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\"https://huggingface.co/picocreator/memory-size-experiment-for-rwkv/resolve/main/v5-Wave/WaveV5-C-Tune5.pth\"" ] }, { "cell_type": "code", "execution_count": 2, "id": "d3e3e195", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T19:26:16.404924Z", "iopub.status.busy": "2023-08-25T19:26:16.404127Z", "iopub.status.idle": "2023-08-25T19:26:16.659362Z", "shell.execute_reply": "2023-08-25T19:26:16.658324Z" }, "papermill": { "duration": 0.318245, "end_time": "2023-08-25T19:26:16.661842", "exception": false, "start_time": "2023-08-25T19:26:16.343597", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total 12G\r\n", "-rw-r--r-- 1 root root 5.7G Aug 11 12:48 BaseV5-C-Tune5.pth\r\n", "-rw-r--r-- 1 root root 5.7G Aug 11 12:40 WaveV5-C-Tune5.pth\r\n" ] } ], "source": [ "!ls -lh ../../../model/" ] }, { "cell_type": "code", "execution_count": 3, "id": "f6955875", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T19:26:16.777812Z", "iopub.status.busy": "2023-08-25T19:26:16.777260Z", "iopub.status.idle": "2023-08-25T19:26:17.029104Z", "shell.execute_reply": "2023-08-25T19:26:17.028122Z" }, "papermill": { "duration": 0.310932, "end_time": "2023-08-25T19:26:17.031523", "exception": false, "start_time": "2023-08-25T19:26:16.720591", "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": "8979c46b", "metadata": { "papermill": { "duration": 0.054587, "end_time": "2023-08-25T19:26:17.140959", "exception": false, "start_time": "2023-08-25T19:26:17.086372", "status": "completed" }, "tags": [] }, "source": [ "# 1B5 V5 benchmark" ] }, { "cell_type": "code", "execution_count": 4, "id": "46543bef", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T19:26:17.253110Z", "iopub.status.busy": "2023-08-25T19:26:17.252518Z", "iopub.status.idle": "2023-08-25T19:27:31.107409Z", "shell.execute_reply": "2023-08-25T19:27:31.105971Z" }, "papermill": { "duration": 73.914028, "end_time": "2023-08-25T19:27:31.109766", "exception": false, "start_time": "2023-08-25T19:26:17.195738", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 19:26:21,530] [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 : 99.47368421052632% similarity, with 189 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 200 tokens : 100.0% similarity, with 200 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 210 tokens : 100.0% similarity, with 210 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 220 tokens : 100.0% similarity, with 220 matched token, and 0 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 : 100.0% similarity, with 250 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 260 tokens : 100.0% similarity, with 260 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 270 tokens : 100.0% similarity, with 270 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 280 tokens : 99.64285714285714% similarity, with 279 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 290 tokens : 100.0% similarity, with 290 matched token, and 0 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 : 100.0% similarity, with 325 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 350 tokens : 100.0% similarity, with 350 matched token, and 0 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 375 tokens : 99.46666666666667% similarity, with 373 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 400 tokens : 99.75% similarity, with 399 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 425 tokens : 99.76470588235294% similarity, with 424 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 450 tokens : 99.55555555555556% similarity, with 448 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 475 tokens : 99.36842105263159% similarity, with 472 matched token, and 3 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 500 tokens : 99.6% similarity, with 498 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 525 tokens : 99.61904761904762% similarity, with 523 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 550 tokens : 99.27272727272727% similarity, with 546 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 575 tokens : 99.30434782608695% similarity, with 571 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 600 tokens : 99.33333333333333% similarity, with 596 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 625 tokens : 99.03999999999999% similarity, with 619 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 650 tokens : 99.07692307692308% similarity, with 644 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 675 tokens : 99.11111111111111% similarity, with 669 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 700 tokens : 99.0% similarity, with 693 matched token, and 7 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 750 tokens : 99.06666666666666% similarity, with 743 matched token, and 7 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 800 tokens : 99.0% similarity, with 792 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 850 tokens : 99.05882352941177% similarity, with 842 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 900 tokens : 99.0% similarity, with 891 matched token, and 9 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 950 tokens : 99.1578947368421% similarity, with 942 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1000 tokens : 99.2% similarity, with 992 matched token, and 8 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/BaseV5-C-Tune5.pth\" \"./logs/BaseV5-C-Tune5.csv\"" ] }, { "cell_type": "code", "execution_count": 5, "id": "4fbbb3f0", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T19:27:31.224522Z", "iopub.status.busy": "2023-08-25T19:27:31.223937Z", "iopub.status.idle": "2023-08-25T19:32:03.206265Z", "shell.execute_reply": "2023-08-25T19:32:03.205282Z" }, "papermill": { "duration": 272.042779, "end_time": "2023-08-25T19:32:03.208679", "exception": false, "start_time": "2023-08-25T19:27:31.165900", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 19:27:35,452] [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 : 98.63636363636363% similarity, with 1085 matched token, and 15 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1150 tokens : 98.52173913043478% similarity, with 1133 matched token, and 17 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1200 tokens : 98.75% similarity, with 1185 matched token, and 15 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1250 tokens : 98.72% similarity, with 1234 matched token, and 16 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1300 tokens : 98.61538461538461% similarity, with 1282 matched token, and 18 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1350 tokens : 98.44444444444444% similarity, with 1329 matched token, and 21 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1400 tokens : 98.5% similarity, with 1379 matched token, and 21 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1450 tokens : 98.20689655172414% similarity, with 1424 matched token, and 26 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1500 tokens : 97.86666666666667% similarity, with 1468 matched token, and 32 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1550 tokens : 97.67741935483872% similarity, with 1514 matched token, and 36 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1600 tokens : 97.8125% similarity, with 1565 matched token, and 35 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1650 tokens : 97.57575757575758% similarity, with 1610 matched token, and 40 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1700 tokens : 97.6470588235294% similarity, with 1660 matched token, and 40 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1750 tokens : 97.94285714285714% similarity, with 1714 matched token, and 36 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1800 tokens : 97.72222222222223% similarity, with 1759 matched token, and 41 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1850 tokens : 96.86486486486487% similarity, with 