[GHA] experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage3.ipynb result notebook & reports
#147
by
picocreator
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@@ -92,3 +92,4 @@ experiment/rwkv-x-exp/v5-r3-memory/L6-D2560-E1e-1-ctx4k/part1.ipynb filter=lfs d
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2560-E1e-1-ctx4k/stage2.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage2.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2560-E1e-1-ctx4k/stage3.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2560-E1e-1-ctx4k/stage2.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage2.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2560-E1e-1-ctx4k/stage3.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage3.ipynb filter=lfs diff=lfs merge=lfs -text
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experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage3.ipynb
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"attachments": {},
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"cell_type": "markdown",
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"id": "83b29667",
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"metadata": {
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"duration": 0.004177,
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"end_time": "2023-09-14T04:09:42.595329",
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"exception": false,
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"start_time": "2023-09-14T04:09:42.591152",
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"status": "completed"
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},
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"tags": []
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},
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"source": [
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"# RWKV v5\n",
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"\n",
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"Simple memory training for a small model\n",
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"\n",
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"**Note:** This project assumes you have the rwkv-infctx conda env setup"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "e81e130e",
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"metadata": {
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"duration": 0.00248,
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"end_time": "2023-09-14T04:09:42.600743",
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"exception": false,
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"start_time": "2023-09-14T04:09:42.598263",
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"status": "completed"
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},
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"tags": []
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},
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"source": [
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"# Basic Setup"
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "30eb35b6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-09-14T04:09:42.604796Z",
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"iopub.status.idle": "2023-09-14T04:09:43.475229Z",
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"shell.execute_reply": "2023-09-14T04:09:43.474410Z"
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"papermill": {
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"duration": 0.874952,
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"end_time": "2023-09-14T04:09:43.477084",
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"exception": false,
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"start_time": "2023-09-14T04:09:42.602132",
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"status": "completed"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CITATION.cff RWKV-v4wavenet\t RWKV-v5headsize2x checkpoint\tnotebook\r\n",
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"LICENSE RWKV-v5\t\t RWKV-v5headsize32 datapath\toutput\r\n",
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"README.md RWKV-v5-beta2\t RWKV-v5rstack\t docker\r\n",
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"RWKV-v4neo RWKV-v5altwavenet RWKV-v5wavenet model\r\n"
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]
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}
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],
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"source": [
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"# First lets setup the various directories, and init the model\n",
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"!ls ../../../../../\n",
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"!mkdir -p ../../../../../model/\n",
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"!mkdir -p ../../../../../datapath/\n",
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"!mkdir -p ../../../../../checkpoint/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "62846b47",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-09-14T04:09:43.484470Z",
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"shell.execute_reply": "2023-09-14T04:09:45.593478Z"
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"duration": 2.115687,
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"end_time": "2023-09-14T04:09:45.595985",
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"exception": false,
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"start_time": "2023-09-14T04:09:43.480298",
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"status": "completed"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
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"\u001b[0m"
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]
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}
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],
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"source": [
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"# Additional dependencies for eval stuff\n",
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"!pip3 install -q aiocsv aiofiles"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "8b76286e",
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"metadata": {
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"execution": {
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"papermill": {
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"duration": 0.01509,
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"end_time": "2023-09-14T04:09:45.614344",
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"exception": false,
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"start_time": "2023-09-14T04:09:45.599254",
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"status": "completed"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"DEEPSPEED_STRAT: deepspeed_stage_1\n",
