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connected.\r\n", "HTTP request sent, awaiting response... 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99%[==================> ] 3.19G 16.0MB/s eta 2s " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "m-ctx-8k.pth 99%[==================> ] 3.19G 16.0MB/s eta 1s " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "-ctx-8k.pth 99%[==================> ] 3.20G 16.0MB/s eta 1s " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "ctx-8k.pth 99%[==================> ] 3.20G 16.0MB/s eta 1s " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "v5-L6-D4096-E0_1-me 100%[===================>] 3.21G 16.3MB/s in 3m 31s \r\n", "\r\n", "2023-09-03 20:25:48 (15.6 MB/s) - ‘v5-L6-D4096-E0_1-mem-ctx-8k.pth’ saved [3441599237/3441599237]\r\n", "\r\n" ] } ], "source": [ "# Lets download the custom models\n", "!mkdir -p ../../../model/\n", "!cd ../../../model/ && wget -nc \"https://huggingface.co/picocreator/memory-size-experiment-for-rwkv/resolve/main/RWKV-v5-baseline/BaseV5-C-Tune5.pth\"\n", "!cd ../../../model/ && wget -nc \"https://huggingface.co/picocreator/RWKV-x-playground/resolve/main/V5-16k/EWR-1B5-E0_1-mem-ctx-8k.pth\"\n", "!cd ../../../model/ && wget -nc \"https://huggingface.co/picocreator/RWKV-x-playground/resolve/main/V5-16k/v5-L6-D2048-E0_1-mem-ctx-8k.pth\"\n", "!cd ../../../model/ && wget -nc \"https://huggingface.co/picocreator/RWKV-x-playground/resolve/main/V5-16k/v5-L6-D4096-E0_1-mem-ctx-8k.pth\"" ] }, { "cell_type": "code", "execution_count": 2, "id": "c948f2e4", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T20:25:48.623948Z", "iopub.status.busy": "2023-09-03T20:25:48.623693Z", "iopub.status.idle": "2023-09-03T20:25:48.845573Z", "shell.execute_reply": "2023-09-03T20:25:48.844762Z" }, "papermill": { "duration": 0.38044, "end_time": "2023-09-03T20:25:48.847277", "exception": false, "start_time": "2023-09-03T20:25:48.466837", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total 16G\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 17 14:38 EWR-1B5-E0_1-mem-ctx-8k.pth\r\n", "-rw-r--r-- 1 root root 1018M Aug 19 08:33 v5-L6-D2048-E0_1-mem-ctx-8k.pth\r\n", "-rw-r--r-- 1 root root 3.3G Aug 20 14:58 v5-L6-D4096-E0_1-mem-ctx-8k.pth\r\n" ] } ], "source": [ "!ls -lh ../../../model/" ] }, { "cell_type": "code", "execution_count": 3, "id": "b9bc581a", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T20:25:49.193048Z", "iopub.status.busy": "2023-09-03T20:25:49.192796Z", "iopub.status.idle": "2023-09-03T20:25:49.414037Z", "shell.execute_reply": "2023-09-03T20:25:49.413303Z" }, "papermill": { "duration": 0.381137, "end_time": "2023-09-03T20:25:49.415640", "exception": false, "start_time": "2023-09-03T20:25:49.034503", "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": "3432ab67", "metadata": { "papermill": { "duration": 0.156584, "end_time": "2023-09-03T20:25:49.733660", "exception": false, "start_time": "2023-09-03T20:25:49.577076", "status": "completed" }, "tags": [] }, "source": [ "# 1B5 V5 benchmark" ] }, { "cell_type": "code", "execution_count": 4, "id": "86f1c10d", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T20:25:50.074680Z", "iopub.status.busy": "2023-09-03T20:25:50.074422Z", "iopub.status.idle": "2023-09-03T20:26:34.339989Z", "shell.execute_reply": "2023-09-03T20:26:34.339195Z" }, "papermill": { "duration": 44.45193, "end_time": "2023-09-03T20:26:34.341980", "exception": false, "start_time": "2023-09-03T20:25:49.890050", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 20:25:52,974] [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", "###\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-Tune5-1k.csv\"" ] }, { "cell_type": "code", "execution_count": 5, "id": "593380cc", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T20:26:34.665339Z", "iopub.status.busy": "2023-09-03T20:26:34.665025Z", "iopub.status.idle": "2023-09-03T20:29:00.547664Z", "shell.execute_reply": "2023-09-03T20:29:00.546806Z" }, "papermill": { "duration": 146.043947, "end_time": "2023-09-03T20:29:00.549716", "exception": false, "start_time": "2023-09-03T20:26:34.505769", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 20:26:37,548] [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 : 97.51515151515152% similarity, with 1609 matched token, and 41 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 : 96.3157894736842% similarity, with 1830 matched token, and 70 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1950 tokens : 95.17948717948718% similarity, with 1856 matched token, and 94 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 : 90.09302325581395% similarity, with 1937 matched token, and 213 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 : 86.57777777777778% similarity, with 1948 matched token, and 302 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2300 tokens : 84.78260869565217% similarity, with 1950 matched token, and 350 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 : 78.65306122448979% similarity, with 1927 matched token, and 523 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2500 tokens : 77.0% similarity, with 1925 matched token, and 575 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2550 tokens : 75.29411764705883% similarity, with 1920 matched token, and 630 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 : 72.75471698113208% similarity, with 1928 matched token, and 722 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 : 66.72413793103448% similarity, with 1935 matched token, and 965 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2950 tokens : 65.5593220338983% similarity, with 1934 matched token, and 1016 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 : 61.142857142857146% similarity, with 1926 matched token, and 1224 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 : 58.151515151515156% similarity, with 1919 matched token, and 1381 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 : 53.49295774647887% similarity, with 1899 matched token, and 1651 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3600 tokens : 52.80555555555555% similarity, with 1901 matched token, and 1699 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 : 50.160000000000004% similarity, with 1881 matched token, and 1869 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" ] }, { "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-Tune5-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 6, "id": "e2ce1370", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T20:29:00.880903Z", "iopub.status.busy": "2023-09-03T20:29:00.880382Z", "iopub.status.idle": "2023-09-03T21:09:52.197485Z", "shell.execute_reply": "2023-09-03T21:09:52.196548Z" }, "papermill": { "duration": 2451.482478, "end_time": "2023-09-03T21:09:52.199530", "exception": false, "start_time": "2023-09-03T20:29:00.717052", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 20:29:03,755] [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 : 42.11904761904762% similarity, with 1769 matched token, and 2431 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 : 38.29545454545455% similarity, with 1685 matched token, and 2715 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4500 tokens : 35.84444444444445% similarity, with 1613 matched token, and 2887 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4600 tokens : 33.73913043478261% similarity, with 1552 matched token, and 3048 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4700 tokens : 31.042553191489365% similarity, with 1459 matched token, and 3241 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4800 tokens : 28.333333333333332% similarity, with 1360 matched token, and 3440 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4900 tokens : 25.83673469387755% similarity, with 1266 matched token, and 3634 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5000 tokens : 23.06% similarity, with 1153 matched token, and 3847 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 : 18.51923076923077% similarity, with 963 matched token, and 4237 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5300 tokens : 16.90566037735849% similarity, with 896 matched token, and 4404 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 : 13.454545454545455% similarity, with 740 matched token, and 4760 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5600 tokens : 11.625% similarity, with 651 matched token, and 4949 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5700 tokens : 10.43859649122807% similarity, with 595 matched token, and 5105 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5800 tokens : 9.310344827586208% similarity, with 540 matched token, and 5260 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5900 tokens : 8.288135593220339% similarity, with 489 matched token, and 5411 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6000 tokens : 7.416666666666667% similarity, with 445 matched token, and 5555 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6100 tokens : 6.655737704918033% similarity, with 406 