diff --git "a/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb" "b/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb"
--- "a/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb"
+++ "b/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb"
@@ -3,13 +3,13 @@
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@@ -69,19 +69,19 @@
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@@ -140,19 +140,19 @@
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@@ -162,7 +162,7 @@
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-      "[2023-09-29 06:40:40,584] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
+      "[2023-09-29 09:57:16,435] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
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+     "iopub.status.idle": "2023-09-29T10:00:21.515956Z",
+     "shell.execute_reply": "2023-09-29T10:00:21.514599Z"
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     "papermill": {
-     "duration": 319.688845,
-     "end_time": "2023-09-29T06:46:52.826835",
+     "duration": 132.843495,
+     "end_time": "2023-09-29T10:00:21.518814",
      "exception": false,
-     "start_time": "2023-09-29T06:41:33.137990",
+     "start_time": "2023-09-29T09:58:08.675319",
      "status": "completed"
     },
     "tags": []
@@ -1037,7 +1016,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[2023-09-29 06:41:37,618] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
+      "[2023-09-29 09:58:12,868] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
      ]
     },
     {
@@ -1059,9 +1038,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/usr/local/lib/python3.10/dist-packages/lightning/fabric/utilities/seed.py:39: UserWarning: No seed found, seed set to 794168672\r\n",
+      "/usr/local/lib/python3.10/dist-packages/lightning/fabric/utilities/seed.py:39: UserWarning: No seed found, seed set to 207026176\r\n",
       "  rank_zero_warn(f\"No seed found, seed set to {seed}\")\r\n",
-      "Global seed set to 794168672\r\n"
+      "Global seed set to 207026176\r\n"
      ]
     },
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      "output_type": "stream",
      "text": [
       "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.15.11\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in \u001b[35m\u001b[1m./wandb/run-20230929_064140-udijamu6\u001b[0m\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in \u001b[35m\u001b[1m./wandb/run-20230929_095815-3rwyj6ei\u001b[0m\r\n",
       "\u001b[34m\u001b[1mwandb\u001b[0m: Run \u001b[1m`wandb offline`\u001b[0m to turn off syncing.\r\n",
       "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33m[Multi-size] v5-L12-D2048-E0.01 - Enwiki-4k Part 1 (train-ctx=4k, deepspeed_stage_1)\u001b[0m\r\n",
       "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments\u001b[0m\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/runs/udijamu6\u001b[0m\r\n"
+      "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/runs/3rwyj6ei\u001b[0m\r\n"
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+      "Saving the dataset (3/3 shards): 100%|█| 54401/54401 [00:05<00:00, 15794.33 exam\r",
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       "\r",
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      ]
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+      "[rank: 0] Global seed set to 207026176\r\n",
+      "initializing deepspeed distributed: GLOBAL_RANK: 0, MEMBER: 1/1\r\n",
+      "[2023-09-29 09:58:33,172] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented\r\n"
      ]
     },
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      "text": [
-      "\r",
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+      "Enabling DeepSpeed BF16.\r\n"
      ]
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      "text": [
-      "\r",
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+      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\r\n",
+      "#\r\n",
+      "# RWKV lighting_trainer.py important notes \r\n",
+      "# https://github.com/RWKV/RWKV-infctx-trainer \r\n",
+      "#\r\n",
+      "# - Ensure your host is not running cuda 12.0 (use either 11.8, or >=12.1), as this is known to have freeze issues\r\n",
+      "# - The terms used in wandb / the progress bar can be confusing, see the github README.md for beter clarifications\r\n",
+      "# - When resuming from checkpoint, the estimated time is inaccurate\r\n",
+      "#\r\n",
+      "\r\n",
+      "[RWKV.model] Configuring optimizer with\r\n",
+      "    - lr_init:  6.000e-04 (0.0006)\r\n",
+      "    - lr_final: 5.000e-04 (0.0005)\r\n",
+      "\r\n",
+      "Using /root/.cache/torch_extensions/py310_cu118 as PyTorch extensions root...\r\n"
      ]
     },
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+      "Detected CUDA files, patching ldflags\r\n",
+      "Emitting ninja build file /root/.cache/torch_extensions/py310_cu118/fused_adam/build.ninja...\r\n",
+      "Building extension module fused_adam...\r\n",
+      "Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\r\n"
      ]
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+      "ninja: no work to do.\r\n",
