| [2026-03-12 11:52:19 LinearSpectre] (3675809339.py 65): INFO LinearSpectre( |
| (patch_embed): V2PatchEmbed( |
| (proj): Sequential( |
| (0): Conv2d(3, 96, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) |
| (1): LayerNorm2d((96,), eps=1e-05, elementwise_affine=True) |
| (2): SiLU() |
| (3): Conv2d(96, 192, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) |
| (4): LayerNorm2d((192,), eps=1e-05, elementwise_affine=True) |
| (5): 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 11:52:19 LinearSpectre] (3675809339.py 69): INFO Trainable parameters: 8465310 |
| [2026-03-12 11:52:19 LinearSpectre] (920838639.py 22): INFO No checkpoint found, starting from scratch. |
| [2026-03-12 11:53:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [1/300] Train Time: 63.34s | Val Time: 14.88s |
| Train Acc: @1:0.79% @5:4.76% | Loss: 4.5861 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6381 |
| [2026-03-12 11:53:38 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 1, accuracy: 0.78% |
| [2026-03-12 11:54:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [2/300] Train Time: 45.69s | Val Time: 14.05s |
| Train Acc: @1:0.99% @5:5.06% | Loss: 4.5759 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6380 |
| [2026-03-12 11:55:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [3/300] Train Time: 45.74s | Val Time: 14.03s |
| Train Acc: @1:1.29% @5:6.05% | Loss: 4.5669 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6375 |
| [2026-03-12 11:56:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [4/300] Train Time: 45.70s | Val Time: 14.05s |
| Train Acc: @1:1.79% @5:10.81% | Loss: 4.4754 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6366 |
| [2026-03-12 11:57:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [5/300] Train Time: 45.73s | Val Time: 14.07s |
| Train Acc: @1:3.17% @5:12.80% | Loss: 4.3662 |
| Val Acc: @1:0.78% @5:5.10% | Loss: 4.6354 |
| [2026-03-12 11:58:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [6/300] Train Time: 45.75s | Val Time: 14.10s |
| Train Acc: @1:4.17% @5:16.87% | Loss: 4.2735 |
| Val Acc: @1:0.78% @5:5.39% | Loss: 4.6339 |
| [2026-03-12 11:59:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [7/300] Train Time: 45.73s | Val Time: 14.12s |
| Train Acc: @1:4.37% @5:16.96% | Loss: 4.1814 |
| Val Acc: @1:0.78% @5:5.39% | Loss: 4.6322 |
| [2026-03-12 12:00:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [8/300] Train Time: 46.45s | Val Time: 14.09s |
| Train Acc: @1:4.76% @5:18.85% | Loss: 4.1640 |
| Val Acc: @1:0.78% @5:5.39% | Loss: 4.6302 |
| [2026-03-12 12:01:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [9/300] Train Time: 45.76s | Val Time: 14.09s |
| Train Acc: @1:5.75% @5:21.83% | Loss: 4.0859 |
| Val Acc: @1:0.69% @5:5.59% | Loss: 4.6281 |
| [2026-03-12 12:02:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [10/300] Train Time: 45.78s | Val Time: 14.10s |
| Train Acc: @1:6.25% @5:23.12% | Loss: 4.0991 |
| Val Acc: @1:0.69% @5:5.69% | Loss: 4.6258 |
| [2026-03-12 12:04:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [11/300] Train Time: 45.85s | Val Time: 14.09s |
| Train Acc: @1:5.75% @5:23.91% | Loss: 4.0796 |
| Val Acc: @1:0.69% @5:5.78% | Loss: 4.6234 |
| [2026-03-12 12:05:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [12/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:7.94% @5:27.58% | Loss: 4.0080 |
| Val Acc: @1:0.69% @5:6.08% | Loss: 4.6208 |
| [2026-03-12 12:06:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [13/300] Train Time: 45.74s | Val Time: 14.11s |
| Train Acc: @1:6.45% @5:27.08% | Loss: 3.9981 |
| Val Acc: @1:0.69% @5:6.08% | Loss: 4.6180 |
| [2026-03-12 12:07:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [14/300] Train Time: 45.78s | Val Time: 14.06s |
| Train Acc: @1:7.34% @5:26.69% | Loss: 3.9970 |
| Val Acc: @1:0.69% @5:6.47% | Loss: 4.6151 |
| [2026-03-12 12:08:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [15/300] Train Time: 45.78s | Val Time: 14.10s |
| Train Acc: @1:5.85% @5:25.60% | Loss: 4.0027 |
| Val Acc: @1:0.78% @5:6.57% | Loss: 4.6120 |
| [2026-03-12 12:09:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [16/300] Train Time: 45.79s | Val Time: 14.09s |
| Train Acc: @1:8.33% @5:27.38% | Loss: 3.9946 |
| Val Acc: @1:0.69% @5:6.76% | Loss: 4.6088 |
| [2026-03-12 12:10:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [17/300] Train Time: 45.76s | Val Time: 14.05s |
| Train Acc: @1:8.04% @5:29.37% | Loss: 3.9345 |
| Val Acc: @1:0.69% @5:6.96% | Loss: 4.6054 |
| [2026-03-12 12:11:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [18/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:9.72% @5:32.24% | Loss: 3.9142 |
| Val Acc: @1:0.78% @5:7.55% | Loss: 4.6019 |
| [2026-03-12 12:12:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [19/300] Train Time: 45.77s | Val Time: 14.06s |
| Train Acc: @1:9.42% @5:30.75% | Loss: 3.9167 |
| Val Acc: @1:0.88% @5:7.65% | Loss: 4.5983 |
| [2026-03-12 12:12:24 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 19, accuracy: 0.88% |
| [2026-03-12 12:13:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [20/300] Train Time: 45.80s | Val Time: 14.08s |
| Train Acc: @1:7.54% @5:29.86% | Loss: 3.9201 |
| Val Acc: @1:1.18% @5:7.75% | Loss: 4.5946 |
| [2026-03-12 12:13:48 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 20, accuracy: 1.18% |
| [2026-03-12 12:14:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [21/300] Train Time: 45.79s | Val Time: 14.07s |
| Train Acc: @1:9.62% @5:30.26% | Loss: 3.9006 |
| Val Acc: @1:1.37% @5:8.04% | Loss: 4.5908 |
| [2026-03-12 12:14:57 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 21, accuracy: 1.37% |
| [2026-03-12 12:16:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [22/300] Train Time: 45.80s | Val Time: 14.09s |
| Train Acc: @1:8.93% @5:32.44% | Loss: 3.8888 |
| Val Acc: @1:1.47% @5:8.24% | Loss: 4.5869 |
| [2026-03-12 12:16:12 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 22, accuracy: 1.47% |
| [2026-03-12 12:17:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [23/300] Train Time: 45.75s | Val Time: 14.08s |
| Train Acc: @1:9.23% @5:32.64% | Loss: 3.9066 |
| Val Acc: @1:1.57% @5:8.33% | Loss: 4.5828 |
| [2026-03-12 12:17:24 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 23, accuracy: 1.57% |
| [2026-03-12 12:18:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [24/300] Train Time: 45.81s | Val Time: 14.10s |
| Train Acc: @1:9.72% @5:33.73% | Loss: 3.8459 |
| Val Acc: @1:1.67% @5:8.82% | Loss: 4.5786 |
| [2026-03-12 12:18:36 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 24, accuracy: 1.67% |
| [2026-03-12 12:19:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [25/300] Train Time: 45.82s | Val Time: 14.08s |
| Train Acc: @1:8.93% @5:32.34% | Loss: 3.8882 |
| Val Acc: @1:2.06% @5:9.12% | Loss: 4.5742 |
| [2026-03-12 12:19:54 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 25, accuracy: 2.06% |
| [2026-03-12 12:21:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [26/300] Train Time: 45.83s | Val Time: 14.09s |
| Train Acc: @1:9.62% @5:32.94% | Loss: 3.8687 |
| Val Acc: @1:2.25% @5:9.22% | Loss: 4.5699 |
| [2026-03-12 12:21:04 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 26, accuracy: 2.25% |
| [2026-03-12 12:22:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [27/300] Train Time: 45.76s | Val Time: 14.10s |
| Train Acc: @1:10.02% @5:34.52% | Loss: 3.8375 |
| Val Acc: @1:2.25% @5:9.51% | Loss: 4.5654 |
| [2026-03-12 12:23:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [28/300] Train Time: 45.80s | Val Time: 14.09s |
| Train Acc: @1:8.83% @5:33.63% | Loss: 3.8799 |
| Val Acc: @1:2.45% @5:10.10% | Loss: 4.5608 |
| [2026-03-12 12:23:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 28, accuracy: 2.45% |
| [2026-03-12 12:24:17 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [29/300] Train Time: 45.82s | Val Time: 14.09s |
| Train Acc: @1:9.03% @5:32.04% | Loss: 3.8671 |
| Val Acc: @1:2.65% @5:10.88% | Loss: 4.5562 |
| [2026-03-12 12:24:18 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 29, accuracy: 2.65% |
| [2026-03-12 12:25:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [30/300] Train Time: 45.96s | Val Time: 14.09s |
| Train Acc: @1:10.71% @5:33.93% | Loss: 3.8350 |
| Val Acc: @1:2.75% @5:11.47% | Loss: 4.5515 |
| [2026-03-12 12:25:31 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 30, accuracy: 2.75% |
| [2026-03-12 12:26:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [31/300] Train Time: 45.82s | Val Time: 14.09s |
| Train Acc: @1:10.52% @5:36.31% | Loss: 3.7913 |
| Val Acc: @1:2.84% @5:11.86% | Loss: 4.5468 |
| [2026-03-12 12:26:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 31, accuracy: 2.84% |
| [2026-03-12 12:27:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [32/300] Train Time: 45.77s | Val Time: 14.09s |
| Train Acc: @1:10.52% @5:36.90% | Loss: 3.8019 |
| Val Acc: @1:3.04% @5:11.86% | Loss: 4.5420 |
| [2026-03-12 12:27:58 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 32, accuracy: 3.04% |
| [2026-03-12 12:29:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [33/300] Train Time: 45.80s | Val Time: 14.08s |
| Train Acc: @1:12.50% @5:35.52% | Loss: 3.8087 |
| Val Acc: @1:3.24% @5:11.86% | Loss: 4.5371 |
| [2026-03-12 12:29:04 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 33, accuracy: 3.24% |
