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"grid_auto_rows": null, - "grid_gap": null, "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6b14cae9c1374672ba443e94578b02ec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", - "grid_template_areas": null, - "object_position": null, - "object_fit": null, - "grid_auto_columns": null, - "margin": null, - "display": null, - "left": null + "_view_name": "StyleView", + "description_width": "" } } } @@ -4933,6 +1256,30 @@ "\"Open" ] }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3LDcxfYz_PlD", + "outputId": "ec258619-12ac-4541-fbd1-edbb4de2042a" + }, + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Mounted at /content/drive\n" + ], + "name": "stdout" + } + ] + }, { "cell_type": "code", "metadata": { @@ -4940,21 +1287,21 @@ "base_uri": "https://localhost:8080/" }, "id": "avLZ8mZW5WVq", - "outputId": "66d51cf2-0f2c-4db6-9601-a58ddac8b8f1" + "outputId": "66d73cb8-c3b7-4bde-b21b-22a24d9383a5" }, "source": [ "!pip install --quiet transformers sentence-transformers nltk pyter3" ], - "execution_count": 1, + "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ - "\u001b[K |████████████████████████████████| 2.5MB 32.5MB/s \n", - "\u001b[K |████████████████████████████████| 92kB 10.5MB/s \n", - "\u001b[K |████████████████████████████████| 3.3MB 36.2MB/s \n", - "\u001b[K |████████████████████████████████| 901kB 36.1MB/s \n", - "\u001b[K |████████████████████████████████| 1.2MB 43.1MB/s \n", + "\u001b[K |████████████████████████████████| 2.5MB 8.7MB/s \n", + "\u001b[K |████████████████████████████████| 92kB 10.3MB/s \n", + "\u001b[K |████████████████████████████████| 3.3MB 39.3MB/s \n", + "\u001b[K |████████████████████████████████| 901kB 30.6MB/s \n", + "\u001b[K |████████████████████████████████| 1.2MB 38.7MB/s \n", "\u001b[?25h Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n" ], "name": "stdout" @@ -4993,7 +1340,7 @@ "train_contexts, train_questions, train_answers = read_squad('/content/drive/MyDrive/squad/train-v2.0.json')\n", "val_contexts, val_questions, val_answers = read_squad('/content/drive/MyDrive/squad/dev-v2.0.json')" ], - "execution_count": 2, + "execution_count": null, "outputs": [] }, { @@ -5012,7 +1359,7 @@ "add_end_idx(train_answers, train_contexts)\n", "add_end_idx(val_answers, val_contexts)" ], - "execution_count": 3, + "execution_count": null, "outputs": [] }, { @@ -5022,62 +1369,62 @@ "base_uri": "https://localhost:8080/", "height": 213, "referenced_widgets": [ - "955421fe414346a2bdd9f62a821558df", - "4c86eea0e1d849d4864eeb70ee4331c2", - "4d5e2fec368d4ca3a221652a9286f2a9", - "85c4741147a44c98967746b461e17b7b", - "a1275d9cd62c496f99bb2753afb62341", - "e997469edc7e46dea51674c77e042ec7", - "ce935e8e4cb64575ab6597032818fb43", - "7c7541eff26140f3b5894b3e76dace3d", - "4ed3c9566b5a46dc8b5b8093de10d680", - "0cd8c7f0baff4b078176180c178c7ee4", - "77e257006a174cb4946f348e64a031ec", - "b5cc437d5109498f9d4f97b2d4870d3c", - "26b5b2a5d76e42e9bcea8d013fa1bf98", - "e1fc5ec2e7c04e72b560d2147c29d22d", - "6d4a20b488ba4c29b3bc2108c420e062", - "1c95d56c4e96495f92dccf013c77495c", - "dbbb8dbdf64d4d539c7369c3d78ee18c", - "4e4825ae6d0c4df889944afc24b11504", - "af309559bc8347e0baa83a11ad819c0a", - "3b1dcd877b244ba2bbd913f33dd03994", - "eb7d1a11319e4c9f9426db3a1580e7c6", - "570bd4aba1cc499abed32fbdb2ecc58c", - "b2354607135a40afb419112cb3c3bdca", - "caa757c9aae94d8e83c1673608c5aa91", - "9ce9ae2b919046648ff14