| [2026-03-12 02:04:28 LinearSpectre] (3675809339.py 65): INFO LinearSpectre( |
| (patch_embed): V2PatchEmbed( |
| (proj): Sequential( |
| (0): Conv2d(3, 192, kernel_size=(4, 4), stride=(4, 4)) |
| (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=3138, 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)) |
| ) |
| [2026-03-12 02:04:28 LinearSpectre] (3675809339.py 69): INFO Trainable parameters: 8305758 |
| [2026-03-12 02:04:29 LinearSpectre] (920838639.py 22): INFO No checkpoint found, starting from scratch. |
| [2026-03-12 02:05:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [1/300] Train Time: 63.57s | Val Time: 14.79s |
| Train Acc: @1:0.99% @5:5.46% | Loss: 4.5792 |
| Val Acc: @1:0.69% @5:4.80% | Loss: 4.6299 |
| [2026-03-12 02:05:47 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 1, accuracy: 0.69% |
| [2026-03-12 02:06:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [2/300] Train Time: 44.13s | Val Time: 13.78s |
| Train Acc: @1:1.19% @5:6.15% | Loss: 4.5696 |
| Val Acc: @1:0.69% @5:4.90% | Loss: 4.6298 |
| [2026-03-12 02:07:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [3/300] Train Time: 44.04s | Val Time: 13.85s |
| Train Acc: @1:0.89% @5:5.06% | Loss: 4.5785 |
| Val Acc: @1:0.78% @5:5.00% | Loss: 4.6295 |
| [2026-03-12 02:07:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 3, accuracy: 0.78% |
| [2026-03-12 02:08:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [4/300] Train Time: 44.15s | Val Time: 13.76s |
| Train Acc: @1:2.38% @5:9.03% | Loss: 4.4950 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6288 |
| [2026-03-12 02:09:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [5/300] Train Time: 44.12s | Val Time: 13.80s |
| Train Acc: @1:2.68% @5:13.00% | Loss: 4.3936 |
| Val Acc: @1:0.78% @5:5.49% | Loss: 4.6278 |
| [2026-03-12 02:11:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [6/300] Train Time: 44.10s | Val Time: 13.80s |
| Train Acc: @1:2.88% @5:13.99% | Loss: 4.3404 |
| Val Acc: @1:0.78% @5:5.59% | Loss: 4.6267 |
| [2026-03-12 02:12:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [7/300] Train Time: 44.05s | Val Time: 13.82s |
| Train Acc: @1:3.57% @5:14.58% | Loss: 4.2524 |
| Val Acc: @1:0.78% @5:5.69% | Loss: 4.6253 |
| [2026-03-12 02:12:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [8/300] Train Time: 44.93s | Val Time: 13.84s |
| Train Acc: @1:3.97% @5:19.94% | Loss: 4.1865 |
| Val Acc: @1:0.88% @5:5.69% | Loss: 4.6237 |
| [2026-03-12 02:13:00 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 8, accuracy: 0.88% |
| [2026-03-12 02:14:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [9/300] Train Time: 44.10s | Val Time: 13.91s |
| Train Acc: @1:4.37% @5:21.13% | Loss: 4.1496 |
| Val Acc: @1:0.88% @5:5.88% | Loss: 4.6221 |
| [2026-03-12 02:15:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [10/300] Train Time: 44.19s | Val Time: 13.85s |
| Train Acc: @1:4.66% @5:21.23% | Loss: 4.1227 |
| Val Acc: @1:1.18% @5:6.18% | Loss: 4.6202 |
| [2026-03-12 02:15:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 10, accuracy: 1.18% |
| [2026-03-12 02:18:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [11/300] Train Time: 44.22s | Val Time: 13.84s |
| Train Acc: @1:5.95% @5:22.22% | Loss: 4.0994 |
| Val Acc: @1:1.27% @5:6.37% | Loss: 4.6182 |
| [2026-03-12 02:18:01 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 11, accuracy: 1.27% |
| [2026-03-12 02:19:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [12/300] Train Time: 44.22s | Val Time: 13.80s |
| Train Acc: @1:4.46% @5:20.54% | Loss: 4.1176 |
| Val Acc: @1:1.37% @5:6.86% | Loss: 4.6162 |
| [2026-03-12 02:19:07 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 12, accuracy: 1.37% |
| [2026-03-12 02:20:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [13/300] Train Time: 44.16s | Val Time: 13.79s |
| Train Acc: @1:5.56% @5:22.72% | Loss: 4.0822 |
| Val Acc: @1:1.37% @5:6.96% | Loss: 4.6139 |
| [2026-03-12 02:21:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [14/300] Train Time: 44.13s | Val Time: 13.77s |
| Train Acc: @1:6.45% @5:24.11% | Loss: 4.0212 |
| Val Acc: @1:1.37% @5:7.45% | Loss: 4.6115 |
| [2026-03-12 02:22:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [15/300] Train Time: 43.99s | Val Time: 13.76s |
| Train Acc: @1:6.25% @5:25.79% | Loss: 4.0195 |
| Val Acc: @1:1.47% @5:7.94% | Loss: 4.6090 |
| [2026-03-12 02:22:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 15, accuracy: 1.47% |
| [2026-03-12 02:23:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [16/300] Train Time: 44.11s | Val Time: 13.82s |
| Train Acc: @1:7.14% @5:25.30% | Loss: 4.0351 |
| Val Acc: @1:1.67% @5:8.24% | Loss: 4.6064 |
| [2026-03-12 02:23:20 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 16, accuracy: 1.67% |
| [2026-03-12 02:24:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [17/300] Train Time: 44.19s | Val Time: 13.82s |
| Train Acc: @1:6.85% @5:26.69% | Loss: 3.9834 |
| Val Acc: @1:1.67% @5:8.33% | Loss: 4.6036 |
| [2026-03-12 02:25:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [18/300] Train Time: 44.17s | Val Time: 13.80s |
| Train Acc: @1:6.65% @5:26.69% | Loss: 4.0072 |
| Val Acc: @1:1.67% @5:8.63% | Loss: 4.6006 |
| [2026-03-12 02:26:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [19/300] Train Time: 44.16s | Val Time: 13.79s |
| Train Acc: @1:8.23% @5:27.08% | Loss: 4.0064 |
| Val Acc: @1:1.86% @5:9.31% | Loss: 4.5976 |
| [2026-03-12 02:26:23 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 19, accuracy: 1.86% |
| [2026-03-12 02:27:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [20/300] Train Time: 44.07s | Val Time: 13.76s |
| Train Acc: @1:7.44% @5:26.98% | Loss: 3.9454 |
| Val Acc: @1:1.96% @5:10.00% | Loss: 4.5943 |
| [2026-03-12 02:27:35 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 20, accuracy: 1.96% |
| [2026-03-12 02:28:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [21/300] Train Time: 44.16s | Val Time: 13.77s |
| Train Acc: @1:7.64% @5:26.39% | Loss: 3.9956 |
| Val Acc: @1:1.96% @5:10.49% | Loss: 4.5910 |
| [2026-03-12 02:29:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [22/300] Train Time: 44.07s | Val Time: 13.79s |
| Train Acc: @1:7.74% @5:27.88% | Loss: 3.9498 |
| Val Acc: @1:1.96% @5:11.08% | Loss: 4.5875 |
| [2026-03-12 02:30:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [23/300] Train Time: 43.99s | Val Time: 13.76s |
| Train Acc: @1:5.75% @5:26.29% | Loss: 3.9656 |
| Val Acc: @1:2.16% @5:11.47% | Loss: 4.5839 |
| [2026-03-12 02:30:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 23, accuracy: 2.16% |
| [2026-03-12 02:31:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [24/300] Train Time: 44.11s | Val Time: 13.80s |
| Train Acc: @1:8.43% @5:28.27% | Loss: 3.9491 |
| Val Acc: @1:2.25% @5:11.67% | Loss: 4.5801 |
| [2026-03-12 02:31:42 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 24, accuracy: 2.25% |
| [2026-03-12 02:32:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [25/300] Train Time: 44.13s | Val Time: 13.84s |
| Train Acc: @1:8.13% @5:29.86% | Loss: 3.9425 |
| Val Acc: @1:2.45% @5:12.16% | Loss: 4.5762 |
| [2026-03-12 02:33:02 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 25, accuracy: 2.45% |
| [2026-03-12 02:34:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [26/300] Train Time: 44.18s | Val Time: 13.81s |
| Train Acc: @1:7.94% @5:27.58% | Loss: 3.9495 |
| Val Acc: @1:2.55% @5:12.45% | Loss: 4.5721 |
| [2026-03-12 02:34:07 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 26, accuracy: 2.55% |
| [2026-03-12 02:35:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [27/300] Train Time: 44.17s | Val Time: 13.86s |
| Train Acc: @1:8.13% @5:29.86% | Loss: 3.9460 |
| Val Acc: @1:2.55% @5:12.75% | Loss: 4.5679 |
| [2026-03-12 02:36:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [28/300] Train Time: 44.14s | Val Time: 13.86s |
| Train Acc: @1:9.03% @5:30.85% | Loss: 3.9039 |
| Val Acc: @1:2.75% @5:13.14% | Loss: 4.5636 |
| [2026-03-12 02:36:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 28, accuracy: 2.75% |
| [2026-03-12 02:37:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [29/300] Train Time: 44.17s | Val Time: 13.78s |
| Train Acc: @1:7.74% @5:30.56% | Loss: 3.9276 |
| Val Acc: @1:2.94% @5:13.14% | Loss: 4.5591 |
| [2026-03-12 02:37:16 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 29, accuracy: 2.94% |
| [2026-03-12 02:38:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [30/300] Train Time: 44.22s | Val Time: 13.86s |
| Train Acc: @1:8.23% @5:28.17% | Loss: 3.9111 |
| Val Acc: @1:3.14% @5:13.43% | Loss: 4.5545 |
| [2026-03-12 02:38:28 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 30, accuracy: 3.14% |
| [2026-03-12 02:39:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [31/300] Train Time: 44.21s | Val Time: 13.80s |
| Train Acc: @1:9.13% @5:32.74% | Loss: 3.8732 |
| Val Acc: @1:3.33% @5:13.33% | Loss: 4.5497 |
| [2026-03-12 02:39:34 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 31, accuracy: 3.33% |
| [2026-03-12 02:40:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [32/300] Train Time: 44.08s | Val Time: 13.83s |
| Train Acc: @1:7.94% @5:30.85% | Loss: 3.9004 |
| Val Acc: @1:3.33% @5:13.04% | Loss: 4.5448 |
| [2026-03-12 02:41:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [33/300] Train Time: 44.94s | Val Time: 13.82s |
| Train Acc: @1:9.52% @5:35.12% | Loss: 3.8379 |
| Val Acc: @1:3.63% @5:13.43% | Loss: 4.5398 |
| [2026-03-12 02:41:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 33, accuracy: 3.63% |
| [2026-03-12 02:42:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [34/300] Train Time: 44.14s | Val Time: 13.83s |