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"ENABLE_WANDB: True\n",
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"GPU_DEVICES: auto\n",
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"DIR_NAME: L6-D2048-E1e-1-ctx4k\n",
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"NOTEBOOK_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k\n",
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"INFERENCE_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5\n",
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"TRAINER_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5\n",
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"PROJECT_DIR: /actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer\n"
|
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]
|
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}
|
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],
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"source": [
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"DEEPSPEED_STRAT=\"deepspeed_stage_1\"\n",
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"GPU_DEVICES=\"auto\"\n",
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"ENABLE_WANDB=True\n",
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"\n",
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"# Layer count and embed dim to start with\n",
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"LAYER_COUNT=6\n",
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"EMBED_DIM=2048\n",
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"\n",
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"EMBED_SCALE=0.1\n",
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"EMBED_SCALE_LABEL=str(EMBED_SCALE).replace(\".\", \"_\")\n",
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"\n",
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"WANDB_PREFIX=f\"v5r3-L{LAYER_COUNT}-D{EMBED_DIM}-E{EMBED_SCALE}\"\n",
|
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"FILENAME_PREFIX=f\"v5r3-L{LAYER_COUNT}-D{EMBED_DIM}-E{EMBED_SCALE_LABEL}\"\n",
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"\n",
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"print(\"DEEPSPEED_STRAT:\", DEEPSPEED_STRAT)\n",
|
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"print(\"ENABLE_WANDB:\", ENABLE_WANDB)\n",
|
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"print(\"GPU_DEVICES:\", GPU_DEVICES)\n",
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"\n",
|
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"if ENABLE_WANDB:\n",
|
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" WANDB_MODE=\"online\"\n",
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"else:\n",
|
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" WANDB_MODE=\"disabled\"\n",
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"\n",
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"# Computing the notebook, and various paths\n",
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"import os\n",
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"NOTEBOOK_DIR=os.path.dirname(os.path.abspath(\"__file__\"))\n",
|
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"CONFIG_DIR=os.path.abspath(os.path.join(NOTEBOOK_DIR, \"../\"))\n",
|
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"PROJECT_DIR=os.path.abspath(os.path.join(CONFIG_DIR, \"../../../../\"))\n",
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"TRAINER_DIR=os.path.abspath(os.path.join(PROJECT_DIR, \"./RWKV-v5/\"))\n",
|
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"INFERENCE_DIR=os.path.abspath(os.path.join(PROJECT_DIR, \"./RWKV-v5/\"))\n",
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"\n",
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"# Get the notebook dir name\n",
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"DIR_NAME=os.path.basename(NOTEBOOK_DIR)\n",
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"\n",
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"# Log names and dir\n",
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"print(\"DIR_NAME:\", DIR_NAME)\n",
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"print(\"NOTEBOOK_DIR:\", NOTEBOOK_DIR)\n",
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"print(\"INFERENCE_DIR:\", INFERENCE_DIR)\n",
|
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"print(\"TRAINER_DIR:\", TRAINER_DIR)\n",
|
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"print(\"PROJECT_DIR:\", PROJECT_DIR)"
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]
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},
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{
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"cell_type": "code",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"--2023-09-14 04:09:45-- https://huggingface.co/rwkv-x-dev/rwkv-x-playground/resolve/main/experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/v5r3-L6-D2048-E0_1-mem-ctx-512.pth\r\n",
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"text": [
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"302 Found\r\n",
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"Location: https://cdn-lfs.huggingface.co/repos/2e/f7/2ef78555202aa92abdbdf476ce3d0fd5a8b15f7245edf0b80d4d30572355f30d/92bee66e66bfcba8c592c785b63cb88f4e4889d78d7cdc49c33bd53bf0e3c31f?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5r3-L6-D2048-E0_1-mem-ctx-512.pth%3B+filename%3D%22v5r3-L6-D2048-E0_1-mem-ctx-512.pth%22%3B&Expires=1694923785&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5NDkyMzc4NX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy8yZS9mNy8yZWY3ODU1NTIwMmFhOTJhYmRiZGY0NzZjZTNkMGZkNWE4YjE1ZjcyNDVlZGYwYjgwZDRkMzA1NzIzNTVmMzBkLzkyYmVlNjZlNjZiZmNiYThjNTkyYzc4NWI2M2NiODhmNGU0ODg5ZDc4ZDdjZGM0OWMzM2JkNTNiZjBlM2MzMWY%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=AzuHbkYMQgD0pHP1CFX1tdK-cjGb4Y8LvRXLbAmb9kT0d-Ldc2HT5Sr%7EokrLW-0-EumdDAJHoXxv-2KjYIVh702%7EN2hmQ5TxXxSZinQa%7EBXn9iUEVcmUvmqCtQ6b-4WiKBLmLPPzodpRs7hB0oXKrMI0rYgAhw6ue1xCaRlraEb75ZWUio0oP122zwSYVC3pXuhIsFkUUI0mONTWh5r4weCBpAXNgRFgKkR4cSm9yXJb6519Fy-nCqbXrmKDJdami5QOa--SPZ3bBwK7MJdZnMe2Ekl1DKwKEzbIHRiJ1vmap2oVTW3Yj2LjB8qTWbmUSNgc8DLKevXf2GyW9qhXHQ__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
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"--2023-09-14 04:09:46-- https://cdn-lfs.huggingface.co/repos/2e/f7/2ef78555202aa92abdbdf476ce3d0fd5a8b15f7245edf0b80d4d30572355f30d/92bee66e66bfcba8c592c785b63cb88f4e4889d78d7cdc49c33bd53bf0e3c31f?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5r3-L6-D2048-E0_1-mem-ctx-512.pth%3B+filename%3D%22v5r3-L6-D2048-E0_1-mem-ctx-512.pth%22%3B&Expires=1694923785&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5NDkyMzc4NX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy8yZS9mNy8yZWY3ODU1NTIwMmFhOTJhYmRiZGY0NzZjZTNkMGZkNWE4YjE1ZjcyNDVlZGYwYjgwZDRkMzA1NzIzNTVmMzBkLzkyYmVlNjZlNjZiZmNiYThjNTkyYzc4NWI2M2NiODhmNGU0ODg5ZDc4ZDdjZGM0OWMzM2JkNTNiZjBlM2MzMWY%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=AzuHbkYMQgD0pHP1CFX1tdK-cjGb4Y8LvRXLbAmb9kT0d-Ldc2HT5Sr%7EokrLW-0-EumdDAJHoXxv-2KjYIVh702%7EN2hmQ5TxXxSZinQa%7EBXn9iUEVcmUvmqCtQ6b-4WiKBLmLPPzodpRs7hB0oXKrMI0rYgAhw6ue1xCaRlraEb75ZWUio0oP122zwSYVC3pXuhIsFkUUI0mONTWh5r4weCBpAXNgRFgKkR4cSm9yXJb6519Fy-nCqbXrmKDJdami5QOa--SPZ3bBwK7MJdZnMe2Ekl1DKwKEzbIHRiJ1vmap2oVTW3Yj2LjB8qTWbmUSNgc8DLKevXf2GyW9qhXHQ__&Key-Pair-Id=KVTP0A1DKRTAX\r\n",