| [2026-03-12 12:30:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [34/300] Train Time: 45.81s | Val Time: 14.11s |
| Train Acc: @1:10.71% @5:35.12% | Loss: 3.7787 |
| Val Acc: @1:3.63% @5:11.86% | Loss: 4.5322 |
| [2026-03-12 12:30:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 34, accuracy: 3.63% |
| [2026-03-12 12:31:18 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [35/300] Train Time: 46.56s | Val Time: 14.09s |
| Train Acc: @1:11.51% @5:38.00% | Loss: 3.7502 |
| Val Acc: @1:3.92% @5:12.06% | Loss: 4.5271 |
| [2026-03-12 12:31:26 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 35, accuracy: 3.92% |
| [2026-03-12 12:32:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [36/300] Train Time: 45.83s | Val Time: 14.10s |
| Train Acc: @1:11.31% @5:36.11% | Loss: 3.7631 |
| Val Acc: @1:4.02% @5:12.35% | Loss: 4.5220 |
| [2026-03-12 12:32:34 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 36, accuracy: 4.02% |
| [2026-03-12 12:33:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [37/300] Train Time: 45.87s | Val Time: 14.07s |
| Train Acc: @1:12.20% @5:36.81% | Loss: 3.7558 |
| Val Acc: @1:4.02% @5:12.65% | Loss: 4.5168 |
| [2026-03-12 12:34:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [38/300] Train Time: 45.79s | Val Time: 14.11s |
| Train Acc: @1:12.40% @5:38.00% | Loss: 3.7537 |
| Val Acc: @1:3.92% @5:12.84% | Loss: 4.5115 |
| [2026-03-12 12:35:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [39/300] Train Time: 45.82s | Val Time: 14.10s |
| Train Acc: @1:12.60% @5:38.19% | Loss: 3.7420 |
| Val Acc: @1:3.92% @5:13.14% | Loss: 4.5060 |
| [2026-03-12 12:36:41 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [40/300] Train Time: 45.86s | Val Time: 14.08s |
| Train Acc: @1:12.60% @5:38.39% | Loss: 3.7322 |
| Val Acc: @1:3.82% @5:13.73% | Loss: 4.5005 |
| [2026-03-12 12:37:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [41/300] Train Time: 45.79s | Val Time: 14.10s |
| Train Acc: @1:12.50% @5:38.19% | Loss: 3.7575 |
| Val Acc: @1:3.92% @5:13.82% | Loss: 4.4949 |
| [2026-03-12 12:38:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [42/300] Train Time: 45.83s | Val Time: 14.08s |
| Train Acc: @1:12.80% @5:38.49% | Loss: 3.7363 |
| Val Acc: @1:4.02% @5:13.92% | Loss: 4.4893 |
| [2026-03-12 12:39:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [43/300] Train Time: 45.77s | Val Time: 14.07s |
| Train Acc: @1:12.10% @5:39.98% | Loss: 3.6986 |
| Val Acc: @1:4.02% @5:13.92% | Loss: 4.4838 |
| [2026-03-12 12:40:49 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [44/300] Train Time: 45.75s | Val Time: 14.08s |
| Train Acc: @1:13.69% @5:39.09% | Loss: 3.6883 |
| Val Acc: @1:4.41% @5:14.02% | Loss: 4.4781 |
| [2026-03-12 12:40:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 44, accuracy: 4.41% |
| [2026-03-12 12:41:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [45/300] Train Time: 45.79s | Val Time: 14.11s |
| Train Acc: @1:13.59% @5:40.28% | Loss: 3.6753 |
| Val Acc: @1:4.51% @5:14.02% | Loss: 4.4723 |
| [2026-03-12 12:42:03 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 45, accuracy: 4.51% |
| [2026-03-12 12:43:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [46/300] Train Time: 45.70s | Val Time: 14.06s |
| Train Acc: @1:14.38% @5:40.28% | Loss: 3.6527 |
| Val Acc: @1:4.51% @5:14.41% | Loss: 4.4662 |
| [2026-03-12 12:44:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [47/300] Train Time: 45.81s | Val Time: 14.07s |
| Train Acc: @1:14.09% @5:40.58% | Loss: 3.6645 |
| Val Acc: @1:4.31% @5:14.61% | Loss: 4.4601 |
| [2026-03-12 12:45:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [48/300] Train Time: 45.78s | Val Time: 14.11s |
| Train Acc: @1:13.69% @5:42.76% | Loss: 3.6273 |
| Val Acc: @1:4.51% @5:14.80% | Loss: 4.4540 |
| [2026-03-12 12:46:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [49/300] Train Time: 45.97s | Val Time: 14.09s |
| Train Acc: @1:15.28% @5:42.36% | Loss: 3.6458 |
| Val Acc: @1:4.22% @5:15.20% | Loss: 4.4478 |
| [2026-03-12 12:47:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [50/300] Train Time: 45.81s | Val Time: 14.06s |
| Train Acc: @1:14.88% @5:41.57% | Loss: 3.6368 |
| Val Acc: @1:4.02% @5:15.69% | Loss: 4.4417 |
| [2026-03-12 12:48:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [51/300] Train Time: 45.84s | Val Time: 14.06s |
| Train Acc: @1:15.87% @5:40.08% | Loss: 3.6412 |
| Val Acc: @1:4.02% @5:15.59% | Loss: 4.4356 |
| [2026-03-12 12:49:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [52/300] Train Time: 45.80s | Val Time: 14.06s |
| Train Acc: @1:15.97% @5:42.96% | Loss: 3.5681 |
| Val Acc: @1:4.31% @5:15.39% | Loss: 4.4296 |
| [2026-03-12 12:50:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [53/300] Train Time: 45.76s | Val Time: 14.06s |
| Train Acc: @1:15.58% @5:44.25% | Loss: 3.6250 |
| Val Acc: @1:4.31% @5:15.69% | Loss: 4.4238 |
| [2026-03-12 12:51:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [54/300] Train Time: 45.70s | Val Time: 14.06s |
| Train Acc: @1:16.27% @5:42.06% | Loss: 3.5824 |
| Val Acc: @1:4.41% @5:16.27% | Loss: 4.4180 |
| [2026-03-12 12:52:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [55/300] Train Time: 45.75s | Val Time: 14.06s |
| Train Acc: @1:17.96% @5:43.65% | Loss: 3.5534 |
| Val Acc: @1:4.71% @5:16.86% | Loss: 4.4123 |
| [2026-03-12 12:52:36 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 55, accuracy: 4.71% |
| [2026-03-12 12:53:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [56/300] Train Time: 45.77s | Val Time: 14.07s |
| Train Acc: @1:17.46% @5:47.02% | Loss: 3.5262 |
| Val Acc: @1:5.00% @5:17.16% | Loss: 4.4068 |
| [2026-03-12 12:53:44 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 56, accuracy: 5.00% |
| [2026-03-12 12:54:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [57/300] Train Time: 45.75s | Val Time: 14.07s |
| Train Acc: @1:16.17% @5:45.54% | Loss: 3.5379 |
| Val Acc: @1:5.10% @5:17.16% | Loss: 4.4015 |
| [2026-03-12 12:54:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 57, accuracy: 5.10% |
| [2026-03-12 12:55:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [58/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:17.06% @5:46.43% | Loss: 3.5320 |
| Val Acc: @1:5.10% @5:17.25% | Loss: 4.3963 |
| [2026-03-12 12:56:58 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [59/300] Train Time: 45.78s | Val Time: 14.08s |
| Train Acc: @1:16.67% @5:44.84% | Loss: 3.5198 |
| Val Acc: @1:5.20% @5:18.24% | Loss: 4.3913 |
| [2026-03-12 12:56:59 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 59, accuracy: 5.20% |
| [2026-03-12 12:58:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [60/300] Train Time: 45.78s | Val Time: 14.07s |
| Train Acc: @1:17.16% @5:47.02% | Loss: 3.5108 |
| Val Acc: @1:4.71% @5:18.04% | Loss: 4.3863 |
| [2026-03-12 12:59:11 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [61/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:19.05% @5:47.42% | Loss: 3.5043 |
| Val Acc: @1:4.71% @5:18.04% | Loss: 4.3817 |
| [2026-03-12 13:00:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [62/300] Train Time: 46.43s | Val Time: 14.13s |
| Train Acc: @1:19.15% @5:47.12% | Loss: 3.4899 |
| Val Acc: @1:4.90% @5:18.33% | Loss: 4.3769 |
| [2026-03-12 13:01:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [63/300] Train Time: 45.77s | Val Time: 14.08s |
| Train Acc: @1:18.06% @5:47.62% | Loss: 3.4676 |
| Val Acc: @1:5.10% @5:18.43% | Loss: 4.3723 |
| [2026-03-12 13:02:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [64/300] Train Time: 45.72s | Val Time: 14.06s |
| Train Acc: @1:19.05% @5:47.62% | Loss: 3.4575 |
| Val Acc: @1:5.10% @5:19.02% | Loss: 4.3677 |
| [2026-03-12 13:03:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [65/300] Train Time: 45.75s | Val Time: 14.06s |
| Train Acc: @1:18.65% @5:47.22% | Loss: 3.4726 |
| Val Acc: @1:5.00% @5:18.73% | Loss: 4.3631 |
| [2026-03-12 13:04:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [66/300] Train Time: 45.77s | Val Time: 14.06s |
| Train Acc: @1:19.94% @5:48.71% | Loss: 3.4206 |
| Val Acc: @1:4.90% @5:19.12% | Loss: 4.3587 |
| [2026-03-12 13:05:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [67/300] Train Time: 45.75s | Val Time: 14.08s |
| Train Acc: @1:22.32% @5:52.18% | Loss: 3.3921 |
| Val Acc: @1:4.71% @5:19.12% | Loss: 4.3543 |
| [2026-03-12 13:06:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [68/300] Train Time: 45.72s | Val Time: 14.09s |
| Train Acc: @1:18.95% @5:48.21% | Loss: 3.4511 |
| Val Acc: @1:4.71% @5:19.22% | Loss: 4.3497 |
| [2026-03-12 13:07:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [69/300] Train Time: 45.73s | Val Time: 14.04s |
| Train Acc: @1:20.93% @5:51.69% | Loss: 3.3908 |
| Val Acc: @1:4.31% @5:19.80% | Loss: 4.3452 |
| [2026-03-12 13:08:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [70/300] Train Time: 45.76s | Val Time: 14.05s |
| Train Acc: @1:19.74% @5:51.59% | Loss: 3.3831 |
| Val Acc: @1:4.22% @5:20.00% | Loss: 4.3410 |
| [2026-03-12 13:09:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [71/300] Train Time: 45.73s | Val Time: 14.09s |
| Train Acc: @1:21.92% @5:51.19% | Loss: 3.3537 |
| Val Acc: @1:4.31% @5:19.80% | Loss: 4.3367 |
| [2026-03-12 13:10:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [72/300] Train Time: 45.72s | Val Time: 14.05s |
| Train Acc: @1:19.94% @5:51.69% | Loss: 3.4066 |
| Val Acc: @1:4.22% @5:20.10% | Loss: 4.3323 |
