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{
"cells": [
{
"cell_type": "markdown",
"id": "935eee73",
"metadata": {
"papermill": {
"duration": 0.002228,
"end_time": "2023-09-03T20:06:45.853194",
"exception": false,
"start_time": "2023-09-03T20:06:45.850966",
"status": "completed"
},
"tags": []
},
"source": [
"## Custom Experimental Memory benchmarking\n",
"\n",
"The following is meant to observe the memory performance in a more verbose CSV logging mode, for the baseline raven models"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b3e65aae",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:06:45.858732Z",
"iopub.status.busy": "2023-09-03T20:06:45.858219Z",
"iopub.status.idle": "2023-09-03T20:07:31.745793Z",
"shell.execute_reply": "2023-09-03T20:07:31.744962Z"
},
"papermill": {
"duration": 45.892824,
"end_time": "2023-09-03T20:07:31.748027",
"exception": false,
"start_time": "2023-09-03T20:06:45.855203",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2023-09-03 20:06:46-- https://huggingface.co/rwkv-x-dev/rwkv-x-playground/resolve/main/experiment/rwkv-x-exp/v5-memory/v5-L96-D1024-E0_1-mem-ctx-8k.pth\r\n",
"Resolving huggingface.co (huggingface.co)... 18.154.227.87, 18.154.227.67, 18.154.227.7, ...\r\n",
"Connecting to huggingface.co (huggingface.co)|18.154.227.87|:443... connected.\r\n",
"HTTP request sent, awaiting response... 302 Found\r\n",
"Location: https://cdn-lfs.huggingface.co/repos/2e/f7/2ef78555202aa92abdbdf476ce3d0fd5a8b15f7245edf0b80d4d30572355f30d/0d042262601b79b1635bdd82e73c9f26fb35b05d8cded92a03aad5df56944dde?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5-L96-D1024-E0_1-mem-ctx-8k.pth%3B+filename%3D%22v5-L96-D1024-E0_1-mem-ctx-8k.pth%22%3B&Expires=1694030806&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5NDAzMDgwNn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy8yZS9mNy8yZWY3ODU1NTIwMmFhOTJhYmRiZGY0NzZjZTNkMGZkNWE4YjE1ZjcyNDVlZGYwYjgwZDRkMzA1NzIzNTVmMzBkLzBkMDQyMjYyNjAxYjc5YjE2MzViZGQ4MmU3M2M5ZjI2ZmIzNWIwNWQ4Y2RlZDkyYTAzYWFkNWRmNTY5NDRkZGU%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=SDWEHufhsERLxOVC62L657VMlF9FQvyFnUfrwnY-g7h9EM07TNLrNgAr8AtlmzcnXA97w-JgfLHTabd9DcGDpfyB9veIW3e1AmVPaP5MooaFI9Unw%7EUxSgmQ25ZKgoikqx4THDNtjGMtkk6%7EsP6W4zM2x1nhZhxcku%7EGOCF3f66kE%7E8v4MqNkc0azV8yIotP3Vs5nSilEl-9I7n9d9JZtkykMCMLfSQz4auu1hQ5N6qrcZsS3X0aMVNmIZOmR2MEJ2t9dpKeZQA1KhNKIt1vdOaiWHeK4inCh3p24wBHHzYCaBVHLwto2nfSnET8SBkeh2ODRG%7EAVr-SNvA9mez%7E3w__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
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},
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},
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"\r",
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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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"\r",
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]
},
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"name": "stdout",
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"\r",
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"name": "stdout",
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"\r",
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]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-E0_1-mem-ctx-8k.pt 68%[============> ] 1.80G 61.0MB/s eta 14s "
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"E0_1-mem-ctx-8k.pth 68%[============> ] 1.81G 62.0MB/s eta 14s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"0_1-mem-ctx-8k.pth 69%[============> ] 1.82G 61.4MB/s eta 14s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"_1-mem-ctx-8k.pth 69%[============> ] 1.83G 60.9MB/s eta 14s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"1-mem-ctx-8k.pth 70%[=============> ] 1.85G 60.6MB/s eta 13s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-mem-ctx-8k.pth 70%[=============> ] 1.86G 61.8MB/s eta 13s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"mem-ctx-8k.pth 70%[=============> ] 1.86G 57.3MB/s eta 13s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"em-ctx-8k.pth 71%[=============> ] 1.88G 59.0MB/s eta 13s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"m-ctx-8k.pth 71%[=============> ] 1.89G 57.4MB/s eta 13s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-ctx-8k.pth 72%[=============> ] 1.91G 56.1MB/s eta 12s "
]
},
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"name": "stdout",
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"\r",
"ctx-8k.pth 72%[=============> ] 1.92G 57.0MB/s eta 12s "
]
},
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"name": "stdout",
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"\r",
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]
},
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"name": "stdout",
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"text": [
"\r",
"x-8k.pth 74%[=============> ] 1.95G 57.5MB/s eta 12s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-8k.pth 74%[=============> ] 1.97G 56.4MB/s eta 12s "
]
},
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"name": "stdout",
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"text": [
"\r",
"8k.pth 75%[==============> ] 1.98G 56.0MB/s eta 11s "
]
},
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"name": "stdout",
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"text": [
"\r",
"k.pth 75%[==============> ] 2.00G 56.1MB/s eta 11s "
]
},
{
"name": "stdout",
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"text": [
"\r",
".pth 76%[==============> ] 2.01G 57.9MB/s eta 11s "
]
},
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"name": "stdout",
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"text": [
"\r",
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]
},
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"text": [
"\r",
"th 77%[==============> ] 2.03G 54.3MB/s eta 10s "
