andrew-healey commited on
Commit
c42a4cc
·
verified ·
1 Parent(s): 2f9dbe1

Upload folder using huggingface_hub

Browse files
attention_kindselective_n_heads2_seed1340/args.json CHANGED
@@ -1 +1 @@
1
- {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_2/attention_kindselective_n_heads2_seed1340", "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": 1000, "warmup_steps": 200, "group": "wider_is_better_2", "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": 0.00015, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "1.5e-4_30720_2_1340", "n_embd": 128}
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_3/attention_kindselective_n_heads2_seed1340", "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_3", "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": 0.00015, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "1.5e-4_30720_2_1340", "n_embd": 128}
attention_kindselective_n_heads2_seed1340/dataloader_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8b2ea67f78ff5a7970d0db044ff7ee527b3dc065f295fd30f588df4b44b568d0
3
  size 964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db41c5e5513137877487a93451adf8ec4ed2448ab6e9471ebd5595c8e3293875
3
  size 964
attention_kindselective_n_heads2_seed1340/dataloader_05000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6df8947c6ab773db1947914387d3db345a84828521d3a64bae9b652e1b0a410
3
+ size 964
attention_kindselective_n_heads2_seed1340/dataloader_07500.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:169891a726a7ff746d1a7aa99f459a66d85ceb4e9f2583f790f5b8501f97b6af
3
+ size 964
attention_kindselective_n_heads2_seed1340/dataloader_09999.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e685a568a36c792ccbe7b5fcae0b9d630955e589991190bd8902836cea6a91df
3
+ size 964
attention_kindselective_n_heads2_seed1340/log2.txt CHANGED
@@ -1,33 +1,303 @@
1
- max_steps: 1000
2
  0 val loss 11.8210
3
  0 val perplexity 136085.8281
4
  0 train 11.833096 (lr=7.5000e-07) (hash(x)=164406924)
5
- 100 val loss 8.9386
6
- 100 val perplexity 7620.5469
7
- 100 train 9.338764 (lr=7.5750e-05) (hash(x)=177407419)
8
- 200 val loss 7.6507
9
- 200 val perplexity 2102.1758
10
- 200 train 7.564567 (lr=1.5000e-04) (hash(x)=144903932)
11
- 300 val loss 7.6006
12
- 300 val perplexity 1999.4196
13
- 300 train 7.959331 (lr=1.4486e-04) (hash(x)=173839165)
14
- 400 val loss 7.5781
15
- 400 val perplexity 1954.9889
16
- 400 train 7.667082 (lr=1.3023e-04) (hash(x)=167734596)
17
- 500 val loss 7.5509
18
- 500 val perplexity 1902.5231
19
- 500 train 7.567864 (lr=1.0833e-04) (hash(x)=153224076)
20
- 600 val loss 7.4864
21
- 600 val perplexity 1783.6138
22
- 600 train 7.387994 (lr=8.2500e-05) (hash(x)=149619098)
23
- 700 val loss 7.4559
24
- 700 val perplexity 1729.9689
25
- 700 train 7.393428 (lr=5.6669e-05) (hash(x)=146539909)
26
- 800 val loss 7.4234
27
- 800 val perplexity 1674.7809
28
