andrew-healey commited on
Commit
7d4e373
·
verified ·
1 Parent(s): c81c95c

Upload folder using huggingface_hub

Browse files
attention_kindself_n_heads2_seed1338/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindself_n_heads2_seed1338", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_4", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1338, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": true, "mup_enable_coord_check_logging": false, "max_lr": 5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "0.5e-4_30720_2_1338", "n_embd": 128}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_4/attention_kindself_n_heads2_seed1338", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 2, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 10000, "warmup_steps": 200, "group": "wider_is_better_4", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1338, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 120, "total_batch_size": 30720, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": null, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": true, "mup_enable_coord_check_logging": false, "max_lr": 3e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3e-5_30720_2_1338", "n_embd": 128}
attention_kindself_n_heads2_seed1338/log2.txt CHANGED
@@ -1,303 +1,303 @@
1
  max_steps: 10000
2
  0 val loss 11.7416
3
  0 val perplexity 125697.3672
4
- 0 train 11.753315 (lr=2.5000e-07) (hash(x)=150327452)
5
- 100 val loss 10.3420
6
- 100 val perplexity 31008.8418
7
- 100 train 10.328853 (lr=2.5250e-05) (hash(x)=166441190)
8
- 200 val loss 9.3460
9
- 200 val perplexity 11452.9824
10
- 200 train 9.453581 (lr=5.0000e-05) (hash(x)=166780046)
11
- 300 val loss 8.4134
12
- 300 val perplexity 4507.2549
13
- 300 train 8.403763 (lr=4.9988e-05) (hash(x)=159835303)
14
- 400 val loss 7.9846
15
- 400 val perplexity 2935.4409
16
- 400 train 7.832768 (lr=4.9954e-05) (hash(x)=155040610)
17
- 500 val loss 7.7774
18
- 500 val perplexity 2386.0586
19
- 500 train 7.562558 (lr=4.9896e-05) (hash(x)=130190460)
20
- 600 val loss 7.6696
21
- 600 val perplexity 2142.2061
22
- 600 train 7.707840 (lr=4.9815e-05) (hash(x)=155504036)
23
- 700 val loss 7.6034
24
- 700 val perplexity 2005.0209
25
- 700 train 7.450253 (lr=4.9712e-05) (hash(x)=137347213)
26
- 800 val loss 7.5625
27
- 800 val perplexity 1924.6025
28
- 800 train 7.433071 (lr=4.9585e-05) (hash(x)=143823248)
29
- 900 val loss 7.5305
30
- 900 val perplexity 1864.0834
31
- 900 train 7.644044 (lr=4.9436e-05) (hash(x)=156260416)
32
- 1000 val loss 7.5082
33
- 1000 val perplexity 1822.9496
34
- 1000 train 7.477904 (lr=4.9264e-05) (hash(x)=143734685)
35
- 1100 val loss 7.4909
36
- 1100 val perplexity 1791.7383
37
- 1100 train 7.440104 (lr=4.9070e-05) (hash(x)=160013925)
38
- 1200 val loss 7.4746
39
- 1200 val perplexity 1762.7366
40
- 1200 train 7.243001 (lr=4.8854e-05) (hash(x)=150678249)
41
- 1300 val loss 7.4591
42
- 1300 val perplexity 1735.6089
43
- 1300 train 7.257017 (lr=4.8616e-05) (hash(x)=149073315)
44
- 1400 val loss 7.4199
45
- 1400 val perplexity 1668.8872
46
- 1400 train 7.819283 (lr=4.8356e-05) (hash(x)=175802021)
47
- 1500 val loss 7.3796
48
- 1500 val perplexity 1603.0197
49
- 1500 train 7.631110 (lr=4.8074e-05) (hash(x)=171034639)
50
- 1600 val loss 7.3561
51
- 1600 val perplexity 1565.6826
52
- 1600 train 7.582740 (lr=4.7772e-05) (hash(x)=158681215)
53
- 1700 val loss 7.3446
54
- 1700 val perplexity 1547.8124
55
- 1700 train 7.297821 (lr=4.7448e-05) (hash(x)=152116061)
56
- 1800 val loss 7.3153
57
- 1800 val perplexity 1503.1793
58
