{
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     "end_time": "2023-08-26T02:34:38.824030",
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     "start_time": "2023-08-26T02:34:38.818867",
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    "tags": []
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   "source": [
    "## Custom Experimental Memory benchmarking\n",
    "\n",
    "The following is meant to observe the memory performance in a more verbose CSV logging mode, for the baseline raven models"
   ]
  },
  {
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   "id": "09f5a5c7",
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     "end_time": "2023-08-26T02:40:21.640943",
     "exception": false,
     "start_time": "2023-08-26T02:34:38.828825",
     "status": "completed"
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    "tags": []
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      "--2023-08-26 02:34:39--  https://huggingface.co/picocreator/memory-size-experiment-for-rwkv/resolve/main/RWKV-v5-baseline/BaseV5-C-Tune5.pth\r\n",
      "Resolving huggingface.co (huggingface.co)... 18.154.227.87, 18.154.227.69, 18.154.227.7, ...\r\n",
      "Connecting to huggingface.co (huggingface.co)|18.154.227.87|:443... connected.\r\n",
      "HTTP request sent, awaiting response... 302 Found\r\n",
      "Location: https://cdn-lfs.huggingface.co/repos/cb/ef/cbef09abb2634a3375b28868bffa285226dfeabedec89b28c2fb302221164d66/c1f89b4d653a240f6f165d25988b51f6db36bf8a2388707e3e3242af751575eb?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27BaseV5-C-Tune5.pth%3B+filename%3D%22BaseV5-C-Tune5.pth%22%3B&Expires=1693276479&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjQ3OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy9jYi9lZi9jYmVmMDlhYmIyNjM0YTMzNzViMjg4NjhiZmZhMjg1MjI2ZGZlYWJlZGVjODliMjhjMmZiMzAyMjIxMTY0ZDY2L2MxZjg5YjRkNjUzYTI0MGY2ZjE2NWQyNTk4OGI1MWY2ZGIzNmJmOGEyMzg4NzA3ZTNlMzI0MmFmNzUxNTc1ZWI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=vDIv16Ap5%7E3c3ujNSFm4t7Uan6EM%7EyBvATdknMWzYGv7CGYm4ZWIDybXKF0rR0gLtCgmJK7vbcRKG-0b2SDp4TVr1CoRLHu%7E80OPx1g-ZjZFR-AT%7ETEguI6zpbDhhu7j2fguloXZuiDF0tJEwHS8RPyFNve95Y2rcPnFuhDzAfM3RYqalbcTByRlJ68LG-FNKnfv-7DOGi7w7bZgAbdk8WZ6G2qcPu3n%7Ec556i2yIEMv6T132LrrFywy4WPq82OVm06zIvEZb3iwjQwr5TtIKH6XOm8SVPZ6md%7E1%7EKL1-elryTgnZlaGVdUqcuU2sponysne-DJ7qMcL5560jd1ISg__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
      "--2023-08-26 02:34:39--  https://cdn-lfs.huggingface.co/repos/cb/ef/cbef09abb2634a3375b28868bffa285226dfeabedec89b28c2fb302221164d66/c1f89b4d653a240f6f165d25988b51f6db36bf8a2388707e3e3242af751575eb?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27BaseV5-C-Tune5.pth%3B+filename%3D%22BaseV5-C-Tune5.pth%22%3B&Expires=1693276479&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjQ3OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy9jYi9lZi9jYmVmMDlhYmIyNjM0YTMzNzViMjg4NjhiZmZhMjg1MjI2ZGZlYWJlZGVjODliMjhjMmZiMzAyMjIxMTY0ZDY2L2MxZjg5YjRkNjUzYTI0MGY2ZjE2NWQyNTk4OGI1MWY2ZGIzNmJmOGEyMzg4NzA3ZTNlMzI0MmFmNzUxNTc1ZWI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=vDIv16Ap5%7E3c3ujNSFm4t7Uan6EM%7EyBvATdknMWzYGv7CGYm4ZWIDybXKF0rR0gLtCgmJK7vbcRKG-0b2SDp4TVr1CoRLHu%7E80OPx1g-ZjZFR-AT%7ETEguI6zpbDhhu7j2fguloXZuiDF0tJEwHS8RPyFNve95Y2rcPnFuhDzAfM3RYqalbcTByRlJ68LG-FNKnfv-7DOGi7w7bZgAbdk8WZ6G2qcPu3n%7Ec556i2yIEMv6T132LrrFywy4WPq82OVm06zIvEZb3iwjQwr5TtIKH6XOm8SVPZ6md%7E1%7EKL1-elryTgnZlaGVdUqcuU2sponysne-DJ7qMcL5560jd1ISg__&Key-Pair-Id=KVTP0A1DKRTAX\r\n",
      "Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.36, 108.138.64.121, 108.138.64.49, ...\r\n",
      "Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.36|:443... connected.\r\n",
      "HTTP request sent, awaiting response... "
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      "200 OK\r\n",
      "Length: 6060483063 (5.6G) [binary/octet-stream]\r\n",
      "Saving to: ‘BaseV5-C-Tune5.pth’\r\n",
      "\r\n",
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      "\r\n",
      "2023-08-26 02:36:39 (48.4 MB/s) - ‘BaseV5-C-Tune5.pth’ saved [6060483063/6060483063]\r\n",
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      "Resolving huggingface.co (huggingface.co)... 18.154.227.69, 18.154.227.87, 18.154.227.7, ...\r\n",
      "Connecting to huggingface.co (huggingface.co)|18.154.227.69|:443... connected.\r\n",
      "HTTP request sent, awaiting response... 302 Found\r\n",
      "Location: https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/e886ffafd5148b502a00b1c10c847ca918cec61c4c956956a2fe9811c210029b?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27EWR-1B5-E0_1-mem-ctx-8k.pth%3B+filename%3D%22EWR-1B5-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276599&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjU5OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwL2U4ODZmZmFmZDUxNDhiNTAyYTAwYjFjMTBjODQ3Y2E5MThjZWM2MWM0Yzk1Njk1NmEyZmU5ODExYzIxMDAyOWI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=zfVtb0cJm87656PVcLC4FEP%7EoXzst1U2qYrWzdO85FtKKu8jfKpclXa-2yqe2ZLIXkAwt06aZ0%7EDND9gWd1eW2Y-lzXqEW3Sr6mmo%7EtH7SLGT56gjnRROCkNWxGjqBJK5CAOo6R-vFucmuDrXwahsyEBEy026-rmjiw-Q-iL0Q%7Ex6Q2f9Tx2ZiHGd1dHb0qYV14ePSOsqWsTQnXC7Ek6LhybKDL3N5hUHOkvcrp3UXQEX1uNNW4wD3K-u-C-ejQQoDel6m3h%7EOqzXDUDpofhbc6LP593IcqSbtO4iD1-MfJmFmF6CDOu25HZIQX6e4qPzA8qOhhzg2yvGYXGT3ID1Q__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
      "--2023-08-26 02:36:39--  https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/e886ffafd5148b502a00b1c10c847ca918cec61c4c956956a2fe9811c210029b?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27EWR-1B5-E0_1-mem-ctx-8k.pth%3B+filename%3D%22EWR-1B5-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276599&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjU5OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwL2U4ODZmZmFmZDUxNDhiNTAyYTAwYjFjMTBjODQ3Y2E5MThjZWM2MWM0Yzk1Njk1NmEyZmU5ODExYzIxMDAyOWI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=zfVtb0cJm87656PVcLC4FEP%7EoXzst1U2qYrWzdO85FtKKu8jfKpclXa-2yqe2ZLIXkAwt06aZ0%7EDND9gWd1eW2Y-lzXqEW3Sr6mmo%7EtH7SLGT56gjnRROCkNWxGjqBJK5CAOo6R-vFucmuDrXwahsyEBEy026-rmjiw-Q-iL0Q%7Ex6Q2f9Tx2ZiHGd1dHb0qYV14ePSOsqWsTQnXC7Ek6LhybKDL3N5hUHOkvcrp3UXQEX1uNNW4wD3K-u-C-ejQQoDel6m3h%7EOqzXDUDpofhbc6LP593IcqSbtO4iD1-MfJmFmF6CDOu25HZIQX6e4qPzA8qOhhzg2yvGYXGT3ID1Q__&Key-Pair-Id=KVTP0A1DKRTAX\r\n",
      "Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.111, 108.138.64.36, 108.138.64.121, ...\r\n",
      "Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.111|:443... connected.\r\n"
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     "output_type": "stream",
     "text": [
      "HTTP request sent, awaiting response... "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200 OK\r\n",
      "Length: 6060483163 (5.6G) [binary/octet-stream]\r\n",
      "Saving to: ‘EWR-1B5-E0_1-mem-ctx-8k.pth’\r\n",
      "\r\n",
      "\r",
      "          EWR-1B5-E   0%[                    ]       0  --.-KB/s               "
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     "text": [
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      "         EWR-1B5-E0   0%[                    ]  15.26M  53.7MB/s               "
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     "name": "stdout",
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     "text": [
      "\r",
      "        EWR-1B5-E0_   0%[                    ]  30.52M  47.2MB/s               "
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     "name": "stdout",
     "output_type": "stream",
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      "       EWR-1B5-E0_1   0%[                    ]  45.26M  51.3MB/s               "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-   1%[                    ]  59.56M  55.0MB/s               "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m   1%[                    ]  61.03M  41.4MB/s               "
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me   1%[                    ]  76.29M  41.0MB/s               "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem   1%[                    ]  91.55M  42.0MB/s               "
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-   1%[                    ] 106.81M  41.5MB/s               "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c   2%[                    ] 122.07M  40.8MB/s               "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct   2%[                    ] 137.33M  43.0MB/s    eta 2m 11s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx   2%[                    ] 152.59M  42.6MB/s    eta 2m 11s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-   2%[                    ] 167.85M  43.1MB/s    eta 2m 11s "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8   3%[                    ] 183.10M  43.1MB/s    eta 2m 11s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k   3%[                    ] 198.36M  41.4MB/s    eta 2m 7s  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.   3%[                    ] 217.24M  45.7MB/s    eta 2m 7s  "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p   3%[                    ] 228.87M  44.6MB/s    eta 2m 7s  "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt   4%[                    ] 244.13M  46.5MB/s    eta 2m 7s  "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth   4%[                    ] 259.40M  45.8MB/s    eta 1m 59s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth    4%[                    ] 272.83M  48.3MB/s    eta 1m 59s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth     5%[>                   ] 289.40M  49.6MB/s    eta 1m 59s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth      5%[>                   ] 299.04M  50.6MB/s    eta 1m 59s "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth       5%[>                   ] 305.18M  47.7MB/s    eta 1m 58s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth        5%[>                   ] 323.40M  49.2MB/s    eta 1m 58s "
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth         5%[>                   ] 335.69M  48.8MB/s    eta 1m 58s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth          6%[>                   ] 350.95M  52.4MB/s    eta 1m 58s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth           6%[>                   ] 366.20M  51.8MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth            6%[>                   ] 380.96M  51.7MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth             6%[>                   ] 396.22M  54.1MB/s    eta 1m 53s "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth              7%[>                   ] 405.82M  52.7MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth               7%[>                   ] 411.99M  51.8MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth                7%[>                   ] 427.25M  50.9MB/s    eta 1m 52s "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                 7%[>                   ] 440.68M  51.5MB/s    eta 1m 52s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                  7%[>                   ] 445.94M  50.1MB/s    eta 1m 52s "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                   7%[>                   ] 457.76M  49.2MB/s    eta 1m 52s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                    8%[>                   ] 468.01M  47.4MB/s    eta 1m 52s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                     8%[>                   ] 474.72M  47.8MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                      8%[>                   ] 488.28M  45.7MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E   8%[>                   ] 503.54M  45.1MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW   9%[>                   ] 520.86M  49.6MB/s    eta 1m 53s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR   9%[>                   ] 534.05M  48.0MB/s    eta 1m 50s "
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-   9%[>                   ] 549.31M  47.2MB/s    eta 1m 50s "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1   9%[>                   ] 564.58M  46.6MB/s    eta 1m 50s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  10%[=>                  ] 579.83M  47.6MB/s    eta 1m 50s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  10%[=>                  ] 600.04M  48.5MB/s    eta 1m 46s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  10%[=>                  ] 610.35M  47.0MB/s    eta 1m 46s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  10%[=>                  ] 625.61M  49.4MB/s    eta 1m 46s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  11%[=>                  ] 640.87M  49.3MB/s    eta 1m 46s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  11%[=>                  ] 656.13M  51.7MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  11%[=>                  ] 671.38M  50.9MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  11%[=>                  ] 679.82M  51.2MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  12%[=>                  ] 700.08M  50.8MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  12%[=>                  ] 708.98M  49.6MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  12%[=>                  ] 731.91M  54.1MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  12%[=>                  ] 732.42M  51.2MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  12%[=>                  ] 747.69M  50.9MB/s    eta 1m 45s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  13%[=>                  ] 762.94M  50.1MB/s    eta 1m 44s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  13%[=>                  ] 778.20M  49.8MB/s    eta 1m 44s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  13%[=>                  ] 793.46M  51.0MB/s    eta 1m 44s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  13%[=>                  ] 808.71M  49.5MB/s    eta 1m 44s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  14%[=>                  ] 827.66M  50.4MB/s    eta 1m 40s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  14%[=>                  ] 839.23M  51.9MB/s    eta 1m 40s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  14%[=>                  ] 855.60M  52.8MB/s    eta 1m 40s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  15%[==>                 ] 869.75M  52.1MB/s    eta 1m 40s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  15%[==>                 ] 885.01M  52.1MB/s    eta 99s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   15%[==>                 ] 900.27M  52.5MB/s    eta 99s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    15%[==>                 ] 915.53M  53.4MB/s    eta 99s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     16%[==>                 ] 930.78M  50.5MB/s    eta 99s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      16%[==>                 ] 946.04M  56.3MB/s    eta 97s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       16%[==>                 ] 965.36M  55.8MB/s    eta 97s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        16%[==>                 ] 976.55M  