| [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 |
| Train Acc: @1:3.23% @5:12.08% | Loss: 4.2774 |
| Val Acc: @1:0.00% @5:3.82% | Loss: 4.6459 |
| [2026-03-11 05:09:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [9/300] Train Time: 5.57s | Val Time: 2.98s |
| Train Acc: @1:3.02% @5:11.98% | Loss: 4.2501 |
| Val Acc: @1:0.00% @5:3.82% | Loss: 4.6458 |
| [2026-03-11 05:09:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [10/300] Train Time: 5.46s | Val Time: 2.99s |
| Train Acc: @1:3.02% @5:14.90% | Loss: 4.1832 |
| Val Acc: @1:0.00% @5:3.82% | Loss: 4.6456 |
| [2026-03-11 05:10:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [11/300] Train Time: 5.40s | Val Time: 2.96s |
| Train Acc: @1:4.38% @5:16.88% | Loss: 4.0976 |
| Val Acc: @1:0.00% @5:3.82% | Loss: 4.6455 |
| [2026-03-11 05:10:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [12/300] Train Time: 5.47s | Val Time: 3.00s |
| Train Acc: @1:5.00% @5:19.79% | Loss: 4.0330 |
| Val Acc: @1:0.00% @5:3.82% | Loss: 4.6453 |
| [2026-03-11 05:10:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [13/300] Train Time: 5.61s | Val Time: 2.99s |
| Train Acc: @1:5.10% @5:21.67% | Loss: 3.9704 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6452 |
| [2026-03-11 05:10:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 13, accuracy: 0.10% |
| [2026-03-11 05:10:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [14/300] Train Time: 5.56s | Val Time: 2.94s |
| Train Acc: @1:5.42% @5:23.12% | Loss: 3.9628 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6450 |
| [2026-03-11 05:11:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [15/300] Train Time: 5.55s | Val Time: 3.02s |
| Train Acc: @1:7.60% @5:25.31% | Loss: 3.9249 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6448 |
| [2026-03-11 05:11:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [16/300] Train Time: 5.62s | Val Time: 3.07s |
| Train Acc: @1:7.92% @5:26.15% | Loss: 3.8880 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6446 |
| [2026-03-11 05:11:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [17/300] Train Time: 5.56s | Val Time: 3.01s |
| Train Acc: @1:7.60% @5:27.19% | Loss: 3.8275 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6445 |
| [2026-03-11 05:11:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [18/300] Train Time: 5.62s | Val Time: 3.02s |
| Train Acc: @1:7.60% @5:29.06% | Loss: 3.8029 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6443 |
| [2026-03-11 05:11:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [19/300] Train Time: 5.54s | Val Time: 2.97s |
| Train Acc: @1:10.42% @5:30.94% | Loss: 3.7748 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6441 |
| [2026-03-11 05:12:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [20/300] Train Time: 6.17s | Val Time: 3.11s |
| Train Acc: @1:8.33% @5:29.17% | Loss: 3.7773 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6439 |
| [2026-03-11 05:12:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [21/300] Train Time: 5.65s | Val Time: 3.08s |
| Train Acc: @1:8.12% @5:27.71% | Loss: 3.8042 |
| Val Acc: @1:0.10% @5:3.82% | Loss: 4.6436 |
| [2026-03-11 05:12:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [22/300] Train Time: 5.42s | Val Time: 3.19s |
| Train Acc: @1:9.06% @5:30.62% | Loss: 3.7447 |
| Val Acc: @1:0.10% @5:3.92% | Loss: 4.6434 |
| [2026-03-11 05:12:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [23/300] Train Time: 5.59s | Val Time: 3.14s |
| Train Acc: @1:9.58% @5:31.67% | Loss: 3.7645 |
| Val Acc: @1:0.10% @5:3.92% | Loss: 4.6432 |
| [2026-03-11 05:12:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [24/300] Train Time: 5.41s | Val Time: 3.09s |
| Train Acc: @1:11.04% @5:34.06% | Loss: 3.6675 |
| Val Acc: @1:0.10% @5:3.92% | Loss: 4.6430 |
| [2026-03-11 05:12:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [25/300] Train Time: 5.45s | Val Time: 2.98s |
| Train Acc: @1:9.90% @5:34.69% | Loss: 3.6488 |
| Val Acc: @1:0.10% @5:4.02% | Loss: 4.6427 |
| [2026-03-11 05:13:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [26/300] Train Time: 5.47s | Val Time: 3.10s |
| Train Acc: @1:10.00% @5:35.10% | Loss: 3.6369 |
| Val Acc: @1:0.10% @5:4.02% | Loss: 4.6425 |
| [2026-03-11 05:13:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [27/300] Train Time: 5.52s | Val Time: 3.06s |
| Train Acc: @1:10.94% @5:35.31% | Loss: 3.6260 |
| Val Acc: @1:0.10% @5:4.02% | Loss: 4.6422 |
| [2026-03-11 05:13:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [28/300] Train Time: 5.65s | Val Time: 3.03s |
| Train Acc: @1:10.00% @5:34.69% | Loss: 3.6439 |
| Val Acc: @1:0.10% @5:4.12% | Loss: 4.6420 |
| [2026-03-11 05:13:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [29/300] Train Time: 5.60s | Val Time: 3.08s |
