---
library_name: peft
base_model: openai/whisper-base
---
## 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
### Framework versions


- PEFT 0.5.0

### Training loss

Epoch | Training Loss | Validation Loss  
1  |  0.573400  |  0.595536  
2  |  0.476500  |  0.506768  
3  |  0.421000  |  0.472346