54.0MB/s    eta 97s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         17%[==>                 ] 991.31M  56.4MB/s    eta 97s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          17%[==>                 ] 999.77M  55.2MB/s    eta 97s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           17%[==>                 ]   1007M  52.5MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            17%[==>                 ]   1022M  54.7MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             17%[==>                 ]   1.01G  54.6MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              17%[==>                 ]   1.01G  52.2MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               18%[==>                 ]   1.02G  50.7MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                18%[==>                 ]   1.03G  49.1MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 18%[==>                 ]   1.04G  49.6MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  18%[==>                 ]   1.06G  48.9MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   18%[==>                 ]   1.07G  49.0MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    19%[==>                 ]   1.09G  48.9MB/s    eta 96s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     19%[==>                 ]   1.09G  47.5MB/s    eta 94s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  19%[==>                 ]   1.10G  48.0MB/s    eta 94s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  19%[==>                 ]   1.12G  48.5MB/s    eta 94s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  19%[==>                 ]   1.12G  46.3MB/s    eta 94s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  20%[===>                ]   1.13G  45.1MB/s    eta 94s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  20%[===>                ]   1.13G  42.3MB/s    eta 95s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  20%[===>                ]   1.15G  46.5MB/s    eta 95s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  20%[===>                ]   1.16G  44.8MB/s    eta 95s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  20%[===>                ]   1.17G  46.2MB/s    eta 95s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  20%[===>                ]   1.18G  46.0MB/s    eta 95s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  21%[===>                ]   1.20G  46.0MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  21%[===>                ]   1.21G  47.6MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  21%[===>                ]   1.22G  49.3MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  21%[===>                ]   1.23G  47.6MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  21%[===>                ]   1.24G  46.9MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  22%[===>                ]   1.25G  44.9MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  22%[===>                ]   1.27G  46.0MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  22%[===>                ]   1.27G  43.7MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  22%[===>                ]   1.28G  44.1MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  22%[===>                ]   1.28G  41.9MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  22%[===>                ]   1.29G  45.0MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  23%[===>                ]   1.30G  44.7MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  23%[===>                ]   1.31G  43.0MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  23%[===>                ]   1.33G  43.2MB/s    eta 92s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  23%[===>                ]   1.34G  43.5MB/s    eta 91s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  23%[===>                ]   1.34G  43.0MB/s    eta 91s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  24%[===>                ]   1.36G  42.1MB/s    eta 91s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  24%[===>                ]   1.37G  40.5MB/s    eta 91s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   24%[===>                ]   1.38G  42.4MB/s    eta 90s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    24%[===>                ]   1.40G  41.7MB/s    eta 90s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     25%[====>               ]   1.42G  41.7MB/s    eta 90s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      25%[====>               ]   1.43G  44.2MB/s    eta 90s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       25%[====>               ]   1.45G  43.9MB/s    eta 89s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        25%[====>               ]   1.46G  46.5MB/s    eta 89s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         26%[====>               ]   1.47G  46.8MB/s    eta 89s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          26%[====>               ]   1.47G  46.0MB/s    eta 89s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           26%[====>               ]   1.49G  44.3MB/s    eta 88s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            26%[====>               ]   1.50G  46.1MB/s    eta 88s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             26%[====>               ]   1.50G  44.6MB/s    eta 88s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              26%[====>               ]   1.52G  44.2MB/s    eta 88s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               27%[====>               ]   1.54G  45.1MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                27%[====>               ]   1.55G  45.3MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 27%[====>               ]   1.56G  47.5MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  27%[====>               ]   1.58G  48.6MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   28%[====>               ]   1.59G  47.8MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    28%[====>               ]   1.59G  45.6MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     28%[====>               ]   1.61G  47.5MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  28%[====>               ]   1.62G  47.4MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  28%[====>               ]   1.63G  45.4MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  28%[====>               ]   1.63G  43.7MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  29%[====>               ]   1.64G  41.4MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  29%[====>               ]   1.65G  42.2MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  29%[====>               ]   1.65G  40.5MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  29%[====>               ]   1.67G  42.1MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  29%[====>               ]   1.68G  42.4MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  29%[====>               ]   1.69G  40.8MB/s    eta 87s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  30%[=====>              ]   1.70G  40.0MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  30%[=====>              ]   1.71G  39.0MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  30%[=====>              ]   1.73G  38.6MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  30%[=====>              ]   1.74G  41.0MB/s    eta 86s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  31%[=====>              ]   1.76G  42.1MB/s    eta 84s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  31%[=====>              ]   1.77G  41.7MB/s    eta 84s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  31%[=====>              ]   1.79G  43.6MB/s    eta 84s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  31%[=====>              ]   1.79G  42.7MB/s    eta 84s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  31%[=====>              ]   1.80G  41.9MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  32%[=====>              ]   1.81G  42.9MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  32%[=====>              ]   1.82G  42.1MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  32%[=====>              ]   1.83G  45.0MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  32%[=====>              ]   1.85G  45.1MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  32%[=====>              ]   1.85G  44.1MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  32%[=====>              ]   1.85G  43.1MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  33%[=====>              ]   1.88G  45.2MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  33%[=====>              ]   1.89G  45.9MB/s    eta 83s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  33%[=====>              ]   1.91G  48.4MB/s    eta 81s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   34%[=====>              ]   1.92G  44.6MB/s    eta 81s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    34%[=====>              ]   1.94G  43.9MB/s    eta 81s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     34%[=====>              ]   1.95G  47.1MB/s    eta 81s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      34%[=====>              ]   1.97G  44.6MB/s    eta 80s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       35%[======>             ]   1.98G  45.5MB/s    eta 80s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        35%[======>             ]   1.99G  46.7MB/s    eta 80s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         35%[======>             ]   2.00G  45.3MB/s    eta 80s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          35%[======>             ]   2.01G  46.9MB/s    eta 79s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           35%[======>             ]   2.03G  48.4MB/s    eta 79s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            36%[======>             ]   2.04G  48.0MB/s    eta 79s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             36%[======>             ]   2.06G  49.8MB/s    eta 79s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              36%[======>             ]   2.07G  51.1MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               36%[======>             ]   2.08G  48.5MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                36%[======>             ]   2.09G  45.8MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 37%[======>             ]   2.10G  47.9MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  37%[======>             ]   2.12G  45.0MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   37%[======>             ]   2.13G  49.3MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    38%[======>             ]   2.15G  49.9MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     38%[======>             ]   2.16G  46.4MB/s    eta 77s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  38%[======>             ]   2.17G  48.9MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  38%[======>             ]   2.17G  46.8MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  38%[======>             ]   2.19G  47.9MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  39%[======>             ]   2.20G  45.5MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  39%[======>             ]   2.21G  48.0MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  39%[======>             ]   2.23G  48.5MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  39%[======>             ]   2.24G  50.6MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  39%[======>             ]   2.25G  47.2MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  40%[=======>            ]   2.26G  48.0MB/s    eta 75s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  40%[=======>            ]   2.28G  47.9MB/s    eta 73s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  40%[=======>            ]   2.29G  47.0MB/s    eta 73s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  40%[=======>            ]   2.29G  47.3MB/s    eta 73s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  40%[=======>            ]   2.31G  43.4MB/s    eta 73s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  41%[=======>            ]   2.32G  47.4MB/s    eta 72s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  41%[=======>            ]   2.34G  47.1MB/s    eta 72s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  41%[=======>            ]   2.35G  46.6MB/s    eta 72s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  41%[=======>            ]   2.36G  45.7MB/s    eta 72s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  41%[=======>            ]   2.37G  45.2MB/s    eta 72s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  42%[=======>            ]   2.38G  48.6MB/s    eta 71s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  42%[=======>            ]   2.39G  47.5MB/s    eta 71s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  42%[=======>            ]   2.40G  48.5MB/s    eta 71s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  42%[=======>            ]   2.41G  49.6MB/s    eta 71s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  42%[=======>            ]   2.42G  48.6MB/s    eta 71s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  43%[=======>            ]   2.43G  44.7MB/s    eta 70s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  43%[=======>            ]   2.44G  44.3MB/s    eta 70s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  43%[=======>            ]   2.44G  40.6MB/s    eta 70s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  43%[=======>            ]   2.46G  45.1MB/s    eta 70s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   43%[=======>            ]   2.47G  44.3MB/s    eta 70s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    43%[=======>            ]   2.48G  42.8MB/s    eta 69s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     44%[=======>            ]   2.50G  47.2MB/s    eta 69s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      44%[=======>            ]   2.51G  45.0MB/s    eta 69s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       44%[=======>            ]   2.52G  43.9MB/s    eta 69s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        44%[=======>            ]   2.53G  45.1MB/s    eta 69s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         44%[=======>            ]   2.53G  42.7MB/s    eta 68s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          45%[========>           ]   2.55G  43.0MB/s    eta 68s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           45%[========>           ]   2.56G  42.2MB/s    eta 68s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            45%[========>           ]   2.58G  42.9MB/s    eta 68s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             45%[========>           ]   2.59G  42.1MB/s    eta 67s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              46%[========>           ]   2.61G  45.3MB/s    eta 