| # 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. | |