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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": 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_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 |
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0 train 11.260221 (lr=1.7500e-07) (hash(x)=134751525)
|
| 5 |
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100 val loss 9.9291
|
| 6 |
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100 val perplexity 20519.6289
|
| 7 |
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100 train 9.985161 (lr=1.7675e-05) (hash(x)=144692155)
|
| 8 |
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200 val loss 8.9508
|
| 9 |
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200 val perplexity 7714.3545
|
| 10 |
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200 train 8.941199 (lr=3.5000e-05) (hash(x)=150358957)
|
| 11 |
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300 val loss 7.9899
|
| 12 |
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300 val perplexity 2951.1233
|
| 13 |
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300 train 7.977305 (lr=3.4997e-05) (hash(x)=150268299)
|
| 14 |
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400 val loss 7.6587
|
| 15 |
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400 val perplexity 2119.0889
|
| 16 |
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400 train 7.523974 (lr=3.4990e-05) (hash(x)=126319983)
|
| 17 |
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500 val loss 7.5258
|
| 18 |
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500 val perplexity 1855.2982
|
| 19 |
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500 train 7.562843 (lr=3.4977e-05) (hash(x)=153934799)
|
| 20 |
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600 val loss 7.4580
|
| 21 |
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600 val perplexity 1733.6735
|
| 22 |
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600 train 7.496515 (lr=3.4958e-05) (hash(x)=159305874)
|
| 23 |
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700 val loss 7.3982
|
| 24 |
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700 val perplexity 1633.0657
|
| 25 |
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700 train 7.247789 (lr=3.4935e-05) (hash(x)=141986303)
|
| 26 |
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800 val loss 7.3487
|
| 27 |
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800 val perplexity 1554.2023
|
| 28 |
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800 train 7.334450 (lr=3.4907e-05) (hash(x)=149855631)
|
| 29 |
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900 val loss 7.3277
|
| 30 |
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900 val perplexity 1521.9357
|
| 31 |
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900 train 7.209392 (lr=3.4873e-05) (hash(x)=149870240)
|
| 32 |
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1000 val loss 7.2682
|
| 33 |
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1000 val perplexity 1434.0243
|
| 34 |
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1000 train 7.337144 (lr=3.4834e-05) (hash(x)=150706760)
|
| 35 |
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1100 val loss 7.2189
|
| 36 |
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1100 val perplexity 1364.9252
|
| 37 |
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1100 train 7.050467 (lr=3.4790e-05) (hash(x)=139020621)
|
| 38 |
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1200 val loss 7.1836
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| 39 |
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1200 val perplexity 1317.6602
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| 40 |
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1200 train 7.040086 (lr=3.4741e-05) (hash(x)=146858163)
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| 41 |
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1300 val loss 7.1446
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| 42 |
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1300 val perplexity 1267.2871
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| 43 |
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1300 train 7.213032 (lr=3.4687e-05) (hash(x)=156383408)
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| 44 |
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1400 val loss 7.1153
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| 45 |
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1400 val perplexity 1230.6442
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| 46 |
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1400 train 7.043497 (lr=3.4628e-05) (hash(x)=144262072)
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| 47 |
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1500 val loss 7.0863
|
| 48 |
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1500 val perplexity 1195.4648
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| 49 |
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1500 train 6.938719 (lr=3.4563e-05) (hash(x)=144528048)
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| 50 |
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1600 val loss 7.0442
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| 51 |
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1600 val perplexity 1146.2073
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| 52 |
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1600 train 6.957266 (lr=3.4494e-05) (hash(x)=135443880)
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| 53 |
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1700 val loss 7.0055
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| 54 |
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1700 val perplexity 1102.6990
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| 55 |
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1700 train 6.924539 (lr=3.4419e-05) (hash(x)=145067496)
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| 56 |
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1800 val loss 6.9669
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1800 val perplexity 1060.9297
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1800 train 6.931795 (lr=3.4340e-05) (hash(x)=153147388)
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1900 val loss 6.9350
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1900 val perplexity 1027.5972
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1900 train 6.825403 (lr=3.4255e-05) (hash(x)=151331979)
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| 62 |
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2000 val loss 6.9077
|
| 63 |
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2000 val perplexity 999.9653
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2000 train 6.702426 (lr=3.4166e-05) (hash(x)=151448445)
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| 65 |
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2100 val loss 6.8685
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2100 val perplexity 961.4578
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2100 train 6.773091 (lr=3.4072e-05) (hash(x)=157223072)
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2200 val loss 6.8307
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2200 val perplexity 925.7949
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2200 train 6.842752 (lr=3.3973e-05) (hash(x)=153161010)
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2300 val loss 6.7902
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2300 val perplexity 889.0865
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2400 val perplexity 861.3398
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2400 train 6.646911 (lr=3.3760e-05) (hash(x)=143227423)
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2500 val loss 6.7132
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2500 val perplexity 823.2204
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2600 val loss 6.6785
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16500 val perplexity 272.1422
|
| 499 |
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16500 train 5.601939 (lr=3.7590e-06) (hash(x)=156112678)
|
| 500 |
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16600 val loss 5.6044
|
| 501 |
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16600 val perplexity 271.6206
|
| 502 |
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16600 train 5.548048 (lr=3.7099e-06) (hash(x)=150449728)
|
| 503 |
+
16700 val loss 5.6020
|
| 504 |
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16700 val perplexity 270.9666
|
| 505 |
+
16700 train 5.661832 (lr=3.6659e-06) (hash(x)=153905935)
|
| 506 |
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16800 val loss 5.5997
|
| 507 |
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16800 val perplexity 270.3404
|
| 508 |
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16800 train 5.565632 (lr=3.6271e-06) (hash(x)=144086573)
|
| 509 |
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16900 val loss 5.5996
|
| 510 |
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16900 val perplexity 270.3120
|
| 511 |
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16900 train 5.573380 (lr=3.5934e-06) (hash(x)=145863379)
|
| 512 |
+
17000 val loss 5.5997
|
| 513 |
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17000 val perplexity 270.3401
|
| 514 |
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17000 train 5.662974 (lr=3.5649e-06) (hash(x)=149054226)
|
| 515 |
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17100 val loss 5.6001
|
| 516 |
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17100 val perplexity 270.4409
|
| 517 |
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17100 train 5.507200 (lr=3.5415e-06) (hash(x)=147109203)
|
| 518 |
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17200 val loss 5.5970
|
| 519 |
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17200 val perplexity 269.6129
|
| 520 |
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17200 train 5.529955 (lr=3.5234e-06) (hash(x)=141837353)
|
| 521 |
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17300 val loss 5.5958
|
| 522 |
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17300 val perplexity 269.2928
|
| 523 |
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17300 train 5.607386 (lr=3.5104e-06) (hash(x)=148542064)
|
| 524 |
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17400 val loss 5.5940
|
| 525 |
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17400 val perplexity 268.8177
|
| 526 |
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17400 train 5.431786 (lr=3.5026e-06) (hash(x)=140939390)
|
| 527 |
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17499 val loss 5.5938
|
| 528 |
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17499 val perplexity 268.7424
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