[canary] 2026-04-22T14:39:58Z starting on gh116.hpc.nyu.edu
Wed Apr 22 10:39:58 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA H200                    On  |   00000000:18:00.0 Off |                    0 |
| N/A   21C    P0             75W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
[canary] NVIDIA libs: 6 dirs
/home/ajc10180/.local/bin/uv
uv 0.10.2
[canary] WANDB_API_KEY: wandb_v1_Y...
torch 2.11.0+cu130 cuda avail: True device: NVIDIA H200
torchcodec 0.11.0+cu130
decoded shape: (3, 240, 320) dtype: torch.uint8 n_frames: 164
GPU SMOKE TEST OK
[canary] 2026-04-22T14:40:14Z launching train.py

Training: |          | 0/? [00:00<?, ?it/s]
Training: |          | 0/? [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/200 [00:00<?, ?it/s]
Epoch 0:   0%|          | 1/200 [00:06<20:40,  0.16it/s]
Epoch 0:   0%|          | 1/200 [00:06<20:40,  0.16it/s, v_num=jsbe, train/l1_step=0.586, train/total_loss_step=2.400]
Epoch 0:   1%|          | 2/200 [00:06<10:18,  0.32it/s, v_num=jsbe, train/l1_step=0.586, train/total_loss_step=2.400]
Epoch 0:   1%|          | 2/200 [00:06<11:02,  0.30it/s, v_num=jsbe, train/l1_step=0.215, train/total_loss_step=0.849]
Epoch 0:   2%|▏         | 3/200 [00:06<07:19,  0.45it/s, v_num=jsbe, train/l1_step=0.215, train/total_loss_step=0.849]
Epoch 0:   2%|▏         | 3/200 [00:07<07:49,  0.42it/s, v_num=jsbe, train/l1_step=0.125, train/total_loss_step=0.571]
Epoch 0:   2%|▏         | 4/200 [00:07<05:50,  0.56it/s, v_num=jsbe, train/l1_step=0.125, train/total_loss_step=0.571]
Epoch 0:   2%|▏         | 4/200 [00:07<06:12,  0.53it/s, v_num=jsbe, train/l1_step=0.0855, train/total_loss_step=0.538]
Epoch 0:   2%|▎         | 5/200 [00:07<04:56,  0.66it/s, v_num=jsbe, train/l1_step=0.0855, train/total_loss_step=0.538]
Epoch 0:   2%|▎         | 5/200 [00:08<05:14,  0.62it/s, v_num=jsbe, train/l1_step=0.0693, train/total_loss_step=0.530]
Epoch 0:   3%|▎         | 6/200 [00:08<04:20,  0.74it/s, v_num=jsbe, train/l1_step=0.0693, train/total_loss_step=0.530]
Epoch 0:   3%|▎         | 6/200 [00:08<04:35,  0.71it/s, v_num=jsbe, train/l1_step=0.0612, train/total_loss_step=1.030]
Epoch 0:   4%|▎         | 7/200 [00:08<03:54,  0.82it/s, v_num=jsbe, train/l1_step=0.0612, train/total_loss_step=1.030]
Epoch 0:   4%|▎         | 7/200 [00:08<04:07,  0.78it/s, v_num=jsbe, train/l1_step=0.0555, train/total_loss_step=1.850]
Epoch 0:   4%|▍         | 8/200 [00:08<03:35,  0.89it/s, v_num=jsbe, train/l1_step=0.0555, train/total_loss_step=1.850]
Epoch 0:   4%|▍         | 8/200 [00:09<03:46,  0.85it/s, v_num=jsbe, train/l1_step=0.0584, train/total_loss_step=1.110]
Epoch 0:   4%|▍         | 9/200 [00:09<03:20,  0.95it/s, v_num=jsbe, train/l1_step=0.0584, train/total_loss_step=1.110]
Epoch 0:   4%|▍         | 9/200 [00:09<03:29,  0.91it/s, v_num=jsbe, train/l1_step=0.0588, train/total_loss_step=0.592]
Epoch 0:   5%|▌         | 10/200 [00:09<03:07,  1.01it/s, v_num=jsbe, train/l1_step=0.0588, train/total_loss_step=0.592]
Epoch 0:   5%|▌         | 10/200 [00:10<03:16,  0.97it/s, v_num=jsbe, train/l1_step=0.0585, train/total_loss_step=0.740]
Epoch 0:   6%|▌         | 11/200 [00:10<02:57,  1.06it/s, v_num=jsbe, train/l1_step=0.0585, train/total_loss_step=0.740]
Epoch 0:   6%|▌         | 11/200 [00:10<03:05,  1.02it/s, v_num=jsbe, train/l1_step=0.0573, train/total_loss_step=0.790]
Epoch 0:   6%|▌         | 12/200 [00:10<02:49,  1.11it/s, v_num=jsbe, train/l1_step=0.0573, train/total_loss_step=0.790]
Epoch 0:   6%|▌         | 12/200 [00:11<02:56,  1.07it/s, v_num=jsbe, train/l1_step=0.0538, train/total_loss_step=0.851]
Epoch 0:   6%|▋         | 13/200 [00:11<02:41,  1.16it/s, v_num=jsbe, train/l1_step=0.0538, train/total_loss_step=0.851]
Epoch 0:   6%|▋         | 13/200 [00:11<02:48,  1.11it/s, v_num=jsbe, train/l1_step=0.0497, train/total_loss_step=0.780]
Epoch 0:   7%|▋         | 14/200 [00:11<02:35,  1.20it/s, v_num=jsbe, train/l1_step=0.0497, train/total_loss_step=0.780]
Epoch 0:   7%|▋         | 14/200 [00:12<02:41,  1.15it/s, v_num=jsbe, train/l1_step=0.052, train/total_loss_step=0.893] 
Epoch 0:   8%|▊         | 15/200 [00:12<02:30,  1.23it/s, v_num=jsbe, train/l1_step=0.052, train/total_loss_step=0.893]
Epoch 0:   8%|▊         | 15/200 [00:12<02:35,  1.19it/s, v_num=jsbe, train/l1_step=0.0478, train/total_loss_step=0.784]
Epoch 0:   8%|▊         | 16/200 [00:12<02:25,  1.27it/s, v_num=jsbe, train/l1_step=0.0478, train/total_loss_step=0.784]
Epoch 0:   8%|▊         | 16/200 [00:13<02:30,  1.22it/s, v_num=jsbe, train/l1_step=0.0502, train/total_loss_step=0.874]
Epoch 0:   8%|▊         | 17/200 [00:13<02:20,  1.30it/s, v_num=jsbe, train/l1_step=0.0502, train/total_loss_step=0.874]
Epoch 0:   8%|▊         | 17/200 [00:13<02:25,  1.26it/s, v_num=jsbe, train/l1_step=0.0491, train/total_loss_step=0.884]
Epoch 0:   9%|▉         | 18/200 [00:13<02:16,  1.33it/s, v_num=jsbe, train/l1_step=0.0491, train/total_loss_step=0.884]
Epoch 0:   9%|▉         | 18/200 [00:13<02:21,  1.29it/s, v_num=jsbe, train/l1_step=0.0426, train/total_loss_step=0.749]
Epoch 0:  10%|▉         | 19/200 [00:13<02:13,  1.36it/s, v_num=jsbe, train/l1_step=0.0426, train/total_loss_step=0.749]
Epoch 0:  10%|▉         | 19/200 [00:14<02:17,  1.32it/s, v_num=jsbe, train/l1_step=0.0406, train/total_loss_step=0.812]
Epoch 0:  10%|█         | 20/200 [00:14<02:09,  1.38it/s, v_num=jsbe, train/l1_step=0.0406, train/total_loss_step=0.812]
Epoch 0:  10%|█         | 20/200 [00:14<02:13,  1.34it/s, v_num=jsbe, train/l1_step=0.0385, train/total_loss_step=1.570]
Epoch 0:  10%|█         | 21/200 [00:14<02:06,  1.41it/s, v_num=jsbe, train/l1_step=0.0385, train/total_loss_step=1.570]
Epoch 0:  10%|█         | 21/200 [00:15<02:10,  1.37it/s, v_num=jsbe, train/l1_step=0.0365, train/total_loss_step=0.671]
Epoch 0:  11%|█         | 22/200 [00:15<02:04,  1.43it/s, v_num=jsbe, train/l1_step=0.0365, train/total_loss_step=0.671]
Epoch 0:  11%|█         | 22/200 [00:15<02:07,  1.39it/s, v_num=jsbe, train/l1_step=0.0342, train/total_loss_step=0.814]
Epoch 0:  12%|█▏        | 23/200 [00:15<02:01,  1.46it/s, v_num=jsbe, train/l1_step=0.0342, train/total_loss_step=0.814]
Epoch 0:  12%|█▏        | 23/200 [00:16<02:05,  1.42it/s, v_num=jsbe, train/l1_step=0.0345, train/total_loss_step=0.667]
Epoch 0:  12%|█▏        | 24/200 [00:16<01:59,  1.48it/s, v_num=jsbe, train/l1_step=0.0345, train/total_loss_step=0.667]
Epoch 0:  12%|█▏        | 24/200 [00:16<02:02,  1.44it/s, v_num=jsbe, train/l1_step=0.0318, train/total_loss_step=0.570]
Epoch 0:  12%|█▎        | 25/200 [00:16<01:57,  1.50it/s, v_num=jsbe, train/l1_step=0.0318, train/total_loss_step=0.570]
Epoch 0:  12%|█▎        | 25/200 [00:17<02:00,  1.46it/s, v_num=jsbe, train/l1_step=0.0296, train/total_loss_step=0.654]
Epoch 0:  13%|█▎        | 26/200 [00:17<01:54,  1.51it/s, v_num=jsbe, train/l1_step=0.0296, train/total_loss_step=0.654]
Epoch 0:  13%|█▎        | 26/200 [00:17<01:57,  1.48it/s, v_num=jsbe, train/l1_step=0.0304, train/total_loss_step=0.640]
Epoch 0:  14%|█▎        | 27/200 [00:17<01:52,  1.53it/s, v_num=jsbe, train/l1_step=0.0304, train/total_loss_step=0.640]
Epoch 0:  14%|█▎        | 27/200 [00:18<01:55,  1.49it/s, v_num=jsbe, train/l1_step=0.0284, train/total_loss_step=0.584]
Epoch 0:  14%|█▍        | 28/200 [00:18<01:51,  1.55it/s, v_num=jsbe, train/l1_step=0.0284, train/total_loss_step=0.584]
Epoch 0:  14%|█▍        | 28/200 [00:18<01:53,  1.51it/s, v_num=jsbe, train/l1_step=0.0326, train/total_loss_step=0.552]
Epoch 0:  14%|█▍        | 29/200 [00:18<01:49,  1.56it/s, v_num=jsbe, train/l1_step=0.0326, train/total_loss_step=0.552]
Epoch 0:  14%|█▍        | 29/200 [00:18<01:51,  1.53it/s, v_num=jsbe, train/l1_step=0.0303, train/total_loss_step=0.690]
Epoch 0:  15%|█▌        | 30/200 [00:18<01:47,  1.58it/s, v_num=jsbe, train/l1_step=0.0303, train/total_loss_step=0.690]
Epoch 0:  15%|█▌        | 30/200 [00:19<01:50,  1.54it/s, v_num=jsbe, train/l1_step=0.0283, train/total_loss_step=0.472]
Epoch 0:  16%|█▌        | 31/200 [00:19<01:46,  1.59it/s, v_num=jsbe, train/l1_step=0.0283, train/total_loss_step=0.472]
Epoch 0:  16%|█▌        | 31/200 [00:19<01:48,  1.56it/s, v_num=jsbe, train/l1_step=0.0317, train/total_loss_step=0.498]
Epoch 0:  16%|█▌        | 32/200 [00:19<01:44,  1.61it/s, v_num=jsbe, train/l1_step=0.0317, train/total_loss_step=0.498]
Epoch 0:  16%|█▌        | 32/200 [00:20<01:46,  1.57it/s, v_num=jsbe, train/l1_step=0.0275, train/total_loss_step=0.919]
Epoch 0:  16%|█▋        | 33/200 [00:20<01:43,  1.62it/s, v_num=jsbe, train/l1_step=0.0275, train/total_loss_step=0.919]
Epoch 0:  16%|█▋        | 33/200 [00:20<01:45,  1.59it/s, v_num=jsbe, train/l1_step=0.0277, train/total_loss_step=0.805]
Epoch 0:  17%|█▋        | 34/200 [00:20<01:41,  1.63it/s, v_num=jsbe, train/l1_step=0.0277, train/total_loss_step=0.805]
Epoch 0:  17%|█▋        | 34/200 [00:21<01:43,  1.60it/s, v_num=jsbe, train/l1_step=0.0261, train/total_loss_step=0.595]
Epoch 0:  18%|█▊        | 35/200 [00:21<01:40,  1.65it/s, v_num=jsbe, train/l1_step=0.0261, train/total_loss_step=0.595]
Epoch 0:  18%|█▊        | 35/200 [00:21<01:42,  1.61it/s, v_num=jsbe, train/l1_step=0.0243, train/total_loss_step=0.373]
Epoch 0:  18%|█▊        | 36/200 [00:21<01:38,  1.66it/s, v_num=jsbe, train/l1_step=0.0243, train/total_loss_step=0.373]
Epoch 0:  18%|█▊        | 36/200 [00:22<01:40,  1.62it/s, v_num=jsbe, train/l1_step=0.0256, train/total_loss_step=0.348]
Epoch 0:  18%|█▊        | 37/200 [00:22<01:37,  1.67it/s, v_num=jsbe, train/l1_step=0.0256, train/total_loss_step=0.348]
Epoch 0:  18%|█▊        | 37/200 [00:22<01:39,  1.64it/s, v_num=jsbe, train/l1_step=0.0251, train/total_loss_step=0.997]
Epoch 0:  19%|█▉        | 38/200 [00:22<01:36,  1.68it/s, v_num=jsbe, train/l1_step=0.0251, train/total_loss_step=0.997]
Epoch 0:  19%|█▉        | 38/200 [00:23<01:38,  1.65it/s, v_num=jsbe, train/l1_step=0.0237, train/total_loss_step=0.584]
Epoch 0:  20%|█▉        | 39/200 [00:23<01:35,  1.69it/s, v_num=jsbe, train/l1_step=0.0237, train/total_loss_step=0.584]
Epoch 0:  20%|█▉        | 39/200 [00:23<01:37,  1.66it/s, v_num=jsbe, train/l1_step=0.0247, train/total_loss_step=0.920]
Epoch 0:  20%|██        | 40/200 [00:23<01:34,  1.70it/s, v_num=jsbe, train/l1_step=0.0247, train/total_loss_step=0.920]
Epoch 0:  20%|██        | 40/200 [00:23<01:35,  1.67it/s, v_num=jsbe, train/l1_step=0.0226, train/total_loss_step=0.649]
Epoch 0:  20%|██        | 41/200 [00:24<01:33,  1.71it/s, v_num=jsbe, train/l1_step=0.0226, train/total_loss_step=0.649]
Epoch 0:  20%|██        | 41/200 [00:24<01:34,  1.68it/s, v_num=jsbe, train/l1_step=0.0236, train/total_loss_step=0.502]
Epoch 0:  21%|██        | 42/200 [00:24<01:32,  1.72it/s, v_num=jsbe, train/l1_step=0.0236, train/total_loss_step=0.502]
Epoch 0:  21%|██        | 42/200 [00:24<01:33,  1.69it/s, v_num=jsbe, train/l1_step=0.0223, train/total_loss_step=0.631]
Epoch 0:  22%|██▏       | 43/200 [00:24<01:30,  1.73it/s, v_num=jsbe, train/l1_step=0.0223, train/total_loss_step=0.631]
Epoch 0:  22%|██▏       | 43/200 [00:25<01:32,  1.70it/s, v_num=jsbe, train/l1_step=0.0231, train/total_loss_step=0.561]
Epoch 0:  22%|██▏       | 44/200 [00:25<01:29,  1.73it/s, v_num=jsbe, train/l1_step=0.0231, train/total_loss_step=0.561]
Epoch 0:  22%|██▏       | 44/200 [00:25<01:31,  1.70it/s, v_num=jsbe, train/l1_step=0.0244, train/total_loss_step=0.644]
Epoch 0:  22%|██▎       | 45/200 [00:25<01:28,  1.74it/s, v_num=jsbe, train/l1_step=0.0244, train/total_loss_step=0.644]
Epoch 0:  22%|██▎       | 45/200 [00:26<01:30,  1.71it/s, v_num=jsbe, train/l1_step=0.0249, train/total_loss_step=0.460]
Epoch 0:  23%|██▎       | 46/200 [00:26<01:27,  1.75it/s, v_num=jsbe, train/l1_step=0.0249, train/total_loss_step=0.460]
Epoch 0:  23%|██▎       | 46/200 [00:26<01:29,  1.72it/s, v_num=jsbe, train/l1_step=0.0217, train/total_loss_step=0.538]
Epoch 0:  24%|██▎       | 47/200 [00:26<01:27,  1.76it/s, v_num=jsbe, train/l1_step=0.0217, train/total_loss_step=0.538]
Epoch 0:  24%|██▎       | 47/200 [00:27<01:28,  1.73it/s, v_num=jsbe, train/l1_step=0.0228, train/total_loss_step=0.581]
Epoch 0:  24%|██▍       | 48/200 [00:27<01:26,  1.77it/s, v_num=jsbe, train/l1_step=0.0228, train/total_loss_step=0.581]
Epoch 0:  24%|██▍       | 48/200 [00:27<01:27,  1.74it/s, v_num=jsbe, train/l1_step=0.0194, train/total_loss_step=0.452]
Epoch 0:  24%|██▍       | 49/200 [00:27<01:25,  1.77it/s, v_num=jsbe, train/l1_step=0.0194, train/total_loss_step=0.452]
Epoch 0:  24%|██▍       | 49/200 [00:28<01:26,  1.74it/s, v_num=jsbe, train/l1_step=0.0215, train/total_loss_step=0.525]
Epoch 0:  25%|██▌       | 50/200 [00:28<01:24,  1.78it/s, v_num=jsbe, train/l1_step=0.0215, train/total_loss_step=0.525]
Epoch 0:  25%|██▌       | 50/200 [00:28<01:25,  1.75it/s, v_num=jsbe, train/l1_step=0.0197, train/total_loss_step=0.539]
Epoch 0:  26%|██▌       | 51/200 [00:28<01:24,  1.76it/s, v_num=jsbe, train/l1_step=0.0197, train/total_loss_step=0.539]
Epoch 0:  26%|██▌       | 51/200 [00:29<01:25,  1.75it/s, v_num=jsbe, train/l1_step=0.0199, train/total_loss_step=0.383]
Epoch 0:  26%|██▌       | 52/200 [00:29<01:22,  1.78it/s, v_num=jsbe, train/l1_step=0.0199, train/total_loss_step=0.383]
Epoch 0:  26%|██▌       | 52/200 [00:29<01:24,  1.76it/s, v_num=jsbe, train/l1_step=0.0194, train/total_loss_step=0.423]
Epoch 0:  26%|██▋       | 53/200 [00:29<01:22,  1.79it/s, v_num=jsbe, train/l1_step=0.0194, train/total_loss_step=0.423]
Epoch 0:  26%|██▋       | 53/200 [00:30<01:23,  1.76it/s, v_num=jsbe, train/l1_step=0.0202, train/total_loss_step=0.433]
Epoch 0:  27%|██▋       | 54/200 [00:30<01:21,  1.80it/s, v_num=jsbe, train/l1_step=0.0202, train/total_loss_step=0.433]
Epoch 0:  27%|██▋       | 54/200 [00:30<01:22,  1.77it/s, v_num=jsbe, train/l1_step=0.0181, train/total_loss_step=0.335]
Epoch 0:  28%|██▊       | 55/200 [00:30<01:20,  1.80it/s, v_num=jsbe, train/l1_step=0.0181, train/total_loss_step=0.335]
Epoch 0:  28%|██▊       | 55/200 [00:30<01:21,  1.78it/s, v_num=jsbe, train/l1_step=0.018, train/total_loss_step=0.305] 
Epoch 0:  28%|██▊       | 56/200 [00:30<01:19,  1.81it/s, v_num=jsbe, train/l1_step=0.018, train/total_loss_step=0.305]
Epoch 0:  28%|██▊       | 56/200 [00:31<01:20,  1.78it/s, v_num=jsbe, train/l1_step=0.0196, train/total_loss_step=0.329]
