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attention_kindselective_n_heads4_seed1339/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1339", "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": 1339, "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_seed1339", "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": 1339, "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_1339", "n_embd": 256}
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attention_kindselective_n_heads4_seed1339/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2810
|
| 3 |
0 val perplexity 79298.4922
|
| 4 |
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0 train 11.295413 (lr=1.5000e-07) (hash(x)=150724848)
|
| 5 |
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100 val loss 9.9471
|
| 6 |
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100 val perplexity 20892.3984
|
| 7 |
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100 train 9.995423 (lr=1.5150e-05) (hash(x)=149217061)
|
| 8 |
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200 val loss 8.9068
|
| 9 |
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200 val perplexity 7381.7563
|
| 10 |
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200 train 8.924874 (lr=3.0000e-05) (hash(x)=149910534)
|
| 11 |
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300 val loss 7.8970
|
| 12 |
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300 val perplexity 2689.2625
|
| 13 |
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300 train 7.817223 (lr=2.9998e-05) (hash(x)=142185643)
|
| 14 |
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400 val loss 7.6460
|
| 15 |
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400 val perplexity 2092.2935
|
| 16 |
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400 train 7.695558 (lr=2.9991e-05) (hash(x)=148123706)
|
| 17 |
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500 val loss 7.5708
|
| 18 |
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500 val perplexity 1940.7567
|
| 19 |
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500 train 7.445272 (lr=2.9980e-05) (hash(x)=149952383)
|
| 20 |
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600 val loss 7.5152
|
| 21 |
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600 val perplexity 1835.7777
|
| 22 |
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600 train 7.335600 (lr=2.9964e-05) (hash(x)=146678221)
|
| 23 |
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700 val loss 7.4498
|
| 24 |
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700 val perplexity 1719.4503
|
| 25 |
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700 train 7.483349 (lr=2.9944e-05) (hash(x)=156180736)
|
| 26 |
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800 val loss 7.4000
|
| 27 |
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800 val perplexity 1635.9183
|
| 28 |
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800 train 7.391922 (lr=2.9920e-05) (hash(x)=151700982)
|
| 29 |
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900 val loss 7.3614
|
| 30 |
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900 val perplexity 1574.0306
|
| 31 |
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900 train 7.154299 (lr=2.9891e-05) (hash(x)=147288467)
|
| 32 |
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1000 val loss 7.3255
|
| 33 |
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1000 val perplexity 1518.5808
|
| 34 |
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1000 train 7.366494 (lr=2.9858e-05) (hash(x)=156182087)
|
| 35 |
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1100 val loss 7.2923
|
| 36 |
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1100 val perplexity 1468.8792
|
| 37 |
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1100 train 7.162993 (lr=2.9820e-05) (hash(x)=147861550)
|
| 38 |
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1200 val loss 7.2558
|
| 39 |
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1200 val perplexity 1416.3641
|
| 40 |
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1200 train 7.121205 (lr=2.9778e-05) (hash(x)=149318660)
|
| 41 |
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1300 val loss 7.2265
|
| 42 |
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1300 val perplexity 1375.4232
|
| 43 |
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1300 train 7.061676 (lr=2.9732e-05) (hash(x)=151631103)
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| 44 |
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1400 val loss 7.1858
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| 45 |
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1400 val perplexity 1320.5341
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| 46 |
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1400 train 7.228111 (lr=2.9681e-05) (hash(x)=150482428)
|
| 47 |
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1500 val loss 7.1244
|
| 48 |
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1500 val perplexity 1241.9030
|
| 49 |
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1500 train 6.974311 (lr=2.9626e-05) (hash(x)=144458617)
|
| 50 |
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1600 val loss 7.0693
|
| 51 |
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1600 val perplexity 1175.3258
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| 52 |
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1600 train 6.943380 (lr=2.9566e-05) (hash(x)=143268605)
|
| 53 |
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1700 val loss 7.0222
|
| 54 |
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1700 val perplexity 1121.2941
|
| 55 |
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1700 train 6.952559 (lr=2.9502e-05) (hash(x)=150817011)
|
| 56 |
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1800 val loss 6.9806
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| 57 |
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1800 val perplexity 1075.6172
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1800 train 6.963822 (lr=2.9434e-05) (hash(x)=152322423)
