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:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metrics:
    - type: accuracy
      value: 0.9275
      name: Accuracy
    - type: f1
      value: 0.9273822408882375
      name: F1
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.919
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzllYTdkMzk5MGQ5NmNhOGE1MjM3YTk5ZGRmNDk5YTIzNjlhMjU5YzRhYjkzMmRkOTI3ZThhNjkzYjJkMTk2NiIsInZlcnNpb24iOjF9.WAvZDHC0aRGwk1hp4OHxhQAxPRNhP8Fya9TBG5WahFqv1jbbahsmersBkkTWoJxndVSt30OQ1WPYhP1Lr89oCA
    - type: precision
      value: 0.8882001804445858
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGJiMTIxMWM3NDBhMjQ1MGQxYzFjOGJmMmFmNDViNWZkZTY5ZTUwNWM0MzZkOGM1OGUyY2Q3N2M2ODcwZDlmYiIsInZlcnNpb24iOjF9.lMvyFLkwrvPXye9z9N1cO_3fDkijvTwTRX9RPE2xBgGndCdFqnnWu37MUR_IkeHMAAmGTbpixSRfhQj-UBm_Cg
    - type: precision
      value: 0.919
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2RmZjM2NGRhNmJjOGIzN2MzNmMyZmQ2YTZiZjkwYzNmOWQzYzgxYzZmY2NlOTFhMDBlYmJkYTE1NTg1YWM5OCIsInZlcnNpb24iOjF9.G_JHEDflvedJsZe0uMn3VYyncqSTJXqnIBHx-veMhDthx9tpuIviZe0jXqvsXFQV9U6FIpUdUNwvZVkHfZDDAg
    - type: precision
      value: 0.9194695149914663
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDM2ZDFkY2E1ZGI2MzJhZDE3MGQyMmFkMDE0ZjA4Y2NmOWJlNDg3ZWQ3NDU0MDcyODc0NDU2YjZjZjU2Mjk4NCIsInZlcnNpb24iOjF9.dQk7WfShH7iZq-KqwTysj_tx209ziB8na5Z31bnMndswrIEmHY9gqVp4yPLpi6fM0jEqBg-XzomY1GrqiWsfDg
    - type: recall
      value: 0.857858142469294
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmVmNTA5OGNmOWRhOGFjY2MyMWNhMzkxZjUxZmU0N2U3ZDFlYzJlZTIzYzk1NzcxY2M0MDA3ODk0MmQ4MTRiMCIsInZlcnNpb24iOjF9.kK0rceqpEDBxvkx4GhrIl7n2lKY5YqEUe3l_mBkzwzB4aLdTqkvghCuXVnm9W-YHkn_v0U3reEgYF-5dbO6cDA
    - type: recall
      value: 0.919
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZjOWVjNTljNjQ4NjE5YzMyOWE0MGQxZTVmOWJlMGMxYmUwZTJkN2Q1YjE1YzJhMjU1MzAyN2RmNGZmOTRlMyIsInZlcnNpb24iOjF9.2OZJpe39B2pPxqNtyfLlro2W4rYbZ-fYccDIfSAzl91aFg02v4VvoGZca4n7bIZRgY9ZUXafyxV-Wco-zUCuDw
    - type: recall
      value: 0.919
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGUyODAwNjRkYjU4NzgzZjZjNmU3YmVkNmY4NzEyNzQxMzk5MmJiNTM4NDJjMGRmZjIxNDdmNGQ0OGRjMDhlNCIsInZlcnNpb24iOjF9.kB3a8M1g_Fm5YxfwsPANDhRU1OXffzNPJ39xUuultQAaV08AQkd_jwmwEPY05Z9v1-WFGoh_FrgWm2tDzd95Bg
    - type: f1
      value: 0.8684381937860847
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODJmNWI0MTNkOWVkYzcwN2NlYmZiYzUwYjY0ZGE5OWZkNzg3ZTgwNWVmZmI5MzJkYzBlMmRmOWEzM2Y3NjIwNiIsInZlcnNpb24iOjF9.vhk1X_3NgSiSr5_qPShFegRDMJVp3ZcdvekF3ogUEkDBS3loSN7K8aMZ7Y_55NDSHvyDX1cp9gybAoRcUbqJAA
    - type: f1
      value: 0.919
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDRhZmExM2Q5NGM1NzE0ZWFiY2E3MWU1MjQ2Mzk5OThkN2QwOGM0NDhhOTQzM2UyYTg1N2NkZTVjNDBmOTU4YiIsInZlcnNpb24iOjF9.yKaely8qV_R2e6_B5w9FmPv42H_iW_R1kWIP0KLHFlUBOCMv-tc419xTkt1MT_tbdXVWUQP-hgN2RN40ModVCQ
    - type: f1
      value: 0.9182406234430719
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODNlYjI3MzA5OWUyMmU5OGFiZGQ1MjMzNzIyNTYxOTU3MDYzOWRlNTE3NWQ5MDVkNmQzNDI0MzVjZDYxMTI3NiIsInZlcnNpb24iOjF9.QslmDNLeaPnMcOCSNiK4d_jfxuG0LPLEaBYSA-DhlE3GqW8NdCwYLZWpVv9heLoOPETmtPDQ5d_IHbCTqClTAA
    - type: loss
      value: 0.21632428467273712
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzYwMWVlNDFhNTZmZTExMzUyYmEwYmFjYmYwZjkzODgwY2JmZWM3ZWFjZGU3OGE0MmYzZDgyOWZkMTY3NjAzNyIsInZlcnNpb24iOjF9.IPoMRSAeO2vxYwY06zq6BrZLEkIRhIB4T6F6NE2ADAznyEzeVUOHq81dxxIsJfPAWkVfKDhfjKA_HT72A4-tDQ
---

<!-- 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: 0.2237
- Accuracy: 0.9275
- F1: 0.9274

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8643        | 1.0   | 250  | 0.3324          | 0.9065   | 0.9025 |
| 0.2589        | 2.0   | 500  | 0.2237          | 0.9275   | 0.9274 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3