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import numpy as np | |
import pandas as pd | |
from sklearn.model_selection import train_test_split | |
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score | |
import torch | |
from transformers import TrainingArguments, Trainer | |
from transformers import BertTokenizer, BertForSequenceClassification | |
from transformers import EarlyStoppingCallback | |
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{ | |
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"execution_count": 1, | |
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{ | |
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{ | |
"cells": [ | |
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"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [ | |
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"name": "stderr", | |
"output_type": "stream", |
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{ | |
"cells": [ | |
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{ | |
"cells": [ | |
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"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
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{ | |
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