]
},
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"name": "stdout",
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"\r",
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]
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{
"name": "stdout",
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"\r",
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]
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{
"name": "stdout",
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"text": [
"\r",
" v 78%[==============> ] 2.07G 53.0MB/s eta 10s "
]
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{
"name": "stdout",
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"text": [
"\r",
" v5 79%[==============> ] 2.09G 55.6MB/s eta 10s "
]
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{
"name": "stdout",
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"text": [
"\r",
" v5- 79%[==============> ] 2.10G 58.3MB/s eta 9s "
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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",
" v5-L96 81%[===============> ] 2.15G 58.8MB/s eta 9s "
]
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{
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"output_type": "stream",
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"\r",
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"\r",
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"name": "stdout",
"output_type": "stream",
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"\r",
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]
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{
"name": "stdout",
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"\r",
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"name": "stdout",
"output_type": "stream",
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"\r",
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024- 85%[================> ] 2.24G 59.5MB/s eta 7s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024-E 85%[================> ] 2.26G 61.4MB/s eta 7s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024-E0 86%[================> ] 2.26G 60.3MB/s eta 7s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024-E0_ 86%[================> ] 2.29G 62.5MB/s eta 7s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024-E0_1 87%[================> ] 2.31G 63.7MB/s eta 5s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" v5-L96-D1024-E0_1- 88%[================> ] 2.32G 63.8MB/s eta 5s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"v5-L96-D1024-E0_1-m 88%[================> ] 2.34G 64.3MB/s eta 5s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"5-L96-D1024-E0_1-me 89%[================> ] 2.35G 59.2MB/s eta 5s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-L96-D1024-E0_1-mem 90%[=================> ] 2.37G 61.7MB/s eta 5s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"L96-D1024-E0_1-mem- 90%[=================> ] 2.38G 61.9MB/s eta 4s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"96-D1024-E0_1-mem-c 91%[=================> ] 2.40G 63.2MB/s eta 4s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"6-D1024-E0_1-mem-ct 91%[=================> ] 2.41G 64.0MB/s eta 4s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-D1024-E0_1-mem-ctx 91%[=================> ] 2.42G 60.8MB/s eta 4s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"D1024-E0_1-mem-ctx- 92%[=================> ] 2.43G 60.4MB/s eta 3s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"1024-E0_1-mem-ctx-8 92%[=================> ] 2.44G 59.7MB/s eta 3s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"024-E0_1-mem-ctx-8k 93%[=================> ] 2.46G 58.9MB/s eta 3s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"24-E0_1-mem-ctx-8k. 93%[=================> ] 2.47G 57.9MB/s eta 3s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"4-E0_1-mem-ctx-8k.p 94%[=================> ] 2.48G 55.6MB/s eta 3s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-E0_1-mem-ctx-8k.pt 94%[=================> ] 2.49G 55.6MB/s eta 2s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"E0_1-mem-ctx-8k.pth 95%[==================> ] 2.50G 54.6MB/s eta 2s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"0_1-mem-ctx-8k.pth 95%[==================> ] 2.52G 53.4MB/s eta 2s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"_1-mem-ctx-8k.pth 96%[==================> ] 2.53G 51.0MB/s eta 2s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"1-mem-ctx-8k.pth 96%[==================> ] 2.55G 53.4MB/s eta 2s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"-mem-ctx-8k.pth 97%[==================> ] 2.56G 54.0MB/s eta 1s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"mem-ctx-8k.pth 97%[==================> ] 2.58G 54.1MB/s eta 1s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"em-ctx-8k.pth 98%[==================> ] 2.59G 55.6MB/s eta 1s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"m-ctx-8k.pth 99%[==================> ] 2.62G 58.9MB/s eta 1s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"v5-L96-D1024-E0_1-m 100%[===================>] 2.63G 58.3MB/s in 45s \r\n",
"\r\n",
"2023-09-03 20:07:31 (59.8 MB/s) - ‘v5-L96-D1024-E0_1-mem-ctx-8k.pth’ saved [2825976699/2825976699]\r\n",
"\r\n"
]
}
],
"source": [
"# Lets download the custom models\n",
"!mkdir -p ../../../model/\n",
"!cd ../../../model/ && wget -nc \"https://huggingface.co/rwkv-x-dev/rwkv-x-playground/resolve/main/experiment/rwkv-x-exp/v5-memory/v5-L96-D1024-E0_1-mem-ctx-8k.pth\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f464907a",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:07:31.774310Z",
"iopub.status.busy": "2023-09-03T20:07:31.773743Z",
"iopub.status.idle": "2023-09-03T20:07:32.029470Z",
"shell.execute_reply": "2023-09-03T20:07:32.028523Z"
},
"papermill": {
"duration": 0.27144,