- 800 train 7.390232 (lr=3.4770e-05) (hash(x)=153710890)
29
- 900 val loss 7.4136
30
- 900 val perplexity 1658.3834
31
- 900 train 7.366385 (lr=2.0138e-05) (hash(x)=155873620)
32
- 999 val loss 7.3940
33
- 999 val perplexity 1626.1406
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 10000
2
  0 val loss 11.8210
3
  0 val perplexity 136085.8281
4
  0 train 11.833096 (lr=7.5000e-07) (hash(x)=164406924)
5
+ 100 val loss 9.2860
6
+ 100 val perplexity 10786.0391
7
+ 100 train 9.662748 (lr=7.5750e-05) (hash(x)=177407419)
8
+ 200 val loss 7.8606
9
+ 200 val perplexity 2593.0164
10
+ 200 train 7.780552 (lr=1.5000e-04) (hash(x)=144903932)
11
+ 300 val loss 7.6666
12
+ 300 val perplexity 2135.7751
13
+ 300 train 8.003074 (lr=1.4997e-04) (hash(x)=173839165)
14
+ 400 val loss 7.6502
15
+ 400 val perplexity 2101.0415
16
+ 400 train 7.739728 (lr=1.4986e-04) (hash(x)=167734596)
17
+ 500 val loss 7.6336
18
+ 500 val perplexity 2066.3887
19
+ 500 train 7.656996 (lr=1.4969e-04) (hash(x)=153224076)
20
+ 600 val loss 7.6151
21
+ 600 val perplexity 2028.6681
22
+ 600 train 7.532100 (lr=1.4945e-04) (hash(x)=149619098)
23
+ 700 val loss 7.5847
24
+ 700 val perplexity 1967.8236
25
+ 700 train 7.537936 (lr=1.4913e-04) (hash(x)=146539909)
26
+ 800 val loss 7.5700
27
+ 800 val perplexity 1939.1249
28
+ 800 train 7.540164 (lr=1.4876e-04) (hash(x)=153710890)
29
+ 900 val loss 7.5557
30
+ 900 val perplexity 1911.5392
31
+ 900 train 7.501474 (lr=1.4831e-04) (hash(x)=155873620)
32
+ 1000 val loss 7.4618
33
+ 1000 val perplexity 1740.2472
34
+ 1000 train 7.374543 (lr=1.4779e-04) (hash(x)=145450636)
35
+ 1100 val loss 7.3699
36
+ 1100 val perplexity 1587.4708
37
+ 1100 train 7.435219 (lr=1.4721e-04) (hash(x)=154123388)
38
+ 1200 val loss 7.2934
39
+ 1200 val perplexity 1470.5535
40
+ 1200 train 7.184954 (lr=1.4656e-04) (hash(x)=145249251)
41
+ 1300 val loss 7.2683
42
+ 1300 val perplexity 1434.1646
43
+ 1300 train 7.191982 (lr=1.4585e-04) (hash(x)=148937127)
44
+ 1400 val loss 7.2809
45
+ 1400 val perplexity 1452.3353
46
+ 1400 train 7.384271 (lr=1.4507e-04) (hash(x)=150475545)
47
+ 1500 val loss 7.2384
48
+ 1500 val perplexity 1391.9143
49
+ 1500 train 7.182953 (lr=1.4422e-04) (hash(x)=154653428)
50
+ 1600 val loss 7.2371
51
+ 1600 val perplexity 1390.0048
52
+ 1600 train 7.198934 (lr=1.4332e-04) (hash(x)=144483776)
53
+ 1700 val loss 7.2102
54
+ 1700 val perplexity 1353.1659
55
+ 1700 train 7.359813 (lr=1.4235e-04) (hash(x)=157395496)
56
+ 1800 val loss 7.1938
57
+ 1800 val perplexity 1331.1342
58
+ 1800 train 7.217635 (lr=1.4131e-04) (hash(x)=157916369)
59
+ 1900 val loss 7.1954
60
+ 1900 val perplexity 1333.2374
61
+ 1900 train 7.370900 (lr=1.4022e-04) (hash(x)=166073923)
62
+ 2000 val loss 7.1728
63
+ 2000 val perplexity 1303.5236
64
+ 2000 train 7.259578 (lr=1.3907e-04) (hash(x)=154856891)
65
+ 2100 val loss 7.1473
66
+ 2100 val perplexity 1270.6617
67
