---
library_name: transformers
tags: []
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
```
              precision    recall  f1-score   support

     neutral       0.89      0.24      0.38      5454
       anger       0.06      0.17      0.09       102
     disgust       0.02      0.20      0.04        41
        fear       0.01      0.71      0.01        14
   happiness       0.23      0.53      0.32       927
     sadness       0.03      0.12      0.05        94
    surprise       0.04      0.18      0.06       108

    accuracy                           0.28      6740
   macro avg       0.18      0.31      0.14      6740
weighted avg       0.75      0.28      0.35      6740

          Accuracy 0.27819
 Balanced_Accuracy 0.30592
          F1-score 0.35445
```

[original one](https://huggingface.co/Shotaro30678/archive_emotion_predictor_for_emotion_chat_bot/settings): 
```
              precision    recall  f1-score   support

     neutral       0.84      0.91      0.87      5454
       anger       0.17      0.09      0.12       102
     disgust       0.00      0.00      0.00        41
        fear       0.00      0.00      0.00        14
   happiness       0.36      0.30      0.33       927
     sadness       0.00      0.00      0.00        94
    surprise       0.00      0.00      0.00       108

    accuracy                           0.78      6740
   macro avg       0.20      0.19      0.19      6740
weighted avg       0.73      0.78      0.75      6740

          Accuracy 0.77982
 Balanced_Accuracy 0.18522
          F1-score 0.7538
```



## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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## Uses

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## How to Get Started with the Model

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## Training Details

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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