"end_time": "2023-09-03T20:07:32.031600",
"exception": false,
"start_time": "2023-09-03T20:07:31.760160",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total 2.7G\r\n",
"-rw-r--r-- 1 root root 2.7G Sep 3 06:19 v5-L96-D1024-E0_1-mem-ctx-8k.pth\r\n"
]
}
],
"source": [
"!ls -lh ../../../model/"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "aacf07e4",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:07:32.058135Z",
"iopub.status.busy": "2023-09-03T20:07:32.057224Z",
"iopub.status.idle": "2023-09-03T20:07:32.309265Z",
"shell.execute_reply": "2023-09-03T20:07:32.308436Z"
},
"papermill": {
"duration": 0.267871,
"end_time": "2023-09-03T20:07:32.311441",
"exception": false,
"start_time": "2023-09-03T20:07:32.043570",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/usr/bin/sh: 1: python: not found\r\n"
]
}
],
"source": [
"!python -m pip install aiocsv aiofiles"
]
},
{
"cell_type": "markdown",
"id": "9252473f",
"metadata": {
"papermill": {
"duration": 0.011632,
"end_time": "2023-09-03T20:07:32.334991",
"exception": false,
"start_time": "2023-09-03T20:07:32.323359",
"status": "completed"
},
"tags": []
},
"source": [
"# 1B5 V5 benchmark"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "deffae97",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:07:32.361241Z",
"iopub.status.busy": "2023-09-03T20:07:32.360502Z",
"iopub.status.idle": "2023-09-03T20:09:22.587085Z",
"shell.execute_reply": "2023-09-03T20:09:22.585615Z"
},
"papermill": {
"duration": 110.242708,
"end_time": "2023-09-03T20:09:22.589584",
"exception": false,
"start_time": "2023-09-03T20:07:32.346876",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2023-09-03 20:07:36,900] [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"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation start ###\r\n",
"###\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5 tokens : 100.0% similarity, with 5 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10 tokens : 100.0% similarity, with 10 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15 tokens : 100.0% similarity, with 15 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 20 tokens : 100.0% similarity, with 20 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 25 tokens : 100.0% similarity, with 25 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 30 tokens : 100.0% similarity, with 30 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 35 tokens : 100.0% similarity, with 35 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 40 tokens : 100.0% similarity, with 40 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 45 tokens : 100.0% similarity, with 45 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 50 tokens : 100.0% similarity, with 50 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 55 tokens : 100.0% similarity, with 55 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 60 tokens : 100.0% similarity, with 60 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 65 tokens : 100.0% similarity, with 65 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 70 tokens : 100.0% similarity, with 70 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 75 tokens : 100.0% similarity, with 75 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 80 tokens : 100.0% similarity, with 80 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 85 tokens : 100.0% similarity, with 85 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 90 tokens : 100.0% similarity, with 90 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 95 tokens : 100.0% similarity, with 95 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 100 tokens : 100.0% similarity, with 100 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 105 tokens : 100.0% similarity, with 105 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 110 tokens : 100.0% similarity, with 110 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 115 tokens : 100.0% similarity, with 115 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 120 tokens : 100.0% similarity, with 120 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 125 tokens : 100.0% similarity, with 125 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 130 tokens : 100.0% similarity, with 130 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 135 tokens : 100.0% similarity, with 135 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 140 tokens : 100.0% similarity, with 140 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 145 tokens : 100.0% similarity, with 145 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 150 tokens : 100.0% similarity, with 150 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 160 tokens : 100.0% similarity, with 160 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 170 tokens : 100.0% similarity, with 170 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 180 tokens : 100.0% similarity, with 180 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 190 tokens : 100.0% similarity, with 190 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 200 tokens : 99.5% similarity, with 199 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 210 tokens : 99.52380952380952% similarity, with 209 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 220 tokens : 99.54545454545455% similarity, with 219 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 230 tokens : 100.0% similarity, with 230 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 240 tokens : 100.0% similarity, with 240 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 250 tokens : 99.6% similarity, with 249 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 260 tokens : 99.61538461538461% similarity, with 259 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 270 tokens : 99.62962962962963% similarity, with 269 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 280 