+      "Loading extension module fused_adam...\r\n",
+      "Time to load fused_adam op: 0.07915163040161133 seconds\r\n",
+      "Loading `train_dataloader` to estimate number of stepping batches.\r\n"
      ]
     },
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+      "Rank: 0 partition count [1, 1] and sizes[(860549120, False), (768, False)] \r\n"
      ]
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+      "\r\n",
+      "  | Name   | Type       | Params\r\n",
+      "--------------------------------------\r\n",
+      "0 | emb    | Embedding  | 102 M \r\n",
+      "1 | blocks | ModuleList | 654 M \r\n",
+      "2 | ln_out | LayerNorm  | 4.1 K \r\n",
+      "3 | head   | Linear     | 102 M \r\n",
+      "--------------------------------------\r\n",
+      "860 M     Trainable params\r\n",
+      "0         Non-trainable params\r\n",
+      "860 M     Total params\r\n",
+      "3,442.200 Total estimated model params size (MB)\r\n"
      ]
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      "text": [
       "\r",
-      "Map (num_proc=32):   3%|▏      | 33057/1000000 [00:05<02:40, 6042.10 examples/s]"
+      "Epoch 0:   0%| | 3/54401 [00:12<63:41:34,  4.22s/it, v_num=j6ei, train/loss=11.0\r",
+      "Epoch 0:   0%| | 3/54401 [00:12<63:41:49,  4.22s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1507,7 +1393,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   3%|▏      | 33672/1000000 [00:06<02:44, 5866.93 examples/s]"
+      "Epoch 0:   0%| | 4/54401 [00:13<52:21:56,  3.47s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 4/54401 [00:13<52:22:08,  3.47s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1515,7 +1402,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   3%|▏      | 34266/1000000 [00:06<02:53, 5555.21 examples/s]"
+      "Epoch 0:   0%| | 5/54401 [00:15<45:34:11,  3.02s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 5/54401 [00:15<45:34:21,  3.02s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1523,7 +1411,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   3%|▏      | 34854/1000000 [00:06<02:51, 5626.05 examples/s]"
+      "Epoch 0:   0%| | 6/54401 [00:16<41:01:56,  2.72s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 6/54401 [00:16<41:02:04,  2.72s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1531,7 +1420,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▏      | 35428/1000000 [00:06<02:51, 5627.80 examples/s]"
+      "Epoch 0:   0%| | 7/54401 [00:17<37:47:47,  2.50s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 7/54401 [00:17<37:47:53,  2.50s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1539,7 +1429,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 36062/1000000 [00:06<02:45, 5829.61 examples/s]"
+      "Epoch 0:   0%| | 8/54401 [00:18<35:22:29,  2.34s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 8/54401 [00:18<35:22:35,  2.34s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1547,7 +1438,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 36667/1000000 [00:06<02:45, 5806.76 examples/s]"
+      "Epoch 0:   0%| | 9/54401 [00:19<33:29:09,  2.22s/it, v_num=j6ei, train/loss=10.9\r",
+      "Epoch 0:   0%| | 9/54401 [00:19<33:29:15,  2.22s/it, v_num=j6ei, train/loss=10.9"
      ]
     },
     {
@@ -1555,7 +1447,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 37254/1000000 [00:06<02:46, 5767.78 examples/s]"
+      "Epoch 0:   0%| | 10/54401 [00:21<31:58:25,  2.12s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 10/54401 [00:21<31:58:30,  2.12s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1563,7 +1456,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 37862/1000000 [00:06<02:45, 5808.33 examples/s]"
+      "Epoch 0:   0%| | 11/54401 [00:22<30:44:06,  2.03s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 11/54401 [00:22<30:44:10,  2.03s/it, v_num=j6ei, train/loss=11."
      ]
     },
     {
@@ -1571,7 +1465,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 38463/1000000 [00:06<02:44, 5855.00 examples/s]"
+      "Epoch 0:   0%| | 12/54401 [00:23<29:42:14,  1.97s/it, v_num=j6ei, train/loss=11.\r",
+      "Epoch 0:   0%| | 12/54401 [00:23<29:42:17,  1.97s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1579,7 +1474,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 39055/1000000 [00:06<02:49, 5668.59 examples/s]"
+      "Epoch 0:   0%| | 13/54401 [00:24<28:49:59,  1.91s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 13/54401 [00:24<28:50:03,  1.91s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1587,7 +1483,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 39661/1000000 [00:07<02:46, 5754.86 examples/s]"
+      "Epoch 0:   0%| | 14/54401 [00:26<28:05:17,  1.86s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 14/54401 [00:26<28:05:20,  1.86s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1595,7 +1492,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 40327/1000000 [00:07<02:40, 5964.13 examples/s]"
+      "Epoch 0:   0%| | 15/54401 [00:27<27:26:24,  1.82s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 15/54401 [00:27<27:26:27,  1.82s/it, v_num=j6ei, train/loss=11."
