| library_name: peft | |
| base_model: openai/whisper-large-v2 | |
| ## Training procedure | |
| ### WER: 'eval/wer': 18.944399677679293, 'eval/normalized_wer': 13.092652542720156 | |
| The following `bitsandbytes` quantization config was used during training: | |
| - load_in_8bit: True | |
| - load_in_4bit: False | |
| - llm_int8_threshold: 6.0 | |
| - llm_int8_skip_modules: None | |
| - llm_int8_enable_fp32_cpu_offload: False | |
| - llm_int8_has_fp16_weight: False | |
| - bnb_4bit_quant_type: fp4 | |
| - bnb_4bit_use_double_quant: False | |
| - bnb_4bit_compute_dtype: float32 | |
| ### Framework versions | |
| - PEFT 0.5.0.dev0 | |