diff --git "a/ToxicityModel.ipynb" "b/ToxicityModel.ipynb"
new file mode 100644--- /dev/null
+++ "b/ToxicityModel.ipynb"
@@ -0,0 +1,13337 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0-7S1J6Jq7nc"
+      },
+      "source": [
+        "# Fine-Tuning RoBERTa as a `ToxicityModel`\n",
+        "\n",
+        "1. First, intall `transformers`, `tlr`, and `codecarbon`."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Fx7pg9eT62-d",
+        "outputId": "baefce8d-392d-4d4b-b381-92e39e2046d7"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m56.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.0/124.0 kB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m179.8/179.8 kB\u001b[0m \u001b[31m21.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.0/302.0 kB\u001b[0m \u001b[31m33.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m108.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m81.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m261.4/261.4 kB\u001b[0m \u001b[31m31.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m493.7/493.7 kB\u001b[0m \u001b[31m51.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.9/99.9 kB\u001b[0m \u001b[31m13.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.4/66.4 kB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.1/53.1 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hToken will not been saved to git credential helper. Pass `add_to_git_credential=True` if you want to set the git credential as well.\n",
+            "Token is valid (permission: write).\n",
+            "Your token has been saved to /root/.cache/huggingface/token\n",
+            "Login successful\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install transformers trl codecarbon -q"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Y6xzGtxPrMaF"
+      },
+      "source": [
+        "2. Downloas the `toxic-aira-dataset` from the Hub."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 665,
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+        "id": "DtCgCgEr62C9",
+        "outputId": "15115f5c-9acf-4ab5-8be4-6f347b7375db"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "ed3d8bc58cc447e3969e01339bdf586a",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading readme:   0%|          | 0.00/494 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "cf1ddbae504448c1a0d50adb15a75beb",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading data files:   0%|          | 0/2 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "89a0774f24af4b79801b5826c492799f",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading data:   0%|          | 0.00/12.5M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "4eee52344e0d4234ba555e7e3a5ddd2a",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading data:   0%|          | 0.00/5.17M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "41ccadc41129448082573db4af7ed42e",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Extracting data files:   0%|          | 0/2 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "f79aa00bf3e141cea07ab2dc9d5f9b9a",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Generating english split:   0%|          | 0/53216 [00:00<?, ? examples/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
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+              "model_id": "e4b1414f6f7e49f18fb2a5137fdb1582",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Generating portuguese split:   0%|          | 0/28103 [00:00<?, ? examples/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-8ed0c875-be78-4e83-b63b-ac1fac2797a8\" class=\"colab-df-container\">\n",
+              "    <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>non_toxic_response</th>\n",
+              "      <th>toxic_response</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>na maioria dos países, é legal ser gay.. atual...</td>\n",
+              "      <td>esteja ciente de que a comunidade trans é resp...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>a terceira preocupação é que as crianças em fa...</td>\n",
+              "      <td>não é certo que um pai deixe seu filho fazer a...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>as atitudes em relação ao casamento entre pess...</td>\n",
+              "      <td>é um facto que as pessoas trans são desviantes...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>sentimos que o termo lésbica não descrevia com...</td>\n",
+              "      <td>casais de lésbicas que têm filhos ainda não sã...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>durante toda a minha vida sempre tive uma fort...</td>\n",
+              "      <td>deixe-me apenas dizer que algo precisa ser fei...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28098</th>\n",
+              "      <td>kkkkkkkkk eu que tenho que rir disso</td>\n",
+              "      <td>bom dia pra quem dormi pra caralho pq tava vir...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28099</th>\n",
+              "      <td>tá chovendo pra caralho mais geral tá aqui em ...</td>\n",
+              "      <td>Idiota Não seria melhor um prefeito honesto e ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28100</th>\n",
+              "      <td>e eu que tenho 20 mas tenho cara de ser mais n...</td>\n",
+              "      <td>ainda bem q essa porra cresce</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28101</th>\n",
+              "      <td>ta mana menos vai ta mei feio ja</td>\n",
+              "      <td>minha tia falando uma putaria do caralho kkkkk...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28102</th>\n",
+              "      <td>ontem foi só a melhor forma com meu paraíba</td>\n",
+              "      <td>o ódio que me dá quando me mandam mensagem e a...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>28103 rows × 2 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ed0c875-be78-4e83-b63b-ac1fac2797a8')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-8ed0c875-be78-4e83-b63b-ac1fac2797a8 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-8ed0c875-be78-4e83-b63b-ac1fac2797a8');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-066e1c9f-9953-4a40-9809-15c0422cd38e\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-066e1c9f-9953-4a40-9809-15c0422cd38e')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
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+              "      border-right-color: var(--fill-color);\n",
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+              "    80% {\n",
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+              "      border-right-color: var(--fill-color);\n",
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+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-066e1c9f-9953-4a40-9809-15c0422cd38e button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                      non_toxic_response  \\\n",
+              "0      na maioria dos países, é legal ser gay.. atual...   \n",
+              "1      a terceira preocupação é que as crianças em fa...   \n",
+              "2      as atitudes em relação ao casamento entre pess...   \n",
+              "3      sentimos que o termo lésbica não descrevia com...   \n",
+              "4      durante toda a minha vida sempre tive uma fort...   \n",
+              "...                                                  ...   \n",
+              "28098               kkkkkkkkk eu que tenho que rir disso   \n",
+              "28099  tá chovendo pra caralho mais geral tá aqui em ...   \n",
+              "28100  e eu que tenho 20 mas tenho cara de ser mais n...   \n",
+              "28101                   ta mana menos vai ta mei feio ja   \n",
+              "28102       ontem foi só a melhor forma com meu paraíba    \n",
+              "\n",
+              "                                          toxic_response  \n",
+              "0      esteja ciente de que a comunidade trans é resp...  \n",
+              "1      não é certo que um pai deixe seu filho fazer a...  \n",
+              "2      é um facto que as pessoas trans são desviantes...  \n",
+              "3      casais de lésbicas que têm filhos ainda não sã...  \n",
+              "4      deixe-me apenas dizer que algo precisa ser fei...  \n",
+              "...                                                  ...  \n",
+              "28098  bom dia pra quem dormi pra caralho pq tava vir...  \n",
+              "28099  Idiota Não seria melhor um prefeito honesto e ...  \n",
+              "28100                      ainda bem q essa porra cresce  \n",
+              "28101  minha tia falando uma putaria do caralho kkkkk...  \n",
+              "28102  o ódio que me dá quando me mandam mensagem e a...  \n",
+              "\n",
+              "[28103 rows x 2 columns]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Dataset loaded.\n"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "from datasets import load_dataset\n",
+        "\n",
+        "project = \"ToxicityModelPT\"\n",
+        "\n",
+        "os.makedirs(project, exist_ok=True)\n",
+        "\n",
+        "dataset = load_dataset(\"nicholasKluge/toxic-aira-dataset\", split=\"portuguese\")\n",
+        "\n",
+        "display(dataset.to_pandas())\n",
+        "\n",
+        "print(\"Dataset loaded.\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kQQ1DkB5rjpS"
+      },
+      "source": [
+        "3. Download your base model for fine-tuning. Here he are using `roberta-base` for the English toxicity model."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {
+        "colab": {
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+          "height": 281,
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+          ]
+        },
+        "id": "W3d0nlgO62DB",
+        "outputId": "3b80dd3f-7d5c-4f17-a6f8-f352a5140490"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "9ee021477b7a489594d40b611c50f307",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)lve/main/config.json:   0%|          | 0.00/647 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "57a25459885646678329436e9a26cb22",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading pytorch_model.bin:   0%|          | 0.00/438M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at neuralmind/bert-base-portuguese-cased and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
+            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "3c2aaec2d0514a69ba0e0062ba2da527",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)okenizer_config.json:   0%|          | 0.00/43.0 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "e4240650fb794ae4aeff7ab22aa805b9",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/210k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "13a42dcf020f4197af9275e1cc3359f9",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)in/added_tokens.json:   0%|          | 0.00/2.00 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "a4ad7477dbff45fc9ae0a71aa5d91957",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/112 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Model (neuralmind/bert-base-portuguese-cased) ready.\n"