Epoch 0:  28%|██▊       | 57/200 [00:31<01:18,  1.81it/s, v_num=jsbe, train/l1_step=0.0196, train/total_loss_step=0.329]
Epoch 0:  28%|██▊       | 57/200 [00:31<01:19,  1.79it/s, v_num=jsbe, train/l1_step=0.0176, train/total_loss_step=0.244]
Epoch 0:  29%|██▉       | 58/200 [00:31<01:18,  1.82it/s, v_num=jsbe, train/l1_step=0.0176, train/total_loss_step=0.244]
Epoch 0:  29%|██▉       | 58/200 [00:32<01:19,  1.80it/s, v_num=jsbe, train/l1_step=0.0183, train/total_loss_step=1.120]
Epoch 0:  30%|██▉       | 59/200 [00:32<01:17,  1.83it/s, v_num=jsbe, train/l1_step=0.0183, train/total_loss_step=1.120]
Epoch 0:  30%|██▉       | 59/200 [00:32<01:18,  1.80it/s, v_num=jsbe, train/l1_step=0.019, train/total_loss_step=0.310] 
Epoch 0:  30%|███       | 60/200 [00:32<01:16,  1.83it/s, v_num=jsbe, train/l1_step=0.019, train/total_loss_step=0.310]
Epoch 0:  30%|███       | 60/200 [00:33<01:17,  1.81it/s, v_num=jsbe, train/l1_step=0.0173, train/total_loss_step=0.340]
Epoch 0:  30%|███       | 61/200 [00:33<01:15,  1.84it/s, v_num=jsbe, train/l1_step=0.0173, train/total_loss_step=0.340]
Epoch 0:  30%|███       | 61/200 [00:33<01:16,  1.81it/s, v_num=jsbe, train/l1_step=0.0167, train/total_loss_step=0.213]
Epoch 0:  31%|███       | 62/200 [00:33<01:14,  1.84it/s, v_num=jsbe, train/l1_step=0.0167, train/total_loss_step=0.213]
Epoch 0:  31%|███       | 62/200 [00:34<01:15,  1.82it/s, v_num=jsbe, train/l1_step=0.0192, train/total_loss_step=0.330]
Epoch 0:  32%|███▏      | 63/200 [00:34<01:14,  1.85it/s, v_num=jsbe, train/l1_step=0.0192, train/total_loss_step=0.330]
Epoch 0:  32%|███▏      | 63/200 [00:34<01:15,  1.82it/s, v_num=jsbe, train/l1_step=0.0169, train/total_loss_step=0.390]
Epoch 0:  32%|███▏      | 64/200 [00:34<01:13,  1.85it/s, v_num=jsbe, train/l1_step=0.0169, train/total_loss_step=0.390]
Epoch 0:  32%|███▏      | 64/200 [00:35<01:14,  1.83it/s, v_num=jsbe, train/l1_step=0.0167, train/total_loss_step=0.592]
Epoch 0:  32%|███▎      | 65/200 [00:35<01:12,  1.85it/s, v_num=jsbe, train/l1_step=0.0167, train/total_loss_step=0.592]
Epoch 0:  32%|███▎      | 65/200 [00:35<01:13,  1.83it/s, v_num=jsbe, train/l1_step=0.0153, train/total_loss_step=0.742]
Epoch 0:  33%|███▎      | 66/200 [00:35<01:12,  1.86it/s, v_num=jsbe, train/l1_step=0.0153, train/total_loss_step=0.742]
Epoch 0:  33%|███▎      | 66/200 [00:35<01:12,  1.84it/s, v_num=jsbe, train/l1_step=0.0149, train/total_loss_step=0.369]
Epoch 0:  34%|███▎      | 67/200 [00:35<01:11,  1.86it/s, v_num=jsbe, train/l1_step=0.0149, train/total_loss_step=0.369]
Epoch 0:  34%|███▎      | 67/200 [00:36<01:12,  1.84it/s, v_num=jsbe, train/l1_step=0.0142, train/total_loss_step=0.452]
Epoch 0:  34%|███▍      | 68/200 [00:36<01:10,  1.87it/s, v_num=jsbe, train/l1_step=0.0142, train/total_loss_step=0.452]
Epoch 0:  34%|███▍      | 68/200 [00:36<01:11,  1.84it/s, v_num=jsbe, train/l1_step=0.0125, train/total_loss_step=0.460]
Epoch 0:  34%|███▍      | 69/200 [00:36<01:10,  1.87it/s, v_num=jsbe, train/l1_step=0.0125, train/total_loss_step=0.460]
Epoch 0:  34%|███▍      | 69/200 [00:37<01:10,  1.85it/s, v_num=jsbe, train/l1_step=0.0148, train/total_loss_step=0.301]
Epoch 0:  35%|███▌      | 70/200 [00:37<01:09,  1.87it/s, v_num=jsbe, train/l1_step=0.0148, train/total_loss_step=0.301]
Epoch 0:  35%|███▌      | 70/200 [00:37<01:10,  1.85it/s, v_num=jsbe, train/l1_step=0.014, train/total_loss_step=0.389] 
Epoch 0:  36%|███▌      | 71/200 [00:37<01:08,  1.88it/s, v_num=jsbe, train/l1_step=0.014, train/total_loss_step=0.389]
Epoch 0:  36%|███▌      | 71/200 [00:38<01:09,  1.86it/s, v_num=jsbe, train/l1_step=0.0132, train/total_loss_step=0.551]
Epoch 0:  36%|███▌      | 72/200 [00:38<01:07,  1.88it/s, v_num=jsbe, train/l1_step=0.0132, train/total_loss_step=0.551]
Epoch 0:  36%|███▌      | 72/200 [00:38<01:08,  1.86it/s, v_num=jsbe, train/l1_step=0.0126, train/total_loss_step=0.385]
Epoch 0:  36%|███▋      | 73/200 [00:38<01:07,  1.89it/s, v_num=jsbe, train/l1_step=0.0126, train/total_loss_step=0.385]
Epoch 0:  36%|███▋      | 73/200 [00:39<01:08,  1.87it/s, v_num=jsbe, train/l1_step=0.0123, train/total_loss_step=0.621]
Epoch 0:  37%|███▋      | 74/200 [00:39<01:06,  1.89it/s, v_num=jsbe, train/l1_step=0.0123, train/total_loss_step=0.621]
Epoch 0:  37%|███▋      | 74/200 [00:39<01:07,  1.87it/s, v_num=jsbe, train/l1_step=0.0121, train/total_loss_step=0.594]
Epoch 0:  38%|███▊      | 75/200 [00:39<01:06,  1.89it/s, v_num=jsbe, train/l1_step=0.0121, train/total_loss_step=0.594]
Epoch 0:  38%|███▊      | 75/200 [00:40<01:06,  1.87it/s, v_num=jsbe, train/l1_step=0.0127, train/total_loss_step=0.644]
Epoch 0:  38%|███▊      | 76/200 [00:40<01:05,  1.90it/s, v_num=jsbe, train/l1_step=0.0127, train/total_loss_step=0.644]
Epoch 0:  38%|███▊      | 76/200 [00:40<01:06,  1.88it/s, v_num=jsbe, train/l1_step=0.0121, train/total_loss_step=0.461]
Epoch 0:  38%|███▊      | 77/200 [00:40<01:04,  1.90it/s, v_num=jsbe, train/l1_step=0.0121, train/total_loss_step=0.461]
Epoch 0:  38%|███▊      | 77/200 [00:40<01:05,  1.88it/s, v_num=jsbe, train/l1_step=0.0132, train/total_loss_step=0.452]
Epoch 0:  39%|███▉      | 78/200 [00:40<01:04,  1.90it/s, v_num=jsbe, train/l1_step=0.0132, train/total_loss_step=0.452]
Epoch 0:  39%|███▉      | 78/200 [00:41<01:04,  1.88it/s, v_num=jsbe, train/l1_step=0.0125, train/total_loss_step=0.498]
Epoch 0:  40%|███▉      | 79/200 [00:41<01:03,  1.91it/s, v_num=jsbe, train/l1_step=0.0125, train/total_loss_step=0.498]
Epoch 0:  40%|███▉      | 79/200 [00:41<01:04,  1.89it/s, v_num=jsbe, train/l1_step=0.012, train/total_loss_step=0.340] 
Epoch 0:  40%|████      | 80/200 [00:41<01:02,  1.91it/s, v_num=jsbe, train/l1_step=0.012, train/total_loss_step=0.340]
Epoch 0:  40%|████      | 80/200 [00:42<01:03,  1.89it/s, v_num=jsbe, train/l1_step=0.0117, train/total_loss_step=0.337]
Epoch 0:  40%|████      | 81/200 [00:42<01:02,  1.91it/s, v_num=jsbe, train/l1_step=0.0117, train/total_loss_step=0.337]
Epoch 0:  40%|████      | 81/200 [00:42<01:02,  1.89it/s, v_num=jsbe, train/l1_step=0.0117, train/total_loss_step=0.340]
Epoch 0:  41%|████      | 82/200 [00:42<01:01,  1.92it/s, v_num=jsbe, train/l1_step=0.0117, train/total_loss_step=0.340]
Epoch 0:  41%|████      | 82/200 [00:43<01:02,  1.90it/s, v_num=jsbe, train/l1_step=0.0111, train/total_loss_step=0.330]
Epoch 0:  42%|████▏     | 83/200 [00:43<01:00,  1.92it/s, v_num=jsbe, train/l1_step=0.0111, train/total_loss_step=0.330]
Epoch 0:  42%|████▏     | 83/200 [00:43<01:01,  1.90it/s, v_num=jsbe, train/l1_step=0.0104, train/total_loss_step=0.238]
Epoch 0:  42%|████▏     | 84/200 [00:43<01:00,  1.92it/s, v_num=jsbe, train/l1_step=0.0104, train/total_loss_step=0.238]
Epoch 0:  42%|████▏     | 84/200 [00:44<01:00,  1.90it/s, v_num=jsbe, train/l1_step=0.0114, train/total_loss_step=0.334]
Epoch 0:  42%|████▎     | 85/200 [00:44<00:59,  1.92it/s, v_num=jsbe, train/l1_step=0.0114, train/total_loss_step=0.334]
Epoch 0:  42%|████▎     | 85/200 [00:44<01:00,  1.91it/s, v_num=jsbe, train/l1_step=0.0111, train/total_loss_step=0.217]
Epoch 0:  43%|████▎     | 86/200 [00:44<00:59,  1.93it/s, v_num=jsbe, train/l1_step=0.0111, train/total_loss_step=0.217]
Epoch 0:  43%|████▎     | 86/200 [00:45<00:59,  1.91it/s, v_num=jsbe, train/l1_step=0.0102, train/total_loss_step=0.386]
Epoch 0:  44%|████▎     | 87/200 [00:45<00:58,  1.93it/s, v_num=jsbe, train/l1_step=0.0102, train/total_loss_step=0.386]
Epoch 0:  44%|████▎     | 87/200 [00:45<00:59,  1.91it/s, v_num=jsbe, train/l1_step=0.0116, train/total_loss_step=0.704]
Epoch 0:  44%|████▍     | 88/200 [00:45<00:57,  1.93it/s, v_num=jsbe, train/l1_step=0.0116, train/total_loss_step=0.704]
Epoch 0:  44%|████▍     | 88/200 [00:45<00:58,  1.91it/s, v_num=jsbe, train/l1_step=0.00966, train/total_loss_step=0.221]
Epoch 0:  44%|████▍     | 89/200 [00:45<00:57,  1.94it/s, v_num=jsbe, train/l1_step=0.00966, train/total_loss_step=0.221]
Epoch 0:  44%|████▍     | 89/200 [00:46<00:57,  1.92it/s, v_num=jsbe, train/l1_step=0.0109, train/total_loss_step=0.188] 
Epoch 0:  45%|████▌     | 90/200 [00:46<00:56,  1.94it/s, v_num=jsbe, train/l1_step=0.0109, train/total_loss_step=0.188]
Epoch 0:  45%|████▌     | 90/200 [00:46<00:57,  1.92it/s, v_num=jsbe, train/l1_step=0.0095, train/total_loss_step=0.162]
Epoch 0:  46%|████▌     | 91/200 [00:46<00:56,  1.94it/s, v_num=jsbe, train/l1_step=0.0095, train/total_loss_step=0.162]
Epoch 0:  46%|████▌     | 91/200 [00:47<00:56,  1.92it/s, v_num=jsbe, train/l1_step=0.00959, train/total_loss_step=0.599]
Epoch 0:  46%|████▌     | 92/200 [00:47<00:55,  1.94it/s, v_num=jsbe, train/l1_step=0.00959, train/total_loss_step=0.599]
Epoch 0:  46%|████▌     | 92/200 [00:47<00:56,  1.92it/s, v_num=jsbe, train/l1_step=0.00945, train/total_loss_step=0.177]
Epoch 0:  46%|████▋     | 93/200 [00:47<00:55,  1.95it/s, v_num=jsbe, train/l1_step=0.00945, train/total_loss_step=0.177]
Epoch 0:  46%|████▋     | 93/200 [00:48<00:55,  1.93it/s, v_num=jsbe, train/l1_step=0.00966, train/total_loss_step=1.010]
Epoch 0:  47%|████▋     | 94/200 [00:48<00:54,  1.95it/s, v_num=jsbe, train/l1_step=0.00966, train/total_loss_step=1.010]
Epoch 0:  47%|████▋     | 94/200 [00:48<00:54,  1.93it/s, v_num=jsbe, train/l1_step=0.00861, train/total_loss_step=0.340]
Epoch 0:  48%|████▊     | 95/200 [00:48<00:53,  1.95it/s, v_num=jsbe, train/l1_step=0.00861, train/total_loss_step=0.340]
Epoch 0:  48%|████▊     | 95/200 [00:49<00:54,  1.93it/s, v_num=jsbe, train/l1_step=0.00928, train/total_loss_step=0.673]
Epoch 0:  48%|████▊     | 96/200 [00:49<00:53,  1.95it/s, v_num=jsbe, train/l1_step=0.00928, train/total_loss_step=0.673]
Epoch 0:  48%|████▊     | 96/200 [00:49<00:53,  1.93it/s, v_num=jsbe, train/l1_step=0.0104, train/total_loss_step=0.298] 
Epoch 0:  48%|████▊     | 97/200 [00:49<00:52,  1.95it/s, v_num=jsbe, train/l1_step=0.0104, train/total_loss_step=0.298]
Epoch 0:  48%|████▊     | 97/200 [00:50<00:53,  1.94it/s, v_num=jsbe, train/l1_step=0.00882, train/total_loss_step=0.390]
Epoch 0:  49%|████▉     | 98/200 [00:50<00:52,  1.96it/s, v_num=jsbe, train/l1_step=0.00882, train/total_loss_step=0.390]
Epoch 0:  49%|████▉     | 98/200 [00:50<00:52,  1.94it/s, v_num=jsbe, train/l1_step=0.00866, train/total_loss_step=0.398]
Epoch 0:  50%|████▉     | 99/200 [00:50<00:51,  1.96it/s, v_num=jsbe, train/l1_step=0.00866, train/total_loss_step=0.398]
Epoch 0:  50%|████▉     | 99/200 [00:50<00:52,  1.94it/s, v_num=jsbe, train/l1_step=0.00895, train/total_loss_step=0.397]
Epoch 0:  50%|█████     | 100/200 [00:50<00:50,  1.96it/s, v_num=jsbe, train/l1_step=0.00895, train/total_loss_step=0.397]
Epoch 0:  50%|█████     | 100/200 [00:51<00:51,  1.94it/s, v_num=jsbe, train/l1_step=0.00949, train/total_loss_step=0.524]
Epoch 0:  50%|█████     | 101/200 [00:52<00:51,  1.94it/s, v_num=jsbe, train/l1_step=0.00949, train/total_loss_step=0.524]
Epoch 0:  50%|█████     | 101/200 [00:52<00:51,  1.93it/s, v_num=jsbe, train/l1_step=0.00994, train/total_loss_step=0.537]
Epoch 0:  51%|█████     | 102/200 [00:52<00:50,  1.95it/s, v_num=jsbe, train/l1_step=0.00994, train/total_loss_step=0.537]
Epoch 0:  51%|█████     | 102/200 [00:52<00:50,  1.93it/s, v_num=jsbe, train/l1_step=0.00856, train/total_loss_step=0.499]
Epoch 0:  52%|█████▏    | 103/200 [00:52<00:49,  1.95it/s, v_num=jsbe, train/l1_step=0.00856, train/total_loss_step=0.499]
Epoch 0:  52%|█████▏    | 103/200 [00:53<00:50,  1.93it/s, v_num=jsbe, train/l1_step=0.0079, train/total_loss_step=0.616] 
Epoch 0:  52%|█████▏    | 104/200 [00:53<00:49,  1.95it/s, v_num=jsbe, train/l1_step=0.0079, train/total_loss_step=0.616]
Epoch 0:  52%|█████▏    | 104/200 [00:53<00:49,  1.94it/s, v_num=jsbe, train/l1_step=0.00861, train/total_loss_step=0.605]
Epoch 0:  52%|█████▎    | 105/200 [00:53<00:48,  1.95it/s, v_num=jsbe, train/l1_step=0.00861, train/total_loss_step=0.605]
Epoch 0:  52%|█████▎    | 105/200 [00:54<00:48,  1.94it/s, v_num=jsbe, train/l1_step=0.00846, train/total_loss_step=0.408]
Epoch 0:  53%|█████▎    | 106/200 [00:54<00:48,  1.96it/s, v_num=jsbe, train/l1_step=0.00846, train/total_loss_step=0.408]
Epoch 0:  53%|█████▎    | 106/200 [00:54<00:48,  1.94it/s, v_num=jsbe, train/l1_step=0.00839, train/total_loss_step=0.442]
Epoch 0:  54%|█████▎    | 107/200 [00:54<00:47,  1.96it/s, v_num=jsbe, train/l1_step=0.00839, train/total_loss_step=0.442]
Epoch 0:  54%|█████▎    | 107/200 [00:55<00:47,  1.94it/s, v_num=jsbe, train/l1_step=0.00854, train/total_loss_step=0.389]
Epoch 0:  54%|█████▍    | 108/200 [00:55<00:46,  1.96it/s, v_num=jsbe, train/l1_step=0.00854, train/total_loss_step=0.389]
Epoch 0:  54%|█████▍    | 108/200 [00:55<00:47,  1.95it/s, v_num=jsbe, train/l1_step=0.00773, train/total_loss_step=0.385]
Epoch 0:  55%|█████▍    | 109/200 [00:55<00:46,  1.96it/s, v_num=jsbe, train/l1_step=0.00773, train/total_loss_step=0.385]
Epoch 0:  55%|█████▍    | 109/200 [00:55<00:46,  1.95it/s, v_num=jsbe, train/l1_step=0.00758, train/total_loss_step=0.381]
Epoch 0:  55%|█████▌    | 110/200 [00:55<00:45,  1.96it/s, v_num=jsbe, train/l1_step=0.00758, train/total_loss_step=0.381]
Epoch 0:  55%|█████▌    | 110/200 [00:56<00:46,  1.95it/s, v_num=jsbe, train/l1_step=0.0074, train/total_loss_step=0.682] 
Epoch 0:  56%|█████▌    | 111/200 [00:56<00:45,  1.97it/s, v_num=jsbe, train/l1_step=0.0074, train/total_loss_step=0.682]
Epoch 0:  56%|█████▌    | 111/200 [00:56<00:45,  1.95it/s, v_num=jsbe, train/l1_step=0.00795, train/total_loss_step=0.736]
Epoch 0:  56%|█████▌    | 112/200 [00:56<00:44,  1.97it/s, v_num=jsbe, train/l1_step=0.00795, train/total_loss_step=0.736]
Epoch 0:  56%|█████▌    | 112/200 [00:57<00:45,  1.95it/s, v_num=jsbe, train/l1_step=0.00738, train/total_loss_step=0.447]
Epoch 0:  56%|█████▋    | 113/200 [00:57<00:44,  1.97it/s, v_num=jsbe, train/l1_step=0.00738, train/total_loss_step=0.447]
Epoch 0:  56%|█████▋    | 113/200 [00:57<00:44,  1.96it/s, v_num=jsbe, train/l1_step=0.00693, train/total_loss_step=0.281]
Epoch 0:  57%|█████▋    | 114/200 [00:57<00:43,  1.97it/s, v_num=jsbe, train/l1_step=0.00693, train/total_loss_step=0.281]
Epoch 0:  57%|█████▋    | 114/200 [00:58<00:43,  1.96it/s, v_num=jsbe, train/l1_step=0.00696, train/total_loss_step=0.549]
