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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": 3e-05, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "3e-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=1.5000e-07) (hash(x)=150332693)
|
| 5 |
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100 val loss 9.9351
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| 6 |
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100 val perplexity 20642.3594
|
| 7 |
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100 train 9.958242 (lr=1.5150e-05) (hash(x)=148948662)
|
| 8 |
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200 val loss 9.0369
|
| 9 |
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200 val perplexity 8407.2920
|
| 10 |
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200 train 8.958506 (lr=3.0000e-05) (hash(x)=149277319)
|
| 11 |
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300 val loss 7.9533
|
| 12 |
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300 val perplexity 2844.9207
|
| 13 |
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300 train 7.853283 (lr=2.9998e-05) (hash(x)=146429920)
|
| 14 |
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400 val loss 7.6313
|
| 15 |
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400 val perplexity 2061.7974
|
| 16 |
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400 train 7.745924 (lr=2.9991e-05) (hash(x)=155934075)
|
| 17 |
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500 val loss 7.5210
|
| 18 |
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500 val perplexity 1846.3237
|
| 19 |
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500 train 7.530861 (lr=2.9980e-05) (hash(x)=157510366)
|
| 20 |
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600 val loss 7.4547
|
| 21 |
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600 val perplexity 1727.9935
|
| 22 |
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600 train 7.567689 (lr=2.9964e-05) (hash(x)=165402628)
|
| 23 |
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700 val loss 7.3864
|
| 24 |
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700 val perplexity 1613.9584
|
| 25 |
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700 train 7.445437 (lr=2.9944e-05) (hash(x)=166427433)
|
| 26 |
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800 val loss 7.3378
|
| 27 |
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800 val perplexity 1537.3270
|
| 28 |
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800 train 7.138241 (lr=2.9920e-05) (hash(x)=139168939)
|
| 29 |
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900 val loss 7.2903
|
| 30 |
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900 val perplexity 1466.0508
|
| 31 |
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900 train 7.199311 (lr=2.9891e-05) (hash(x)=144698667)
|
| 32 |
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1000 val loss 7.2443
|
| 33 |
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1000 val perplexity 1400.1667
|
| 34 |
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|
| 35 |
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1100 val loss 7.2013
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| 36 |
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1100 val perplexity 1341.2264
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| 37 |
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1100 train 7.165863 (lr=2.9820e-05) (hash(x)=147172640)
|
| 38 |
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1200 val loss 7.1529
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| 39 |
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1200 val perplexity 1277.8662
|
| 40 |
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1200 train 7.153451 (lr=2.9778e-05) (hash(x)=159086459)
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| 41 |
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1300 val loss 7.1123
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| 42 |
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1300 val perplexity 1226.9387
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1300 train 6.877395 (lr=2.9732e-05) (hash(x)=141578940)
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| 44 |
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1400 val loss 7.0736
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1400 val perplexity 1180.4430
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| 46 |
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1400 train 7.141044 (lr=2.9681e-05) (hash(x)=152399099)
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| 47 |
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1500 val loss 7.0265
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| 48 |
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1500 val perplexity 1126.0300
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| 49 |
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1500 train 7.104778 (lr=2.9626e-05) (hash(x)=158569712)
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| 50 |
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1600 val loss 6.9794
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| 51 |
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1600 val perplexity 1074.2599
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| 52 |
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1600 train 7.075292 (lr=2.9566e-05) (hash(x)=156548843)
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| 53 |
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1700 val loss 6.9464
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| 54 |
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1700 val perplexity 1039.4301
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| 55 |
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1700 train 6.948898 (lr=2.9502e-05) (hash(x)=152608173)
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| 56 |
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1800 val loss 6.9093
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| 57 |
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1800 val perplexity 1001.5162
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1800 train 6.986165 (lr=2.9434e-05) (hash(x)=157889911)
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| 59 |
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1900 val loss 6.8804
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1900 val perplexity 973.0444
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1900 train 6.833936 (lr=2.9362e-05) (hash(x)=140839139)
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| 62 |
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2000 val loss 6.8449
|
| 63 |
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2000 val perplexity 939.1225
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2000 train 6.733738 (lr=2.9285e-05) (hash(x)=142943707)
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| 65 |
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2100 val loss 6.8209
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2100 val perplexity 916.8447
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2100 train 6.793978 (lr=2.9204e-05) (hash(x)=151025344)
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2200 val loss 6.7804
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2200 val perplexity 880.4022
|
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2400 val perplexity 810.0812
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2400 train 6.919641 (lr=2.8937e-05) (hash(x)=161962903)
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2500 val loss 6.6544
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2500 val perplexity 776.1724
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2600 val perplexity 749.6511
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3300 train 6.430489 (lr=2.7917e-05) (hash(x)=155558767)
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+
16500 val perplexity 269.0238
|
| 499 |
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16500 train 5.474696 (lr=3.2220e-06) (hash(x)=151706615)
|
| 500 |
+
16600 val loss 5.5926
|
| 501 |
+
16600 val perplexity 268.4265
|
| 502 |
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16600 train 5.483826 (lr=3.1799e-06) (hash(x)=142110626)
|
| 503 |
+
16700 val loss 5.5937
|
| 504 |
+
16700 val perplexity 268.7342
|
| 505 |
+
16700 train 5.486968 (lr=3.1422e-06) (hash(x)=153222439)
|
| 506 |
+
16800 val loss 5.5921
|
| 507 |
+
16800 val perplexity 268.2885
|
| 508 |
+
16800 train 5.519623 (lr=3.1089e-06) (hash(x)=154964902)
|
| 509 |
+
16900 val loss 5.5899
|
| 510 |
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16900 val perplexity 267.6995
|
| 511 |
+
16900 train 5.766605 (lr=3.0801e-06) (hash(x)=158893204)
|
| 512 |
+
17000 val loss 5.5877
|
| 513 |
+
17000 val perplexity 267.1279
|
| 514 |
+
17000 train 5.519545 (lr=3.0556e-06) (hash(x)=148929955)
|
| 515 |
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17100 val loss 5.5881
|
| 516 |
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17100 val perplexity 267.2181
|
| 517 |
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17100 train 5.599936 (lr=3.0356e-06) (hash(x)=147818677)
|
| 518 |
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17200 val loss 5.5868
|
| 519 |
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17200 val perplexity 266.8931
|
| 520 |
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17200 train 5.519412 (lr=3.0200e-06) (hash(x)=147119446)
|
| 521 |
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17300 val loss 5.5870
|
| 522 |
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17300 val perplexity 266.9319
|
| 523 |
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17300 train 5.630085 (lr=3.0089e-06) (hash(x)=150494142)
|
| 524 |
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17400 val loss 5.5871
|
| 525 |
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17400 val perplexity 266.9568
|
| 526 |
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17400 train 5.614751 (lr=3.0022e-06) (hash(x)=155918058)
|
| 527 |
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17499 val loss 5.5846
|
| 528 |
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17499 val perplexity 266.2846
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attention_kindselective_n_heads4_seed1342/model_17499.pt
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