67s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               46%[========>           ]   2.61G  44.3MB/s    eta 67s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                46%[========>           ]   2.62G  45.4MB/s    eta 67s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 46%[========>           ]   2.63G  45.4MB/s    eta 66s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  46%[========>           ]   2.64G  44.9MB/s    eta 66s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   46%[========>           ]   2.65G  43.1MB/s    eta 66s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    47%[========>           ]   2.67G  44.7MB/s    eta 66s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     47%[========>           ]   2.68G  45.1MB/s    eta 65s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  47%[========>           ]   2.69G  45.7MB/s    eta 65s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  47%[========>           ]   2.70G  43.9MB/s    eta 65s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  48%[========>           ]   2.71G  45.4MB/s    eta 65s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  48%[========>           ]   2.73G  45.0MB/s    eta 65s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  48%[========>           ]   2.73G  46.5MB/s    eta 64s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  48%[========>           ]   2.74G  43.5MB/s    eta 64s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  48%[========>           ]   2.76G  46.1MB/s    eta 64s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  49%[========>           ]   2.77G  46.7MB/s    eta 64s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  49%[========>           ]   2.79G  47.8MB/s    eta 64s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  49%[========>           ]   2.80G  49.6MB/s    eta 62s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  49%[========>           ]   2.81G  50.9MB/s    eta 62s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  50%[=========>          ]   2.83G  50.0MB/s    eta 62s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  50%[=========>          ]   2.83G  49.9MB/s    eta 62s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  50%[=========>          ]   2.85G  53.8MB/s    eta 62s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  50%[=========>          ]   2.86G  53.4MB/s    eta 60s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  50%[=========>          ]   2.88G  55.7MB/s    eta 60s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  51%[=========>          ]   2.89G  54.8MB/s    eta 60s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  51%[=========>          ]   2.91G  55.1MB/s    eta 60s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  51%[=========>          ]   2.92G  54.4MB/s    eta 59s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  51%[=========>          ]   2.93G  54.2MB/s    eta 59s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  52%[=========>          ]   2.94G  54.7MB/s    eta 59s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  52%[=========>          ]   2.95G  53.6MB/s    eta 59s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  52%[=========>          ]   2.96G  55.7MB/s    eta 58s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  52%[=========>          ]   2.98G  55.7MB/s    eta 58s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  53%[=========>          ]   2.99G  54.7MB/s    eta 58s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  53%[=========>          ]   3.00G  52.8MB/s    eta 58s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  53%[=========>          ]   3.01G  53.8MB/s    eta 58s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   53%[=========>          ]   3.02G  52.5MB/s    eta 57s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    53%[=========>          ]   3.02G  49.7MB/s    eta 57s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     53%[=========>          ]   3.04G  48.6MB/s    eta 57s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      54%[=========>          ]   3.05G  50.4MB/s    eta 57s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       54%[=========>          ]   3.07G  49.1MB/s    eta 56s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        54%[=========>          ]   3.08G  49.2MB/s    eta 56s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         54%[=========>          ]   3.10G  50.0MB/s    eta 56s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          54%[=========>          ]   3.10G  46.5MB/s    eta 56s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           55%[==========>         ]   3.11G  45.5MB/s    eta 55s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            55%[==========>         ]   3.13G  47.1MB/s    eta 55s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             55%[==========>         ]   3.14G  46.0MB/s    eta 55s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              55%[==========>         ]   3.16G  47.8MB/s    eta 55s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               56%[==========>         ]   3.17G  45.3MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                56%[==========>         ]   3.19G  45.7MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 56%[==========>         ]   3.19G  43.6MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  56%[==========>         ]   3.20G  44.2MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   57%[==========>         ]   3.22G  47.1MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    57%[==========>         ]   3.23G  48.0MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     57%[==========>         ]   3.23G  43.4MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  57%[==========>         ]   3.25G  42.8MB/s    eta 53s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  57%[==========>         ]   3.25G  42.2MB/s    eta 52s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  57%[==========>         ]   3.26G  41.6MB/s    eta 52s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  58%[==========>         ]   3.28G  41.8MB/s    eta 52s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  58%[==========>         ]   3.29G  44.9MB/s    eta 52s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  58%[==========>         ]   3.31G  44.6MB/s    eta 51s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  58%[==========>         ]   3.32G  44.7MB/s    eta 51s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  59%[==========>         ]   3.34G  43.9MB/s    eta 51s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  59%[==========>         ]   3.34G  41.9MB/s    eta 51s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  59%[==========>         ]   3.35G  43.1MB/s    eta 51s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  59%[==========>         ]   3.37G  45.3MB/s    eta 49s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  59%[==========>         ]   3.38G  45.5MB/s    eta 49s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  60%[===========>        ]   3.40G  47.5MB/s    eta 49s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  60%[===========>        ]   3.41G  46.5MB/s    eta 49s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  60%[===========>        ]   3.41G  46.4MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  60%[===========>        ]   3.42G  46.2MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  60%[===========>        ]   3.43G  46.6MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  60%[===========>        ]   3.44G  49.0MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  61%[===========>        ]   3.44G  47.1MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  61%[===========>        ]   3.46G  46.2MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  61%[===========>        ]   3.47G  43.1MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  61%[===========>        ]   3.49G  46.7MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  62%[===========>        ]   3.50G  46.7MB/s    eta 48s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  62%[===========>        ]   3.51G  46.2MB/s    eta 47s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  62%[===========>        ]   3.52G  45.0MB/s    eta 47s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  62%[===========>        ]   3.52G  43.2MB/s    eta 47s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  62%[===========>        ]   3.54G  43.8MB/s    eta 47s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   62%[===========>        ]   3.55G  41.5MB/s    eta 47s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    63%[===========>        ]   3.56G  43.9MB/s    eta 45s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     63%[===========>        ]   3.58G  44.9MB/s    eta 45s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      63%[===========>        ]   3.59G  47.1MB/s    eta 45s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       63%[===========>        ]   3.60G  48.7MB/s    eta 45s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        63%[===========>        ]   3.61G  46.4MB/s    eta 45s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         64%[===========>        ]   3.62G  46.6MB/s    eta 44s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          64%[===========>        ]   3.64G  50.5MB/s    eta 44s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           64%[===========>        ]   3.65G  50.5MB/s    eta 44s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            64%[===========>        ]   3.67G  50.5MB/s    eta 44s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             65%[============>       ]   3.68G  49.1MB/s    eta 43s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              65%[============>       ]   3.68G  47.1MB/s    eta 43s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               65%[============>       ]   3.70G  48.0MB/s    eta 43s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                65%[============>       ]   3.71G  49.3MB/s    eta 43s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 65%[============>       ]   3.72G  50.3MB/s    eta 43s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  66%[============>       ]   3.73G  49.9MB/s    eta 42s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   66%[============>       ]   3.74G  48.8MB/s    eta 42s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    66%[============>       ]   3.75G  48.3MB/s    eta 42s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     66%[============>       ]   3.76G  45.4MB/s    eta 42s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  66%[============>       ]   3.77G  45.6MB/s    eta 41s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  67%[============>       ]   3.78G  46.1MB/s    eta 41s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  67%[============>       ]   3.80G  45.2MB/s    eta 41s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  67%[============>       ]   3.80G  43.6MB/s    eta 41s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  67%[============>       ]   3.81G  41.9MB/s    eta 40s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  67%[============>       ]   3.83G  40.6MB/s    eta 40s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  68%[============>       ]   3.84G  44.4MB/s    eta 40s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  68%[============>       ]   3.86G  45.4MB/s    eta 40s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  68%[============>       ]   3.88G  50.2MB/s    eta 40s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  68%[============>       ]   3.89G  46.3MB/s    eta 38s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  69%[============>       ]   3.90G  46.5MB/s    eta 38s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  69%[============>       ]   3.92G  48.8MB/s    eta 38s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  69%[============>       ]   3.93G  49.1MB/s    eta 38s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  69%[============>       ]   3.93G  48.3MB/s    eta 38s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  69%[============>       ]   3.95G  48.3MB/s    eta 37s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  70%[=============>      ]   3.96G  49.7MB/s    eta 37s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  70%[=============>      ]   3.96G  48.1MB/s    eta 37s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  70%[=============>      ]   3.98G  47.6MB/s    eta 37s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  70%[=============>      ]   3.99G  48.6MB/s    eta 36s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  71%[=============>      ]   4.01G  49.4MB/s    eta 36s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  71%[=============>      ]   4.02G  49.5MB/s    eta 36s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  71%[=============>      ]   4.04G  46.5MB/s    eta 36s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  71%[=============>      ]   4.05G  42.9MB/s    eta 35s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  72%[=============>      ]   4.07G  46.0MB/s    eta 35s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  72%[=============>      ]   4.07G  44.0MB/s    eta 35s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  72%[=============>      ]   4.08G  43.1MB/s    eta 35s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  72%[=============>      ]   4.10G  43.5MB/s    eta 34s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   72%[=============>      ]   4.11G  43.1MB/s    eta 34s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    73%[=============>      ]   4.13G  44.1MB/s    eta 34s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     73%[=============>      ]   4.14G  45.3MB/s    eta 34s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      73%[=============>      ]   4.15G  46.9MB/s    eta 33s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       73%[=============>      ]   4.16G  45.4MB/s    eta 33s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        73%[=============>      ]   4.17G  46.0MB/s    eta 33s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         74%[=============>      ]   4.18G  44.3MB/s    eta 33s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          74%[=============>      ]   4.19G  46.5MB/s    eta 33s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           74%[=============>      ]   4.20G  44.3MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            74%[=============>      ]   4.21G  46.6MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             74%[=============>      ]   4.22G  44.1MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              74%[=============>      ]   4.23G  45.2MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               75%[==============>     ]   4.25G  