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attention_kindselective_n_heads4_seed1338/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1338", "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": 1338, "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_seed1338", "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": 1338, "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_1338", "n_embd": 256}
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attention_kindselective_n_heads4_seed1338/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2663
|
| 3 |
0 val perplexity 78147.0000
|
| 4 |
+
0 train 11.263341 (lr=1.7500e-07) (hash(x)=150327452)
|
| 5 |
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100 val loss 9.8666
|
| 6 |
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100 val perplexity 19276.3164
|
| 7 |
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100 train 9.875949 (lr=1.7675e-05) (hash(x)=166441190)
|
| 8 |
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200 val loss 8.5172
|
| 9 |
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200 val perplexity 5000.0649
|
| 10 |
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200 train 8.645861 (lr=3.5000e-05) (hash(x)=166780046)
|
| 11 |
+
300 val loss 7.6495
|
| 12 |
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300 val perplexity 2099.6785
|
| 13 |
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300 train 7.605138 (lr=3.4997e-05) (hash(x)=159835303)
|
| 14 |
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400 val loss 7.5080
|
| 15 |
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400 val perplexity 1822.5958
|
| 16 |
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400 train 7.283498 (lr=3.4990e-05) (hash(x)=155040610)
|
| 17 |
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500 val loss 7.4459
|
| 18 |
+
500 val perplexity 1712.7689
|
| 19 |
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500 train 7.172822 (lr=3.4977e-05) (hash(x)=130190460)
|
| 20 |
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600 val loss 7.3656
|
| 21 |
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600 val perplexity 1580.6713
|
| 22 |
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600 train 7.384192 (lr=3.4958e-05) (hash(x)=155504036)
|
| 23 |
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700 val loss 7.2947
|
| 24 |
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700 val perplexity 1472.5343
|
| 25 |
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700 train 7.147750 (lr=3.4935e-05) (hash(x)=137347213)
|
| 26 |
+
800 val loss 7.2237
|
| 27 |
+
800 val perplexity 1371.5957
|
| 28 |
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800 train 7.065663 (lr=3.4907e-05) (hash(x)=143823248)
|
| 29 |
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900 val loss 7.1532
|
| 30 |
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900 val perplexity 1278.2330
|
| 31 |
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900 train 7.261928 (lr=3.4873e-05) (hash(x)=156260416)
|
| 32 |
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1000 val loss 7.0941
|
| 33 |
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1000 val perplexity 1204.8857
|
| 34 |
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1000 train 7.049677 (lr=3.4834e-05) (hash(x)=143734685)
|
| 35 |
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1100 val loss 7.0353
|
| 36 |
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1100 val perplexity 1136.0641
|
| 37 |
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1100 train 6.952003 (lr=3.4790e-05) (hash(x)=160013925)
|
| 38 |
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1200 val loss 6.9993
|
| 39 |
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1200 val perplexity 1095.8428
|
| 40 |
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1200 train 6.722279 (lr=3.4741e-05) (hash(x)=150678249)
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| 41 |
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1300 val loss 6.9463
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| 42 |
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1300 val perplexity 1039.2848
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| 43 |
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1300 train 6.712331 (lr=3.4687e-05) (hash(x)=149073315)
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| 44 |
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1400 val loss 6.8822
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| 45 |
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1400 val perplexity 974.7924
|
| 46 |
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1400 train 7.177571 (lr=3.4628e-05) (hash(x)=175802021)
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| 47 |
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1500 val loss 6.8204
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| 48 |
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1500 val perplexity 916.3141
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| 49 |
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1500 train 7.088338 (lr=3.4563e-05) (hash(x)=171034639)
|
| 50 |
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1600 val loss 6.7715
|
| 51 |
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1600 val perplexity 872.6337
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| 52 |
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1600 train 6.987903 (lr=3.4494e-05) (hash(x)=158681215)
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| 53 |