Epoch 0:  57%|█████▊    | 115/200 [00:58<00:43,  1.97it/s, v_num=jsbe, train/l1_step=0.00696, train/total_loss_step=0.549]
Epoch 0:  57%|█████▊    | 115/200 [00:58<00:43,  1.96it/s, v_num=jsbe, train/l1_step=0.00858, train/total_loss_step=0.489]
Epoch 0:  58%|█████▊    | 116/200 [00:58<00:42,  1.98it/s, v_num=jsbe, train/l1_step=0.00858, train/total_loss_step=0.489]
Epoch 0:  58%|█████▊    | 116/200 [00:59<00:42,  1.96it/s, v_num=jsbe, train/l1_step=0.0124, train/total_loss_step=0.515] 
Epoch 0:  58%|█████▊    | 117/200 [00:59<00:41,  1.98it/s, v_num=jsbe, train/l1_step=0.0124, train/total_loss_step=0.515]
Epoch 0:  58%|█████▊    | 117/200 [00:59<00:42,  1.96it/s, v_num=jsbe, train/l1_step=0.0139, train/total_loss_step=0.340]
Epoch 0:  59%|█████▉    | 118/200 [00:59<00:41,  1.98it/s, v_num=jsbe, train/l1_step=0.0139, train/total_loss_step=0.340]
Epoch 0:  59%|█████▉    | 118/200 [01:00<00:41,  1.96it/s, v_num=jsbe, train/l1_step=0.00753, train/total_loss_step=0.262]
Epoch 0:  60%|█████▉    | 119/200 [01:00<00:40,  1.98it/s, v_num=jsbe, train/l1_step=0.00753, train/total_loss_step=0.262]
Epoch 0:  60%|█████▉    | 119/200 [01:00<00:41,  1.97it/s, v_num=jsbe, train/l1_step=0.00809, train/total_loss_step=0.404]
Epoch 0:  60%|██████    | 120/200 [01:00<00:40,  1.98it/s, v_num=jsbe, train/l1_step=0.00809, train/total_loss_step=0.404]
Epoch 0:  60%|██████    | 120/200 [01:00<00:40,  1.97it/s, v_num=jsbe, train/l1_step=0.0106, train/total_loss_step=0.411] 
Epoch 0:  60%|██████    | 121/200 [01:00<00:39,  1.98it/s, v_num=jsbe, train/l1_step=0.0106, train/total_loss_step=0.411]
Epoch 0:  60%|██████    | 121/200 [01:01<00:40,  1.97it/s, v_num=jsbe, train/l1_step=0.00735, train/total_loss_step=0.351]
Epoch 0:  61%|██████    | 122/200 [01:01<00:39,  1.99it/s, v_num=jsbe, train/l1_step=0.00735, train/total_loss_step=0.351]
Epoch 0:  61%|██████    | 122/200 [01:01<00:39,  1.97it/s, v_num=jsbe, train/l1_step=0.00953, train/total_loss_step=0.343]
Epoch 0:  62%|██████▏   | 123/200 [01:01<00:38,  1.99it/s, v_num=jsbe, train/l1_step=0.00953, train/total_loss_step=0.343]
Epoch 0:  62%|██████▏   | 123/200 [01:02<00:39,  1.97it/s, v_num=jsbe, train/l1_step=0.00669, train/total_loss_step=0.402]
Epoch 0:  62%|██████▏   | 124/200 [01:02<00:38,  1.99it/s, v_num=jsbe, train/l1_step=0.00669, train/total_loss_step=0.402]
Epoch 0:  62%|██████▏   | 124/200 [01:02<00:38,  1.97it/s, v_num=jsbe, train/l1_step=0.00911, train/total_loss_step=0.692]
Epoch 0:  62%|██████▎   | 125/200 [01:02<00:37,  1.99it/s, v_num=jsbe, train/l1_step=0.00911, train/total_loss_step=0.692]
Epoch 0:  62%|██████▎   | 125/200 [01:03<00:37,  1.98it/s, v_num=jsbe, train/l1_step=0.00787, train/total_loss_step=0.423]
Epoch 0:  63%|██████▎   | 126/200 [01:03<00:37,  1.99it/s, v_num=jsbe, train/l1_step=0.00787, train/total_loss_step=0.423]
Epoch 0:  63%|██████▎   | 126/200 [01:03<00:37,  1.98it/s, v_num=jsbe, train/l1_step=0.00797, train/total_loss_step=0.882]
Epoch 0:  64%|██████▎   | 127/200 [01:03<00:36,  1.99it/s, v_num=jsbe, train/l1_step=0.00797, train/total_loss_step=0.882]
Epoch 0:  64%|██████▎   | 127/200 [01:04<00:36,  1.98it/s, v_num=jsbe, train/l1_step=0.00795, train/total_loss_step=1.150]
Epoch 0:  64%|██████▍   | 128/200 [01:04<00:36,  1.99it/s, v_num=jsbe, train/l1_step=0.00795, train/total_loss_step=1.150]
Epoch 0:  64%|██████▍   | 128/200 [01:04<00:36,  1.98it/s, v_num=jsbe, train/l1_step=0.0069, train/total_loss_step=0.405] 
Epoch 0:  64%|██████▍   | 129/200 [01:04<00:35,  2.00it/s, v_num=jsbe, train/l1_step=0.0069, train/total_loss_step=0.405]
Epoch 0:  64%|██████▍   | 129/200 [01:05<00:35,  1.98it/s, v_num=jsbe, train/l1_step=0.00844, train/total_loss_step=0.374]
Epoch 0:  65%|██████▌   | 130/200 [01:05<00:35,  2.00it/s, v_num=jsbe, train/l1_step=0.00844, train/total_loss_step=0.374]
Epoch 0:  65%|██████▌   | 130/200 [01:05<00:35,  1.98it/s, v_num=jsbe, train/l1_step=0.00682, train/total_loss_step=0.451]
Epoch 0:  66%|██████▌   | 131/200 [01:05<00:34,  2.00it/s, v_num=jsbe, train/l1_step=0.00682, train/total_loss_step=0.451]
Epoch 0:  66%|██████▌   | 131/200 [01:05<00:34,  1.99it/s, v_num=jsbe, train/l1_step=0.00715, train/total_loss_step=0.406]
Epoch 0:  66%|██████▌   | 132/200 [01:06<00:34,  2.00it/s, v_num=jsbe, train/l1_step=0.00715, train/total_loss_step=0.406]
Epoch 0:  66%|██████▌   | 132/200 [01:06<00:34,  1.99it/s, v_num=jsbe, train/l1_step=0.0058, train/total_loss_step=0.613] 
Epoch 0:  66%|██████▋   | 133/200 [01:06<00:33,  2.00it/s, v_num=jsbe, train/l1_step=0.0058, train/total_loss_step=0.613]
Epoch 0:  66%|██████▋   | 133/200 [01:06<00:33,  1.99it/s, v_num=jsbe, train/l1_step=0.00668, train/total_loss_step=0.573]
Epoch 0:  67%|██████▋   | 134/200 [01:06<00:32,  2.00it/s, v_num=jsbe, train/l1_step=0.00668, train/total_loss_step=0.573]
Epoch 0:  67%|██████▋   | 134/200 [01:07<00:33,  1.99it/s, v_num=jsbe, train/l1_step=0.00664, train/total_loss_step=0.516]
Epoch 0:  68%|██████▊   | 135/200 [01:07<00:32,  2.00it/s, v_num=jsbe, train/l1_step=0.00664, train/total_loss_step=0.516]
Epoch 0:  68%|██████▊   | 135/200 [01:07<00:32,  1.99it/s, v_num=jsbe, train/l1_step=0.00599, train/total_loss_step=0.495]
Epoch 0:  68%|██████▊   | 136/200 [01:07<00:31,  2.01it/s, v_num=jsbe, train/l1_step=0.00599, train/total_loss_step=0.495]
Epoch 0:  68%|██████▊   | 136/200 [01:08<00:32,  1.99it/s, v_num=jsbe, train/l1_step=0.0062, train/total_loss_step=0.464] 
Epoch 0:  68%|██████▊   | 137/200 [01:08<00:31,  2.01it/s, v_num=jsbe, train/l1_step=0.0062, train/total_loss_step=0.464]
Epoch 0:  68%|██████▊   | 137/200 [01:08<00:31,  1.99it/s, v_num=jsbe, train/l1_step=0.00631, train/total_loss_step=0.391]
Epoch 0:  69%|██████▉   | 138/200 [01:08<00:30,  2.01it/s, v_num=jsbe, train/l1_step=0.00631, train/total_loss_step=0.391]
Epoch 0:  69%|██████▉   | 138/200 [01:09<00:31,  1.99it/s, v_num=jsbe, train/l1_step=0.00601, train/total_loss_step=0.852]
Epoch 0:  70%|██████▉   | 139/200 [01:09<00:30,  2.01it/s, v_num=jsbe, train/l1_step=0.00601, train/total_loss_step=0.852]
Epoch 0:  70%|██████▉   | 139/200 [01:09<00:30,  2.00it/s, v_num=jsbe, train/l1_step=0.00582, train/total_loss_step=0.447]
Epoch 0:  70%|███████   | 140/200 [01:09<00:29,  2.01it/s, v_num=jsbe, train/l1_step=0.00582, train/total_loss_step=0.447]
Epoch 0:  70%|███████   | 140/200 [01:10<00:30,  2.00it/s, v_num=jsbe, train/l1_step=0.00586, train/total_loss_step=0.340]
Epoch 0:  70%|███████   | 141/200 [01:10<00:29,  2.01it/s, v_num=jsbe, train/l1_step=0.00586, train/total_loss_step=0.340]
Epoch 0:  70%|███████   | 141/200 [01:10<00:29,  2.00it/s, v_num=jsbe, train/l1_step=0.00557, train/total_loss_step=0.387]
Epoch 0:  71%|███████   | 142/200 [01:10<00:28,  2.01it/s, v_num=jsbe, train/l1_step=0.00557, train/total_loss_step=0.387]
Epoch 0:  71%|███████   | 142/200 [01:10<00:28,  2.00it/s, v_num=jsbe, train/l1_step=0.00555, train/total_loss_step=0.428]
Epoch 0:  72%|███████▏  | 143/200 [01:11<00:28,  2.01it/s, v_num=jsbe, train/l1_step=0.00555, train/total_loss_step=0.428]
Epoch 0:  72%|███████▏  | 143/200 [01:11<00:28,  2.00it/s, v_num=jsbe, train/l1_step=0.00556, train/total_loss_step=0.357]
Epoch 0:  72%|███████▏  | 144/200 [01:11<00:27,  2.01it/s, v_num=jsbe, train/l1_step=0.00556, train/total_loss_step=0.357]
Epoch 0:  72%|███████▏  | 144/200 [01:11<00:27,  2.00it/s, v_num=jsbe, train/l1_step=0.00565, train/total_loss_step=0.243]
Epoch 0:  72%|███████▎  | 145/200 [01:11<00:27,  2.02it/s, v_num=jsbe, train/l1_step=0.00565, train/total_loss_step=0.243]
Epoch 0:  72%|███████▎  | 145/200 [01:12<00:27,  2.00it/s, v_num=jsbe, train/l1_step=0.00559, train/total_loss_step=0.327]
Epoch 0:  73%|███████▎  | 146/200 [01:12<00:26,  2.02it/s, v_num=jsbe, train/l1_step=0.00559, train/total_loss_step=0.327]
Epoch 0:  73%|███████▎  | 146/200 [01:12<00:26,  2.01it/s, v_num=jsbe, train/l1_step=0.00594, train/total_loss_step=0.443]
Epoch 0:  74%|███████▎  | 147/200 [01:12<00:26,  2.02it/s, v_num=jsbe, train/l1_step=0.00594, train/total_loss_step=0.443]
Epoch 0:  74%|███████▎  | 147/200 [01:13<00:26,  2.01it/s, v_num=jsbe, train/l1_step=0.0059, train/total_loss_step=0.360] 
Epoch 0:  74%|███████▍  | 148/200 [01:13<00:25,  2.02it/s, v_num=jsbe, train/l1_step=0.0059, train/total_loss_step=0.360]
Epoch 0:  74%|███████▍  | 148/200 [01:13<00:25,  2.01it/s, v_num=jsbe, train/l1_step=0.00592, train/total_loss_step=0.373]
Epoch 0:  74%|███████▍  | 149/200 [01:13<00:25,  2.02it/s, v_num=jsbe, train/l1_step=0.00592, train/total_loss_step=0.373]
Epoch 0:  74%|███████▍  | 149/200 [01:14<00:25,  2.01it/s, v_num=jsbe, train/l1_step=0.00529, train/total_loss_step=0.564]
Epoch 0:  75%|███████▌  | 150/200 [01:14<00:24,  2.02it/s, v_num=jsbe, train/l1_step=0.00529, train/total_loss_step=0.564]
Epoch 0:  75%|███████▌  | 150/200 [01:14<00:24,  2.01it/s, v_num=jsbe, train/l1_step=0.0057, train/total_loss_step=0.252] 
Epoch 0:  76%|███████▌  | 151/200 [01:15<00:24,  2.01it/s, v_num=jsbe, train/l1_step=0.0057, train/total_loss_step=0.252]
Epoch 0:  76%|███████▌  | 151/200 [01:15<00:24,  2.01it/s, v_num=jsbe, train/l1_step=0.00521, train/total_loss_step=0.521]
Epoch 0:  76%|███████▌  | 152/200 [01:15<00:23,  2.02it/s, v_num=jsbe, train/l1_step=0.00521, train/total_loss_step=0.521]
Epoch 0:  76%|███████▌  | 152/200 [01:15<00:23,  2.01it/s, v_num=jsbe, train/l1_step=0.00633, train/total_loss_step=0.440]
Epoch 0:  76%|███████▋  | 153/200 [01:15<00:23,  2.02it/s, v_num=jsbe, train/l1_step=0.00633, train/total_loss_step=0.440]
Epoch 0:  76%|███████▋  | 153/200 [01:16<00:23,  2.01it/s, v_num=jsbe, train/l1_step=0.00528, train/total_loss_step=0.477]
Epoch 0:  77%|███████▋  | 154/200 [01:16<00:22,  2.02it/s, v_num=jsbe, train/l1_step=0.00528, train/total_loss_step=0.477]
Epoch 0:  77%|███████▋  | 154/200 [01:16<00:22,  2.01it/s, v_num=jsbe, train/l1_step=0.00547, train/total_loss_step=0.330]
Epoch 0:  78%|███████▊  | 155/200 [01:16<00:22,  2.02it/s, v_num=jsbe, train/l1_step=0.00547, train/total_loss_step=0.330]
Epoch 0:  78%|███████▊  | 155/200 [01:17<00:22,  2.01it/s, v_num=jsbe, train/l1_step=0.00516, train/total_loss_step=0.254]
Epoch 0:  78%|███████▊  | 156/200 [01:17<00:21,  2.02it/s, v_num=jsbe, train/l1_step=0.00516, train/total_loss_step=0.254]
Epoch 0:  78%|███████▊  | 156/200 [01:17<00:21,  2.01it/s, v_num=jsbe, train/l1_step=0.00542, train/total_loss_step=0.237]
Epoch 0:  78%|███████▊  | 157/200 [01:17<00:21,  2.03it/s, v_num=jsbe, train/l1_step=0.00542, train/total_loss_step=0.237]
Epoch 0:  78%|███████▊  | 157/200 [01:17<00:21,  2.01it/s, v_num=jsbe, train/l1_step=0.00576, train/total_loss_step=0.325]
Epoch 0:  79%|███████▉  | 158/200 [01:17<00:20,  2.03it/s, v_num=jsbe, train/l1_step=0.00576, train/total_loss_step=0.325]
Epoch 0:  79%|███████▉  | 158/200 [01:18<00:20,  2.02it/s, v_num=jsbe, train/l1_step=0.00471, train/total_loss_step=0.239]
Epoch 0:  80%|███████▉  | 159/200 [01:18<00:20,  2.03it/s, v_num=jsbe, train/l1_step=0.00471, train/total_loss_step=0.239]
Epoch 0:  80%|███████▉  | 159/200 [01:18<00:20,  2.02it/s, v_num=jsbe, train/l1_step=0.00485, train/total_loss_step=0.317]
Epoch 0:  80%|████████  | 160/200 [01:18<00:19,  2.03it/s, v_num=jsbe, train/l1_step=0.00485, train/total_loss_step=0.317]
Epoch 0:  80%|████████  | 160/200 [01:19<00:19,  2.02it/s, v_num=jsbe, train/l1_step=0.00522, train/total_loss_step=0.294]
Epoch 0:  80%|████████  | 161/200 [01:19<00:19,  2.03it/s, v_num=jsbe, train/l1_step=0.00522, train/total_loss_step=0.294]
Epoch 0:  80%|████████  | 161/200 [01:19<00:19,  2.02it/s, v_num=jsbe, train/l1_step=0.00533, train/total_loss_step=0.255]
Epoch 0:  81%|████████  | 162/200 [01:19<00:18,  2.03it/s, v_num=jsbe, train/l1_step=0.00533, train/total_loss_step=0.255]
Epoch 0:  81%|████████  | 162/200 [01:20<00:18,  2.02it/s, v_num=jsbe, train/l1_step=0.00488, train/total_loss_step=0.290]
Epoch 0:  82%|████████▏ | 163/200 [01:20<00:18,  2.03it/s, v_num=jsbe, train/l1_step=0.00488, train/total_loss_step=0.290]
Epoch 0:  82%|████████▏ | 163/200 [01:20<00:18,  2.02it/s, v_num=jsbe, train/l1_step=0.00456, train/total_loss_step=0.341]
Epoch 0:  82%|████████▏ | 164/200 [01:20<00:17,  2.03it/s, v_num=jsbe, train/l1_step=0.00456, train/total_loss_step=0.341]
Epoch 0:  82%|████████▏ | 164/200 [01:21<00:17,  2.02it/s, v_num=jsbe, train/l1_step=0.00481, train/total_loss_step=0.128]
Epoch 0:  82%|████████▎ | 165/200 [01:21<00:17,  2.03it/s, v_num=jsbe, train/l1_step=0.00481, train/total_loss_step=0.128]
Epoch 0:  82%|████████▎ | 165/200 [01:21<00:17,  2.02it/s, v_num=jsbe, train/l1_step=0.00477, train/total_loss_step=0.198]
Epoch 0:  83%|████████▎ | 166/200 [01:21<00:16,  2.03it/s, v_num=jsbe, train/l1_step=0.00477, train/total_loss_step=0.198]
Epoch 0:  83%|████████▎ | 166/200 [01:22<00:16,  2.02it/s, v_num=jsbe, train/l1_step=0.00484, train/total_loss_step=0.246]
Epoch 0:  84%|████████▎ | 167/200 [01:22<00:16,  2.04it/s, v_num=jsbe, train/l1_step=0.00484, train/total_loss_step=0.246]
Epoch 0:  84%|████████▎ | 167/200 [01:22<00:16,  2.02it/s, v_num=jsbe, train/l1_step=0.00461, train/total_loss_step=0.467]
Epoch 0:  84%|████████▍ | 168/200 [01:22<00:15,  2.04it/s, v_num=jsbe, train/l1_step=0.00461, train/total_loss_step=0.467]
Epoch 0:  84%|████████▍ | 168/200 [01:22<00:15,  2.03it/s, v_num=jsbe, train/l1_step=0.00489, train/total_loss_step=0.348]
Epoch 0:  84%|████████▍ | 169/200 [01:22<00:15,  2.04it/s, v_num=jsbe, train/l1_step=0.00489, train/total_loss_step=0.348]
Epoch 0:  84%|████████▍ | 169/200 [01:23<00:15,  2.03it/s, v_num=jsbe, train/l1_step=0.00433, train/total_loss_step=0.284]
Epoch 0:  85%|████████▌ | 170/200 [01:23<00:14,  2.04it/s, v_num=jsbe, train/l1_step=0.00433, train/total_loss_step=0.284]
Epoch 0:  85%|████████▌ | 170/200 [01:23<00:14,  2.03it/s, v_num=jsbe, train/l1_step=0.00439, train/total_loss_step=0.244]
Epoch 0:  86%|████████▌ | 171/200 [01:23<00:14,  2.04it/s, v_num=jsbe, train/l1_step=0.00439, train/total_loss_step=0.244]
Epoch 0:  86%|████████▌ | 171/200 [01:24<00:14,  2.03it/s, v_num=jsbe, train/l1_step=0.00436, train/total_loss_step=0.206]
Epoch 0:  86%|████████▌ | 172/200 [01:24<00:13,  2.04it/s, v_num=jsbe, train/l1_step=0.00436, train/total_loss_step=0.206]
Epoch 0:  86%|████████▌ | 172/200 [01:24<00:13,  2.03it/s, v_num=jsbe, train/l1_step=0.00415, train/total_loss_step=0.179]