| [2026-03-12 13:11:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [73/300] Train Time: 45.67s | Val Time: 13.99s |
| Train Acc: @1:22.02% @5:53.17% | Loss: 3.3489 |
| Val Acc: @1:4.22% @5:20.39% | Loss: 4.3283 |
| [2026-03-12 13:12:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [74/300] Train Time: 45.66s | Val Time: 13.99s |
| Train Acc: @1:23.51% @5:55.56% | Loss: 3.2759 |
| Val Acc: @1:4.31% @5:20.69% | Loss: 4.3244 |
| [2026-03-12 13:13:26 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [75/300] Train Time: 45.64s | Val Time: 13.98s |
| Train Acc: @1:25.10% @5:53.17% | Loss: 3.3263 |
| Val Acc: @1:4.51% @5:21.18% | Loss: 4.3207 |
| [2026-03-12 13:14:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [76/300] Train Time: 45.64s | Val Time: 14.00s |
| Train Acc: @1:20.93% @5:51.98% | Loss: 3.3568 |
| Val Acc: @1:4.51% @5:21.18% | Loss: 4.3170 |
| [2026-03-12 13:15:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [77/300] Train Time: 45.64s | Val Time: 14.01s |
| Train Acc: @1:22.72% @5:55.26% | Loss: 3.3282 |
| Val Acc: @1:4.71% @5:21.57% | Loss: 4.3136 |
| [2026-03-12 13:16:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [78/300] Train Time: 45.68s | Val Time: 13.98s |
| Train Acc: @1:23.31% @5:54.37% | Loss: 3.3326 |
| Val Acc: @1:4.61% @5:21.67% | Loss: 4.3098 |
| [2026-03-12 13:17:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [79/300] Train Time: 45.62s | Val Time: 14.00s |
| Train Acc: @1:25.00% @5:56.05% | Loss: 3.2218 |
| Val Acc: @1:4.80% @5:21.86% | Loss: 4.3064 |
| [2026-03-12 13:18:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [80/300] Train Time: 45.70s | Val Time: 14.03s |
| Train Acc: @1:26.79% @5:57.34% | Loss: 3.2115 |
| Val Acc: @1:4.90% @5:22.25% | Loss: 4.3024 |
| [2026-03-12 13:19:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [81/300] Train Time: 45.72s | Val Time: 14.06s |
| Train Acc: @1:24.31% @5:56.15% | Loss: 3.2987 |
| Val Acc: @1:5.39% @5:22.25% | Loss: 4.2987 |
| [2026-03-12 13:19:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 81, accuracy: 5.39% |
| [2026-03-12 13:20:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [82/300] Train Time: 45.74s | Val Time: 14.03s |
| Train Acc: @1:25.69% @5:55.26% | Loss: 3.2535 |
| Val Acc: @1:5.20% @5:21.86% | Loss: 4.2949 |
| [2026-03-12 13:21:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [83/300] Train Time: 45.72s | Val Time: 14.04s |
| Train Acc: @1:28.47% @5:59.23% | Loss: 3.1588 |
| Val Acc: @1:5.69% @5:21.86% | Loss: 4.2913 |
| [2026-03-12 13:21:52 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 83, accuracy: 5.69% |
| [2026-03-12 13:22:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [84/300] Train Time: 45.72s | Val Time: 14.04s |
| Train Acc: @1:28.57% @5:58.93% | Loss: 3.1429 |
| Val Acc: @1:5.78% @5:21.96% | Loss: 4.2878 |
| [2026-03-12 13:22:57 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 84, accuracy: 5.78% |
| [2026-03-12 13:24:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [85/300] Train Time: 45.73s | Val Time: 14.03s |
| Train Acc: @1:27.78% @5:60.42% | Loss: 3.1378 |
| Val Acc: @1:5.88% @5:21.76% | Loss: 4.2841 |
| [2026-03-12 13:24:09 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 85, accuracy: 5.88% |
| [2026-03-12 13:25:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [86/300] Train Time: 45.69s | Val Time: 14.02s |
| Train Acc: @1:26.98% @5:61.51% | Loss: 3.0947 |
| Val Acc: @1:5.78% @5:21.86% | Loss: 4.2803 |
| [2026-03-12 13:26:17 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [87/300] Train Time: 45.74s | Val Time: 14.07s |
| Train Acc: @1:28.67% @5:58.53% | Loss: 3.1658 |
| Val Acc: @1:5.98% @5:22.16% | Loss: 4.2766 |
| [2026-03-12 13:26:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 87, accuracy: 5.98% |
| [2026-03-12 13:27:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [88/300] Train Time: 45.69s | Val Time: 14.02s |
| Train Acc: @1:28.17% @5:60.52% | Loss: 3.1500 |
| Val Acc: @1:5.98% @5:22.16% | Loss: 4.2729 |
| [2026-03-12 13:28:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [89/300] Train Time: 45.70s | Val Time: 14.04s |
| Train Acc: @1:28.77% @5:61.81% | Loss: 3.0889 |
| Val Acc: @1:5.98% @5:22.06% | Loss: 4.2692 |
| [2026-03-12 13:29:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [90/300] Train Time: 46.31s | Val Time: 14.04s |
| Train Acc: @1:28.27% @5:60.22% | Loss: 3.1217 |
| Val Acc: @1:5.88% @5:22.65% | Loss: 4.2654 |
| [2026-03-12 13:30:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [91/300] Train Time: 45.82s | Val Time: 14.11s |
| Train Acc: @1:31.85% @5:63.79% | Loss: 3.0137 |
| Val Acc: @1:5.78% @5:22.84% | Loss: 4.2616 |
| [2026-03-12 13:31:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [92/300] Train Time: 45.77s | Val Time: 14.15s |
| Train Acc: @1:30.36% @5:62.70% | Loss: 3.0009 |
| Val Acc: @1:5.88% @5:22.94% | Loss: 4.2577 |
| [2026-03-12 13:32:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [93/300] Train Time: 45.70s | Val Time: 14.01s |
| Train Acc: @1:32.14% @5:64.19% | Loss: 3.0033 |
| Val Acc: @1:5.98% @5:23.33% | Loss: 4.2539 |
| [2026-03-12 13:33:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [94/300] Train Time: 45.67s | Val Time: 13.99s |
| Train Acc: @1:32.64% @5:65.48% | Loss: 2.9885 |
| Val Acc: @1:5.98% @5:23.33% | Loss: 4.2496 |
| [2026-03-12 13:34:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [95/300] Train Time: 45.66s | Val Time: 14.00s |
| Train Acc: @1:33.73% @5:62.60% | Loss: 3.0126 |
| Val Acc: @1:5.98% @5:23.24% | Loss: 4.2456 |
| [2026-03-12 13:35:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [96/300] Train Time: 45.67s | Val Time: 13.99s |
| Train Acc: @1:30.65% @5:66.67% | Loss: 2.9944 |
| Val Acc: @1:6.18% @5:23.24% | Loss: 4.2418 |
| [2026-03-12 13:35:38 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 96, accuracy: 6.18% |
| [2026-03-12 13:36:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [97/300] Train Time: 45.70s | Val Time: 14.01s |
| Train Acc: @1:31.45% @5:65.38% | Loss: 2.9902 |
| Val Acc: @1:6.08% @5:23.33% | Loss: 4.2379 |
| [2026-03-12 13:37:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [98/300] Train Time: 45.70s | Val Time: 14.02s |
| Train Acc: @1:33.13% @5:67.76% | Loss: 2.9166 |
| Val Acc: @1:6.08% @5:23.82% | Loss: 4.2340 |
| [2026-03-12 13:38:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [99/300] Train Time: 45.62s | Val Time: 14.01s |
| Train Acc: @1:34.42% @5:67.36% | Loss: 2.9431 |
| Val Acc: @1:6.27% @5:24.02% | Loss: 4.2302 |
| [2026-03-12 13:38:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 99, accuracy: 6.27% |
| [2026-03-12 13:39:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [100/300] Train Time: 45.71s | Val Time: 14.00s |
| Train Acc: @1:33.33% @5:64.98% | Loss: 2.9359 |
| Val Acc: @1:6.76% @5:24.22% | Loss: 4.2265 |
| [2026-03-12 13:39:57 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 100, accuracy: 6.76% |
| [2026-03-12 13:41:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [101/300] Train Time: 45.71s | Val Time: 14.00s |
| Train Acc: @1:36.71% @5:68.06% | Loss: 2.8843 |
| Val Acc: @1:6.76% @5:24.61% | Loss: 4.2230 |
| [2026-03-12 13:42:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [102/300] Train Time: 45.68s | Val Time: 14.01s |
| Train Acc: @1:35.71% @5:67.06% | Loss: 2.9061 |
| Val Acc: @1:6.57% @5:25.00% | Loss: 4.2195 |
| [2026-03-12 13:43:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [103/300] Train Time: 45.72s | Val Time: 14.17s |
| Train Acc: @1:33.73% @5:67.36% | Loss: 2.9041 |
| Val Acc: @1:6.67% @5:25.10% | Loss: 4.2160 |
| [2026-03-12 13:44:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [104/300] Train Time: 45.71s | Val Time: 14.03s |
| Train Acc: @1:37.60% @5:70.14% | Loss: 2.8212 |
| Val Acc: @1:6.57% @5:25.29% | Loss: 4.2124 |
| [2026-03-12 13:45:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [105/300] Train Time: 45.69s | Val Time: 14.01s |
| Train Acc: @1:39.98% @5:70.83% | Loss: 2.7888 |
| Val Acc: @1:6.76% @5:25.49% | Loss: 4.2088 |
| [2026-03-12 13:46:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [106/300] Train Time: 45.73s | Val Time: 14.02s |
| Train Acc: @1:36.41% @5:69.35% | Loss: 2.8467 |
| Val Acc: @1:6.67% @5:25.88% | Loss: 4.2051 |
| [2026-03-12 13:47:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [107/300] Train Time: 45.67s | Val Time: 14.00s |
| Train Acc: @1:37.10% @5:70.54% | Loss: 2.7815 |
| Val Acc: @1:6.67% @5:25.98% | Loss: 4.2014 |
| [2026-03-12 13:48:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [108/300] Train Time: 45.65s | Val Time: 14.03s |
| Train Acc: @1:37.70% @5:70.44% | Loss: 2.7925 |
| Val Acc: @1:6.76% @5:26.18% | Loss: 4.1981 |
| [2026-03-12 13:49:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [109/300] Train Time: 45.67s | Val Time: 13.99s |
| Train Acc: @1:38.49% @5:71.03% | Loss: 2.7995 |
| Val Acc: @1:6.86% @5:26.37% | Loss: 4.1946 |
| [2026-03-12 13:49:10 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 109, accuracy: 6.86% |
| [2026-03-12 13:50:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [110/300] Train Time: 45.66s | Val Time: 14.00s |
| Train Acc: @1:40.38% @5:73.02% | Loss: 2.7301 |
| Val Acc: @1:6.86% @5:26.37% | Loss: 4.1909 |
| [2026-03-12 13:51:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [111/300] Train Time: 45.69s | Val Time: 14.00s |
| Train Acc: @1:37.70% @5:71.73% | Loss: 2.7711 |
| Val Acc: @1:6.86% @5:26.57% | Loss: 4.1873 |
