Performance Gain from English Intermediate-Task Training and Morphological Complexity in XTREME
Description
Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task---often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate whether English intermediate-task training is still helpful on non-English target tasks. Using nine intermediate language-understanding tasks, we evaluate intermediate-task transfer in a zero-shot cross-lingual setting on the XTREME benchmark. We see large improvements from intermediate training on the BUCC and Tatoeba sentence retrieval tas
Research goal: Does the performance gain from English intermediate-task training on XTREME correlate with the morphological complexity of the target language?
Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.5/10.
Notes
Files
paper.pdf
Files
(77.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:d8d85b84cd271c881bf9599965cf4fb2
|
77.7 kB | Preview Download |