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attention_kindselective_n_heads4_seed1343/args.json
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{"hellaswag": true, "attention_kind": "selective", "log_dir": "wider_is_better_9/attention_kindselective_n_heads4_seed1343", "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": 1343, "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_seed1343", "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": 1343, "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_1343", "n_embd": 256}
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attention_kindselective_n_heads4_seed1343/log2.txt
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max_steps: 17500
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|
|
|
| 1 |
max_steps: 17500
|
| 2 |
0 val loss 11.3001
|
| 3 |
+
0 val perplexity 80829.3594
|
| 4 |
+
0 train 11.304919 (lr=1.5000e-07) (hash(x)=153418542)
|
| 5 |
+
100 val loss 9.8883
|
| 6 |
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100 val perplexity 19698.2617
|
| 7 |
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100 train 9.855974 (lr=1.5150e-05) (hash(x)=154406429)
|
| 8 |
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200 val loss 8.7906
|
| 9 |
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200 val perplexity 6572.4741
|
| 10 |
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200 train 8.700301 (lr=3.0000e-05) (hash(x)=143722001)
|
| 11 |
+
300 val loss 7.9352
|
| 12 |
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300 val perplexity 2793.9514
|
| 13 |
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300 train 7.877781 (lr=2.9998e-05) (hash(x)=152421341)
|
| 14 |
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400 val loss 7.6556
|
| 15 |
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400 val perplexity 2112.4343
|
| 16 |
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400 train 7.560735 (lr=2.9991e-05) (hash(x)=152989689)
|
| 17 |
+
500 val loss 7.5524
|
| 18 |
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500 val perplexity 1905.2402
|
| 19 |
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500 train 7.480812 (lr=2.9980e-05) (hash(x)=145113544)
|
| 20 |
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600 val loss 7.4805
|
| 21 |
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600 val perplexity 1773.1368
|
| 22 |
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600 train 7.474395 (lr=2.9964e-05) (hash(x)=150071018)
|
| 23 |
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700 val loss 7.4305
|
| 24 |
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700 val perplexity 1686.5872
|
| 25 |
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700 train 7.521656 (lr=2.9944e-05) (hash(x)=156594182)
|
| 26 |
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800 val loss 7.4027
|
| 27 |
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800 val perplexity 1640.3590
|
| 28 |
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800 train 7.404630 (lr=2.9920e-05) (hash(x)=153358238)
|
| 29 |
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900 val loss 7.3667
|
| 30 |
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900 val perplexity 1582.4790
|
| 31 |
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900 train 7.198230 (lr=2.9891e-05) (hash(x)=146617394)
|
| 32 |
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1000 val loss 7.3379
|
| 33 |
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1000 val perplexity 1537.5419
|
| 34 |
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1000 train 7.275929 (lr=2.9858e-05) (hash(x)=148983354)
|
| 35 |
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1100 val loss 7.3000
|
| 36 |
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1100 val perplexity 1480.3101
|
| 37 |
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1100 train 7.329852 (lr=2.9820e-05) (hash(x)=146313352)
|
| 38 |
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1200 val loss 7.2790
|
| 39 |
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1200 val perplexity 1449.5948
|
| 40 |
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1200 train 7.231915 (lr=2.9778e-05) (hash(x)=150770333)
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| 41 |
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1300 val loss 7.2209
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| 42 |
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1300 val perplexity 1367.7261
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| 43 |
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1300 train 7.161463 (lr=2.9732e-05) (hash(x)=153237933)
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| 44 |
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1400 val loss 7.1820
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| 45 |
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1400 val perplexity 1315.4723
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| 46 |
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1400 train 7.019403 (lr=2.9681e-05) (hash(x)=145246201)
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| 47 |
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1500 val loss 7.1543
|
| 48 |
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1500 val perplexity 1279.5875
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| 49 |
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1500 train 7.149806 (lr=2.9626e-05) (hash(x)=154002540)
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| 50 |
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1600 val loss 7.1365
|
| 51 |
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1600 val perplexity 1256.9694
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| 52 |
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1600 train 6.916010 (lr=2.9566e-05) (hash(x)=142635842)
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| 53 |
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1700 val loss 7.1051
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| 54 |
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1700 val perplexity 1218.1798
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| 55 |
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1700 train 7.146691 (lr=2.9502e-05) (hash(x)=151450555)
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| 56 |
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1800 val loss 7.0845
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| 57 |
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1800 val perplexity 1193.2864
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| 58 |
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1800 train 6.996157 (lr=2.9434e-05) (hash(x)=148299832)
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| 59 |
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1900 val loss 7.0558
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| 60 |
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1900 val perplexity 1159.5553
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| 61 |
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1900 train 7.217354 (lr=2.9362e-05) (hash(x)=155487476)
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| 62 |
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2000 val loss 7.0480
|
| 63 |
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2000 val perplexity 1150.5250
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| 64 |
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2000 train 7.025408 (lr=2.9285e-05) (hash(x)=152887721)
|
| 65 |
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2100 val loss 7.0169
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| 66 |
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2100 val perplexity 1115.2950
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| 67 |
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2100 train 6.724870 (lr=2.9204e-05) (hash(x)=143430603)
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| 68 |
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2200 val loss 7.0010
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| 69 |
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2200 val perplexity 1097.7700
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| 70 |
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2300 val loss 6.9800
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| 72 |
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2300 val perplexity 1074.9148
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2400 val loss 6.9560
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| 75 |
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2400 val perplexity 1049.4778
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2400 train 6.998848 (lr=2.8937e-05) (hash(x)=153047184)
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| 77 |
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2500 val loss 6.9328
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| 78 |
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2500 val perplexity 1025.3099
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2600 val loss 6.9113
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2600 val perplexity 1003.5928
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2800 val loss 6.8791
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2800 train 6.721686 (lr=2.8523e-05) (hash(x)=151991552)
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| 92 |
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3000 val loss 6.8465
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16800 val loss 5.8986
|
| 507 |
+
16800 val perplexity 364.5212
|
| 508 |
+
16800 train 5.857209 (lr=3.1089e-06) (hash(x)=153037972)
|
| 509 |
+
16900 val loss 5.8978
|
| 510 |
+
16900 val perplexity 364.2220
|
| 511 |
+
16900 train 5.685570 (lr=3.0801e-06) (hash(x)=150691367)
|
| 512 |
+
17000 val loss 5.8971
|
| 513 |
+
17000 val perplexity 363.9819
|
| 514 |
+
17000 train 5.644271 (lr=3.0556e-06) (hash(x)=148975206)
|
| 515 |
+
17100 val loss 5.8978
|
| 516 |
+
17100 val perplexity 364.2212
|
| 517 |
+
17100 train 5.614702 (lr=3.0356e-06) (hash(x)=142026221)
|
| 518 |
+
17200 val loss 5.8946
|
| 519 |
+
17200 val perplexity 363.0641
|
| 520 |
+
17200 train 5.936298 (lr=3.0200e-06) (hash(x)=138211880)
|
| 521 |
+
17300 val loss 5.8919
|
| 522 |
+
17300 val perplexity 362.0752
|
| 523 |
+
17300 train 5.743488 (lr=3.0089e-06) (hash(x)=143366666)
|
| 524 |
+
17400 val loss 5.8922
|
| 525 |
+
17400 val perplexity 362.2161
|
| 526 |
+
17400 train 5.879615 (lr=3.0022e-06) (hash(x)=150791766)
|
| 527 |
+
17499 val loss 5.8915
|
| 528 |
+
17499 val perplexity 361.9645
|
attention_kindselective_n_heads4_seed1343/model_17499.pt
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CHANGED
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