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Dependencies

python==3.8.16 torch==1.12.0+cu116 torch-geometric==2.3.0

IEMOCAP

Preparing datasets for training

python preprocess.py --data './data/iemocap/newdata.pkl' --dataset="iemocap"

Training networks

python train.py --wf -10 --wp -10 --data './data/iemocap/newdata.pkl' --from_begin --device=cuda --epochs=80 --batch_size=20 --n_speakers 2

Predictioning networks

python prediction.py --data=./data/iemocap/newdata.pkl --device=cuda --epochs=1 --batch_size=20 --n_speakers 2

Performance Comparision

-|Dataset|Weighted F1(w) | Acc :-:|:-:|:-: Original|IEMOCAP|70.22% | 70.12%

MELD

Preparing datasets for training

python preprocess_roberta.py --data './data/meld/newdata.pkl' --dataset="meld"

Training networks

python train.py --wf -10 --wp -10 --data './data/meld/newdata.pkl' --device=cuda --epoch 80 --from_begin --batch_size=20 --n_speakers 9

Predictioning networks

python prediction.py --data=./data/meld/newdata.pkl --device=cuda --epochs=1 --batch_size=20 --n_speakers 2

Performance Comparision

-|Dataset|Weighted F1(w) | Acc :-:|:-:|:-: Original|MELD|65.18% | 66.21%

Acknowledgments

The structure of our code is inspired by pytorch-DialogueGCN-mianzhang.

himallgg's People

Contributors

qianfegkui avatar

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