+ 2100 train 7.135692 (lr=1.3786e-04) (hash(x)=151925203)
68
+ 2200 val loss 7.1212
69
+ 2200 val perplexity 1237.9452
70
+ 2200 train 6.883886 (lr=1.3660e-04) (hash(x)=136191502)
71
+ 2300 val loss 7.0922
72
+ 2300 val perplexity 1202.4998
73
+ 2300 train 7.197161 (lr=1.3527e-04) (hash(x)=153273362)
74
+ 2400 val loss 7.0631
75
+ 2400 val perplexity 1168.0109
76
+ 2400 train 7.004709 (lr=1.3390e-04) (hash(x)=148021541)
77
+ 2500 val loss 7.0387
78
+ 2500 val perplexity 1139.8723
79
+ 2500 train 6.971934 (lr=1.3247e-04) (hash(x)=141356608)
80
+ 2600 val loss 7.0223
81
+ 2600 val perplexity 1121.3545
82
+ 2600 train 6.993940 (lr=1.3099e-04) (hash(x)=146005217)
83
+ 2700 val loss 6.9970
84
+ 2700 val perplexity 1093.3162
85
+ 2700 train 6.862417 (lr=1.2946e-04) (hash(x)=144511718)
86
+ 2800 val loss 6.9774
87
+ 2800 val perplexity 1072.0774
88
+ 2800 train 6.865919 (lr=1.2788e-04) (hash(x)=146019502)
89
+ 2900 val loss 6.9657
90
+ 2900 val perplexity 1059.6677
91
+ 2900 train 6.855839 (lr=1.2626e-04) (hash(x)=146496200)
92
+ 3000 val loss 6.9567
93
+ 3000 val perplexity 1050.1111
94
+ 3000 train 6.893280 (lr=1.2459e-04) (hash(x)=150127281)
95
+ 3100 val loss 6.9605
96
+ 3100 val perplexity 1054.1798
97
+ 3100 train 6.937206 (lr=1.2287e-04) (hash(x)=142022255)
98
+ 3200 val loss 6.9078
99
+ 3200 val perplexity 1000.0731
100
+ 3200 train 6.967850 (lr=1.2112e-04) (hash(x)=154120875)
101
+ 3300 val loss 6.8811
102
+ 3300 val perplexity 973.6631
103
+ 3300 train 6.926210 (lr=1.1932e-04) (hash(x)=153999717)
104
+ 3400 val loss 6.8662
105
+ 3400 val perplexity 959.2816
106
+ 3400 train 6.659736 (lr=1.1749e-04) (hash(x)=139694097)
107
+ 3500 val loss 6.8130
108
+ 3500 val perplexity 909.6061
109
+ 3500 train 7.000371 (lr=1.1562e-04) (hash(x)=162992732)
110
+ 3600 val loss 6.7788
111
+ 3600 val perplexity 879.0024
112
+ 3600 train 6.765416 (lr=1.1372e-04) (hash(x)=147574101)
113
+ 3700 val loss 6.7487
114
+ 3700 val perplexity 852.9725
115
+ 3700 train 6.844296 (lr=1.1179e-04) (hash(x)=157763099)
116
+ 3800 val loss 6.7052
117
+ 3800 val perplexity 816.6715
118
+ 3800 train 6.851088 (lr=1.0982e-04) (hash(x)=170800034)
119
+ 3900 val loss 6.6880
120
+ 3900 val perplexity 802.7108
121
+ 3900 train 6.769814 (lr=1.0783e-04) (hash(x)=164984528)
122
+ 4000 val loss 6.6738
123
+ 4000 val perplexity 791.3618
124
+ 4000 train 6.558570 (lr=1.0581e-04) (hash(x)=141743323)
125
+ 4100 val loss 6.6477
126
+ 4100 val perplexity 770.9724
127
+ 4100 train 6.665805 (lr=1.0377e-04) (hash(x)=153392872)
128
+ 4200 val loss 6.6394
129
+ 4200 val perplexity 764.6514
130
+ 4200 train 6.502887 (lr=1.0171e-04) (hash(x)=149074933)
131
+ 4300 val loss 6.6138
132
+ 4300 val perplexity 745.2818
133
+ 4300 train 6.971368 (lr=9.9622e-05) (hash(x)=167823423)
134
+ 4400 val loss 6.5934
135
+ 4400 val perplexity 730.2261
136
+ 4400 train 6.361484 (lr=9.7520e-05) (hash(x)=141203114)
137
+ 4500 val loss 6.5833
