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attention_kindselective_n_heads4_seed1341/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1341", "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": 1341, "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.
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1341", "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": 1341, "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_1341", "n_embd": 256}
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attention_kindselective_n_heads4_seed1341/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.3107
|
| 3 |
0 val perplexity 81693.5234
|
| 4 |
+
0 train 11.308768 (lr=1.7500e-07) (hash(x)=145079536)
|
| 5 |
+
100 val loss 9.9497
|
| 6 |
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100 val perplexity 20946.6250
|
| 7 |
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100 train 9.888896 (lr=1.7675e-05) (hash(x)=154745873)
|
| 8 |
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200 val loss 8.9449
|
| 9 |
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200 val perplexity 7668.6709
|
| 10 |
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200 train 8.987842 (lr=3.5000e-05) (hash(x)=155800595)
|
| 11 |
+
300 val loss 7.9903
|
| 12 |
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300 val perplexity 2952.0789
|
| 13 |
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300 train 7.955874 (lr=3.4997e-05) (hash(x)=148595389)
|
| 14 |
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400 val loss 7.7101
|
| 15 |
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400 val perplexity 2230.8018
|
| 16 |
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400 train 7.625350 (lr=3.4990e-05) (hash(x)=145606733)
|
| 17 |
+
500 val loss 7.5636
|
| 18 |
+
500 val perplexity 1926.8578
|
| 19 |
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500 train 7.398027 (lr=3.4977e-05) (hash(x)=138221231)
|
| 20 |
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600 val loss 7.4980
|
| 21 |
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600 val perplexity 1804.5145
|
| 22 |
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600 train 7.503819 (lr=3.4958e-05) (hash(x)=150367139)
|
| 23 |
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700 val loss 7.4583
|
| 24 |
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700 val perplexity 1734.2299
|
| 25 |
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700 train 7.608730 (lr=3.4935e-05) (hash(x)=155579314)
|
| 26 |
+
800 val loss 7.4133
|
| 27 |
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800 val perplexity 1657.8750
|
| 28 |
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800 train 7.490392 (lr=3.4907e-05) (hash(x)=155747374)
|
| 29 |
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900 val loss 7.3716
|
| 30 |
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900 val perplexity 1590.1399
|
| 31 |
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900 train 7.577220 (lr=3.4873e-05) (hash(x)=159334575)
|
| 32 |
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1000 val loss 7.3410
|
| 33 |
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1000 val perplexity 1542.3295
|
| 34 |
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1000 train 7.224279 (lr=3.4834e-05) (hash(x)=140604760)
|
| 35 |
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1100 val loss 7.3157
|
| 36 |
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1100 val perplexity 1503.7556
|
| 37 |
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1100 train 7.157549 (lr=3.4790e-05) (hash(x)=146208052)
|
| 38 |
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1200 val loss 7.2921
|
| 39 |
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1200 val perplexity 1468.6102
|
| 40 |
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1200 train 7.204362 (lr=3.4741e-05) (hash(x)=148404734)
|
| 41 |
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1300 val loss 7.2524
|
| 42 |
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1300 val perplexity 1411.5232
|
| 43 |
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1300 train 7.193460 (lr=3.4687e-05) (hash(x)=155681970)
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| 44 |
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1400 val loss 7.2227
|
| 45 |
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1400 val perplexity 1370.2190
|
| 46 |
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1400 train 7.172364 (lr=3.4628e-05) (hash(x)=148115934)
|
| 47 |
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1500 val loss 7.1729
|
| 48 |
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1500 val perplexity 1303.5782
|
| 49 |
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1500 train 7.317149 (lr=3.4563e-05) (hash(x)=157074034)
|
| 50 |
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1600 val loss 7.1336
|
| 51 |
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1600 val perplexity 1253.3771
|
| 52 |
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1600 train 6.900460 (lr=3.4494e-05) (hash(x)=137464699)
|
| 53 |
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1700 val loss 7.0965
|
| 54 |
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1700 val perplexity 1207.7498
|
| 55 |
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1700 train 7.269404 (lr=3.4419e-05) (hash(x)=166955614)
|
| 56 |
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1800 val loss 7.0607
|
| 57 |
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1800 val perplexity 1165.2827
|
| 58 |
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1800 train 6.887536 (lr=3.4340e-05) (hash(x)=143886042)
|
| 59 |
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1900 val loss 7.0308
|
| 60 |
