From 3c1acdfed331e28bb1625ae187e462c4a1563363 Mon Sep 17 00:00:00 2001 From: Mateusz Date: Sun, 26 May 2024 13:40:54 +0200 Subject: [PATCH] test 1 --- RNN.ipynb | 240 ++++++++++++++------------ dev-0/out.tsv | 428 ++++++++++++++++++++++----------------------- test-A/out.tsv | 458 +++++++++++++++++++++++++------------------------ 3 files changed, 572 insertions(+), 554 deletions(-) diff --git a/RNN.ipynb b/RNN.ipynb index 2e7bd89..907cef4 100644 --- a/RNN.ipynb +++ b/RNN.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 376, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -123,9 +123,24 @@ }, { "cell_type": "code", - "execution_count": 377, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\skype\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\torchtext\\vocab\\__init__.py:4: UserWarning: \n", + "/!\\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\\ \n", + "Torchtext is deprecated and the last released version will be 0.18 (this one). You can silence this warning by calling the following at the beginnign of your scripts: `import torchtext; torchtext.disable_torchtext_deprecation_warning()`\n", + " warnings.warn(torchtext._TORCHTEXT_DEPRECATION_MSG)\n", + "c:\\Users\\skype\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\torchtext\\utils.py:4: UserWarning: \n", + "/!\\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\\ \n", + "Torchtext is deprecated and the last released version will be 0.18 (this one). You can silence this warning by calling the following at the beginnign of your scripts: `import torchtext; torchtext.disable_torchtext_deprecation_warning()`\n", + " warnings.warn(torchtext._TORCHTEXT_DEPRECATION_MSG)\n" + ] + } + ], "source": [ "from collections import Counter\n", "import torch\n", @@ -144,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 378, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -161,7 +176,7 @@ }, { "cell_type": "code", - "execution_count": 379, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -177,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 380, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -188,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": 381, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -205,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 382, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -215,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 383, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -225,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 384, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 385, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -251,7 +266,7 @@ }, { "cell_type": "code", - "execution_count": 386, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -264,7 +279,7 @@ }, { "cell_type": "code", - "execution_count": 387, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -280,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": 388, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -296,7 +311,7 @@ }, { "cell_type": "code", - "execution_count": 389, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -305,7 +320,7 @@ "22154" ] }, - "execution_count": 389, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -323,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 390, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -332,7 +347,7 @@ "9086" ] }, - "execution_count": 390, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -350,7 +365,7 @@ }, { "cell_type": "code", - "execution_count": 391, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -359,7 +374,7 @@ "0" ] }, - "execution_count": 391, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -377,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 392, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -393,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 393, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -409,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 394, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -426,7 +441,7 @@ }, { "cell_type": "code", - "execution_count": 395, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -445,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 396, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -463,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 397, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -480,7 +495,7 @@ }, { "cell_type": "code", - "execution_count": 398, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -498,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 399, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -549,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 400, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -581,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 401, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -611,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 402, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -627,7 +642,7 @@ }, { "cell_type": "code", - "execution_count": 403, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -643,7 +658,7 @@ }, { "cell_type": "code", - "execution_count": 404, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -659,7 +674,7 @@ }, { "cell_type": "code", - "execution_count": 405, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -687,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 406, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -697,13 +712,12 @@ " v: k for k, v in label_to_index.items()\n", " } # Create the inverse mapping\n", "\n", - " dataset_tokens = dataset_tokens[1:-1]\n", - "\n", " for i in tqdm(range(len(dataset_tokens))):\n", " batch_tokens = dataset_tokens[i].unsqueeze(0)\n", " Y_batch_pred_weights = model(batch_tokens).squeeze(0)\n", " Y_batch_pred = torch.argmax(Y_batch_pred_weights, 1)\n", " predicted_labels = [inv_label_to_index[label.item()] for label in Y_batch_pred]\n", + " predicted_labels = predicted_labels[1:-1]\n", " Y_pred.append(\" \".join(predicted_labels))\n", "\n", " return Y_pred" @@ -718,7 +732,7 @@ }, { "cell_type": "code", - "execution_count": 407, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -727,13 +741,13 @@ }, { "cell_type": "code", - "execution_count": 408, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e0587944344f4bf1950126a01ac8ad07", + "model_id": "56ca1f77d2d843bbbf760fead298cb00", "version_major": 2, "version_minor": 0 }, @@ -747,7 +761,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7131c4d76dbe415ab561eb386f73a9e3", + "model_id": "98da31b3a184494ba6d6a6dc86468025", "version_major": 2, "version_minor": 0 }, @@ -762,13 +776,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7132680320569902, 0.23037100949094047, 0.3482608695652174)\n" + "(0.6839857651245551, 0.27638769053782, 0.3936911102007374)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "972aac01482b4736bb64a8057d3f38e9", + "model_id": "3a72db21f0aa4d20b328b59201ee3763", "version_major": 2, "version_minor": 0 }, @@ -782,7 +796,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f70ae0eb2e074348aaf9b08840b32842", + "model_id": "0e21f4a67ba74420ae620d489e5cb87d", "version_major": 2, "version_minor": 0 }, @@ -797,13 +811,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7749537892791127, 0.4823123382226057, 0.5945754298883177)\n" + "(0.7672373900971773, 0.4768478573482888, 0.5881518268889678)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c12ce79cf9f3419f808cd67920124d44", + "model_id": "4f6da9aaae844f9dbce34a463798b9ef", "version_major": 2, "version_minor": 0 }, @@ -817,7 +831,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "950fa18832c44b2f8b39a76cfae9e4f5", + "model_id": "780a5d7519d4464db894f04f56ca7ab4", "version_major": 2, "version_minor": 0 }, @@ -832,13 +846,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7864864864864864, 0.5858498705780846, 0.6715015658480303)\n" + "(0.7881323697223279, 0.5959160195570894, 0.678676711431379)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e64c3ac1406b47319a913c276659741b", + "model_id": "5bad58a6fc9541cab17eddf933ba90b5", "version_major": 2, "version_minor": 0 }, @@ -852,7 +866,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "563008ad95664e9a93fda3bad47a8286", + "model_id": "496c5c8b1e874841a0a94ae776979f36", "version_major": 2, "version_minor": 0 }, @@ -867,13 +881,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7872340425531915, 0.6384814495254529, 0.7050976655550262)\n" + "(0.7992857142857143, 0.6436583261432269, 0.7130794965747969)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b169c3c7bd8f46afbb4613e53d3f3004", + "model_id": "7c18d00543da431f97462f292ac04eb3", "version_major": 2, "version_minor": 0 }, @@ -887,7 +901,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "29392ac1478d4b41b58dc7cbb047977e", + "model_id": "f86f10fbd62a46419a174e9cad52d414", "version_major": 2, "version_minor": 0 }, @@ -902,13 +916,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7830188679245284, 0.6683922922059247, 0.7211792086889061)\n" + "(0.7935967302452316, 0.6701179177451826, 0.7266489942304692)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9e3671434bef46748a6303fae19e37f2", + "model_id": "599bf5f15e344e0d99d1b97a1dada9c1", "version_major": 2, "version_minor": 0 }, @@ -922,7 +936,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9e208db80dfc413a9ca2d0194eb0dfbb", + "model_id": "1ca8a85bdae1450cb9a05fe3833627e7", "version_major": 2, "version_minor": 0 }, @@ -937,13 +951,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.7966499162479062, 0.6839229220592464, 0.7359950479727638)\n" + "(0.7951251646903821, 0.6942766752947943, 0.7412866574543221)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "428f27d053314b2baa730a11e0bf2109", + "model_id": "48532842807846509577a6263e9b7089", "version_major": 2, "version_minor": 0 }, @@ -957,7 +971,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "09aa77d56e88401980661735666d5e84", + "model_id": "03cb456498b3433d98feec2f4e7469a0", "version_major": 2, "version_minor": 0 }, @@ -972,13 +986,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8300609343263372, 0.7052056370434282, 0.7625563675944643)\n" + "(0.794789321325185, 0.7106701179177451, 0.7503795930762224)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a7005c70fd9542ca8a215ea99f939e83", + "model_id": "1e4c0bf415a74a3b92435a944310b271", "version_major": 2, "version_minor": 0 }, @@ -992,7 +1006,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9ef6c9b82a014300853a1bedffc072f7", + "model_id": "670f9768f28345c4a28f5961ebbee780", "version_major": 