Buckets:
| # Full training run (HF Jobs / cloud GPU). | |
| # Usage: python src/train.py --config configs/full.yaml | |
| # When run via `hf jobs ... -v hf://datasets/cam-kai-ml/ML-Lip-Reader:/data`, | |
| # point data_roots at wherever the preprocessed ROI tree lives in the mount. | |
| data_roots: /data/lrs2,/data/lrs3 | |
| epochs: 40 | |
| batch_size: 64 | |
| num_workers: 4 | |
| lr: 3.0e-4 | |
| warmup_epochs: 2 | |
| out_dir: /checkpoints/kai | |
| log_every: 50 | |
Xet Storage Details
- Size:
- 397 Bytes
- Xet hash:
- 8033b06b0e631cc4d62346ef247050ad292dfa5eeb6b939ea4c14357ce5217bd
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