- 1800 train 7.247635 (lr=4.7105e-05) (hash(x)=146108145)
59
- 1900 val loss 7.3141
60
- 1900 val perplexity 1501.3834
61
- 1900 train 7.144433 (lr=4.6741e-05) (hash(x)=147598108)
62
- 2000 val loss 7.2828
63
- 2000 val perplexity 1455.0540
64
- 2000 train 7.159031 (lr=4.6357e-05) (hash(x)=154996086)
65
- 2100 val loss 7.2758
66
- 2100 val perplexity 1444.8994
67
- 2100 train 7.088547 (lr=4.5954e-05) (hash(x)=153396183)
68
- 2200 val loss 7.2541
69
- 2200 val perplexity 1413.9039
70
- 2200 train 7.251993 (lr=4.5532e-05) (hash(x)=153885445)
71
- 2300 val loss 7.2741
72
- 2300 val perplexity 1442.4404
73
- 2300 train 7.256250 (lr=4.5091e-05) (hash(x)=159666385)
74
- 2400 val loss 7.2112
75
- 2400 val perplexity 1354.4802
76
- 2400 train 7.179773 (lr=4.4633e-05) (hash(x)=142353087)
77
- 2500 val loss 7.2195
78
- 2500 val perplexity 1365.7396
79
- 2500 train 7.236165 (lr=4.4156e-05) (hash(x)=146491718)
80
- 2600 val loss 7.1954
81
- 2600 val perplexity 1333.2642
82
- 2600 train 7.147064 (lr=4.3663e-05) (hash(x)=150750353)
83
- 2700 val loss 7.1977
84
- 2700 val perplexity 1336.3307
85
- 2700 train 6.934301 (lr=4.3153e-05) (hash(x)=129849193)
86
- 2800 val loss 7.1808
87
- 2800 val perplexity 1313.9878
88
- 2800 train 7.054011 (lr=4.2627e-05) (hash(x)=152767913)
89
- 2900 val loss 7.1768
90
- 2900 val perplexity 1308.7028
91
- 2900 train 6.983736 (lr=4.2085e-05) (hash(x)=146531140)
92
- 3000 val loss 7.1609
93
- 3000 val perplexity 1288.1282
94
- 3000 train 7.214781 (lr=4.1529e-05) (hash(x)=151562048)
95
- 3100 val loss 7.1527
96
- 3100 val perplexity 1277.4952
97
- 3100 train 7.144102 (lr=4.0957e-05) (hash(x)=146001424)
98
- 3200 val loss 7.1358
99
- 3200 val perplexity 1256.1335
100
- 3200 train 7.131488 (lr=4.0373e-05) (hash(x)=166486165)
101
- 3300 val loss 7.1202
102
- 3300 val perplexity 1236.6389
103
- 3300 train 7.046004 (lr=3.9775e-05) (hash(x)=150866680)
104
- 3400 val loss 7.1299
105
- 3400 val perplexity 1248.7705
106
- 3400 train 7.053288 (lr=3.9164e-05) (hash(x)=143900419)
107
- 3500 val loss 7.1033
108
- 3500 val perplexity 1215.9182
109
- 3500 train 6.957945 (lr=3.8541e-05) (hash(x)=148845794)
110
- 3600 val loss 7.1090
111
- 3600 val perplexity 1222.8630
112
- 3600 train 6.980226 (lr=3.7907e-05) (hash(x)=145667796)
113
- 3700 val loss 7.1050
114
- 3700 val perplexity 1218.0392
115
- 3700 train 7.114458 (lr=3.7262e-05) (hash(x)=163563851)
116
- 3800 val loss 7.1221
117
- 3800 val perplexity 1239.0602
118
- 3800 train 7.084368 (lr=3.6608e-05) (hash(x)=147488689)
119
- 3900 val loss 7.1000
120
- 3900 val perplexity 1211.9652
121
- 3900 train 7.077944 (lr=3.5944e-05) (hash(x)=148186608)
122
- 4000 val loss 7.1020
123
- 4000 val perplexity 1214.4360
124
- 4000 train 6.946519 (lr=3.5271e-05) (hash(x)=142970187)
125
- 4100 val loss 7.0786
126
- 4100 val perplexity 1186.2617
127
- 4100 train 7.081099 (lr=3.4590e-05) (hash(x)=141584883)
128
- 4200 val loss 7.0843
129
- 4200 val perplexity 1193.0679
130
- 4200 train 6.903859 (lr=3.3902e-05) (hash(x)=145664585)
131
- 4300 val loss 7.0775
132
- 4300 val perplexity 1184.9812
133
- 4300 train 6.921177 (lr=3.3207e-05) (hash(x)=143736499)
134
- 4400 val loss 7.0813
135
- 4400 val perplexity 1189.5664
136
- 4400 train 6.910584 (lr=3.2507e-05) (hash(x)=151883322)
137
- 4500 val loss 7.0931
138
- 4500 val perplexity 1203.6604
139
- 4500 train 7.027113 (lr=3.1801e-05) (hash(x)=153904871)
140
- 4600 val loss 7.0660
141
- 4600 val perplexity 1171.4612
142
- 4600 train 7.100923 (lr=3.1091e-05) (hash(x)=154893521)
143
- 4700 val loss 7.0486
144
- 4700 val perplexity 1151.2043
145
