{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YELVqGxMxnbG", "outputId": "a82687bb-f883-4e7b-a0c2-efb25ec5501b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fri Feb 4 15:33:17 2022 \n", "+-----------------------------------------------------------------------------+\n", "| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |\n", "|-------------------------------+----------------------+----------------------+\n", "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n", "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n", "| | | MIG M. |\n", "|===============================+======================+======================|\n", "| 0 Tesla V100S-PCI... Off | 00000000:00:08.0 Off | 0 |\n", "| N/A 34C P0 54W / 250W | 0MiB / 32510MiB | 100% Default |\n", "| | | N/A |\n", "+-------------------------------+----------------------+----------------------+\n", " \n", "+-----------------------------------------------------------------------------+\n", "| Processes: |\n", "| GPU GI CI PID Type Process name GPU Memory |\n", "| ID ID Usage |\n", "|=============================================================================|\n", "| No running processes found |\n", "+-----------------------------------------------------------------------------+\n" ] } ], "source": [ "gpu_info = !nvidia-smi\n", "gpu_info = '\\n'.join(gpu_info)\n", "if gpu_info.find('failed') >= 0:\n", " print('Not connected to a GPU')\n", "else:\n", " print(gpu_info)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 123, "referenced_widgets": [ "ce7c0523fe0945259eff9020e573a218", "2928d41f4f264ca0b9a31118462c0602", "2710004a535a4300b89f9f588c0e33e7", "95c3dfbff82641efbc32cdf38c3af315", "e75a354f58414a2aba65ac5f96f794d5", "498e0d2721e94804981d2caf9a14e998", "a8acab811f1a4c4480d2fbedecb3ef2d", "3e21794aba48497ab840c5076b766779", "15dce6e6c76b4b338dc8aa6fa70a68fb", "9d8cf219056e480f90b37b862a884f7f", "efc1548fb11249f1b6abf558feb70fdf", "139cb79e652741fb9800938f513a64ee", "132bece034d7436a92131a2d7c5447dd", "f09ffab604c84d10bc8f8a276fc56db8", "789237e5c6f844aaa461002dd4ff81a7", "bc7e8da097354af69a9eb31184b10cd9", "766028d8d74845c29e061423adafcc2f", "0b503fa95f214ca9a4a4f52ca6cf39ea", "01940c92e2124694a353fbe9daa3f519", "906ac30b1a53494292d5464776d4185d", "27192257c291482c9f45352a099fd293", "778e27b2713440a7a0f57b48ce98cac5", "8a02fd0543a04de680b0570df49c4ec7", "7aca3591dbd148e1bf684305f5898e9f", "37786f2415c54cf1a3feb36f51b1a9a1", "32decdfe9bce4359bee27513e12caae4", "af0431f7b5bb4c959c298136a2666c94", "14fb1d361cf04ceb82dc916d3ac62e58", "d0e7bdb7003845f18c57fa102c3d39ff", "dd05c4ec056448eebbd698715e4f206f", "45b52b113a404da9b395b816309cd48e", "99f1c52fc3294096a6614ed8cb0f8678", "3f0a938c876244dab220a0692240c68c", "df0a58bd514d4adb96eefa9c2e348e68", "5f9c66c0890c4732a01e25a3617d677f", "f83bdd44d071406490e036d64af71f86", "b7825d5c508e406da79df3c8d5bbf644", "6eefb11b33e144a8ba2776b450584d67", "910b0c36ffac45a39690e7da4b7bdd30", "f5b86244d5cd4651ab2c7849c3ef40b7", "fffa8820a0b3493cab82c939169016c7", "c01ad658495d499fb1f77f1f6e88091e", "6416eed0c2a24d11a54f99e217b1246b", "ddb765d3e944448ead769abd536452d3", "74222e06c53f46a9a4454214e7fc515b", "24da28b982fe4de5b11997146dc8ef5d", "f1a004bbcfe84b2da8bb9ab33d397de5", "0320e7bb34ab4273ae088c82df4fee0f", "9000f234d4c14beb87d4e82879b858df", "100cee605ec44cf5993d404b9be1ff61", "3b02e2b26f6446fb8ffb8357ff785b65", "c5991408225c4b3cb1f8dd069e947057", "5743625f77ca43779b8f971952e00f5d", "da885d5a5ef84747b9629690f35ecdc9", "10fa9c68afa245a4950e41df9e8c1578", "3bb6ab80915c46e09b42dcb87342959d", "169dcfbe96b544f0a4cf818249174fcb", "3d9b6280f5a249408192664ef7d81c59", "f4be19b71d7442199eda374c4e538009", "3995d68b7cb144549384cdf303f39f64", "be80480c4af1425299ad90f3bf699e60", "0d02bb1653904c8fb4f6a64c8676d721", "7a49ab8162374715ae5c639e9809835d", "49d7f826750f4a66b7bbe03a4afd5de0", "35c17be43018490c9667e8742a5538a5", "8f47611f826b493f9c8da960d5dca80f" ] }, "id": "2MMXcWFFgCXU", "outputId": "f12100b6-e3b1-4b8d-e4c5-85c8343f1e8a" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cs/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sk/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/pl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/hsb/