      ]
     },
     {
@@ -1603,7 +1501,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 40998/1000000 [00:07<02:36, 6131.67 examples/s]"
+      "Epoch 0:   0%| | 16/54401 [00:28<26:52:37,  1.78s/it, v_num=j6ei, train/loss=11."
      ]
     },
     {
@@ -1611,7 +1509,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 41624/1000000 [00:07<02:35, 6160.36 examples/s]"
+      "Epoch 0:   0%| | 16/54401 [00:28<26:52:39,  1.78s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1619,7 +1517,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 42289/1000000 [00:07<02:32, 6276.27 examples/s]"
+      "Epoch 0:   0%| | 17/54401 [00:29<26:22:57,  1.75s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 17/54401 [00:29<26:23:00,  1.75s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1627,7 +1526,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 42927/1000000 [00:07<02:31, 6297.43 examples/s]"
+      "Epoch 0:   0%| | 18/54401 [00:30<25:57:05,  1.72s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 18/54401 [00:30<25:57:08,  1.72s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1635,7 +1535,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 43592/1000000 [00:07<02:29, 6382.68 examples/s]"
+      "Epoch 0:   0%| | 19/54401 [00:32<25:33:20,  1.69s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 19/54401 [00:32<25:33:22,  1.69s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1643,7 +1544,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   4%|▎      | 44361/1000000 [00:07<02:23, 6667.01 examples/s]"
+      "Epoch 0:   0%| | 20/54401 [00:33<25:11:45,  1.67s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 20/54401 [00:33<25:11:48,  1.67s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1651,7 +1553,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 45031/1000000 [00:07<02:27, 6489.34 examples/s]"
+      "Epoch 0:   0%| | 21/54401 [00:34<24:52:15,  1.65s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 21/54401 [00:34<24:52:17,  1.65s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1659,7 +1562,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 45681/1000000 [00:08<02:33, 6232.93 examples/s]"
+      "Epoch 0:   0%| | 22/54401 [00:35<24:34:31,  1.63s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 22/54401 [00:35<24:34:33,  1.63s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1667,7 +1571,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 46312/1000000 [00:08<02:34, 6178.45 examples/s]"
+      "Epoch 0:   0%| | 23/54401 [00:37<24:18:22,  1.61s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 23/54401 [00:37<24:18:24,  1.61s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1675,7 +1580,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 46973/1000000 [00:08<02:31, 6289.09 examples/s]"
+      "Epoch 0:   0%| | 24/54401 [00:38<24:03:23,  1.59s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 24/54401 [00:38<24:03:25,  1.59s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1683,7 +1589,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 47618/1000000 [00:08<02:30, 6309.10 examples/s]"
+      "Epoch 0:   0%| | 25/54401 [00:39<23:49:44,  1.58s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 25/54401 [00:39<23:49:46,  1.58s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1691,7 +1598,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 48262/1000000 [00:08<02:32, 6248.73 examples/s]"
+      "Epoch 0:   0%| | 26/54401 [00:40<23:37:08,  1.56s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 26/54401 [00:40<23:37:10,  1.56s/it, v_num=j6ei, train/loss=11."
      ]
     },
     {
@@ -1699,7 +1607,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 48893/1000000 [00:08<02:32, 6243.22 examples/s]"
+      "Epoch 0:   0%| | 27/54401 [00:41<23:25:25,  1.55s/it, v_num=j6ei, train/loss=11.\r",
+      "Epoch 0:   0%| | 27/54401 [00:41<23:25:27,  1.55s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1707,7 +1616,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 49541/1000000 [00:08<02:32, 6237.58 examples/s]"
+      "Epoch 0:   0%| | 28/54401 [00:43<23:14:36,  1.54s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 28/54401 [00:43<23:14:38,  1.54s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1715,7 +1625,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 50175/1000000 [00:08<02:32, 6213.40 examples/s]"
+      "Epoch 0:   0%| | 29/54401 [00:44<23:04:27,  1.53s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 29/54401 [00:44<23:04:28,  1.53s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1723,7 +1634,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 50850/1000000 [00:08<02:29, 6348.38 examples/s]"
+      "Epoch 0:   0%| | 30/54401 [00:45<22:55:04,  1.52s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 30/54401 [00:45<22:55:05,  1.52s/it, v_num=j6ei, train/loss=11."
