andrew-healey commited on
Commit
eb6502a
·
verified ·
1 Parent(s): 3c26912

Upload folder using huggingface_hub

Browse files
att_conv_playground/h_small_heads_wd_seed_1339/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "att_conv_playground/h_small_heads_wd_seed_1339", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 25, "n_embd": 264, "head_dim": 11, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "att_conv_playground", "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, "disable_selection_head_linear_combo_bias": false, "assert_latent_matches_no_head": false, "n_latent_masks": 1, "init_latent_masks_to_identity": true, "init_latent_masks_to_inverse": false, "latent_mask_scale": null, "latent_mask_runtime_multiplier": null, "latent_mask_sigmoid": false, "S_layernorm": false, "one_head_per_latent_mask": false, "att_conv": true, "att_conv_init": "eye", "att_conv_scale": 1.0, "att_conv_weight_decay": true, "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": 32, "total_batch_size": 131072, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_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": "h_small_heads_wd", "latent_mask_precision": "float32", "att_conv_precision": "bfloat16"}
att_conv_playground/h_small_heads_wd_seed_1339/dataloader_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6031fd3e2855a036f7a5531cc24555aabd1115f9dd6618b8b2ca6f55279ef0b2
3
+ size 964
att_conv_playground/h_small_heads_wd_seed_1339/log2.txt ADDED
@@ -0,0 +1,529 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 4375
2
+ 0 val loss 11.3581
3
+ 0 val perplexity 85657.0312
4
+ 0 train 11.360914 (lr=4.1958e-06) (hash(x)=44992657)
5
+ 10 train 9.997787 (lr=4.6154e-05) (hash(x)=33468021)
6
+ 20 train 9.422035 (lr=8.8112e-05) (hash(x)=40941803)
7
+ 30 train 8.697174 (lr=1.3007e-04) (hash(x)=36715902)
8
+ 40 train 7.952935 (lr=1.7203e-04) (hash(x)=32710993)
9
+ 50 train 7.706226 (lr=2.1399e-04) (hash(x)=43839896)
10
+ 60 train 7.741389 (lr=2.5594e-04) (hash(x)=40675468)
11
+ 70 train 7.420853 (lr=2.9790e-04) (hash(x)=34592631)
12
+ 80 train 7.403024 (lr=3.3986e-04) (hash(x)=44444845)
13
+ 90 train 7.194962 (lr=3.8182e-04) (hash(x)=41965258)
14
+ 100 val loss 7.0732
15
+ 100 val perplexity 1179.9484
16
+ 100 train 6.938760 (lr=4.2378e-04) (hash(x)=41284750)
17
+ 110 train 6.882221 (lr=4.6573e-04) (hash(x)=41118734)
18
+ 120 train 6.708213 (lr=5.0769e-04) (hash(x)=37537547)
19
+ 130 train 6.598547 (lr=5.4965e-04) (hash(x)=43625179)
20
+ 140 train 6.550676 (lr=5.9161e-04) (hash(x)=41940760)
21
+ 150 train 6.602510 (lr=6.3357e-04) (hash(x)=39210431)
22
+ 160 train 6.551625 (lr=6.7552e-04) (hash(x)=41128294)
23
+ 170 train 6.426193 (lr=7.1748e-04) (hash(x)=41590227)
24
+ 180 train 6.359056 (lr=7.5944e-04) (hash(x)=38084871)
25
+ 190 train 6.275005 (lr=8.0140e-04) (hash(x)=34534333)
26
+ 200 val loss 6.1848
27
+ 200 val perplexity 485.3007
28
+ 200 train 6.220329 (lr=8.4336e-04) (hash(x)=41614299)
29
+ 210 train 6.100368 (lr=8.8531e-04) (hash(x)=35551597)
30
+ 220 train 6.020786 (lr=9.2727e-04) (hash(x)=44615432)
31
+ 230 train 6.158761 (lr=9.6923e-04) (hash(x)=37078768)
32
+ 240 train 5.860273 (lr=1.0112e-03) (hash(x)=40644078)
33
+ 250 train 5.900746 (lr=1.0531e-03) (hash(x)=44636066)
34
+ 260 train 5.813921 (lr=1.0951e-03) (hash(x)=43247952)
35
+ 270 train 5.733735 (lr=1.1371e-03) (hash(x)=37989370)
36
+ 280 train 5.686377 (lr=1.1790e-03) (hash(x)=36229730)
37
+ 290 train 5.605633 (lr=1.2210e-03) (hash(x)=35032996)
38
+ 300 val loss 5.7442
39
+ 300 val perplexity 312.3613
40
+ 300 train 5.489250 (lr=1.2629e-03) (hash(x)=33868636)
41
+ 310 train 5.404451 (lr=1.3049e-03) (hash(x)=39782705)
42
+ 320 train 5.497421 (lr=1.3469e-03) (hash(x)=43525765)
43
+ 330 train 5.585708 (lr=1.3888e-03) (hash(x)=38074926)
44
+ 340 train 5.640974 (lr=1.4308e-03) (hash(x)=50125702)
45
+ 350 train 5.619900 (lr=1.4727e-03) (hash(x)=35062222)
46