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cs/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cs/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-d4994d0b7887719e.arrow\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sk/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sk/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-014f46642e8f657d.arrow\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/pl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/pl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-ec8eaeaf232057fc.arrow\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/sl/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-87c0b73dd2bf7d79.arrow\n", "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/hsb/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)\n", "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/hsb/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-9197783b2e634703.arrow\n" ] }, { "data": { "text/plain": [ "51319" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from datasets import concatenate_datasets, load_dataset, load_metric, Audio\n", "\n", "cv_cs = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"cs\", split=\"train+validation\", use_auth_token=True)\n", "cv_sk = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"sk\", split=\"train+validation\", use_auth_token=True)\n", "cv_pl = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"pl\", split=\"train+validation\", use_auth_token=True)\n", "cv_sl = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"sl\", split=\"train+validation\", use_auth_token=True)\n", "cv_hsb = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"hsb\", split=\"train+validation\", use_auth_token=True)\n", "common_voice_train = concatenate_datasets([cv_cs, cv_sk, cv_pl, cv_sl, cv_hsb])\n", "common_voice_train = common_voice_train.shuffle()\n", "\n", "def begin(_, i):\n", " return i < 1000\n", "cv_cs_test = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"cs\", split=\"test\", use_auth_token=True).filter(begin, with_indices=True)\n", "cv_sk_test = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"sk\", split=\"test\", use_auth_token=True).filter(begin, with_indices=True)\n", "cv_pl_test = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"pl\", split=\"test\", use_auth_token=True).filter(begin, with_indices=True)\n", "cv_sl_test = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"sl\", split=\"test\", use_auth_token=True).filter(begin, with_indices=True)\n", "cv_hsb_test = load_dataset(\"mozilla-foundation/common_voice_8_0\", \"hsb\", split=\"test\", use_auth_token=True).filter(begin, with_indices=True)\n", "common_voice_test = interleave_datasets([cv_cs_test, cv_sk_test, cv_pl_test, cv_sl_test, cv_hsb_test])\n", "len(common_voice_train)\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "kbyq6lDgQc2a" }, "outputs": [], "source": [ "common_voice_train = common_voice_train.remove_columns([\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"segment\", \"up_votes\"])\n", "common_voice_test = common_voice_test.remove_columns([\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"segment\", \"up_votes\"])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "72737oog2F6U" }, "outputs": [], "source": [ "from datasets import ClassLabel\n", "import random\n", "import pandas as pd\n", "from IPython.display import display, HTML\n", "\n", "def show_random_elements(dataset, num_examples=10):\n", " assert num_examples <= len(dataset), \"Can't pick more elements than there are in the dataset.\"\n", " picks = []\n", " for _ in range(num_examples):\n", " pick = random.randint(0, len(dataset)-1)\n", " while pick in picks:\n", " pick = random.randint(0, len(dataset)-1)\n", " picks.append(pick)\n", " \n", " df = pd.DataFrame(dataset[picks])\n", " display(HTML(df.to_html()))" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 363 }, "id": "K_JUmf3G3b9S", "outputId": "1c220991-320f-470b-b334-992ac78c411e" }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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sentence
0\"\"\"Na ich przepięknym kraju wróg wycisnął piętno hańby.\"\"\"
1On sam bynajmniej nie patrzył na uroczystość z najczarniejszej strony.
