funasr2

游雁

2023-12-11 d77910eb6d171727f2350e45c31c91436c4c8891

funasr2

 examples/aishell/conf/train_asr_paraformer_conformer_12e_6d_2048_256.yaml

New file
@@ -0,0 +1,113 @@

# network architecture
model: funasr.cli.models.paraformer:Paraformer
model_conf:
    ctc_weight: 0.3
    lsm_weight: 0.1
    length_normalized_loss: false
    predictor_weight: 1.0
    sampling_ratio: 0.4
    use_1st_decoder_loss: true


# encoder related
encoder: conformer
encoder_conf:
    output_size: 256    # dimension of attention
    attention_heads: 4
    linear_units: 2048  # the number of units of position-wise feed forward
    num_blocks: 12      # the number of encoder blocks
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    attention_dropout_rate: 0.0
    input_layer: conv2d # encoder architecture type
    normalize_before: true
    pos_enc_layer_type: rel_pos
    selfattention_layer_type: rel_selfattn
    activation_type: swish
    macaron_style: true
    use_cnn_module: true
    cnn_module_kernel: 15

# decoder related
decoder: paraformer_decoder_san
decoder_conf:
    attention_heads: 4
    linear_units: 2048
    num_blocks: 6
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.0
    src_attention_dropout_rate: 0.0

# frontend related
frontend: wav_frontend
frontend_conf:
    fs: 16000
    window: hamming
    n_mels: 80
    frame_length: 25
    frame_shift: 10
    lfr_m: 1
    lfr_n: 1


train_conf:
  accum_grad: 1
  grad_clip: 5
  max_epoch: 150
  val_scheduler_criterion:
      - valid
      - acc
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  log_interval: 50

optim: adam
optim_conf:
   lr: 0.0005
scheduler: warmuplr
scheduler_conf:
   warmup_steps: 30000

specaug: specaug
specaug_conf:
    apply_time_warp: true
    time_warp_window: 5
    time_warp_mode: bicubic
    apply_freq_mask: true
    freq_mask_width_range:
    - 0
    - 30
    num_freq_mask: 2
    apply_time_mask: true
    time_mask_width_range:
    - 0
    - 40
    num_time_mask: 2

predictor: cif_predictor
predictor_conf:
    idim: 256
    threshold: 1.0
    l_order: 1
    r_order: 1
    tail_threshold: 0.45

dataset_conf:
    data_names: speech,text
    data_types: sound,text
    shuffle: True
    shuffle_conf:
        shuffle_size: 2048
        sort_size: 500
    batch_conf:
        batch_type: example
        batch_size: 2
    num_workers: 8


normalize: null

 examples/aishell/run.sh

New file
@@ -0,0 +1,9 @@

cmd="funasr_cli/cli/train_cli.py"

python $cmd \
--config-path "/Users/zhifu/funasr_github/test_local/funasr_cli_egs" \
--config-name "config.yaml" \
+token_list="/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
+train_data_set_list="/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl" \
+output_dir="/nfs/zhifu.gzf/ckpt/funasr2/exp1"

 examples/industrial_data_pretraining/paraformer-large/conf/finetune.yaml

New file
@@ -0,0 +1,120 @@

# network architecture
model: funasr.cli.models.paraformer:Paraformer
model_conf:
    ctc_weight: 0.0
    lsm_weight: 0.1
    length_normalized_loss: true
    predictor_weight: 1.0
    predictor_bias: 1
    sampling_ratio: 0.75

# encoder
encoder: sanm
encoder_conf:
    output_size: 512
    attention_heads: 4
    linear_units: 2048
    num_blocks: 50
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    attention_dropout_rate: 0.1
    input_layer: pe
    pos_enc_class: SinusoidalPositionEncoder
    normalize_before: true
    kernel_size: 11
    sanm_shfit: 0
    selfattention_layer_type: sanm

# decoder
decoder: paraformer_decoder_sanm
decoder_conf:
    attention_heads: 4
    linear_units: 2048
    num_blocks: 16
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.1
    src_attention_dropout_rate: 0.1
    att_layer_num: 16
    kernel_size: 11
    sanm_shfit: 0

predictor: cif_predictor_v2
predictor_conf:
    idim: 512
    threshold: 1.0
    l_order: 1
    r_order: 1
    tail_threshold: 0.45

