 5.812761 (lr=2.6098e-04) (hash(x)=22378232)
42
- 320 train 5.730812 (lr=2.6937e-04) (hash(x)=19910430)
43
- 330 train 5.659667 (lr=2.7776e-04) (hash(x)=25168753)
44
- 340 train 5.535535 (lr=2.8615e-04) (hash(x)=20665256)
45
- 350 train 5.416691 (lr=2.9455e-04) (hash(x)=19951160)
46
- 360 train 5.629634 (lr=3.0294e-04) (hash(x)=21178202)
47
- 370 train 5.483434 (lr=3.1133e-04) (hash(x)=20435886)
48
- 380 train 5.417364 (lr=3.1972e-04) (hash(x)=21255097)
49
- 390 train 5.422375 (lr=3.2811e-04) (hash(x)=19596330)
50
- 400 val loss 5.3748
51
- 400 val perplexity 215.9036
52
- 400 train 5.398746 (lr=3.3650e-04) (hash(x)=21789426)
53
- 410 train 5.306820 (lr=3.4490e-04) (hash(x)=18366401)
54
- 420 train 5.186624 (lr=3.5329e-04) (hash(x)=18614660)
55
- 430 train 5.335863 (lr=3.6168e-04) (hash(x)=21649063)
56
- 440 train 5.209197 (lr=3.7007e-04) (hash(x)=18505097)
57
- 450 train 5.206759 (lr=3.7846e-04) (hash(x)=23434312)
58
- 460 train 5.083421 (lr=3.8685e-04) (hash(x)=16584569)
59
- 470 train 4.978126 (lr=3.9524e-04) (hash(x)=13447111)
60
- 480 train 5.169206 (lr=4.0364e-04) (hash(x)=22645130)
61
- 490 train 5.041542 (lr=4.1203e-04) (hash(x)=19362777)
62
- 500 val loss 5.0077
63
- 500 val perplexity 149.5551
64
- 500 train 4.943790 (lr=4.2042e-04) (hash(x)=20921874)
65
- 510 train 4.837734 (lr=4.2881e-04) (hash(x)=22123048)
66
- 520 train 4.861088 (lr=4.3720e-04) (hash(x)=21215368)
67
- 530 train 5.019162 (lr=4.4559e-04) (hash(x)=20717936)
68
- 540 train 4.858258 (lr=4.5399e-04) (hash(x)=20118007)
69
- 550 train 4.750133 (lr=4.6238e-04) (hash(x)=21402522)
70
- 560 train 4.671681 (lr=4.7077e-04) (hash(x)=19057180)
71
- 570 train 4.851924 (lr=4.7916e-04) (hash(x)=19360553)
72
- 580 train 4.781807 (lr=4.8755e-04) (hash(x)=18194693)
73
- 590 train 4.677301 (lr=4.9594e-04) (hash(x)=19863826)
74
- 600 val loss 4.6329
75
- 600 val perplexity 102.8118
76
- 600 train 4.585471 (lr=5.0434e-04) (hash(x)=21794551)
77
- 610 train 4.578421 (lr=5.1273e-04) (hash(x)=18685622)
78
- 620 train 4.461172 (lr=5.2112e-04) (hash(x)=23473104)
79
- 630 train 4.555367 (lr=5.2951e-04) (hash(x)=18671672)
80
- 640 train 4.559628 (lr=5.3790e-04) (hash(x)=19234240)
81
- 650 train 4.476555 (lr=5.4629e-04) (hash(x)=23183903)
82
- 660 train 4.321607 (lr=5.5469e-04) (hash(x)=23665543)
83
- 670 train 4.484042 (lr=5.6308e-04) (hash(x)=22055313)
84
- 680 train 4.452967 (lr=5.7147e-04) (hash(x)=22321668)
85
- 690 train 4.545545 (lr=5.7986e-04) (hash(x)=21568926)
86
- 700 val loss 4.4017
87
- 700 val perplexity 81.5878
88
- 700 train 4.404649 (lr=5.8825e-04) (hash(x)=19783143)
89
- 710 train 4.330183 (lr=5.9664e-04) (hash(x)=21565258)
90
- 720 train 4.418242 (lr=5.9999e-04) (hash(x)=16127212)
91
- 730 train 4.336320 (lr=5.9991e-04) (hash(x)=19658174)
92
- 740 train 4.312549 (lr=5.9974e-04) (hash(x)=16454319)
93
- 750 train 4.244321 (lr=5.9949e-04) (hash(x)=17993154)
94
- 760 train 4.170447 (lr=5.9915e-04) (hash(x)=19256989)
95
- 770 train 4.140961 (lr=5.9874e-04) (hash(x)=17351653)
96
- 780 train 4.162821 (lr=5.9824e-04) (hash(x)=21626120)
97
- 790 train 4.300798 (lr=5.9765e-04) (hash(x)=16367412)
98
- 800 val loss 4.2126
99
- 800 val perplexity 67.5346
100
- 800 train 4.165354 (lr=5.9698e-04) (hash(x)=22321504)
101
- 810 train 4.051053 (lr=5.9623e-04) (hash(x)=19869755)
102
- 820 train 4.218919 (lr=5.9540e-04) (hash(x)=24183665)
103
- 830 train 4.191387 (lr=5.9449e-04) (hash(x)=19194113)
104
- 840 train 4.038720 (lr=5.9349e-04) (hash(x)=17710503)
105
- 850 train 4.055954 (lr=5.9241e-04) (hash(x)=17231851)
106
- 860 train 4.191983 (lr=5.9126e-04) (hash(x)=20584272)
107
- 870 train 4.081844 (lr=5.9002e-04) (hash(x)=17468790)
108
- 880 train 4.022425 (lr=5.8869e-04) (hash(x)=22304409)
109
- 890 train 4.110187 (lr=5.8729e-04) (hash(x)=18871567)
110
- 900 val loss 4.0849
111
- 900 val perplexity 59.4347
112
- 900 train 4.060470 (lr=5.8581e-04) (hash(x)=20924720)
113
- 910 train 3.968852 (lr=5.8425e-04) (hash(x)=21163464)
114
- 920 train 3.905523 (lr=5.8262e-04) (hash(x)=20120862)