| Train Acc: @1:9.33% @5:35.32% | Loss: 3.8277 |
| Val Acc: @1:3.73% @5:13.63% | Loss: 4.5347 |
| [2026-03-12 02:42:44 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 34, accuracy: 3.73% |
| [2026-03-12 02:43:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [35/300] Train Time: 44.22s | Val Time: 13.85s |
| Train Acc: @1:9.42% @5:31.45% | Loss: 3.8662 |
| Val Acc: @1:3.82% @5:13.73% | Loss: 4.5296 |
| [2026-03-12 02:43:55 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 35, accuracy: 3.82% |
| [2026-03-12 02:45:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [36/300] Train Time: 44.24s | Val Time: 13.86s |
| Train Acc: @1:11.51% @5:33.83% | Loss: 3.8187 |
| Val Acc: @1:4.22% @5:14.02% | Loss: 4.5244 |
| [2026-03-12 02:45:06 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 36, accuracy: 4.22% |
| [2026-03-12 02:46:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [37/300] Train Time: 44.18s | Val Time: 13.86s |
| Train Acc: @1:9.82% @5:32.54% | Loss: 3.8418 |
| Val Acc: @1:4.51% @5:14.31% | Loss: 4.5191 |
| [2026-03-12 02:46:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 37, accuracy: 4.51% |
| [2026-03-12 02:47:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [38/300] Train Time: 44.29s | Val Time: 13.89s |
| Train Acc: @1:12.20% @5:35.91% | Loss: 3.7874 |
| Val Acc: @1:4.51% @5:14.61% | Loss: 4.5137 |
| [2026-03-12 02:48:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [39/300] Train Time: 44.25s | Val Time: 13.91s |
| Train Acc: @1:10.91% @5:35.91% | Loss: 3.7827 |
| Val Acc: @1:4.61% @5:14.90% | Loss: 4.5083 |
| [2026-03-12 02:48:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 39, accuracy: 4.61% |
| [2026-03-12 02:49:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [40/300] Train Time: 44.31s | Val Time: 13.86s |
| Train Acc: @1:11.61% @5:36.71% | Loss: 3.7431 |
| Val Acc: @1:4.41% @5:14.71% | Loss: 4.5027 |
| [2026-03-12 02:50:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [41/300] Train Time: 44.26s | Val Time: 13.88s |
| Train Acc: @1:15.08% @5:38.19% | Loss: 3.6997 |
| Val Acc: @1:4.61% @5:14.90% | Loss: 4.4971 |
| [2026-03-12 02:51:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [42/300] Train Time: 44.28s | Val Time: 13.87s |
| Train Acc: @1:12.30% @5:36.31% | Loss: 3.7098 |
| Val Acc: @1:4.61% @5:15.29% | Loss: 4.4913 |
| [2026-03-12 02:52:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [43/300] Train Time: 44.26s | Val Time: 13.90s |
| Train Acc: @1:13.49% @5:37.90% | Loss: 3.7567 |
| Val Acc: @1:4.80% @5:16.08% | Loss: 4.4855 |
| [2026-03-12 02:52:22 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 43, accuracy: 4.80% |
| [2026-03-12 02:53:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [44/300] Train Time: 44.26s | Val Time: 13.92s |
| Train Acc: @1:12.00% @5:38.49% | Loss: 3.7050 |
| Val Acc: @1:5.10% @5:16.76% | Loss: 4.4795 |
| [2026-03-12 02:53:27 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 44, accuracy: 5.10% |
| [2026-03-12 02:54:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [45/300] Train Time: 44.28s | Val Time: 13.83s |
| Train Acc: @1:12.00% @5:34.92% | Loss: 3.7673 |
| Val Acc: @1:5.49% @5:17.25% | Loss: 4.4735 |
| [2026-03-12 02:54:38 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 45, accuracy: 5.49% |
| [2026-03-12 02:55:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [46/300] Train Time: 44.25s | Val Time: 13.87s |
| Train Acc: @1:12.50% @5:40.67% | Loss: 3.6685 |
| Val Acc: @1:5.78% @5:17.55% | Loss: 4.4674 |
| [2026-03-12 02:55:42 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 46, accuracy: 5.78% |
| [2026-03-12 02:56:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [47/300] Train Time: 44.22s | Val Time: 13.87s |
| Train Acc: @1:15.58% @5:41.96% | Loss: 3.6497 |
| Val Acc: @1:6.27% @5:18.04% | Loss: 4.4614 |
| [2026-03-12 02:56:47 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 47, accuracy: 6.27% |
| [2026-03-12 02:57:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [48/300] Train Time: 44.22s | Val Time: 13.85s |
| Train Acc: @1:10.91% @5:33.53% | Loss: 3.8922 |
| Val Acc: @1:6.18% @5:18.24% | Loss: 4.4552 |
| [2026-03-12 02:58:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [49/300] Train Time: 44.16s | Val Time: 13.86s |
| Train Acc: @1:12.20% @5:35.32% | Loss: 3.8076 |
| Val Acc: @1:6.27% @5:18.63% | Loss: 4.4490 |
| [2026-03-12 02:59:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [50/300] Train Time: 44.24s | Val Time: 13.87s |
| Train Acc: @1:12.30% @5:38.29% | Loss: 3.7394 |
| Val Acc: @1:6.27% @5:19.02% | Loss: 4.4428 |
| [2026-03-12 03:00:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [51/300] Train Time: 44.22s | Val Time: 13.85s |
| Train Acc: @1:14.09% @5:39.48% | Loss: 3.6966 |
| Val Acc: @1:6.27% @5:19.22% | Loss: 4.4366 |
| [2026-03-12 03:01:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [52/300] Train Time: 44.20s | Val Time: 13.88s |
| Train Acc: @1:14.88% @5:41.57% | Loss: 3.6163 |
| Val Acc: @1:6.67% @5:19.90% | Loss: 4.4304 |
| [2026-03-12 03:01:52 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 52, accuracy: 6.67% |
| [2026-03-12 03:02:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [53/300] Train Time: 44.20s | Val Time: 13.81s |
| Train Acc: @1:15.48% @5:41.87% | Loss: 3.6187 |
| Val Acc: @1:6.96% @5:20.20% | Loss: 4.4243 |
| [2026-03-12 03:02:57 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 53, accuracy: 6.96% |
| [2026-03-12 03:04:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [54/300] Train Time: 44.17s | Val Time: 13.85s |
| Train Acc: @1:15.58% @5:44.05% | Loss: 3.6163 |
| Val Acc: @1:6.86% @5:20.39% | Loss: 4.4181 |
| [2026-03-12 03:05:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [55/300] Train Time: 44.25s | Val Time: 13.86s |
| Train Acc: @1:13.59% @5:41.47% | Loss: 3.6206 |
| Val Acc: @1:7.16% @5:20.88% | Loss: 4.4120 |
| [2026-03-12 03:05:07 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 55, accuracy: 7.16% |
| [2026-03-12 03:06:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [56/300] Train Time: 44.26s | Val Time: 13.87s |
| Train Acc: @1:14.58% @5:43.95% | Loss: 3.6082 |
| Val Acc: @1:7.06% @5:21.37% | Loss: 4.4059 |
| [2026-03-12 03:07:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [57/300] Train Time: 44.15s | Val Time: 13.87s |
| Train Acc: @1:16.17% @5:39.98% | Loss: 3.6648 |
| Val Acc: @1:6.86% @5:21.67% | Loss: 4.3999 |
| [2026-03-12 03:08:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [58/300] Train Time: 44.18s | Val Time: 13.78s |
| Train Acc: @1:16.17% @5:45.63% | Loss: 3.5548 |
| Val Acc: @1:7.16% @5:22.06% | Loss: 4.3939 |
| [2026-03-12 03:09:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [59/300] Train Time: 44.13s | Val Time: 13.80s |
| Train Acc: @1:15.97% @5:44.54% | Loss: 3.5503 |
| Val Acc: @1:7.45% @5:22.16% | Loss: 4.3879 |
| [2026-03-12 03:09:14 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 59, accuracy: 7.45% |
| [2026-03-12 03:10:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [60/300] Train Time: 44.15s | Val Time: 13.78s |
| Train Acc: @1:17.36% @5:48.71% | Loss: 3.5229 |
| Val Acc: @1:7.55% @5:22.45% | Loss: 4.3819 |
| [2026-03-12 03:10:26 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 60, accuracy: 7.55% |
| [2026-03-12 03:11:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [61/300] Train Time: 44.19s | Val Time: 13.88s |
| Train Acc: @1:19.74% @5:46.23% | Loss: 3.4811 |
| Val Acc: @1:7.55% @5:22.94% | Loss: 4.3760 |
| [2026-03-12 03:12:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [62/300] Train Time: 44.28s | Val Time: 13.87s |
| Train Acc: @1:18.25% @5:46.53% | Loss: 3.5549 |
| Val Acc: @1:7.75% @5:23.04% | Loss: 4.3702 |
| [2026-03-12 03:12:29 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 62, accuracy: 7.75% |
| [2026-03-12 03:13:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [63/300] Train Time: 44.17s | Val Time: 13.79s |
| Train Acc: @1:19.54% @5:48.12% | Loss: 3.4820 |
| Val Acc: @1:7.84% @5:23.43% | Loss: 4.3644 |
| [2026-03-12 03:13:36 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 63, accuracy: 7.84% |
| [2026-03-12 03:14:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [64/300] Train Time: 44.09s | Val Time: 13.82s |
| Train Acc: @1:16.57% @5:47.32% | Loss: 3.5179 |
| Val Acc: @1:7.84% @5:23.33% | Loss: 4.3586 |
| [2026-03-12 03:15:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [65/300] Train Time: 44.14s | Val Time: 13.78s |
| Train Acc: @1:18.06% @5:49.90% | Loss: 3.4434 |
| Val Acc: @1:7.84% @5:23.14% | Loss: 4.3529 |
| [2026-03-12 03:16:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [66/300] Train Time: 44.13s | Val Time: 13.77s |
| Train Acc: @1:17.56% @5:47.42% | Loss: 3.4963 |
| Val Acc: @1:7.84% @5:23.24% | Loss: 4.3470 |
| [2026-03-12 03:17:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [67/300] Train Time: 44.10s | Val Time: 13.77s |
| Train Acc: @1:17.26% @5:49.60% | Loss: 3.4529 |
| Val Acc: @1:7.84% @5:23.43% | Loss: 4.3412 |
| [2026-03-12 03:18:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [68/300] Train Time: 44.17s | Val Time: 13.79s |
| Train Acc: @1:20.44% @5:51.09% | Loss: 3.3742 |
| Val Acc: @1:7.84% @5:23.73% | Loss: 4.3356 |
| [2026-03-12 03:19:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [69/300] Train Time: 44.21s | Val Time: 13.84s |
| Train Acc: @1:20.54% @5:50.60% | Loss: 3.3874 |
| Val Acc: @1:7.75% @5:24.02% | Loss: 4.3299 |
| [2026-03-12 03:20:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [70/300] Train Time: 44.19s | Val Time: 13.86s |
| Train Acc: @1:19.54% @5:49.90% | Loss: 3.4524 |
