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attention_kindselective_n_heads4_seed1344/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1344", "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": 1344, "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_seed1344", "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": 1344, "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_1344", "n_embd": 256}
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attention_kindselective_n_heads4_seed1344/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.2848
|
| 3 |
0 val perplexity 79602.4766
|
| 4 |
+
0 train 11.283560 (lr=1.6250e-07) (hash(x)=145830960)
|
| 5 |
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100 val loss 9.9599
|
| 6 |
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100 val perplexity 21160.5156
|
| 7 |
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100 train 9.980744 (lr=1.6412e-05) (hash(x)=156335112)
|
| 8 |
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200 val loss 9.0912
|
| 9 |
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200 val perplexity 8876.4326
|
| 10 |
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200 train 9.151538 (lr=3.2500e-05) (hash(x)=144157453)
|
| 11 |
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300 val loss 8.1860
|
| 12 |
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300 val perplexity 3590.2598
|
| 13 |
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300 train 8.190341 (lr=3.2498e-05) (hash(x)=149245414)
|
| 14 |
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400 val loss 7.8564
|
| 15 |
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400 val perplexity 2582.1475
|
| 16 |
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400 train 7.900827 (lr=3.2490e-05) (hash(x)=146764602)
|
| 17 |
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500 val loss 7.6707
|
| 18 |
+
500 val perplexity 2144.5127
|
| 19 |
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500 train 7.630148 (lr=3.2478e-05) (hash(x)=152540261)
|
| 20 |
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600 val loss 7.5701
|
| 21 |
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600 val perplexity 1939.3589
|
| 22 |
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600 train 7.349800 (lr=3.2461e-05) (hash(x)=140559124)
|
| 23 |
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700 val loss 7.4952
|
| 24 |
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700 val perplexity 1799.3420
|
| 25 |
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700 train 7.542197 (lr=3.2440e-05) (hash(x)=156003556)
|
| 26 |
+
800 val loss 7.4500
|
| 27 |
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800 val perplexity 1719.9104
|
| 28 |
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800 train 7.963747 (lr=3.2413e-05) (hash(x)=166024176)
|
| 29 |
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900 val loss 7.4207
|
| 30 |
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900 val perplexity 1670.2000
|
| 31 |
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900 train 7.463220 (lr=3.2382e-05) (hash(x)=156196976)
|
| 32 |
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1000 val loss 7.3957
|
| 33 |
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1000 val perplexity 1628.8840
|
| 34 |
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1000 train 7.477394 (lr=3.2346e-05) (hash(x)=161040668)
|
| 35 |
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1100 val loss 7.3753
|
| 36 |
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1100 val perplexity 1596.0294
|
| 37 |
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1100 train 7.463724 (lr=3.2305e-05) (hash(x)=175899671)
|
| 38 |
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1200 val loss 7.3571
|
| 39 |
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1200 val perplexity 1567.2632
|
| 40 |
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1200 train 7.373929 (lr=3.2260e-05) (hash(x)=148878990)
|
| 41 |
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1300 val loss 7.3335
|
| 42 |
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1300 val perplexity 1530.7035
|
| 43 |
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1300 train 7.324839 (lr=3.2209e-05) (hash(x)=147253797)
|
| 44 |
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1400 val loss 7.3084
|
| 45 |
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1400 val perplexity 1492.7358
|
| 46 |
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1400 train 7.329314 (lr=3.2154e-05) (hash(x)=150420695)
|
| 47 |
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1500 val loss 7.2696
|
| 48 |
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1500 val perplexity 1435.9690
|
| 49 |
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1500 train 7.223187 (lr=3.2094e-05) (hash(x)=146933283)
|
| 50 |
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1600 val loss 7.2424
|
| 51 |
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1600 val perplexity 1397.3754
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| 52 |
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1600 train 7.211983 (lr=3.2030e-05) (hash(x)=151995229)
|
| 53 |
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1700 val loss 7.2171
|
| 54 |
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1700 val perplexity 1362.4900
|
| 55 |
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1700 train 7.459997 (lr=3.1961e-05) (hash(x)=154468626)
|
| 56 |
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1800 val loss 7.2010
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| 57 |
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1800 val perplexity 1340.7111
|
| 58 |
