Baseline results=0

[Aidenfaustine]

Hi, I have tried the bc_LSTM baseline with bimodal in emotion classification, but the F1-score and accuracy of 'fear' and 'disgust' are always zero, so I can't reproduce the result in paper.

The command I use:

python baseline.py -classify emotion -modality bimodal -train

The results:

      precision    recall  f1-score   support

   0     0.7322    0.7795    0.7551      1256
   1     0.4799    0.4662    0.4729       281
   2     0.0000    0.0000    0.0000        50
   3     0.2781    0.2019    0.2340       208
   4     0.4813    0.5448    0.5111       402
   5     0.0000    0.0000    0.0000        68
   6     0.3832    0.4377    0.4087       345

The emotion labels:

Emotion - {'neutral': 0, 'surprise': 1, 'fear': 2, 'sadness': 3, 'joy': 4, 'disgust': 5, 'anger': 6}.

I know the main strategy is to adjust the class weight. To be hnoest, I'm new to tensorflow. I don't know what codes are needed to add to achieve it. Could you please give me some suggestion?

Best wishes>

[Triaill]

Hi, I have tried the bc_LSTM baseline with bimodal in emotion classification, but the F1-score and accuracy of 'fear' and 'disgust' are always zero, so I can't reproduce the result in paper.你好，我在情感分类中尝试了双峰的 bc_LSTM 基线，但“恐惧”和“厌恶”的 F1 分数和准确度始终为零，因此我无法在论文中重现结果。

The command I use: 我使用的命令：

python baseline.py -classify emotion -modality bimodal -trainpython基线.py-分类情感-模态双峰-train

The results: 结果：

      precision    recall  f1-score   support

   0     0.7322    0.7795    0.7551      1256
   1     0.4799    0.4662    0.4729       281
   2     0.0000    0.0000    0.0000        50
   3     0.2781    0.2019    0.2340       208
   4     0.4813    0.5448    0.5111       402
   5     0.0000    0.0000    0.0000        68
   6     0.3832    0.4377    0.4087       345

The emotion labels: 情绪标签：

Emotion - {'neutral': 0, 'surprise': 1, 'fear': 2, 'sadness': 3, 'joy': 4, 'disgust': 5, 'anger': 6}.情绪 - {'中性': 0, '惊讶': 1, '恐惧': 2, '悲伤': 3, '喜悦': 4, '厌恶': 5, '愤怒': 6}。

I know the main strategy is to adjust the class weight. To be hnoest, I'm new to tensorflow. I don't know what codes are needed to add to achieve it. Could you please give me some suggestion?我知道主要策略是调整班级权重。老实说，我是张量流的新手。我不知道需要添加什么代码才能实现。您能给我一些建议吗？

Best wishes> 最美好的祝愿>

Same for me!May I asked If you've solved it?