Wav2VecTrain_Example.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/distractedm1nd/mar2moon/blob/main/Wav2VecTrain_Example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "outputs": [
        {
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          "text": [
            "Requirement already satisfied: datasets==1.4.1 in /usr/local/lib/python3.7/dist-packages (1.4.1)\n",
            "Requirement already satisfied: huggingface-hub==0.0.2 in /usr/local/lib/python3.7/dist-packages (from datasets==1.4.1) (0.0.2)\n",
            "Requirement already satisfied: pyarrow>=0.17.1 in /usr/local/lib/python3.7/dist-packages (from datasets==1.4.1) (3.0.0)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.7/dist-packages (from datasets==1.4.1) (2.23.0)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from datasets==1.4.1) (1.1.5)\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kDRGzFznMtqg"
      },
      "source": [
        "#NOTE\n",
        "Really need to clean this file up, but has to wait a little bit... will focus on script for gathering the audio files from Tristans batch :)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 469
        },
        "id": "4c27R6EK1Oqz",
        "outputId": "49bcbd07-7704-4c5f-9903-b192d6c64687"
      },
      "source": [
        "from datasets import Dataset\n",
        "from IPython.display import display, HTML\n",
        "import pandas as pd\n",
        "import re\n",
        "import random\n",
        "\n",
        "df = pd.read_csv(\"data.csv\", sep=\";\", names=[\"Podcast\", \"Timestamp\", \"Timestamp(seconds)\", \"text\", \"keywords\"])\n",
        "df[\"file\"] = df.apply(lambda x: f\"output/{x.name}.wav\", axis=1)\n",
        "batch = Dataset.from_pandas(df).shuffle().train_test_split(test_size=0.3)\n",
        "df.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Podcast</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>Timestamp(seconds)</th>\n",
              "      <th>text</th>\n",
              "      <th>keywords</th>\n",
              "      <th>file</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LexFridman-Vitalik-2021-06-03</td>\n",
              "      <td>00:27</td>\n",
              "      <td>27.0</td>\n",
              "      <td>Bitcoin and many other cryptocurrencies have b...</td>\n",
              "      <td>Bitcoin, Cryptocurrencies</td>\n",
              "      <td>output/0.wav</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>LexFridman-Vitalik-2021-06-03</td>\n",
              "      <td>17:40</td>\n",
              "      <td>1060.0</td>\n",
              "      <td>Mmm I definitely see Ethereum as uh being a me...</td>\n",
              "      <td>Ethereum</td>\n",
              "      <td>output/1.wav</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>LexFridman-Vitalik-2021-06-03</td>\n",
              "      <td>18:52</td>\n",
              "      <td>1132.0</td>\n",
              "      <td>I mentioned Ethereum challenges the power cent...</td>\n",
              "      <td>Ethereum</td>\n",
              "      <td>output/2.wav</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>LexFridman-Vitalik-2021-06-03</td>\n",
              "      <td>23:08</td>\n",
              "      <td>1388.0</td>\n",
              "      <td>If uh if cryptocurrency if Ethereum runs the w...</td>\n",
              "      <td>Ethereum, cryptocurrency</td>\n",
              "      <td>output/3.wav</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>LexFridman-Vitalik-2021-06-03</td>\n",
              "      <td>40:47</td>\n",
              "      <td>2447.0</td>\n",
              "      <td>Miner extractable value as an existential risk...</td>\n",
              "      <td>Ethereum, Miner, Value</td>\n",
              "      <td>output/4.wav</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         Podcast  ...          file\n",
              "0  LexFridman-Vitalik-2021-06-03  ...  output/0.wav\n",
              "1  LexFridman-Vitalik-2021-06-03  ...  output/1.wav\n",
              "2  LexFridman-Vitalik-2021-06-03  ...  output/2.wav\n",
              "3  LexFridman-Vitalik-2021-06-03  ...  output/3.wav\n",
              "4  LexFridman-Vitalik-2021-06-03  ...  output/4.wav\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 116,
          "referenced_widgets": [
            "d6073d807f1e4a9792c9ccbf1b17353b",
            "a1a82377570f407d9eeef7220c2aba23",
            "4c9ff3a7bcfa41e692983f6f89b84520",
            "2a42d8bb76d649a9975658aa07c25998",
            "773e336d3a944b94915cce9d32d40c47",
            "92e782143ccc425383dd22a48f7c9e17",
            "bed9b2ebf2ba4a48b3eab6ca24657e10",
            "d5574e3555174b02acea1760cea64c38",
            "f040fbdf61904b05b782db2d96143b5d",
            "1040e7e322e7473392a24a36c0291a70",
            "126f82d577d449d4a792c47454256768",
            "87bcb3ac33dd4d5fb09da525f9900571",
            "57057fb0a36a429f8ae9260a309464ee",
            "b375fb61c0f2403b8e69a683eb8633d6",
            "8b3ecc3229c34bd3bb32d0181cb61cdf",
            "bb2a5ecba1904e058ff7acd9eeca61da"
          ]
        },
        "id": "3_aD2Wr81Oq4",
        "outputId": "fcd7ba35-0a1e-4afc-a9a0-1680b7f443ca"
      },
      "source": [
        "chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\\"]'\n",
        "\n",
        "def remove_special_characters(batch):\n",
        "    batch[\"text\"] = re.sub(chars_to_ignore_regex, '', batch[\"text\"]).lower() + \" \"\n",
        "    return batch\n",
        "\n",
        "batch = batch.map(remove_special_characters)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d6073d807f1e4a9792c9ccbf1b17353b",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=28.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f040fbdf61904b05b782db2d96143b5d",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=13.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 602,
          "referenced_widgets": [
            "468ed0b9c96d45398d8d279d8f657561",
            "3e4bb2550605435b934994ec4153b7a4",
            "57b05ca9919f45abb3c4d62918e703e1",
            "e80b1ece99504aee9a547a2ff396fab3",
            "a1d11e92154547019cbe00db87208f12",
            "121ffaaf31114a6dac8b0ee56e67c93b",
            "094f2f1f195548f8a79cd65d9c652bec",
            "4355f3d06a5e447c8c68de589a56a82e",
            "246b3efc38bf4cb5bac74e9c944a927c",
            "0f8b33de1a9b42049e863c70d3beee39",
            "8e4f174c0f0f4261a6f71e886cfe02ae",
            "5aecee7f17794924952db154bb903a34",
            "bcf880f77efb4638990a298d575b606b",
            "9b38972e64c14fac992e96a9cee079e4",
            "626bece5aab741e8b6662659a04af6c9",
            "a6774e0ce6764aff81876521bc9bd5f6"
          ]
        },
        "id": "pY7dxga21Oq5",
        "outputId": "b18a3a41-922c-461d-db59-2c48dc9ad3c9"
      },
      "source": [
        "def extract_all_chars(batch):\n",
