Sol / sol_meta.json
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Add fine-tuned Sol weights and tokenizer
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{
"name": "Sol",
"base_model": "C:\\Users\\donov\\Downloads\\Sol\\assets\\microsoft\\speecht5_tts",
"dataset": "openslr/librispeech_asr/clean/validation",
"speaker_id": 2277,
"num_samples": 87,
"max_steps": 80,
"sampling_rate": 16000,
"learning_rate": 2e-06,
"note": "light fine-tune; speaker embedding is a raw x-vector (norm ~320), do not unit-normalise"
}