| Train Acc: @1:10.52% @5:35.21% | Loss: 3.6324 |
| Val Acc: @1:0.10% @5:4.12% | Loss: 4.6417 |
| [2026-03-11 05:13:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [30/300] Train Time: 5.69s | Val Time: 3.16s |
| Train Acc: @1:12.19% @5:36.67% | Loss: 3.5963 |
| Val Acc: @1:0.10% @5:4.12% | Loss: 4.6414 |
| [2026-03-11 05:14:17 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [31/300] Train Time: 5.48s | Val Time: 3.00s |
| Train Acc: @1:11.77% @5:38.75% | Loss: 3.5528 |
| Val Acc: @1:0.10% @5:4.22% | Loss: 4.6411 |
| [2026-03-11 05:14:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [32/300] Train Time: 5.59s | Val Time: 3.04s |
| Train Acc: @1:13.96% @5:37.92% | Loss: 3.5293 |
| Val Acc: @1:0.20% @5:4.22% | Loss: 4.6409 |
| [2026-03-11 05:14:27 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 32, accuracy: 0.20% |
| [2026-03-11 05:14:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [33/300] Train Time: 5.51s | Val Time: 3.04s |
| Train Acc: @1:14.48% @5:40.73% | Loss: 3.4864 |
| Val Acc: @1:0.20% @5:4.22% | Loss: 4.6406 |
| [2026-03-11 05:14:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [34/300] Train Time: 5.50s | Val Time: 3.03s |
| Train Acc: @1:12.08% @5:39.27% | Loss: 3.5161 |
| Val Acc: @1:0.20% @5:4.22% | Loss: 4.6403 |
| [2026-03-11 05:15:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [35/300] Train Time: 5.44s | Val Time: 3.00s |
| Train Acc: @1:16.46% @5:45.42% | Loss: 3.4242 |
| Val Acc: @1:0.29% @5:4.31% | Loss: 4.6400 |
| [2026-03-11 05:15:16 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 35, accuracy: 0.29% |
| [2026-03-11 05:15:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [36/300] Train Time: 5.47s | Val Time: 2.99s |
| Train Acc: @1:16.25% @5:41.77% | Loss: 3.4415 |
| Val Acc: @1:0.39% @5:4.41% | Loss: 4.6397 |
| [2026-03-11 05:15:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 36, accuracy: 0.39% |
| [2026-03-11 05:15:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [37/300] Train Time: 5.54s | Val Time: 3.04s |
| Train Acc: @1:14.69% @5:43.33% | Loss: 3.4301 |
| Val Acc: @1:0.39% @5:4.41% | Loss: 4.6394 |
| [2026-03-11 05:16:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [38/300] Train Time: 5.46s | Val Time: 3.01s |
| Train Acc: @1:12.92% @5:41.77% | Loss: 3.4443 |
| Val Acc: @1:0.39% @5:4.51% | Loss: 4.6390 |
| [2026-03-11 05:16:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [39/300] Train Time: 5.45s | Val Time: 3.01s |
| Train Acc: @1:17.08% @5:42.81% | Loss: 3.4266 |
| Val Acc: @1:0.39% @5:4.51% | Loss: 4.6387 |
| [2026-03-11 05:16:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [40/300] Train Time: 5.35s | Val Time: 3.07s |
| Train Acc: @1:16.77% @5:45.00% | Loss: 3.3684 |
| Val Acc: @1:0.39% @5:4.71% | Loss: 4.6384 |
| [2026-03-11 05:16:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [41/300] Train Time: 5.43s | Val Time: 3.07s |
| Train Acc: @1:18.54% @5:45.31% | Loss: 3.3618 |
| Val Acc: @1:0.39% @5:4.71% | Loss: 4.6381 |
| [2026-03-11 05:16:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [42/300] Train Time: 5.49s | Val Time: 3.11s |
| Train Acc: @1:16.56% @5:46.04% | Loss: 3.3722 |
| Val Acc: @1:0.39% @5:4.71% | Loss: 4.6378 |
| [2026-03-11 05:16:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [43/300] Train Time: 5.42s | Val Time: 3.03s |
| Train Acc: @1:19.38% @5:46.67% | Loss: 3.3122 |
| Val Acc: @1:0.49% @5:4.61% | Loss: 4.6374 |
| [2026-03-11 05:17:00 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 43, accuracy: 0.49% |
| [2026-03-11 05:17:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [44/300] Train Time: 5.47s | Val Time: 2.99s |
| Train Acc: @1:16.04% @5:47.29% | Loss: 3.3488 |
| Val Acc: @1:0.49% @5:4.71% | Loss: 4.6371 |
| [2026-03-11 05:17:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [45/300] Train Time: 5.50s | Val Time: 3.19s |
| Train Acc: @1:18.65% @5:48.33% | Loss: 3.2961 |
| Val Acc: @1:0.49% @5:4.71% | Loss: 4.6367 |
| [2026-03-11 05:17:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [46/300] Train Time: 5.48s | Val Time: 3.05s |
| Train Acc: @1:18.33% @5:49.58% | Loss: 3.2484 |
| Val Acc: @1:0.49% @5:4.80% | Loss: 4.6364 |
| [2026-03-11 05:17:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [47/300] Train Time: 5.53s | Val Time: 3.09s |
| Train Acc: @1:18.85% @5:49.38% | Loss: 3.2731 |
| Val Acc: @1:0.49% @5:5.10% | Loss: 4.6361 |
| [2026-03-11 05:18:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [48/300] Train Time: 5.45s | Val Time: 3.08s |
| Train Acc: @1:19.79% @5:49.69% | Loss: 3.2350 |
| Val Acc: @1:0.49% @5:5.20% | Loss: 4.6357 |
| [2026-03-11 05:18:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [49/300] Train Time: 5.44s | Val Time: 3.03s |
