andrew-healey commited on
Commit
a5393ca
·
verified ·
1 Parent(s): c2d8dab

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads4_seed1340/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "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": false, "mup_enable_coord_check_logging": false, "max_lr": 3.5e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.5e-5_30720_4_1340", "n_embd": 256}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 4, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 17500, "warmup_steps": 200, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "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": false, "mup_enable_coord_check_logging": false, "max_lr": 4e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "4e-5_30720_4_1340", "n_embd": 256}
attention_kindselective_n_heads4_seed1340/log2.txt CHANGED
@@ -1,528 +1,1056 @@
1
  max_steps: 17500
 
 
 
2
  0 val loss 11.2714
3
  0 val perplexity 78545.6094
4
- 0 train 11.276529 (lr=1.7500e-07) (hash(x)=164406924)
5
- 100 val loss 9.9266
6
- 100 val perplexity 20467.4668
7
- 100 train 9.971992 (lr=1.7675e-05) (hash(x)=177407419)
8
- 200 val loss 8.9790
9
- 200 val perplexity 7934.9438
10
- 200 train 8.945872 (lr=3.5000e-05) (hash(x)=144903932)
11
- 300 val loss 7.9072
12
- 300 val perplexity 2716.8372
13
- 300 train 8.167640 (lr=3.4997e-05) (hash(x)=173839165)
14
- 400 val loss 7.6143
15
- 400 val perplexity 2026.9836
16
- 400 train 7.693684 (lr=3.4990e-05) (hash(x)=167734596)
17
- 500 val loss 7.5204
18
- 500 val perplexity 1845.3423
19
- 500 train 7.531204 (lr=3.4977e-05) (hash(x)=153224076)
20
- 600 val loss 7.4565
21
- 600 val perplexity 1731.0846
22
- 600 train 7.358781 (lr=3.4958e-05) (hash(x)=149619098)
23
- 700 val loss 7.4099
24
- 700 val perplexity 1652.3087
25
- 700 train 7.336334 (lr=3.4935e-05) (hash(x)=146539909)
26
- 800 val loss 7.3613
27
- 800 val perplexity 1573.9480
28
- 800 train 7.321278 (lr=3.4907e-05) (hash(x)=153710890)
29
- 900 val loss 7.3258
30
- 900 val perplexity 1519.0479
31
- 900 train 7.265766 (lr=3.4873e-05) (hash(x)=155873620)
32
- 1000 val loss 7.2840
33
- 1000 val perplexity 1456.8236
34
- 1000 train 7.201667 (lr=3.4834e-05) (hash(x)=145450636)
35
- 1100 val loss 7.2368
36
- 1100 val perplexity 1389.6337
37
- 1100 train 7.307060 (lr=3.4790e-05) (hash(x)=154123388)
38
- 1200 val loss 7.1929
39
- 1200 val perplexity 1329.9440
40
- 1200 train 7.065642 (lr=3.4741e-05) (hash(x)=145249251)
41
- 1300 val loss 7.1508
42
- 1300 val perplexity 1275.1411
43
- 1300 train 7.040481 (lr=3.4687e-05) (hash(x)=148937127)
44
- 1400 val loss 7.1070
45
- 1400 val perplexity 1220.4199
46
- 1400 train 7.223106 (lr=3.4628e-05) (hash(x)=150475545)
47
- 1500 val loss 7.0655
48
- 1500 val perplexity 1170.8129
49
- 1500 train 6.988626 (lr=3.4563e-05) (hash(x)=154653428)
50
- 1600 val loss 7.0237
51
- 1600 val perplexity 1122.9769
52
- 1600 train 7.005347 (lr=3.4494e-05) (hash(x)=144483776)
53
- 1700 val loss 6.9803
54
- 1700 val perplexity 1075.2378
55
- 1700 train 7.135699 (lr=3.4419e-05) (hash(x)=157395496)
56
- 1800 val loss 6.9478
57
- 1800 val perplexity 1040.8788
58
- 1800 train 6.965749 (lr=3.4340e-05) (hash(x)=157916369)
59
- 1900 val loss 6.9103
60
- 1900 val perplexity 1002.5468
61
- 1900 train 7.111033 (lr=3.4255e-05) (hash(x)=166073923)
62
- 2000 val loss 6.8849
63
- 2000 val perplexity 977.3700
64
- 2000 train 6.956383 (lr=3.4166e-05) (hash(x)=154856891)
65
- 2100 val loss 6.8511
66
- 2100 val perplexity 944.8918
67
- 2100 train 6.848049 (lr=3.4072e-05) (hash(x)=151925203)
68
- 2200 val loss 6.8133
69
- 2200 val perplexity 909.8325
70
- 2200 train 6.523357 (lr=3.3973e-05) (hash(x)=136191502)
71
- 2300 val loss 6.7732
72
- 2300 val perplexity 874.0762
73
- 2300 train 6.939043 (lr=3.3869e-05) (hash(x)=153273362)
74
- 2400 val loss 6.7307
75
- 2400 val perplexity 837.6920
76
- 2400 train 6.681937 (lr=3.3760e-05) (hash(x)=148021541)
77
- 2500 val loss 6.7012
78
- 2500 val perplexity 813.3631
79
- 2500 train 6.649411 (lr=3.3646e-05) (hash(x)=141356608)
80
- 2600 val loss 6.6608
81
- 2600 val perplexity 781.1562
82
- 2600 train 6.598667 (lr=3.3528e-05) (hash(x)=146005217)
83
- 2700 val loss 6.6327
84
- 2700 val perplexity 759.5594
85
- 2700 train 6.472603 (lr=3.3405e-05) (hash(x)=144511718)
86
- 2800 val loss 6.5913
87
- 2800 val perplexity 728.7283
88
- 2800 train 6.472763 (lr=3.3277e-05) (hash(x)=146019502)
89
- 2900 val loss 6.5594
90
- 2900 val perplexity 705.8724
91
- 2900 train 6.474362 (lr=3.3144e-05) (hash(x)=146496200)
92
- 3000 val loss 6.5411
93
- 3000 val perplexity 693.0455
94
- 3000 train 6.485529 (lr=3.3008e-05) (hash(x)=150127281)
95
- 3100 val loss 6.5020
96
- 3100 val perplexity 666.4407
97
- 3100 train 6.481001 (lr=3.2866e-05) (hash(x)=142022255)
98
- 3200 val loss 6.4705
99
- 3200 val perplexity 645.7927
100
- 3200 train 6.523926 (lr=3.2720e-05) (hash(x)=154120875)
101
- 3300 val loss 6.4562
102
- 3300 val perplexity 636.6580
103
- 3300 train 6.525292 (lr=3.2570e-05) (hash(x)=153999717)
104
- 3400 val loss 6.4321
105
- 3400 val perplexity 621.4645
106
- 3400 train 6.200135 (lr=3.2415e-05) (hash(x)=139694097)
107
- 3500 val loss 6.4008
108
- 3500 val perplexity 602.3418
109
- 3500 train 6.595932 (lr=3.2256e-05) (hash(x)=162992732)
110
- 3600 val loss 6.3711
111
- 3600 val perplexity 584.6736
112
- 3600 train 6.347825 (lr=3.2092e-05) (hash(x)=147574101)
113
- 3700 val loss 6.3570
114
- 3700 val perplexity 576.4910
115
- 3700 train 6.464335 (lr=3.1924e-05) (hash(x)=157763099)
116
- 3800 val loss 6.3282
117
- 3800 val perplexity 560.1225
118
- 3800 train 6.493472 (lr=3.1753e-05) (hash(x)=170800034)
119
- 3900 val loss 6.3173
120
- 3900 val perplexity 554.0912
121
- 3900 train 6.395955 (lr=3.1577e-05) (hash(x)=164984528)
122
- 4000 val loss 6.2971
123
- 4000 val perplexity 542.9831
124
- 4000 train 6.155862 (lr=3.1397e-05) (hash(x)=141743323)
125
- 4100 val loss 6.2924
126
- 4100 val perplexity 540.4485
127
- 4100 train 6.310122 (lr=3.1212e-05) (hash(x)=153392872)
128
- 4200 val loss 6.2781
129
- 4200 val perplexity 532.7952
130
- 4200 train 6.143710 (lr=3.1024e-05) (hash(x)=149074933)
131
- 4300 val loss 6.2582
132
- 4300 val perplexity 522.2766
133
- 4300 train 6.652179 (lr=3.0833e-05) (hash(x)=167823423)
134
- 4400 val loss 6.2320
135
- 4400 val perplexity 508.7494
136
- 4400 train 5.998601 (lr=3.0637e-05) (hash(x)=141203114)
137
- 4500 val loss 6.2189
138
- 4500 val perplexity 502.1626
139
- 4500 train 6.219765 (lr=3.0437e-05) (hash(x)=146284780)
140
- 4600 val loss 6.2007
141
- 4600 val perplexity 493.1036
142
- 4600 train 6.002645 (lr=3.0234e-05) (hash(x)=141126464)
143
- 4700 val loss 6.1858
144
- 4700 val perplexity 485.7832
145
- 4700 train 6.216115 (lr=3.0027e-05) (hash(x)=154751926)
146
- 4800 val loss 6.1708
147
- 4800 val perplexity 478.5557
148
- 4800 train 6.251617 (lr=2.9817e-05) (hash(x)=154793198)
149
- 4900 val loss 6.1639
150
- 4900 val perplexity 475.2658
151
- 4900 train 5.881503 (lr=2.9603e-05) (hash(x)=139406392)
152
- 5000 val loss 6.1723
153
- 5000 val perplexity 479.2990
154
- 5000 train 5.887846 (lr=2.9386e-05) (hash(x)=153548741)
155
- 5100 val loss 6.1475
156
- 5100 val perplexity 467.5700
157
- 5100 train 6.233172 (lr=2.9166e-05) (hash(x)=160488568)
158
- 5200 val loss 6.1319
159
- 5200 val perplexity 460.3081
160
- 5200 train 6.151352 (lr=2.8942e-05) (hash(x)=149645053)
161
- 5300 val loss 6.1078
162
- 5300 val perplexity 449.3437
163
- 5300 train 6.208061 (lr=2.8715e-05) (hash(x)=155820556)
164
- 5400 val loss 6.0966
165
- 5400 val perplexity 444.3400
166
- 5400 train 6.046060 (lr=2.8484e-05) (hash(x)=147538134)
167
- 5500 val loss 6.0916
168
- 5500 val perplexity 442.1204
169
- 5500 train 6.301843 (lr=2.8251e-05) (hash(x)=166889307)
170
- 5600 val loss 6.0740
171
- 5600 val perplexity 434.4076
172
- 5600 train 5.769093 (lr=2.8015e-05) (hash(x)=139516699)
173
- 5700 val loss 6.0724
174
- 5700 val perplexity 433.7223
175
- 5700 train 5.755292 (lr=2.7776e-05) (hash(x)=140453511)
176
- 5800 val loss 6.0626
177
- 5800 val perplexity 429.4872
178
- 5800 train 6.000001 (lr=2.7534e-05) (hash(x)=162964847)
179
- 5900 val loss 6.0503
180
- 5900 val perplexity 424.2379
181
- 5900 train 6.053433 (lr=2.7290e-05) (hash(x)=150606634)
182
- 6000 val loss 6.0302
183
- 6000 val perplexity 415.8105
184
- 6000 train 6.121263 (lr=2.7042e-05) (hash(x)=149890857)
185
- 6100 val loss 6.0265
186
- 6100 val perplexity 414.2556
187
