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---
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) | - |
| | |
|----------------|----------:|
| Average | *average_score* |
The JGLUE scores were measured using the following script:
[Stability-AI/lm-evaluation-harness](https://github.com/Stability-AI/lm-evaluation-harness/tree/jp-stable)
## 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 |