tokens : 100.0% similarity, with 280 matched token, and 0 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 290 tokens : 99.6551724137931% similarity, with 289 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 300 tokens : 99.66666666666667% similarity, with 299 matched token, and 1 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 325 tokens : 98.76923076923076% similarity, with 321 matched token, and 4 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 350 tokens : 98.85714285714286% similarity, with 346 matched token, and 4 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 375 tokens : 98.66666666666667% similarity, with 370 matched token, and 5 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 400 tokens : 98.75% similarity, with 395 matched token, and 5 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 425 tokens : 98.82352941176471% similarity, with 420 matched token, and 5 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 450 tokens : 98.88888888888889% similarity, with 445 matched token, and 5 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 475 tokens : 98.52631578947368% similarity, with 468 matched token, and 7 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 500 tokens : 97.8% similarity, with 489 matched token, and 11 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 525 tokens : 97.90476190476191% similarity, with 514 matched token, and 11 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 550 tokens : 97.81818181818181% similarity, with 538 matched token, and 12 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 575 tokens : 97.3913043478261% similarity, with 560 matched token, and 15 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 600 tokens : 97.33333333333334% similarity, with 584 matched token, and 16 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 625 tokens : 97.6% similarity, with 610 matched token, and 15 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 650 tokens : 97.23076923076923% similarity, with 632 matched token, and 18 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 675 tokens : 97.48148148148148% similarity, with 658 matched token, and 17 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 700 tokens : 97.42857142857143% similarity, with 682 matched token, and 18 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 750 tokens : 97.73333333333333% similarity, with 733 matched token, and 17 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 800 tokens : 97.5% similarity, with 780 matched token, and 20 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 850 tokens : 97.29411764705883% similarity, with 827 matched token, and 23 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 900 tokens : 97.55555555555556% similarity, with 878 matched token, and 22 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 950 tokens : 97.36842105263158% similarity, with 925 matched token, and 25 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1000 tokens : 97.5% similarity, with 975 matched token, and 25 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Finished baseline model to eval output predictive matching (aka 0 memory?), for 1000 tokens\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation end ###\r\n",
"###\r\n"
]
}
],
"source": [
"!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L96-D1024-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L96-D1024-E0_1-mem-ctx-8k-1k.csv\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3e0fa465",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:09:22.623563Z",
"iopub.status.busy": "2023-09-03T20:09:22.622346Z",
"iopub.status.idle": "2023-09-03T20:15:28.464149Z",
"shell.execute_reply": "2023-09-03T20:15:28.462982Z"
},
"papermill": {
"duration": 365.861939,
"end_time": "2023-09-03T20:15:28.466647",
"exception": false,
"start_time": "2023-09-03T20:09:22.604708",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2023-09-03 20:09:27,210] [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"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation start ###\r\n",
"###\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1100 tokens : 97.0% similarity, with 1067 matched token, and 33 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1150 tokens : 97.21739130434783% similarity, with 1118 matched token, and 32 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1200 tokens : 97.25% similarity, with 1167 matched token, and 33 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1250 tokens : 97.04% similarity, with 1213 matched token, and 37 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1300 tokens : 96.76923076923077% similarity, with 1258 matched token, and 42 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1350 tokens : 96.22222222222221% similarity, with 1299 matched token, and 51 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1400 tokens : 96.14285714285714% similarity, with 1346 matched token, and 54 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1450 tokens : 96.13793103448276% similarity, with 1394 matched token, and 56 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1500 tokens : 95.53333333333333% similarity, with 1433 matched token, and 67 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1550 tokens : 95.22580645161291% similarity, with 1476 matched token, and 74 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1600 tokens : 95.1875% similarity, with 1523 matched token, and 77 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1650 tokens : 94.48484848484848% similarity, with 1559 matched token, and 91 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1700 tokens : 93.94117647058823% similarity, with 1597 matched token, and 103 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1750 tokens : 93.54285714285714% similarity, with 1637 matched