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bolero_v1/.hydra/config.yaml

@@ -0,0 +1,114 @@
+paths:
+  run_dir: results/${project}
+  ckpt_dir: ${paths.run_dir}/checkpoints
+trainer:
+  _target_: lightning.pytorch.trainer.Trainer
+  default_root_dir: ${paths.run_dir}
+  accelerator: gpu
+  num_nodes: 1
+  devices: auto
+  strategy:
+    _target_: lightning.pytorch.strategies.DDPStrategy
+    process_group_backend: nccl
+  precision: bf16-true
+  check_val_every_n_epoch: null
+  val_check_interval: 1000
+  max_steps: 100000
+  benchmark: true
+  accumulate_grad_batches: 1
+  gradient_clip_val: 1.0
+  gradient_clip_algorithm: norm
+  limit_val_batches: 10
+callbacks:
+  model_checkpoint:
+    _target_: lightning.pytorch.callbacks.ModelCheckpoint
+    dirpath: ${paths.ckpt_dir}
+    filename: step_{step:09d}
+    save_last: false
+    save_top_k: 5
+    monitor: step
+    mode: max
+    every_n_epochs: null
+    every_n_train_steps: ${trainer.val_check_interval}
+    auto_insert_metric_name: false
+  model_summary:
+    _target_: lightning.pytorch.callbacks.ModelSummary
+    max_depth: 2
+  learning_rate_monitor:
+    _target_: lightning.pytorch.callbacks.LearningRateMonitor
+    logging_interval: step
+    log_momentum: false
+  grad_norm_monitor:
+    _target_: fish_speech.callbacks.GradNormMonitor
+    norm_type: 2
+    logging_interval: step
+logger:
+  tensorboard:
+    _target_: lightning.pytorch.loggers.tensorboard.TensorBoardLogger
+    save_dir: ${paths.run_dir}/tensorboard/
+    name: null
+    log_graph: false
+    default_hp_metric: true
+    prefix: ''
+train: true
+test: false
+project: mix_v2
+max_length: 1024
+pretrained_ckpt_path: checkpoints/fish-speech-1.2
+tokenizer:
+  _target_: transformers.AutoTokenizer.from_pretrained
+  pretrained_model_name_or_path: ${pretrained_ckpt_path}
+train_dataset:
+  _target_: fish_speech.datasets.semantic.AutoTextSemanticInstructionDataset
+  proto_files:
+  - data/protos
+  tokenizer: ${tokenizer}
+  causal: true
+  max_length: ${max_length}
+  use_speaker: false
+  interactive_prob: 0.7
+val_dataset:
+  _target_: fish_speech.datasets.semantic.AutoTextSemanticInstructionDataset
+  proto_files:
+  - data/protos
+  tokenizer: ${tokenizer}
+  causal: true
+  max_length: ${max_length}
+  use_speaker: false
+  interactive_prob: 0.7
+data:
+  _target_: fish_speech.datasets.semantic.SemanticDataModule
+  train_dataset: ${train_dataset}
+  val_dataset: ${val_dataset}
+  num_workers: 4
+  batch_size: 4
+  tokenizer: ${tokenizer}
+  max_length: ${max_length}
+model:
+  _target_: fish_speech.models.text2semantic.lit_module.TextToSemantic
+  model:
+    _target_: fish_speech.models.text2semantic.llama.BaseTransformer.from_pretrained
+    path: ${pretrained_ckpt_path}
+    load_weights: true
+    max_length: ${max_length}
+    lora_config:
+      _target_: fish_speech.models.text2semantic.lora.LoraConfig
+      r: 8
+      lora_alpha: 16
+      lora_dropout: 0.01
+  optimizer:
+    _target_: torch.optim.AdamW
+    _partial_: true
+    lr: 0.0001
+    weight_decay: 0.01
+    betas:
+    - 0.9
+    - 0.95
+    eps: 1.0e-05
+  lr_scheduler:
+    _target_: torch.optim.lr_scheduler.LambdaLR
+    _partial_: true
+    lr_lambda:
+      _target_: fish_speech.scheduler.get_constant_schedule_with_warmup_lr_lambda
+      _partial_: true
+      num_warmup_steps: 50