+ 360 train 5.547323 (lr=1.5147e-03) (hash(x)=39671001)
47
+ 370 train 5.574089 (lr=1.5566e-03) (hash(x)=35748364)
48
+ 380 train 5.376996 (lr=1.5986e-03) (hash(x)=39962666)
49
+ 390 train 5.344205 (lr=1.6406e-03) (hash(x)=39213360)
50
+ 400 val loss 5.3718
51
+ 400 val perplexity 215.2439
52
+ 400 train 5.348409 (lr=1.6825e-03) (hash(x)=37919584)
53
+ 410 train 5.309412 (lr=1.7245e-03) (hash(x)=42001527)
54
+ 420 train 5.297761 (lr=1.7664e-03) (hash(x)=33940005)
55
+ 430 train 5.334463 (lr=1.8084e-03) (hash(x)=41749217)
56
+ 440 train 5.229463 (lr=1.8503e-03) (hash(x)=45219739)
57
+ 450 train 5.226505 (lr=1.8923e-03) (hash(x)=38515090)
58
+ 460 train 5.126467 (lr=1.9343e-03) (hash(x)=37518607)
59
+ 470 train 4.954052 (lr=1.9762e-03) (hash(x)=46830716)
60
+ 480 train 5.052088 (lr=2.0182e-03) (hash(x)=49262598)
61
+ 490 train 4.875694 (lr=2.0601e-03) (hash(x)=41370559)
62
+ 500 val loss 5.1705
63
+ 500 val perplexity 176.0040
64
+ 500 train 4.945532 (lr=2.1021e-03) (hash(x)=35237459)
65
+ 510 train 5.047755 (lr=2.1441e-03) (hash(x)=35070579)
66
+ 520 train 5.103638 (lr=2.1860e-03) (hash(x)=37355110)
67
+ 530 train 5.170568 (lr=2.2280e-03) (hash(x)=39398044)
68
+ 540 train 5.118159 (lr=2.2699e-03) (hash(x)=39156676)
69
+ 550 train 5.038591 (lr=2.3119e-03) (hash(x)=38553909)
70
+ 560 train 5.123151 (lr=2.3538e-03) (hash(x)=36555371)
71
+ 570 train 5.034472 (lr=2.3958e-03) (hash(x)=42048991)
72
+ 580 train 4.984976 (lr=2.4378e-03) (hash(x)=37359399)
73
+ 590 train 5.014435 (lr=2.4797e-03) (hash(x)=39254663)
74
+ 600 val loss 4.9659
75
+ 600 val perplexity 143.4342
76
+ 600 train 4.974978 (lr=2.5217e-03) (hash(x)=38982539)
77
+ 610 train 4.894670 (lr=2.5636e-03) (hash(x)=35859145)
78
+ 620 train 4.871717 (lr=2.6056e-03) (hash(x)=35593542)
79
+ 630 train 4.782814 (lr=2.6476e-03) (hash(x)=39124418)
80
+ 640 train 4.785481 (lr=2.6895e-03) (hash(x)=39107374)
81
+ 650 train 4.706285 (lr=2.7315e-03) (hash(x)=34529151)
82
+ 660 train 4.640212 (lr=2.7734e-03) (hash(x)=39483931)
83
+ 670 train 4.632927 (lr=2.8154e-03) (hash(x)=43008010)
84
+ 680 train 4.537527 (lr=2.8573e-03) (hash(x)=33469328)
85
+ 690 train 4.588211 (lr=2.8993e-03) (hash(x)=35025253)
86
+ 700 val loss 4.8250
87
+ 700 val perplexity 124.5886
88
+ 700 train 4.556521 (lr=2.9413e-03) (hash(x)=43280188)
89
+ 710 train 4.833277 (lr=2.9832e-03) (hash(x)=40999263)
90
+ 720 train 4.811520 (lr=3.0000e-03) (hash(x)=38304742)
91
+ 730 train 4.809467 (lr=2.9999e-03) (hash(x)=34705188)
92
+ 740 train 4.768872 (lr=2.9997e-03) (hash(x)=40028964)
93
+ 750 train 4.714300 (lr=2.9994e-03) (hash(x)=39051591)
94
+ 760 train 4.760598 (lr=2.9990e-03) (hash(x)=41286198)
95
+ 770 train 4.706518 (lr=2.9985e-03) (hash(x)=44512967)
96
+ 780 train 4.734346 (lr=2.9979e-03) (hash(x)=45171627)
97
+ 790 train 4.691314 (lr=2.9972e-03) (hash(x)=46345673)
98
+ 800 val loss 4.6912
99
+ 800 val perplexity 108.9889
100
+ 800 train 4.644244 (lr=2.9964e-03) (hash(x)=35529545)
101
+ 810 train 4.565139 (lr=2.9955e-03) (hash(x)=42321793)
102
+ 820 train 4.575098 (lr=2.9945e-03) (hash(x)=49327569)
103
+ 830 train 4.634554 (lr=2.9934e-03) (hash(x)=41325057)
104
+ 840 train 4.586401 (lr=2.9922e-03) (hash(x)=37305614)
105
+ 850 train 4.545828 (lr=2.9909e-03) (hash(x)=38000800)
106
+ 860 train 4.663953 (lr=2.9896e-03) (hash(x)=44047697)
107
+ 870 train 4.662125 (lr=2.9881e-03) (hash(x)=41576206)
108
+ 880 train 4.635697 (lr=2.9865e-03) (hash(x)=44685458)
109
+ 890 train 4.611574 (lr=2.9848e-03) (hash(x)=40398597)
110
+ 900 val loss 4.5901
111
+ 900 val perplexity 98.5045
112
+ 900 train 4.548840 (lr=2.9830e-03) (hash(x)=39312673)
113
+ 910 train 4.567556 (lr=2.9811e-03) (hash(x)=38881875)
114
+ 920 train 4.596035 (lr=2.9792e-03) (hash(x)=39140166)
115
+ 930 train 4.491934 (lr=2.9771e-03) (hash(x)=39075781)
116
+ 940 train 4.506648 (lr=2.9749e-03) (hash(x)=46887071)
117
+ 950 train 4.499703 (lr=2.9726e-03) (hash(x)=39740603)
