metadata
library_name: peft
datasets:
- HachiML/databricks-dolly-15k-ja-for-peft
JGLUE Score
We evaluated our model using the following JGLUE tasks. Here are the scores:
| Task | Score |
|---|---|
| JSQUAD(exact_match) | 62.83 |
| JCOMMONSENSEQA(acc) | 75.78 |
| JNLI(acc) | 50.69 |
| MARC_JA(acc) | 79.64 |
| Average | 67.23 |
- Note: Use v0.3 prompt template
- The JGLUE scores were measured using the following script: Stability-AI/lm-evaluation-harness
Training procedure
The following bitsandbytes quantization config was used during training:
- 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
Framework versions
- PEFT 0.4.0