115
- 930 train 4.075518 (lr=5.8090e-04) (hash(x)=19565198)
116
- 940 train 3.999166 (lr=5.7911e-04) (hash(x)=18517540)
117
- 950 train 3.965435 (lr=5.7723e-04) (hash(x)=18300759)
118
- 960 train 3.995192 (lr=5.7529e-04) (hash(x)=21443001)
119
- 970 train 3.939906 (lr=5.7326e-04) (hash(x)=15210971)
120
- 980 train 4.115149 (lr=5.7116e-04) (hash(x)=20874579)
121
- 990 train 4.031127 (lr=5.6899e-04) (hash(x)=20690802)
122
- 1000 val loss 3.9732
123
- 1000 val perplexity 53.1533
124
- 1000 train 3.894017 (lr=5.6674e-04) (hash(x)=18635877)
125
- 1010 train 4.003831 (lr=5.6442e-04) (hash(x)=21141462)
126
- 1020 train 4.024293 (lr=5.6202e-04) (hash(x)=19483400)
127
- 1030 train 3.927857 (lr=5.5956e-04) (hash(x)=24792825)
128
- 1040 train 3.902182 (lr=5.5702e-04) (hash(x)=16743928)
129
- 1050 train 3.946391 (lr=5.5441e-04) (hash(x)=22540052)
130
- 1060 train 3.970180 (lr=5.5174e-04) (hash(x)=20546637)
131
- 1070 train 3.862578 (lr=5.4899e-04) (hash(x)=13739753)
132
- 1080 train 3.913860 (lr=5.4618e-04) (hash(x)=20071304)
133
- 1090 train 3.873674 (lr=5.4330e-04) (hash(x)=19339656)
134
- 1100 val loss 3.8920
135
- 1100 val perplexity 49.0107
136
- 1100 train 3.858489 (lr=5.4035e-04) (hash(x)=20039628)
137
- 1110 train 3.917438 (lr=5.3734e-04) (hash(x)=19249691)
138
- 1120 train 3.938951 (lr=5.3426e-04) (hash(x)=19048809)
139
- 1130 train 3.863695 (lr=5.3113e-04) (hash(x)=19309000)
140
- 1140 train 3.822195 (lr=5.2792e-04) (hash(x)=21787927)
141
- 1150 train 3.734058 (lr=5.2466e-04) (hash(x)=19998536)
142
- 1160 train 3.882380 (lr=5.2134e-04) (hash(x)=23724694)
143
- 1170 train 3.911989 (lr=5.1796e-04) (hash(x)=17148204)
144
- 1180 train 3.818443 (lr=5.1452e-04) (hash(x)=19511852)
145
- 1190 train 3.791586 (lr=5.1102e-04) (hash(x)=19352862)
146
- 1200 val loss 3.8240
147
- 1200 val perplexity 45.7866
148
- 1200 train 3.737743 (lr=5.0746e-04) (hash(x)=19530144)
149
- 1210 train 3.912196 (lr=5.0386e-04) (hash(x)=19897392)
150
- 1220 train 3.818771 (lr=5.0019e-04) (hash(x)=24402963)
151
- 1230 train 3.735388 (lr=4.9648e-04) (hash(x)=18589754)
152
- 1240 train 3.742621 (lr=4.9271e-04) (hash(x)=21951750)
153
- 1250 train 3.816519 (lr=4.8889e-04) (hash(x)=18611379)
154
- 1260 train 3.832747 (lr=4.8503e-04) (hash(x)=20338521)
155
- 1270 train 3.754608 (lr=4.8111e-04) (hash(x)=18308405)
156
- 1280 train 3.757423 (lr=4.7715e-04) (hash(x)=20920945)
157
- 1290 train 3.719588 (lr=4.7315e-04) (hash(x)=20094152)
158
- 1300 val loss 3.7609
159
- 1300 val perplexity 42.9868
160
- 1300 train 3.835805 (lr=4.6909e-04) (hash(x)=19003947)
161
- 1310 train 3.796214 (lr=4.6500e-04) (hash(x)=19356356)
162
- 1320 train 3.745485 (lr=4.6086e-04) (hash(x)=19390343)
163
- 1330 train 3.685663 (lr=4.5669e-04) (hash(x)=17535982)
164
- 1340 train 3.707920 (lr=4.5247e-04) (hash(x)=21959104)
165
- 1350 train 3.809441 (lr=4.4822e-04) (hash(x)=21982099)
166
- 1360 train 3.764965 (lr=4.4393e-04) (hash(x)=17176243)
167
- 1370 train 3.709131 (lr=4.3960e-04) (hash(x)=21223627)
168
- 1380 train 3.727587 (lr=4.3524e-04) (hash(x)=22462931)
169
- 1390 train 3.752164 (lr=4.3085e-04) (hash(x)=19153464)
170
- 1400 val loss 3.7104
171
- 1400 val perplexity 40.8690
172
- 1400 train 3.641955 (lr=4.2643e-04) (hash(x)=20146496)
173
- 1410 train 3.699762 (lr=4.2197e-04) (hash(x)=21781327)
174
- 1420 train 3.770651 (lr=4.1749e-04) (hash(x)=19234051)
175
- 1430 train 3.817792 (lr=4.1298e-04) (hash(x)=20769898)
176
- 1440 train 3.670071 (lr=4.0845e-04) (hash(x)=22042430)
177
- 1450 train 3.691169 (lr=4.0389e-04) (hash(x)=20527387)
178
- 1460 train 3.677291 (lr=3.9931e-04) (hash(x)=18925766)
179
- 1470 train 3.673635 (lr=3.9470e-04) (hash(x)=18198851)
180
- 1480 train 3.748024 (lr=3.9008e-04) (hash(x)=21847281)
181
- 1490 train 3.716259 (lr=3.8544e-04) (hash(x)=15645274)
182
- 1500 val loss 3.6622
183
- 1500 val perplexity 38.9466
184
- 1500 train 3.583534 (lr=3.8078e-04) (hash(x)=14693370)
185
- 1510 train 3.596366 (lr=3.7610e-04) (hash(x)=21810857)