| [2026-03-12 13:52:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [112/300] Train Time: 45.65s | Val Time: 14.01s |
| Train Acc: @1:41.37% @5:72.42% | Loss: 2.6846 |
| Val Acc: @1:6.76% @5:26.57% | Loss: 4.1837 |
| [2026-03-12 13:53:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [113/300] Train Time: 45.69s | Val Time: 14.01s |
| Train Acc: @1:40.48% @5:74.31% | Loss: 2.6786 |
| Val Acc: @1:6.76% @5:26.96% | Loss: 4.1802 |
| [2026-03-12 13:54:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [114/300] Train Time: 45.69s | Val Time: 13.99s |
| Train Acc: @1:42.46% @5:74.80% | Loss: 2.6769 |
| Val Acc: @1:6.96% @5:26.86% | Loss: 4.1766 |
| [2026-03-12 13:54:23 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 114, accuracy: 6.96% |
| [2026-03-12 13:55:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [115/300] Train Time: 45.69s | Val Time: 13.99s |
| Train Acc: @1:41.17% @5:72.92% | Loss: 2.6769 |
| Val Acc: @1:6.96% @5:27.35% | Loss: 4.1734 |
| [2026-03-12 13:56:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [116/300] Train Time: 45.71s | Val Time: 14.00s |
| Train Acc: @1:45.54% @5:76.69% | Loss: 2.5691 |
| Val Acc: @1:6.96% @5:27.25% | Loss: 4.1704 |
| [2026-03-12 13:57:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [117/300] Train Time: 45.77s | Val Time: 13.99s |
| Train Acc: @1:44.44% @5:75.10% | Loss: 2.6185 |
| Val Acc: @1:6.96% @5:27.16% | Loss: 4.1670 |
| [2026-03-12 13:58:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [118/300] Train Time: 45.65s | Val Time: 14.01s |
| Train Acc: @1:43.55% @5:75.99% | Loss: 2.6060 |
| Val Acc: @1:6.86% @5:27.45% | Loss: 4.1636 |
| [2026-03-12 13:59:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [119/300] Train Time: 45.70s | Val Time: 13.97s |
| Train Acc: @1:43.95% @5:76.29% | Loss: 2.5992 |
| Val Acc: @1:6.96% @5:27.06% | Loss: 4.1603 |
| [2026-03-12 14:00:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [120/300] Train Time: 46.31s | Val Time: 14.00s |
| Train Acc: @1:45.14% @5:74.31% | Loss: 2.6212 |
| Val Acc: @1:7.06% @5:27.25% | Loss: 4.1567 |
| [2026-03-12 14:00:41 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 120, accuracy: 7.06% |
| [2026-03-12 14:01:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [121/300] Train Time: 45.70s | Val Time: 14.01s |
| Train Acc: @1:43.85% @5:75.79% | Loss: 2.6005 |
| Val Acc: @1:7.55% @5:27.45% | Loss: 4.1532 |
| [2026-03-12 14:01:49 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 121, accuracy: 7.55% |
| [2026-03-12 14:02:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [122/300] Train Time: 45.72s | Val Time: 14.01s |
| Train Acc: @1:46.63% @5:77.08% | Loss: 2.5506 |
| Val Acc: @1:7.65% @5:27.65% | Loss: 4.1496 |
| [2026-03-12 14:02:56 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 122, accuracy: 7.65% |
| [2026-03-12 14:04:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [123/300] Train Time: 45.74s | Val Time: 14.08s |
| Train Acc: @1:47.42% @5:78.47% | Loss: 2.5330 |
| Val Acc: @1:7.84% @5:27.75% | Loss: 4.1459 |
| [2026-03-12 14:04:03 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 123, accuracy: 7.84% |
| [2026-03-12 14:05:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [124/300] Train Time: 45.68s | Val Time: 13.99s |
| Train Acc: @1:49.21% @5:77.98% | Loss: 2.5138 |
| Val Acc: @1:8.14% @5:27.55% | Loss: 4.1421 |
| [2026-03-12 14:05:09 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 124, accuracy: 8.14% |
| [2026-03-12 14:06:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [125/300] Train Time: 45.71s | Val Time: 14.01s |
| Train Acc: @1:50.60% @5:79.17% | Loss: 2.4301 |
| Val Acc: @1:8.04% @5:27.75% | Loss: 4.1383 |
| [2026-03-12 14:07:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [126/300] Train Time: 45.71s | Val Time: 14.02s |
| Train Acc: @1:47.32% @5:79.17% | Loss: 2.4783 |
| Val Acc: @1:8.14% @5:27.94% | Loss: 4.1345 |
| [2026-03-12 14:08:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [127/300] Train Time: 45.71s | Val Time: 14.03s |
| Train Acc: @1:46.73% @5:76.09% | Loss: 2.5262 |
| Val Acc: @1:8.33% @5:28.14% | Loss: 4.1311 |
| [2026-03-12 14:08:23 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 127, accuracy: 8.33% |
| [2026-03-12 14:09:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [128/300] Train Time: 45.67s | Val Time: 14.00s |
| Train Acc: @1:53.27% @5:82.64% | Loss: 2.3620 |
| Val Acc: @1:8.24% @5:28.14% | Loss: 4.1275 |
| [2026-03-12 14:10:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [129/300] Train Time: 45.72s | Val Time: 14.02s |
| Train Acc: @1:50.10% @5:78.57% | Loss: 2.4706 |
| Val Acc: @1:8.14% @5:28.24% | Loss: 4.1242 |
| [2026-03-12 14:11:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [130/300] Train Time: 45.72s | Val Time: 14.02s |
| Train Acc: @1:50.60% @5:81.35% | Loss: 2.4019 |
| Val Acc: @1:8.43% @5:28.24% | Loss: 4.1207 |
| [2026-03-12 14:11:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 130, accuracy: 8.43% |
| [2026-03-12 14:12:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [131/300] Train Time: 45.69s | Val Time: 14.00s |
| Train Acc: @1:51.98% @5:79.86% | Loss: 2.4104 |
| Val Acc: @1:8.33% @5:28.53% | Loss: 4.1174 |
| [2026-03-12 14:13:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [132/300] Train Time: 45.69s | Val Time: 14.01s |
| Train Acc: @1:54.17% @5:82.04% | Loss: 2.3523 |
| Val Acc: @1:8.33% @5:28.53% | Loss: 4.1146 |
| [2026-03-12 14:14:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [133/300] Train Time: 45.64s | Val Time: 14.01s |
| Train Acc: @1:53.97% @5:81.75% | Loss: 2.3223 |
| Val Acc: @1:8.43% @5:28.43% | Loss: 4.1117 |
| [2026-03-12 14:15:44 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [134/300] Train Time: 45.68s | Val Time: 14.04s |
| Train Acc: @1:51.79% @5:81.25% | Loss: 2.3418 |
| Val Acc: @1:8.53% @5:28.63% | Loss: 4.1089 |
| [2026-03-12 14:15:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 134, accuracy: 8.53% |
| [2026-03-12 14:16:51 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [135/300] Train Time: 45.70s | Val Time: 14.01s |
| Train Acc: @1:51.09% @5:81.25% | Loss: 2.4209 |
| Val Acc: @1:8.53% @5:29.02% | Loss: 4.1058 |
| [2026-03-12 14:17:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [136/300] Train Time: 45.64s | Val Time: 13.99s |
| Train Acc: @1:56.94% @5:83.73% | Loss: 2.2749 |
| Val Acc: @1:8.73% @5:29.51% | Loss: 4.1029 |
| [2026-03-12 14:17:58 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 136, accuracy: 8.73% |
| [2026-03-12 14:19:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [137/300] Train Time: 45.65s | Val Time: 14.01s |
| Train Acc: @1:55.16% @5:83.04% | Loss: 2.2638 |
| Val Acc: @1:8.92% @5:29.80% | Loss: 4.1000 |
| [2026-03-12 14:19:05 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 137, accuracy: 8.92% |
| [2026-03-12 14:20:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [138/300] Train Time: 45.71s | Val Time: 14.04s |
| Train Acc: @1:56.35% @5:83.83% | Loss: 2.2061 |
| Val Acc: @1:9.02% @5:29.80% | Loss: 4.0970 |
| [2026-03-12 14:20:14 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 138, accuracy: 9.02% |
| [2026-03-12 14:21:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [139/300] Train Time: 45.68s | Val Time: 14.02s |
| Train Acc: @1:58.43% @5:84.13% | Loss: 2.2353 |
| Val Acc: @1:9.02% @5:29.80% | Loss: 4.0941 |
| [2026-03-12 14:22:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [140/300] Train Time: 45.74s | Val Time: 14.12s |
| Train Acc: @1:58.93% @5:83.04% | Loss: 2.2291 |
| Val Acc: @1:8.92% @5:30.20% | Loss: 4.0909 |
| [2026-03-12 14:23:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [141/300] Train Time: 45.74s | Val Time: 14.03s |
| Train Acc: @1:58.13% @5:83.63% | Loss: 2.2086 |
| Val Acc: @1:8.82% @5:30.39% | Loss: 4.0877 |
| [2026-03-12 14:24:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [142/300] Train Time: 45.65s | Val Time: 14.02s |
| Train Acc: @1:60.91% @5:86.61% | Loss: 2.1308 |
| Val Acc: @1:9.02% @5:30.78% | Loss: 4.0846 |
| [2026-03-12 14:25:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [143/300] Train Time: 45.71s | Val Time: 14.02s |
| Train Acc: @1:60.22% @5:84.82% | Loss: 2.1913 |
| Val Acc: @1:9.22% @5:31.27% | Loss: 4.0818 |
| [2026-03-12 14:25:31 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 143, accuracy: 9.22% |
| [2026-03-12 14:26:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [144/300] Train Time: 45.73s | Val Time: 14.03s |
| Train Acc: @1:61.31% @5:85.02% | Loss: 2.1421 |
| Val Acc: @1:9.51% @5:31.47% | Loss: 4.0786 |
| [2026-03-12 14:26:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 144, accuracy: 9.51% |
| [2026-03-12 14:27:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [145/300] Train Time: 45.73s | Val Time: 14.06s |
| Train Acc: @1:62.50% @5:84.82% | Loss: 2.1275 |
| Val Acc: @1:9.80% @5:31.47% | Loss: 4.0757 |
| [2026-03-12 14:27:53 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 145, accuracy: 9.80% |
| [2026-03-12 14:29:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [146/300] Train Time: 45.84s | Val Time: 14.04s |
| Train Acc: @1:63.39% @5:86.41% | Loss: 2.0841 |
| Val Acc: @1:9.71% @5:31.47% | Loss: 4.0729 |
| [2026-03-12 14:30:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [147/300] Train Time: 45.75s | Val Time: 14.03s |
| Train Acc: @1:61.41% @5:85.42% | Loss: 2.1013 |
| Val Acc: @1:9.61% @5:31.47% | Loss: 4.0702 |
