README.md

---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-finetuned-emotion
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metrics:
    - type: accuracy
      value: 0.918
      name: Accuracy
    - type: f1
      value: 0.9182094401352938
      name: F1
  - 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
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGFmYmNlNzU0NzNlMGU4NDI1ZjAyMzRjY2U4NzZkMjVkNmM5Zjk2ZGNmNjBiZmY0YjY1Zjg3MzViMmRlMmRiOSIsInZlcnNpb24iOjF9.7VJ4JGkOHZ7jp_hA9Jx0ToQ74OBp918a1OVZ3qpuv1ZV1qkPrCVW9_g72v0QjmICdlHvHrBwvKywdzv-It6RCg
    - type: precision
      value: 0.8948630809230339
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDRhYjBjYzViMGY2MjE4OGU2OWZlYTUzNDljMjllYTAyMGI4Y2FhODQxOWU2N2NkNTYyOGJhZjA4MmFkOWFiOCIsInZlcnNpb24iOjF9.0rf2OHpdMViVl-vFQIE0g5qFmpvSfWa1Igs9Ala_T0foNk1rD4IR_bLDHqbU57HWDDYFKK2EKfV9KK19-pONBg
    - type: precision
      value: 0.9185
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTM0YjhmZDVhYTlhZWQ3ZGQwOTRjNGI0NTU0OTFlZjFlMTE5ODQwY2E2ZTZhZmMxYjA5NDc0MzgxMjFkZjNmMyIsInZlcnNpb24iOjF9.n1LvyMO5EkZ5H7zkB533gP8w7FMpv8TxgaeaqiM-fAHmrMsF_-Dkc0X5tjI5_QQGU2aqXOHdThmWI1ohelJoDw
    - type: precision
      value: 0.9190547804558933
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmM5NDVmMDcwZjVhYWIyNTI1Njk3M2Y4ZDg0N2Q5NzU2NTU3YmZlNjEzNjcyY2VmODhhMWY5MGExZjViMjMzYSIsInZlcnNpb24iOjF9.gAvnEt3NSkc5Mp0JhezC6pfsa2nXVcvD-3dfFcRy_F4S-iv8u-WjC2sj5S3ieYmw5zZlgFVLiWj3N9WclLceBg
    - type: recall
      value: 0.860108882009274
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDQ3ZjM3NGM4NzVjYzVkMWYxNmMzYjM1ODVhOWMwODk2NmE3NjcwNDRhMmQ0YTQ1NzdkNTNkZTEwYTBhMmIyYyIsInZlcnNpb24iOjF9.niXajj933x2yuG_AorT3Yp7_60MgHy-eXkwpjp1ERCknWcxJ5BB38-tJdP9ambP3QeGJYtjPlXVeQLpaQ7rdAw
    - type: recall
      value: 0.9185
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjE4OWM0OTVkMDllN2JiNjUxMWNlOWUzNTNkYmU3M2U1YzIyODBkNjk5YTBhMmFmMzM5Mzk1NjRkNjRmMjUxZSIsInZlcnNpb24iOjF9.S0di5PwvB-9NpPh6d1VOBUZOqIxVdyfPeUIc5NCTZ6-hc4NrWyAsrs_-3ybbhnws6ZqgQh8S-oCLPj142J0LCA
    - type: recall
      value: 0.9185
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWI0Zjc5ZGIwMzdhMzRiYjgxYzcxZWVjMDczZTcxMWZkYTljOTI0MjVkOTU0MDdiNDYzMjkyNThmNmUwMWQxYSIsInZlcnNpb24iOjF9.fdOWpzsUjzuC_jL4Iy4AY-gloMO3_cuxwvFs-2ViJU4RLn7xnJNqdID5hyuoSlytpYyk8yf0J8tImddj_V4qBg
    - type: f1
      value: 0.8727941247828231
      name: F1 Macro
      verified: true
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    - type: f1
      value: 0.9185
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjBjYjUzZTlkYzJjZDhkMjM4MjBlZWYwNjA4NTZlZjY2Njc0ZDgyZjYyNjU5ZmM0YzY3ODFlN2ZlMWRiZDZmYiIsInZlcnNpb24iOjF9.WXwc2VTkkUDPCY5JxnHFPduRa_iViuxS3MvNiH4Od2kRNnIYxlFY2wo1yT3UQukAnz69Uq6M_aSi6a7qnxt7Bg
    - type: f1
      value: 0.9177368694234422
      name: F1 Weighted
      verified: true
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    - type: loss
      value: 0.21989187598228455
      name: loss
      verified: true
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---

# distilbert-base-uncased-finetuned-emotion

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: 0.2287
- Accuracy: 0.918
- F1: 0.9182

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8478        | 1.0   | 250  | 0.3294          | 0.9015   | 0.8980 |
| 0.2616        | 2.0   | 500  | 0.2287          | 0.918    | 0.9182 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6