- 6100 train 6.125873 (lr=2.6792e-05) (hash(x)=173884145)
188
- 6200 val loss 6.0170
189
- 6200 val perplexity 410.3571
190
- 6200 train 6.064613 (lr=2.6540e-05) (hash(x)=151987098)
191
- 6300 val loss 6.0003
192
- 6300 val perplexity 403.5415
193
- 6300 train 5.954297 (lr=2.6285e-05) (hash(x)=148853562)
194
- 6400 val loss 5.9930
195
- 6400 val perplexity 400.5982
196
- 6400 train 5.743896 (lr=2.6028e-05) (hash(x)=141530101)
197
- 6500 val loss 5.9873
198
- 6500 val perplexity 398.3281
199
- 6500 train 5.854073 (lr=2.5769e-05) (hash(x)=142297809)
200
- 6600 val loss 5.9702
201
- 6600 val perplexity 391.5672
202
- 6600 train 5.868578 (lr=2.5508e-05) (hash(x)=142447782)
203
- 6700 val loss 5.9670
204
- 6700 val perplexity 390.3195
205
- 6700 train 5.964384 (lr=2.5244e-05) (hash(x)=147004686)
206
- 6800 val loss 5.9555
207
- 6800 val perplexity 385.8641
208
- 6800 train 5.699266 (lr=2.4979e-05) (hash(x)=133438702)
209
- 6900 val loss 5.9538
210
- 6900 val perplexity 385.2148
211
- 6900 train 5.983283 (lr=2.4711e-05) (hash(x)=157085143)
212
- 7000 val loss 5.9415
213
- 7000 val perplexity 380.5093
214
- 7000 train 5.814411 (lr=2.4442e-05) (hash(x)=139437666)
215
- 7100 val loss 5.9337
216
- 7100 val perplexity 377.5412
217
- 7100 train 5.945026 (lr=2.4171e-05) (hash(x)=159792986)
218
- 7200 val loss 5.9151
219
- 7200 val perplexity 370.6091
220
- 7200 train 5.902672 (lr=2.3899e-05) (hash(x)=144930687)
221
- 7300 val loss 5.9125
222
- 7300 val perplexity 369.6437
223
- 7300 train 5.960479 (lr=2.3625e-05) (hash(x)=156242690)
224
- 7400 val loss 5.9014
225
- 7400 val perplexity 365.5585
226
- 7400 train 5.731031 (lr=2.3349e-05) (hash(x)=148183719)
227
- 7500 val loss 5.8968
228
- 7500 val perplexity 363.8860
229
- 7500 train 5.943295 (lr=2.3073e-05) (hash(x)=152494758)
230
- 7600 val loss 5.8931
231
- 7600 val perplexity 362.5366
232
- 7600 train 5.588400 (lr=2.2795e-05) (hash(x)=142485027)
233
- 7700 val loss 5.8946
234
- 7700 val perplexity 363.0880
235
- 7700 train 5.764569 (lr=2.2515e-05) (hash(x)=147512165)
236
- 7800 val loss 5.8700
237
- 7800 val perplexity 354.2464
238
- 7800 train 5.741778 (lr=2.2235e-05) (hash(x)=160346994)
239
- 7900 val loss 5.8666
240
- 7900 val perplexity 353.0454
241
- 7900 train 5.738772 (lr=2.1954e-05) (hash(x)=144488254)
242
- 8000 val loss 5.8550
243
- 8000 val perplexity 348.9649
244
- 8000 train 5.665582 (lr=2.1671e-05) (hash(x)=147637019)
245
- 8100 val loss 5.8522
246
- 8100 val perplexity 348.0111
247
- 8100 train 5.713085 (lr=2.1388e-05) (hash(x)=147340534)
248
- 8200 val loss 5.8435
249
- 8200 val perplexity 344.9934
250
- 8200 train 5.907599 (lr=2.1105e-05) (hash(x)=151630665)
251
- 8300 val loss 5.8371
252
- 8300 val perplexity 342.7936
253
- 8300 train 5.941170 (lr=2.0820e-05) (hash(x)=149747064)
254
- 8400 val loss 5.8255
255
- 8400 val perplexity 338.8247
256
- 8400 train 6.025146 (lr=2.0536e-05) (hash(x)=154245770)
257
- 8500 val loss 5.8218
258
- 8500 val perplexity 337.5670
259
- 8500 train 5.710631 (lr=2.0250e-05) (hash(x)=152559100)
260
- 8600 val loss 5.8137
261
- 8600 val perplexity 334.8488
262
- 8600 train 6.208880 (lr=1.9965e-05) (hash(x)=181365926)
263
- 8700 val loss 5.8088
264
- 8700 val perplexity 333.2325
265
- 8700 train 5.632130 (lr=1.9679e-05) (hash(x)=154405991)
266
- 8800 val loss 5.7990
267
- 8800 val perplexity 329.9627
268
- 8800 train 5.749090 (lr=1.9393e-05) (hash(x)=153755904)
269
- 8900 val loss 5.7975
270
- 8900 val perplexity 329.4634
271
- 8900 train 5.708569 (lr=1.9107e-05) (hash(x)=152120568)
272
- 9000 val loss 5.7785
273
- 9000 val perplexity 323.2753
274
- 9000 train 5.573270 (lr=1.8821e-05) (hash(x)=142797279)
275
- 9100 val loss 5.7769
276
- 9100 val perplexity 322.7535
277
- 9100 train 5.646819 (lr=1.8535e-05) (hash(x)=143037503)
278
- 9200 val loss 5.7753
279
- 9200 val perplexity 322.2328
280
- 9200 train 5.649633 (lr=1.8250e-05) (hash(x)=113690273)
281
- 9300 val loss 5.7678
282
- 9300 val perplexity 319.8191
283
- 9300 train 5.708163 (lr=1.7964e-05) (hash(x)=158025077)
284
- 9400 val loss 5.7595
285
- 9400 val perplexity 317.1894
286
- 9400 train 5.840967 (lr=1.7680e-05) (hash(x)=158251718)
287
- 9500 val loss 5.7562
288
- 9500 val perplexity 316.1416
289
- 9500 train 5.786424 (lr=1.7395e-05) (hash(x)=154752610)
290
- 9600 val loss 5.7477
291
- 9600 val perplexity 313.4607
292
- 9600 train 5.630883 (lr=1.7112e-05) (hash(x)=146889093)
293
- 9700 val loss 5.7382
294
- 9700 val perplexity 310.4960
295
- 9700 train 5.741565 (lr=1.6829e-05) (hash(x)=156906516)
296
- 9800 val loss 5.7365
297
- 9800 val perplexity 309.9757
298
- 9800 train 5.562198 (lr=1.6546e-05) (hash(x)=153841927)
299
- 9900 val loss 5.7311
300
- 9900 val perplexity 308.3038
301
- 9900 train 5.949374 (lr=1.6265e-05) (hash(x)=163514334)
302
- 10000 val loss 5.7238
303
- 10000 val perplexity 306.0793
304
- 10000 train 5.723799 (lr=1.5985e-05) (hash(x)=144745561)
305
- 10100 val loss 5.7185
306
- 10100 val perplexity 304.4456
307
- 10100 train 5.935614 (lr=1.5705e-05) (hash(x)=161651149)
308
- 10200 val loss 5.7124
309
- 10200 val perplexity 302.5875
310
- 10200 train 5.650381 (lr=1.5427e-05) (hash(x)=143667037)
311
- 10300 val loss 5.7086
312
- 10300 val perplexity 301.4551
313
- 10300 train 5.606673 (lr=1.5151e-05) (hash(x)=151687262)
314
- 10400 val loss 5.7048
315
- 10400 val perplexity 300.2989
316
- 10400 train 5.547319 (lr=1.4875e-05) (hash(x)=153694955)
317
- 10500 val loss 5.7046
318
- 10500 val perplexity 300.2592
319
- 10500 train 5.655263 (lr=1.4601e-05) (hash(x)=150218029)
320
- 10600 val loss 5.6985
321
- 10600 val perplexity 298.4055
322
- 10600 train 5.777823 (lr=1.4329e-05) (hash(x)=155093716)
323
- 10700 val loss 5.6915
324
- 10700 val perplexity 296.3455
325
- 10700 train 5.739979 (lr=1.4058e-05) (hash(x)=151631831)
326
- 10800 val loss 5.6844
327
- 10800 val perplexity 294.2519
328
- 10800 train 5.547766 (lr=1.3789e-05) (hash(x)=136465175)
329
- 10900 val loss 5.6813
330
- 10900 val perplexity 293.3297
331
- 10900 train 5.622696 (lr=1.3521e-05) (hash(x)=154461514)
332
- 11000 val loss 5.6797
333
- 11000 val perplexity 292.8474
334
- 11000 train 5.673146 (lr=1.3256e-05) (hash(x)=141877432)
335
- 11100 val loss 5.6754
336
- 11100 val perplexity 291.5960
337
- 11100 train 5.466080 (lr=1.2992e-05) (hash(x)=139572894)
338
- 11200 val loss 5.6679
339
- 11200 val perplexity 289.4243
340
- 11200 train 5.721173 (lr=1.2731e-05) (hash(x)=155591443)
341
- 11300 val loss 5.6625
342
- 11300 val perplexity 287.8601
343
- 11300 train 5.691182 (lr=1.2472e-05) (hash(x)=153349136)
344
- 11400 val loss 5.6604
345
- 11400 val perplexity 287.2627
346
- 11400 train 5.621408 (lr=1.2215e-05) (hash(x)=148109395)
347
- 11500 val loss 5.6564
348
- 11500 val perplexity 286.1266
349
- 11500 train 5.653296 (lr=1.1960e-05) (hash(x)=153276620)
350
- 11600 val loss 5.6545
351
- 11600 val perplexity 285.5773
352
- 11600 train 5.523118 (lr=1.1708e-05) (hash(x)=151416388)
353
- 11700 val loss 5.6520
354
- 11700 val perplexity 284.8488
355
- 11700 train 5.519225 (lr=1.1458e-05) (hash(x)=143420927)
356
- 11800 val loss 5.6470
357
- 11800 val perplexity 283.4373
358
- 11800 train 5.705198 (lr=1.1210e-05) (hash(x)=165023996)
359
- 11900 val loss 5.6393
360
- 11900 val perplexity 281.2567
361
- 11900 train 5.543955 (lr=1.0966e-05) (hash(x)=144465076)
362
- 12000 val loss 5.6378
363
- 12000 val perplexity 280.8501
364
- 12000 train 5.653812 (lr=1.0724e-05) (hash(x)=155991892)
365
- 12100 val loss 5.6366
366
- 12100 val perplexity 280.5099
367
- 12100 train 5.683947 (lr=1.0485e-05) (hash(x)=150748844)
368
- 12200 val loss 5.6320
369
- 12200 val perplexity 279.2109
370
- 12200 train 5.605118 (lr=1.0249e-05) (hash(x)=149712638)
371
- 12300 val loss 5.6304
372
- 12300 val perplexity 278.7651
373
- 12300 train 5.462433 (lr=1.0016e-05) (hash(x)=140428230)
374
- 12400 val loss 5.6273
375
- 12400 val perplexity 277.9107
376
- 12400 train 5.813768 (lr=9.7854e-06) (hash(x)=163614308)
377
- 12500 val loss 5.6219
378
- 12500 val perplexity 276.4029
379
- 12500 train 5.587658 (lr=9.5583e-06) (hash(x)=153366153)
380
- 12600 val loss 5.6200
381
- 12600 val perplexity 275.8958
382
- 12600 train 5.525670 (lr=9.3345e-06) (hash(x)=146832066)
383
- 12700 val loss 5.6159
384
- 12700 val perplexity 274.7627
385
- 12700 train 5.789717 (lr=9.1139e-06) (hash(x)=154387414)
386
- 12800 val loss 5.6145
387
- 12800 val perplexity 274.3859
388
- 12800 train 5.408749 (lr=8.8967e-06) (hash(x)=139465199)