118
+ 960 train 4.547374 (lr=2.9703e-03) (hash(x)=39590268)
119
+ 970 train 4.501882 (lr=2.9678e-03) (hash(x)=43580052)
120
+ 980 train 4.434399 (lr=2.9652e-03) (hash(x)=40226735)
121
+ 990 train 4.552347 (lr=2.9626e-03) (hash(x)=40723896)
122
+ 1000 val loss 4.5019
123
+ 1000 val perplexity 90.1839
124
+ 1000 train 4.505879 (lr=2.9598e-03) (hash(x)=39408050)
125
+ 1010 train 4.692636 (lr=2.9570e-03) (hash(x)=32247950)
126
+ 1020 train 4.579874 (lr=2.9540e-03) (hash(x)=39049938)
127
+ 1030 train 4.543331 (lr=2.9510e-03) (hash(x)=37453736)
128
+ 1040 train 4.446849 (lr=2.9478e-03) (hash(x)=36649666)
129
+ 1050 train 4.515313 (lr=2.9446e-03) (hash(x)=41404097)
130
+ 1060 train 4.500010 (lr=2.9412e-03) (hash(x)=40701599)
131
+ 1070 train 4.516894 (lr=2.9378e-03) (hash(x)=41787393)
132
+ 1080 train 4.409630 (lr=2.9343e-03) (hash(x)=42325465)
133
+ 1090 train 4.438365 (lr=2.9307e-03) (hash(x)=45018925)
134
+ 1100 val loss 4.4399
135
+ 1100 val perplexity 84.7682
136
+ 1100 train 4.462657 (lr=2.9270e-03) (hash(x)=53751982)
137
+ 1110 train 4.399000 (lr=2.9231e-03) (hash(x)=43118376)
138
+ 1120 train 4.416513 (lr=2.9192e-03) (hash(x)=41489942)
139
+ 1130 train 4.437737 (lr=2.9152e-03) (hash(x)=48020487)
140
+ 1140 train 4.298742 (lr=2.9112e-03) (hash(x)=43266072)
141
+ 1150 train 4.489886 (lr=2.9070e-03) (hash(x)=41790132)
142
+ 1160 train 4.467559 (lr=2.9027e-03) (hash(x)=33739090)
143
+ 1170 train 4.442004 (lr=2.8983e-03) (hash(x)=43885030)
144
+ 1180 train 4.384858 (lr=2.8939e-03) (hash(x)=39046714)
145
+ 1190 train 4.419068 (lr=2.8893e-03) (hash(x)=44387023)
146
+ 1200 val loss 4.3718
147
+ 1200 val perplexity 79.1833
148
+ 1200 train 4.286573 (lr=2.8847e-03) (hash(x)=36667141)
149
+ 1210 train 4.353990 (lr=2.8800e-03) (hash(x)=45487179)
150
+ 1220 train 4.331701 (lr=2.8751e-03) (hash(x)=43456413)
151
+ 1230 train 4.272091 (lr=2.8702e-03) (hash(x)=42473632)
152
+ 1240 train 4.342015 (lr=2.8652e-03) (hash(x)=42966315)
153
+ 1250 train 4.190812 (lr=2.8601e-03) (hash(x)=42930524)
154
+ 1260 train 4.343782 (lr=2.8550e-03) (hash(x)=43467676)
155
+ 1270 train 4.267526 (lr=2.8497e-03) (hash(x)=40872580)
156
+ 1280 train 4.339902 (lr=2.8443e-03) (hash(x)=40619157)
157
+ 1290 train 4.349125 (lr=2.8389e-03) (hash(x)=44406165)
158
+ 1300 val loss 4.3248
159
+ 1300 val perplexity 75.5474
160
+ 1300 train 4.307281 (lr=2.8333e-03) (hash(x)=40808029)
161
+ 1310 train 4.486207 (lr=2.8277e-03) (hash(x)=46125736)
162
+ 1320 train 4.247941 (lr=2.8220e-03) (hash(x)=41698487)
163
+ 1330 train 4.285345 (lr=2.8162e-03) (hash(x)=39302878)
164
+ 1340 train 4.395414 (lr=2.8103e-03) (hash(x)=41826369)
165
+ 1350 train 4.220033 (lr=2.8044e-03) (hash(x)=37061413)
166
+ 1360 train 4.335735 (lr=2.7983e-03) (hash(x)=40770974)
167
+ 1370 train 4.252682 (lr=2.7922e-03) (hash(x)=38738718)
168
+ 1380 train 4.250944 (lr=2.7860e-03) (hash(x)=34961558)
169
+ 1390 train 4.298656 (lr=2.7797e-03) (hash(x)=38559342)
170
+ 1400 val loss 4.3116
171
+ 1400 val perplexity 74.5625
172
+ 1400 train 4.251650 (lr=2.7733e-03) (hash(x)=38840020)
173
+ 1410 train 4.402140 (lr=2.7668e-03) (hash(x)=44448100)
174
+ 1420 train 4.466465 (lr=2.7603e-03) (hash(x)=39199838)
175
+ 1430 train 4.259842 (lr=2.7536e-03) (hash(x)=41669873)
176
+ 1440 train 4.390082 (lr=2.7469e-03) (hash(x)=53253836)
177
+ 1450 train 4.312635 (lr=2.7401e-03) (hash(x)=41320631)
178
+ 1460 train 4.232048 (lr=2.7333e-03) (hash(x)=48462803)
179
+ 1470 train 4.268204 (lr=2.7263e-03) (hash(x)=42356864)
180
+ 1480 train 4.316677 (lr=2.7193e-03) (hash(x)=41118068)
181
+ 1490 train 4.230459 (lr=2.7121e-03) (hash(x)=37242854)
182
+ 1500 val loss 4.2666
183
+ 1500 val perplexity 71.2790
184
+ 1500 train 4.281448 (lr=2.7050e-03) (hash(x)=40571031)
185
+ 1510 train 4.234043 (lr=2.6977e-03) (hash(x)=35384608)
186
+ 1520 train 4.257844 (lr=2.6903e-03) (hash(x)=35341056)
187
+ 1530 train 4.149653 (lr=2.6829e-03) (hash(x)=36471779)
