diff --git "a/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb" "b/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb"
--- "a/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb"
+++ "b/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb"
@@ -3,13 +3,13 @@
   {
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+   "id": "bb9e93fd",
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@@ -23,13 +23,13 @@
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+   "id": "ec0b74ac",
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@@ -41,19 +41,19 @@
   {
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+   "id": "89d0e842",
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@@ -69,19 +69,19 @@
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-   "id": "42d56a7f",
+   "id": "eb4d593c",
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+     "iopub.execute_input": "2023-09-29T05:48:16.393985Z",
+     "iopub.status.busy": "2023-09-29T05:48:16.393428Z",
+     "iopub.status.idle": "2023-09-29T05:48:16.401146Z",
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@@ -140,19 +140,19 @@
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+   "id": "02a8c148",
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@@ -162,20 +162,14 @@
      "name": "stdout",
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      "text": [
-      "[2023-09-29 05:06:30,625] [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 05:48:20,485] [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",
       "---- Initializing model ----\r\n",
       "No of layers: 6\r\n",
       "Embedding size: 2048\r\n",
@@ -234,42 +228,42 @@
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-      "2048  2048  1.0  blocks.1.att.gate.weight\r\n"
+      "2048  7168  0    blocks.0.ffn.value.weight\r\n"
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-      "2048  2048  1.0  blocks.1.att.receptance.weight\r\n"
+      "2048  2048  1.0  blocks.1.att.gate.weight\r\n"
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-      "2048  2048  1.0  blocks.1.att.key.weight\r\n"
+      "2048  2048  1.0  blocks.1.att.receptance.weight\r\n"
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      "output_type": "stream",
      "text": [
-      "2048  2048  1.0  blocks.1.att.value.weight\r\n"
+      "2048  2048  1.0  blocks.1.att.key.weight\r\n"
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@@ -278,42 +272,42 @@
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+      "2048  7168  0    blocks.1.ffn.value.weight\r\n",
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-      "2048  2048  1.0  blocks.2.att.key.weight\r\n"
+      "2048  2048  1.0  blocks.2.att.value.weight\r\n"
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      "output_type": "stream",
      "text": [
-      "2048  2048  1.0  blocks.2.att.value.weight\r\n"
+      "2048  2048  0    blocks.2.att.output.weight\r\n"
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@@ -321,14 +315,14 @@
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+      "2048  2048  0    blocks.2.ffn.receptance.weight\r\n",
+      "2048  7168  0    blocks.2.ffn.value.weight\r\n"
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@@ -366,7 +360,13 @@
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+      "2048  7168  0    blocks.3.ffn.value.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
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@@ -404,7 +404,13 @@
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+      "2048  7168  0    blocks.4.ffn.value.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "2048  2048  0    blocks.5.att.output.weight\r\n"
+     ]
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+    {
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+     "output_type": "stream",
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@@ -459,13 +471,13 @@
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@@ -477,19 +489,19 @@
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@@ -499,35 +511,17232 @@
      "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/preload_datapath.py\", line 20, in <module>\r\n",
-      "    assert os.path.exists(config_file), \"Config file does not exist\"\r\n",
-      "AssertionError: Config file does not exist\r\n"
+      "\r",
+      "Downloading readme:   0%|                             | 0.00/433 [00:00<?, ?B/s]\r",
+      "Downloading readme: 100%|███████████████████████| 433/433 [00:00<00:00, 168kB/s]\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Downloading data files:   0%|                             | 0/1 [00:00<?, ?it/s]\r\n",
+      "\r",
+      "Downloading data:   0%|                              | 0.00/261M [00:00<?, ?B/s]\u001b[A"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "\r",
+      "Downloading data:   2%|▎                    | 4.19M/261M [00:00<00:22, 11.3MB/s]\u001b[A"
+     ]
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+     "text": [
+      "\r\n",
+      "\r",
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+     ]
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+      "\r\n",