389
- 12900 val loss 5.6157
390
- 12900 val perplexity 274.7184
391
- 12900 train 5.331150 (lr=8.6829e-06) (hash(x)=143326374)
392
- 13000 val loss 5.6096
393
- 13000 val perplexity 273.0276
394
- 13000 train 5.762860 (lr=8.4726e-06) (hash(x)=158817835)
395
- 13100 val loss 5.6064
396
- 13100 val perplexity 272.1617
397
- 13100 train 5.488267 (lr=8.2658e-06) (hash(x)=142027874)
398
- 13200 val loss 5.6051
399
- 13200 val perplexity 271.8146
400
- 13200 train 5.591190 (lr=8.0626e-06) (hash(x)=148497730)
401
- 13300 val loss 5.6034
402
- 13300 val perplexity 271.3353
403
- 13300 train 5.507898 (lr=7.8632e-06) (hash(x)=148094633)
404
- 13400 val loss 5.5998
405
- 13400 val perplexity 270.3817
406
- 13400 train 5.463295 (lr=7.6674e-06) (hash(x)=150548214)
407
- 13500 val loss 5.5936
408
- 13500 val perplexity 268.7015
409
- 13500 train 5.709482 (lr=7.4756e-06) (hash(x)=152789725)
410
- 13600 val loss 5.5917
411
- 13600 val perplexity 268.1876
412
- 13600 train 5.634488 (lr=7.2875e-06) (hash(x)=153220230)
413
- 13700 val loss 5.5894
414
- 13700 val perplexity 267.5828
415
- 13700 train 5.616460 (lr=7.1035e-06) (hash(x)=147805699)
416
- 13800 val loss 5.5893
417
- 13800 val perplexity 267.5524
418
- 13800 train 5.399392 (lr=6.9234e-06) (hash(x)=146267341)
419
- 13900 val loss 5.5881
420
- 13900 val perplexity 267.2294
421
- 13900 train 5.423314 (lr=6.7474e-06) (hash(x)=139467501)
422
- 14000 val loss 5.5856
423
- 14000 val perplexity 266.5664
424
- 14000 train 5.602534 (lr=6.5756e-06) (hash(x)=152185436)
425
- 14100 val loss 5.5805
426
- 14100 val perplexity 265.2093
427
- 14100 train 5.709170 (lr=6.4079e-06) (hash(x)=176479139)
428
- 14200 val loss 5.5764
429
- 14200 val perplexity 264.1297
430
- 14200 train 5.654222 (lr=6.2444e-06) (hash(x)=151052040)
431
- 14300 val loss 5.5752
432
- 14300 val perplexity 263.8138
433
- 14300 train 5.522494 (lr=6.0852e-06) (hash(x)=149668097)
434
- 14400 val loss 5.5749
435
- 14400 val perplexity 263.7227
436
- 14400 train 5.588047 (lr=5.9304e-06) (hash(x)=151761941)
437
- 14500 val loss 5.5726
438
- 14500 val perplexity 263.1170
439
- 14500 train 5.530627 (lr=5.7800e-06) (hash(x)=149412009)
440
- 14600 val loss 5.5700
441
- 14600 val perplexity 262.4285
442
- 14600 train 5.451919 (lr=5.6340e-06) (hash(x)=145048020)
443
- 14700 val loss 5.5677
444
- 14700 val perplexity 261.8238
445
- 14700 train 5.520936 (lr=5.4925e-06) (hash(x)=141771666)
446
- 14800 val loss 5.5643
447
- 14800 val perplexity 260.9447
448
- 14800 train 5.486890 (lr=5.3555e-06) (hash(x)=148759740)
449
- 14900 val loss 5.5629
450
- 14900 val perplexity 260.5715
451
- 14900 train 5.491292 (lr=5.2231e-06) (hash(x)=146287032)
452
- 15000 val loss 5.5606
453
- 15000 val perplexity 259.9802
454
- 15000 train 5.507795 (lr=5.0954e-06) (hash(x)=143519156)
455
- 15100 val loss 5.5632
456
- 15100 val perplexity 260.6473
457
- 15100 train 5.548056 (lr=4.9723e-06) (hash(x)=151330688)
458
- 15200 val loss 5.5655
459
- 15200 val perplexity 261.2667
460
- 15200 train 5.371873 (lr=4.8539e-06) (hash(x)=140380090)
461
- 15300 val loss 5.5599
462
- 15300 val perplexity 259.7881
463
- 15300 train 5.470203 (lr=4.7403e-06) (hash(x)=152598160)
464
- 15400 val loss 5.5553
465
- 15400 val perplexity 258.5987
466
- 15400 train 5.792345 (lr=4.6314e-06) (hash(x)=164136966)
467
- 15500 val loss 5.5544
468
- 15500 val perplexity 258.3689
469
- 15500 train 5.751496 (lr=4.5274e-06) (hash(x)=158733990)
470
- 15600 val loss 5.5519
471
- 15600 val perplexity 257.7298
472
- 15600 train 5.593985 (lr=4.4282e-06) (hash(x)=149149390)
473
- 15700 val loss 5.5506
474
- 15700 val perplexity 257.3911
475
- 15700 train 5.507520 (lr=4.3339e-06) (hash(x)=146746394)
476
- 15800 val loss 5.5500
477
- 15800 val perplexity 257.2358
478
- 15800 train 5.569361 (lr=4.2446e-06) (hash(x)=159405219)
479
- 15900 val loss 5.5485
480
- 15900 val perplexity 256.8521
481
- 15900 train 5.591457 (lr=4.1601e-06) (hash(x)=154034029)
482
- 16000 val loss 5.5467
483
- 16000 val perplexity 256.3889
484
- 16000 train 5.543062 (lr=4.0807e-06) (hash(x)=153634210)
485
- 16100 val loss 5.5438
486
- 16100 val perplexity 255.6543
487
- 16100 train 5.479768 (lr=4.0063e-06) (hash(x)=155646721)
488
- 16200 val loss 5.5435
489
- 16200 val perplexity 255.5702
490
- 16200 train 5.458189 (lr=3.9368e-06) (hash(x)=142461643)
491
- 16300 val loss 5.5426
492
- 16300 val perplexity 255.3481
493
- 16300 train 5.459714 (lr=3.8725e-06) (hash(x)=141080038)
494
- 16400 val loss 5.5416
495
- 16400 val perplexity 255.0929
496
- 16400 train 5.554860 (lr=3.8132e-06) (hash(x)=153744166)
497
- 16500 val loss 5.5441
498
- 16500 val perplexity 255.7334
499
- 16500 train 5.367388 (lr=3.7590e-06) (hash(x)=149783517)
500
- 16600 val loss 5.5463
501
- 16600 val perplexity 256.2921
502
- 16600 train 5.386395 (lr=3.7099e-06) (hash(x)=142659127)
503
- 16700 val loss 5.5397
504
- 16700 val perplexity 254.5953
505
- 16700 train 5.616637 (lr=3.6659e-06) (hash(x)=149725921)
506
- 16800 val loss 5.5367
507
- 16800 val perplexity 253.8382
508
- 16800 train 5.392825 (lr=3.6271e-06) (hash(x)=140678087)
509
- 16900 val loss 5.5347
510
- 16900 val perplexity 253.3222
511
- 16900 train 5.555767 (lr=3.5934e-06) (hash(x)=146935413)
512
- 17000 val loss 5.5331
513
- 17000 val perplexity 252.9307
514
- 17000 train 5.549460 (lr=3.5649e-06) (hash(x)=144408437)
515
- 17100 val loss 5.5327
516
- 17100 val perplexity 252.8303
517
- 17100 train 5.365889 (lr=3.5415e-06) (hash(x)=149229905)
518
- 17200 val loss 5.5338
519
- 17200 val perplexity 253.1139
520
- 17200 train 5.497445 (lr=3.5234e-06) (hash(x)=150471865)
521
- 17300 val loss 5.5350
522
- 17300 val perplexity 253.3969
523
- 17300 train 5.428278 (lr=3.5104e-06) (hash(x)=155784916)
524
- 17400 val loss 5.5377
525
- 17400 val perplexity 254.0839
526
- 17400 train 5.318845 (lr=3.5026e-06) (hash(x)=148482413)
527
- 17499 val loss 5.5305
528
- 17499 val perplexity 252.2734
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  max_steps: 17500
2
+ max_steps: 17500
3
+ 0 val loss 11.2714
4
+ 0 val perplexity 78545.6094
5
  0 val loss 11.2714
6
  0 val perplexity 78545.6094
7
+ 0 train 11.276529 (lr=2.0000e-07) (hash(x)=164406924)
8
+ 0 train 11.276529 (lr=1.8750e-07) (hash(x)=164406924)
9
+ 100 val loss 9.9069
10
+ 100 val perplexity 20067.5703
11
+ 100 val loss 9.9126
12
+ 100 val perplexity 20183.8613
13
+ 100 train 9.956517 (lr=2.0200e-05) (hash(x)=177407419)
14
+ 100 train 9.961933 (lr=1.8937e-05) (hash(x)=177407419)
15
+ 200 val loss 8.8168
16
+ 200 val perplexity 6746.3262
17
+ 200 val loss 8.6973
18
+ 200 val perplexity 5986.4463
19
+ 200 train 8.780914 (lr=4.0000e-05) (hash(x)=144903932)
20
+ 200 train 8.659005 (lr=3.7500e-05) (hash(x)=144903932)
21
+ 300 val loss 7.8751
22
+ 300 val perplexity 2630.9985
23
+ 300 train 8.148215 (lr=3.9997e-05) (hash(x)=173839165)
24
+ 300 val loss 7.7852
25
+ 300 val perplexity 2404.7244
26
+ 300 train 8.077199 (lr=3.7497e-05) (hash(x)=173839165)
27
+ 400 val loss 7.6065
28
+ 400 val perplexity 2011.1913
29
+ 400 train 7.687731 (lr=3.9988e-05) (hash(x)=167734596)
30
+ 400 val loss 7.5757
31
+ 400 val perplexity 1950.2804
32
+ 400 train 7.660161 (lr=3.7489e-05) (hash(x)=167734596)
33
+ 500 val loss 7.4979
34
+ 500 val perplexity 1804.2780
35
+ 500 train 7.503215 (lr=3.9973e-05) (hash(x)=153224076)
36
+ 500 val loss 7.4857
37
+ 500 val perplexity 1782.4413
38
+ 500 train 7.490746 (lr=3.7475e-05) (hash(x)=153224076)
39
+ 600 val loss 7.4185
40
+ 600 val perplexity 1666.4873
41
+ 600 train 7.325118 (lr=3.9953e-05) (hash(x)=149619098)
42
+ 600 val loss 7.3959
43
+ 600 val perplexity 1629.3384
44
+ 600 train 7.295888 (lr=3.7456e-05) (hash(x)=149619098)
45
+ 700 val loss 7.3749
46
+ 700 val perplexity 1595.4503
47
+ 700 train 7.299428 (lr=3.9926e-05) (hash(x)=146539909)
48
+ 700 val loss 7.3358
49
+ 700 val perplexity 1534.2030
50
+ 700 train 7.257471 (lr=3.7430e-05) (hash(x)=146539909)
51
+ 800 val loss 7.3102
52
+ 800 val perplexity 1495.4886
53
+ 800 train 7.267064 (lr=3.9893e-05) (hash(x)=153710890)
54
+ 800 val loss 7.2643
55
+ 800 val perplexity 1428.4465
56
+ 800 train 7.219354 (lr=3.7400e-05) (hash(x)=153710890)
57
+ 900 val loss 7.2638
58
+ 900 val perplexity 1427.6083
59
+ 900 train 7.201191 (lr=3.9855e-05) (hash(x)=155873620)
60
+ 900 val loss 7.2092
61
+ 900 val perplexity 1351.8445
62
+ 900 train 7.146883 (lr=3.7364e-05) (hash(x)=155873620)
63
+ 1000 val loss 7.2084
64