188
+ 1540 train 4.184582 (lr=2.6754e-03) (hash(x)=40356153)
189
+ 1550 train 4.224337 (lr=2.6678e-03) (hash(x)=40133377)
190
+ 1560 train 4.159815 (lr=2.6602e-03) (hash(x)=33722160)
191
+ 1570 train 4.312656 (lr=2.6525e-03) (hash(x)=39555295)
192
+ 1580 train 4.205280 (lr=2.6447e-03) (hash(x)=35950666)
193
+ 1590 train 4.355979 (lr=2.6368e-03) (hash(x)=36528535)
194
+ 1600 val loss 4.2444
195
+ 1600 val perplexity 69.7115
196
+ 1600 train 4.250345 (lr=2.6289e-03) (hash(x)=42613017)
197
+ 1610 train 4.389450 (lr=2.6208e-03) (hash(x)=42845965)
198
+ 1620 train 4.265748 (lr=2.6128e-03) (hash(x)=36137074)
199
+ 1630 train 4.235407 (lr=2.6046e-03) (hash(x)=37560569)
200
+ 1640 train 4.334285 (lr=2.5964e-03) (hash(x)=43680614)
201
+ 1650 train 4.190715 (lr=2.5881e-03) (hash(x)=37281218)
202
+ 1660 train 4.217915 (lr=2.5797e-03) (hash(x)=36165222)
203
+ 1670 train 4.173058 (lr=2.5713e-03) (hash(x)=50222513)
204
+ 1680 train 4.061736 (lr=2.5628e-03) (hash(x)=35239173)
205
+ 1690 train 4.116037 (lr=2.5542e-03) (hash(x)=40287349)
206
+ 1700 val loss 4.2429
207
+ 1700 val perplexity 69.6082
208
+ 1700 train 4.296959 (lr=2.5455e-03) (hash(x)=37444780)
209
+ 1710 train 4.283777 (lr=2.5368e-03) (hash(x)=38962723)
210
+ 1720 train 4.286589 (lr=2.5281e-03) (hash(x)=33882305)
211
+ 1730 train 4.272825 (lr=2.5192e-03) (hash(x)=36501540)
212
+ 1740 train 4.258481 (lr=2.5103e-03) (hash(x)=38723266)
213
+ 1750 train 4.197708 (lr=2.5014e-03) (hash(x)=38772789)
214
+ 1760 train 4.270957 (lr=2.4924e-03) (hash(x)=37707898)
215
+ 1770 train 4.134932 (lr=2.4833e-03) (hash(x)=30529327)
216
+ 1780 train 4.226117 (lr=2.4741e-03) (hash(x)=37885464)
217
+ 1790 train 4.236801 (lr=2.4649e-03) (hash(x)=39013967)
218
+ 1800 val loss 4.2029
219
+ 1800 val perplexity 66.8769
220
+ 1800 train 4.269129 (lr=2.4556e-03) (hash(x)=34906955)
221
+ 1810 train 4.142943 (lr=2.4463e-03) (hash(x)=40790682)
222
+ 1820 train 4.017590 (lr=2.4369e-03) (hash(x)=39912223)
223
+ 1830 train 4.141323 (lr=2.4275e-03) (hash(x)=39304486)
224
+ 1840 train 4.117089 (lr=2.4180e-03) (hash(x)=37247975)
225
+ 1850 train 4.103705 (lr=2.4084e-03) (hash(x)=41340614)
226
+ 1860 train 4.257567 (lr=2.3988e-03) (hash(x)=39924627)
227
+ 1870 train 4.244602 (lr=2.3891e-03) (hash(x)=40235993)
228
+ 1880 train 4.129434 (lr=2.3794e-03) (hash(x)=37693476)
229
+ 1890 train 4.248002 (lr=2.3696e-03) (hash(x)=40449864)
230
+ 1900 val loss 4.1725
231
+ 1900 val perplexity 64.8805
232
+ 1900 train 4.153111 (lr=2.3598e-03) (hash(x)=37907749)
233
+ 1910 train 4.126679 (lr=2.3499e-03) (hash(x)=34547901)
234
+ 1920 train 4.160980 (lr=2.3400e-03) (hash(x)=37771788)
235
+ 1930 train 4.034368 (lr=2.3300e-03) (hash(x)=36049454)
236
+ 1940 train 4.126519 (lr=2.3200e-03) (hash(x)=29564336)
237
+ 1950 train 4.123081 (lr=2.3099e-03) (hash(x)=41689281)
238
+ 1960 train 4.030786 (lr=2.2998e-03) (hash(x)=41976699)
239
+ 1970 train 4.227383 (lr=2.2896e-03) (hash(x)=41538621)
240
+ 1980 train 4.113265 (lr=2.2793e-03) (hash(x)=36490902)
241
+ 1990 train 4.139394 (lr=2.2691e-03) (hash(x)=42739315)
242
+ 2000 val loss 4.1574
243
+ 2000 val perplexity 63.9025
244
+ 2000 train 4.158300 (lr=2.2588e-03) (hash(x)=38600074)
245
+ 2010 train 4.171566 (lr=2.2484e-03) (hash(x)=34555488)
246
+ 2020 train 4.189272 (lr=2.2380e-03) (hash(x)=37227345)
247
+ 2030 train 4.144486 (lr=2.2275e-03) (hash(x)=38172386)
248
+ 2040 train 4.260008 (lr=2.2170e-03) (hash(x)=39340786)
249
+ 2050 train 4.098997 (lr=2.2065e-03) (hash(x)=37237298)
250
+ 2060 train 4.332896 (lr=2.1959e-03) (hash(x)=35894782)
251
+ 2070 train 4.155857 (lr=2.1853e-03) (hash(x)=44161861)
252
+ 2080 train 4.171400 (lr=2.1746e-03) (hash(x)=38062558)
253
+ 2090 train 4.025641 (lr=2.1639e-03) (hash(x)=38608301)
254
+ 2100 val loss 4.1330
255
+ 2100 val perplexity 62.3639
256
+ 2100 train 4.052410 (lr=2.1532e-03) (hash(x)=47611537)
257
+ 2110 train 4.049445 (lr=2.1424e-03) (hash(x)=38076651)
