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"
new file mode 100644--- /dev/null
+++ "b/experiment/rwkv-x-exp/multi-size-train/v5-L12-D2048-part1.ipynb"
@@ -0,0 +1,15954 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "403604b7",
+   "metadata": {
+    "papermill": {
+     "duration": 0.002912,
+     "end_time": "2023-09-29T05:56:34.178431",
+     "exception": false,
+     "start_time": "2023-09-29T05:56:34.175519",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "source": [
+    "# RWKV v5 multi-size training experiment\n",
+    "\n",
+    "**Note:** This project assumes you have the rwkv-infctx conda env setup"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "3a120d89",
+   "metadata": {
+    "papermill": {
+     "duration": 0.002318,
+     "end_time": "2023-09-29T05:56:34.184361",
+     "exception": false,
+     "start_time": "2023-09-29T05:56:34.182043",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "source": [
+    "# Basic Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "8949fa01",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T05:56:34.188493Z",
+     "iopub.status.busy": "2023-09-29T05:56:34.188124Z",
+     "iopub.status.idle": "2023-09-29T05:56:34.854422Z",
+     "shell.execute_reply": "2023-09-29T05:56:34.853652Z"
+    },
+    "papermill": {
+     "duration": 0.670486,
+     "end_time": "2023-09-29T05:56:34.856364",
+     "exception": false,
+     "start_time": "2023-09-29T05:56:34.185878",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# First lets setup the various directories, and init the model\n",
+    "!mkdir -p ../../../../model/\n",
+    "!mkdir -p ../../../../datapath/\n",
+    "!mkdir -p ../../../../checkpoint/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "dc84d15b",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T05:56:34.862583Z",
+     "iopub.status.busy": "2023-09-29T05:56:34.862335Z",
+     "iopub.status.idle": "2023-09-29T05:56:34.870376Z",
+     "shell.execute_reply": "2023-09-29T05:56:34.869641Z"
+    },
+    "papermill": {
+     "duration": 0.012677,
+     "end_time": "2023-09-29T05:56:34.871741",
+     "exception": false,
+     "start_time": "2023-09-29T05:56:34.859064",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DEEPSPEED_STRAT: deepspeed_stage_1\n",
+      "ENABLE_WANDB: True\n",
+      "GPU_DEVICES: auto\n",
+      "NOTEBOOK_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/rwkv-x-exp/multi-size-train\n",
+      "INFERENCE_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5\n",
+      "TRAINER_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5\n",
+      "PROJECT_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer\n"
+     ]
+    }
+   ],
+   "source": [
+    "DEEPSPEED_STRAT=\"deepspeed_stage_1\"\n",
+    "GPU_DEVICES=\"auto\"\n",
+    "ENABLE_WANDB=True\n",
+    "\n",
+    "EMBED_SCALE=0.01\n",
+    "EMBED_SCALE_LABEL=str(EMBED_SCALE).replace(\".\", \"_\")\n",
+    "\n",
+    "LAYER_COUNT=12\n",
+    "EMBED_SIZE=2048\n",
+    "\n",
+    "WANDB_PREFIX=f\"[Multi-size] v5-L{LAYER_COUNT}-D{EMBED_SIZE}-E{EMBED_SCALE}\"\n",
+    "FILENAME_PREFIX=f\"v5-L{LAYER_COUNT}-D{EMBED_SIZE}-E{EMBED_SCALE_LABEL}\"\n",
+    "\n",
+    "print(\"DEEPSPEED_STRAT:\", DEEPSPEED_STRAT)\n",
+    "print(\"ENABLE_WANDB:\", ENABLE_WANDB)\n",
+    "print(\"GPU_DEVICES:\", GPU_DEVICES)\n",
+    "\n",
+    "if ENABLE_WANDB:\n",
+    "    WANDB_MODE=\"online\"\n",
+    "else:\n",
+    "    WANDB_MODE=\"disabled\"\n",
+    "\n",
+    "# Computing the notebook, and various paths\n",
+    "import os\n",
+    "NOTEBOOK_DIR=os.path.dirname(os.path.abspath(\"__file__\"))\n",
+    "PROJECT_DIR=os.path.abspath(os.path.join(NOTEBOOK_DIR, \"../../../../\"))\n",
+    "TRAINER_DIR=os.path.abspath(os.path.join(PROJECT_DIR, \"./RWKV-v5/\"))\n",
+    "INFERENCE_DIR=os.path.abspath(os.path.join(PROJECT_DIR, \"./RWKV-v5/\"))\n",
+    "\n",
+    "print(\"NOTEBOOK_DIR:\", NOTEBOOK_DIR)\n",
+    "print(\"INFERENCE_DIR:\", INFERENCE_DIR)\n",
+    "print(\"TRAINER_DIR:\", TRAINER_DIR)\n",
+    "print(\"PROJECT_DIR:\", PROJECT_DIR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "3e8278e4",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T05:56:34.877052Z",
+     "iopub.status.busy": "2023-09-29T05:56:34.876592Z",
+     "iopub.status.idle": "2023-09-29T05:57:04.417944Z",
+     "shell.execute_reply": "2023-09-29T05:57:04.417221Z"
+    },
+    "papermill": {
+     "duration": 29.546096,
+     "end_time": "2023-09-29T05:57:04.419963",
+     "exception": false,
+     "start_time": "2023-09-29T05:56:34.873867",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2023-09-29 05:56:37,806] [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: 12\r\n",
+      "Embedding size: 2048\r\n",
+      "Output model path: ../model/v5-L12-D2048-E0_01-neox-v5base-init.pth\r\n",
+      "Vocab size: 50277\r\n",
+      "Emb scale: 0.01\r\n",
+      "Note: this process takes a significant time (and ram) for large models\r\n",
+      "---- ----- ----\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "50277 2048  -0.01 emb.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.0.att.gate.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.0.att.receptance.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.0.att.key.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.0.att.value.weight\r\n"