+ 1000 val perplexity 1350.6891
65
+ 1000 train 7.128109 (lr=3.9810e-05) (hash(x)=145450636)
66
+ 1000 val loss 7.1526
67
+ 1000 val perplexity 1277.4160
68
+ 1000 train 7.070847 (lr=3.7322e-05) (hash(x)=145450636)
69
+ 1100 val loss 7.1457
70
+ 1100 val perplexity 1268.6505
71
+ 1100 train 7.228844 (lr=3.9760e-05) (hash(x)=154123388)
72
+ 1100 val loss 7.0944
73
+ 1100 val perplexity 1205.1863
74
+ 1100 train 7.183575 (lr=3.7275e-05) (hash(x)=154123388)
75
+ 1200 val loss 7.0836
76
+ 1200 val perplexity 1192.2507
77
+ 1200 train 6.958751 (lr=3.9704e-05) (hash(x)=145249251)
78
+ 1200 val loss 7.0348
79
+ 1200 val perplexity 1135.4495
80
+ 1200 train 6.909027 (lr=3.7223e-05) (hash(x)=145249251)
81
+ 1300 val loss 7.0302
82
+ 1300 val perplexity 1130.2454
83
+ 1300 train 6.915065 (lr=3.9642e-05) (hash(x)=148937127)
84
+ 1300 val loss 6.9805
85
+ 1300 val perplexity 1075.4382
86
+ 1300 train 6.872147 (lr=3.7164e-05) (hash(x)=148937127)
87
+ 1400 val loss 6.9896
88
+ 1400 val perplexity 1085.2570
89
+ 1400 train 7.110299 (lr=3.9574e-05) (hash(x)=150475545)
90
+ 1400 val loss 6.9340
91
+ 1400 val perplexity 1026.5917
92
+ 1400 train 7.049437 (lr=3.7101e-05) (hash(x)=150475545)
93
+ 1500 val loss 6.9470
94
+ 1500 val perplexity 1040.0145
95
+ 1500 train 6.867367 (lr=3.9501e-05) (hash(x)=154653428)
96
+ 1500 val loss 6.8934
97
+ 1500 val perplexity 985.7771
98
+ 1500 train 6.817115 (lr=3.7032e-05) (hash(x)=154653428)
99
+ 1600 val loss 6.8915
100
+ 1600 val perplexity 983.8972
101
+ 1600 train 6.870449 (lr=3.9421e-05) (hash(x)=144483776)
102
+ 1600 val loss 6.8501
103
+ 1600 val perplexity 944.0123
104
+ 1600 train 6.829629 (lr=3.6958e-05) (hash(x)=144483776)
105
+ 1700 val loss 6.8386
106
+ 1700 val perplexity 933.2001
107
+ 1700 train 6.987010 (lr=3.9336e-05) (hash(x)=157395496)
108
+ 1700 val loss 6.7947
109
+ 1700 val perplexity 893.0623
110
+ 1700 train 6.938875 (lr=3.6878e-05) (hash(x)=157395496)
111
+ 1800 val loss 6.7901
112
+ 1800 val perplexity 889.0110
113
+ 1800 train 6.816566 (lr=3.9246e-05) (hash(x)=157916369)
114
+ 1800 val loss 6.7504
115
+ 1800 val perplexity 854.4164
116
+ 1800 train 6.777050 (lr=3.6793e-05) (hash(x)=157916369)
117
+ 1900 val loss 6.7361
118
+ 1900 val perplexity 842.2986
119
+ 1900 train 6.936520 (lr=3.9149e-05) (hash(x)=166073923)
120
+ 1900 val loss 6.7043
121
+ 1900 val perplexity 815.8821
122
+ 1900 train 6.893992 (lr=3.6702e-05) (hash(x)=166073923)
123
+ 2000 val loss 6.6925
124
+ 2000 val perplexity 806.3372
125
+ 2000 train 6.758599 (lr=3.9047e-05) (hash(x)=154856891)
126
+ 2000 val loss 6.6664
127
+ 2000 val perplexity 785.5396
128
+ 2000 train 6.720447 (lr=3.6606e-05) (hash(x)=154856891)
129
+ 2100 val loss 6.6506
130
+ 2100 val perplexity 773.2477
131
+ 2100 train 6.643264 (lr=3.8939e-05) (hash(x)=151925203)
132
+ 2100 val loss 6.6219
133
+ 2100 val perplexity 751.3624
134
+ 2100 train 6.611493 (lr=3.6505e-05) (hash(x)=151925203)
135
+ 2200 val loss 6.6021
136
+ 2200 val perplexity 736.6467
137
+ 2200 train 6.285050 (lr=3.8826e-05) (hash(x)=136191502)
138
+ 2200 val loss 6.5854
139
+ 2200 val perplexity 724.4288
140
+ 2200 train 6.276153 (lr=3.6399e-05) (hash(x)=136191502)
141
+ 2300 val loss 6.5581
142
+ 2300 val perplexity 704.9544
143
+ 2300 train 6.756863 (lr=3.8707e-05) (hash(x)=153273362)
144
+ 2300 val loss 6.5412
145
+ 2300 val perplexity 693.0952
146
+ 2300 train 6.731654 (lr=3.6288e-05) (hash(x)=153273362)
147
+ 2400 val loss 6.5256
148
+ 2400 val perplexity 682.4135
149
+ 2400 train 6.483434 (lr=3.8583e-05) (hash(x)=148021541)
150
+ 2400 val loss 6.5070
151
+ 2400 val perplexity 669.8347
152
+ 2400 train 6.463409 (lr=3.6171e-05) (hash(x)=148021541)
153
+ 2500 val loss 6.5038
154
+ 2500 val perplexity 667.6447
155
+ 2500 train 6.450426 (lr=3.8453e-05) (hash(x)=141356608)
156
+ 2500 val loss 6.4819
157
+ 2500 val perplexity 653.2144
158
+ 2500 train 6.429843 (lr=3.6049e-05) (hash(x)=141356608)
159
+ 2600 val loss 6.4649
160
+ 2600 val perplexity 642.2280
161
+ 2600 train 6.408832 (lr=3.8317e-05) (hash(x)=146005217)
162
+ 2600 val loss 6.4501
163
+ 2600 val perplexity 632.7565
164
+ 2600 train 6.391536 (lr=3.5923e-05) (hash(x)=146005217)
165
+ 2700 val loss 6.4427
166
+ 2700 val perplexity 628.1240
167
+ 2700 train 6.285963 (lr=3.8177e-05) (hash(x)=144511718)
168
+ 2700 val loss 6.4316
169
+ 2700 val perplexity 621.1712
170
+ 2700 train 6.268011 (lr=3.5791e-05) (hash(x)=144511718)
171
+ 2800 val loss 6.4141
172
+ 2800 val perplexity 610.4131
173
+ 2800 train 6.292646 (lr=3.8031e-05) (hash(x)=146019502)
174
+ 2800 val loss 6.4099
175
+ 2800 val perplexity 607.8426
176
+ 2800 train 6.285739 (lr=3.5654e-05) (hash(x)=146019502)
177
+ 2900 val loss 6.3908
178
+ 2900 val perplexity 596.3517
179
+ 2900 train 6.300733 (lr=3.7879e-05) (hash(x)=146496200)
180
+ 2900 val loss 6.3863
181
+ 2900 val perplexity 593.6297
182
+ 2900 train 6.295756 (lr=3.5512e-05) (hash(x)=146496200)
183
+ 3000 val loss 6.3779
184
+ 3000 val perplexity 588.6973
185
+ 3000 train 6.317955 (lr=3.7723e-05) (hash(x)=150127281)
186
+ 3000 val loss 6.3716
187
+ 3000 val perplexity 585.0152
188
+ 3000 train 6.306818 (lr=3.5365e-05) (hash(x)=150127281)
189
+ 3100 val loss 6.3459
190
+ 3100 val perplexity 570.1234
191
+ 3100 train 6.339302 (lr=3.7561e-05) (hash(x)=142022255)
192
+ 3100 val loss 6.3427
193
+ 3100 val perplexity 568.3057
194
+ 3100 train 6.337442 (lr=3.5214e-05) (hash(x)=142022255)
195
+ 3200 val loss 6.3191
196
+ 3200 val perplexity 555.0615
197
+ 3200 train 6.364826 (lr=3.7394e-05) (hash(x)=154120875)
198
+ 3200 val loss 6.3214
199
+ 3200 val perplexity 556.3721
200
+ 3200 train 6.368715 (lr=3.5057e-05) (hash(x)=154120875)
201
+ 3300 val loss 6.3082
202
+ 3300 val perplexity 549.0667
203
+ 3300 train 6.397854 (lr=3.7222e-05) (hash(x)=153999717)
204
+ 3300 val loss 6.3112
205
+ 3300 val perplexity 550.6960
206
+ 3300 train 6.402353 (lr=3.4896e-05) (hash(x)=153999717)
207
+ 3400 val loss 6.2924
208
+ 3400 val perplexity 540.4279
209
+ 3400 train 6.061687 (lr=3.7045e-05) (hash(x)=139694097)
210
+ 3400 val loss 6.2955
211
+ 3400 val perplexity 542.1262
212
+ 3400 train 6.063921 (lr=3.4730e-05) (hash(x)=139694097)
213
+ 3500 val loss 6.2640
214
+ 3500 val perplexity 525.3035
215
+ 3500 train 6.456380 (lr=3.6864e-05) (hash(x)=162992732)
216
+ 3500 val loss 6.2708
217
+ 3500 val perplexity 528.8883
218
+ 3500 train 6.458117 (lr=3.4560e-05) (hash(x)=162992732)
219
+ 3600 val loss 6.2387
220
+ 3600 val perplexity 512.1668
221
+ 3600 train 6.220966 (lr=3.6677e-05) (hash(x)=147574101)
222
+ 3600 val loss 6.2449
223
+ 3600 val perplexity 515.3562
224
+ 3600 train 6.221808 (lr=3.4384e-05) (hash(x)=147574101)
225
+ 3700 val loss 6.2285
226
+ 3700 val perplexity 506.9707
227
+ 3700 train 6.337354 (lr=3.6485e-05) (hash(x)=157763099)
228
+ 3700 val loss 6.2352
229
+ 3700 val perplexity 510.4246
230
+ 3700 train 6.346001 (lr=3.4205e-05) (hash(x)=157763099)
231
+ 3800 val loss 6.2041
232
+ 3800 val perplexity 494.7653
233
+ 3800 train 6.358107 (lr=3.6289e-05) (hash(x)=170800034)
234
+ 3800 val loss 6.2118
235
+ 3800 val perplexity 498.5732
236
+ 3800 train 6.369606 (lr=3.4021e-05) (hash(x)=170800034)
237
+ 3900 val loss 6.1864
238
+ 3900 val perplexity 486.0738
239
+ 3900 train 6.273180 (lr=3.6088e-05) (hash(x)=164984528)
240
+ 3900 val loss 6.1991
241
+ 3900 val perplexity 492.2966
242
+ 3900 train 6.281530 (lr=3.3832e-05) (hash(x)=164984528)
243
+ 4000 val loss 6.1776
244
+ 4000 val perplexity 481.8339
245
+ 4000 train 6.032842 (lr=3.5882e-05) (hash(x)=141743323)
246
+ 4000 val loss 6.1853
247
+ 4000 val perplexity 485.5659
248
+ 4000 train 6.039346 (lr=3.3639e-05) (hash(x)=141743323)
249
+ 4100 val loss 6.1726
250
+ 4100 val perplexity 479.4245
251
+ 4100 train 6.199562 (lr=3.5671e-05) (hash(x)=153392872)
252
+ 4100 val loss 6.1791
253
+ 4100 val perplexity 482.5476
254
+ 4100 train 6.203568 (lr=3.3442e-05) (hash(x)=153392872)
255
+ 4200 val loss 6.1605
256
+ 4200 val perplexity 473.6565
257
+ 4200 train 6.026575 (lr=3.5457e-05) (hash(x)=149074933)
258
+ 4200 val loss 6.1702
259
+ 4200 val perplexity 478.2826
260
+ 4200 train 6.035712 (lr=3.3240e-05) (hash(x)=149074933)
261
+ 4300 val loss 6.1363
262
+ 4300 val perplexity 462.3177
263
+ 4300 train 6.520905 (lr=3.5237e-05) (hash(x)=167823423)
264
+ 4300 val loss 6.1484
265
+ 4300 val perplexity 467.9566
266
+ 4300 train 6.537424 (lr=3.3035e-05) (hash(x)=167823423)
267
+ 4400 val loss 6.1232
268
+ 4400 val perplexity 456.3228