bolero_v1/.hydra/hydra.yaml

@@ -0,0 +1,157 @@
+hydra:
+  run:
+    dir: ${paths.run_dir}
+  sweep:
+    dir: multirun/${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:
+    - project=mix_v2
+    - +lora@model.model.lora_config=r_8_alpha_16
+  job:
+    name: train
+    chdir: null
+    override_dirname: +lora@model.model.lora_config=r_8_alpha_16,project=mix_v2
+    id: ???
+    num: ???
+    config_name: text2semantic_finetune
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/f/repo_fish-speech
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/f/repo_fish-speech/fish_speech/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/f/repo_fish-speech/results/mix_v2
+    choices:
+      lora@model.model.lora_config: r_8_alpha_16
+      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

bolero_v1/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- project=mix_v2
+- +lora@model.model.lora_config=r_8_alpha_16

bolero_v1/checkpoints/step_000089000.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc1d625486a34dbb7dedbf0f089933a8e220250ab2166100713b1002cfd7d644
+size 30477245

bolero_v1/checkpoints/step_000090000.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5cba730e13f54bfff15393912b8d93fa901b69b0bc400e53e5862bcd0618be16
+size 30477245

bolero_v1/checkpoints/step_000091000.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:095b4c91fad4f24d8d2125931c3e3866a2f6da8d43c1d688fc7a1cdab3cd729f
+size 30477245

bolero_v1/tensorboard/version_0/events.out.tfevents.1720516849.DESKTOP-E8VFO84.25210.0

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ac19bc604658768ed39be9c256ccb3d0f6034d9d50598bd42eb4d878e68276d5
+size 808923

bolero_v1/tensorboard/version_0/hparams.yaml

@@ -0,0 +1,107 @@
+model:
+  _target_: fish_speech.models.text2semantic.lit_module.TextToSemantic
+  model:
+    _target_: fish_speech.models.text2semantic.llama.BaseTransformer.from_pretrained
+    path: checkpoints/fish-speech-1.2
+    load_weights: true
+    max_length: 1024
+    lora_config:
+      _target_: fish_speech.models.text2semantic.lora.LoraConfig
+      r: 8
+      lora_alpha: 16
+      lora_dropout: 0.01
+  optimizer:
+    _target_: torch.optim.AdamW
+    _partial_: true
+    lr: 0.0001
+    weight_decay: 0.01
+    betas:
+    - 0.9
+    - 0.95
+    eps: 1.0e-05
+  lr_scheduler:
+    _target_: torch.optim.lr_scheduler.LambdaLR
+    _partial_: true
+    lr_lambda:
+      _target_: fish_speech.scheduler.get_constant_schedule_with_warmup_lr_lambda
+      _partial_: true
+      num_warmup_steps: 50
+model/params/total: 495286272
+model/params/trainable: 5017600
+model/params/non_trainable: 490268672
+data:
+  _target_: fish_speech.datasets.semantic.SemanticDataModule
+  train_dataset:
+    _target_: fish_speech.datasets.semantic.AutoTextSemanticInstructionDataset
+    proto_files:
+    - data/protos
+    tokenizer:
+      _target_: transformers.AutoTokenizer.from_pretrained
+      pretrained_model_name_or_path: checkpoints/fish-speech-1.2
+    causal: true
+    max_length: 1024
+    use_speaker: false
+    interactive_prob: 0.7
+  val_dataset:
+    _target_: fish_speech.datasets.semantic.AutoTextSemanticInstructionDataset
+    proto_files:
+    - data/protos
+    tokenizer:
+      _target_: transformers.AutoTokenizer.from_pretrained
+      pretrained_model_name_or_path: checkpoints/fish-speech-1.2
+    causal: true
+    max_length: 1024
+    use_speaker: false
+    interactive_prob: 0.7
+  num_workers: 4
+  batch_size: 4
+  tokenizer:
+    _target_: transformers.AutoTokenizer.from_pretrained
+    pretrained_model_name_or_path: checkpoints/fish-speech-1.2
+  max_length: 1024
+trainer:
+  _target_: lightning.pytorch.trainer.Trainer
+  default_root_dir: results/mix_v2
+  accelerator: gpu
+  num_nodes: 1
+  devices: auto
+  strategy:
+    _target_: lightning.pytorch.strategies.DDPStrategy
+    process_group_backend: nccl
+  precision: bf16-true
+  check_val_every_n_epoch: null
+  val_check_interval: 1000
+  max_steps: 100000
+  benchmark: true
+  accumulate_grad_batches: 1
+  gradient_clip_val: 1.0
+  gradient_clip_algorithm: norm
+  limit_val_batches: 10
+callbacks:
+  model_checkpoint:
+    _target_: lightning.pytorch.callbacks.ModelCheckpoint
+    dirpath: results/mix_v2/checkpoints
+    filename: step_{step:09d}
+    save_last: false
+    save_top_k: 5
+    monitor: step
+    mode: max
+    every_n_epochs: null
+    every_n_train_steps: 1000
+    auto_insert_metric_name: false
+  model_summary:
+    _target_: lightning.pytorch.callbacks.ModelSummary
+    max_depth: 2
+  learning_rate_monitor:
+    _target_: lightning.pytorch.callbacks.LearningRateMonitor
+    logging_interval: step
+    log_momentum: false
+  grad_norm_monitor:
+    _target_: fish_speech.callbacks.GradNormMonitor
+    norm_type: 2
+    logging_interval: step
+extras: null
+task_name: null
+tags: null
+ckpt_path: null
+seed: null

