activation_disabled: false batch_size: 32 classes: - speaker#1 - speaker#2 - speaker#3 date: inference_end: '2024-02-02 14:22:10' inference_start: '2024-02-02 14:20:57' experiment_name: pretrained_checkpoint_@AMI.SpeakerDiarization.Benchmark.test@ami file_format: parquet format_version: 4 last_inference_shape: - 1765 - 293 - 7 model: duration: 5.0 fps: 58.6 frames: duration: 0.017064846416382253 step: 0.017064846416382253 num_frames: 293 specifications: classes: - speaker#1 - speaker#2 - speaker#3 duration: 5.0 min_duration: 5.0 num_powerset_classes: 7 permutation_invariant: true powerset: true powerset_max_classes: 2 problem: MONO_LABEL_CLASSIFICATION resolution: FRAME warm_up: - 0.0 - 0.0 model_path: null protocol: AMI.SpeakerDiarization.Benchmark protocol_files: - AMI IS1009a - AMI IS1009b - AMI IS1009c - AMI IS1009d - AMI ES2004a - AMI ES2004b - AMI ES2004c - AMI ES2004d - AMI TS3003a - AMI TS3003b - AMI TS3003c - AMI TS3003d - AMI EN2002a - AMI EN2002b - AMI EN2002c - AMI EN2002d step_duration: 1.25 subset: test