| Val Acc: @1:7.84% @5:24.61% | Loss: 4.3243 |
| [2026-03-12 03:21:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [71/300] Train Time: 44.23s | Val Time: 13.83s |
| Train Acc: @1:18.75% @5:52.58% | Loss: 3.3938 |
| Val Acc: @1:7.94% @5:25.00% | Loss: 4.3187 |
| [2026-03-12 03:21:43 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 71, accuracy: 7.94% |
| [2026-03-12 03:22:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [72/300] Train Time: 44.16s | Val Time: 13.74s |
| Train Acc: @1:20.44% @5:52.08% | Loss: 3.3578 |
| Val Acc: @1:7.84% @5:25.29% | Loss: 4.3131 |
| [2026-03-12 03:23:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [73/300] Train Time: 44.09s | Val Time: 13.80s |
| Train Acc: @1:22.02% @5:53.27% | Loss: 3.3253 |
| Val Acc: @1:7.84% @5:25.39% | Loss: 4.3077 |
| [2026-03-12 03:24:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [74/300] Train Time: 44.14s | Val Time: 13.87s |
| Train Acc: @1:22.52% @5:54.37% | Loss: 3.2735 |
| Val Acc: @1:7.84% @5:25.29% | Loss: 4.3022 |
| [2026-03-12 03:25:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [75/300] Train Time: 44.22s | Val Time: 13.81s |
| Train Acc: @1:24.21% @5:57.04% | Loss: 3.2649 |
| Val Acc: @1:7.84% @5:25.39% | Loss: 4.2967 |
| [2026-03-12 03:26:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [76/300] Train Time: 44.14s | Val Time: 13.85s |
| Train Acc: @1:22.02% @5:53.87% | Loss: 3.3489 |
| Val Acc: @1:8.14% @5:25.88% | Loss: 4.2913 |
| [2026-03-12 03:26:49 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 76, accuracy: 8.14% |
| [2026-03-12 03:27:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [77/300] Train Time: 44.29s | Val Time: 13.93s |
| Train Acc: @1:23.51% @5:55.26% | Loss: 3.2435 |
| Val Acc: @1:8.33% @5:25.98% | Loss: 4.2859 |
| [2026-03-12 03:27:55 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 77, accuracy: 8.33% |
| [2026-03-12 03:29:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [78/300] Train Time: 44.25s | Val Time: 13.91s |
| Train Acc: @1:23.12% @5:54.46% | Loss: 3.2984 |
| Val Acc: @1:8.73% @5:25.98% | Loss: 4.2804 |
| [2026-03-12 03:29:01 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 78, accuracy: 8.73% |
| [2026-03-12 03:30:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [79/300] Train Time: 44.27s | Val Time: 13.87s |
| Train Acc: @1:27.18% @5:58.93% | Loss: 3.1995 |
| Val Acc: @1:8.92% @5:25.98% | Loss: 4.2749 |
| [2026-03-12 03:30:07 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 79, accuracy: 8.92% |
| [2026-03-12 03:31:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [80/300] Train Time: 44.20s | Val Time: 13.87s |
| Train Acc: @1:25.20% @5:56.65% | Loss: 3.2240 |
| Val Acc: @1:8.82% @5:26.08% | Loss: 4.2696 |
| [2026-03-12 03:32:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [81/300] Train Time: 44.22s | Val Time: 13.90s |
| Train Acc: @1:23.71% @5:56.75% | Loss: 3.2234 |
| Val Acc: @1:8.63% @5:25.98% | Loss: 4.2643 |
| [2026-03-12 03:33:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [82/300] Train Time: 44.25s | Val Time: 13.87s |
| Train Acc: @1:26.69% @5:60.62% | Loss: 3.1571 |
| Val Acc: @1:8.82% @5:26.47% | Loss: 4.2590 |
| [2026-03-12 03:34:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [83/300] Train Time: 44.25s | Val Time: 13.92s |
| Train Acc: @1:27.78% @5:60.32% | Loss: 3.1592 |
| Val Acc: @1:8.82% @5:26.67% | Loss: 4.2539 |
| [2026-03-12 03:35:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [84/300] Train Time: 44.27s | Val Time: 13.91s |
| Train Acc: @1:27.98% @5:62.30% | Loss: 3.1272 |
| Val Acc: @1:8.92% @5:26.96% | Loss: 4.2488 |
| [2026-03-12 03:36:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [85/300] Train Time: 44.31s | Val Time: 13.92s |
| Train Acc: @1:27.38% @5:60.91% | Loss: 3.1165 |
| Val Acc: @1:8.92% @5:26.86% | Loss: 4.2437 |
| [2026-03-12 03:37:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [86/300] Train Time: 44.49s | Val Time: 13.92s |
| Train Acc: @1:28.17% @5:61.01% | Loss: 3.0938 |
| Val Acc: @1:9.22% @5:26.76% | Loss: 4.2386 |
| [2026-03-12 03:37:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 86, accuracy: 9.22% |
| [2026-03-12 03:38:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [87/300] Train Time: 44.23s | Val Time: 13.93s |
| Train Acc: @1:27.88% @5:59.92% | Loss: 3.1000 |
| Val Acc: @1:9.31% @5:27.25% | Loss: 4.2333 |
| [2026-03-12 03:38:22 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 87, accuracy: 9.31% |
| [2026-03-12 03:39:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [88/300] Train Time: 44.29s | Val Time: 13.90s |
| Train Acc: @1:27.38% @5:60.42% | Loss: 3.1125 |
| Val Acc: @1:9.41% @5:27.45% | Loss: 4.2283 |
| [2026-03-12 03:39:27 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 88, accuracy: 9.41% |
| [2026-03-12 03:40:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [89/300] Train Time: 45.03s | Val Time: 13.92s |
| Train Acc: @1:33.04% @5:65.48% | Loss: 3.0086 |
| Val Acc: @1:9.41% @5:27.65% | Loss: 4.2233 |
| [2026-03-12 03:41:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [90/300] Train Time: 44.24s | Val Time: 13.88s |
| Train Acc: @1:31.25% @5:62.80% | Loss: 3.0590 |
| Val Acc: @1:9.41% @5:27.65% | Loss: 4.2184 |
| [2026-03-12 03:42:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [91/300] Train Time: 44.30s | Val Time: 13.90s |
| Train Acc: @1:29.86% @5:62.50% | Loss: 3.0317 |
| Val Acc: @1:9.31% @5:27.65% | Loss: 4.2136 |
| [2026-03-12 03:43:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [92/300] Train Time: 44.17s | Val Time: 13.97s |
| Train Acc: @1:28.87% @5:63.49% | Loss: 3.0650 |
| Val Acc: @1:9.51% @5:27.84% | Loss: 4.2088 |
| [2026-03-12 03:43:35 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 92, accuracy: 9.51% |
| [2026-03-12 03:44:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [93/300] Train Time: 44.32s | Val Time: 13.92s |
| Train Acc: @1:31.55% @5:65.58% | Loss: 2.9550 |
| Val Acc: @1:9.41% @5:27.94% | Loss: 4.2042 |
| [2026-03-12 03:45:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [94/300] Train Time: 44.37s | Val Time: 13.96s |
| Train Acc: @1:32.34% @5:64.29% | Loss: 3.0023 |
| Val Acc: @1:9.41% @5:28.14% | Loss: 4.1995 |
| [2026-03-12 03:46:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [95/300] Train Time: 44.36s | Val Time: 13.93s |
| Train Acc: @1:31.94% @5:65.67% | Loss: 2.9662 |
| Val Acc: @1:9.51% @5:28.14% | Loss: 4.1949 |
| [2026-03-12 03:47:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [96/300] Train Time: 44.31s | Val Time: 13.95s |
| Train Acc: @1:36.51% @5:69.94% | Loss: 2.8593 |
| Val Acc: @1:9.51% @5:27.94% | Loss: 4.1905 |
| [2026-03-12 03:48:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [97/300] Train Time: 44.30s | Val Time: 13.90s |
| Train Acc: @1:38.59% @5:69.54% | Loss: 2.8155 |
| Val Acc: @1:9.61% @5:28.14% | Loss: 4.1861 |
| [2026-03-12 03:48:44 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 97, accuracy: 9.61% |
| [2026-03-12 03:49:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [98/300] Train Time: 44.30s | Val Time: 13.86s |
| Train Acc: @1:37.10% @5:69.35% | Loss: 2.8429 |
| Val Acc: @1:9.51% @5:28.14% | Loss: 4.1817 |
| [2026-03-12 03:50:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [99/300] Train Time: 44.14s | Val Time: 13.82s |
| Train Acc: @1:38.89% @5:69.94% | Loss: 2.7765 |
| Val Acc: @1:9.51% @5:28.24% | Loss: 4.1774 |
| [2026-03-12 03:51:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [100/300] Train Time: 44.25s | Val Time: 13.92s |
| Train Acc: @1:37.40% @5:68.75% | Loss: 2.8135 |
| Val Acc: @1:9.51% @5:28.14% | Loss: 4.1731 |
| [2026-03-12 03:52:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [101/300] Train Time: 44.33s | Val Time: 13.88s |
| Train Acc: @1:37.80% @5:72.42% | Loss: 2.8025 |
| Val Acc: @1:9.61% @5:28.33% | Loss: 4.1690 |
| [2026-03-12 03:53:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [102/300] Train Time: 44.28s | Val Time: 13.91s |
| Train Acc: @1:39.68% @5:71.23% | Loss: 2.7450 |
| Val Acc: @1:9.71% @5:28.43% | Loss: 4.1649 |
| [2026-03-12 03:53:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 102, accuracy: 9.71% |
| [2026-03-12 03:54:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [103/300] Train Time: 44.29s | Val Time: 13.93s |
| Train Acc: @1:39.68% @5:72.42% | Loss: 2.7877 |
| Val Acc: @1:9.31% @5:28.43% | Loss: 4.1608 |
| [2026-03-12 03:55:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [104/300] Train Time: 44.26s | Val Time: 13.94s |
| Train Acc: @1:41.87% @5:71.83% | Loss: 2.7093 |
| Val Acc: @1:9.31% @5:28.63% | Loss: 4.1569 |
| [2026-03-12 03:56:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [105/300] Train Time: 44.23s | Val Time: 13.90s |
| Train Acc: @1:41.47% @5:72.82% | Loss: 2.6937 |
| Val Acc: @1:9.61% @5:28.43% | Loss: 4.1530 |
| [2026-03-12 03:57:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [106/300] Train Time: 44.29s | Val Time: 13.92s |
| Train Acc: @1:42.16% @5:75.79% | Loss: 2.6381 |
| Val Acc: @1:9.80% @5:29.12% | Loss: 4.1491 |
| [2026-03-12 03:57:59 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 106, accuracy: 9.80% |
| [2026-03-12 03:59:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [107/300] Train Time: 44.36s | Val Time: 13.97s |
| Train Acc: @1:43.45% @5:73.12% | Loss: 2.6485 |
| Val Acc: @1:9.90% @5:29.12% | Loss: 4.1455 |
| [2026-03-12 03:59:05 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 107, accuracy: 9.90% |
| [2026-03-12 04:00:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [108/300] Train Time: 44.40s | Val Time: 13.93s |
| Train Acc: @1:43.55% @5:77.48% | Loss: 2.6078 |
| Val Acc: @1:10.10% @5:29.22% | Loss: 4.1418 |
