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autoevaluate
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multi-class-classification

Text Classification
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distilbert
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multi-class-classification
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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: autoevaluate/multi-class-classification
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.9185
      name: Accuracy
      verified: true
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    - type: precision
      value: 0.8738350796775306
      name: Precision Macro
      verified: true
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    - type: precision
      value: 0.9185
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGE2NmJhOGM5ODU3OWI0NDBhNmVlMGUyOWUyYzNhNjNlY2M2OTg4N2IyNjZlYzRkNjRhZWNhODVkNzQ1OTZjNCIsInZlcnNpb24iOjF9.bXsHHZ1XpdO8fzukYFwuj7uXitrweUtlqbpNydnMvHETGNaItF_wdbFFAj3y0t7F6O7-q2vT0lEUfwPtbOH4Ag
    - type: precision
      value: 0.9179425177997311
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTczNmZhOGY1NGZlZGIyNDc1ZDU5YzNkYTI1MzMwYzMzZmY3ZjA1MGZjNDg5M2Q5ZDc5ODFjYzA4MWI5YjNmZSIsInZlcnNpb24iOjF9.9OmbamR05yCclqnpHMGaWRX4OOt51ka0ySl_mbCt5jYGPWFSGQ5tck3TzhI3M1_P7uaPboTwfYONbu1zH6hkDw
    - type: recall
      value: 0.8650962919021573
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGVkMjRiZThmNWRiMGEyNDRjZDYzYzU5MzFkYzI3OGYwNGM5MmJhMzk2NDRmYjE2NDZkZDhjYTMyMWEzZjZjZCIsInZlcnNpb24iOjF9.jgu2MhrirukymMCOQ72coBJ2hF23gajQeQhAlSQliqzHVZmLZfkXtuj2sOUgK7MDZWoTThScUbumyv8FtzdFDA
    - type: recall
      value: 0.9185
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTQ4ODYyNDdiZjY4MGYxYzAwY2I0Nzk0ZmY4NTU1ZTEyZWQzODE0NDQzYjE0ODE0MGQyZDMwOGRlZDNjOGJiYiIsInZlcnNpb24iOjF9.2W0ArIcZuDx7BBDqRCHWROpuDZuOTl9of7zwyZBgEmQHI59nXemWYMLH8sxp1pIkAPAvJ7d2HH77ga1HjAWPDA
    - type: recall
      value: 0.9185
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGNjMzhkZDE4NDA4OWNmYTVjNjIxZmZmNzA2MmMwMzljZTAwNWJlMjg1YzRkZjUyN2E4OTk4MGUwMDkzNDI0ZCIsInZlcnNpb24iOjF9.OrTtkfUI4HQteLA9G0NoBq4_BARO2aMwzsyczrTH-bXKgpcZUtufq2TUzCBqJueG5dCoZVhbm2_BQqRZdTxQAw
    - type: f1
      value: 0.8692821860210945
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODkwZGM5OTEyOWEyZDUwNDk1MTBhMTNkZjMxNGFmZGU3OWYxYzJiYmJhMzdmODE5YTY3ZGI2NmJiZDhkMjIyZSIsInZlcnNpb24iOjF9.XFg1wohgpCLFtHPCsWYw_KqCwXXbHDYBePx8uLgOmBDQl6jsQNMf7v_eWWd23pcPEvMa0LZGPpOS1bw_mc5KCg
    - type: f1
      value: 0.9185
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzUxOWRmODc5MDZiYzBjNjIxMGMyMzViZTU1MDI4YmU1MzJiNTM0M2FlMWM2NGIwMzYyMzhlM2E1NDRmYjhhYyIsInZlcnNpb24iOjF9.nsSZ5VNMQty8DHX7aimZvLa3rIHvZxEwAwEJrYH804QDa3Sq1y5N527AmoOkYb3RfKbi2POQ3dlPD7EgqDCMCw
    - type: f1
      value: 0.9181177508591364
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmJlMjZhZDUwMjAzMmMzZDgxMzUwZjkxN2E5NDkxNTE4NDZjMzM0NTYzNjNkNWJhMmE2YWFiZTU3NzYzMWZhZCIsInZlcnNpb24iOjF9.J92ofUV1jvpl2X3IWeBowF1kG5mSbXd5UgLq9mfAAgLc4UbGaafV1ev2DnqPu5q7rT6PHI9w8OR7Z4TXEeR6Ag
    - type: loss
      value: 0.20907790958881378
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGUzMWViODYwMzkxOGQ2ZWQ5YjI0ODIwNzEwZTEwN2Q2ZGEwMDM2ZDIwNWI0Y2MwNDU3OTczNjkzMTMxOGQ4NiIsInZlcnNpb24iOjF9.WvD5YZWsagpaDnh2ZZoEDBil3J2FKM24GaUGVIlJnotSFtp83j0O51FiVMZvT3ev0pKXUge5cjCliBDv553iCw
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# multi-class-classification

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2009
- Accuracy: 0.928

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2643        | 1.0   | 1000 | 0.2009          | 0.928    |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1