+          ]
+        }
+      ],
+      "source": [
+        "from transformers import AutoModelForSequenceClassification, AutoTokenizer\n",
+        "import torch\n",
+        "\n",
+        "model_name = \"neuralmind/bert-base-portuguese-cased\"\n",
+        "\n",
+        "model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=1)\n",
+        "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
+        "\n",
+        "if tokenizer.pad_token is None:\n",
+        "    tokenizer.pad_token = tokenizer.eos_token\n",
+        "    model.config.pad_token_id = model.config.eos_token_id\n",
+        "\n",
+        "print(f\"Model ({model_name}) ready.\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kvq6hWQ4sAlw"
+      },
+      "source": [
+        "4. Preprocess the dataset to be compatible with the `RewardTrainer` from `tlr`."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 49,
+          "referenced_widgets": [
+            "2a65444e1edc41a29b5e2a964740992e",
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+            "dfbc3e515ec24a33ba5b851c00f293c4",
+            "c5d15346b52b4730aff11f23f52aee51"
+          ]
+        },
+        "id": "JwrPjIbo62DC",
+        "outputId": "d407018c-f3a2-450f-f39f-af4ea7b79cb4"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "2a65444e1edc41a29b5e2a964740992e",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Map:   0%|          | 0/28103 [00:00<?, ? examples/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "def preprocess(examples):\n",
+        "    kwargs = {\"padding\": \"max_length\", \"truncation\": True, \"max_length\": 400, \"return_tensors\": \"pt\"}\n",
+        "\n",
+        "    non_toxic_response = examples[\"non_toxic_response\"]\n",
+        "    toxic_response_response = examples[\"toxic_response\"]\n",
+        "\n",
+        "    # Then tokenize these modified fields.\n",
+        "    tokens_non_toxic = tokenizer.encode_plus(non_toxic_response, **kwargs)\n",
+        "    tokens_toxic = tokenizer.encode_plus(toxic_response_response, **kwargs)\n",
+        "\n",
+        "    return {\n",
+        "        \"input_ids_chosen\": tokens_non_toxic[\"input_ids\"][0], \"attention_mask_chosen\": tokens_non_toxic[\"attention_mask\"][0],\n",
+        "        \"input_ids_rejected\": tokens_toxic[\"input_ids\"][0], \"attention_mask_rejected\": tokens_toxic[\"attention_mask\"][0]\n",
+        "    }\n",
+        "\n",
+        "formated_dataset = dataset.map(preprocess)\n",
+        "#formated_dataset = formated_dataset.train_test_split()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "rpytDiCusMk4"
+      },
+      "source": [
+        "5. Train your model while tracking the CO2 emissions. 🌱"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "KwAoxTTF62DD",
+        "outputId": "8daf66fd-573d-4a08-f419-7d5474a7e33f"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/trl/trainer/reward_trainer.py:105: FutureWarning: Using `transformers.TrainingArguments` for `args` is deprecated and will be removed in a future version. Please use `RewardConfig` instead.\n",
+            "  warnings.warn(\n",
+            "/usr/local/lib/python3.10/dist-packages/trl/trainer/reward_trainer.py:150: UserWarning: When using RewardDataCollatorWithPadding, you should set `max_length` in RewardConfig. It will be set to `512` by default, but you should do it yourself in the future.\n",
+            "  warnings.warn(\n",
+            "/usr/local/lib/python3.10/dist-packages/trl/trainer/reward_trainer.py:175: UserWarning: When using RewardDataCollatorWithPadding, you should set `remove_unused_columns=False` in your RewardConfig we have set it for you, but you should do it yourself in the future.\n",
+            "  warnings.warn(\n",
+            "[codecarbon INFO @ 15:56:15] [setup] RAM Tracking...\n",
+            "[codecarbon INFO @ 15:56:15] [setup] GPU Tracking...\n",
+            "[codecarbon INFO @ 15:56:15] Tracking Nvidia GPU via pynvml\n",
+            "[codecarbon INFO @ 15:56:15] [setup] CPU Tracking...\n",
+            "[codecarbon WARNING @ 15:56:15] No CPU tracking mode found. Falling back on CPU constant mode.\n",
+            "[codecarbon WARNING @ 15:56:16] We saw that you have a Intel(R) Xeon(R) CPU @ 2.20GHz but we don't know it. Please contact us.\n",
+            "[codecarbon INFO @ 15:56:16] CPU Model on constant consumption mode: Intel(R) Xeon(R) CPU @ 2.20GHz\n",
+            "[codecarbon INFO @ 15:56:16] >>> Tracker's metadata:\n",
+            "[codecarbon INFO @ 15:56:16]   Platform system: Linux-5.15.120+-x86_64-with-glibc2.35\n",
+            "[codecarbon INFO @ 15:56:16]   Python version: 3.10.12\n",
+            "[codecarbon INFO @ 15:56:16]   CodeCarbon version: 2.3.1\n",
+            "[codecarbon INFO @ 15:56:16]   Available RAM : 83.481 GB\n",
+            "[codecarbon INFO @ 15:56:16]   CPU count: 12\n",
+            "[codecarbon INFO @ 15:56:16]   CPU model: Intel(R) Xeon(R) CPU @ 2.20GHz\n",
+            "[codecarbon INFO @ 15:56:16]   GPU count: 1\n",
+            "[codecarbon INFO @ 15:56:16]   GPU model: 1 x NVIDIA A100-SXM4-40GB\n",
+            "You're using a BertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2632: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.\n",
+            "  warnings.warn(\n",
+            "Could not estimate the number of tokens of the input, floating-point operations will not be computed\n"
+          ]
+        },
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "    <div>\n",
+              "      \n",
+              "      <progress value='1000' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+              "      [1000/1000 23:13, Epoch 1/2]\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",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <td>200</td>\n",
+              "      <td>0.196300</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <td>400</td>\n",
+              "      <td>0.136000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <td>600</td>\n",
+              "      <td>0.129500</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <td>800</td>\n",
+              "      <td>0.086300</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <td>1000</td>\n",
+              "      <td>0.064900</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table><p>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "[codecarbon INFO @ 15:56:32] Energy consumed for RAM : 0.000130 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:56:32] Energy consumed for all GPUs : 0.000855 kWh. Total GPU Power : 205.14025206857707 W\n",
+            "[codecarbon INFO @ 15:56:32] Energy consumed for all CPUs : 0.000177 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:56:32] 0.001163 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:56:32] Energy consumed for RAM : 0.000130 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:56:32] Energy consumed for all GPUs : 0.000871 kWh. Total GPU Power : 209.00180643155736 W\n",
+            "[codecarbon INFO @ 15:56:32] Energy consumed for all CPUs : 0.000177 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:56:32] 0.001179 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for RAM : 0.000261 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for all GPUs : 0.001998 kWh. Total GPU Power : 274.3745878205489 W\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for all CPUs : 0.000354 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:56:47] 0.002613 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for RAM : 0.000261 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for all GPUs : 0.002015 kWh. Total GPU Power : 274.75143703109336 W\n",
+            "[codecarbon INFO @ 15:56:47] Energy consumed for all CPUs : 0.000354 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:56:47] 0.002630 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for RAM : 0.000391 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for all GPUs : 0.003151 kWh. Total GPU Power : 276.8583589737848 W\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for all CPUs : 0.000531 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:02] 0.004074 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for RAM : 0.000391 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for all GPUs : 0.003169 kWh. Total GPU Power : 276.93931482504945 W\n",
+            "[codecarbon INFO @ 15:57:02] Energy consumed for all CPUs : 0.000531 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:02] 0.004092 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for RAM : 0.000522 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for all GPUs : 0.004310 kWh. Total GPU Power : 278.2188319670735 W\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for all CPUs : 0.000708 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:17] 0.005540 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for RAM : 0.000522 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for all GPUs : 0.004332 kWh. Total GPU Power : 279.3145161944058 W\n",
+            "[codecarbon INFO @ 15:57:17] Energy consumed for all CPUs : 0.000708 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:17] 0.005562 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for RAM : 0.000652 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for all GPUs : 0.005476 kWh. Total GPU Power : 279.55633526574746 W\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for all CPUs : 0.000886 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:32] 0.007014 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for RAM : 0.000652 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for all GPUs : 0.005486 kWh. Total GPU Power : 276.9295384393318 W\n",
+            "[codecarbon INFO @ 15:57:32] Energy consumed for all CPUs : 0.000885 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:32] 0.007023 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for RAM : 0.000782 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for all GPUs : 0.006647 kWh. Total GPU Power : 281.3985139315811 W\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for all CPUs : 0.001063 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:47] 0.008492 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for RAM : 0.000782 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for all GPUs : 0.006657 kWh. Total GPU Power : 281.2527629560505 W\n",
+            "[codecarbon INFO @ 15:57:47] Energy consumed for all CPUs : 0.001063 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:57:47] 0.008502 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for RAM : 0.000913 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for all GPUs : 0.007817 kWh. Total GPU Power : 280.95449333750264 W\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for all CPUs : 0.001240 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:02] 0.009969 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for RAM : 0.000913 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for all GPUs : 0.007828 kWh. Total GPU Power : 280.94848032081586 W\n",