| [2026-03-12 04:00:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 108, accuracy: 10.10% |
| [2026-03-12 04:01:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [109/300] Train Time: 44.30s | Val Time: 13.96s |
| Train Acc: @1:45.93% @5:78.08% | Loss: 2.5803 |
| Val Acc: @1:10.20% @5:29.51% | Loss: 4.1381 |
| [2026-03-12 04:01:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 109, accuracy: 10.20% |
| [2026-03-12 04:02:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [110/300] Train Time: 44.26s | Val Time: 13.91s |
| Train Acc: @1:44.94% @5:74.60% | Loss: 2.6239 |
| Val Acc: @1:10.49% @5:29.22% | Loss: 4.1344 |
| [2026-03-12 04:02:30 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 110, accuracy: 10.49% |
| [2026-03-12 04:03:35 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [111/300] Train Time: 44.32s | Val Time: 13.97s |
| Train Acc: @1:42.76% @5:74.70% | Loss: 2.6269 |
| Val Acc: @1:10.49% @5:29.41% | Loss: 4.1309 |
| [2026-03-12 04:04:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [112/300] Train Time: 44.36s | Val Time: 13.96s |
| Train Acc: @1:43.75% @5:75.30% | Loss: 2.5954 |
| Val Acc: @1:10.49% @5:29.41% | Loss: 4.1273 |
| [2026-03-12 04:05:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [113/300] Train Time: 44.34s | Val Time: 13.98s |
| Train Acc: @1:45.34% @5:76.19% | Loss: 2.5691 |
| Val Acc: @1:10.59% @5:29.61% | Loss: 4.1236 |
| [2026-03-12 04:05:33 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 113, accuracy: 10.59% |
| [2026-03-12 04:06:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [114/300] Train Time: 44.53s | Val Time: 13.96s |
| Train Acc: @1:49.01% @5:80.65% | Loss: 2.4979 |
| Val Acc: @1:10.69% @5:29.71% | Loss: 4.1200 |
| [2026-03-12 04:06:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 114, accuracy: 10.69% |
| [2026-03-12 04:07:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [115/300] Train Time: 44.36s | Val Time: 13.94s |
| Train Acc: @1:46.03% @5:77.88% | Loss: 2.5471 |
| Val Acc: @1:10.59% @5:29.71% | Loss: 4.1165 |
| [2026-03-12 04:08:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [116/300] Train Time: 44.33s | Val Time: 13.92s |
| Train Acc: @1:47.02% @5:80.06% | Loss: 2.4689 |
| Val Acc: @1:10.69% @5:29.71% | Loss: 4.1130 |
| [2026-03-12 04:09:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [117/300] Train Time: 44.23s | Val Time: 13.89s |
| Train Acc: @1:48.51% @5:79.17% | Loss: 2.4804 |
| Val Acc: @1:10.69% @5:29.51% | Loss: 4.1094 |
| [2026-03-12 04:10:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [118/300] Train Time: 45.07s | Val Time: 13.91s |
| Train Acc: @1:50.60% @5:79.96% | Loss: 2.4266 |
| Val Acc: @1:10.88% @5:29.71% | Loss: 4.1059 |
| [2026-03-12 04:10:49 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 118, accuracy: 10.88% |
| [2026-03-12 04:11:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [119/300] Train Time: 44.19s | Val Time: 13.93s |
| Train Acc: @1:49.40% @5:81.25% | Loss: 2.4269 |
| Val Acc: @1:10.88% @5:29.80% | Loss: 4.1026 |
| [2026-03-12 04:12:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [120/300] Train Time: 44.24s | Val Time: 13.92s |
| Train Acc: @1:56.05% @5:83.73% | Loss: 2.2665 |
| Val Acc: @1:10.98% @5:29.80% | Loss: 4.0993 |
| [2026-03-12 04:13:00 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 120, accuracy: 10.98% |
| [2026-03-12 04:14:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [121/300] Train Time: 44.23s | Val Time: 13.92s |
| Train Acc: @1:50.20% @5:82.34% | Loss: 2.3927 |
| Val Acc: @1:10.69% @5:30.20% | Loss: 4.0960 |
| [2026-03-12 04:15:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [122/300] Train Time: 44.29s | Val Time: 14.04s |
| Train Acc: @1:52.58% @5:82.94% | Loss: 2.3354 |
| Val Acc: @1:10.59% @5:30.39% | Loss: 4.0928 |
| [2026-03-12 04:16:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [123/300] Train Time: 44.27s | Val Time: 13.90s |
| Train Acc: @1:52.78% @5:81.05% | Loss: 2.3780 |
| Val Acc: @1:10.59% @5:30.39% | Loss: 4.0896 |
| [2026-03-12 04:17:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [124/300] Train Time: 44.26s | Val Time: 13.92s |
| Train Acc: @1:54.96% @5:83.93% | Loss: 2.2534 |
| Val Acc: @1:10.49% @5:30.20% | Loss: 4.0866 |
| [2026-03-12 04:17:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [125/300] Train Time: 44.24s | Val Time: 13.93s |
| Train Acc: @1:51.69% @5:82.04% | Loss: 2.3800 |
| Val Acc: @1:10.49% @5:30.39% | Loss: 4.0837 |
| [2026-03-12 04:19:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [126/300] Train Time: 44.22s | Val Time: 13.88s |
| Train Acc: @1:54.37% @5:82.04% | Loss: 2.3223 |
| Val Acc: @1:10.49% @5:30.69% | Loss: 4.0809 |
| [2026-03-12 04:20:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [127/300] Train Time: 44.27s | Val Time: 13.93s |
| Train Acc: @1:60.02% @5:85.71% | Loss: 2.1736 |
| Val Acc: @1:10.59% @5:30.69% | Loss: 4.0782 |
| [2026-03-12 04:21:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [128/300] Train Time: 44.28s | Val Time: 13.91s |
| Train Acc: @1:58.04% @5:84.92% | Loss: 2.1774 |
| Val Acc: @1:10.49% @5:30.69% | Loss: 4.0755 |
| [2026-03-12 04:21:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [129/300] Train Time: 44.25s | Val Time: 13.92s |
| Train Acc: @1:55.26% @5:83.73% | Loss: 2.2549 |
| Val Acc: @1:10.49% @5:30.29% | Loss: 4.0730 |
| [2026-03-12 04:22:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [130/300] Train Time: 44.32s | Val Time: 13.87s |
| Train Acc: @1:58.33% @5:85.02% | Loss: 2.2130 |
| Val Acc: @1:10.49% @5:30.39% | Loss: 4.0704 |
| [2026-03-12 04:24:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [131/300] Train Time: 44.29s | Val Time: 13.91s |
| Train Acc: @1:59.62% @5:85.22% | Loss: 2.1535 |
| Val Acc: @1:10.39% @5:30.69% | Loss: 4.0679 |
| [2026-03-12 04:25:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [132/300] Train Time: 44.28s | Val Time: 13.94s |
| Train Acc: @1:59.13% @5:86.71% | Loss: 2.1098 |
| Val Acc: @1:10.49% @5:30.78% | Loss: 4.0656 |
| [2026-03-12 04:26:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [133/300] Train Time: 44.37s | Val Time: 13.86s |
| Train Acc: @1:58.04% @5:84.52% | Loss: 2.1735 |
| Val Acc: @1:10.49% @5:30.78% | Loss: 4.0633 |
| [2026-03-12 04:26:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [134/300] Train Time: 44.24s | Val Time: 13.91s |
| Train Acc: @1:62.90% @5:87.30% | Loss: 2.1080 |
| Val Acc: @1:10.49% @5:30.78% | Loss: 4.0610 |
| [2026-03-12 04:27:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [135/300] Train Time: 44.30s | Val Time: 13.88s |
| Train Acc: @1:60.91% @5:88.19% | Loss: 2.0664 |
| Val Acc: @1:10.59% @5:30.78% | Loss: 4.0588 |
| [2026-03-12 04:29:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [136/300] Train Time: 44.25s | Val Time: 13.95s |
| Train Acc: @1:64.38% @5:88.29% | Loss: 2.0020 |
| Val Acc: @1:10.39% @5:30.78% | Loss: 4.0566 |
| [2026-03-12 04:30:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [137/300] Train Time: 44.41s | Val Time: 13.92s |
| Train Acc: @1:65.18% @5:88.29% | Loss: 2.0216 |
| Val Acc: @1:10.49% @5:30.88% | Loss: 4.0545 |
| [2026-03-12 04:31:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [138/300] Train Time: 44.26s | Val Time: 13.91s |
| Train Acc: @1:59.52% @5:86.11% | Loss: 2.1144 |
| Val Acc: @1:10.49% @5:31.08% | Loss: 4.0524 |
| [2026-03-12 04:31:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [139/300] Train Time: 44.39s | Val Time: 13.98s |
| Train Acc: @1:63.69% @5:88.00% | Loss: 2.0524 |
| Val Acc: @1:10.29% @5:30.98% | Loss: 4.0502 |
| [2026-03-12 04:32:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [140/300] Train Time: 44.40s | Val Time: 13.85s |
| Train Acc: @1:63.19% @5:87.20% | Loss: 2.0173 |
| Val Acc: @1:10.20% @5:31.47% | Loss: 4.0481 |
| [2026-03-12 04:34:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [141/300] Train Time: 44.27s | Val Time: 13.91s |
| Train Acc: @1:67.96% @5:89.68% | Loss: 1.9015 |
| Val Acc: @1:10.10% @5:31.27% | Loss: 4.0461 |
| [2026-03-12 04:35:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [142/300] Train Time: 44.26s | Val Time: 13.89s |
| Train Acc: @1:65.28% @5:89.88% | Loss: 1.9828 |
| Val Acc: @1:10.10% @5:31.08% | Loss: 4.0441 |
| [2026-03-12 04:35:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [143/300] Train Time: 44.31s | Val Time: 13.94s |
| Train Acc: @1:68.55% @5:88.79% | Loss: 1.9529 |
| Val Acc: @1:10.10% @5:31.18% | Loss: 4.0422 |
| [2026-03-12 04:36:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [144/300] Train Time: 44.40s | Val Time: 13.95s |
| Train Acc: @1:68.55% @5:88.99% | Loss: 1.9123 |
| Val Acc: @1:10.20% @5:31.47% | Loss: 4.0404 |
| [2026-03-12 04:37:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [145/300] Train Time: 44.39s | Val Time: 13.88s |
| Train Acc: @1:67.06% @5:88.00% | Loss: 1.9902 |
| Val Acc: @1:10.20% @5:31.37% | Loss: 4.0385 |
| [2026-03-12 04:39:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [146/300] Train Time: 44.43s | Val Time: 13.92s |
| Train Acc: @1:68.55% @5:89.98% | Loss: 1.9059 |
| Val Acc: @1:10.39% @5:30.88% | Loss: 4.0367 |
| [2026-03-12 04:40:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [147/300] Train Time: 45.15s | Val Time: 13.96s |
| Train Acc: @1:69.74% @5:90.97% | Loss: 1.8618 |
| Val Acc: @1:10.39% @5:30.88% | Loss: 4.0349 |
| [2026-03-12 04:41:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [148/300] Train Time: 44.26s | Val Time: 13.99s |
| Train Acc: @1:72.92% @5:91.37% | Loss: 1.7955 |
| Val Acc: @1:10.49% @5:31.18% | Loss: 4.0331 |
| [2026-03-12 04:42:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [149/300] Train Time: 44.30s | Val Time: 13.96s |