        "    all_text = \" \".join(batch[\"text\"])\n",
        "    vocab = list(set(all_text))\n",
        "    return {\"vocab\": [vocab], \"all_text\": [all_text]}\n",
        "\n",
        "vocabs = batch.map(extract_all_chars, batched=True, batch_size=-1, keep_in_memory=True, remove_columns=batch.column_names[\"train\"])\n",
        "\n",
        "vocab_list = list(set(vocabs[\"train\"][\"vocab\"][0]) | set(vocabs[\"test\"][\"vocab\"][0]))\n",
        "vocab_dict = {v: k for k, v in enumerate(vocab_list)}\n",
        "vocab_dict"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "468ed0b9c96d45398d8d279d8f657561",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "246b3efc38bf4cb5bac74e9c944a927c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{' ': 17,\n",
              " \"'\": 9,\n",
              " 'a': 4,\n",
              " 'b': 26,\n",
              " 'c': 6,\n",
              " 'd': 7,\n",
              " 'e': 0,\n",
              " 'f': 24,\n",
              " 'g': 11,\n",
              " 'h': 14,\n",
              " 'i': 23,\n",
              " 'j': 25,\n",
              " 'k': 15,\n",
              " 'l': 13,\n",
              " 'm': 27,\n",
              " 'n': 21,\n",
              " 'o': 22,\n",
              " 'p': 20,\n",
              " 'q': 8,\n",
              " 'r': 12,\n",
              " 's': 5,\n",
              " 't': 2,\n",
              " 'u': 3,\n",
              " 'v': 19,\n",
              " 'w': 16,\n",
              " 'x': 18,\n",
              " 'y': 1,\n",
              " 'z': 10}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x1_OinYJ1Oq6",
        "outputId": "2fefaaa1-96b3-499a-feac-aafec60df0d2"
      },
      "source": [
        "vocab_dict[\"|\"] = vocab_dict[\" \"]\n",
        "del vocab_dict[\" \"]\n",
        "\n",
        "vocab_dict[\"[UNK]\"] = len(vocab_dict)\n",
        "vocab_dict[\"[PAD]\"] = len(vocab_dict)\n",
        "print(len(vocab_dict))"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "30\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "EqzIJtFP1Oq7"
      },
      "source": [
        "import json\n",
        "with open('vocab2.json', 'w') as vocab_file:\n",
        "    json.dump(vocab_dict, vocab_file)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "ZXvcg3xs1Oq7"
      },
      "source": [
        "from transformers import Wav2Vec2CTCTokenizer\n",
        "\n",
        "tokenizer = Wav2Vec2CTCTokenizer(\"./vocab2.json\", unk_token=\"[UNK]\", pad_token=\"[PAD]\", word_delimiter_token=\"|\")"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "SY08B9m91Oq7"
      },
      "source": [
        "#from pydub import AudioSegment\n",
        "#for i in range(45):\n",
        "#    sound = AudioSegment.from_wav(f\"Data/audio/{i + 1}.wav\")\n",
        "#    sound = sound.set_channels(1)\n",
        "#    sound = sound.set_frame_rate(16000)\n",
        "#    sound.export(f\"Data/audio/{i+1}.wav\", format=\"wav\")"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "6RgDn19b1Oq8"
      },
      "source": [
        "from transformers import Wav2Vec2FeatureExtractor\n",
        "\n",
        "feature_extractor = Wav2Vec2FeatureExtractor(feature_size=1, sampling_rate=16000, padding_value=0.0, do_normalize=True, return_attention_mask=True)"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "ueen5Xu41Oq9"
      },
      "source": [
        "from transformers import Wav2Vec2Processor\n",
        "\n",
        "processor = Wav2Vec2Processor(feature_extractor=feature_extractor, tokenizer=tokenizer)\n",
        "#processor = Wav2Vec2Processor.from_pretrained(\"facebook/wav2vec2-large-960h\")\n",
        "processor.save_pretrained(\"wav2vec2-base-processor\")"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447,
          "referenced_widgets": [
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          ]
        },
        "id": "34ZVS_fV1Oq9",
        "outputId": "2c2ac9fb-841c-4f4d-dd21-807ecd0754b4"
      },
      "source": [
        "import soundfile as sf\n",
        "def speech_file_to_array_fn(batch):\n",
        "    speech_array, sampling_rate = sf.read(batch[\"file\"])\n",
        "    batch[\"speech\"] = speech_array\n",
        "    batch[\"sampling_rate\"] = sampling_rate\n",
        "    batch[\"target_text\"] = batch[\"text\"]\n",
        "    return batch\n",
        "\n",
        "batch = batch.map(speech_file_to_array_fn, remove_columns=batch.column_names[\"train\"], num_proc=4)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "    "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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              "HBox(children=(FloatProgress(value=0.0, description='#0', max=7.0, style=ProgressStyle(description_width='init…"
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        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "    "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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              "HBox(children=(FloatProgress(value=0.0, description='#0', max=4.0, style=ProgressStyle(description_width='init…"
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        {
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        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 61
        },
        "id": "HCua5YYZ1Oq-",
        "outputId": "257af6de-580c-48d6-dcf3-c6a9690f83ed"
      },
      "source": [
        "import IPython.display as ipd\n",
        "import numpy as np\n",
        "import random\n",
        "\n",
        "\n",
        "ipd.Audio(data=np.asarray(batch[\"train\"][0][\"speech\"]), autoplay=False, rate=16000)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516,
          "referenced_widgets": [
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          ]
        },
        "id": "jF9bN-pR1Oq_",
        "outputId": "36842f1a-faa0-4ef7-d9c5-3ed33599195a"
      },
      "source": [
        "def prepare_dataset(batch):\n",
        "    # check that all files have the correct sampling rate\n",
        "    assert (\n",
        "        len(set(batch[\"sampling_rate\"])) == 1\n",
        "    ), f\"Make sure all inputs have the same sampling rate of {processor.feature_extractor.sampling_rate}.\"\n",
        "\n",
        "    batch[\"input_values\"] = processor(batch[\"speech\"], sampling_rate=batch[\"sampling_rate\"][0]).input_values\n",
        "\n",
        "    with processor.as_target_processor():\n",
        "        batch[\"labels\"] = processor(batch[\"target_text\"]).input_ids\n",
        "    return batch\n",
        "\n",
