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whisper-large-v2-bg-peft

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metadata
library_name: peft

_model: openai/whisper-large-v2

Training procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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

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

  • PEFT 0.5.0

  • PEFT 0.5.0

  • PEFT 0.5.0

  • PEFT 0.5.0

  • PEFT 0.5.0.dev0 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

  • PEFT 0.5.0.dev0 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

  • PEFT 0.5.0.dev0