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1800 train 6.917479 (lr=3.1887e-05) (hash(x)=139853932)
|
| 59 |
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1900 val loss 7.1688
|
| 60 |
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1900 val perplexity 1298.2341
|
| 61 |
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1900 train 6.966431 (lr=3.1809e-05) (hash(x)=142492588)
|
| 62 |
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2000 val loss 7.1404
|
| 63 |
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2000 val perplexity 1261.8771
|
| 64 |
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2000 train 7.475838 (lr=3.1726e-05) (hash(x)=174104207)
|
| 65 |
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2100 val loss 7.1090
|
| 66 |
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2100 val perplexity 1222.9773
|
| 67 |
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2100 train 7.088420 (lr=3.1638e-05) (hash(x)=151046997)
|
| 68 |
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2200 val loss 7.0901
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| 69 |
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2200 val perplexity 1200.0785
|
| 70 |
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2200 train 6.951235 (lr=3.1546e-05) (hash(x)=146275038)
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| 71 |
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2300 val loss 7.0700
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| 72 |
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2300 val perplexity 1176.1006
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2300 train 6.987461 (lr=3.1449e-05) (hash(x)=147779512)
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| 74 |
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2400 val loss 7.0425
|
| 75 |
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2400 val perplexity 1144.2594
|
| 76 |
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2400 train 6.903728 (lr=3.1348e-05) (hash(x)=141403655)
|
| 77 |
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2500 val loss 7.0185
|
| 78 |
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2500 val perplexity 1117.1313
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2500 train 6.996836 (lr=3.1243e-05) (hash(x)=160143436)
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2600 val loss 6.9944
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2600 val perplexity 1090.4697
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2600 train 7.262850 (lr=3.1133e-05) (hash(x)=173675040)
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2700 val loss 6.9657
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2700 val perplexity 1059.6196
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2700 train 6.981391 (lr=3.1019e-05) (hash(x)=150124772)
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2800 val loss 6.9322
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2800 val perplexity 1024.7571
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2800 train 7.053523 (lr=3.0900e-05) (hash(x)=162475906)
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2900 val loss 6.9104
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2900 val perplexity 1002.6725
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2900 train 6.838933 (lr=3.0777e-05) (hash(x)=152789231)
|
| 92 |
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3000 val loss 6.8856
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3000 val perplexity 978.1113
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3000 train 6.811411 (lr=3.0650e-05) (hash(x)=152785612)
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3200 val loss 6.8196
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3200 val perplexity 915.5900
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3300 val loss 6.7851
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3300 val perplexity 884.5807
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3300 train 7.016383 (lr=3.0243e-05) (hash(x)=176259299)
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3400 val loss 6.7537
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5000 val loss 6.3958
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| 501 |
+
16600 val perplexity 310.7890
|
| 502 |
+
16600 train 5.895504 (lr=3.4449e-06) (hash(x)=164389325)
|
| 503 |
+
16700 val loss 5.7378
|
| 504 |
+
16700 val perplexity 310.3712
|
| 505 |
+
16700 train 5.643941 (lr=3.4041e-06) (hash(x)=146016298)
|
| 506 |
+
16800 val loss 5.7378
|
| 507 |
+
16800 val perplexity 310.3949
|
| 508 |
+
16800 train 5.648126 (lr=3.3680e-06) (hash(x)=147668192)
|
| 509 |
+
16900 val loss 5.7370
|
| 510 |
+
16900 val perplexity 310.1412
|
| 511 |
+
16900 train 5.715910 (lr=3.3367e-06) (hash(x)=155692530)
|
| 512 |
+
17000 val loss 5.7375
|
| 513 |
+
17000 val perplexity 310.2915
|
| 514 |
+
17000 train 5.663022 (lr=3.3102e-06) (hash(x)=156598351)
|
| 515 |
+
17100 val loss 5.7380
|
| 516 |
+
17100 val perplexity 310.4377
|
| 517 |
+
17100 train 5.648726 (lr=3.2886e-06) (hash(x)=157344236)
|
| 518 |
+
17200 val loss 5.7349
|
| 519 |
+
17200 val perplexity 309.4906
|
| 520 |
+
17200 train 5.538077 (lr=3.2717e-06) (hash(x)=126288656)
|
| 521 |
+
17300 val loss 5.7323
|
| 522 |
+
17300 val perplexity 308.6758
|
| 523 |
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17300 train 5.773144 (lr=3.2596e-06) (hash(x)=146365959)
|
| 524 |
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17400 val loss 5.7304
|
| 525 |
+
17400 val perplexity 308.0987
|
| 526 |
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17400 train 5.714909 (lr=3.2524e-06) (hash(x)=152729388)
|
| 527 |
+
17499 val loss 5.7284
|
| 528 |
+
17499 val perplexity 307.4802
|
attention_kindselective_n_heads4_seed1344/model_17499.pt
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