      ]
     },
     {
@@ -1731,7 +1643,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 51494/1000000 [00:08<02:33, 6197.25 examples/s]"
+      "Epoch 0:   0%| | 31/54401 [00:46<22:46:11,  1.51s/it, v_num=j6ei, train/loss=11.\r",
+      "Epoch 0:   0%| | 31/54401 [00:46<22:46:12,  1.51s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1739,7 +1652,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 52143/1000000 [00:09<02:31, 6256.95 examples/s]"
+      "Epoch 0:   0%| | 32/54401 [00:48<22:43:11,  1.50s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1747,7 +1660,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 52783/1000000 [00:09<02:31, 6252.38 examples/s]"
+      "Epoch 0:   0%| | 32/54401 [00:48<22:45:59,  1.51s/it, v_num=j6ei, train/loss=10."
      ]
     },
     {
@@ -1755,7 +1668,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▎      | 53546/1000000 [00:09<02:23, 6609.26 examples/s]"
+      "Epoch 0:   0%| | 33/54401 [00:49<22:37:44,  1.50s/it, v_num=j6ei, train/loss=10.\r",
+      "Epoch 0:   0%| | 33/54401 [00:49<22:37:46,  1.50s/it, v_num=j6ei, train/loss=9.4"
      ]
     },
     {
@@ -1763,7 +1677,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▍      | 54265/1000000 [00:09<02:20, 6746.40 examples/s]"
+      "Epoch 0:   0%| | 34/54401 [00:50<22:30:18,  1.49s/it, v_num=j6ei, train/loss=9.4\r",
+      "Epoch 0:   0%| | 34/54401 [00:50<22:30:19,  1.49s/it, v_num=j6ei, train/loss=9.2"
      ]
     },
     {
@@ -1771,7 +1686,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   5%|▍      | 54941/1000000 [00:09<02:21, 6697.77 examples/s]"
+      "Epoch 0:   0%| | 35/54401 [00:51<22:23:17,  1.48s/it, v_num=j6ei, train/loss=9.2\r",
+      "Epoch 0:   0%| | 35/54401 [00:51<22:23:18,  1.48s/it, v_num=j6ei, train/loss=9.3"
      ]
     },
     {
@@ -1779,7 +1695,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 55624/1000000 [00:09<02:30, 6290.06 examples/s]"
+      "Epoch 0:   0%| | 36/54401 [00:53<22:16:41,  1.48s/it, v_num=j6ei, train/loss=9.3\r",
+      "Epoch 0:   0%| | 36/54401 [00:53<22:16:42,  1.48s/it, v_num=j6ei, train/loss=9.6"
      ]
     },
     {
@@ -1787,7 +1704,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 56263/1000000 [00:09<02:35, 6073.73 examples/s]"
+      "Epoch 0:   0%| | 37/54401 [00:54<22:10:26,  1.47s/it, v_num=j6ei, train/loss=9.6\r",
+      "Epoch 0:   0%| | 37/54401 [00:54<22:10:27,  1.47s/it, v_num=j6ei, train/loss=9.6"
      ]
     },
     {
@@ -1795,7 +1713,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 56879/1000000 [00:09<02:40, 5862.12 examples/s]"
+      "Epoch 0:   0%| | 38/54401 [00:55<22:04:33,  1.46s/it, v_num=j6ei, train/loss=9.6\r",
+      "Epoch 0:   0%| | 38/54401 [00:55<22:04:35,  1.46s/it, v_num=j6ei, train/loss=9.4"
      ]
     },
     {
@@ -1803,7 +1722,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 57477/1000000 [00:09<02:41, 5821.67 examples/s]"
+      "Epoch 0:   0%| | 39/54401 [00:56<21:58:58,  1.46s/it, v_num=j6ei, train/loss=9.4\r",
+      "Epoch 0:   0%| | 39/54401 [00:56<21:58:59,  1.46s/it, v_num=j6ei, train/loss=9.5"
      ]
     },
     {
@@ -1811,7 +1731,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 58095/1000000 [00:10<02:39, 5915.13 examples/s]"
+      "Epoch 0:   0%| | 40/54401 [00:57<21:53:35,  1.45s/it, v_num=j6ei, train/loss=9.5\r",
+      "Epoch 0:   0%| | 40/54401 [00:57<21:53:36,  1.45s/it, v_num=j6ei, train/loss=9.6"
      ]
     },
     {
@@ -1819,7 +1740,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 58702/1000000 [00:10<02:39, 5883.54 examples/s]"
+      "Epoch 0:   0%| | 41/54401 [00:59<21:48:31,  1.44s/it, v_num=j6ei, train/loss=9.6\r",
+      "Epoch 0:   0%| | 41/54401 [00:59<21:48:32,  1.44s/it, v_num=j6ei, train/loss=9.4"
      ]
     },
     {
@@ -1827,7 +1749,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 59293/1000000 [00:10<02:40, 5875.84 examples/s]"
+      "Epoch 0:   0%| | 42/54401 [01:00<21:43:42,  1.44s/it, v_num=j6ei, train/loss=9.4\r",
+      "Epoch 0:   0%| | 42/54401 [01:00<21:43:43,  1.44s/it, v_num=j6ei, train/loss=9.4"
      ]
     },
     {
@@ -1835,7 +1758,8 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "Map (num_proc=32):   6%|▍      | 59976/1000000 [00:10<02:33, 6123.63 examples/s]"
+      "Epoch 0:   0%| | 43/54401 [01:01<21:39:04,  1.43s/it, v_num=j6ei, train/loss=9.4\r",
+      "Epoch 0:   0%| | 43/54401 [01:01<21:39:06,  1.43s/it, v_num=j6ei, train/loss=9.6"
      ]
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@@ -1843,7 +1767,8 @@
      "output_type": "stream",
      "text": [
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+      "Epoch 0:   0%| | 44/54401 [01:02<21:34:38,  1.43s/it, v_num=j6ei, train/loss=9.5"
      ]
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      "text": [