41.5MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                75%[==============>     ]   4.26G  45.1MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 75%[==============>     ]   4.28G  44.1MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  76%[==============>     ]   4.29G  44.3MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   76%[==============>     ]   4.30G  45.3MB/s    eta 31s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    76%[==============>     ]   4.31G  44.1MB/s    eta 29s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     76%[==============>     ]   4.32G  44.3MB/s    eta 29s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  76%[==============>     ]   4.34G  45.4MB/s    eta 29s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  77%[==============>     ]   4.35G  46.0MB/s    eta 29s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  77%[==============>     ]   4.35G  43.9MB/s    eta 28s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  77%[==============>     ]   4.37G  43.3MB/s    eta 28s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  77%[==============>     ]   4.38G  43.9MB/s    eta 28s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  77%[==============>     ]   4.38G  42.2MB/s    eta 28s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  77%[==============>     ]   4.40G  45.9MB/s    eta 28s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  78%[==============>     ]   4.41G  45.8MB/s    eta 27s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  78%[==============>     ]   4.42G  46.6MB/s    eta 27s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  78%[==============>     ]   4.42G  46.2MB/s    eta 27s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  78%[==============>     ]   4.44G  47.7MB/s    eta 27s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  78%[==============>     ]   4.46G  48.9MB/s    eta 27s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  79%[==============>     ]   4.47G  48.0MB/s    eta 26s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  79%[==============>     ]   4.48G  48.5MB/s    eta 26s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  79%[==============>     ]   4.50G  48.0MB/s    eta 26s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  79%[==============>     ]   4.50G  44.6MB/s    eta 26s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  79%[==============>     ]   4.51G  46.0MB/s    eta 26s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  79%[==============>     ]   4.51G  43.7MB/s    eta 25s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  80%[===============>    ]   4.53G  44.2MB/s    eta 25s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  80%[===============>    ]   4.54G  44.6MB/s    eta 25s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  80%[===============>    ]   4.54G  46.8MB/s    eta 25s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  80%[===============>    ]   4.56G  45.8MB/s    eta 25s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  81%[===============>    ]   4.57G  47.2MB/s    eta 23s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  81%[===============>    ]   4.59G  44.7MB/s    eta 23s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  81%[===============>    ]   4.60G  47.0MB/s    eta 23s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  81%[===============>    ]   4.60G  43.6MB/s    eta 23s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  81%[===============>    ]   4.62G  44.9MB/s    eta 22s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   82%[===============>    ]   4.63G  44.6MB/s    eta 22s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    82%[===============>    ]   4.65G  44.6MB/s    eta 22s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     82%[===============>    ]   4.65G  43.2MB/s    eta 22s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      82%[===============>    ]   4.66G  43.4MB/s    eta 22s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       82%[===============>    ]   4.68G  43.7MB/s    eta 21s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        83%[===============>    ]   4.69G  46.2MB/s    eta 21s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         83%[===============>    ]   4.71G  48.1MB/s    eta 21s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          83%[===============>    ]   4.71G  47.0MB/s    eta 21s    "
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           83%[===============>    ]   4.72G  47.7MB/s    eta 21s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            83%[===============>    ]   4.74G  47.5MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             83%[===============>    ]   4.74G  44.0MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              84%[===============>    ]   4.75G  45.3MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               84%[===============>    ]   4.77G  46.8MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                84%[===============>    ]   4.78G  44.9MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 84%[===============>    ]   4.79G  46.0MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  85%[================>   ]   4.81G  47.6MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   85%[================>   ]   4.81G  46.5MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    85%[================>   ]   4.83G  46.0MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     85%[================>   ]   4.84G  47.9MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  E  86%[================>   ]   4.86G  48.0MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 EW  86%[================>   ]   4.87G  48.7MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                EWR  86%[================>   ]   4.89G  48.7MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               EWR-  86%[================>   ]   4.90G  49.1MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              EWR-1  87%[================>   ]   4.92G  50.8MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             EWR-1B  87%[================>   ]   4.92G  47.8MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            EWR-1B5  87%[================>   ]   4.93G  48.6MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           EWR-1B5-  87%[================>   ]   4.94G  49.6MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          EWR-1B5-E  87%[================>   ]   4.95G  49.1MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         EWR-1B5-E0  87%[================>   ]   4.96G  50.0MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        EWR-1B5-E0_  88%[================>   ]   4.98G  49.0MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       EWR-1B5-E0_1  88%[================>   ]   4.99G  51.2MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      EWR-1B5-E0_1-  88%[================>   ]   4.99G  49.9MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     EWR-1B5-E0_1-m  88%[================>   ]   5.01G  48.0MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    EWR-1B5-E0_1-me  88%[================>   ]   5.01G  44.2MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   EWR-1B5-E0_1-mem  88%[================>   ]   5.02G  46.2MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  EWR-1B5-E0_1-mem-  89%[================>   ]   5.04G  46.2MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " EWR-1B5-E0_1-mem-c  89%[================>   ]   5.05G  44.5MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "EWR-1B5-E0_1-mem-ct  89%[================>   ]   5.06G  42.6MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "WR-1B5-E0_1-mem-ctx  89%[================>   ]   5.07G  41.4MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "R-1B5-E0_1-mem-ctx-  90%[=================>  ]   5.08G  43.1MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-1B5-E0_1-mem-ctx-8  90%[=================>  ]   5.09G  42.3MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1B5-E0_1-mem-ctx-8k  90%[=================>  ]   5.10G  40.3MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "B5-E0_1-mem-ctx-8k.  90%[=================>  ]   5.11G  40.0MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-E0_1-mem-ctx-8k.p  90%[=================>  ]   5.12G  42.3MB/s    eta 12s    "
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    },
    {
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      "EWR-1B5-E0_1-mem-ct 100%[===================>]   5.64G  40.8MB/s    in 2m 4s   \r\n",
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      "2023-08-26 02:38:44 (46.5 MB/s) - ‘EWR-1B5-E0_1-mem-ctx-8k.pth’ saved [6060483163/6060483163]\r\n",
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      "Connecting to huggingface.co (huggingface.co)|18.154.227.67|:443... connected.\r\n",
      "HTTP request sent, awaiting response... 302 Found\r\n",
      "Location: https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/87b64f45529c2049a8b044b7e7c0338a9ede8ba8259d17d987d8e73f8a34fd75?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5-L6-D2048-E0_1-mem-ctx-8k.pth%3B+filename%3D%22v5-L6-D2048-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276724&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjcyNH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwLzg3YjY0ZjQ1NTI5YzIwNDlhOGIwNDRiN2U3YzAzMzhhOWVkZThiYTgyNTlkMTdkOTg3ZDhlNzNmOGEzNGZkNzU%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=TMWts2O7pLjRRWTYNnlYbuc4j1urgh-ZpznKUQOaTG%7EHuFddHG6WUvAohDWB7ktWmjbM2neO0MZc6BjRnJDVIKcdZj3nFHJToDcJLFyM4ipQ0en7N7XaQTOgLl1O%7EDQ5NqVQe-gy3sQIx4-yrT2SiKxJxLGnqmrpP50Bl9f8Ueq52Uqgqz8OTRoj8u8YQeyEJ59ev9nl-Z4VojF5GKMhaCXckRj1t3Bkpq7lAWTtLsH456vFnqVsQtq3aoD8h0abK7eZRryhl6kaoSyabongrdTgDWff7NzJ4sG3KqqCNBAz3yhI6hSl0iGMnrWe6HmLq-TzvcrmCy1rf26m94Sb%7EQ__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
      "--2023-08-26 02:38:44--  https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/87b64f45529c2049a8b044b7e7c0338a9ede8ba8259d17d987d8e73f8a34fd75?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5-L6-D2048-E0_1-mem-ctx-8k.pth%3B+filename%3D%22v5-L6-D2048-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276724&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3NjcyNH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwLzg3YjY0ZjQ1NTI5YzIwNDlhOGIwNDRiN2U3YzAzMzhhOWVkZThiYTgyNTlkMTdkOTg3ZDhlNzNmOGEzNGZkNzU%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=TMWts2O7pLjRRWTYNnlYbuc4j1urgh-ZpznKUQOaTG%7EHuFddHG6WUvAohDWB7ktWmjbM2neO0MZc6BjRnJDVIKcdZj3nFHJToDcJLFyM4ipQ0en7N7XaQTOgLl1O%7EDQ5NqVQe-gy3sQIx4-yrT2SiKxJxLGnqmrpP50Bl9f8Ueq52Uqgqz8OTRoj8u8YQeyEJ59ev9nl-Z4VojF5GKMhaCXckRj1t3Bkpq7lAWTtLsH456vFnqVsQtq3aoD8h0abK7eZRryhl6kaoSyabongrdTgDWff7NzJ4sG3KqqCNBAz3yhI6hSl0iGMnrWe6HmLq-TzvcrmCy1rf26m94Sb%7EQ__&Key-Pair-Id=KVTP0A1DKRTAX\r\n",
      "Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.36, 108.138.64.111, 108.138.64.121, ...\r\n",
      "Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.36|:443... connected.\r\n"
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     "text": [
      "HTTP request sent, awaiting response... "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Saving to: ‘v5-L6-D2048-E0_1-mem-ctx-8k.pth’\r\n",
      "\r\n",
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      "          v5-L6-D20   0%[                    ]       0  --.-KB/s               "
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      "   v5-L6-D2048-E0_1   8%[>                   ]  89.73M  49.4MB/s               "
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     "name": "stdout",
     "output_type": "stream",
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      "\r",
      " v5-L6-D2048-E0_1-m  10%[=>                  ] 106.81M  46.6MB/s               "
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    {
     "name": "stdout",
     "output_type": "stream",
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      "\r",
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     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
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     "name": "stdout",
     "output_type": "stream",
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      "\r",
      "-L6-D2048-E0_1-mem-  14%[=>                  ] 149.56M  50.9MB/s               "
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     "name": "stdout",
     "output_type": "stream",
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      "\r",
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     "output_type": "stream",
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    {
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     "output_type": "stream",
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      "\r",
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      "\r",
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    {
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     "output_type": "stream",
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      "\r",
      "-E0_1-mem-ctx-8k.pt  22%[===>                ] 228.87M  40.7MB/s    eta 19s    "
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      "_1-mem-ctx-8k.pth    25%[====>               ] 258.89M  39.7MB/s    eta 18s    "
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      "1-mem-ctx-8k.pth     25%[====>               ] 262.29M  39.8MB/s    eta 18s    "
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      "-mem-ctx-8k.pth      26%[====>               ] 274.14M  38.9MB/s    eta 18s    "
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     "output_type": "stream",
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      "\r\n",
      "2023-08-26 02:39:06 (46.5 MB/s) - ‘v5-L6-D2048-E0_1-mem-ctx-8k.pth’ saved [1066508293/1066508293]\r\n",
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      "Resolving huggingface.co (huggingface.co)... 18.154.227.7, 18.154.227.69, 18.154.227.87, ...\r\n",
      "Connecting to huggingface.co (huggingface.co)|18.154.227.7|:443... connected.\r\n",
      "HTTP request sent, awaiting response... 302 Found\r\n",
      "Location: https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/5f93b1f6f6f7fb2193130a3a51f8ed41a0541b1b5eab100ca9318c8218d481fa?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5-L6-D4096-E0_1-mem-ctx-8k.pth%3B+filename%3D%22v5-L6-D4096-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276746&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3Njc0Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwLzVmOTNiMWY2ZjZmN2ZiMjE5MzEzMGEzYTUxZjhlZDQxYTA1NDFiMWI1ZWFiMTAwY2E5MzE4YzgyMThkNDgxZmE%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=Sa4jGmvseN17gAwSeZpsAapjZ2spBM-VqL2CIpKHLH9S4YtCr%7EVKZHRB%7ERHKeGnSXuYBB2jpZV7X6umnv4d-p8rm3zg60SqKc084odU2%7EVIzsFBi7L0O1Xf8xBR7LRJm0xwzpbSMmKHnP0nZvGTmhOKsiryzWXsV%7E%7ElOA23RKNw9uSmHwZlKVULHwtou1u7nWuSlkOUOgR-jgo%7E047IPWhG3x8SibFT3Hl0ZDbabiYS4hx02ZU9DcJOgY%7Ea%7Evd-b3nKWFOpKX7DD8d%7E-3CEzWAhRxX96xmhaLL921uLpTiL7ZSk2r%7Etxbhyu-7OBfHr2sWW4kaUBNCrIlF3UHAK9HQ__&Key-Pair-Id=KVTP0A1DKRTAX [following]\r\n",