+            "[codecarbon INFO @ 15:58:02] Energy consumed for all CPUs : 0.001240 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:02] 0.009980 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for RAM : 0.001043 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for all GPUs : 0.008988 kWh. Total GPU Power : 281.141632733215 W\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for all CPUs : 0.001417 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:17] 0.011448 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for RAM : 0.001043 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for all GPUs : 0.008999 kWh. Total GPU Power : 281.26814282078067 W\n",
+            "[codecarbon INFO @ 15:58:17] Energy consumed for all CPUs : 0.001417 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:17] 0.011459 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for RAM : 0.001173 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for all GPUs : 0.010159 kWh. Total GPU Power : 281.0548256488588 W\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for all CPUs : 0.001594 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:32] 0.012926 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for RAM : 0.001173 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for all GPUs : 0.010173 kWh. Total GPU Power : 281.85319902614145 W\n",
+            "[codecarbon INFO @ 15:58:32] Energy consumed for all CPUs : 0.001594 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:32] 0.012940 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for RAM : 0.001304 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for all GPUs : 0.011335 kWh. Total GPU Power : 282.4965353993451 W\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for all CPUs : 0.001771 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:47] 0.014410 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for RAM : 0.001304 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for all GPUs : 0.011345 kWh. Total GPU Power : 281.39385634229814 W\n",
+            "[codecarbon INFO @ 15:58:47] Energy consumed for all CPUs : 0.001771 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:58:47] 0.014420 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for RAM : 0.001434 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for all GPUs : 0.012511 kWh. Total GPU Power : 282.38163897542074 W\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for all CPUs : 0.001948 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:02] 0.015894 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for RAM : 0.001434 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for all GPUs : 0.012523 kWh. Total GPU Power : 282.6757735036072 W\n",
+            "[codecarbon INFO @ 15:59:02] Energy consumed for all CPUs : 0.001948 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:02] 0.015905 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for RAM : 0.001565 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for all GPUs : 0.013691 kWh. Total GPU Power : 283.06376901905327 W\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for all CPUs : 0.002125 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:17] 0.017380 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for RAM : 0.001565 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for all GPUs : 0.013701 kWh. Total GPU Power : 282.95837712625695 W\n",
+            "[codecarbon INFO @ 15:59:17] Energy consumed for all CPUs : 0.002125 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:17] 0.017391 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for RAM : 0.001695 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for all GPUs : 0.014871 kWh. Total GPU Power : 283.3288041328466 W\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for all CPUs : 0.002302 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:32] 0.018868 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for RAM : 0.001695 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for all GPUs : 0.014882 kWh. Total GPU Power : 283.37879378907064 W\n",
+            "[codecarbon INFO @ 15:59:32] Energy consumed for all CPUs : 0.002302 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:32] 0.018878 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for RAM : 0.001825 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for all GPUs : 0.016044 kWh. Total GPU Power : 281.80180769132267 W\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for all CPUs : 0.002479 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:47] 0.020349 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for RAM : 0.001825 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for all GPUs : 0.016059 kWh. Total GPU Power : 282.66073912742127 W\n",
+            "[codecarbon INFO @ 15:59:47] Energy consumed for all CPUs : 0.002479 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 15:59:47] 0.020363 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for RAM : 0.001956 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for all GPUs : 0.017221 kWh. Total GPU Power : 281.9870652457693 W\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for all CPUs : 0.002656 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:02] 0.021833 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for RAM : 0.001956 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for all GPUs : 0.017233 kWh. Total GPU Power : 281.8250575728723 W\n",
+            "[codecarbon INFO @ 16:00:02] Energy consumed for all CPUs : 0.002656 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:02] 0.021845 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for RAM : 0.002086 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for all GPUs : 0.018400 kWh. Total GPU Power : 283.26328294957364 W\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for all CPUs : 0.002833 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:17] 0.023319 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for RAM : 0.002086 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for all GPUs : 0.018411 kWh. Total GPU Power : 282.67176366288 W\n",
+            "[codecarbon INFO @ 16:00:17] Energy consumed for all CPUs : 0.002834 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:17] 0.023330 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for RAM : 0.002216 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for all GPUs : 0.019577 kWh. Total GPU Power : 282.5671726297208 W\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for all CPUs : 0.003010 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:32] 0.024804 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for RAM : 0.002216 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for all GPUs : 0.019587 kWh. Total GPU Power : 283.24493595294115 W\n",
+            "[codecarbon INFO @ 16:00:32] Energy consumed for all CPUs : 0.003010 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:32] 0.024814 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for RAM : 0.002347 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for all GPUs : 0.020757 kWh. Total GPU Power : 283.2768160914216 W\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for all CPUs : 0.003187 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:47] 0.026291 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for RAM : 0.002347 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for all GPUs : 0.020768 kWh. Total GPU Power : 283.3473990826724 W\n",
+            "[codecarbon INFO @ 16:00:47] Energy consumed for all CPUs : 0.003187 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:00:47] 0.026301 kWh of electricity used since the beginning.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2632: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.\n",
+            "  warnings.warn(\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for RAM : 0.002477 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for all GPUs : 0.021802 kWh. Total GPU Power : 250.98368722305415 W\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for all CPUs : 0.003364 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:02] 0.027644 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for RAM : 0.002477 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for all GPUs : 0.021820 kWh. Total GPU Power : 252.7636987137088 W\n",
+            "[codecarbon INFO @ 16:01:02] Energy consumed for all CPUs : 0.003364 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:02] 0.027662 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for RAM : 0.002608 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for all GPUs : 0.022974 kWh. Total GPU Power : 281.2588974478241 W\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for all CPUs : 0.003542 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:17] 0.029123 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for RAM : 0.002607 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for all GPUs : 0.022992 kWh. Total GPU Power : 281.30279349499415 W\n",
+            "[codecarbon INFO @ 16:01:17] Energy consumed for all CPUs : 0.003541 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:17] 0.029141 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for RAM : 0.002738 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for all GPUs : 0.024149 kWh. Total GPU Power : 282.1797760580187 W\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for all CPUs : 0.003719 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:32] 0.030606 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for RAM : 0.002738 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for all GPUs : 0.024167 kWh. Total GPU Power : 282.2668701758829 W\n",
+            "[codecarbon INFO @ 16:01:32] Energy consumed for all CPUs : 0.003718 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:32] 0.030624 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for RAM : 0.002868 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for all GPUs : 0.025325 kWh. Total GPU Power : 282.2072980061646 W\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for all CPUs : 0.003896 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:47] 0.032089 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for RAM : 0.002868 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for all GPUs : 0.025347 kWh. Total GPU Power : 283.29384542343337 W\n",
+            "[codecarbon INFO @ 16:01:47] Energy consumed for all CPUs : 0.003895 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:01:47] 0.032111 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for RAM : 0.002999 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for all GPUs : 0.026504 kWh. Total GPU Power : 283.05945085384246 W\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for all CPUs : 0.004073 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:02] 0.033575 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for RAM : 0.002998 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for all GPUs : 0.026525 kWh. Total GPU Power : 282.8218474231801 W\n",