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1700 val loss 6.7281
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| 54 |
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1700 val perplexity 835.5875
|
| 55 |
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1700 train 6.675895 (lr=3.4419e-05) (hash(x)=152116061)
|
| 56 |
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1800 val loss 6.6849
|
| 57 |
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1800 val perplexity 800.2023
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1800 train 6.617714 (lr=3.4340e-05) (hash(x)=146108145)
|
| 59 |
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1900 val loss 6.6472
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| 60 |
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1900 val perplexity 770.6526
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1900 train 6.465954 (lr=3.4255e-05) (hash(x)=147598108)
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| 62 |
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2000 val loss 6.6229
|
| 63 |
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2000 val perplexity 752.1500
|
| 64 |
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2000 train 6.451444 (lr=3.4166e-05) (hash(x)=154996086)
|
| 65 |
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2100 val loss 6.5878
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| 66 |
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2100 val perplexity 726.2009
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2100 train 6.356413 (lr=3.4072e-05) (hash(x)=153396183)
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| 68 |
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2200 val loss 6.5320
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| 69 |
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2200 val perplexity 686.7681
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2200 train 6.529510 (lr=3.3973e-05) (hash(x)=153885445)
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2300 val loss 6.4981
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2300 val perplexity 663.9014
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2300 train 6.507496 (lr=3.3869e-05) (hash(x)=159666385)
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2400 val loss 6.4592
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2400 val perplexity 638.5427
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2400 train 6.455539 (lr=3.3760e-05) (hash(x)=142353087)
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2500 val loss 6.4283
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2500 val perplexity 619.1046
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2500 train 6.443000 (lr=3.3646e-05) (hash(x)=146491718)
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2600 val loss 6.4042
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2600 val perplexity 604.3793
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2700 train 6.114101 (lr=3.3405e-05) (hash(x)=129849193)
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2800 val loss 6.3725
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2800 val perplexity 585.5407
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2800 train 6.196213 (lr=3.3277e-05) (hash(x)=152767913)
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2900 train 6.126045 (lr=3.3144e-05) (hash(x)=146531140)
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3000 train 6.413922 (lr=3.3008e-05) (hash(x)=151562048)
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3300 val loss 6.2526
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3300 train 6.191504 (lr=3.2570e-05) (hash(x)=150866680)
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4300 val loss 6.1068
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5000 val loss 6.0271
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|
| 502 |
+
16600 train 5.366843 (lr=3.7099e-06) (hash(x)=150512136)
|
| 503 |
+
16700 val loss 5.5079
|
| 504 |
+
16700 val perplexity 246.6345
|
| 505 |
+
16700 train 5.512495 (lr=3.6659e-06) (hash(x)=151843645)
|
| 506 |
+
16800 val loss 5.5054
|
| 507 |
+
16800 val perplexity 246.0190
|
| 508 |
+
16800 train 5.574283 (lr=3.6271e-06) (hash(x)=140073659)
|
| 509 |
+
16900 val loss 5.5040
|
| 510 |
+
16900 val perplexity 245.6649
|
| 511 |
+
16900 train 5.649993 (lr=3.5934e-06) (hash(x)=171157212)
|
| 512 |
+
17000 val loss 5.5037
|
| 513 |
+
17000 val perplexity 245.6022
|
| 514 |
+
17000 train 5.439902 (lr=3.5649e-06) (hash(x)=144553276)
|
| 515 |
+
17100 val loss 5.5033
|
| 516 |
+
17100 val perplexity 245.5049
|
| 517 |
+
17100 train 5.497724 (lr=3.5415e-06) (hash(x)=157717565)
|
| 518 |
+
17200 val loss 5.5036
|
| 519 |
+
17200 val perplexity 245.5721
|
| 520 |
+
17200 train 5.361936 (lr=3.5234e-06) (hash(x)=149843860)
|
| 521 |
+
17300 val loss 5.5012
|
| 522 |
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17300 val perplexity 244.9887
|
| 523 |
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17300 train 5.560598 (lr=3.5104e-06) (hash(x)=162171979)
|
| 524 |
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17400 val loss 5.5006
|
| 525 |
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17400 val perplexity 244.8329
|
| 526 |
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17400 train 5.472299 (lr=3.5026e-06) (hash(x)=148400702)
|
| 527 |
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17499 val loss 5.4991
|
| 528 |
+
17499 val perplexity 244.4820
|
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