186
- 1520 train 3.692387 (lr=3.7142e-04) (hash(x)=18980052)
187
- 1530 train 3.720563 (lr=3.6671e-04) (hash(x)=22868842)
188
- 1540 train 3.633126 (lr=3.6200e-04) (hash(x)=17289166)
189
- 1550 train 3.716073 (lr=3.5728e-04) (hash(x)=18109373)
190
- 1560 train 3.750870 (lr=3.5255e-04) (hash(x)=22377619)
191
- 1570 train 3.574374 (lr=3.4781e-04) (hash(x)=20307182)
192
- 1580 train 3.724839 (lr=3.4306e-04) (hash(x)=20391291)
193
- 1590 train 3.589329 (lr=3.3831e-04) (hash(x)=18690939)
194
- 1600 val loss 3.6260
195
- 1600 val perplexity 37.5637
196
- 1600 train 3.602168 (lr=3.3356e-04) (hash(x)=16719886)
197
- 1610 train 3.596222 (lr=3.2881e-04) (hash(x)=16040840)
198
- 1620 train 3.670853 (lr=3.2406e-04) (hash(x)=25795140)
199
- 1630 train 3.673065 (lr=3.1931e-04) (hash(x)=21936964)
200
- 1640 train 3.570467 (lr=3.1456e-04) (hash(x)=11593027)
201
- 1650 train 3.628470 (lr=3.0982e-04) (hash(x)=23256718)
202
- 1660 train 3.589739 (lr=3.0509e-04) (hash(x)=20289140)
203
- 1670 train 3.595504 (lr=3.0036e-04) (hash(x)=18382509)
204
- 1680 train 3.661044 (lr=2.9564e-04) (hash(x)=26604329)
205
- 1690 train 3.628746 (lr=2.9093e-04) (hash(x)=22122534)
206
- 1700 val loss 3.5943
207
- 1700 val perplexity 36.3917
208
- 1700 train 3.642315 (lr=2.8624e-04) (hash(x)=22884812)
209
- 1710 train 3.588021 (lr=2.8156e-04) (hash(x)=18598496)
210
- 1720 train 3.610672 (lr=2.7689e-04) (hash(x)=22147447)
211
- 1730 train 3.614013 (lr=2.7224e-04) (hash(x)=18912135)
212
- 1740 train 3.451508 (lr=2.6761e-04) (hash(x)=21952974)
213
- 1750 train 3.563020 (lr=2.6299e-04) (hash(x)=18390978)
214
- 1760 train 3.575140 (lr=2.5840e-04) (hash(x)=17979288)
215
- 1770 train 3.581527 (lr=2.5383e-04) (hash(x)=18979099)
216
- 1780 train 3.541154 (lr=2.4928e-04) (hash(x)=20511922)
217
- 1790 train 3.599244 (lr=2.4476e-04) (hash(x)=21814060)
218
- 1800 val loss 3.5667
219
- 1800 val perplexity 35.3981
220
- 1800 train 3.586027 (lr=2.4026e-04) (hash(x)=18076243)
221
- 1810 train 3.575942 (lr=2.3580e-04) (hash(x)=19721209)
222
- 1820 train 3.522937 (lr=2.3136e-04) (hash(x)=18140847)
223
- 1830 train 3.585089 (lr=2.2695e-04) (hash(x)=22065413)
224
- 1840 train 3.483308 (lr=2.2257e-04) (hash(x)=21166111)
225
- 1850 train 3.485255 (lr=2.1823e-04) (hash(x)=21904302)
226
- 1860 train 3.554620 (lr=2.1392e-04) (hash(x)=18283828)
227
- 1870 train 3.506842 (lr=2.0965e-04) (hash(x)=20892773)
228
- 1880 train 3.535563 (lr=2.0542e-04) (hash(x)=17781264)
229
- 1890 train 3.503753 (lr=2.0122e-04) (hash(x)=20612962)
230
- 1900 val loss 3.5417
231
- 1900 val perplexity 34.5247
232
- 1900 train 3.597557 (lr=1.9706e-04) (hash(x)=20421058)
233
- 1910 train 3.568954 (lr=1.9295e-04) (hash(x)=18554808)
234
- 1920 train 3.526215 (lr=1.8887e-04) (hash(x)=18189279)
235
- 1930 train 3.543596 (lr=1.8485e-04) (hash(x)=19923279)
236
- 1940 train 3.509617 (lr=1.8086e-04) (hash(x)=21665511)
237
- 1950 train 3.530538 (lr=1.7692e-04) (hash(x)=22038489)
238
- 1960 train 3.503208 (lr=1.7303e-04) (hash(x)=18896956)
239
- 1970 train 3.531210 (lr=1.6919e-04) (hash(x)=20408383)
240
- 1980 train 3.511794 (lr=1.6540e-04) (hash(x)=23039940)
241
- 1990 train 3.644492 (lr=1.6166e-04) (hash(x)=20631172)
242
- 2000 val loss 3.5254
243
- 2000 val perplexity 33.9659
244
- 2000 train 3.461013 (lr=1.5797e-04) (hash(x)=20206106)
245
- 2010 train 3.556440 (lr=1.5433e-04) (hash(x)=21864020)
246
- 2020 train 3.537346 (lr=1.5075e-04) (hash(x)=21391128)
247
- 2030 train 3.503325 (lr=1.4723e-04) (hash(x)=18676636)
248
- 2040 train 3.550397 (lr=1.4376e-04) (hash(x)=15987134)
249
- 2050 train 3.544177 (lr=1.4035e-04) (hash(x)=23940769)
250
- 2060 train 3.522619 (lr=1.3699e-04) (hash(x)=17152840)
251
- 2070 train 3.490402 (lr=1.3370e-04) (hash(x)=22958445)
252
- 2080 train 3.543362 (lr=1.3047e-04) (hash(x)=23616724)
253
- 2090 train 3.512293 (lr=1.2730e-04) (hash(x)=16571283)
254
- 2100 val loss 3.5006
255
- 2100 val perplexity 33.1352
256
- 2100 train 3.510895 (lr=1.2419e-04) (hash(x)=19070327)
257