| [2026-03-12 14:31:03 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [148/300] Train Time: 45.70s | Val Time: 14.07s |
| Train Acc: @1:63.99% @5:87.10% | Loss: 2.0701 |
| Val Acc: @1:9.71% @5:31.47% | Loss: 4.0672 |
| [2026-03-12 14:32:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [149/300] Train Time: 46.45s | Val Time: 14.09s |
| Train Acc: @1:62.20% @5:87.30% | Loss: 2.0920 |
| Val Acc: @1:9.71% @5:31.37% | Loss: 4.0641 |
| [2026-03-12 14:33:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [150/300] Train Time: 45.75s | Val Time: 14.08s |
| Train Acc: @1:62.70% @5:86.90% | Loss: 2.0885 |
| Val Acc: @1:9.71% @5:31.76% | Loss: 4.0610 |
| [2026-03-12 14:34:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [151/300] Train Time: 45.80s | Val Time: 14.22s |
| Train Acc: @1:65.28% @5:87.50% | Loss: 2.0053 |
| Val Acc: @1:9.80% @5:31.86% | Loss: 4.0580 |
| [2026-03-12 14:35:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [152/300] Train Time: 45.72s | Val Time: 14.05s |
| Train Acc: @1:65.87% @5:88.19% | Loss: 2.0005 |
| Val Acc: @1:9.61% @5:31.96% | Loss: 4.0551 |
| [2026-03-12 14:36:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [153/300] Train Time: 45.73s | Val Time: 14.04s |
| Train Acc: @1:67.46% @5:88.49% | Loss: 1.9843 |
| Val Acc: @1:9.71% @5:32.16% | Loss: 4.0525 |
| [2026-03-12 14:37:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [154/300] Train Time: 45.72s | Val Time: 14.05s |
| Train Acc: @1:67.96% @5:88.49% | Loss: 1.9642 |
| Val Acc: @1:9.71% @5:32.25% | Loss: 4.0500 |
| [2026-03-12 14:38:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [155/300] Train Time: 45.85s | Val Time: 14.02s |
| Train Acc: @1:66.67% @5:88.39% | Loss: 2.0189 |
| Val Acc: @1:9.80% @5:32.45% | Loss: 4.0477 |
| [2026-03-12 14:39:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [156/300] Train Time: 45.74s | Val Time: 14.08s |
| Train Acc: @1:67.36% @5:88.29% | Loss: 1.9666 |
| Val Acc: @1:9.80% @5:32.84% | Loss: 4.0452 |
| [2026-03-12 14:40:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [157/300] Train Time: 45.86s | Val Time: 14.02s |
| Train Acc: @1:67.76% @5:88.69% | Loss: 1.9613 |
| Val Acc: @1:9.80% @5:33.04% | Loss: 4.0426 |
| [2026-03-12 14:41:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [158/300] Train Time: 45.74s | Val Time: 14.04s |
| Train Acc: @1:69.35% @5:87.00% | Loss: 1.9373 |
| Val Acc: @1:10.10% @5:33.24% | Loss: 4.0401 |
| [2026-03-12 14:41:22 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 158, accuracy: 10.10% |
| [2026-03-12 14:42:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [159/300] Train Time: 45.77s | Val Time: 14.05s |
| Train Acc: @1:65.18% @5:87.10% | Loss: 2.0100 |
| Val Acc: @1:10.20% @5:33.43% | Loss: 4.0372 |
| [2026-03-12 14:42:30 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 159, accuracy: 10.20% |
| [2026-03-12 14:43:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [160/300] Train Time: 45.82s | Val Time: 14.04s |
| Train Acc: @1:69.35% @5:89.98% | Loss: 1.8943 |
| Val Acc: @1:10.29% @5:33.92% | Loss: 4.0344 |
| [2026-03-12 14:43:45 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 160, accuracy: 10.29% |
| [2026-03-12 14:44:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [161/300] Train Time: 45.72s | Val Time: 14.06s |
| Train Acc: @1:69.94% @5:87.80% | Loss: 1.8994 |
| Val Acc: @1:10.29% @5:33.82% | Loss: 4.0315 |
| [2026-03-12 14:45:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [162/300] Train Time: 45.73s | Val Time: 14.08s |
| Train Acc: @1:69.54% @5:87.60% | Loss: 1.9232 |
| Val Acc: @1:10.29% @5:33.63% | Loss: 4.0287 |
| [2026-03-12 14:46:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [163/300] Train Time: 45.78s | Val Time: 14.03s |
| Train Acc: @1:69.54% @5:89.09% | Loss: 1.9300 |
| Val Acc: @1:10.20% @5:33.82% | Loss: 4.0259 |
| [2026-03-12 14:47:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [164/300] Train Time: 45.71s | Val Time: 14.07s |
| Train Acc: @1:70.24% @5:89.78% | Loss: 1.8688 |
| Val Acc: @1:10.10% @5:34.12% | Loss: 4.0234 |
| [2026-03-12 14:48:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [165/300] Train Time: 45.74s | Val Time: 14.05s |
| Train Acc: @1:69.54% @5:92.16% | Loss: 1.8422 |
| Val Acc: @1:10.10% @5:34.31% | Loss: 4.0209 |
| [2026-03-12 14:50:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [166/300] Train Time: 45.69s | Val Time: 14.05s |
| Train Acc: @1:73.31% @5:90.67% | Loss: 1.7940 |
| Val Acc: @1:10.29% @5:34.61% | Loss: 4.0185 |
| [2026-03-12 14:51:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [167/300] Train Time: 45.75s | Val Time: 14.05s |
| Train Acc: @1:72.22% @5:90.18% | Loss: 1.8012 |
| Val Acc: @1:10.49% @5:34.90% | Loss: 4.0163 |
| [2026-03-12 14:51:01 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 167, accuracy: 10.49% |
| [2026-03-12 14:52:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [168/300] Train Time: 45.76s | Val Time: 14.05s |
| Train Acc: @1:74.40% @5:89.58% | Loss: 1.7851 |
| Val Acc: @1:10.78% @5:34.80% | Loss: 4.0141 |
| [2026-03-12 14:52:09 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 168, accuracy: 10.78% |
| [2026-03-12 14:53:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [169/300] Train Time: 45.76s | Val Time: 14.02s |
| Train Acc: @1:75.10% @5:91.67% | Loss: 1.7340 |
| Val Acc: @1:10.88% @5:35.00% | Loss: 4.0119 |
| [2026-03-12 14:53:17 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 169, accuracy: 10.88% |
| [2026-03-12 14:54:24 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [170/300] Train Time: 45.83s | Val Time: 14.04s |
| Train Acc: @1:76.49% @5:91.77% | Loss: 1.7217 |
| Val Acc: @1:10.88% @5:34.90% | Loss: 4.0097 |
| [2026-03-12 14:55:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [171/300] Train Time: 45.74s | Val Time: 14.07s |
| Train Acc: @1:73.61% @5:90.87% | Loss: 1.7646 |
| Val Acc: @1:10.88% @5:35.00% | Loss: 4.0077 |
| [2026-03-12 14:56:32 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [172/300] Train Time: 45.74s | Val Time: 14.02s |
| Train Acc: @1:73.51% @5:91.87% | Loss: 1.7348 |
| Val Acc: @1:10.88% @5:35.00% | Loss: 4.0056 |
| [2026-03-12 14:57:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [173/300] Train Time: 45.74s | Val Time: 14.04s |
| Train Acc: @1:76.09% @5:92.56% | Loss: 1.6891 |
| Val Acc: @1:10.69% @5:35.00% | Loss: 4.0033 |
| [2026-03-12 14:58:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [174/300] Train Time: 45.72s | Val Time: 14.01s |
| Train Acc: @1:75.30% @5:91.27% | Loss: 1.7595 |
| Val Acc: @1:10.69% @5:34.90% | Loss: 4.0011 |
| [2026-03-12 14:59:33 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [175/300] Train Time: 45.73s | Val Time: 14.05s |
| Train Acc: @1:74.80% @5:91.37% | Loss: 1.7381 |
| Val Acc: @1:10.69% @5:34.90% | Loss: 3.9992 |
| [2026-03-12 15:00:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [176/300] Train Time: 45.74s | Val Time: 14.04s |
| Train Acc: @1:74.70% @5:91.47% | Loss: 1.7252 |
| Val Acc: @1:10.69% @5:34.90% | Loss: 3.9971 |
| [2026-03-12 15:01:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [177/300] Train Time: 45.77s | Val Time: 14.04s |
| Train Acc: @1:76.49% @5:92.06% | Loss: 1.6886 |
| Val Acc: @1:10.88% @5:34.80% | Loss: 3.9953 |
| [2026-03-12 15:02:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [178/300] Train Time: 46.42s | Val Time: 14.03s |
| Train Acc: @1:75.20% @5:92.66% | Loss: 1.7138 |
| Val Acc: @1:10.88% @5:34.71% | Loss: 3.9934 |
| [2026-03-12 15:03:40 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [179/300] Train Time: 45.70s | Val Time: 14.02s |
| Train Acc: @1:76.19% @5:91.96% | Loss: 1.6985 |
| Val Acc: @1:10.98% @5:34.80% | Loss: 3.9915 |
| [2026-03-12 15:03:41 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 179, accuracy: 10.98% |
| [2026-03-12 15:04:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [180/300] Train Time: 45.73s | Val Time: 14.04s |
| Train Acc: @1:78.17% @5:92.46% | Loss: 1.6291 |
| Val Acc: @1:10.88% @5:34.80% | Loss: 3.9898 |
| [2026-03-12 15:05:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [181/300] Train Time: 45.73s | Val Time: 14.04s |
| Train Acc: @1:76.88% @5:92.66% | Loss: 1.6797 |
| Val Acc: @1:10.88% @5:34.90% | Loss: 3.9881 |
| [2026-03-12 15:06:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [182/300] Train Time: 45.76s | Val Time: 14.09s |
| Train Acc: @1:81.35% @5:94.74% | Loss: 1.5510 |
| Val Acc: @1:10.98% @5:35.00% | Loss: 3.9865 |
| [2026-03-12 15:07:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [183/300] Train Time: 45.75s | Val Time: 14.04s |
| Train Acc: @1:79.96% @5:93.35% | Loss: 1.6161 |
| Val Acc: @1:10.98% @5:34.71% | Loss: 3.9851 |
| [2026-03-12 15:08:56 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [184/300] Train Time: 45.72s | Val Time: 14.05s |
| Train Acc: @1:80.95% @5:93.65% | Loss: 1.5827 |
| Val Acc: @1:11.37% @5:34.51% | Loss: 3.9836 |
| [2026-03-12 15:08:57 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 184, accuracy: 11.37% |
| [2026-03-12 15:10:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [185/300] Train Time: 45.70s | Val Time: 14.02s |
| Train Acc: @1:79.37% @5:91.27% | Loss: 1.6257 |
| Val Acc: @1:11.47% @5:34.51% | Loss: 3.9822 |
| [2026-03-12 15:10:26 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 185, accuracy: 11.47% |
| [2026-03-12 15:11:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [186/300] Train Time: 45.71s | Val Time: 14.06s |
| Train Acc: @1:77.78% @5:91.87% | Loss: 1.6338 |
