andrew-healey commited on
Commit
761a2e3
·
verified ·
1 Parent(s): 8fa1751

Upload folder using huggingface_hub

Browse files
12_head_baseline_lr_16e-4_head_dim_22/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_head_baseline_lr_16e-4_head_dim_22", "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": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 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": 0.0016, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "12_head_baseline_lr_16e-4"}
12_head_baseline_lr_16e-4_head_dim_22/dataloader_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ec6682852ed60a9d42cb4047300f65a04f87328c0ad7a4516be84d11b28f216
3
+ size 964
12_head_baseline_lr_16e-4_head_dim_22/log2.txt ADDED
@@ -0,0 +1,529 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 4375
2
+ 0 val loss 10.9076
3
+ 0 val perplexity 54591.7773
4
+ 0 train 10.908087 (lr=2.2378e-06) (hash(x)=93356070)
5
+ 10 train 10.585678 (lr=2.4615e-05) (hash(x)=91253010)
6
+ 20 train 10.376489 (lr=4.6993e-05) (hash(x)=74934453)
7
+ 30 train 10.221272 (lr=6.9371e-05) (hash(x)=79278034)
8
+ 40 train 9.966092 (lr=9.1748e-05) (hash(x)=80107892)
9
+ 50 train 9.673457 (lr=1.1413e-04) (hash(x)=70745428)
10
+ 60 train 9.364157 (lr=1.3650e-04) (hash(x)=80077589)
11
+ 70 train 8.911022 (lr=1.5888e-04) (hash(x)=76213766)
12
+ 80 train 8.597994 (lr=1.8126e-04) (hash(x)=83218328)
13
+ 90 train 8.255257 (lr=2.0364e-04) (hash(x)=74855845)
14
+ 100 val loss 7.9619
15
+ 100 val perplexity 2869.4958
16
+ 100 train 7.882020 (lr=2.2601e-04) (hash(x)=82814902)
17
+ 110 train 7.654025 (lr=2.4839e-04) (hash(x)=84907741)
18
+ 120 train 7.460617 (lr=2.7077e-04) (hash(x)=82613223)
19
+ 130 train 7.258423 (lr=2.9315e-04) (hash(x)=83540876)
20
+ 140 train 7.208622 (lr=3.1552e-04) (hash(x)=75095216)
21
+ 150 train 7.224401 (lr=3.3790e-04) (hash(x)=97190944)
22
+ 160 train 7.075915 (lr=3.6028e-04) (hash(x)=82117809)
23
+ 170 train 6.947970 (lr=3.8266e-04) (hash(x)=70514724)
24
+ 180 train 6.858750 (lr=4.0503e-04) (hash(x)=81029624)
25
+ 190 train 6.757197 (lr=4.2741e-04) (hash(x)=78996841)
26
+ 200 val loss 6.6985
27
+ 200 val perplexity 811.2219
28
+ 200 train 6.703852 (lr=4.4979e-04) (hash(x)=79845097)
29
+ 210 train 6.577518 (lr=4.7217e-04) (hash(x)=78997683)
30
+ 220 train 6.465341 (lr=4.9455e-04) (hash(x)=74895865)
31
+ 230 train 6.661087 (lr=5.1692e-04) (hash(x)=80933276)
32
+ 240 train 6.347452 (lr=5.3930e-04) (hash(x)=77664606)
33
+ 250 train 6.369431 (lr=5.6168e-04) (hash(x)=75903930)
34
+ 260 train 6.283101 (lr=5.8406e-04) (hash(x)=82996853)
35
+ 270 train 6.215262 (lr=6.0643e-04) (hash(x)=73269568)
36
+ 280 train 6.162675 (lr=6.2881e-04) (hash(x)=82906427)
37
+ 290 train 6.078569 (lr=6.5119e-04) (hash(x)=71797895)
38
+ 300 val loss 6.2113
39
+ 300 val perplexity 498.3498
40
+ 300 train 5.940141 (lr=6.7357e-04) (hash(x)=85232249)
41
+ 310 train 5.895428 (lr=6.9594e-04) (hash(x)=75252489)
42
+ 320 train 5.989726 (lr=7.1832e-04) (hash(x)=74394644)
43
+ 330 train 6.053756 (lr=7.4070e-04) (hash(x)=82772910)
44
+ 340 train 6.087182 (lr=7.6308e-04) (hash(x)=81627464)
45
+ 350 train 6.060582 (lr=7.8545e-04) (hash(x)=84678053)
46
+ 360 train 6.021919 (lr=8.0783e-04) (hash(x)=81884128)
47
+ 370 train 5.993815 (lr=8.3021e-04) (hash(x)=76379242)
48
+ 380 train 5.770981 (lr=8.5259e-04) (hash(x)=98182875)
49
+ 390 train 5.765016 (lr=8.7497e-04) (hash(x)=79710436)
50
+ 400 val loss 5.8146
51
+ 400 val perplexity 335.1635
52
+ 400 train 5.768349 (lr=8.9734e-04) (hash(x)=79841071)
53
+ 410 train 5.680778 (lr=9.1972e-04) (hash(x)=75844151)
54
+ 420 train 5.684371 (lr=9.4210e-04) (hash(x)=73125036)
55
+ 430 train 5.718620 (lr=9.6448e-04) (hash(x)=84214858)
56
+ 440 train 5.610497 (lr=9.8685e-04) (hash(x)=80456994)
57
+ 450 train 5.574496 (lr=1.0092e-03) (hash(x)=76735962)