| Train Acc: @1:70.83% @5:90.28% | Loss: 1.8371 |
| Val Acc: @1:10.29% @5:31.08% | Loss: 4.0313 |
| [2026-03-12 04:42:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [150/300] Train Time: 44.39s | Val Time: 13.86s |
| Train Acc: @1:69.74% @5:90.87% | Loss: 1.8442 |
| Val Acc: @1:10.29% @5:31.18% | Loss: 4.0295 |
| [2026-03-12 04:44:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [151/300] Train Time: 44.23s | Val Time: 13.92s |
| Train Acc: @1:70.34% @5:90.48% | Loss: 1.8086 |
| Val Acc: @1:10.29% @5:31.18% | Loss: 4.0278 |
| [2026-03-12 04:45:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [152/300] Train Time: 44.30s | Val Time: 13.93s |
| Train Acc: @1:71.33% @5:91.37% | Loss: 1.7911 |
| Val Acc: @1:10.20% @5:31.18% | Loss: 4.0259 |
| [2026-03-12 04:46:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [153/300] Train Time: 44.26s | Val Time: 13.91s |
| Train Acc: @1:74.90% @5:93.06% | Loss: 1.7211 |
| Val Acc: @1:10.10% @5:31.27% | Loss: 4.0241 |
| [2026-03-12 04:46:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [154/300] Train Time: 44.30s | Val Time: 13.90s |
| Train Acc: @1:75.60% @5:92.76% | Loss: 1.7037 |
| Val Acc: @1:10.20% @5:31.18% | Loss: 4.0222 |
| [2026-03-12 04:47:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [155/300] Train Time: 44.24s | Val Time: 13.93s |
| Train Acc: @1:72.82% @5:91.17% | Loss: 1.7668 |
| Val Acc: @1:10.29% @5:31.18% | Loss: 4.0205 |
| [2026-03-12 04:49:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [156/300] Train Time: 44.26s | Val Time: 13.91s |
| Train Acc: @1:73.02% @5:92.06% | Loss: 1.7531 |
| Val Acc: @1:10.49% @5:31.27% | Loss: 4.0187 |
| [2026-03-12 04:50:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [157/300] Train Time: 44.35s | Val Time: 13.94s |
| Train Acc: @1:73.41% @5:92.56% | Loss: 1.7546 |
| Val Acc: @1:10.49% @5:31.37% | Loss: 4.0169 |
| [2026-03-12 04:51:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [158/300] Train Time: 44.26s | Val Time: 13.90s |
| Train Acc: @1:73.02% @5:91.87% | Loss: 1.7557 |
| Val Acc: @1:10.39% @5:31.47% | Loss: 4.0152 |
| [2026-03-12 04:52:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [159/300] Train Time: 44.21s | Val Time: 13.91s |
| Train Acc: @1:76.39% @5:92.76% | Loss: 1.6785 |
| Val Acc: @1:10.49% @5:31.47% | Loss: 4.0134 |
| [2026-03-12 04:53:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [160/300] Train Time: 44.31s | Val Time: 14.12s |
| Train Acc: @1:76.09% @5:93.25% | Loss: 1.6544 |
| Val Acc: @1:10.39% @5:31.37% | Loss: 4.0116 |
| [2026-03-12 04:54:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [161/300] Train Time: 44.35s | Val Time: 13.96s |
| Train Acc: @1:77.18% @5:92.96% | Loss: 1.6438 |
| Val Acc: @1:10.69% @5:31.27% | Loss: 4.0098 |
| [2026-03-12 04:55:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [162/300] Train Time: 44.33s | Val Time: 13.90s |
| Train Acc: @1:75.89% @5:92.66% | Loss: 1.6618 |
| Val Acc: @1:10.59% @5:31.37% | Loss: 4.0079 |
| [2026-03-12 04:56:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [163/300] Train Time: 44.31s | Val Time: 13.91s |
| Train Acc: @1:75.10% @5:93.06% | Loss: 1.7095 |
| Val Acc: @1:10.49% @5:31.37% | Loss: 4.0061 |
| [2026-03-12 04:57:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [164/300] Train Time: 44.36s | Val Time: 13.92s |
| Train Acc: @1:80.26% @5:95.44% | Loss: 1.5381 |
| Val Acc: @1:10.49% @5:31.67% | Loss: 4.0044 |
| [2026-03-12 04:58:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [165/300] Train Time: 44.29s | Val Time: 13.95s |
| Train Acc: @1:77.08% @5:93.25% | Loss: 1.6447 |
| Val Acc: @1:10.39% @5:31.86% | Loss: 4.0027 |
| [2026-03-12 04:59:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [166/300] Train Time: 44.25s | Val Time: 13.90s |
| Train Acc: @1:79.46% @5:93.95% | Loss: 1.5995 |
| Val Acc: @1:10.29% @5:31.86% | Loss: 4.0009 |
| [2026-03-12 05:00:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [167/300] Train Time: 44.21s | Val Time: 13.91s |
| Train Acc: @1:81.15% @5:95.54% | Loss: 1.5363 |
| Val Acc: @1:10.29% @5:31.96% | Loss: 3.9990 |
| [2026-03-12 05:01:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [168/300] Train Time: 44.36s | Val Time: 13.95s |
| Train Acc: @1:78.67% @5:94.15% | Loss: 1.6020 |
| Val Acc: @1:10.49% @5:31.86% | Loss: 3.9971 |
| [2026-03-12 05:02:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [169/300] Train Time: 44.28s | Val Time: 13.88s |
| Train Acc: @1:79.66% @5:93.55% | Loss: 1.5880 |
| Val Acc: @1:10.49% @5:31.96% | Loss: 3.9953 |
| [2026-03-12 05:03:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [170/300] Train Time: 44.21s | Val Time: 13.90s |
| Train Acc: @1:77.58% @5:93.95% | Loss: 1.5929 |
| Val Acc: @1:10.49% @5:32.06% | Loss: 3.9934 |
| [2026-03-12 05:04:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [171/300] Train Time: 44.23s | Val Time: 13.91s |
| Train Acc: @1:79.46% @5:93.06% | Loss: 1.6006 |
| Val Acc: @1:10.59% @5:32.16% | Loss: 3.9915 |
| [2026-03-12 05:05:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [172/300] Train Time: 44.25s | Val Time: 13.95s |
| Train Acc: @1:81.15% @5:94.64% | Loss: 1.5465 |
| Val Acc: @1:10.49% @5:32.16% | Loss: 3.9897 |
| [2026-03-12 05:06:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [173/300] Train Time: 44.24s | Val Time: 13.92s |
| Train Acc: @1:82.04% @5:94.64% | Loss: 1.5152 |
| Val Acc: @1:10.59% @5:32.16% | Loss: 3.9879 |
| [2026-03-12 05:07:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [174/300] Train Time: 44.28s | Val Time: 13.90s |
| Train Acc: @1:84.42% @5:95.44% | Loss: 1.4752 |
| Val Acc: @1:10.69% @5:32.06% | Loss: 3.9861 |
| [2026-03-12 05:08:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [175/300] Train Time: 44.24s | Val Time: 13.90s |
| Train Acc: @1:83.23% @5:96.23% | Loss: 1.4755 |
| Val Acc: @1:10.78% @5:32.06% | Loss: 3.9843 |
| [2026-03-12 05:09:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [176/300] Train Time: 44.36s | Val Time: 13.88s |
| Train Acc: @1:81.15% @5:93.45% | Loss: 1.5405 |
| Val Acc: @1:10.88% @5:32.25% | Loss: 3.9826 |
| [2026-03-12 05:10:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [177/300] Train Time: 44.99s | Val Time: 13.90s |
| Train Acc: @1:81.85% @5:94.35% | Loss: 1.5242 |
| Val Acc: @1:10.88% @5:32.45% | Loss: 3.9808 |
| [2026-03-12 05:11:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [178/300] Train Time: 44.29s | Val Time: 13.91s |
| Train Acc: @1:84.82% @5:96.92% | Loss: 1.4396 |
| Val Acc: @1:10.88% @5:32.45% | Loss: 3.9791 |
| [2026-03-12 05:12:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [179/300] Train Time: 44.28s | Val Time: 13.88s |
| Train Acc: @1:82.94% @5:95.83% | Loss: 1.4799 |
| Val Acc: @1:10.69% @5:32.45% | Loss: 3.9774 |
| [2026-03-12 05:13:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [180/300] Train Time: 44.20s | Val Time: 13.87s |
| Train Acc: @1:80.65% @5:94.44% | Loss: 1.5250 |
| Val Acc: @1:10.69% @5:32.55% | Loss: 3.9757 |
| [2026-03-12 05:14:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [181/300] Train Time: 44.41s | Val Time: 13.84s |
| Train Acc: @1:84.42% @5:95.34% | Loss: 1.4509 |
| Val Acc: @1:10.59% @5:32.75% | Loss: 3.9741 |
| [2026-03-12 05:15:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [182/300] Train Time: 44.16s | Val Time: 13.86s |
| Train Acc: @1:86.11% @5:96.43% | Loss: 1.4161 |
| Val Acc: @1:10.59% @5:32.84% | Loss: 3.9725 |
| [2026-03-12 05:16:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [183/300] Train Time: 44.20s | Val Time: 13.83s |
| Train Acc: @1:83.93% @5:95.73% | Loss: 1.4566 |
| Val Acc: @1:10.69% @5:32.94% | Loss: 3.9709 |
| [2026-03-12 05:17:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [184/300] Train Time: 44.13s | Val Time: 13.84s |
| Train Acc: @1:85.22% @5:95.44% | Loss: 1.4287 |
| Val Acc: @1:10.69% @5:32.94% | Loss: 3.9693 |
| [2026-03-12 05:18:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [185/300] Train Time: 44.12s | Val Time: 13.82s |
| Train Acc: @1:86.01% @5:96.73% | Loss: 1.3830 |
| Val Acc: @1:10.88% @5:32.75% | Loss: 3.9677 |
| [2026-03-12 05:19:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [186/300] Train Time: 44.24s | Val Time: 13.81s |
| Train Acc: @1:86.21% @5:95.54% | Loss: 1.4220 |
| Val Acc: @1:10.98% @5:32.75% | Loss: 3.9662 |
| [2026-03-12 05:20:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [187/300] Train Time: 44.11s | Val Time: 13.83s |
| Train Acc: @1:85.71% @5:96.23% | Loss: 1.3919 |
| Val Acc: @1:10.98% @5:32.94% | Loss: 3.9646 |
| [2026-03-12 05:21:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [188/300] Train Time: 44.19s | Val Time: 13.81s |
| Train Acc: @1:86.21% @5:96.53% | Loss: 1.3731 |
| Val Acc: @1:11.18% @5:33.14% | Loss: 3.9630 |
| [2026-03-12 05:21:06 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 188, accuracy: 11.18% |
| [2026-03-12 05:22:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [189/300] Train Time: 44.13s | Val Time: 13.84s |
| Train Acc: @1:85.32% @5:96.43% | Loss: 1.3898 |
| Val Acc: @1:11.18% @5:33.04% | Loss: 3.9614 |
| [2026-03-12 05:23:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [190/300] Train Time: 44.23s | Val Time: 13.85s |
| Train Acc: @1:86.81% @5:96.53% | Loss: 1.3709 |
| Val Acc: @1:11.37% @5:33.33% | Loss: 3.9597 |
| [2026-03-12 05:23:18 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 190, accuracy: 11.37% |
| [2026-03-12 05:24:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [191/300] Train Time: 44.19s | Val Time: 13.85s |
| Train Acc: @1:86.51% @5:97.22% | Loss: 1.3844 |
| Val Acc: @1:11.37% @5:33.24% | Loss: 3.9580 |
| [2026-03-12 05:25:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [192/300] Train Time: 44.16s | Val Time: 13.83s |