258
+ 2120 train 4.061275 (lr=2.1316e-03) (hash(x)=39870893)
259
+ 2130 train 4.210128 (lr=2.1208e-03) (hash(x)=48123321)
260
+ 2140 train 4.237919 (lr=2.1099e-03) (hash(x)=44124977)
261
+ 2150 train 4.137288 (lr=2.0990e-03) (hash(x)=42181374)
262
+ 2160 train 4.164395 (lr=2.0881e-03) (hash(x)=41837878)
263
+ 2170 train 4.184943 (lr=2.0771e-03) (hash(x)=42161375)
264
+ 2180 train 4.148577 (lr=2.0661e-03) (hash(x)=41792986)
265
+ 2190 train 4.124620 (lr=2.0550e-03) (hash(x)=41872416)
266
+ 2200 val loss 4.1118
267
+ 2200 val perplexity 61.0580
268
+ 2200 train 4.098237 (lr=2.0440e-03) (hash(x)=37395985)
269
+ 2210 train 4.143160 (lr=2.0329e-03) (hash(x)=40616096)
270
+ 2220 train 4.045322 (lr=2.0217e-03) (hash(x)=40118423)
271
+ 2230 train 3.962627 (lr=2.0106e-03) (hash(x)=39641586)
272
+ 2240 train 4.057458 (lr=1.9994e-03) (hash(x)=34720116)
273
+ 2250 train 3.998838 (lr=1.9882e-03) (hash(x)=43641508)
274
+ 2260 train 4.017348 (lr=1.9770e-03) (hash(x)=31179786)
275
+ 2270 train 3.985637 (lr=1.9657e-03) (hash(x)=42721932)
276
+ 2280 train 4.314904 (lr=1.9544e-03) (hash(x)=38474505)
277
+ 2290 train 4.133130 (lr=1.9431e-03) (hash(x)=41398545)
278
+ 2300 val loss 4.0968
279
+ 2300 val perplexity 60.1479
280
+ 2300 train 4.064235 (lr=1.9318e-03) (hash(x)=44131094)
281
+ 2310 train 4.149623 (lr=1.9205e-03) (hash(x)=41667948)
282
+ 2320 train 4.223384 (lr=1.9091e-03) (hash(x)=36339232)
283
+ 2330 train 4.103671 (lr=1.8977e-03) (hash(x)=41630644)
284
+ 2340 train 4.190372 (lr=1.8863e-03) (hash(x)=41278955)
285
+ 2350 train 4.065812 (lr=1.8749e-03) (hash(x)=39491976)
286
+ 2360 train 4.129434 (lr=1.8635e-03) (hash(x)=41771238)
287
+ 2370 train 4.227660 (lr=1.8520e-03) (hash(x)=45374570)
288
+ 2380 train 4.100413 (lr=1.8406e-03) (hash(x)=41419267)
289
+ 2390 train 4.132681 (lr=1.8291e-03) (hash(x)=38869169)
290
+ 2400 val loss 4.0824
291
+ 2400 val perplexity 59.2848
292
+ 2400 train 4.035817 (lr=1.8176e-03) (hash(x)=38619293)
293
+ 2410 train 3.855524 (lr=1.8061e-03) (hash(x)=41600240)
294
+ 2420 train 3.987383 (lr=1.7946e-03) (hash(x)=40891045)
295
+ 2430 train 3.981406 (lr=1.7830e-03) (hash(x)=41023249)
296
+ 2440 train 3.951158 (lr=1.7715e-03) (hash(x)=33813452)
297
+ 2450 train 3.902886 (lr=1.7600e-03) (hash(x)=38464119)
298
+ 2460 train 3.800032 (lr=1.7484e-03) (hash(x)=40699982)
299
+ 2470 train 3.810787 (lr=1.7368e-03) (hash(x)=38254854)
300
+ 2480 train 4.091692 (lr=1.7253e-03) (hash(x)=42736069)
301
+ 2490 train 4.106712 (lr=1.7137e-03) (hash(x)=41928525)
302
+ 2500 val loss 4.0625
303
+ 2500 val perplexity 58.1168
304
+ 2500 train 4.060094 (lr=1.7021e-03) (hash(x)=45864011)
305
+ 2510 train 4.074696 (lr=1.6906e-03) (hash(x)=41380960)
306
+ 2520 train 4.072017 (lr=1.6790e-03) (hash(x)=38366545)
307
+ 2530 train 4.076136 (lr=1.6674e-03) (hash(x)=41045176)
308
+ 2540 train 4.100350 (lr=1.6558e-03) (hash(x)=43435705)
309
+ 2550 train 4.054909 (lr=1.6442e-03) (hash(x)=40693090)
310
+ 2560 train 3.978115 (lr=1.6326e-03) (hash(x)=40502478)
311
+ 2570 train 4.007861 (lr=1.6210e-03) (hash(x)=38610920)
312
+ 2580 train 3.930788 (lr=1.6094e-03) (hash(x)=38333499)
313
+ 2590 train 4.007747 (lr=1.5979e-03) (hash(x)=41982736)
314
+ 2600 val loss 4.0461
315
+ 2600 val perplexity 57.1748
316
+ 2600 train 3.983891 (lr=1.5863e-03) (hash(x)=37724702)
317
+ 2610 train 3.919455 (lr=1.5747e-03) (hash(x)=39564630)
318
+ 2620 train 3.868332 (lr=1.5632e-03) (hash(x)=38465803)
319
+ 2630 train 3.790631 (lr=1.5516e-03) (hash(x)=36955007)
320
+ 2640 train 3.826580 (lr=1.5400e-03) (hash(x)=32994568)
321
+ 2650 train 4.008616 (lr=1.5285e-03) (hash(x)=41165765)
322
+ 2660 train 4.026095 (lr=1.5170e-03) (hash(x)=42934000)
323
+ 2670 train 4.216868 (lr=1.5054e-03) (hash(x)=42726316)
324
+ 2680 train 4.106119 (lr=1.4939e-03) (hash(x)=35880318)
325
+ 2690 train 3.995173 (lr=1.4824e-03) (hash(x)=41747329)
326
+ 2700 val loss 4.0341
327