| Train Acc: @1:20.00% @5:48.44% | Loss: 3.2544 |
| Val Acc: @1:0.49% @5:5.20% | Loss: 4.6354 |
| [2026-03-11 05:18:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [50/300] Train Time: 5.43s | Val Time: 3.15s |
| Train Acc: @1:20.31% @5:48.75% | Loss: 3.2175 |
| Val Acc: @1:0.49% @5:5.20% | Loss: 4.6350 |
| [2026-03-11 05:18:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [51/300] Train Time: 5.45s | Val Time: 3.10s |
| Train Acc: @1:21.56% @5:49.69% | Loss: 3.2194 |
| Val Acc: @1:0.49% @5:5.29% | Loss: 4.6347 |
| [2026-03-11 05:18:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [52/300] Train Time: 5.52s | Val Time: 3.01s |
| Train Acc: @1:22.19% @5:54.17% | Loss: 3.1563 |
| Val Acc: @1:0.59% @5:5.29% | Loss: 4.6343 |
| [2026-03-11 05:18:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 52, accuracy: 0.59% |
| [2026-03-11 05:19:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [53/300] Train Time: 5.39s | Val Time: 3.11s |
| Train Acc: @1:20.73% @5:51.35% | Loss: 3.2034 |
| Val Acc: @1:0.59% @5:5.39% | Loss: 4.6340 |
| [2026-03-11 05:19:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [54/300] Train Time: 5.42s | Val Time: 3.05s |
| Train Acc: @1:19.17% @5:51.15% | Loss: 3.2440 |
| Val Acc: @1:0.59% @5:5.39% | Loss: 4.6336 |
| [2026-03-11 05:19:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [55/300] Train Time: 5.37s | Val Time: 3.00s |
| Train Acc: @1:21.46% @5:54.58% | Loss: 3.1389 |
| Val Acc: @1:0.59% @5:5.39% | Loss: 4.6333 |
| [2026-03-11 05:19:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [56/300] Train Time: 5.35s | Val Time: 3.06s |
| Train Acc: @1:21.67% @5:54.90% | Loss: 3.1534 |
| Val Acc: @1:0.59% @5:5.49% | Loss: 4.6329 |
| [2026-03-11 05:19:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [57/300] Train Time: 5.53s | Val Time: 2.98s |
| Train Acc: @1:20.52% @5:54.06% | Loss: 3.1491 |
| Val Acc: @1:0.69% @5:5.49% | Loss: 4.6325 |
| [2026-03-11 05:19:56 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 57, accuracy: 0.69% |
| [2026-03-11 05:20:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [58/300] Train Time: 5.42s | Val Time: 3.06s |
| Train Acc: @1:23.12% @5:57.71% | Loss: 3.0897 |
| Val Acc: @1:0.69% @5:5.59% | Loss: 4.6322 |
| [2026-03-11 05:20:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [59/300] Train Time: 5.46s | Val Time: 3.06s |
| Train Acc: @1:22.50% @5:55.94% | Loss: 3.1117 |
| Val Acc: @1:0.69% @5:5.78% | Loss: 4.6318 |
| [2026-03-11 05:20:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [60/300] Train Time: 5.34s | Val Time: 3.17s |
| Train Acc: @1:25.94% @5:57.40% | Loss: 3.0774 |
| Val Acc: @1:0.69% @5:5.88% | Loss: 4.6314 |
| [2026-03-11 05:20:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [61/300] Train Time: 5.42s | Val Time: 3.07s |
| Train Acc: @1:21.46% @5:54.48% | Loss: 3.1303 |
| Val Acc: @1:0.88% @5:6.08% | Loss: 4.6310 |
| [2026-03-11 05:20:53 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 61, accuracy: 0.88% |
| [2026-03-11 05:21:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [62/300] Train Time: 5.45s | Val Time: 3.15s |
| Train Acc: @1:23.33% @5:54.17% | Loss: 3.1095 |
| Val Acc: @1:0.98% @5:6.08% | Loss: 4.6306 |
| [2026-03-11 05:21:13 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 62, accuracy: 0.98% |
| [2026-03-11 05:21:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [63/300] Train Time: 5.36s | Val Time: 3.03s |
| Train Acc: @1:23.75% @5:57.08% | Loss: 3.0780 |
| Val Acc: @1:0.98% @5:6.08% | Loss: 4.6303 |
| [2026-03-11 05:21:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [64/300] Train Time: 5.49s | Val Time: 3.05s |
| Train Acc: @1:27.40% @5:61.25% | Loss: 2.9556 |
| Val Acc: @1:0.98% @5:6.18% | Loss: 4.6299 |
| [2026-03-11 05:21:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [65/300] Train Time: 5.37s | Val Time: 3.01s |
| Train Acc: @1:25.10% @5:59.79% | Loss: 3.0087 |
| Val Acc: @1:0.98% @5:6.18% | Loss: 4.6295 |
| [2026-03-11 05:22:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [66/300] Train Time: 5.45s | Val Time: 2.98s |
| Train Acc: @1:24.90% @5:59.90% | Loss: 2.9976 |
| Val Acc: @1:0.98% @5:6.18% | Loss: 4.6291 |
| [2026-03-11 05:22:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [67/300] Train Time: 5.36s | Val Time: 3.00s |
| Train Acc: @1:26.04% @5:61.04% | Loss: 2.9632 |
| Val Acc: @1:1.08% @5:6.47% | Loss: 4.6287 |
| [2026-03-11 05:22:20 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 67, accuracy: 1.08% |
| [2026-03-11 05:22:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [68/300] Train Time: 5.47s | Val Time: 3.01s |
| Train Acc: @1:28.23% @5:59.79% | Loss: 2.9937 |
| Val Acc: @1:1.08% @5:6.47% | Loss: 4.6283 |
