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emotionflow's Introduction

EmotionFlow

Source code for ICASSP2022 paper: EmotionFlow: Capture the Dialogue Level Emotion Transitions

Required Packages:

transformers=4.14.1

torch=1.8

vocab=0.0.5

numpy

tqdm

sklearn

pickle

pandas

Quick start:

download MELD dataset from https://github.com/declare-lab/MELD/ and save to ./MELD

Training

python train.py -tr -wp 0 -bsz 1 -acc_step 8 -lr 1e-4 -ptmlr 1e-5 -dpt 0.3 -bert_path roberta-[base, large] -epochs [20, 5]

Evaluation

python train.py -te -ft -bsz 1 -dpt 0.3 -bert_path roberta-[base, large]

Results

model weighted-F1 Checkpoint
EmotionFlow-roberta-base 65.05 roberta-base-meld.pkl
EmotionFlow-roberta-large 66.50 roberta-large-meld.pkl

Checkpoints are produced on a single V100 GPU.

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