---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
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: 0.8885
      name: Accuracy
    - type: f1
      value: 0.8818845305609924
      name: F1
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.892
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWVhMzFiY2MwZDI4MzdiODFjN2RhZjhmODI0Mzg0NWQ2NWZhNzhlYTM3OWJhZmQ4NzFiZGE3M2ZlY2RjMmJiOSIsInZlcnNpb24iOjF9.jbSW1cM0z_PfYbshDiwHFFUSJdQdf7jgNO2IOZg3aUrW-Mceo_xuSnE-kvAFpA6uDgRjAB_LVQiCoHITTUj8Bg
    - type: precision
      value: 0.8923475194643138
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmIwOTQyNmNlZjg3Nzc2MzlhODlhZjhmOGQxN2UxMzk1YjkwOGFkZjEyZWI3NjIwOTU4YzhmZWU0ZGE2NDZlYSIsInZlcnNpb24iOjF9.D5B7-ynkFzofI1uAJ-5LRA4kz2brI9rxQwSXgbiK2V0Sgtplsb6mI8qVAX2U1SsLNk4hxVArARiYNXReVwSOCw
    - type: precision
      value: 0.892
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQxZmE5N2NmNzU3MDc5NzQyYjdmZjMwNzI5ZTljN2FjOTY1ZTdlNTdjNzQyZWYwMWU0NmVjYjcxYjljZDViYiIsInZlcnNpb24iOjF9.KnY8MM6w-6NlK1rvtFqi3pxjnT1-EMu_GpXWQfDxj9djCrMtcL-V_XTScAtINJqm2sSvA84mZfKq9l4yBUUyBw
    - type: precision
      value: 0.894495118514709
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWM0NTcxMmZjMWE4OWNlOGI0YTUxM2I3ZWI3NjhkZmRiODEwMmEyYjc3ZmEwNjJhNzRhZjk2ODQyNTVlMGYwMCIsInZlcnNpb24iOjF9.ydHo8eHtjjKpoQgFlkg_0mUQJQitj_aM9Kk3-wVg8KQZFqVmIlKHMqZooCn-h9NWkDCWdt20tQwU1T7A9DuWCg
    - type: recall
      value: 0.768240931585822
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDcyZTJhYzYzMzgzNGZiZDIzYjFmMDY2YjAxMjkzMzEzMjZjZTUzZmQxYWM3YTg3NGYxY2E1ZDhmYjMwNjgzZCIsInZlcnNpb24iOjF9.0mgZPEfXHfbT1H3ysZ_IGgjxTsHJ86oFPevMXGK0es_-Y8ji8kAwf07CEjzHX0h74jK7TcbQjkDJAgje36NwCQ
    - type: recall
      value: 0.892
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzI2Mzk2NjAyYTc2MjRhMGNjODRiY2RmYmZkYTI5OWYyZGNkNGYyY2IzMzcxNWQ3NWQ0ZjNiNTE1NmVhOWU0NCIsInZlcnNpb24iOjF9.Z7Mhp-7UH6cJoDCz0Nhy66oKoB8Snf_2gyi0jW3p4Ioy84N8DCJ_hr7d9jyL4R97-l0FhiVSgsBODoAK5ShjDQ
    - type: recall
      value: 0.892
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDA3OWIwNWY2MTBjMTFkOThlOTIyNjU0MDljMTc5ZWIyMmZhYzQ4NjY3YjlmZjQ4ZDFmM2YwOTMyMjY3ZGFhMyIsInZlcnNpb24iOjF9.jD8s8JUzEKhypMUqTFqJ9BoiviKz9TQGJ_io1emmDOOgOg1I4E-NhEs61WvEmh0mzDX107SkT1xmqRryYqAkCw
    - type: f1
      value: 0.7897026729904524
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTcwZTJkZDYyM2RmZjI1MTJmZmY5NDA1YzI0OWE5Y2Y0OTFlMmQwYzRiMWM1ODYzMjYxZDE1OTBlY2M5M2UxOSIsInZlcnNpb24iOjF9.G0cAm-rjG8t3w9iN4pt0_uFPo6D10BwS8Hr2cGg1D1HNUAr5CfoePflzVCfzQNBtnSiWXukKgSrSBjBc--YFDQ
    - type: f1
      value: 0.892
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2JiN2ZlNDdjZDg1MDExZmY1YWFjZWEzNzdhYzY5NGM4YzcwNzVlMTA0MTFjMDE5ZjRlYzEyNThiN2Y3ZWQxZCIsInZlcnNpb24iOjF9.3dm3HY1jNlEeV35GkDWl5_YVqCJuWiRV3WZsxvmK7G5FuIbNK1rCY7wH89A_fswvgjK2VUJbsiyaADgiJb6PBw
    - type: f1
      value: 0.8842367889371163
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGY1Mjc4YWFiZTRhN2YwZjg3NDE2MGI0MGEwMjNkNmFmZTEyYzUxZWY2YzZiN2E2YTM5MjZjNWQyOTUyY2ZkNyIsInZlcnNpb24iOjF9.Vo4GHfz8bwarnu1XhxK6Vwi5-AkYmbXGi4HiAsbcceNQ1Yw28wGcEbmwyy6drzFrAy0FinnxhE5JgVHSu4AbCw
    - type: loss
      value: 0.34626322984695435