| Val Acc: @1:11.76% @5:34.71% | Loss: 3.9807 |
| [2026-03-12 15:11:38 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 186, accuracy: 11.76% |
| [2026-03-12 15:12:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [187/300] Train Time: 45.75s | Val Time: 14.09s |
| Train Acc: @1:82.24% @5:95.24% | Loss: 1.5314 |
| Val Acc: @1:11.86% @5:34.71% | Loss: 3.9793 |
| [2026-03-12 15:12:46 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 187, accuracy: 11.86% |
| [2026-03-12 15:13:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [188/300] Train Time: 45.74s | Val Time: 14.06s |
| Train Acc: @1:78.67% @5:92.96% | Loss: 1.6227 |
| Val Acc: @1:12.06% @5:34.61% | Loss: 3.9778 |
| [2026-03-12 15:13:54 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 188, accuracy: 12.06% |
| [2026-03-12 15:15:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [189/300] Train Time: 45.79s | Val Time: 14.05s |
| Train Acc: @1:82.94% @5:95.14% | Loss: 1.5025 |
| Val Acc: @1:11.96% @5:35.10% | Loss: 3.9764 |
| [2026-03-12 15:16:02 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [190/300] Train Time: 45.78s | Val Time: 14.05s |
| Train Acc: @1:80.95% @5:93.55% | Loss: 1.5728 |
| Val Acc: @1:11.96% @5:35.29% | Loss: 3.9752 |
| [2026-03-12 15:17:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [191/300] Train Time: 45.75s | Val Time: 14.10s |
| Train Acc: @1:83.93% @5:95.34% | Loss: 1.4896 |
| Val Acc: @1:12.06% @5:35.39% | Loss: 3.9738 |
| [2026-03-12 15:18:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [192/300] Train Time: 45.74s | Val Time: 14.05s |
| Train Acc: @1:82.44% @5:93.35% | Loss: 1.5270 |
| Val Acc: @1:12.06% @5:35.39% | Loss: 3.9725 |
| [2026-03-12 15:19:09 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [193/300] Train Time: 45.76s | Val Time: 14.06s |
| Train Acc: @1:82.74% @5:94.94% | Loss: 1.5143 |
| Val Acc: @1:12.16% @5:35.29% | Loss: 3.9713 |
| [2026-03-12 15:19:10 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 193, accuracy: 12.16% |
| [2026-03-12 15:20:16 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [194/300] Train Time: 45.73s | Val Time: 14.06s |
| Train Acc: @1:82.94% @5:93.85% | Loss: 1.5125 |
| Val Acc: @1:12.35% @5:35.39% | Loss: 3.9702 |
| [2026-03-12 15:20:16 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 194, accuracy: 12.35% |
| [2026-03-12 15:21:23 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [195/300] Train Time: 45.69s | Val Time: 14.06s |
| Train Acc: @1:85.12% @5:95.04% | Loss: 1.4526 |
| Val Acc: @1:12.45% @5:35.59% | Loss: 3.9691 |
| [2026-03-12 15:21:31 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 195, accuracy: 12.45% |
| [2026-03-12 15:22:38 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [196/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:82.54% @5:95.14% | Loss: 1.4712 |
| Val Acc: @1:12.55% @5:35.59% | Loss: 3.9681 |
| [2026-03-12 15:22:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 196, accuracy: 12.55% |
| [2026-03-12 15:23:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [197/300] Train Time: 45.73s | Val Time: 14.02s |
| Train Acc: @1:86.81% @5:96.13% | Loss: 1.4099 |
| Val Acc: @1:12.35% @5:35.59% | Loss: 3.9671 |
| [2026-03-12 15:24:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [198/300] Train Time: 45.73s | Val Time: 14.06s |
| Train Acc: @1:84.52% @5:94.94% | Loss: 1.4482 |
| Val Acc: @1:12.35% @5:35.59% | Loss: 3.9660 |
| [2026-03-12 15:25:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [199/300] Train Time: 45.78s | Val Time: 14.14s |
| Train Acc: @1:85.62% @5:95.93% | Loss: 1.4429 |
| Val Acc: @1:12.35% @5:35.69% | Loss: 3.9650 |
| [2026-03-12 15:26:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [200/300] Train Time: 45.82s | Val Time: 14.06s |
| Train Acc: @1:85.52% @5:96.43% | Loss: 1.4051 |
| Val Acc: @1:12.35% @5:35.78% | Loss: 3.9641 |
| [2026-03-12 15:27:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [201/300] Train Time: 45.83s | Val Time: 14.05s |
| Train Acc: @1:84.13% @5:94.25% | Loss: 1.4837 |
| Val Acc: @1:12.45% @5:35.69% | Loss: 3.9631 |
| [2026-03-12 15:28:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [202/300] Train Time: 45.73s | Val Time: 14.01s |
| Train Acc: @1:86.61% @5:96.43% | Loss: 1.3951 |
| Val Acc: @1:12.45% @5:35.78% | Loss: 3.9621 |
| [2026-03-12 15:29:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [203/300] Train Time: 45.71s | Val Time: 14.03s |
| Train Acc: @1:85.42% @5:95.24% | Loss: 1.4556 |
| Val Acc: @1:12.55% @5:35.78% | Loss: 3.9612 |
| [2026-03-12 15:30:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [204/300] Train Time: 45.79s | Val Time: 14.01s |
| Train Acc: @1:85.52% @5:95.04% | Loss: 1.4365 |
| Val Acc: @1:12.45% @5:35.69% | Loss: 3.9603 |
| [2026-03-12 15:31:52 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [205/300] Train Time: 45.65s | Val Time: 14.03s |
| Train Acc: @1:84.92% @5:96.33% | Loss: 1.4198 |
| Val Acc: @1:12.35% @5:35.59% | Loss: 3.9595 |
| [2026-03-12 15:32:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [206/300] Train Time: 45.64s | Val Time: 14.04s |
| Train Acc: @1:85.62% @5:95.44% | Loss: 1.4373 |
| Val Acc: @1:12.25% @5:35.98% | Loss: 3.9588 |
| [2026-03-12 15:33:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [207/300] Train Time: 45.69s | Val Time: 14.02s |
| Train Acc: @1:85.42% @5:96.13% | Loss: 1.4089 |
| Val Acc: @1:12.25% @5:35.88% | Loss: 3.9580 |
| [2026-03-12 15:35:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [208/300] Train Time: 45.84s | Val Time: 14.03s |
| Train Acc: @1:85.42% @5:95.44% | Loss: 1.4272 |
| Val Acc: @1:12.35% @5:35.88% | Loss: 3.9572 |
| [2026-03-12 15:36:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [209/300] Train Time: 45.76s | Val Time: 14.01s |
| Train Acc: @1:88.10% @5:96.43% | Loss: 1.3369 |
| Val Acc: @1:12.55% @5:36.08% | Loss: 3.9563 |
| [2026-03-12 15:37:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [210/300] Train Time: 45.72s | Val Time: 14.08s |
| Train Acc: @1:86.90% @5:96.13% | Loss: 1.3741 |
| Val Acc: @1:12.65% @5:35.98% | Loss: 3.9556 |
| [2026-03-12 15:37:06 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 210, accuracy: 12.65% |
| [2026-03-12 15:38:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [211/300] Train Time: 45.73s | Val Time: 14.00s |
| Train Acc: @1:77.18% @5:92.46% | Loss: 1.6560 |
| Val Acc: @1:12.65% @5:35.98% | Loss: 3.9547 |
| [2026-03-12 15:39:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [212/300] Train Time: 45.73s | Val Time: 14.16s |
| Train Acc: @1:85.91% @5:95.73% | Loss: 1.3981 |
| Val Acc: @1:12.65% @5:35.88% | Loss: 3.9535 |
| [2026-03-12 15:40:15 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [213/300] Train Time: 45.74s | Val Time: 14.11s |
| Train Acc: @1:87.10% @5:96.92% | Loss: 1.3613 |
| Val Acc: @1:12.75% @5:35.78% | Loss: 3.9525 |
| [2026-03-12 15:40:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 213, accuracy: 12.75% |
| [2026-03-12 15:41:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [214/300] Train Time: 45.80s | Val Time: 14.17s |
| Train Acc: @1:87.20% @5:96.43% | Loss: 1.3630 |
| Val Acc: @1:12.84% @5:35.88% | Loss: 3.9515 |
| [2026-03-12 15:41:23 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 214, accuracy: 12.84% |
| [2026-03-12 15:42:28 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [215/300] Train Time: 45.68s | Val Time: 14.08s |
| Train Acc: @1:88.00% @5:97.42% | Loss: 1.3378 |
| Val Acc: @1:12.84% @5:35.98% | Loss: 3.9507 |
| [2026-03-12 15:43:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [216/300] Train Time: 45.77s | Val Time: 14.10s |
| Train Acc: @1:87.10% @5:96.33% | Loss: 1.3478 |
| Val Acc: @1:12.94% @5:36.08% | Loss: 3.9499 |
| [2026-03-12 15:43:36 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 216, accuracy: 12.94% |
| [2026-03-12 15:44:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [217/300] Train Time: 45.73s | Val Time: 14.20s |
| Train Acc: @1:88.39% @5:97.32% | Loss: 1.3271 |
| Val Acc: @1:12.94% @5:36.08% | Loss: 3.9490 |
| [2026-03-12 15:45:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [218/300] Train Time: 45.71s | Val Time: 14.02s |
| Train Acc: @1:87.30% @5:95.63% | Loss: 1.3497 |
| Val Acc: @1:13.04% @5:36.18% | Loss: 3.9481 |
| [2026-03-12 15:45:43 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 218, accuracy: 13.04% |
| [2026-03-12 15:46:48 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [219/300] Train Time: 45.72s | Val Time: 14.02s |
| Train Acc: @1:87.50% @5:95.93% | Loss: 1.3539 |
| Val Acc: @1:13.14% @5:36.47% | Loss: 3.9473 |
| [2026-03-12 15:46:49 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 219, accuracy: 13.14% |
| [2026-03-12 15:47:55 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [220/300] Train Time: 45.72s | Val Time: 14.04s |
| Train Acc: @1:90.67% @5:97.12% | Loss: 1.2893 |
| Val Acc: @1:13.14% @5:36.37% | Loss: 3.9465 |
| [2026-03-12 15:49:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [221/300] Train Time: 45.75s | Val Time: 14.02s |
| Train Acc: @1:88.99% @5:97.52% | Loss: 1.3245 |
| Val Acc: @1:13.14% @5:36.18% | Loss: 3.9458 |
| [2026-03-12 15:50:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [222/300] Train Time: 45.70s | Val Time: 14.03s |
| Train Acc: @1:88.99% @5:97.52% | Loss: 1.3059 |
| Val Acc: @1:13.04% @5:36.18% | Loss: 3.9451 |
| [2026-03-12 15:51:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [223/300] Train Time: 45.72s | Val Time: 14.00s |
