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attention_kindselective_n_heads4_seed1345/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1345", "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": 1345, "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_seed1345", "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": 1345, "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": 3e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3e-5_30720_4_1345", "n_embd": 256}
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attention_kindselective_n_heads4_seed1345/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2682
|
| 3 |
0 val perplexity 78293.8047
|
| 4 |
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0 train 11.260221 (lr=1.5000e-07) (hash(x)=134751525)
|
| 5 |
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100 val loss 9.9629
|
| 6 |
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100 val perplexity 21224.3418
|
| 7 |
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100 train 10.015310 (lr=1.5150e-05) (hash(x)=144692155)
|
| 8 |
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200 val loss 9.0991
|
| 9 |
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200 val perplexity 8947.1436
|
| 10 |
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200 train 9.096339 (lr=3.0000e-05) (hash(x)=150358957)
|
| 11 |
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300 val loss 8.1925
|
| 12 |
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300 val perplexity 3613.8044
|
| 13 |
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300 train 8.195440 (lr=2.9998e-05) (hash(x)=150268299)
|
| 14 |
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400 val loss 7.8158
|
| 15 |
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400 val perplexity 2479.3533
|
| 16 |
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400 train 7.718500 (lr=2.9991e-05) (hash(x)=126319983)
|
| 17 |
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500 val loss 7.6321
|
| 18 |
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500 val perplexity 2063.2815
|
| 19 |
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500 train 7.673683 (lr=2.9980e-05) (hash(x)=153934799)
|
| 20 |
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600 val loss 7.5430
|
| 21 |
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600 val perplexity 1887.5214
|
| 22 |
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600 train 7.576838 (lr=2.9964e-05) (hash(x)=159305874)
|
| 23 |
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700 val loss 7.4844
|
| 24 |
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700 val perplexity 1780.0698
|
| 25 |
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700 train 7.332507 (lr=2.9944e-05) (hash(x)=141986303)
|
| 26 |
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800 val loss 7.4368
|
| 27 |
+
800 val perplexity 1697.2640
|
| 28 |
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800 train 7.420886 (lr=2.9920e-05) (hash(x)=149855631)
|
| 29 |
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900 val loss 7.3984
|
| 30 |
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900 val perplexity 1633.3889
|
| 31 |
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900 train 7.282827 (lr=2.9891e-05) (hash(x)=149870240)
|
| 32 |
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1000 val loss 7.3456
|
| 33 |
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1000 val perplexity 1549.4288
|
| 34 |
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1000 train 7.412696 (lr=2.9858e-05) (hash(x)=150706760)
|
| 35 |
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1100 val loss 7.2969
|
| 36 |
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1100 val perplexity 1475.7424
|
| 37 |
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1100 train 7.132370 (lr=2.9820e-05) (hash(x)=139020621)
|
| 38 |
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1200 val loss 7.2606
|
| 39 |
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1200 val perplexity 1423.1632
|
| 40 |
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1200 train 7.117458 (lr=2.9778e-05) (hash(x)=146858163)
|
| 41 |
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1300 val loss 7.2317
|
| 42 |
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1300 val perplexity 1382.5780
|
| 43 |
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1300 train 7.297835 (lr=2.9732e-05) (hash(x)=156383408)
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| 44 |
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1400 val loss 7.2085
|
| 45 |
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1400 val perplexity 1350.8746
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| 46 |
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1400 train 7.139882 (lr=2.9681e-05) (hash(x)=144262072)
|
| 47 |
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1500 val loss 7.1777
|
| 48 |
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1500 val perplexity 1309.8384
|
| 49 |
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1500 train 7.030021 (lr=2.9626e-05) (hash(x)=144528048)
|
| 50 |
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1600 val loss 7.1437
|
| 51 |
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1600 val perplexity 1266.0809
|
| 52 |
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1600 train 7.057099 (lr=2.9566e-05) (hash(x)=135443880)
|
| 53 |
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1700 val loss 7.1162
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| 54 |
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1700 val perplexity 1231.7743
|
| 55 |
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1700 train 7.031631 (lr=2.9502e-05) (hash(x)=145067496)
|
| 56 |