58
+ 460 train 5.515234 (lr=1.0316e-03) (hash(x)=81845446)
59
+ 470 train 5.331460 (lr=1.0540e-03) (hash(x)=76094689)
60
+ 480 train 5.462737 (lr=1.0764e-03) (hash(x)=83806686)
61
+ 490 train 5.293181 (lr=1.0987e-03) (hash(x)=84690227)
62
+ 500 val loss 5.5773
63
+ 500 val perplexity 264.3541
64
+ 500 train 5.346482 (lr=1.1211e-03) (hash(x)=71851938)
65
+ 510 train 5.434687 (lr=1.1435e-03) (hash(x)=77159346)
66
+ 520 train 5.464775 (lr=1.1659e-03) (hash(x)=80755753)
67
+ 530 train 5.584145 (lr=1.1883e-03) (hash(x)=75379679)
68
+ 540 train 5.473958 (lr=1.2106e-03) (hash(x)=82458619)
69
+ 550 train 5.466833 (lr=1.2330e-03) (hash(x)=86366396)
70
+ 560 train 5.436893 (lr=1.2554e-03) (hash(x)=85095044)
71
+ 570 train 5.428627 (lr=1.2778e-03) (hash(x)=78385159)
72
+ 580 train 5.373922 (lr=1.3001e-03) (hash(x)=79342394)
73
+ 590 train 5.383455 (lr=1.3225e-03) (hash(x)=70782192)
74
+ 600 val loss 5.3651
75
+ 600 val perplexity 213.8199
76
+ 600 train 5.339742 (lr=1.3449e-03) (hash(x)=76130353)
77
+ 610 train 5.240526 (lr=1.3673e-03) (hash(x)=74778440)
78
+ 620 train 5.219110 (lr=1.3897e-03) (hash(x)=79129709)
79
+ 630 train 5.125548 (lr=1.4120e-03) (hash(x)=76469962)
80
+ 640 train 5.127736 (lr=1.4344e-03) (hash(x)=78288049)
81
+ 650 train 5.102682 (lr=1.4568e-03) (hash(x)=76641388)
82
+ 660 train 5.008476 (lr=1.4792e-03) (hash(x)=75937906)
83
+ 670 train 5.015782 (lr=1.5015e-03) (hash(x)=74807157)
84
+ 680 train 4.920259 (lr=1.5239e-03) (hash(x)=77490144)
85
+ 690 train 4.951772 (lr=1.5463e-03) (hash(x)=72900124)
86
+ 700 val loss 5.2004
87
+ 700 val perplexity 181.3505
88
+ 700 train 4.910363 (lr=1.5687e-03) (hash(x)=73424218)
89
+ 710 train 5.168519 (lr=1.5910e-03) (hash(x)=86052345)
90
+ 720 train 5.131242 (lr=1.6000e-03) (hash(x)=77462613)
91
+ 730 train 5.142790 (lr=1.5999e-03) (hash(x)=79027471)
92
+ 740 train 5.113450 (lr=1.5998e-03) (hash(x)=78149992)
93
+ 750 train 5.091600 (lr=1.5997e-03) (hash(x)=89147499)
94
+ 760 train 5.073165 (lr=1.5995e-03) (hash(x)=74931538)
95
+ 770 train 5.035950 (lr=1.5992e-03) (hash(x)=89648204)
96
+ 780 train 5.069626 (lr=1.5989e-03) (hash(x)=83708293)
97
+ 790 train 5.072124 (lr=1.5985e-03) (hash(x)=84336512)
98
+ 800 val loss 5.0365
99
+ 800 val perplexity 153.9309
100
+ 800 train 4.969589 (lr=1.5981e-03) (hash(x)=75025285)
101
+ 810 train 4.874999 (lr=1.5976e-03) (hash(x)=79436536)
102
+ 820 train 4.868384 (lr=1.5971e-03) (hash(x)=90467390)
103
+ 830 train 4.927909 (lr=1.5965e-03) (hash(x)=77292020)
104
+ 840 train 4.835528 (lr=1.5959e-03) (hash(x)=75568927)
105
+ 850 train 4.862949 (lr=1.5952e-03) (hash(x)=79671781)
106
+ 860 train 4.935530 (lr=1.5944e-03) (hash(x)=84280943)
107
+ 870 train 4.918903 (lr=1.5936e-03) (hash(x)=80901294)
108
+ 880 train 5.057272 (lr=1.5928e-03) (hash(x)=81437584)
109
+ 890 train 4.901940 (lr=1.5919e-03) (hash(x)=73893778)
110
+ 900 val loss 4.9172
111
+ 900 val perplexity 136.6255
112
+ 900 train 4.833457 (lr=1.5909e-03) (hash(x)=74987794)
113
+ 910 train 4.840896 (lr=1.5899e-03) (hash(x)=93721374)
114
+ 920 train 4.832560 (lr=1.5889e-03) (hash(x)=79149678)
115
+ 930 train 4.781965 (lr=1.5878e-03) (hash(x)=83179387)
116
+ 940 train 4.785013 (lr=1.5866e-03) (hash(x)=89009978)
117
+ 950 train 4.751117 (lr=1.5854e-03) (hash(x)=76483735)
118
+ 960 train 4.681861 (lr=1.5841e-03) (hash(x)=78638850)
119
+ 970 train 4.707286 (lr=1.5828e-03) (hash(x)=90415206)
120
+ 980 train 4.642100 (lr=1.5815e-03) (hash(x)=90819195)
121
+ 990 train 4.778181 (lr=1.5800e-03) (hash(x)=85938852)
122
+ 1000 val loss 4.7591
123
+ 1000 val perplexity 116.6384
124
+ 1000 train 4.812365 (lr=1.5786e-03) (hash(x)=82436789)
125
+ 1010 train 4.803889 (lr=1.5770e-03) (hash(x)=63022149)
126
+ 1020 train 4.754935 (lr=1.5755e-03) (hash(x)=83501199)
127
+ 1030 train 4.726191 (lr=1.5738e-03) (hash(x)=77093326)
