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multi-class-classification

Text Classification
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distilbert
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multi-class-classification
File size: 5,806 Bytes 
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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: f1
      value: 0.8692821860210945
      name: F1 Macro
      verified: true
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    - type: f1
      value: 0.9185
      name: F1 Micro
      verified: true
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    - type: f1
      value: 0.9181177508591364
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjQxYmFhMzQ1NmM4OTQxYzg5MGYyZDgyNDgzYzQ4ZTY4ZWRmYWNlOTQyNjk3MTljMTdlNzc0YzI1YmEwZGQ5YyIsInZlcnNpb24iOjF9.tFzvcpez6mjSFyWZlgk1_9c_QyasGvQ_hXCTUqzMUdiO7Pof465IBmbKCqPDnEweTcypa1jD4ecvcoPzx-G0BA
    - type: precision
      value: 0.8738350796775306
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTdhMDg2NmU3NDJlNWYwODFiNWZjOWU4NWM5NDc1NjEzMjQ0NjUxZjY1ZDM1OTQ1NzU4YTMyNTA3NTFhMWFlNiIsInZlcnNpb24iOjF9.RVUwjBs1FYBweEboY_kTcCssf3rVLbtQIjZnCQmhBJnCbYyZW6KTCKbt3qiw-FyzjX5P-fkK2GbwpTkipwhGDA
    - type: precision
      value: 0.9185
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJlOTJmMjA5MGEwODAwMjVkMTMzMWIyNmZlOThlMDc3MmRmYWM5YzI4MTI0Y2E5MDEyMTdkMGYzOGRmMjRhMiIsInZlcnNpb24iOjF9.ttqgrykUq1R10Plm1Tqiol_kYaOTZnyKPEJaqE6l58OT7kyjgmgk2XpdU1f_ZaK9Fvj7IYfy8ew9vJPZ3fc7Aw
    - type: precision
      value: 0.9179425177997311
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmM5MjlmMmUwZWM3NjAzZjI0NDhkMTY2NTY0NmJkMWNmYzU2MTA5NTlhZmU0OTI2N2MzZTdhYzU0YTVmMmYyOCIsInZlcnNpb24iOjF9.sOOwCp7-K68hCODiHT50Q4iUlEp_QMp13ZPOVK0B7uvePYIUEenp3BERuda-aiK0tJwaSuq428j83mC8EdqsCQ
    - type: recall
      value: 0.8650962919021573
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzlhNmNjZjcyOGM4MmRmN2IxZDExYmFjNzYzYzY4ODMwNmFjNDhjMDVmZmYwZjkzMzQ3ZjgzNmUyODk1YTUyYyIsInZlcnNpb24iOjF9.MkiPaQI1_TjuuPto3KwXhlT3u2wwgO6fg1w_EPV2T74PwdiRsVt11alXTJXgq8hmanrBYnWypk5VzC9OmXZXCw
    - type: recall
      value: 0.9185
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzg0OTQwZWNiMGE2YjA5NThjYTRhMjE5NTNmMmMwNzY0NTY5YWRlZTVhMjZhYmYwOWFiNmQ1YzQxY2E1ZDVmMSIsInZlcnNpb24iOjF9.LM2xWXrJAJdgLJ7HyUH45bkDmB2NrNeX1HSffw5igtoMd7DFsdVrvNEDDfePiW2YQPlA1tZsxDq9Evsj38erBw
    - type: recall
      value: 0.9185
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzU3NGU0OTIxZjIwMzc3ODM4YzFiYjEwMjFlNDI4MmU3NDI5NDQwZjNlYzU3ZmNjZDVkNDdjMWIzZjBjZjdiNiIsInZlcnNpb24iOjF9.oza0-N-cJ1nwb2NhFAHqXIpfBLKPOWNJT8yyhrYscxgx_FKCRhv5Czl1HCgOd9pkWceBpVwsgxMCYiVEpQoMAw
    - type: loss
      value: 0.20907790958881378
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGRiMzI4MDlhYTYwNWM0Yjk4MjAxNDY0NTEyNGUyOWE5NmFjZGM1YWFiMGQ0Yjg1YmVjZDVjY2EyMzBmZGI0YSIsInZlcnNpb24iOjF9.37MscN7wz25jU_rcAEK33oRAJl_jc-zRRCTn9acgxL6kCf__bV_YpvrvDdnT2ArAVv9m3DyRIOpwYFkDj4EUBQ
    - type: matthews_correlation
      value: 0.8920254536671932
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDI5MmU2ZjIxZjU0NDU1NDRhMzg1ODI5OGRiOWQ1NGY4YTNjM2JkYTA4ZTY1OTdiMmE2NzFlZTg2NmQyYmRhNSIsInZlcnNpb24iOjF9.jvK80B05dMGBklqPq0Kj4wgn8uJnBtVtUiJfGFpZueV_HJMRoOzwEpXFvYJCA4n04mzFrbr8prDMppQuKm7PBQ
---

<!-- 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