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1800 val loss 7.0826
|
| 57 |
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1800 val perplexity 1191.0250
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1800 train 7.044497 (lr=2.9434e-05) (hash(x)=153147388)
|
| 59 |
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1900 val loss 7.0590
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| 60 |
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1900 val perplexity 1163.2997
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| 61 |
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1900 train 6.954865 (lr=2.9362e-05) (hash(x)=151331979)
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| 62 |
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2000 val loss 7.0395
|
| 63 |
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2000 val perplexity 1140.8489
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| 64 |
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2000 train 6.834268 (lr=2.9285e-05) (hash(x)=151448445)
|
| 65 |
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2100 val loss 7.0147
|
| 66 |
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2100 val perplexity 1112.9071
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| 67 |
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2100 train 6.929430 (lr=2.9204e-05) (hash(x)=157223072)
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| 68 |
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2200 val loss 6.9861
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2200 val perplexity 1081.5178
|
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2200 train 6.990860 (lr=2.9119e-05) (hash(x)=153161010)
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2300 val loss 6.9538
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| 72 |
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2300 val perplexity 1047.0735
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2300 train 7.037119 (lr=2.9030e-05) (hash(x)=156906742)
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2400 val loss 6.9313
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2400 val perplexity 1023.8643
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2400 train 6.818391 (lr=2.8937e-05) (hash(x)=143227423)
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| 77 |
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2500 val loss 6.8884
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2500 val perplexity 980.7991
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2600 val loss 6.8561
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2600 val perplexity 949.6277
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2600 train 7.335541 (lr=2.8738e-05) (hash(x)=176373796)
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2700 val loss 6.8286
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2700 train 6.772273 (lr=2.8633e-05) (hash(x)=148437519)
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2800 val loss 6.7917
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2800 val perplexity 890.4268
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2800 train 6.783808 (lr=2.8523e-05) (hash(x)=155989503)
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2900 train 6.891350 (lr=2.8410e-05) (hash(x)=159227845)
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3000 val loss 6.7202
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3100 val loss 6.6891
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3200 val loss 6.6593
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3300 val loss 6.6267
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3400 train 6.537269 (lr=2.7784e-05) (hash(x)=143793373)
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4000 val loss 6.4665
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5000 val loss 6.2838
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| 499 |
+
16500 train 5.695436 (lr=3.2220e-06) (hash(x)=156112678)
|
| 500 |
+
16600 val loss 5.6952
|
| 501 |
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16600 val perplexity 297.4232
|
| 502 |
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16600 train 5.632462 (lr=3.1799e-06) (hash(x)=150449728)
|
| 503 |
+
16700 val loss 5.6934
|
| 504 |
+
16700 val perplexity 296.9111
|
| 505 |
+
16700 train 5.749567 (lr=3.1422e-06) (hash(x)=153905935)
|
| 506 |
+
16800 val loss 5.6910
|
| 507 |
+
16800 val perplexity 296.1795
|
| 508 |
+
16800 train 5.659085 (lr=3.1089e-06) (hash(x)=144086573)
|
| 509 |
+
16900 val loss 5.6905
|
| 510 |
+
16900 val perplexity 296.0352
|
| 511 |
+
16900 train 5.666912 (lr=3.0801e-06) (hash(x)=145863379)
|
| 512 |
+
17000 val loss 5.6915
|
| 513 |
+
17000 val perplexity 296.3435
|
| 514 |
+
17000 train 5.752505 (lr=3.0556e-06) (hash(x)=149054226)
|
| 515 |
+
17100 val loss 5.6908
|
| 516 |
+
17100 val perplexity 296.1319
|
| 517 |
+
17100 train 5.596494 (lr=3.0356e-06) (hash(x)=147109203)
|
| 518 |
+
17200 val loss 5.6882
|
| 519 |
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17200 val perplexity 295.3660
|
| 520 |
+
17200 train 5.617772 (lr=3.0200e-06) (hash(x)=141837353)
|
| 521 |
+
17300 val loss 5.6868
|
| 522 |
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17300 val perplexity 294.9485
|
| 523 |
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17300 train 5.689984 (lr=3.0089e-06) (hash(x)=148542064)
|
| 524 |
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17400 val loss 5.6847
|
| 525 |
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17400 val perplexity 294.3389
|
| 526 |
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17400 train 5.513371 (lr=3.0022e-06) (hash(x)=140939390)
|
| 527 |
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17499 val loss 5.6840
|
| 528 |
+
17499 val perplexity 294.1201
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