128
+ 1040 train 4.594853 (lr=1.5722e-03) (hash(x)=73437559)
129
+ 1050 train 4.689940 (lr=1.5704e-03) (hash(x)=84550388)
130
+ 1060 train 4.693380 (lr=1.5687e-03) (hash(x)=86184566)
131
+ 1070 train 4.666758 (lr=1.5668e-03) (hash(x)=85644922)
132
+ 1080 train 4.602300 (lr=1.5650e-03) (hash(x)=86179801)
133
+ 1090 train 4.574203 (lr=1.5630e-03) (hash(x)=82868303)
134
+ 1100 val loss 4.6391
135
+ 1100 val perplexity 103.4526
136
+ 1100 train 4.671437 (lr=1.5610e-03) (hash(x)=96780388)
137
+ 1110 train 4.597684 (lr=1.5590e-03) (hash(x)=87223122)
138
+ 1120 train 4.568095 (lr=1.5569e-03) (hash(x)=77292786)
139
+ 1130 train 4.577935 (lr=1.5548e-03) (hash(x)=88761375)
140
+ 1140 train 4.496289 (lr=1.5526e-03) (hash(x)=80956468)
141
+ 1150 train 4.658935 (lr=1.5504e-03) (hash(x)=84725462)
142
+ 1160 train 4.643101 (lr=1.5481e-03) (hash(x)=76098113)
143
+ 1170 train 4.620548 (lr=1.5458e-03) (hash(x)=84387685)
144
+ 1180 train 4.562144 (lr=1.5434e-03) (hash(x)=76120321)
145
+ 1190 train 4.527261 (lr=1.5410e-03) (hash(x)=85974065)
146
+ 1200 val loss 4.5491
147
+ 1200 val perplexity 94.5462
148
+ 1200 train 4.433625 (lr=1.5385e-03) (hash(x)=79340644)
149
+ 1210 train 4.517334 (lr=1.5360e-03) (hash(x)=88345025)
150
+ 1220 train 4.429471 (lr=1.5334e-03) (hash(x)=86406230)
151
+ 1230 train 4.413530 (lr=1.5308e-03) (hash(x)=80608975)
152
+ 1240 train 4.465598 (lr=1.5281e-03) (hash(x)=81635225)
153
+ 1250 train 4.304112 (lr=1.5254e-03) (hash(x)=82126376)
154
+ 1260 train 4.471310 (lr=1.5226e-03) (hash(x)=83737972)
155
+ 1270 train 4.377076 (lr=1.5198e-03) (hash(x)=81132345)
156
+ 1280 train 4.466842 (lr=1.5170e-03) (hash(x)=85850404)
157
+ 1290 train 4.473235 (lr=1.5141e-03) (hash(x)=83490640)
158
+ 1300 val loss 4.4835
159
+ 1300 val perplexity 88.5476
160
+ 1300 train 4.456028 (lr=1.5111e-03) (hash(x)=77545187)
161
+ 1310 train 4.505247 (lr=1.5081e-03) (hash(x)=86412685)
162
+ 1320 train 4.396567 (lr=1.5051e-03) (hash(x)=86429640)
163
+ 1330 train 4.537487 (lr=1.5020e-03) (hash(x)=79645281)
164
+ 1340 train 4.487130 (lr=1.4989e-03) (hash(x)=82668541)
165
+ 1350 train 4.348321 (lr=1.4957e-03) (hash(x)=73627248)
166
+ 1360 train 4.439166 (lr=1.4924e-03) (hash(x)=74845133)
167
+ 1370 train 4.347093 (lr=1.4892e-03) (hash(x)=77850497)
168
+ 1380 train 4.367333 (lr=1.4859e-03) (hash(x)=76143954)
169
+ 1390 train 4.382529 (lr=1.4825e-03) (hash(x)=80675544)
170
+ 1400 val loss 4.4446
171
+ 1400 val perplexity 85.1666
172
+ 1400 train 4.357868 (lr=1.4791e-03) (hash(x)=76010938)
173
+ 1410 train 4.402906 (lr=1.4756e-03) (hash(x)=81260300)
174
+ 1420 train 4.514007 (lr=1.4721e-03) (hash(x)=83803629)
175
+ 1430 train 4.347075 (lr=1.4686e-03) (hash(x)=83840110)
176
+ 1440 train 4.540732 (lr=1.4650e-03) (hash(x)=97711831)
177
+ 1450 train 4.406323 (lr=1.4614e-03) (hash(x)=81110139)
178
+ 1460 train 4.334305 (lr=1.4577e-03) (hash(x)=90942839)
179
+ 1470 train 4.365466 (lr=1.4540e-03) (hash(x)=80721564)
180
+ 1480 train 4.466977 (lr=1.4503e-03) (hash(x)=77852059)
181
+ 1490 train 4.357713 (lr=1.4465e-03) (hash(x)=80011365)
182
+ 1500 val loss 4.3961
183
+ 1500 val perplexity 81.1324
184
+ 1500 train 4.386594 (lr=1.4426e-03) (hash(x)=84496142)
185
+ 1510 train 4.320297 (lr=1.4388e-03) (hash(x)=70186729)
186
+ 1520 train 4.342737 (lr=1.4348e-03) (hash(x)=74854227)
187
+ 1530 train 4.254687 (lr=1.4309e-03) (hash(x)=77468161)
188
+ 1540 train 4.270769 (lr=1.4269e-03) (hash(x)=87853059)
189
+ 1550 train 4.199529 (lr=1.4228e-03) (hash(x)=71225436)
190
+ 1560 train 4.302473 (lr=1.4188e-03) (hash(x)=84072783)
191
+ 1570 train 4.355700 (lr=1.4147e-03) (hash(x)=72723098)
192
+ 1580 train 4.367540 (lr=1.4105e-03) (hash(x)=90409866)
193
+ 1590 train 4.440462 (lr=1.4063e-03) (hash(x)=87481378)
194
+ 1600 val loss 4.3635
195
+ 1600 val perplexity 78.5312
196
