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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": 2.75e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "2.75e-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 |
+
0 train 11.260221 (lr=1.3750e-07) (hash(x)=134751525)
|
| 5 |
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100 val loss 9.9741
|
| 6 |
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100 val perplexity 21462.4883
|
| 7 |
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100 train 10.027493 (lr=1.3888e-05) (hash(x)=144692155)
|
| 8 |
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200 val loss 9.1613
|
| 9 |
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200 val perplexity 9521.1787
|
| 10 |
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200 train 9.159481 (lr=2.7500e-05) (hash(x)=150358957)
|
| 11 |
+
300 val loss 8.1686
|
| 12 |
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300 val perplexity 3528.2529
|
| 13 |
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300 train 8.171468 (lr=2.7498e-05) (hash(x)=150268299)
|
| 14 |
+
400 val loss 7.7362
|
| 15 |
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400 val perplexity 2289.8330
|
| 16 |
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400 train 7.624838 (lr=2.7492e-05) (hash(x)=126319983)
|
| 17 |
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500 val loss 7.5661
|
| 18 |
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500 val perplexity 1931.6543
|
| 19 |
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500 train 7.605038 (lr=2.7482e-05) (hash(x)=153934799)
|
| 20 |
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600 val loss 7.4930
|
| 21 |
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600 val perplexity 1795.4475
|
| 22 |
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600 train 7.530370 (lr=2.7467e-05) (hash(x)=159305874)
|
| 23 |
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700 val loss 7.4455
|
| 24 |
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700 val perplexity 1712.0765
|
| 25 |
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700 train 7.294768 (lr=2.7449e-05) (hash(x)=141986303)
|
| 26 |
+
800 val loss 7.3948
|
| 27 |
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800 val perplexity 1627.5183
|
| 28 |
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800 train 7.382443 (lr=2.7427e-05) (hash(x)=149855631)
|
| 29 |
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900 val loss 7.3619
|
| 30 |
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900 val perplexity 1574.8647
|
| 31 |
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900 train 7.247046 (lr=2.7400e-05) (hash(x)=149870240)
|
| 32 |
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1000 val loss 7.3060
|
| 33 |
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1000 val perplexity 1489.1378
|
| 34 |
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1000 train 7.371290 (lr=2.7370e-05) (hash(x)=150706760)
|
| 35 |
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1100 val loss 7.2489
|
| 36 |
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1100 val perplexity 1406.5090
|
| 37 |
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1100 train 7.083115 (lr=2.7335e-05) (hash(x)=139020621)
|
| 38 |
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1200 val loss 7.2008
|
| 39 |
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1200 val perplexity 1340.5052
|
| 40 |
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1200 train 7.062435 (lr=2.7297e-05) (hash(x)=146858163)
|
| 41 |
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1300 val loss 7.1540
|
| 42 |
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1300 val perplexity 1279.1831
|
| 43 |
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1300 train 7.220582 (lr=2.7254e-05) (hash(x)=156383408)
|
| 44 |
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1400 val loss 7.1133
|
| 45 |
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1400 val perplexity 1228.2540
|
| 46 |
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1400 train 7.038970 (lr=2.7207e-05) (hash(x)=144262072)
|
| 47 |
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1500 val loss 7.0632
|
| 48 |
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1500 val perplexity 1168.1650
|
| 49 |
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1500 train 6.913478 (lr=2.7157e-05) (hash(x)=144528048)
|
| 50 |
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1600 val loss 7.0113
|
| 51 |
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1600 val perplexity 1109.1151
|
| 52 |
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1600 train 6.920944 (lr=2.7102e-05) (hash(x)=135443880)
|
| 53 |
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1700 val loss 6.9677
|
| 54 |
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1700 val perplexity 1061.7262
|
| 55 |
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1700 train 6.881925 (lr=2.7044e-05) (hash(x)=145067496)
|
| 56 |
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1800 val loss 6.9206
|
| 57 |
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1800 val perplexity 1012.9618
|
| 58 |
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1800 train 6.887111 (lr=2.6981e-05) (hash(x)=153147388)
|
| 59 |
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1900 val loss 6.8833
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| 60 |
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1900 val perplexity 975.8537
|
| 61 |
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1900 train 6.770248 (lr=2.6915e-05) (hash(x)=151331979)
|
| 62 |
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2000 val loss 6.8543
|
| 63 |
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2000 val perplexity 947.9027
|
| 64 |
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2000 train 6.654613 (lr=2.6845e-05) (hash(x)=151448445)
|
| 65 |
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2100 val loss 6.8099
|
| 66 |
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2100 val perplexity 906.7886
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| 67 |
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2100 train 6.713923 (lr=2.6771e-05) (hash(x)=157223072)
|
| 68 |
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2200 val loss 6.7706
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2200 val perplexity 871.8455
|
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2200 train 6.788996 (lr=2.6693e-05) (hash(x)=153161010)
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| 71 |
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2300 val loss 6.7284
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| 72 |
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2300 val perplexity 835.7784
