Comments (1)
Nana2929
commented on May 21, 2024
All settings follow roughly the same with #11
INFO:__main__:Found 11 files to be concatenated ...
INFO:__main__:Sanity check passed!
INFO:__main__:Starting evaluation on t5_valid (290 examples)...
{'aspect_f1': 0.43296921544245337,
'opinion_f1': 0.33597185571246957,
'pair_ao_f1': 0.21236133117227704,
'pair_ta_f1': 0.24901497237099188,
'pair_to_f1': 0.19062499995193907,
'quad_micro_f1': 0.11290322575830809,
'target_f1': 0.5176470587762627}
from dialogue-absa.
Related Issues (15)
- 10. chatgpt raw replies generation
- 11. chatgpt replies post-processing
- 12. tableau gpt replies visualization
- 13. LLaMA family spike
- 14. compile challenging absa datasets and add readme for source credit HOT 2
- [survey] prompt
- [survey] DiaASQ HOT 1
- [data prep] DiaASQ HOT 1
- [test] DiaASQ dataset
- [exp] t5 + diaASQ [en] HOT 1
- [exp] DiaASQ T5 compute_metrics in Trainer
- [paper] Personalized Showcases: Generating Multi-Modal Explanations for Recommendations (An Yan, et al. SIGIR-23)
- ⏰ [exp] DiaASQ HOT 1
- Full-Dialogue DiaASQ zh
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from dialogue-absa.