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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":
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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": 3.25e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3.25e-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=1.6250e-07) (hash(x)=145079536)
|
| 5 |
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100 val loss 9.9739
|
| 6 |
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100 val perplexity 21458.1914
|
| 7 |
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100 train 9.913584 (lr=1.6412e-05) (hash(x)=154745873)
|
| 8 |
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200 val loss 9.1007
|
| 9 |
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200 val perplexity 8961.2510
|
| 10 |
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200 train 9.134552 (lr=3.2500e-05) (hash(x)=155800595)
|
| 11 |
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300 val loss 8.1021
|
| 12 |
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300 val perplexity 3301.3257
|
| 13 |
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300 train 8.068833 (lr=3.2498e-05) (hash(x)=148595389)
|
| 14 |
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400 val loss 7.8385
|
| 15 |
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400 val perplexity 2536.2754
|
| 16 |
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400 train 7.767007 (lr=3.2490e-05) (hash(x)=145606733)
|
| 17 |
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500 val loss 7.7050
|
| 18 |
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500 val perplexity 2219.4236
|
| 19 |
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500 train 7.567992 (lr=3.2478e-05) (hash(x)=138221231)
|
| 20 |
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600 val loss 7.6210
|
| 21 |
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600 val perplexity 2040.6199
|
| 22 |
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600 train 7.637340 (lr=3.2461e-05) (hash(x)=150367139)
|
| 23 |
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700 val loss 7.5714
|
| 24 |
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700 val perplexity 1941.8647
|
| 25 |
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700 train 7.718476 (lr=3.2440e-05) (hash(x)=155579314)
|
| 26 |
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800 val loss 7.5225
|
| 27 |
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800 val perplexity 1849.2454
|
| 28 |
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800 train 7.599151 (lr=3.2413e-05) (hash(x)=155747374)
|
| 29 |
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900 val loss 7.4832
|
| 30 |
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900 val perplexity 1777.8491
|
| 31 |
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900 train 7.677075 (lr=3.2382e-05) (hash(x)=159334575)
|
| 32 |
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1000 val loss 7.4560
|
| 33 |
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1000 val perplexity 1730.2222
|
| 34 |
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|
| 35 |
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1100 val loss 7.4345
|
| 36 |
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1100 val perplexity 1693.3530
|
| 37 |
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1100 train 7.285876 (lr=3.2305e-05) (hash(x)=146208052)
|
| 38 |
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1200 val loss 7.4151
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| 39 |
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1200 val perplexity 1660.9293
|
| 40 |
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1200 train 7.338825 (lr=3.2260e-05) (hash(x)=148404734)
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| 41 |
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1300 val loss 7.4038
|
| 42 |
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1300 val perplexity 1642.2231
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| 43 |
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1300 train 7.350505 (lr=3.2209e-05) (hash(x)=155681970)
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| 44 |
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1400 val loss 7.3806
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| 45 |
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1400 val perplexity 1604.5261
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| 46 |
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1400 train 7.327487 (lr=3.2154e-05) (hash(x)=148115934)
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| 47 |
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1500 val loss 7.3603
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| 48 |
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1500 val perplexity 1572.3585
|
| 49 |
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1500 train 7.493609 (lr=3.2094e-05) (hash(x)=157074034)
|
| 50 |
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1600 val loss 7.3380
|
| 51 |
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1600 val perplexity 1537.5741
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| 52 |
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1600 train 7.120191 (lr=3.2030e-05) (hash(x)=137464699)
|
| 53 |
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1700 val loss 7.3213
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| 54 |
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1700 val perplexity 1512.1512
|
| 55 |
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1700 train 7.518990 (lr=3.1961e-05) (hash(x)=166955614)
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| 56 |
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1800 val loss 7.3032
|
| 57 |
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1800 val perplexity 1485.0101
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1800 train 7.143173 (lr=3.1887e-05) (hash(x)=143886042)
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| 59 |
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1900 val loss 7.2869
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| 60 |