| [2026-03-11 05:22:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [69/300] Train Time: 5.47s | Val Time: 3.03s |
| Train Acc: @1:25.10% @5:57.92% | Loss: 3.0360 |
| Val Acc: @1:1.08% @5:6.57% | Loss: 4.6279 |
| [2026-03-11 05:22:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [70/300] Train Time: 5.47s | Val Time: 3.07s |
| Train Acc: @1:28.44% @5:61.77% | Loss: 2.9378 |
| Val Acc: @1:1.08% @5:6.67% | Loss: 4.6275 |
| [2026-03-11 05:23:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [71/300] Train Time: 5.39s | Val Time: 3.01s |
| Train Acc: @1:28.65% @5:63.54% | Loss: 2.9060 |
| Val Acc: @1:1.18% @5:6.67% | Loss: 4.6271 |
| [2026-03-11 05:23:18 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 71, accuracy: 1.18% |
| [2026-03-11 05:23:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [72/300] Train Time: 5.50s | Val Time: 3.24s |
| Train Acc: @1:29.38% @5:63.33% | Loss: 2.8960 |
| Val Acc: @1:1.18% @5:6.57% | Loss: 4.6267 |
| [2026-03-11 05:23:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [73/300] Train Time: 5.49s | Val Time: 3.00s |
| Train Acc: @1:28.33% @5:60.31% | Loss: 2.9370 |
| Val Acc: @1:1.18% @5:6.67% | Loss: 4.6263 |
| [2026-03-11 05:23:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [74/300] Train Time: 5.39s | Val Time: 3.02s |
| Train Acc: @1:29.79% @5:67.29% | Loss: 2.8330 |
| Val Acc: @1:1.18% @5:6.67% | Loss: 4.6259 |
| [2026-03-11 05:24:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [75/300] Train Time: 5.50s | Val Time: 3.05s |
| Train Acc: @1:30.62% @5:65.00% | Loss: 2.8132 |
| Val Acc: @1:1.27% @5:6.67% | Loss: 4.6255 |
| [2026-03-11 05:24:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 75, accuracy: 1.27% |
| [2026-03-11 05:24:35 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [76/300] Train Time: 5.57s | Val Time: 2.99s |
| Train Acc: @1:30.94% @5:64.48% | Loss: 2.8580 |
| Val Acc: @1:1.27% @5:6.67% | Loss: 4.6251 |
| [2026-03-11 05:24:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [77/300] Train Time: 5.49s | Val Time: 3.44s |
| Train Acc: @1:32.40% @5:65.00% | Loss: 2.8248 |
| Val Acc: @1:1.27% @5:6.67% | Loss: 4.6247 |
| [2026-03-11 05:24:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [78/300] Train Time: 5.61s | Val Time: 3.15s |
| Train Acc: @1:29.69% @5:64.69% | Loss: 2.8410 |
| Val Acc: @1:1.27% @5:6.67% | Loss: 4.6242 |
| [2026-03-11 05:25:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [79/300] Train Time: 5.61s | Val Time: 3.12s |
| Train Acc: @1:29.69% @5:64.79% | Loss: 2.8050 |
| Val Acc: @1:1.27% @5:6.76% | Loss: 4.6238 |
| [2026-03-11 05:25:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [80/300] Train Time: 5.51s | Val Time: 3.36s |
| Train Acc: @1:31.56% @5:67.08% | Loss: 2.7973 |
| Val Acc: @1:1.27% @5:6.76% | Loss: 4.6234 |
| [2026-03-11 05:25:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [81/300] Train Time: 5.48s | Val Time: 3.01s |
| Train Acc: @1:33.44% @5:68.96% | Loss: 2.7453 |
| Val Acc: @1:1.47% @5:6.86% | Loss: 4.6230 |
| [2026-03-11 05:25:31 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 81, accuracy: 1.47% |
| [2026-03-11 05:25:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [82/300] Train Time: 5.59s | Val Time: 3.12s |
| Train Acc: @1:32.71% @5:67.08% | Loss: 2.7612 |
| Val Acc: @1:1.57% @5:6.96% | Loss: 4.6225 |
| [2026-03-11 05:25:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 82, accuracy: 1.57% |
| [2026-03-11 05:26:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [83/300] Train Time: 5.43s | Val Time: 3.11s |
| Train Acc: @1:35.62% @5:72.50% | Loss: 2.6579 |
| Val Acc: @1:1.57% @5:6.96% | Loss: 4.6221 |
| [2026-03-11 05:26:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [84/300] Train Time: 5.42s | Val Time: 3.01s |
| Train Acc: @1:33.75% @5:71.04% | Loss: 2.6898 |
| Val Acc: @1:1.57% @5:6.86% | Loss: 4.6217 |
| [2026-03-11 05:26:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [85/300] Train Time: 5.48s | Val Time: 3.03s |
| Train Acc: @1:34.27% @5:67.92% | Loss: 2.7201 |
| Val Acc: @1:1.57% @5:6.86% | Loss: 4.6213 |
| [2026-03-11 05:26:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [86/300] Train Time: 5.63s | Val Time: 3.09s |
| Train Acc: @1:34.79% @5:69.90% | Loss: 2.6710 |
| Val Acc: @1:1.67% @5:6.96% | Loss: 4.6208 |
| [2026-03-11 05:26:48 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 86, accuracy: 1.67% |
| [2026-03-11 05:27:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [87/300] Train Time: 5.49s | Val Time: 2.98s |
| Train Acc: @1:34.38% @5:71.04% | Loss: 2.6827 |
| Val Acc: @1:1.67% @5:6.86% | Loss: 4.6204 |
| [2026-03-11 05:27:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [88/300] Train Time: 5.46s | Val Time: 3.00s |
| Train Acc: @1:33.65% @5:69.58% | Loss: 2.7057 |
| Val Acc: @1:1.67% @5:6.96% | Loss: 4.6200 |
