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[ "import wandb\n", "wandb.login()" ], "metadata": { "id": "vQol5vpc4YKl" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "import torch\n", "import transformers" ], "metadata": { "id": "eOqxutpwBZrF" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "#login to huggingface hub, first sign up to hugging face and create write token\n", "from huggingface_hub import notebook_login\n", "notebook_login()" ], "metadata": { "id": "DZk6OxyYrDdX" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "from datasets import load_dataset, load_metric" ], "metadata": { "id": "ANl4rkjCrz9y" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer\n", "import pandas as pd" ], "metadata": { "id": "U4Sx1Is3qUKL" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "#import tokenizer from huggingface\n", "tokenizer=AutoTokenizer.from_pretrained(\"ProsusAI/finbert\")\n" ], "metadata": { "id": "4MoYj2BhrNoR" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df=pd.read_csv('/content/news_prepared_to_model_wig20_th.csv', index_col=0)" ], "metadata": { "id": "KVQWyhINwtsn" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df['sentiment']=df['sentiment'].map({1:'negative',2:'neutral',3:'positive'})" ], "metadata": { "id": "f0vFNOVWw-8j" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "#one hot encoding labels\n", "get_dum_labels=pd.get_dummies(df['sentiment'])" ], "metadata": { "id": "hcPFO0lI8JCK" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df=df.join(get_dum_labels)" ], "metadata": { "id": "a6GPKtQJ8W0E" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df=df.rename(columns={'sentiment':'label'})" ], "metadata": { "id": "rb2sPBE3582j" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df=df[['text','positive','negative','neutral']]" ], "metadata": { "id": "FZ_CMmBKF9eS" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df.to_csv('/content/news_prepared.csv', index=False)" ], "metadata": { "id": "5ujVQEtPxEqU" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "from datasets import load_dataset, load_metric\n", "dataset=load_dataset('csv', data_files='/content/news_prepared.csv', split='train')" ], "metadata": { "id": "lXRzx2AJsYXC" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "dataset = dataset.train_test_split(test_size=0.3)" ], "metadata": { "id": "ESK8hyfC0O7x" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "cols = dataset['train'].column_names\n", "\n", "dataset = 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