      "--2023-08-26 02:39:06--  https://cdn-lfs.huggingface.co/repos/69/e5/69e55a6299441d3070ee1690632f8d12440ea004de9c6a51b873ccd49ea78ea0/5f93b1f6f6f7fb2193130a3a51f8ed41a0541b1b5eab100ca9318c8218d481fa?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27v5-L6-D4096-E0_1-mem-ctx-8k.pth%3B+filename%3D%22v5-L6-D4096-E0_1-mem-ctx-8k.pth%22%3B&Expires=1693276746&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY5MzI3Njc0Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82OS9lNS82OWU1NWE2Mjk5NDQxZDMwNzBlZTE2OTA2MzJmOGQxMjQ0MGVhMDA0ZGU5YzZhNTFiODczY2NkNDllYTc4ZWEwLzVmOTNiMWY2ZjZmN2ZiMjE5MzEzMGEzYTUxZjhlZDQxYTA1NDFiMWI1ZWFiMTAwY2E5MzE4YzgyMThkNDgxZmE%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=Sa4jGmvseN17gAwSeZpsAapjZ2spBM-VqL2CIpKHLH9S4YtCr%7EVKZHRB%7ERHKeGnSXuYBB2jpZV7X6umnv4d-p8rm3zg60SqKc084odU2%7EVIzsFBi7L0O1Xf8xBR7LRJm0xwzpbSMmKHnP0nZvGTmhOKsiryzWXsV%7E%7ElOA23RKNw9uSmHwZlKVULHwtou1u7nWuSlkOUOgR-jgo%7E047IPWhG3x8SibFT3Hl0ZDbabiYS4hx02ZU9DcJOgY%7Ea%7Evd-b3nKWFOpKX7DD8d%7E-3CEzWAhRxX96xmhaLL921uLpTiL7ZSk2r%7Etxbhyu-7OBfHr2sWW4kaUBNCrIlF3UHAK9HQ__&Key-Pair-Id=KVTP0A1DKRTAX\r\n",
      "Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.49, 108.138.64.121, 108.138.64.111, ...\r\n",
      "Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.49|:443... connected.\r\n",
      "HTTP request sent, awaiting response... "
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     "text": [
      "200 OK\r\n",
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      "Saving to: ‘v5-L6-D4096-E0_1-mem-ctx-8k.pth’\r\n",
      "\r\n",
      "\r",
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    {
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     "output_type": "stream",
     "text": [
      "\r",
      "   v5-L6-D4096-E0_1  73%[=============>      ]   2.35G  37.8MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  v5-L6-D4096-E0_1-  73%[=============>      ]   2.37G  38.3MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " v5-L6-D4096-E0_1-m  74%[=============>      ]   2.38G  38.8MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "v5-L6-D4096-E0_1-me  74%[=============>      ]   2.38G  37.8MB/s    eta 20s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-L6-D4096-E0_1-mem  74%[=============>      ]   2.39G  36.1MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-L6-D4096-E0_1-mem-  74%[=============>      ]   2.39G  33.7MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "L6-D4096-E0_1-mem-c  74%[=============>      ]   2.40G  31.9MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "6-D4096-E0_1-mem-ct  75%[==============>     ]   2.41G  35.3MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-D4096-E0_1-mem-ctx  75%[==============>     ]   2.42G  35.0MB/s    eta 19s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "D4096-E0_1-mem-ctx-  76%[==============>     ]   2.44G  37.0MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "4096-E0_1-mem-ctx-8  76%[==============>     ]   2.44G  37.9MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "096-E0_1-mem-ctx-8k  76%[==============>     ]   2.45G  38.0MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "96-E0_1-mem-ctx-8k.  76%[==============>     ]   2.46G  37.8MB/s    eta 18s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "6-E0_1-mem-ctx-8k.p  77%[==============>     ]   2.47G  35.6MB/s    eta 17s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  77%[==============>     ]   2.49G  38.1MB/s    eta 17s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  78%[==============>     ]   2.50G  38.3MB/s    eta 17s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   78%[==============>     ]   2.52G  37.4MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    79%[==============>     ]   2.53G  37.6MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     79%[==============>     ]   2.55G  41.2MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      79%[==============>     ]   2.56G  44.1MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       79%[==============>     ]   2.56G  42.0MB/s    eta 16s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        80%[===============>    ]   2.58G  45.3MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         80%[===============>    ]   2.58G  42.2MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          80%[===============>    ]   2.59G  43.5MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           81%[===============>    ]   2.61G  42.2MB/s    eta 15s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "tx-8k.pth            81%[===============>    ]   2.62G  42.3MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "x-8k.pth             82%[===============>    ]   2.63G  42.5MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-8k.pth              82%[===============>    ]   2.64G  42.9MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "8k.pth               82%[===============>    ]   2.65G  43.7MB/s    eta 14s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "k.pth                83%[===============>    ]   2.67G  43.7MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      ".pth                 83%[===============>    ]   2.68G  43.7MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "pth                  84%[===============>    ]   2.70G  45.5MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "th                   84%[===============>    ]   2.71G  46.1MB/s    eta 13s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "h                    84%[===============>    ]   2.71G  43.6MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                     84%[===============>    ]   2.72G  39.0MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                  v  85%[================>   ]   2.73G  38.5MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                 v5  85%[================>   ]   2.74G  41.7MB/s    eta 12s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "                v5-  85%[================>   ]   2.76G  43.1MB/s    eta 11s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "               v5-L  86%[================>   ]   2.76G  41.3MB/s    eta 11s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "              v5-L6  86%[================>   ]   2.77G  41.7MB/s    eta 11s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "             v5-L6-  86%[================>   ]   2.79G  42.9MB/s    eta 11s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "            v5-L6-D  87%[================>   ]   2.80G  44.8MB/s    eta 11s    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "           v5-L6-D4  87%[================>   ]   2.82G  44.5MB/s    eta 9s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "          v5-L6-D40  88%[================>   ]   2.83G  44.5MB/s    eta 9s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "         v5-L6-D409  88%[================>   ]   2.84G  46.0MB/s    eta 9s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "        v5-L6-D4096  88%[================>   ]   2.85G  45.6MB/s    eta 9s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "       v5-L6-D4096-  89%[================>   ]   2.86G  43.9MB/s    eta 9s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "      v5-L6-D4096-E  89%[================>   ]   2.86G  40.3MB/s    eta 8s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     v5-L6-D4096-E0  89%[================>   ]   2.88G  42.3MB/s    eta 8s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "    v5-L6-D4096-E0_  90%[=================>  ]   2.89G  45.0MB/s    eta 8s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   v5-L6-D4096-E0_1  90%[=================>  ]   2.91G  46.7MB/s    eta 8s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  v5-L6-D4096-E0_1-  91%[=================>  ]   2.92G  48.8MB/s    eta 7s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " v5-L6-D4096-E0_1-m  91%[=================>  ]   2.93G  46.9MB/s    eta 7s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "v5-L6-D4096-E0_1-me  91%[=================>  ]   2.94G  47.1MB/s    eta 7s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "5-L6-D4096-E0_1-mem  92%[=================>  ]   2.95G  44.5MB/s    eta 7s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-L6-D4096-E0_1-mem-  92%[=================>  ]   2.96G  43.8MB/s    eta 6s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "L6-D4096-E0_1-mem-c  92%[=================>  ]   2.96G  42.3MB/s    eta 6s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "6-D4096-E0_1-mem-ct  92%[=================>  ]   2.98G  38.5MB/s    eta 6s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-D4096-E0_1-mem-ctx  93%[=================>  ]   3.00G  42.0MB/s    eta 6s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "D4096-E0_1-mem-ctx-  93%[=================>  ]   3.01G  40.5MB/s    eta 5s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "4096-E0_1-mem-ctx-8  93%[=================>  ]   3.01G  41.0MB/s    eta 5s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "096-E0_1-mem-ctx-8k  94%[=================>  ]   3.02G  40.6MB/s    eta 5s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "96-E0_1-mem-ctx-8k.  94%[=================>  ]   3.04G  43.9MB/s    eta 5s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "6-E0_1-mem-ctx-8k.p  95%[==================> ]   3.05G  42.7MB/s    eta 4s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-E0_1-mem-ctx-8k.pt  95%[==================> ]   3.07G  44.7MB/s    eta 4s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "E0_1-mem-ctx-8k.pth  96%[==================> ]   3.08G  43.9MB/s    eta 4s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "0_1-mem-ctx-8k.pth   96%[==================> ]   3.10G  45.7MB/s    eta 4s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "_1-mem-ctx-8k.pth    96%[==================> ]   3.10G  42.0MB/s    eta 2s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1-mem-ctx-8k.pth     97%[==================> ]   3.11G  41.8MB/s    eta 2s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-mem-ctx-8k.pth      97%[==================> ]   3.13G  43.7MB/s    eta 2s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "mem-ctx-8k.pth       98%[==================> ]   3.14G  47.8MB/s    eta 2s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "em-ctx-8k.pth        98%[==================> ]   3.16G  49.4MB/s    eta 2s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "m-ctx-8k.pth         99%[==================> ]   3.17G  51.0MB/s    eta 1s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "-ctx-8k.pth          99%[==================> ]   3.19G  51.4MB/s    eta 1s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "ctx-8k.pth           99%[==================> ]   3.20G  50.9MB/s    eta 1s     "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "v5-L6-D4096-E0_1-me 100%[===================>]   3.21G  50.4MB/s    in 75s     \r\n",
      "\r\n",
      "2023-08-26 02:40:21 (44.0 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": "62bbb07c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T02:40:21.800766Z",
     "iopub.status.busy": "2023-08-26T02:40:21.799838Z",
     "iopub.status.idle": "2023-08-26T02:40:22.055862Z",
     "shell.execute_reply": "2023-08-26T02:40:22.054769Z"
    },
    "papermill": {
     "duration": 0.3387,
     "end_time": "2023-08-26T02:40:22.058134",
     "exception": false,
     "start_time": "2023-08-26T02:40:21.719434",
     "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": "35cbb769",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T02:40:22.212775Z",
     "iopub.status.busy": "2023-08-26T02:40:22.211823Z",
     "iopub.status.idle": "2023-08-26T02:40:22.467562Z",
     "shell.execute_reply": "2023-08-26T02:40:22.466442Z"
    },
    "papermill": {
     "duration": 0.336386,
     "end_time": "2023-08-26T02:40:22.469652",
     "exception": false,
     "start_time": "2023-08-26T02:40:22.133266",
     "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": "fcda44e9",
   "metadata": {
    "papermill": {
     "duration": 0.073436,
     "end_time": "2023-08-26T02:40:22.617218",
     "exception": false,
     "start_time": "2023-08-26T02:40:22.543782",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 1B5 V5 benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "05588b7c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T02:40:22.766963Z",
     "iopub.status.busy": "2023-08-26T02:40:22.766051Z",
     "iopub.status.idle": "2023-08-26T02:41:36.234188Z",
     "shell.execute_reply": "2023-08-26T02:41:36.233322Z"
    },
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     "status": "completed"
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    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 02:40:27,134] [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.csv\""
   ]
  },
  {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 02:41:40,974] [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 1100 tokens : 98.63636363636363% similarity, with 1085 matched token, and 15 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1150 tokens : 98.52173913043478% similarity, with 1133 matched token, and 17 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1200 tokens : 98.75% similarity, with 1185 matched token, and 15 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1250 tokens : 98.72% similarity, with 1234 matched token, and 16 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1300 tokens : 98.61538461538461% similarity, with 1282 matched token, and 18 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1350 tokens : 98.44444444444444% similarity, with 1329 matched token, and 21 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1400 tokens : 98.5% similarity, with 1379 matched token, and 21 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1450 tokens : 98.20689655172414% similarity, with 1424 matched token, and 26 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1500 tokens : 97.86666666666667% similarity, with 1468 matched token, and 32 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1550 tokens : 97.67741935483872% similarity, with 1514 matched token, and 36 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1600 tokens : 97.8125% similarity, with 1565 matched token, and 35 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1650 tokens : 97.57575757575758% similarity, with 1610 matched token, and 40 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1700 tokens : 97.6470588235294% similarity, with 1660 matched token, and 40 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1750 tokens : 97.94285714285714% similarity, with 1714 matched token, and 36 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1800 tokens : 97.72222222222223% similarity, with 1759 matched token, and 41 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1850 tokens : 96.86486486486487% similarity, with 1792 matched token, and 58 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1900 tokens : 96.36842105263158% similarity, with 1831 matched token, and 69 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1950 