        "batch_prepared = batch.map(prepare_dataset, remove_columns=batch.column_names[\"train\"], num_proc=4, batched=True, batch_size=8)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "29c199958c9f454091bcd462e16b58e6",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='#0', max=1.0, style=ProgressStyle(description_width='init…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            " "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e9178ef6b7384a0893a61e1885a7b53f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='#1', max=1.0, style=ProgressStyle(description_width='init…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "  "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "4b5d639621fc4500bf2a6cfdd05ecb3c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='#2', max=1.0, style=ProgressStyle(description_width='init…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "4376d80798474cb1a4a1f70e6a1b28c6",
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            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='#3', max=1.0, style=ProgressStyle(description_width='init…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "  "
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "c06ddde7835349aea36e6ca30dfc6706",
              "version_minor": 0,
              "version_major": 2
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            "\n",
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "qt7dEbNC1OrA"
      },
      "source": [
        "import torch\n",
        "from datasets import load_metric\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",
        "        max_length (:obj:`int`, `optional`):\n",
        "            Maximum length of the ``input_values`` of the returned list and optionally padding length (see above).\n",
        "        max_length_labels (:obj:`int`, `optional`):\n",
        "            Maximum length of the ``labels`` returned list and optionally padding length (see above).\n",
        "        pad_to_multiple_of (:obj:`int`, `optional`):\n",
        "            If set will pad the sequence to a multiple of the provided value.\n",
        "            This is especially useful to enable the use of Tensor Cores on NVIDIA hardware with compute capability >=\n",
        "            7.5 (Volta).\n",
        "    \"\"\"\n",
        "\n",
        "    processor: Wav2Vec2Processor\n",
        "    padding: Union[bool, str] = True\n",
        "    max_length: Optional[int] = None\n",
        "    max_length_labels: Optional[int] = None\n",
        "    pad_to_multiple_of: Optional[int] = None\n",
        "    pad_to_multiple_of_labels: Optional[int] = None\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",
        "            max_length=self.max_length,\n",
        "            pad_to_multiple_of=self.pad_to_multiple_of,\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",
        "                max_length=self.max_length_labels,\n",
        "                pad_to_multiple_of=self.pad_to_multiple_of_labels,\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\n",
        "\n",
        "data_collator = DataCollatorCTCWithPadding(processor=processor, padding=True)\n",
        "wer_metric = load_metric(\"wer\")\n",
        "\n",
        "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",
        "\n",
        "    return {\"wer\": wer}\n",
        "\n"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "-Pi2f-h81OrA",
        "outputId": "9f0a51f3-4b22-4742-ed45-ac399ede06dd"
      },
      "source": [
        "pd.DataFrame(batch_prepared[\"train\"])"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>input_values</th>\n",
              "      <th>labels</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[-0.7773767100600254, -0.7573835922774863, -0....</td>\n",
              "      <td>[23, 17, 27, 0, 4, 21, 17, 2, 14, 23, 5, 17, 2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[-0.000795677432079015, -0.001043837579625437,...</td>\n",
              "      <td>[27, 4, 1, 26, 0, 17, 3, 14, 17, 23, 2, 17, 16...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[-2.1726106311942783, -2.482006137276068, -2.8...</td>\n",
              "      <td>[4, 12, 0, 17, 7, 0, 24, 23, 21, 23, 2, 0, 13,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[-0.10236011390578295, -0.11400223825391953, -...</td>\n",
              "      <td>[16, 14, 4, 2, 17, 23, 5, 17, 26, 23, 2, 6, 22...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>[-0.004423142574036325, -0.007182175913669025,...</td>\n",
              "      <td>[5, 22, 17, 24, 23, 12, 5, 2, 17, 16, 23, 2, 1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>[0.02812148930639354, 0.029186888988953108, 0....</td>\n",
              "      <td>[26, 23, 2, 6, 22, 23, 21, 17, 4, 21, 7, 17, 2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>[-0.00012454511854935669, -0.00012454511854935...</td>\n",
              "      <td>[23, 24, 17, 1, 22, 3, 17, 6, 22, 27, 20, 4, 1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>[0.6009296296102777, 0.5216712259052105, 0.363...</td>\n",
              "      <td>[0, 2, 14, 0, 12, 0, 3, 27, 17, 5, 27, 4, 12, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>[-1.0961715241311416, -1.2244125340006577, -1....</td>\n",
              "      <td>[23, 17, 27, 0, 21, 2, 23, 22, 21, 0, 7, 17, 0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>[-0.2944924343915673, -0.3156161964259577, -0....</td>\n",
              "      <td>[4, 21, 7, 17, 23, 21, 17, 27, 4, 21, 1, 17, 1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>[3.0149736702921737, 2.580717530540672, 2.0565...</td>\n",
              "      <td>[23, 17, 16, 22, 3, 13, 7, 17, 7, 0, 24, 23, 2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>[0.07563044074183142, 0.11368729640814958, 0.1...</td>\n",
              "      <td>[5, 22, 17, 26, 23, 2, 6, 22, 23, 21, 17, 23, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>[-0.1779300000396727, -0.0628972101977682, 0.1...</td>\n",
              "      <td>[1, 22, 3, 17, 15, 21, 22, 16, 17, 0, 2, 14, 0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>[-0.5187576140679365, -0.9283815019589784, -1....</td>\n",
              "      <td>[23, 17, 26, 22, 3, 11, 14, 2, 17, 3, 14, 17, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>[0.14046954829650438, 0.18868967006818493, 0.2...</td>\n",
              "      <td>[2, 22, 17, 5, 14, 3, 2, 17, 7, 22, 16, 21, 17...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>[-0.39622525468543146, -0.2806584509041878, -0...</td>\n",
              "      <td>[3, 14, 17, 1, 22, 3, 17, 15, 21, 22, 16, 17, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>[-0.08521396855700306, -0.0756887890344118, -0...</td>\n",
              "      <td>[2, 14, 22, 5, 0, 17, 20, 0, 22, 20, 13, 0, 17...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>[-0.7319736754673076, -0.6438697327192303, -0....</td>\n",
              "      <td>[23, 9, 27, 17, 0, 18, 20, 0, 6, 2, 23, 21, 11...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>[-0.004264639349359682, -0.003090852420889417,...</td>\n",
              "      <td>[26, 23, 2, 6, 22, 23, 21, 17, 26, 0, 6, 22, 2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>[0.1686653922934424, 0.1700294289542408, 0.171...</td>\n",
