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tensorboard/version_0/events.out.tfevents.1740009640.3859b00b003f.2855.0

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tensorboard/version_1/events.out.tfevents.1740009687.3859b00b003f.3072.0

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tensorboard/version_2/events.out.tfevents.1740009758.3859b00b003f.3274.0

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tensorboard/version_2/hparams.yaml

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+model:
+  name: openai/whisper-large-v3-turbo
+  gradient_checkpointing: false
+  use_lora: true
+  train_config:
+    lr: 0.001
+    scheduler_type: cosine
+    warm_steps: 500
+    max_steps: ${trainer.max_steps}
+    warmup_steps: 200
+model/params/total: 815431680
+model/params/trainable: 6553600
+model/params/non_trainable: 808878080
+data:
+  ksponspeech:
+    type: wds
+    audio_key: flac
+    text_key: tn_text
+    shuffle: true
+    pattern: hf://datasets/seastar105/ksponspeech-webdataset/train/*.tar
+    resampled: true
+  train_config:
+    datasets:
+      ksponspeech:
+        type: wds
+        audio_key: flac
+        text_key: text
+        shuffle: true
+        pattern: hf://datasets/seastar105/ksponspeech-webdataset/train/*.tar
+        resampled: true
+      address_speech:
+        type: wds
+        audio_key: wav
+        text_key: text
+        shuffle: true
+        pattern: hf://datasets/seastar105/aihub-71556-webdataset/Training/*.tar
+        resampled: true
+      kor_broadcast:
+        type: wds
+        audio_key: wav
+        text_key: text
+        shuffle: true
+        pattern: hf://datasets/seastar105/aihub-464-webdataset/TS*/*.tar
+        resampled: true
+      kor_lowq_call:
+        type: wds
+        audio_key: wav
+        text_key: text
+        shuffle: true
+        pattern: hf://datasets/seastar105/aihub-571-webdataset/data/*.tar
+        resampled: true
+    batch_size: 32
+    num_workers: 8
+    pin_memory: true
+    sampling_weights:
+    - 1.0
+    - 3.0
+    - 10.0
+    - 3.0
+    epoch_steps: 40000
+  val_config:
+    datasets:
+      ksponspeech:
+        type: wds_local
+        audio_key: flac
+        text_key: text
+        shuffle: false
+        pattern: ./data/eval/*.tar
+        resampled: false
+    batch_size: 8
+    num_workers: 1
+    pin_memory: false
+    sampling_weights: null
+  tokenizer_name: ${model.name}
+trainer:
+  _target_: lightning.pytorch.trainer.Trainer
+  default_root_dir: ${paths.output_dir}
+  min_epochs: 1
+  max_epochs: 10
+  accelerator: gpu
+  devices: 1
+  check_val_every_n_epoch: 1
+  deterministic: false
+  max_steps: 5000
+  precision: bf16-mixed
+  accumulate_grad_batches: 8
+  gradient_clip_val: 1.0
+  num_nodes: 1
+  val_check_interval: 8000
+callbacks:
+  model_checkpoint:
+    _target_: lightning.pytorch.callbacks.ModelCheckpoint
+    dirpath: ${paths.output_dir}/checkpoints
+    filename: steps_{step:06d}
+    monitor: step
+    verbose: false
+    save_last: true
+    save_top_k: 1
+    mode: max
+    auto_insert_metric_name: false
+    save_weights_only: false
+    every_n_train_steps: 2000
+    train_time_interval: null
+    every_n_epochs: null
+    save_on_train_epoch_end: null
+  model_summary:
+    _target_: lightning.pytorch.callbacks.RichModelSummary
+    max_depth: -1
+  rich_progress_bar:
+    _target_: lightning.pytorch.callbacks.RichProgressBar
+  learning_rate_monitor:
+    _target_: lightning.pytorch.callbacks.LearningRateMonitor
+    logging_interval: step
+extras:
+  ignore_warnings: false
+  enforce_tags: true
+  print_config: true
+task_name: whisper-base
+tags:
+- pflow
+ckpt_path: null
+seed: 998244353
+model_config:
+  name: openai/whisper-large-v3-turbo
+  gradient_checkpointing: false
+  use_lora: true
+  train_config:
+    lr: 0.001
+    scheduler_type: cosine
+    warm_steps: 500
+    max_steps: 5000
+    warmup_steps: 200