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"18.155.68.73, 18.155.68.98, 18.155.68.94, ...\r\n",
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"text": [
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"200 OK\r\n",
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"Length: 1066537217 (1017M) [binary/octet-stream]\r\n",
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"Saving to: ‘v5r3-L6-D2048-E0_1-mem-ctx-512.pth’\r\n",
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"\r\n",
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"\r",
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" v5r3-L6-D20 1%[ ] 17.62M 2.84MB/s eta 13m 30s"
|
695 |
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697 |
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{
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698 |
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|
699 |
-
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700 |
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701 |
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702 |
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" v5r3-L6-D204 1%[ ] 18.81M 3.02MB/s eta 13m 30s"
|
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704 |
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705 |
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706 |
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|
707 |
-
"output_type": "stream",
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710 |
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" v5r3-L6-D2048 1%[ ] 20.06M 3.21MB/s eta 13m 30s"
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712 |
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713 |
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715 |
-
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718 |
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" v5r3-L6-D2048- 2%[ ] 21.37M 3.41MB/s eta 10m 37s"
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723 |
-
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" v5r3-L6-D2048-E 2%[ ] 22.76M 3.62MB/s eta 10m 37s"
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731 |
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732 |
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734 |
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" v5r3-L6-D2048-E0 2%[ ] 24.22M 3.93MB/s eta 10m 37s"
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737 |
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739 |
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" v5r3-L6-D2048-E0_ 2%[ ] 25.75M 4.16MB/s eta 10m 37s"
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747 |
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750 |
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" v5r3-L6-D2048-E0_1 2%[ ] 27.36M 4.40MB/s eta 10m 37s"
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752 |
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755 |
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763 |
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771 |
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|
779 |
-
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782 |
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819 |
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827 |
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835 |
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843 |
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846 |
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851 |
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"output_type": "stream",
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"output_type": "stream",
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" v5r3-L6-D20 9%[> ] 93.42M 5.91MB/s eta 4m 15s "
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1123 |
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1203 |
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"output_type": "stream",
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"3-L6-D2048-E0_1-mem 10%[=> ] 108.87M 6.08MB/s eta 3m 58s "
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"output_type": "stream",
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"L6-D2048-E0_1-mem-c 10%[=> ] 111.70M 5.85MB/s eta 3m 58s "
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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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1371 |
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1403 |
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"output_type": "stream",
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1427 |
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"output_type": "stream",
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{
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"name": "stdout",
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1435 |
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"output_type": "stream",
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"text": [
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{
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"name": "stdout",
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1443 |
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"output_type": "stream",
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"text": [
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"h 15%[==> ] 155.23M 6.93MB/s eta 3m 19s "
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\r",
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{
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1459 |
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"output_type": "stream",
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1467 |
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"output_type": "stream",
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" v5 15%[==> ] 160.19M 7.17MB/s eta 3m 12s "
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{
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"name": "stdout",
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1475 |
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"output_type": "stream",
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" v5r 15%[==> ] 161.01M 7.14MB/s eta 3m 12s "
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{
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"name": "stdout",
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1483 |
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"output_type": "stream",
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"text": [