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2300 train 6.822313 (lr=2.6611e-05) (hash(x)=156906742)
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2400 val loss 6.6899
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2400 val perplexity 804.2026
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2400 train 6.579828 (lr=2.6525e-05) (hash(x)=143227423)
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2500 val loss 6.6550
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2500 val perplexity 776.6259
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2500 train 6.595893 (lr=2.6436e-05) (hash(x)=151827079)
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2600 val loss 6.6273
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2600 val perplexity 755.4677
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2600 train 7.095065 (lr=2.6343e-05) (hash(x)=176373796)
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2700 val loss 6.5964
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2700 val perplexity 732.4643
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2700 train 6.528737 (lr=2.6246e-05) (hash(x)=148437519)
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2800 val loss 6.5631
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2800 val perplexity 708.4465
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2800 train 6.557635 (lr=2.6146e-05) (hash(x)=155989503)
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2900 val loss 6.5361
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2900 val perplexity 689.5892
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2900 train 6.679256 (lr=2.6042e-05) (hash(x)=159227845)
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3000 val loss 6.5026
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3000 val perplexity 666.9011
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3000 train 6.532772 (lr=2.5934e-05) (hash(x)=156507542)
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3100 val loss 6.4796
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3100 val perplexity 651.6872
|
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3100 train 6.461687 (lr=2.5823e-05) (hash(x)=155771797)
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3200 val loss 6.4591
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3200 val perplexity 638.5018
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3200 train 6.388371 (lr=2.5709e-05) (hash(x)=156078901)
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3300 val loss 6.4423
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3300 val perplexity 627.8578
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3300 train 6.308543 (lr=2.5590e-05) (hash(x)=143722886)
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3400 val loss 6.4188
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3700 val loss 6.3668
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4000 val loss 6.3259
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4300 val perplexity 530.0608
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4400 val loss 6.2580
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5000 val loss 6.1866
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5000 val perplexity 486.1723
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5000 train 6.147305 (lr=2.3089e-05) (hash(x)=147184546)
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6100 train 6.124075 (lr=2.1051e-05) (hash(x)=175687796)
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6200 train 6.118114 (lr=2.0853e-05) (hash(x)=165841139)
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6300 val loss 6.0567
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16400 train 5.601115 (lr=2.9961e-06) (hash(x)=150447087)
|
| 497 |
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16500 val loss 5.6548
|
| 498 |
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16500 val perplexity 285.6452
|
| 499 |
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16500 train 5.654249 (lr=2.9535e-06) (hash(x)=156112678)
|
| 500 |
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16600 val loss 5.6535
|
| 501 |
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16600 val perplexity 285.2897
|
| 502 |
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16600 train 5.593806 (lr=2.9149e-06) (hash(x)=150449728)
|
| 503 |
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16700 val loss 5.6516
|
| 504 |
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16700 val perplexity 284.7344
|
| 505 |
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16700 train 5.700657 (lr=2.8804e-06) (hash(x)=153905935)
|
| 506 |
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16800 val loss 5.6488
|
| 507 |
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16800 val perplexity 283.9559
|
| 508 |
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16800 train 5.618400 (lr=2.8498e-06) (hash(x)=144086573)
|
| 509 |
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16900 val loss 5.6486
|
| 510 |
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16900 val perplexity 283.8948
|
| 511 |
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16900 train 5.623926 (lr=2.8234e-06) (hash(x)=145863379)
|
| 512 |
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17000 val loss 5.6493
|
| 513 |
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17000 val perplexity 284.0968
|
| 514 |
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17000 train 5.710599 (lr=2.8010e-06) (hash(x)=149054226)
|
| 515 |
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17100 val loss 5.6496
|
| 516 |
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17100 val perplexity 284.1652
|
| 517 |
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17100 train 5.552036 (lr=2.7826e-06) (hash(x)=147109203)
|
| 518 |
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17200 val loss 5.6471
|
| 519 |
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17200 val perplexity 283.4821
|
| 520 |
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17200 train 5.577302 (lr=2.7684e-06) (hash(x)=141837353)
|
| 521 |
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17300 val loss 5.6452
|
| 522 |
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17300 val perplexity 282.9228
|
| 523 |
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17300 train 5.661463 (lr=2.7582e-06) (hash(x)=148542064)
|
| 524 |
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17400 val loss 5.6441
|
| 525 |
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|
| 526 |
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17400 train 5.476974 (lr=2.7520e-06) (hash(x)=140939390)
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| 527 |
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17499 val loss 5.6431
|
| 528 |
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