matched token, and 5694 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6200 tokens : 6.064516129032258% similarity, with 376 matched token, and 5824 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 : 5.34375% similarity, with 342 matched token, and 6058 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 : 4.432835820895523% similarity, with 297 matched token, and 6403 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 : 3.6756756756756754% similarity, with 272 matched token, and 7128 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 : 3.4556962025316453% similarity, with 273 matched token, and 7627 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 : 3.432098765432099% similarity, with 278 matched token, and 7822 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 : 3.32967032967033% similarity, with 303 matched token, and 8797 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 : 3.3861386138613865% similarity, with 342 matched token, and 9758 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 : 3.390909090909091% similarity, with 373 matched token, and 10627 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 : 3.557046979865772% similarity, with 530 matched token, and 14370 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", "###\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": "96228497", "metadata": { "papermill": { "duration": 0.197365, "end_time": "2023-09-03T21:09:52.570397", "exception": false, "start_time": "2023-09-03T21:09:52.373032", "status": "completed" }, "tags": [] }, "source": [ "# EWR V5 benchmark" ] }, { "cell_type": "code", "execution_count": 7, "id": "c326fa62", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:09:52.907896Z", "iopub.status.busy": "2023-09-03T21:09:52.907596Z", "iopub.status.idle": "2023-09-03T21:09:56.832537Z", "shell.execute_reply": "2023-09-03T21:09:56.831759Z" }, "papermill": { "duration": 4.097836, "end_time": "2023-09-03T21:09:56.834392", "exception": false, "start_time": "2023-09-03T21:09:52.736556", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:09:55,827] [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": [ "Traceback (most recent call last):\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 366, in \r\n", " asyncio.run(main_function())\r\n", " File \"/usr/lib/python3.10/asyncio/runners.py\", line 44, in run\r\n", " return loop.run_until_complete(main)\r\n", " File \"/usr/lib/python3.10/asyncio/base_events.py\", line 649, in run_until_complete\r\n", " return future.result()\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 58, in main_function\r\n", " model = SimpleRWKV(model_path, device=\"cuda\")\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 1378, in __init__\r\n", " self.model = RWKV(**model_config)\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 553, in __init__\r\n", " raise ValueError(f\"load_model file '{load_model}' does not exist\")\r\n", "ValueError: load_model file '../../../model/EWR-1B5-E0_1.pth' does not exist\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/EWR-1B5-E0_1.pth\" \"./logs/v5-EWR-1B5-E0_1-1k.csv\"" ] }, { "cell_type": "code", "execution_count": 8, "id": "56dd628f", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:09:57.178766Z", "iopub.status.busy": "2023-09-03T21:09:57.178458Z", "iopub.status.idle": "2023-09-03T21:10:00.930170Z", "shell.execute_reply": "2023-09-03T21:10:00.929380Z" }, "papermill": { "duration": 3.92518, "end_time": "2023-09-03T21:10:00.932142", "exception": false, "start_time": "2023-09-03T21:09:57.006962", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:09:59,926] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n", "Traceback (most recent call last):\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 366, in \r\n", " asyncio.run(main_function())\r\n", " File \"/usr/lib/python3.10/asyncio/runners.py\", line 44, in run\r\n", " return loop.run_until_complete(main)\r\n", " File \"/usr/lib/python3.10/asyncio/base_events.py\", line 649, in run_until_complete\r\n", " return future.result()\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 58, in main_function\r\n", " model = SimpleRWKV(model_path, device=\"cuda\")\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 1378, in __init__\r\n", " self.model = RWKV(**model_config)\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 553, in __init__\r\n", " raise ValueError(f\"load_model file '{load_model}' does not exist\")\r\n", "ValueError: load_model file '../../../model/EWR-1B5-E0_1.pth' does not exist\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/EWR-1B5-E0_1.pth\" \"./logs/v5-EWR-1B5-E0_1-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 9, "id": "89c24237", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:10:01.306863Z", "iopub.status.busy": "2023-09-03T21:10:01.306562Z", "iopub.status.idle": "2023-09-03T21:10:05.080941Z", "shell.execute_reply": "2023-09-03T21:10:05.080110Z" }, "papermill": { "duration": 3.9771, "end_time": "2023-09-03T21:10:05.082977", "exception": false, "start_time": "2023-09-03T21:10:01.105877", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:10:04,077] [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": [ "Traceback (most recent call last):\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 366, in \r\n", " asyncio.run(main_function())\r\n", " File \"/usr/lib/python3.10/asyncio/runners.py\", line 44, in run\r\n", " return loop.run_until_complete(main)\r\n", " File \"/usr/lib/python3.10/asyncio/base_events.py\", line 649, in run_until_complete\r\n", " return future.result()\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/notebook/experiment/memory-bench/./memory_script/eval_v5_memory_guided.py\", line 58, in main_function\r\n", " model = SimpleRWKV(model_path, device=\"cuda\")\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 1378, in __init__\r\n", " self.model = RWKV(**model_config)\r\n", " File \"/actions-runner/_work/RWKV-infctx-trainer/RWKV-infctx-trainer/RWKV-v5/src/model.py\", line 553, in __init__\r\n", " raise ValueError(f\"load_model file '{load_model}' does not exist\")\r\n", "ValueError: load_model file '../../../model/EWR-1B5-E0_1.pth' does not exist\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/EWR-1B5-E0_1.pth\" \"./logs/v5-EWR-1B5-E0_1-16k.csv\" 4100 16000" ] }, { "cell_type": "markdown", "id": "9d2708e8", "metadata": { "papermill": { "duration": 0.168816, "end_time": "2023-09-03T21:10:05.425798", "exception": false, "start_time": "2023-09-03T21:10:05.256982", "status": "completed" }, "tags": [] }, "source": [ "# v5-L6-D2048-E0_1-mem-ctx-8k.pth" ] }, { "cell_type": "code", "execution_count": 10, "id": "263af1c1", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:10:05.764706Z", "iopub.status.busy": "2023-09-03T21:10:05.764381Z", "iopub.status.idle": "2023-09-03T21:10:35.320449Z", "shell.execute_reply": "2023-09-03T21:10:35.319570Z" }, "papermill": { "duration": 29.727962, "end_time": "2023-09-03T21:10:35.322472", "exception": false, "start_time": "2023-09-03T21:10:05.594510", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:10:08,512] [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 : 98.18181818181819% similarity, with 54 matched token, and 1 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 : 98.46153846153847% similarity, with 64 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 70 tokens : 98.57142857142858% similarity, with 69 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 75 tokens : 98.66666666666667% similarity, with 74 matched token, and 1 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 : 97.77777777777777% similarity, with 88 matched token, and 2 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 : 99.0% similarity, with 99 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 105 tokens : 99.04761904761905% similarity, with 104 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 110 tokens : 99.0909090909091% similarity, with 109 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 115 tokens : 99.1304347826087% similarity, with 114 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 120 tokens : 99.16666666666667% similarity, with 119 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 125 tokens : 99.2% similarity, with 124 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 130 tokens : 99.23076923076923% similarity, with 129 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 135 tokens : 99.25925925925925% similarity, with 134 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 140 tokens : 99.28571428571429% similarity, with 139 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 145 tokens : 99.3103448275862% similarity, with 144 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 150 tokens : 99.33333333333333% similarity, with 149 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 160 tokens : 99.375% similarity, with 159 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 170 tokens : 99.41176470588235% similarity, with 169 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 180 tokens : 