1792 matched token, and 58 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1900 tokens : 96.36842105263158% similarity, with 1831 matched token, and 69 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1950 tokens : 95.23076923076923% similarity, with 1857 matched token, and 93 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2000 tokens : 94.75% similarity, with 1895 matched token, and 105 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2050 tokens : 93.26829268292684% similarity, with 1912 matched token, and 138 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2100 tokens : 91.33333333333333% similarity, with 1918 matched token, and 182 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2150 tokens : 90.13953488372093% similarity, with 1938 matched token, and 212 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2200 tokens : 88.81818181818181% similarity, with 1954 matched token, and 246 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2250 tokens : 86.62222222222222% similarity, with 1949 matched token, and 301 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2300 tokens : 84.82608695652173% similarity, with 1951 matched token, and 349 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2350 tokens : 82.08510638297872% similarity, with 1929 matched token, and 421 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2400 tokens : 80.625% similarity, with 1935 matched token, and 465 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2450 tokens : 78.61224489795919% similarity, with 1926 matched token, and 524 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2500 tokens : 77.08% similarity, with 1927 matched token, and 573 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2550 tokens : 75.25490196078431% similarity, with 1919 matched token, and 631 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2600 tokens : 73.88461538461539% similarity, with 1921 matched token, and 679 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2650 tokens : 72.71698113207547% similarity, with 1927 matched token, and 723 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2700 tokens : 71.4074074074074% similarity, with 1928 matched token, and 772 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2750 tokens : 70.10909090909091% similarity, with 1928 matched token, and 822 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2800 tokens : 68.85714285714286% similarity, with 1928 matched token, and 872 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2850 tokens : 67.89473684210526% similarity, with 1935 matched token, and 915 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2900 tokens : 66.6896551724138% similarity, with 1934 matched token, and 966 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2950 tokens : 65.62711864406779% similarity, with 1936 matched token, and 1014 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3000 tokens : 64.4% similarity, with 1932 matched token, and 1068 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3050 tokens : 63.31147540983607% similarity, with 1931 matched token, and 1119 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3100 tokens : 62.096774193548384% similarity, with 1925 matched token, and 1175 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3150 tokens : 61.17460317460317% similarity, with 1927 matched token, and 1223 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3200 tokens : 60.21875% similarity, with 1927 matched token, and 1273 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3250 tokens : 59.199999999999996% similarity, with 1924 matched token, and 1326 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3300 tokens : 58.18181818181818% similarity, with 1920 matched token, and 1380 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3350 tokens : 57.134328358208954% similarity, with 1914 matched token, and 1436 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3400 tokens : 56.294117647058826% similarity, with 1914 matched token, and 1486 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3450 tokens : 55.362318840579704% similarity, with 1910 matched token, and 1540 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3500 tokens : 54.400000000000006% similarity, with 1904 matched token, and 1596 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3550 tokens : 53.54929577464789% similarity, with 1901 matched token, and 1649 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3600 tokens : 52.77777777777778% similarity, with 1900 matched token, and 1700 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3650 tokens : 51.89041095890411% similarity, with 1894 matched token, and 1756 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3700 tokens : 51.054054054054056% similarity, with 1889 matched token, and 1811 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3750 tokens : 50.18666666666667% similarity, with 1882 matched token, and 1868 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3800 tokens : 49.31578947368421% similarity, with 1874 matched token, and 1926 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3850 tokens : 48.51948051948052% similarity, with 1868 matched token, and 1982 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3900 tokens : 47.53846153846154% similarity, with 1854 matched token, and 2046 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3950 tokens : 46.607594936708864% similarity, with 1841 matched token, and 2109 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4000 tokens : 45.574999999999996% similarity, with 1823 matched token, and 2177 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/BaseV5-C-Tune5.pth\" \"./logs/BaseV5-C-Tune5-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 6, "id": "8a9d34a7", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T19:32:03.335116Z", "iopub.status.busy": "2023-08-25T19:32:03.334531Z", "iopub.status.idle": "2023-08-25T20:36:38.284836Z", "shell.execute_reply": "2023-08-25T20:36:38.284040Z" }, "papermill": { "duration": 3875.016854, "end_time": "2023-08-25T20:36:38.287442", "exception": false, "start_time": "2023-08-25T19:32:03.270588", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 19:32:07,910] [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 : 43.97560975609756% similarity, with 1803 matched token, and 2297 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4200 tokens : 42.142857142857146% similarity, with 1770 matched token, and 2430 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4300 tokens : 40.27906976744186% similarity, with 1732 matched token, and 2568 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4400 tokens : 38.27272727272727% similarity, with 1684 matched token, and 2716 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4500 tokens : 35.8% similarity, with 1611 matched token, and 2889 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4600 tokens : 33.71739130434783% similarity, with 1551 matched token, and 3049 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4700 tokens : 31.06382978723404% similarity, with 1460 matched token, and 3240 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4800 tokens : 28.375% similarity, with 1362 matched token, and 3438 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4900 tokens : 25.857142857142858% similarity, with 1267 matched token, and 3633 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5000 tokens : 23.04% similarity, with 1152 matched token, and 3848 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5100 tokens : 20.784313725490197% similarity, with 1060 matched token, and 4040 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5200 tokens : 18.5% similarity, with 962 matched token, and 4238 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5300 tokens : 16.88679245283019% similarity, with 895 matched token, and 4405 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5400 