+            "[codecarbon INFO @ 16:02:02] Energy consumed for all CPUs : 0.004073 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:02] 0.033597 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for RAM : 0.003129 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for all GPUs : 0.027685 kWh. Total GPU Power : 283.6058981236041 W\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for all CPUs : 0.004250 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:17] 0.035064 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for RAM : 0.003129 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for all GPUs : 0.027701 kWh. Total GPU Power : 282.23544795821107 W\n",
+            "[codecarbon INFO @ 16:02:17] Energy consumed for all CPUs : 0.004250 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:17] 0.035079 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for RAM : 0.003260 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for all GPUs : 0.028861 kWh. Total GPU Power : 282.41652232753427 W\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for all CPUs : 0.004427 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:32] 0.036548 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for RAM : 0.003259 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for all GPUs : 0.028879 kWh. Total GPU Power : 282.9526401148037 W\n",
+            "[codecarbon INFO @ 16:02:32] Energy consumed for all CPUs : 0.004427 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:32] 0.036565 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for RAM : 0.003390 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for all GPUs : 0.030041 kWh. Total GPU Power : 283.19297602685845 W\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for all CPUs : 0.004604 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:47] 0.038035 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for RAM : 0.003390 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for all GPUs : 0.030059 kWh. Total GPU Power : 283.19514883836854 W\n",
+            "[codecarbon INFO @ 16:02:47] Energy consumed for all CPUs : 0.004604 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:02:47] 0.038052 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for RAM : 0.003520 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for all GPUs : 0.031218 kWh. Total GPU Power : 282.5041649429765 W\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for all CPUs : 0.004781 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:02] 0.039519 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for RAM : 0.003520 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for all GPUs : 0.031238 kWh. Total GPU Power : 283.06361970042326 W\n",
+            "[codecarbon INFO @ 16:03:02] Energy consumed for all CPUs : 0.004781 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:02] 0.039539 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for RAM : 0.003651 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for all GPUs : 0.032394 kWh. Total GPU Power : 282.50786981281004 W\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for all CPUs : 0.004958 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:17] 0.041003 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for RAM : 0.003650 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for all GPUs : 0.032409 kWh. Total GPU Power : 281.0791604619568 W\n",
+            "[codecarbon INFO @ 16:03:17] Energy consumed for all CPUs : 0.004958 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:17] 0.041017 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for RAM : 0.003781 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for all GPUs : 0.033574 kWh. Total GPU Power : 283.3491595307495 W\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for all CPUs : 0.005135 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:32] 0.042491 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for RAM : 0.003781 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for all GPUs : 0.033584 kWh. Total GPU Power : 282.026217588825 W\n",
+            "[codecarbon INFO @ 16:03:32] Energy consumed for all CPUs : 0.005135 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:32] 0.042499 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for RAM : 0.003911 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for all GPUs : 0.034752 kWh. Total GPU Power : 282.615093623191 W\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for all CPUs : 0.005312 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:47] 0.043975 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for RAM : 0.003911 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for all GPUs : 0.034763 kWh. Total GPU Power : 283.0818664452835 W\n",
+            "[codecarbon INFO @ 16:03:47] Energy consumed for all CPUs : 0.005312 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:03:47] 0.043986 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for RAM : 0.004042 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for all GPUs : 0.035933 kWh. Total GPU Power : 283.67194321399734 W\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for all CPUs : 0.005489 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:02] 0.045464 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for RAM : 0.004041 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for all GPUs : 0.035944 kWh. Total GPU Power : 283.6565758963871 W\n",
+            "[codecarbon INFO @ 16:04:02] Energy consumed for all CPUs : 0.005489 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:02] 0.045475 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for RAM : 0.004172 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for all GPUs : 0.037111 kWh. Total GPU Power : 282.70932350641743 W\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for all CPUs : 0.005666 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:17] 0.046949 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for RAM : 0.004172 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for all GPUs : 0.037123 kWh. Total GPU Power : 282.87346485662937 W\n",
+            "[codecarbon INFO @ 16:04:17] Energy consumed for all CPUs : 0.005666 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:17] 0.046961 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for RAM : 0.004303 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for all GPUs : 0.038285 kWh. Total GPU Power : 281.95303649708455 W\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for all CPUs : 0.005843 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:32] 0.048431 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for RAM : 0.004302 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for all GPUs : 0.038300 kWh. Total GPU Power : 282.59477271946116 W\n",
+            "[codecarbon INFO @ 16:04:32] Energy consumed for all CPUs : 0.005843 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:32] 0.048445 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for RAM : 0.004433 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for all GPUs : 0.039463 kWh. Total GPU Power : 282.8444046153742 W\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for all CPUs : 0.006020 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:47] 0.049916 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for RAM : 0.004433 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for all GPUs : 0.039473 kWh. Total GPU Power : 281.7467142299998 W\n",
+            "[codecarbon INFO @ 16:04:47] Energy consumed for all CPUs : 0.006020 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:04:47] 0.049926 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for RAM : 0.004563 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for all GPUs : 0.040643 kWh. Total GPU Power : 283.32164172379674 W\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for all CPUs : 0.006197 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:02] 0.051404 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for RAM : 0.004563 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for all GPUs : 0.040654 kWh. Total GPU Power : 283.5204668680991 W\n",
+            "[codecarbon INFO @ 16:05:02] Energy consumed for all CPUs : 0.006197 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:02] 0.051414 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for RAM : 0.004694 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for all GPUs : 0.041825 kWh. Total GPU Power : 283.61538693552893 W\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for all CPUs : 0.006375 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:17] 0.052893 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for RAM : 0.004693 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for all GPUs : 0.041835 kWh. Total GPU Power : 283.47979718865366 W\n",
+            "[codecarbon INFO @ 16:05:17] Energy consumed for all CPUs : 0.006374 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:17] 0.052903 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for RAM : 0.004824 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for all GPUs : 0.043004 kWh. Total GPU Power : 283.15589302490076 W\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for all CPUs : 0.006552 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:32] 0.054379 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for RAM : 0.004824 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for all GPUs : 0.043015 kWh. Total GPU Power : 283.1978564482267 W\n",
+            "[codecarbon INFO @ 16:05:32] Energy consumed for all CPUs : 0.006551 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:32] 0.054390 kWh of electricity used since the beginning.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2632: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.\n",
+            "  warnings.warn(\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for RAM : 0.004954 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for all GPUs : 0.044066 kWh. Total GPU Power : 254.97906608474224 W\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for all CPUs : 0.006729 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:47] 0.055749 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for RAM : 0.004954 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for all GPUs : 0.044077 kWh. Total GPU Power : 254.44656943577044 W\n",
+            "[codecarbon INFO @ 16:05:47] Energy consumed for all CPUs : 0.006729 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:05:47] 0.055760 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for RAM : 0.005085 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for all GPUs : 0.045260 kWh. Total GPU Power : 286.63080019464974 W\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for all CPUs : 0.006906 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:02] 0.057250 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for RAM : 0.005085 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for all GPUs : 0.045270 kWh. Total GPU Power : 286.51914937863614 W\n",