+ 1600 train 4.420328 (lr=1.4021e-03) (hash(x)=77643862)
197
+ 1610 train 4.309007 (lr=1.3978e-03) (hash(x)=88862575)
198
+ 1620 train 4.331511 (lr=1.3935e-03) (hash(x)=84612581)
199
+ 1630 train 4.355415 (lr=1.3891e-03) (hash(x)=87075989)
200
+ 1640 train 4.241297 (lr=1.3847e-03) (hash(x)=88277361)
201
+ 1650 train 4.359631 (lr=1.3803e-03) (hash(x)=78750236)
202
+ 1660 train 4.286689 (lr=1.3758e-03) (hash(x)=82604581)
203
+ 1670 train 4.120634 (lr=1.3713e-03) (hash(x)=68482265)
204
+ 1680 train 4.243147 (lr=1.3668e-03) (hash(x)=75088835)
205
+ 1690 train 4.184025 (lr=1.3622e-03) (hash(x)=66060989)
206
+ 1700 val loss 4.3563
207
+ 1700 val perplexity 77.9717
208
+ 1700 train 4.350269 (lr=1.3576e-03) (hash(x)=79986754)
209
+ 1710 train 4.339150 (lr=1.3530e-03) (hash(x)=83657930)
210
+ 1720 train 4.278282 (lr=1.3483e-03) (hash(x)=81754135)
211
+ 1730 train 4.358900 (lr=1.3436e-03) (hash(x)=78904427)
212
+ 1740 train 4.269311 (lr=1.3389e-03) (hash(x)=85920177)
213
+ 1750 train 4.320100 (lr=1.3341e-03) (hash(x)=86573211)
214
+ 1760 train 4.271739 (lr=1.3293e-03) (hash(x)=81737128)
215
+ 1770 train 4.262326 (lr=1.3244e-03) (hash(x)=77400968)
216
+ 1780 train 4.277096 (lr=1.3195e-03) (hash(x)=73545497)
217
+ 1790 train 4.523623 (lr=1.3146e-03) (hash(x)=71641943)
218
+ 1800 val loss 4.3086
219
+ 1800 val perplexity 74.3364
220
+ 1800 train 4.368937 (lr=1.3097e-03) (hash(x)=87819781)
221
+ 1810 train 4.229906 (lr=1.3047e-03) (hash(x)=86870770)
222
+ 1820 train 4.238994 (lr=1.2997e-03) (hash(x)=82522211)
223
+ 1830 train 4.321395 (lr=1.2947e-03) (hash(x)=61947437)
224
+ 1840 train 4.203382 (lr=1.2896e-03) (hash(x)=79865406)
225
+ 1850 train 4.171458 (lr=1.2845e-03) (hash(x)=79828721)
226
+ 1860 train 4.307742 (lr=1.2794e-03) (hash(x)=80869571)
227
+ 1870 train 4.296415 (lr=1.2742e-03) (hash(x)=73780971)
228
+ 1880 train 4.255961 (lr=1.2690e-03) (hash(x)=79249549)
229
+ 1890 train 4.316472 (lr=1.2638e-03) (hash(x)=81041904)
230
+ 1900 val loss 4.2856
231
+ 1900 val perplexity 72.6490
232
+ 1900 train 4.381341 (lr=1.2586e-03) (hash(x)=82456430)
233
+ 1910 train 4.154871 (lr=1.2533e-03) (hash(x)=82222135)
234
+ 1920 train 4.186582 (lr=1.2480e-03) (hash(x)=70033249)
235
+ 1930 train 4.168818 (lr=1.2427e-03) (hash(x)=72887360)
236
+ 1940 train 4.218186 (lr=1.2373e-03) (hash(x)=83251100)
237
+ 1950 train 4.256623 (lr=1.2319e-03) (hash(x)=79660266)
238
+ 1960 train 4.139914 (lr=1.2265e-03) (hash(x)=78919068)
239
+ 1970 train 4.239873 (lr=1.2211e-03) (hash(x)=94690431)
240
+ 1980 train 4.079448 (lr=1.2157e-03) (hash(x)=88153756)
241
+ 1990 train 4.126514 (lr=1.2102e-03) (hash(x)=77195688)
242
+ 2000 val loss 4.2585
243
+ 2000 val perplexity 70.7026
244
+ 2000 train 4.226669 (lr=1.2047e-03) (hash(x)=81308591)
245
+ 2010 train 4.272140 (lr=1.1991e-03) (hash(x)=80205479)
246
+ 2020 train 4.186926 (lr=1.1936e-03) (hash(x)=81008704)
247
+ 2030 train 4.253856 (lr=1.1880e-03) (hash(x)=82914358)
248
+ 2040 train 4.266423 (lr=1.1824e-03) (hash(x)=88064399)
249
+ 2050 train 4.266945 (lr=1.1768e-03) (hash(x)=82889390)
250
+ 2060 train 4.332013 (lr=1.1712e-03) (hash(x)=80913554)
251
+ 2070 train 4.180688 (lr=1.1655e-03) (hash(x)=78121791)
252
+ 2080 train 4.310154 (lr=1.1598e-03) (hash(x)=75356657)
253
+ 2090 train 4.140240 (lr=1.1541e-03) (hash(x)=74048412)
254
+ 2100 val loss 4.2341
255
+ 2100 val perplexity 69.0009
256
+ 2100 train 4.061413 (lr=1.1484e-03) (hash(x)=68928225)
257
+ 2110 train 4.111023 (lr=1.1426e-03) (hash(x)=93734745)
258
+ 2120 train 4.108327 (lr=1.1369e-03) (hash(x)=72878164)
259
+ 2130 train 4.231514 (lr=1.1311e-03) (hash(x)=71508226)
260
+ 2140 train 4.188633 (lr=1.1253e-03) (hash(x)=84168671)
261
+ 2150 train 4.130698 (lr=1.1195e-03) (hash(x)=74673639)
262
+ 2160 train 4.275507 (lr=1.1136e-03) (hash(x)=75470031)
263
+ 2170 train 4.237580 (lr=1.1078e-03) (hash(x)=74307890)
