train/train.py

from transformers import TrainingArguments, Trainer, AutoModelForSequenceClassification

# Define your model
model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased", num_labels=2)

# Define your training arguments
training_args = TrainingArguments(
    output_dir="./results",
    num_train_epochs=3,
    per_device_train_batch_size=16,
    per_device_eval_batch_size=64,
    warmup_steps=500,
    weight_decay=0.01,
    logging_dir='./logs',
)

# Create a Trainer instance
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_dataset["train"],
    eval_dataset=tokenized_dataset["validation"],
)

# Train the model
trainer.train()