tokens : 15.24074074074074% similarity, with 823 matched token, and 4577 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5500 tokens : 13.436363636363636% similarity, with 739 matched token, and 4761 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5600 tokens : 11.607142857142858% similarity, with 650 matched token, and 4950 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5700 tokens : 10.385964912280702% similarity, with 592 matched token, and 5108 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5800 tokens : 9.327586206896552% similarity, with 541 matched token, and 5259 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5900 tokens : 8.305084745762711% similarity, with 490 matched token, and 5410 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6000 tokens : 7.466666666666668% similarity, with 448 matched token, and 5552 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6100 tokens : 6.672131147540984% similarity, with 407 matched token, and 5693 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6200 tokens : 6.048387096774194% similarity, with 375 matched token, and 5825 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6300 tokens : 5.65079365079365% similarity, with 356 matched token, and 5944 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6400 tokens : 5.328125% similarity, with 341 matched token, and 6059 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6500 tokens : 4.984615384615385% similarity, with 324 matched token, and 6176 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6600 tokens : 4.6818181818181825% similarity, with 309 matched token, and 6291 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6700 tokens : 4.447761194029851% similarity, with 298 matched token, and 6402 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6800 tokens : 4.25% similarity, with 289 matched token, and 6511 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6900 tokens : 4.08695652173913% similarity, with 282 matched token, and 6618 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7000 tokens : 4.0% similarity, with 280 matched token, and 6720 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7100 tokens : 3.943661971830986% similarity, with 280 matched token, and 6820 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7200 tokens : 3.763888888888889% similarity, with 271 matched token, and 6929 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7300 tokens : 3.767123287671233% similarity, with 275 matched token, and 7025 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7400 tokens : 3.689189189189189% similarity, with 273 matched token, and 7127 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7500 tokens : 3.64% similarity, with 273 matched token, and 7227 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7600 tokens : 3.578947368421052% similarity, with 272 matched token, and 7328 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7700 tokens : 3.5844155844155843% similarity, with 276 matched token, and 7424 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7800 tokens : 3.5512820512820515% similarity, with 277 matched token, and 7523 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7900 tokens : 3.468354430379747% similarity, with 274 matched token, and 7626 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8000 tokens : 3.4250000000000003% similarity, with 274 matched token, and 7726 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8100 tokens : 3.419753086419753% similarity, with 277 matched token, and 7823 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8200 tokens : 3.414634146341464% similarity, with 280 matched token, and 7920 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8300 tokens : 3.36144578313253% similarity, with 279 matched token, and 8021 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8400 tokens : 3.3690476190476186% similarity, with 283 matched token, and 8117 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8500 tokens : 3.3411764705882354% similarity, with 284 matched token, and 8216 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8600 tokens : 3.3488372093023258% similarity, with 288 matched token, and 8312 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8700 tokens : 3.3678160919540225% similarity, with 293 matched token, and 8407 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8800 tokens : 3.3295454545454546% similarity, with 293 matched token, and 8507 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8900 tokens : 3.348314606741573% similarity, with 298 matched token, and 8602 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9000 tokens : 3.3333333333333335% similarity, with 300 matched token, and 8700 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9100 tokens : 3.3406593406593412% similarity, with 304 matched token, and 8796 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9200 tokens : 3.3260869565217392% similarity, with 306 matched token, and 8894 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9300 tokens : 3.3010752688172045% similarity, with 307 matched token, and 8993 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9400 tokens : 3.2978723404255317% similarity, with 310 matched token, and 9090 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9500 tokens : 3.3157894736842106% similarity, with 315 matched token, and 9185 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9600 tokens : 3.3229166666666665% similarity, with 319 matched token, and 9281 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9700 tokens : 3.3195876288659796% similarity, with 322 matched token, and 9378 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9800 tokens : 3.316326530612245% similarity, with 325 matched token, and 9475 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9900 tokens : 3.3333333333333335% similarity, with 330 matched token, and 9570 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10000 tokens : 3.37% similarity, with 337 matched token, and 9663 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10100 tokens : 3.3762376237623766% similarity, with 341 matched token, and 9759 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10200 tokens : 3.3725490196078427% similarity, with 344 matched token, and 9856 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10300 tokens : 3.349514563106796% similarity, with 345 matched token, and 9955 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10400 tokens : 3.355769230769231% similarity, with 349 matched token, and 10051 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10500 tokens : 3.371428571428572% similarity, with 354 matched token, and 10146 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10600 tokens : 3.3584905660377355% similarity, with 356 matched token, and 10244 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10700 tokens : 3.392523364485981% similarity, with 363 matched token, and 10337 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10800 tokens : 3.4074074074074074% similarity, with 368 matched token, and 10432 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10900 tokens : 3.3853211009174315% similarity, with 369 matched token, and 10531 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11000 tokens : 3.4000000000000004% similarity, with 374 matched token, and 10626 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11100 tokens : 3.3963963963963963% similarity, with 377 matched token, and 10723 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11200 tokens : 3.3839285714285716% similarity, with 379 matched token, and 10821 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11300 tokens : 3.4070796460176993% similarity, with 385 matched token, and 10915 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11400 tokens : 3.43859649122807% similarity, with 392 matched token, and 11008 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11500 