2Maďarské předsednictví bude pokračovat v práci svého belgického předchůdce.
3Vrch je zalesněný smíšenými porosty.
4Wohnjowy wobornik pomhaše jimaj po tutym rěblu dom wopušćić.
5Trzeba pilnie przyjąć wnioski dotyczące umocnienia Fronteksu
6Jinak tomu není ani v dalších obchodních řetězcích.
7Specifickou barvou je žlutá.
8Z toho, co jsem měl před tím, jsem tam nic nedal.
9Citlivosť - iso
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_random_elements(common_voice_train.remove_columns([\"path\", \"audio\"]), num_examples=10)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "id": "ZcVsD0ETElrR" }, "outputs": [], "source": [ "import re\n", "chars_to_remove_regex = '[\\,\\?\\.\\!\\-\\;\\:\\/\\\"\\“\\„\\%\\”\\�\\–\\'\\`\\«\\»\\—\\’\\…\\³\\'̌]'\n", "\n", "\n", "CHARS = {\n", " 'ü': 'ue',\n", " 'ö': 'oe',\n", " 'ï': 'i',\n", " 'ë': 'e',\n", " 'ã': 'a',\n", " 'à': 'á',\n", " 'ø': 'o',\n", " 'å': 'ó',\n", " 'î': 'i',\n", " 'ñ': 'ň',\n", " 'ç': 's',\n", " 'ć': 'č',\n", " 'þ': 't',\n", " 'ß': 'ss',\n", " 'ę': 'en',\n", " 'ą': 'an',\n", " 'æ': 'ae',\n", " }\n", "\n", "def replace_chars(sentence):\n", " result = ''\n", " for ch in sentence:\n", " new = CHARS[ch] if ch in CHARS else ch\n", " result += new\n", "\n", " return result\n", "\n", "\n", "def remove_special_characters(batch):\n", " batch[\"sentence\"] = re.sub(chars_to_remove_regex, ' ', batch[\"sentence\"]).lower()\n", " batch[\"sentence\"] = replace_chars(batch['sentence'])\n", " batch[\"sentence\"] = \" \".join([char for char in batch[\"sentence\"].split(\" \") if char != \"\"])\n", " return batch\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "NUiPgNRzoX76", "outputId": "dba17591-1d37-489b-e5a9-ec55bed467bc" }, "outputs": [ { "data": { "text/plain": [ "{'sentence': 'jak se vede bjoerne'}" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "batch = {\"sentence\": \"Jak se vede, /Björne?\"}\n", "remove_special_characters(batch)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 395, "referenced_widgets": [ "f9a0f686f75749f6b403472ed4e23c41", "4a2bf06b19f4463187d55018d95816e1", "e9f7b6f84f1444719a09b4b8596ae0f4", "443b7b937b124b8fb76299c95ae0427c", "c2ad79e0a9ea4c9386103888d5babdfa", "963f4075f46540a9870dc2806216af9e", "7db6c36db0d5499290b09a0f01451f2c", "8f0c1ea28c274345a5748af60f4d55f1", "b071746dc76d4673a47b298a8bc54562", "f9490b9aa92e4d909605d93209a8f746", "81b75ff4e800472c8e3fa5516dbdda01" ] }, "id": "6falIJSBED65", "outputId": "17bdc176-6574-4c95-8ee8-028171eb91a6" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2f59e082a6504ffca377fe638e891577", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0ex [00:00, ?ex/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sentence
0nimo toho su tam online pruwowanja k zwučowanju z wuhódnočenjom wuslědkow přistupne
1še vedno ne govoriš z mano
2uważam że stanowisko rady było naprawden dobrym punktem wyjścia
3v letní sezóně se zde nachází mnoho turistických tras
4wschodzance gospodarki potrzebujan coraz wiencej zasobów których bogactwo znajduje sien w arktyce
5dosáhli jsme všeho co bylo obsaženo ve strategickém programu
6i może zabrzmi to pompatycznie ale stwierdziłem że chcen podjanč sien wyzwania
7v současné době vychází také elektronicky
8kosowo nie jest jeszcze gotowe
9vyšetřováním příčin neštěstí byl pověřen lord peter taylor
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_random_elements(common_voice_train.map(remove_special_characters).remove_columns([\"path\", \"audio\"]), num_examples=10)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 87, "referenced_widgets": [ "0e458554a0bc49989a29d142143c3d75", "037bba1874d949e78e5c119de5c49346", "456b8b329b3146b6ab5c62fa95b09bca", "b475c78857b94d1682ac8a05f721d9e1", "652001e3c17747019f9c586a33ac5f51", "f9514e38321144ceae29a5d66055c3eb", "85a8171857e54c9eab29e6ba66a6f573", "d7174f55c32b48c4be4ef195745ffcce", "75020f745e3448b588edba867ff5f80d", "a5370b4c03e644b780cc95f27c131677", "3015c569defd4355a7a41cd196178c30" ] }, "id": "XIHocAuTQbBR", "outputId": "a12a767f-c745-483a-e34f-c166cbc449b5" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cs/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-43b574eb63589540.arrow\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0ba4b302a6184e8f9675b638ccfd9424", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0ex [00:00, ?ex/s]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "common_voice_train = common_voice_train.map(remove_special_characters)\n", "common_voice_test = common_voice_test.map(remove_special_characters)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 363 }, "id": "RBDRAAYxRE6n", "outputId": "51d5ce04-ddab-4696-d220-4de82e45f2db" }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sentence