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" v5r3 16%[==> ] 162.95M 7.14MB/s eta 3m 12s "
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"output_type": "stream",
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"text": [
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"output_type": "stream",
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"output_type": "stream",
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-
"text": [
|
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"\r",
|
1526 |
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" v5r3-L6-D 17%[==> ] 173.42M 7.87MB/s eta 3m 5s "
|
1527 |
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]
|
1528 |
-
},
|
1529 |
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{
|
1530 |
-
"name": "stdout",
|
1531 |
-
"output_type": "stream",
|
1532 |
-
"text": [
|
1533 |
-
"\r",
|
1534 |
-
" v5r3-L6-D2 17%[==> ] 175.65M 8.43MB/s eta 3m 5s "
|
1535 |
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]
|
1536 |
-
},
|
1537 |
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{
|
1538 |
-
"name": "stdout",
|
1539 |
-
"output_type": "stream",
|
1540 |
-
"text": [
|
1541 |
-
"\r",
|
1542 |
-
" v5r3-L6-D20 17%[==> ] 177.94M 8.48MB/s eta 3m 5s "
|
1543 |
-
]
|
1544 |
-
},
|
1545 |
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{
|
1546 |
-
"name": "stdout",
|
1547 |
-
"output_type": "stream",
|
1548 |
-
"text": [
|
1549 |
-
"\r",
|
1550 |
-
" v5r3-L6-D204 17%[==> ] 180.28M 8.42MB/s eta 2m 57s "
|
1551 |
-
]
|
1552 |
-
},
|
1553 |
-
{
|
1554 |
-
"name": "stdout",
|
1555 |
-
"output_type": "stream",
|
1556 |
-
"text": [
|
1557 |
-
"\r",
|
1558 |
-
" v5r3-L6-D2048 17%[==> ] 182.67M 8.93MB/s eta 2m 57s "
|
1559 |
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]
|
1560 |
-
},
|
1561 |
-
{
|
1562 |
-
"name": "stdout",
|
1563 |
-
"output_type": "stream",
|
1564 |
-
"text": [
|
1565 |
-
"\r",
|
1566 |
-
" v5r3-L6-D2048- 18%[==> ] 185.12M 8.79MB/s eta 2m 57s "
|
1567 |
-
]
|
1568 |
-
},
|
1569 |
-
{
|
1570 |
-
"name": "stdout",
|
1571 |
-
"output_type": "stream",
|
1572 |
-
"text": [
|
1573 |
-
"\r",
|
1574 |
-
" v5r3-L6-D2048-E 18%[==> ] 187.65M 9.09MB/s eta 2m 57s "
|
1575 |
-
]
|
1576 |
-
},
|
1577 |
-
{
|
1578 |
-
"name": "stdout",
|
1579 |
-
"output_type": "stream",
|
1580 |
-
"text": [
|
1581 |
-
"\r",
|
1582 |
-
" v5r3-L6-D2048-E0 18%[==> ] 190.23M 9.09MB/s eta 2m 57s "
|
1583 |
-
]
|
1584 |
-
},
|
1585 |
-
{
|
1586 |
-
"name": "stdout",
|
1587 |
-
"output_type": "stream",
|
1588 |
-
"text": [
|
1589 |
-
"\r",
|
1590 |
-
" v5r3-L6-D2048-E0_ 18%[==> ] 192.89M 9.54MB/s eta 2m 48s "
|
1591 |
-
]
|
1592 |
-
},
|
1593 |
-
{
|
1594 |
-
"name": "stdout",
|
1595 |
-
"output_type": "stream",
|
1596 |
-
"text": [
|
1597 |
-
"\r",
|
1598 |
-
" v5r3-L6-D2048-E0_1 19%[==> ] 195.59M 9.55MB/s eta 2m 48s "
|
1599 |
-
]
|
1600 |
-
},
|
1601 |
-
{
|
1602 |
-
"name": "stdout",
|
1603 |
-
"output_type": "stream",
|
1604 |
-
"text": [
|
1605 |
-
"\r",
|
1606 |
-
"v5r3-L6-D2048-E0_1- 19%[==> ] 198.34M 10.2MB/s eta 2m 48s "
|
1607 |
-
]
|
1608 |
-
},
|
1609 |
-
{
|
1610 |
-
"name": "stdout",
|
1611 |
-
"output_type": "stream",
|
1612 |
-
"text": [
|
1613 |
-
"\r",
|
1614 |
-
"5r3-L6-D2048-E0_1-m 19%[==> ] 201.22M 10.1MB/s eta 2m 48s "
|
1615 |
-
]
|
1616 |
-
},
|
1617 |
-
{
|
1618 |
-
"name": "stdout",
|
1619 |
-
"output_type": "stream",
|
1620 |
-
"text": [
|
1621 |
-
"\r",
|
1622 |
-
"r3-L6-D2048-E0_1-me 20%[===> ] 204.00M 10.3MB/s eta 2m 48s "
|
1623 |
-
]
|
1624 |
-
},
|
1625 |
-
{
|
1626 |
-
"name": "stdout",
|
1627 |
-
"output_type": "stream",
|
1628 |
-
"text": [
|
1629 |
-
"\r",
|
1630 |
-
"3-L6-D2048-E0_1-mem 20%[===> ] 207.01M 10.3MB/s eta 2m 39s "
|
1631 |
-
]
|
1632 |
-
},
|
1633 |
-
{
|
1634 |
-
"name": "stdout",
|
1635 |
-
"output_type": "stream",
|
1636 |
-
"text": [
|
1637 |
-
"\r",
|
1638 |
-
"-L6-D2048-E0_1-mem- 20%[===> ] 210.11M 11.0MB/s eta 2m 39s "
|
1639 |
-
]
|
1640 |
-
},
|
1641 |
-
{
|
1642 |
-
"name": "stdout",
|
1643 |
-
"output_type": "stream",
|
1644 |
-
"text": [
|
1645 |
-
"\r",
|
1646 |
-
"L6-D2048-E0_1-mem-c 20%[===> ] 213.29M 11.0MB/s eta 2m 39s "
|
1647 |
-
]
|
1648 |
-
},
|
1649 |
-
{
|
1650 |
-
"name": "stdout",
|
1651 |
-
"output_type": "stream",
|
1652 |
-
"text": [
|
1653 |
-
"\r",
|
1654 |
-
"6-D2048-E0_1-mem-ct 21%[===> ] 216.56M 11.1MB/s eta 2m 39s "
|
1655 |
-
]
|
1656 |
-
},
|
1657 |
-
{
|
1658 |
-
"name": "stdout",
|
1659 |
-
"output_type": "stream",
|
1660 |
-
"text": [
|
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-
"\r",
|
1662 |
-
"-D2048-E0_1-mem-ctx 21%[===> ] 219.92M 11.8MB/s eta 2m 39s "
|
1663 |
-
]
|
1664 |
-
},
|
1665 |
-
{
|
1666 |
-
"name": "stdout",
|
1667 |
-
"output_type": "stream",
|
1668 |
-
"text": [
|
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"\r",
|
1670 |
-
"D2048-E0_1-mem-ctx- 21%[===> ] 222.69M 11.6MB/s eta 2m 29s "
|
1671 |
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]
|
1672 |
-
},
|
1673 |
-
{
|
1674 |
-
"name": "stdout",
|
1675 |
-
"output_type": "stream",
|
1676 |
-
"text": [
|
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"\r",
|
1678 |
-
"2048-E0_1-mem-ctx-5 22%[===> ] 226.00M 11.6MB/s eta 2m 29s "
|
1679 |
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]
|
1680 |
-
},
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1681 |
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{
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1682 |
-
"name": "stdout",
|
1683 |
-
"output_type": "stream",
|
1684 |
-
"text": [
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"\r",
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1686 |
-
"048-E0_1-mem-ctx-51 22%[===> ] 229.44M 12.3MB/s eta 2m 29s "
|
1687 |
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]
|
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},
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{
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"name": "stdout",
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1691 |
-
"output_type": "stream",
|
1692 |
-
"text": [
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"\r",
|
1694 |
-
"48-E0_1-mem-ctx-512 22%[===> ] 232.97M 12.3MB/s eta 2m 29s "
|
1695 |
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]
|
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},
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1697 |
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{
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"name": "stdout",
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1699 |
-
"output_type": "stream",
|
1700 |
-
"text": [
|
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"\r",
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1702 |
-
"8-E0_1-mem-ctx-512. 23%[===> ] 236.69M 12.3MB/s eta 2m 29s "
|
1703 |
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]
|
1704 |
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},
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1705 |
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{
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1707 |