token, and 113 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1800 tokens : 92.77777777777779% similarity, with 1670 matched token, and 130 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1850 tokens : 92.10810810810811% similarity, with 1704 matched token, and 146 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1900 tokens : 91.3157894736842% similarity, with 1735 matched token, and 165 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 1950 tokens : 90.71794871794872% similarity, with 1769 matched token, and 181 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2000 tokens : 89.4% similarity, with 1788 matched token, and 212 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2050 tokens : 86.63414634146342% similarity, with 1776 matched token, and 274 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2100 tokens : 84.80952380952381% similarity, with 1781 matched token, and 319 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2150 tokens : 83.16279069767441% similarity, with 1788 matched token, and 362 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2200 tokens : 80.77272727272728% similarity, with 1777 matched token, and 423 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2250 tokens : 78.26666666666667% similarity, with 1761 matched token, and 489 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2300 tokens : 75.8695652173913% similarity, with 1745 matched token, and 555 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2350 tokens : 74.34042553191489% similarity, with 1747 matched token, and 603 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2400 tokens : 72.29166666666667% similarity, with 1735 matched token, and 665 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2450 tokens : 70.61224489795919% similarity, with 1730 matched token, and 720 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2500 tokens : 68.84% similarity, with 1721 matched token, and 779 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2550 tokens : 66.94117647058823% similarity, with 1707 matched token, and 843 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2600 tokens : 65.1923076923077% similarity, with 1695 matched token, and 905 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2650 tokens : 63.77358490566037% similarity, with 1690 matched token, and 960 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2700 tokens : 62.11111111111111% similarity, with 1677 matched token, and 1023 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2750 tokens : 60.54545454545455% similarity, with 1665 matched token, and 1085 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2800 tokens : 58.92857142857143% similarity, with 1650 matched token, and 1150 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2850 tokens : 57.78947368421052% similarity, with 1647 matched token, and 1203 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2900 tokens : 56.55172413793104% similarity, with 1640 matched token, and 1260 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 2950 tokens : 55.1864406779661% similarity, with 1628 matched token, and 1322 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3000 tokens : 53.833333333333336% similarity, with 1615 matched token, and 1385 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3050 tokens : 52.49180327868852% similarity, with 1601 matched token, and 1449 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3100 tokens : 51.41935483870967% similarity, with 1594 matched token, and 1506 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3150 tokens : 50.06349206349206% similarity, with 1577 matched token, and 1573 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3200 tokens : 48.6875% similarity, with 1558 matched token, and 1642 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3250 tokens : 47.63076923076923% similarity, with 1548 matched token, and 1702 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3300 tokens : 46.484848484848484% similarity, with 1534 matched token, and 1766 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3350 tokens : 44.80597014925373% similarity, with 1501 matched token, and 1849 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3400 tokens : 43.29411764705882% similarity, with 1472 matched token, and 1928 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3450 tokens : 42.08695652173913% similarity, with 1452 matched token, and 1998 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3500 tokens : 40.74285714285714% similarity, with 1426 matched token, and 2074 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3550 tokens : 39.38028169014085% similarity, with 1398 matched token, and 2152 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3600 tokens : 37.94444444444444% similarity, with 1366 matched token, and 2234 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3650 tokens : 36.65753424657534% similarity, with 1338 matched token, and 2312 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3700 tokens : 35.43243243243243% similarity, with 1311 matched token, and 2389 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3750 tokens : 34.026666666666664% similarity, with 1276 matched token, and 2474 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3800 tokens : 33.1578947368421% similarity, with 1260 matched token, and 2540 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3850 tokens : 31.896103896103895% similarity, with 1228 matched token, and 2622 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3900 tokens : 30.538461538461537% similarity, with 1191 matched token, and 2709 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 3950 tokens : 29.443037974683545% similarity, with 1163 matched token, and 2787 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4000 tokens : 28.225% similarity, with 1129 matched token, and 2871 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation end ###\r\n",
