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[2026-03-11 05:07:55 LinearSpectre] (3482669699.py 65): INFO LinearSpectre( |
(patch_embed): V2PatchEmbed( |
(proj): Sequential( |
(0): Conv2d(3, 192, kernel_size=(16, 16), stride=(16, 16)) |
(1): LayerNorm2d((192,), eps=1e-05, elementwise_affine=True) |
(2): SiLU() |
) |
) |
(pos_drop): Dropout(p=0.0, inplace=False) |
(head): Linear(in_features=192, out_features=102, bias=True) |
(blocks1): ModuleList( |
(0-5): 6 x SPECTREBlock( |
(ln1): LayerNorm((192,), eps=1e-05, elementwise_affine=True) |
(spectre): SPECTRELayer( |
(q_proj): Linear(in_features=192, out_features=192, bias=False) |
(v_proj): Linear(in_features=192, out_features=192, bias=False) |
(out_proj): Linear(in_features=192, out_features=192, bias=False) |
(gate_mlp): Sequential( |
(0): LayerNorm((32,), eps=1e-05, elementwise_affine=True) |
(1): Linear(in_features=32, out_features=128, bias=True) |
(2): GELU(approximate='none') |
(3): Linear(in_features=128, out_features=198, bias=True) |
) |
) |
(ln2): LayerNorm((192,), eps=1e-05, elementwise_affine=True) |
(lnPE): LayerNorm((192,), eps=1e-05, elementwise_affine=True) |
(ffn): Sequential( |
(0): Linear(in_features=192, out_features=768, bias=True) |
(1): GELU(approximate='none') |
(2): Linear(in_features=768, out_features=192, bias=True) |
) |
) |
) |
(blocks): ModuleList( |
(0-5): 6 x GLABlock( |
(drop_path): DropPath(drop_prob=0.200) |
(attn_norm): RMSNorm() |
(lnPE): LayerNorm((192,), eps=1e-05, elementwise_affine=True) |
(attn): GatedLinearAttention( |
(gate_fn): SiLU() |
(out_act): SiLU() |
(in_proj): Sequential( |
(0): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) |
(1): SiLU() |
) |
(qkv_proj): Linear(in_features=192, out_features=384, bias=False) |
(gk_proj): Sequential( |
(0): Linear(in_features=192, out_features=16, bias=False) |
(1): Linear(in_features=16, out_features=192, bias=True) |
) |
(o_proj): Linear(in_features=192, out_features=192, bias=False) |
(g_norm): RMSNorm() |
(l_norm): RMSNorm() |
(g_proj): Linear(in_features=192, out_features=192, bias=True) |
(rotary): RotaryEmbeddingFast2D() |
) |
(mlp_norm): RMSNorm() |
(mlp): GLAMLP( |
(gate_proj): Linear(in_features=192, out_features=1024, bias=False) |
(down_proj): Linear(in_features=512, out_features=192, bias=False) |
(act_fn): SiLU() |
) |
) |
) |
(norm): RMSNorm() |
(normPE): LayerNorm((192,), eps=1e-05, elementwise_affine=True) |
(gap): AdaptiveAvgPool2d(output_size=(1, 1)) |
) |
[2026-03-11 05:07:55 LinearSpectre] (3482669699.py 69): INFO Trainable parameters: 5551038 |
[2026-03-11 05:07:55 LinearSpectre] (920838639.py 22): INFO No checkpoint found, starting from scratch. |
[2026-03-11 05:08:21 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [1/300] Train Time: 21.67s | Val Time: 3.65s |
Train Acc: @1:0.31% @5:3.44% | Loss: 4.3648 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6463 |
[2026-03-11 05:08:29 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [2/300] Train Time: 5.41s | Val Time: 3.07s |
Train Acc: @1:0.31% @5:2.50% | Loss: 4.3693 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6463 |
[2026-03-11 05:08:38 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [3/300] Train Time: 5.53s | Val Time: 3.06s |
Train Acc: @1:0.83% @5:5.21% | Loss: 4.3609 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6463 |
[2026-03-11 05:08:47 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [4/300] Train Time: 5.66s | Val Time: 3.17s |
Train Acc: @1:1.77% @5:5.52% | Loss: 4.3532 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6463 |
[2026-03-11 05:08:56 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [5/300] Train Time: 5.58s | Val Time: 3.13s |
Train Acc: @1:1.88% @5:7.29% | Loss: 4.3310 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6462 |
[2026-03-11 05:09:22 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [6/300] Train Time: 5.40s | Val Time: 3.08s |
Train Acc: @1:2.19% @5:9.27% | Loss: 4.3150 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6461 |
[2026-03-11 05:09:31 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [7/300] Train Time: 5.44s | Val Time: 3.02s |
Train Acc: @1:2.81% @5:12.29% | Loss: 4.2947 |
Val Acc: @1:0.00% @5:3.82% | Loss: 4.6460 |
[2026-03-11 05:09:40 LinearSpectre] (70562186.py 104): INFO |
ViG Epoch [8/300] Train Time: 5.37s | Val Time: 2.95s |
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