- 2110 train 3.554395 (lr=1.2115e-04) (hash(x)=20758626)
258
- 2120 train 3.498906 (lr=1.1817e-04) (hash(x)=18397810)
259
- 2130 train 3.488154 (lr=1.1525e-04) (hash(x)=18045234)
260
- 2140 train 3.591183 (lr=1.1241e-04) (hash(x)=18969565)
261
- 2150 train 3.527388 (lr=1.0963e-04) (hash(x)=17149701)
262
- 2160 train 3.446743 (lr=1.0692e-04) (hash(x)=23075443)
263
- 2170 train 3.482064 (lr=1.0427e-04) (hash(x)=17977337)
264
- 2180 train 3.541664 (lr=1.0170e-04) (hash(x)=20657407)
265
- 2190 train 3.530729 (lr=9.9199e-05) (hash(x)=19985933)
266
- 2200 val loss 3.4853
267
- 2200 val perplexity 32.6307
268
- 2200 train 3.483011 (lr=9.6769e-05) (hash(x)=19025387)
269
- 2210 train 3.498638 (lr=9.4412e-05) (hash(x)=23318724)
270
- 2220 train 3.571498 (lr=9.2127e-05) (hash(x)=19308039)
271
- 2230 train 3.414404 (lr=8.9916e-05) (hash(x)=20733682)
272
- 2240 train 3.511224 (lr=8.7779e-05) (hash(x)=18519560)
273
- 2250 train 3.516548 (lr=8.5717e-05) (hash(x)=20299444)
274
- 2260 train 3.474868 (lr=8.3731e-05) (hash(x)=18819615)
275
- 2270 train 3.507273 (lr=8.1821e-05) (hash(x)=18743705)
276
- 2280 train 3.496422 (lr=7.9988e-05) (hash(x)=17190793)
277
- 2290 train 3.527422 (lr=7.8232e-05) (hash(x)=23126906)
278
- 2300 val loss 3.4727
279
- 2300 val perplexity 32.2222
280
- 2300 train 3.461187 (lr=7.6555e-05) (hash(x)=24812267)
281
- 2310 train 3.446771 (lr=7.4956e-05) (hash(x)=20147105)
282
- 2320 train 3.561950 (lr=7.3436e-05) (hash(x)=24619936)
283
- 2330 train 3.426948 (lr=7.1995e-05) (hash(x)=17730658)
284
- 2340 train 3.403539 (lr=7.0635e-05) (hash(x)=19345731)
285
- 2350 train 3.441451 (lr=6.9354e-05) (hash(x)=26415058)
286
- 2360 train 3.478770 (lr=6.8155e-05) (hash(x)=18622999)
287
- 2370 train 3.407625 (lr=6.7036e-05) (hash(x)=18848567)
288
- 2380 train 3.490878 (lr=6.5999e-05) (hash(x)=21903360)
289
- 2390 train 3.504000 (lr=6.5044e-05) (hash(x)=23479216)
290
- 2400 val loss 3.4640
291
- 2400 val perplexity 31.9446
292
- 2400 train 3.501966 (lr=6.4171e-05) (hash(x)=19762013)
293
- 2410 train 3.406570 (lr=6.3380e-05) (hash(x)=20622912)
294
- 2420 train 3.524851 (lr=6.2672e-05) (hash(x)=17669226)
295
- 2430 train 3.452855 (lr=6.2046e-05) (hash(x)=19536719)
296
- 2440 train 3.393947 (lr=6.1504e-05) (hash(x)=19913725)
297
- 2450 train 3.437440 (lr=6.1045e-05) (hash(x)=20782072)
298
- 2460 train 3.405302 (lr=6.0669e-05) (hash(x)=19795002)
299
- 2470 train 3.453721 (lr=6.0376e-05) (hash(x)=17003051)
300
- 2480 train 3.418798 (lr=6.0167e-05) (hash(x)=21414190)
301
- 2490 train 3.468121 (lr=6.0042e-05) (hash(x)=20943620)
302
- 2499 val loss 3.4585
303
- 2499 val perplexity 31.7705
 
1
  max_steps: 2500
2
+ 0 val loss 10.9803
3
+ 0 val perplexity 58708.7344
4
+ 0 train 10.981787 (lr=8.3916e-07) (hash(x)=17183924)
5
+ 10 train 10.119558 (lr=9.2308e-06) (hash(x)=19047484)
6
+ 20 train 9.643312 (lr=1.7622e-05) (hash(x)=20001614)
7
+ 30 train 9.412062 (lr=2.6014e-05) (hash(x)=21278543)
8
+ 40 train 9.157112 (lr=3.4406e-05) (hash(x)=29208111)
9
+ 50 train 8.842901 (lr=4.2797e-05) (hash(x)=20801292)
10
+ 60 train 8.502390 (lr=5.1189e-05) (hash(x)=27442073)
11
+ 70 train 8.139378 (lr=5.9580e-05) (hash(x)=19918406)
12
+ 80 train 7.781339 (lr=6.7972e-05) (hash(x)=20569806)
13
+ 90 train 7.672777 (lr=7.6364e-05) (hash(x)=26013441)
14
+ 100 val loss 7.4532
15
+ 100 val perplexity 1725.3317
16
+ 100 train 7.426733 (lr=8.4755e-05) (hash(x)=29039793)
17
+ 110 train 7.252076 (lr=9.3147e-05) (hash(x)=16550842)
18
+ 120 train 7.087349 (lr=1.0154e-04) (hash(x)=17250570)
19
+ 130 train 7.114640 (lr=1.0993e-04) (hash(x)=17154654)
20
+ 140 train 6.974027 (lr=1.1832e-04) (hash(x)=22437415)
21
+ 150 train 6.915896 (lr=1.2671e-04) (hash(x)=18645582)
22
+ 160 train 6.661926 (lr=1.3510e-04) (hash(x)=19460261)
23
+ 170 train 6.514016 (lr=1.4350e-04) (hash(x)=20953331)
24
+ 180 train 6.590486 (lr=1.5189e-04) (hash(x)=20883978)
25
+ 190 train 6.469072 (lr=1.6028e-04) (hash(x)=25571428)
26
+ 200 val loss 6.4090
27
+ 200 val perplexity 607.3052
28