              "      <td>[26, 23, 2, 6, 22, 23, 21, 17, 1, 22, 3, 17, 1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>[1.7051826321647266e-05, 1.7051826321647266e-0...</td>\n",
              "      <td>[27, 27, 27, 17, 23, 17, 7, 0, 24, 23, 21, 23,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>[0.6377572856683577, 0.6627855307053416, 0.685...</td>\n",
              "      <td>[23, 17, 26, 22, 3, 11, 14, 2, 17, 22, 21, 0, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>[-2.2283016184418725, -2.131344829316276, -1.5...</td>\n",
              "      <td>[1, 22, 3, 17, 15, 21, 22, 16, 17, 26, 23, 2, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>[-0.22296763241850517, -0.19974406939215814, -...</td>\n",
              "      <td>[26, 23, 2, 6, 22, 23, 21, 17, 2, 22, 7, 4, 1,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>[-0.40417981282186166, -0.31152608659919473, -...</td>\n",
              "      <td>[2, 14, 0, 12, 0, 5, 17, 4, 13, 5, 22, 17, 4, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>[0.2315517893324352, 0.23592359168690447, 0.24...</td>\n",
              "      <td>[2, 14, 0, 12, 0, 9, 5, 17, 5, 22, 27, 0, 17, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>[-0.0011459366711062725, 0.01755799163838913, ...</td>\n",
              "      <td>[7, 22, 11, 0, 6, 22, 23, 21, 17, 23, 5, 17, 4...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>[-2.088634085061619, -2.6308657069867545, -2.5...</td>\n",
              "      <td>[13, 23, 15, 0, 17, 7, 22, 0, 5, 21, 9, 2, 17,...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                         input_values                                             labels\n",
              "0   [-0.7773767100600254, -0.7573835922774863, -0....  [23, 17, 27, 0, 4, 21, 17, 2, 14, 23, 5, 17, 2...\n",
              "1   [-0.000795677432079015, -0.001043837579625437,...  [27, 4, 1, 26, 0, 17, 3, 14, 17, 23, 2, 17, 16...\n",
              "2   [-2.1726106311942783, -2.482006137276068, -2.8...  [4, 12, 0, 17, 7, 0, 24, 23, 21, 23, 2, 0, 13,...\n",
              "3   [-0.10236011390578295, -0.11400223825391953, -...  [16, 14, 4, 2, 17, 23, 5, 17, 26, 23, 2, 6, 22...\n",
              "4   [-0.004423142574036325, -0.007182175913669025,...  [5, 22, 17, 24, 23, 12, 5, 2, 17, 16, 23, 2, 1...\n",
              "5   [0.02812148930639354, 0.029186888988953108, 0....  [26, 23, 2, 6, 22, 23, 21, 17, 4, 21, 7, 17, 2...\n",
              "6   [-0.00012454511854935669, -0.00012454511854935...  [23, 24, 17, 1, 22, 3, 17, 6, 22, 27, 20, 4, 1...\n",
              "7   [0.6009296296102777, 0.5216712259052105, 0.363...  [0, 2, 14, 0, 12, 0, 3, 27, 17, 5, 27, 4, 12, ...\n",
              "8   [-1.0961715241311416, -1.2244125340006577, -1....  [23, 17, 27, 0, 21, 2, 23, 22, 21, 0, 7, 17, 0...\n",
              "9   [-0.2944924343915673, -0.3156161964259577, -0....  [4, 21, 7, 17, 23, 21, 17, 27, 4, 21, 1, 17, 1...\n",
              "10  [3.0149736702921737, 2.580717530540672, 2.0565...  [23, 17, 16, 22, 3, 13, 7, 17, 7, 0, 24, 23, 2...\n",
              "11  [0.07563044074183142, 0.11368729640814958, 0.1...  [5, 22, 17, 26, 23, 2, 6, 22, 23, 21, 17, 23, ...\n",
              "12  [-0.1779300000396727, -0.0628972101977682, 0.1...  [1, 22, 3, 17, 15, 21, 22, 16, 17, 0, 2, 14, 0...\n",
              "13  [-0.5187576140679365, -0.9283815019589784, -1....  [23, 17, 26, 22, 3, 11, 14, 2, 17, 3, 14, 17, ...\n",
              "14  [0.14046954829650438, 0.18868967006818493, 0.2...  [2, 22, 17, 5, 14, 3, 2, 17, 7, 22, 16, 21, 17...\n",
              "15  [-0.39622525468543146, -0.2806584509041878, -0...  [3, 14, 17, 1, 22, 3, 17, 15, 21, 22, 16, 17, ...\n",
              "16  [-0.08521396855700306, -0.0756887890344118, -0...  [2, 14, 22, 5, 0, 17, 20, 0, 22, 20, 13, 0, 17...\n",
              "17  [-0.7319736754673076, -0.6438697327192303, -0....  [23, 9, 27, 17, 0, 18, 20, 0, 6, 2, 23, 21, 11...\n",
              "18  [-0.004264639349359682, -0.003090852420889417,...  [26, 23, 2, 6, 22, 23, 21, 17, 26, 0, 6, 22, 2...\n",
              "19  [0.1686653922934424, 0.1700294289542408, 0.171...  [26, 23, 2, 6, 22, 23, 21, 17, 1, 22, 3, 17, 1...\n",
              "20  [1.7051826321647266e-05, 1.7051826321647266e-0...  [27, 27, 27, 17, 23, 17, 7, 0, 24, 23, 21, 23,...\n",
              "21  [0.6377572856683577, 0.6627855307053416, 0.685...  [23, 17, 26, 22, 3, 11, 14, 2, 17, 22, 21, 0, ...\n",
              "22  [-2.2283016184418725, -2.131344829316276, -1.5...  [1, 22, 3, 17, 15, 21, 22, 16, 17, 26, 23, 2, ...\n",
              "23  [-0.22296763241850517, -0.19974406939215814, -...  [26, 23, 2, 6, 22, 23, 21, 17, 2, 22, 7, 4, 1,...\n",
              "24  [-0.40417981282186166, -0.31152608659919473, -...  [2, 14, 0, 12, 0, 5, 17, 4, 13, 5, 22, 17, 4, ...\n",
              "25  [0.2315517893324352, 0.23592359168690447, 0.24...  [2, 14, 0, 12, 0, 9, 5, 17, 5, 22, 27, 0, 17, ...\n",
              "26  [-0.0011459366711062725, 0.01755799163838913, ...  [7, 22, 11, 0, 6, 22, 23, 21, 17, 23, 5, 17, 4...\n",
              "27  [-2.088634085061619, -2.6308657069867545, -2.5...  [13, 23, 15, 0, 17, 7, 22, 0, 5, 21, 9, 2, 17,..."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XQGQW6UU1OrA",
        "outputId": "a8f78b29-5606-40de-b61b-988502eb1cbc"
      },
      "source": [
        "from transformers import Wav2Vec2ForCTC\n",
        "\n",
        "model = Wav2Vec2ForCTC.from_pretrained(\n",
        "    \"facebook/wav2vec2-large\",\n",
        "    gradient_checkpointing=True,\n",
        "    ctc_loss_reduction=\"mean\",\n",
        "    pad_token_id=processor.tokenizer.pad_token_id,\n",
        "    vocab_size=len(processor.tokenizer)\n",
        ")"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Some weights of the model checkpoint at facebook/wav2vec2-large were not used when initializing Wav2Vec2ForCTC: ['quantizer.codevectors', 'quantizer.weight_proj.weight', 'quantizer.weight_proj.bias', 'project_q.weight', 'project_q.bias', 'project_hid.weight', 'project_hid.bias']\n",
            "- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-large and are newly initialized: ['lm_head.weight', 'lm_head.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GlRNN7s01OrB"
      },
      "source": [
        "model.freeze_feature_extractor()"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "id": "CzHw8koY1OrC"
      },
      "source": [
        "from transformers import Trainer\n",
        "from transformers import TrainingArguments\n",
        "training_args = TrainingArguments(\n",
        "  output_dir=\"wav2vec2-test\",\n",
        "  group_by_length=False,\n",
        "  per_device_train_batch_size=2,\n",
        "  evaluation_strategy=\"steps\",\n",
        "  num_train_epochs=30,\n",
        "  fp16=False,\n",
        "  learning_rate=1e-4,\n",
        "  weight_decay=0.005,\n",
        "  save_steps=500,\n",