0artykuł zaciekawił niezmiernie cały świat naukowy
1v digitálnych sociálnych a humanitných vedách možno dáta rozdeliť na dva druhy
2ta ples je utrjen v izvedbi
3nie to nie ma sensu i poza tym nie mogen obiecač
4myślał o doli ale ta sien nie pokazywała
5anjel
6w zwianzku z tym głównymi źródłami emisji dwutlenku wengla po ociepleniu san oceany
7poté pracoval v curychu a nakonec v berlíně
8jako kdyby se něco zlého mělo stát
9nesmíme vynášet žádné politické ani ekonomické soudy
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_random_elements(common_voice_train.remove_columns([\"path\",\"audio\"]))" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "LwCshNbbeRZR" }, "outputs": [], "source": [ "def extract_all_chars(batch):\n", " all_text = \" \".join(batch[\"sentence\"])\n", " vocab = list(set(all_text))\n", " return {\"vocab\": [vocab], \"all_text\": [all_text]}" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 81, "referenced_widgets": [ "f5973eb0a46649d687b6b39f9eb6ffa8", "aa8f567a963e45a6aec3c45b115237b0", "475d142e1b534033a1eccd883071eead", "3eb9f71f91e64ef9aa52f09b653dbf1d", "acf1dc77638041d5ae9c44f8bfc6f4bd", "ae7e4f8ea7924fea87e5992f7f432b06", "e2bae0a5e3064e30a38577e7eb42c80d", "8f8867a2bae648d49250492abf91bfdc", "a595885e78b84450b737b75f30240241", "627328b576ba467abe48eb9e560eaefe", "f59165b748264c289de5a31fd12d4346", "547084e427ac480eb4df3d9e2b74c2a7", "73168e226d4740a4b8cebb119b262f73", "d105bf5fa4b941ae8e04c38094d46b30", "26fc7d20bc344ee4b73feb32be518235", "5a570f67cfeb4a079c1c7061a1be2090", "aaa5b759b4264a079b7f29168e4e6154", "8cc5dce835864f12bf07206068c76ed9", "68b2db3dd6b8448385258e8491e3764b", "e325fed7d2e64a3ca96ac7a7660786d5", "6e55def79a344b62a7f5bcbf3be3a816", "5c5ea9c8e4974b4db55eee20726f9aa6" ] }, "id": "_m6uUjjcfbjH", "outputId": "edb40365-d4aa-4ef1-c8d8-870e6a5d9e6e" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "58a839beab2a46ecb3202438d5d30fe5", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/1 [00:00\n", " \n", " Your browser does not support the audio element.\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import IPython.display as ipd\n", "import numpy as np\n", "import random\n", "\n", "rand_int = random.randint(0, len(common_voice_train)-1)\n", "\n", "print(common_voice_train[rand_int][\"sentence\"])\n", "ipd.Audio(data=common_voice_train[rand_int][\"audio\"][\"array\"], autoplay=True, rate=16000)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1Po2g7YPuRTx", "outputId": "97d86ad2-b5a1-444f-8c7d-f5d807529f90" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Target text: několikrát byl v boji raněn\n", "Input array shape: (51840,)\n", "Sampling rate: 16000\n" ] } ], "source": [ "rand_int = random.randint(0, len(common_voice_train)-1)\n", "\n", "print(\"Target text:\", common_voice_train[rand_int][\"sentence\"])\n", "print(\"Input array shape:\", common_voice_train[rand_int][\"audio\"][\"array\"].shape)\n", "print(\"Sampling rate:\", common_voice_train[rand_int][\"audio\"][\"sampling_rate\"])" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "eJY7I0XAwe9p" }, "outputs": [], "source": [ "def prepare_dataset(batch):\n", " audio = batch[\"audio\"]\n", "\n", " # batched output is \"un-batched\"\n", " batch[\"input_values\"] = processor(audio[\"array\"], sampling_rate=audio[\"sampling_rate\"]).input_values[0]\n", " batch[\"input_length\"] = len(batch[\"input_values\"])\n", " \n", " with processor.as_target_processor():\n", " batch[\"labels\"] = processor(batch[\"sentence\"]).input_ids\n", " return batch" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 81, "referenced_widgets": [ "c47ea368dd08403aa09b2bafdbb4b580", "e77cf973d5824ae7b89bafd814805c2a", "071b7647e1fe49609a48e4281a9efd0f", "c97c00fcf2e64f18b637337f9244d748", "9ca82fa27d1043e9ac9f10301e0b33bc", "cc6c7e9931c140db8ba7a977c4461ce5", "d207784bda7e4dd8858170f470ae2833", "0800fef7de6e45d380873f974882d67e", "926440595aa44c698588e02b86eb8c4c", "ea2806c776384f1a90e36b72c2c17a44", "6b72385c07134782995fcd76e675da7c", "3653b92c9f2a408eac253e1d5153daf4", "73ffd9b8166c4ec78ff2b62d17690327", "6b133a1e11e44f68846ff931446559cf", "7c98818547c84af7ba9284bc20101691", "41b501a16b2a4f709197af5cdd5227cb", "3b4fbe2916894e48b8f93ca63e203aca", "c002386685c0413d8181b054d3f9d49f", "cfb70829b5e1461abcb01872b74a194c", "ed943db2b5274022a606ce4103d54425", "cfb242eb549c4e66afcedefb575b4e38", "a0313055d29f4a60837e59ac4d8a3870" ] }, "id": "-np9xYK-wl8q", "outputId": "573f6f67-e5b2-4977-a564-3919e7903592" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fa43c18f72424c3781ac56ff1f124ecb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0ex [00:00, ?ex/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d9d13248830449a4a0cbcd11d4a589bd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0ex [00:00, ?ex/s]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "common_voice_train = common_voice_train.map(prepare_dataset, remove_columns=common_voice_train.column_names)\n", "common_voice_test = common_voice_test.map(prepare_dataset, remove_columns=common_voice_test.column_names)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "id": "tborvC9hx88e" }, "outputs": [], "source": [ "import torch\n", "\n", "from dataclasses import dataclass, field\n", "from typing import Any, Dict, List, Optional, Union\n", "\n", "@dataclass\n", "class DataCollatorCTCWithPadding:\n", " \"\"\"\n", " Data collator that will dynamically pad the inputs received.\n", " Args:\n", " processor (:class:`~transformers.Wav2Vec2Processor`)\n", " The processor used for proccessing the data.\n", " padding (:obj:`bool`, :obj:`str` or :class:`~transformers.tokenization_utils_base.PaddingStrategy`, `optional`, defaults to :obj:`True`):\n", " Select a strategy to pad the returned sequences (according to the model's padding side and padding index)\n", " among:\n", " * :obj:`True` or :obj:`'longest'`: Pad to the longest sequence in the batch (or no padding if only a single\n", " sequence if provided).\n", " * :obj:`'max_length'`: Pad to a maximum length specified with the argument :obj:`max_length` or to the\n", " maximum acceptable input length for the model if that argument is not provided.\n", " * :obj:`False` or :obj:`'do_not_pad'` (default): No padding (i.e., can output a batch with sequences of\n", " different lengths).\n", " \"\"\"\n", "\n", " processor: Wav2Vec2Processor\n", " padding: Union[bool, str] = True\n", "\n", " def __call__(self, features: List[Dict[str, Union[List[int], torch.Tensor]]]) -> Dict[str, torch.Tensor]:\n", " # split inputs and labels since they have to be of different lenghts and need\n", " # different padding methods\n", " input_features = [{\"input_values\": feature[\"input_values\"]} for feature in features]\n", " label_features = [{\"input_ids\": feature[\"labels\"]} for feature in features]\n", "\n", " batch = self.processor.pad(\n", " input_features,\n", " padding=self.padding,\n", " return_tensors=\"pt\",\n", " )\n", " with self.processor.as_target_processor():\n", " labels_batch = self.processor.pad(\n", " label_features,\n", " padding=self.padding,\n", " return_tensors=\"pt\",\n", " )\n", "\n", " # replace padding with -100 to ignore loss correctly\n", " labels = labels_batch[\"input_ids\"].masked_fill(labels_batch.attention_mask.ne(1), -100)\n", "\n", " batch[\"labels\"] = labels\n", "\n", " return batch" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "lbQf5GuZyQ4_" }, "outputs": [], "source": [ "data_collator = DataCollatorCTCWithPadding(processor=processor, padding=True)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "id": "9Xsux2gmyXso" }, "outputs": [], "source": [ "wer_metric = load_metric(\"wer\")\n", "cer_metric = load_metric(\"cer\")\n", "metrics = [wer_metric, cer_metric]" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "1XZ-kjweyTy_" }, "outputs": [], "source": [ "def compute_metrics(pred):\n", " pred_logits = pred.predictions\n", " pred_ids = np.argmax(pred_logits, axis=-1)\n", "\n", " pred.label_ids[pred.label_ids == -100] = processor.tokenizer.pad_token_id\n", "\n", " pred_str = processor.batch_decode(pred_ids)\n", " # we do not want to group tokens when computing the metrics\n", " label_str = processor.batch_decode(pred.label_ids, group_tokens=False)\n", "\n", " wer = wer_metric.compute(predictions=pred_str, references=label_str)\n", " cer = cer_metric.compute(predictions=pred_str, references=label_str)\n", "\n", " return {\"wer\": wer, \"cer\": cer}" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "e7cqAWIayn6w", "outputId": "7a7ef020-bc8f-41e2-846c-645be598312e" }, "outputs": [], "source": [ "from transformers import Wav2Vec2ForCTC\n", "\n", "model = Wav2Vec2ForCTC.from_pretrained(\n", " #\"facebook/wav2vec2-xls-r-300m\", \n", " 'comodoro/'+repo_name,\n", " attention_dropout=0.1,\n", " hidden_dropout=0.1,\n", " feat_proj_dropout=0.0,\n", " mask_time_prob=0.05,\n", " layerdrop=0.1,\n", " ctc_loss_reduction=\"mean\", \n", " pad_token_id=processor.tokenizer.pad_token_id,\n", " vocab_size=len(processor.tokenizer),\n", ")" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "id": "oGI8zObtZ3V0" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1680: FutureWarning: The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5.Please use the equivalent `freeze_feature_encoder` method instead.