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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": 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_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 |
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0 train 11.263341 (lr=1.3750e-07) (hash(x)=150327452)
|
| 5 |
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100 val loss 9.9216
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| 6 |
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100 val perplexity 20365.0898
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| 7 |
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100 train 9.932128 (lr=1.3888e-05) (hash(x)=166441190)
|
| 8 |
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200 val loss 9.2026
|
| 9 |
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200 val perplexity 9923.1172
|
| 10 |
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200 train 9.311575 (lr=2.7500e-05) (hash(x)=166780046)
|
| 11 |
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300 val loss 8.1964
|
| 12 |
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300 val perplexity 3627.8376
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| 13 |
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300 train 8.155242 (lr=2.7498e-05) (hash(x)=159835303)
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| 14 |
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400 val loss 7.7685
|
| 15 |
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400 val perplexity 2365.0269
|
| 16 |
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400 train 7.570842 (lr=2.7492e-05) (hash(x)=155040610)
|
| 17 |
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500 val loss 7.6098
|
| 18 |
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500 val perplexity 2017.9415
|
| 19 |
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500 train 7.360526 (lr=2.7482e-05) (hash(x)=130190460)
|
| 20 |
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600 val loss 7.5112
|
| 21 |
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600 val perplexity 1828.4420
|
| 22 |
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600 train 7.535985 (lr=2.7467e-05) (hash(x)=155504036)
|
| 23 |
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700 val loss 7.4475
|
| 24 |
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700 val perplexity 1715.5283
|
| 25 |
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700 train 7.301879 (lr=2.7449e-05) (hash(x)=137347213)
|
| 26 |
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800 val loss 7.3965
|
| 27 |
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800 val perplexity 1630.2454
|
| 28 |
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800 train 7.251807 (lr=2.7427e-05) (hash(x)=143823248)
|
| 29 |
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900 val loss 7.3470
|
| 30 |
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900 val perplexity 1551.5825
|
| 31 |
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900 train 7.458832 (lr=2.7400e-05) (hash(x)=156260416)
|
| 32 |
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1000 val loss 7.3139
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| 33 |
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1000 val perplexity 1501.0842
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| 34 |
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|
| 35 |
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1100 val loss 7.2764
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| 36 |
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1100 val perplexity 1445.7637
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| 37 |
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1100 train 7.209399 (lr=2.7335e-05) (hash(x)=160013925)
|
| 38 |
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1200 val loss 7.2480
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| 39 |
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1200 val perplexity 1405.2816
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| 40 |
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1200 train 6.993395 (lr=2.7297e-05) (hash(x)=150678249)
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1300 val loss 7.2195
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| 42 |
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1300 val perplexity 1365.8458
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| 44 |
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1400 val loss 7.1645
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1400 val perplexity 1292.6741
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1400 train 7.483765 (lr=2.7207e-05) (hash(x)=175802021)
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| 47 |
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1500 val loss 7.1143
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| 48 |
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1500 val perplexity 1229.3901
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1500 train 7.375745 (lr=2.7157e-05) (hash(x)=171034639)
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| 50 |
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1600 val loss 7.0674
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| 51 |
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1600 val perplexity 1173.0409
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1600 train 7.270476 (lr=2.7102e-05) (hash(x)=158681215)
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| 53 |
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1700 val loss 7.0231
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1700 val perplexity 1122.2725
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1700 train 6.961975 (lr=2.7044e-05) (hash(x)=152116061)
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1800 val loss 6.9929
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1800 val perplexity 1088.8434
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1900 val loss 6.9646
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1900 val perplexity 1058.4460
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1900 train 6.793094 (lr=2.6915e-05) (hash(x)=147598108)
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2000 val loss 6.9345
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2000 val perplexity 1027.1322
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2000 train 6.798426 (lr=2.6845e-05) (hash(x)=154996086)
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| 65 |
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2100 val loss 6.9084
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2100 val perplexity 1000.6855
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2100 train 6.694521 (lr=2.6771e-05) (hash(x)=153396183)
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2200 val loss 6.8577
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2200 val perplexity 951.1731
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2400 val perplexity 874.5115
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| 498 |
+
16500 val perplexity 289.8988
|
| 499 |
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16500 train 5.688489 (lr=2.9535e-06) (hash(x)=141049320)
|
| 500 |
+
16600 val loss 5.6693
|
| 501 |
+
16600 val perplexity 289.8406
|
| 502 |
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16600 train 5.527473 (lr=2.9149e-06) (hash(x)=150512136)
|
| 503 |
+
16700 val loss 5.6678
|
| 504 |
+
16700 val perplexity 289.3889
|
| 505 |
+
16700 train 5.678548 (lr=2.8804e-06) (hash(x)=151843645)
|
| 506 |
+
16800 val loss 5.6655
|
| 507 |
+
16800 val perplexity 288.7390
|
| 508 |
+
16800 train 5.724266 (lr=2.8498e-06) (hash(x)=140073659)
|
| 509 |
+
16900 val loss 5.6635
|
| 510 |
+
16900 val perplexity 288.1412
|
| 511 |
+
16900 train 5.852492 (lr=2.8234e-06) (hash(x)=171157212)
|
| 512 |
+
17000 val loss 5.6630
|
| 513 |
+
17000 val perplexity 288.0170
|
| 514 |
+
17000 train 5.594303 (lr=2.8010e-06) (hash(x)=144553276)
|
| 515 |
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17100 val loss 5.6631
|
| 516 |
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17100 val perplexity 288.0265
|
| 517 |
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17100 train 5.660722 (lr=2.7826e-06) (hash(x)=157717565)
|
| 518 |
+
17200 val loss 5.6633
|
| 519 |
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17200 val perplexity 288.0857
|
| 520 |
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17200 train 5.528824 (lr=2.7684e-06) (hash(x)=149843860)
|
| 521 |
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17300 val loss 5.6609
|
| 522 |
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17300 val perplexity 287.3978
|
| 523 |
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17300 train 5.721745 (lr=2.7582e-06) (hash(x)=162171979)
|
| 524 |
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17400 val loss 5.6599
|
| 525 |
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17400 val perplexity 287.1299
|
| 526 |
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17400 train 5.633310 (lr=2.7520e-06) (hash(x)=148400702)
|
| 527 |
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17499 val loss 5.6588
|
| 528 |
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17499 val perplexity 286.7997
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attention_kindselective_n_heads4_seed1338/model_17499.pt
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