tokens : 3.4434782608695653% similarity, with 396 matched token, and 11104 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11600 tokens : 3.4568965517241383% similarity, with 401 matched token, and 11199 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11700 tokens : 3.4444444444444446% similarity, with 403 matched token, and 11297 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11800 tokens : 3.457627118644068% similarity, with 408 matched token, and 11392 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11900 tokens : 3.46218487394958% similarity, with 412 matched token, and 11488 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12000 tokens : 3.4750000000000005% similarity, with 417 matched token, and 11583 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12100 tokens : 3.487603305785124% similarity, with 422 matched token, and 11678 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12200 tokens : 3.475409836065574% similarity, with 424 matched token, and 11776 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12300 tokens : 3.487804878048781% similarity, with 429 matched token, and 11871 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12400 tokens : 3.491935483870968% similarity, with 433 matched token, and 11967 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12500 tokens : 3.488% similarity, with 436 matched token, and 12064 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12600 tokens : 3.484126984126984% similarity, with 439 matched token, and 12161 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12700 tokens : 3.4881889763779523% similarity, with 443 matched token, and 12257 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12800 tokens : 3.484375% similarity, with 446 matched token, and 12354 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12900 tokens : 3.488372093023256% similarity, with 450 matched token, and 12450 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13000 tokens : 3.5000000000000004% similarity, with 455 matched token, and 12545 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13100 tokens : 3.5038167938931295% similarity, with 459 matched token, and 12641 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13200 tokens : 3.5000000000000004% similarity, with 462 matched token, and 12738 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13300 tokens : 3.488721804511278% similarity, with 464 matched token, and 12836 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13400 tokens : 3.514925373134328% similarity, with 471 matched token, and 12929 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13500 tokens : 3.503703703703704% similarity, with 473 matched token, and 13027 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13600 tokens : 3.514705882352941% similarity, with 478 matched token, and 13122 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13700 tokens : 3.510948905109489% similarity, with 481 matched token, and 13219 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13800 tokens : 3.5144927536231885% similarity, with 485 matched token, and 13315 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13900 tokens : 3.5251798561151078% similarity, with 490 matched token, and 13410 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14000 tokens : 3.55% similarity, with 497 matched token, and 13503 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14100 tokens : 3.546099290780142% similarity, with 500 matched token, and 13600 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14200 tokens : 3.535211267605634% similarity, with 502 matched token, and 13698 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14300 tokens : 3.5454545454545454% similarity, with 507 matched token, and 13793 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14400 tokens : 3.5555555555555554% similarity, with 512 matched token, and 13888 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14500 tokens : 3.537931034482759% similarity, with 513 matched token, and 13987 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14600 tokens : 3.5273972602739727% similarity, with 515 matched token, and 14085 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14700 tokens : 3.5646258503401365% similarity, with 524 matched token, and 14176 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14800 tokens : 3.5472972972972974% similarity, with 525 matched token, and 14275 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14900 tokens : 3.550335570469799% similarity, with 529 matched token, and 14371 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15000 tokens : 3.5533333333333332% similarity, with 533 matched token, and 14467 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15100 tokens : 3.576158940397351% similarity, with 540 matched token, and 14560 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15200 tokens : 3.56578947368421% similarity, with 542 matched token, and 14658 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15300 tokens : 3.5490196078431375% similarity, with 543 matched token, and 14757 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15400 tokens : 3.551948051948052% similarity, with 547 matched token, and 14853 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15500 tokens : 3.5483870967741935% similarity, with 550 matched token, and 14950 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15600 tokens : 3.5448717948717947% similarity, with 553 matched token, and 15047 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15700 tokens : 3.5605095541401273% similarity, with 559 matched token, and 15141 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15800 tokens : 3.5506329113924053% similarity, with 561 matched token, and 15239 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15900 tokens : 3.547169811320755% similarity, with 564 matched token, and 15336 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 16000 tokens : 3.5437499999999997% similarity, with 567 matched token, and 15433 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/BaseV5-C-Tune5.pth\" \"./logs/BaseV5-C-Tune5-16k.csv\" 4100 16000" ] }, { "cell_type": "markdown", "id": "06756247", "metadata": { "papermill": { "duration": 0.070638, "end_time": "2023-08-25T20:36:38.430372", "exception": false, "start_time": "2023-08-25T20:36:38.359734", "status": "completed" }, "tags": [] }, "source": [ "# 1B5 Wavenet V5 benchmark" ] }, { "cell_type": "code", "execution_count": 7, "id": "60cddfaf", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T20:36:38.571218Z", "iopub.status.busy": "2023-08-25T20:36:38.570682Z", "iopub.status.idle": "2023-08-25T20:38:04.854506Z", "shell.execute_reply": "2023-08-25T20:38:04.853703Z" }, "papermill": { "duration": 86.35724, "end_time": "2023-08-25T20:38:04.857066", "exception": false, "start_time": "2023-08-25T20:36:38.499826", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 20:36:43,148] [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 : 97.77777777777777% similarity, with 44 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 50 tokens : 98.0% similarity, with 49 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 55 tokens : 96.36363636363636% similarity, with 53 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 60 tokens : 98.33333333333333% similarity, with 59 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 65 tokens : 98.46153846153847% similarity, with 64 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 70 tokens : 97.14285714285714% similarity, with 68 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 75 tokens : 93.33333333333333% similarity, with 70 matched token, and 5 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 80 tokens : 91.25% similarity, with 73 matched token, and 7 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 85 tokens : 92.94117647058823% similarity, with 79 