bolero_v1/train.log

@@ -0,0 +1,105 @@
+[2024-07-09 15:38:01,843][__main__][INFO] - [rank: 0] Instantiating datamodule <fish_speech.datasets.semantic.SemanticDataModule>
+[2024-07-09 15:38:02,439][datasets][INFO] - PyTorch version 2.3.1 available.
+[2024-07-09 15:38:02,753][__main__][INFO] - [rank: 0] Instantiating model <fish_speech.models.text2semantic.lit_module.TextToSemantic>
+[2024-07-09 15:38:02,781][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Override max_seq_len to 1024
+[2024-07-09 15:38:02,813][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loading model from checkpoints/mix_v1, config: DualARModelArgs(model_type='dual_ar', vocab_size=32000, n_layer=24, n_head=16, dim=1024, intermediate_size=4096, n_local_heads=2, head_dim=64, rope_base=1000000.0, norm_eps=1e-06, max_seq_len=1024, dropout=0.1, tie_word_embeddings=False, attention_qkv_bias=False, codebook_size=1024, num_codebooks=4, use_gradient_checkpointing=True, initializer_range=0.02, n_fast_layer=4)
+[2024-07-09 15:38:08,926][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] LoRA setup: LoraConfig(r=8, lora_alpha=16, lora_dropout=0.01)
+[2024-07-09 15:38:08,990][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loaded weights with error: _IncompatibleKeys(missing_keys=['embeddings.lora_A', 'embeddings.lora_B', 'codebook_embeddings.lora_A', 'codebook_embeddings.lora_B', 'layers.0.attention.wqkv.lora_A', 'layers.0.attention.wqkv.lora_B', 'layers.0.attention.wo.lora_A', 'layers.0.attention.wo.lora_B', 'layers.0.feed_forward.w1.lora_A', 'layers.0.feed_forward.w1.lora_B', 'layers.0.feed_forward.w3.lora_A', 'layers.0.feed_forward.w3.lora_B', 'layers.0.feed_forward.w2.lora_A', 'layers.0.feed_forward.w2.lora_B', 'layers.1.attention.wqkv.lora_A', 'layers.1.attention.wqkv.lora_B', 'layers.1.attention.wo.lora_A', 'layers.1.attention.wo.lora_B', 'layers.1.feed_forward.w1.lora_A', 'layers.1.feed_forward.w1.lora_B', 'layers.1.feed_forward.w3.lora_A', 'layers.1.feed_forward.w3.lora_B', 'layers.1.feed_forward.w2.lora_A', 'layers.1.feed_forward.w2.lora_B', 'layers.2.attention.wqkv.lora_A', 'layers.2.attention.wqkv.lora_B', 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'fast_layers.3.attention.wqkv.lora_B', 'fast_layers.3.attention.wo.lora_A', 'fast_layers.3.attention.wo.lora_B', 'fast_layers.3.feed_forward.w1.lora_A', 'fast_layers.3.feed_forward.w1.lora_B', 'fast_layers.3.feed_forward.w3.lora_A', 'fast_layers.3.feed_forward.w3.lora_B', 'fast_layers.3.feed_forward.w2.lora_A', 'fast_layers.3.feed_forward.w2.lora_B', 'fast_output.lora_A', 'fast_output.lora_B'], unexpected_keys=[])
+[2024-07-09 15:38:08,994][__main__][INFO] - [rank: 0] Instantiating callbacks...
+[2024-07-09 15:38:08,994][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelCheckpoint>
+[2024-07-09 15:38:08,997][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelSummary>
+[2024-07-09 15:38:08,997][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.LearningRateMonitor>
+[2024-07-09 15:38:08,997][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <fish_speech.callbacks.GradNormMonitor>
+[2024-07-09 15:38:09,006][__main__][INFO] - [rank: 0] Instantiating loggers...
+[2024-07-09 15:38:09,006][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating logger <lightning.pytorch.loggers.tensorboard.TensorBoardLogger>
+[2024-07-09 15:38:09,018][__main__][INFO] - [rank: 0] Instantiating trainer <lightning.pytorch.trainer.Trainer>
+[2024-07-09 15:38:09,064][__main__][INFO] - [rank: 0] Logging hyperparameters!
+[2024-07-09 15:38:09,135][__main__][INFO] - [rank: 0] Starting training!
+[2024-07-09 15:38:37,548][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.005 for 432 parameters
+[2024-07-09 15:38:37,548][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.0 for 61 parameters