Epoch 0:  86%|████████▋ | 173/200 [01:24<00:13,  2.04it/s, v_num=jsbe, train/l1_step=0.00415, train/total_loss_step=0.179]
Epoch 0:  86%|████████▋ | 173/200 [01:25<00:13,  2.03it/s, v_num=jsbe, train/l1_step=0.00527, train/total_loss_step=1.070]
Epoch 0:  87%|████████▋ | 174/200 [01:25<00:12,  2.04it/s, v_num=jsbe, train/l1_step=0.00527, train/total_loss_step=1.070]
Epoch 0:  87%|████████▋ | 174/200 [01:25<00:12,  2.03it/s, v_num=jsbe, train/l1_step=0.00438, train/total_loss_step=0.249]
Epoch 0:  88%|████████▊ | 175/200 [01:25<00:12,  2.04it/s, v_num=jsbe, train/l1_step=0.00438, train/total_loss_step=0.249]
Epoch 0:  88%|████████▊ | 175/200 [01:26<00:12,  2.03it/s, v_num=jsbe, train/l1_step=0.00456, train/total_loss_step=0.288]
Epoch 0:  88%|████████▊ | 176/200 [01:26<00:11,  2.04it/s, v_num=jsbe, train/l1_step=0.00456, train/total_loss_step=0.288]
Epoch 0:  88%|████████▊ | 176/200 [01:26<00:11,  2.03it/s, v_num=jsbe, train/l1_step=0.0046, train/total_loss_step=0.247] 
Epoch 0:  88%|████████▊ | 177/200 [01:26<00:11,  2.04it/s, v_num=jsbe, train/l1_step=0.0046, train/total_loss_step=0.247]
Epoch 0:  88%|████████▊ | 177/200 [01:27<00:11,  2.03it/s, v_num=jsbe, train/l1_step=0.00427, train/total_loss_step=0.283]
Epoch 0:  89%|████████▉ | 178/200 [01:27<00:10,  2.04it/s, v_num=jsbe, train/l1_step=0.00427, train/total_loss_step=0.283]
Epoch 0:  89%|████████▉ | 178/200 [01:27<00:10,  2.03it/s, v_num=jsbe, train/l1_step=0.00463, train/total_loss_step=0.347]
Epoch 0:  90%|████████▉ | 179/200 [01:27<00:10,  2.05it/s, v_num=jsbe, train/l1_step=0.00463, train/total_loss_step=0.347]
Epoch 0:  90%|████████▉ | 179/200 [01:27<00:10,  2.03it/s, v_num=jsbe, train/l1_step=0.00396, train/total_loss_step=0.410]
Epoch 0:  90%|█████████ | 180/200 [01:27<00:09,  2.05it/s, v_num=jsbe, train/l1_step=0.00396, train/total_loss_step=0.410]
Epoch 0:  90%|█████████ | 180/200 [01:28<00:09,  2.04it/s, v_num=jsbe, train/l1_step=0.00503, train/total_loss_step=0.281]
Epoch 0:  90%|█████████ | 181/200 [01:28<00:09,  2.05it/s, v_num=jsbe, train/l1_step=0.00503, train/total_loss_step=0.281]
Epoch 0:  90%|█████████ | 181/200 [01:28<00:09,  2.04it/s, v_num=jsbe, train/l1_step=0.00428, train/total_loss_step=0.250]
Epoch 0:  91%|█████████ | 182/200 [01:28<00:08,  2.05it/s, v_num=jsbe, train/l1_step=0.00428, train/total_loss_step=0.250]
Epoch 0:  91%|█████████ | 182/200 [01:29<00:08,  2.04it/s, v_num=jsbe, train/l1_step=0.00468, train/total_loss_step=0.509]
Epoch 0:  92%|█████████▏| 183/200 [01:29<00:08,  2.05it/s, v_num=jsbe, train/l1_step=0.00468, train/total_loss_step=0.509]
Epoch 0:  92%|█████████▏| 183/200 [01:29<00:08,  2.04it/s, v_num=jsbe, train/l1_step=0.00461, train/total_loss_step=0.299]
Epoch 0:  92%|█████████▏| 184/200 [01:29<00:07,  2.05it/s, v_num=jsbe, train/l1_step=0.00461, train/total_loss_step=0.299]
Epoch 0:  92%|█████████▏| 184/200 [01:30<00:07,  2.04it/s, v_num=jsbe, train/l1_step=0.00397, train/total_loss_step=0.196]
Epoch 0:  92%|█████████▎| 185/200 [01:30<00:07,  2.05it/s, v_num=jsbe, train/l1_step=0.00397, train/total_loss_step=0.196]
Epoch 0:  92%|█████████▎| 185/200 [01:30<00:07,  2.04it/s, v_num=jsbe, train/l1_step=0.00474, train/total_loss_step=0.348]
Epoch 0:  93%|█████████▎| 186/200 [01:30<00:06,  2.05it/s, v_num=jsbe, train/l1_step=0.00474, train/total_loss_step=0.348]
Epoch 0:  93%|█████████▎| 186/200 [01:31<00:06,  2.04it/s, v_num=jsbe, train/l1_step=0.00429, train/total_loss_step=0.356]
Epoch 0:  94%|█████████▎| 187/200 [01:31<00:06,  2.05it/s, v_num=jsbe, train/l1_step=0.00429, train/total_loss_step=0.356]
Epoch 0:  94%|█████████▎| 187/200 [01:31<00:06,  2.04it/s, v_num=jsbe, train/l1_step=0.00432, train/total_loss_step=0.259]
Epoch 0:  94%|█████████▍| 188/200 [01:31<00:05,  2.05it/s, v_num=jsbe, train/l1_step=0.00432, train/total_loss_step=0.259]
Epoch 0:  94%|█████████▍| 188/200 [01:32<00:05,  2.04it/s, v_num=jsbe, train/l1_step=0.00515, train/total_loss_step=0.302]
Epoch 0:  94%|█████████▍| 189/200 [01:32<00:05,  2.05it/s, v_num=jsbe, train/l1_step=0.00515, train/total_loss_step=0.302]
Epoch 0:  94%|█████████▍| 189/200 [01:32<00:05,  2.04it/s, v_num=jsbe, train/l1_step=0.00426, train/total_loss_step=0.187]
Epoch 0:  95%|█████████▌| 190/200 [01:32<00:04,  2.05it/s, v_num=jsbe, train/l1_step=0.00426, train/total_loss_step=0.187]
Epoch 0:  95%|█████████▌| 190/200 [01:32<00:04,  2.04it/s, v_num=jsbe, train/l1_step=0.00464, train/total_loss_step=0.295]
Epoch 0:  96%|█████████▌| 191/200 [01:32<00:04,  2.05it/s, v_num=jsbe, train/l1_step=0.00464, train/total_loss_step=0.295]
Epoch 0:  96%|█████████▌| 191/200 [01:33<00:04,  2.04it/s, v_num=jsbe, train/l1_step=0.0046, train/total_loss_step=0.258] 
Epoch 0:  96%|█████████▌| 192/200 [01:33<00:03,  2.05it/s, v_num=jsbe, train/l1_step=0.0046, train/total_loss_step=0.258]
Epoch 0:  96%|█████████▌| 192/200 [01:33<00:03,  2.05it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.237]
Epoch 0:  96%|█████████▋| 193/200 [01:33<00:03,  2.06it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.237]
Epoch 0:  96%|█████████▋| 193/200 [01:34<00:03,  2.05it/s, v_num=jsbe, train/l1_step=0.00418, train/total_loss_step=0.361]
Epoch 0:  97%|█████████▋| 194/200 [01:34<00:02,  2.06it/s, v_num=jsbe, train/l1_step=0.00418, train/total_loss_step=0.361]
Epoch 0:  97%|█████████▋| 194/200 [01:34<00:02,  2.05it/s, v_num=jsbe, train/l1_step=0.00436, train/total_loss_step=0.314]
Epoch 0:  98%|█████████▊| 195/200 [01:34<00:02,  2.06it/s, v_num=jsbe, train/l1_step=0.00436, train/total_loss_step=0.314]
Epoch 0:  98%|█████████▊| 195/200 [01:35<00:02,  2.05it/s, v_num=jsbe, train/l1_step=0.0038, train/total_loss_step=0.610] 
Epoch 0:  98%|█████████▊| 196/200 [01:35<00:01,  2.06it/s, v_num=jsbe, train/l1_step=0.0038, train/total_loss_step=0.610]
Epoch 0:  98%|█████████▊| 196/200 [01:35<00:01,  2.05it/s, v_num=jsbe, train/l1_step=0.00395, train/total_loss_step=0.256]
Epoch 0:  98%|█████████▊| 197/200 [01:35<00:01,  2.06it/s, v_num=jsbe, train/l1_step=0.00395, train/total_loss_step=0.256]
Epoch 0:  98%|█████████▊| 197/200 [01:36<00:01,  2.05it/s, v_num=jsbe, train/l1_step=0.00412, train/total_loss_step=0.245]
Epoch 0:  99%|█████████▉| 198/200 [01:36<00:00,  2.06it/s, v_num=jsbe, train/l1_step=0.00412, train/total_loss_step=0.245]
Epoch 0:  99%|█████████▉| 198/200 [01:36<00:00,  2.05it/s, v_num=jsbe, train/l1_step=0.00389, train/total_loss_step=0.479]
Epoch 0: 100%|█████████▉| 199/200 [01:36<00:00,  2.06it/s, v_num=jsbe, train/l1_step=0.00389, train/total_loss_step=0.479]
Epoch 0: 100%|█████████▉| 199/200 [01:37<00:00,  2.05it/s, v_num=jsbe, train/l1_step=0.0038, train/total_loss_step=0.341] 
Epoch 0: 100%|██████████| 200/200 [01:37<00:00,  2.06it/s, v_num=jsbe, train/l1_step=0.0038, train/total_loss_step=0.341]
Epoch 0: 100%|██████████| 200/200 [01:37<00:00,  2.05it/s, v_num=jsbe, train/l1_step=0.00388, train/total_loss_step=0.458]
Epoch 0: 100%|██████████| 200/200 [01:37<00:00,  2.04it/s, v_num=jsbe, train/l1_step=0.00388, train/total_loss_step=0.458, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 0:   0%|          | 0/200 [00:00<?, ?it/s, v_num=jsbe, train/l1_step=0.00388, train/total_loss_step=0.458, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]          
Epoch 1:   0%|          | 0/200 [00:00<?, ?it/s, v_num=jsbe, train/l1_step=0.00388, train/total_loss_step=0.458, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   0%|          | 1/200 [00:03<12:01,  0.28it/s, v_num=jsbe, train/l1_step=0.00388, train/total_loss_step=0.458, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   0%|          | 1/200 [00:03<12:39,  0.26it/s, v_num=jsbe, train/l1_step=0.00404, train/total_loss_step=0.218, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   1%|          | 2/200 [00:03<06:18,  0.52it/s, v_num=jsbe, train/l1_step=0.00404, train/total_loss_step=0.218, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   1%|          | 2/200 [00:04<07:02,  0.47it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.356, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▏         | 3/200 [00:04<04:41,  0.70it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.356, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▏         | 3/200 [00:04<05:10,  0.63it/s, v_num=jsbe, train/l1_step=0.00389, train/total_loss_step=0.193, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▏         | 4/200 [00:04<03:52,  0.84it/s, v_num=jsbe, train/l1_step=0.00389, train/total_loss_step=0.193, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▏         | 4/200 [00:05<04:13,  0.77it/s, v_num=jsbe, train/l1_step=0.00349, train/total_loss_step=0.221, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▎         | 5/200 [00:05<03:22,  0.96it/s, v_num=jsbe, train/l1_step=0.00349, train/total_loss_step=0.221, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   2%|▎         | 5/200 [00:05<03:39,  0.89it/s, v_num=jsbe, train/l1_step=0.00401, train/total_loss_step=0.168, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   3%|▎         | 6/200 [00:05<03:02,  1.06it/s, v_num=jsbe, train/l1_step=0.00401, train/total_loss_step=0.168, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   3%|▎         | 6/200 [00:06<03:17,  0.98it/s, v_num=jsbe, train/l1_step=0.00416, train/total_loss_step=0.462, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   4%|▎         | 7/200 [00:06<02:48,  1.15it/s, v_num=jsbe, train/l1_step=0.00416, train/total_loss_step=0.462, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   4%|▎         | 7/200 [00:06<03:00,  1.07it/s, v_num=jsbe, train/l1_step=0.00337, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   4%|▍         | 8/200 [00:06<02:37,  1.22it/s, v_num=jsbe, train/l1_step=0.00337, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   4%|▍         | 8/200 [00:07<02:48,  1.14it/s, v_num=jsbe, train/l1_step=0.0043, train/total_loss_step=0.428, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:   4%|▍         | 9/200 [00:07<02:28,  1.28it/s, v_num=jsbe, train/l1_step=0.0043, train/total_loss_step=0.428, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   4%|▍         | 9/200 [00:07<02:38,  1.21it/s, v_num=jsbe, train/l1_step=0.00365, train/total_loss_step=0.361, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   5%|▌         | 10/200 [00:07<02:22,  1.34it/s, v_num=jsbe, train/l1_step=0.00365, train/total_loss_step=0.361, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   5%|▌         | 10/200 [00:07<02:30,  1.26it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.329, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▌         | 11/200 [00:07<02:16,  1.39it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.329, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▌         | 11/200 [00:08<02:23,  1.31it/s, v_num=jsbe, train/l1_step=0.00347, train/total_loss_step=0.336, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▌         | 12/200 [00:08<02:11,  1.43it/s, v_num=jsbe, train/l1_step=0.00347, train/total_loss_step=0.336, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▌         | 12/200 [00:08<02:18,  1.36it/s, v_num=jsbe, train/l1_step=0.00359, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▋         | 13/200 [00:08<02:07,  1.47it/s, v_num=jsbe, train/l1_step=0.00359, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   6%|▋         | 13/200 [00:09<02:13,  1.40it/s, v_num=jsbe, train/l1_step=0.00327, train/total_loss_step=0.427, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   7%|▋         | 14/200 [00:09<02:03,  1.51it/s, v_num=jsbe, train/l1_step=0.00327, train/total_loss_step=0.427, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   7%|▋         | 14/200 [00:09<02:09,  1.44it/s, v_num=jsbe, train/l1_step=0.00325, train/total_loss_step=0.270, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 15/200 [00:09<02:00,  1.54it/s, v_num=jsbe, train/l1_step=0.00325, train/total_loss_step=0.270, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 15/200 [00:10<02:05,  1.47it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.237, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 16/200 [00:10<01:57,  1.57it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.237, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 16/200 [00:10<02:02,  1.50it/s, v_num=jsbe, train/l1_step=0.00338, train/total_loss_step=0.204, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 17/200 [00:10<01:54,  1.59it/s, v_num=jsbe, train/l1_step=0.00338, train/total_loss_step=0.204, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   8%|▊         | 17/200 [00:11<01:59,  1.53it/s, v_num=jsbe, train/l1_step=0.00328, train/total_loss_step=0.222, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   9%|▉         | 18/200 [00:11<01:52,  1.62it/s, v_num=jsbe, train/l1_step=0.00328, train/total_loss_step=0.222, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:   9%|▉         | 18/200 [00:11<01:56,  1.56it/s, v_num=jsbe, train/l1_step=0.00325, train/total_loss_step=0.371, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|▉         | 19/200 [00:11<01:50,  1.64it/s, v_num=jsbe, train/l1_step=0.00325, train/total_loss_step=0.371, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|▉         | 19/200 [00:12<01:54,  1.58it/s, v_num=jsbe, train/l1_step=0.00362, train/total_loss_step=0.161, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|█         | 20/200 [00:12<01:48,  1.66it/s, v_num=jsbe, train/l1_step=0.00362, train/total_loss_step=0.161, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|█         | 20/200 [00:12<01:52,  1.60it/s, v_num=jsbe, train/l1_step=0.00312, train/total_loss_step=0.228, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|█         | 21/200 [00:12<01:46,  1.68it/s, v_num=jsbe, train/l1_step=0.00312, train/total_loss_step=0.228, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  10%|█         | 21/200 [00:12<01:50,  1.62it/s, v_num=jsbe, train/l1_step=0.00326, train/total_loss_step=0.337, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  11%|█         | 22/200 [00:12<01:44,  1.70it/s, v_num=jsbe, train/l1_step=0.00326, train/total_loss_step=0.337, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  