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 90 tokens : 94.44444444444444% similarity, with 85 matched token, and 5 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 95 tokens : 94.73684210526315% similarity, with 90 matched token, and 5 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 100 tokens : 94.0% similarity, with 94 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 105 tokens : 91.42857142857143% similarity, with 96 matched token, and 9 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 110 tokens : 90.9090909090909% similarity, with 100 matched token, and 10 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 115 tokens : 91.30434782608695% similarity, with 105 matched token, and 10 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 120 tokens : 90.0% similarity, with 108 matched token, and 12 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 125 tokens : 89.60000000000001% similarity, with 112 matched token, and 13 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 130 tokens : 87.6923076923077% similarity, with 114 matched token, and 16 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 135 tokens : 85.92592592592592% similarity, with 116 matched token, and 19 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 140 tokens : 84.28571428571429% similarity, with 118 matched token, and 22 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 145 tokens : 84.82758620689656% similarity, with 123 matched token, and 22 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 150 tokens : 86.66666666666667% similarity, with 130 matched token, and 20 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 160 tokens : 85.0% similarity, with 136 matched token, and 24 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 170 tokens : 84.70588235294117% similarity, with 144 matched token, and 26 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 180 tokens : 83.33333333333334% similarity, with 150 matched token, and 30 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 190 tokens : 81.57894736842105% similarity, with 155 matched token, and 35 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 200 tokens : 80.5% similarity, with 161 matched token, and 39 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 210 tokens : 78.0952380952381% similarity, with 164 matched token, and 46 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 220 tokens : 76.81818181818181% similarity, with 169 matched token, and 51 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 230 tokens : 73.91304347826086% similarity, with 170 matched token, and 60 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 240 tokens : 74.58333333333333% similarity, with 179 matched token, and 61 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 250 tokens : 74.4% similarity, with 186 matched token, and 64 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 260 tokens : 73.46153846153847% similarity, with 191 matched token, and 69 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 270 tokens : 71.85185185185186% similarity, with 194 matched token, and 76 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 280 tokens : 68.57142857142857% similarity, with 192 matched token, and 88 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 290 tokens : 68.27586206896552% similarity, with 198 matched token, and 92 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 300 tokens : 67.33333333333333% similarity, with 202 matched token, and 98 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 325 tokens : 63.38461538461539% similarity, with 206 matched token, and 119 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 350 tokens : 62.857142857142854% similarity, with 220 matched token, and 130 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 375 tokens : 62.4% similarity, with 234 matched token, and 141 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 400 tokens : 63.24999999999999% similarity, with 253 matched token, and 147 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 425 tokens : 67.05882352941175% similarity, with 285 matched token, and 140 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 450 tokens : 67.33333333333333% similarity, with 303 matched token, and 147 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 475 tokens : 69.05263157894737% similarity, with 328 matched token, and 147 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 500 tokens : 69.6% similarity, with 348 matched token, and 152 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 525 tokens : 70.47619047619048% similarity, with 370 matched token, and 155 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 550 tokens : 72.0% similarity, with 396 matched token, and 154 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 575 tokens : 72.17391304347827% similarity, with 415 matched token, and 160 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 600 tokens : 74.33333333333333% similarity, with 446 matched token, and 154 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 625 tokens : 74.72% similarity, with 467 matched token, and 158 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 650 tokens : 75.84615384615384% similarity, with 493 matched token, and 157 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 675 tokens : 76.88888888888889% similarity, with 519 matched token, and 156 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 700 tokens : 76.85714285714286% similarity, with 538 matched token, and 162 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 750 tokens : 78.53333333333333% similarity, with 589 matched token, and 161 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 800 tokens : 78.875% similarity, with 631 matched token, and 169 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 850 tokens : 79.76470588235294% similarity, with 678 matched token, and 172 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 900 tokens : 81.11111111111111% similarity, with 730 matched token, and 170 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 950 tokens : 82.21052631578948% similarity, with 781 matched token, and 169 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1000 tokens : 82.19999999999999% similarity, with 822 matched token, and 178 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_v5wavenet_memory_guided.py \"../../../model/WaveV5-C-Tune5.pth\" \"./logs/WavenetV5-C-Tune5.csv\"" ] }, { "cell_type": "code", "execution_count": 8, "id": "e1795565", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T20:38:05.012685Z", "iopub.status.busy": "2023-08-25T20:38:05.012073Z", "iopub.status.idle": "2023-08-25T20:42:49.320489Z", "shell.execute_reply": "2023-08-25T20:42:49.319574Z" }, "papermill": { "duration": 284.38797, "end_time": "2023-08-25T20:42:49.322751", "exception": false, "start_time": "2023-08-25T20:38:04.934781", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 20:38:09,260] [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 : 82.45454545454545% similarity, with 907 matched token, and 193 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1150 tokens : 83.47826086956522% similarity, with 960 matched token, and 190 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1200 tokens : 84.08333333333333% similarity, with 1009 matched token, and 191 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1250 tokens : 84.39999999999999% similarity, with 1055 matched token, and 195 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1300 tokens : 84.6923076923077% similarity, with 1101 matched token, and 199 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1350 tokens : 85.4074074074074% similarity, with 1153 matched token, and 197 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1400 tokens : 85.42857142857143% similarity, with 1196 matched token, and 204 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1450 tokens : 86.13793103448276% similarity, with 1249 matched