        "  eval_steps=10,\n",
        "  logging_steps=10,\n",
        "  warmup_steps=100,\n",
        "  save_total_limit=2,\n",
        ")\n",
        "\n",
        "\n",
        "trainer = Trainer(\n",
        "    model=model,\n",
        "    data_collator=data_collator,\n",
        "    args=training_args,\n",
        "    compute_metrics=compute_metrics,\n",
        "    train_dataset=batch_prepared[\"train\"],\n",
        "    eval_dataset=batch_prepared[\"test\"],\n",
        "    tokenizer=processor.feature_extractor,\n",
        ")"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HkijR4dl1OrC",
        "outputId": "6ab8c317-82aa-4b8c-9da5-b50cb72a9a96"
      },
      "source": [
        "trainer.train()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "    <div>\n",
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              "            /* Turns off some styling */\n",
              "            progress {\n",
              "                /* gets rid of default border in Firefox and Opera. */\n",
              "                border: none;\n",
              "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "                background-size: auto;\n",
              "            }\n",
              "        </style>\n",
              "      \n",
              "      <progress value='420' max='420' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [420/420 12:22, Epoch 30/30]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "      <th>Validation Loss</th>\n",
              "      <th>Wer</th>\n",
              "      <th>Runtime</th>\n",
              "      <th>Samples Per Second</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td>10</td>\n",
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              "      <td>3.548900</td>\n",
              "      <td>3.663000</td>\n",
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              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>6.000100</td>\n",
              "      <td>3.514814</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.638700</td>\n",
              "      <td>3.573000</td>\n",
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              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>3.838600</td>\n",
              "      <td>3.613131</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.649200</td>\n",
              "      <td>3.562000</td>\n",
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              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>4.090600</td>\n",
              "      <td>2.968771</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.595300</td>\n",
              "      <td>3.616000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50</td>\n",
              "      <td>3.355100</td>\n",
              "      <td>2.930973</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.550500</td>\n",
              "      <td>3.661000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60</td>\n",
              "      <td>3.188800</td>\n",
              "      <td>2.999514</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.583700</td>\n",
              "      <td>3.627000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>70</td>\n",
              "      <td>3.170800</td>\n",
              "      <td>2.919139</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.547500</td>\n",
              "      <td>3.665000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>80</td>\n",
              "      <td>3.042700</td>\n",
              "      <td>2.899749</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.545100</td>\n",
              "      <td>3.667000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>90</td>\n",
              "      <td>3.008200</td>\n",
              "      <td>2.893930</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.510700</td>\n",
              "      <td>3.703000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>100</td>\n",
              "      <td>2.957900</td>\n",
              "      <td>2.915578</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.497200</td>\n",
              "      <td>3.717000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>110</td>\n",
              "      <td>3.052300</td>\n",
              "      <td>3.009149</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.504000</td>\n",
              "      <td>3.710000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>120</td>\n",
              "      <td>2.950100</td>\n",
              "      <td>2.975172</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.549700</td>\n",
              "      <td>3.662000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>130</td>\n",
              "      <td>2.979600</td>\n",
              "      <td>2.917532</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.492700</td>\n",
              "      <td>3.722000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>140</td>\n",
              "      <td>3.008500</td>\n",
              "      <td>3.058403</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.497600</td>\n",
              "      <td>3.717000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>150</td>\n",
              "      <td>3.019700</td>\n",
              "      <td>2.889945</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.506400</td>\n",
              "      <td>3.707000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>160</td>\n",
              "      <td>3.140100</td>\n",
              "      <td>2.917071</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.487600</td>\n",
              "      <td>3.727000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>170</td>\n",
              "      <td>3.277400</td>\n",
              "      <td>2.929437</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.525600</td>\n",
              "      <td>3.687000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>180</td>\n",
              "      <td>2.918300</td>\n",
              "      <td>2.902624</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.516900</td>\n",
              "      <td>3.696000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>190</td>\n",
              "      <td>2.948100</td>\n",
              "      <td>2.911981</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.484700</td>\n",
              "      <td>3.731000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>200</td>\n",
              "      <td>3.045200</td>\n",
              "      <td>2.902484</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.497400</td>\n",
              "      <td>3.717000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>210</td>\n",
              "      <td>2.976300</td>\n",
              "      <td>3.026911</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.477400</td>\n",
              "      <td>3.738000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>220</td>\n",