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGFlY2RhZmVjNmYyZTM4OGEzYTk1NzY0ZTgwNmI4MTc3Yzc0MjI4ODQyNmQ5MjI0YTVhOWUzODE3Yjk4ZTQ0MyIsInZlcnNpb24iOjF9.IXY1qh3VA3PddbtJsU6DmBt8QcY7rjr-Mnunzh839semWGF4LLRSKHFWluS7QCHK0PYD-NiL7hz1Sxy4GBv8AA
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: validation
    metrics:
    - type: accuracy
      value: 0.8885
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDA4YjAzNGVkZGM4ZGFiNDdkOTJkZWRlNWI4NjQzZDI5Mjg2YzA2YWMwNzk3NGQyMWZiZDEzMGM0NmQ1ZDgwYiIsInZlcnNpb24iOjF9.NWtb2AaejmLY4FbHnatMoA_0PCZUG8LHAZF1_CbOjLo8t6fn_TVkrkRlGQ3UYCCgx1o1WDs-DZ5_ezQTtCyiDA
    - type: precision
      value: 0.8849064522901132
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzkxZWI2Yjk0M2UwMzJlYTBjYmUxNmU2ZWQ4OGY1NmRmNzkwNjE0YWIyNDkzNDBkNjBhZWY0NWI4MDM0MDJmZiIsInZlcnNpb24iOjF9.KDvr_Jp8PFxYXsyD2MPJ9ojAi-RJ7_it_5Fsqa5G2Cz8Fh3-5dj7zwaQ4WoA5lCywwRPNuFiyTrBhpR4fvrqCw
    - type: precision
      value: 0.8885
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGM3MWNiMjRkZWMyMjUyYzhjNzQ3NGYzNzFlOTg5ZDBjMGM2OTFmMjc2MmVmNzkxYTNkYzQ4Y2Q5MWZhMjhmOCIsInZlcnNpb24iOjF9.3pO_CnJ0N2BrP7akQT-0bnWQs9SLt5uBczpSt2sgNLw5Is9owAc5_JN9VIKNlSwO5HwZ0PuUO61oHLvUvvTlDg
    - type: precision
      value: 0.8922726271705158
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2JlNGVlMjhlNjAwYTQ1ZGQ5NDdkYjgwNTYyOWFlOWY1MGVhOWM1YTdlMzE0ZTY5ZTRhYWQ4YTE3YzI3OTI3ZCIsInZlcnNpb24iOjF9.q7DlhONpdL282VbtYj6N6uIK2SJaZ_iVPMrZVxBDGZvAnWjtYkHpXn3XkwCMdk1Y5NY1kyjf12QVvbD4f2IdDA
    - type: recall
      value: 0.7854833401719518
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWZmOGQ2NTg2YzAzZDk1NDlhY2ZkOTQ4MmM1YmVjOWI2YThiZTY1YTI4YTM3YzAyOWVhMWY0MTdkMzM3NmRlOCIsInZlcnNpb24iOjF9.W8l1jKV0IQzxqa_QVft1TcLMrTD3SqKRshyUbXm9wnukB3rZ79GyxNNOEj9LuuwC6L4aAM7-HLjVUhqZNeALCA
    - type: recall
      value: 0.8885
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmUwNzBhNDU0MzhhYjA0ZWM2MDZlMjMxMGMzZjYyZDdhY2Q5NThmZjY3OTY1ZTQ5YjRkZWUxNTIyNDM1YWM4ZSIsInZlcnNpb24iOjF9.8cPiRUbGVZp8vQrorR1ZDRVkTV2oMvOO7A73Wy1IXpqxmSck-nHzl7ykHMe20bVDVvZI-9SdM3E49mSFFjbEDA
    - type: recall
      value: 0.8885
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTQyN2ZmYjI1Nzg4ZTNhYzY2ZmVhYmM1YjdlYjM3NGZkN2I5ZGQxMzFhNDBmYjk1ZWE1YWZlMDhmNWYwYjMyMiIsInZlcnNpb24iOjF9.f0CBrkSNlo4TUZHaAYVkEY-vlLzBRlgjkYxv0pECQAunL2j8KzmgWD62hT-I5GN2JwIM4Q-2jgsnhe8M0CurAg
    - type: f1
      value: 0.8031492596189961
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDQ0MTc0ZDc3NzkwMDRmOWEzMjk3YzMyYzAxMjc1MjZjYWJlNTBiY2Y0MzU4MTZlMzE5NTIzYmFkODBmMDY1YyIsInZlcnNpb24iOjF9.d1RreO4g8vEMMNTDsubr-vYc1RY8a9ZZ9NkMrHO_IuJGKsINld2kV816ShF3yUaq1kpsfEBAZ9RAW377MCfoAA
    - type: f1
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    - type: f1
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---

<!-- 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 emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3663
- Accuracy: 0.8885
- F1: 0.8819

## 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: 128
- eval_batch_size: 128
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 125  | 0.5574          | 0.822    | 0.7956 |
| 0.7483        | 2.0   | 250  | 0.3663          | 0.8885   | 0.8819 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.1+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1