tokens : 95.23076923076923% similarity, with 1857 matched token, and 93 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2000 tokens : 94.75% similarity, with 1895 matched token, and 105 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2050 tokens : 93.26829268292684% similarity, with 1912 matched token, and 138 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2100 tokens : 91.33333333333333% similarity, with 1918 matched token, and 182 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2150 tokens : 90.13953488372093% similarity, with 1938 matched token, and 212 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2200 tokens : 88.81818181818181% similarity, with 1954 matched token, and 246 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2250 tokens : 86.62222222222222% similarity, with 1949 matched token, and 301 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2300 tokens : 84.82608695652173% similarity, with 1951 matched token, and 349 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2350 tokens : 82.08510638297872% similarity, with 1929 matched token, and 421 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2400 tokens : 80.625% similarity, with 1935 matched token, and 465 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2450 tokens : 78.61224489795919% similarity, with 1926 matched token, and 524 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2500 tokens : 77.08% similarity, with 1927 matched token, and 573 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2550 tokens : 75.25490196078431% similarity, with 1919 matched token, and 631 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2600 tokens : 73.88461538461539% similarity, with 1921 matched token, and 679 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2650 tokens : 72.71698113207547% similarity, with 1927 matched token, and 723 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2700 tokens : 71.4074074074074% similarity, with 1928 matched token, and 772 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2750 tokens : 70.10909090909091% similarity, with 1928 matched token, and 822 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2800 tokens : 68.85714285714286% similarity, with 1928 matched token, and 872 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2850 tokens : 67.89473684210526% similarity, with 1935 matched token, and 915 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2900 tokens : 66.6896551724138% similarity, with 1934 matched token, and 966 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2950 tokens : 65.62711864406779% similarity, with 1936 matched token, and 1014 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3000 tokens : 64.4% similarity, with 1932 matched token, and 1068 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3050 tokens : 63.31147540983607% similarity, with 1931 matched token, and 1119 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3100 tokens : 62.096774193548384% similarity, with 1925 matched token, and 1175 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3150 tokens : 61.17460317460317% similarity, with 1927 matched token, and 1223 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3200 tokens : 60.21875% similarity, with 1927 matched token, and 1273 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3250 tokens : 59.199999999999996% similarity, with 1924 matched token, and 1326 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3300 tokens : 58.18181818181818% similarity, with 1920 matched token, and 1380 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3350 tokens : 57.134328358208954% similarity, with 1914 matched token, and 1436 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3400 tokens : 56.294117647058826% similarity, with 1914 matched token, and 1486 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3450 tokens : 55.362318840579704% similarity, with 1910 matched token, and 1540 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3500 tokens : 54.400000000000006% similarity, with 1904 matched token, and 1596 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3550 tokens : 53.54929577464789% similarity, with 1901 matched token, and 1649 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3600 tokens : 52.77777777777778% similarity, with 1900 matched token, and 1700 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3650 tokens : 51.89041095890411% similarity, with 1894 matched token, and 1756 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3700 tokens : 51.054054054054056% similarity, with 1889 matched token, and 1811 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3750 tokens : 50.18666666666667% similarity, with 1882 matched token, and 1868 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3800 tokens : 49.31578947368421% similarity, with 1874 matched token, and 1926 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3850 tokens : 48.51948051948052% similarity, with 1868 matched token, and 1982 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3900 tokens : 47.53846153846154% similarity, with 1854 matched token, and 2046 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3950 tokens : 46.607594936708864% similarity, with 1841 matched token, and 2109 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4000 tokens : 45.574999999999996% similarity, with 1823 matched token, and 2177 token mismatch\r\n",
      "###\r\n",
      "### Model validation end ###\r\n",
      "###\r\n"
     ]
    }
   ],
   "source": [
    "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/BaseV5-C-Tune5.pth\" \"./logs/BaseV5-C-Tune5-4k.csv\" 1100 4000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "07fe298d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T02:46:12.686565Z",
     "iopub.status.busy": "2023-08-26T02:46:12.686040Z",
     "iopub.status.idle": "2023-08-26T03:51:00.917804Z",
     "shell.execute_reply": "2023-08-26T03:51:00.916994Z"
    },
    "papermill": {
     "duration": 3888.317314,
     "end_time": "2023-08-26T03:51:00.919981",
     "exception": false,
     "start_time": "2023-08-26T02:46:12.602667",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 02:46:17,238] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "###\r\n",
      "### Model validation start ###\r\n",
      "###\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4100 tokens : 43.97560975609756% similarity, with 1803 matched token, and 2297 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4200 tokens : 42.142857142857146% similarity, with 1770 matched token, and 2430 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4300 tokens : 40.27906976744186% similarity, with 1732 matched token, and 2568 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4400 tokens : 38.27272727272727% similarity, with 1684 matched token, and 2716 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4500 tokens : 35.8% similarity, with 1611 matched token, and 2889 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4600 tokens : 33.71739130434783% similarity, with 1551 matched token, and 3049 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4700 tokens : 31.06382978723404% similarity, with 1460 matched token, and 3240 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4800 tokens : 28.375% similarity, with 1362 matched token, and 3438 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4900 tokens : 25.857142857142858% similarity, with 1267 matched token, and 3633 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5000 tokens : 23.04% similarity, with 1152 matched token, and 3848 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5100 tokens : 20.784313725490197% similarity, with 1060 matched token, and 4040 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5200 tokens : 18.5% similarity, with 962 matched token, and 4238 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5300 tokens : 16.88679245283019% similarity, with 895 matched token, and 4405 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5400 tokens : 15.24074074074074% similarity, with 823 matched token, and 4577 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5500 tokens : 13.436363636363636% similarity, with 739 matched token, and 4761 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5600 tokens : 11.607142857142858% similarity, with 650 matched token, and 4950 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5700 tokens : 10.385964912280702% similarity, with 592 matched token, and 5108 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5800 tokens : 9.327586206896552% similarity, with 541 matched token, and 5259 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5900 tokens : 8.305084745762711% similarity, with 490 matched token, and 5410 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6000 tokens : 7.466666666666668% similarity, with 448 matched token, and 5552 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6100 tokens : 6.672131147540984% similarity, with 407 matched token, and 5693 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6200 tokens : 6.048387096774194% similarity, with 375 matched token, and 5825 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6300 tokens : 5.65079365079365% similarity, with 356 matched token, and 5944 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6400 tokens : 5.328125% similarity, with 341 matched token, and 6059 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6500 tokens : 4.984615384615385% similarity, with 324 matched token, and 6176 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6600 tokens : 4.6818181818181825% similarity, with 309 matched token, and 6291 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6700 tokens : 4.447761194029851% similarity, with 298 matched token, and 6402 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6800 tokens : 4.25% similarity, with 289 matched token, and 6511 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6900 tokens : 4.08695652173913% similarity, with 282 matched token, and 6618 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7000 tokens : 4.0% similarity, with 280 matched token, and 6720 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7100 tokens : 3.943661971830986% similarity, with 280 matched token, and 6820 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7200 tokens : 3.763888888888889% similarity, with 271 matched token, and 6929 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7300 tokens : 3.767123287671233% similarity, with 275 matched token, and 7025 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7400 tokens : 3.689189189189189% similarity, with 273 matched token, and 7127 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7500 tokens : 3.64% similarity, with 273 matched token, and 7227 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7600 tokens : 3.578947368421052% similarity, with 272 matched token, and 7328 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7700 tokens : 3.5844155844155843% similarity, with 276 matched token, and 7424 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7800 tokens : 3.5512820512820515% similarity, with 277 matched token, and 7523 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 7900 tokens : 3.468354430379747% similarity, with 274 matched token, and 7626 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8000 tokens : 3.4250000000000003% similarity, with 274 matched token, and 7726 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8100 tokens : 3.419753086419753% similarity, with 277 matched token, and 7823 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8200 tokens : 3.414634146341464% similarity, with 280 matched token, and 7920 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8300 tokens : 3.36144578313253% similarity, with 279 matched token, and 8021 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8400 tokens : 3.3690476190476186% similarity, with 283 matched token, and 8117 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8500 tokens : 3.3411764705882354% similarity, with 284 matched token, and 8216 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8600 tokens : 3.3488372093023258% similarity, with 288 matched token, and 8312 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8700 tokens : 3.3678160919540225% similarity, with 293 matched token, and 8407 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8800 tokens : 3.3295454545454546% similarity, with 293 matched token, and 8507 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 8900 tokens : 3.348314606741573% similarity, with 298 matched token, and 8602 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9000 tokens : 3.3333333333333335% similarity, with 300 matched token, and 8700 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9100 tokens : 3.3406593406593412% similarity, with 304 matched token, and 8796 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9200 tokens : 3.3260869565217392% similarity, with 306 matched token, and 8894 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9300 tokens : 3.3010752688172045% similarity, with 307 matched token, and 8993 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9400 tokens : 3.2978723404255317% similarity, with 310 matched token, and 9090 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9500 tokens : 3.3157894736842106% similarity, with 315 matched token, and 9185 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9600 tokens : 3.3229166666666665% similarity, with 319 matched token, and 9281 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9700 tokens : 3.3195876288659796% similarity, with 322 matched token, and 9378 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9800 tokens : 3.316326530612245% similarity, with 325 matched token, and 9475 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9900 tokens : 3.3333333333333335% similarity, with 330 matched token, and 9570 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10000 tokens : 3.37% similarity, with 337 matched token, and 9663 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10100 tokens : 3.3762376237623766% similarity, with 341 matched token, and 9759 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10200 tokens : 3.3725490196078427% similarity, with 344 matched token, and 9856 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10300 tokens : 3.349514563106796% similarity, with 345 matched token, and 9955 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10400 tokens : 3.355769230769231% similarity, with 349 matched token, and 10051 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10500 tokens : 3.371428571428572% similarity, with 354 matched token, and 10146 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10600 tokens : 3.3584905660377355% similarity, with 356 matched token, and 10244 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10700 tokens : 3.392523364485981% similarity, with 363 matched token, and 10337 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10800 tokens : 3.4074074074074074% similarity, with 368 matched token, and 10432 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 