11%|█         | 22/200 [00:13<01:48,  1.64it/s, v_num=jsbe, train/l1_step=0.00332, train/total_loss_step=0.223, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▏        | 23/200 [00:13<01:43,  1.72it/s, v_num=jsbe, train/l1_step=0.00332, train/total_loss_step=0.223, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▏        | 23/200 [00:13<01:46,  1.66it/s, v_num=jsbe, train/l1_step=0.00353, train/total_loss_step=0.581, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▏        | 24/200 [00:13<01:41,  1.73it/s, v_num=jsbe, train/l1_step=0.00353, train/total_loss_step=0.581, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▏        | 24/200 [00:14<01:44,  1.68it/s, v_num=jsbe, train/l1_step=0.00299, train/total_loss_step=0.536, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▎        | 25/200 [00:14<01:40,  1.75it/s, v_num=jsbe, train/l1_step=0.00299, train/total_loss_step=0.536, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  12%|█▎        | 25/200 [00:14<01:43,  1.69it/s, v_num=jsbe, train/l1_step=0.00335, train/total_loss_step=0.286, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  13%|█▎        | 26/200 [00:14<01:38,  1.76it/s, v_num=jsbe, train/l1_step=0.00335, train/total_loss_step=0.286, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  13%|█▎        | 26/200 [00:15<01:41,  1.71it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.403, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▎        | 27/200 [00:15<01:37,  1.77it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.403, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▎        | 27/200 [00:15<01:40,  1.72it/s, v_num=jsbe, train/l1_step=0.00343, train/total_loss_step=0.290, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▍        | 28/200 [00:15<01:36,  1.79it/s, v_num=jsbe, train/l1_step=0.00343, train/total_loss_step=0.290, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▍        | 28/200 [00:16<01:39,  1.74it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▍        | 29/200 [00:16<01:35,  1.80it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  14%|█▍        | 29/200 [00:16<01:37,  1.75it/s, v_num=jsbe, train/l1_step=0.00317, train/total_loss_step=0.418, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  15%|█▌        | 30/200 [00:16<01:33,  1.81it/s, v_num=jsbe, train/l1_step=0.00317, train/total_loss_step=0.418, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  15%|█▌        | 30/200 [00:17<01:36,  1.76it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.341, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▌        | 31/200 [00:17<01:32,  1.82it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.341, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▌        | 31/200 [00:17<01:35,  1.77it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.352, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▌        | 32/200 [00:17<01:31,  1.83it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.352, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▌        | 32/200 [00:17<01:34,  1.78it/s, v_num=jsbe, train/l1_step=0.00351, train/total_loss_step=0.265, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▋        | 33/200 [00:17<01:30,  1.84it/s, v_num=jsbe, train/l1_step=0.00351, train/total_loss_step=0.265, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  16%|█▋        | 33/200 [00:18<01:33,  1.79it/s, v_num=jsbe, train/l1_step=0.00383, train/total_loss_step=0.299, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  17%|█▋        | 34/200 [00:18<01:29,  1.85it/s, v_num=jsbe, train/l1_step=0.00383, train/total_loss_step=0.299, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  17%|█▋        | 34/200 [00:18<01:32,  1.80it/s, v_num=jsbe, train/l1_step=0.00377, train/total_loss_step=0.296, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 35/200 [00:18<01:28,  1.86it/s, v_num=jsbe, train/l1_step=0.00377, train/total_loss_step=0.296, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 35/200 [00:19<01:31,  1.81it/s, v_num=jsbe, train/l1_step=0.00311, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 36/200 [00:19<01:27,  1.86it/s, v_num=jsbe, train/l1_step=0.00311, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 36/200 [00:19<01:30,  1.82it/s, v_num=jsbe, train/l1_step=0.00372, train/total_loss_step=0.448, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 37/200 [00:19<01:27,  1.87it/s, v_num=jsbe, train/l1_step=0.00372, train/total_loss_step=0.448, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  18%|█▊        | 37/200 [00:20<01:29,  1.83it/s, v_num=jsbe, train/l1_step=0.00314, train/total_loss_step=0.224, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  19%|█▉        | 38/200 [00:20<01:26,  1.88it/s, v_num=jsbe, train/l1_step=0.00314, train/total_loss_step=0.224, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  19%|█▉        | 38/200 [00:20<01:28,  1.84it/s, v_num=jsbe, train/l1_step=0.00304, train/total_loss_step=0.172, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|█▉        | 39/200 [00:20<01:25,  1.89it/s, v_num=jsbe, train/l1_step=0.00304, train/total_loss_step=0.172, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|█▉        | 39/200 [00:21<01:27,  1.85it/s, v_num=jsbe, train/l1_step=0.00367, train/total_loss_step=0.208, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|██        | 40/200 [00:21<01:24,  1.89it/s, v_num=jsbe, train/l1_step=0.00367, train/total_loss_step=0.208, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|██        | 40/200 [00:21<01:26,  1.85it/s, v_num=jsbe, train/l1_step=0.00327, train/total_loss_step=0.115, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|██        | 41/200 [00:21<01:23,  1.90it/s, v_num=jsbe, train/l1_step=0.00327, train/total_loss_step=0.115, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  20%|██        | 41/200 [00:22<01:25,  1.86it/s, v_num=jsbe, train/l1_step=0.00297, train/total_loss_step=0.125, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  21%|██        | 42/200 [00:22<01:22,  1.90it/s, v_num=jsbe, train/l1_step=0.00297, train/total_loss_step=0.125, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  21%|██        | 42/200 [00:22<01:24,  1.87it/s, v_num=jsbe, train/l1_step=0.00359, train/total_loss_step=1.530, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  22%|██▏       | 43/200 [00:22<01:22,  1.91it/s, v_num=jsbe, train/l1_step=0.00359, train/total_loss_step=1.530, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  22%|██▏       | 43/200 [00:22<01:23,  1.87it/s, v_num=jsbe, train/l1_step=0.0029, train/total_loss_step=0.291, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  22%|██▏       | 44/200 [00:22<01:21,  1.92it/s, v_num=jsbe, train/l1_step=0.0029, train/total_loss_step=0.291, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  22%|██▏       | 44/200 [00:23<01:22,  1.88it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.269, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  22%|██▎       | 45/200 [00:23<01:20,  1.92it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.269, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  22%|██▎       | 45/200 [00:23<01:22,  1.89it/s, v_num=jsbe, train/l1_step=0.00354, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  23%|██▎       | 46/200 [00:23<01:19,  1.93it/s, v_num=jsbe, train/l1_step=0.00354, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  23%|██▎       | 46/200 [00:24<01:21,  1.89it/s, v_num=jsbe, train/l1_step=0.00324, train/total_loss_step=0.263, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  24%|██▎       | 47/200 [00:24<01:19,  1.93it/s, v_num=jsbe, train/l1_step=0.00324, train/total_loss_step=0.263, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  24%|██▎       | 47/200 [00:24<01:20,  1.90it/s, v_num=jsbe, train/l1_step=0.00328, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  24%|██▍       | 48/200 [00:24<01:18,  1.94it/s, v_num=jsbe, train/l1_step=0.00328, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  24%|██▍       | 48/200 [00:25<01:19,  1.90it/s, v_num=jsbe, train/l1_step=0.0036, train/total_loss_step=0.301, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  24%|██▍       | 49/200 [00:25<01:17,  1.94it/s, v_num=jsbe, train/l1_step=0.0036, train/total_loss_step=0.301, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  24%|██▍       | 49/200 [00:25<01:19,  1.91it/s, v_num=jsbe, train/l1_step=0.00369, train/total_loss_step=0.366, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  25%|██▌       | 50/200 [00:25<01:17,  1.95it/s, v_num=jsbe, train/l1_step=0.00369, train/total_loss_step=0.366, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  25%|██▌       | 50/200 [00:26<01:18,  1.91it/s, v_num=jsbe, train/l1_step=0.00354, train/total_loss_step=0.369, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▌       | 51/200 [00:26<01:17,  1.92it/s, v_num=jsbe, train/l1_step=0.00354, train/total_loss_step=0.369, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▌       | 51/200 [00:26<01:18,  1.91it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.438, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▌       | 52/200 [00:26<01:16,  1.94it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.438, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▌       | 52/200 [00:27<01:17,  1.91it/s, v_num=jsbe, train/l1_step=0.00295, train/total_loss_step=0.336, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▋       | 53/200 [00:27<01:15,  1.95it/s, v_num=jsbe, train/l1_step=0.00295, train/total_loss_step=0.336, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  26%|██▋       | 53/200 [00:27<01:16,  1.92it/s, v_num=jsbe, train/l1_step=0.00296, train/total_loss_step=0.372, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  27%|██▋       | 54/200 [00:27<01:14,  1.95it/s, v_num=jsbe, train/l1_step=0.00296, train/total_loss_step=0.372, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  27%|██▋       | 54/200 [00:28<01:15,  1.92it/s, v_num=jsbe, train/l1_step=0.00331, train/total_loss_step=0.304, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 55/200 [00:28<01:14,  1.96it/s, v_num=jsbe, train/l1_step=0.00331, train/total_loss_step=0.304, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 55/200 [00:28<01:15,  1.93it/s, v_num=jsbe, train/l1_step=0.00307, train/total_loss_step=0.400, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 56/200 [00:28<01:13,  1.96it/s, v_num=jsbe, train/l1_step=0.00307, train/total_loss_step=0.400, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 56/200 [00:29<01:14,  1.93it/s, v_num=jsbe, train/l1_step=0.00299, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 57/200 [00:29<01:12,  1.96it/s, v_num=jsbe, train/l1_step=0.00299, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  28%|██▊       | 57/200 [00:29<01:13,  1.93it/s, v_num=jsbe, train/l1_step=0.00303, train/total_loss_step=0.161, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  29%|██▉       | 58/200 [00:29<01:12,  1.97it/s, v_num=jsbe, train/l1_step=0.00303, train/total_loss_step=0.161, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  29%|██▉       | 58/200 [00:29<01:13,  1.94it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.211, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|██▉       | 59/200 [00:29<01:11,  1.97it/s, v_num=jsbe, train/l1_step=0.00334, train/total_loss_step=0.211, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|██▉       | 59/200 [00:30<01:12,  1.94it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.192, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|███       | 60/200 [00:30<01:10,  1.97it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.192, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|███       | 60/200 [00:30<01:11,  1.95it/s, v_num=jsbe, train/l1_step=0.00273, train/total_loss_step=0.212, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|███       | 61/200 [00:30<01:10,  1.98it/s, v_num=jsbe, train/l1_step=0.00273, train/total_loss_step=0.212, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  30%|███       | 61/200 [00:31<01:11,  1.95it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.721, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  31%|███       | 62/200 [00:31<01:09,  1.98it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.721, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  31%|███       | 62/200 [00:31<01:10,  1.95it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.150, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▏      | 63/200 [00:31<01:09,  1.98it/s, v_num=jsbe, train/l1_step=0.00298, train/total_loss_step=0.150, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▏      | 63/200 [00:32<01:10,  1.96it/s, v_num=jsbe, train/l1_step=0.00309, train/total_loss_step=0.570, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▏      | 64/200 [00:32<01:08,  1.99it/s, v_num=jsbe, train/l1_step=0.00309, train/total_loss_step=0.570, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▏      | 64/200 [00:32<01:09,  1.96it/s, v_num=jsbe, train/l1_step=0.00309, train/total_loss_step=0.176, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▎      | 65/200 [00:32<01:07,  1.99it/s, v_num=jsbe, train/l1_step=0.00309, train/total_loss_step=0.176, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  32%|███▎      | 65/200 [00:33<01:08,  1.96it/s, v_num=jsbe, train/l1_step=0.00286, train/total_loss_step=0.559, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  33%|███▎      | 66/200 [00:33<01:07,  1.99it/s, v_num=jsbe, train/l1_step=0.00286, train/total_loss_step=0.559, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  33%|███▎      | 66/200 [00:33<01:08,  1.97it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.352, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▎      | 67/200 [00:33<01:06,  2.00it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.352, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▎      | 67/200 [00:34<01:07,  1.97it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.730, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▍      | 68/200 [00:34<01:06,  