Model Description
Typhoon-7b QLoRA Finetune by unsloth with Thai Alpaca dataset.
Training Hyperparameters
The following bitsandbytes
quantization config was used during training:
- r = 64
- lora_alpha = 16
- lora_dropout = 0.05
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- 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: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16
Loss
Step Training Loss
2500 1.241900
5000 1.123600
7500 1.014600
10000 0.902200
12500 0.906500
15000 0.683900
17500 0.650900
20000 0.584800
22500 0.385100
25000 0.384100
Framework versions
- PEFT 0.7.0
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Model tree for nakcnx/typhoon_thai_alpaca_qlora
Base model
scb10x/typhoon-7b