2, "version_minor": 0 }, @@ -1007,13 +1021,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8456536618754278, 0.7106701179177451, 0.7723081731520549)\n" + "(0.8046014257939079, 0.7141213689962611, 0.7566661587688556)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9dd3d20480224ee2829eee65fbce6a56", + "model_id": "f74c301cbde847f8bc7f62d2d81d0194", "version_major": 2, "version_minor": 0 }, @@ -1027,7 +1041,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9952fc82ecaf4608b90423b06e9ca9b8", + "model_id": "ed35cacbda794c59acecbd270a3f25ad", "version_major": 2, "version_minor": 0 }, @@ -1042,13 +1056,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8593695878074126, 0.7135461604831751, 0.7796983029541169)\n" + "(0.8059558117195005, 0.7238999137187231, 0.7627272727272727)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3aa663321a094110982f975c44a9f89c", + "model_id": "226bf16a3d7e4158b7e4b406e2260ca0", "version_major": 2, "version_minor": 0 }, @@ -1062,7 +1076,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2db3d63d612f45dfa6877f98866d2f90", + "model_id": "64d8bf3bc34b4ef0937833f998c164dd", "version_major": 2, "version_minor": 0 }, @@ -1077,13 +1091,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8427757291317466, 0.723037100949094, 0.778328173374613)\n" + "(0.8214634146341463, 0.72648835202761, 0.7710622710622711)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "acee67bf61d9414eae672c396d223498", + "model_id": "9dff285530c143d2a2742dcd0100ba2c", "version_major": 2, "version_minor": 0 }, @@ -1097,7 +1111,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "853b2b1bba1e4803bc403328ca500587", + "model_id": "a7b4dabfd9cd496384bab072ef005a19", "version_major": 2, "version_minor": 0 }, @@ -1112,13 +1126,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8629512793550649, 0.7080816796088583, 0.7778830963665087)\n" + "(0.8328277721604315, 0.7106701179177451, 0.7669149596523898)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6caff7e4c24c4a92aa7d1fffb871ac32", + "model_id": "c529aaf8f97c4fba84fda6f7bf6997b0", "version_major": 2, "version_minor": 0 }, @@ -1132,7 +1146,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7a8fea3e3457485fa393f32197555dc0", + "model_id": "d9b377ca735b4b0eb38c1b0b2ca3651b", "version_major": 2, "version_minor": 0 }, @@ -1147,13 +1161,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.854050279329609, 0.7034800115041703, 0.7714871471376755)\n" + "(0.8623625399077687, 0.6991659476560254, 0.7722363405336722)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "530a91d496044e3eb3a195f575e081dd", + "model_id": "a598d0724ca4486ea8c68aa6c07a3111", "version_major": 2, "version_minor": 0 }, @@ -1167,7 +1181,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "678cb14ce65d4a8abe9f519526a946f4", + "model_id": "a896d04311e846fe9253020b531c2c6a", "version_major": 2, "version_minor": 0 }, @@ -1182,13 +1196,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8393868710429857, 0.724475122231809, 0.7777091694967583)\n" + "(0.83496126641967, 0.7129709519700892, 0.7691591684765747)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "600450b7660547128a1de002251da5fd", + "model_id": "8a00bd95b14745a8b2846925b813e473", "version_major": 2, "version_minor": 0 }, @@ -1202,7 +1216,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "631a76105d884c958f6a2c4da5ccfc98", + "model_id": "ae225fdd11954d94ba54f21da0e64070", "version_major": 2, "version_minor": 0 }, @@ -1217,13 +1231,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8705717292178183, 0.7138337647397182, 0.7844500632111252)\n" + "(0.8154145077720207, 0.724187517975266, 0.7670982482863671)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "25e6be58b58a46efb29efc02a32bfad3", + "model_id": "ea835b4f9c35406aa521709cfb9f126b", "version_major": 2, "version_minor": 0 }, @@ -1237,7 +1251,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2f06164feed74871ad2e8d7a3837df16", + "model_id": "0701c8301be3419a9e5b5375975eec59", "version_major": 2, "version_minor": 0 }, @@ -1252,13 +1266,13 @@ "name": "stdout", "output_type": "stream", "text": [ - 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"model_id": "afba4e9112ed415aaf3647ae8dfe34df", + "model_id": "85f39bd1fd394e12b0c2e06561d8032d", "version_major": 2, "version_minor": 0 }, @@ -1322,13 +1336,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8588936734017887, 0.7457578372159908, 0.7983374384236454)\n" + "(0.8292120013188262, 0.7233247052056371, 0.7726574500768049)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "12f030871ee34c698598afe497560488", + "model_id": "4ff1a830578747cda4b35f4c87ba3d0f", "version_major": 2, "version_minor": 0 }, @@ -1342,7 +1356,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "33f2653607e14978bf29480c899c349e", + "model_id": "a0ae2f3a6d4f4e4da43fff14556ec664", "version_major": 2, "version_minor": 0 }, @@ -1357,13 +1371,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.8506047728015691, 0.7483462755248778, 0.7962056303549571)\n" + "(0.8110863332271424, 0.73224043715847, 0.7696493349455865)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - 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