10900 tokens : 3.3853211009174315% similarity, with 369 matched token, and 10531 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11000 tokens : 3.4000000000000004% similarity, with 374 matched token, and 10626 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11100 tokens : 3.3963963963963963% similarity, with 377 matched token, and 10723 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11200 tokens : 3.3839285714285716% similarity, with 379 matched token, and 10821 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11300 tokens : 3.4070796460176993% similarity, with 385 matched token, and 10915 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11400 tokens : 3.43859649122807% similarity, with 392 matched token, and 11008 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11500 tokens : 3.4434782608695653% similarity, with 396 matched token, and 11104 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11600 tokens : 3.4568965517241383% similarity, with 401 matched token, and 11199 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11700 tokens : 3.4444444444444446% similarity, with 403 matched token, and 11297 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11800 tokens : 3.457627118644068% similarity, with 408 matched token, and 11392 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11900 tokens : 3.46218487394958% similarity, with 412 matched token, and 11488 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12000 tokens : 3.4750000000000005% similarity, with 417 matched token, and 11583 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12100 tokens : 3.487603305785124% similarity, with 422 matched token, and 11678 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12200 tokens : 3.475409836065574% similarity, with 424 matched token, and 11776 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12300 tokens : 3.487804878048781% similarity, with 429 matched token, and 11871 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12400 tokens : 3.491935483870968% similarity, with 433 matched token, and 11967 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12500 tokens : 3.488% similarity, with 436 matched token, and 12064 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12600 tokens : 3.484126984126984% similarity, with 439 matched token, and 12161 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12700 tokens : 3.4881889763779523% similarity, with 443 matched token, and 12257 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12800 tokens : 3.484375% similarity, with 446 matched token, and 12354 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12900 tokens : 3.488372093023256% similarity, with 450 matched token, and 12450 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13000 tokens : 3.5000000000000004% similarity, with 455 matched token, and 12545 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13100 tokens : 3.5038167938931295% similarity, with 459 matched token, and 12641 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13200 tokens : 3.5000000000000004% similarity, with 462 matched token, and 12738 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13300 tokens : 3.488721804511278% similarity, with 464 matched token, and 12836 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13400 tokens : 3.514925373134328% similarity, with 471 matched token, and 12929 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13500 tokens : 3.503703703703704% similarity, with 473 matched token, and 13027 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13600 tokens : 3.514705882352941% similarity, with 478 matched token, and 13122 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13700 tokens : 3.510948905109489% similarity, with 481 matched token, and 13219 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13800 tokens : 3.5144927536231885% similarity, with 485 matched token, and 13315 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13900 tokens : 3.5251798561151078% similarity, with 490 matched token, and 13410 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14000 tokens : 3.55% similarity, with 497 matched token, and 13503 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14100 tokens : 3.546099290780142% similarity, with 500 matched token, and 13600 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14200 tokens : 3.535211267605634% similarity, with 502 matched token, and 13698 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14300 tokens : 3.5454545454545454% similarity, with 507 matched token, and 13793 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14400 tokens : 3.5555555555555554% similarity, with 512 matched token, and 13888 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14500 tokens : 3.537931034482759% similarity, with 513 matched token, and 13987 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14600 tokens : 3.5273972602739727% similarity, with 515 matched token, and 14085 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14700 tokens : 3.5646258503401365% similarity, with 524 matched token, and 14176 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14800 tokens : 3.5472972972972974% similarity, with 525 matched token, and 14275 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14900 tokens : 3.550335570469799% similarity, with 529 matched token, and 14371 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15000 tokens : 3.5533333333333332% similarity, with 533 matched token, and 14467 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15100 tokens : 3.576158940397351% similarity, with 540 matched token, and 14560 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15200 tokens : 3.56578947368421% similarity, with 542 matched token, and 14658 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15300 tokens : 3.5490196078431375% similarity, with 543 matched token, and 14757 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15400 tokens : 3.551948051948052% similarity, with 547 matched token, and 14853 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15500 tokens : 3.5483870967741935% similarity, with 550 matched token, and 14950 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15600 tokens : 3.5448717948717947% similarity, with 553 matched token, and 15047 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15700 tokens : 3.5605095541401273% similarity, with 559 matched token, and 15141 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15800 tokens : 3.5506329113924053% similarity, with 561 matched token, and 15239 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 15900 tokens : 3.547169811320755% similarity, with 564 matched token, and 15336 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 16000 tokens : 3.5437499999999997% similarity, with 567 matched token, and 15433 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "###\r\n",
      "### Model validation end ###\r\n",
      "###\r\n"
     ]
    }
   ],
   "source": [
    "!python3 ./memory_script/eval_v5_memory_guided.py \"../../../model/BaseV5-C-Tune5.pth\" \"./logs/BaseV5-C-Tune5-16k.csv\" 4100 16000"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc7cefb3",
   "metadata": {
    "papermill": {
     "duration": 0.087087,
     "end_time": "2023-08-26T03:51:01.095216",
     "exception": false,
     "start_time": "2023-08-26T03:51:01.008129",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# EWR V5 benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c43fd657",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:51:01.271942Z",
     "iopub.status.busy": "2023-08-26T03:51:01.271569Z",
     "iopub.status.idle": "2023-08-26T03:51:07.977514Z",
     "shell.execute_reply": "2023-08-26T03:51:07.976609Z"
    },
    "papermill": {
     "duration": 6.797353,
     "end_time": "2023-08-26T03:51:07.979959",
     "exception": false,
     "start_time": "2023-08-26T03:51:01.182606",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:51:05,834] [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 <module>\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": "14d0f3a0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:51:08.166858Z",
     "iopub.status.busy": "2023-08-26T03:51:08.166337Z",
     "iopub.status.idle": "2023-08-26T03:51:14.893157Z",
     "shell.execute_reply": "2023-08-26T03:51:14.892251Z"
    },
    "papermill": {
     "duration": 6.818707,
     "end_time": "2023-08-26T03:51:14.895545",
     "exception": false,
     "start_time": "2023-08-26T03:51:08.076838",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:51:12,720] [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 <module>\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": "a6e5fb5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:51:15.081960Z",
     "iopub.status.busy": "2023-08-26T03:51:15.081363Z",
     "iopub.status.idle": "2023-08-26T03:51:21.774964Z",
     "shell.execute_reply": "2023-08-26T03:51:21.774053Z"
    },
    "papermill": {
     "duration": 6.786015,
     "end_time": "2023-08-26T03:51:21.776996",
     "exception": false,
     "start_time": "2023-08-26T03:51:14.990981",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:51:19,619] [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 <module>\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": "cc618e47",
   "metadata": {
    "papermill": {
     "duration": 0.089514,
     "end_time": "2023-08-26T03:51:22.041834",
     "exception": false,
     "start_time": "2023-08-26T03:51:21.952320",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# v5-L6-D2048-E0_1-mem-ctx-8k.pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c7f81837",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:51:22.223016Z",
     "iopub.status.busy": "2023-08-26T03:51:22.222221Z",
     "iopub.status.idle": "2023-08-26T03:52:18.967272Z",
     "shell.execute_reply": "2023-08-26T03:52:18.966013Z"
    },
    "papermill": {
     "duration": 56.838717,
     "end_time": "2023-08-26T03:52:18.969638",
     "exception": false,
     "start_time": "2023-08-26T03:51:22.130921",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:51:26,779] [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 : 71.44444444444444% similarity, with 643 matched token, and 257 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": "e3ae5d38",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:52:19.154056Z",
     "iopub.status.busy": "2023-08-26T03:52:19.153510Z",
     "iopub.status.idle": "2023-08-26T03:56:34.836262Z",
     "shell.execute_reply": "2023-08-26T03:56:34.835401Z"
    },
    "papermill": {
     "duration": 255.778842,
     "end_time": "2023-08-26T03:56:34.839491",
     "exception": false,
     "start_time": "2023-08-26T03:52:19.060649",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:52:23,583] [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 : 58.26086956521739% similarity, with 670 matched token, and 480 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 : 50.2962962962963% similarity, with 679 matched token, and 671 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 : 39.45454545454545% similarity, with 651 matched token, and 999 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 : 36.22857142857143% similarity, with 634 matched token, and 1116 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1800 tokens : 35.44444444444444% similarity, with 638 matched token, and 1162 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1850 tokens : 33.2972972972973% similarity, with 616 matched token, and 1234 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1900 tokens : 32.26315789473684% similarity, with 613 matched token, and 1287 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 : 30.7% similarity, with 614 matched token, and 1386 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 : 28.55813953488372% similarity, with 614 matched token, and 1536 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2200 tokens : 28.000000000000004% similarity, with 616 matched token, and 1584 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 : 25.5% similarity, with 612 matched token, and 1788 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2450 tokens : 24.816326530612244% similarity, with 608 matched token, and 1842 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 : 23.23076923076923% similarity, with 604 matched token, and 1996 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2650 tokens : 22.754716981132077% similarity, with 603 matched token, and 2047 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 : 21.392857142857142% similarity, with 599 matched token, and 2201 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 : 20.271186440677965% similarity, with 598 matched token, and 2352 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3000 tokens : 19.8% similarity, with 594 matched token, and 2406 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 : 19.225806451612904% similarity, with 596 matched token, and 2504 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 : 18.53125% similarity, with 593 matched token, and 2607 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 : 17.84848484848485% similarity, with 589 matched token, and 2711 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3350 tokens : 17.522388059701495% similarity, with 587 matched token, and 2763 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 : 16.57142857142857% similarity, with 580 matched token, and 2920 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 : 16.0% similarity, with 576 matched token, and 3024 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3650 tokens : 15.890410958904111% similarity, with 580 matched token, and 3070 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 : 15.306666666666665% similarity, with 574 matched token, and 3176 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 : 14.666666666666666% similarity, with 572 matched token, and 3328 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3950 tokens : 14.253164556962025% similarity, with 563 matched token, and 3387 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4000 tokens : 13.875000000000002% similarity, with 555 matched token, and 3445 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_1-4k.csv\" 1100 4000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2f4ec3af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T03:56:35.051611Z",
     "iopub.status.busy": "2023-08-26T03:56:35.050877Z",
     "iopub.status.idle": "2023-08-26T04:57:35.806866Z",
     "shell.execute_reply": "2023-08-26T04:57:35.805988Z"
    },
    "papermill": {
     "duration": 3660.857868,
     "end_time": "2023-08-26T04:57:35.809908",
     "exception": false,
