是否可以使用PyTorch闪电螺栓在实例分段任务上微调SimCLR？

import pytorch_lightning as pl
import torch
import torch.nn as nn
import torch.optim as optim

class SimCLRInstanceSegmentation(pl.LightningModule):
    def __init__(self, model, learning_rate=1e-3):
        super().__init__()
        self.model = model
        self.learning_rate = learning_rate

    def forward(self, x):
        return self.model(x)

    def training_step(self, batch, batch_idx):
        x, y = batch
        y_hat = self(x)
        loss = ...  # 计算损失
        self.log('train_loss', loss)
        return loss

    def validation_step(self, batch, batch_idx):
        x, y = batch
        y_hat = self(x)
        val_loss = ...  # 计算验证损失
        self.log('val_loss', val_loss)

    def test_step(self, batch, batch_idx):
        x, y = batch
        y_hat = self(x)
        test_loss = ...  # 计算测试损失
        self.log('test_loss', test_loss)

    def configure_optimizers(self):
        optimizer = optim.Adam(self.parameters(), lr=self.learning_rate)
        return optimizer

from pytorch_lightning import Trainer

model = SimCLRInstanceSegmentation(...)  # 创建模型实例
trainer = Trainer(max_epochs=100, gpus=1)  # 创建Trainer实例
trainer.fit(model, train_dataloader, val_dataloader)  # 训练模型