+ 200 train 6.332068 (lr=1.6867e-04) (hash(x)=16049634)
29
+ 210 train 6.316191 (lr=1.7706e-04) (hash(x)=15886413)
30
+ 220 train 6.376137 (lr=1.8545e-04) (hash(x)=21731617)
31
+ 230 train 6.155892 (lr=1.9385e-04) (hash(x)=22509449)
32
+ 240 train 6.096032 (lr=2.0224e-04) (hash(x)=17396544)
33
+ 250 train 6.141424 (lr=2.1063e-04) (hash(x)=17748336)
34
+ 260 train 6.024675 (lr=2.1902e-04) (hash(x)=21263532)
35
+ 270 train 5.954779 (lr=2.2741e-04) (hash(x)=19623735)
36
+ 280 train 5.933280 (lr=2.3580e-04) (hash(x)=18337637)
37
+ 290 train 5.886799 (lr=2.4420e-04) (hash(x)=20005903)
38
+ 300 val loss 5.8034
39
+ 300 val perplexity 331.4403
40
+ 300 train 5.822334 (lr=2.5259e-04) (hash(x)=20938811)
41
+ 310 train 5.716088 (lr=2.6098e-04) (hash(x)=20688368)
42
+ 320 train 5.731483 (lr=2.6937e-04) (hash(x)=19776598)
43
+ 330 train 5.648857 (lr=2.7776e-04) (hash(x)=19721837)
44
+ 340 train 5.580023 (lr=2.8615e-04) (hash(x)=16578291)
45
+ 350 train 5.499309 (lr=2.9455e-04) (hash(x)=19998371)
46
+ 360 train 5.606770 (lr=3.0294e-04) (hash(x)=21565819)
47
+ 370 train 5.509754 (lr=3.1133e-04) (hash(x)=19484104)
48
+ 380 train 5.396148 (lr=3.1972e-04) (hash(x)=20659288)
49
+ 390 train 5.321680 (lr=3.2811e-04) (hash(x)=22061179)
50
+ 400 val loss 5.3577
51
+ 400 val perplexity 212.2278
52
+ 400 train 5.426161 (lr=3.3650e-04) (hash(x)=18557926)
53
+ 410 train 5.297194 (lr=3.4490e-04) (hash(x)=24034052)
54
+ 420 train 5.191974 (lr=3.5329e-04) (hash(x)=19768493)
55
+ 430 train 5.275582 (lr=3.6168e-04) (hash(x)=21678884)
56
+ 440 train 5.205054 (lr=3.7007e-04) (hash(x)=19589702)
57
+ 450 train 5.235847 (lr=3.7846e-04) (hash(x)=19902911)
58
+ 460 train 5.006043 (lr=3.8685e-04) (hash(x)=18881029)
59
+ 470 train 5.135803 (lr=3.9524e-04) (hash(x)=24329185)
60
+ 480 train 5.019996 (lr=4.0364e-04) (hash(x)=18709451)
61
+ 490 train 4.990302 (lr=4.1203e-04) (hash(x)=18834705)
62
+ 500 val loss 4.9887
63
+ 500 val perplexity 146.7455
64
+ 500 train 5.025167 (lr=4.2042e-04) (hash(x)=24221098)
65
+ 510 train 4.981864 (lr=4.2881e-04) (hash(x)=20010758)
66
+ 520 train 4.936800 (lr=4.3720e-04) (hash(x)=18547084)
67
+ 530 train 4.757543 (lr=4.4559e-04) (hash(x)=18282458)
68
+ 540 train 4.891625 (lr=4.5399e-04) (hash(x)=20671087)
69
+ 550 train 4.742090 (lr=4.6238e-04) (hash(x)=18634421)
70
+ 560 train 4.680741 (lr=4.7077e-04) (hash(x)=17067920)
71
+ 570 train 4.813383 (lr=4.7916e-04) (hash(x)=22276881)
72
+ 580 train 4.703204 (lr=4.8755e-04) (hash(x)=22973651)
73
+ 590 train 4.692297 (lr=4.9594e-04) (hash(x)=18096900)
74
+ 600 val loss 4.6245
75
+ 600 val perplexity 101.9488
76
+ 600 train 4.571012 (lr=5.0434e-04) (hash(x)=20617414)
77
+ 610 train 4.444651 (lr=5.1273e-04) (hash(x)=20722525)
78
+ 620 train 4.647902 (lr=5.2112e-04) (hash(x)=20785452)
79
+ 630 train 4.590510 (lr=5.2951e-04) (hash(x)=16647858)
80
+ 640 train 4.520114 (lr=5.3790e-04) (hash(x)=20798993)
81
+ 650 train 4.445772 (lr=5.4629e-04) (hash(x)=20912393)
82
+ 660 train 4.281695 (lr=5.5469e-04) (hash(x)=21505604)
83
+ 670 train 4.516667 (lr=5.6308e-04) (hash(x)=20263120)
84
+ 680 train 4.424880 (lr=5.7147e-04) (hash(x)=20779495)
85
+ 690 train 4.345970 (lr=5.7986e-04) (hash(x)=16555678)
86
+ 700 val loss 4.3729
87
+ 700 val perplexity 79.2770
88
+ 700 train 4.194740 (lr=5.8825e-04) (hash(x)=20156261)
89
+ 710 train 4.175675 (lr=5.9664e-04) (hash(x)=17064702)
90
+ 720 train 4.400195 (lr=5.9999e-04) (hash(x)=19321113)
91
+ 730 train 4.339067 (lr=5.9991e-04) (hash(x)=19738613)
92
+ 740 train 4.270685 (lr=5.9974e-04) (hash(x)=18585508)
93
+ 750 train 4.147637 (lr=5.9949e-04) (hash(x)=18605696)
94
+ 760 train 4.313256 (lr=5.9915e-04) (hash(x)=22711193)
95
+ 770 train 4.256395 (lr=5.9874e-04) (hash(x)=17163545)
96
+ 780 train 4.161443 (lr=5.9824e-04) (hash(x)=22239165)
97
+ 790 train 4.263532 (lr=5.9765e-04) (hash(x)=19202751)
98
+ 800 val loss 4.2109
99
+ 800 val perplexity 67.4170
100
+ 800 train 4.271319 (lr=5.9698e-04) (hash(x)=22502753)
101
+ 810 train 4.220746 (lr=5.9623e-04) (hash(x)=20197889)
