Upload parakeet-tdt-cv_synth_all_et-seed42

.gitattributes

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parakeet-tdt-cv_synth_all_et-seed42/wandb/run-20260218_092800-52kll8xd/files/output.log

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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+[NeMo I 2026-02-18 09:28:01 nemo_logging:393] Optimizer config = AdamW (
+    Parameter Group 0
+        amsgrad: False
+        betas: (0.9, 0.98)
+        capturable: False
+        decoupled_weight_decay: True
+        differentiable: False
+        eps: 1e-08
+        foreach: None
+        fused: None
+        lr: 5e-05
+        maximize: False
+        weight_decay: 0.001
+    )
+[NeMo I 2026-02-18 09:28:01 nemo_logging:393] Scheduler "<nemo.core.optim.lr_scheduler.CosineAnnealing object at 0x7b8b554e1410>"
+    will be used during training (effective maximum steps = 28200) -
+    Parameters :
+    (warmup_ratio: 0.1
+    min_lr: 1.0e-06
+    max_steps: 28200
+    )
+
+  | Name              | Type                              | Params | Mode
+--------------------------------------------------------------------------------
+0 | preprocessor      | AudioToMelSpectrogramPreprocessor | 0      | train
+1 | encoder           | ConformerEncoder                  | 608 M  | train
+2 | decoder           | RNNTDecoder                       | 11.8 M | train
+3 | joint             | RNNTJoint                         | 6.3 M  | train
+4 | loss              | RNNTLoss                          | 0      | train
+5 | spec_augmentation | SpectrogramAugmentation           | 0      | train
+6 | wer               | WER                               | 0      | train
+--------------------------------------------------------------------------------
+627 M     Trainable params
+0         Non-trainable params
+627 M     Total params
+2,508.033 Total estimated model params size (MB)
+706       Modules in train mode
+0         Modules in eval mode
+Sanity Checking: |                                                                                                                                                                     | 0/? [00:00<?, ?it/s][NeMo I 2026-02-18 09:28:01 nemo_logging:393] Enabled CUDA graphs for module <class 'nemo.collections.asr.models.rnnt_bpe_models.EncDecRNNTBPEModel'>.decoding.decoding
+[NeMo I 2026-02-18 09:28:01 nemo_logging:393] Enabled CUDA graphs for module <class 'nemo.collections.asr.metrics.wer.WER'>joint._wer.decoding.decoding
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/workspace/syntts_asr/src/training/train_parakeet.py", line 352, in <module>
+    main()
+  File "/workspace/syntts_asr/src/training/train_parakeet.py", line 324, in main
+    trainer.fit(model)
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 538, in fit
+    call._call_and_handle_interrupt(
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 47, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 574, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 981, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1023, in _run_stage
+    self._run_sanity_check()
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1052, in _run_sanity_check
+    val_loop.run()
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/utilities.py", line 178, in _decorator
+    return loop_run(self, *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 128, in run
+    batch, batch_idx, dataloader_idx = next(data_fetcher)
+                                       ^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/fetchers.py", line 133, in __next__
+    batch = super().__next__()
+            ^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/fetchers.py", line 60, in __next__
+    batch = next(self.iterator)
+            ^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/utilities/combined_loader.py", line 341, in __next__
+    out = next(self._iterator)
+          ^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/lightning/pytorch/utilities/combined_loader.py", line 142, in __next__
+    out = next(self.iterators[0])
+          ^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 741, in __next__
+    data = self._next_data()
+           ^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1548, in _next_data
+    return self._process_data(data, worker_id)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1586, in _process_data
+    data.reraise()
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/_utils.py", line 775, in reraise
+    raise exception
+AttributeError: Caught AttributeError in DataLoader worker process 0.
+Original Traceback (most recent call last):
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/_utils/worker.py", line 358, in _worker_loop
+    data = fetcher.fetch(index)  # type: ignore[possibly-undefined]
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 54, in fetch
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 54, in <listcomp>
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+            ~~~~~~~~~~~~^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/data/audio_to_text.py", line 490, in __getitem__
+    return self._process_sample(index)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/data/audio_to_text.py", line 499, in _process_sample
+    features = self.featurizer.process(
+               ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/parts/preprocessing/features.py", line 202, in process
+    audio = AudioSegment.from_file(
+            ^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/parts/preprocessing/segment.py", line 375, in from_file
+    return cls(
+           ^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/parts/preprocessing/segment.py", line 181, in __init__
+    samples = self._convert_samples_to_float32(samples)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/nemo/collections/asr/parts/preprocessing/segment.py", line 263, in _convert_samples_to_float32
+    if samples.dtype in np.sctypes['int']:
+                        ^^^^^^^^^^
+  File "/workspace/syntts_asr/.venv/lib/python3.11/site-packages/numpy/__init__.py", line 400, in __getattr__
+    raise AttributeError(
+AttributeError: `np.sctypes` was removed in the NumPy 2.0 release. Access dtypes explicitly instead.