token, and 201 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1500 tokens : 86.4% similarity, with 1296 matched token, and 204 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1550 tokens : 86.25806451612902% similarity, with 1337 matched token, and 213 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1600 tokens : 85.875% similarity, with 1374 matched token, and 226 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1650 tokens : 85.87878787878788% similarity, with 1417 matched token, and 233 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1700 tokens : 85.1764705882353% similarity, with 1448 matched token, and 252 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1750 tokens : 84.39999999999999% similarity, with 1477 matched token, and 273 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1800 tokens : 83.11111111111111% similarity, with 1496 matched token, and 304 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1850 tokens : 82.0% similarity, with 1517 matched token, and 333 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1900 tokens : 80.57894736842105% similarity, with 1531 matched token, and 369 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1950 tokens : 79.17948717948718% similarity, with 1544 matched token, and 406 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2000 tokens : 77.9% similarity, with 1558 matched token, and 442 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2050 tokens : 75.70731707317073% similarity, with 1552 matched token, and 498 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2100 tokens : 73.66666666666667% similarity, with 1547 matched token, and 553 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2150 tokens : 71.72093023255815% similarity, with 1542 matched token, and 608 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2200 tokens : 69.68181818181817% similarity, with 1533 matched token, and 667 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2250 tokens : 67.37777777777778% similarity, with 1516 matched token, and 734 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2300 tokens : 66.17391304347827% similarity, with 1522 matched token, and 778 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2350 tokens : 64.29787234042553% similarity, with 1511 matched token, and 839 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2400 tokens : 63.24999999999999% similarity, with 1518 matched token, and 882 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2450 tokens : 61.142857142857146% similarity, with 1498 matched token, and 952 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2500 tokens : 60.199999999999996% similarity, with 1505 matched token, and 995 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2550 tokens : 59.13725490196079% similarity, with 1508 matched token, and 1042 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2600 tokens : 57.730769230769226% similarity, with 1501 matched token, and 1099 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2650 tokens : 56.377358490566046% similarity, with 1494 matched token, and 1156 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2700 tokens : 55.925925925925924% similarity, with 1510 matched token, and 1190 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2750 tokens : 54.50909090909091% similarity, with 1499 matched token, and 1251 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2800 tokens : 53.75% similarity, with 1505 matched token, and 1295 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2850 tokens : 53.05263157894737% similarity, with 1512 matched token, and 1338 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2900 tokens : 51.758620689655174% similarity, with 1501 matched token, and 1399 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2950 tokens : 50.37288135593221% similarity, with 1486 matched token, and 1464 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3000 tokens : 49.7% similarity, with 1491 matched token, and 1509 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3050 tokens : 48.59016393442623% similarity, with 1482 matched token, and 1568 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3100 tokens : 47.64516129032258% similarity, with 1477 matched token, and 1623 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3150 tokens : 47.14285714285714% similarity, with 1485 matched token, and 1665 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3200 tokens : 46.3125% similarity, with 1482 matched token, and 1718 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3250 tokens : 45.32307692307692% similarity, with 1473 matched token, and 1777 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3300 tokens : 44.0% similarity, with 1452 matched token, and 1848 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3350 tokens : 43.88059701492537% similarity, with 1470 matched token, and 1880 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3400 tokens : 42.705882352941174% similarity, with 1452 matched token, and 1948 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3450 tokens : 41.53623188405797% similarity, with 1433 matched token, and 2017 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3500 tokens : 40.885714285714286% similarity, with 1431 matched token, and 2069 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3550 tokens : 40.112676056338024% similarity, with 1424 matched token, and 2126 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3600 tokens : 39.166666666666664% similarity, with 1410 matched token, and 2190 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3650 tokens : 37.47945205479452% similarity, with 1368 matched token, and 2282 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3700 tokens : 36.648648648648646% similarity, with 1356 matched token, and 2344 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3750 tokens : 35.78666666666667% similarity, with 1342 matched token, and 2408 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3800 tokens : 34.78947368421053% similarity, with 1322 matched token, and 2478 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3850 tokens : 34.18181818181818% similarity, with 1316 matched token, and 2534 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3900 tokens : 33.56410256410257% similarity, with 1309 matched token, and 2591 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3950 tokens : 33.08860759493671% similarity, with 1307 matched token, and 2643 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4000 tokens : 32.775% similarity, with 1311 matched token, and 2689 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5wavenet_memory_guided.py \"../../../model/WaveV5-C-Tune5.pth\" \"./logs/WavenetV5-C-Tune5-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 9, "id": "e7432186", "metadata": { "execution": { "iopub.execute_input": "2023-08-25T20:42:49.475731Z", "iopub.status.busy": "2023-08-25T20:42:49.475127Z", "iopub.status.idle": "2023-08-25T21:46:47.799201Z", "shell.execute_reply": "2023-08-25T21:46:47.797787Z" }, "papermill": { "duration": 3838.403379, "end_time": "2023-08-25T21:46:47.801672", "exception": false, "start_time": "2023-08-25T20:42:49.398293", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-08-25 20:42:54,067] [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 : 31.585365853658537% similarity, with 1295 matched token, and 2805 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4200 tokens : 30.80952380952381% similarity, with 1294 matched token, and 2906 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4300 tokens : 29.511627906976745% similarity, with 1269 matched token, and 3031 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4400 tokens : 28.204545454545453% similarity, with 1241 matched token, and 3159 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4500 tokens : 27.244444444444444% similarity, with 1226 matched token, and 3274 