Abstractive Summarization on XLSum (en)
13ROUGEMistral-7B-Instruct
Evaluation Results
| Method | Links | |
|---|---|---|
| Mistral-7B-InstructTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 2 (P2) Dataset=MULTI, Evaluation Phase=P12024.10 | 13 | |
| Mistral-7BTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 1 (P1) Dataset=ALPACA, Evaluation Phase=P22024.10 | 11 | |
| Llama-3-8B-InstructTraining Strategy=Two-phase Continual Fine-tuning (CFT), Evaluation Phase=P12024.10 | 11 | |
| Mistral-7BTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 1 (P1) Dataset=ALPACA, Evaluation Phase=P12024.10 | 10 | |
| Mistral-7B-InstructTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 2 (P2) Dataset=MULTI, Evaluation Phase=P22024.10 | 10 | |
| Llama-3-8B-InstructTraining Strategy=Two-phase Continual Fine-tuning (CFT), Evaluation Phase=P22024.10 | 9 | |
| Mistral-7BTraining Strategy=Dataset Mixture, Dataset Mixture=ALPACA MULTIALPACA2024.10 | 9 | |
| Llama-3-8BTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 1 (P1) Dataset=ALPACA, Phase 2 (P2) Dataset=ALPACA, Evaluation Phase=P22024.10 | 8 | |
| Llama-3-8BTraining Strategy=Two-phase Continual Fine-tuning (CFT), Phase 1 (P1) Dataset=ALPACA, Phase 2 (P2) Dataset=ALPACA, Evaluation Phase=P12024.10 | 7 | |
| Llama-3-8BTraining Strategy=Dataset Mixture, Dataset Mixture=ALPACA MULTIALPACA2024.10 | 4 |