- 4700 train 7.120266 (lr=3.0377e-05) (hash(x)=152323949)
146
- 4800 val loss 7.0417
147
- 4800 val perplexity 1143.3562
148
- 4800 train 6.989632 (lr=2.9661e-05) (hash(x)=154104619)
149
- 4900 val loss 7.0359
150
- 4900 val perplexity 1136.7014
151
- 4900 train 7.077444 (lr=2.8942e-05) (hash(x)=146311426)
152
- 5000 val loss 7.0312
153
- 5000 val perplexity 1131.3464
154
- 5000 train 7.074374 (lr=2.8221e-05) (hash(x)=156741847)
155
- 5100 val loss 7.0339
156
- 5100 val perplexity 1134.4683
157
- 5100 train 6.836224 (lr=2.7500e-05) (hash(x)=142086346)
158
- 5200 val loss 7.0282
159
- 5200 val perplexity 1127.9674
160
- 5200 train 6.841303 (lr=2.6779e-05) (hash(x)=150265428)
161
- 5300 val loss 7.0328
162
- 5300 val perplexity 1133.2178
163
- 5300 train 6.949815 (lr=2.6058e-05) (hash(x)=151339108)
164
- 5400 val loss 7.0233
165
- 5400 val perplexity 1122.4384
166
- 5400 train 7.012791 (lr=2.5339e-05) (hash(x)=154654372)
167
- 5500 val loss 7.0070
168
- 5500 val perplexity 1104.3318
169
- 5500 train 6.992548 (lr=2.4623e-05) (hash(x)=150575051)
170
- 5600 val loss 7.0122
171
- 5600 val perplexity 1110.1151
172
- 5600 train 6.907769 (lr=2.3909e-05) (hash(x)=140396423)
173
- 5700 val loss 6.9910
174
- 5700 val perplexity 1086.8059
175
- 5700 train 6.885193 (lr=2.3199e-05) (hash(x)=144678758)
176
- 5800 val loss 6.9951
177
- 5800 val perplexity 1091.2894
178
- 5800 train 7.114344 (lr=2.2493e-05) (hash(x)=151992743)
179
- 5900 val loss 6.9942
180
- 5900 val perplexity 1090.2992
181
- 5900 train 6.799440 (lr=2.1793e-05) (hash(x)=144396927)
182
- 6000 val loss 6.9799
183
- 6000 val perplexity 1074.8026
184
- 6000 train 6.948314 (lr=2.1098e-05) (hash(x)=165478625)
185
- 6100 val loss 6.9931
186
- 6100 val perplexity 1089.1113
187
- 6100 train 6.789269 (lr=2.0410e-05) (hash(x)=147088621)
188
- 6200 val loss 6.9827
189
- 6200 val perplexity 1077.7745
190
- 6200 train 6.811790 (lr=1.9729e-05) (hash(x)=140794994)
191
- 6300 val loss 6.9733
192
- 6300 val perplexity 1067.7700
193
- 6300 train 6.887860 (lr=1.9056e-05) (hash(x)=134780906)
194
- 6400 val loss 6.9637
195
- 6400 val perplexity 1057.5562
196
- 6400 train 6.974144 (lr=1.8392e-05) (hash(x)=149023655)
197
- 6500 val loss 6.9550
198
- 6500 val perplexity 1048.3354
199
- 6500 train 6.833264 (lr=1.7738e-05) (hash(x)=147497796)
200
- 6600 val loss 6.9554
201
- 6600 val perplexity 1048.7729
202
- 6600 train 6.844741 (lr=1.7093e-05) (hash(x)=152902689)
203
- 6700 val loss 6.9507
204
- 6700 val perplexity 1043.9287
205
- 6700 train 7.012224 (lr=1.6459e-05) (hash(x)=153846046)
206
- 6800 val loss 6.9446
207
- 6800 val perplexity 1037.5162
208
- 6800 train 7.072952 (lr=1.5836e-05) (hash(x)=158512738)
209
- 6900 val loss 6.9373
210
- 6900 val perplexity 1029.9656
211
- 6900 train 7.254258 (lr=1.5225e-05) (hash(x)=156849968)
212
- 7000 val loss 6.9460
213
- 7000 val perplexity 1038.9885
214
- 7000 train 6.769375 (lr=1.4627e-05) (hash(x)=142395855)
215
- 7100 val loss 6.9355
216
- 7100 val perplexity 1028.1099
217
- 7100 train 6.835872 (lr=1.4043e-05) (hash(x)=147114884)
218
- 7200 val loss 6.9281
219
- 7200 val perplexity 1020.5371
220
- 7200 train 6.944231 (lr=1.3471e-05) (hash(x)=156979839)
221
- 7300 val loss 6.9315
222
- 7300 val perplexity 1023.9854
223
- 7300 train 6.715333 (lr=1.2915e-05) (hash(x)=145584373)
224
- 7400 val loss 6.9387
225
- 7400 val perplexity 1031.4105
226
- 7400 train 6.686437 (lr=1.2373e-05) (hash(x)=141508204)
227
- 7500 val loss 6.9232
228
- 7500 val perplexity 1015.5560
229
- 7500 train 6.973086 (lr=1.1847e-05) (hash(x)=148803965)
230
