README.md

---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model_index:
- name: distilbert-base-uncased-finetuned-emotion
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metric:
      name: F1
      type: f1
      value: 0.9327347950817506
base_model: distilbert-base-uncased
model-index:
- name: jsoutherland/distilbert-base-uncased-finetuned-emotion
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.925
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjczZjBkOGFlNWRiZTg3NTA1MDc2NDhhZmExNzlhYmJjYjRlODgxNTUwZDI1NDUzMjViYTU1NTE1YjY0NzhhMCIsInZlcnNpb24iOjF9.V2oCF0Y-F41cLXjFU1GpuBjI3F4D8tL5H1iizFIxn6AYC5n-3jUOYo80QBs4EmQZP449nQugdHk5-iFSWF4iAQ
    - type: precision
      value: 0.8954208010579672
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2U1YjZlNmNlZGRmYThjMWE5MGM3ZDcwNjVmZjlmMWU1MjAzOGUyMzgzNmVmYzYyMmUxNmFkYzdlYWE5ZGU5NyIsInZlcnNpb24iOjF9.LoFXbY2rcvQ92c5qpmxW_EfIDlDKh3I6eSrRBVWw0oZxjKzsapxeIGMdkOA6ZinQKtlWP0fQcA56jEhIjiJICA
    - type: precision
      value: 0.925
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjk5ZDUzNDFmMzBmZDNmNjk5N2Y1YTQzNTE2MjM3MGQ5YWM1Zjk0MmU3YzU3MmU0ODJlNjZlMjg1MWE5NjAwNyIsInZlcnNpb24iOjF9.PFWMLKFjyJSeQqKEU_HbGbI0An9bXUV13v5gNFldpmO8q08Jg_T-x5YK-NmEuQ4G56JdpKgTAAmivlhYWxRKDw
    - type: precision
      value: 0.9256567173431012
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGY2MTE5OGUyZGM1YWJkOGYwZjExYmE1OGUyODI3NzQyZTU1ZGM4ZDgyMTBiZWYyZTFhNzJkOWM1MjI2ZGQwYyIsInZlcnNpb24iOjF9.nNG5SP3x7xXkpP9j8H58i58CQhkObYnR6I3N65L-GJGypY86dIukYWN_5JIEeBBTb6sxGq5hed6lNYqFNd2RBw
    - type: recall
      value: 0.8711059962680445
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTI0ZGE1MTZmOWU1MWE3ZjI5NGFiMTg3Y2Q2YzY4MjMwOTBjODFmMTllNWI5ZGVjNTViY2NiNmNiZGQ4NjhhYiIsInZlcnNpb24iOjF9.jVQbGWGGFAwz4HXOXEd5LMhd5ayC4lORtnfexVXW-WyDpsCzHrVMHShwX4g8RiRzMpReYB_0nGniv0p9egNGDA
    - type: recall
      value: 0.925
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWYxMGY3MDIzMTdiNzU0MzBhNThiYjA5OTkxNjFjYjIzZmVlZjA0YTRlZDhiYzhmMDAwMTQ5NjhmYWNjY2ZjNSIsInZlcnNpb24iOjF9.Pzn0p18B43AaofOnT9ZPkTG8qwwhxUYhG9xPi35tJR7oHUsfzUtGVsWSd0BQd49W45CzUU5kUdaeZZFmSgqfAg
    - type: recall
      value: 0.925
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzA3Y2I0NzBjYTExODBiZjc3NDZhOTA5MzI4NjAyYWE0ZjA3NTc5ZjNiNmEzNzdmNDljZDJiOTcwNThlNTE4MiIsInZlcnNpb24iOjF9.gPDirWMiSMD6FMc_Ruz5Td7gBm4dY0EFRjcEPuzryQEMc7FTviQ5QCrnpQDJRAanlrASYqTtiUEfHtUfYURHAg
    - type: f1
      value: 0.8794773714607985
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTM5NjZmNjI5NjE0MTdlZTQ0YjkxMGQ4Y2QzZTBiYzc0NTg1YzYxM2UxYTI0NTBlMWU3OTE0ZjEyNWI1NmJiMyIsInZlcnNpb24iOjF9.vyL-0gLHzckauTA_xJB_2YplAJEsHnrxft6jQthjRRf3o_-jgHMe6bH2vOGfYR__XwdVUJOPadNRQVkq--b0AQ
    - type: f1
      value: 0.925
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU5NWRjMGU4NTdhOTZiMTgyMjMyMTQxNDliNGNkNDUxNDJmMjZkNTgyYWFkY2ZiMDBkOWY2ODE5Zjg4YzgyNSIsInZlcnNpb24iOjF9.xX1RzQgLPX2oSwbqklGpxM7I0NZi1B7TdFfo7KJ0KmGiyOxc9zOjgm7PlBUFq0_lOWyJa4BQUXLiXmFTUc-CDQ
    - type: f1
      value: 0.9244781949774824
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWVhMTE3ZWFhYTJmYzQ0OGY4YmY3MzZmNzk0YmU5NGE0Zjg2ZWJhYWE2MTAzMDk3MWRlMWM0NGFhNzg3MGU4YiIsInZlcnNpb24iOjF9.NZIQRvbFt0SujrtCG9-saaLiuyO90ZFIR_uKuSzxAmfsV8eP2SBl7FHW5_L3BS2OGj5JCVjqlZVRg1OjBOm5DQ
    - type: loss
      value: 0.17752596735954285
      name: loss
      verified: true
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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: 0.1649
- Accuracy: 0.9325
- F1: 0.9327

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 250  | 0.2838          | 0.9065   | 0.9036 |
| No log        | 2.0   | 500  | 0.1795          | 0.9255   | 0.9255 |
| No log        | 3.0   | 750  | 0.1649          | 0.9325   | 0.9327 |


### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Datasets 2.1.0
- Tokenizers 0.10.3