102
+ 820 train 4.157265 (lr=5.9540e-04) (hash(x)=19376072)
103
+ 830 train 4.014478 (lr=5.9449e-04) (hash(x)=18293711)
104
+ 840 train 4.184201 (lr=5.9349e-04) (hash(x)=19061676)
105
+ 850 train 4.193909 (lr=5.9241e-04) (hash(x)=20557626)
106
+ 860 train 4.115611 (lr=5.9126e-04) (hash(x)=18642266)
107
+ 870 train 3.989679 (lr=5.9002e-04) (hash(x)=20957453)
108
+ 880 train 4.021313 (lr=5.8869e-04) (hash(x)=21781033)
109
+ 890 train 4.133365 (lr=5.8729e-04) (hash(x)=21094646)
110
+ 900 val loss 4.0614
111
+ 900 val perplexity 58.0554
112
+ 900 train 4.118994 (lr=5.8581e-04) (hash(x)=21499150)
113
+ 910 train 4.089995 (lr=5.8425e-04) (hash(x)=19423438)
114
+ 920 train 3.900768 (lr=5.8262e-04) (hash(x)=20543615)
115
+ 930 train 4.088742 (lr=5.8090e-04) (hash(x)=19245236)
116
+ 940 train 4.089410 (lr=5.7911e-04) (hash(x)=24035334)
117
+ 950 train 4.021673 (lr=5.7723e-04) (hash(x)=16703311)
118
+ 960 train 3.992325 (lr=5.7529e-04) (hash(x)=23101805)
119
+ 970 train 3.950537 (lr=5.7326e-04) (hash(x)=20320872)
120
+ 980 train 3.993726 (lr=5.7116e-04) (hash(x)=20990946)
121
+ 990 train 4.003374 (lr=5.6899e-04) (hash(x)=18628956)
122
+ 1000 val loss 3.9629
123
+ 1000 val perplexity 52.6105
124
+ 1000 train 3.938634 (lr=5.6674e-04) (hash(x)=22968748)
125
+ 1010 train 3.917498 (lr=5.6442e-04) (hash(x)=20541414)
126
+ 1020 train 3.975941 (lr=5.6202e-04) (hash(x)=19274167)
127
+ 1030 train 3.934474 (lr=5.5956e-04) (hash(x)=22645317)
128
+ 1040 train 3.904500 (lr=5.5702e-04) (hash(x)=17884034)
129
+ 1050 train 3.906873 (lr=5.5441e-04) (hash(x)=19299722)
130
+ 1060 train 3.918670 (lr=5.5174e-04) (hash(x)=18409931)
131
+ 1070 train 3.894806 (lr=5.4899e-04) (hash(x)=22455477)
132
+ 1080 train 3.869685 (lr=5.4618e-04) (hash(x)=20085073)
133
+ 1090 train 3.896967 (lr=5.4330e-04) (hash(x)=20371024)
134
+ 1100 val loss 3.8682
135
+ 1100 val perplexity 47.8572
136
+ 1100 train 3.847680 (lr=5.4035e-04) (hash(x)=17534387)
137
+ 1110 train 3.852636 (lr=5.3734e-04) (hash(x)=18107517)
138
+ 1120 train 3.882497 (lr=5.3426e-04) (hash(x)=21862096)
139
+ 1130 train 3.877234 (lr=5.3113e-04) (hash(x)=24296067)
140
+ 1140 train 3.777543 (lr=5.2792e-04) (hash(x)=25489932)
141
+ 1150 train 3.890559 (lr=5.2466e-04) (hash(x)=19256895)
142
+ 1160 train 3.802947 (lr=5.2134e-04) (hash(x)=20915643)
143
+ 1170 train 3.871340 (lr=5.1796e-04) (hash(x)=22053731)
144
+ 1180 train 3.828829 (lr=5.1452e-04) (hash(x)=20012827)
145
+ 1190 train 3.814388 (lr=5.1102e-04) (hash(x)=21694459)
146
+ 1200 val loss 3.8086
147
+ 1200 val perplexity 45.0878
148
+ 1200 train 3.850748 (lr=5.0746e-04) (hash(x)=21755992)
149
+ 1210 train 3.837916 (lr=5.0386e-04) (hash(x)=21880996)
150
+ 1220 train 3.814308 (lr=5.0019e-04) (hash(x)=20520945)
151
+ 1230 train 3.783235 (lr=4.9648e-04) (hash(x)=19770784)
152
+ 1240 train 3.790468 (lr=4.9271e-04) (hash(x)=18571983)
153
+ 1250 train 3.794569 (lr=4.8889e-04) (hash(x)=20735694)
154
+ 1260 train 3.746379 (lr=4.8503e-04) (hash(x)=21156163)
155
+ 1270 train 3.808167 (lr=4.8111e-04) (hash(x)=21271664)
156
+ 1280 train 3.775006 (lr=4.7715e-04) (hash(x)=19315272)
157
+ 1290 train 3.743977 (lr=4.7315e-04) (hash(x)=21142191)
158
+ 1300 val loss 3.7492
159
+ 1300 val perplexity 42.4869
160
+ 1300 train 3.781651 (lr=4.6909e-04) (hash(x)=17145293)
161
+ 1310 train 3.964586 (lr=4.6500e-04) (hash(x)=17713742)
162
+ 1320 train 3.759767 (lr=4.6086e-04) (hash(x)=33348747)
163
+ 1330 train 3.714254 (lr=4.5669e-04) (hash(x)=20702111)
164
+ 1340 train 3.794268 (lr=4.5247e-04) (hash(x)=17898284)
165
+ 1350 train 3.702932 (lr=4.4822e-04) (hash(x)=17904915)
166
+ 1360 train 3.716854 (lr=4.4393e-04) (hash(x)=23325893)
167
+ 1370 train 3.642303 (lr=4.3960e-04) (hash(x)=20717754)
168
+ 1380 train 3.745301 (lr=4.3524e-04) (hash(x)=16859207)
169
+ 1390 train 3.706009 (lr=4.3085e-04) (hash(x)=21029500)
170
+ 1400 val loss 3.7059
171
+ 1400 val perplexity 40.6869
172
+ 1400 train 3.646819 (lr=4.2643e-04) (hash(x)=17789655)
173