- 7600 val loss 6.9176
231
- 7600 val perplexity 1009.8733
232
- 7600 train 6.958951 (lr=1.1337e-05) (hash(x)=151019676)
233
- 7700 val loss 6.9107
234
- 7700 val perplexity 1002.9551
235
- 7700 train 6.883573 (lr=1.0844e-05) (hash(x)=143155750)
236
- 7800 val loss 6.9094
237
- 7800 val perplexity 1001.6260
238
- 7800 train 6.919430 (lr=1.0367e-05) (hash(x)=152569653)
239
- 7900 val loss 6.9066
240
- 7900 val perplexity 998.8763
241
- 7900 train 6.761757 (lr=9.9088e-06) (hash(x)=143519455)
242
- 8000 val loss 6.9058
243
- 8000 val perplexity 998.0589
244
- 8000 train 7.089988 (lr=9.4682e-06) (hash(x)=161180944)
245
- 8100 val loss 6.9017
246
- 8100 val perplexity 993.9507
247
- 8100 train 6.942193 (lr=9.0461e-06) (hash(x)=154107345)
248
- 8200 val loss 6.9020
249
- 8200 val perplexity 994.2878
250
- 8200 train 6.913141 (lr=8.6430e-06) (hash(x)=152486517)
251
- 8300 val loss 6.8937
252
- 8300 val perplexity 986.0807
253
- 8300 train 6.929050 (lr=8.2593e-06) (hash(x)=156167749)
254
- 8400 val loss 6.8926
255
- 8400 val perplexity 984.9684
256
- 8400 train 6.948983 (lr=7.8953e-06) (hash(x)=149155006)
257
- 8500 val loss 6.8884
258
- 8500 val perplexity 980.8519
259
- 8500 train 6.867157 (lr=7.5515e-06) (hash(x)=147844390)
260
- 8600 val loss 6.8855
261
- 8600 val perplexity 978.0273
262
- 8600 train 7.149722 (lr=7.2282e-06) (hash(x)=165753320)
263
- 8700 val loss 6.8860
264
- 8700 val perplexity 978.4308
265
- 8700 train 6.695945 (lr=6.9257e-06) (hash(x)=146079979)
266
- 8800 val loss 6.8852
267
- 8800 val perplexity 977.6963
268
- 8800 train 7.105085 (lr=6.6444e-06) (hash(x)=172259509)
269
- 8900 val loss 6.8825
270
- 8900 val perplexity 975.0267
271
- 8900 train 6.578733 (lr=6.3845e-06) (hash(x)=145148314)
272
- 9000 val loss 6.8882
273
- 9000 val perplexity 980.6425
274
- 9000 train 6.826063 (lr=6.1462e-06) (hash(x)=144250633)
275
- 9100 val loss 6.8776
276
- 9100 val perplexity 970.2793
277
- 9100 train 6.986150 (lr=5.9300e-06) (hash(x)=157219797)
278
- 9200 val loss 6.8739
279
- 9200 val perplexity 966.7206
280
- 9200 train 6.840438 (lr=5.7359e-06) (hash(x)=142743778)
281
- 9300 val loss 6.8724
282
- 9300 val perplexity 965.2374
283
- 9300 train 6.752581 (lr=5.5641e-06) (hash(x)=139669771)
284
- 9400 val loss 6.8700
285
- 9400 val perplexity 962.9398
286
- 9400 train 6.804702 (lr=5.4149e-06) (hash(x)=145916843)
287
- 9500 val loss 6.8689
288
- 9500 val perplexity 961.9329
289
- 9500 train 6.787594 (lr=5.2884e-06) (hash(x)=150196125)
290
- 9600 val loss 6.8722
291
- 9600 val perplexity 965.0754
292
- 9600 train 7.153524 (lr=5.1847e-06) (hash(x)=160041419)
293
- 9700 val loss 6.8670
294
- 9700 val perplexity 960.0651
295
- 9700 train 6.683146 (lr=5.1040e-06) (hash(x)=139931627)
296
- 9800 val loss 6.8644
297
- 9800 val perplexity 957.5345
298
- 9800 train 6.816484 (lr=5.0462e-06) (hash(x)=150370792)
299
- 9900 val loss 6.8633
300
- 9900 val perplexity 956.5634
301
- 9900 train 6.752453 (lr=5.0116e-06) (hash(x)=153014886)
302
- 9999 val loss 6.8622
303
- 9999 val perplexity 955.4310
 
1
  max_steps: 10000
2
  0 val loss 11.7416
3
  0 val perplexity 125697.3672
4
+ 0 train 11.753315 (lr=1.5000e-07) (hash(x)=150327452)
5
+ 100 val loss 10.4564
6
+ 100 val perplexity 34767.2266
7
+ 100 train 10.447220 (lr=1.5150e-05) (hash(x)=166441190)
8
+ 200 val loss 9.8938
9
+ 200 val perplexity 19806.2168
10
+ 200 train 9.974361 (lr=3.0000e-05) (hash(x)=166780046)
11
+ 300 val loss 8.9664
12
+ 300 val perplexity 7835.0234
13
+ 300 train 8.965942 (lr=2.9993e-05) (hash(x)=159835303)
14
+ 400 val loss 8.4649
15
