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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.

emotionflow's People

Contributors

fpcsong avatar

Stargazers

iaamlele avatar Rainylt avatar minimindy avatar AN Jinmyeong avatar zzzzd avatar avatar Elliot avatar Aleksey Tikhonov avatar kiki avatar aidenfaustine avatar Diki Hamdani avatar avatar avatar Kunat Pipatanakul avatar TheDetective avatar cin-hubert avatar cloudWL avatar Matthew Drago avatar Dennis Richardson avatar Xu Chen avatar avatar Minh-Son Cao avatar Proto avatar lightslife avatar Danrui Qi avatar

Watchers

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Forkers

feihuamantian mridulk97 xiaoheng-zhang99 ccnu-jreamy emotion-recognition-reproduce

emotionflow's Issues

HI~ I have a train.py question

I type this command

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]

it replys train.py: error: argument -epochs/--epochs: invalid int value: '[20,'

How to solve the question ?

Thanks .

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