\n", " warnings.warn(\n" ] } ], "source": [ "model.freeze_feature_extractor()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "id": "KbeKSV7uzGPP" }, "outputs": [], "source": [ "from transformers import TrainingArguments\n", "\n", "training_args = TrainingArguments(\n", " output_dir=repo_name,\n", " group_by_length=True,\n", " per_device_train_batch_size=16,\n", " per_device_eval_batch_size=16,\n", " gradient_accumulation_steps=1,\n", " eval_accumulation_steps=1,\n", " evaluation_strategy=\"steps\",\n", " num_train_epochs=30,\n", " gradient_checkpointing=True,\n", " fp16=True,\n", " save_steps=400,\n", " eval_steps=400,\n", " logging_steps=400,\n", " learning_rate=1e-3,\n", " warmup_steps=500,\n", " save_total_limit=2,\n", " report_to=\"tensorboard\"\n", ")" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rY7vBmFCPFgC", "outputId": "a180bf3f-f798-4947-ff58-207d7aaab695" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using amp half precision backend\n" ] } ], "source": [ "from transformers import Trainer\n", "\n", "trainer = Trainer(\n", " model=model,\n", " data_collator=data_collator,\n", " args=training_args,\n", " compute_metrics=compute_metrics,\n", " train_dataset=common_voice_train,\n", " eval_dataset=common_voice_test,\n", " tokenizer=processor.feature_extractor,\n", ")" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 312 }, "id": "9fRr9TG5pGBl", "outputId": "8bdf1d11-bca1-46af-db67-518f85586f7a" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "The following columns in the training set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "/opt/conda/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use thePyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", " warnings.warn(\n", "***** Running training *****\n", " Num examples = 51319\n", " Num Epochs = 30\n", " Instantaneous batch size per device = 16\n", " Total train batch size (w. parallel, distributed & accumulation) = 16\n", " Gradient Accumulation steps = 1\n", " Total optimization steps = 96240\n" ] }, { "data": { "text/html": [ "\n", "
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StepTraining LossValidation LossWerCer
4000.9101001.3278130.9239970.377648
8001.0394001.3070680.9373660.377340
12000.9828001.1025840.9037600.337643
16000.9484001.1863010.9301280.372782
20000.9240001.0841740.9153560.332872
24000.9171001.0795070.9027250.336968
28000.8904001.0259620.8817490.312745
32000.8827001.0149440.8812320.313586
36000.8025000.9553890.8566360.291896
40000.8164000.9552740.8462960.287291
44000.7977000.9095100.8417170.275818
48000.7924000.9129420.8428980.273415
52000.7803000.8733260.8360290.270278
56000.7658000.9557850.8505800.290475
60000.7719000.8859200.8255410.273510
64000.7681000.9009550.8233250.272468
68000.7190000.9040710.8277570.274066
72000.7125000.9322250.8264270.279856
76000.7146000.8760980.8217740.259776
80000.7125000.8561000.7994680.252104
84000.6866000.8670600.8069280.260652
88000.6947000.8460080.8021270.255242
92000.6951000.9447150.8321880.285420
96000.6941000.8405070.7970310.255206
100000.6399000.8147970.7835880.241129
104000.6304000.8468380.7852870.253300
108000.6304000.8232220.7827760.247286
112000.6245000.8247780.7807810.244291
116000.6335000.8326640.7917870.249227
120000.6270000.7754190.7724350.232392
124000.6353000.8271630.7786390.247250
128000.6275000.7951630.7769410.243024
132000.5833000.8671810.7762020.254756
136000.5737000.8557010.7779750.246836
140000.5755000.8144740.7671910.242491
144000.5955000.7697820.7742080.233872
148000.5817000.8023520.7733220.239886
152000.5838000.8634440.7726570.256639
156000.5897000.8624740.7671170.253928
160000.5781000.8160250.7609130.239413
164000.5231000.8437610.7595100.241958
168000.5233000.7732270.7592140.234156
172000.5217000.7993110.7468060.233612
176000.5260000.8016710.7496860.236548
180000.5317000.8478920.7740600.244729