+ 400 val perplexity 4745.4341
16
+ 400 train 8.350051 (lr=2.9972e-05) (hash(x)=155040610)
17
+ 500 val loss 8.1630
18
+ 500 val perplexity 3508.5935
19
+ 500 train 8.007442 (lr=2.9938e-05) (hash(x)=130190460)
20
+ 600 val loss 7.9528
21
+ 600 val perplexity 2843.6174
22
+ 600 train 8.010097 (lr=2.9889e-05) (hash(x)=155504036)
23
+ 700 val loss 7.8085
24
+ 700 val perplexity 2461.4197
25
+ 700 train 7.697314 (lr=2.9827e-05) (hash(x)=137347213)
26
+ 800 val loss 7.7243
27
+ 800 val perplexity 2262.5676
28
+ 800 train 7.606063 (lr=2.9751e-05) (hash(x)=143823248)
29
+ 900 val loss 7.6723
30
+ 900 val perplexity 2147.9226
31
+ 900 train 7.780948 (lr=2.9662e-05) (hash(x)=156260416)
32
+ 1000 val loss 7.6323
33
+ 1000 val perplexity 2063.8354
34
+ 1000 train 7.610696 (lr=2.9558e-05) (hash(x)=143734685)
35
+ 1100 val loss 7.6053
36
+ 1100 val perplexity 2008.8862
37
+ 1100 train 7.565187 (lr=2.9442e-05) (hash(x)=160013925)
38
+ 1200 val loss 7.5891
39
+ 1200 val perplexity 1976.4996
40
+ 1200 train 7.392840 (lr=2.9312e-05) (hash(x)=150678249)
41
+ 1300 val loss 7.5770
42
+ 1300 val perplexity 1952.6896
43
+ 1300 train 7.409501 (lr=2.9169e-05) (hash(x)=149073315)
44
+ 1400 val loss 7.5394
45
+ 1400 val perplexity 1880.6127
46
+ 1400 train 7.974899 (lr=2.9013e-05) (hash(x)=175802021)
47
+ 1500 val loss 7.5057
48
+ 1500 val perplexity 1818.3042
49
+ 1500 train 7.747274 (lr=2.8845e-05) (hash(x)=171034639)
50
+ 1600 val loss 7.4841
51
+ 1600 val perplexity 1779.5776
52
+ 1600 train 7.699660 (lr=2.8663e-05) (hash(x)=158681215)
53
+ 1700 val loss 7.4604
54
+ 1700 val perplexity 1737.9037
55
+ 1700 train 7.422320 (lr=2.8469e-05) (hash(x)=152116061)
56
+ 1800 val loss 7.4415
57
+ 1800 val perplexity 1705.2765
58
+ 1800 train 7.385502 (lr=2.8263e-05) (hash(x)=146108145)
59
+ 1900 val loss 7.4210
60
+ 1900 val perplexity 1670.7145
61
+ 1900 train 7.272210 (lr=2.8044e-05) (hash(x)=147598108)
62
+ 2000 val loss 7.4019
63
+ 2000 val perplexity 1639.0876
64
+ 2000 train 7.276218 (lr=2.7814e-05) (hash(x)=154996086)
65
+ 2100 val loss 7.3911
66
+ 2100 val perplexity 1621.4485
67
+ 2100 train 7.192940 (lr=2.7572e-05) (hash(x)=153396183)
68
+ 2200 val loss 7.3393
69
+ 2200 val perplexity 1539.6034
70
+ 2200 train 7.329708 (lr=2.7319e-05) (hash(x)=153885445)
71
+ 2300 val loss 7.3191
72
+ 2300 val perplexity 1508.8842
73
+ 2300 train 7.300901 (lr=2.7055e-05) (hash(x)=159666385)
74
+ 2400 val loss 7.2834
75
+ 2400 val perplexity 1455.9938
76
+ 2400 train 7.237995 (lr=2.6780e-05) (hash(x)=142353087)
77
+ 2500 val loss 7.2604
78
+ 2500 val perplexity 1422.8267
79
+ 2500 train 7.265779 (lr=2.6494e-05) (hash(x)=146491718)
80
+ 2600 val loss 7.2472
81
+ 2600 val perplexity 1404.1697
82
+ 2600 train 7.196903 (lr=2.6198e-05) (hash(x)=150750353)
83
+ 2700 val loss 7.2248
84
+ 2700 val perplexity 1373.0660
85
+ 2700 train 6.951437 (lr=2.5892e-05) (hash(x)=129849193)
86
+ 2800 val loss 7.2092
87
+ 2800 val perplexity 1351.7651
88
+ 2800 train 7.081229 (lr=2.5576e-05) (hash(x)=152767913)
89
+ 2900 val loss 7.1980
90
+ 2900 val perplexity 1336.7666
91
+ 2900 train 6.993177 (lr=2.5251e-05) (hash(x)=146531140)
92
+ 3000 val loss 7.1672
93
+ 3000 val perplexity 1296.2114
94
+ 3000 train 7.227105 (lr=2.4917e-05) (hash(x)=151562048)
95
+ 3100 val loss 7.1410
96
+ 3100 val perplexity 1262.7070
97
+ 3100 train 7.134817 (lr=2.4574e-05) (hash(x)=146001424)
98
+ 3200 val loss 7.1243
99
+ 3200 val perplexity 1241.7686
100
+ 3200 train 7.119705 (lr=2.4224e-05) (hash(x)=166486165)
101
+ 3300 val loss 7.1074
102
+ 3300 val perplexity 1220.9246
103