"###\r\n"
]
}
],
"source": [
"!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L96-D1024-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L96-D1024-E0_1-mem-ctx-8k-4k.csv\" 1100 4000"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5fed7d73",
"metadata": {
"execution": {
"iopub.execute_input": "2023-09-03T20:15:28.510591Z",
"iopub.status.busy": "2023-09-03T20:15:28.509945Z",
"iopub.status.idle": "2023-09-03T21:26:44.273967Z",
"shell.execute_reply": "2023-09-03T21:26:44.272895Z"
},
"papermill": {
"duration": 4275.788679,
"end_time": "2023-09-03T21:26:44.276323",
"exception": false,
"start_time": "2023-09-03T20:15:28.487644",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2023-09-03 20:15:33,087] [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"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation start ###\r\n",
"###\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4100 tokens : 25.658536585365855% similarity, with 1052 matched token, and 3048 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4200 tokens : 23.666666666666668% similarity, with 994 matched token, and 3206 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4300 tokens : 21.488372093023255% similarity, with 924 matched token, and 3376 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4400 tokens : 19.318181818181817% similarity, with 850 matched token, and 3550 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4500 tokens : 17.333333333333336% similarity, with 780 matched token, and 3720 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4600 tokens : 15.239130434782608% similarity, with 701 matched token, and 3899 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4700 tokens : 13.553191489361701% similarity, with 637 matched token, and 4063 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4800 tokens : 12.083333333333334% similarity, with 580 matched token, and 4220 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 4900 tokens : 10.061224489795919% similarity, with 493 matched token, and 4407 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5000 tokens : 8.74% similarity, with 437 matched token, and 4563 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5100 tokens : 7.705882352941177% similarity, with 393 matched token, and 4707 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5200 tokens : 6.865384615384615% similarity, with 357 matched token, and 4843 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5300 tokens : 6.0754716981132075% similarity, with 322 matched token, and 4978 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5400 tokens : 5.518518518518518% similarity, with 298 matched token, and 5102 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5500 tokens : 5.109090909090909% similarity, with 281 matched token, and 5219 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5600 tokens : 4.696428571428571% similarity, with 263 matched token, and 5337 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5700 tokens : 4.421052631578947% similarity, with 252 matched token, and 5448 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5800 tokens : 4.206896551724138% similarity, with 244 matched token, and 5556 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 5900 tokens : 4.101694915254237% similarity, with 242 matched token, and 5658 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6000 tokens : 3.75% similarity, with 225 matched token, and 5775 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6100 tokens : 3.6721311475409837% similarity, with 224 matched token, and 5876 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6200 tokens : 3.612903225806452% similarity, with 224 matched token, and 5976 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6300 tokens : 3.5238095238095237% similarity, with 222 matched token, and 6078 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6400 tokens : 3.421875% similarity, with 219 matched token, and 6181 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6500 tokens : 3.3846153846153846% similarity, with 220 matched token, and 6280 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6600 tokens : 3.318181818181818% similarity, with 219 matched token, and 6381 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6700 tokens : 3.2835820895522385% similarity, with 220 matched token, and 6480 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6800 tokens : 3.25% similarity, with 221 matched token, and 6579 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 6900 tokens : 3.27536231884058% similarity, with 226 matched token, and 6674 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7000 tokens : 3.2428571428571433% similarity, with 227 matched token, and 6773 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7100 tokens : 3.1971830985915495% similarity, with 227 matched token, and 6873 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7200 tokens : 3.138888888888889% similarity, with 226 matched token, and 6974 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7300 tokens : 3.1506849315068495% similarity, with 230 matched token, and 7070 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7400 tokens : 3.135135135135135% similarity, with 232 matched token, and 7168 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7500 tokens : 3.1466666666666665% similarity, with 236 matched token, and 7264 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7600 tokens : 3.1315789473684212% similarity, with 238 matched token, and 7362 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7700 tokens : 3.116883116883117% similarity, with 240 matched token, and 7460 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7800 tokens : 3.08974358974359% similarity, with 