2.00it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.730, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▍      | 68/200 [00:34<01:06,  1.97it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.422, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▍      | 69/200 [00:34<01:05,  2.00it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.422, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  34%|███▍      | 69/200 [00:34<01:06,  1.98it/s, v_num=jsbe, train/l1_step=0.00352, train/total_loss_step=0.311, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  35%|███▌      | 70/200 [00:34<01:04,  2.00it/s, v_num=jsbe, train/l1_step=0.00352, train/total_loss_step=0.311, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  35%|███▌      | 70/200 [00:35<01:05,  1.98it/s, v_num=jsbe, train/l1_step=0.0042, train/total_loss_step=0.405, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  36%|███▌      | 71/200 [00:35<01:04,  2.01it/s, v_num=jsbe, train/l1_step=0.0042, train/total_loss_step=0.405, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  36%|███▌      | 71/200 [00:35<01:05,  1.98it/s, v_num=jsbe, train/l1_step=0.00528, train/total_loss_step=0.413, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  36%|███▌      | 72/200 [00:35<01:03,  2.01it/s, v_num=jsbe, train/l1_step=0.00528, train/total_loss_step=0.413, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  36%|███▌      | 72/200 [00:36<01:04,  1.98it/s, v_num=jsbe, train/l1_step=0.00676, train/total_loss_step=0.397, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  36%|███▋      | 73/200 [00:36<01:03,  2.01it/s, v_num=jsbe, train/l1_step=0.00676, train/total_loss_step=0.397, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  36%|███▋      | 73/200 [00:36<01:03,  1.99it/s, v_num=jsbe, train/l1_step=0.00552, train/total_loss_step=0.347, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  37%|███▋      | 74/200 [00:36<01:02,  2.01it/s, v_num=jsbe, train/l1_step=0.00552, train/total_loss_step=0.347, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  37%|███▋      | 74/200 [00:37<01:03,  1.99it/s, v_num=jsbe, train/l1_step=0.00322, train/total_loss_step=0.322, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 75/200 [00:37<01:02,  2.01it/s, v_num=jsbe, train/l1_step=0.00322, train/total_loss_step=0.322, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 75/200 [00:37<01:02,  1.99it/s, v_num=jsbe, train/l1_step=0.00293, train/total_loss_step=0.254, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 76/200 [00:37<01:01,  2.02it/s, v_num=jsbe, train/l1_step=0.00293, train/total_loss_step=0.254, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 76/200 [00:38<01:02,  1.99it/s, v_num=jsbe, train/l1_step=0.00479, train/total_loss_step=0.203, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 77/200 [00:38<01:00,  2.02it/s, v_num=jsbe, train/l1_step=0.00479, train/total_loss_step=0.203, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  38%|███▊      | 77/200 [00:38<01:01,  2.00it/s, v_num=jsbe, train/l1_step=0.00342, train/total_loss_step=0.284, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  39%|███▉      | 78/200 [00:38<01:00,  2.02it/s, v_num=jsbe, train/l1_step=0.00342, train/total_loss_step=0.284, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  39%|███▉      | 78/200 [00:39<01:01,  2.00it/s, v_num=jsbe, train/l1_step=0.00362, train/total_loss_step=0.158, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|███▉      | 79/200 [00:39<00:59,  2.02it/s, v_num=jsbe, train/l1_step=0.00362, train/total_loss_step=0.158, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|███▉      | 79/200 [00:39<01:00,  2.00it/s, v_num=jsbe, train/l1_step=0.00395, train/total_loss_step=0.277, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|████      | 80/200 [00:39<00:59,  2.03it/s, v_num=jsbe, train/l1_step=0.00395, train/total_loss_step=0.277, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|████      | 80/200 [00:39<00:59,  2.00it/s, v_num=jsbe, train/l1_step=0.00296, train/total_loss_step=0.292, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|████      | 81/200 [00:39<00:58,  2.03it/s, v_num=jsbe, train/l1_step=0.00296, train/total_loss_step=0.292, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  40%|████      | 81/200 [00:40<00:59,  2.00it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  41%|████      | 82/200 [00:40<00:58,  2.03it/s, v_num=jsbe, train/l1_step=0.00411, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  41%|████      | 82/200 [00:40<00:58,  2.01it/s, v_num=jsbe, train/l1_step=0.00288, train/total_loss_step=0.210, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  42%|████▏     | 83/200 [00:40<00:57,  2.03it/s, v_num=jsbe, train/l1_step=0.00288, train/total_loss_step=0.210, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  42%|████▏     | 83/200 [00:41<00:58,  2.01it/s, v_num=jsbe, train/l1_step=0.0034, train/total_loss_step=0.132, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  42%|████▏     | 84/200 [00:41<00:57,  2.03it/s, v_num=jsbe, train/l1_step=0.0034, train/total_loss_step=0.132, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  42%|████▏     | 84/200 [00:41<00:57,  2.01it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.120, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  42%|████▎     | 85/200 [00:41<00:56,  2.03it/s, v_num=jsbe, train/l1_step=0.00356, train/total_loss_step=0.120, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  42%|████▎     | 85/200 [00:42<00:57,  2.01it/s, v_num=jsbe, train/l1_step=0.00249, train/total_loss_step=0.464, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  43%|████▎     | 86/200 [00:42<00:55,  2.04it/s, v_num=jsbe, train/l1_step=0.00249, train/total_loss_step=0.464, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  43%|████▎     | 86/200 [00:42<00:56,  2.02it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.170, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▎     | 87/200 [00:42<00:55,  2.04it/s, v_num=jsbe, train/l1_step=0.00358, train/total_loss_step=0.170, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▎     | 87/200 [00:43<00:56,  2.02it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.162, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▍     | 88/200 [00:43<00:54,  2.04it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.162, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▍     | 88/200 [00:43<00:55,  2.02it/s, v_num=jsbe, train/l1_step=0.00302, train/total_loss_step=0.185, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▍     | 89/200 [00:43<00:54,  2.04it/s, v_num=jsbe, train/l1_step=0.00302, train/total_loss_step=0.185, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  44%|████▍     | 89/200 [00:44<00:54,  2.02it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.380, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  45%|████▌     | 90/200 [00:44<00:53,  2.04it/s, v_num=jsbe, train/l1_step=0.00344, train/total_loss_step=0.380, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  45%|████▌     | 90/200 [00:44<00:54,  2.02it/s, v_num=jsbe, train/l1_step=0.00289, train/total_loss_step=0.703, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▌     | 91/200 [00:44<00:53,  2.04it/s, v_num=jsbe, train/l1_step=0.00289, train/total_loss_step=0.703, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▌     | 91/200 [00:44<00:53,  2.02it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.173, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▌     | 92/200 [00:44<00:52,  2.05it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.173, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▌     | 92/200 [00:45<00:53,  2.03it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=0.293, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▋     | 93/200 [00:45<00:52,  2.05it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=0.293, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  46%|████▋     | 93/200 [00:45<00:52,  2.03it/s, v_num=jsbe, train/l1_step=0.0027, train/total_loss_step=0.323, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  47%|████▋     | 94/200 [00:45<00:51,  2.05it/s, v_num=jsbe, train/l1_step=0.0027, train/total_loss_step=0.323, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  47%|████▋     | 94/200 [00:46<00:52,  2.03it/s, v_num=jsbe, train/l1_step=0.00297, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 95/200 [00:46<00:51,  2.05it/s, v_num=jsbe, train/l1_step=0.00297, train/total_loss_step=0.334, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 95/200 [00:46<00:51,  2.03it/s, v_num=jsbe, train/l1_step=0.00252, train/total_loss_step=0.325, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 96/200 [00:46<00:50,  2.05it/s, v_num=jsbe, train/l1_step=0.00252, train/total_loss_step=0.325, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 96/200 [00:47<00:51,  2.03it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.222, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 97/200 [00:47<00:50,  2.05it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.222, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  48%|████▊     | 97/200 [00:47<00:50,  2.03it/s, v_num=jsbe, train/l1_step=0.00264, train/total_loss_step=0.301, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  49%|████▉     | 98/200 [00:47<00:49,  2.05it/s, v_num=jsbe, train/l1_step=0.00264, train/total_loss_step=0.301, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  49%|████▉     | 98/200 [00:48<00:50,  2.04it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.282, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|████▉     | 99/200 [00:48<00:49,  2.06it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.282, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|████▉     | 99/200 [00:48<00:49,  2.04it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.395, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|█████     | 100/200 [00:48<00:48,  2.06it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.395, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|█████     | 100/200 [00:49<00:49,  2.04it/s, v_num=jsbe, train/l1_step=0.00263, train/total_loss_step=0.320, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|█████     | 101/200 [00:49<00:48,  2.03it/s, v_num=jsbe, train/l1_step=0.00263, train/total_loss_step=0.320, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  50%|█████     | 101/200 [00:49<00:48,  2.02it/s, v_num=jsbe, train/l1_step=0.0028, train/total_loss_step=0.339, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  51%|█████     | 102/200 [00:49<00:47,  2.04it/s, v_num=jsbe, train/l1_step=0.0028, train/total_loss_step=0.339, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  51%|█████     | 102/200 [00:50<00:48,  2.03it/s, v_num=jsbe, train/l1_step=0.00271, train/total_loss_step=0.269, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▏    | 103/200 [00:50<00:47,  2.04it/s, v_num=jsbe, train/l1_step=0.00271, train/total_loss_step=0.269, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▏    | 103/200 [00:50<00:47,  2.03it/s, v_num=jsbe, train/l1_step=0.00263, train/total_loss_step=0.209, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▏    | 104/200 [00:50<00:46,  2.05it/s, v_num=jsbe, train/l1_step=0.00263, train/total_loss_step=0.209, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▏    | 104/200 [00:51<00:47,  2.03it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=1.000, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▎    | 105/200 [00:51<00:46,  2.05it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=1.000, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  52%|█████▎    | 105/200 [00:51<00:46,  2.03it/s, v_num=jsbe, train/l1_step=0.00278, train/total_loss_step=0.326, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  53%|█████▎    | 106/200 [00:51<00:45,  2.05it/s, v_num=jsbe, train/l1_step=0.00278, train/total_loss_step=0.326, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  53%|█████▎    | 106/200 [00:52<00:46,  2.03it/s, v_num=jsbe, train/l1_step=0.00265, train/total_loss_step=0.285, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  54%|█████▎    | 107/200 [00:52<00:45,  2.05it/s, v_num=jsbe, train/l1_step=0.00265, train/total_loss_step=0.285, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  54%|█████▎    | 107/200 [00:52<00:45,  2.03it/s, v_num=jsbe, train/l1_step=0.00281, train/total_loss_step=0.259, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  54%|█████▍    | 108/200 [00:52<00:44,  2.05it/s, v_num=jsbe, train/l1_step=0.00281, train/total_loss_step=0.259, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  54%|█████▍    | 108/200 [00:53<00:45,  2.03it/s, v_num=jsbe, train/l1_step=0.00274, train/total_loss_step=0.268, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  55%|█████▍    | 109/200 [00:53<00:44,  2.05it/s, v_num=jsbe, train/l1_step=0.00274, train/total_loss_step=0.268, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  55%|█████▍    | 109/200 [00:53<00:44,  2.04it/s, v_num=jsbe, train/l1_step=0.00281, train/total_loss_step=0.228, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  55%|█████▌    | 110/200 [00:53<00:43,  2.05it/s, v_num=jsbe, train/l1_step=0.00281, train/total_loss_step=0.228, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  55%|█████▌    | 110/200 [00:54<00:44,  2.04it/s, v_num=jsbe, train/l1_step=0.00242, train/total_loss_step=0.374, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▌    | 111/200 [00:54<00:43,  2.05it/s, v_num=jsbe, train/l1_step=0.00242, train/total_loss_step=0.374, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▌    | 111/200 [00:54<00:43,  2.04it/s, v_num=jsbe, train/l1_step=0.00253, train/total_loss_step=0.256, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▌    | 112/200 [00:54<00:42,  2.06it/s, v_num=jsbe, train/l1_step=0.00253, train/total_loss_step=0.256, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▌    | 112/200 [00:54<00:43,  2.04it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.220, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▋    | 113/200 [00:54<00:42,  2.06it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.220, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  56%|█████▋    | 113/200 [00:55<00:42,  2.04it/s, v_num=jsbe, train/l1_step=0.00257, train/total_loss_step=0.340, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  57%|█████▋    | 114/200 [00:55<00:41,  2.06it/s, v_num=jsbe, train/l1_step=0.00257, train/total_loss_step=0.340, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  57%|█████▋    | 114/200 [00:55<00:42,  2.04it/s, v_num=jsbe, train/l1_step=0.0024, train/total_loss_step=0.224, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  57%|█████▊    | 115/200 [00:55<00:41,  2.06it/s, v_num=jsbe, train/l1_step=0.0024, train/total_loss_step=0.224, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  57%|█████▊    | 115/200 [00:56<00:41,  2.04it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  58%|█████▊    | 116/200 [00:56<00:40,  2.06it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  58%|█████▊    | 116/200 [00:56<00:41,  2.04it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.187, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  58%|█████▊    | 117/200 [00:56<00:40,  2.06it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.187, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  58%|█████▊    | 117/200 [00:57<00:40,  2.05it/s, v_num=jsbe, train/l1_step=0.00272, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  59%|█████▉    | 118/200 [00:57<00:39,  2.06it/s, v_num=jsbe, train/l1_step=0.00272, train/total_loss_step=0.247, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  59%|█████▉    | 118/200 [00:57<00:40,  2.05it/s, v_num=jsbe, train/l1_step=0.00285, train/total_loss_step=0.127, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|█████▉    | 119/200 [00:57<00:39,  2.06it/s, v_num=jsbe, train/l1_step=0.00285, train/total_loss_step=0.127, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|█████▉    | 119/200 [00:58<00:39,  2.05it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.226, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|██████    | 120/200 [00:58<00:38,  2.06it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.226, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|██████    | 120/200 [00:58<00:39,  2.05it/s, v_num=jsbe, train/l1_step=0.00237, train/total_loss_step=0.157, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|██████    | 121/200 [00:58<00:38,  2.07it/s, v_num=jsbe, train/l1_step=0.00237, train/total_loss_step=0.157, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  60%|██████    | 121/200 [00:59<00:38,  2.05it/s, v_num=jsbe, train/l1_step=0.00264, train/total_loss_step=0.424, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  61%|██████    | 122/200 [00:59<00:37,  2.07it/s, v_num=jsbe, train/l1_step=0.00264, train/total_loss_step=0.424, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  61%|██████    | 122/200 [00:59<00:38,  2.05it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.132, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  62%|██████▏   | 123/200 [00:59<00:37,  2.07it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.132, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  62%|██████▏   | 123/200 [00:59<00:37,  2.05it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.345, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  62%|██████▏   | 124/200 [00:59<00:36,  2.07it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.345, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  62%|██████▏   | 124/200 [01:00<00:37,  2.05it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.595, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  62%|██████▎   | 125/200 [01:00<00:36,  2.07it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.595, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  62%|██████▎   | 125/200 [01:00<00:36,  2.05it/s, v_num=jsbe, train/l1_step=0.00257, train/total_loss_step=0.230, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  63%|██████▎   | 126/200 [01:00<00:35,  2.07it/s, v_num=jsbe, train/l1_step=0.00257, train/total_loss_step=0.230, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  63%|██████▎   | 126/200 [01:01<00:36,  2.06it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.119, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▎   | 127/200 [01:01<00:35,  2.07it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.119, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▎   | 127/200 [01:01<00:35,  2.06it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.283, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▍   | 128/200 [01:01<00:34,  2.07it/s, v_num=jsbe, train/l1_step=0.00248, train/total_loss_step=0.283, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▍   | 128/200 [01:02<00:34,  2.06it/s, v_num=jsbe, train/l1_step=0.00266, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▍   | 129/200 [01:02<00:34,  2.07it/s, v_num=jsbe, train/l1_step=0.00266, train/total_loss_step=0.272, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  64%|██████▍   | 129/200 [01:02<00:34,  2.06it/s, v_num=jsbe, train/l1_step=0.00291, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  65%|██████▌   | 130/200 [01:02<00:33,  2.07it/s, v_num=jsbe, train/l1_step=0.00291, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  65%|██████▌   | 130/200 [01:03<00:33,  2.06it/s, v_num=jsbe, train/l1_step=0.00269, train/total_loss_step=0.387, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  66%|██████▌   | 131/200 [01:03<00:33,  2.07it/s, v_num=jsbe, train/l1_step=0.00269, train/total_loss_step=0.387, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  66%|██████▌   | 131/200 [01:03<00:33,  2.06it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.719, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  66%|██████▌   | 132/200 [01:03<00:32,  2.08it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.719, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  66%|██████▌   | 132/200 [01:04<00:32,  2.06it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.207, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  66%|██████▋   | 133/200 [01:04<00:32,  2.08it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.207, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  66%|██████▋   | 133/200 [01:04<00:32,  2.06it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.234, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  67%|██████▋   | 134/200 [01:04<00:31,  2.08it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.234, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  67%|██████▋   | 134/200 [01:04<00:31,  2.06it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 135/200 [01:04<00:31,  2.08it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 135/200 [01:05<00:31,  2.06it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.288, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 136/200 [01:05<00:30,  2.08it/s, v_num=jsbe, train/l1_step=0.00256, train/total_loss_step=0.288, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 136/200 [01:05<00:30,  2.07it/s, v_num=jsbe, train/l1_step=0.00276, train/total_loss_step=0.285, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 137/200 [01:05<00:30,  2.08it/s, v_num=jsbe, train/l1_step=0.00276, train/total_loss_step=0.285, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  68%|██████▊   | 137/200 [01:06<00:30,  2.07it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.255, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  69%|██████▉   | 138/200 [01:06<00:29,  2.08it/s, v_num=jsbe, train/l1_step=0.00275, train/total_loss_step=0.255, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  69%|██████▉   | 138/200 [01:06<00:29,  2.07it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.363, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|██████▉   | 139/200 [01:06<00:29,  2.08it/s, v_num=jsbe, train/l1_step=0.00245, train/total_loss_step=0.363, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|██████▉   | 139/200 [01:07<00:29,  2.07it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.265, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|███████   | 140/200 [01:07<00:28,  2.08it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.265, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|███████   | 140/200 [01:07<00:29,  2.07it/s, v_num=jsbe, train/l1_step=0.00214, train/total_loss_step=0.190, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|███████   | 141/200 [01:07<00:28,  2.08it/s, v_num=jsbe, train/l1_step=0.00214, train/total_loss_step=0.190, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  70%|███████   | 141/200 [01:08<00:28,  2.07it/s, v_num=jsbe, train/l1_step=0.00235, train/total_loss_step=0.196, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  71%|███████   | 142/200 [01:08<00:27,  2.08it/s, v_num=jsbe, train/l1_step=0.00235, train/total_loss_step=0.196, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  71%|███████   | 142/200 [01:08<00:28,  2.07it/s, v_num=jsbe, train/l1_step=0.0024, train/total_loss_step=0.397, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  72%|███████▏  | 143/200 [01:08<00:27,  2.08it/s, v_num=jsbe, train/l1_step=0.0024, train/total_loss_step=0.397, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  72%|███████▏  | 143/200 [01:09<00:27,  2.07it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  72%|███████▏  | 144/200 [01:09<00:26,  2.09it/s, v_num=jsbe, train/l1_step=0.00236, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  72%|███████▏  | 144/200 [01:09<00:27,  2.07it/s, v_num=jsbe, train/l1_step=0.00244, train/total_loss_step=0.239, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  72%|███████▎  | 145/200 [01:09<00:26,  2.09it/s, v_num=jsbe, train/l1_step=0.00244, train/total_loss_step=0.239, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  72%|███████▎  | 145/200 [01:09<00:26,  2.07it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  73%|███████▎  | 146/200 [01:09<00:25,  2.09it/s, v_num=jsbe, train/l1_step=0.0025, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  73%|███████▎  | 146/200 [01:10<00:26,  2.07it/s, v_num=jsbe, train/l1_step=0.00221, train/total_loss_step=0.109, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▎  | 147/200 [01:10<00:25,  2.09it/s, v_num=jsbe, train/l1_step=0.00221, train/total_loss_step=0.109, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▎  | 147/200 [01:10<00:25,  2.07it/s, v_num=jsbe, train/l1_step=0.00237, train/total_loss_step=0.429, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▍  | 148/200 [01:10<00:24,  2.09it/s, v_num=jsbe, train/l1_step=0.00237, train/total_loss_step=0.429, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▍  | 148/200 [01:11<00:25,  2.08it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.146, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▍  | 149/200 [01:11<00:24,  2.09it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.146, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  74%|███████▍  | 149/200 [01:11<00:24,  2.08it/s, v_num=jsbe, train/l1_step=0.00188, train/total_loss_step=0.317, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  75%|███████▌  | 150/200 [01:11<00:23,  2.09it/s, v_num=jsbe, train/l1_step=0.00188, train/total_loss_step=0.317, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  75%|███████▌  | 150/200 [01:12<00:24,  2.08it/s, v_num=jsbe, train/l1_step=0.00213, train/total_loss_step=0.262, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▌  | 151/200 [01:12<00:23,  2.08it/s, v_num=jsbe, train/l1_step=0.00213, train/total_loss_step=0.262, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▌  | 151/200 [01:12<00:23,  2.07it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.155, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▌  | 152/200 [01:12<00:22,  2.09it/s, v_num=jsbe, train/l1_step=0.00238, train/total_loss_step=0.155, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▌  | 152/200 [01:13<00:23,  2.07it/s, v_num=jsbe, train/l1_step=0.00188, train/total_loss_step=0.372, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▋  | 153/200 [01:13<00:22,  2.09it/s, v_num=jsbe, train/l1_step=0.00188, train/total_loss_step=0.372, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  76%|███████▋  | 153/200 [01:13<00:22,  2.08it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.178, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  77%|███████▋  | 154/200 [01:13<00:22,  2.09it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.178, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  77%|███████▋  | 154/200 [01:14<00:22,  2.08it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.186, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 155/200 [01:14<00:21,  2.09it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.186, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 155/200 [01:14<00:21,  2.08it/s, v_num=jsbe, train/l1_step=0.00196, train/total_loss_step=0.225, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 156/200 [01:14<00:21,  2.09it/s, v_num=jsbe, train/l1_step=0.00196, train/total_loss_step=0.225, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 156/200 [01:15<00:21,  2.08it/s, v_num=jsbe, train/l1_step=0.00179, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 157/200 [01:15<00:20,  2.09it/s, v_num=jsbe, train/l1_step=0.00179, train/total_loss_step=0.278, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  78%|███████▊  | 157/200 [01:15<00:20,  2.08it/s, v_num=jsbe, train/l1_step=0.00198, train/total_loss_step=0.204, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  79%|███████▉  | 158/200 [01:15<00:20,  2.09it/s, v_num=jsbe, train/l1_step=0.00198, train/total_loss_step=0.204, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  79%|███████▉  | 158/200 [01:15<00:20,  2.08it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.184, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|███████▉  | 159/200 [01:16<00:19,  2.09it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.184, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|███████▉  | 159/200 [01:16<00:19,  2.08it/s, v_num=jsbe, train/l1_step=0.00184, train/total_loss_step=0.308, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|████████  | 160/200 [01:16<00:19,  2.09it/s, v_num=jsbe, train/l1_step=0.00184, train/total_loss_step=0.308, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|████████  | 160/200 [01:16<00:19,  2.08it/s, v_num=jsbe, train/l1_step=0.00185, train/total_loss_step=0.162, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|████████  | 161/200 [01:16<00:18,  2.09it/s, v_num=jsbe, train/l1_step=0.00185, train/total_loss_step=0.162, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  80%|████████  | 161/200 [01:17<00:18,  2.08it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.552, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  81%|████████  | 162/200 [01:17<00:18,  2.09it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.552, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  81%|████████  | 162/200 [01:17<00:18,  2.08it/s, v_num=jsbe, train/l1_step=0.00163, train/total_loss_step=0.250, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▏ | 163/200 [01:17<00:17,  2.09it/s, v_num=jsbe, train/l1_step=0.00163, train/total_loss_step=0.250, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▏ | 163/200 [01:18<00:17,  2.08it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.116, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▏ | 164/200 [01:18<00:17,  2.09it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.116, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▏ | 164/200 [01:18<00:17,  2.08it/s, v_num=jsbe, train/l1_step=0.00229, train/total_loss_step=0.234, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▎ | 165/200 [01:18<00:16,  2.10it/s, v_num=jsbe, train/l1_step=0.00229, train/total_loss_step=0.234, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  82%|████████▎ | 165/200 [01:19<00:16,  2.08it/s, v_num=jsbe, train/l1_step=0.00215, train/total_loss_step=0.215, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  83%|████████▎ | 166/200 [01:19<00:16,  2.10it/s, v_num=jsbe, train/l1_step=0.00215, train/total_loss_step=0.215, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  83%|████████▎ | 166/200 [01:19<00:16,  2.08it/s, v_num=jsbe, train/l1_step=0.00182, train/total_loss_step=0.357, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  84%|████████▎ | 167/200 [01:19<00:15,  2.10it/s, v_num=jsbe, train/l1_step=0.00182, train/total_loss_step=0.357, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  84%|████████▎ | 167/200 [01:20<00:15,  2.08it/s, v_num=jsbe, train/l1_step=0.00195, train/total_loss_step=0.246, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  84%|████████▍ | 168/200 [01:20<00:15,  2.10it/s, v_num=jsbe, train/l1_step=0.00195, train/total_loss_step=0.246, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  84%|████████▍ | 168/200 [01:20<00:15,  2.09it/s, v_num=jsbe, train/l1_step=0.0019, train/total_loss_step=0.208, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  84%|████████▍ | 169/200 [01:20<00:14,  2.10it/s, v_num=jsbe, train/l1_step=0.0019, train/total_loss_step=0.208, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  84%|████████▍ | 169/200 [01:21<00:14,  2.09it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.173, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  85%|████████▌ | 170/200 [01:21<00:14,  2.10it/s, v_num=jsbe, train/l1_step=0.00199, train/total_loss_step=0.173, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  85%|████████▌ | 170/200 [01:21<00:14,  2.09it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.268, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▌ | 171/200 [01:21<00:13,  2.10it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.268, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▌ | 171/200 [01:21<00:13,  2.09it/s, v_num=jsbe, train/l1_step=0.00207, train/total_loss_step=0.286, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▌ | 172/200 [01:21<00:13,  2.10it/s, v_num=jsbe, train/l1_step=0.00207, train/total_loss_step=0.286, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▌ | 172/200 [01:22<00:13,  2.09it/s, v_num=jsbe, train/l1_step=0.00215, train/total_loss_step=0.391, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▋ | 173/200 [01:22<00:12,  2.10it/s, v_num=jsbe, train/l1_step=0.00215, train/total_loss_step=0.391, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  86%|████████▋ | 173/200 [01:22<00:12,  2.09it/s, v_num=jsbe, train/l1_step=0.00207, train/total_loss_step=0.183, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  87%|████████▋ | 174/200 [01:22<00:12,  2.10it/s, v_num=jsbe, train/l1_step=0.00207, train/total_loss_step=0.183, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  87%|████████▋ | 174/200 [01:23<00:12,  2.09it/s, v_num=jsbe, train/l1_step=0.00212, train/total_loss_step=0.383, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 175/200 [01:23<00:11,  2.10it/s, v_num=jsbe, train/l1_step=0.00212, train/total_loss_step=0.383, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 175/200 [01:23<00:11,  2.09it/s, v_num=jsbe, train/l1_step=0.00226, train/total_loss_step=0.294, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 176/200 [01:23<00:11,  2.10it/s, v_num=jsbe, train/l1_step=0.00226, train/total_loss_step=0.294, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 176/200 [01:24<00:11,  2.09it/s, v_num=jsbe, train/l1_step=0.00203, train/total_loss_step=0.201, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 177/200 [01:24<00:10,  2.10it/s, v_num=jsbe, train/l1_step=0.00203, train/total_loss_step=0.201, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  88%|████████▊ | 177/200 [01:24<00:10,  2.09it/s, v_num=jsbe, train/l1_step=0.00206, train/total_loss_step=0.368, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  89%|████████▉ | 178/200 [01:24<00:10,  2.10it/s, v_num=jsbe, train/l1_step=0.00206, train/total_loss_step=0.368, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  89%|████████▉ | 178/200 [01:25<00:10,  2.09it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.178, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|████████▉ | 179/200 [01:25<00:09,  2.10it/s, v_num=jsbe, train/l1_step=0.00246, train/total_loss_step=0.178, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|████████▉ | 179/200 [01:25<00:10,  2.09it/s, v_num=jsbe, train/l1_step=0.00231, train/total_loss_step=0.393, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|█████████ | 180/200 [01:25<00:09,  2.10it/s, v_num=jsbe, train/l1_step=0.00231, train/total_loss_step=0.393, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|█████████ | 180/200 [01:26<00:09,  2.09it/s, v_num=jsbe, train/l1_step=0.00227, train/total_loss_step=0.179, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|█████████ | 181/200 [01:26<00:09,  2.10it/s, v_num=jsbe, train/l1_step=0.00227, train/total_loss_step=0.179, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  90%|█████████ | 181/200 [01:26<00:09,  2.09it/s, v_num=jsbe, train/l1_step=0.00185, train/total_loss_step=0.187, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  91%|█████████ | 182/200 [01:26<00:08,  2.10it/s, v_num=jsbe, train/l1_step=0.00185, train/total_loss_step=0.187, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  91%|█████████ | 182/200 [01:26<00:08,  2.09it/s, v_num=jsbe, train/l1_step=0.00195, train/total_loss_step=0.253, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▏| 183/200 [01:26<00:08,  2.10it/s, v_num=jsbe, train/l1_step=0.00195, train/total_loss_step=0.253, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▏| 183/200 [01:27<00:08,  2.09it/s, v_num=jsbe, train/l1_step=0.00206, train/total_loss_step=0.242, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▏| 184/200 [01:27<00:07,  2.11it/s, v_num=jsbe, train/l1_step=0.00206, train/total_loss_step=0.242, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▏| 184/200 [01:27<00:07,  2.09it/s, v_num=jsbe, train/l1_step=0.00173, train/total_loss_step=0.157, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▎| 185/200 [01:27<00:07,  2.11it/s, v_num=jsbe, train/l1_step=0.00173, train/total_loss_step=0.157, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  92%|█████████▎| 185/200 [01:28<00:07,  2.10it/s, v_num=jsbe, train/l1_step=0.00168, train/total_loss_step=0.289, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  93%|█████████▎| 186/200 [01:28<00:06,  2.11it/s, v_num=jsbe, train/l1_step=0.00168, train/total_loss_step=0.289, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  93%|█████████▎| 186/200 [01:28<00:06,  2.10it/s, v_num=jsbe, train/l1_step=0.00175, train/total_loss_step=0.231, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▎| 187/200 [01:28<00:06,  2.11it/s, v_num=jsbe, train/l1_step=0.00175, train/total_loss_step=0.231, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▎| 187/200 [01:29<00:06,  2.10it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.185, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▍| 188/200 [01:29<00:05,  2.11it/s, v_num=jsbe, train/l1_step=0.00209, train/total_loss_step=0.185, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▍| 188/200 [01:29<00:05,  2.10it/s, v_num=jsbe, train/l1_step=0.00177, train/total_loss_step=0.254, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▍| 189/200 [01:29<00:05,  2.11it/s, v_num=jsbe, train/l1_step=0.00177, train/total_loss_step=0.254, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  94%|█████████▍| 189/200 [01:30<00:05,  2.10it/s, v_num=jsbe, train/l1_step=0.00191, train/total_loss_step=0.279, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  95%|█████████▌| 190/200 [01:30<00:04,  2.11it/s, v_num=jsbe, train/l1_step=0.00191, train/total_loss_step=0.279, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  95%|█████████▌| 190/200 [01:30<00:04,  2.10it/s, v_num=jsbe, train/l1_step=0.00204, train/total_loss_step=0.191, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  96%|█████████▌| 191/200 [01:30<00:04,  2.11it/s, v_num=jsbe, train/l1_step=0.00204, train/total_loss_step=0.191, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  96%|█████████▌| 191/200 [01:31<00:04,  2.10it/s, v_num=jsbe, train/l1_step=0.002, train/total_loss_step=0.320, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]  
Epoch 1:  96%|█████████▌| 192/200 [01:31<00:03,  2.11it/s, v_num=jsbe, train/l1_step=0.002, train/total_loss_step=0.320, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  96%|█████████▌| 192/200 [01:31<00:03,  2.10it/s, v_num=jsbe, train/l1_step=0.00201, train/total_loss_step=0.153, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  96%|█████████▋| 193/200 [01:31<00:03,  2.11it/s, v_num=jsbe, train/l1_step=0.00201, train/total_loss_step=0.153, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  96%|█████████▋| 193/200 [01:31<00:03,  2.10it/s, v_num=jsbe, train/l1_step=0.00168, train/total_loss_step=0.170, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  97%|█████████▋| 194/200 [01:31<00:02,  2.11it/s, v_num=jsbe, train/l1_step=0.00168, train/total_loss_step=0.170, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  97%|█████████▋| 194/200 [01:32<00:02,  2.10it/s, v_num=jsbe, train/l1_step=0.0022, train/total_loss_step=0.573, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  98%|█████████▊| 195/200 [01:32<00:02,  2.11it/s, v_num=jsbe, train/l1_step=0.0022, train/total_loss_step=0.573, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  98%|█████████▊| 195/200 [01:32<00:02,  2.10it/s, v_num=jsbe, train/l1_step=0.00204, train/total_loss_step=0.252, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  98%|█████████▊| 196/200 [01:32<00:01,  2.11it/s, v_num=jsbe, train/l1_step=0.00204, train/total_loss_step=0.252, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  98%|█████████▊| 196/200 [01:33<00:01,  2.10it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  98%|█████████▊| 197/200 [01:33<00:01,  2.11it/s, v_num=jsbe, train/l1_step=0.00243, train/total_loss_step=0.188, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  98%|█████████▊| 197/200 [01:33<00:01,  2.10it/s, v_num=jsbe, train/l1_step=0.0026, train/total_loss_step=0.229, train/l1_epoch=0.0196, train/total_loss_epoch=0.495] 
Epoch 1:  99%|█████████▉| 198/200 [01:33<00:00,  2.11it/s, v_num=jsbe, train/l1_step=0.0026, train/total_loss_step=0.229, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1:  99%|█████████▉| 198/200 [01:34<00:00,  2.10it/s, v_num=jsbe, train/l1_step=0.00214, train/total_loss_step=0.310, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1: 100%|█████████▉| 199/200 [01:34<00:00,  2.11it/s, v_num=jsbe, train/l1_step=0.00214, train/total_loss_step=0.310, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1: 100%|█████████▉| 199/200 [01:34<00:00,  2.10it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.214, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1: 100%|██████████| 200/200 [01:34<00:00,  2.11it/s, v_num=jsbe, train/l1_step=0.00186, train/total_loss_step=0.214, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1: 100%|██████████| 200/200 [01:35<00:00,  2.10it/s, v_num=jsbe, train/l1_step=0.00174, train/total_loss_step=0.179, train/l1_epoch=0.0196, train/total_loss_epoch=0.495]
Epoch 1: 100%|██████████| 200/200 [01:35<00:00,  2.10it/s, v_num=jsbe, train/l1_step=0.00174, train/total_loss_step=0.179, train/l1_epoch=0.00282, train/total_loss_epoch=0.296]
Epoch 1: 100%|██████████| 200/200 [01:35<00:00,  2.09it/s, v_num=jsbe, train/l1_step=0.00174, train/total_loss_step=0.179, train/l1_epoch=0.00282, train/total_loss_epoch=0.296]
wandb: 
wandb: 🚀 View run canary-6876770 at: https://wandb.ai/aditijc5-new-york-university/smooth-hierarchy/runs/9yngjsbe
[canary] 2026-04-22T14:46:25Z DONE
total 138222
drwxr-xr-x. 2 ajc10180 ajc10180     4096 Apr 22 10:46 .
drwxr-xr-x. 2 ajc10180 ajc10180     4096 Apr 22 10:40 ..
-rw-r--r--. 1 ajc10180 ajc10180 47179723 Apr 22 10:46 last.ckpt
-rw-r--r--. 1 ajc10180 ajc10180 47179723 Apr 22 10:46 smooth-hierarchy-epoch=01-step=00000400.ckpt
-rw-r--r--. 1 ajc10180 ajc10180 47179723 Apr 22 10:46 smooth-hierarchy-epoch=epoch=01.ckpt