99.44444444444444% similarity, with 179 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 190 tokens : 97.89473684210527% similarity, with 186 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 200 tokens : 98.5% similarity, with 197 matched token, and 3 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 210 tokens : 98.09523809523809% similarity, with 206 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 220 tokens : 96.36363636363636% similarity, with 212 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 230 tokens : 97.3913043478261% similarity, with 224 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 240 tokens : 97.5% similarity, with 234 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 250 tokens : 97.6% similarity, with 244 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 260 tokens : 97.3076923076923% similarity, with 253 matched token, and 7 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 270 tokens : 97.03703703703704% similarity, with 262 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 280 tokens : 95.35714285714286% similarity, with 267 matched token, and 13 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 290 tokens : 95.17241379310344% similarity, with 276 matched token, and 14 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 300 tokens : 95.33333333333334% similarity, with 286 matched token, and 14 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 325 tokens : 95.6923076923077% similarity, with 311 matched token, and 14 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 350 tokens : 95.14285714285714% similarity, with 333 matched token, and 17 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 375 tokens : 93.60000000000001% similarity, with 351 matched token, and 24 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 400 tokens : 91.75% similarity, with 367 matched token, and 33 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 425 tokens : 91.76470588235294% similarity, with 390 matched token, and 35 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 450 tokens : 89.77777777777777% similarity, with 404 matched token, and 46 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 475 tokens : 89.47368421052632% similarity, with 425 matched token, and 50 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 500 tokens : 88.8% similarity, with 444 matched token, and 56 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 525 tokens : 87.80952380952381% similarity, with 461 matched token, and 64 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 550 tokens : 86.72727272727273% similarity, with 477 matched token, and 73 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 575 tokens : 86.08695652173914% similarity, with 495 matched token, and 80 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 600 tokens : 85.66666666666667% similarity, with 514 matched token, and 86 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 625 tokens : 84.48% similarity, with 528 matched token, and 97 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 650 tokens : 83.23076923076923% similarity, with 541 matched token, and 109 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 675 tokens : 82.07407407407408% similarity, with 554 matched token, and 121 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 700 tokens : 81.0% similarity, with 567 matched token, and 133 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 : 76.75% similarity, with 614 matched token, and 186 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 850 tokens : 73.76470588235294% similarity, with 627 matched token, and 223 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 900 tokens : 71.33333333333334% similarity, with 642 matched token, and 258 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 950 tokens : 68.84210526315789% similarity, with 654 matched token, and 296 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1000 tokens : 67.5% similarity, with 675 matched token, and 325 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Finished baseline model to eval output predictive matching (aka 0 memory?), for 1000 tokens\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D2048-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D2048-E0_1-1k.csv\"" ] }, { "cell_type": "code", "execution_count": 11, "id": "f84eabeb", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:10:35.694200Z", "iopub.status.busy": "2023-09-03T21:10:35.693712Z", "iopub.status.idle": "2023-09-03T21:13:03.945037Z", "shell.execute_reply": "2023-09-03T21:13:03.944165Z" }, "papermill": { "duration": 148.452741, "end_time": "2023-09-03T21:13:03.947012", "exception": false, "start_time": "2023-09-03T21:10:35.494271", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:10:38,512] [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 : 61.0% similarity, with 671 matched token, and 429 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1150 tokens : 58.34782608695652% similarity, with 671 matched token, and 479 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1200 tokens : 56.49999999999999% similarity, with 678 matched token, and 522 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1250 tokens : 54.400000000000006% similarity, with 680 matched token, and 570 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1300 tokens : 51.92307692307693% similarity, with 675 matched token, and 625 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1350 tokens : 50.37037037037037% similarity, with 680 matched token, and 670 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1400 tokens : 48.214285714285715% similarity, with 675 matched token, and 725 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1450 tokens : 45.03448275862069% similarity, with 653 matched token, and 797 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1500 tokens : 43.06666666666666% similarity, with 646 matched token, and 854 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1550 tokens : 41.80645161290323% similarity, with 648 matched token, and 902 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1600 tokens : 41.1875% similarity, with 659 matched token, and 941 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1650 tokens : 39.39393939393939% similarity, with 650 matched token, and 1000 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1700 tokens : 38.1764705882353% similarity, with 649 matched token, and 1051 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1750 tokens : 36.285714285714285% similarity, with 635 matched token, and 1115 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1800 tokens : 35.27777777777778% similarity, with 635 matched token, and 1165 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1850 tokens : 33.4054054054054% similarity, with 618 matched token, and 1232 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1900 tokens : 32.315789473684205% similarity, with 614 matched token, and 1286 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1950 tokens : 31.538461538461537% similarity, with 615 matched token, and 1335 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2000 tokens : 30.75% similarity, with 615 matched token, and 1385 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2050 tokens : 30.097560975609756% similarity, with 617 matched token, and 1433 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2100 tokens : 29.19047619047619% similarity, with 613 matched token, and 1487 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2150 tokens : 28.511627906976745% similarity, with 613 matched token, and 1537 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2200 tokens : 28.045454545454547% similarity, with 617 matched token, and 1583 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2250 tokens : 27.28888888888889% similarity, with 614 matched token, and 1636 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2300 tokens : 26.608695652173914% similarity, with 612 matched token, and 1688 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2350 tokens : 26.04255319148936% similarity, with 612 matched token, and 1738 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2400 tokens : 25.458333333333332% similarity, with 611 matched token, and 1789 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2450 tokens : 24.653061224489793% similarity, with 604 matched token, and 1846 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2500 tokens : 24.2% similarity, with 605 matched token, and 1895 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2550 tokens : 23.72549019607843% similarity, with 605 matched token, and 1945 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2600 tokens : 23.26923076923077% similarity, with 605 matched token, and 1995 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2650 tokens : 22.79245283018868% similarity, with 604 matched token, and 2046 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2700 tokens : 22.25925925925926% similarity, with 601 matched token, and 2099 