              "      <td>2.995400</td>\n",
              "      <td>2.898314</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.518900</td>\n",
              "      <td>3.694000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>230</td>\n",
              "      <td>2.933800</td>\n",
              "      <td>2.902729</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.473900</td>\n",
              "      <td>3.742000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>240</td>\n",
              "      <td>2.945000</td>\n",
              "      <td>2.890548</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.523200</td>\n",
              "      <td>3.690000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>250</td>\n",
              "      <td>3.071700</td>\n",
              "      <td>2.902592</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.505100</td>\n",
              "      <td>3.709000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>260</td>\n",
              "      <td>3.036500</td>\n",
              "      <td>2.925271</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.491200</td>\n",
              "      <td>3.724000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>270</td>\n",
              "      <td>3.103900</td>\n",
              "      <td>2.961369</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.486400</td>\n",
              "      <td>3.729000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>280</td>\n",
              "      <td>2.939000</td>\n",
              "      <td>2.950603</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.529500</td>\n",
              "      <td>3.683000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>290</td>\n",
              "      <td>2.919900</td>\n",
              "      <td>2.901941</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.498500</td>\n",
              "      <td>3.716000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>300</td>\n",
              "      <td>2.978900</td>\n",
              "      <td>2.907630</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.494600</td>\n",
              "      <td>3.720000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>310</td>\n",
              "      <td>2.952600</td>\n",
              "      <td>2.939088</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.515000</td>\n",
              "      <td>3.698000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>320</td>\n",
              "      <td>2.907800</td>\n",
              "      <td>2.900314</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.465200</td>\n",
              "      <td>3.752000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>330</td>\n",
              "      <td>2.901100</td>\n",
              "      <td>2.886586</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.467400</td>\n",
              "      <td>3.749000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>340</td>\n",
              "      <td>3.060300</td>\n",
              "      <td>2.898457</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.497500</td>\n",
              "      <td>3.717000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>350</td>\n",
              "      <td>2.914700</td>\n",
              "      <td>2.897062</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.471900</td>\n",
              "      <td>3.744000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>360</td>\n",
              "      <td>2.895700</td>\n",
              "      <td>2.899099</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.487600</td>\n",
              "      <td>3.728000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>370</td>\n",
              "      <td>2.975400</td>\n",
              "      <td>2.912030</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.478000</td>\n",
              "      <td>3.738000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>380</td>\n",
              "      <td>2.930200</td>\n",
              "      <td>2.904639</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.472900</td>\n",
              "      <td>3.743000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>390</td>\n",
              "      <td>2.937400</td>\n",
              "      <td>2.896631</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.475200</td>\n",
              "      <td>3.741000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>400</td>\n",
              "      <td>2.920600</td>\n",
              "      <td>2.902865</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.477100</td>\n",
              "      <td>3.739000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>410</td>\n",
              "      <td>2.914400</td>\n",
              "      <td>2.903321</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.478400</td>\n",
              "      <td>3.737000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>420</td>\n",
              "      <td>2.941400</td>\n",
              "      <td>2.904136</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.512100</td>\n",
              "      <td>3.701000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TrainOutput(global_step=420, training_loss=3.257205259232294, metrics={'train_runtime': 743.4652, 'train_samples_per_second': 0.565, 'total_flos': 2.543867359488e+17, 'epoch': 30.0, 'init_mem_cpu_alloc_delta': 3858919, 'init_mem_gpu_alloc_delta': 1091793408, 'init_mem_cpu_peaked_delta': 47953445, 'init_mem_gpu_peaked_delta': 12020980224, 'train_mem_cpu_alloc_delta': 680654, 'train_mem_gpu_alloc_delta': 3781134336, 'train_mem_cpu_peaked_delta': 51970435, 'train_mem_gpu_peaked_delta': 1064014848})"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "jupyter": {
          "outputs_hidden": false
        },
        "pycharm": {
          "name": "#%%\n"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170,
          "referenced_widgets": [
            "e8160df1975e4f88b24b1b4235a61f77",
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            "ca3e89aeeefd474f9b4f40b9d89395e7",
            "d45a08e9a0c1487fb729513d816661e2",
            "9b67aabe86bf4ef1be96556c0c597a53",
            "abac5b18f1ae48f790f36b7c45ff5f4e",
            "c49fb079526c4f709be6a229c9c4ead6",
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            "359bdd971a1746188d15ee5a27406098"
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        },
        "id": "ivj-1FwX1OrC",
        "outputId": "40e4cc70-8ebc-4548-96e1-9d05608f947a"
      },
      "source": [
        "def map_to_result(batch):\n",
        "    model.to(\"cuda\")\n",
        "    input_values = processor(\n",
        "        batch[\"speech\"],\n",
        "        sampling_rate=batch[\"sampling_rate\"],\n",
        "        return_tensors=\"pt\"\n",
        "    ).input_values.to(\"cuda\")\n",
        "\n",