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      ]
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      "text": [
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      ]
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      ]
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      ]
     },
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+      "Traceback (most recent call last):\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/lightning_trainer.py\", line 278, in <module>\r\n",
+      "    cli_main()\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/lightning_trainer.py\", line 253, in cli_main\r\n",
+      "    LightningCLI(\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/cli.py\", line 353, in __init__\r\n",
+      "    self._run_subcommand(self.subcommand)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/cli.py\", line 642, in _run_subcommand\r\n",
+      "    fn(**fn_kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 529, in fit\r\n",
+      "    call._call_and_handle_interrupt(\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/call.py\", line 41, in _call_and_handle_interrupt\r\n",
+      "    return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/strategies/launchers/subprocess_script.py\", line 91, in launch\r\n",
+      "    return function(*args, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 568, in _fit_impl\r\n",
+      "    self._run(model, ckpt_path=ckpt_path)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 973, in _run\r\n",
+      "    results = self._run_stage()\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 1016, in _run_stage\r\n",
+      "    self.fit_loop.run()\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/fit_loop.py\", line 201, in run\r\n",
+      "    self.advance()\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/fit_loop.py\", line 354, in advance\r\n",
+      "    self.epoch_loop.run(self._data_fetcher)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/training_epoch_loop.py\", line 133, in run\r\n",
+      "    self.advance(data_fetcher)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/training_epoch_loop.py\", line 218, in advance\r\n",
+      "    batch_output = self.automatic_optimization.run(trainer.optimizers[0], kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/optimization/automatic.py\", line 185, in run\r\n",
+      "    self._optimizer_step(kwargs.get(\"batch_idx\", 0), closure)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/loops/optimization/automatic.py\", line 260, in _optimizer_step\r\n",
+      "    call._call_lightning_module_hook(\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/call.py\", line 144, in _call_lightning_module_hook\r\n",
+      "    output = fn(*args, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/core/module.py\", line 1256, in optimizer_step\r\n",
+      "    optimizer.step(closure=optimizer_closure)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/core/optimizer.py\", line 155, in step\r\n",
+      "    step_output = self._strategy.optimizer_step(self._optimizer, closure, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/strategies/ddp.py\", line 256, in optimizer_step\r\n",
+      "    optimizer_output = super().optimizer_step(optimizer, closure, model, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/strategies/strategy.py\", line 225, in optimizer_step\r\n",
+      "    return self.precision_plugin.optimizer_step(optimizer, model=model, closure=closure, **kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/plugins/precision/deepspeed.py\", line 102, in optimizer_step\r\n",
+      "    return deepspeed_engine.step(**kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/engine.py\", line 2087, in step\r\n",
+      "    self._take_model_step(lr_kwargs)\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/engine.py\", line 1994, in _take_model_step\r\n",
+      "    self.optimizer.step()\r\n",
+      "  File \"/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/zero/stage_1_and_2.py\", line 1715, in step\r\n",
+      "    int(self.partition_size[i])).to(self.single_partition_of_fp32_groups[i].dtype)\r\n",
+      "torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.21 GiB (GPU 0; 22.19 GiB total capacity; 14.81 GiB already allocated; 2.39 GiB free; 18.54 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Waiting for W&B process to finish... \u001b[31m(failed 1).\u001b[0m Press Control-C to abort syncing.\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "Map (num_proc=32):   7%|▌      | 74575/1000000 [00:12<02:46, 5566.20 examples/s]"
+      "\u001b[34m\u001b[1mwandb\u001b[0m: - 0.005 MB of 0.005 MB uploaded (0.000 MB deduped)\r"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