# frontend related
frontend: wav_frontend
frontend_conf:
    fs: 16000
    window: hamming
    n_mels: 80
    frame_length: 25
    frame_shift: 10
    lfr_m: 7
    lfr_n: 6

specaug: specaug_lfr
specaug_conf:
    apply_time_warp: false
    time_warp_window: 5
    time_warp_mode: bicubic
    apply_freq_mask: true
    freq_mask_width_range:
    - 0
    - 30
    lfr_rate: 6
    num_freq_mask: 1
    apply_time_mask: true
    time_mask_width_range:
    - 0
    - 12
    num_time_mask: 1

train_conf:
  accum_grad: 1
  grad_clip: 5
  max_epoch: 150
  val_scheduler_criterion:
      - valid
      - acc
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  log_interval: 50

optim: adam
optim_conf:
   lr: 0.0005
scheduler: warmuplr
scheduler_conf:
   warmup_steps: 30000


dataset_conf:
    data_names: speech,text
    data_types: sound,text
    shuffle: True
    shuffle_conf:
        shuffle_size: 2048
        sort_size: 500
    batch_conf:
        batch_type: example
        batch_size: 2
    num_workers: 8

split_with_space: true
input_size: 560
ctc_conf:
    dropout_rate: 0.0
    ctc_type: builtin
    reduce: true
    ignore_nan_grad: true
normalize: null

 examples/industrial_data_pretraining/paraformer-large/run.sh

New file
@@ -0,0 +1,12 @@

cmd="funasr/cli/train_cli.py"

python $cmd \
+model_pretrain="/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \
+token_list="/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
+train_data_set_list="/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl" \
+output_dir="/Users/zhifu/Downloads/ckpt/funasr2/exp2" \
+device="cpu"

#--config-path "/Users/zhifu/funasr_github/examples/industrial_data_pretraining/paraformer-large/conf" \
#--config-name "finetune.yaml" \

 funasr/cli/models/paraformer.py

@@ -193,6 +193,7 @@
            self.decoder.embed = None

        self.use_1st_decoder_loss = use_1st_decoder_loss
        self.length_normalized_loss = length_normalized_loss
    
    def forward(
        self,
@@ -302,6 +303,8 @@
        stats["loss"] = torch.clone(loss.detach())
        
        # force_gatherable: to-device and to-tensor if scalar for DataParallel
        if self.length_normalized_loss:
            batch_size = (text_lengths + self.predictor_bias).sum()
        loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
        return loss, stats, weight
    

 funasr/cli/train_cli.py

@@ -25,17 +25,25 @@
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP

from funasr.utils.download_from_hub import download_model

def preprocess_config(cfg: DictConfig):
    for key, value in cfg.items():
        if value == 'None':
            cfg[key] = None

@hydra.main(config_name=None, version_base=None)
def main_hydra(kwargs: DictConfig):
    import pdb; pdb.set_trace()
    if kwargs.get("model_pretrain"):
        kwargs = download_model(**kwargs)
	
    import pdb;
    pdb.set_trace()
    main(**kwargs)


@hydra.main()
def main(kwargs: DictConfig):
def main(**kwargs):
    # preprocess_config(kwargs)
    # import pdb; pdb.set_trace()
    # set random seed
@@ -76,10 +84,10 @@
    # init_param
    init_param = kwargs.get("init_param", None)
    if init_param is not None:
        init_param = eval(init_param)
        init_param = init_param
        if isinstance(init_param, Sequence):
            init_param = (init_param,)
        logging.info("init_param is not None: ", init_param)
        logging.info("init_param is not None: %s", init_param)
        for p in init_param:
            logging.info(f"Loading pretrained params from {p}")
            load_pretrained_model(
@@ -99,7 +107,7 @@
        freeze_param = eval(freeze_param)
        if isinstance(freeze_param, Sequence):
            freeze_param = (freeze_param,)
        logging.info("freeze_param is not None: ", freeze_param)
        logging.info("freeze_param is not None: %s", freeze_param)
        for t in freeze_param:
            for k, p in model.named_parameters():
                if k.startswith(t + ".") or k == t:
@@ -138,8 +146,14 @@
    dataloader_tr = torch.utils.data.DataLoader(dataset_tr,
                                                collate_fn=dataset_tr.collator,
                                                batch_sampler=batch_sampler,
                                                num_workers=kwargs.get("num_workers", 0),
                                                num_workers=kwargs.get("dataset_conf").get("num_workers", 4),
                                                pin_memory=True)
	