+ 1410 train 3.764728 (lr=4.2197e-04) (hash(x)=19965237)
174
+ 1420 train 3.735120 (lr=4.1749e-04) (hash(x)=19262560)
175
+ 1430 train 3.640206 (lr=4.1298e-04) (hash(x)=18593169)
176
+ 1440 train 3.645439 (lr=4.0845e-04) (hash(x)=20607672)
177
+ 1450 train 3.698761 (lr=4.0389e-04) (hash(x)=20682942)
178
+ 1460 train 3.649403 (lr=3.9931e-04) (hash(x)=20220347)
179
+ 1470 train 3.630159 (lr=3.9470e-04) (hash(x)=15833389)
180
+ 1480 train 3.758533 (lr=3.9008e-04) (hash(x)=19495027)
181
+ 1490 train 3.668654 (lr=3.8544e-04) (hash(x)=22138106)
182
+ 1500 val loss 3.6617
183
+ 1500 val perplexity 38.9275
184
+ 1500 train 3.621582 (lr=3.8078e-04) (hash(x)=24123427)
185
+ 1510 train 3.583689 (lr=3.7610e-04) (hash(x)=19024825)
186
+ 1520 train 3.724061 (lr=3.7142e-04) (hash(x)=19780005)
187
+ 1530 train 3.714616 (lr=3.6671e-04) (hash(x)=19134410)
188
+ 1540 train 3.631273 (lr=3.6200e-04) (hash(x)=19855253)
189
+ 1550 train 3.595632 (lr=3.5728e-04) (hash(x)=20259196)
190
+ 1560 train 3.597122 (lr=3.5255e-04) (hash(x)=18870222)
191
+ 1570 train 3.631028 (lr=3.4781e-04) (hash(x)=16067782)
192
+ 1580 train 3.626120 (lr=3.4306e-04) (hash(x)=21604205)
193
+ 1590 train 3.600831 (lr=3.3831e-04) (hash(x)=19076298)
194
+ 1600 val loss 3.6255
195
+ 1600 val perplexity 37.5444
196
+ 1600 train 3.623093 (lr=3.3356e-04) (hash(x)=19064055)
197
+ 1610 train 3.674186 (lr=3.2881e-04) (hash(x)=19196041)
198
+ 1620 train 3.626938 (lr=3.2406e-04) (hash(x)=25625303)
199
+ 1630 train 3.576034 (lr=3.1931e-04) (hash(x)=20618762)
200
+ 1640 train 3.618860 (lr=3.1456e-04) (hash(x)=21102615)
201
+ 1650 train 3.564730 (lr=3.0982e-04) (hash(x)=21088682)
202
+ 1660 train 3.549482 (lr=3.0509e-04) (hash(x)=15297157)
203
+ 1670 train 3.592760 (lr=3.0036e-04) (hash(x)=19690570)
204
+ 1680 train 3.610930 (lr=2.9564e-04) (hash(x)=21445411)
205
+ 1690 train 3.594339 (lr=2.9093e-04) (hash(x)=21683876)
206
+ 1700 val loss 3.5874
207
+ 1700 val perplexity 36.1407
208
+ 1700 train 3.602877 (lr=2.8624e-04) (hash(x)=17449466)
209
+ 1710 train 3.607208 (lr=2.8156e-04) (hash(x)=16754900)
210
+ 1720 train 3.572566 (lr=2.7689e-04) (hash(x)=20736439)
211
+ 1730 train 3.607226 (lr=2.7224e-04) (hash(x)=21475325)
212
+ 1740 train 3.551026 (lr=2.6761e-04) (hash(x)=31466218)
213
+ 1750 train 3.635657 (lr=2.6299e-04) (hash(x)=17740223)
214
+ 1760 train 3.570215 (lr=2.5840e-04) (hash(x)=17626006)
215
+ 1770 train 3.422887 (lr=2.5383e-04) (hash(x)=22276216)
216
+ 1780 train 3.536065 (lr=2.4928e-04) (hash(x)=14277004)
217
+ 1790 train 3.561902 (lr=2.4476e-04) (hash(x)=20600488)
218
+ 1800 val loss 3.5621
219
+ 1800 val perplexity 35.2366
220
+ 1800 train 3.574463 (lr=2.4026e-04) (hash(x)=17508978)
221
+ 1810 train 3.486950 (lr=2.3580e-04) (hash(x)=22374263)
222
+ 1820 train 3.626369 (lr=2.3136e-04) (hash(x)=18959095)
223
+ 1830 train 3.537313 (lr=2.2695e-04) (hash(x)=19485836)
224
+ 1840 train 3.531831 (lr=2.2257e-04) (hash(x)=24276692)
225
+ 1850 train 3.558848 (lr=2.1823e-04) (hash(x)=20554224)
226
+ 1860 train 3.547421 (lr=2.1392e-04) (hash(x)=18068030)
227
+ 1870 train 3.569391 (lr=2.0965e-04) (hash(x)=18349056)
228
+ 1880 train 3.505214 (lr=2.0542e-04) (hash(x)=20640059)
229
+ 1890 train 3.511017 (lr=2.0122e-04) (hash(x)=19667347)
230
+ 1900 val loss 3.5358
231
+ 1900 val perplexity 34.3211
232
+ 1900 train 3.568940 (lr=1.9706e-04) (hash(x)=19559109)
233
+ 1910 train 3.590243 (lr=1.9295e-04) (hash(x)=22490711)
234
+ 1920 train 3.525853 (lr=1.8887e-04) (hash(x)=18268544)
235
+ 1930 train 3.506641 (lr=1.8485e-04) (hash(x)=20585037)
236
+ 1940 train 3.577510 (lr=1.8086e-04) (hash(x)=30293578)
237
+ 1950 train 3.514944 (lr=1.7692e-04) (hash(x)=21836208)
238
+ 1960 train 3.449993 (lr=1.7303e-04) (hash(x)=23417084)
239
+ 1970 train 3.542269 (lr=1.6919e-04) (hash(x)=19390086)
240
+ 1980 train 3.469500 (lr=1.6540e-04) (hash(x)=20129488)
241
+ 1990 train 3.513119 (lr=1.6166e-04) (hash(x)=20177413)
242
+ 2000 val loss 3.5171
243
+ 2000 val perplexity 33.6868
244