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"output_type": "stream",
|
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"text": [
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"\r",
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"-E0_1-mem-ctx-512.p 23%[===> ] 240.34M 13.0MB/s eta 2m 19s "
|
1711 |
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]
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1712 |
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},
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"name": "stdout",
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1715 |
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"output_type": "stream",
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"text": [
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"\r",
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"E0_1-mem-ctx-512.pt 23%[===> ] 244.11M 13.0MB/s eta 2m 19s "
|
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]
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},
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1723 |
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"output_type": "stream",
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"text": [
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"\r",
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"0_1-mem-ctx-512.pth 24%[===> ] 247.87M 13.1MB/s eta 2m 19s "
|
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]
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},
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"name": "stdout",
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1731 |
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"output_type": "stream",
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"text": [
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"_1-mem-ctx-512.pth 24%[===> ] 251.87M 13.7MB/s eta 2m 19s "
|
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]
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1739 |
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"output_type": "stream",
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"text": [
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"\r",
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"1-mem-ctx-512.pth 25%[====> ] 255.64M 13.7MB/s eta 2m 19s "
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"name": "stdout",
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1747 |
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"output_type": "stream",
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"text": [
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"\r",
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"-mem-ctx-512.pth 25%[====> ] 259.62M 13.7MB/s eta 2m 9s "
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"name": "stdout",
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1755 |
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"output_type": "stream",
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"text": [
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"\r",
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"mem-ctx-512.pth 25%[====> ] 263.37M 14.3MB/s eta 2m 9s "
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"name": "stdout",
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1763 |
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"output_type": "stream",
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"text": [
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"\r",
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"em-ctx-512.pth 26%[====> ] 267.14M 14.2MB/s eta 2m 9s "
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"name": "stdout",
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1771 |
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"output_type": "stream",
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"text": [
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"\r",
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"m-ctx-512.pth 26%[====> ] 271.37M 14.3MB/s eta 2m 9s "
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"output_type": "stream",
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"-ctx-512.pth 27%[====> ] 275.03M 14.2MB/s eta 2m 2s "
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"output_type": "stream",
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"ctx-512.pth 27%[====> ] 279.12M 14.4MB/s eta 2m 2s "
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"output_type": "stream",
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"tx-512.pth 27%[====> ] 282.20M 14.4MB/s eta 2m 2s "
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1803 |
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"output_type": "stream",
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"x-512.pth 28%[====> ] 285.34M 14.4MB/s eta 2m 2s "
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"name": "stdout",
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1811 |
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"output_type": "stream",
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"-512.pth 28%[====> ] 288.56M 14.4MB/s eta 2m 2s "
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"output_type": "stream",
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"512.pth 28%[====> ] 291.84M 14.4MB/s eta 1m 56s "
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{
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"name": "stdout",
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1827 |
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"output_type": "stream",
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"12.pth 29%[====> ] 295.17M 14.5MB/s eta 1m 56s "
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{
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"name": "stdout",
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1835 |
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"output_type": "stream",
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"text": [
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"2.pth 29%[====> ] 297.29M 14.0MB/s eta 1m 56s "
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{
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1842 |
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"name": "stdout",
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1843 |
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"output_type": "stream",
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"text": [
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"\r",
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".pth 29%[====> ] 301.00M 14.1MB/s eta 1m 56s "
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{
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1850 |
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"name": "stdout",
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1851 |
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"output_type": "stream",