184000.5330000.7569950.7506460.230119
188000.5285000.7806710.7526410.235672
192000.5302000.8181570.7641630.244243
196000.4828000.8361670.7604700.241189
200000.4909000.8457460.7505720.231800
204000.5027000.7772520.7389020.223489
208000.4882000.7870410.7443680.225573
212000.4905000.8084010.7482830.229219
216000.4956000.7607970.7337320.223335
220000.5017000.8207590.7368340.229124
224000.4903000.7459170.7297440.217889
228000.4559000.7698470.7205110.222672
232000.4520000.8546750.7394930.238146
236000.4604000.8449760.7291530.229480
240000.4553000.7917750.7249430.229420
244000.4628000.7893880.7206590.223015
248000.4599000.7548490.7176310.219535
252000.4640000.7979420.7307780.235790
256000.4523000.7507560.6999040.210845
260000.4264000.8061150.7126080.219783
264000.4224000.7583660.7024890.213935
268000.4292000.8340690.7166700.229018
272000.4215000.8030200.7134200.227727
276000.4284000.7223690.6905240.200450
280000.4236000.7212790.6913360.206358
284000.4309000.7132920.6841720.204179
288000.4327000.7432890.6925180.207790
292000.4003000.8330720.7078810.221832
296000.3927000.8359500.7092840.229243
300000.3948000.7641070.6917050.207601
304000.3954000.8030030.7025630.220150
308000.3952000.7945040.6997560.212869
312000.4033000.7862100.7052960.220245
316000.4045000.7731840.6866090.209294
320000.3943000.7438070.6826210.201208
324000.3761000.8583410.7103180.228627
328000.3667000.8376220.7074380.223300
332000.3717000.8156150.6984270.217048
336000.3664000.7961730.6849840.207968
340000.3707000.7982230.7005690.222388
344000.3682000.7325540.6867570.207743
348000.3763000.7682740.6785580.206665
352000.3728000.7860300.6914100.217238
356000.3516000.8059700.6897110.213509
360000.3447000.8501160.7001990.228012
364000.3496000.8336660.6987960.220458
368000.3497000.8532470.6982050.221536
372000.3597000.7812520.6851320.211046
376000.3517000.9101520.7017500.224294
380000.3509000.7699750.6807000.210430
384000.3451000.8698650.6911150.220150
388000.3275000.8662220.6820300.213532
392000.3201000.8284930.6699170.204830
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400000.3223000.8056250.6774500.208276
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408000.3235000.8619690.6725020.210146
412000.3251000.7632250.6679220.199337
416000.3298000.8052590.6700640.206334
420000.3055000.8806440.6753820.206950
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428000.3006000.7539810.6499740.189286
432000.3072000.8274080.6631210.198686

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-1600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-2800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-3600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-4800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-5600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-6800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-7600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-8800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-9600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-10800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-11600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-12800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-13600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-14800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-15600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-16800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-17600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-18800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-19600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-20800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-21600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-22800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-23600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-24800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-25600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-26800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-27600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-28800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-29600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-30800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-31600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-32800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-33600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-34800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