README.md

metadata

title: Transformer
emoji: 🌍
colorFrom: pink
colorTo: green
sdk: docker
pinned: false
license: mit

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

To force a specific transformer model in Spaces, set the MODEL_NAME environment variable, for example:

fnlp/bart-base-chinese

Training and evaluation

For local fine-tuning and metric collection:

python train.py --train-path data/train.jsonl --valid-path data/valid.jsonl --output-dir outputs/bart_cn
python evaluate.py --test-path data/test.jsonl --model-name outputs/bart_cn --output-csv metrics_report.csv

The evaluation script prints and exports:

• ROUGE-L
• BERTScore
• QAFactEval when an external QAFactEval environment is available
• length hit rate
• average latency