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config.yaml

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+data:
+  language: ne
+  sample_rate: 16000
+  hf_dataset_id: Firoj112/voxcpm-nepali-data
+  train_manifest: finetuning_data/manifests/train_manifest.jsonl
+  val_manifest: finetuning_data/manifests/val_manifest.jsonl
+hardware:
+  gpu_count: 1
+  load_in_4bit: false
+  gradient_checkpointing: true
+  vram_gb_per_gpu: 24.0
+lora:
+  alpha: 96
+  bias: none
+  dropout: 0.05
+  enabled: true
+  rank: 96
+  target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+metadata:
+  config_type: lora
+  language: ne
+  model_version: '2'
+model:
+  name_or_path: openbmb/VoxCPM2
+  optimize: false
+  version: '2'
+training:
+  amp: bf16
+  bf16: true
+  dataloader_num_workers: 0
+  ddp_find_unused_parameters: false
+  epochs: 20
+  eval_steps: 500
+  fp16: false
+  gradient_accumulation_steps: 32
+  gradient_checkpointing: true
+  learning_rate: 0.00005
+  logging_steps: 50
+  max_grad_norm: 1.0
+  max_steps: 20000
+  output_dir: ./checkpoints/lora_nepali_v2
+  per_device_train_batch_size: 1
+  report_to:
+  - wandb
+  - tensorboard
+  save_steps: 500
+  warmup_steps: 500
+  lr_scheduler_type: cosine
+wandb:
+  log_model: checkpoint
+  project: Vox-CPM-Nepali-Fine-Tune
+  watch: gradients