264
+ 2180 train 4.350930 (lr=1.1019e-03) (hash(x)=77214245)
265
+ 2190 train 4.130011 (lr=1.0960e-03) (hash(x)=88628359)
266
+ 2200 val loss 4.2140
267
+ 2200 val perplexity 67.6297
268
+ 2200 train 4.150084 (lr=1.0901e-03) (hash(x)=74779126)
269
+ 2210 train 4.179159 (lr=1.0842e-03) (hash(x)=79817976)
270
+ 2220 train 4.136503 (lr=1.0783e-03) (hash(x)=75258996)
271
+ 2230 train 4.113448 (lr=1.0723e-03) (hash(x)=88164047)
272
+ 2240 train 4.096349 (lr=1.0663e-03) (hash(x)=78580686)
273
+ 2250 train 4.034373 (lr=1.0604e-03) (hash(x)=76510617)
274
+ 2260 train 4.113445 (lr=1.0544e-03) (hash(x)=76043966)
275
+ 2270 train 4.090684 (lr=1.0484e-03) (hash(x)=73062098)
276
+ 2280 train 4.314728 (lr=1.0424e-03) (hash(x)=81885909)
277
+ 2290 train 4.246823 (lr=1.0363e-03) (hash(x)=81481741)
278
+ 2300 val loss 4.1916
279
+ 2300 val perplexity 66.1310
280
+ 2300 train 4.107804 (lr=1.0303e-03) (hash(x)=82104275)
281
+ 2310 train 4.162648 (lr=1.0243e-03) (hash(x)=82137309)
282
+ 2320 train 4.138818 (lr=1.0182e-03) (hash(x)=86741167)
283
+ 2330 train 4.154326 (lr=1.0121e-03) (hash(x)=84796263)
284
+ 2340 train 4.121413 (lr=1.0060e-03) (hash(x)=169966529)
285
+ 2350 train 3.998680 (lr=9.9995e-04) (hash(x)=80006061)
286
+ 2360 train 4.055999 (lr=9.9385e-04) (hash(x)=71090999)
287
+ 2370 train 4.185889 (lr=9.8775e-04) (hash(x)=86641850)
288
+ 2380 train 4.082513 (lr=9.8163e-04) (hash(x)=84573253)
289
+ 2390 train 4.120616 (lr=9.7551e-04) (hash(x)=74483764)
290
+ 2400 val loss 4.1802
291
+ 2400 val perplexity 65.3820
292
+ 2400 train 4.088716 (lr=9.6938e-04) (hash(x)=78327659)
293
+ 2410 train 4.154675 (lr=9.6325e-04) (hash(x)=77273627)
294
+ 2420 train 4.019368 (lr=9.5710e-04) (hash(x)=76938049)
295
+ 2430 train 4.025048 (lr=9.5096e-04) (hash(x)=98449442)
296
+ 2440 train 3.882285 (lr=9.4480e-04) (hash(x)=78157797)
297
+ 2450 train 3.928544 (lr=9.3865e-04) (hash(x)=80637582)
298
+ 2460 train 3.914698 (lr=9.3248e-04) (hash(x)=80023854)
299
+ 2470 train 3.977319 (lr=9.2632e-04) (hash(x)=86678884)
300
+ 2480 train 4.200157 (lr=9.2015e-04) (hash(x)=84086469)
301
+ 2490 train 4.220301 (lr=9.1398e-04) (hash(x)=83131141)
302
+ 2500 val loss 4.1579
303
+ 2500 val perplexity 63.9364
304
+ 2500 train 4.135242 (lr=9.0780e-04) (hash(x)=82583497)
305
+ 2510 train 4.196637 (lr=9.0163e-04) (hash(x)=79164326)
306
+ 2520 train 4.106903 (lr=8.9545e-04) (hash(x)=76456503)
307
+ 2530 train 4.162382 (lr=8.8927e-04) (hash(x)=82001228)
308
+ 2540 train 4.199288 (lr=8.8309e-04) (hash(x)=75615595)
309
+ 2550 train 4.142393 (lr=8.7691e-04) (hash(x)=78397869)
310
+ 2560 train 4.144168 (lr=8.7073e-04) (hash(x)=75547032)
311
+ 2570 train 4.062757 (lr=8.6455e-04) (hash(x)=89201025)
312
+ 2580 train 4.045299 (lr=8.5837e-04) (hash(x)=89856704)
313
+ 2590 train 4.052350 (lr=8.5220e-04) (hash(x)=82175682)
314
+ 2600 val loss 4.1391
315
+ 2600 val perplexity 62.7448
316
+ 2600 train 4.059687 (lr=8.4602e-04) (hash(x)=78312826)
317
+ 2610 train 4.052433 (lr=8.3985e-04) (hash(x)=77066588)
318
+ 2620 train 3.889783 (lr=8.3368e-04) (hash(x)=78666061)
319
+ 2630 train 3.893958 (lr=8.2752e-04) (hash(x)=93762143)
320
+ 2640 train 3.910841 (lr=8.2135e-04) (hash(x)=83191587)
321
+ 2650 train 3.834166 (lr=8.1520e-04) (hash(x)=87169585)
322
+ 2660 train 4.044852 (lr=8.0904e-04) (hash(x)=86426388)
323
+ 2670 train 4.188488 (lr=8.0290e-04) (hash(x)=76692638)
324
+ 2680 train 4.100641 (lr=7.9675e-04) (hash(x)=77446063)
325
+ 2690 train 4.100773 (lr=7.9062e-04) (hash(x)=79809050)
326
+ 2700 val loss 4.1368
327
+ 2700 val perplexity 62.6026
328
+ 2700 train 4.028737 (lr=7.8449e-04) (hash(x)=83116823)
329
+ 2710 train 4.145290 (lr=7.7837e-04) (hash(x)=75622148)
330
+ 2720 train 4.066750 (lr=7.7225e-04) (hash(x)=80690512)
331
+ 2730 train 4.141237 (lr=7.6615e-04) (hash(x)=78009984)