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2750 tokens : 21.818181818181817% similarity, with 600 matched token, and 2150 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2800 tokens : 21.428571428571427% similarity, with 600 matched token, and 2200 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2850 tokens : 21.157894736842106% similarity, with 603 matched token, and 2247 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2900 tokens : 20.655172413793103% similarity, with 599 matched token, and 2301 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2950 tokens : 20.30508474576271% similarity, with 599 matched token, and 2351 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3000 tokens : 19.900000000000002% similarity, with 597 matched token, and 2403 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3050 tokens : 19.540983606557376% similarity, with 596 matched token, and 2454 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3100 tokens : 19.161290322580644% similarity, with 594 matched token, and 2506 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3150 tokens : 18.88888888888889% similarity, with 595 matched token, and 2555 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3200 tokens : 18.5625% similarity, with 594 matched token, and 2606 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3250 tokens : 18.246153846153845% similarity, with 593 matched token, and 2657 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3300 tokens : 17.87878787878788% similarity, with 590 matched token, and 2710 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3350 tokens : 17.582089552238806% similarity, with 589 matched token, and 2761 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3400 tokens : 17.352941176470587% similarity, with 590 matched token, and 2810 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3450 tokens : 16.956521739130434% similarity, with 585 matched token, and 2865 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3500 tokens : 16.657142857142855% similarity, with 583 matched token, and 2917 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3550 tokens : 16.366197183098592% similarity, with 581 matched token, and 2969 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3600 tokens : 15.944444444444445% similarity, with 574 matched token, and 3026 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3650 tokens : 15.835616438356166% similarity, with 578 matched token, and 3072 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3700 tokens : 15.513513513513514% similarity, with 574 matched token, and 3126 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3750 tokens : 15.28% similarity, with 573 matched token, and 3177 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3800 tokens : 15.078947368421053% similarity, with 573 matched token, and 3227 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3850 tokens : 14.779220779220777% similarity, with 569 matched token, and 3281 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3900 tokens : 14.692307692307693% similarity, with 573 matched token, and 3327 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3950 tokens : 14.227848101265822% similarity, with 562 matched token, and 3388 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4000 tokens : 13.850000000000001% similarity, with 554 matched token, and 3446 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D2048-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D2048-E0_1-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 12, "id": "d0dba34e", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:13:04.335416Z", "iopub.status.busy": "2023-09-03T21:13:04.335120Z", "iopub.status.idle": "2023-09-03T21:52:29.180067Z", "shell.execute_reply": "2023-09-03T21:52:29.179191Z" }, "papermill": { "duration": 2365.050043, "end_time": "2023-09-03T21:52:29.181928", "exception": false, "start_time": "2023-09-03T21:13:04.131885", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:13:07,203] [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 : 13.390243902439025% similarity, with 549 matched token, and 3551 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4200 tokens : 12.547619047619046% similarity, with 527 matched token, and 3673 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4300 tokens : 11.906976744186046% similarity, with 512 matched token, and 3788 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4400 tokens : 10.772727272727273% similarity, with 474 matched token, and 3926 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4500 tokens : 9.866666666666667% similarity, with 444 matched token, and 4056 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4600 tokens : 8.76086956521739% similarity, with 403 matched token, and 4197 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4700 tokens : 8.106382978723405% similarity, with 381 matched token, and 4319 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4800 tokens : 7.208333333333333% similarity, with 346 matched token, and 4454 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4900 tokens : 6.346938775510204% similarity, with 311 matched token, and 4589 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5000 tokens : 5.42% similarity, with 271 matched token, and 4729 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5100 tokens : 4.96078431372549% similarity, with 253 matched token, and 4847 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5200 tokens : 4.5% similarity, with 234 matched token, and 4966 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5300 tokens : 4.377358490566038% similarity, with 232 matched token, and 5068 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5400 tokens : 4.092592592592593% similarity, with 221 matched token, and 5179 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5500 tokens : 4.0% similarity, with 220 matched token, and 5280 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5600 tokens : 3.8214285714285716% similarity, with 214 matched token, and 5386 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5700 tokens : 3.736842105263158% similarity, with 213 matched token, and 5487 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5800 tokens : 3.6551724137931036% similarity, with 212 matched token, and 5588 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5900 tokens : 3.6610169491525424% similarity, with 216 matched token, and 5684 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6000 tokens : 3.55% similarity, with 213 matched token, and 5787 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6100 tokens : 3.540983606557377% similarity, with 216 matched token, and 5884 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6200 tokens : 3.5000000000000004% similarity, with 217 matched token, and 5983 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6300 tokens : 3.492063492063492% similarity, with 220 matched token, and 6080 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6400 tokens : 3.453125% similarity, with 221 matched token, and 6179 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6500 tokens : 3.4615384615384617% similarity, with 225 matched token, and 6275 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6600 tokens : 3.4393939393939394% similarity, with 227 matched token, and 6373 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6700 tokens : 3.4477611940298503% similarity, with 231 matched token, and 6469 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6800 tokens : 3.426470588235294% similarity, with 233 matched token, and 6567 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6900 tokens : 3.4492753623188404% similarity, with 238 matched token, and 6662 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7000 tokens : 3.4428571428571426% similarity, with 241 matched token, and 6759 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7100 tokens : 3.4225352112676055% similarity, with 243 matched token, and 6857 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7200 tokens : 3.4027777777777777% similarity, with 245 matched token, and 6955 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7300 tokens : 3.4109589041095894% similarity, with 249 matched token, and 7051 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7400 tokens : 3.4054054054054053% similarity, with 252 matched token, and 7148 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7500 tokens : 3.4133333333333336% similarity, with 256 matched token, and 7244 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7600 tokens : 3.421052631578948% similarity, with 260 matched token, and 7340 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7700 tokens : 3.428571428571429% similarity, with 264 matched token, and 7436 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7800 tokens : 3.4102564102564106% similarity, with 266 matched token, and 7534 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7900 tokens : 3.4177215189873418% similarity, with 270 matched token, and 7630 