| Train Acc: @1:90.97% @5:97.62% | Loss: 1.2594 |
| Val Acc: @1:12.94% @5:36.08% | Loss: 3.9445 |
| [2026-03-12 15:52:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [224/300] Train Time: 45.67s | Val Time: 14.01s |
| Train Acc: @1:89.29% @5:97.12% | Loss: 1.2920 |
| Val Acc: @1:12.94% @5:36.37% | Loss: 3.9438 |
| [2026-03-12 15:53:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [225/300] Train Time: 45.76s | Val Time: 14.05s |
| Train Acc: @1:89.78% @5:98.31% | Loss: 1.2941 |
| Val Acc: @1:13.14% @5:36.57% | Loss: 3.9432 |
| [2026-03-12 15:54:07 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [226/300] Train Time: 45.78s | Val Time: 14.08s |
| Train Acc: @1:91.77% @5:97.52% | Loss: 1.2614 |
| Val Acc: @1:13.14% @5:36.67% | Loss: 3.9425 |
| [2026-03-12 15:55:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [227/300] Train Time: 45.78s | Val Time: 14.06s |
| Train Acc: @1:88.69% @5:97.62% | Loss: 1.3006 |
| Val Acc: @1:13.14% @5:36.57% | Loss: 3.9418 |
| [2026-03-12 15:56:08 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [228/300] Train Time: 45.75s | Val Time: 14.10s |
| Train Acc: @1:90.38% @5:97.42% | Loss: 1.2664 |
| Val Acc: @1:13.24% @5:36.47% | Loss: 3.9412 |
| [2026-03-12 15:56:08 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 228, accuracy: 13.24% |
| [2026-03-12 15:57:14 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [229/300] Train Time: 45.84s | Val Time: 14.08s |
| Train Acc: @1:90.77% @5:97.82% | Loss: 1.2439 |
| Val Acc: @1:13.43% @5:36.57% | Loss: 3.9405 |
| [2026-03-12 15:57:15 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 229, accuracy: 13.43% |
| [2026-03-12 15:58:22 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [230/300] Train Time: 45.75s | Val Time: 14.10s |
| Train Acc: @1:89.98% @5:97.22% | Loss: 1.2804 |
| Val Acc: @1:13.43% @5:36.67% | Loss: 3.9399 |
| [2026-03-12 15:59:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [231/300] Train Time: 45.76s | Val Time: 14.08s |
| Train Acc: @1:90.58% @5:97.42% | Loss: 1.2635 |
| Val Acc: @1:13.43% @5:37.06% | Loss: 3.9392 |
| [2026-03-12 16:00:29 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [232/300] Train Time: 45.81s | Val Time: 14.11s |
| Train Acc: @1:91.77% @5:98.51% | Loss: 1.2155 |
| Val Acc: @1:13.53% @5:37.25% | Loss: 3.9386 |
| [2026-03-12 16:00:30 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 232, accuracy: 13.53% |
| [2026-03-12 16:01:37 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [233/300] Train Time: 45.82s | Val Time: 14.11s |
| Train Acc: @1:91.67% @5:97.82% | Loss: 1.2350 |
| Val Acc: @1:13.73% @5:37.06% | Loss: 3.9381 |
| [2026-03-12 16:01:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 233, accuracy: 13.73% |
| [2026-03-12 16:02:45 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [234/300] Train Time: 45.78s | Val Time: 14.12s |
| Train Acc: @1:91.27% @5:97.52% | Loss: 1.2607 |
| Val Acc: @1:13.73% @5:37.16% | Loss: 3.9375 |
| [2026-03-12 16:03:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [235/300] Train Time: 46.50s | Val Time: 14.14s |
| Train Acc: @1:91.67% @5:97.62% | Loss: 1.2529 |
| Val Acc: @1:13.73% @5:37.06% | Loss: 3.9370 |
| [2026-03-12 16:04:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [236/300] Train Time: 45.83s | Val Time: 14.10s |
| Train Acc: @1:92.06% @5:97.52% | Loss: 1.2131 |
| Val Acc: @1:13.73% @5:37.45% | Loss: 3.9363 |
| [2026-03-12 16:05:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [237/300] Train Time: 45.83s | Val Time: 14.10s |
| Train Acc: @1:92.36% @5:97.62% | Loss: 1.2346 |
| Val Acc: @1:13.73% @5:37.45% | Loss: 3.9358 |
| [2026-03-12 16:06:53 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [238/300] Train Time: 45.82s | Val Time: 14.11s |
| Train Acc: @1:92.06% @5:98.21% | Loss: 1.2136 |
| Val Acc: @1:13.73% @5:37.25% | Loss: 3.9352 |
| [2026-03-12 16:07:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [239/300] Train Time: 45.81s | Val Time: 14.10s |
| Train Acc: @1:91.87% @5:98.41% | Loss: 1.2281 |
| Val Acc: @1:13.73% @5:37.06% | Loss: 3.9347 |
| [2026-03-12 16:08:54 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [240/300] Train Time: 45.78s | Val Time: 14.10s |
| Train Acc: @1:91.67% @5:98.31% | Loss: 1.2214 |
| Val Acc: @1:13.73% @5:37.16% | Loss: 3.9341 |
| [2026-03-12 16:10:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [241/300] Train Time: 45.84s | Val Time: 14.10s |
| Train Acc: @1:92.76% @5:98.31% | Loss: 1.2031 |
| Val Acc: @1:13.73% @5:37.06% | Loss: 3.9336 |
| [2026-03-12 16:11:01 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [242/300] Train Time: 45.79s | Val Time: 14.07s |
| Train Acc: @1:92.46% @5:97.72% | Loss: 1.2129 |
| Val Acc: @1:13.82% @5:36.96% | Loss: 3.9330 |
| [2026-03-12 16:11:02 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 242, accuracy: 13.82% |
| [2026-03-12 16:12:10 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [243/300] Train Time: 45.83s | Val Time: 14.11s |
| Train Acc: @1:91.96% @5:97.82% | Loss: 1.2179 |
| Val Acc: @1:13.92% @5:37.25% | Loss: 3.9325 |
| [2026-03-12 16:12:11 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 243, accuracy: 13.92% |
| [2026-03-12 16:13:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [244/300] Train Time: 45.80s | Val Time: 14.10s |
| Train Acc: @1:91.67% @5:98.02% | Loss: 1.2180 |
| Val Acc: @1:13.92% @5:37.25% | Loss: 3.9319 |
| [2026-03-12 16:14:19 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [245/300] Train Time: 45.82s | Val Time: 14.06s |
| Train Acc: @1:93.06% @5:98.91% | Loss: 1.1929 |
| Val Acc: @1:13.92% @5:37.06% | Loss: 3.9313 |
| [2026-03-12 16:15:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [246/300] Train Time: 45.93s | Val Time: 14.07s |
| Train Acc: @1:92.56% @5:98.21% | Loss: 1.1914 |
| Val Acc: @1:13.82% @5:37.06% | Loss: 3.9307 |
| [2026-03-12 16:16:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [247/300] Train Time: 45.79s | Val Time: 14.07s |
| Train Acc: @1:93.45% @5:98.81% | Loss: 1.1607 |
| Val Acc: @1:13.92% @5:37.06% | Loss: 3.9301 |
| [2026-03-12 16:17:34 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [248/300] Train Time: 45.75s | Val Time: 14.12s |
| Train Acc: @1:93.15% @5:98.61% | Loss: 1.1719 |
| Val Acc: @1:14.02% @5:37.16% | Loss: 3.9296 |
| [2026-03-12 16:17:35 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 248, accuracy: 14.02% |
| [2026-03-12 16:18:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [249/300] Train Time: 45.84s | Val Time: 14.08s |
| Train Acc: @1:92.56% @5:98.12% | Loss: 1.1972 |
| Val Acc: @1:14.02% @5:37.25% | Loss: 3.9290 |
| [2026-03-12 16:19:42 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [250/300] Train Time: 45.73s | Val Time: 14.10s |
| Train Acc: @1:92.76% @5:98.02% | Loss: 1.1881 |
| Val Acc: @1:14.02% @5:37.35% | Loss: 3.9285 |
| [2026-03-12 16:20:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [251/300] Train Time: 45.81s | Val Time: 14.11s |
| Train Acc: @1:94.25% @5:99.01% | Loss: 1.1406 |
| Val Acc: @1:14.02% @5:37.45% | Loss: 3.9279 |
| [2026-03-12 16:21:50 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [252/300] Train Time: 45.81s | Val Time: 14.08s |
| Train Acc: @1:93.65% @5:98.02% | Loss: 1.1807 |
| Val Acc: @1:14.22% @5:37.55% | Loss: 3.9273 |
| [2026-03-12 16:21:51 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 252, accuracy: 14.22% |
| [2026-03-12 16:22:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [253/300] Train Time: 45.83s | Val Time: 14.13s |
| Train Acc: @1:91.57% @5:97.52% | Loss: 1.1967 |
| Val Acc: @1:14.22% @5:37.55% | Loss: 3.9267 |
| [2026-03-12 16:23:59 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [254/300] Train Time: 45.88s | Val Time: 14.08s |
| Train Acc: @1:92.06% @5:98.21% | Loss: 1.2138 |
| Val Acc: @1:14.22% @5:37.45% | Loss: 3.9261 |
| [2026-03-12 16:25:00 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [255/300] Train Time: 45.82s | Val Time: 14.09s |
| Train Acc: @1:92.46% @5:98.61% | Loss: 1.2022 |
| Val Acc: @1:14.12% @5:37.35% | Loss: 3.9256 |
| [2026-03-12 16:26:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [256/300] Train Time: 45.83s | Val Time: 14.10s |
| Train Acc: @1:93.35% @5:98.61% | Loss: 1.1736 |
| Val Acc: @1:14.02% @5:37.16% | Loss: 3.9250 |
| [2026-03-12 16:27:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [257/300] Train Time: 45.81s | Val Time: 14.10s |
| Train Acc: @1:93.45% @5:98.71% | Loss: 1.1667 |
| Val Acc: @1:14.12% @5:37.25% | Loss: 3.9244 |
| [2026-03-12 16:28:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [258/300] Train Time: 45.84s | Val Time: 14.09s |
| Train Acc: @1:93.65% @5:98.41% | Loss: 1.1797 |
| Val Acc: @1:14.12% @5:37.16% | Loss: 3.9239 |
| [2026-03-12 16:29:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [259/300] Train Time: 45.82s | Val Time: 14.11s |
| Train Acc: @1:92.56% @5:99.01% | Loss: 1.1876 |
| Val Acc: @1:14.12% @5:36.96% | Loss: 3.9233 |
| [2026-03-12 16:30:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [260/300] Train Time: 45.78s | Val Time: 14.08s |
| Train Acc: @1:93.65% @5:98.51% | Loss: 1.1731 |
| Val Acc: @1:14.12% @5:36.96% | Loss: 3.9227 |
| [2026-03-12 16:31:20 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [261/300] Train Time: 45.95s | Val Time: 14.13s |
| Train Acc: @1:93.45% @5:97.82% | Loss: 1.1804 |
| Val Acc: @1:14.22% @5:36.96% | Loss: 3.9221 |