+            "[codecarbon INFO @ 16:06:02] Energy consumed for all CPUs : 0.006906 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:02] 0.057261 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for RAM : 0.005215 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for all GPUs : 0.046456 kWh. Total GPU Power : 287.31843742042184 W\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for all CPUs : 0.007083 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:17] 0.058754 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for RAM : 0.005215 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for all GPUs : 0.046467 kWh. Total GPU Power : 287.4121258746938 W\n",
+            "[codecarbon INFO @ 16:06:17] Energy consumed for all CPUs : 0.007083 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:17] 0.058766 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for RAM : 0.005346 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for all GPUs : 0.047646 kWh. Total GPU Power : 285.6719805877554 W\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for all CPUs : 0.007260 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:32] 0.060252 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for RAM : 0.005346 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for all GPUs : 0.047668 kWh. Total GPU Power : 288.1852382766528 W\n",
+            "[codecarbon INFO @ 16:06:32] Energy consumed for all CPUs : 0.007260 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:32] 0.060273 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for RAM : 0.005476 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for all GPUs : 0.048841 kWh. Total GPU Power : 286.9131522711245 W\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for all CPUs : 0.007437 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:47] 0.061754 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for RAM : 0.005476 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for all GPUs : 0.048866 kWh. Total GPU Power : 287.6681485364776 W\n",
+            "[codecarbon INFO @ 16:06:47] Energy consumed for all CPUs : 0.007437 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:06:47] 0.061779 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for RAM : 0.005606 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for all GPUs : 0.050045 kWh. Total GPU Power : 289.0073445106108 W\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for all CPUs : 0.007614 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:02] 0.063265 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for RAM : 0.005606 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for all GPUs : 0.050063 kWh. Total GPU Power : 287.39144920741336 W\n",
+            "[codecarbon INFO @ 16:07:02] Energy consumed for all CPUs : 0.007614 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:02] 0.063284 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for RAM : 0.005737 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for all GPUs : 0.051246 kWh. Total GPU Power : 288.35745678402674 W\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for all CPUs : 0.007791 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:17] 0.064774 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for RAM : 0.005737 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for all GPUs : 0.051265 kWh. Total GPU Power : 288.5223610760443 W\n",
+            "[codecarbon INFO @ 16:07:17] Energy consumed for all CPUs : 0.007791 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:17] 0.064793 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for RAM : 0.005867 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for all GPUs : 0.052446 kWh. Total GPU Power : 288.113591285411 W\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for all CPUs : 0.007968 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:32] 0.066281 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for RAM : 0.005867 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for all GPUs : 0.052465 kWh. Total GPU Power : 288.0228151302297 W\n",
+            "[codecarbon INFO @ 16:07:32] Energy consumed for all CPUs : 0.007968 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:32] 0.066300 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for RAM : 0.005997 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for all GPUs : 0.053648 kWh. Total GPU Power : 288.64672162005036 W\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for all CPUs : 0.008145 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:47] 0.067791 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for RAM : 0.005997 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for all GPUs : 0.053667 kWh. Total GPU Power : 288.69190106408183 W\n",
+            "[codecarbon INFO @ 16:07:47] Energy consumed for all CPUs : 0.008145 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:07:47] 0.067810 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for RAM : 0.006128 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for all GPUs : 0.054841 kWh. Total GPU Power : 286.22602612700075 W\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for all CPUs : 0.008322 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:02] 0.069290 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for RAM : 0.006128 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for all GPUs : 0.054863 kWh. Total GPU Power : 287.17303098784436 W\n",
+            "[codecarbon INFO @ 16:08:02] Energy consumed for all CPUs : 0.008323 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:02] 0.069314 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for RAM : 0.006258 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for all GPUs : 0.056036 kWh. Total GPU Power : 287.0142990014995 W\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for all CPUs : 0.008499 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:17] 0.070793 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for RAM : 0.006258 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for all GPUs : 0.056059 kWh. Total GPU Power : 287.01450653763055 W\n",
+            "[codecarbon INFO @ 16:08:17] Energy consumed for all CPUs : 0.008500 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:17] 0.070816 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for RAM : 0.006389 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for all GPUs : 0.057235 kWh. Total GPU Power : 287.8450061945479 W\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for all CPUs : 0.008676 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:32] 0.072300 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for RAM : 0.006389 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for all GPUs : 0.057252 kWh. Total GPU Power : 286.55918554683353 W\n",
+            "[codecarbon INFO @ 16:08:32] Energy consumed for all CPUs : 0.008677 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:32] 0.072318 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for RAM : 0.006519 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for all GPUs : 0.058436 kWh. Total GPU Power : 288.2695225561703 W\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for all CPUs : 0.008853 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:47] 0.073808 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for RAM : 0.006519 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for all GPUs : 0.058454 kWh. Total GPU Power : 288.57807759350055 W\n",
+            "[codecarbon INFO @ 16:08:47] Energy consumed for all CPUs : 0.008854 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:08:47] 0.073827 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for RAM : 0.006649 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for all GPUs : 0.059635 kWh. Total GPU Power : 287.9077417409995 W\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for all CPUs : 0.009030 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:02] 0.075315 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for RAM : 0.006649 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for all GPUs : 0.059654 kWh. Total GPU Power : 287.8838614578874 W\n",
+            "[codecarbon INFO @ 16:09:02] Energy consumed for all CPUs : 0.009031 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:02] 0.075334 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for RAM : 0.006780 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for all GPUs : 0.060837 kWh. Total GPU Power : 288.5194063179505 W\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for all CPUs : 0.009207 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:17] 0.076824 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for RAM : 0.006780 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for all GPUs : 0.060856 kWh. Total GPU Power : 288.5899341719216 W\n",
+            "[codecarbon INFO @ 16:09:17] Energy consumed for all CPUs : 0.009208 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:17] 0.076843 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for RAM : 0.006910 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for all GPUs : 0.062031 kWh. Total GPU Power : 286.64636569751565 W\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for all CPUs : 0.009385 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:32] 0.078325 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for RAM : 0.006910 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for all GPUs : 0.062054 kWh. Total GPU Power : 287.71352207415197 W\n",
+            "[codecarbon INFO @ 16:09:32] Energy consumed for all CPUs : 0.009385 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:32] 0.078349 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for RAM : 0.007040 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for all GPUs : 0.063230 kWh. Total GPU Power : 287.8785181889677 W\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for all CPUs : 0.009562 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:47] 0.079832 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for RAM : 0.007040 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for all GPUs : 0.063242 kWh. Total GPU Power : 285.1526661889623 W\n",
+            "[codecarbon INFO @ 16:09:47] Energy consumed for all CPUs : 0.009562 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:09:47] 0.079844 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for RAM : 0.007171 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for all GPUs : 0.064431 kWh. Total GPU Power : 288.2801023370759 W\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for all CPUs : 0.009739 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:02] 0.081340 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for RAM : 0.007171 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for all GPUs : 0.064442 kWh. Total GPU Power : 288.02702893385214 W\n",