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1900 val perplexity 1461.0220
|
| 61 |
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1900 train 7.935486 (lr=3.1809e-05) (hash(x)=193610391)
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| 62 |
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2000 val loss 7.2771
|
| 63 |
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2000 val perplexity 1446.7656
|
| 64 |
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2000 train 7.443820 (lr=3.1726e-05) (hash(x)=163799796)
|
| 65 |
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2100 val loss 7.2386
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| 66 |
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2100 val perplexity 1392.1798
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| 67 |
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2100 train 7.208788 (lr=3.1638e-05) (hash(x)=154107339)
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| 68 |
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2200 val loss 7.2311
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| 69 |
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2200 val perplexity 1381.6909
|
| 70 |
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2200 train 7.212371 (lr=3.1546e-05) (hash(x)=144592844)
|
| 71 |
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2300 val loss 7.2114
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| 72 |
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2300 val perplexity 1354.8523
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2400 val loss 7.1925
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2400 val perplexity 1329.3987
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2400 train 7.940537 (lr=3.1348e-05) (hash(x)=204706354)
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| 77 |
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2500 val loss 7.1954
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| 78 |
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2500 val perplexity 1333.2507
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2600 val loss 7.1631
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2600 val perplexity 1290.9364
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2700 val loss 7.1397
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2700 val perplexity 1260.9904
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2700 train 7.215629 (lr=3.1019e-05) (hash(x)=150753426)
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2800 val loss 7.1199
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2800 val perplexity 1236.3182
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2800 train 7.096500 (lr=3.0900e-05) (hash(x)=147766811)
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|
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2900 train 7.022207 (lr=3.0777e-05) (hash(x)=151177814)
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3000 val loss 7.0706
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3000 val perplexity 1176.8248
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3100 val loss 7.0520
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3100 val perplexity 1155.1228
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3200 val loss 7.0296
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3200 val perplexity 1129.6343
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3200 train 7.138424 (lr=3.0383e-05) (hash(x)=160440642)
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3300 val loss 7.0038
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3300 val perplexity 1100.7715
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3300 train 6.907925 (lr=3.0243e-05) (hash(x)=143017131)
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3400 val perplexity 1076.4725
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3500 val loss 6.9657
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4900 train 6.372381 (lr=2.7489e-05) (hash(x)=139881569)
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5000 val loss 6.5846
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+
16600 train 5.725785 (lr=3.4449e-06) (hash(x)=150107746)
|
| 503 |
+
16700 val loss 5.8094
|
| 504 |
+
16700 val perplexity 333.4117
|
| 505 |
+
16700 train 5.943489 (lr=3.4041e-06) (hash(x)=159943976)
|
| 506 |
+
16800 val loss 5.8079
|
| 507 |
+
16800 val perplexity 332.9350
|
| 508 |
+
16800 train 5.812941 (lr=3.3680e-06) (hash(x)=160255226)
|
| 509 |
+
16900 val loss 5.8058
|
| 510 |
+
16900 val perplexity 332.2311
|
| 511 |
+
16900 train 5.790132 (lr=3.3367e-06) (hash(x)=157121826)
|
| 512 |
+
17000 val loss 5.8052
|
| 513 |
+
17000 val perplexity 332.0128
|
| 514 |
+
17000 train 5.929333 (lr=3.3102e-06) (hash(x)=159298029)
|
| 515 |
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17100 val loss 5.8048
|
| 516 |
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17100 val perplexity 331.8996
|
| 517 |
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17100 train 5.756987 (lr=3.2886e-06) (hash(x)=149355903)
|
| 518 |
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17200 val loss 5.8050
|
| 519 |
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17200 val perplexity 331.9643
|
| 520 |
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17200 train 5.621988 (lr=3.2717e-06) (hash(x)=144467909)
|
| 521 |
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17300 val loss 5.8022
|
| 522 |
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17300 val perplexity 331.0107
|
| 523 |
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17300 train 5.966762 (lr=3.2596e-06) (hash(x)=157150350)
|
| 524 |
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17400 val loss 5.7999
|
| 525 |
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17400 val perplexity 330.2749
|
| 526 |
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17400 train 5.854440 (lr=3.2524e-06) (hash(x)=154825212)
|
| 527 |
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17499 val loss 5.7990
|
| 528 |
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17499 val perplexity 329.9840
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attention_kindselective_n_heads4_seed1341/model_17499.pt
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