+[2024-07-09 15:38:37,885][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:38:37,885][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:38:37,885][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:38:37,885][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:38:37,978][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
+[2024-07-09 15:38:37,980][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 15:38:38,053][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 15:38:38,069][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
+[2024-07-09 15:38:39,388][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:38:39,388][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:38:39,388][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:38:39,389][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:38:39,477][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 15:38:39,482][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
+[2024-07-09 15:38:39,555][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 15:38:39,557][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
+[2024-07-09 15:43:03,202][__main__][INFO] - [rank: 0] Instantiating datamodule <fish_speech.datasets.semantic.SemanticDataModule>
+[2024-07-09 15:43:03,439][datasets][INFO] - PyTorch version 2.3.1 available.
+[2024-07-09 15:43:03,659][__main__][INFO] - [rank: 0] Instantiating model <fish_speech.models.text2semantic.lit_module.TextToSemantic>
+[2024-07-09 15:43:03,688][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Override max_seq_len to 1024
+[2024-07-09 15:43:03,723][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loading model from checkpoints/mix_v1, config: DualARModelArgs(model_type='dual_ar', vocab_size=32000, n_layer=24, n_head=16, dim=1024, intermediate_size=4096, n_local_heads=2, head_dim=64, rope_base=1000000.0, norm_eps=1e-06, max_seq_len=1024, dropout=0.1, tie_word_embeddings=False, attention_qkv_bias=False, codebook_size=1024, num_codebooks=4, use_gradient_checkpointing=True, initializer_range=0.02, n_fast_layer=4)
+[2024-07-09 15:43:09,799][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] LoRA setup: LoraConfig(r=8, lora_alpha=16, lora_dropout=0.01)
+[2024-07-09 15:43:09,830][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loaded weights with error: _IncompatibleKeys(missing_keys=['embeddings.lora_A', 'embeddings.lora_B', 'codebook_embeddings.lora_A', 'codebook_embeddings.lora_B', 'layers.0.attention.wqkv.lora_A', 'layers.0.attention.wqkv.lora_B', 'layers.0.attention.wo.lora_A', 'layers.0.attention.wo.lora_B', 'layers.0.feed_forward.w1.lora_A', 'layers.0.feed_forward.w1.lora_B', 'layers.0.feed_forward.w3.lora_A', 'layers.0.feed_forward.w3.lora_B', 'layers.0.feed_forward.w2.lora_A', 'layers.0.feed_forward.w2.lora_B', 'layers.1.attention.wqkv.lora_A', 'layers.1.attention.wqkv.lora_B', 'layers.1.attention.wo.lora_A', 'layers.1.attention.wo.lora_B', 'layers.1.feed_forward.w1.lora_A', 'layers.1.feed_forward.w1.lora_B', 'layers.1.feed_forward.w3.lora_A', 'layers.1.feed_forward.w3.lora_B', 'layers.1.feed_forward.w2.lora_A', 'layers.1.feed_forward.w2.lora_B', 'layers.2.attention.wqkv.lora_A', 'layers.2.attention.wqkv.lora_B', 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'fast_layers.3.attention.wqkv.lora_B', 'fast_layers.3.attention.wo.lora_A', 'fast_layers.3.attention.wo.lora_B', 'fast_layers.3.feed_forward.w1.lora_A', 'fast_layers.3.feed_forward.w1.lora_B', 'fast_layers.3.feed_forward.w3.lora_A', 'fast_layers.3.feed_forward.w3.lora_B', 'fast_layers.3.feed_forward.w2.lora_A', 'fast_layers.3.feed_forward.w2.lora_B', 'fast_output.lora_A', 'fast_output.lora_B'], unexpected_keys=[])
+[2024-07-09 15:43:09,834][__main__][INFO] - [rank: 0] Instantiating callbacks...
+[2024-07-09 15:43:09,834][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelCheckpoint>