138
+ 4500 val perplexity 722.9263
139
+ 4500 train 6.580207 (lr=9.5403e-05) (hash(x)=146284780)
140
+ 4600 val loss 6.5694
141
+ 4600 val perplexity 712.9520
142
+ 4600 train 6.387619 (lr=9.3273e-05) (hash(x)=141126464)
143
+ 4700 val loss 6.5655
144
+ 4700 val perplexity 710.1322
145
+ 4700 train 6.605382 (lr=9.1132e-05) (hash(x)=154751926)
146
+ 4800 val loss 6.5409
147
+ 4800 val perplexity 692.9312
148
+ 4800 train 6.615538 (lr=8.8982e-05) (hash(x)=154793198)
149
+ 4900 val loss 6.5308
150
+ 4900 val perplexity 685.9267
151
+ 4900 train 6.277193 (lr=8.6825e-05) (hash(x)=139406392)
152
+ 5000 val loss 6.5402
153
+ 5000 val perplexity 692.4183
154
+ 5000 train 6.270849 (lr=8.4663e-05) (hash(x)=153548741)
155
+ 5100 val loss 6.5195
156
+ 5100 val perplexity 678.2264
157
+ 5100 train 6.577639 (lr=8.2500e-05) (hash(x)=160488568)
158
+ 5200 val loss 6.4913
159
+ 5200 val perplexity 659.3571
160
+ 5200 train 6.499322 (lr=8.0337e-05) (hash(x)=149645053)
161
+ 5300 val loss 6.4674
162
+ 5300 val perplexity 643.7795
163
+ 5300 train 6.551712 (lr=7.8175e-05) (hash(x)=155820556)
164
+ 5400 val loss 6.4584
165
+ 5400 val perplexity 638.0523
166
+ 5400 train 6.406846 (lr=7.6018e-05) (hash(x)=147538134)
167
+ 5500 val loss 6.4472
168
+ 5500 val perplexity 630.9539
169
+ 5500 train 6.650355 (lr=7.3868e-05) (hash(x)=166889307)
170
+ 5600 val loss 6.4414
171
+ 5600 val perplexity 627.2925
172
+ 5600 train 6.178294 (lr=7.1727e-05) (hash(x)=139516699)
173
+ 5700 val loss 6.4383
174
+ 5700 val perplexity 625.3146
175
+ 5700 train 6.140398 (lr=6.9597e-05) (hash(x)=140453511)
176
+ 5800 val loss 6.4554
177
+ 5800 val perplexity 636.1287
178
+ 5800 train 6.392017 (lr=6.7480e-05) (hash(x)=162964847)
179
+ 5900 val loss 6.4271
180
+ 5900 val perplexity 618.3743
181
+ 5900 train 6.426831 (lr=6.5378e-05) (hash(x)=150606634)
182
+ 6000 val loss 6.4019
183
+ 6000 val perplexity 602.9800
184
+ 6000 train 6.483189 (lr=6.3294e-05) (hash(x)=149890857)
185
+ 6100 val loss 6.3978
186
+ 6100 val perplexity 600.5256
187
+ 6100 train 6.496579 (lr=6.1230e-05) (hash(x)=173884145)
188
+ 6200 val loss 6.3954
189
+ 6200 val perplexity 599.0695
190
+ 6200 train 6.449534 (lr=5.9188e-05) (hash(x)=151987098)
191
+ 6300 val loss 6.3866
192
+ 6300 val perplexity 593.8149
193
+ 6300 train 6.331738 (lr=5.7169e-05) (hash(x)=148853562)
194
+ 6400 val loss 6.3854
195
+ 6400 val perplexity 593.1300
196
+ 6400 train 6.154367 (lr=5.5177e-05) (hash(x)=141530101)
197
+ 6500 val loss 6.3855
198
+ 6500 val perplexity 593.1869
199
+ 6500 train 6.248992 (lr=5.3213e-05) (hash(x)=142297809)
200
+ 6600 val loss 6.3718
201
+ 6600 val perplexity 585.1053
202
+ 6600 train 6.271256 (lr=5.1279e-05) (hash(x)=142447782)
203
+ 6700 val loss 6.3646
204
+ 6700 val perplexity 580.9097
205
+ 6700 train 6.321351 (lr=4.9377e-05) (hash(x)=147004686)
206
+ 6800 val loss 6.3596
207
+ 6800 val perplexity 578.0256