| [2026-03-11 05:27:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [89/300] Train Time: 5.32s | Val Time: 3.04s |
| Train Acc: @1:38.02% @5:73.02% | Loss: 2.6138 |
| Val Acc: @1:1.57% @5:6.96% | Loss: 4.6195 |
| [2026-03-11 05:27:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [90/300] Train Time: 5.35s | Val Time: 3.07s |
| Train Acc: @1:36.04% @5:70.73% | Loss: 2.6335 |
| Val Acc: @1:1.67% @5:6.96% | Loss: 4.6191 |
| [2026-03-11 05:27:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [91/300] Train Time: 5.49s | Val Time: 3.05s |
| Train Acc: @1:37.60% @5:72.71% | Loss: 2.6092 |
| Val Acc: @1:1.67% @5:6.96% | Loss: 4.6187 |
| [2026-03-11 05:28:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [92/300] Train Time: 5.43s | Val Time: 3.13s |
| Train Acc: @1:39.79% @5:74.38% | Loss: 2.5576 |
| Val Acc: @1:1.67% @5:7.25% | Loss: 4.6182 |
| [2026-03-11 05:28:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [93/300] Train Time: 5.45s | Val Time: 3.11s |
| Train Acc: @1:38.02% @5:73.33% | Loss: 2.5709 |
| Val Acc: @1:1.67% @5:7.25% | Loss: 4.6178 |
| [2026-03-11 05:28:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [94/300] Train Time: 5.41s | Val Time: 3.02s |
| Train Acc: @1:38.96% @5:72.29% | Loss: 2.5902 |
| Val Acc: @1:1.67% @5:7.25% | Loss: 4.6173 |
| [2026-03-11 05:28:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [95/300] Train Time: 5.38s | Val Time: 3.04s |
| Train Acc: @1:39.48% @5:73.54% | Loss: 2.5657 |
| Val Acc: @1:1.76% @5:7.35% | Loss: 4.6169 |
| [2026-03-11 05:28:41 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 95, accuracy: 1.76% |
| [2026-03-11 05:29:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [96/300] Train Time: 6.02s | Val Time: 3.18s |
| Train Acc: @1:38.65% @5:73.65% | Loss: 2.5726 |
| Val Acc: @1:1.67% @5:7.45% | Loss: 4.6164 |
| [2026-03-11 05:29:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [97/300] Train Time: 5.41s | Val Time: 3.13s |
| Train Acc: @1:35.62% @5:72.40% | Loss: 2.5955 |
| Val Acc: @1:1.67% @5:7.45% | Loss: 4.6160 |
| [2026-03-11 05:29:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [98/300] Train Time: 5.40s | Val Time: 3.07s |
| Train Acc: @1:38.44% @5:76.25% | Loss: 2.5324 |
| Val Acc: @1:1.67% @5:7.55% | Loss: 4.6155 |
| [2026-03-11 05:29:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [99/300] Train Time: 5.56s | Val Time: 3.00s |
| Train Acc: @1:40.73% @5:75.83% | Loss: 2.4904 |
| Val Acc: @1:1.67% @5:7.55% | Loss: 4.6151 |
| [2026-03-11 05:29:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [100/300] Train Time: 5.43s | Val Time: 2.95s |
| Train Acc: @1:44.48% @5:75.42% | Loss: 2.4680 |
| Val Acc: @1:1.67% @5:7.65% | Loss: 4.6146 |
| [2026-03-11 05:29:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [101/300] Train Time: 5.52s | Val Time: 2.99s |
| Train Acc: @1:45.42% @5:80.00% | Loss: 2.3628 |
| Val Acc: @1:1.67% @5:7.65% | Loss: 4.6142 |
| [2026-03-11 05:30:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [102/300] Train Time: 5.52s | Val Time: 3.03s |
| Train Acc: @1:43.12% @5:77.92% | Loss: 2.3798 |
| Val Acc: @1:1.76% @5:7.65% | Loss: 4.6137 |
| [2026-03-11 05:30:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [103/300] Train Time: 5.48s | Val Time: 3.08s |
| Train Acc: @1:43.33% @5:77.19% | Loss: 2.4253 |
| Val Acc: @1:1.76% @5:7.75% | Loss: 4.6133 |
| [2026-03-11 05:30:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [104/300] Train Time: 5.41s | Val Time: 3.08s |
| Train Acc: @1:42.29% @5:74.90% | Loss: 2.4601 |
| Val Acc: @1:1.86% @5:7.75% | Loss: 4.6128 |
| [2026-03-11 05:30:24 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 104, accuracy: 1.86% |
| [2026-03-11 05:30:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [105/300] Train Time: 5.40s | Val Time: 3.07s |
| Train Acc: @1:44.27% @5:77.60% | Loss: 2.4022 |
| Val Acc: @1:1.86% @5:7.84% | Loss: 4.6123 |
| [2026-03-11 05:31:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [106/300] Train Time: 5.44s | Val Time: 3.05s |
| Train Acc: @1:46.88% @5:78.85% | Loss: 2.3193 |
| Val Acc: @1:1.96% @5:7.94% | Loss: 4.6119 |
| [2026-03-11 05:31:06 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 106, accuracy: 1.96% |
| [2026-03-11 05:31:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [107/300] Train Time: 5.42s | Val Time: 3.20s |
| Train Acc: @1:43.44% @5:76.56% | Loss: 2.4368 |
| Val Acc: @1:1.96% @5:8.04% | Loss: 4.6114 |
| [2026-03-11 05:31:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [108/300] Train Time: 5.45s | Val Time: 3.07s |
| Train Acc: @1:44.90% @5:78.33% | Loss: 2.3844 |
| Val Acc: @1:1.96% @5:8.14% | Loss: 4.6110 |
| [2026-03-11 05:31:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [109/300] Train Time: 5.40s | Val Time: 3.04s |
