Re-upload v3s weight and config

v3s architecture with Conv1d projection with 16 output projections and GELU actibation

scorer_v3s_16_final/configs/vad_train_config.yaml

@@ -0,0 +1,44 @@
+batch_size: 128
+epochs: 20
+learning_rate: 0.00001
+weight_decay: 0.01
+
+is_half: false
+num_workers: 8
+pin_memory: true
+
+mel_encoder_path: /mnt/ML/models/GPT-SoVITS/vad_specific/ref_enc.pth
+mel_encoder_sr: 32000
+filter_length: 2048
+gin_channels: 1024
+hop_length: 640
+projection_weights_path: /mnt/ML/models/GPT-SoVITS/vad_specific/linear_proj.pth
+prelu_weights_path : /mnt/ML/models/GPT-SoVITS/vad_specific/prelu.pth
+sv_model_path: /mnt/ML/models/GPT-SoVITS/sv/pretrained_eres2netv2w24s4ep4.ckpt
+sv_model_sr: 16000
+use_sv: true
+win_length: 2048
+
+shuffle: true
+data_dir: /mnt/ML/Datasets/laions_got_talent_enhanced_flash_annotations_and_long_captions/extracted_audio/
+annotations_file: vad_descriptions_resampled_normalized_v3.csv
+test_size: 10000
+limit_train_samples: -1
+min_samples_threshold: -1
+random_state: 42
+
+save_dir: /mnt/ML/models/GPT-SoVITS/vad_specific/vad_scoring_model/scorer/
+save_interval_epoch: 1
+logging_interval: 100
+save_interval_steps: -1
+
+model_version: v3s
+model_id: mkrausio/EmoWhisper-AnS-Small-v0.1
+out_channels: 16
+
+kl_cycle_length: 1
+kl_max_weight: 1
+kl_min_weight: 1
+mean_loss_weight: 1.0
+
+loss_type: kl

scorer_v3s_16_final/vad_model_epoch_10_step_62960.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c35a33c5f7979d94f9b36fb71d5ddae7bdd09c81778a0bb0c710b78a8641b0e9
+size 98373932