+     ]
+    },
+    {
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+      "2048  2048  0    blocks.0.att.output.weight\r\n",
+      "7168  2048  1.0  blocks.0.ffn.key.weight\r\n"
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+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.10.att.key.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.10.att.value.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  0    blocks.10.att.output.weight\r\n",
+      "7168  2048  1.0  blocks.10.ffn.key.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  0    blocks.10.ffn.receptance.weight\r\n",
+      "2048  7168  0    blocks.10.ffn.value.weight\r\n",
+      "2048  2048  1.0  blocks.11.att.gate.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.11.att.receptance.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.11.att.key.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  1.0  blocks.11.att.value.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  0    blocks.11.att.output.weight\r\n",
+      "7168  2048  1.0  blocks.11.ffn.key.weight\r\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2048  2048  0    blocks.11.ffn.receptance.weight\r\n",
+      "2048  7168  0    blocks.11.ffn.value.weight\r\n",
+      "50277 2048  0.5  head.weight\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Init the model\n",
+    "!cd \"{TRAINER_DIR}\" && \\\n",
+    "    python3 ./init_model.py \\\n",
+    "        --n_layer {LAYER_COUNT} --n_embd {EMBED_SIZE} \\\n",
+    "        --emb-scale \"{EMBED_SCALE}\" \\\n",
+    "        --vocab_size neox --skip-if-exists \\\n",
+    "        \"../model/{FILENAME_PREFIX}-neox-v5base-init.pth\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f5efbe",
+   "metadata": {
+    "papermill": {
+     "duration": 0.004414,
+     "end_time": "2023-09-29T05:57:04.432709",
+     "exception": false,
+     "start_time": "2023-09-29T05:57:04.428295",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "source": [
+    "## Enwiki Stage 1 : Foundation 4k model training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0bc8ec73",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T05:57:04.441904Z",
+     "iopub.status.busy": "2023-09-29T05:57:04.441548Z",
+     "iopub.status.idle": "2023-09-29T06:02:22.847012Z",
+     "shell.execute_reply": "2023-09-29T06:02:22.846216Z"
+    },
+    "papermill": {
+     "duration": 318.412248,
+     "end_time": "2023-09-29T06:02:22.848898",
+     "exception": false,
+     "start_time": "2023-09-29T05:57:04.436650",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Map (num_proc=16):   0%|                     | 0/1000000 [00:00<?, ? examples/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Map (num_proc=16):   0%|         | 50/1000000 [00:00<1:01:22, 271.54 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",
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+     ]
+    },
+    {
+     "name": "stdout",
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+     "text": [
+      "\r",
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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",
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+     ]
+    },
+    {
+     "name": "stdout",
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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",
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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",
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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",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+     ]
+    },
+    {
+     "name": "stdout",
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+     ]
+    },
+    {
+     "name": "stdout",
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+     ]
+    },
+    {
+     "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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+      "\r",
+      "Saving the dataset (0/3 shards):  11%| | 6000/54405 [00:00<00:03, 13986.02 examp"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  15%|▏| 8000/54405 [00:00<00:03, 14332.69 examp"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  18%|▏| 10000/54405 [00:00<00:03, 14145.48 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  22%|▏| 12000/54405 [00:00<00:02, 14218.00 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  26%|▎| 14000/54405 [00:00<00:02, 14391.99 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  29%|▎| 16000/54405 [00:01<00:02, 14576.20 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (0/3 shards):  33%|▎| 18000/54405 [00:01<00:02, 14961.34 exam\r",
+      "Saving the dataset (1/3 shards):  33%|▎| 18135/54405 [00:01<00:02, 14961.34 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  37%|▎| 20135/54405 [00:01<00:02, 15124.00 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  41%|▍| 22135/54405 [00:01<00:02, 15096.98 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  44%|▍| 24135/54405 [00:01<00:02, 14864.21 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  48%|▍| 26135/54405 [00:01<00:01, 14690.98 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  52%|▌| 28135/54405 [00:01<00:01, 14341.68 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  55%|▌| 30135/54405 [00:02<00:01, 13039.11 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  63%|▋| 34135/54405 [00:02<00:01, 10698.28 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/3 shards):  66%|▋| 36135/54405 [00:02<00:01, 10349.28 exam\r",
