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attention_kindselective_n_heads4_seed1340/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1340", "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": 8750, "warmup_steps": 500, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "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": 61440, "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_seed1340", "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": 8750, "warmup_steps": 500, "group": "wider_is_better_9", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1340, "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": 61440, "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_61440_4_1340", "n_embd": 256}
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attention_kindselective_n_heads4_seed1340/log2.txt
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max_steps: 8750
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2300 val loss 6.2524
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2300 val perplexity 519.2788
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2300 train 6.244119 (lr=3.5935e-05) (hash(x)=142234024)
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0 val loss 11.2709
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max_steps: 8750
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| 2 |
0 val loss 11.2709
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| 3 |
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0 val perplexity 78503.8281
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| 4 |
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0 val loss 11.2709
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| 5 |
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0 val perplexity 78503.8281
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0 train 11.277061 (lr=7.0000e-08) (hash(x)=164406924)
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| 7 |
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0 train 11.277061 (lr=6.0000e-08) (hash(x)=164406924)
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| 8 |
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100 val loss 10.1502
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| 9 |
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100 val perplexity 25596.3652
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| 10 |
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100 train 10.113564 (lr=7.0700e-06) (hash(x)=144903932)
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| 11 |
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100 val loss 10.2327
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| 12 |
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100 val perplexity 27796.1465
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| 13 |
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100 train 10.198875 (lr=6.0600e-06) (hash(x)=144903932)
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| 14 |
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200 val loss 9.7291
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200 val perplexity 16799.9590
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200 train 9.783854 (lr=1.4070e-05) (hash(x)=167734596)
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| 17 |
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200 val loss 9.8080
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200 val perplexity 18177.9453
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| 19 |
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200 train 9.861107 (lr=1.2060e-05) (hash(x)=167734596)
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| 20 |
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300 val loss 8.8589
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300 val perplexity 7036.8594
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300 train 8.904337 (lr=2.1070e-05) (hash(x)=149619098)
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| 23 |
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300 val loss 8.9841
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| 24 |
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300 val perplexity 7975.3730
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| 25 |
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300 train 9.031675 (lr=1.8060e-05) (hash(x)=149619098)
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| 26 |
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400 val loss 7.9793
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400 val perplexity 2919.9771
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400 train 7.923836 (lr=2.8070e-05) (hash(x)=153710890)
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| 29 |
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400 val loss 8.0370
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400 val perplexity 3093.2683
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400 train 7.987201 (lr=2.4060e-05) (hash(x)=153710890)
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500 val loss 7.6324
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500 val perplexity 2063.9663
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500 train 7.716890 (lr=3.5000e-05) (hash(x)=145450636)
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500 val loss 7.6279
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500 val perplexity 2054.7944
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500 train 7.708719 (lr=3.0000e-05) (hash(x)=145450636)
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600 val loss 7.4815
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600 val perplexity 1774.9750
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600 train 7.341413 (lr=3.4989e-05) (hash(x)=145249251)
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600 val loss 7.4696
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600 val perplexity 1753.8359
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600 train 7.332487 (lr=2.9990e-05) (hash(x)=145249251)
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700 val loss 7.3877
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700 val perplexity 1615.9683
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700 train 7.501635 (lr=3.4954e-05) (hash(x)=150475545)
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700 val loss 7.3795
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700 val perplexity 1602.7659
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700 train 7.492246 (lr=2.9961e-05) (hash(x)=150475545)
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| 50 |
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800 val loss 7.3168
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800 val perplexity 1505.4194
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800 train 7.283746 (lr=3.4897e-05) (hash(x)=144483776)
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800 val loss 7.3040
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800 val perplexity 1486.2216
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800 train 7.270497 (lr=2.9912e-05) (hash(x)=144483776)
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900 val loss 7.2365
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900 val perplexity 1389.2202
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900 train 7.342116 (lr=3.4818e-05) (hash(x)=157916369)
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900 val loss 7.2214
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900 val perplexity 1368.4169
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900 train 7.322839 (lr=2.9844e-05) (hash(x)=157916369)
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1000 val loss 7.1684
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1000 val perplexity 1297.7793
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1000 train 7.195076 (lr=3.4715e-05) (hash(x)=154856891)
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1000 val loss 7.1551
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1000 val perplexity 1280.6429
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1000 train 7.181716 (lr=2.9756e-05) (hash(x)=154856891)
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1100 val loss 7.1025
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1100 val perplexity 1215.0176
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1100 train 6.832980 (lr=3.4591e-05) (hash(x)=136191502)
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1100 val loss 7.0845
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1100 val perplexity 1193.2688
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1100 train 6.817375 (lr=2.9649e-05) (hash(x)=136191502)
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1200 val loss 7.0249
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1200 val perplexity 1124.2922
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1200 val loss 7.0108
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1200 val perplexity 1108.5863
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1300 val loss 6.9649
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1500 val loss 6.8527
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1500 val perplexity 946.4700
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1600 val loss 6.7911
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1600 val perplexity 889.9340
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1600 val loss 6.7634
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1600 val perplexity 865.6116
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1700 val loss 6.7391
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