parakeet-tdt-cv_synth_all_et-seed42/wandb/run-20260218_092800-52kll8xd/files/requirements.txt

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+RapidFuzz==3.14.3
+cffi==2.0.0
+joblib==1.5.3
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+Jinja2==3.1.6
+nvidia-cuda-runtime-cu12==12.8.90
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+soxr==1.0.0
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+nvidia-nvjitlink-cu12==12.8.93
+nvidia-curand-cu12==10.3.9.90
+nvidia-cuda-nvrtc-cu12==12.8.93
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+nvidia-cufft-cu12==11.3.3.83
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+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparselt-cu12==0.7.1
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parakeet-tdt-cv_synth_all_et-seed42/wandb/run-20260218_092800-52kll8xd/files/wandb-metadata.json

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+{
+  "os":  "Linux-6.11.0-1016-nvidia-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.14",
+  "startedAt":  "2026-02-18T09:28:00.567357Z",
+  "args":  [
+    "--language",
+    "et",
+    "--config",
+    "cv_synth_all_et",
+    "--output-dir",
+    "./results/parakeet_finetune_et/cv_synth_all_et_s42",
+    "--seed",
+    "42",
+    "--batch-size",
+    "32",
+    "--learning-rate",
+    "5e-5",
+    "--warmup-ratio",
+    "0.10",
+    "--max-epochs",
+    "100",
+    "--early-stopping-patience",
+    "10",
+    "--push-to-hub",
+    "--hub-repo-id",
+    "yuriyvnv/experiments_parakeet"
+  ],
+  "program":  "-m src.training.train_parakeet",
+  "git":  {
+    "remote":  "git@github.com:yuriyvnv/syntts_asr.git",
+    "commit":  "53354a6d2ed28e5b28696e3aca03ad4f75b11ded"
+  },
+  "email":  "yuriyvnv@gmail.com",
+  "root":  "results/parakeet_finetune_et/cv_synth_all_et_s42",
+  "host":  "255764a3d46c",
+  "executable":  "/workspace/syntts_asr/.venv/bin/python3",
+  "cpu_count":  26,
+  "cpu_count_logical":  52,
+  "gpu":  "NVIDIA H100 80GB HBM3",
+  "gpu_count":  1,
+  "disk":  {
+    "/":  {
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+      "used":  "19279175680"
+    }
+  },
+  "memory":  {
+    "total":  "475295248384"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA H100 80GB HBM3",
+      "memoryTotal":  "85520809984",
+      "cudaCores":  16896,
+      "architecture":  "Hopper",
+      "uuid":  "GPU-cee2e40e-28a5-bfec-511d-a5f0bc3cef1d"
+    }
+  ],
+  "cudaVersion":  "12.8",
+  "writerId":  "lxopcqx8hmke6wp9tdwaadfeqmt1gbvq"
+}

parakeet-tdt-cv_synth_all_et-seed42/wandb/run-20260218_092800-52kll8xd/files/wandb-summary.json

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