# Reconstructed after the fact: the RunPod pod was deleted before anyone ran # `pip freeze`. Versions marked "known" below were read from the pod or from the # training logs; everything else is what pip would most likely have resolved on # the morning of run 1 (October 1, 2026). Regenerate with: # # uv pip compile requirements.in --python-version 3.12 \ # --python-platform x86_64-manylinux_2_28 \ # --exclude-newer 2026-10-01T06:00:00Z -o requirements-reconstructed.txt # # where requirements.in pins the known versions: # torch==2.8.0 (known: preinstalled in the RunPod image, +cu128 build) # transformers==5.18.0 (known: recorded in both runs' TensorBoard logs) # numpy==2.1.2 (known) # scipy==1.18.1 (known) # librosa==1.0.0 (known) # and lists the rest unpinned: accelerate, tensorboard, jiwer, pandas, pyarrow, # tqdm, typer, datacollective. # # Installed later, only to evaluate AigizK/wav2vec2-large-mms-1b-tatar with its # language model (known versions, not needed for training): # kenlm==0.3.0 # pyctcdecode==0.5.0 # absl-py==2.5.0 # via tensorboard accelerate==1.15.0 # via -r requirements.in annotated-doc==0.0.5 # via typer annotated-types==0.8.0 # via pydantic anyio==4.15.1 # via httpx certifi==2026.7.22 # via # httpcore # httpx # requests cffi==2.1.1 # via soundfile charset-normalizer==3.5.2 # via requests click==8.5.0 # via # huggingface-hub # jiwer cloudpickle==3.1.2 # via joblib datacollective==0.6.3 # via -r requirements.in decorator==5.3.1 # via librosa filelock==4.0.7 # via # huggingface-hub # torch fox-progress-bar==0.1.3 # via datacollective fsspec==2026.9.0 # via # huggingface-hub # torch grpcio==1.84.0 # via tensorboard h11==0.16.0 # via httpcore hf-xet==1.6.0 # via huggingface-hub httpcore==1.0.9 # via httpx httpx==0.28.1 # via huggingface-hub huggingface-hub==1.33.0 # via # accelerate # tokenizers # transformers idna==3.20 # via # anyio # httpx # requests jinja2==3.1.6 # via torch jiwer==4.0.0 # via -r requirements.in joblib==1.6.0 # via # librosa # scikit-learn lazy-loader==0.6 # via librosa librosa==1.0.0 # via -r requirements.in llvmlite==0.50.0 # via numba markdown==3.11 # via tensorboard markdown-it-py==4.2.0 # via rich markupsafe==3.0.3 # via # jinja2 # werkzeug mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy msgpack==1.2.3 # via librosa narwhals==2.26.0 # via scikit-learn networkx==3.7 # via torch numba==0.68.0 # via librosa numpy==2.1.2 # via # -r requirements.in # accelerate # librosa # numba # pandas # scikit-learn # scipy # soundfile # soxr # tensorboard # transformers nvidia-cublas-cu12==12.8.4.1 # via # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch nvidia-cuda-cupti-cu12==12.8.90 # via torch nvidia-cuda-nvrtc-cu12==12.8.93 # via torch nvidia-cuda-runtime-cu12==12.8.90 # via torch nvidia-cudnn-cu12==9.10.2.21 # via torch nvidia-cufft-cu12==11.3.3.83 # via torch nvidia-cufile-cu12==1.13.1.3 # via torch nvidia-curand-cu12==10.3.9.90 # via torch nvidia-cusolver-cu12==11.7.3.90 # via torch nvidia-cusparse-cu12==12.5.8.93 # via # nvidia-cusolver-cu12 # torch nvidia-cusparselt-cu12==0.7.1 # via torch nvidia-nccl-cu12==2.27.3 # via torch nvidia-nvjitlink-cu12==12.8.93 # via # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch nvidia-nvtx-cu12==12.8.90 # via torch packaging==26.3 # via # accelerate # huggingface-hub # lazy-loader # pooch # tensorboard # transformers pandas==3.0.6 # via # -r requirements.in # datacollective pillow==12.3.0 # via tensorboard platformdirs==4.12.2 # via pooch pooch==1.9.0 # via librosa protobuf==7.36.2 # via tensorboard psutil==7.2.2 # via accelerate pyarrow==25.0.1 # via -r requirements.in pycparser==3.0 # via cffi pydantic==2.13.5 # via datacollective pydantic-core==2.46.5 # via pydantic pygments==2.21.0 # via rich python-dateutil==2.9.0.post0 # via pandas python-dotenv==1.2.4 # via datacollective pyyaml==6.0.3 # via # accelerate # datacollective # huggingface-hub # transformers rapidfuzz==3.14.6 # via jiwer regex==2026.9.29 # via transformers requests==2.34.2 # via # datacollective # pooch rich==15.0.0 # via typer safetensors==0.8.0 # via # accelerate # transformers scikit-learn==1.9.1 # via librosa scipy==1.18.1 # via # -r requirements.in # librosa # scikit-learn setuptools==84.0.0 # via # tensorboard # torch # triton shellingham==1.5.4 # via typer six==1.17.0 # via python-dateutil soundfile==0.14.0 # via librosa soxr==1.1.0 # via librosa sympy==1.14.0 # via torch tensorboard==2.21.0 # via -r requirements.in tensorboard-data-server==0.7.2 # via tensorboard threadpoolctl==3.7.0 # via scikit-learn tokenizers==0.23.2 # via transformers torch==2.8.0 # via # -r requirements.in # accelerate tqdm==4.70.1 # via # -r requirements.in # huggingface-hub # transformers transformers==5.18.0 # via -r requirements.in triton==3.4.0 # via torch typer==0.27.2 # via # -r requirements.in # transformers typing-extensions==4.16.0 # via # anyio # grpcio # huggingface-hub # pydantic # pydantic-core # soundfile # torch # typing-inspection typing-inspection==0.4.4 # via pydantic urllib3==2.8.0 # via requests werkzeug==3.1.9 # via tensorboard