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4600 tokens : 26.043478260869563% similarity, with 1198 matched token, and 3402 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4700 tokens : 24.70212765957447% similarity, with 1161 matched token, and 3539 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4800 tokens : 23.541666666666668% similarity, with 1130 matched token, and 3670 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4900 tokens : 22.428571428571427% similarity, with 1099 matched token, and 3801 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5000 tokens : 20.68% similarity, with 1034 matched token, and 3966 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5100 tokens : 19.823529411764707% similarity, with 1011 matched token, and 4089 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5200 tokens : 18.48076923076923% similarity, with 961 matched token, and 4239 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5300 tokens : 17.452830188679243% similarity, with 925 matched token, and 4375 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5400 tokens : 16.37037037037037% similarity, with 884 matched token, and 4516 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5500 tokens : 15.109090909090908% similarity, with 831 matched token, and 4669 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5600 tokens : 13.946428571428571% similarity, with 781 matched token, and 4819 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5700 tokens : 13.0% similarity, with 741 matched token, and 4959 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5800 tokens : 11.948275862068966% similarity, with 693 matched token, and 5107 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5900 tokens : 11.016949152542372% similarity, with 650 matched token, and 5250 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6000 tokens : 9.783333333333333% similarity, with 587 matched token, and 5413 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6100 tokens : 8.950819672131148% similarity, with 546 matched token, and 5554 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6200 tokens : 8.338709677419356% similarity, with 517 matched token, and 5683 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6300 tokens : 7.571428571428572% similarity, with 477 matched token, and 5823 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6400 tokens : 7.109375% similarity, with 455 matched token, and 5945 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6500 tokens : 6.538461538461539% similarity, with 425 matched token, and 6075 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6600 tokens : 6.0% similarity, with 396 matched token, and 6204 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6700 tokens : 5.567164179104478% similarity, with 373 matched token, and 6327 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6800 tokens : 5.102941176470589% similarity, with 347 matched token, and 6453 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6900 tokens : 4.826086956521739% similarity, with 333 matched token, and 6567 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7000 tokens : 4.571428571428571% similarity, with 320 matched token, and 6680 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7100 tokens : 4.338028169014085% similarity, with 308 matched token, and 6792 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7200 tokens : 4.236111111111112% similarity, with 305 matched token, and 6895 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7300 tokens : 4.068493150684931% similarity, with 297 matched token, and 7003 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7400 tokens : 3.9324324324324325% similarity, with 291 matched token, and 7109 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7500 tokens : 3.826666666666666% similarity, with 287 matched token, and 7213 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7600 tokens : 3.6578947368421053% similarity, with 278 matched token, and 7322 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7700 tokens : 3.6363636363636362% similarity, with 280 matched token, and 7420 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7800 tokens : 3.5769230769230766% similarity, with 279 matched token, and 7521 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7900 tokens : 3.518987341772152% similarity, with 278 matched token, and 7622 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8000 tokens : 3.4750000000000005% similarity, with 278 matched token, and 7722 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8100 tokens : 3.4814814814814814% similarity, with 282 matched token, and 7818 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8200 tokens : 3.4756097560975614% similarity, with 285 matched token, and 7915 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8300 tokens : 3.397590361445783% similarity, with 282 matched token, and 8018 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8400 tokens : 3.380952380952381% similarity, with 284 matched token, and 8116 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8500 tokens : 3.364705882352941% similarity, with 286 matched token, and 8214 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8600 tokens : 3.372093023255814% similarity, with 290 matched token, and 8310 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8700 tokens : 3.3563218390804597% similarity, with 292 matched token, and 8408 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8800 tokens : 3.340909090909091% similarity, with 294 matched token, and 8506 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8900 tokens : 3.348314606741573% similarity, with 298 matched token, and 8602 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9000 tokens : 3.3333333333333335% similarity, with 300 matched token, and 8700 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9100 tokens : 3.3516483516483517% similarity, with 305 matched token, and 8795 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9200 tokens : 3.3478260869565215% similarity, with 308 matched token, and 8892 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9300 tokens : 3.3333333333333335% similarity, with 310 matched token, and 8990 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9400 tokens : 3.3297872340425534% similarity, with 313 matched token, and 9087 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9500 tokens : 3.3578947368421055% similarity, with 319 matched token, and 9181 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9600 tokens : 3.3645833333333335% similarity, with 323 matched token, and 9277 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9700 tokens : 3.350515463917526% similarity, with 325 matched token, and 9375 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9800 tokens : 3.316326530612245% similarity, with 325 matched token, and 9475 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9900 tokens : 3.3333333333333335% similarity, with 330 matched token, and 9570 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10000 tokens : 3.37% similarity, with 337 matched token, and 9663 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10100 tokens : 3.3762376237623766% similarity, with 341 matched token, and 9759 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10200 tokens : 3.3725490196078427% similarity, with 344 matched token, and 9856 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10300 tokens : 3.378640776699029% similarity, with 348 matched token, and 9952 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10400 tokens : 3.3653846153846154% similarity, with 350 matched token, and 10050 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10500 tokens : 3.3904761904761904% similarity, with 356 matched token, and 10144 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10600 tokens : 3.3773584905660377% similarity, with 358 matched token, and 10242 