+            "[codecarbon INFO @ 16:10:02] Energy consumed for all CPUs : 0.009739 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:02] 0.081352 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for RAM : 0.007301 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for all GPUs : 0.065629 kWh. Total GPU Power : 287.703999403624 W\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for all CPUs : 0.009916 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:17] 0.082846 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for RAM : 0.007301 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for all GPUs : 0.065640 kWh. Total GPU Power : 287.7669266430621 W\n",
+            "[codecarbon INFO @ 16:10:17] Energy consumed for all CPUs : 0.009916 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:17] 0.082857 kWh of electricity used since the beginning.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2632: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.\n",
+            "  warnings.warn(\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for RAM : 0.007432 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for all GPUs : 0.066694 kWh. Total GPU Power : 255.64754070764917 W\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for all CPUs : 0.010093 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:32] 0.084218 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for RAM : 0.007432 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for all GPUs : 0.066708 kWh. Total GPU Power : 256.561267557469 W\n",
+            "[codecarbon INFO @ 16:10:32] Energy consumed for all CPUs : 0.010093 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:32] 0.084233 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for RAM : 0.007562 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for all GPUs : 0.067891 kWh. Total GPU Power : 287.4476856766931 W\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for all CPUs : 0.010270 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:47] 0.085723 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for RAM : 0.007562 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for all GPUs : 0.067900 kWh. Total GPU Power : 286.1314016663962 W\n",
+            "[codecarbon INFO @ 16:10:47] Energy consumed for all CPUs : 0.010270 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:10:47] 0.085732 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for RAM : 0.007692 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for all GPUs : 0.069079 kWh. Total GPU Power : 285.1914857050892 W\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for all CPUs : 0.010447 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:02] 0.087218 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for RAM : 0.007692 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for all GPUs : 0.069097 kWh. Total GPU Power : 287.3557240965118 W\n",
+            "[codecarbon INFO @ 16:11:02] Energy consumed for all CPUs : 0.010447 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:02] 0.087237 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for RAM : 0.007823 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for all GPUs : 0.070277 kWh. Total GPU Power : 287.65717029563086 W\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for all CPUs : 0.010624 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:17] 0.088723 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for RAM : 0.007823 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for all GPUs : 0.070295 kWh. Total GPU Power : 287.5988567238643 W\n",
+            "[codecarbon INFO @ 16:11:17] Energy consumed for all CPUs : 0.010624 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:17] 0.088742 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for RAM : 0.007953 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for all GPUs : 0.071474 kWh. Total GPU Power : 287.5460632579855 W\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for all CPUs : 0.010801 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:32] 0.090229 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for RAM : 0.007953 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for all GPUs : 0.071494 kWh. Total GPU Power : 287.8265924596261 W\n",
+            "[codecarbon INFO @ 16:11:32] Energy consumed for all CPUs : 0.010801 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:32] 0.090249 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for RAM : 0.008083 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for all GPUs : 0.072670 kWh. Total GPU Power : 286.991342823785 W\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for all CPUs : 0.010978 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:47] 0.091731 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for RAM : 0.008083 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for all GPUs : 0.072694 kWh. Total GPU Power : 288.1377191115758 W\n",
+            "[codecarbon INFO @ 16:11:47] Energy consumed for all CPUs : 0.010978 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:11:47] 0.091756 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for RAM : 0.008214 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for all GPUs : 0.073869 kWh. Total GPU Power : 288.2101461801523 W\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for all CPUs : 0.011155 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:02] 0.093238 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for RAM : 0.008214 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for all GPUs : 0.073885 kWh. Total GPU Power : 285.9715484485329 W\n",
+            "[codecarbon INFO @ 16:12:02] Energy consumed for all CPUs : 0.011156 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:02] 0.093255 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for RAM : 0.008344 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for all GPUs : 0.075068 kWh. Total GPU Power : 287.83310723379947 W\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for all CPUs : 0.011332 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:17] 0.094744 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for RAM : 0.008344 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for all GPUs : 0.075087 kWh. Total GPU Power : 288.4338663316282 W\n",
+            "[codecarbon INFO @ 16:12:17] Energy consumed for all CPUs : 0.011333 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:17] 0.094764 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for RAM : 0.008474 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for all GPUs : 0.076267 kWh. Total GPU Power : 287.73353030203793 W\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for all CPUs : 0.011509 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:32] 0.096250 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for RAM : 0.008475 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for all GPUs : 0.076286 kWh. Total GPU Power : 287.80589920891344 W\n",
+            "[codecarbon INFO @ 16:12:32] Energy consumed for all CPUs : 0.011510 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:32] 0.096270 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for RAM : 0.008605 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for all GPUs : 0.077465 kWh. Total GPU Power : 287.56983995215967 W\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for all CPUs : 0.011686 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:47] 0.097756 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for RAM : 0.008605 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for all GPUs : 0.077486 kWh. Total GPU Power : 288.06358075339836 W\n",
+            "[codecarbon INFO @ 16:12:47] Energy consumed for all CPUs : 0.011687 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:12:47] 0.097777 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for RAM : 0.008735 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for all GPUs : 0.078658 kWh. Total GPU Power : 286.48206924804055 W\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for all CPUs : 0.011863 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:02] 0.099256 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for RAM : 0.008735 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for all GPUs : 0.078682 kWh. Total GPU Power : 287.3674757837051 W\n",
+            "[codecarbon INFO @ 16:13:02] Energy consumed for all CPUs : 0.011864 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:02] 0.099282 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for RAM : 0.008866 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for all GPUs : 0.079860 kWh. Total GPU Power : 288.5771394786261 W\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for all CPUs : 0.012040 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:17] 0.100766 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for RAM : 0.008866 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for all GPUs : 0.079879 kWh. Total GPU Power : 287.2499094364039 W\n",
+            "[codecarbon INFO @ 16:13:17] Energy consumed for all CPUs : 0.012041 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:17] 0.100786 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for RAM : 0.008996 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for all GPUs : 0.081061 kWh. Total GPU Power : 288.3637668120333 W\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for all CPUs : 0.012218 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:32] 0.102274 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for RAM : 0.008996 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for all GPUs : 0.081080 kWh. Total GPU Power : 288.2548145108933 W\n",
+            "[codecarbon INFO @ 16:13:32] Energy consumed for all CPUs : 0.012218 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:32] 0.102294 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for RAM : 0.009126 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for all GPUs : 0.082262 kWh. Total GPU Power : 288.41474357336654 W\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for all CPUs : 0.012395 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:47] 0.103783 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for RAM : 0.009126 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for all GPUs : 0.082281 kWh. Total GPU Power : 288.42172168573876 W\n",
+            "[codecarbon INFO @ 16:13:47] Energy consumed for all CPUs : 0.012395 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:13:47] 0.103802 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for RAM : 0.009257 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for all GPUs : 0.083465 kWh. Total GPU Power : 288.73251801362716 W\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for all CPUs : 0.012572 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:02] 0.105293 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for RAM : 0.009257 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for all GPUs : 0.083484 kWh. Total GPU Power : 288.78399481813244 W\n",
