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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": 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_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 |
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0 train 11.283560 (lr=1.3750e-07) (hash(x)=145830960)
|
| 5 |
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100 val loss 9.9832
|
| 6 |
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100 val perplexity 21659.9883
|
| 7 |
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100 train 10.001309 (lr=1.3888e-05) (hash(x)=156335112)
|
| 8 |
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200 val loss 9.2596
|
| 9 |
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200 val perplexity 10504.6865
|
| 10 |
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200 train 9.321742 (lr=2.7500e-05) (hash(x)=144157453)
|
| 11 |
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300 val loss 8.2356
|
| 12 |
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300 val perplexity 3772.9011
|
| 13 |
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300 train 8.243886 (lr=2.7498e-05) (hash(x)=149245414)
|
| 14 |
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400 val loss 7.7924
|
| 15 |
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400 val perplexity 2422.0842
|
| 16 |
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400 train 7.838326 (lr=2.7492e-05) (hash(x)=146764602)
|
| 17 |
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500 val loss 7.6107
|
| 18 |
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500 val perplexity 2019.6174
|
| 19 |
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500 train 7.567578 (lr=2.7482e-05) (hash(x)=152540261)
|
| 20 |
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600 val loss 7.5276
|
| 21 |
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600 val perplexity 1858.6896
|
| 22 |
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600 train 7.308209 (lr=2.7467e-05) (hash(x)=140559124)
|
| 23 |
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700 val loss 7.4688
|
| 24 |
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700 val perplexity 1752.4941
|
| 25 |
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700 train 7.520562 (lr=2.7449e-05) (hash(x)=156003556)
|
| 26 |
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800 val loss 7.4240
|
| 27 |
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800 val perplexity 1675.7202
|
| 28 |
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800 train 7.942647 (lr=2.7427e-05) (hash(x)=166024176)
|
| 29 |
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900 val loss 7.3916
|
| 30 |
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900 val perplexity 1622.2867
|
| 31 |
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900 train 7.435807 (lr=2.7400e-05) (hash(x)=156196976)
|
| 32 |
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1000 val loss 7.3601
|
| 33 |
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1000 val perplexity 1571.9177
|
| 34 |
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1000 train 7.434725 (lr=2.7370e-05) (hash(x)=161040668)
|
| 35 |
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1100 val loss 7.3324
|
| 36 |
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1100 val perplexity 1529.0920
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| 37 |
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1100 train 7.411966 (lr=2.7335e-05) (hash(x)=175899671)
|
| 38 |
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1200 val loss 7.3054
|
| 39 |
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1200 val perplexity 1488.2810
|
| 40 |
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1200 train 7.321064 (lr=2.7297e-05) (hash(x)=148878990)
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| 41 |
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1300 val loss 7.2732
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| 42 |
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1300 val perplexity 1441.1879
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1300 train 7.264565 (lr=2.7254e-05) (hash(x)=147253797)
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| 44 |
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1400 val loss 7.2508
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| 45 |
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1400 val perplexity 1409.1924
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| 46 |
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1400 train 7.270267 (lr=2.7207e-05) (hash(x)=150420695)
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| 47 |
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1500 val loss 7.2080
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| 48 |
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1500 val perplexity 1350.1888
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| 49 |
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1500 train 7.153911 (lr=2.7157e-05) (hash(x)=146933283)
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| 50 |
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1600 val loss 7.1696
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| 51 |
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1600 val perplexity 1299.3105
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| 52 |
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1600 train 7.137910 (lr=2.7102e-05) (hash(x)=151995229)
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| 53 |
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1700 val loss 7.1428
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| 54 |
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1700 val perplexity 1265.0243
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| 55 |
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1700 train 7.378381 (lr=2.7044e-05) (hash(x)=154468626)
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| 56 |
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1800 val loss 7.1122
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| 57 |
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1800 val perplexity 1226.8884
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1800 train 6.814721 (lr=2.6981e-05) (hash(x)=139853932)
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| 59 |
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1900 val loss 7.0736
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1900 val perplexity 1180.3677
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1900 train 6.873425 (lr=2.6915e-05) (hash(x)=142492588)
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| 62 |
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2000 val loss 7.0344
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| 63 |
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2000 val perplexity 1135.0413
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| 64 |
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2000 train 7.389661 (lr=2.6845e-05) (hash(x)=174104207)
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| 65 |
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2100 val loss 7.0015
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| 66 |
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2100 val perplexity 1098.2297
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| 67 |
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2100 train 6.985461 (lr=2.6771e-05) (hash(x)=151046997)
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2200 val loss 6.9589
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2200 val perplexity 1052.4565
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2200 train 6.823278 (lr=2.6693e-05) (hash(x)=146275038)
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2300 val loss 6.9287
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2300 val perplexity 1021.2055
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2400 val loss 6.8994
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2400 val perplexity 991.6996
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2400 train 6.756907 (lr=2.6525e-05) (hash(x)=141403655)
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2500 val loss 6.8715
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2500 val perplexity 964.3752
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3000 val loss 6.7228
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3000 val perplexity 831.1171
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+
16500 val perplexity 305.0458
|
| 499 |
+
16500 train 5.751915 (lr=2.9535e-06) (hash(x)=151585550)
|
| 500 |
+
16600 val loss 5.7193
|
| 501 |
+
16600 val perplexity 304.7025
|
| 502 |
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16600 train 5.882590 (lr=2.9149e-06) (hash(x)=164389325)
|
| 503 |
+
16700 val loss 5.7181
|
| 504 |
+
16700 val perplexity 304.3339
|
| 505 |
+
16700 train 5.623256 (lr=2.8804e-06) (hash(x)=146016298)
|
| 506 |
+
16800 val loss 5.7181
|
| 507 |
+
16800 val perplexity 304.3256
|
| 508 |
+
16800 train 5.625247 (lr=2.8498e-06) (hash(x)=147668192)
|
| 509 |
+
16900 val loss 5.7173
|
| 510 |
+
16900 val perplexity 304.0757
|
| 511 |
+
16900 train 5.694380 (lr=2.8234e-06) (hash(x)=155692530)
|
| 512 |
+
17000 val loss 5.7186
|
| 513 |
+
17000 val perplexity 304.4734
|
| 514 |
+
17000 train 5.640749 (lr=2.8010e-06) (hash(x)=156598351)
|
| 515 |
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17100 val loss 5.7186
|
| 516 |
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17100 val perplexity 304.4753
|
| 517 |
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17100 train 5.630686 (lr=2.7826e-06) (hash(x)=157344236)
|
| 518 |
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17200 val loss 5.7154
|
| 519 |
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17200 val perplexity 303.5097
|
| 520 |
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17200 train 5.522198 (lr=2.7684e-06) (hash(x)=126288656)
|
| 521 |
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17300 val loss 5.7130
|
| 522 |
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17300 val perplexity 302.7687
|
| 523 |
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17300 train 5.754097 (lr=2.7582e-06) (hash(x)=146365959)
|
| 524 |
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17400 val loss 5.7112
|
| 525 |
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17400 val perplexity 302.2420
|
| 526 |
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17400 train 5.698453 (lr=2.7520e-06) (hash(x)=152729388)
|
| 527 |
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17499 val loss 5.7100
|
| 528 |
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17499 val perplexity 301.8719
|
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