| Train Acc: @1:87.10% @5:97.02% | Loss: 1.3621 |
| Val Acc: @1:11.27% @5:33.24% | Loss: 3.9564 |
| [2026-03-12 05:26:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [193/300] Train Time: 44.17s | Val Time: 13.84s |
| Train Acc: @1:86.71% @5:95.73% | Loss: 1.3752 |
| Val Acc: @1:11.47% @5:33.14% | Loss: 3.9546 |
| [2026-03-12 05:26:20 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 193, accuracy: 11.47% |
| [2026-03-12 05:27:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [194/300] Train Time: 44.33s | Val Time: 13.84s |
| Train Acc: @1:86.81% @5:97.02% | Loss: 1.3431 |
| Val Acc: @1:11.67% @5:33.24% | Loss: 3.9530 |
| [2026-03-12 05:27:26 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 194, accuracy: 11.67% |
| [2026-03-12 05:28:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [195/300] Train Time: 44.26s | Val Time: 13.83s |
| Train Acc: @1:88.49% @5:97.32% | Loss: 1.3124 |
| Val Acc: @1:11.67% @5:33.24% | Loss: 3.9513 |
| [2026-03-12 05:29:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [196/300] Train Time: 44.21s | Val Time: 13.82s |
| Train Acc: @1:87.40% @5:96.63% | Loss: 1.3350 |
| Val Acc: @1:11.57% @5:33.14% | Loss: 3.9497 |
| [2026-03-12 05:30:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [197/300] Train Time: 44.22s | Val Time: 13.85s |
| Train Acc: @1:89.38% @5:98.12% | Loss: 1.2909 |
| Val Acc: @1:11.57% @5:33.43% | Loss: 3.9480 |
| [2026-03-12 05:31:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [198/300] Train Time: 44.20s | Val Time: 13.93s |
| Train Acc: @1:88.69% @5:96.53% | Loss: 1.3201 |
| Val Acc: @1:11.57% @5:33.73% | Loss: 3.9466 |
| [2026-03-12 05:32:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [199/300] Train Time: 44.17s | Val Time: 13.82s |
| Train Acc: @1:88.49% @5:97.32% | Loss: 1.2949 |
| Val Acc: @1:11.67% @5:33.63% | Loss: 3.9449 |
| [2026-03-12 05:33:35 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [200/300] Train Time: 44.24s | Val Time: 13.82s |
| Train Acc: @1:90.38% @5:98.02% | Loss: 1.2497 |
| Val Acc: @1:11.76% @5:33.53% | Loss: 3.9434 |
| [2026-03-12 05:33:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 200, accuracy: 11.76% |
| [2026-03-12 05:34:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [201/300] Train Time: 44.20s | Val Time: 13.86s |
| Train Acc: @1:88.29% @5:98.21% | Loss: 1.2987 |
| Val Acc: @1:11.76% @5:33.63% | Loss: 3.9419 |
| [2026-03-12 05:35:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [202/300] Train Time: 44.14s | Val Time: 13.82s |
| Train Acc: @1:89.68% @5:97.22% | Loss: 1.2875 |
| Val Acc: @1:11.96% @5:33.43% | Loss: 3.9404 |
| [2026-03-12 05:35:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 202, accuracy: 11.96% |
| [2026-03-12 05:36:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [203/300] Train Time: 44.23s | Val Time: 13.85s |
| Train Acc: @1:89.58% @5:97.32% | Loss: 1.2837 |
| Val Acc: @1:12.06% @5:33.73% | Loss: 3.9388 |
| [2026-03-12 05:36:58 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 203, accuracy: 12.06% |
| [2026-03-12 05:38:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [204/300] Train Time: 44.12s | Val Time: 13.80s |
| Train Acc: @1:88.59% @5:96.63% | Loss: 1.2961 |
| Val Acc: @1:12.35% @5:33.82% | Loss: 3.9373 |
| [2026-03-12 05:38:04 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 204, accuracy: 12.35% |
| [2026-03-12 05:39:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [205/300] Train Time: 44.88s | Val Time: 13.82s |
| Train Acc: @1:91.77% @5:97.32% | Loss: 1.2501 |
| Val Acc: @1:12.45% @5:34.12% | Loss: 3.9357 |
| [2026-03-12 05:39:20 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 205, accuracy: 12.45% |
| [2026-03-12 05:40:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [206/300] Train Time: 44.12s | Val Time: 13.84s |
| Train Acc: @1:91.17% @5:98.02% | Loss: 1.2341 |
| Val Acc: @1:12.55% @5:34.02% | Loss: 3.9342 |
| [2026-03-12 05:40:28 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 206, accuracy: 12.55% |
| [2026-03-12 05:41:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [207/300] Train Time: 44.20s | Val Time: 13.85s |
| Train Acc: @1:90.97% @5:97.92% | Loss: 1.2581 |
| Val Acc: @1:12.65% @5:34.12% | Loss: 3.9328 |
| [2026-03-12 05:41:34 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 207, accuracy: 12.65% |
| [2026-03-12 05:42:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [208/300] Train Time: 44.10s | Val Time: 13.85s |
| Train Acc: @1:89.78% @5:97.62% | Loss: 1.2409 |
| Val Acc: @1:12.65% @5:34.12% | Loss: 3.9313 |
| [2026-03-12 05:43:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [209/300] Train Time: 44.14s | Val Time: 13.84s |
| Train Acc: @1:91.07% @5:98.31% | Loss: 1.2240 |
| Val Acc: @1:12.65% @5:34.22% | Loss: 3.9298 |
| [2026-03-12 05:44:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [210/300] Train Time: 44.18s | Val Time: 13.79s |
| Train Acc: @1:91.77% @5:98.21% | Loss: 1.2302 |
| Val Acc: @1:12.65% @5:34.31% | Loss: 3.9282 |
| [2026-03-12 05:45:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [211/300] Train Time: 44.10s | Val Time: 13.86s |
| Train Acc: @1:91.57% @5:98.12% | Loss: 1.2109 |
| Val Acc: @1:12.65% @5:34.31% | Loss: 3.9267 |
| [2026-03-12 05:46:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [212/300] Train Time: 44.22s | Val Time: 13.91s |
| Train Acc: @1:93.45% @5:98.12% | Loss: 1.1701 |
| Val Acc: @1:12.55% @5:34.51% | Loss: 3.9252 |
| [2026-03-12 05:47:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [213/300] Train Time: 44.17s | Val Time: 13.90s |
| Train Acc: @1:91.77% @5:98.31% | Loss: 1.1980 |
| Val Acc: @1:12.75% @5:34.61% | Loss: 3.9237 |
| [2026-03-12 05:47:40 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 213, accuracy: 12.75% |
| [2026-03-12 05:48:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [214/300] Train Time: 44.22s | Val Time: 13.94s |
| Train Acc: @1:92.86% @5:99.01% | Loss: 1.1764 |
| Val Acc: @1:12.75% @5:35.00% | Loss: 3.9223 |
| [2026-03-12 05:49:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [215/300] Train Time: 44.31s | Val Time: 13.92s |
| Train Acc: @1:93.25% @5:98.91% | Loss: 1.1640 |
| Val Acc: @1:12.84% @5:35.20% | Loss: 3.9209 |
| [2026-03-12 05:49:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 215, accuracy: 12.84% |
| [2026-03-12 05:50:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [216/300] Train Time: 44.29s | Val Time: 13.93s |
| Train Acc: @1:92.16% @5:98.41% | Loss: 1.1820 |
| Val Acc: @1:12.94% @5:35.29% | Loss: 3.9195 |
| [2026-03-12 05:50:58 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 216, accuracy: 12.94% |
| [2026-03-12 05:52:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [217/300] Train Time: 44.20s | Val Time: 13.87s |
| Train Acc: @1:91.77% @5:97.82% | Loss: 1.2045 |
| Val Acc: @1:13.04% @5:35.29% | Loss: 3.9182 |
| [2026-03-12 05:52:04 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 217, accuracy: 13.04% |
| [2026-03-12 05:53:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [218/300] Train Time: 44.33s | Val Time: 13.88s |
| Train Acc: @1:94.15% @5:98.71% | Loss: 1.1382 |
| Val Acc: @1:13.04% @5:35.49% | Loss: 3.9168 |
| [2026-03-12 05:54:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [219/300] Train Time: 44.24s | Val Time: 13.92s |
| Train Acc: @1:94.05% @5:98.71% | Loss: 1.1613 |
| Val Acc: @1:13.04% @5:35.59% | Loss: 3.9154 |
| [2026-03-12 05:55:06 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [220/300] Train Time: 44.29s | Val Time: 13.97s |
| Train Acc: @1:94.35% @5:98.91% | Loss: 1.1328 |
| Val Acc: @1:13.04% @5:35.69% | Loss: 3.9140 |
| [2026-03-12 05:56:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [221/300] Train Time: 44.30s | Val Time: 13.93s |
| Train Acc: @1:93.06% @5:98.81% | Loss: 1.1606 |
| Val Acc: @1:13.04% @5:35.78% | Loss: 3.9126 |
| [2026-03-12 05:57:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [222/300] Train Time: 44.28s | Val Time: 13.89s |
| Train Acc: @1:93.25% @5:98.31% | Loss: 1.1789 |
| Val Acc: @1:13.04% @5:35.98% | Loss: 3.9112 |
| [2026-03-12 05:58:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [223/300] Train Time: 44.24s | Val Time: 13.90s |
| Train Acc: @1:93.65% @5:98.12% | Loss: 1.1499 |
| Val Acc: @1:13.24% @5:36.18% | Loss: 3.9098 |
| [2026-03-12 05:58:10 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 223, accuracy: 13.24% |
| [2026-03-12 05:59:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [224/300] Train Time: 44.37s | Val Time: 13.89s |
| Train Acc: @1:93.55% @5:98.02% | Loss: 1.1530 |
| Val Acc: @1:13.43% @5:36.18% | Loss: 3.9084 |
| [2026-03-12 05:59:16 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 224, accuracy: 13.43% |
| [2026-03-12 06:00:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [225/300] Train Time: 44.43s | Val Time: 13.92s |
| Train Acc: @1:94.94% @5:98.71% | Loss: 1.1470 |
| Val Acc: @1:13.43% @5:36.27% | Loss: 3.9071 |
| [2026-03-12 06:01:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [226/300] Train Time: 44.35s | Val Time: 13.89s |
| Train Acc: @1:93.95% @5:98.61% | Loss: 1.1328 |
| Val Acc: @1:13.43% @5:36.37% | Loss: 3.9058 |
| [2026-03-12 06:02:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [227/300] Train Time: 44.23s | Val Time: 13.92s |
| Train Acc: @1:94.25% @5:98.41% | Loss: 1.1296 |
| Val Acc: @1:13.24% @5:36.27% | Loss: 3.9044 |
| [2026-03-12 06:03:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [228/300] Train Time: 44.25s | Val Time: 13.96s |
| Train Acc: @1:93.95% @5:99.11% | Loss: 1.1190 |
| Val Acc: @1:13.14% @5:36.37% | Loss: 3.9031 |