    if (use_ddp or use_fsdp) and dist.get_rank() == 0 or not (use_ddp or use_fsdp) and local_rank == 0:
        os.makedirs(kwargs.get("output_dir", "./"), exist_ok=True)
        yaml_file = os.path.join(kwargs.get("output_dir", "./"), "config.yaml")
        OmegaConf.save(config=kwargs, f=yaml_file)
        logging.info("config.yaml is saved to: %s", yaml_file)

    trainer = Trainer(
        model=model,
@@ -160,4 +174,4 @@
    

if __name__ == "__main__":
    main()
    main_hydra()

 funasr/cli/trainer.py

@@ -2,6 +2,7 @@
import os
from funasr.torch_utils.device_funcs import to_device
import logging
import time
from tqdm import tqdm
from contextlib import nullcontext
import torch.distributed as dist
@@ -53,19 +54,27 @@
        self.dataloader_train = dataloader_train
        self.dataloader_val = dataloader_val
        self.output_dir = kwargs.get('output_dir', './')
        self.resume = kwargs.get('resume', None)
        self.resume = kwargs.get('resume', True)
        self.start_epoch = 1
        self.max_epoch = kwargs.get('max_epoch', 100)
        self.local_rank = local_rank
        self.rank = dist.get_rank()
        self.world_size = dist.get_world_size()
        self.use_ddp = use_ddp
        self.use_fsdp = use_fsdp
        self.device = torch.device("cuda", local_rank)
        self.device = next(model.parameters()).device
        self.kwargs = kwargs
        
        if self.resume:
            self._resume_checkpoint(self.resume)
	
        try:
            rank = dist.get_rank()
            world_size = dist.get_world_size()
        except:
            rank = 0
            world_size = 1
            logging.warning("distributed is not initialized, only single shard")
        self.rank = rank
        self.world_size = world_size
    
    def _save_checkpoint(self, epoch):
        """
@@ -117,6 +126,7 @@
            if dist.get_rank() == 0:
                self._save_checkpoint(epoch)
            self.scheduler.step()
            break
    
    def _train_epoch(self, epoch):
        """
@@ -132,13 +142,21 @@
        accum_grad = self.kwargs.get("accum_grad", 1)
        # Initialize the gradient accumulation
        self.optim.zero_grad()
		
        speed_stats = {}
        time5 = time.perf_counter()
        for batch_idx, batch in enumerate(self.dataloader_train):
            time1 = time.perf_counter()
            speed_stats["data_load"] = f"{time1-time5:0.3f}"
            # import pdb;
            # pdb.set_trace()
            batch = to_device(batch, self.device)
            
            my_context = self.model.no_sync if batch_idx % accum_grad != 0 else nullcontext
            with my_context():
                time2 = time.perf_counter()
                retval = self.model(**batch)
                time3 = time.perf_counter()
                speed_stats["forward_time"] = f"{time3 - time2:0.3f}"
                loss, stats, weight = retval
                stats = {k: v for k, v in stats.items() if v is not None}
                if self.use_ddp or self.use_fsdp:
@@ -154,6 +172,8 @@
                # Scale the loss since we're not updating for every mini-batch
                loss = loss / accum_grad
                loss.backward()
                time4 = time.perf_counter()
                speed_stats["backward_time"] = f"{time4 - time3:0.3f}"
            