208
+ 6800 train 6.102666 (lr=4.7509e-05) (hash(x)=133438702)
209
+ 6900 val loss 6.3554
210
+ 6900 val perplexity 575.5761
211
+ 6900 train 6.356314 (lr=4.5676e-05) (hash(x)=157085143)
212
+ 7000 val loss 6.3500
213
+ 7000 val perplexity 572.5088
214
+ 7000 train 6.235214 (lr=4.3882e-05) (hash(x)=139437666)
215
+ 7100 val loss 6.3500
216
+ 7100 val perplexity 572.5020
217
+ 7100 train 6.410504 (lr=4.2128e-05) (hash(x)=159792986)
218
+ 7200 val loss 6.3324
219
+ 7200 val perplexity 562.5106
220
+ 7200 train 6.294635 (lr=4.0414e-05) (hash(x)=144930687)
221
+ 7300 val loss 6.3263
222
+ 7300 val perplexity 559.0936
223
+ 7300 train 6.391851 (lr=3.8745e-05) (hash(x)=156242690)
224
+ 7400 val loss 6.3194
225
+ 7400 val perplexity 555.2521
226
+ 7400 train 6.183175 (lr=3.7120e-05) (hash(x)=148183719)
227
+ 7500 val loss 6.3200
228
+ 7500 val perplexity 555.5490
229
+ 7500 train 6.339300 (lr=3.5541e-05) (hash(x)=152494758)
230
+ 7600 val loss 6.3193
231
+ 7600 val perplexity 555.2037
232
+ 7600 train 6.030640 (lr=3.4011e-05) (hash(x)=142485027)
233
+ 7700 val loss 6.3081
234
+ 7700 val perplexity 549.0034
235
+ 7700 train 6.164628 (lr=3.2531e-05) (hash(x)=147512165)
236
+ 7800 val loss 6.3030
237
+ 7800 val perplexity 546.2231
238
+ 7800 train 6.205514 (lr=3.1102e-05) (hash(x)=160346994)
239
+ 7900 val loss 6.3014
240
+ 7900 val perplexity 545.3183
241
+ 7900 train 6.156770 (lr=2.9726e-05) (hash(x)=144488254)
242
+ 8000 val loss 6.2974
243
+ 8000 val perplexity 543.1653
244
+ 8000 train 6.112909 (lr=2.8405e-05) (hash(x)=147637019)
245
+ 8100 val loss 6.2983
246
+ 8100 val perplexity 543.6222
247
+ 8100 train 6.162512 (lr=2.7138e-05) (hash(x)=147340534)
248
+ 8200 val loss 6.2940
249
+ 8200 val perplexity 541.3257
250
+ 8200 train 6.326890 (lr=2.5929e-05) (hash(x)=151630665)
251
+ 8300 val loss 6.2858
252
+ 8300 val perplexity 536.9080
253
+ 8300 train 6.368608 (lr=2.4778e-05) (hash(x)=149747064)
254
+ 8400 val loss 6.2828
255
+ 8400 val perplexity 535.2827
256
+ 8400 train 6.479126 (lr=2.3686e-05) (hash(x)=154245770)
257
+ 8500 val loss 6.2785
258
+ 8500 val perplexity 533.0001
259
+ 8500 train 6.166139 (lr=2.2655e-05) (hash(x)=152559100)
260
+ 8600 val loss 6.2758
261
+ 8600 val perplexity 531.5559
262
+ 8600 train 6.799290 (lr=2.1685e-05) (hash(x)=181365926)
263
+ 8700 val loss 6.2757
264
+ 8700 val perplexity 531.4955
265
+ 8700 train 6.109163 (lr=2.0777e-05) (hash(x)=154405991)
266
+ 8800 val loss 6.2743
267
+ 8800 val perplexity 530.7485
268
+ 8800 train 6.213545 (lr=1.9933e-05) (hash(x)=153755904)
269
+ 8900 val loss 6.2698
270
+ 8900 val perplexity 528.3695
271
+ 8900 train 6.213093 (lr=1.9153e-05) (hash(x)=152120568)
272
+ 9000 val loss 6.2610
273
+ 9000 val perplexity 523.7477
274
+ 9000 train 6.065022 (lr=1.8439e-05) (hash(x)=142797279)
275
+ 9100 val loss 6.2598
276
+ 9100 val perplexity 523.1348
277