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1900 val perplexity 1130.8890
|
| 61 |
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1900 train 7.645374 (lr=3.4255e-05) (hash(x)=193610391)
|
| 62 |
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2000 val loss 7.0013
|
| 63 |
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2000 val perplexity 1098.0428
|
| 64 |
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2000 train 7.174060 (lr=3.4166e-05) (hash(x)=163799796)
|
| 65 |
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2100 val loss 6.9508
|
| 66 |
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2100 val perplexity 1043.9821
|
| 67 |
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2100 train 6.924165 (lr=3.4072e-05) (hash(x)=154107339)
|
| 68 |
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2200 val loss 6.9160
|
| 69 |
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2200 val perplexity 1008.2556
|
| 70 |
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2200 train 6.909832 (lr=3.3973e-05) (hash(x)=144592844)
|
| 71 |
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2300 val loss 6.8809
|
| 72 |
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2300 val perplexity 973.4561
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2300 train 6.959703 (lr=3.3869e-05) (hash(x)=154535861)
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| 74 |
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2400 val loss 6.8430
|
| 75 |
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2400 val perplexity 937.2637
|
| 76 |
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2400 train 7.566927 (lr=3.3760e-05) (hash(x)=204706354)
|
| 77 |
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2500 val loss 6.8175
|
| 78 |
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2500 val perplexity 913.6815
|
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2600 val loss 6.7831
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2600 val perplexity 882.8004
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2600 train 6.690417 (lr=3.3528e-05) (hash(x)=150862210)
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2700 val loss 6.7496
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2700 val perplexity 853.6903
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2700 train 6.799547 (lr=3.3405e-05) (hash(x)=150753426)
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2800 val loss 6.7300
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2800 val perplexity 837.1569
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2800 train 6.731043 (lr=3.3277e-05) (hash(x)=147766811)
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2900 val loss 6.6856
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| 92 |
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3000 val loss 6.6480
|
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3000 val perplexity 771.2670
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3100 val loss 6.6213
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3100 val perplexity 750.9255
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3200 val loss 6.5985
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3200 val perplexity 733.9844
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3300 val loss 6.5726
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3300 val perplexity 715.2368
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3400 val loss 6.5430
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3400 val perplexity 694.3995
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4000 val loss 6.4124
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4300 val loss 6.3717
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4300 train 6.359217 (lr=3.0833e-05) (hash(x)=161701080)
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5000 val loss 6.2632
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16600 train 5.594974 (lr=3.7099e-06) (hash(x)=150107746)
|
| 503 |
+
16700 val loss 5.6710
|
| 504 |
+
16700 val perplexity 290.3261
|
| 505 |
+
16700 train 5.806321 (lr=3.6659e-06) (hash(x)=159943976)
|
| 506 |
+
16800 val loss 5.6696
|
| 507 |
+
16800 val perplexity 289.9181
|
| 508 |
+
16800 train 5.669618 (lr=3.6271e-06) (hash(x)=160255226)
|
| 509 |
+
16900 val loss 5.6680
|
| 510 |
+
16900 val perplexity 289.4692
|
| 511 |
+
16900 train 5.656839 (lr=3.5934e-06) (hash(x)=157121826)
|
| 512 |
+
17000 val loss 5.6676
|
| 513 |
+
17000 val perplexity 289.3403
|
| 514 |
+
17000 train 5.800177 (lr=3.5649e-06) (hash(x)=159298029)
|
| 515 |
+
17100 val loss 5.6665
|
| 516 |
+
17100 val perplexity 289.0216
|
| 517 |
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17100 train 5.624098 (lr=3.5415e-06) (hash(x)=149355903)
|
| 518 |
+
17200 val loss 5.6673
|
| 519 |
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17200 val perplexity 289.2592
|
| 520 |
+
17200 train 5.485609 (lr=3.5234e-06) (hash(x)=144467909)
|
| 521 |
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17300 val loss 5.6645
|
| 522 |
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17300 val perplexity 288.4494
|
| 523 |
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17300 train 5.834759 (lr=3.5104e-06) (hash(x)=157150350)
|
| 524 |
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17400 val loss 5.6622
|
| 525 |
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17400 val perplexity 287.7772
|
| 526 |
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17400 train 5.710876 (lr=3.5026e-06) (hash(x)=154825212)
|
| 527 |
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17499 val loss 5.6616
|
| 528 |
+
17499 val perplexity 287.6055
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attention_kindselective_n_heads4_seed1341/model_17499.pt
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