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+      "Downloading data:  11%|██▎                  | 29.4M/261M [00:01<00:11, 19.5MB/s]\u001b[A"
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+     "output_type": "stream",
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "output_type": "stream",
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+     "text": [
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+     "output_type": "stream",
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+      "\r\n",
+      "\r",
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+     ]
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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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+     "text": [
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+     ]
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+     "output_type": "stream",
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+     ]
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+     "output_type": "stream",
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+     ]
+    },
+    {
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+     "output_type": "stream",
+     "text": [
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "\r",
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+     ]
+    },
+    {
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+     "output_type": "stream",
+     "text": [
+      "\r\n",
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+     ]
+    },
+    {
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+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "\r",
+      "Downloading data:  99%|█████████████████████▋| 256M/259M [00:12<00:00, 22.1MB/s]\u001b[A"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Downloading data: 100%|██████████████████████| 259M/259M [00:12<00:00, 20.1MB/s]\r\n",
+      "\r",
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+      "\r",
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+      "Setting num_proc from 32 to 6 for the train split as it only contains 6 shards.\r\n",
+      "\r",
+      "Generating train split:   0%|                | 0/1000000 [00:00<?, ? examples/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  11%| | 110000/1000000 [00:00<00:03, 238969.18 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  16%|▏| 160000/1000000 [00:00<00:02, 311348.00 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  21%|▏| 210000/1000000 [00:00<00:02, 338556.80 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  25%|▎| 250000/1000000 [00:00<00:02, 352290.84 examples/"
+     ]
+    },
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+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  40%|▍| 400000/1000000 [00:01<00:01, 402941.38 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  45%|▍| 450000/1000000 [00:01<00:01, 387235.70 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  50%|▌| 500000/1000000 [00:01<00:01, 401958.57 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  55%|▌| 550000/1000000 [00:01<00:01, 408644.69 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  60%|▌| 600000/1000000 [00:01<00:01, 383854.23 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  65%|▋| 650000/1000000 [00:01<00:00, 375131.11 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  71%|▋| 710000/1000000 [00:02<00:00, 415002.22 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  76%|▊| 760000/1000000 [00:02<00:00, 414304.26 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  81%|▊| 810000/1000000 [00:02<00:00, 377946.50 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  87%|▊| 870000/1000000 [00:02<00:00, 383871.51 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  93%|▉| 933332/1000000 [00:02<00:00, 438596.28 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split:  98%|▉| 983333/1000000 [00:02<00:00, 408966.43 examples/"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Generating train split: 100%|█| 1000000/1000000 [00:02<00:00, 341034.35 examples\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Map (num_proc=32):   0%|                     | 0/1000000 [00:00<?, ? examples/s]"
+     ]
+    },
+    {
+     "name": "stdout",
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+     ]
+    },
+    {
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+     ]
+    },
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+     ]
+    },
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+     ]
+    },
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+     ]
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+    {
+     "name": "stdout",
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+      "Saving the dataset (1/3 shards):  33%|▎| 18134/54401 [00:00<00:01, 20671.04 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
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+     ]
+    },
+    {
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+     ]
+    },
+    {
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+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
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+     ]
+    },
+    {
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+      "\r",