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8000 tokens : 3.4125% similarity, with 273 matched token, and 7727 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8100 tokens : 3.45679012345679% similarity, with 280 matched token, and 7820 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8200 tokens : 3.439024390243903% similarity, with 282 matched token, and 7918 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8300 tokens : 3.4216867469879517% similarity, with 284 matched token, and 8016 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8400 tokens : 3.428571428571429% similarity, with 288 matched token, and 8112 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8500 tokens : 3.458823529411765% similarity, with 294 matched token, and 8206 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8600 tokens : 3.4534883720930236% similarity, with 297 matched token, and 8303 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8700 tokens : 3.4482758620689653% similarity, with 300 matched token, and 8400 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8800 tokens : 3.4431818181818183% similarity, with 303 matched token, and 8497 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8900 tokens : 3.449438202247191% similarity, with 307 matched token, and 8593 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9000 tokens : 3.4333333333333336% similarity, with 309 matched token, and 8691 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9100 tokens : 3.4505494505494507% similarity, with 314 matched token, and 8786 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9200 tokens : 3.4565217391304346% similarity, with 318 matched token, and 8882 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9300 tokens : 3.4301075268817205% similarity, with 319 matched token, and 8981 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9400 tokens : 3.404255319148936% similarity, with 320 matched token, and 9080 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9500 tokens : 3.431578947368421% similarity, with 326 matched token, and 9174 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9600 tokens : 3.4166666666666665% similarity, with 328 matched token, and 9272 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9700 tokens : 3.422680412371134% similarity, with 332 matched token, and 9368 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9800 tokens : 3.387755102040816% similarity, with 332 matched token, and 9468 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9900 tokens : 3.424242424242424% similarity, with 339 matched token, and 9561 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10000 tokens : 3.45% similarity, with 345 matched token, and 9655 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10100 tokens : 3.455445544554456% similarity, with 349 matched token, and 9751 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10200 tokens : 3.4509803921568625% similarity, with 352 matched token, and 9848 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10300 tokens : 3.4368932038834954% similarity, with 354 matched token, and 9946 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10400 tokens : 3.4423076923076925% similarity, with 358 matched token, and 10042 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10500 tokens : 3.4666666666666663% similarity, with 364 matched token, and 10136 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10600 tokens : 3.4528301886792456% similarity, with 366 matched token, and 10234 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10700 tokens : 3.4766355140186915% similarity, with 372 matched token, and 10328 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10800 tokens : 3.490740740740741% similarity, with 377 matched token, and 10423 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10900 tokens : 3.4770642201834865% similarity, with 379 matched token, and 10521 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11000 tokens : 3.5000000000000004% similarity, with 385 matched token, and 10615 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11100 tokens : 3.4954954954954953% similarity, with 388 matched token, and 10712 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11200 tokens : 3.482142857142857% similarity, with 390 matched token, and 10810 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11300 tokens : 3.4955752212389384% similarity, with 395 matched token, and 10905 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11400 tokens : 3.543859649122807% similarity, with 404 matched token, and 10996 token mismatch\r\n" ] }, { 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mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14200 tokens : 3.5985915492957745% similarity, with 511 matched token, and 13689 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14300 tokens : 3.5944055944055946% similarity, with 514 matched token, and 13786 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14400 tokens : 3.6111111111111107% similarity, with 520 matched token, and 13880 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14500 tokens : 3.5999999999999996% similarity, with 522 matched token, and 13978 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14600 tokens : 3.5890410958904106% similarity, with 524 matched token, and 14076 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14700 tokens : 3.619047619047619% similarity, with 532 matched token, and 14168 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14800 tokens : 3.614864864864865% similarity, with 535 matched token, and 14265 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14900 tokens : 3.610738255033557% similarity, with 538 matched token, and 14362 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15000 tokens : 3.5999999999999996% similarity, with 540 matched token, and 14460 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15100 tokens : 3.596026490066225% similarity, with 543 matched token, and 14557 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15200 tokens : 3.592105263157895% similarity, with 546 matched token, and 14654 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15300 tokens : 3.594771241830065% similarity, with 550 matched token, and 14750 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15400 tokens : 3.5909090909090913% similarity, with 553 matched token, and 14847 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15500 tokens : 3.587096774193548% similarity, with 556 matched token, and 14944 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15600 tokens : 3.5897435897435894% similarity, with 560 matched token, and 15040 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15700 tokens : 3.5923566878980893% similarity, with 564 matched token, and 15136 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15800 tokens : 3.5822784810126582% similarity, with 566 matched token, and 15234 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15900 tokens : 3.578616352201258% similarity, with 569 matched token, and 15331 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 16000 tokens : 3.5687499999999996% similarity, with 571 matched token, and 15429 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D2048-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D2048-E0_1-16k.csv\" 4100 16000" ] }, { "cell_type": "markdown", "id": "e91742ab", "metadata": { "papermill": { "duration": 0.1773, "end_time": "2023-09-03T21:52:29.541429", "exception": false, "start_time": "2023-09-03T21:52:29.364129", "status": "completed" }, "tags": [] }, "source": [ "# v5-L6-D4096-E0_1-mem-ctx-8k.pth" ] }, { "cell_type": "code", "execution_count": 13, "id": "6b83c4c4", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:52:29.932912Z", "iopub.status.busy": "2023-09-03T21:52:29.932653Z", "iopub.status.idle": "2023-09-03T21:53:08.969049Z", "shell.execute_reply": "2023-09-03T21:53:08.968259Z" }, "papermill": { "duration": 39.217473, "end_time": "2023-09-03T21:53:08.970959", "exception": false, "start_time": "2023-09-03T21:52:29.753486", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:52:32,831] [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 : 99.33333333333333% similarity, with 149 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 160 tokens : 99.375% similarity, with 159 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 170 tokens : 98.82352941176471% similarity, with 168 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 180 tokens : 98.88888888888889% similarity, with 178 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 190 tokens : 98.94736842105263% similarity, with 188 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 200 tokens : 99.0% similarity, with 198 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 210 tokens : 99.04761904761905% similarity, with 208 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 220 tokens : 99.0909090909091% similarity, with 218 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 230 tokens : 99.1304347826087% similarity, with 