| Train Acc: @1:47.08% @5:79.38% | Loss: 2.3175 |
| Val Acc: @1:1.96% @5:8.14% | Loss: 4.6105 |
| [2026-03-11 05:31:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [110/300] Train Time: 5.43s | Val Time: 3.08s |
| Train Acc: @1:47.19% @5:81.46% | Loss: 2.2897 |
| Val Acc: @1:1.96% @5:8.14% | Loss: 4.6100 |
| [2026-03-11 05:32:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [111/300] Train Time: 5.55s | Val Time: 3.05s |
| Train Acc: @1:47.29% @5:79.17% | Loss: 2.3289 |
| Val Acc: @1:2.06% @5:8.14% | Loss: 4.6096 |
| [2026-03-11 05:32:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 111, accuracy: 2.06% |
| [2026-03-11 05:32:35 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [112/300] Train Time: 5.54s | Val Time: 2.95s |
| Train Acc: @1:50.83% @5:80.62% | Loss: 2.2707 |
| Val Acc: @1:2.06% @5:8.14% | Loss: 4.6091 |
| [2026-03-11 05:32:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [113/300] Train Time: 5.36s | Val Time: 3.02s |
| Train Acc: @1:48.65% @5:79.79% | Loss: 2.2773 |
| Val Acc: @1:2.16% @5:8.14% | Loss: 4.6086 |
| [2026-03-11 05:32:44 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 113, accuracy: 2.16% |
| [2026-03-11 05:33:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [114/300] Train Time: 5.37s | Val Time: 3.15s |
| Train Acc: @1:50.42% @5:80.73% | Loss: 2.2449 |
| Val Acc: @1:2.16% @5:8.04% | Loss: 4.6081 |
| [2026-03-11 05:33:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [115/300] Train Time: 5.47s | Val Time: 3.09s |
| Train Acc: @1:51.46% @5:80.21% | Loss: 2.2136 |
| Val Acc: @1:2.16% @5:8.04% | Loss: 4.6077 |
| [2026-03-11 05:33:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [116/300] Train Time: 5.40s | Val Time: 3.19s |
| Train Acc: @1:51.46% @5:80.62% | Loss: 2.2125 |
| Val Acc: @1:2.25% @5:7.94% | Loss: 4.6072 |
| [2026-03-11 05:33:33 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 116, accuracy: 2.25% |
| [2026-03-11 05:33:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [117/300] Train Time: 5.45s | Val Time: 3.11s |
| Train Acc: @1:51.77% @5:79.90% | Loss: 2.2424 |
| Val Acc: @1:2.25% @5:8.04% | Loss: 4.6067 |
| [2026-03-11 05:34:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [118/300] Train Time: 5.43s | Val Time: 3.16s |
| Train Acc: @1:50.42% @5:80.42% | Loss: 2.1891 |
| Val Acc: @1:2.25% @5:8.04% | Loss: 4.6062 |
| [2026-03-11 05:34:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [119/300] Train Time: 5.47s | Val Time: 3.07s |
| Train Acc: @1:51.88% @5:82.71% | Loss: 2.1800 |
| Val Acc: @1:2.35% @5:8.04% | Loss: 4.6057 |
| [2026-03-11 05:34:10 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 119, accuracy: 2.35% |
| [2026-03-11 05:34:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [120/300] Train Time: 5.41s | Val Time: 2.99s |
| Train Acc: @1:51.35% @5:80.62% | Loss: 2.2153 |
| Val Acc: @1:2.35% @5:8.14% | Loss: 4.6053 |
| [2026-03-11 05:34:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [121/300] Train Time: 5.57s | Val Time: 3.14s |
| Train Acc: @1:52.08% @5:81.04% | Loss: 2.1979 |
| Val Acc: @1:2.35% @5:8.14% | Loss: 4.6048 |
| [2026-03-11 05:34:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [122/300] Train Time: 5.57s | Val Time: 3.07s |
| Train Acc: @1:55.83% @5:83.75% | Loss: 2.0950 |
| Val Acc: @1:2.45% @5:8.14% | Loss: 4.6043 |
| [2026-03-11 05:34:59 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 122, accuracy: 2.45% |
| [2026-03-11 05:35:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [123/300] Train Time: 5.56s | Val Time: 3.12s |
| Train Acc: @1:54.90% @5:84.27% | Loss: 2.0924 |
| Val Acc: @1:2.45% @5:8.33% | Loss: 4.6038 |
| [2026-03-11 05:35:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [124/300] Train Time: 5.60s | Val Time: 3.04s |
| Train Acc: @1:53.54% @5:81.88% | Loss: 2.1475 |
| Val Acc: @1:2.55% @5:8.33% | Loss: 4.6033 |
| [2026-03-11 05:35:28 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 124, accuracy: 2.55% |
| [2026-03-11 05:35:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [125/300] Train Time: 5.53s | Val Time: 3.11s |
| Train Acc: @1:55.00% @5:83.96% | Loss: 2.0842 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.6028 |
| [2026-03-11 05:36:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [126/300] Train Time: 5.48s | Val Time: 2.99s |
| Train Acc: @1:56.67% @5:81.25% | Loss: 2.1469 |
| Val Acc: @1:2.45% @5:8.33% | Loss: 4.6023 |
| [2026-03-11 05:36:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [127/300] Train Time: 5.49s | Val Time: 3.04s |
| Train Acc: @1:51.98% @5:81.35% | Loss: 2.1577 |
| Val Acc: @1:2.45% @5:8.24% | Loss: 4.6018 |
| [2026-03-11 05:36:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [128/300] Train Time: 5.39s | Val Time: 3.09s |