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+      "\u001b[34m\u001b[1mwandb\u001b[0m: \\ 0.005 MB of 0.005 MB uploaded (0.000 MB deduped)\r"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
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+      "\u001b[34m\u001b[1mwandb\u001b[0m: | 0.005 MB of 0.005 MB uploaded (0.000 MB deduped)\r"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "Map (num_proc=32):   8%|▌      | 76402/1000000 [00:13<02:37, 5862.39 examples/s]"
+      "\u001b[34m\u001b[1mwandb\u001b[0m: / 0.005 MB of 0.005 MB uploaded (0.000 MB deduped)\r"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
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+      "\u001b[34m\u001b[1mwandb\u001b[0m: \r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Run history:\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                  batchidx ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:               global_rank ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: perf/tokens_per_sec.gpu.0 ▁▁▃▃▄▅▅▅▆▆▆▆▆▇▇▇▇▇▇▇▇▇▇▇▇███████████████\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:   perf/tokens_total.gpu.0 ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:              real_ctx_len ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                   substep ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                train/loss ████████████████████▂▁▃▂▂▂▃▂▂▂▂▂▃▂▂▂▃▂▃▃\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:       trainer/global_step ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁████████████████████\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:     trainer/learning_rate ██████████���█████████▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: \r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Run summary:\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                  batchidx 63\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:               global_rank 0\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: perf/tokens_per_sec.gpu.0 3052.94065\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:   perf/tokens_total.gpu.0 262080\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:              real_ctx_len 4095\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                   substep 63\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:                train/loss 9.625\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:       trainer/global_step 1\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:     trainer/learning_rate 0.0006\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: \r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run \u001b[33m[Multi-size] v5-L12-D2048-E0.01 - Enwiki-4k Part 1 (train-ctx=4k, deepspeed_stage_1)\u001b[0m at: \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/runs/3rwyj6ei\u001b[0m\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: ️⚡ View job at \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjk0OTk4MDcy/version_details/v4\u001b[0m\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)\r\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Find logs at: \u001b[35m\u001b[1m./wandb/run-20230929_095815-3rwyj6ei/logs\u001b[0m\r\n"
      ]
+    }
+   ],
+   "source": [
+    "# Start the foundation model training\n",
+    "!cd \"{TRAINER_DIR}\" && \\\n",
+    "    export WANDB_MODE=\"{WANDB_MODE}\" && \\\n",
+    "    python3 lightning_trainer.py fit \\\n",
+    "        -c \"{NOTEBOOK_DIR}/enwiki-4k-part1.yaml\" \\\n",
+    "        --trainer.logger.init_args.name=\"{WANDB_PREFIX} - Enwiki-4k Part 1 (train-ctx=4k, {DEEPSPEED_STRAT})\" \\\n",
+    "        --trainer.strategy=\"{DEEPSPEED_STRAT}\" \\\n",
+    "        --trainer.devices=\"{GPU_DEVICES}\" \\\n",
+    "        --trainer.callbacks.init_args.dirpath=\"../checkpoint/{FILENAME_PREFIX}-enwiki-4k-p1/\" \\\n",
+    "        --model.load_model=\"../model/{FILENAME_PREFIX}-neox-v5base-init.pth\" \\\n",
+    "        --model.ctx_len=4096 \\\n",
+    "        --model.bptt_learning_range=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "73f2dbdc",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T10:00:21.556396Z",
+     "iopub.status.busy": "2023-09-29T10:00:21.555187Z",
+     "iopub.status.idle": "2023-09-29T10:00:25.260439Z",
+     "shell.execute_reply": "2023-09-29T10:00:25.259001Z"
     },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      "Map (num_proc=32):   8%|▌      | 77930/1000000 [00:13<02:21, 6497.53 examples/s]"
-     ]
+    "papermill": {
+     "duration": 3.72759,
+     "end_time": "2023-09-29T10:00:25.263203",
+     "exception": false,
+     "start_time": "2023-09-29T10:00:21.535613",
