|
|
--- |
|
|
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 |
