WASSA2024 Track 1,2,3 LLM based on LLama3-8B-instrcut (Pure LoRA Training)

This model is for WASSA2024 Track 1,2,3. It is fine-tuned on LLama3-8B-instrcut using standard prediction, role-play, and contrastive supervised fine-tune template. The learning rate for this model is 2e-5.

For training and usage details, please refer to the paper:

Licence

This repository's models are open-sourced under the Apache-2.0 license, and their weight usage must adhere to LLama3 MODEL LICENCE license.

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Model size

8.03B params

Tensor type

BF16

Inference Examples

Text Generation

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Collection including RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP304

Chinchunmei on WASSA2024 Shared-Task 1

Collection

This is the model cards collection for Chinchunmei team in the WASSA2024 Shared-Task 1: Empathy Detection and Emotion Classification. • 5 items • Updated Jul 3 • 2