+     "status": "completed"
     },
+    "tags": []
+   },
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "Map (num_proc=32):   8%|▌      | 78579/1000000 [00:13<02:27, 6233.09 examples/s]"
+      "[2023-09-29 10:00:23,854] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "Map (num_proc=32):   8%|▌      | 79209/1000000 [00:13<02:28, 6218.03 examples/s]"
+      "Traceback (most recent call last):\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 651, in <module>\r\n",
+      "    convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir, output_file, save_dtype=args.dtype)\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 542, in convert_zero_checkpoint_to_fp32_state_dict\r\n",
+      "    state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 516, in get_fp32_state_dict_from_zero_checkpoint\r\n",
+      "    raise ValueError(f\"Unable to find 'latest' file at {latest_path}\")\r\n",
+      "ValueError: Unable to find 'latest' file at ../checkpoint/v5-L12-D2048-E0_01-enwiki-4k-p1/last.ckpt/latest\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "Map (num_proc=32):   8%|▌      | 79908/1000000 [00:13<02:23, 6413.67 examples/s]"
+      "ls: cannot access '../model/v5-L12-D2048-E0_01-enwiki-4k-p1.pth': No such file or directory\r\n"
      ]
+    }
+   ],
+   "source": [
+    "# Lets export the model from the checkpoint\n",
+    "!cd \"{TRAINER_DIR}\" && \\\n",
+    "    python3 export_checkpoint.py \"../checkpoint/{FILENAME_PREFIX}-enwiki-4k-p1/last.ckpt\" \"../model/{FILENAME_PREFIX}-enwiki-4k-p1.pth\" \"bf16\"\n",
+    "!cd \"{TRAINER_DIR}\" && ls -alh \"../model/{FILENAME_PREFIX}-enwiki-4k-p1.pth\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "9b1932b1",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T10:00:25.302083Z",
+     "iopub.status.busy": "2023-09-29T10:00:25.300897Z",
+     "iopub.status.idle": "2023-09-29T10:00:31.273775Z",
+     "shell.execute_reply": "2023-09-29T10:00:31.272586Z"
     },
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-     ]
+    "papermill": {
+     "duration": 5.996558,
+     "end_time": "2023-09-29T10:00:31.277049",
+     "exception": false,
+     "start_time": "2023-09-29T10:00:25.280491",
+     "status": "completed"
     },
+    "tags": []
+   },
+   "outputs": [
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-     "text": [
-      "Traceback (most recent call last):\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/lightning_trainer.py\", line 278, in <module>\r\n",
-      "    cli_main()\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/lightning_trainer.py\", line 253, in cli_main\r\n",
-      "    LightningCLI(\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/cli.py\", line 353, in __init__\r\n",
-      "    self._run_subcommand(self.subcommand)\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/cli.py\", line 642, in _run_subcommand\r\n",
-      "    fn(**fn_kwargs)\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 529, in fit\r\n",
-      "    call._call_and_handle_interrupt(\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/call.py\", line 41, in _call_and_handle_interrupt\r\n",
-      "    return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/strategies/launchers/subprocess_script.py\", line 91, in launch\r\n",
-      "    return function(*args, **kwargs)\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 568, in _fit_impl\r\n",
-      "    self._run(model, ckpt_path=ckpt_path)\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/trainer.py\", line 925, in _run\r\n",
-      "    self._data_connector.prepare_data()\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/connectors/data_connector.py\", line 94, in prepare_data\r\n",
-      "    call._call_lightning_datamodule_hook(trainer, \"prepare_data\")\r\n",
-      "  File \"/usr/local/lib/python3.10/dist-packages/lightning/pytorch/trainer/call.py\", line 164, in _call_lightning_datamodule_hook\r\n",
-      "    return fn(*args, **kwargs)\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/data.py\", line 549, in prepare_data\r\n",
-      "    prepare_data_static(**self._init_locals)\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/data.py\", line 464, in prepare_data_static\r\n",
-      "    src_dataset[\"train\"] = src_dataset[\"train\"].select(range(offset_val, offset_val + length_val))\r\n",