+ 3300 train 7.034734 (lr=2.3865e-05) (hash(x)=150866680)
104
+ 3400 val loss 7.1016
105
+ 3400 val perplexity 1213.9016
106
+ 3400 train 7.019073 (lr=2.3498e-05) (hash(x)=143900419)
107
+ 3500 val loss 7.0881
108
+ 3500 val perplexity 1197.5924
109
+ 3500 train 6.940794 (lr=2.3125e-05) (hash(x)=148845794)
110
+ 3600 val loss 7.0806
111
+ 3600 val perplexity 1188.7073
112
+ 3600 train 6.947712 (lr=2.2744e-05) (hash(x)=145667796)
113
+ 3700 val loss 7.0681
114
+ 3700 val perplexity 1173.8868
115
+ 3700 train 7.084729 (lr=2.2357e-05) (hash(x)=163563851)
116
+ 3800 val loss 7.0660
117
+ 3800 val perplexity 1171.4529
118
+ 3800 train 7.021557 (lr=2.1965e-05) (hash(x)=147488689)
119
+ 3900 val loss 7.0489
120
+ 3900 val perplexity 1151.5602
121
+ 3900 train 7.024464 (lr=2.1566e-05) (hash(x)=148186608)
122
+ 4000 val loss 7.0363
123
+ 4000 val perplexity 1137.1958
124
+ 4000 train 6.876589 (lr=2.1162e-05) (hash(x)=142970187)
125
+ 4100 val loss 7.0211
126
+ 4100 val perplexity 1120.0314
127
+ 4100 train 7.025841 (lr=2.0754e-05) (hash(x)=141584883)
128
+ 4200 val loss 7.0113
129
+ 4200 val perplexity 1109.0807
130
+ 4200 train 6.820885 (lr=2.0341e-05) (hash(x)=145664585)
131
+ 4300 val loss 7.0026
132
+ 4300 val perplexity 1099.4919
133
+ 4300 train 6.850004 (lr=1.9924e-05) (hash(x)=143736499)
134
+ 4400 val loss 7.0038
135
+ 4400 val perplexity 1100.8297
136
+ 4400 train 6.842593 (lr=1.9504e-05) (hash(x)=151883322)
137
+ 4500 val loss 6.9983
138
+ 4500 val perplexity 1094.7209
139
+ 4500 train 6.933634 (lr=1.9081e-05) (hash(x)=153904871)
140
+ 4600 val loss 6.9911
141
+ 4600 val perplexity 1086.9075
142
+ 4600 train 7.039299 (lr=1.8655e-05) (hash(x)=154893521)
143
+ 4700 val loss 6.9738
144
+ 4700 val perplexity 1068.2222
145
+ 4700 train 7.047583 (lr=1.8226e-05) (hash(x)=152323949)
146
+ 4800 val loss 6.9590
147
+ 4800 val perplexity 1052.5825
148
+ 4800 train 6.904230 (lr=1.7796e-05) (hash(x)=154104619)
149
+ 4900 val loss 6.9583
150
+ 4900 val perplexity 1051.8029
151
+ 4900 train 6.992964 (lr=1.7365e-05) (hash(x)=146311426)
152
+ 5000 val loss 6.9458
153
+ 5000 val perplexity 1038.7706
154
+ 5000 train 6.989071 (lr=1.6933e-05) (hash(x)=156741847)
155
+ 5100 val loss 6.9606
156
+ 5100 val perplexity 1054.3060
157
+ 5100 train 6.759447 (lr=1.6500e-05) (hash(x)=142086346)
158
+ 5200 val loss 6.9412
159
+ 5200 val perplexity 1033.9725
160
+ 5200 train 6.749950 (lr=1.6067e-05) (hash(x)=150265428)
161
+ 5300 val loss 6.9325
162
+ 5300 val perplexity 1025.0934
163
+ 5300 train 6.848131 (lr=1.5635e-05) (hash(x)=151339108)
164
+ 5400 val loss 6.9238
165
+ 5400 val perplexity 1016.1281
166
+ 5400 train 6.924018 (lr=1.5204e-05) (hash(x)=154654372)
167
+ 5500 val loss 6.9107
168
+ 5500 val perplexity 1002.9852
169
+ 5500 train 6.898966 (lr=1.4774e-05) (hash(x)=150575051)
170
+ 5600 val loss 6.9009
171
+ 5600 val perplexity 993.1709
172
+ 5600 train 6.794309 (lr=1.4345e-05) (hash(x)=140396423)
173
+ 5700 val loss 6.8927
174
+ 5700 val perplexity 985.0370
175
+ 5700 train 6.787779 (lr=1.3919e-05) (hash(x)=144678758)
176
+ 5800 val loss 6.8807
177
+ 5800 val perplexity 973.2927
178
+ 5800 train 7.008542 (lr=1.3496e-05) (hash(x)=151992743)
179
+ 5900 val loss 6.8796
180
+ 5900 val perplexity 972.2138
181
+ 5900 train 6.681162 (lr=1.3076e-05) (hash(x)=144396927)
182
+ 6000 val loss 6.8718
183
+ 6000 val perplexity 964.6475
184
+ 6000 train 6.838612 (lr=1.2659e-05) (hash(x)=165478625)
185
+ 6100 val loss 6.8823
186
+ 6100 val perplexity 974.8538
187
+ 6100 train 6.666516 (lr=1.2246e-05) (hash(x)=147088621)
188
+ 6200 val loss 6.8625
189