        "    with torch.no_grad():\n",
        "        logits = model(input_values).logits\n",
        "\n",
        "\n",
        "    pred_ids = torch.argmax(logits, dim=-1)\n",
        "\n",
        "    batch[\"pred_str\"] = processor.batch_decode(pred_ids)[0]\n",
        "\n",
        "    return batch\n",
        "\n",
        "results = batch.map(map_to_result)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-large-960h and are newly initialized: ['wav2vec2.masked_spec_embed']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
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              "model_id": "e8160df1975e4f88b24b1b4235a61f77",
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              "version_major": 2
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              "HBox(children=(FloatProgress(value=0.0, max=28.0), HTML(value='')))"
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          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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              "      <th></th>\n",
              "      <th>pred_str</th>\n",
              "      <th>sampling_rate</th>\n",
              "      <th>speech</th>\n",
              "      <th>target_text</th>\n",
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              "      <th>0</th>\n",
              "      <td>THIS IS THE END OF ETHERIUM AND I THINK A LOT ...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.09014892578125, -0.08782958984375, -0.0875...</td>\n",
              "      <td>i mean this is the end of ethereum and i think...</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MAYBE A IT WON'T BE BIT COIN THERE PLACES GOLD...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-9.1552734375e-05, -0.0001220703125, 0.0, 6.1...</td>\n",
              "      <td>maybe uh it won't be bitcoin that replaces gol...</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RE DEFINITELY CASES WHEREI COULD THINK THE ETH...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.2198486328125, -0.25115966796875, -0.28933...</td>\n",
              "      <td>are definitely cases where like i think the et...</td>\n",
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              "      <td>WHAT IS BICKWEN WISE AND IMPORTANT TO THE WORL...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.01177978515625, -0.01312255859375, -0.0149...</td>\n",
              "      <td>what is bitcoin and why is it important to the...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SO FIRST WITH BID COIN AND THEN WITH DOSH COIN...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.000457763671875, -0.000762939453125, -0.00...</td>\n",
              "      <td>so first with bitcoin and then with dogecoin s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>BITCOIN AND MANY OTHER CRIPLIC CURRENCIES HAVE...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.00323486328125, 0.00335693359375, 0.0032043...</td>\n",
              "      <td>bitcoin and many other cryptocurrencies have b...</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>IF YOU COMPARE BICKPOINT TO THE DOLLAR THERE'S...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.0, 0.0, -6.103515625e-05, -3.0517578125e-05...</td>\n",
              "      <td>if you compare bitcoin to the dollar there's a...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>RIUM SMART CONTRACTS KIN JUST RUN ARBITRARY CO...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.0643310546875, 0.05584716796875, 0.03890991...</td>\n",
              "      <td>ethereum smart contracts can just run arbitrar...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>AMENTION DETHERIUM CHALLENGES H THE THE POWER ...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.105682373046875, -0.1180419921875, -0.1144...</td>\n",
              "      <td>i mentioned ethereum challenges the power cent...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>E MOST ENTERTAINING CRIPTAL CURRENCY AS CURPTO...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.032318115234375, -0.034637451171875, -0.03...</td>\n",
              "      <td>and in many ways dogecoin is the most entertai...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>WOULD DEFINITELY NOT CALL BAQUOINASCAM RIGHT S...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.36529541015625, 0.31268310546875, 0.2491760...</td>\n",
              "      <td>i would definitely not call bitcoin a scam rig...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>SO BIT COIN IS SEEN I THINK AS A ADDITIONAL CU...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.00811767578125, 0.01220703125, 0.0127563476...</td>\n",
              "      <td>so bitcoin is seen i think as a uh a digital c...</td>\n",
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              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>NOW ETHEORIUM IS NOT THAT BUT IT'S AMAZING DES...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.018646240234375, -0.006591796875, 0.016021...</td>\n",
              "      <td>you know ethereum is not that but it's amazing...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>'VE BOUGHT BUT I'VE BOUGHT A BUNCH OF DOSE A S...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.059722900390625, -0.10687255859375, -0.176...</td>\n",
              "      <td>i bought uh i bought a bunch of doge i still h...</td>\n",
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              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ING TO SHUT DOWN SOME BIQUIN MINING BECAUSE IT...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.015472412109375, 0.020782470703125, 0.02819...</td>\n",
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              "    <tr>\n",
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              "      <td>[-0.0411376953125, -0.029144287109375, -0.0113...</td>\n",
              "      <td>uh you know proponents of bitcoin will say thi...</td>\n",
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              "      <th>16</th>\n",
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              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>TS I'M EXPECTING YOU KNOW FULLY ETHERIUM I'M C...</td>\n",
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              "      <td>[-0.078857421875, -0.069366455078125, -0.07440...</td>\n",
              "      <td>i'm expecting fully ethereum um capable um rol...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>BIB COYN BECOMES VERY VERY INTERESTING VERY SP...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.000457763671875, -0.000335693359375, -3.05...</td>\n",
              "      <td>bitcoin becomes very very interesting very spe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>BIT COIN YOU KNO BACK IN A OCTOBER OF LAST YEA...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.01885986328125, 0.019012451171875, 0.019226...</td>\n",