-      "TypeError: 'float' object cannot be interpreted as an integer\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Waiting for W&B process to finish... \u001b[31m(failed 1).\u001b[0m Press Control-C to abort syncing.\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run \u001b[33m[Multi-size] v5-L12-D2048-E0.01 - Enwiki-4k Part 1 (train-ctx=4k, deepspeed_stage_1)\u001b[0m at: \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/runs/udijamu6\u001b[0m\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: ️⚡ View job at \u001b[34m\u001b[4mhttps://wandb.ai/rwkv-x-dev/RWKV-5X-Experiments/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjk0OTk4MDcy/version_details/v3\u001b[0m\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)\r\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Find logs at: \u001b[35m\u001b[1m./wandb/run-20230929_064140-udijamu6/logs\u001b[0m\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Start the foundation model training\n",
-    "!cd \"{TRAINER_DIR}\" && \\\n",
-    "    export WANDB_MODE=\"{WANDB_MODE}\" && \\\n",
-    "    python3 lightning_trainer.py fit \\\n",
-    "        -c \"{NOTEBOOK_DIR}/enwiki-4k-part1.yaml\" \\\n",
-    "        --trainer.logger.init_args.name=\"{WANDB_PREFIX} - Enwiki-4k Part 1 (train-ctx=4k, {DEEPSPEED_STRAT})\" \\\n",
-    "        --trainer.strategy=\"{DEEPSPEED_STRAT}\" \\\n",
-    "        --trainer.devices=\"{GPU_DEVICES}\" \\\n",
-    "        --trainer.callbacks.init_args.dirpath=\"../checkpoint/{FILENAME_PREFIX}-enwiki-4k-p1/\" \\\n",
-    "        --model.load_model=\"../model/{FILENAME_PREFIX}-neox-v5base-init.pth\" \\\n",
-    "        --model.ctx_len=4096 \\\n",
-    "        --model.bptt_learning_range=1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "9dcc8aa0",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-09-29T06:46:53.049378Z",
-     "iopub.status.busy": "2023-09-29T06:46:53.048820Z",
-     "iopub.status.idle": "2023-09-29T06:46:56.789000Z",
-     "shell.execute_reply": "2023-09-29T06:46:56.787968Z"
-    },
-    "papermill": {
-     "duration": 3.854596,
-     "end_time": "2023-09-29T06:46:56.791829",
-     "exception": false,
-     "start_time": "2023-09-29T06:46:52.937233",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[2023-09-29 06:46:55,390] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Traceback (most recent call last):\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 651, in <module>\r\n",
-      "    convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir, output_file, save_dtype=args.dtype)\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 542, in convert_zero_checkpoint_to_fp32_state_dict\r\n",
-      "    state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)\r\n",
-      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/export_checkpoint.py\", line 516, in get_fp32_state_dict_from_zero_checkpoint\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "    raise ValueError(f\"Unable to find 'latest' file at {latest_path}\")\r\n",
-      "ValueError: Unable to find 'latest' file at ../checkpoint/v5-L12-D2048-E0_01-enwiki-4k-p1/last.ckpt/latest\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ls: cannot access '../model/v5-L12-D2048-E0_01-enwiki-4k-p1.pth': No such file or directory\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Lets export the model from the checkpoint\n",
-    "!cd \"{TRAINER_DIR}\" && \\\n",
-    "    python3 export_checkpoint.py \"../checkpoint/{FILENAME_PREFIX}-enwiki-4k-p1/last.ckpt\" \"../model/{FILENAME_PREFIX}-enwiki-4k-p1.pth\" \"bf16\"\n",
-    "!cd \"{TRAINER_DIR}\" && ls -alh \"../model/{FILENAME_PREFIX}-enwiki-4k-p1.pth\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "fbac8551",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-09-29T06:46:57.029599Z",
-     "iopub.status.busy": "2023-09-29T06:46:57.029240Z",
-     "iopub.status.idle": "2023-09-29T06:47:03.411064Z",
-     "shell.execute_reply": "2023-09-29T06:47:03.409916Z"
-    },
-    "papermill": {
-     "duration": 6.495854,
-     "end_time": "2023-09-29T06:47:03.413417",
-     "exception": false,
-     "start_time": "2023-09-29T06:46:56.917563",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[2023-09-29 06:47:01,373] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n"
+      "[2023-09-29 10:00:29,417] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n",
       "Traceback (most recent call last):\r\n",
       "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/dragon_test.py\", line 52, in <module>\r\n",
       "    model = SimpleRWKV(MODEL_PATH, device=DEVICE)\r\n",
@@ -16511,14 +2206,14 @@
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 389.827856,
-   "end_time": "2023-09-29T06:47:03.946497",
+   "duration": 201.43354,
+   "end_time": "2023-09-29T10:00:31.714898",
    "environment_variables": {},
    "exception": null,
    "input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb",
    "output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb",
    "parameters": {},
-   "start_time": "2023-09-29T06:40:34.118641",
+   "start_time": "2023-09-29T09:57:10.281358",
    "version": "2.4.0"
   }
  },