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attention_kindselective_n_heads4_seed1340/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 1340, "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_seed1340", "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": 1340, "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_1340", "n_embd": 256}
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attention_kindselective_n_heads4_seed1340/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2714
|
| 3 |
+
0 val perplexity 78546.7344
|
| 4 |
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0 train 11.276529 (lr=1.6250e-07) (hash(x)=164406924)
|
| 5 |
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100 val loss 9.9427
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| 6 |
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100 val perplexity 20799.7773
|
| 7 |
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100 train 9.986905 (lr=1.6412e-05) (hash(x)=177407419)
|
| 8 |
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200 val loss 9.0545
|
| 9 |
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200 val perplexity 8556.6611
|
| 10 |
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200 train 9.022396 (lr=3.2500e-05) (hash(x)=144903932)
|
| 11 |
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300 val loss 7.9905
|
| 12 |
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300 val perplexity 2952.6941
|
| 13 |
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300 train 8.233212 (lr=3.2498e-05) (hash(x)=173839165)
|
| 14 |
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400 val loss 7.7050
|
| 15 |
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400 val perplexity 2219.5210
|
| 16 |
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400 train 7.775531 (lr=3.2490e-05) (hash(x)=167734596)
|
| 17 |
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500 val loss 7.5884
|
| 18 |
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500 val perplexity 1975.1251
|
| 19 |
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500 train 7.603640 (lr=3.2478e-05) (hash(x)=153224076)
|
| 20 |
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600 val loss 7.5186
|
| 21 |
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600 val perplexity 1842.0447
|
| 22 |
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600 train 7.431871 (lr=3.2461e-05) (hash(x)=149619098)
|
| 23 |
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700 val loss 7.4777
|
| 24 |
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700 val perplexity 1768.2009
|
| 25 |
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700 train 7.410966 (lr=3.2440e-05) (hash(x)=146539909)
|
| 26 |
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800 val loss 7.4248
|
| 27 |
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800 val perplexity 1677.1040
|
| 28 |
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800 train 7.388150 (lr=3.2413e-05) (hash(x)=153710890)
|
| 29 |
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900 val loss 7.3854
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| 30 |
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900 val perplexity 1612.2769
|
| 31 |
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900 train 7.327601 (lr=3.2382e-05) (hash(x)=155873620)
|
| 32 |
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1000 val loss 7.3567
|
| 33 |
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1000 val perplexity 1566.6251
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| 34 |
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1000 train 7.275003 (lr=3.2346e-05) (hash(x)=145450636)
|
| 35 |
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1100 val loss 7.3128
|
| 36 |
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1100 val perplexity 1499.4359
|
| 37 |
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1100 train 7.385886 (lr=3.2305e-05) (hash(x)=154123388)
|
| 38 |
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1200 val loss 7.2874
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| 39 |
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1200 val perplexity 1461.7990
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| 40 |
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1200 train 7.163799 (lr=3.2260e-05) (hash(x)=145249251)
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| 41 |
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1300 val loss 7.2463
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| 42 |
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1300 val perplexity 1402.8694
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| 44 |
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1400 val loss 7.1995
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| 45 |
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1400 val perplexity 1338.7473
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| 46 |
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| 47 |
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1500 val loss 7.1654
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| 48 |
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1500 val perplexity 1293.8778
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| 49 |
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1500 train 7.090920 (lr=3.2094e-05) (hash(x)=154653428)
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| 50 |
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1600 val loss 7.1204
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| 51 |
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1600 val perplexity 1236.9946
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| 52 |
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1600 train 7.097936 (lr=3.2030e-05) (hash(x)=144483776)
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| 53 |
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1700 val loss 7.0663
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| 54 |
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1700 val perplexity 1171.8545
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| 55 |
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1700 train 7.221328 (lr=3.1961e-05) (hash(x)=157395496)
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| 56 |
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1800 val loss 7.0269
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| 57 |
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1800 val perplexity 1126.5381
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1800 train 7.044158 (lr=3.1887e-05) (hash(x)=157916369)
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| 59 |
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1900 val loss 6.9853
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1900 val perplexity 1080.6533
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| 61 |
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1900 train 7.202100 (lr=3.1809e-05) (hash(x)=166073923)
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| 62 |
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2000 val loss 6.9577
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| 63 |
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2000 val perplexity 1051.2118
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| 64 |
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| 65 |
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2100 val loss 6.9203
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| 66 |
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2100 val perplexity 1012.6016
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2100 train 6.912439 (lr=3.1638e-05) (hash(x)=151925203)
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2200 val loss 6.8823
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2200 val perplexity 974.8445
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2400 val perplexity 899.9409
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16500 val perplexity 273.6787
|
| 499 |
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16500 train 5.419729 (lr=3.4905e-06) (hash(x)=149783517)
|
| 500 |
+
16600 val loss 5.6132
|
| 501 |
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16600 val perplexity 274.0175
|
| 502 |
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16600 train 5.444574 (lr=3.4449e-06) (hash(x)=142659127)
|
| 503 |
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16700 val loss 5.6057
|
| 504 |
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16700 val perplexity 271.9776
|
| 505 |
+
16700 train 5.668278 (lr=3.4041e-06) (hash(x)=149725921)
|
| 506 |
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16800 val loss 5.6037
|
| 507 |
+
16800 val perplexity 271.4249
|
| 508 |
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16800 train 5.455229 (lr=3.3680e-06) (hash(x)=140678087)
|
| 509 |
+
16900 val loss 5.6021
|
| 510 |
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16900 val perplexity 270.9842
|
| 511 |
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16900 train 5.614109 (lr=3.3367e-06) (hash(x)=146935413)
|
| 512 |
+
17000 val loss 5.6004
|
| 513 |
+
17000 val perplexity 270.5381
|
| 514 |
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17000 train 5.614009 (lr=3.3102e-06) (hash(x)=144408437)
|
| 515 |
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17100 val loss 5.6000
|
| 516 |
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17100 val perplexity 270.4159
|
| 517 |
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17100 train 5.451910 (lr=3.2886e-06) (hash(x)=149229905)
|
| 518 |
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17200 val loss 5.6000
|
| 519 |
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17200 val perplexity 270.4264
|
| 520 |
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17200 train 5.549056 (lr=3.2717e-06) (hash(x)=150471865)
|
| 521 |
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17300 val loss 5.6026
|
| 522 |
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17300 val perplexity 271.1258
|
| 523 |
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17300 train 5.492773 (lr=3.2596e-06) (hash(x)=155784916)
|
| 524 |
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17400 val loss 5.6052
|
| 525 |
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17400 val perplexity 271.8368
|
| 526 |
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17400 train 5.381482 (lr=3.2524e-06) (hash(x)=148482413)
|
| 527 |
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17499 val loss 5.5979
|
| 528 |
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17499 val perplexity 269.8707
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attention_kindselective_n_heads4_seed1340/model_17499.pt
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