File size: 1,052 Bytes
11d99d7 d829b8a 11d99d7 d829b8a 11d99d7 d829b8a 11d99d7 d829b8a 11d99d7 d829b8a 11d99d7 b75f648 11d99d7 d829b8a 11d99d7 b75f648 d829b8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # Environment
This document records the exact environment used for this project.
## Platform
- **Compute:** Google Colab Pro
- **GPU:** Tesla T4, 15.64 GB
- **CUDA version:** 12.1
- **Python version:** 3.12.13
- **OS:** Linux-6.6.113+-x86_64-with-glibc2.35
## Key Library Versions
(See `requirements.txt` for the full pinned list)
- torch: 2.4.0+cu121
- torchaudio: 2.4.0+cu121
- transformers: 4.44.2
## Storage
- Drive folder: `/content/drive/MyDrive/deepfake_audio/`
- `data/` — raw and preprocessed datasets
- `checkpoints/` — saved model weights
- `logs/` — local log files
## Experiment Tracking
- **Wandb project:** `deepfake-audio-detection`
- **Wandb entity:** `sara-jaffrani17-dlp`
## Reproducibility
- Random seed: `42`
- Sample rate: 16 kHz mono throughout
- Window length: 4 seconds with 50% overlap
- Padding for short clips: zero-pad to 4 seconds
## Phase 1 Verification
Phase 1 smoke test: 2026-04-28
All checks passed: GPU detected, Drive mounted, Wav2Vec 2.0 loaded, forward pass succeeded, wandb run logged.
|