332
+ 2740 train 4.093812 (lr=7.6005e-04) (hash(x)=74205488)
333
+ 2750 train 4.098813 (lr=7.5396e-04) (hash(x)=91013332)
334
+ 2760 train 4.022225 (lr=7.4788e-04) (hash(x)=76954961)
335
+ 2770 train 4.033100 (lr=7.4181e-04) (hash(x)=79390317)
336
+ 2780 train 3.899426 (lr=7.3575e-04) (hash(x)=70168783)
337
+ 2790 train 4.061967 (lr=7.2970e-04) (hash(x)=76028417)
338
+ 2800 val loss 4.1149
339
+ 2800 val perplexity 61.2437
340
+ 2800 train 3.887700 (lr=7.2366e-04) (hash(x)=77656050)
341
+ 2810 train 3.931183 (lr=7.1763e-04) (hash(x)=94248216)
342
+ 2820 train 3.998085 (lr=7.1162e-04) (hash(x)=78305078)
343
+ 2830 train 3.911000 (lr=7.0562e-04) (hash(x)=79948848)
344
+ 2840 train 3.776920 (lr=6.9963e-04) (hash(x)=85341024)
345
+ 2850 train 4.082932 (lr=6.9365e-04) (hash(x)=78735170)
346
+ 2860 train 4.332425 (lr=6.8769e-04) (hash(x)=71616419)
347
+ 2870 train 4.105308 (lr=6.8174e-04) (hash(x)=78656517)
348
+ 2880 train 4.120984 (lr=6.7581e-04) (hash(x)=80073987)
349
+ 2890 train 4.046520 (lr=6.6989e-04) (hash(x)=76894809)
350
+ 2900 val loss 4.0910
351
+ 2900 val perplexity 59.7982
352
+ 2900 train 4.024076 (lr=6.6398e-04) (hash(x)=80499838)
353
+ 2910 train 4.078043 (lr=6.5810e-04) (hash(x)=72673354)
354
+ 2920 train 4.060029 (lr=6.5222e-04) (hash(x)=84265768)
355
+ 2930 train 4.088078 (lr=6.4637e-04) (hash(x)=79612060)
356
+ 2940 train 3.945648 (lr=6.4053e-04) (hash(x)=74970087)
357
+ 2950 train 4.095040 (lr=6.3471e-04) (hash(x)=84166818)
358
+ 2960 train 4.084397 (lr=6.2891e-04) (hash(x)=89410221)
359
+ 2970 train 4.026107 (lr=6.2313e-04) (hash(x)=75672566)
360
+ 2980 train 3.882633 (lr=6.1737e-04) (hash(x)=81760314)
361
+ 2990 train 3.855840 (lr=6.1162e-04) (hash(x)=80605200)
362
+ 3000 val loss 4.0906
363
+ 3000 val perplexity 59.7777
364
+ 3000 train 3.855405 (lr=6.0590e-04) (hash(x)=83804735)
365
+ 3010 train 3.787741 (lr=6.0019e-04) (hash(x)=77015303)
366
+ 3020 train 3.848751 (lr=5.9451e-04) (hash(x)=81464523)
367
+ 3030 train 4.049000 (lr=5.8884e-04) (hash(x)=80168230)
368
+ 3040 train 3.989383 (lr=5.8320e-04) (hash(x)=84817006)
369
+ 3050 train 4.096107 (lr=5.7758e-04) (hash(x)=71601811)
370
+ 3060 train 4.013893 (lr=5.7199e-04) (hash(x)=85499733)
371
+ 3070 train 4.070004 (lr=5.6641e-04) (hash(x)=78670408)
372
+ 3080 train 3.962082 (lr=5.6086e-04) (hash(x)=77120468)
373
+ 3090 train 4.069730 (lr=5.5533e-04) (hash(x)=77927426)
374
+ 3100 val loss 4.0709
375
+ 3100 val perplexity 58.6076
376
+ 3100 train 4.076867 (lr=5.4983e-04) (hash(x)=83998606)
377
+ 3110 train 3.980214 (lr=5.4435e-04) (hash(x)=77990218)
378
+ 3120 train 3.895679 (lr=5.3889e-04) (hash(x)=81623970)
379
+ 3130 train 3.870850 (lr=5.3346e-04) (hash(x)=75014781)
380
+ 3140 train 3.925586 (lr=5.2806e-04) (hash(x)=72591250)
381
+ 3150 train 3.941037 (lr=5.2268e-04) (hash(x)=81421847)
382
+ 3160 train 3.988408 (lr=5.1733e-04) (hash(x)=75112631)
383
+ 3170 train 4.084939 (lr=5.1200e-04) (hash(x)=87518033)
384
+ 3180 train 3.935179 (lr=5.0670e-04) (hash(x)=78648348)
385
+ 3190 train 4.055359 (lr=5.0143e-04) (hash(x)=78270029)
386
+ 3200 val loss 4.0538
387
+ 3200 val perplexity 57.6161
388
+ 3200 train 4.127747 (lr=4.9619e-04) (hash(x)=83380714)
389
+ 3210 train 4.309574 (lr=4.9097e-04) (hash(x)=67804991)
390
+ 3220 train 4.039835 (lr=4.8579e-04) (hash(x)=76968804)
391
+ 3230 train 3.974635 (lr=4.8063e-04) (hash(x)=75798670)
392
+ 3240 train 4.049366 (lr=4.7550e-04) (hash(x)=83192811)
393
+ 3250 train 3.985260 (lr=4.7041e-04) (hash(x)=81659789)
394
+ 3260 train 4.026311 (lr=4.6534e-04) (hash(x)=80622502)
395
+ 3270 train 3.996602 (lr=4.6030e-04) (hash(x)=85436511)
396
+ 3280 train 3.938594 (lr=4.5530e-04) (hash(x)=80589180)
397
+ 3290 train 4.083184 (lr=4.5032e-04) (hash(x)=85747193)
398
+ 3300 val loss 4.0503
399
+ 3300 val perplexity 57.4118
400