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10700 tokens : 3.411214953271028% similarity, with 365 matched token, and 10335 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10800 tokens : 3.4074074074074074% similarity, with 368 matched token, and 10432 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10900 tokens : 3.3944954128440368% similarity, with 370 matched token, and 10530 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11000 tokens : 3.418181818181818% similarity, with 376 matched token, and 10624 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11100 tokens : 3.414414414414414% similarity, with 379 matched token, and 10721 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11200 tokens : 3.392857142857143% similarity, with 380 matched token, and 10820 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11300 tokens : 3.4070796460176993% similarity, with 385 matched token, and 10915 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11400 tokens : 3.4473684210526314% similarity, with 393 matched token, and 11007 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11500 tokens : 3.4434782608695653% similarity, with 396 matched token, and 11104 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11600 tokens : 3.474137931034483% similarity, with 403 matched token, and 11197 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11700 tokens : 3.4444444444444446% similarity, with 403 matched token, and 11297 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11800 tokens : 3.4661016949152543% similarity, with 409 matched token, and 11391 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11900 tokens : 3.46218487394958% similarity, with 412 matched token, and 11488 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12000 tokens : 3.4750000000000005% similarity, with 417 matched token, and 11583 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12100 tokens : 3.479338842975207% similarity, with 421 matched token, and 11679 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12200 tokens : 3.4672131147540983% similarity, with 423 matched token, and 11777 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12300 tokens : 3.4796747967479678% similarity, with 428 matched token, and 11872 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12400 tokens : 3.483870967741935% similarity, with 432 matched token, and 11968 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12500 tokens : 3.472% similarity, with 434 matched token, and 12066 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12600 tokens : 3.4682539682539684% similarity, with 437 matched token, and 12163 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12700 tokens : 3.47244094488189% similarity, with 441 matched token, and 12259 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12800 tokens : 3.4453125% similarity, with 441 matched token, and 12359 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12900 tokens : 3.4496124031007755% similarity, with 445 matched token, and 12455 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13000 tokens : 3.4769230769230766% similarity, with 452 matched token, and 12548 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13100 tokens : 3.4656488549618323% similarity, with 454 matched token, and 12646 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13200 tokens : 3.4772727272727275% similarity, with 459 matched token, and 12741 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13300 tokens : 3.4511278195488724% similarity, with 459 matched token, and 12841 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13400 tokens : 3.4925373134328357% similarity, with 468 matched token, and 12932 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13500 tokens : 3.4666666666666663% similarity, with 468 matched token, and 13032 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13600 tokens : 3.4926470588235294% similarity, with 475 matched token, and 13125 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13700 tokens : 3.4744525547445253% similarity, with 476 matched token, and 13224 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13800 tokens : 3.4710144927536235% similarity, with 479 matched token, and 13321 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13900 tokens : 3.4892086330935252% similarity, with 485 matched token, and 13415 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14000 tokens : 3.507142857142857% similarity, with 491 matched token, and 13509 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14100 tokens : 3.5106382978723407% similarity, with 495 matched token, and 13605 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14200 tokens : 3.4859154929577465% similarity, with 495 matched token, and 13705 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14300 tokens : 3.4965034965034967% similarity, with 500 matched token, and 13800 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14400 tokens : 3.5138888888888884% similarity, with 506 matched token, and 13894 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14500 tokens : 3.510344827586207% similarity, with 509 matched token, and 13991 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14600 tokens : 3.4863013698630136% similarity, with 509 matched token, and 14091 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14700 tokens : 3.5306122448979593% similarity, with 519 matched token, and 14181 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14800 tokens : 3.5000000000000004% similarity, with 518 matched token, and 14282 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14900 tokens : 3.4966442953020134% similarity, with 521 matched token, and 14379 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15000 tokens : 3.5000000000000004% similarity, with 525 matched token, and 14475 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15100 tokens : 3.503311258278146% similarity, with 529 matched token, and 14571 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15200 tokens : 3.4934210526315788% similarity, with 531 matched token, and 14669 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15300 tokens : 3.483660130718954% similarity, with 533 matched token, and 14767 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15400 tokens : 3.474025974025974% similarity, with 535 matched token, and 14865 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15500 tokens : 3.464516129032258% similarity, with 537 matched token, and 14963 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15600 tokens : 3.4871794871794872% similarity, with 544 matched token, and 15056 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15700 tokens : 3.4904458598726116% similarity, with 548 matched token, and 15152 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15800 tokens : 3.481012658227848% similarity, with 550 matched token, and 15250 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15900 tokens : 3.471698113207547% similarity, with 552 matched token, and 15348 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 16000 tokens : 3.4562500000000003% similarity, with 553 matched token, and 15447 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5wavenet_memory_guided.py \"../../../model/WaveV5-C-Tune5.pth\" \"./logs/WavenetV5-C-Tune5-16k.csv\" 4100 16000" ] } ], "metadata": { "kernelspec": { "display_name": "rwkv-infctx", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" }, "papermill": { "default_parameters": {}, "duration": 8692.243185, "end_time": "2023-08-25T21:46:48.318222", "environment_variables": {}, "exception": null, "input_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/Benchmark-V5.ipynb", "output_path": "/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/output/experiment/memory-bench/Benchmark-V5.ipynb", "parameters": {}, "start_time": "2023-08-25T19:21:56.075037", "version": "2.4.0" } }, "nbformat": 4, "nbformat_minor": 5 }