            # Perform an optimizer step only after accumulating enough gradients
            if (batch_idx + 1) % accum_grad == 0 or (batch_idx + 1) == len(self.dataloader_train):
@@ -176,12 +196,26 @@
                self.scheduler.step()
                # Clear gradients for the next accumulation stage
                self.optim.zero_grad()
                total_time = f"{time.perf_counter() - time5:0.3f}"
                time5 = time.perf_counter()
                speed_stats["optim_time"] = f"{time5 - time4:0.3f}"
	
                speed_stats["total_time"] = total_time
				
            
            pbar.update(1)
            if self.local_rank == 0:
                pbar.set_description(
                    f"Training Epoch: {epoch + 1}/{self.max_epoch}, step {batch_idx}/{len(self.dataloader_train)}  (loss: {loss.detach().float():.3f}, {[(k, round(v.cpu().item(), 3)) for k, v in stats.items()]})")
                description = (
                    f"Epoch: {epoch + 1}/{self.max_epoch}, "
                    f"step {batch_idx}/{len(self.dataloader_train)}, "
                    f"{speed_stats}, "
                    f"(loss: {loss.detach().float():.3f}), "
                    f"{[(k, round(v.cpu().item(), 3)) for k, v in stats.items()]}"
                )
                pbar.set_description(description)
            
            if batch_idx == 2:
                break
        pbar.close()

    def _validate_epoch(self, epoch):

 funasr/datasets/dataset_jsonl.py

@@ -6,6 +6,7 @@
import librosa
import torchaudio
import time
import logging

def load_audio(audio_path: str, fs: int=16000):
    audio = None
@@ -41,8 +42,7 @@
    
    def __init__(self, path):
        super().__init__()
        # data_parallel_size = dist.get_world_size()
        data_parallel_size = 1
		
        contents = []
        with open(path, encoding='utf-8') as fin:
            for line in fin:
@@ -66,12 +66,20 @@
        
        self.contents = []
        total_num = len(contents)
        num_per_rank = total_num // data_parallel_size
        # rank = dist.get_rank()
        try:
            rank = dist.get_rank()
            world_size = dist.get_world_size()
        except:
        rank = 0
            world_size = 1
            logging.warning("distributed is not initialized, only single shard")
        num_per_rank = total_num // world_size
		
        # rank = 0
        # import ipdb; ipdb.set_trace()
        self.contents = contents[rank * num_per_rank:(rank + 1) * num_per_rank]

        logging.info("in rank: {}, num of samplers: {}, total_num of samplers across ranks: {}".format(rank, len(self.contents), len(contents)))

    def __len__(self):
        return len(self.contents)

 funasr/utils/download_from_hub.py

New file
@@ -0,0 +1,63 @@
import os
from omegaconf import OmegaConf
import torch
from funasr.utils.name_maps_from_hub import name_maps_ms, name_maps_hf

def download_model(**kwargs):
    model_hub = kwargs.get("model_hub", "ms")
    if model_hub == "ms":
        kwargs = download_fr_ms(**kwargs)
	
    return kwargs

def download_fr_ms(**kwargs):
    model_or_path = kwargs.get("model_pretrain")
    model_revision = kwargs.get("model_pretrain_revision")
    if not os.path.exists(model_or_path):
        model_or_path = get_or_download_model_dir(model_or_path, model_revision, third_party="funasr")
	
    config = os.path.join(model_or_path, "config.yaml")
    assert os.path.exists(config), "{} is not exist!".format(config)
    cfg = OmegaConf.load(config)
    kwargs = OmegaConf.merge(cfg, kwargs)
    init_param = os.path.join(model_or_path, "model.pb")
    kwargs["init_param"] = init_param
    kwargs["token_list"] = os.path.join(model_or_path, "tokens.txt")
	
    return kwargs

def get_or_download_model_dir(
                              model,
                              model_revision=None,
                              third_party=None):
    """ Get local model directory or download model if necessary.