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"text": [
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"\r",
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1854 |
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"pth 29%[====> ] 303.42M 14.0MB/s eta 1m 52s "
|
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]
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},
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1857 |
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{
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1858 |
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"name": "stdout",
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1859 |
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"output_type": "stream",
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"text": [
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"\r",
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1862 |
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"th 29%[====> ] 303.50M 13.4MB/s eta 1m 52s "
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]
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},
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{
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1866 |
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"name": "stdout",
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1867 |
-
"output_type": "stream",
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"text": [
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"\r",
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1870 |
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"h 30%[=====> ] 305.98M 13.1MB/s eta 1m 52s "
|
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]
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},
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{
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1874 |
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"name": "stdout",
|
1875 |
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"output_type": "stream",
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"text": [
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"\r",
|
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" 30%[=====> ] 308.53M 12.9MB/s eta 1m 52s "
|
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]
|
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},
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1881 |
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{
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1882 |
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"name": "stdout",
|
1883 |
-
"output_type": "stream",
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"text": [
|
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"\r",
|
1886 |
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" v 30%[=====> ] 311.09M 12.7MB/s eta 1m 52s "
|
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]
|
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},
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{
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1890 |
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"name": "stdout",
|
1891 |
-
"output_type": "stream",
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"text": [
|
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"\r",
|
1894 |
-
" v5 30%[=====> ] 313.67M 12.4MB/s eta 1m 49s "
|
1895 |
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]
|
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},
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{
|
1898 |
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"name": "stdout",
|
1899 |
-
"output_type": "stream",
|
1900 |
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"text": [
|
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"\r",
|
1902 |
-
" v5r 31%[=====> ] 316.28M 12.2MB/s eta 1m 49s "
|
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]
|
1904 |
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},
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{
|
1906 |
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"name": "stdout",
|
1907 |
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"output_type": "stream",
|
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"text": [
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|
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" v5r3 31%[=====> ] 318.94M 11.9MB/s eta 1m 49s "
|
1911 |
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]
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1912 |
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},
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1913 |
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{
|
1914 |
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"name": "stdout",
|
1915 |
-
"output_type": "stream",
|
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"text": [
|
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" v5r3- 31%[=====> ] 321.59M 11.7MB/s eta 1m 49s "
|
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]
|
1920 |
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},
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{
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1922 |
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"name": "stdout",
|
1923 |
-
"output_type": "stream",
|
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-
"text": [
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"\r",
|
1926 |
-
" v5r3-L 31%[=====> ] 324.28M 11.5MB/s eta 1m 49s "
|
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},
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"source": [
|
2235 |
-
"# Download the model directly (stop gap till HF sync issues is resolved)\n",
|
2236 |
-
"!cd \"{TRAINER_DIR}\" && cd \"../model/\" && \\\n",
|
2237 |
-
" wget -nc \"https://huggingface.co/rwkv-x-dev/rwkv-x-playground/resolve/main/experiment/rwkv-x-exp/v5-r3-memory/{DIR_NAME}/{FILENAME_PREFIX}-mem-ctx-512.pth\"\n",
|
2238 |
-
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|
2239 |
-
"!cd \"{TRAINER_DIR}\" && cd \"../model/\" && \\\n",
|
2240 |
-
" ls -alh ."
|
2241 |
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]
|
2242 |
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},
|
2243 |
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{
|
2244 |
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"cell_type": "markdown",
|
2245 |
-
"id": "d02fd021",
|
2246 |
-
"metadata": {
|
2247 |
-
"papermill": {
|
2248 |
-
"duration": null,
|
2249 |
-
"end_time": null,
|
2250 |
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"exception": null,
|
2251 |
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"start_time": null,
|
2252 |
-
"status": "pending"
|
2253 |
-
},
|
2254 |
-
"tags": []
|
2255 |
-
},
|
2256 |
-
"source": [
|
2257 |
-
"## Tune 3 : Ramping up the ctx size (8192), memory training\n",
|
2258 |
-
"\n",
|
2259 |
-
"- Tune 3: Large ctx size (8192), Scaling up!"