dda3b76f4df", - "d75121ab8162435fa953aedada557b19", - "3bfcff17595e4b4e83abe7dd6f51007f", - "bb88e2f10bc94da4962061531bc6a881", - "5c035815bf7b490aaac61609bb0f5d23", - "cd1326a4ac1041859e0228ce6b935d22", - "ddb25f51655a4a46bfbf6ee4bd26566a", - "43297389ee4d48b39c775d202a623a3e" + "09157084bdae45a0977df1efb9784256", + "66238b3785764003b40420314dde5e11", + "f3f5a3662f014e759ee2be8665c18c55", + "a83221cf85984e47924c2323dce29325", + "10ba987d892d4d9fbab05e69d2bd8a53", + "8dde421530514128b553ee7c64a55b7f", + "930dac4cab2341d0aabfe93ce23d3463", + "1110f2ada1234084b24a2194111c021e", + "1a0ce17acd3c42319a3f309fd46ea096", + "29e3d41fe118471eb9da63689440311f", + "020abf7f84b9425faa06ddc5ea1dd8f1", + "136d76bdfcdc479b85de005cc3df2718", + "08f4952f79aa4c459b733b00bf90621d", + "6004d4d1c78f48e3b04316a5f7681e7b", + "fbc1785a21bf4226aeefa1979e21939a", + "5ef4dcacc6f3433497c2c4a3717f580a", + "9896682ce85140f79483001c58dc8f5b", + "45d51e512af34773af36b969a6ff9da8", + "a581e62da9c849dd991e0e7f5f07bb5c", + "ca44b6b6539a44908fff59e3b17ab5f5", + "b963c73a4acb483c88209a35195d3997", + "70bd83b3e53242c1be7474b93c06bafa", + "d5d2b35bd4494ab5a1d611689786c081", + "692e632171754e9c882146677d1526e0", + "02bff6579c98476387ab72d9d6fcb133", + "ea3731fe8408428685b67b277f936184", + "8208947cbdb341ecbe2755b225ed1a10", + "7bb7f0068c78490998098331a91952be", + "2461c5b20a284c49a2df6e277c3d0a23", + "1c8e7013abe3485b95c9273bee68bf0a", + "2b7de245b1c54fd9b4164d4c4324a640", + "737d3383babd4c76a4b596b559bbec56" ] }, "id": "4dzVyL_s5E_1", - "outputId": "0aa7000d-b1e3-48de-ce81-5fb4d8eb5c76" + "outputId": "dfc85cab-b167-4037-ac45-6df723850017" }, "source": [ "from transformers import AutoTokenizer\n", - "tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased-distilled-squad')\n", + "tokenizer = AutoTokenizer.from_pretrained('twmkn9/distilbert-base-uncased-squad2')\n", "\n", "train_encodings = tokenizer(train_contexts, train_questions, truncation=True, padding=True)\n", "val_encodings = tokenizer(val_contexts, val_questions, truncation=True, padding=True)" ], - "execution_count": 4, + "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "955421fe414346a2bdd9f62a821558df", - "version_minor": 0, - "version_major": 2 + "model_id": "09157084bdae45a0977df1efb9784256", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=28.0, style=ProgressStyle(description_w…" + "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=39.0, style=ProgressStyle(description_w…" ] }, "metadata": { @@ -5095,12 +1442,12 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4ed3c9566b5a46dc8b5b8093de10d680", - "version_minor": 0, - "version_major": 2 + "model_id": "1a0ce17acd3c42319a3f309fd46ea096", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=451.0, style=ProgressStyle(description_…" + "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=478.0, style=ProgressStyle(description_…" ] }, "metadata": { @@ -5118,9 +1465,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "dbbb8dbdf64d4d539c7369c3d78ee18c", - "version_minor": 0, - "version_major": 2 + "model_id": "9896682ce85140f79483001c58dc8f5b", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=231508.0, style=ProgressStyle(descripti…" @@ -5141,12 +1488,12 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9ce9ae2b919046648ff14dda3b76f4df", - "version_minor": 0, - "version_major": 2 + "model_id": "02bff6579c98476387ab72d9d6fcb133", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=466062.0, style=ProgressStyle(descripti…" + "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=112.0, style=ProgressStyle(description_…" ] }, "metadata": { @@ -5186,7 +1533,7 @@ "add_token_positions(train_encodings, train_answers)\n", "add_token_positions(val_encodings, val_answers)" ], - "execution_count": 5, + "execution_count": null, "outputs": [] }, { @@ -5210,7 +1557,7 @@ "train_dataset = SquadDataset(train_encodings)\n", "val_dataset = SquadDataset(val_encodings)" ], - "execution_count": 6, + "execution_count": null, "outputs": [] }, { @@ -5220,35 +1567,35 @@ "base_uri": "https://localhost:8080/", "height": 66, "referenced_widgets": [ - "6e076562d23446f5859f43c35d575de7", - "36859a12128749c9bc1c9f578cf66447", - "497db222a99c456b970cbf487fb3ecf3", - "0432a891458f401b9b9c99bd9abb70b0", - "2bfe76db4b9e49e18e5f0b4161a1a65e", - "e487142234384909a4b920dcb160dfe6", - "125149b3929a42f3a40cac7d7041dbc8", - "46bb9853738f4c58b8671f7836ba9785" + "12c3c1ae064a41f68e7001920a02f25d", + "b1704424ad724751be316e5da3956883", + "1afbfe7c70574d12b62b120be2d8492b", + "44c5f3bbfc0146edaa2ddacd5efea309", + "aa99b392c540426abe69b4ad6efdfd25", + "19480bb7aaf84f3f9aa5518074e74db3", + "ab1cfe58047d4284aa24223240546469", + "6b14cae9c1374672ba443e94578b02ec" ] }, "id": "dI_prcd75NMB", - "outputId": "06a75f62-2c49-4fb3-e7bc-c17ea624dd00" + "outputId": "233e3b4d-1a6e-4f54-b80f-7745183e03e0" }, "source": [ "from transformers import AutoModelForQuestionAnswering\n", - "model = AutoModelForQuestionAnswering.from_pretrained(\"distilbert-base-uncased-distilled-squad\")" + "model = AutoModelForQuestionAnswering.from_pretrained(\"twmkn9/distilbert-base-uncased-squad2\")" ], - "execution_count": 7, + "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6e076562d23446f5859f43c35d575de7", - "version_minor": 0, - "version_major": 2 + "model_id": "12c3c1ae064a41f68e7001920a02f25d", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=265481570.0, style=ProgressStyle(descri…" + "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=265482418.0, style=ProgressStyle(descri…" ] }, "metadata": { @@ -5268,10 +1615,11 @@ "cell_type": "code", "metadata": { "colab": { + "background_save": true, "base_uri": "https://localhost:8080/" }, "id": "PFb0QbR75PGl", - "outputId": "d5d94257-9882-43b0-9726-599225be1d57" + "outputId": "d4814bad-eae7-4933-af07-6f3b6c1efcc6" }, "source": [ "from torch.utils.data import DataLoader\n", @@ -5286,7 +1634,7 @@ "\n", "optim = AdamW(model.parameters(), lr=5e-5)\n", "\n", - "for epoch in range(3):\n", + "for epoch in range(15):\n", " print(\"Epoch: \", epoch+1)\n", " for batch in train_loader:\n", " optim.zero_grad()\n", @@ -5299,14 +1647,26 @@ " loss.backward()\n", " optim.step()" ], - "execution_count": 8, + "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "Epoch: 1\n", "Epoch: 2\n", - "Epoch: 3\n" + "Epoch: 3\n", + "Epoch: 4\n", + "Epoch: 5\n", + "Epoch: 6\n", + "Epoch: 7\n", + "Epoch: 8\n", + "Epoch: 9\n", + "Epoch: 10\n", + "Epoch: 11\n", + "Epoch: 12\n", + "Epoch: 13\n", + "Epoch: 14\n", + "Epoch: 15\n" ], "name": "stdout" } @@ -5315,16 +1675,16 @@ { "cell_type": "code", "metadata": { - "id": "2qPMnzaNa-9k", "colab": { - "base_uri": "https://localhost:8080/" + "background_save": true }, - "outputId": "8b631d9c-72f5-4860-83df-7944c7df7881" + "id": "2qPMnzaNa-9k", + "outputId": "a56a84b0-4e0d-48d4-e86a-aea0dac96593" }, "source": [ "model.eval()" ], - "execution_count": 9, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -5447,13 +1807,16 @@ "metadata": { "tags": [] }, - "execution_count": 9 + "execution_count": 0 } ] }, { "cell_type": "code", "metadata": { + "colab": { + "background_save": true + }, "id": "7gcBoZuGYD1e" }, "source": [ @@ -5627,150 +1990,45 @@ " metrics(f2name)\n", " print('\\n')" ], - "execution_count": 10, + "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { - "id": "iFxULsyEYoAn", "colab": { "base_uri": "https://localhost:8080/", - "height": 973, + "height": 748, "referenced_widgets": [ - "5779ea07dd564193896f09604f3794ce", - "6682b05461a44e428fe79e22d2ad4709", - "a9167f1c907a4440998f47a12d6a8e0d", - "b6ff4d4c07884a9e80212f4408efc2ca", - "195fe1743ccd47679624b55c902f23f8", - "78abbbb8f69943b1b6c338efd2669e9b", - "dfba9ee236744aa08bb31e709246f017", - "66aa84f383a74683823df86c81185653", - "195dcaf7d7aa4ebe82c59adfcb67e38a", - "a0b91df91144409f84a769dbc3d408b9", - "b7b645c6c27e4ff79a407b9a1a2b35c8", - "e0ad99541725426aba633f07cdef2b2c", - "cb85cef7c3cf48aaad9cda0739e11576", - "f126b4d3a23343a89c4790551f60ed0c", - "29952ae958ff4b4faa98ef590de36c98", - "e78529214c1146abbeda3158f4cf9f19", - "19e7cce4829146408f5f95f81da3dd8a", - "a81b572849fc40a4b893f27d870f776e", - "6686511b48b74f1c9bfe5bc58da4cd0e", - "18ff86a01fd546a99aa2ce6c134c89bd", - "5a290eafc2fd4d84818384c72deb06ac", - 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"outputId": "88802718-673b-47a2-8aa4-64384f37de90" + "id": "iFxULsyEYoAn", + "outputId": "43517e04-684b-4cc0-dde0-58b458472e24" }, "source": [ - "run('/distilbert-base-uncased-distilled-squad', model, tokenizer)" + "run('twmkn9/distilbert-base-uncased-squad2', model, tokenizer)" ], "execution_count": 12, "outputs": [ { "output_type": "stream", "text": [ - "distilbert-base-uncased-distilled-squad.txt\n" + "distilbert-base-uncased-squad2.txt\n" ], "name": "stdout" }, @@ -5787,7 +2045,7 @@ { "output_type": "stream", "text": [ - "BLEU: 0.41512398422040203\n", + "BLEU: 0.6044779698023601\n", "[nltk_data] Downloading package punkt to /root/nltk_data...\n", "[nltk_data] Unzipping tokenizers/punkt.zip.\n" ], @@ -5797,9 +2055,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5779ea07dd564193896f09604f3794ce", - "version_minor": 0, - "version_major": 2 + "model_id": "3774c9d7c46a43cd8117b9305daaebf0", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=748.0, style=ProgressStyle(description_…" @@ -5820,9 +2078,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "195dcaf7d7aa4ebe82c59adfcb67e38a", - "version_minor": 0, - "version_major": 2 + "model_id": "0895fbaf465742878ac6111a4c06ee87", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=3975.0, style=ProgressStyle(description…" @@ -5843,9 +2101,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "19e7cce4829146408f5f95f81da3dd8a", - "version_minor": 0, - "version_major": 2 + "model_id": "16c665adc256454d844dc3d50a54a4c5", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=2.0, style=ProgressStyle(description_wi…" @@ -5866,9 +2124,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7e2c472e66ec48558186f12a627bb463", - "version_minor": 0, - "version_major": 2 + "model_id": "5bdf858c64864fc3a2fb7c8d7669a107", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=688.0, style=ProgressStyle(description_…" @@ -5889,9 +2147,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a8ff733bb83145eaafadf0f93f34f12a", - "version_minor": 