              "      <td>bitcoin you know back in uh october of last ye...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>UM I DEFINITELY SEE ETHERIUM AS A BEING EYA ME...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...</td>\n",
              "      <td>mmm i definitely see ethereum as uh being a me...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>I BOUGHT ONE BIT COINAMENA TO SAVE IT FOR MY C...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.0692138671875, 0.071929931640625, 0.0743408...</td>\n",
              "      <td>i bought one bitcoin and i'm gonna save it for...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ENVI YE YOU KNOW BIKWIN NUMBER ONE DOSHKOIN NU...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.24053955078125, -0.230072021484375, -0.171...</td>\n",
              "      <td>you know bitcoin number one dogecoin number i ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>PICCOIN TO DAY AND PEOPLE MAY TRY TO REPLICATE...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.025726318359375, -0.023040771484375, -0.02...</td>\n",
              "      <td>bitcoin today and people may try to replicate ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>E'S ALSO A LOT OF REALLY REALLY GREAT IDEAS TH...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.052947998046875, -0.040802001953125, -0.02...</td>\n",
              "      <td>theres also a lot of really really great ideas...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>THERE'S SOME SENSE N THE REASON I WAS HAVING L...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[0.02587890625, 0.0263671875, 0.02780151367187...</td>\n",
              "      <td>there's some sense in the reason i was having ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>DOZE COIN IS ACTUALLY ONE OF THE LEAST CRAZY T...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.0001220703125, 0.002044677734375, 0.004302...</td>\n",
              "      <td>dogecoin is actually one of the least crazy th...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>AKE DOESN'T BIG COIN FIX EVERYTHING ALREADY SO...</td>\n",
              "      <td>16000</td>\n",
              "      <td>[-0.222320556640625, -0.280029296875, -0.27191...</td>\n",
              "      <td>like doesn't bitcoin fix everything already so...</td>\n",
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            "text/plain": [
              "                                             pred_str  ...                                        target_text\n",
              "0   THIS IS THE END OF ETHERIUM AND I THINK A LOT ...  ...  i mean this is the end of ethereum and i think...\n",
              "1   MAYBE A IT WON'T BE BIT COIN THERE PLACES GOLD...  ...  maybe uh it won't be bitcoin that replaces gol...\n",
              "2   RE DEFINITELY CASES WHEREI COULD THINK THE ETH...  ...  are definitely cases where like i think the et...\n",
              "3   WHAT IS BICKWEN WISE AND IMPORTANT TO THE WORL...  ...  what is bitcoin and why is it important to the...\n",
              "4   SO FIRST WITH BID COIN AND THEN WITH DOSH COIN...  ...  so first with bitcoin and then with dogecoin s...\n",
              "5   BITCOIN AND MANY OTHER CRIPLIC CURRENCIES HAVE...  ...  bitcoin and many other cryptocurrencies have b...\n",
              "6   IF YOU COMPARE BICKPOINT TO THE DOLLAR THERE'S...  ...  if you compare bitcoin to the dollar there's a...\n",
              "7   RIUM SMART CONTRACTS KIN JUST RUN ARBITRARY CO...  ...  ethereum smart contracts can just run arbitrar...\n",
              "8   AMENTION DETHERIUM CHALLENGES H THE THE POWER ...  ...  i mentioned ethereum challenges the power cent...\n",
              "9   E MOST ENTERTAINING CRIPTAL CURRENCY AS CURPTO...  ...  and in many ways dogecoin is the most entertai...\n",
              "10  WOULD DEFINITELY NOT CALL BAQUOINASCAM RIGHT S...  ...  i would definitely not call bitcoin a scam rig...\n",
              "11  SO BIT COIN IS SEEN I THINK AS A ADDITIONAL CU...  ...  so bitcoin is seen i think as a uh a digital c...\n",
              "12  NOW ETHEORIUM IS NOT THAT BUT IT'S AMAZING DES...  ...  you know ethereum is not that but it's amazing...\n",
              "13  'VE BOUGHT BUT I'VE BOUGHT A BUNCH OF DOSE A S...  ...  i bought uh i bought a bunch of doge i still h...\n",
              "14  ING TO SHUT DOWN SOME BIQUIN MINING BECAUSE IT...  ...  to shut down some bitcoin mining because it wa...\n",
              "15  EL IN A PROPONENT'S A BIG COIN WE'LL SAY OW TH...  ...  uh you know proponents of bitcoin will say thi...\n",
              "16  THOSE PEOPLE ARE MUCH MORE LIKELY TO NOT HAVE ...  ...  those people are much more likely to not have ...\n",
              "17  TS I'M EXPECTING YOU KNOW FULLY ETHERIUM I'M C...  ...  i'm expecting fully ethereum um capable um rol...\n",
              "18  BIB COYN BECOMES VERY VERY INTERESTING VERY SP...  ...  bitcoin becomes very very interesting very spe...\n",
              "19  BIT COIN YOU KNO BACK IN A OCTOBER OF LAST YEA...  ...  bitcoin you know back in uh october of last ye...\n",
              "20  UM I DEFINITELY SEE ETHERIUM AS A BEING EYA ME...  ...  mmm i definitely see ethereum as uh being a me...\n",
              "21  I BOUGHT ONE BIT COINAMENA TO SAVE IT FOR MY C...  ...  i bought one bitcoin and i'm gonna save it for...\n",
              "22  ENVI YE YOU KNOW BIKWIN NUMBER ONE DOSHKOIN NU...  ...  you know bitcoin number one dogecoin number i ...\n",
              "23  PICCOIN TO DAY AND PEOPLE MAY TRY TO REPLICATE...  ...  bitcoin today and people may try to replicate ...\n",
              "24  E'S ALSO A LOT OF REALLY REALLY GREAT IDEAS TH...  ...  theres also a lot of really really great ideas...\n",
              "25  THERE'S SOME SENSE N THE REASON I WAS HAVING L...  ...  there's some sense in the reason i was having ...\n",
              "26  DOZE COIN IS ACTUALLY ONE OF THE LEAST CRAZY T...  ...  dogecoin is actually one of the least crazy th...\n",
              "27  AKE DOESN'T BIG COIN FIX EVERYTHING ALREADY SO...  ...  like doesn't bitcoin fix everything already so...\n",
              "\n",
              "[28 rows x 4 columns]"
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      "source": [
        "model.to(\"cuda\")\n",
        "input_values = processor(batch[\"test\"][0][\"speech\"], sampling_rate=batch[\"test\"][0][\"sampling_rate\"], return_tensors=\"pt\").input_values.to(\"cuda\")\n",
        "\n",
        "with torch.no_grad():\n",
        "    logits = model(input_values).logits\n",
        "\n",
        "pred_ids = torch.argmax(logits, dim=-1)\n",
        "\n",
        "# convert ids to tokens\n",
        "\" \".join(processor.tokenizer.convert_ids_to_tokens(pred_ids[0].tolist()))"
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