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| 59 |
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1900 val loss 6.9419
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| 60 |
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1900 val perplexity 1034.7129
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| 61 |
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1900 train 6.733173 (lr=2.9362e-05) (hash(x)=143574126)
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| 62 |
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2000 val loss 6.9049
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| 63 |
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2000 val perplexity 997.1170
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| 64 |
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2000 train 6.658395 (lr=2.9285e-05) (hash(x)=147904298)
|
| 65 |
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2100 val loss 6.8658
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| 66 |
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2100 val perplexity 958.9514
|
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2100 train 6.606602 (lr=2.9204e-05) (hash(x)=144719400)
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2200 val loss 6.8183
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| 69 |
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2200 val perplexity 914.4473
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2200 train 7.060718 (lr=2.9119e-05) (hash(x)=154343147)
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2300 val loss 6.7630
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| 72 |
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2300 val perplexity 865.2518
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2400 val loss 6.7219
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2400 val perplexity 830.3688
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2400 train 6.548813 (lr=2.8937e-05) (hash(x)=141843115)
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2500 val loss 6.6719
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2500 val perplexity 789.8730
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2600 val loss 6.6304
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2600 val perplexity 757.7546
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2600 train 6.501026 (lr=2.8738e-05) (hash(x)=145279030)
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2700 train 6.507457 (lr=2.8633e-05) (hash(x)=146363911)
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2800 val loss 6.5743
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2800 val perplexity 716.4705
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2800 train 6.523441 (lr=2.8523e-05) (hash(x)=152507639)
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3000 val loss 6.5133
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3000 val perplexity 674.0377
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3200 val loss 6.4329
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5000 val perplexity 456.2238
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|
| 499 |
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16500 train 5.344845 (lr=3.2220e-06) (hash(x)=141497841)
|
| 500 |
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16600 val loss 5.6001
|
| 501 |
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16600 val perplexity 270.4425
|
| 502 |
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16600 train 5.567000 (lr=3.1799e-06) (hash(x)=157947018)
|
| 503 |
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16700 val loss 5.5973
|
| 504 |
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16700 val perplexity 269.7056
|
| 505 |
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16700 train 5.557473 (lr=3.1422e-06) (hash(x)=146039309)
|
| 506 |
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16800 val loss 5.5967
|
| 507 |
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16800 val perplexity 269.5226
|
| 508 |
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16800 train 5.564966 (lr=3.1089e-06) (hash(x)=156381445)
|
| 509 |
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16900 val loss 5.5951
|
| 510 |
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16900 val perplexity 269.1154
|
| 511 |
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16900 train 5.553369 (lr=3.0801e-06) (hash(x)=146537354)
|
| 512 |
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17000 val loss 5.5950
|
| 513 |
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17000 val perplexity 269.0740
|
| 514 |
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17000 train 5.522299 (lr=3.0556e-06) (hash(x)=135939444)
|
| 515 |
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17100 val loss 5.5942
|
| 516 |
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17100 val perplexity 268.8705
|
| 517 |
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17100 train 5.673860 (lr=3.0356e-06) (hash(x)=147819652)
|
| 518 |
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17200 val loss 5.5945
|
| 519 |
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17200 val perplexity 268.9415
|
| 520 |
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17200 train 5.685050 (lr=3.0200e-06) (hash(x)=155307909)
|
| 521 |
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17300 val loss 5.5914
|
| 522 |
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17300 val perplexity 268.1093
|
| 523 |
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17300 train 5.543001 (lr=3.0089e-06) (hash(x)=151879548)
|
| 524 |
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17400 val loss 5.5902
|
| 525 |
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17400 val perplexity 267.7778
|
| 526 |
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17400 train 5.508076 (lr=3.0022e-06) (hash(x)=143641792)
|
| 527 |
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17499 val loss 5.5892
|
| 528 |
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17499 val perplexity 267.5307
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