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attention_kindselective_n_heads4_seed1342/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1342", "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": 1342, "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_seed1342", "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": 1342, "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_1342", "n_embd": 256}
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attention_kindselective_n_heads4_seed1342/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2907
|
| 3 |
0 val perplexity 80077.4453
|
| 4 |
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0 train 11.286213 (lr=1.3750e-07) (hash(x)=150332693)
|
| 5 |
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100 val loss 9.9514
|
| 6 |
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100 val perplexity 20981.1719
|
| 7 |
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100 train 9.972456 (lr=1.3888e-05) (hash(x)=148948662)
|
| 8 |
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200 val loss 9.0084
|
| 9 |
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200 val perplexity 8171.4985
|
| 10 |
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200 train 8.930535 (lr=2.7500e-05) (hash(x)=149277319)
|
| 11 |
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300 val loss 7.9062
|
| 12 |
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300 val perplexity 2714.1672
|
| 13 |
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300 train 7.803435 (lr=2.7498e-05) (hash(x)=146429920)
|
| 14 |
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400 val loss 7.5790
|
| 15 |
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400 val perplexity 1956.7255
|
| 16 |
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400 train 7.696357 (lr=2.7492e-05) (hash(x)=155934075)
|
| 17 |
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500 val loss 7.4743
|
| 18 |
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500 val perplexity 1762.2222
|
| 19 |
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500 train 7.482019 (lr=2.7482e-05) (hash(x)=157510366)
|
| 20 |
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600 val loss 7.4041
|
| 21 |
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600 val perplexity 1642.7472
|
| 22 |
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600 train 7.518789 (lr=2.7467e-05) (hash(x)=165402628)
|
| 23 |
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700 val loss 7.3399
|
| 24 |
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700 val perplexity 1540.5265
|
| 25 |
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700 train 7.399743 (lr=2.7449e-05) (hash(x)=166427433)
|
| 26 |
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800 val loss 7.2851
|
| 27 |
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800 val perplexity 1458.4285
|
| 28 |
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800 train 7.083396 (lr=2.7427e-05) (hash(x)=139168939)
|
| 29 |
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900 val loss 7.2414
|
| 30 |
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900 val perplexity 1396.0408
|
| 31 |
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900 train 7.144016 (lr=2.7400e-05) (hash(x)=144698667)
|
| 32 |
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1000 val loss 7.1911
|
| 33 |
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1000 val perplexity 1327.6097
|
| 34 |
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1000 train 7.171625 (lr=2.7370e-05) (hash(x)=147134338)
|
| 35 |
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1100 val loss 7.1443
|
| 36 |
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1100 val perplexity 1266.8485
|
| 37 |
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1100 train 7.110559 (lr=2.7335e-05) (hash(x)=147172640)
|
| 38 |
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1200 val loss 7.1005
|
| 39 |
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1200 val perplexity 1212.5867
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| 40 |
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1200 train 7.100369 (lr=2.7297e-05) (hash(x)=159086459)
|
| 41 |
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1300 val loss 7.0613
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| 42 |
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1300 val perplexity 1165.9291
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| 43 |
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1300 train 6.819506 (lr=2.7254e-05) (hash(x)=141578940)
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| 44 |
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1400 val loss 7.0270
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| 45 |
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1400 val perplexity 1126.5918
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| 46 |
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1400 train 7.090215 (lr=2.7207e-05) (hash(x)=152399099)
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| 47 |
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1500 val loss 6.9761
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| 48 |
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1500 val perplexity 1070.7262
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| 49 |
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1500 train 7.055522 (lr=2.7157e-05) (hash(x)=158569712)
|
| 50 |
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1600 val loss 6.9304
|
| 51 |
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1600 val perplexity 1022.9405
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| 52 |