| [2026-03-12 16:32:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [262/300] Train Time: 45.76s | Val Time: 14.10s |
| Train Acc: @1:92.86% @5:98.31% | Loss: 1.1747 |
| Val Acc: @1:14.31% @5:36.96% | Loss: 3.9215 |
| [2026-03-12 16:32:21 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 262, accuracy: 14.31% |
| [2026-03-12 16:33:30 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [263/300] Train Time: 45.87s | Val Time: 14.11s |
| Train Acc: @1:93.55% @5:98.31% | Loss: 1.1540 |
| Val Acc: @1:14.31% @5:37.06% | Loss: 3.9210 |
| [2026-03-12 16:34:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [264/300] Train Time: 46.53s | Val Time: 14.12s |
| Train Acc: @1:94.74% @5:99.01% | Loss: 1.1524 |
| Val Acc: @1:14.31% @5:37.16% | Loss: 3.9204 |
| [2026-03-12 16:35:31 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [265/300] Train Time: 45.85s | Val Time: 14.10s |
| Train Acc: @1:92.66% @5:98.21% | Loss: 1.1932 |
| Val Acc: @1:14.31% @5:37.16% | Loss: 3.9199 |
| [2026-03-12 16:36:39 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [266/300] Train Time: 45.80s | Val Time: 14.11s |
| Train Acc: @1:93.65% @5:98.12% | Loss: 1.1598 |
| Val Acc: @1:14.61% @5:37.16% | Loss: 3.9193 |
| [2026-03-12 16:36:39 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 266, accuracy: 14.61% |
| [2026-03-12 16:37:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [267/300] Train Time: 45.82s | Val Time: 14.10s |
| Train Acc: @1:92.66% @5:98.51% | Loss: 1.1924 |
| Val Acc: @1:14.61% @5:37.16% | Loss: 3.9188 |
| [2026-03-12 16:38:46 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [268/300] Train Time: 45.81s | Val Time: 14.11s |
| Train Acc: @1:94.25% @5:99.01% | Loss: 1.1495 |
| Val Acc: @1:14.51% @5:37.45% | Loss: 3.9182 |
| [2026-03-12 16:39:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [269/300] Train Time: 45.91s | Val Time: 14.07s |
| Train Acc: @1:92.66% @5:97.82% | Loss: 1.1744 |
| Val Acc: @1:14.51% @5:37.25% | Loss: 3.9177 |
| [2026-03-12 16:40:47 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [270/300] Train Time: 45.75s | Val Time: 14.12s |
| Train Acc: @1:93.95% @5:98.91% | Loss: 1.1427 |
| Val Acc: @1:14.80% @5:37.25% | Loss: 3.9172 |
| [2026-03-12 16:40:55 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 270, accuracy: 14.80% |
| [2026-03-12 16:42:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [271/300] Train Time: 45.80s | Val Time: 14.09s |
| Train Acc: @1:92.96% @5:98.61% | Loss: 1.1722 |
| Val Acc: @1:14.80% @5:37.16% | Loss: 3.9167 |
| [2026-03-12 16:43:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [272/300] Train Time: 45.79s | Val Time: 14.08s |
| Train Acc: @1:94.54% @5:98.21% | Loss: 1.1748 |
| Val Acc: @1:14.71% @5:37.06% | Loss: 3.9161 |
| [2026-03-12 16:44:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [273/300] Train Time: 45.80s | Val Time: 14.13s |
| Train Acc: @1:93.85% @5:98.21% | Loss: 1.1543 |
| Val Acc: @1:14.61% @5:37.16% | Loss: 3.9156 |
| [2026-03-12 16:45:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [274/300] Train Time: 45.77s | Val Time: 14.08s |
| Train Acc: @1:93.85% @5:98.21% | Loss: 1.1543 |
| Val Acc: @1:14.71% @5:37.16% | Loss: 3.9151 |
| [2026-03-12 16:46:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [275/300] Train Time: 45.72s | Val Time: 14.10s |
| Train Acc: @1:94.74% @5:99.11% | Loss: 1.1358 |
| Val Acc: @1:14.71% @5:37.06% | Loss: 3.9145 |
| [2026-03-12 16:47:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [276/300] Train Time: 45.80s | Val Time: 14.11s |
| Train Acc: @1:93.15% @5:98.51% | Loss: 1.1875 |
| Val Acc: @1:14.80% @5:37.06% | Loss: 3.9140 |
| [2026-03-12 16:48:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [277/300] Train Time: 45.82s | Val Time: 14.09s |
| Train Acc: @1:91.67% @5:98.51% | Loss: 1.1892 |
| Val Acc: @1:15.00% @5:37.06% | Loss: 3.9135 |
| [2026-03-12 16:48:13 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 277, accuracy: 15.00% |
| [2026-03-12 16:49:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [278/300] Train Time: 45.80s | Val Time: 14.02s |
| Train Acc: @1:93.95% @5:99.01% | Loss: 1.1234 |
| Val Acc: @1:15.00% @5:36.96% | Loss: 3.9129 |
| [2026-03-12 16:50:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [279/300] Train Time: 45.72s | Val Time: 14.00s |
| Train Acc: @1:93.15% @5:98.81% | Loss: 1.1497 |
| Val Acc: @1:14.80% @5:36.86% | Loss: 3.9124 |
| [2026-03-12 16:51:21 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [280/300] Train Time: 45.73s | Val Time: 14.03s |
| Train Acc: @1:93.45% @5:99.11% | Loss: 1.1587 |
| Val Acc: @1:14.80% @5:36.96% | Loss: 3.9118 |
| [2026-03-12 16:52:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [281/300] Train Time: 45.68s | Val Time: 14.03s |
| Train Acc: @1:92.66% @5:98.71% | Loss: 1.1774 |
| Val Acc: @1:14.71% @5:36.96% | Loss: 3.9113 |
| [2026-03-12 16:53:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [282/300] Train Time: 45.75s | Val Time: 14.04s |
| Train Acc: @1:92.06% @5:98.71% | Loss: 1.1820 |
| Val Acc: @1:14.71% @5:36.96% | Loss: 3.9107 |
| [2026-03-12 16:54:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [283/300] Train Time: 45.77s | Val Time: 14.03s |
| Train Acc: @1:94.44% @5:98.61% | Loss: 1.1439 |
| Val Acc: @1:14.80% @5:37.06% | Loss: 3.9102 |
| [2026-03-12 16:55:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [284/300] Train Time: 45.70s | Val Time: 14.03s |
| Train Acc: @1:93.95% @5:98.61% | Loss: 1.1575 |
| Val Acc: @1:14.90% @5:36.96% | Loss: 3.9096 |
| [2026-03-12 16:56:27 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [285/300] Train Time: 45.67s | Val Time: 14.04s |
| Train Acc: @1:94.15% @5:99.01% | Loss: 1.1258 |
| Val Acc: @1:15.00% @5:37.06% | Loss: 3.9091 |
| [2026-03-12 16:57:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [286/300] Train Time: 45.67s | Val Time: 14.03s |
| Train Acc: @1:94.15% @5:97.92% | Loss: 1.1538 |
| Val Acc: @1:15.00% @5:37.16% | Loss: 3.9085 |
| [2026-03-12 16:58:36 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [287/300] Train Time: 45.71s | Val Time: 14.04s |
| Train Acc: @1:94.84% @5:98.81% | Loss: 1.1365 |
| Val Acc: @1:15.20% @5:37.16% | Loss: 3.9079 |
| [2026-03-12 16:58:37 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 287, accuracy: 15.20% |
| [2026-03-12 16:59:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [288/300] Train Time: 45.73s | Val Time: 14.02s |
| Train Acc: @1:93.06% @5:98.61% | Loss: 1.1827 |
| Val Acc: @1:15.20% @5:37.06% | Loss: 3.9074 |
| [2026-03-12 17:00:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [289/300] Train Time: 45.68s | Val Time: 14.00s |
| Train Acc: @1:93.85% @5:98.71% | Loss: 1.1607 |
| Val Acc: @1:15.20% @5:37.16% | Loss: 3.9068 |
| [2026-03-12 17:01:43 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [290/300] Train Time: 45.70s | Val Time: 14.01s |
| Train Acc: @1:92.46% @5:98.81% | Loss: 1.1847 |
| Val Acc: @1:15.39% @5:37.16% | Loss: 3.9063 |
| [2026-03-12 17:01:50 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 290, accuracy: 15.39% |
| [2026-03-12 17:02:57 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [291/300] Train Time: 45.76s | Val Time: 14.03s |
| Train Acc: @1:94.44% @5:98.61% | Loss: 1.1440 |
| Val Acc: @1:15.49% @5:37.35% | Loss: 3.9058 |
| [2026-03-12 17:02:58 LinearSpectre] (70562186.py 126): INFO 🔥 Best checkpoint saved at epoch 291, accuracy: 15.49% |
| [2026-03-12 17:04:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [292/300] Train Time: 45.76s | Val Time: 14.04s |
| Train Acc: @1:92.76% @5:98.71% | Loss: 1.1576 |
| Val Acc: @1:15.39% @5:37.45% | Loss: 3.9052 |
| [2026-03-12 17:05:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [293/300] Train Time: 45.73s | Val Time: 14.04s |
| Train Acc: @1:93.55% @5:98.31% | Loss: 1.1657 |
| Val Acc: @1:15.20% @5:37.35% | Loss: 3.9047 |
| [2026-03-12 17:06:04 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [294/300] Train Time: 45.69s | Val Time: 14.03s |
| Train Acc: @1:94.25% @5:98.51% | Loss: 1.1318 |
| Val Acc: @1:15.10% @5:37.45% | Loss: 3.9041 |
| [2026-03-12 17:07:05 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [295/300] Train Time: 46.38s | Val Time: 14.08s |
| Train Acc: @1:95.04% @5:99.11% | Loss: 1.1506 |
| Val Acc: @1:15.10% @5:37.45% | Loss: 3.9036 |
| [2026-03-12 17:08:12 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [296/300] Train Time: 45.72s | Val Time: 14.05s |
| Train Acc: @1:95.14% @5:98.91% | Loss: 1.1223 |
| Val Acc: @1:15.10% @5:37.45% | Loss: 3.9030 |
| [2026-03-12 17:09:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [297/300] Train Time: 45.77s | Val Time: 14.03s |
| Train Acc: @1:93.55% @5:98.31% | Loss: 1.1625 |
| Val Acc: @1:15.20% @5:37.35% | Loss: 3.9024 |
| [2026-03-12 17:10:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [298/300] Train Time: 45.66s | Val Time: 14.03s |
| Train Acc: @1:94.44% @5:98.91% | Loss: 1.1382 |
| Val Acc: @1:15.20% @5:37.25% | Loss: 3.9019 |
| [2026-03-12 17:11:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [299/300] Train Time: 45.71s | Val Time: 14.04s |
| Train Acc: @1:93.95% @5:98.41% | Loss: 1.1640 |
| Val Acc: @1:15.20% @5:37.45% | Loss: 3.9013 |
| [2026-03-12 17:12:13 LinearSpectre] (70562186.py 104): INFO |
| ViG Epoch [300/300] Train Time: 45.67s | Val Time: 14.07s |
| Train Acc: @1:93.75% @5:99.11% | Loss: 1.1564 |
| Val Acc: @1:15.10% @5:37.55% | Loss: 3.9008 |
|
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