| | |
|---|
| | | from funasr.train_utils.trainer import Trainer |
|---|
| | | from funasr.schedulers import scheduler_classes |
|---|
| | | from funasr.train_utils.initialize import initialize |
|---|
| | | from funasr.download.download_from_hub import download_model |
|---|
| | | from funasr.download.download_model_from_hub import download_model |
|---|
| | | from funasr.models.lora.utils import mark_only_lora_as_trainable |
|---|
| | | from funasr.train_utils.set_all_random_seed import set_all_random_seed |
|---|
| | | from funasr.train_utils.load_pretrained_model import load_pretrained_model |
|---|
| | |
|---|
| | | logging.info( |
|---|
| | | f"rank: {local_rank}, " |
|---|
| | | f"time_escaped_epoch: {time_escaped:.3f} hours, " |
|---|
| | | f"estimated to finish {dataloader.data_split_num} data_slices, remaining: {(dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours" |
|---|
| | | f"epoch: {((trainer.max_epoch - epoch - 1)*dataloader.data_split_num + dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours\n" |
|---|
| | | f"estimated to finish {dataloader.data_split_num} data_slices, remaining: {dataloader.data_split_num-data_split_i} slices, {(dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours, " |
|---|
| | | f"epoch: {trainer.max_epoch - epoch} epochs, {((trainer.max_epoch - epoch - 1)*dataloader.data_split_num + dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours\n" |
|---|
| | | ) |
|---|
| | | |
|---|
| | | trainer.start_data_split_i = 0 |
|---|