    Args:
        model (str): model id or path to local model directory.
        model_revision  (str, optional): model version number.
        third_party (str, optional): in which third party library
            this function is called.
    """
    from modelscope.hub.check_model import check_local_model_is_latest
    from modelscope.hub.snapshot_download import snapshot_download

    from modelscope.utils.constant import Invoke, ThirdParty
	
    if os.path.exists(model):
        model_cache_dir = model if os.path.isdir(
            model) else os.path.dirname(model)
        check_local_model_is_latest(
            model_cache_dir,
            user_agent={
                Invoke.KEY: Invoke.LOCAL_TRAINER,
                ThirdParty.KEY: third_party
            })
    else:
        model_cache_dir = snapshot_download(
            model,
            revision=model_revision,
            user_agent={
                Invoke.KEY: Invoke.TRAINER,
                ThirdParty.KEY: third_party
            })
    return model_cache_dir

 funasr/utils/name_maps_from_hub.py

New file
@@ -0,0 +1,16 @@


name_maps_ms = {
    "paraformer-zh": "damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
    "paraformer-zh-spk": "damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn",
    "paraformer-en": "damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020",
    "paraformer-en-spk": "damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020",
    "paraformer-zh-streaming": "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online",
    "fsmn-vad": "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
    "ct-punc": "damo/punc_ct-transformer_cn-en-common-vocab471067-large",
    "fa-zh": "damo/speech_timestamp_prediction-v1-16k-offline",
}

name_maps_hf = {

}

 outputs/2023-12-11/10-35-57/.hydra/config.yaml

New file
@@ -0,0 +1 @@
{}

 outputs/2023-12-11/10-35-57/.hydra/hydra.yaml

New file
@@ -0,0 +1,154 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task: []
  job:
    name: train_cli
    chdir: null
    override_dirname: ''
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-35-57
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-35-57/.hydra/overrides.yaml

New file
@@ -0,0 +1 @@
[]

 outputs/2023-12-11/10-35-57/train_cli.log

 outputs/2023-12-11/10-37-01/.hydra/config.yaml

New file
@@ -0,0 +1 @@
{}

 outputs/2023-12-11/10-37-01/.hydra/hydra.yaml

New file
@@ -0,0 +1,154 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task: []
  job:
    name: train_cli
    chdir: null
    override_dirname: ''
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-37-01
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-37-01/.hydra/overrides.yaml

New file
@@ -0,0 +1 @@
[]

 outputs/2023-12-11/10-37-01/train_cli.log

 outputs/2023-12-11/10-39-53/.hydra/config.yaml

New file
@@ -0,0 +1 @@
{}

 outputs/2023-12-11/10-39-53/.hydra/hydra.yaml

New file
@@ -0,0 +1,154 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task: []
  job:
    name: train_cli
    chdir: null
    override_dirname: ''
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-39-53
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-39-53/.hydra/overrides.yaml

New file
@@ -0,0 +1 @@
[]

 outputs/2023-12-11/10-39-53/train_cli.log

 outputs/2023-12-11/10-41-29/.hydra/config.yaml

New file
@@ -0,0 +1,74 @@
model: funasr.cli.models.paraformer:Paraformer
model_conf:
  ctc_weight: 0.3
  lsm_weight: 0.1
  length_normalized_loss: false
  predictor_weight: 1.0
  sampling_ratio: 0.4
  use_1st_decoder_loss: true
frontend: wav_frontend
frontend_conf:
  fs: 16000
  window: hamming
  n_mels: 80
  frame_length: 25
  frame_shift: 10
  lfr_m: 1
  lfr_n: 1
train_conf:
  accum_grad: 1
  grad_clip: 5
  max_epoch: 150
  val_scheduler_criterion:
  - valid
  - acc
  best_model_criterion:
  - - valid
    - acc
    - max
  keep_nbest_models: 10
  log_interval: 50
optim: adam
optim_conf:
  lr: 0.0005
scheduler: warmuplr
scheduler_conf:
  warmup_steps: 30000
specaug: specaug
specaug_conf:
  apply_time_warp: true
  time_warp_window: 5
  time_warp_mode: bicubic
  apply_freq_mask: true
  freq_mask_width_range:
  - 0
  - 30
  num_freq_mask: 2
  apply_time_mask: true
  time_mask_width_range:
  - 0
  - 40
  num_time_mask: 2
predictor: cif_predictor
predictor_conf:
  idim: 256
  threshold: 1.0
  l_order: 1
  r_order: 1
  tail_threshold: 0.45
dataset_conf:
  data_names: speech,text
  data_types: sound,text
  shuffle: true
  shuffle_conf:
    shuffle_size: 2048
    sort_size: 500
  batch_conf:
    batch_type: example
    batch_size: 2
  num_workers: 8
normalize: null
model_pretrain: damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-41-29/.hydra/hydra.yaml