269
+ 4400 train 5.897516 (lr=3.5014e-05) (hash(x)=141203114)
270
+ 4400 val loss 6.1266
271
+ 4400 val perplexity 457.8788
272
+ 4400 train 5.894150 (lr=3.2825e-05) (hash(x)=141203114)
273
+ 4500 val loss 6.1109
274
+ 4500 val perplexity 450.7238
275
+ 4500 train 6.109667 (lr=3.4786e-05) (hash(x)=146284780)
276
+ 4500 val loss 6.1169
277
+ 4500 val perplexity 453.4737
278
+ 4500 train 6.115213 (lr=3.2611e-05) (hash(x)=146284780)
279
+ 4600 val loss 6.0856
280
+ 4600 val perplexity 439.4913
281
+ 4600 train 5.886594 (lr=3.4553e-05) (hash(x)=141126464)
282
+ 4600 val loss 6.0963
283
+ 4600 val perplexity 444.2163
284
+ 4600 train 5.898219 (lr=3.2394e-05) (hash(x)=141126464)
285
+ 4700 val loss 6.0757
286
+ 4700 val perplexity 435.1674
287
+ 4700 train 6.099052 (lr=3.4317e-05) (hash(x)=154751926)
288
+ 4700 val loss 6.0886
289
+ 4700 val perplexity 440.7993
290
+ 4700 train 6.112273 (lr=3.2172e-05) (hash(x)=154751926)
291
+ 4800 val loss 6.0661
292
+ 4800 val perplexity 430.9826
293
+ 4800 train 6.153398 (lr=3.4077e-05) (hash(x)=154793198)
294
+ 4800 val loss 6.0750
295
+ 4800 val perplexity 434.8571
296
+ 4800 train 6.158714 (lr=3.1947e-05) (hash(x)=154793198)
297
+ 4900 val loss 6.0632
298
+ 4900 val perplexity 429.7419
299
+ 4900 train 5.780401 (lr=3.3832e-05) (hash(x)=139406392)
300
+ 4900 val loss 6.0728
301
+ 4900 val perplexity 433.8838
302
+ 4900 train 5.785733 (lr=3.1718e-05) (hash(x)=139406392)
303
+ 5000 val loss 6.0692
304
+ 5000 val perplexity 432.3254
305
+ 5000 train 5.769174 (lr=3.3584e-05) (hash(x)=153548741)
306
+ 5000 val loss 6.0797
307
+ 5000 val perplexity 436.9094
308
+ 5000 train 5.788754 (lr=3.1485e-05) (hash(x)=153548741)
309
+ 5100 val loss 6.0468
310
+ 5100 val perplexity 422.7672
311
+ 5100 train 6.134361 (lr=3.3332e-05) (hash(x)=160488568)
312
+ 5100 val loss 6.0504
313
+ 5100 val perplexity 424.3024
314
+ 5100 train 6.131473 (lr=3.1249e-05) (hash(x)=160488568)
315
+ 5200 val loss 6.0239
316
+ 5200 val perplexity 413.1979
317
+ 5200 train 6.042854 (lr=3.3076e-05) (hash(x)=149645053)
318
+ 5200 val loss 6.0349
319
+ 5200 val perplexity 417.7651
320
+ 5200 train 6.052381 (lr=3.1009e-05) (hash(x)=149645053)
321
+ 5300 val loss 6.0072
322
+ 5300 val perplexity 406.3470
323
+ 5300 train 6.109636 (lr=3.2817e-05) (hash(x)=155820556)
324
+ 5300 val loss 6.0128
325
+ 5300 val perplexity 408.6330
326
+ 5300 train 6.118703 (lr=3.0766e-05) (hash(x)=155820556)
327
+ 5400 val loss 6.0016
328
+ 5400 val perplexity 404.0920
329
+ 5400 train 5.956941 (lr=3.2554e-05) (hash(x)=147538134)
330
+ 5400 val loss 6.0048
331
+ 5400 val perplexity 405.3886
332
+ 5400 train 5.966078 (lr=3.0519e-05) (hash(x)=147538134)
333
+ 5500 val loss 5.9913
334
+ 5500 val perplexity 399.9270
335
+ 5500 val loss 5.9992
336
+ 5500 val perplexity 403.1011
337
+ 5500 train 6.199021 (lr=3.2287e-05) (hash(x)=166889307)
338
+ 5500 train 6.212953 (lr=3.0269e-05) (hash(x)=166889307)
339
+ 5600 val loss 5.9801
340
+ 5600 val perplexity 395.4617
341
+ 5600 val loss 5.9860
342
+ 5600 val perplexity 397.8206
343
+ 5600 train 5.673012 (lr=3.2017e-05) (hash(x)=139516699)
344
+ 5600 train 5.682027 (lr=3.0016e-05) (hash(x)=139516699)
345
+ 5700 val loss 5.9813
346
+ 5700 val perplexity 395.9561
347
+ 5700 val loss 5.9841
348
+ 5700 val perplexity 397.0557
349
+ 5700 train 5.668679 (lr=3.1744e-05) (hash(x)=140453511)
350
+ 5700 train 5.673424 (lr=2.9760e-05) (hash(x)=140453511)
351
+ 5800 val loss 5.9834
352
+ 5800 val perplexity 396.7742
353
+ 5800 val loss 5.9762
354
+ 5800 val perplexity 393.9481
355
+ 5800 train 5.919316 (lr=2.9501e-05) (hash(x)=162964847)
356
+ 5800 train 5.915136 (lr=3.1468e-05) (hash(x)=162964847)
357
+ 5900 val loss 5.9686
358
+ 5900 val perplexity 390.9478
359
+ 5900 val loss 5.9588
360
+ 5900 val perplexity 387.1354
361
+ 5900 train 5.979049 (lr=2.9239e-05) (hash(x)=150606634)
362
+ 5900 train 5.968227 (lr=3.1188e-05) (hash(x)=150606634)
363
+ 6000 val loss 5.9452
364
+ 6000 val perplexity 381.9059
365
+ 6000 val loss 5.9400
366
+ 6000 val perplexity 379.9167
367
+ 6000 train 6.022529 (lr=2.8974e-05) (hash(x)=149890857)
368
+ 6000 train 6.016193 (lr=3.0905e-05) (hash(x)=149890857)
369
+ 6100 val loss 5.9463
370
+ 6100 val perplexity 382.3314
371
+ 6100 val loss 5.9378
372
+ 6100 val perplexity 379.1104
373
+ 6100 train 6.042576 (lr=2.8706e-05) (hash(x)=173884145)
374
+ 6100 train 6.024965 (lr=3.0620e-05) (hash(x)=173884145)
375
+ 6200 val loss 5.9322
376
+ 6200 val perplexity 376.9831
377
+ 6200 train 5.981599 (lr=2.8436e-05) (hash(x)=151987098)
378
+ 6200 val loss 5.9273
379
+ 6200 val perplexity 375.1512
380
+ 6200 train 5.973155 (lr=3.0332e-05) (hash(x)=151987098)
381
+ 6300 val loss 5.9248
382
+ 6300 val perplexity 374.1998
383
+ 6300 train 5.873348 (lr=2.8163e-05) (hash(x)=148853562)
384
+ 6300 val loss 5.9169
385
+ 6300 val perplexity 371.2656
386
+ 6300 train 5.872821 (lr=3.0040e-05) (hash(x)=148853562)
387
+ 6400 val loss 5.9075
388
+ 6400 val perplexity 367.7746
389
+ 6400 train 5.657629 (lr=2.7888e-05) (hash(x)=141530101)
390
+ 6400 val loss 5.9059
391
+ 6400 val perplexity 367.2035
392
+ 6400 train 5.655657 (lr=2.9747e-05) (hash(x)=141530101)
393
+ 6500 val loss 5.9027
394
+ 6500 val perplexity 366.0108
395
+ 6500 train 5.775737 (lr=2.7610e-05) (hash(x)=142297809)
396
+ 6500 val loss 5.8991
397
+ 6500 val perplexity 364.7047
398
+ 6500 train 5.765725 (lr=2.9450e-05) (hash(x)=142297809)
399
+ 6600 val loss 5.8898
400
+ 6600 val perplexity 361.3448
401
+ 6600 train 5.793635 (lr=2.7330e-05) (hash(x)=142447782)
402
+ 6600 val loss 5.8855
403
+ 6600 val perplexity 359.7716
404
+ 6600 train 5.786078 (lr=2.9152e-05) (hash(x)=142447782)
405
+ 6700 val loss 5.8867
406
+ 6700 val perplexity 360.1985
407
+ 6700 train 5.903491 (lr=2.7047e-05) (hash(x)=147004686)
408
+ 6700 val loss 5.8801
409
+ 6700 val perplexity 357.8412
410
+ 6700 train 5.886856 (lr=2.8851e-05) (hash(x)=147004686)
411
+ 6800 val loss 5.8747
412
+ 6800 val perplexity 355.9338
413
+ 6800 train 5.617948 (lr=2.6763e-05) (hash(x)=133438702)
414
+ 6800 val loss 5.8695
415
+ 6800 val perplexity 354.0645
416
+ 6800 train 5.611340 (lr=2.8547e-05) (hash(x)=133438702)
417
+ 6900 val loss 5.8742
418
+ 6900 val perplexity 355.7494
419
+ 6900 train 5.898749 (lr=2.6477e-05) (hash(x)=157085143)
420
+ 6900 val loss 5.8642
421
+ 6900 val perplexity 352.1968
422
+ 6900 train 5.878542 (lr=2.8242e-05) (hash(x)=157085143)
423
+ 7000 val loss 5.8634
424
+ 7000 val perplexity 351.9237
425
+ 7000 train 5.731717 (lr=2.6188e-05) (hash(x)=139437666)
426
+ 7000 val loss 5.8582
427
+ 7000 val perplexity 350.1105
428
+ 7000 train 5.736189 (lr=2.7934e-05) (hash(x)=139437666)
429
+ 7100 val loss 5.8561
430
+ 7100 val perplexity 349.3535
431
+ 7100 train 5.863669 (lr=2.5898e-05) (hash(x)=159792986)
432
+ 7100 val loss 5.8547
433
+ 7100 val perplexity 348.8631
434
+ 7100 train 5.865206 (lr=2.7624e-05) (hash(x)=159792986)
435
+ 7200 val loss 5.8377
436
+ 7200 val perplexity 343.0039
437
+ 7200 train 5.823919 (lr=2.5606e-05) (hash(x)=144930687)
438
+ 7200 val loss 5.8343
439
+ 7200 val perplexity 341.8415
440
+ 7200 train 5.824814 (lr=2.7313e-05) (hash(x)=144930687)
441
+ 7300 val loss 5.8308
442
+ 7300 val perplexity 340.6451
443
+ 7300 train 5.878428 (lr=2.5312e-05) (hash(x)=156242690)
444
+ 7300 val loss 5.8277
445
+ 7300 val perplexity 339.5932
446
+ 7300 train 5.873379 (lr=2.7000e-05) (hash(x)=156242690)
447
+ 7400 val loss 5.8255
448
+ 7400 val perplexity 338.8294
449
+ 7400 train 5.659531 (lr=2.5017e-05) (hash(x)=148183719)
450
+ 7400 val loss 5.8215
451
+ 7400 val perplexity 337.4912
452
+ 7400 train 5.649005 (lr=2.6685e-05) (hash(x)=148183719)
453
+ 7500 val loss 5.8227
454
+ 7500 val perplexity 337.8752
455
+ 7500 train 5.865096 (lr=2.4721e-05) (hash(x)=152494758)
456
+ 7500 val loss 5.8188
457
+ 7500 val perplexity 336.5761
458
+ 7500 train 5.859860 (lr=2.6369e-05) (hash(x)=152494758)
459
+ 7600 val loss 5.8145
460
+ 7600 val perplexity 335.1399
461
+ 7600 train 5.515101 (lr=2.4423e-05) (hash(x)=142485027)
462
+ 7600 val loss 5.8094
463
+ 7600 val perplexity 333.4160
464
+ 7600 train 5.511698 (lr=2.6051e-05) (hash(x)=142485027)
465
+ 7700 val loss 5.8187
466
+ 7700 val perplexity 336.5345
467
+ 7700 train 5.678254 (lr=2.4124e-05) (hash(x)=147512165)
468
+ 7700 val loss 5.8137
469
+ 7700 val perplexity 334.8448
470
+ 7700 train 5.674353 (lr=2.5732e-05) (hash(x)=147512165)
471
+ 7800 val loss 5.7926
472
+ 7800 val perplexity 327.8691