+ 2700 val perplexity 56.4925
328
+ 2700 train 4.109615 (lr=1.4709e-03) (hash(x)=40259630)
329
+ 2710 train 4.238426 (lr=1.4594e-03) (hash(x)=39895798)
330
+ 2720 train 3.970821 (lr=1.4480e-03) (hash(x)=36146683)
331
+ 2730 train 3.946948 (lr=1.4365e-03) (hash(x)=36181984)
332
+ 2740 train 3.925048 (lr=1.4251e-03) (hash(x)=43700349)
333
+ 2750 train 3.993594 (lr=1.4137e-03) (hash(x)=41610597)
334
+ 2760 train 3.976158 (lr=1.4023e-03) (hash(x)=31183639)
335
+ 2770 train 3.975878 (lr=1.3909e-03) (hash(x)=37722489)
336
+ 2780 train 3.923895 (lr=1.3795e-03) (hash(x)=47290688)
337
+ 2790 train 3.959231 (lr=1.3682e-03) (hash(x)=41205574)
338
+ 2800 val loss 4.0187
339
+ 2800 val perplexity 55.6278
340
+ 2800 train 3.809886 (lr=1.3569e-03) (hash(x)=40257962)
341
+ 2810 train 3.779978 (lr=1.3456e-03) (hash(x)=39529014)
342
+ 2820 train 3.807043 (lr=1.3343e-03) (hash(x)=42244749)
343
+ 2830 train 3.859970 (lr=1.3230e-03) (hash(x)=32820090)
344
+ 2840 train 3.821422 (lr=1.3118e-03) (hash(x)=40315769)
345
+ 2850 train 4.056644 (lr=1.3006e-03) (hash(x)=41524462)
346
+ 2860 train 4.053457 (lr=1.2894e-03) (hash(x)=38365734)
347
+ 2870 train 4.183412 (lr=1.2783e-03) (hash(x)=37682602)
348
+ 2880 train 4.040142 (lr=1.2671e-03) (hash(x)=39162991)
349
+ 2890 train 3.891808 (lr=1.2560e-03) (hash(x)=33316384)
350
+ 2900 val loss 3.9936
351
+ 2900 val perplexity 54.2483
352
+ 2900 train 3.938514 (lr=1.2450e-03) (hash(x)=37271132)
353
+ 2910 train 4.127862 (lr=1.2339e-03) (hash(x)=35586242)
354
+ 2920 train 4.016383 (lr=1.2229e-03) (hash(x)=33320586)
355
+ 2930 train 4.034910 (lr=1.2119e-03) (hash(x)=43531361)
356
+ 2940 train 3.922724 (lr=1.2010e-03) (hash(x)=37368286)
357
+ 2950 train 3.956801 (lr=1.1901e-03) (hash(x)=40363394)
358
+ 2960 train 3.918659 (lr=1.1792e-03) (hash(x)=42253792)
359
+ 2970 train 3.864536 (lr=1.1684e-03) (hash(x)=38072598)
360
+ 2980 train 3.935243 (lr=1.1576e-03) (hash(x)=41470557)
361
+ 2990 train 3.861188 (lr=1.1468e-03) (hash(x)=42600033)
362
+ 3000 val loss 3.9957
363
+ 3000 val perplexity 54.3627
364
+ 3000 train 3.814765 (lr=1.1361e-03) (hash(x)=46890983)
365
+ 3010 train 3.689838 (lr=1.1254e-03) (hash(x)=37986759)
366
+ 3020 train 3.809415 (lr=1.1147e-03) (hash(x)=36270703)
367
+ 3030 train 4.076195 (lr=1.1041e-03) (hash(x)=38228599)
368
+ 3040 train 3.923126 (lr=1.0935e-03) (hash(x)=44344296)
369
+ 3050 train 4.010682 (lr=1.0830e-03) (hash(x)=39962297)
370
+ 3060 train 3.996090 (lr=1.0725e-03) (hash(x)=39817394)
371
+ 3070 train 3.987874 (lr=1.0620e-03) (hash(x)=41763868)
372
+ 3080 train 4.075218 (lr=1.0516e-03) (hash(x)=42343051)
373
+ 3090 train 4.072269 (lr=1.0412e-03) (hash(x)=39204893)
374
+ 3100 val loss 3.9736
375
+ 3100 val perplexity 53.1733
376
+ 3100 train 3.972091 (lr=1.0309e-03) (hash(x)=39353599)
377
+ 3110 train 4.043045 (lr=1.0207e-03) (hash(x)=36118073)
378
+ 3120 train 3.744976 (lr=1.0104e-03) (hash(x)=44070271)
379
+ 3130 train 3.775086 (lr=1.0002e-03) (hash(x)=43368151)
380
+ 3140 train 3.846056 (lr=9.9011e-04) (hash(x)=40612203)
381
+ 3150 train 3.983657 (lr=9.8002e-04) (hash(x)=39598447)
382
+ 3160 train 4.031354 (lr=9.6999e-04) (hash(x)=43897682)
383
+ 3170 train 4.014885 (lr=9.6000e-04) (hash(x)=39029243)
384
+ 3180 train 4.027992 (lr=9.5007e-04) (hash(x)=38586684)
385
+ 3190 train 3.976160 (lr=9.4019e-04) (hash(x)=39299115)
386
+ 3200 val loss 3.9535
387
+ 3200 val perplexity 52.1195
388
+ 3200 train 4.006790 (lr=9.3036e-04) (hash(x)=41064949)
389
+ 3210 train 3.992687 (lr=9.2058e-04) (hash(x)=41752822)
390
+ 3220 train 3.999170 (lr=9.1085e-04) (hash(x)=37484805)
391
+ 3230 train 3.961420 (lr=9.0118e-04) (hash(x)=40514919)
392
+ 3240 train 4.015573 (lr=8.9157e-04) (hash(x)=42440343)
393
+ 3250 train 3.912661 (lr=8.8201e-04) (hash(x)=32464136)
394
+ 3260 train 3.933186 (lr=8.7251e-04) (hash(x)=47270558)
395
+ 3270 train 3.872588 (lr=8.6307e-04) (hash(x)=39307546)
396
+ 3280 train 3.909324 (lr=8.5368e-04) (hash(x)=40410299)