+ 2000 train 3.443385 (lr=1.5797e-04) (hash(x)=15921967)
245
+ 2010 train 3.511441 (lr=1.5433e-04) (hash(x)=20819557)
246
+ 2020 train 3.532563 (lr=1.5075e-04) (hash(x)=18729616)
247
+ 2030 train 3.469848 (lr=1.4723e-04) (hash(x)=15730659)
248
+ 2040 train 3.511942 (lr=1.4376e-04) (hash(x)=18679863)
249
+ 2050 train 3.563097 (lr=1.4035e-04) (hash(x)=17110863)
250
+ 2060 train 3.472592 (lr=1.3699e-04) (hash(x)=18291952)
251
+ 2070 train 3.498121 (lr=1.3370e-04) (hash(x)=18249172)
252
+ 2080 train 3.528080 (lr=1.3047e-04) (hash(x)=22686659)
253
+ 2090 train 3.483869 (lr=1.2730e-04) (hash(x)=18354325)
254
+ 2100 val loss 3.4982
255
+ 2100 val perplexity 33.0558
256
+ 2100 train 3.473750 (lr=1.2419e-04) (hash(x)=18204536)
257
+ 2110 train 3.539428 (lr=1.2115e-04) (hash(x)=22394614)
258
+ 2120 train 3.425844 (lr=1.1817e-04) (hash(x)=18121192)
259
+ 2130 train 3.468009 (lr=1.1525e-04) (hash(x)=24393898)
260
+ 2140 train 3.481289 (lr=1.1241e-04) (hash(x)=27349908)
261
+ 2150 train 3.503107 (lr=1.0963e-04) (hash(x)=18262196)
262
+ 2160 train 3.434892 (lr=1.0692e-04) (hash(x)=20081235)
263
+ 2170 train 3.467141 (lr=1.0427e-04) (hash(x)=16984900)
264
+ 2180 train 3.536548 (lr=1.0170e-04) (hash(x)=24294588)
265
+ 2190 train 3.494779 (lr=9.9199e-05) (hash(x)=17042450)
266
+ 2200 val loss 3.4841
267
+ 2200 val perplexity 32.5938
268
+ 2200 train 3.383519 (lr=9.6769e-05) (hash(x)=23876593)
269
+ 2210 train 3.530521 (lr=9.4412e-05) (hash(x)=19173831)
270
+ 2220 train 3.435912 (lr=9.2127e-05) (hash(x)=21211298)
271
+ 2230 train 3.437502 (lr=8.9916e-05) (hash(x)=18721700)
272
+ 2240 train 3.435278 (lr=8.7779e-05) (hash(x)=19825319)
273
+ 2250 train 3.459467 (lr=8.5717e-05) (hash(x)=18378838)
274
+ 2260 train 3.463020 (lr=8.3731e-05) (hash(x)=13199654)
275
+ 2270 train 3.380137 (lr=8.1821e-05) (hash(x)=18597807)
276
+ 2280 train 3.485405 (lr=7.9988e-05) (hash(x)=22012917)
277
+ 2290 train 3.404468 (lr=7.8232e-05) (hash(x)=22305542)
278
+ 2300 val loss 3.4689
279
+ 2300 val perplexity 32.1027
280
+ 2300 train 3.500764 (lr=7.6555e-05) (hash(x)=19782726)
281
+ 2310 train 3.467016 (lr=7.4956e-05) (hash(x)=22042291)
282
+ 2320 train 3.471705 (lr=7.3436e-05) (hash(x)=17370832)
283
+ 2330 train 3.506680 (lr=7.1995e-05) (hash(x)=19612132)
284
+ 2340 train 3.473424 (lr=7.0635e-05) (hash(x)=18803286)
285
+ 2350 train 3.458232 (lr=6.9354e-05) (hash(x)=20196070)
286
+ 2360 train 3.427007 (lr=6.8155e-05) (hash(x)=19997454)
287
+ 2370 train 3.434407 (lr=6.7036e-05) (hash(x)=16704483)
288
+ 2380 train 3.460657 (lr=6.5999e-05) (hash(x)=19131833)
289
+ 2390 train 3.406964 (lr=6.5044e-05) (hash(x)=20507035)
290
+ 2400 val loss 3.4604
291
+ 2400 val perplexity 31.8296
292
+ 2400 train 3.519377 (lr=6.4171e-05) (hash(x)=20254090)
293
+ 2410 train 3.452719 (lr=6.3380e-05) (hash(x)=17926964)
294
+ 2420 train 3.483057 (lr=6.2672e-05) (hash(x)=20607860)
295
+ 2430 train 3.416114 (lr=6.2046e-05) (hash(x)=11288168)
296
+ 2440 train 3.532155 (lr=6.1504e-05) (hash(x)=21486139)
297
+ 2450 train 3.474133 (lr=6.1045e-05) (hash(x)=18994546)
298
+ 2460 train 3.407577 (lr=6.0669e-05) (hash(x)=21218220)
299
+ 2470 train 3.506916 (lr=6.0376e-05) (hash(x)=20504341)
300
+ 2480 train 3.460694 (lr=6.0167e-05) (hash(x)=17937386)
301
+ 2490 train 3.374489 (lr=6.0042e-05) (hash(x)=21870434)
302
+ 2499 val loss 3.4539
303
+ 2499 val perplexity 31.6250
one_mask_per_head_2_latent_vectors/model_02499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e6e5b83698a0de24d4f5ad15ec593cbe4fddced132e2c7b15b1afaa74c7ecfd8
3
  size 555249266
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:360ed544e74a29df85fed16358bbbe3097bfa42c09a47957d20a37a8832653ed
3
  size 555249266
one_mask_per_head_2_latent_vectors/optimizer_02499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:49c48fa9cd63ffdc18e4cbe54f2d3fb3987cb7e18a6b1cdccb6ddc1469074352
3
  size 1009849270
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fea366a85ff360d56273b55c5bd1f7553ccc96e0341d8be23722e9f4ff17ab0a
3
  size 1009849270