473
+ 7800 train 5.652011 (lr=2.3823e-05) (hash(x)=160346994)
474
+ 7800 val loss 5.7872
475
+ 7800 val perplexity 326.1078
476
+ 7800 train 5.648951 (lr=2.5411e-05) (hash(x)=160346994)
477
+ 7900 val loss 5.7913
478
+ 7900 val perplexity 327.4312
479
+ 7900 train 5.658368 (lr=2.3522e-05) (hash(x)=144488254)
480
+ 7900 val loss 5.7874
481
+ 7900 val perplexity 326.1503
482
+ 7900 train 5.653071 (lr=2.5090e-05) (hash(x)=144488254)
483
+ 8000 val loss 5.7809
484
+ 8000 val perplexity 324.0535
485
+ 8000 train 5.590876 (lr=2.3219e-05) (hash(x)=147637019)
486
+ 8000 val loss 5.7754
487
+ 8000 val perplexity 322.2737
488
+ 8000 train 5.578671 (lr=2.4767e-05) (hash(x)=147637019)
489
+ 8100 val loss 5.7795
490
+ 8100 val perplexity 323.5949
491
+ 8100 train 5.633208 (lr=2.2916e-05) (hash(x)=147340534)
492
+ 8100 val loss 5.7713
493
+ 8100 val perplexity 320.9568
494
+ 8100 train 5.619842 (lr=2.4444e-05) (hash(x)=147340534)
495
+ 8200 val loss 5.7721
496
+ 8200 val perplexity 321.2093
497
+ 8200 train 5.837082 (lr=2.2612e-05) (hash(x)=151630665)
498
+ 8200 val loss 5.7666
499
+ 8200 val perplexity 319.4461
500
+ 8200 train 5.828109 (lr=2.4120e-05) (hash(x)=151630665)
501
+ 8300 val loss 5.7654
502
+ 8300 val perplexity 319.0818
503
+ 8300 train 5.883111 (lr=2.2308e-05) (hash(x)=149747064)
504
+ 8300 val loss 5.7570
505
+ 8300 val perplexity 316.3929
506
+ 8300 train 5.867330 (lr=2.3795e-05) (hash(x)=149747064)
507
+ 8400 val loss 5.7532
508
+ 8400 val perplexity 315.2084
509
+ 8400 train 5.950338 (lr=2.2002e-05) (hash(x)=154245770)
510
+ 8400 val loss 5.7465
511
+ 8400 val perplexity 313.1074
512
+ 8400 train 5.948621 (lr=2.3469e-05) (hash(x)=154245770)
513
+ 8500 val loss 5.7487
514
+ 8500 val perplexity 313.7896
515
+ 8500 train 5.641779 (lr=2.1697e-05) (hash(x)=152559100)
516
+ 8500 val loss 5.7415
517
+ 8500 val perplexity 311.5444
518
+ 8500 train 5.632651 (lr=2.3143e-05) (hash(x)=152559100)
519
+ 8600 val loss 5.7416
520
+ 8600 val perplexity 311.5613
521
+ 8600 train 6.123217 (lr=2.1391e-05) (hash(x)=181365926)
522
+ 8600 val loss 5.7348
523
+ 8600 val perplexity 309.4497
524
+ 8600 train 6.199018 (lr=2.2817e-05) (hash(x)=181365926)
525
+ 8700 val loss 5.7373
526
+ 8700 val perplexity 310.2185
527
+ 8700 train 5.554934 (lr=2.1085e-05) (hash(x)=154405991)
528
+ 8700 val loss 5.7295
529
+ 8700 val perplexity 307.8279
530
+ 8700 train 5.545577 (lr=2.2490e-05) (hash(x)=154405991)
531
+ 8800 val loss 5.7307
532
+ 8800 val perplexity 308.1836
533
+ 8800 train 5.675156 (lr=2.0778e-05) (hash(x)=153755904)
534
+ 8800 val loss 5.7258
535
+ 8800 val perplexity 306.6717
536
+ 8800 train 5.667483 (lr=2.2163e-05) (hash(x)=153755904)
537
+ 8900 val loss 5.7295
538
+ 8900 val perplexity 307.8115
539
+ 8900 train 5.641292 (lr=2.0472e-05) (hash(x)=152120568)
540
+ 8900 val loss 5.7224
541
+ 8900 val perplexity 305.6432
542
+ 8900 train 5.628521 (lr=2.1837e-05) (hash(x)=152120568)
543
+ 9000 val loss 5.7100
544
+ 9000 val perplexity 301.8787
545
+ 9000 train 5.497505 (lr=2.0165e-05) (hash(x)=142797279)
546
+ 9000 val loss 5.7040
547
+ 9000 val perplexity 300.0584
548
+ 9000 train 5.486934 (lr=2.1510e-05) (hash(x)=142797279)
549
+ 9100 val loss 5.7074
550
+ 9100 val perplexity 301.0725
551
+ 9100 train 5.575232 (lr=1.9859e-05) (hash(x)=143037503)
552
+ 9100 val loss 5.7013
553
+ 9100 val perplexity 299.2558
554
+ 9100 train 5.568914 (lr=2.1183e-05) (hash(x)=143037503)
555
+ 9200 val loss 5.7056
556
+ 9200 val perplexity 300.5474
557
+ 9200 train 5.608702 (lr=1.9553e-05) (hash(x)=113690273)
558
+ 9200 val loss 5.7053
559
+ 9200 val perplexity 300.4619
560
+ 9200 train 5.586547 (lr=2.0857e-05) (hash(x)=113690273)
561
+ 9300 val loss 5.7022
562
+ 9300 val perplexity 299.5243
563
+ 9300 train 5.628353 (lr=1.9248e-05) (hash(x)=158025077)
564
+ 9300 val loss 5.6996
565
+ 9300 val perplexity 298.7454
566
+ 9300 train 5.619718 (lr=2.0531e-05) (hash(x)=158025077)
567
+ 9400 val loss 5.6929
568
+ 9400 val perplexity 296.7406
569
+ 9400 train 5.779068 (lr=1.8942e-05) (hash(x)=158251718)
570
+ 9400 val loss 5.6887
571
+ 9400 val perplexity 295.5107
572
+ 9400 train 5.765107 (lr=2.0205e-05) (hash(x)=158251718)
573
+ 9500 val loss 5.6903
574
+ 9500 val perplexity 295.9885
575
+ 9500 train 5.730006 (lr=1.8638e-05) (hash(x)=154752610)
576
+ 9500 val loss 5.6844
577
+ 9500 val perplexity 294.2540
578
+ 9500 train 5.725028 (lr=1.9880e-05) (hash(x)=154752610)
579
+ 9600 val loss 5.6897
580
+ 9600 val perplexity 295.8063
581
+ 9600 train 5.563871 (lr=1.8334e-05) (hash(x)=146889093)
582
+ 9600 val loss 5.6851
583
+ 9600 val perplexity 294.4477
584
+ 9600 train 5.557839 (lr=1.9556e-05) (hash(x)=146889093)
585
+ 9700 val loss 5.6745
586
+ 9700 val perplexity 291.3521
587
+ 9700 train 5.681897 (lr=1.8031e-05) (hash(x)=156906516)
588
+ 9700 val loss 5.6738
589
+ 9700 val perplexity 291.1449
590
+ 9700 train 5.681110 (lr=1.9233e-05) (hash(x)=156906516)
591
+ 9800 val loss 5.6750
592
+ 9800 val perplexity 291.4800
593
+ 9800 train 5.498330 (lr=1.7728e-05) (hash(x)=153841927)
594
+ 9800 val loss 5.6701
595
+ 9800 val perplexity 290.0769
596
+ 9800 train 5.493529 (lr=1.8910e-05) (hash(x)=153841927)
597
+ 9900 val loss 5.6684
598
+ 9900 val perplexity 289.5805
599
+ 9900 train 5.881992 (lr=1.7427e-05) (hash(x)=163514334)
600
+ 9900 val loss 5.6649
601
+ 9900 val perplexity 288.5633
602
+ 9900 train 5.892396 (lr=1.8589e-05) (hash(x)=163514334)
603
+ 10000 val loss 5.6602
604
+ 10000 val perplexity 287.2001
605
+ 10000 train 5.660645 (lr=1.7126e-05) (hash(x)=144745561)
606
+ 10000 val loss 5.6588
607
+ 10000 val perplexity 286.8079
608
+ 10000 train 5.661840 (lr=1.8268e-05) (hash(x)=144745561)
609
+ 10100 val loss 5.6585
610
+ 10100 val perplexity 286.7325
611
+ 10100 train 5.867241 (lr=1.6827e-05) (hash(x)=161651149)
612
+ 10100 val loss 5.6526
613
+ 10100 val perplexity 285.0405
614
+ 10100 train 5.874568 (lr=1.7949e-05) (hash(x)=161651149)
615
+ 10200 val loss 5.6528
616
+ 10200 val perplexity 285.0913
617
+ 10200 train 5.593501 (lr=1.6529e-05) (hash(x)=143667037)
618
+ 10200 val loss 5.6487
619
+ 10200 val perplexity 283.9085
620
+ 10200 train 5.592046 (lr=1.7631e-05) (hash(x)=143667037)
621
+ 10300 val loss 5.6470
622
+ 10300 val perplexity 283.4483
623
+ 10300 train 5.547844 (lr=1.6233e-05) (hash(x)=151687262)
624
+ 10300 val loss 5.6406
625
+ 10300 val perplexity 281.6277
626
+ 10300 train 5.535870 (lr=1.7315e-05) (hash(x)=151687262)
627
+ 10400 val loss 5.6433
628
+ 10400 val perplexity 282.4055
629
+ 10400 train 5.484274 (lr=1.5938e-05) (hash(x)=153694955)
630
+ 10400 val loss 5.6398
631
+ 10400 val perplexity 281.4023
632
+ 10400 train 5.489096 (lr=1.7000e-05) (hash(x)=153694955)
633
+ 10500 val loss 5.6450
634
+ 10500 val perplexity 282.8637
635
+ 10500 train 5.608533 (lr=1.5644e-05) (hash(x)=150218029)
636
+ 10500 val loss 5.6402
637
+ 10500 val perplexity 281.5293
638
+ 10500 train 5.590641 (lr=1.6687e-05) (hash(x)=150218029)
639
+ 10600 val loss 5.6364
640
+ 10600 val perplexity 280.4643
641
+ 10600 train 5.713663 (lr=1.5352e-05) (hash(x)=155093716)
642
+ 10600 val loss 5.6319
643
+ 10600 val perplexity 279.2037
644
+ 10600 train 5.725809 (lr=1.6376e-05) (hash(x)=155093716)
645
+ 10700 val loss 5.6334
646
+ 10700 val perplexity 279.6174
647
+ 10700 train 5.679636 (lr=1.5062e-05) (hash(x)=151631831)
648
+ 10700 val loss 5.6294
649
+ 10700 val perplexity 278.4958
650
+ 10700 train 5.668282 (lr=1.6066e-05) (hash(x)=151631831)
651
+ 10800 val loss 5.6237
652
+ 10800 val perplexity 276.9008
653
+ 10800 train 5.483255 (lr=1.4773e-05) (hash(x)=136465175)
654
+ 10800 val loss 5.6205
655
+ 10800 val perplexity 276.0296
656
+ 10800 train 5.474095 (lr=1.5758e-05) (hash(x)=136465175)
657
+ 10900 val loss 5.6199
658
+ 10900 val perplexity 275.8506
659
+ 10900 train 5.563373 (lr=1.4487e-05) (hash(x)=154461514)
660
+ 10900 val loss 5.6162
661
+ 10900 val perplexity 274.8297
662
+ 10900 train 5.551686 (lr=1.5453e-05) (hash(x)=154461514)
663
+ 11000 val loss 5.6188
664
+ 11000 val perplexity 275.5578
665
+ 11000 train 5.614881 (lr=1.4203e-05) (hash(x)=141877432)
666
+ 11000 val loss 5.6164
667
+ 11000 val perplexity 274.8996
668
+ 11000 train 5.623027 (lr=1.5149e-05) (hash(x)=141877432)
669
+ 11100 val loss 5.6162
670
+ 11100 val perplexity 274.8346
671
+ 11100 train 5.416177 (lr=1.3920e-05) (hash(x)=139572894)
672
+ 11100 val loss 5.6148
673
+ 11100 val perplexity 274.4604
674
+ 11100 train 5.399756 (lr=1.4848e-05) (hash(x)=139572894)