New file
@@ -0,0 +1,158 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
  job:
    name: train_cli
    chdir: null
    override_dirname: +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: finetune.yaml
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/examples/industrial_data_pretraining/paraformer-large/conf
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-41-29
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-41-29/.hydra/overrides.yaml

New file
@@ -0,0 +1,4 @@
- +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-41-29/train_cli.log

 outputs/2023-12-11/10-44-08/.hydra/config.yaml

New file
@@ -0,0 +1,4 @@
model_pretrain: damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-44-08/.hydra/hydra.yaml

New file
@@ -0,0 +1,158 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
  job:
    name: train_cli
    chdir: null
    override_dirname: +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-44-08
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-44-08/.hydra/overrides.yaml

New file
@@ -0,0 +1,4 @@
- +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-44-08/train_cli.log

 outputs/2023-12-11/10-45-48/.hydra/config.yaml

New file
@@ -0,0 +1,4 @@
model_pretrain: damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-45-48/.hydra/hydra.yaml

New file
@@ -0,0 +1,158 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
  job:
    name: train_cli
    chdir: null
    override_dirname: +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/10-45-48
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/10-45-48/.hydra/overrides.yaml

New file
@@ -0,0 +1,4 @@
- +model_pretrain=damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/10-45-48/train_cli.log

 outputs/2023-12-11/11-26-16/.hydra/config.yaml

New file
@@ -0,0 +1,4 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/11-26-16/.hydra/hydra.yaml

New file
@@ -0,0 +1,158 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
  job:
    name: train_cli
    chdir: null
    override_dirname: +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.1'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: /Users/zhifu/funasr_github/funasr/cli
      schema: file
      provider: main
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-26-16
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-26-16/.hydra/overrides.yaml

New file
@@ -0,0 +1,4 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/11-26-16/train_cli.log

 outputs/2023-12-11/11-32-18/.hydra/config.yaml

New file
@@ -0,0 +1,4 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/11-32-18/.hydra/hydra.yaml

New file
@@ -0,0 +1,155 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
  job:
    name: train_cli
    chdir: null
    override_dirname: +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-32-18
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-32-18/.hydra/overrides.yaml

New file
@@ -0,0 +1,4 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2

 outputs/2023-12-11/11-32-18/train_cli.log

New file
@@ -0,0 +1 @@
[2023-12-11 11:32:54,061][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb

 outputs/2023-12-11/11-33-27/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/11-33-27/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-33-27
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-33-27/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/11-33-27/train_cli.log

New file
@@ -0,0 +1 @@
[2023-12-11 11:33:45,313][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb

 outputs/2023-12-11/11-36-25/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /nfs/zhifu.gzf/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/11-36-25/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-36-25
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-36-25/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/nfs/zhifu.gzf/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/11-36-25/train_cli.log

New file
@@ -0,0 +1,2 @@
[2023-12-11 11:36:30,624][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 11:36:31,819][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/11-37-13/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu.gzf/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/11-37-13/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu.gzf/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu.gzf/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-37-13
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-37-13/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu.gzf/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/11-37-13/train_cli.log

New file
@@ -0,0 +1,2 @@
[2023-12-11 11:43:26,900][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 11:43:28,209][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/11-44-36/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/11-44-36/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-44-36
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-44-36/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/11-44-36/train_cli.log

New file
@@ -0,0 +1,2 @@
[2023-12-11 11:44:48,432][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 11:44:49,667][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/11-48-01/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/11-48-01/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/11-48-01
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/11-48-01/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/11-48-01/train_cli.log

New file
@@ -0,0 +1,3 @@
[2023-12-11 11:48:05,427][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 11:48:07,007][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 11:48:07,026][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-06-39/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-06-39/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-06-39
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-06-39/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-06-39/train_cli.log

 outputs/2023-12-11/13-07-13/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-07-13/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-07-13
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-07-13/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-07-13/train_cli.log