+ 3300 train 3.947705 (lr=4.4538e-04) (hash(x)=74635692)
401
+ 3310 train 3.935607 (lr=4.4047e-04) (hash(x)=82045455)
402
+ 3320 train 3.805819 (lr=4.3559e-04) (hash(x)=73249173)
403
+ 3330 train 3.764654 (lr=4.3074e-04) (hash(x)=71492338)
404
+ 3340 train 4.097351 (lr=4.2593e-04) (hash(x)=76374071)
405
+ 3350 train 4.063389 (lr=4.2115e-04) (hash(x)=80474064)
406
+ 3360 train 3.974170 (lr=4.1640e-04) (hash(x)=84390892)
407
+ 3370 train 4.025730 (lr=4.1169e-04) (hash(x)=83399949)
408
+ 3380 train 4.074488 (lr=4.0702e-04) (hash(x)=77648059)
409
+ 3390 train 4.046433 (lr=4.0237e-04) (hash(x)=80152701)
410
+ 3400 val loss 4.0309
411
+ 3400 val perplexity 56.3093
412
+ 3400 train 4.097097 (lr=3.9777e-04) (hash(x)=81952545)
413
+ 3410 train 4.057642 (lr=3.9320e-04) (hash(x)=80908993)
414
+ 3420 train 4.097146 (lr=3.8866e-04) (hash(x)=79610037)
415
+ 3430 train 3.959424 (lr=3.8416e-04) (hash(x)=87624382)
416
+ 3440 train 4.020471 (lr=3.7970e-04) (hash(x)=82336381)
417
+ 3450 train 3.993855 (lr=3.7527e-04) (hash(x)=87687835)
418
+ 3460 train 3.997487 (lr=3.7088e-04) (hash(x)=76376135)
419
+ 3470 train 3.913195 (lr=3.6653e-04) (hash(x)=79331391)
420
+ 3480 train 3.820508 (lr=3.6222e-04) (hash(x)=107002681)
421
+ 3490 train 3.900601 (lr=3.5794e-04) (hash(x)=77465514)
422
+ 3500 val loss 4.0277
423
+ 3500 val perplexity 56.1303
424
+ 3500 train 3.864505 (lr=3.5371e-04) (hash(x)=88237229)
425
+ 3510 train 3.933035 (lr=3.4951e-04) (hash(x)=81011739)
426
+ 3520 train 3.978884 (lr=3.4535e-04) (hash(x)=64643427)
427
+ 3530 train 4.257866 (lr=3.4123e-04) (hash(x)=78029539)
428
+ 3540 train 4.091689 (lr=3.3715e-04) (hash(x)=83188968)
429
+ 3550 train 4.111199 (lr=3.3311e-04) (hash(x)=86104185)
430
+ 3560 train 4.039367 (lr=3.2911e-04) (hash(x)=81993629)
431
+ 3570 train 4.005911 (lr=3.2515e-04) (hash(x)=72719368)
432
+ 3580 train 4.020073 (lr=3.2123e-04) (hash(x)=90091487)
433
+ 3590 train 3.909998 (lr=3.1736e-04) (hash(x)=77393152)
434
+ 3600 val loss 4.0113
435
+ 3600 val perplexity 55.2171
436
+ 3600 train 4.010381 (lr=3.1352e-04) (hash(x)=73103504)
437
+ 3610 train 4.018916 (lr=3.0973e-04) (hash(x)=84429400)
438
+ 3620 train 3.989973 (lr=3.0598e-04) (hash(x)=77021795)
439
+ 3630 train 3.944215 (lr=3.0227e-04) (hash(x)=92830605)
440
+ 3640 train 4.141769 (lr=2.9860e-04) (hash(x)=78313175)
441
+ 3650 train 3.938523 (lr=2.9498e-04) (hash(x)=85395549)
442
+ 3660 train 3.739498 (lr=2.9139e-04) (hash(x)=78114459)
443
+ 3670 train 3.862650 (lr=2.8786e-04) (hash(x)=74968316)
444
+ 3680 train 3.785945 (lr=2.8436e-04) (hash(x)=73358737)
445
+ 3690 train 3.897454 (lr=2.8091e-04) (hash(x)=76399442)
446
+ 3700 val loss 4.0121
447
+ 3700 val perplexity 55.2625
448
+ 3700 train 3.899099 (lr=2.7751e-04) (hash(x)=74039273)
449
+ 3710 train 4.074997 (lr=2.7415e-04) (hash(x)=79299680)
450
+ 3720 train 3.988784 (lr=2.7083e-04) (hash(x)=94701498)
451
+ 3730 train 4.064685 (lr=2.6756e-04) (hash(x)=75352071)
452
+ 3740 train 3.944776 (lr=2.6433e-04) (hash(x)=77909487)
453
+ 3750 train 4.048639 (lr=2.6115e-04) (hash(x)=73986730)
454
+ 3760 train 4.009073 (lr=2.5801e-04) (hash(x)=79325763)
455
+ 3770 train 4.055683 (lr=2.5492e-04) (hash(x)=72457818)
456
+ 3780 train 4.194738 (lr=2.5188e-04) (hash(x)=71775590)
457
+ 3790 train 4.080719 (lr=2.4888e-04) (hash(x)=82638943)
458
+ 3800 val loss 3.9975
459
+ 3800 val perplexity 54.4634
460
+ 3800 train 4.051365 (lr=2.4593e-04) (hash(x)=79965893)
461
+ 3810 train 3.984003 (lr=2.4302e-04) (hash(x)=72598235)
462
+ 3820 train 3.971364 (lr=2.4017e-04) (hash(x)=83113889)
463
+ 3830 train 4.032384 (lr=2.3736e-04) (hash(x)=74434590)
464
+ 3840 train 3.946350 (lr=2.3459e-04) (hash(x)=82860348)
465
+ 3850 train 3.877332 (lr=2.3188e-04) (hash(x)=78067565)
466
+ 3860 train 3.951835 (lr=2.2921e-04) (hash(x)=82592498)
467
+ 3870 train 3.879313 (lr=2.2659e-04) (hash(x)=81820733)