675
+ 11200 val loss 5.6093
676
+ 11200 val perplexity 272.9595
677
+ 11200 train 5.661036 (lr=1.3640e-05) (hash(x)=155591443)
678
+ 11200 val loss 5.6064
679
+ 11200 val perplexity 272.1530
680
+ 11200 train 5.648377 (lr=1.4550e-05) (hash(x)=155591443)
681
+ 11300 val loss 5.6051
682
+ 11300 val perplexity 271.8068
683
+ 11300 train 5.629344 (lr=1.3362e-05) (hash(x)=153349136)
684
+ 11300 val loss 5.6002
685
+ 11300 val perplexity 270.4747
686
+ 11300 train 5.617316 (lr=1.4253e-05) (hash(x)=153349136)
687
+ 11400 val loss 5.6023
688
+ 11400 val perplexity 271.0404
689
+ 11400 train 5.567253 (lr=1.3087e-05) (hash(x)=148109395)
690
+ 11400 val loss 5.5999
691
+ 11400 val perplexity 270.3969
692
+ 11400 train 5.561288 (lr=1.3960e-05) (hash(x)=148109395)
693
+ 11500 val loss 5.5961
694
+ 11500 val perplexity 269.3818
695
+ 11500 train 5.594827 (lr=1.2814e-05) (hash(x)=153276620)
696
+ 11500 val loss 5.5965
697
+ 11500 val perplexity 269.4873
698
+ 11500 train 5.585786 (lr=1.3668e-05) (hash(x)=153276620)
699
+ 11600 val loss 5.5967
700
+ 11600 val perplexity 269.5294
701
+ 11600 train 5.451655 (lr=1.2544e-05) (hash(x)=151416388)
702
+ 11600 val loss 5.5949
703
+ 11600 val perplexity 269.0572
704
+ 11600 train 5.447572 (lr=1.3380e-05) (hash(x)=151416388)
705
+ 11700 val loss 5.5911
706
+ 11700 val perplexity 268.0205
707
+ 11700 train 5.459873 (lr=1.2276e-05) (hash(x)=143420927)
708
+ 11700 val loss 5.5915
709
+ 11700 val perplexity 268.1421
710
+ 11700 train 5.464094 (lr=1.3095e-05) (hash(x)=143420927)
711
+ 11800 val loss 5.5852
712
+ 11800 val perplexity 266.4524
713
+ 11800 train 5.646354 (lr=1.2011e-05) (hash(x)=165023996)
714
+ 11800 val loss 5.5853
715
+ 11800 val perplexity 266.4740
716
+ 11800 train 5.645120 (lr=1.2812e-05) (hash(x)=165023996)
717
+ 11900 val loss 5.5815
718
+ 11900 val perplexity 265.4713
719
+ 11900 train 5.492278 (lr=1.1749e-05) (hash(x)=144465076)
720
+ 11900 val loss 5.5815
721
+ 11900 val perplexity 265.4736
722
+ 11900 train 5.497354 (lr=1.2532e-05) (hash(x)=144465076)
723
+ 12000 val loss 5.5786
724
+ 12000 val perplexity 264.6908
725
+ 12000 train 5.593943 (lr=1.1490e-05) (hash(x)=155991892)
726
+ 12000 val loss 5.5800
727
+ 12000 val perplexity 265.0674
728
+ 12000 train 5.586502 (lr=1.2256e-05) (hash(x)=155991892)
729
+ 12100 val loss 5.5768
730
+ 12100 val perplexity 264.2198
731
+ 12100 train 5.636679 (lr=1.1234e-05) (hash(x)=150748844)
732
+ 12100 val loss 5.5766
733
+ 12100 val perplexity 264.1783
734
+ 12100 train 5.618644 (lr=1.1983e-05) (hash(x)=150748844)
735
+ 12200 val loss 5.5723
736
+ 12200 val perplexity 263.0429
737
+ 12200 train 5.549607 (lr=1.0981e-05) (hash(x)=149712638)
738
+ 12200 val loss 5.5750
739
+ 12200 val perplexity 263.7563
740
+ 12200 train 5.538714 (lr=1.1713e-05) (hash(x)=149712638)
741
+ 12300 val loss 5.5712
742
+ 12300 val perplexity 262.7422
743
+ 12300 train 5.405864 (lr=1.0731e-05) (hash(x)=140428230)
744
+ 12300 val loss 5.5733
745
+ 12300 val perplexity 263.2964
746
+ 12300 train 5.391379 (lr=1.1446e-05) (hash(x)=140428230)
747
+ 12400 val loss 5.5672
748
+ 12400 val perplexity 261.6985
749
+ 12400 train 5.755335 (lr=1.0484e-05) (hash(x)=163614308)
750
+ 12400 val loss 5.5704
751
+ 12400 val perplexity 262.5314
752
+ 12400 train 5.759508 (lr=1.1183e-05) (hash(x)=163614308)
753
+ 12500 val loss 5.5616
754
+ 12500 val perplexity 260.2372
755
+ 12500 train 5.527299 (lr=1.0241e-05) (hash(x)=153366153)
756
+ 12500 val loss 5.5650
757
+ 12500 val perplexity 261.1380
758
+ 12500 train 5.530119 (lr=1.0924e-05) (hash(x)=153366153)
759
+ 12600 val loss 5.5603
760
+ 12600 val perplexity 259.9073
761
+ 12600 train 5.462679 (lr=1.0001e-05) (hash(x)=146832066)
762
+ 12600 val loss 5.5609
763
+ 12600 val perplexity 260.0463
764
+ 12600 train 5.458662 (lr=1.0668e-05) (hash(x)=146832066)
765
+ 12700 val loss 5.5565
766
+ 12700 val perplexity 258.9038
767
+ 12700 train 5.727844 (lr=9.7649e-06) (hash(x)=154387414)
768
+ 12700 val loss 5.5582
769
+ 12700 val perplexity 259.3439
770
+ 12700 train 5.738986 (lr=1.0416e-05) (hash(x)=154387414)
771
+ 12800 val loss 5.5547
772
+ 12800 val perplexity 258.4451
773
+ 12800 train 5.350515 (lr=9.5322e-06) (hash(x)=139465199)
774
+ 12800 val loss 5.5582
775
+ 12800 val perplexity 259.3517
776
+ 12800 train 5.345707 (lr=1.0168e-05) (hash(x)=139465199)
777
+ 12900 val loss 5.5572
778
+ 12900 val perplexity 259.1073
779
+ 12900 train 5.270021 (lr=9.3031e-06) (hash(x)=143326374)
780
+ 12900 val loss 5.5619
781
+ 12900 val perplexity 260.3083
782
+ 12900 train 5.270081 (lr=9.9233e-06) (hash(x)=143326374)
783
+ 13000 val loss 5.5495
784
+ 13000 val perplexity 257.0962
785
+ 13000 train 5.705108 (lr=9.0777e-06) (hash(x)=158817835)
786
+ 13000 val loss 5.5532
787
+ 13000 val perplexity 258.0558
788
+ 13000 train 5.713244 (lr=9.6829e-06) (hash(x)=158817835)
789
+ 13100 val loss 5.5475
790
+ 13100 val perplexity 256.5825
791
+ 13100 train 5.430533 (lr=8.8562e-06) (hash(x)=142027874)
792
+ 13100 val loss 5.5516
793
+ 13100 val perplexity 257.6517
794
+ 13100 train 5.431653 (lr=9.4466e-06) (hash(x)=142027874)
795
+ 13200 val loss 5.5475
796
+ 13200 val perplexity 256.5872
797
+ 13200 train 5.537900 (lr=8.6385e-06) (hash(x)=148497730)
798
+ 13200 val loss 5.5520
799
+ 13200 val perplexity 257.7479
800
+ 13200 train 5.548100 (lr=9.2144e-06) (hash(x)=148497730)
801
+ 13300 val loss 5.5442
802
+ 13300 val perplexity 255.7459
803
+ 13300 train 5.453057 (lr=8.4248e-06) (hash(x)=148094633)
804
+ 13300 val loss 5.5486
805
+ 13300 val perplexity 256.8882
806
+ 13300 train 5.450683 (lr=8.9865e-06) (hash(x)=148094633)
807
+ 13400 val loss 5.5415
808
+ 13400 val perplexity 255.0583
809
+ 13400 train 5.401995 (lr=8.2151e-06) (hash(x)=150548214)
810
+ 13400 val loss 5.5463
811
+ 13400 val perplexity 256.2863
812
+ 13400 train 5.412838 (lr=8.7628e-06) (hash(x)=150548214)
813
+ 13500 val loss 5.5343
814
+ 13500 val perplexity 253.2366
815
+ 13500 train 5.648559 (lr=8.0095e-06) (hash(x)=152789725)
816
+ 13500 val loss 5.5386
817
+ 13500 val perplexity 254.3236
818
+ 13500 train 5.658669 (lr=8.5435e-06) (hash(x)=152789725)
819
+ 13600 val loss 5.5324
820
+ 13600 val perplexity 252.7610
821
+ 13600 train 5.580656 (lr=7.8081e-06) (hash(x)=153220230)
822
+ 13600 val loss 5.5382
823
+ 13600 val perplexity 254.2139
824
+ 13600 train 5.585834 (lr=8.3286e-06) (hash(x)=153220230)
825
+ 13700 val loss 5.5300
826
+ 13700 val perplexity 252.1347
827
+ 13700 train 5.558973 (lr=7.6109e-06) (hash(x)=147805699)
828
+ 13700 val loss 5.5359
829
+ 13700 val perplexity 253.6477
830
+ 13700 train 5.559258 (lr=8.1183e-06) (hash(x)=147805699)
831
+ 13800 val loss 5.5312
832
+ 13800 val perplexity 252.4363
833
+ 13800 train 5.333395 (lr=7.4180e-06) (hash(x)=146267341)
834
+ 13800 val loss 5.5364
835
+ 13800 val perplexity 253.7737
836
+ 13800 train 5.335834 (lr=7.9125e-06) (hash(x)=146267341)
837
+ 13900 val loss 5.5294
838
+ 13900 val perplexity 251.9943
839
+ 13900 train 5.370362 (lr=7.2294e-06) (hash(x)=139467501)
840
+ 13900 val loss 5.5355
841
+ 13900 val perplexity 253.5304
842
+ 13900 train 5.370989 (lr=7.7114e-06) (hash(x)=139467501)
843
+ 14000 val loss 5.5268
844
+ 14000 val perplexity 251.3447
845
+ 14000 train 5.544614 (lr=7.0452e-06) (hash(x)=152185436)
846
+ 14000 val loss 5.5326
847
+ 14000 val perplexity 252.8019
848
+ 14000 train 5.543988 (lr=7.5149e-06) (hash(x)=152185436)
849
+ 14100 val loss 5.5214
850
+ 14100 val perplexity 249.9880
851
+ 14100 train 5.653395 (lr=6.8656e-06) (hash(x)=176479139)
852
+ 14100 val loss 5.5266
853
+ 14100 val perplexity 251.2776
854
+ 14100 train 5.652701 (lr=7.3233e-06) (hash(x)=176479139)
855
+ 14200 val loss 5.5177
856
+ 14200 val perplexity 249.0710
857
+ 14200 train 5.586637 (lr=6.6904e-06) (hash(x)=151052040)
858
+ 14200 val loss 5.5232
859
+ 14200 val perplexity 250.4466
860
+ 14200 train 5.617471 (lr=7.1365e-06) (hash(x)=151052040)
861
+ 14300 val loss 5.5162
862
+ 14300 val perplexity 248.6834
863
+ 14300 train 5.463811 (lr=6.5199e-06) (hash(x)=149668097)
864
+ 14300 val loss 5.5228
865
+ 14300 val perplexity 250.3304
866
+ 14300 train 5.468355 (lr=6.9546e-06) (hash(x)=149668097)
867
+ 14400 val loss 5.5139
868
+ 14400 val perplexity 248.1140
869
+ 14400 train 5.528412 (lr=6.3540e-06) (hash(x)=151761941)
870
+ 14400 val loss 5.5212
871
+ 14400 val perplexity 249.9304
872
+ 14400 train 5.533862 (lr=6.7776e-06) (hash(x)=151761941)
873
+ 14500 val loss 5.5126