| [2026-03-12 06:04:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [229/300] Train Time: 44.25s | Val Time: 13.94s |
| Train Acc: @1:93.15% @5:98.31% | Loss: 1.1660 |
| Val Acc: @1:13.14% @5:36.67% | Loss: 3.9018 |
| [2026-03-12 06:05:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [230/300] Train Time: 44.30s | Val Time: 13.92s |
| Train Acc: @1:94.54% @5:98.61% | Loss: 1.1324 |
| Val Acc: @1:13.14% @5:36.86% | Loss: 3.9006 |
| [2026-03-12 06:06:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [231/300] Train Time: 44.35s | Val Time: 13.87s |
| Train Acc: @1:93.25% @5:98.71% | Loss: 1.1347 |
| Val Acc: @1:13.24% @5:37.45% | Loss: 3.8993 |
| [2026-03-12 06:07:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [232/300] Train Time: 44.28s | Val Time: 13.95s |
| Train Acc: @1:93.85% @5:98.12% | Loss: 1.1466 |
| Val Acc: @1:13.33% @5:37.45% | Loss: 3.8980 |
| [2026-03-12 06:08:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [233/300] Train Time: 44.20s | Val Time: 13.90s |
| Train Acc: @1:94.35% @5:98.51% | Loss: 1.1301 |
| Val Acc: @1:13.33% @5:37.45% | Loss: 3.8968 |
| [2026-03-12 06:09:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [234/300] Train Time: 44.42s | Val Time: 13.88s |
| Train Acc: @1:94.44% @5:99.11% | Loss: 1.1101 |
| Val Acc: @1:13.33% @5:37.55% | Loss: 3.8956 |
| [2026-03-12 06:10:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [235/300] Train Time: 45.05s | Val Time: 13.88s |
| Train Acc: @1:94.74% @5:98.51% | Loss: 1.1182 |
| Val Acc: @1:13.43% @5:37.55% | Loss: 3.8944 |
| [2026-03-12 06:11:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [236/300] Train Time: 44.27s | Val Time: 13.88s |
| Train Acc: @1:94.74% @5:99.01% | Loss: 1.1005 |
| Val Acc: @1:13.43% @5:37.55% | Loss: 3.8932 |
| [2026-03-12 06:12:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [237/300] Train Time: 44.24s | Val Time: 13.88s |
| Train Acc: @1:95.44% @5:99.11% | Loss: 1.0987 |
| Val Acc: @1:13.53% @5:37.55% | Loss: 3.8920 |
| [2026-03-12 06:12:26 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 237, accuracy: 13.53% |
| [2026-03-12 06:13:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [238/300] Train Time: 44.25s | Val Time: 13.94s |
| Train Acc: @1:94.64% @5:98.81% | Loss: 1.1116 |
| Val Acc: @1:13.63% @5:37.65% | Loss: 3.8907 |
| [2026-03-12 06:13:32 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 238, accuracy: 13.63% |
| [2026-03-12 06:14:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [239/300] Train Time: 44.19s | Val Time: 13.89s |
| Train Acc: @1:95.63% @5:98.41% | Loss: 1.0942 |
| Val Acc: @1:13.82% @5:37.65% | Loss: 3.8895 |
| [2026-03-12 06:14:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 239, accuracy: 13.82% |
| [2026-03-12 06:15:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [240/300] Train Time: 44.20s | Val Time: 13.90s |
| Train Acc: @1:96.23% @5:99.80% | Loss: 1.0577 |
| Val Acc: @1:13.82% @5:37.65% | Loss: 3.8882 |
| [2026-03-12 06:16:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [241/300] Train Time: 44.21s | Val Time: 13.88s |
| Train Acc: @1:95.83% @5:99.21% | Loss: 1.0729 |
| Val Acc: @1:13.73% @5:37.65% | Loss: 3.8870 |
| [2026-03-12 06:17:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [242/300] Train Time: 44.24s | Val Time: 13.94s |
| Train Acc: @1:96.23% @5:99.01% | Loss: 1.0725 |
| Val Acc: @1:13.73% @5:37.75% | Loss: 3.8858 |
| [2026-03-12 06:18:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [243/300] Train Time: 44.32s | Val Time: 13.92s |
| Train Acc: @1:94.05% @5:99.01% | Loss: 1.1080 |
| Val Acc: @1:13.73% @5:37.75% | Loss: 3.8845 |
| [2026-03-12 06:19:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [244/300] Train Time: 44.29s | Val Time: 13.94s |
| Train Acc: @1:95.93% @5:99.70% | Loss: 1.0723 |
| Val Acc: @1:13.92% @5:37.84% | Loss: 3.8833 |
| [2026-03-12 06:19:47 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 244, accuracy: 13.92% |
| [2026-03-12 06:20:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [245/300] Train Time: 44.26s | Val Time: 13.93s |
| Train Acc: @1:95.44% @5:98.71% | Loss: 1.0928 |
| Val Acc: @1:14.02% @5:38.04% | Loss: 3.8820 |
| [2026-03-12 06:20:59 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 245, accuracy: 14.02% |
| [2026-03-12 06:22:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [246/300] Train Time: 44.31s | Val Time: 13.98s |
| Train Acc: @1:96.43% @5:98.91% | Loss: 1.0583 |
| Val Acc: @1:14.12% @5:37.94% | Loss: 3.8807 |
| [2026-03-12 06:22:05 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 246, accuracy: 14.12% |
| [2026-03-12 06:23:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [247/300] Train Time: 44.29s | Val Time: 13.93s |
| Train Acc: @1:96.13% @5:99.11% | Loss: 1.0533 |
| Val Acc: @1:14.12% @5:38.04% | Loss: 3.8795 |
| [2026-03-12 06:24:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [248/300] Train Time: 44.50s | Val Time: 13.88s |
| Train Acc: @1:95.24% @5:99.21% | Loss: 1.0786 |
| Val Acc: @1:14.12% @5:38.04% | Loss: 3.8782 |
| [2026-03-12 06:25:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [249/300] Train Time: 44.37s | Val Time: 14.00s |
| Train Acc: @1:97.02% @5:99.50% | Loss: 1.0414 |
| Val Acc: @1:14.22% @5:37.94% | Loss: 3.8770 |
| [2026-03-12 06:25:08 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 249, accuracy: 14.22% |
| [2026-03-12 06:26:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [250/300] Train Time: 44.28s | Val Time: 13.94s |
| Train Acc: @1:95.63% @5:99.11% | Loss: 1.0737 |
| Val Acc: @1:14.22% @5:38.14% | Loss: 3.8757 |
| [2026-03-12 06:27:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [251/300] Train Time: 44.31s | Val Time: 13.91s |
| Train Acc: @1:96.92% @5:99.40% | Loss: 1.0508 |
| Val Acc: @1:14.31% @5:38.14% | Loss: 3.8745 |
| [2026-03-12 06:27:19 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 251, accuracy: 14.31% |
| [2026-03-12 06:28:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [252/300] Train Time: 44.36s | Val Time: 13.94s |
| Train Acc: @1:96.33% @5:99.50% | Loss: 1.0497 |
| Val Acc: @1:14.51% @5:38.33% | Loss: 3.8732 |
| [2026-03-12 06:28:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 252, accuracy: 14.51% |
| [2026-03-12 06:29:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [253/300] Train Time: 44.30s | Val Time: 13.97s |
| Train Acc: @1:96.03% @5:99.11% | Loss: 1.0553 |
| Val Acc: @1:14.61% @5:38.53% | Loss: 3.8719 |
| [2026-03-12 06:29:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 253, accuracy: 14.61% |
| [2026-03-12 06:30:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [254/300] Train Time: 44.33s | Val Time: 14.05s |
| Train Acc: @1:97.02% @5:99.31% | Loss: 1.0304 |
| Val Acc: @1:14.71% @5:38.53% | Loss: 3.8706 |
| [2026-03-12 06:30:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 254, accuracy: 14.71% |
| [2026-03-12 06:31:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [255/300] Train Time: 44.25s | Val Time: 13.97s |
| Train Acc: @1:95.34% @5:99.21% | Loss: 1.0797 |
| Val Acc: @1:14.80% @5:38.53% | Loss: 3.8693 |
| [2026-03-12 06:32:02 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 255, accuracy: 14.80% |
| [2026-03-12 06:33:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [256/300] Train Time: 44.40s | Val Time: 14.06s |
| Train Acc: @1:96.53% @5:99.40% | Loss: 1.0546 |
| Val Acc: @1:14.90% @5:38.53% | Loss: 3.8680 |
| [2026-03-12 06:33:08 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 256, accuracy: 14.90% |
| [2026-03-12 06:34:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [257/300] Train Time: 44.35s | Val Time: 13.96s |
| Train Acc: @1:96.03% @5:99.21% | Loss: 1.0642 |
| Val Acc: @1:15.00% @5:38.63% | Loss: 3.8667 |
| [2026-03-12 06:34:13 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 257, accuracy: 15.00% |
| [2026-03-12 06:35:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [258/300] Train Time: 44.42s | Val Time: 13.99s |
| Train Acc: @1:95.34% @5:99.01% | Loss: 1.0773 |
| Val Acc: @1:15.00% @5:38.73% | Loss: 3.8653 |
| [2026-03-12 06:36:17 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [259/300] Train Time: 44.37s | Val Time: 13.97s |
| Train Acc: @1:96.63% @5:99.40% | Loss: 1.0395 |
| Val Acc: @1:15.10% @5:38.73% | Loss: 3.8641 |
| [2026-03-12 06:36:18 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 259, accuracy: 15.10% |
| [2026-03-12 06:37:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [260/300] Train Time: 44.30s | Val Time: 13.98s |
| Train Acc: @1:96.33% @5:99.21% | Loss: 1.0385 |
| Val Acc: @1:15.10% @5:38.92% | Loss: 3.8628 |
| [2026-03-12 06:38:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [261/300] Train Time: 44.61s | Val Time: 13.92s |
| Train Acc: @1:95.44% @5:99.40% | Loss: 1.0644 |
| Val Acc: @1:15.10% @5:38.82% | Loss: 3.8615 |
| [2026-03-12 06:39:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [262/300] Train Time: 44.34s | Val Time: 14.03s |
| Train Acc: @1:95.73% @5:99.21% | Loss: 1.0552 |
| Val Acc: @1:15.10% @5:38.82% | Loss: 3.8602 |
| [2026-03-12 06:40:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [263/300] Train Time: 45.23s | Val Time: 13.99s |
| Train Acc: @1:96.83% @5:99.11% | Loss: 1.0381 |
| Val Acc: @1:15.29% @5:38.73% | Loss: 3.8588 |
| [2026-03-12 06:40:28 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 263, accuracy: 15.29% |
| [2026-03-12 06:41:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [264/300] Train Time: 44.38s | Val Time: 14.00s |
| Train Acc: @1:96.53% @5:99.50% | Loss: 1.0490 |
| Val Acc: @1:15.39% @5:38.82% | Loss: 3.8575 |
| [2026-03-12 06:41:33 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 264, accuracy: 15.39% |