New file
@@ -0,0 +1,3 @@
[2023-12-11 13:07:30,599][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:07:31,757][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:07:31,859][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-12-46/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-12-46/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-12-46
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-12-46/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-12-46/train_cli.log

New file
@@ -0,0 +1,5 @@
[2023-12-11 13:12:51,157][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:12:51,157][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:12:52,231][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:12:52,266][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:12:52,266][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-16-01/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-16-01/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-16-01
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-16-01/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-16-01/train_cli.log

New file
@@ -0,0 +1,6 @@
[2023-12-11 13:16:27,835][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:16:27,835][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:16:28,828][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:16:28,828][root][INFO] - in rank: 0, num of samplers: 640, total_num of samplers across ranks: 640
[2023-12-11 13:16:28,835][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:16:28,835][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-19-05/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-19-05/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-19-05
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-19-05/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-19-05/train_cli.log

New file
@@ -0,0 +1,6 @@
[2023-12-11 13:19:09,868][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:19:09,868][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:19:11,006][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:19:11,006][root][INFO] - in rank: 0, num of samplers: 640, total_num of samplers across ranks: 640
[2023-12-11 13:19:11,014][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:19:11,014][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-24-15/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-24-15/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-24-15
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-24-15/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-24-15/train_cli.log

New file
@@ -0,0 +1,6 @@
[2023-12-11 13:24:21,397][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:24:21,397][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:24:21,980][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:24:21,980][root][INFO] - in rank: 0, num of samplers: 640, total_num of samplers across ranks: 640
[2023-12-11 13:24:21,987][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:24:21,987][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-37-51/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-37-51/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-37-51
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-37-51/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-37-51/train_cli.log

New file
@@ -0,0 +1,6 @@
[2023-12-11 13:38:00,018][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:38:00,019][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:38:01,162][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:38:01,162][root][INFO] - in rank: 0, num of samplers: 640, total_num of samplers across ranks: 640
[2023-12-11 13:38:01,248][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:38:01,249][root][WARNING] - distributed is not initialized, only single shard

 outputs/2023-12-11/13-39-37/.hydra/config.yaml

New file
@@ -0,0 +1,5 @@
model_pretrain: /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
token_list: /Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
train_data_set_list: /Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
output_dir: /Users/zhifu/Downloads/ckpt/funasr2/exp2
device: cpu

 outputs/2023-12-11/13-39-37/.hydra/hydra.yaml

New file
@@ -0,0 +1,156 @@
hydra:
  run:
    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
  sweep:
    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
    subdir: ${hydra.job.num}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: RUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra.mode=RUN
    task:
    - +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
    - +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
    - +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    - +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
    - +device=cpu
  job:
    name: train_cli
    chdir: null
    override_dirname: +device=cpu,+model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch,+output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2,+token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt,+train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
    id: ???
    num: ???
    config_name: null
    env_set: {}
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /Users/zhifu/funasr_github
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: ''
      schema: structured
      provider: schema
    output_dir: /Users/zhifu/funasr_github/outputs/2023-12-11/13-39-37
    choices:
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false

 outputs/2023-12-11/13-39-37/.hydra/overrides.yaml

New file
@@ -0,0 +1,5 @@
- +model_pretrain=/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
- +token_list=/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt
- +train_data_set_list=/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl
- +output_dir=/Users/zhifu/Downloads/ckpt/funasr2/exp2
- +device=cpu

 outputs/2023-12-11/13-39-37/train_cli.log

New file
@@ -0,0 +1,6 @@
[2023-12-11 13:39:40,353][root][INFO] - init_param is not None: ('/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb',)
[2023-12-11 13:39:40,353][root][INFO] - Loading pretrained params from /Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
[2023-12-11 13:39:41,780][root][WARNING] - distributed is not initialized, only single shard
[2023-12-11 13:39:41,780][root][INFO] - in rank: 0, num of samplers: 640, total_num of samplers across ranks: 640
[2023-12-11 13:39:41,861][root][INFO] - config.yaml is saved to: /Users/zhifu/Downloads/ckpt/funasr2/exp2/config.yaml
[2023-12-11 13:39:41,862][root][WARNING] - distributed is not initialized, only single shard