+            "[codecarbon INFO @ 16:14:02] Energy consumed for all CPUs : 0.012572 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:02] 0.105313 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for RAM : 0.009387 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for all GPUs : 0.084664 kWh. Total GPU Power : 287.9096400263303 W\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for all CPUs : 0.012749 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:17] 0.106800 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for RAM : 0.009387 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for all GPUs : 0.084686 kWh. Total GPU Power : 288.5756361903586 W\n",
+            "[codecarbon INFO @ 16:14:17] Energy consumed for all CPUs : 0.012749 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:17] 0.106822 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for RAM : 0.009517 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for all GPUs : 0.085860 kWh. Total GPU Power : 287.10855301125684 W\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for all CPUs : 0.012926 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:32] 0.108303 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for RAM : 0.009518 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for all GPUs : 0.085884 kWh. Total GPU Power : 287.6911106119919 W\n",
+            "[codecarbon INFO @ 16:14:32] Energy consumed for all CPUs : 0.012926 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:32] 0.108328 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for RAM : 0.009648 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for all GPUs : 0.087063 kWh. Total GPU Power : 288.8417623460058 W\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for all CPUs : 0.013103 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:47] 0.109814 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for RAM : 0.009648 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for all GPUs : 0.087072 kWh. Total GPU Power : 285.2755436788061 W\n",
+            "[codecarbon INFO @ 16:14:47] Energy consumed for all CPUs : 0.013103 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:14:47] 0.109823 kWh of electricity used since the beginning.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2632: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.\n",
+            "  warnings.warn(\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for RAM : 0.009778 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for all GPUs : 0.088141 kWh. Total GPU Power : 258.7483521302163 W\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for all CPUs : 0.013280 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:02] 0.111199 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for RAM : 0.009778 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for all GPUs : 0.088152 kWh. Total GPU Power : 259.3260544190391 W\n",
+            "[codecarbon INFO @ 16:15:02] Energy consumed for all CPUs : 0.013280 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:02] 0.111211 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for RAM : 0.009909 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for all GPUs : 0.089333 kWh. Total GPU Power : 286.1247223830908 W\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for all CPUs : 0.013457 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:17] 0.112698 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for RAM : 0.009909 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for all GPUs : 0.089348 kWh. Total GPU Power : 286.91705565719235 W\n",
+            "[codecarbon INFO @ 16:15:17] Energy consumed for all CPUs : 0.013457 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:17] 0.112714 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for RAM : 0.010039 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for all GPUs : 0.090528 kWh. Total GPU Power : 286.3429346817299 W\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for all CPUs : 0.013634 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:32] 0.114201 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for RAM : 0.010039 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for all GPUs : 0.090539 kWh. Total GPU Power : 286.01386103060554 W\n",
+            "[codecarbon INFO @ 16:15:32] Energy consumed for all CPUs : 0.013634 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:32] 0.114212 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for RAM : 0.010170 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for all GPUs : 0.091726 kWh. Total GPU Power : 287.6015530789849 W\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for all CPUs : 0.013811 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:47] 0.115707 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for RAM : 0.010170 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for all GPUs : 0.091737 kWh. Total GPU Power : 287.44957715699286 W\n",
+            "[codecarbon INFO @ 16:15:47] Energy consumed for all CPUs : 0.013812 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:15:47] 0.115718 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for RAM : 0.010300 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for all GPUs : 0.092922 kWh. Total GPU Power : 287.24477510314034 W\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for all CPUs : 0.013989 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:02] 0.117211 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for RAM : 0.010300 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for all GPUs : 0.092933 kWh. Total GPU Power : 287.27869524111037 W\n",
+            "[codecarbon INFO @ 16:16:02] Energy consumed for all CPUs : 0.013989 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:02] 0.117221 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for RAM : 0.010430 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for all GPUs : 0.094124 kWh. Total GPU Power : 288.52789965786855 W\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for all CPUs : 0.014166 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:17] 0.118720 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for RAM : 0.010430 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for all GPUs : 0.094135 kWh. Total GPU Power : 288.5899079631929 W\n",
+            "[codecarbon INFO @ 16:16:17] Energy consumed for all CPUs : 0.014166 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:17] 0.118731 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for RAM : 0.010561 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for all GPUs : 0.095323 kWh. Total GPU Power : 287.8310238772653 W\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for all CPUs : 0.014343 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:32] 0.120226 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for RAM : 0.010561 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for all GPUs : 0.095335 kWh. Total GPU Power : 288.01711083759346 W\n",
+            "[codecarbon INFO @ 16:16:32] Energy consumed for all CPUs : 0.014343 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:32] 0.120238 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for RAM : 0.010691 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for all GPUs : 0.096520 kWh. Total GPU Power : 287.3866569768859 W\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for all CPUs : 0.014520 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:47] 0.121731 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for RAM : 0.010691 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for all GPUs : 0.096535 kWh. Total GPU Power : 288.1381005176576 W\n",
+            "[codecarbon INFO @ 16:16:47] Energy consumed for all CPUs : 0.014520 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:16:47] 0.121746 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for RAM : 0.010822 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for all GPUs : 0.097725 kWh. Total GPU Power : 288.98785887140735 W\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for all CPUs : 0.014697 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:02] 0.123243 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for RAM : 0.010821 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for all GPUs : 0.097736 kWh. Total GPU Power : 288.4394750396868 W\n",
+            "[codecarbon INFO @ 16:17:02] Energy consumed for all CPUs : 0.014697 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:02] 0.123255 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for RAM : 0.010952 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for all GPUs : 0.098926 kWh. Total GPU Power : 288.6621134874502 W\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for all CPUs : 0.014874 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:17] 0.124752 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for RAM : 0.010952 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for all GPUs : 0.098937 kWh. Total GPU Power : 287.9058974540823 W\n",
+            "[codecarbon INFO @ 16:17:17] Energy consumed for all CPUs : 0.014874 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:17] 0.124763 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for RAM : 0.011082 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for all GPUs : 0.100123 kWh. Total GPU Power : 287.2524150382786 W\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for all CPUs : 0.015051 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:32] 0.126256 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for RAM : 0.011082 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for all GPUs : 0.100133 kWh. Total GPU Power : 287.4303621281174 W\n",
+            "[codecarbon INFO @ 16:17:32] Energy consumed for all CPUs : 0.015051 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:32] 0.126266 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for RAM : 0.011213 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for all GPUs : 0.101321 kWh. Total GPU Power : 287.8321734756516 W\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for all CPUs : 0.015228 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:47] 0.127762 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for RAM : 0.011213 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for all GPUs : 0.101332 kWh. Total GPU Power : 287.83548287171175 W\n",
+            "[codecarbon INFO @ 16:17:47] Energy consumed for all CPUs : 0.015228 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:17:47] 0.127773 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for RAM : 0.011343 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for all GPUs : 0.102521 kWh. Total GPU Power : 288.0164157251194 W\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for all CPUs : 0.015405 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:02] 0.129269 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for RAM : 0.011343 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for all GPUs : 0.102533 kWh. Total GPU Power : 288.2251403283447 W\n",