+ 6200 val perplexity 955.7655
190
+ 6200 train 6.680235 (lr=1.1838e-05) (hash(x)=140794994)
191
+ 6300 val loss 6.8502
192
+ 6300 val perplexity 944.0838
193
+ 6300 train 6.760979 (lr=1.1434e-05) (hash(x)=134780906)
194
+ 6400 val loss 6.8387
195
+ 6400 val perplexity 933.2811
196
+ 6400 train 6.842179 (lr=1.1035e-05) (hash(x)=149023655)
197
+ 6500 val loss 6.8310
198
+ 6500 val perplexity 926.1088
199
+ 6500 train 6.720614 (lr=1.0643e-05) (hash(x)=147497796)
200
+ 6600 val loss 6.8290
201
+ 6600 val perplexity 924.2899
202
+ 6600 train 6.706747 (lr=1.0256e-05) (hash(x)=152902689)
203
+ 6700 val loss 6.8244
204
+ 6700 val perplexity 920.0207
205
+ 6700 train 6.887218 (lr=9.8753e-06) (hash(x)=153846046)
206
+ 6800 val loss 6.8080
207
+ 6800 val perplexity 905.0447
208
+ 6800 train 6.937702 (lr=9.5017e-06) (hash(x)=158512738)
209
+ 6900 val loss 6.8018
210
+ 6900 val perplexity 899.4612
211
+ 6900 train 7.154380 (lr=9.1353e-06) (hash(x)=156849968)
212
+ 7000 val loss 6.7952
213
+ 7000 val perplexity 893.5900
214
+ 7000 train 6.618436 (lr=8.7764e-06) (hash(x)=142395855)
215
+ 7100 val loss 6.7909
216
+ 7100 val perplexity 889.7031
217
+ 7100 train 6.678675 (lr=8.4255e-06) (hash(x)=147114884)
218
+ 7200 val loss 6.7953
219
+ 7200 val perplexity 893.6625
220
+ 7200 train 6.817767 (lr=8.0829e-06) (hash(x)=156979839)
221
+ 7300 val loss 6.7830
222
+ 7300 val perplexity 882.7558
223
+ 7300 train 6.563062 (lr=7.7489e-06) (hash(x)=145584373)
224
+ 7400 val loss 6.7786
225
+ 7400 val perplexity 878.8247
226
+ 7400 train 6.524684 (lr=7.4239e-06) (hash(x)=141508204)
227
+ 7500 val loss 6.7729
228
+ 7500 val perplexity 873.8824
229
+ 7500 train 6.826341 (lr=7.1083e-06) (hash(x)=148803965)
230
+ 7600 val loss 6.7658
231
+ 7600 val perplexity 867.6932
232
+ 7600 train 6.819306 (lr=6.8023e-06) (hash(x)=151019676)
233
+ 7700 val loss 6.7569
234
+ 7700 val perplexity 859.9560
235
+ 7700 train 6.733743 (lr=6.5062e-06) (hash(x)=143155750)
236
+ 7800 val loss 6.7511
237
+ 7800 val perplexity 855.0184
238
+ 7800 train 6.764259 (lr=6.2205e-06) (hash(x)=152569653)
239
+ 7900 val loss 6.7497
240
+ 7900 val perplexity 853.8071
241
+ 7900 train 6.591384 (lr=5.9453e-06) (hash(x)=143519455)
242
+ 8000 val loss 6.7448
243
+ 8000 val perplexity 849.6033
244
+ 8000 train 6.939550 (lr=5.6809e-06) (hash(x)=161180944)
245
+ 8100 val loss 6.7418
246
+ 8100 val perplexity 847.0533
247
+ 8100 train 6.779875 (lr=5.4277e-06) (hash(x)=154107345)
248
+ 8200 val loss 6.7415
249
+ 8200 val perplexity 846.8283
250
+ 8200 train 6.754670 (lr=5.1858e-06) (hash(x)=152486517)
251
+ 8300 val loss 6.7322
252
+ 8300 val perplexity 838.9739
253
+ 8300 train 6.769043 (lr=4.9556e-06) (hash(x)=156167749)
254
+ 8400 val loss 6.7278
255
+ 8400 val perplexity 835.3394
256
+ 8400 train 6.786001 (lr=4.7372e-06) (hash(x)=149155006)
257
+ 8500 val loss 6.7232
258
+ 8500 val perplexity 831.4517
259
+ 8500 train 6.695972 (lr=4.5309e-06) (hash(x)=147844390)
260
+ 8600 val loss 6.7186
261
+ 8600 val perplexity 827.6779
262
+ 8600 train 6.966806 (lr=4.3369e-06) (hash(x)=165753320)
263
+ 8700 val loss 6.7181
264
+ 8700 val perplexity 827.2810
265
+ 8700 train 6.516498 (lr=4.1554e-06) (hash(x)=146079979)
266
+ 8800 val loss 6.7177
267
+ 8800 val perplexity 826.8961
268
+ 8800 train 6.937664 (lr=3.9866e-06) (hash(x)=172259509)
269
+ 8900 val loss 6.7141
270
+ 8900 val perplexity 823.9076
271
+ 8900 train 6.411192 (lr=3.8307e-06) (hash(x)=145148314)
272
+ 9000 val loss 6.7114
273
+ 9000 val perplexity 821.6909
274
+ 9000 train 6.640437 (lr=3.6877e-06) (hash(x)=144250633)
275
