train finetune

游雁

2024-02-20 c0011994f09f9983bac45cd9db56f51f8a4b8cf1

train finetune

 examples/aishell/transformer/run.sh

@@ -39,7 +39,7 @@
valid_set=dev
test_sets="dev test"

config=paraformer_conformer_12e_6d_2048_256.yaml
config=transformer_12e_6d_2048_256.yaml
model_dir="baseline_$(basename "${config}" .yaml)_${lang}_${token_type}_${tag}"



 funasr/train_utils/trainer.py

@@ -276,7 +276,7 @@
                description = (
                    f"rank: {self.local_rank}, "
                    f"epoch: {epoch}/{self.max_epoch}, "
                    f"step: {batch_idx}/{len(self.dataloader_train)}, total: {self.batch_total}, "
                    f"step: {batch_idx+1}/{len(self.dataloader_train)}, total: {self.batch_total}, "
                    f"(loss: {loss.detach().cpu().item():.3f}), "
                    f"{[(k, round(v.cpu().item(), 3)) for k, v in stats.items()]}, "
                    f"{speed_stats}, "
@@ -341,7 +341,7 @@
                    description = (
                        f"rank: {self.local_rank}, "
                        f"validation epoch: {epoch}/{self.max_epoch}, "
                        f"step: {batch_idx}/{len(self.dataloader_val)}, "
                        f"step: {batch_idx+1}/{len(self.dataloader_val)}, "
                        f"(loss: {loss.detach().cpu().item():.3f}), "
                        f"{[(k, round(v.cpu().item(), 3)) for k, v in stats.items()]}, "
                        f"{speed_stats}, "