468
+ 3880 train 3.898666 (lr=2.2402e-04) (hash(x)=87709040)
469
+ 3890 train 3.942389 (lr=2.2150e-04) (hash(x)=70379093)
470
+ 3900 val loss 3.9914
471
+ 3900 val perplexity 54.1314
472
+ 3900 train 4.068113 (lr=2.1902e-04) (hash(x)=76597431)
473
+ 3910 train 3.954017 (lr=2.1659e-04) (hash(x)=90490716)
474
+ 3920 train 4.053467 (lr=2.1422e-04) (hash(x)=81970659)
475
+ 3930 train 4.042645 (lr=2.1189e-04) (hash(x)=81496334)
476
+ 3940 train 4.017247 (lr=2.0961e-04) (hash(x)=75717605)
477
+ 3950 train 3.962715 (lr=2.0738e-04) (hash(x)=82749357)
478
+ 3960 train 3.993573 (lr=2.0520e-04) (hash(x)=89355157)
479
+ 3970 train 3.950773 (lr=2.0307e-04) (hash(x)=78980403)
480
+ 3980 train 3.922743 (lr=2.0099e-04) (hash(x)=76627217)
481
+ 3990 train 3.922173 (lr=1.9896e-04) (hash(x)=72412879)
482
+ 4000 val loss 3.9867
483
+ 4000 val perplexity 53.8785
484
+ 4000 train 3.931885 (lr=1.9698e-04) (hash(x)=83018142)
485
+ 4010 train 3.952560 (lr=1.9505e-04) (hash(x)=81272436)
486
+ 4020 train 3.878798 (lr=1.9317e-04) (hash(x)=85497482)
487
+ 4030 train 3.956520 (lr=1.9134e-04) (hash(x)=85241734)
488
+ 4040 train 3.920720 (lr=1.8956e-04) (hash(x)=77925307)
489
+ 4050 train 3.915101 (lr=1.8783e-04) (hash(x)=84826179)
490
+ 4060 train 3.975927 (lr=1.8616e-04) (hash(x)=83606764)
491
+ 4070 train 3.894283 (lr=1.8453e-04) (hash(x)=80567590)
492
+ 4080 train 3.937540 (lr=1.8296e-04) (hash(x)=76860998)
493
+ 4090 train 3.976709 (lr=1.8144e-04) (hash(x)=74902328)
494
+ 4100 val loss 3.9764
495
+ 4100 val perplexity 53.3233
496
+ 4100 train 4.019157 (lr=1.7997e-04) (hash(x)=82832041)
497
+ 4110 train 3.904457 (lr=1.7855e-04) (hash(x)=79143262)
498
+ 4120 train 3.923243 (lr=1.7718e-04) (hash(x)=77038149)
499
+ 4130 train 4.110155 (lr=1.7586e-04) (hash(x)=86339074)
500
+ 4140 train 4.176855 (lr=1.7460e-04) (hash(x)=76686216)
501
+ 4150 train 3.951987 (lr=1.7339e-04) (hash(x)=70522682)
502
+ 4160 train 3.914981 (lr=1.7223e-04) (hash(x)=90958555)
503
+ 4170 train 3.939883 (lr=1.7112e-04) (hash(x)=91463532)
504
+ 4180 train 3.928339 (lr=1.7006e-04) (hash(x)=81959329)
505
+ 4190 train 3.889983 (lr=1.6906e-04) (hash(x)=83146752)
506
+ 4200 val loss 3.9782
507
+ 4200 val perplexity 53.4199
508
+ 4200 train 3.868438 (lr=1.6811e-04) (hash(x)=78361715)
509
+ 4210 train 4.020553 (lr=1.6721e-04) (hash(x)=87364889)
510
+ 4220 train 3.872207 (lr=1.6636e-04) (hash(x)=70465156)
511
+ 4230 train 4.025944 (lr=1.6557e-04) (hash(x)=84524081)
512
+ 4240 train 3.982625 (lr=1.6483e-04) (hash(x)=77824868)
513
+ 4250 train 3.992648 (lr=1.6414e-04) (hash(x)=81710711)
514
+ 4260 train 3.971971 (lr=1.6350e-04) (hash(x)=76362728)
515
+ 4270 train 3.964435 (lr=1.6292e-04) (hash(x)=83115208)
516
+ 4280 train 3.878161 (lr=1.6239e-04) (hash(x)=87218314)
517
+ 4290 train 4.036193 (lr=1.6192e-04) (hash(x)=74582673)
518
+ 4300 val loss 3.9740
519
+ 4300 val perplexity 53.1946
520
+ 4300 train 3.913922 (lr=1.6149e-04) (hash(x)=77379615)
521
+ 4310 train 3.888834 (lr=1.6112e-04) (hash(x)=78669579)
522
+ 4320 train 4.008819 (lr=1.6080e-04) (hash(x)=83066608)
523
+ 4330 train 3.970701 (lr=1.6054e-04) (hash(x)=83037340)
524
+ 4340 train 4.010625 (lr=1.6032e-04) (hash(x)=82849771)
525
+ 4350 train 3.946967 (lr=1.6017e-04) (hash(x)=76693985)
526
+ 4360 train 4.031130 (lr=1.6006e-04) (hash(x)=77745394)
527
+ 4370 train 3.991888 (lr=1.6001e-04) (hash(x)=79954388)
528
+ 4374 val loss 3.9683
529
+ 4374 val perplexity 52.8972
12_head_baseline_lr_16e-4_head_dim_22/model_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62a4a342aa370ebdfa889e2ebb3b670295b57068c5c660a8ccdd10e3a9ab8609
3
+ size 96858242
12_head_baseline_lr_16e-4_head_dim_22/optimizer_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8be828784248db2bb874d69a732aefbe7734a963dc4dbe5adad9693e539bb81f
3
+ size 187435910