+[2024-07-09 15:43:09,837][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelSummary>
+[2024-07-09 15:43:09,837][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.LearningRateMonitor>
+[2024-07-09 15:43:09,838][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <fish_speech.callbacks.GradNormMonitor>
+[2024-07-09 15:43:09,846][__main__][INFO] - [rank: 0] Instantiating loggers...
+[2024-07-09 15:43:09,846][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating logger <lightning.pytorch.loggers.tensorboard.TensorBoardLogger>
+[2024-07-09 15:43:09,851][__main__][INFO] - [rank: 0] Instantiating trainer <lightning.pytorch.trainer.Trainer>
+[2024-07-09 15:43:09,895][__main__][INFO] - [rank: 0] Logging hyperparameters!
+[2024-07-09 15:43:09,926][__main__][INFO] - [rank: 0] Starting training!
+[2024-07-09 15:43:24,580][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.005 for 432 parameters
+[2024-07-09 15:43:24,581][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.0 for 61 parameters
+[2024-07-09 15:43:24,890][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:43:24,890][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:43:24,890][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:43:24,890][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:43:24,986][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
+[2024-07-09 15:43:25,009][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 15:43:25,048][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 15:43:25,063][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
+[2024-07-09 15:43:25,922][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:43:25,937][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:43:25,937][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
+[2024-07-09 15:43:25,937][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 3 files
+[2024-07-09 15:43:26,020][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 15:43:26,024][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
+[2024-07-09 15:43:26,073][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 15:43:26,098][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
+[2024-07-09 16:20:42,530][__main__][INFO] - [rank: 0] Instantiating datamodule <fish_speech.datasets.semantic.SemanticDataModule>
+[2024-07-09 16:20:43,123][datasets][INFO] - PyTorch version 2.3.1 available.
+[2024-07-09 16:20:43,419][__main__][INFO] - [rank: 0] Instantiating model <fish_speech.models.text2semantic.lit_module.TextToSemantic>
+[2024-07-09 16:20:43,452][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Override max_seq_len to 1024
+[2024-07-09 16:20:43,483][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loading model from checkpoints/fish-speech-1.2, config: DualARModelArgs(model_type='dual_ar', vocab_size=32000, n_layer=24, n_head=16, dim=1024, intermediate_size=4096, n_local_heads=2, head_dim=64, rope_base=1000000.0, norm_eps=1e-06, max_seq_len=1024, dropout=0.1, tie_word_embeddings=False, attention_qkv_bias=False, codebook_size=1024, num_codebooks=4, use_gradient_checkpointing=True, initializer_range=0.02, n_fast_layer=4)
+[2024-07-09 16:20:49,542][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] LoRA setup: LoraConfig(r=8, lora_alpha=16, lora_dropout=0.01)
+[2024-07-09 16:20:49,572][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loaded weights with error: _IncompatibleKeys(missing_keys=['embeddings.lora_A', 'embeddings.lora_B', 'codebook_embeddings.lora_A', 'codebook_embeddings.lora_B', 'layers.0.attention.wqkv.lora_A', 'layers.0.attention.wqkv.lora_B', 'layers.0.attention.wo.lora_A', 'layers.0.attention.wo.lora_B', 'layers.0.feed_forward.w1.lora_A', 'layers.0.feed_forward.w1.lora_B', 'layers.0.feed_forward.w3.lora_A', 'layers.0.feed_forward.w3.lora_B', 'layers.0.feed_forward.w2.lora_A', 'layers.0.feed_forward.w2.lora_B', 