| Train Acc: @1:52.29% @5:81.98% | Loss: 2.1500 |
| Val Acc: @1:2.45% @5:8.33% | Loss: 4.6013 |
| [2026-03-11 05:36:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [129/300] Train Time: 5.38s | Val Time: 3.10s |
| Train Acc: @1:56.15% @5:84.17% | Loss: 2.0718 |
| Val Acc: @1:2.45% @5:8.24% | Loss: 4.6008 |
| [2026-03-11 05:36:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [130/300] Train Time: 5.62s | Val Time: 3.13s |
| Train Acc: @1:58.33% @5:82.71% | Loss: 2.0592 |
| Val Acc: @1:2.45% @5:8.24% | Loss: 4.6003 |
| [2026-03-11 05:37:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [131/300] Train Time: 5.54s | Val Time: 3.10s |
| Train Acc: @1:60.83% @5:85.42% | Loss: 1.9879 |
| Val Acc: @1:2.45% @5:8.33% | Loss: 4.5999 |
| [2026-03-11 05:37:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [132/300] Train Time: 5.56s | Val Time: 3.08s |
| Train Acc: @1:58.02% @5:84.06% | Loss: 2.0536 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.5994 |
| [2026-03-11 05:37:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [133/300] Train Time: 5.53s | Val Time: 3.14s |
| Train Acc: @1:57.50% @5:82.60% | Loss: 2.0932 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.5989 |
| [2026-03-11 05:37:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [134/300] Train Time: 5.49s | Val Time: 3.03s |
| Train Acc: @1:56.46% @5:85.52% | Loss: 2.0064 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.5984 |
| [2026-03-11 05:37:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [135/300] Train Time: 5.54s | Val Time: 3.04s |
| Train Acc: @1:58.75% @5:83.33% | Loss: 2.0387 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.5979 |
| [2026-03-11 05:37:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [136/300] Train Time: 5.53s | Val Time: 2.99s |
| Train Acc: @1:58.85% @5:83.54% | Loss: 2.0097 |
| Val Acc: @1:2.45% @5:8.43% | Loss: 4.5974 |
| [2026-03-11 05:38:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [137/300] Train Time: 5.53s | Val Time: 3.05s |
| Train Acc: @1:56.25% @5:83.85% | Loss: 2.0431 |
| Val Acc: @1:2.45% @5:8.53% | Loss: 4.5969 |
| [2026-03-11 05:38:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [138/300] Train Time: 5.66s | Val Time: 3.12s |
| Train Acc: @1:58.12% @5:83.23% | Loss: 2.0272 |
| Val Acc: @1:2.45% @5:8.53% | Loss: 4.5964 |
| [2026-03-11 05:38:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [139/300] Train Time: 5.60s | Val Time: 3.08s |
| Train Acc: @1:58.96% @5:85.62% | Loss: 1.9432 |
| Val Acc: @1:2.45% @5:8.82% | Loss: 4.5959 |
| [2026-03-11 05:38:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [140/300] Train Time: 5.60s | Val Time: 3.16s |
| Train Acc: @1:60.21% @5:83.23% | Loss: 1.9747 |
| Val Acc: @1:2.45% @5:8.92% | Loss: 4.5954 |
| [2026-03-11 05:38:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [141/300] Train Time: 5.61s | Val Time: 3.09s |
| Train Acc: @1:62.29% @5:85.21% | Loss: 1.9172 |
| Val Acc: @1:2.45% @5:8.82% | Loss: 4.5948 |
| [2026-03-11 05:39:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [142/300] Train Time: 5.53s | Val Time: 3.17s |
| Train Acc: @1:62.19% @5:85.21% | Loss: 1.9238 |
| Val Acc: @1:2.45% @5:8.82% | Loss: 4.5943 |
| [2026-03-11 05:39:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [143/300] Train Time: 5.58s | Val Time: 3.30s |
| Train Acc: @1:60.73% @5:84.06% | Loss: 1.9605 |
| Val Acc: @1:2.45% @5:8.92% | Loss: 4.5938 |
| [2026-03-11 05:39:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [144/300] Train Time: 5.60s | Val Time: 3.02s |
| Train Acc: @1:62.19% @5:84.48% | Loss: 1.9433 |
| Val Acc: @1:2.55% @5:9.02% | Loss: 4.5933 |
| [2026-03-11 05:39:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [145/300] Train Time: 5.49s | Val Time: 3.02s |
| Train Acc: @1:59.48% @5:84.27% | Loss: 1.9692 |
| Val Acc: @1:2.55% @5:9.12% | Loss: 4.5928 |
| [2026-03-11 05:39:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [146/300] Train Time: 5.85s | Val Time: 3.17s |
| Train Acc: @1:62.29% @5:85.83% | Loss: 1.9178 |
| Val Acc: @1:2.45% @5:9.12% | Loss: 4.5923 |
| [2026-03-11 05:40:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [147/300] Train Time: 5.69s | Val Time: 3.20s |
| Train Acc: @1:63.44% @5:86.35% | Loss: 1.9049 |
| Val Acc: @1:2.55% @5:9.12% | Loss: 4.5918 |
| [2026-03-11 05:40:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [148/300] Train Time: 5.74s | Val Time: 3.30s |
| Train Acc: @1:66.35% @5:86.46% | Loss: 1.8524 |
| Val Acc: @1:2.55% @5:9.12% | Loss: 4.5913 |
| [2026-03-11 05:40:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [149/300] Train Time: 5.76s | Val Time: 3.26s |
| Train Acc: @1:64.27% @5:85.94% | Loss: 1.8856 |
| Val Acc: @1:2.55% @5:9.12% | Loss: 4.5908 |
