diff --git a/src/model/trainer.py b/src/model/trainer.py index 63baa58..8ae627a 100644 --- a/src/model/trainer.py +++ b/src/model/trainer.py @@ -112,6 +112,7 @@ class Trainer: self.use_tensorboard = use_tensorboard # 设置设备 + logger.info(f"GPU可用： {torch.cuda.is_available()}") if device is None: self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") else: @@ -226,7 +227,7 @@ class Trainer: token_type_ids = batch["token_type_ids"].to(self.device) attention_mask = batch["attention_mask"].to(self.device) history_slot_ids = batch["history_slot_ids"].to(self.device) - pinyin_ids = batch["pinyin_ids"].to(self.device).squeeze(-1) + pinyin_ids = batch["pinyin_ids"].to(self.device) labels = batch["labels"].to(self.device).squeeze(-1) # [batch_size] # 混合精度训练 @@ -283,13 +284,15 @@ class Trainer: token_type_ids = batch["token_type_ids"].to(self.device) attention_mask = batch["attention_mask"].to(self.device) history_slot_ids = batch["history_slot_ids"].to(self.device) - labels = batch["label"].to(self.device).squeeze(1) + pinyin_ids = batch["pinyin_ids"].to(self.device) + labels = batch["labels"].to(self.device).squeeze(-1) # 前向传播 logits = self.model( input_ids=input_ids, token_type_ids=token_type_ids, attention_mask=attention_mask, + pinyin_ids=pinyin_ids, history_slot_ids=history_slot_ids, ) @@ -782,7 +785,7 @@ def train( train_dataloader = DataLoader( train_dataset, batch_size=batch_size, - 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