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1600 train 7.023970 (lr=2.7102e-05) (hash(x)=156548843)
|
| 53 |
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1700 val loss 6.8955
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| 54 |
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1700 val perplexity 987.8098
|
| 55 |
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1700 train 6.901347 (lr=2.7044e-05) (hash(x)=152608173)
|
| 56 |
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1800 val loss 6.8543
|
| 57 |
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1800 val perplexity 947.9863
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1800 train 6.928975 (lr=2.6981e-05) (hash(x)=157889911)
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1900 val loss 6.8293
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1900 val perplexity 924.5248
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1900 train 6.787612 (lr=2.6915e-05) (hash(x)=140839139)
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| 62 |
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2000 val loss 6.7897
|
| 63 |
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2000 val perplexity 888.6237
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2000 train 6.679601 (lr=2.6845e-05) (hash(x)=142943707)
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| 65 |
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2100 val loss 6.7547
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2100 val perplexity 858.0652
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2100 train 6.727079 (lr=2.6771e-05) (hash(x)=151025344)
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2200 val loss 6.7160
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2200 val perplexity 825.4786
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2200 train 6.709481 (lr=2.6693e-05) (hash(x)=148938689)
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2300 val loss 6.6813
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2400 val perplexity 762.7330
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2400 train 6.865366 (lr=2.6525e-05) (hash(x)=161962903)
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2500 val loss 6.6012
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2500 val perplexity 735.9520
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2600 train 6.628248 (lr=2.6343e-05) (hash(x)=145979235)
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2700 train 6.600425 (lr=2.6246e-05) (hash(x)=149091945)
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2900 train 6.509790 (lr=2.6042e-05) (hash(x)=155377499)
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3000 val loss 6.4763
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3000 val perplexity 649.5642
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+
16500 val loss 5.6643
|
| 498 |
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16500 val perplexity 288.3983
|
| 499 |
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16500 train 5.553295 (lr=2.9535e-06) (hash(x)=151706615)
|
| 500 |
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16600 val loss 5.6628
|
| 501 |
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16600 val perplexity 287.9627
|
| 502 |
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16600 train 5.548329 (lr=2.9149e-06) (hash(x)=142110626)
|
| 503 |
+
16700 val loss 5.6636
|
| 504 |
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16700 val perplexity 288.1895
|
| 505 |
+
16700 train 5.557631 (lr=2.8804e-06) (hash(x)=153222439)
|
| 506 |
+
16800 val loss 5.6631
|
| 507 |
+
16800 val perplexity 288.0464
|
| 508 |
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16800 train 5.597987 (lr=2.8498e-06) (hash(x)=154964902)
|
| 509 |
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16900 val loss 5.6597
|
| 510 |
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16900 val perplexity 287.0678
|
| 511 |
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16900 train 5.819545 (lr=2.8234e-06) (hash(x)=158893204)
|
| 512 |
+
17000 val loss 5.6579
|
| 513 |
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17000 val perplexity 286.5460
|
| 514 |
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17000 train 5.582509 (lr=2.8010e-06) (hash(x)=148929955)
|
| 515 |
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17100 val loss 5.6586
|
| 516 |
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17100 val perplexity 286.7525
|
| 517 |
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17100 train 5.656537 (lr=2.7826e-06) (hash(x)=147818677)
|
| 518 |
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17200 val loss 5.6572
|
| 519 |
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17200 val perplexity 286.3454
|
| 520 |
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17200 train 5.592340 (lr=2.7684e-06) (hash(x)=147119446)
|
| 521 |
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17300 val loss 5.6573
|
| 522 |
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17300 val perplexity 286.3883
|
| 523 |
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17300 train 5.699736 (lr=2.7582e-06) (hash(x)=150494142)
|
| 524 |
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17400 val loss 5.6580
|
| 525 |
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17400 val perplexity 286.5887
|
| 526 |
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17400 train 5.689650 (lr=2.7520e-06) (hash(x)=155918058)
|
| 527 |
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17499 val loss 5.6557
|
| 528 |
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17499 val perplexity 285.9162
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