241 matched token, and 7559 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 7900 tokens : 3.113924050632911% similarity, with 246 matched token, and 7654 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8000 tokens : 3.1125% similarity, with 249 matched token, and 7751 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8100 tokens : 3.148148148148148% similarity, with 255 matched token, and 7845 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8200 tokens : 3.1341463414634148% similarity, with 257 matched token, and 7943 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8300 tokens : 3.132530120481928% similarity, with 260 matched token, and 8040 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8400 tokens : 3.0952380952380953% similarity, with 260 matched token, and 8140 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8500 tokens : 3.0941176470588236% similarity, with 263 matched token, and 8237 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8600 tokens : 3.1046511627906974% similarity, with 267 matched token, and 8333 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8700 tokens : 3.0919540229885056% similarity, with 269 matched token, and 8431 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8800 tokens : 3.0681818181818183% similarity, with 270 matched token, and 8530 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 8900 tokens : 3.0561797752808992% similarity, with 272 matched token, and 8628 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9000 tokens : 3.0666666666666664% similarity, with 276 matched token, and 8724 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9100 tokens : 3.087912087912088% similarity, with 281 matched token, and 8819 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9200 tokens : 3.0652173913043477% similarity, with 282 matched token, and 8918 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9300 tokens : 3.043010752688172% similarity, with 283 matched token, and 9017 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9400 tokens : 3.0106382978723407% similarity, with 283 matched token, and 9117 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9500 tokens : 3.0315789473684207% similarity, with 288 matched token, and 9212 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9600 tokens : 3.041666666666667% similarity, with 292 matched token, and 9308 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9700 tokens : 3.0309278350515463% similarity, with 294 matched token, and 9406 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9800 tokens : 3.0204081632653064% similarity, with 296 matched token, and 9504 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 9900 tokens : 3.0707070707070705% similarity, with 304 matched token, and 9596 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10000 tokens : 3.08% similarity, with 308 matched token, and 9692 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10100 tokens : 3.0792079207920793% similarity, with 311 matched token, and 9789 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10200 tokens : 3.0784313725490198% similarity, with 314 matched token, and 9886 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10300 tokens : 3.1067961165048543% similarity, with 320 matched token, and 9980 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10400 tokens : 3.0865384615384612% similarity, with 321 matched token, and 10079 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10500 tokens : 3.0952380952380953% similarity, with 325 matched token, and 10175 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10600 tokens : 3.0849056603773586% similarity, with 327 matched token, and 10273 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10700 tokens : 3.0934579439252334% similarity, with 331 matched token, and 10369 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10800 tokens : 3.0833333333333335% similarity, with 333 matched token, and 10467 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 10900 tokens : 3.0642201834862384% similarity, with 334 matched token, and 10566 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11000 tokens : 3.0636363636363635% similarity, with 337 matched token, and 10663 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11100 tokens : 3.063063063063063% similarity, with 340 matched token, and 10760 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11200 tokens : 3.0535714285714284% similarity, with 342 matched token, and 10858 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11300 tokens : 3.0707964601769913% similarity, with 347 matched token, and 10953 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11400 tokens : 3.1228070175438596% similarity, with 356 matched token, and 11044 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11500 tokens : 3.130434782608696% similarity, with 360 matched token, and 11140 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11600 tokens : 3.1379310344827585% similarity, with 364 matched token, and 11236 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11700 tokens : 3.128205128205128% similarity, with 366 matched token, and 11334 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11800 tokens : 3.1355932203389827% similarity, with 370 matched token, and 11430 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 11900 tokens : 3.1260504201680672% similarity, with 372 matched token, and 11528 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12000 tokens : 3.125% similarity, with 375 matched token, and 11625 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12100 tokens : 3.1404958677685952% similarity, with 380 matched token, and 11720 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12200 tokens : 3.114754098360656% similarity, with 380 matched token, and 11820 