|
2260 |
-
]
|
2261 |
-
},
|
2262 |
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{
|
2263 |
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"cell_type": "code",
|
2264 |
-
"execution_count": null,
|
2265 |
-
"id": "535fef69",
|
2266 |
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"metadata": {
|
2267 |
-
"papermill": {
|
2268 |
-
"duration": null,
|
2269 |
-
"end_time": null,
|
2270 |
-
"exception": null,
|
2271 |
-
"start_time": null,
|
2272 |
-
"status": "pending"
|
2273 |
-
},
|
2274 |
-
"tags": []
|
2275 |
-
},
|
2276 |
-
"outputs": [],
|
2277 |
-
"source": [
|
2278 |
-
"%%script bash\n",
|
2279 |
-
"\n",
|
2280 |
-
"########################################\n",
|
2281 |
-
"# Generate the required jsonl dataset\n",
|
2282 |
-
"########################################\n",
|
2283 |
-
"\n",
|
2284 |
-
"# Go to config dir\n",
|
2285 |
-
"cd \"../\"\n",
|
2286 |
-
"\n",
|
2287 |
-
"# Reset the dataset dir\n",
|
2288 |
-
"mkdir -p ../dataset\n",
|
2289 |
-
"rm -rf ../dataset/*.jsonl\n",
|
2290 |
-
"\n",
|
2291 |
-
"# Generate the various datasets\n",
|
2292 |
-
"echo \"## Generating word reptition dataset ##\"\n",
|
2293 |
-
"\n",
|
2294 |
-
"#\n",
|
2295 |
-
"# We reduce the training set for < 50 words - and shift the focus upwards\n",
|
2296 |
-
"# (aka 50-100 token * 2 : ~100 - 250 token ctx len)\n",
|
2297 |
-
"#\n",
|
2298 |
-
"for i in {5..95..5} \n",
|
2299 |
-
"do\n",
|
2300 |
-
" python3 ../memory_script/gen_limited_prompt_completion_jsonl.py ../dataset/gen-word-$i-count.jsonl $i 100 & \n",
|
2301 |
-
" python3 ../memory_script/shuffle_limited_prompt_completion_jsonl.py ../dataset/shuffle-word-$i-count.jsonl $i 10 & \n",
|
2302 |
-
"done\n",
|
2303 |
-
"\n",
|
2304 |
-
"#\n",
|
2305 |
-
"# Ramping up the 100+ - 4200 words dataset\n",
|
2306 |
-
"# \n",
|
2307 |
-
"for i in {100..8000..100} \n",
|
2308 |
-
"do\n",
|
2309 |
-
" python3 ../memory_script/gen_limited_prompt_completion_jsonl.py ../dataset/gen-word-$i-count.jsonl $i 2000 & \n",
|
2310 |
-
" python3 ../memory_script/shuffle_limited_prompt_completion_jsonl.py ../dataset/shuffle-word-$i-count.jsonl $i 20 & \n",
|
2311 |
-
"done\n",
|
2312 |
-
"\n",
|
2313 |
-
"wait\n",
|
2314 |
-
"echo \"## Done ##\"\n",
|
2315 |
-
"\n",
|
2316 |
-
"ls -lh ../dataset/"
|
2317 |
-
]
|
2318 |
-
},
|
2319 |
-
{
|
2320 |
-
"cell_type": "code",
|
2321 |
-
"execution_count": null,
|
2322 |
-
"id": "40beda36",
|
2323 |
-
"metadata": {
|
2324 |
-
"papermill": {
|
2325 |
-
"duration": null,
|
2326 |
-
"end_time": null,
|
2327 |
-
"exception": null,
|
2328 |
-
"start_time": null,
|
2329 |
-
"status": "pending"
|
2330 |
-
},
|
2331 |
-
"tags": []
|
2332 |
-
},
|
2333 |
-
"outputs": [],
|
2334 |
-
"source": [
|
2335 |
-
"# Start the finetune model training\n",
|
2336 |
-
"!cd \"{TRAINER_DIR}\" && \\\n",
|
2337 |
-
" export WANDB_MODE=\"{WANDB_MODE}\" && \\\n",
|
2338 |
-
" python3 lightning_trainer.py fit \\\n",
|
2339 |
-
" -c \"{CONFIG_DIR}/config-mem-template.yaml\" \\\n",
|
2340 |
-
" --trainer.logger.init_args.name=\"{WANDB_PREFIX} - Mem-Tune ctx-8k (train-ctx=4k, {DEEPSPEED_STRAT})\" \\\n",
|
2341 |
-
" --trainer.strategy=\"{DEEPSPEED_STRAT}\" \\\n",
|
2342 |
-
" --trainer.devices=\"{GPU_DEVICES}\" \\\n",
|
2343 |
-
" --trainer.callbacks.init_args.dirpath=\"../checkpoint/{FILENAME_PREFIX}-mem-ctx-8k/\" \\\n",
|
2344 |
-
" --model.lr_init=4e-4 \\\n",
|
2345 |
-
" --model.lr_final=2e-4 \\\n",
|
2346 |
-
" --data.max_token_size=8192 \\\n",
|
2347 |
-
" --data.sort_by_length=True \\\n",
|
2348 |
-
" --model.ctx_len=4096 \\\n",
