dehanns/whisper-small-sequential-cs-adapter

1{2  "strategy": "frozen_sinhala_plus_trainable_cs_residual",3  "checkpoint_kind": "best",4  "base_model": "openai/whisper-small",5  "required_sinhala_adapter": "dehanns/whisper-small-lora-sinhala-32",6  "required_sinhala_revision": "epoch-5",7  "expected_sinhala_rank": 32,8  "required_inference_adapters": [9    "si",10    "cs"11  ],12  "required_inference_weights": {13    "si": 1.0,14    "cs": 1.015  },16  "cs_initialization": "fresh",17  "cs_adapter": {18    "rank": 16,19    "lora_alpha": 32,20    "lora_dropout": 0.05,21    "target_modules": [22      "q_proj",23      "v_proj"24    ]25  },26  "note": "This CS residual is not intended for standalone use."27}