228 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 240 tokens : 99.58333333333333% similarity, with 239 matched token, and 1 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 250 tokens : 99.2% similarity, with 248 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 260 tokens : 99.23076923076923% similarity, with 258 matched token, and 2 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 270 tokens : 98.51851851851852% similarity, with 266 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 280 tokens : 98.57142857142858% similarity, with 276 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 290 tokens : 98.62068965517241% similarity, with 286 matched token, and 4 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 300 tokens : 98.0% similarity, with 294 matched token, and 6 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 325 tokens : 98.46153846153847% similarity, with 320 matched token, and 5 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 350 tokens : 97.71428571428571% similarity, with 342 matched token, and 8 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 375 tokens : 96.53333333333333% similarity, with 362 matched token, and 13 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 400 tokens : 96.75% similarity, with 387 matched token, and 13 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 425 tokens : 96.47058823529412% similarity, with 410 matched token, and 15 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 450 tokens : 96.0% similarity, with 432 matched token, and 18 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 475 tokens : 95.36842105263158% similarity, with 453 matched token, and 22 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 500 tokens : 93.8% similarity, with 469 matched token, and 31 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 525 tokens : 93.9047619047619% similarity, with 493 matched token, and 32 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 550 tokens : 93.81818181818183% similarity, with 516 matched token, and 34 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 575 tokens : 92.8695652173913% similarity, with 534 matched token, and 41 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 600 tokens : 92.66666666666666% similarity, with 556 matched token, and 44 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 625 tokens : 92.0% similarity, with 575 matched token, and 50 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 650 tokens : 90.46153846153845% similarity, with 588 matched token, and 62 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 675 tokens : 90.96296296296296% similarity, with 614 matched token, and 61 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 700 tokens : 91.0% similarity, with 637 matched token, and 63 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 750 tokens : 89.2% similarity, with 669 matched token, and 81 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 800 tokens : 88.0% similarity, with 704 matched token, and 96 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 850 tokens : 87.52941176470588% similarity, with 744 matched token, and 106 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 900 tokens : 87.66666666666667% similarity, with 789 matched token, and 111 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 950 tokens : 85.78947368421052% similarity, with 815 matched token, and 135 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1000 tokens : 83.6% similarity, with 836 matched token, and 164 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Finished baseline model to eval output predictive matching (aka 0 memory?), for 1000 tokens\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D4096-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D4096-E0_1-1k.csv\"" ] }, { "cell_type": "code", "execution_count": 14, "id": "6f4eb2c2", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:53:09.337795Z", "iopub.status.busy": "2023-09-03T21:53:09.337492Z", "iopub.status.idle": "2023-09-03T21:55:27.818024Z", "shell.execute_reply": "2023-09-03T21:55:27.817199Z" }, "papermill": { "duration": 138.663607, "end_time": "2023-09-03T21:55:27.820055", "exception": false, "start_time": "2023-09-03T21:53:09.156448", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:53:12,228] [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 : 80.0909090909091% similarity, with 881 matched token, and 219 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1150 tokens : 78.34782608695652% similarity, with 901 matched token, and 249 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1200 tokens : 77.16666666666666% similarity, with 926 matched token, and 274 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1250 tokens : 74.56% similarity, with 932 matched token, and 318 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1300 tokens : 73.07692307692307% similarity, with 950 matched token, and 350 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1350 tokens : 72.5925925925926% similarity, with 980 matched token, and 370 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1400 tokens : 70.71428571428572% similarity, with 990 matched token, and 410 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1450 tokens : 68.06896551724138% similarity, with 987 matched token, and 463 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1500 tokens : 66.0% similarity, with 990 matched token, and 510 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1550 tokens : 65.48387096774194% similarity, with 1015 matched token, and 535 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1600 tokens : 63.31250000000001% similarity, with 1013 matched token, and 587 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1650 tokens : 62.24242424242424% similarity, with 1027 matched token, and 623 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1700 tokens : 60.47058823529412% similarity, with 1028 matched token, and 672 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1750 tokens : 59.02857142857143% similarity, with 1033 matched token, and 717 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1800 tokens : 56.388888888888886% similarity, with 1015 matched token, and 785 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1850 tokens : 56.00000000000001% similarity, with 1036 matched token, and 814 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1900 tokens : 54.94736842105263% similarity, with 1044 matched token, and 856 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 1950 tokens : 53.12820512820513% similarity, with 1036 matched token, and 914 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2000 tokens : 52.75% similarity, with 1055 matched token, and 945 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2050 tokens : 50.926829268292686% similarity, with 1044 matched token, and 1006 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2100 tokens : 49.61904761904762% similarity, with 1042 matched token, and 1058 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2150 tokens : 47.76744186046511% similarity, with 1027 matched token, and 1123 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2200 tokens : 46.409090909090914% similarity, with 1021 matched token, and 1179 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2250 tokens : 45.33333333333333% similarity, with 1020 matched token, and 1230 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2300 tokens : 43.21739130434782% similarity, with 994 matched token, and 1306 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2350 tokens : 41.61702127659574% similarity, with 978 matched token, and 1372 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2400 tokens : 40.833333333333336% similarity, with 980 matched token, and 1420 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2450 tokens : 38.9795918367347% similarity, with 955 matched token, and 1495 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2500 tokens : 37.88% similarity, with 947 matched token, and 1553 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2550 tokens : 36.431372549019606% similarity, with 929 matched token, and 1621 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2600 tokens : 35.53846153846154% similarity, with 924 matched token, and 1676 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2650 tokens : 34.56603773584906% similarity, with 916 matched token, and 1734 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2700 tokens : 33.88888888888889% similarity, with 915 matched token, and 1785 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2750 tokens : 32.690909090909095% similarity, with 899 matched token, and 1851 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2800 tokens : 31.642857142857146% similarity, with 886 matched token, and 1914 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2850 tokens : 31.087719298245613% similarity, with 886 matched token, and 1964 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2900 tokens : 