     "start_time": "2023-08-26T03:56:34.952040",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 03:56:39,587] [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 : 13.463414634146343% similarity, with 552 matched token, and 3548 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4200 tokens : 12.523809523809524% similarity, with 526 matched token, and 3674 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 : 10.795454545454545% similarity, with 475 matched token, and 3925 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4500 tokens : 9.911111111111111% similarity, with 446 matched token, and 4054 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 : 8.085106382978724% similarity, with 380 matched token, and 4320 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 : 5.46% similarity, with 273 matched token, and 4727 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5100 tokens : 4.980392156862745% similarity, with 254 matched token, and 4846 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 : 4.3584905660377355% similarity, with 231 matched token, and 5069 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5400 tokens : 4.12962962962963% similarity, with 223 matched token, and 5177 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5500 tokens : 4.018181818181818% similarity, with 221 matched token, and 5279 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 : 3.5333333333333337% similarity, with 212 matched token, and 5788 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 : 3.516129032258065% similarity, with 218 matched token, and 5982 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 : 3.4637681159420293% similarity, with 239 matched token, and 6661 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 : 3.3888888888888893% similarity, with 244 matched token, and 6956 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 : 3.4166666666666665% similarity, with 287 matched token, and 8113 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 : 3.4395604395604393% similarity, with 313 matched token, and 8787 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 : 3.393617021276596% similarity, with 319 matched token, and 9081 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9500 tokens : 3.421052631578948% similarity, with 325 matched token, and 9175 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9600 tokens : 3.4062500000000004% similarity, with 327 matched token, and 9273 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 : 3.387755102040816% similarity, with 332 matched token, and 9468 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 9900 tokens : 3.414141414141414% similarity, with 338 matched token, and 9562 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 : 3.4571428571428573% similarity, with 363 matched token, and 10137 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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11500 tokens : 3.5391304347826087% similarity, with 407 matched token, and 11093 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11600 tokens : 3.5603448275862073% similarity, with 413 matched token, and 11187 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11700 tokens : 3.547008547008547% similarity, with 415 matched token, and 11285 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11800 tokens : 3.5593220338983054% similarity, with 420 matched token, and 11380 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11900 tokens : 3.563025210084034% similarity, with 424 matched token, and 11476 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12000 tokens : 3.5833333333333335% similarity, with 430 matched token, and 11570 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12100 tokens : 3.5867768595041323% similarity, with 434 matched token, and 11666 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12200 tokens : 3.5655737704918034% similarity, with 435 matched token, and 11765 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12300 tokens : 3.585365853658536% similarity, with 441 matched token, and 11859 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12400 tokens : 3.588709677419355% similarity, with 445 matched token, and 11955 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12500 tokens : 3.5839999999999996% similarity, with 448 matched token, and 12052 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12600 tokens : 3.5793650793650795% similarity, with 451 matched token, and 12149 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12700 tokens : 3.5905511811023625% similarity, with 456 matched token, and 12244 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12800 tokens : 3.5703125% similarity, with 457 matched token, and 12343 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12900 tokens : 3.573643410852713% similarity, with 461 matched token, and 12439 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13000 tokens : 3.5923076923076924% similarity, with 467 matched token, and 12533 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13100 tokens : 3.572519083969466% similarity, with 468 matched token, and 12632 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13200 tokens : 3.5757575757575757% similarity, with 472 matched token, and 12728 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13300 tokens : 3.56390977443609% similarity, with 474 matched token, and 12826 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13400 tokens : 3.58955223880597% similarity, with 481 matched token, and 12919 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13500 tokens : 3.5777777777777775% similarity, with 483 matched token, and 13017 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13600 tokens : 3.5882352941176467% similarity, with 488 matched token, and 13112 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13700 tokens : 3.576642335766423% similarity, with 490 matched token, and 13210 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13800 tokens : 3.5797101449275366% similarity, with 494 matched token, and 13306 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13900 tokens : 3.5899280575539567% similarity, with 499 matched token, and 13401 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14000 tokens : 3.6142857142857143% similarity, with 506 matched token, and 13494 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 14100 tokens : 3.6099290780141846% similarity, with 509 matched token, and 13591 token 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 : 3.604026845637584% similarity, with 537 matched token, and 14363 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 : 3.5806451612903225% similarity, with 555 matched token, and 14945 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": "40e0b79b",
   "metadata": {
    "papermill": {
     "duration": 0.105823,
     "end_time": "2023-08-26T04:57:36.035336",
     "exception": false,
     "start_time": "2023-08-26T04:57:35.929513",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# v5-L6-D4096-E0_1-mem-ctx-8k.pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4e9ff5b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T04:57:36.236932Z",
     "iopub.status.busy": "2023-08-26T04:57:36.236393Z",
     "iopub.status.idle": "2023-08-26T04:58:47.177041Z",
     "shell.execute_reply": "2023-08-26T04:58:47.175786Z"
    },
    "papermill": {
     "duration": 71.044339,
     "end_time": "2023-08-26T04:58:47.179232",
     "exception": false,
     "start_time": "2023-08-26T04:57:36.134893",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 04:57:40,650] [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": "033eb935",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T04:58:47.387282Z",
     "iopub.status.busy": "2023-08-26T04:58:47.386770Z",
     "iopub.status.idle": "2023-08-26T05:03:03.253661Z",
     "shell.execute_reply": "2023-08-26T05:03:03.252579Z"
    },
    "papermill": {
     "duration": 255.973557,
     "end_time": "2023-08-26T05:03:03.256272",
     "exception": false,
     "start_time": "2023-08-26T04:58:47.282715",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 04:58:51,708] [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 : 77.08333333333334% similarity, with 925 matched token, and 275 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 : 68.13793103448276% similarity, with 988 matched token, and 462 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 : 63.375% similarity, with 1014 matched token, and 586 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 : 60.411764705882355% similarity, with 1027 matched token, and 673 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 1750 tokens : 59.14285714285714% similarity, with 1035 matched token, and 715 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 : 55.945945945945944% similarity, with 1035 matched token, and 815 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 : 53.230769230769226% similarity, with 1038 matched token, and 912 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 : 49.57142857142857% similarity, with 1041 matched token, and 1059 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2150 tokens : 47.72093023255814% similarity, with 1026 matched token, and 1124 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 : 41.65957446808511% similarity, with 979 matched token, and 1371 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2400 tokens : 40.91666666666667% similarity, with 982 matched token, and 1418 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2450 tokens : 39.02040816326531% similarity, with 956 matched token, and 1494 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2500 tokens : 37.92% similarity, with 948 matched token, and 1552 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2550 tokens : 36.470588235294116% similarity, with 930 matched token, and 1620 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2600 tokens : 35.46153846153846% similarity, with 922 matched token, and 1678 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 : 32.654545454545456% similarity, with 898 matched token, and 1852 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2800 tokens : 31.607142857142854% similarity, with 885 matched token, and 1915 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 2850 tokens : 31.05263157894737% similarity, with 885 matched token, and 1965 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 : 29.355932203389827% similarity, with 866 matched token, and 2084 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3000 tokens : 28.666666666666668% similarity, with 860 matched token, and 2140 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 : 26.34375% similarity, with 843 matched token, and 2357 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 : 24.44776119402985% similarity, with 819 matched token, and 2531 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 : 21.783783783783782% similarity, with 806 matched token, and 2894 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 3750 tokens : 21.52% similarity, with 807 matched token, and 2943 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 : 20.692307692307693% similarity, with 807 matched token, and 3093 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 : 20.05% similarity, with 802 matched token, and 3198 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-D4096-E0_1-mem-ctx-8k.pth\" \"./logs/v5-L6-D4096-E0_1-4k.csv\" 1100 4000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6f703b19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-26T05:03:03.480994Z",
     "iopub.status.busy": "2023-08-26T05:03:03.480217Z",
     "iopub.status.idle": "2023-08-26T06:07:17.240771Z",
     "shell.execute_reply": "2023-08-26T06:07:17.239742Z"
    },
    "papermill": {
     "duration": 3853.874304,
     "end_time": "2023-08-26T06:07:17.243162",
     "exception": false,
     "start_time": "2023-08-26T05:03:03.368858",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-26 05:03:07,997] [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 : 19.439024390243905% similarity, with 797 matched token, and 3303 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4200 tokens : 18.5% similarity, with 777 matched token, and 3423 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4300 tokens : 17.906976744186046% similarity, with 770 matched token, and 3530 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4400 tokens : 17.06818181818182% similarity, with 751 matched token, and 3649 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4500 tokens : 16.377777777777776% similarity, with 737 matched token, and 3763 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 4600 tokens : 15.65217391304348% similarity, with 720 matched token, and 3880 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 : 12.42% similarity, with 621 matched token, and 4379 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5100 tokens : 11.470588235294118% similarity, with 585 matched token, and 4515 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 5200 tokens : 10.596153846153847% similarity, with 551 matched token, and 4649 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 : 6.561403508771931% similarity, with 374 matched token, and 5326 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 : 5.627118644067797% similarity, with 332 matched token, and 5568 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 : 3.7910447761194033% similarity, with 254 matched token, and 6446 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 6800 tokens : 3.6764705882352944% similarity, with 250 matched token, and 6550 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 : 3.4476190476190474% similarity, with 362 matched token, and 10138 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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11200 tokens : 3.455357142857143% similarity, with 387 matched token, and 10813 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11300 tokens : 3.4690265486725664% similarity, with 392 matched token, and 10908 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11400 tokens : 3.5000000000000004% similarity, with 399 matched token, and 11001 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11500 tokens : 3.5043478260869563% similarity, with 403 matched token, and 11097 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 11600 tokens : 3.517241379310345% similarity, with 408 matched token, and 11192 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model 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",
     "output_type": "stream",
     "text": [
      "## Model validation for 12800 tokens : 3.5312499999999996% similarity, with 452 matched token, and 12348 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 12900 tokens : 3.5348837209302326% similarity, with 456 matched token, and 12444 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13000 tokens : 3.553846153846154% similarity, with 462 matched token, and 12538 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13100 tokens : 3.5343511450381677% similarity, with 463 matched token, and 12637 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13200 tokens : 3.5378787878787876% similarity, with 467 matched token, and 12733 token mismatch\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## Model validation for 13300 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"
     ]
    },
    {
     "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_1-16k.csv\" 4100 16000"
   ]
  }
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