397
+ 3290 train 3.909868 (lr=8.4435e-04) (hash(x)=40541497)
398
+ 3300 val loss 3.9497
399
+ 3300 val perplexity 51.9198
400
+ 3300 train 3.811562 (lr=8.3508e-04) (hash(x)=38089139)
401
+ 3310 train 3.834441 (lr=8.2588e-04) (hash(x)=42006576)
402
+ 3320 train 3.933655 (lr=8.1673e-04) (hash(x)=40422556)
403
+ 3330 train 3.727860 (lr=8.0764e-04) (hash(x)=39021643)
404
+ 3340 train 3.986391 (lr=7.9862e-04) (hash(x)=40434305)
405
+ 3350 train 4.018830 (lr=7.8966e-04) (hash(x)=40833559)
406
+ 3360 train 4.008983 (lr=7.8076e-04) (hash(x)=40045231)
407
+ 3370 train 3.979122 (lr=7.7192e-04) (hash(x)=34668317)
408
+ 3380 train 3.974786 (lr=7.6315e-04) (hash(x)=42738568)
409
+ 3390 train 4.069242 (lr=7.5445e-04) (hash(x)=38980166)
410
+ 3400 val loss 3.9288
411
+ 3400 val perplexity 50.8447
412
+ 3400 train 3.977535 (lr=7.4581e-04) (hash(x)=43878176)
413
+ 3410 train 4.021632 (lr=7.3724e-04) (hash(x)=38201991)
414
+ 3420 train 3.996868 (lr=7.2874e-04) (hash(x)=34905889)
415
+ 3430 train 3.999416 (lr=7.2030e-04) (hash(x)=41680405)
416
+ 3440 train 3.958362 (lr=7.1193e-04) (hash(x)=39948184)
417
+ 3450 train 4.005110 (lr=7.0363e-04) (hash(x)=33623728)
418
+ 3460 train 3.879311 (lr=6.9541e-04) (hash(x)=41027647)
419
+ 3470 train 3.914343 (lr=6.8725e-04) (hash(x)=42779482)
420
+ 3480 train 3.929188 (lr=6.7916e-04) (hash(x)=41579288)
421
+ 3490 train 3.784218 (lr=6.7114e-04) (hash(x)=37174846)
422
+ 3500 val loss 3.9251
423
+ 3500 val perplexity 50.6572
424
+ 3500 train 3.666422 (lr=6.6320e-04) (hash(x)=37082090)
425
+ 3510 train 3.859459 (lr=6.5533e-04) (hash(x)=43131340)
426
+ 3520 train 3.773483 (lr=6.4753e-04) (hash(x)=42457250)
427
+ 3530 train 4.005833 (lr=6.3981e-04) (hash(x)=39504492)
428
+ 3540 train 3.950090 (lr=6.3216e-04) (hash(x)=36225997)
429
+ 3550 train 4.077513 (lr=6.2458e-04) (hash(x)=40912087)
430
+ 3560 train 3.918223 (lr=6.1708e-04) (hash(x)=41545925)
431
+ 3570 train 4.008511 (lr=6.0966e-04) (hash(x)=32553193)
432
+ 3580 train 3.849135 (lr=6.0231e-04) (hash(x)=38799856)
433
+ 3590 train 3.899063 (lr=5.9504e-04) (hash(x)=40772075)
434
+ 3600 val loss 3.9059
435
+ 3600 val perplexity 49.6934
436
+ 3600 train 3.940691 (lr=5.8785e-04) (hash(x)=39299903)
437
+ 3610 train 3.984987 (lr=5.8074e-04) (hash(x)=39503247)
438
+ 3620 train 3.876472 (lr=5.7370e-04) (hash(x)=38730668)
439
+ 3630 train 3.898947 (lr=5.6675e-04) (hash(x)=40503276)
440
+ 3640 train 3.906416 (lr=5.5987e-04) (hash(x)=36504573)
441
+ 3650 train 3.927413 (lr=5.5308e-04) (hash(x)=44903075)
442
+ 3660 train 3.838715 (lr=5.4636e-04) (hash(x)=33800148)
443
+ 3670 train 3.748708 (lr=5.3973e-04) (hash(x)=39404541)
444
+ 3680 train 3.690083 (lr=5.3318e-04) (hash(x)=44777432)
445
+ 3690 train 3.785449 (lr=5.2671e-04) (hash(x)=45649913)
446
+ 3700 val loss 3.9089
447
+ 3700 val perplexity 49.8420
448
+ 3700 train 3.912034 (lr=5.2033e-04) (hash(x)=33812537)
449
+ 3710 train 4.063459 (lr=5.1402e-04) (hash(x)=36161222)
450
+ 3720 train 3.940706 (lr=5.0780e-04) (hash(x)=43690616)
451
+ 3730 train 3.943777 (lr=5.0167e-04) (hash(x)=35462313)
452
+ 3740 train 4.239547 (lr=4.9562e-04) (hash(x)=44674254)
453
+ 3750 train 3.923401 (lr=4.8965e-04) (hash(x)=44276297)
454
+ 3760 train 3.965582 (lr=4.8377e-04) (hash(x)=38492178)
455
+ 3770 train 3.972372 (lr=4.7798e-04) (hash(x)=44347531)
456
+ 3780 train 3.890171 (lr=4.7227e-04) (hash(x)=33792059)
457
+ 3790 train 3.985312 (lr=4.6665e-04) (hash(x)=38549318)
458
+ 3800 val loss 3.8900
459
+ 3800 val perplexity 48.9103
460
+ 3800 train 3.863955 (lr=4.6112e-04) (hash(x)=41437448)
461
+ 3810 train 3.761268 (lr=4.5567e-04) (hash(x)=36656768)
462
+ 3820 train 3.924610 (lr=4.5031e-04) (hash(x)=46387893)
463
+ 3830 train 3.925606 (lr=4.4504e-04) (hash(x)=44312129)
464
+ 3840 train 3.845350 (lr=4.3986e-04) (hash(x)=40341896)
465
+ 3850 train 3.895096 (lr=4.3477e-04) (hash(x)=43589160)
466