+      "Saving the dataset (2/3 shards):  67%|▋| 36270/54405 [00:02<00:01, 10349.28 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  69%|▋| 37270/54405 [00:02<00:01, 10133.62 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  72%|▋| 39270/54405 [00:03<00:01, 9951.87 examp"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  76%|▊| 41270/54405 [00:03<00:01, 10059.39 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  80%|▊| 43270/54405 [00:03<00:01, 10319.68 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  83%|▊| 45270/54405 [00:03<00:00, 10664.37 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  87%|▊| 47270/54405 [00:03<00:00, 11079.96 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  91%|▉| 49270/54405 [00:03<00:00, 11535.76 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  94%|▉| 51270/54405 [00:04<00:00, 12141.69 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (2/3 shards):  98%|▉| 53270/54405 [00:04<00:00, 12641.84 exam"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (3/3 shards): 100%|█| 54405/54405 [00:04<00:00, 12641.84 exam\r",
+      "Saving the dataset (3/3 shards): 100%|█| 54405/54405 [00:04<00:00, 12493.71 exam\r\n",
+      "\r",
+      "Saving the dataset (0/1 shards):   0%|           | 0/109 [00:00<?, ? examples/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Saving the dataset (1/1 shards): 100%|█| 109/109 [00:00<00:00, 10212.87 examples\r",
+      "Saving the dataset (1/1 shards): 100%|█| 109/109 [00:00<00:00, 10045.24 examples\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Lets preload the requried dataset \n",
+    "!cd \"{TRAINER_DIR}\" && \\\n",
+    "    python3 preload_datapath.py \"{NOTEBOOK_DIR}/enwiki-4k-part1.yaml\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9553cca7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T06:02:22.996549Z",
+     "iopub.status.busy": "2023-09-29T06:02:22.995984Z",
+     "iopub.status.idle": "2023-09-29T06:02:23.220973Z",
+     "shell.execute_reply": "2023-09-29T06:02:23.220218Z"
+    },
+    "papermill": {
+     "duration": 0.298962,
+     "end_time": "2023-09-29T06:02:23.222622",
+     "exception": false,
+     "start_time": "2023-09-29T06:02:22.923660",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/usr/bin/sh: 1: python: not found\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Start the foundation model training\n",
+    "!cd \"{TRAINER_DIR}\" && \\\n",
+    "    export WANDB_MODE=\"{WANDB_MODE}\" && \\\n",
+    "    python 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": "57fc24eb",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T06:02:23.372270Z",
+     "iopub.status.busy": "2023-09-29T06:02:23.371974Z",
+     "iopub.status.idle": "2023-09-29T06:02:23.812570Z",
+     "shell.execute_reply": "2023-09-29T06:02:23.811861Z"
+    },
+    "papermill": {
+     "duration": 0.515407,
+     "end_time": "2023-09-29T06:02:23.814292",
+     "exception": false,
+     "start_time": "2023-09-29T06:02:23.298885",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/usr/bin/sh: 1: python: not found\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",
+    "    python 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": "7cfa04c5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-29T06:02:23.964300Z",
+     "iopub.status.busy": "2023-09-29T06:02:23.963981Z",
+     "iopub.status.idle": "2023-09-29T06:02:27.911591Z",
+     "shell.execute_reply": "2023-09-29T06:02:27.910851Z"
+    },
+    "papermill": {
+     "duration": 4.022282,
+     "end_time": "2023-09-29T06:02:27.913551",
+     "exception": false,
+     "start_time": "2023-09-29T06:02:23.891269",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2023-09-29 06:02:26,883] [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",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 1420, in __init__\r\n",
+      "    self.model = RWKV(**model_config)\r\n",
+      "  File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 566, in __init__\r\n",
+      "    raise ValueError(f\"load_model file '{load_model}' does not exist\")\r\n",
+      "ValueError: load_model file '../model/v5-L12-D2048-E0_01-enwiki-4k-p1.pth' does not exist\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "# # Lets do a quick dragon prompt validation\n",
+    "!cd \"{INFERENCE_DIR}\" && \\\n",
+    "    python3 dragon_test.py \"../model/{FILENAME_PREFIX}-enwiki-4k-p1.pth\" \"cuda fp32\""
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  },
+  "papermill": {
+   "default_parameters": {},
+   "duration": 354.822024,
+   "end_time": "2023-09-29T06:02:28.105571",
+   "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": "2023-09-29T05:56:33.283547",
+   "version": "2.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
\ No newline at end of file