| [2026-03-11 05:40:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [150/300] Train Time: 5.81s | Val Time: 3.22s |
| Train Acc: @1:64.27% @5:86.88% | Loss: 1.8628 |
| Val Acc: @1:2.55% @5:9.12% | Loss: 4.5902 |
| [2026-03-11 05:40:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [151/300] Train Time: 5.94s | Val Time: 3.33s |
| Train Acc: @1:62.71% @5:87.92% | Loss: 1.8395 |
| Val Acc: @1:2.65% @5:9.22% | Loss: 4.5897 |
| [2026-03-11 05:40:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 151, accuracy: 2.65% |
| [2026-03-11 05:41:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [152/300] Train Time: 5.91s | Val Time: 3.22s |
| Train Acc: @1:64.38% @5:85.52% | Loss: 1.8769 |
| Val Acc: @1:2.65% @5:9.22% | Loss: 4.5892 |
| [2026-03-11 05:41:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [153/300] Train Time: 5.70s | Val Time: 3.52s |
| Train Acc: @1:66.04% @5:85.42% | Loss: 1.8747 |
| Val Acc: @1:2.65% @5:9.41% | Loss: 4.5887 |
| [2026-03-11 05:41:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [154/300] Train Time: 5.72s | Val Time: 3.09s |
| Train Acc: @1:67.19% @5:88.75% | Loss: 1.7462 |
| Val Acc: @1:2.65% @5:9.41% | Loss: 4.5882 |
| [2026-03-11 05:41:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [155/300] Train Time: 5.57s | Val Time: 3.09s |
| Train Acc: @1:64.90% @5:88.65% | Loss: 1.8085 |
| Val Acc: @1:2.75% @5:9.41% | Loss: 4.5876 |
| [2026-03-11 05:41:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 155, accuracy: 2.75% |
| [2026-03-11 05:42:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [156/300] Train Time: 5.50s | Val Time: 3.02s |
| Train Acc: @1:70.52% @5:89.58% | Loss: 1.6902 |
| Val Acc: @1:2.94% @5:9.41% | Loss: 4.5871 |
| [2026-03-11 05:42:09 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 156, accuracy: 2.94% |
| [2026-03-11 05:42:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [157/300] Train Time: 5.73s | Val Time: 3.05s |
| Train Acc: @1:66.25% @5:86.15% | Loss: 1.8217 |
| Val Acc: @1:2.94% @5:9.41% | Loss: 4.5866 |
| [2026-03-11 05:42:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [158/300] Train Time: 5.59s | Val Time: 3.18s |
| Train Acc: @1:67.08% @5:88.23% | Loss: 1.7721 |
| Val Acc: @1:3.04% @5:9.51% | Loss: 4.5861 |
| [2026-03-11 05:42:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 158, accuracy: 3.04% |
| [2026-03-11 05:42:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [159/300] Train Time: 5.60s | Val Time: 3.12s |
| Train Acc: @1:69.79% @5:90.00% | Loss: 1.6871 |
| Val Acc: @1:3.04% @5:9.51% | Loss: 4.5856 |
| [2026-03-11 05:43:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [160/300] Train Time: 5.62s | Val Time: 3.08s |
| Train Acc: @1:69.79% @5:87.19% | Loss: 1.7659 |
| Val Acc: @1:3.04% @5:9.71% | Loss: 4.5850 |
| [2026-03-11 05:43:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [161/300] Train Time: 5.67s | Val Time: 3.30s |
| Train Acc: @1:67.71% @5:87.92% | Loss: 1.7645 |
| Val Acc: @1:3.04% @5:9.80% | Loss: 4.5845 |
| [2026-03-11 05:43:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [162/300] Train Time: 5.62s | Val Time: 3.04s |
| Train Acc: @1:68.75% @5:85.94% | Loss: 1.8053 |
| Val Acc: @1:3.04% @5:9.80% | Loss: 4.5840 |
| [2026-03-11 05:43:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [163/300] Train Time: 5.49s | Val Time: 3.07s |
| Train Acc: @1:70.31% @5:89.06% | Loss: 1.7169 |
| Val Acc: @1:3.14% @5:9.80% | Loss: 4.5835 |
| [2026-03-11 05:43:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 163, accuracy: 3.14% |
| [2026-03-11 05:44:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [164/300] Train Time: 5.84s | Val Time: 3.05s |
| Train Acc: @1:68.85% @5:87.50% | Loss: 1.7271 |
| Val Acc: @1:3.14% @5:9.71% | Loss: 4.5829 |
| [2026-03-11 05:44:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [165/300] Train Time: 5.67s | Val Time: 3.12s |
| Train Acc: @1:69.48% @5:89.48% | Loss: 1.7209 |
| Val Acc: @1:3.14% @5:9.71% | Loss: 4.5824 |
| [2026-03-11 05:44:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [166/300] Train Time: 5.52s | Val Time: 3.10s |
| Train Acc: @1:69.27% @5:87.29% | Loss: 1.7208 |
| Val Acc: @1:3.14% @5:9.80% | Loss: 4.5819 |
| [2026-03-11 05:44:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [167/300] Train Time: 5.63s | Val Time: 3.15s |
| Train Acc: @1:74.06% @5:90.21% | Loss: 1.6264 |
| Val Acc: @1:3.14% @5:9.80% | Loss: 4.5813 |
| [2026-03-11 05:44:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [168/300] Train Time: 5.53s | Val Time: 3.12s |
| Train Acc: @1:69.69% @5:87.40% | Loss: 1.7355 |
| Val Acc: @1:3.24% @5:9.90% | Loss: 4.5808 |
| [2026-03-11 05:44:52 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 168, accuracy: 3.24% |
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