'layers.1.attention.wqkv.lora_A', 'layers.1.attention.wqkv.lora_B', 'layers.1.attention.wo.lora_A', 'layers.1.attention.wo.lora_B', 'layers.1.feed_forward.w1.lora_A', 'layers.1.feed_forward.w1.lora_B', 'layers.1.feed_forward.w3.lora_A', 'layers.1.feed_forward.w3.lora_B', 'layers.1.feed_forward.w2.lora_A', 'layers.1.feed_forward.w2.lora_B', 'layers.2.attention.wqkv.lora_A', 'layers.2.attention.wqkv.lora_B', 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'fast_layers.0.feed_forward.w3.lora_A', 'fast_layers.0.feed_forward.w3.lora_B', 'fast_layers.0.feed_forward.w2.lora_A', 'fast_layers.0.feed_forward.w2.lora_B', 'fast_layers.1.attention.wqkv.lora_A', 'fast_layers.1.attention.wqkv.lora_B', 'fast_layers.1.attention.wo.lora_A', 'fast_layers.1.attention.wo.lora_B', 'fast_layers.1.feed_forward.w1.lora_A', 'fast_layers.1.feed_forward.w1.lora_B', 'fast_layers.1.feed_forward.w3.lora_A', 'fast_layers.1.feed_forward.w3.lora_B', 'fast_layers.1.feed_forward.w2.lora_A', 'fast_layers.1.feed_forward.w2.lora_B', 'fast_layers.2.attention.wqkv.lora_A', 'fast_layers.2.attention.wqkv.lora_B', 'fast_layers.2.attention.wo.lora_A', 'fast_layers.2.attention.wo.lora_B', 'fast_layers.2.feed_forward.w1.lora_A', 'fast_layers.2.feed_forward.w1.lora_B', 'fast_layers.2.feed_forward.w3.lora_A', 'fast_layers.2.feed_forward.w3.lora_B', 'fast_layers.2.feed_forward.w2.lora_A', 'fast_layers.2.feed_forward.w2.lora_B', 'fast_layers.3.attention.wqkv.lora_A', 'fast_layers.3.attention.wqkv.lora_B', 'fast_layers.3.attention.wo.lora_A', 'fast_layers.3.attention.wo.lora_B', 'fast_layers.3.feed_forward.w1.lora_A', 'fast_layers.3.feed_forward.w1.lora_B', 'fast_layers.3.feed_forward.w3.lora_A', 'fast_layers.3.feed_forward.w3.lora_B', 'fast_layers.3.feed_forward.w2.lora_A', 'fast_layers.3.feed_forward.w2.lora_B', 'fast_output.lora_A', 'fast_output.lora_B'], unexpected_keys=[])
+[2024-07-09 16:20:49,581][__main__][INFO] - [rank: 0] Instantiating callbacks...
+[2024-07-09 16:20:49,582][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelCheckpoint>
+[2024-07-09 16:20:49,584][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelSummary>
+[2024-07-09 16:20:49,585][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.LearningRateMonitor>
+[2024-07-09 16:20:49,585][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <fish_speech.callbacks.GradNormMonitor>
+[2024-07-09 16:20:49,603][__main__][INFO] - [rank: 0] Instantiating loggers...
+[2024-07-09 16:20:49,603][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating logger <lightning.pytorch.loggers.tensorboard.TensorBoardLogger>
+[2024-07-09 16:20:49,610][__main__][INFO] - [rank: 0] Instantiating trainer <lightning.pytorch.trainer.Trainer>
+[2024-07-09 16:20:49,655][__main__][INFO] - [rank: 0] Logging hyperparameters!
+[2024-07-09 16:20:49,720][__main__][INFO] - [rank: 0] Starting training!
+[2024-07-09 16:21:04,418][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.01 for 432 parameters
+[2024-07-09 16:21:04,418][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.0 for 61 parameters
+[2024-07-09 16:21:04,720][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 3 files
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+[2024-07-09 16:21:04,843][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 16:21:04,883][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 16:21:04,891][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
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+[2024-07-09 16:21:06,037][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 1 groups of data
+[2024-07-09 16:21:06,040][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
+[2024-07-09 16:21:06,105][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 5 groups of data
+[2024-07-09 16:21:06,110][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data