0, - "version_major": 2 + "model_id": "fca5dfde0bf842fba77ae48cdce0fe5a", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=122.0, style=ProgressStyle(description_…" @@ -5912,9 +2170,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "66fadb9c82da48c58aeef83c31ed6515", - "version_minor": 0, - "version_major": 2 + "model_id": "8f4e52e5dbd049b3b288a060627e76ba", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=456356.0, style=ProgressStyle(descripti…" @@ -5935,9 +2193,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "96d347e2e2874ebc8db98fae1fc5558b", - "version_minor": 0, - "version_major": 2 + "model_id": "88b3b54d290f442fba328381bda7cde4", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=229.0, style=ProgressStyle(description_…" @@ -5958,9 +2216,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "95f458d922c94feea10ee16900ccf47b", - "version_minor": 0, - "version_major": 2 + "model_id": "ae43459b2b2f451fb5dcda1a5bfb8e72", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=498661169.0, style=ProgressStyle(descri…" @@ -5981,9 +2239,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9f8a9b6476d94025887ff044e537b868", - "version_minor": 0, - "version_major": 2 + "model_id": "2e3d641a34b940c3a8905f5f32246c41", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=52.0, style=ProgressStyle(description_w…" @@ -6004,9 +2262,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "da7c56a5a6b94b839789e003d44b10d9", - "version_minor": 0, - "version_major": 2 + "model_id": "3ed96e826a0349218dbc302f6cd930be", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=52.0, style=ProgressStyle(description_w…" @@ -6027,9 +2285,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6af28ae2ff6245d0a1ba72e2db6015f3", - "version_minor": 0, - "version_major": 2 + "model_id": "3022a5238130460982ff476dd660a22f", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=239.0, style=ProgressStyle(description_…" @@ -6050,9 +2308,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0b2c1a3f428c42d6adf19d6ae80331cf", - "version_minor": 0, - "version_major": 2 + "model_id": "5af3aad5dd2948b89bd802fd889b6593", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1355881.0, style=ProgressStyle(descript…" @@ -6073,9 +2331,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4ee10dadc0e84427b23c029e17b48e7d", - "version_minor": 0, - "version_major": 2 + "model_id": "e7889a5d13f04d11b14789b6536e1ff1", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=334.0, style=ProgressStyle(description_…" @@ -6096,9 +2354,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "abbf2eec7244492cb5cc7f78445cf447", - "version_minor": 0, - "version_major": 2 + "model_id": "3b87406fc5ef4c1daebbd2968725b9fb", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=798293.0, style=ProgressStyle(descripti…" @@ -6119,9 +2377,9 @@ "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a7dec02efed744f78aac01e1dae790e7", - "version_minor": 0, - "version_major": 2 + "model_id": "91eb1452803a48779900a29ec840e136", + "version_major": 2, + "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=190.0, style=ProgressStyle(description_…" @@ -6135,9 +2393,9 @@ "output_type": "stream", "text": [ "\n", - "Word2Vec Cosine Similarity: 0.32121119483053917\n", - "WER: 2.0\n", - "TER: 0.6997767857142859\n", + "Word2Vec Cosine Similarity: 0.5945418951672591\n", + "WER: 1.0952380952380953\n", + "TER: 0.45651927437641715\n", "\n", "\n" ],