30.10344827586207% similarity, with 873 matched token, and 2027 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 2950 tokens : 29.322033898305083% similarity, with 865 matched token, and 2085 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3000 tokens : 28.7% similarity, with 861 matched token, and 2139 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3050 tokens : 27.77049180327869% similarity, with 847 matched token, and 2203 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3100 tokens : 27.387096774193548% similarity, with 849 matched token, and 2251 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3150 tokens : 26.88888888888889% similarity, with 847 matched token, and 2303 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3200 tokens : 26.28125% similarity, with 841 matched token, and 2359 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3250 tokens : 25.784615384615385% similarity, with 838 matched token, and 2412 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3300 tokens : 25.181818181818183% similarity, with 831 matched token, and 2469 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3350 tokens : 24.47761194029851% similarity, with 820 matched token, and 2530 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3400 tokens : 24.058823529411764% similarity, with 818 matched token, and 2582 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3450 tokens : 23.391304347826086% similarity, with 807 matched token, and 2643 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3500 tokens : 23.0% similarity, with 805 matched token, and 2695 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3550 tokens : 22.7887323943662% similarity, with 809 matched token, and 2741 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3600 tokens : 22.47222222222222% similarity, with 809 matched token, and 2791 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3650 tokens : 22.054794520547947% similarity, with 805 matched token, and 2845 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3700 tokens : 21.81081081081081% similarity, with 807 matched token, and 2893 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3750 tokens : 21.493333333333332% similarity, with 806 matched token, and 2944 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3800 tokens : 21.342105263157897% similarity, with 811 matched token, and 2989 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3850 tokens : 21.038961038961038% similarity, with 810 matched token, and 3040 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3900 tokens : 20.666666666666668% similarity, with 806 matched token, and 3094 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 3950 tokens : 20.32911392405063% similarity, with 803 matched token, and 3147 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4000 tokens : 20.075000000000003% similarity, with 803 matched token, and 3197 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D4096-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D4096-E0_1-4k.csv\" 1100 4000" ] }, { "cell_type": "code", "execution_count": 15, "id": "c1e57430", "metadata": { "execution": { "iopub.execute_input": "2023-09-03T21:55:28.194262Z", "iopub.status.busy": "2023-09-03T21:55:28.193770Z", "iopub.status.idle": "2023-09-03T22:35:26.110258Z", "shell.execute_reply": "2023-09-03T22:35:26.109473Z" }, "papermill": { "duration": 2398.101952, "end_time": "2023-09-03T22:35:26.112131", "exception": false, "start_time": "2023-09-03T21:55:28.010179", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2023-09-03 21:55:31,085] [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 : 19.365853658536587% similarity, with 794 matched token, and 3306 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4200 tokens : 18.452380952380953% similarity, with 775 matched token, and 3425 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4300 tokens : 17.883720930232556% similarity, with 769 matched token, and 3531 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4400 tokens : 17.09090909090909% similarity, with 752 matched token, and 3648 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4500 tokens : 16.42222222222222% similarity, with 739 matched token, and 3761 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4600 tokens : 15.695652173913043% similarity, with 722 matched token, and 3878 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4700 tokens : 14.829787234042552% similarity, with 697 matched token, and 4003 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4800 tokens : 14.145833333333332% similarity, with 679 matched token, and 4121 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 4900 tokens : 13.204081632653061% similarity, with 647 matched token, and 4253 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5000 tokens : 12.46% similarity, with 623 matched token, and 4377 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5100 tokens : 11.490196078431373% similarity, with 586 matched token, and 4514 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5200 tokens : 10.615384615384615% similarity, with 552 matched token, and 4648 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5300 tokens : 9.773584905660378% similarity, with 518 matched token, and 4782 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5400 tokens : 8.666666666666668% similarity, with 468 matched token, and 4932 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5500 tokens : 7.8909090909090915% similarity, with 434 matched token, and 5066 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5600 tokens : 7.214285714285714% similarity, with 404 matched token, and 5196 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5700 tokens : 6.543859649122807% similarity, with 373 matched token, and 5327 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5800 tokens : 5.931034482758621% similarity, with 344 matched token, and 5456 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 5900 tokens : 5.6440677966101696% similarity, with 333 matched token, and 5567 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6000 tokens : 5.166666666666667% similarity, with 310 matched token, and 5690 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6100 tokens : 4.836065573770492% similarity, with 295 matched token, and 5805 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6200 tokens : 4.370967741935484% similarity, with 271 matched token, and 5929 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6300 tokens : 4.222222222222222% similarity, with 266 matched token, and 6034 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6400 tokens : 3.9843749999999996% similarity, with 255 matched token, and 6145 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6500 tokens : 3.8615384615384616% similarity, with 251 matched token, and 6249 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6600 tokens : 3.7575757575757573% similarity, with 248 matched token, and 6352 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6700 tokens : 3.805970149253731% similarity, with 255 matched token, and 6445 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6800 tokens : 3.691176470588235% similarity, with 251 matched token, and 6549 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 6900 tokens : 3.6231884057971016% similarity, with 250 matched token, and 6650 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7000 tokens : 3.571428571428571% similarity, with 250 matched token, and 6750 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7100 tokens : 3.492957746478873% similarity, with 248 matched token, and 6852 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7200 tokens : 3.486111111111111% similarity, with 251 matched token, and 6949 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7300 tokens : 3.493150684931507% similarity, with 255 matched token, and 7045 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7400 tokens : 3.5000000000000004% similarity, with 259 matched token, and 7141 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7500 tokens : 3.4266666666666667% similarity, with 257 matched token, and 7243 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7600 tokens : 3.4342105263157894% similarity, with 261 matched token, and 7339 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7700 tokens : 3.428571428571429% similarity, with 264 matched token, and 7436 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7800 tokens : 3.4230769230769234% similarity, with 267 matched token, and 7533 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 7900 tokens : 3.4050632911392404% similarity, with 269 matched token, and 7631 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8000 tokens : 3.4000000000000004% similarity, with 272 matched token, and 7728 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8100 tokens : 3.4444444444444446% similarity, with 279 matched token, and 7821 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8200 tokens : 3.4268292682926833% similarity, with 281 matched