+ 9100 train 6.132963 (lr=1.7790e-05) (hash(x)=143037503)
278
+ 9200 val loss 6.2580
279
+ 9200 val perplexity 522.1807
280
+ 9200 train 6.140629 (lr=1.7208e-05) (hash(x)=113690273)
281
+ 9300 val loss 6.2570
282
+ 9300 val perplexity 521.6561
283
+ 9300 train 6.183079 (lr=1.6692e-05) (hash(x)=158025077)
284
+ 9400 val loss 6.2555
285
+ 9400 val perplexity 520.8868
286
+ 9400 train 6.307523 (lr=1.6245e-05) (hash(x)=158251718)
287
+ 9500 val loss 6.2505
288
+ 9500 val perplexity 518.2725
289
+ 9500 train 6.279923 (lr=1.5865e-05) (hash(x)=154752610)
290
+ 9600 val loss 6.2469
291
+ 9600 val perplexity 516.3861
292
+ 9600 train 6.114418 (lr=1.5554e-05) (hash(x)=146889093)
293
+ 9700 val loss 6.2452
294
+ 9700 val perplexity 515.5221
295
+ 9700 train 6.245258 (lr=1.5312e-05) (hash(x)=156906516)
296
+ 9800 val loss 6.2467
297
+ 9800 val perplexity 516.2946
298
+ 9800 train 6.106436 (lr=1.5139e-05) (hash(x)=153841927)
299
+ 9900 val loss 6.2442
300
+ 9900 val perplexity 515.0154
301
+ 9900 train 6.446408 (lr=1.5035e-05) (hash(x)=163514334)
302
+ 9999 val loss 6.2399
303
+ 9999 val perplexity 512.8190
attention_kindselective_n_heads2_seed1340/model_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:35bf7922fb61d552001763039749c28ce9e91f1c804595b4ed12461463848071
3
  size 38587970
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa244a1ce566cb548959fd50188927b76b177114ffbf6638370c89ae1916fd2e
3
  size 38587970
attention_kindselective_n_heads2_seed1340/model_05000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1386979a655903e816c7a9d9e9e5fef733b0d306336f793b2b8de953ce4d1e09
3
+ size 38587970
attention_kindselective_n_heads2_seed1340/model_07500.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5becd0b3bf6aa747510ce1cbd589814a18a264f12aef236db3a20d9a0b00ff29
3
+ size 38587970
attention_kindselective_n_heads2_seed1340/model_09999.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32ff10f191a1e930111922891f17652330ad988ea68c5af5482a3fe6d08a551f
3
+ size 38587970
attention_kindselective_n_heads2_seed1340/optimizer_02500.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:af807c8aa36ff5a8eb274063f76a52e6108fbcf1dc954f73d4b4e0fb7cd67506
3
  size 70895430
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b263d5796aff32bb966098ae7e921fc2175cb55e9d51196ad7423a2e310625b
3
  size 70895430
attention_kindselective_n_heads2_seed1340/optimizer_05000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:236dfec65a33f5065c461861fa4cd84ca48fb9fafbd8f76b069807d997ac1ad2
3
+ size 70895430
attention_kindselective_n_heads2_seed1340/optimizer_07500.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e059c1be6e15ded759dc20533ef62fba907eb2f6c634c3de58769a13e761a66
3
+ size 70895430
attention_kindselective_n_heads2_seed1340/optimizer_09999.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b402bffe7717b3c7d5f831d1007da2d306e33c04f005f8a05cb1e8842ea6d10d
3
+ size 70895430