| [2026-03-12 06:42:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [265/300] Train Time: 44.33s | Val Time: 13.96s |
| Train Acc: @1:96.33% @5:99.21% | Loss: 1.0484 |
| Val Acc: @1:15.49% @5:39.22% | Loss: 3.8562 |
| [2026-03-12 06:42:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 265, accuracy: 15.49% |
| [2026-03-12 06:43:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [266/300] Train Time: 44.35s | Val Time: 14.00s |
| Train Acc: @1:97.42% @5:99.40% | Loss: 1.0471 |
| Val Acc: @1:15.59% @5:39.31% | Loss: 3.8549 |
| [2026-03-12 06:43:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 266, accuracy: 15.59% |
| [2026-03-12 06:44:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [267/300] Train Time: 44.41s | Val Time: 13.97s |
| Train Acc: @1:95.54% @5:99.50% | Loss: 1.0556 |
| Val Acc: @1:15.59% @5:39.51% | Loss: 3.8536 |
| [2026-03-12 06:45:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [268/300] Train Time: 44.38s | Val Time: 13.94s |
| Train Acc: @1:95.73% @5:99.21% | Loss: 1.0471 |
| Val Acc: @1:15.69% @5:39.80% | Loss: 3.8523 |
| [2026-03-12 06:45:54 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 268, accuracy: 15.69% |
| [2026-03-12 06:46:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [269/300] Train Time: 44.40s | Val Time: 14.03s |
| Train Acc: @1:96.43% @5:99.01% | Loss: 1.0372 |
| Val Acc: @1:15.69% @5:40.10% | Loss: 3.8510 |
| [2026-03-12 06:47:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [270/300] Train Time: 44.39s | Val Time: 13.99s |
| Train Acc: @1:96.33% @5:99.21% | Loss: 1.0540 |
| Val Acc: @1:15.69% @5:40.10% | Loss: 3.8496 |
| [2026-03-12 06:49:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [271/300] Train Time: 44.44s | Val Time: 14.01s |
| Train Acc: @1:95.73% @5:99.50% | Loss: 1.0568 |
| Val Acc: @1:15.69% @5:40.29% | Loss: 3.8483 |
| [2026-03-12 06:50:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [272/300] Train Time: 44.34s | Val Time: 14.00s |
| Train Acc: @1:96.43% @5:98.91% | Loss: 1.0500 |
| Val Acc: @1:15.69% @5:40.49% | Loss: 3.8470 |
| [2026-03-12 06:51:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [273/300] Train Time: 44.39s | Val Time: 14.07s |
| Train Acc: @1:96.73% @5:99.80% | Loss: 1.0267 |
| Val Acc: @1:15.69% @5:40.49% | Loss: 3.8457 |
| [2026-03-12 06:52:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [274/300] Train Time: 44.35s | Val Time: 13.95s |
| Train Acc: @1:95.44% @5:99.31% | Loss: 1.0536 |
| Val Acc: @1:15.78% @5:40.69% | Loss: 3.8443 |
| [2026-03-12 06:52:00 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 274, accuracy: 15.78% |
| [2026-03-12 06:53:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [275/300] Train Time: 44.35s | Val Time: 13.99s |
| Train Acc: @1:96.43% @5:99.50% | Loss: 1.0435 |
| Val Acc: @1:15.88% @5:40.39% | Loss: 3.8430 |
| [2026-03-12 06:53:12 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 275, accuracy: 15.88% |
| [2026-03-12 06:54:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [276/300] Train Time: 44.37s | Val Time: 13.94s |
| Train Acc: @1:96.43% @5:99.31% | Loss: 1.0474 |
| Val Acc: @1:15.98% @5:40.59% | Loss: 3.8416 |
| [2026-03-12 06:54:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 276, accuracy: 15.98% |
| [2026-03-12 06:55:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [277/300] Train Time: 44.32s | Val Time: 14.00s |
| Train Acc: @1:95.73% @5:99.01% | Loss: 1.0615 |
| Val Acc: @1:15.88% @5:40.59% | Loss: 3.8403 |
| [2026-03-12 06:56:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [278/300] Train Time: 44.46s | Val Time: 13.92s |
| Train Acc: @1:97.02% @5:99.40% | Loss: 1.0250 |
| Val Acc: @1:15.78% @5:40.59% | Loss: 3.8389 |
| [2026-03-12 06:57:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [279/300] Train Time: 44.36s | Val Time: 14.16s |
| Train Acc: @1:97.32% @5:99.40% | Loss: 1.0185 |
| Val Acc: @1:15.78% @5:40.78% | Loss: 3.8376 |
| [2026-03-12 06:58:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [280/300] Train Time: 44.31s | Val Time: 14.00s |
| Train Acc: @1:97.02% @5:99.60% | Loss: 1.0369 |
| Val Acc: @1:15.78% @5:40.88% | Loss: 3.8362 |
| [2026-03-12 06:59:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [281/300] Train Time: 44.35s | Val Time: 14.02s |
| Train Acc: @1:96.92% @5:99.70% | Loss: 1.0331 |
| Val Acc: @1:15.98% @5:40.88% | Loss: 3.8349 |
| [2026-03-12 07:00:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [282/300] Train Time: 44.51s | Val Time: 13.96s |
| Train Acc: @1:95.83% @5:98.71% | Loss: 1.0676 |
| Val Acc: @1:15.78% @5:40.98% | Loss: 3.8335 |
| [2026-03-12 07:01:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [283/300] Train Time: 44.42s | Val Time: 14.01s |
| Train Acc: @1:96.23% @5:99.01% | Loss: 1.0459 |
| Val Acc: @1:15.78% @5:40.98% | Loss: 3.8321 |
| [2026-03-12 07:02:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [284/300] Train Time: 44.38s | Val Time: 14.00s |
| Train Acc: @1:96.23% @5:99.01% | Loss: 1.0408 |
| Val Acc: @1:16.08% @5:41.08% | Loss: 3.8307 |
| [2026-03-12 07:02:21 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 284, accuracy: 16.08% |
| [2026-03-12 07:03:25 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [285/300] Train Time: 44.35s | Val Time: 13.91s |
| Train Acc: @1:97.42% @5:99.60% | Loss: 1.0233 |
| Val Acc: @1:16.18% @5:41.37% | Loss: 3.8293 |
| [2026-03-12 07:03:32 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 285, accuracy: 16.18% |
| [2026-03-12 07:04:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [286/300] Train Time: 44.41s | Val Time: 13.93s |
| Train Acc: @1:96.03% @5:99.50% | Loss: 1.0440 |
| Val Acc: @1:16.27% @5:41.37% | Loss: 3.8279 |
| [2026-03-12 07:04:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 286, accuracy: 16.27% |
| [2026-03-12 07:05:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [287/300] Train Time: 44.35s | Val Time: 13.96s |
| Train Acc: @1:96.53% @5:99.21% | Loss: 1.0527 |
| Val Acc: @1:16.27% @5:41.47% | Loss: 3.8265 |
| [2026-03-12 07:06:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [288/300] Train Time: 44.32s | Val Time: 13.95s |
| Train Acc: @1:96.92% @5:99.50% | Loss: 1.0316 |
| Val Acc: @1:16.27% @5:41.47% | Loss: 3.8251 |
| [2026-03-12 07:07:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [289/300] Train Time: 44.30s | Val Time: 13.96s |
| Train Acc: @1:95.83% @5:99.01% | Loss: 1.0479 |
| Val Acc: @1:16.37% @5:41.47% | Loss: 3.8237 |
| [2026-03-12 07:07:40 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 289, accuracy: 16.37% |
| [2026-03-12 07:08:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [290/300] Train Time: 44.39s | Val Time: 14.07s |
| Train Acc: @1:95.63% @5:99.01% | Loss: 1.0630 |
| Val Acc: @1:16.57% @5:41.67% | Loss: 3.8223 |
| [2026-03-12 07:08:54 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 290, accuracy: 16.57% |
| [2026-03-12 07:09:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [291/300] Train Time: 44.33s | Val Time: 13.94s |
| Train Acc: @1:96.13% @5:99.01% | Loss: 1.0562 |
| Val Acc: @1:16.57% @5:41.57% | Loss: 3.8209 |
| [2026-03-12 07:10:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [292/300] Train Time: 45.05s | Val Time: 13.89s |
| Train Acc: @1:96.33% @5:99.21% | Loss: 1.0516 |
| Val Acc: @1:16.67% @5:41.67% | Loss: 3.8195 |
| [2026-03-12 07:10:59 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 292, accuracy: 16.67% |
| [2026-03-12 07:12:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [293/300] Train Time: 44.26s | Val Time: 13.93s |
| Train Acc: @1:96.73% @5:99.80% | Loss: 1.0339 |
| Val Acc: @1:16.67% @5:42.06% | Loss: 3.8180 |
| [2026-03-12 07:13:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [294/300] Train Time: 44.21s | Val Time: 13.95s |
| Train Acc: @1:96.23% @5:99.60% | Loss: 1.0339 |
| Val Acc: @1:16.76% @5:42.06% | Loss: 3.8166 |
| [2026-03-12 07:13:03 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 294, accuracy: 16.76% |
| [2026-03-12 07:14:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [295/300] Train Time: 44.38s | Val Time: 14.04s |
| Train Acc: @1:97.12% @5:99.60% | Loss: 1.0291 |
| Val Acc: @1:16.86% @5:42.16% | Loss: 3.8152 |
| [2026-03-12 07:14:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 295, accuracy: 16.86% |
| [2026-03-12 07:15:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [296/300] Train Time: 44.48s | Val Time: 13.92s |
| Train Acc: @1:97.22% @5:99.21% | Loss: 1.0358 |
| Val Acc: @1:16.96% @5:42.25% | Loss: 3.8137 |
| [2026-03-12 07:15:21 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 296, accuracy: 16.96% |
| [2026-03-12 07:16:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [297/300] Train Time: 44.25s | Val Time: 14.00s |
| Train Acc: @1:96.53% @5:98.91% | Loss: 1.0489 |
| Val Acc: @1:17.06% @5:42.35% | Loss: 3.8123 |
| [2026-03-12 07:16:27 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 297, accuracy: 17.06% |
| [2026-03-12 07:17:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [298/300] Train Time: 44.15s | Val Time: 13.89s |
| Train Acc: @1:96.23% @5:99.21% | Loss: 1.0482 |
| Val Acc: @1:17.06% @5:42.55% | Loss: 3.8108 |
| [2026-03-12 07:18:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [299/300] Train Time: 44.24s | Val Time: 13.86s |
| Train Acc: @1:97.22% @5:99.21% | Loss: 1.0339 |
| Val Acc: @1:17.16% @5:42.55% | Loss: 3.8093 |
| [2026-03-12 07:18:31 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 299, accuracy: 17.16% |
| [2026-03-12 07:19:35 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [300/300] Train Time: 44.23s | Val Time: 13.88s |
| Train Acc: @1:96.13% @5:99.11% | Loss: 1.0524 |
| Val Acc: @1:17.16% @5:42.84% | Loss: 3.8078 |
|
|
