Instructions to use arda-argmax/sortformer-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use arda-argmax/sortformer-finetuned with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
| seed: 42 | |
| force_exit_on_completion: true | |
| model: | |
| init_checkpoint: arda-argmax/diar_streaming_sortformer_6spk-init | |
| num_spks: 6 | |
| data: | |
| cuts_path: null | |
| dataset_hf_repo: null | |
| split: null | |
| cuts_filename: null | |
| preprocess: true | |
| audio_root: null | |
| session_len_sec: 120 | |
| sample_rate: 16000 | |
| batch_size: 1 | |
| num_workers: 4 | |
| shuffle: true | |
| prepared: | |
| enabled: true | |
| uri: gs://fastmss-synth/sortformer/fastmss_synth/v0.6_rttm_segment_opus96k | |
| local_dir: /tmp/fastmss_prepared_shar | |
| root_dir: null | |
| train_dir: null | |
| val_dir: null | |
| train_path: train | |
| val_path: val | |
| sync: true | |
| gcloud_bin: gcloud | |
| max_train_cuts: null | |
| max_val_cuts: null | |
| num_train_samples: 2996000 | |
| streaming: | |
| enabled: false | |
| repo: arda-argmax/simchoir-parquet | |
| subset: v0.1 | |
| label_source: legacy | |
| cache_materialization: stream | |
| download_dir: /tmp/sortformer_hf_parquet_chunks | |
| materialization_workers: 1 | |
| subset_prefix: null | |
| train_subsets: null | |
| val_subsets: null | |
| train_split: train | |
| val_split: val | |
| train_shuffle_buffer: 0 | |
| sampler_shuffle_buffer: 1000 | |
| num_train_samples: 800 | |
| train_cache_size: -1 | |
| cache_storage: disk | |
| cache_dir: /tmp/sortformer_streaming_cache | |
| val_cache_size: -1 | |
| val_replicate_across_ranks: false | |
| bucketing: | |
| enabled: false | |
| max_duration_sec: null | |
| num_buckets: 10 | |
| buffer_size: 256 | |
| quadratic_duration: 30.0 | |
| duration_bins: [] | |
| bin_estimate_samples: 10000 | |
| optim: | |
| learning_rate: 5.0e-05 | |
| weight_decay: 0.0 | |
| warmup_steps: 50 | |
| min_lr: 1.0e-06 | |
| trainer: | |
| accelerator: gpu | |
| devices: auto | |
| precision: bf16-mixed | |
| fallback: false | |
| num_steps: 9000 | |
| num_epochs: -1 | |
| val_check_interval: 0.1 | |
| check_val_every_n_epoch: 1 | |
| log_every_n_steps: 1 | |
| limit_val_batches: 1.0 | |
| num_sanity_val_steps: 0 | |
| accumulate_grad_batches: 8 | |
| strategy: auto | |
| limit_train_batches: 7200 | |
| regularization: | |
| disable_all_dropout: false | |
| causal_attn_rate: null | |
| scores_add_rnd: null | |
| output: | |
| final_checkpoint_save_path: /app/training_runs/1780479980/final.nemo | |
| log_dir: /app/training_runs/1780479980/logs | |
| run_name: 6spk-v0.6-fastmss-prepared-shar-bs1-acc8-l4-worldfix-v1-1780479980 | |
| tracking: | |
| enabled: true | |
| project: sortformer-robustness | |
| run_name: 6spk-v0.6-fastmss-prepared-shar-bs1-acc8-l4-worldfix-v1-1780479980 | |
| group: null | |
| space_id: null | |
| auto_log_gpu: true | |
| gpu_log_interval: 10.0 | |
| console_log: | |
| enabled: false | |
| max_chars: 200000 | |
| every_n_train_steps: 0 | |
| val_der: | |
| enabled: true | |
| collar: 0.0 | |
| skip_overlap: false | |
| threshold: 0.5 | |
| max_samples: null | |
| checkpointing: | |
| enabled: true | |
| repo: arda-argmax/sortformer-finetuned | |
| run_subdir: 6spk-v0.6-fastmss-prepared-shar-bs1-acc8-l4-worldfix-v1-1780479980 | |
| monitor: val_der | |
| mode: min | |
| private: true | |
| local_dir: null | |
| flush_timeout_sec: 1800 | |