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+     ]
+    },
+    {
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+      "\r",
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+     ]
+    },
+    {
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+     "text": [
+      "\r",
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+     ]
+    },
+    {
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+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (3/3 shards): 100%|█| 54401/54401 [00:02<00:00, 22958.26 exam\r",
+      "Saving the dataset (3/3 shards): 100%|█| 54401/54401 [00:02<00:00, 21876.21 exam\r\n",
+      "\r",
+      "Saving the dataset (0/1 shards):   0%|           | 0/109 [00:00<?, ? examples/s]\r",
+      "Saving the dataset (1/1 shards): 100%|█| 109/109 [00:00<00:00, 8913.09 examples/\r",
+      "Saving the dataset (1/1 shards): 100%|█| 109/109 [00:00<00:00, 8597.79 examples/\r\n"
      ]
     }
    ],
    "source": [
     "# Lets preload the requried dataset \n",
     "!cd \"{TRAINER_DIR}\" && \\\n",
-    "    python3 preload_datapath.py \"{NOTEBOOK_DIR}/v5base-enwiki-4k-part1.yaml\""
+    "    python3 preload_datapath.py \"{NOTEBOOK_DIR}/enwiki-4k-part1.yaml\""
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "f656d56b",
+   "id": "15bfedcd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-29T05:07:01.598719Z",
-     "iopub.status.busy": "2023-09-29T05:07:01.597947Z",
-     "iopub.status.idle": "2023-09-29T05:07:01.851778Z",
-     "shell.execute_reply": "2023-09-29T05:07:01.850738Z"
+     "iopub.execute_input": "2023-09-29T05:55:02.566746Z",
+     "iopub.status.busy": "2023-09-29T05:55:02.566300Z",
+     "iopub.status.idle": "2023-09-29T05:55:02.821224Z",
+     "shell.execute_reply": "2023-09-29T05:55:02.820061Z"
     },
     "papermill": {
-     "duration": 0.265316,
-     "end_time": "2023-09-29T05:07:01.854564",
+     "duration": 0.376523,
+     "end_time": "2023-09-29T05:55:02.823652",
      "exception": false,
-     "start_time": "2023-09-29T05:07:01.589248",
+     "start_time": "2023-09-29T05:55:02.447129",
      "status": "completed"
     },
     "tags": []
@@ -546,7 +17755,7 @@
     "!cd \"{TRAINER_DIR}\" && \\\n",
     "    export WANDB_MODE=\"{WANDB_MODE}\" && \\\n",
     "    python lightning_trainer.py fit \\\n",
-    "        -c \"{NOTEBOOK_DIR}/v5base-enwiki-4k-part1.yaml\" \\\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",
@@ -559,19 +17768,19 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "c7b46f94",
+   "id": "3f09ba8e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-29T05:07:01.871225Z",
-     "iopub.status.busy": "2023-09-29T05:07:01.870345Z",
-     "iopub.status.idle": "2023-09-29T05:07:02.373808Z",
-     "shell.execute_reply": "2023-09-29T05:07:02.372753Z"
+     "iopub.execute_input": "2023-09-29T05:55:03.057758Z",
+     "iopub.status.busy": "2023-09-29T05:55:03.057339Z",
+     "iopub.status.idle": "2023-09-29T05:55:03.559231Z",
+     "shell.execute_reply": "2023-09-29T05:55:03.558078Z"
     },
     "papermill": {
-     "duration": 0.51526,
-     "end_time": "2023-09-29T05:07:02.376685",
+     "duration": 0.622283,
+     "end_time": "2023-09-29T05:55:03.561504",
      "exception": false,
-     "start_time": "2023-09-29T05:07:01.861425",
+     "start_time": "2023-09-29T05:55:02.939221",
      "status": "completed"
     },
     "tags": []
@@ -602,19 +17811,19 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9f558c57",
+   "id": "fc3229d6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-29T05:07:02.393471Z",
-     "iopub.status.busy": "2023-09-29T05:07:02.392695Z",
-     "iopub.status.idle": "2023-09-29T05:07:08.804315Z",
-     "shell.execute_reply": "2023-09-29T05:07:08.803244Z"
+     "iopub.execute_input": "2023-09-29T05:55:03.798050Z",
+     "iopub.status.busy": "2023-09-29T05:55:03.797179Z",
+     "iopub.status.idle": "2023-09-29T05:55:10.219851Z",
+     "shell.execute_reply": "2023-09-29T05:55:10.218764Z"
     },
     "papermill": {
-     "duration": 6.42299,
-     "end_time": "2023-09-29T05:07:08.806769",
+     "duration": 6.543652,
+     "end_time": "2023-09-29T05:55:10.222175",
      "exception": false,
-     "start_time": "2023-09-29T05:07:02.383779",
+     "start_time": "2023-09-29T05:55:03.678523",
      "status": "completed"
     },
     "tags": []
@@ -624,7 +17833,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[2023-09-29 05:07:06,749] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
+      "[2023-09-29 05:55:08,169] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
      ]
     },
     {
@@ -670,14 +17879,14 @@
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 44.644446,
-   "end_time": "2023-09-29T05:07:09.133994",
+   "duration": 416.415898,
+   "end_time": "2023-09-29T05:55:10.831493",
    "environment_variables": {},
    "exception": null,
    "input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb",
    "output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/experiment/rwkv-x-exp/multi-size-train/v5-L6-D2048-part1.ipynb",
    "parameters": {},
-   "start_time": "2023-09-29T05:06:24.489548",
+   "start_time": "2023-09-29T05:48:14.415595",
    "version": "2.4.0"
   }
  },