874
+ 14500 val perplexity 247.7880
875
+ 14500 train 5.466975 (lr=6.1928e-06) (hash(x)=149412009)
876
+ 14500 val loss 5.5209
877
+ 14500 val perplexity 249.8611
878
+ 14500 train 5.474593 (lr=6.6057e-06) (hash(x)=149412009)
879
+ 14600 val loss 5.5100
880
+ 14600 val perplexity 247.1472
881
+ 14600 train 5.396197 (lr=6.0364e-06) (hash(x)=145048020)
882
+ 14600 val loss 5.5190
883
+ 14600 val perplexity 249.3952
884
+ 14600 train 5.388847 (lr=6.4389e-06) (hash(x)=145048020)
885
+ 14700 val loss 5.5088
886
+ 14700 val perplexity 246.8573
887
+ 14700 train 5.466370 (lr=5.8848e-06) (hash(x)=141771666)
888
+ 14700 val loss 5.5155
889
+ 14700 val perplexity 248.5044
890
+ 14700 train 5.491771 (lr=6.2771e-06) (hash(x)=141771666)
891
+ 14800 val loss 5.5046
892
+ 14800 val perplexity 245.8187
893
+ 14800 train 5.430891 (lr=5.7381e-06) (hash(x)=148759740)
894
+ 14800 val loss 5.5129
895
+ 14800 val perplexity 247.8759
896
+ 14800 train 5.436740 (lr=6.1206e-06) (hash(x)=148759740)
897
+ 14900 val loss 5.5054
898
+ 14900 val perplexity 246.0100
899
+ 14900 train 5.428713 (lr=5.5962e-06) (hash(x)=146287032)
900
+ 14900 val loss 5.5117
901
+ 14900 val perplexity 247.5706
902
+ 14900 train 5.434009 (lr=5.9693e-06) (hash(x)=146287032)
903
+ 15000 val loss 5.5023
904
+ 15000 val perplexity 245.2603
905
+ 15000 train 5.454094 (lr=5.4593e-06) (hash(x)=143519156)
906
+ 15000 val loss 5.5109
907
+ 15000 val perplexity 247.3839
908
+ 15000 train 5.461970 (lr=5.8233e-06) (hash(x)=143519156)
909
+ 15100 val loss 5.5041
910
+ 15100 val perplexity 245.6988
911
+ 15100 train 5.487119 (lr=5.3275e-06) (hash(x)=151330688)
912
+ 15100 val loss 5.5128
913
+ 15100 val perplexity 247.8524
914
+ 15100 train 5.504098 (lr=5.6826e-06) (hash(x)=151330688)
915
+ 15200 val loss 5.5066
916
+ 15200 val perplexity 246.3017
917
+ 15200 train 5.317483 (lr=5.2006e-06) (hash(x)=140380090)
918
+ 15200 val loss 5.5160
919
+ 15200 val perplexity 248.6277
920
+ 15200 train 5.312330 (lr=5.5473e-06) (hash(x)=140380090)
921
+ 15300 val loss 5.5005
922
+ 15300 val perplexity 244.8256
923
+ 15300 train 5.412379 (lr=5.0789e-06) (hash(x)=152598160)
924
+ 15300 val loss 5.5097
925
+ 15300 val perplexity 247.0870
926
+ 15300 train 5.410718 (lr=5.4175e-06) (hash(x)=152598160)
927
+ 15400 val loss 5.4954
928
+ 15400 val perplexity 243.5679
929
+ 15400 train 5.733170 (lr=4.9622e-06) (hash(x)=164136966)
930
+ 15400 val loss 5.5048
931
+ 15400 val perplexity 245.8654
932
+ 15400 train 5.783056 (lr=5.2931e-06) (hash(x)=164136966)
933
+ 15500 val loss 5.4956
934
+ 15500 val perplexity 243.6188
935
+ 15500 train 5.700720 (lr=4.8508e-06) (hash(x)=158733990)
936
+ 15500 val loss 5.5042
937
+ 15500 val perplexity 245.7172
938
+ 15500 train 5.723475 (lr=5.1742e-06) (hash(x)=158733990)
939
+ 15600 val loss 5.4928
940
+ 15600 val perplexity 242.9356
941
+ 15600 train 5.540652 (lr=4.7445e-06) (hash(x)=149149390)
942
+ 15600 val loss 5.5022
943
+ 15600 val perplexity 245.2186
944
+ 15600 train 5.534406 (lr=5.0608e-06) (hash(x)=149149390)
945
+ 15700 val loss 5.4914
946
+ 15700 val perplexity 242.6066
947
+ 15700 train 5.446640 (lr=4.6435e-06) (hash(x)=146746394)
948
+ 15700 val loss 5.5010
949
+ 15700 val perplexity 244.9401
950
+ 15700 train 5.453232 (lr=4.9531e-06) (hash(x)=146746394)
951
+ 15800 val loss 5.4919
952
+ 15800 val perplexity 242.7099
953
+ 15800 train 5.509732 (lr=4.5478e-06) (hash(x)=159405219)
954
+ 15800 val loss 5.5007
955
+ 15800 val perplexity 244.8553
956
+ 15800 train 5.518862 (lr=4.8509e-06) (hash(x)=159405219)
957
+ 15900 val loss 5.4900
958
+ 15900 val perplexity 242.2480
959
+ 15900 train 5.523585 (lr=4.4573e-06) (hash(x)=154034029)
960
+ 15900 val loss 5.4997
961
+ 15900 val perplexity 244.6285
962
+ 15900 train 5.526865 (lr=4.7545e-06) (hash(x)=154034029)
963
+ 16000 val loss 5.4874
964
+ 16000 val perplexity 241.6343
965
+ 16000 train 5.489702 (lr=4.3722e-06) (hash(x)=153634210)
966
+ 16000 val loss 5.4971
967
+ 16000 val perplexity 243.9921
968
+ 16000 train 5.506591 (lr=4.6637e-06) (hash(x)=153634210)
969
+ 16100 val loss 5.4855
970
+ 16100 val perplexity 241.1760
971
+ 16100 train 5.418263 (lr=4.2924e-06) (hash(x)=155646721)
972
+ 16100 val loss 5.4950
973
+ 16100 val perplexity 243.4680
974
+ 16100 train 5.423606 (lr=4.5786e-06) (hash(x)=155646721)
975
+ 16200 val loss 5.4849
976
+ 16200 val perplexity 241.0224
977
+ 16200 train 5.405526 (lr=4.2180e-06) (hash(x)=142461643)
978
+ 16200 val loss 5.4950
979
+ 16200 val perplexity 243.4673
980
+ 16200 train 5.413839 (lr=4.4993e-06) (hash(x)=142461643)
981
+ 16300 val loss 5.4845
982
+ 16300 val perplexity 240.9184
983
+ 16300 train 5.398604 (lr=4.1491e-06) (hash(x)=141080038)
984
+ 16300 val loss 5.4945
985
+ 16300 val perplexity 243.3531
986
+ 16300 train 5.393754 (lr=4.4257e-06) (hash(x)=141080038)
987
+ 16400 val loss 5.4839
988
+ 16400 val perplexity 240.7880
989
+ 16400 train 5.485754 (lr=4.0856e-06) (hash(x)=153744166)
990
+ 16400 val loss 5.4943
991
+ 16400 val perplexity 243.2899
992
+ 16400 train 5.506991 (lr=4.3579e-06) (hash(x)=153744166)
993
+ 16500 val loss 5.4868
994
+ 16500 val perplexity 241.4812
995
+ 16500 train 5.307953 (lr=4.0275e-06) (hash(x)=149783517)
996
+ 16500 val loss 5.4972
997
+ 16500 val perplexity 243.9996
998
+ 16500 train 5.306321 (lr=4.2960e-06) (hash(x)=149783517)
999
+ 16600 val loss 5.4881
1000
+ 16600 val perplexity 241.7923
1001
+ 16600 train 5.334898 (lr=3.9749e-06) (hash(x)=142659127)
1002
+ 16600 val loss 5.4990
1003
+ 16600 val perplexity 244.4431
1004
+ 16600 train 5.331096 (lr=4.2399e-06) (hash(x)=142659127)
1005
+ 16700 val loss 5.4805
1006
+ 16700 val perplexity 239.9655
1007
+ 16700 train 5.563731 (lr=3.9278e-06) (hash(x)=149725921)
1008
+ 16700 val loss 5.4919
1009
+ 16700 val perplexity 242.7237
1010
+ 16700 train 5.564499 (lr=4.1896e-06) (hash(x)=149725921)
1011
+ 16800 val loss 5.4784
1012
+ 16800 val perplexity 239.4544
1013
+ 16800 train 5.344167 (lr=3.8862e-06) (hash(x)=140678087)
1014
+ 16800 val loss 5.4894
1015
+ 16800 val perplexity 242.1178
1016
+ 16800 train 5.351054 (lr=4.1452e-06) (hash(x)=140678087)
1017
+ 16900 val loss 5.4780
1018
+ 16900 val perplexity 239.3585
1019
+ 16900 train 5.509586 (lr=3.8501e-06) (hash(x)=146935413)
1020
+ 16900 val loss 5.4879
1021
+ 16900 val perplexity 241.7598
1022
+ 16900 train 5.506167 (lr=4.1067e-06) (hash(x)=146935413)
1023
+ 17000 val loss 5.4756
1024
+ 17000 val perplexity 238.8020
1025
+ 17000 train 5.490251 (lr=3.8195e-06) (hash(x)=144408437)
1026
+ 17000 val loss 5.4863
1027
+ 17000 val perplexity 241.3699
1028
+ 17000 train 5.500947 (lr=4.0741e-06) (hash(x)=144408437)
1029
+ 17100 val loss 5.4754
1030
+ 17100 val perplexity 238.7511
1031
+ 17100 train 5.300627 (lr=3.7945e-06) (hash(x)=149229905)
1032
+ 17100 val loss 5.4860
1033
+ 17100 val perplexity 241.2910
1034
+ 17100 train 5.342311 (lr=4.0475e-06) (hash(x)=149229905)
1035
+ 17200 val loss 5.4754
1036
+ 17200 val perplexity 238.7410
1037
+ 17200 train 5.440160 (lr=3.7750e-06) (hash(x)=150471865)
1038
+ 17200 val loss 5.4862
1039
+ 17200 val perplexity 241.3465
1040
+ 17200 train 5.437218 (lr=4.0267e-06) (hash(x)=150471865)
1041
+ 17300 val loss 5.4771
1042
+ 17300 val perplexity 239.1510
1043
+ 17300 train 5.364053 (lr=3.7611e-06) (hash(x)=155784916)
1044
+ 17300 val loss 5.4887
1045
+ 17300 val perplexity 241.9519
1046
+ 17300 train 5.363513 (lr=4.0119e-06) (hash(x)=155784916)
1047
+ 17400 val loss 5.4797
1048
+ 17400 val perplexity 239.7847
1049
+ 17400 train 5.258312 (lr=3.7528e-06) (hash(x)=148482413)
1050
+ 17400 val loss 5.4919
1051
+ 17400 val perplexity 242.7172
1052
+ 17400 train 5.261920 (lr=4.0030e-06) (hash(x)=148482413)
1053
+ 17499 val loss 5.4726
1054
+ 17499 val perplexity 238.0666
1055
+ 17499 val loss 5.4837
1056
+ 17499 val perplexity 240.7365
attention_kindselective_n_heads4_seed1340/model_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4923e7ab702d1408072d4b06f276cf73b3ab667510dbbd6f90cda737d2a3559a
3
  size 92843394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b94878fbf317ca14cf9f1d8ca2afe3d3c782ec82af0e473faaa020f8ae220f0
3
  size 92843394
attention_kindselective_n_heads4_seed1340/optimizer_17499.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:82254200685547f8a942c48ae6e428bb336a452a15fc717fa5d70f603e7ad765
3
  size 179406214
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa9c531a7dd091b295c0ef72fe3f6cb8df38e9e4e351a622862940383a438670
3
  size 179406214