+ 9100 val loss 6.7066
276
+ 9100 val perplexity 817.8230
277
+ 9100 train 6.797017 (lr=3.5580e-06) (hash(x)=157219797)
278
+ 9200 val loss 6.7057
279
+ 9200 val perplexity 817.0325
280
+ 9200 train 6.665264 (lr=3.4415e-06) (hash(x)=142743778)
281
+ 9300 val loss 6.6999
282
+ 9300 val perplexity 812.3007
283
+ 9300 train 6.579364 (lr=3.3385e-06) (hash(x)=139669771)
284
+ 9400 val loss 6.6991
285
+ 9400 val perplexity 811.6924
286
+ 9400 train 6.639892 (lr=3.2490e-06) (hash(x)=145916843)
287
+ 9500 val loss 6.6944
288
+ 9500 val perplexity 807.8905
289
+ 9500 train 6.609858 (lr=3.1730e-06) (hash(x)=150196125)
290
+ 9600 val loss 6.6925
291
+ 9600 val perplexity 806.3307
292
+ 9600 train 6.956125 (lr=3.1108e-06) (hash(x)=160041419)
293
+ 9700 val loss 6.6914
294
+ 9700 val perplexity 805.4365
295
+ 9700 train 6.495003 (lr=3.0624e-06) (hash(x)=139931627)
296
+ 9800 val loss 6.6895
297
+ 9800 val perplexity 803.9136
298
+ 9800 train 6.644150 (lr=3.0277e-06) (hash(x)=150370792)
299
+ 9900 val loss 6.6886
300
+ 9900 val perplexity 803.1917
301
+ 9900 train 6.569376 (lr=3.0069e-06) (hash(x)=153014886)
302
+ 9999 val loss 6.6859
303
+ 9999 val perplexity 801.0265
attention_kindself_n_heads2_seed1338/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:162ddaf18e89e228ba6652b011f18b3fbe6ea4dbd15b1927a464f0b1261d1618
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93c616f73004d6b6d9c51119e3770122d4a6c8058946bd88b2fa4aa58af0c30d
3
  size 38587970
attention_kindself_n_heads2_seed1338/model_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:081e193042470f48a4364138916cd15f9e7a8a14ac5cd03770c2edee904f9123
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:930852f791917058581874324175321f714ac954226c837bb6c1732ac9f94e42
3
  size 38587970
attention_kindself_n_heads2_seed1338/model_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7e2cf7e7d8da54c074e0e2d65d09569394851c94956d6a02075c9763d6c8e36a
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d161df8aafa2022a262df60c7ca1ae3647ca9ac6fcdae8d82fc70478c36e7b2
3
  size 38587970
attention_kindself_n_heads2_seed1338/model_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1492e55ab8c618c621a1011bdaab52c625084b440cd4698cbc66d65a782b10af
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bef4a08d067cf787e7977f6ff4fa65f8f51289f98a74e912ca829b8e73dbc117
3
  size 38587970
attention_kindself_n_heads2_seed1338/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b138f1a8c51d246cb28f518fe899ca98d36455537a633967c69559581e6a74e5
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:07e95cffe880959fe21d01be91c2d672b0a8961a34e57fe4fa12e277a9134c32
3
  size 70895430
attention_kindself_n_heads2_seed1338/optimizer_05000.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bd574b2deede7ffd710dde6911c704c358d5dcb400314372a424fcf3cc9a56fd
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e582155475d08ef8246148d6999df45b3eaed03c25adcb02dae2b4d81b8feaf5
3
  size 70895430
attention_kindself_n_heads2_seed1338/optimizer_07500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f5ffea7152403ad721e061dfae3afd353afaa0a69ab1a376e22731e6c936c489
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:edacfe1eb0281a18605dca0a126c99c3e22ff76bc2fa7fd24aa0dcee9308af2d
3
  size 70895430
attention_kindself_n_heads2_seed1338/optimizer_09999.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1db75df11392c74683e75465555e72bb02c2978e80a3a78d67f0a44440e1b501
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9cf7d5506d8fa88301e8f268a344f26260fd87e811990ac25dcb63f2d10b8745
3
  size 70895430