|
2349 |
-
" --model.bptt_learning_range=2 \\\n",
|
2350 |
-
" --model.load_model=\"../model/{FILENAME_PREFIX}-mem-ctx-512.pth\""
|
2351 |
-
]
|
2352 |
-
},
|
2353 |
-
{
|
2354 |
-
"cell_type": "code",
|
2355 |
-
"execution_count": null,
|
2356 |
-
"id": "19eaf20f",
|
2357 |
-
"metadata": {
|
2358 |
-
"papermill": {
|
2359 |
-
"duration": null,
|
2360 |
-
"end_time": null,
|
2361 |
-
"exception": null,
|
2362 |
-
"start_time": null,
|
2363 |
-
"status": "pending"
|
2364 |
-
},
|
2365 |
-
"tags": []
|
2366 |
-
},
|
2367 |
-
"outputs": [],
|
2368 |
-
"source": [
|
2369 |
-
"# Lets export the model from the checkpoint\n",
|
2370 |
-
"!cd \"{TRAINER_DIR}\" && \\\n",
|
2371 |
-
" python3 export_checkpoint.py \\\n",
|
2372 |
-
" \"../checkpoint/{FILENAME_PREFIX}-mem-ctx-8k/last.ckpt\" \\\n",
|
2373 |
-
" \"../model/{FILENAME_PREFIX}-mem-ctx-8k.pth\" \"bf16\"\n",
|
2374 |
-
"!cd \"{TRAINER_DIR}\" && ls -alh \"../model/{FILENAME_PREFIX}-mem-ctx-8k.pth\""
|
2375 |
-
]
|
2376 |
-
},
|
2377 |
-
{
|
2378 |
-
"cell_type": "code",
|
2379 |
-
"execution_count": null,
|
2380 |
-
"id": "e9be9d4f",
|
2381 |
-
"metadata": {
|
2382 |
-
"papermill": {
|
2383 |
-
"duration": null,
|
2384 |
-
"end_time": null,
|
2385 |
-
"exception": null,
|
2386 |
-
"start_time": null,
|
2387 |
-
"status": "pending"
|
2388 |
-
},
|
2389 |
-
"tags": []
|
2390 |
-
},
|
2391 |
-
"outputs": [],
|
2392 |
-
"source": [
|
2393 |
-
"# Lets do a quick memory test\n",
|
2394 |
-
"!python3 ../memory_script/eval_v5_memory_guided.py \"{PROJECT_DIR}/model/{FILENAME_PREFIX}-mem-ctx-8k.pth\""
|
2395 |
-
]
|
2396 |
-
},
|
2397 |
-
{
|
2398 |
-
"cell_type": "code",
|
2399 |
-
"execution_count": null,
|
2400 |
-
"id": "1449d8ff",
|
2401 |
-
"metadata": {
|
2402 |
-
"papermill": {
|
2403 |
-
"duration": null,
|
2404 |
-
"end_time": null,
|
2405 |
-
"exception": null,
|
2406 |
-
"start_time": null,
|
2407 |
-
"status": "pending"
|
2408 |
-
},
|
2409 |
-
"tags": []
|
2410 |
-
},
|
2411 |
-
"outputs": [],
|
2412 |
-
"source": [
|
2413 |
-
"!python3 ../memory_script/eval_v5_memory_guided.py \"{PROJECT_DIR}/model/{FILENAME_PREFIX}-mem-ctx-8k.pth\" \"none\" 1000 4000"
|
2414 |
-
]
|
2415 |
-
}
|
2416 |
-
],
|
2417 |
-
"metadata": {
|
2418 |
-
"kernelspec": {
|
2419 |
-
"display_name": "python3 3 (ipykernel)",
|
2420 |
-
"language": "python",
|
2421 |
-
"name": "python3"
|
2422 |
-
},
|
2423 |
-
"language_info": {
|
2424 |
-
"codemirror_mode": {
|
2425 |
-
"name": "ipython",
|
2426 |
-
"version": 3
|
2427 |
-
},
|
2428 |
-
"file_extension": ".py",
|
2429 |
-
"mimetype": "text/x-python",
|
2430 |
-
"name": "python",
|
2431 |
-
"nbconvert_exporter": "python",
|
2432 |
-
"pygments_lexer": "ipython3",
|
2433 |
-
"version": "3.11.4"
|
2434 |
-
},
|
2435 |
-
"papermill": {
|
2436 |
-
"default_parameters": {},
|
2437 |
-
"duration": null,
|
2438 |
-
"end_time": null,
|
2439 |
-
"environment_variables": {},
|
2440 |
-
"exception": null,
|
2441 |
-
"input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage3.ipynb",
|
2442 |
-
"output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/experiment/rwkv-x-exp/v5-r3-memory/L6-D2048-E1e-1-ctx4k/stage3.ipynb",
|
2443 |
-
"parameters": {},
|
2444 |
-
"start_time": "2023-09-14T04:09:41.695596",
|
2445 |
-
"version": "2.4.0"
|
2446 |
-
}
|
2447 |
-
},
|
2448 |
-
"nbformat": 4,
|
2449 |
-
"nbformat_minor": 5
|
2450 |
-
}
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b01a0b009aa135d08ecf6442863da28f6a1854d6c1c4158ff255380ad9452944
|
3 |
+
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