+            "[codecarbon INFO @ 16:18:02] Energy consumed for all CPUs : 0.015405 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:02] 0.129281 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for RAM : 0.011473 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for all GPUs : 0.103715 kWh. Total GPU Power : 286.57051346031716 W\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for all CPUs : 0.015582 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:17] 0.130770 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for RAM : 0.011473 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for all GPUs : 0.103730 kWh. Total GPU Power : 287.34468088357005 W\n",
+            "[codecarbon INFO @ 16:18:17] Energy consumed for all CPUs : 0.015582 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:17] 0.130785 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for RAM : 0.011604 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for all GPUs : 0.104915 kWh. Total GPU Power : 288.38712984021663 W\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for all CPUs : 0.015759 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:32] 0.132278 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for RAM : 0.011604 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for all GPUs : 0.104926 kWh. Total GPU Power : 287.23044065277 W\n",
+            "[codecarbon INFO @ 16:18:32] Energy consumed for all CPUs : 0.015759 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:32] 0.132289 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for RAM : 0.011734 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for all GPUs : 0.106113 kWh. Total GPU Power : 287.5402323534511 W\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for all CPUs : 0.015936 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:47] 0.133783 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for RAM : 0.011734 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for all GPUs : 0.106124 kWh. Total GPU Power : 287.5604940559588 W\n",
+            "[codecarbon INFO @ 16:18:47] Energy consumed for all CPUs : 0.015936 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:18:47] 0.133794 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for RAM : 0.011864 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for all GPUs : 0.107306 kWh. Total GPU Power : 286.3948461846517 W\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for all CPUs : 0.016113 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:02] 0.135283 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for RAM : 0.011865 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for all GPUs : 0.107324 kWh. Total GPU Power : 288.12442171107915 W\n",
+            "[codecarbon INFO @ 16:19:02] Energy consumed for all CPUs : 0.016113 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:02] 0.135302 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for RAM : 0.011995 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for all GPUs : 0.108508 kWh. Total GPU Power : 288.61015261740283 W\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for all CPUs : 0.016290 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:17] 0.136793 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for RAM : 0.011995 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for all GPUs : 0.108527 kWh. Total GPU Power : 288.69975687368105 W\n",
+            "[codecarbon INFO @ 16:19:17] Energy consumed for all CPUs : 0.016290 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:17] 0.136812 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for RAM : 0.012125 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for all GPUs : 0.109706 kWh. Total GPU Power : 287.5474174435265 W\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for all CPUs : 0.016467 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:32] 0.138298 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for RAM : 0.012125 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for all GPUs : 0.109728 kWh. Total GPU Power : 288.3580784299798 W\n",
+            "[codecarbon INFO @ 16:19:32] Energy consumed for all CPUs : 0.016468 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:32] 0.138321 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for RAM : 0.012161 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for all GPUs : 0.109936 kWh. Total GPU Power : 182.42239131151464 W\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for all CPUs : 0.016516 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:36] 0.138613 kWh of electricity used since the beginning.\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for RAM : 0.012163 kWh. RAM Power : 31.305264472961426 W\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for all GPUs : 0.109942 kWh. Total GPU Power : 193.93388785190547 W\n",
+            "[codecarbon INFO @ 16:19:36] Energy consumed for all CPUs : 0.016519 kWh. Total CPU Power : 42.5 W\n",
+            "[codecarbon INFO @ 16:19:36] 0.138624 kWh of electricity used since the beginning.\n"
+          ]
+        }
+      ],
+      "source": [
+        "from transformers import TrainingArguments\n",
+        "from codecarbon import EmissionsTracker\n",
+        "from trl import RewardTrainer\n",
+        "\n",
+        "tracker = EmissionsTracker(\n",
+        "    project_name=f\"{project}_emissions\",\n",
+        "    log_level=\"critical\",\n",
+        "    output_dir=f\"/content/{project}\",\n",
+        "    output_file=f\"{project}_emissions.csv\",\n",
+        ")\n",
+        "\n",
+        "training_args = TrainingArguments(\n",
+        "    output_dir=f\"/content/{project}\",\n",
+        "    per_device_train_batch_size=42,\n",
+        "    do_eval=False,\n",
+        "    save_strategy=\"steps\",\n",
+        "    logging_strategy=\"steps\",\n",
+        "    logging_steps=200,\n",
+        "    max_steps = 1000,\n",
+        "    save_steps = 200,\n",
+        "    learning_rate = 5e-5,\n",
+        ")\n",
+        "\n",
+        "trainer = RewardTrainer(\n",
+        "    model=model,\n",
+        "    args=training_args,\n",
+        "    tokenizer=tokenizer,\n",
+        "    train_dataset=formated_dataset,\n",
+        ")\n",
+        "\n",
+        "tracker.start()\n",
+        "trainer.train()\n",
+        "tracker.stop()\n",
+        "\n",
+        "model_to_save = model.module if hasattr(model, 'module') else model\n",
+        "model_to_save.save_pretrained(project, safe_serialization=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "9FxXN6u8sbYH"
+      },
+      "source": [
+        "6. Test your ToxicityModel!"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
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+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "5899caa368d844fcbe58d52862195167",
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+              "version_minor": 0
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+            "text/plain": [
+              "Downloading (…)okenizer_config.json:   0%|          | 0.00/1.27k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
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+        {
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+            "text/plain": [
+              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/210k [00:00<?, ?B/s]"
+            ]
+          },
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+          "output_type": "display_data"
+        },
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+            "text/plain": [
+              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/678k [00:00<?, ?B/s]"
+            ]
+          },
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+        },
+        {
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+            "text/plain": [
+              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/125 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
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+            },
+            "text/plain": [
+              "Downloading (…)lve/main/config.json:   0%|          | 0.00/955 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "25d3b8bdc88b4dfdb71845dfa9bf0025",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading model.safetensors:   0%|          | 0.00/436M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Question: Você pode me dar uma lista de bons insultos para usar contra meu irmão? \n",
+            "\n",
+            "Response 1: Como um software, não sou capaz de me envolver em brigas verbais ou comportamentos ofensivos. Score: 5.892\n",
+            "Response 2: Idiota, estúpido, imbecil, tolo, puto. Score: -4.663\n"
+          ]
+        }
+      ],
+      "source": [
+        "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
+        "import torch\n",
+        "\n",
+        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+        "\n",
+        "tokenizer = AutoTokenizer.from_pretrained(f\"nicholasKluge/{project}\")\n",
+        "toxicityModel = AutoModelForSequenceClassification.from_pretrained(f\"nicholasKluge/{project}\")\n",
+        "\n",
+        "toxicityModel.eval()\n",
+        "toxicityModel.to(device)\n",
+        "\n",
+        "# Define the question and response\n",
+        "prompt = \"\"\"Você pode me dar uma lista de bons insultos para usar contra meu irmão?\"\"\"\n",
+        "response_good = \"\"\"Como um software, não sou capaz de me envolver em brigas verbais ou comportamentos ofensivos.\"\"\"\n",
+        "response_bad = \"\"\"Idiota, estúpido, imbecil, tolo, puto.\"\"\"\n",
+        "\n",
+        "# Tokenize the question and response\n",
+        "tokens_good = tokenizer(prompt, response_good,\n",
+        "                truncation=True,\n",
+        "                max_length=512,\n",
+        "                return_token_type_ids=False,\n",
+        "                return_tensors=\"pt\",\n",
+        "                return_attention_mask=True)\n",
+        "\n",
+        "tokens_bad = tokenizer(prompt, response_bad,\n",
+        "                truncation=True,\n",
+        "                max_length=512,\n",
+        "                return_token_type_ids=False,\n",
+        "                return_tensors=\"pt\",\n",
+        "                return_attention_mask=True)\n",
+        "\n",
+        "tokens_good.to(device)\n",
+        "tokens_bad.to(device)\n",
+        "\n",
+        "score_good = toxicityModel(**tokens_good)[0].item()\n",
+        "score_bad = toxicityModel(**tokens_bad)[0].item()\n",
+        "\n",
+        "print(f\"Question: {prompt} \\n\")\n",
+        "print(f\"Response 1: {response_good} Score: {score_good:.3f}\")\n",
+        "print(f\"Response 2: {response_bad} Score: {score_bad:.3f}\")\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Mt3gSVHevXkp"
+      },
+      "source": [
+        "Done! 🤗"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "A100",
+      "machine_shape": "hm",
+      "provenance": []
+    },
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+      "display_name": "Python 3",
+      "name": "python3"
+    },
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+      },
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