+ 3860 train 3.879307 (lr=4.2977e-04) (hash(x)=40388945)
467
+ 3870 train 3.775086 (lr=4.2486e-04) (hash(x)=33336679)
468
+ 3880 train 3.872149 (lr=4.2004e-04) (hash(x)=37643311)
469
+ 3890 train 3.893352 (lr=4.1530e-04) (hash(x)=38272927)
470
+ 3900 val loss 3.8841
471
+ 3900 val perplexity 48.6254
472
+ 3900 train 3.839590 (lr=4.1066e-04) (hash(x)=41925748)
473
+ 3910 train 3.931871 (lr=4.0611e-04) (hash(x)=38377253)
474
+ 3920 train 3.936660 (lr=4.0166e-04) (hash(x)=41616611)
475
+ 3930 train 3.861547 (lr=3.9729e-04) (hash(x)=32301827)
476
+ 3940 train 3.913445 (lr=3.9302e-04) (hash(x)=47697363)
477
+ 3950 train 3.864818 (lr=3.8884e-04) (hash(x)=37867767)
478
+ 3960 train 3.862422 (lr=3.8475e-04) (hash(x)=37187295)
479
+ 3970 train 3.921323 (lr=3.8076e-04) (hash(x)=41952752)
480
+ 3980 train 3.886639 (lr=3.7685e-04) (hash(x)=38358660)
481
+ 3990 train 3.759061 (lr=3.7305e-04) (hash(x)=40207878)
482
+ 4000 val loss 3.8774
483
+ 4000 val perplexity 48.2989
484
+ 4000 train 3.844630 (lr=3.6933e-04) (hash(x)=39134015)
485
+ 4010 train 3.915227 (lr=3.6572e-04) (hash(x)=38313135)
486
+ 4020 train 3.849605 (lr=3.6219e-04) (hash(x)=40710513)
487
+ 4030 train 3.972448 (lr=3.5876e-04) (hash(x)=35530165)
488
+ 4040 train 3.897963 (lr=3.5543e-04) (hash(x)=39494066)
489
+ 4050 train 3.887172 (lr=3.5219e-04) (hash(x)=40861777)
490
+ 4060 train 3.869836 (lr=3.4905e-04) (hash(x)=36151939)
491
+ 4070 train 3.836619 (lr=3.4600e-04) (hash(x)=39008241)
492
+ 4080 train 3.920046 (lr=3.4305e-04) (hash(x)=40395746)
493
+ 4090 train 3.960508 (lr=3.4019e-04) (hash(x)=38855480)
494
+ 4100 val loss 3.8660
495
+ 4100 val perplexity 47.7499
496
+ 4100 train 3.897829 (lr=3.3744e-04) (hash(x)=45013254)
497
+ 4110 train 3.898789 (lr=3.3477e-04) (hash(x)=39934818)
498
+ 4120 train 3.902012 (lr=3.3221e-04) (hash(x)=33417705)
499
+ 4130 train 3.841103 (lr=3.2974e-04) (hash(x)=41267978)
500
+ 4140 train 3.832171 (lr=3.2737e-04) (hash(x)=38961609)
501
+ 4150 train 3.836895 (lr=3.2510e-04) (hash(x)=42173878)
502
+ 4160 train 3.803450 (lr=3.2292e-04) (hash(x)=36867405)
503
+ 4170 train 3.779681 (lr=3.2085e-04) (hash(x)=38991954)
504
+ 4180 train 3.839444 (lr=3.1887e-04) (hash(x)=39032592)
505
+ 4190 train 3.817605 (lr=3.1699e-04) (hash(x)=61329402)
506
+ 4200 val loss 3.8653
507
+ 4200 val perplexity 47.7195
508
+ 4200 train 3.832539 (lr=3.1520e-04) (hash(x)=40455200)
509
+ 4210 train 3.860580 (lr=3.1352e-04) (hash(x)=40913417)
510
+ 4220 train 3.892327 (lr=3.1193e-04) (hash(x)=38809704)
511
+ 4230 train 3.873990 (lr=3.1044e-04) (hash(x)=39560204)
512
+ 4240 train 3.875588 (lr=3.0905e-04) (hash(x)=41496549)
513
+ 4250 train 3.914592 (lr=3.0776e-04) (hash(x)=33994768)
514
+ 4260 train 3.905751 (lr=3.0657e-04) (hash(x)=39658687)
515
+ 4270 train 3.780612 (lr=3.0548e-04) (hash(x)=42583064)
516
+ 4280 train 3.843760 (lr=3.0449e-04) (hash(x)=40635811)
517
+ 4290 train 3.746257 (lr=3.0359e-04) (hash(x)=35313841)
518
+ 4300 val loss 3.8624
519
+ 4300 val perplexity 47.5781
520
+ 4300 train 3.925894 (lr=3.0280e-04) (hash(x)=39332245)
521
+ 4310 train 3.823099 (lr=3.0210e-04) (hash(x)=43732999)
522
+ 4320 train 3.831388 (lr=3.0150e-04) (hash(x)=40831835)
523
+ 4330 train 3.965256 (lr=3.0101e-04) (hash(x)=41813368)
524
+ 4340 train 3.866890 (lr=3.0061e-04) (hash(x)=36952586)
525
+ 4350 train 3.885179 (lr=3.0031e-04) (hash(x)=42470745)
526
+ 4360 train 3.818058 (lr=3.0011e-04) (hash(x)=39581495)
527
+ 4370 train 4.007745 (lr=3.0001e-04) (hash(x)=35914538)
528
+ 4374 val loss 3.8561
529
+ 4374 val perplexity 47.2823
att_conv_playground/h_small_heads_wd_seed_1339/model_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a08e8ff88badefb4dc8d1c9a6435d5a2ae568f11906bd324b9a6e988369a7663
3
+ size 97884362
att_conv_playground/h_small_heads_wd_seed_1339/optimizer_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:964ce9e956fcdca6ae4997aeeb616f8886141f9c3fe9a141916b5e273199c805
3
+ size 189491790