| includes: projects/task/default.yaml |
| task_type: sweep_big |
| slurm_config: big |
| dataset: |
| meta_processor: ShardedHow2MetaProcessor |
| train_path: data/how2/how2_s3d_train.lst |
| val_path: data/how2/how2_s3d_val.lst |
| video_processor: ShardedVideoProcessor |
| vfeat_dir: data/feat/feat_how2_s3d_shard_small |
| text_processor: ShardedTextProcessor |
| tfeat_dir: data/feat/feat_how2_s3d_shard_small/raw_caption_dedup.bert-base-uncased. |
| aligner: FixedLenAligner |
| |
| eval: |
| save_path: runs/task |
| fairseq: |
| checkpoint: |
| save_dir: runs/task |
| save_interval_updates: 1024 |
| keep_interval_updates: 2 |
| keep_last_epochs: 30 |
|
|
|
|