-35600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-36800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-37600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-38800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-39600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40400] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41600\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41600/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41600/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41600/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-40800] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42000\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42000/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42000/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42000/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41200] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42400\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42400/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42400/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42400/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-41600] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42800\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42800/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42800/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42800/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42000] due to args.save_total_limit\n", "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n", "***** Running Evaluation *****\n", " Num examples = 2090\n", " Batch size = 16\n", "Saving model checkpoint to wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-43200\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-43200/config.json\n", "Model weights saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-43200/pytorch_model.bin\n", "Configuration saved in wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-43200/preprocessor_config.json\n", "Deleting older checkpoint [wav2vec2-xls-r-300m-west-slavic-cv8/checkpoint-42400] due to args.save_total_limit\n" ] }, { "ename": "KeyboardInterrupt", "evalue": "", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m 1363\u001b[0m \u001b[0mtr_loss_step\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1364\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1365\u001b[0;31m \u001b[0mtr_loss_step\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1367\u001b[0m if (\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mtraining_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m 1948\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1949\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_grad_scaling\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1950\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscaler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscale\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1951\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muse_apex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1952\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mamp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscale_loss\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mscaled_loss\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/torch/_tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m 305\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 306\u001b[0m inputs=inputs)\n\u001b[0;32m--> 307\u001b[0;31m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 308\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 309\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m 155\u001b[0m \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 156\u001b[0m allow_unreachable=True, accumulate_grad=True) # allow_unreachable flag\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: " ] } ], "source": [ "trainer.train()" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Dropping the following result as it does not have all the necessary fields:\n", "{}\n" ] } ], "source": [ "trainer.create_model_card()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "model.push_to_hub(repo_url='https://huggingface.co/comodoro/wav2vec2-xls-r-300m-west-slavic-cv8')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pwd" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] 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