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12300 tokens : 3.1300813008130084% similarity, with 385 matched token, and 11915 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12400 tokens : 3.129032258064516% similarity, with 388 matched token, and 12012 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12500 tokens : 3.136% similarity, with 392 matched token, and 12108 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12600 tokens : 3.1428571428571432% similarity, with 396 matched token, and 12204 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12700 tokens : 3.1181102362204722% similarity, with 396 matched token, and 12304 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12800 tokens : 3.1171875% similarity, with 399 matched token, and 12401 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 12900 tokens : 3.1162790697674416% similarity, with 402 matched token, and 12498 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13000 tokens : 3.1307692307692307% similarity, with 407 matched token, and 12593 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13100 tokens : 3.1221374045801524% similarity, with 409 matched token, and 12691 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13200 tokens : 3.128787878787879% similarity, with 413 matched token, and 12787 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13300 tokens : 3.112781954887218% similarity, with 414 matched token, and 12886 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13400 tokens : 3.119402985074627% similarity, with 418 matched token, and 12982 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13500 tokens : 3.096296296296296% similarity, with 418 matched token, and 13082 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13600 tokens : 3.110294117647059% similarity, with 423 matched token, and 13177 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13700 tokens : 3.0875912408759127% similarity, with 423 matched token, and 13277 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13800 tokens : 3.0942028985507246% similarity, with 427 matched token, and 13373 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 13900 tokens : 3.093525179856115% similarity, with 430 matched token, and 13470 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14000 tokens : 3.1214285714285714% similarity, with 437 matched token, and 13563 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14100 tokens : 3.1063829787234045% similarity, with 438 matched token, and 13662 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14200 tokens : 3.091549295774648% similarity, with 439 matched token, and 13761 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14300 tokens : 3.090909090909091% similarity, with 442 matched token, and 13858 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14400 tokens : 3.0902777777777777% similarity, with 445 matched token, and 13955 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14500 tokens : 3.075862068965517% similarity, with 446 matched token, and 14054 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14600 tokens : 3.0684931506849313% similarity, with 448 matched token, and 14152 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14700 tokens : 3.108843537414966% similarity, with 457 matched token, and 14243 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14800 tokens : 3.0945945945945947% similarity, with 458 matched token, and 14342 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 14900 tokens : 3.0939597315436242% similarity, with 461 matched token, and 14439 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15000 tokens : 3.0733333333333333% similarity, with 461 matched token, and 14539 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15100 tokens : 3.066225165562914% similarity, with 463 matched token, and 14637 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15200 tokens : 3.0657894736842106% similarity, with 466 matched token, and 14734 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15300 tokens : 3.0457516339869284% similarity, with 466 matched token, and 14834 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15400 tokens : 3.0454545454545454% similarity, with 469 matched token, and 14931 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15500 tokens : 3.032258064516129% similarity, with 470 matched token, and 15030 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15600 tokens : 3.0448717948717947% similarity, with 475 matched token, and 15125 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15700 tokens : 3.0254777070063694% similarity, with 475 matched token, and 15225 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15800 tokens : 3.0253164556962022% similarity, with 478 matched token, and 15322 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 15900 tokens : 3.0125786163522013% similarity, with 479 matched token, and 15421 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"## Model validation for 16000 tokens : 2.9875% similarity, with 478 matched token, and 15522 token mismatch\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"###\r\n",
"### Model validation end ###\r\n",
"###\r\n"
]
}
],
"source": [
"!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L96-D1024-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L96-D1024-E0_1-mem-ctx-8k-16k.csv\" 4100 16000"
]
}
],
"metadata": {
"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": 4800.015988,
"end_time": "2023-09-03T21:26:44.638790",
"environment_variables": {},
"exception": null,
"input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/Benchmark-V5-L96.ipynb",
"output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/experiment/memory-bench/Benchmark-V5-L96.ipynb",
"parameters": {},
"start_time": "2023-09-03T20:06:44.622802",
"version": "2.4.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
} |