---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: bertweet-base-finetuned-emotion
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metrics:
    - type: accuracy
      value: 0.9365
      name: Accuracy
    - type: f1
      value: 0.9371
      name: F1
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.923
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmM2MWE4ZjY5YTgwYTJiMjU3NzM2ZThhY2E1ZTMwODViYWQ3MjMyYWQwNjY5YmQzNWI4MDNkMDIzNjViNGFiZSIsInZlcnNpb24iOjF9.6EvBDfdNh_DOQdV5x7v-1kbmWOtC8y5_d05D-q4D6HijTs2CWCJq9fIxejdK_fhCmgrjplgg2nUivCKhdYhaCw
    - type: precision
      value: 0.8676576686813523
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWNlYTE4YTNkYjc2OGEwZGUzYzI1MjNjOTc3NTNiMGQ0MWNmZjQwNTgzZWNmMzMzMTU4YjIyODQ2Njg3YzQ5NyIsInZlcnNpb24iOjF9.EKO1dxq7_i3YOM-qr_VsPmLdUtRmjqmAWZ3fwvhU8LINMf96FtpVidg-tzScuDvOuokSlyxuWWK0N5_W_7f9Dw
    - type: precision
      value: 0.923
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzQ5ZTA5ZTY0MjhhNWE0YjdiYTk5N2ZjMDlhYmViMTNiZjk5MTZjODUwNTQxNDRkNzFiNDgzZTRmYzAxMzg0NSIsInZlcnNpb24iOjF9.P0M_qss4GFeHpOBs3Qch7LqgkJRn_8rAqVYS1DJcWjSldPu9SAg9h_1XYgmHPt0AlkJQ3WJe4Kx_MBJJWpnEAw
    - type: precision
      value: 0.9268406401714973
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzQ1MGVjZGQ4YmYxY2M0OTliMDAxY2VkNzU0YzI5ZWVlNWE2YjAzZDYwYzRiNmQwMjliNTQ5NDc2ZmViZGZhYSIsInZlcnNpb24iOjF9.x5qfOfbrYgVZfcOB2Bi18-bIHwK8G24njA0hUGkIQqJi8qhFXLU2pjhQtarHrrq_6A1eTADhgIyqMacpGM_TAQ
    - type: recall
      value: 0.8945488803260702
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZlZWQ3YjMwZGJlYWYyMjc2NTFlZDVkY2IyMjJlZmY3M2Q5MmMzNTQxZWFiNjY3YmY5ZDU5NzcwZTc4ODQ3ZSIsInZlcnNpb24iOjF9.uq3VbwWkRU1Y2ICazCwNJuoYpw-dDMWT8gdRWrC5astZCA4MB378utJv5C4LD1ZIfInjY_VYvawZtAJj7QLADw
    - type: recall
      value: 0.923
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWNhMWE4MzcwNDg5MTAxYzUxZmRkNGE5NjA1NjIwYTdkZDg4MWUyMjE0MWRjODA2NmRkNTg4MTZlNWRhMTE2ZSIsInZlcnNpb24iOjF9.-gqvwVg7e5Nz7_0gsnDfB5UQQzhj4F8DmEq8AaGB8wTO9TDavykemllYREzAe93NjW-50uCHFJmAtsAZXPKDAg
    - type: recall
      value: 0.923
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzA3NDVmNWZkZDFjODVhY2UzNzUyMDJjMDcyN2NlZmNiMTc0NGRhOTRjMzhmOTVmMjJjMjZlOWU2MTUxZWMyMSIsInZlcnNpb24iOjF9.aMkVOk3SPDKoNhBXvWV3NhsZmlHbWSNxR5g8uM0GYbA6piMP9Knm8IHW47ixrsFI2a3dOlinpeMMZeZRvYoiBA
    - type: f1
      value: 0.8798961895301041
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjlhZTgwYzc2OWZiNGMzMTBlNzM0YmMwMDMwNzk3Zjc0OGFhZDgwYjk2YzNkNjQ4MzVkOTc5MmQwZWI2NTY1YiIsInZlcnNpb24iOjF9._Z0Nb5e2Xyk_9Djq9oIIe6p_nFsbuda9jon8Q1SrTepkQZVMQEWEWAogGMUqkfN7YHYGWsqgaXV1G1GxLd9SDA
    - type: f1
      value: 0.923
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWRkMGM1MTdmM2QyMTM5NGFhZjcxNDQzODEzMWViOGZkMzZmODI3MjcxYzgyZDU1OWRjZjg0N2NhMzhiM2MxYyIsInZlcnNpb24iOjF9.aWqfU-Bc0fRVMwVwn_WL6vErIae_H8a3QWSgTwLLAsL0fXuvqskDzQeIZ0spUD7mfPlxqWUwkwgQz4vkJ1dyDw
    - type: f1
      value: 0.9241278880972197
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTYxNjk1OGEwZTgxMzE5ZjQ0NzY5NjUwMzUyYjhkMzU4YjEzMjRkYWJkMGY0NDc5MjU4YjA2MzAyOTY5MGJjMCIsInZlcnNpb24iOjF9.bRRF1cPvYN2-CHKhJdXVNzfQnf7ObMBut7LMAmr9oZnbDECtvlzO_GSwU-8Tse6HDn7BFUdloJUn-XfhSt_oBQ
    - type: loss
      value: 0.24626904726028442
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGM0NTVkMjk5NjZmMmJkZGVkNzZjZWJmNzJhMmMxMTIwZDgxMTcxMTJiY2Q0Njc5YTliN2VmMzkxNGNkYzZjYiIsInZlcnNpb24iOjF9.wlQDSCjkdMc7UTaLMKrPlhFxmf7E2o2SE8pVprUkBjVcgiRZYbKdj0XECmBHhCEIJXSpO9fmUdcLO5qf4dv9BQ
---

<!-- 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. -->

# distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1995
- Accuracy: 0.9365
- F1: 0.9371

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.475         | 1.0   | 503  | 0.2171          | 0.928    | 0.9292 |
| 0.1235        | 2.0   | 1006 | 0.1764          | 0.9365   | 0.9372 |
| 0.0802        | 3.0   | 1509 | 0.1788          | 0.938    | 0.9388 |
| 0.0531        | 4.0   | 2012 | 0.2005          | 0.938    | 0.9388 |
| 0.0367        | 5.0   | 2515 | 0.1995          | 0.9365   | 0.9371 |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.11.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3