token, and 7919 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8300 tokens : 3.4096385542168677% similarity, with 283 matched token, and 8017 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8400 tokens : 3.392857142857143% similarity, with 285 matched token, and 8115 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8500 tokens : 3.4235294117647057% similarity, with 291 matched token, and 8209 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8600 tokens : 3.4186046511627906% similarity, with 294 matched token, and 8306 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8700 tokens : 3.425287356321839% similarity, with 298 matched token, and 8402 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8800 tokens : 3.4090909090909087% similarity, with 300 matched token, and 8500 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 8900 tokens : 3.4269662921348316% similarity, with 305 matched token, and 8595 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9000 tokens : 3.4111111111111114% similarity, with 307 matched token, and 8693 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9100 tokens : 3.428571428571429% similarity, with 312 matched token, and 8788 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9200 tokens : 3.4239130434782608% similarity, with 315 matched token, and 8885 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9300 tokens : 3.4086021505376345% similarity, with 317 matched token, and 8983 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9400 tokens : 3.393617021276596% similarity, with 319 matched token, and 9081 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9500 tokens : 3.4105263157894736% similarity, with 324 matched token, and 9176 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9600 tokens : 3.4166666666666665% similarity, with 328 matched token, and 9272 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9700 tokens : 3.4123711340206184% similarity, with 331 matched token, and 9369 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9800 tokens : 3.4081632653061225% similarity, with 334 matched token, and 9466 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 9900 tokens : 3.424242424242424% similarity, with 339 matched token, and 9561 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10000 tokens : 3.45% similarity, with 345 matched token, and 9655 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10100 tokens : 3.4653465346534658% similarity, with 350 matched token, and 9750 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10200 tokens : 3.4509803921568625% similarity, with 352 matched token, and 9848 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10300 tokens : 3.4368932038834954% similarity, with 354 matched token, and 9946 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10400 tokens : 3.4423076923076925% similarity, with 358 matched token, and 10042 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10500 tokens : 3.4571428571428573% similarity, with 363 matched token, and 10137 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10600 tokens : 3.443396226415094% similarity, with 365 matched token, and 10235 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10700 tokens : 3.467289719626168% similarity, with 371 matched token, and 10329 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10800 tokens : 3.4722222222222223% similarity, with 375 matched token, and 10425 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 10900 tokens : 3.458715596330275% similarity, with 377 matched token, and 10523 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11000 tokens : 3.481818181818182% similarity, with 383 matched token, and 10617 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11100 tokens : 3.4774774774774775% similarity, with 386 matched token, and 10714 token mismatch\r\n" ] }, { 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validation for 11700 tokens : 3.5042735042735043% similarity, with 410 matched token, and 11290 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11800 tokens : 3.516949152542373% similarity, with 415 matched token, and 11385 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 11900 tokens : 3.521008403361345% similarity, with 419 matched token, and 11481 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12000 tokens : 3.5333333333333337% similarity, with 424 matched token, and 11576 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12100 tokens : 3.5454545454545454% similarity, with 429 matched token, and 11671 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12200 tokens : 3.5327868852459017% similarity, with 431 matched token, and 11769 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12300 tokens : 3.5447154471544713% similarity, with 436 matched token, and 11864 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12400 tokens : 3.540322580645161% similarity, with 439 matched token, and 11961 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12500 tokens : 3.5360000000000005% similarity, with 442 matched token, and 12058 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12600 tokens : 3.5317460317460316% similarity, with 445 matched token, and 12155 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 12700 tokens : 3.543307086614173% similarity, with 450 matched token, and 12250 token mismatch\r\n" ] }, { "name": "stdout", 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tokens : 3.5263157894736845% similarity, with 469 matched token, and 12831 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13400 tokens : 3.544776119402985% similarity, with 475 matched token, and 12925 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13500 tokens : 3.5333333333333337% similarity, with 477 matched token, and 13023 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13600 tokens : 3.5441176470588234% similarity, with 482 matched token, and 13118 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13700 tokens : 3.5328467153284673% similarity, with 484 matched token, and 13216 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13800 tokens : 3.5362318840579707% similarity, with 488 matched token, and 13312 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 13900 tokens : 3.5467625899280577% similarity, with 493 matched token, and 13407 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14000 tokens : 3.564285714285714% similarity, with 499 matched token, and 13501 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14100 tokens : 3.5602836879432624% similarity, with 502 matched token, and 13598 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14200 tokens : 3.549295774647887% similarity, with 504 matched token, and 13696 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 : 3.5448275862068965% similarity, with 514 matched token, and 13986 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14600 tokens : 3.534246575342466% similarity, with 516 matched token, and 14084 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 : 3.5608108108108105% similarity, with 527 matched token, and 14273 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 14900 tokens : 3.557046979865772% similarity, with 530 matched token, and 14370 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15000 tokens : 3.56% similarity, with 534 matched token, and 14466 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15100 tokens : 3.556291390728477% similarity, with 537 matched token, and 14563 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15200 tokens : 3.546052631578948% similarity, with 539 matched token, and 14661 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 : 3.538961038961039% similarity, with 545 matched token, and 14855 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15500 tokens : 3.535483870967742% similarity, with 548 matched token, and 14952 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15600 tokens : 3.5384615384615383% similarity, with 552 matched token, and 15048 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15700 tokens : 3.54140127388535% similarity, with 556 matched token, and 15144 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15800 tokens : 3.537974683544304% similarity, with 559 matched token, and 15241 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 15900 tokens : 3.528301886792453% similarity, with 561 matched token, and 15339 token mismatch\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "## Model validation for 16000 tokens : 3.5249999999999995% similarity, with 564 matched token, and 15436 token mismatch\r\n", "###\r\n", "### Model validation end ###\r\n", "###\r\n" ] } ], "source": [ "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/v5-L6-D4096-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D4096-E0_1-16k.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": 8857.079334, "end_time": "2023-09-03T22:35:26.470472", "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": "2023-09-03T20:07:49.391138", "version": "2.4.0" } }, "nbformat": 4, "nbformat_minor": 5 }