README.md

---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
- autoevaluate/conll2003-sample
metrics:
- precision
- recall
- f1
- accuracy
duplicated_from: autoevaluate/entity-extraction
model-index:
- name: autoevaluate/entity-extraction-not-evaluated
  results:
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: autoevaluate/conll2003-sample
      type: autoevaluate/conll2003-sample
      config: autoevaluate--conll2003-sample
      split: test
    metrics:
    - type: accuracy
      value: 0.9680247550283652
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYThhYWM2YjMzZDQzMjEwNmVjYTUyNjU3ZjRlZTFmMjgxMmZlOWRkOTU0N2QwNzUyM2Q1MDE5MTU1NWEwNGUwNCIsInZlcnNpb24iOjF9.UimQ9lgErqDa5MDfPwNiETIMcfADzmhHCVxWEcFQ5tsuO8ZJz9y6jMq4y0QMdMx-wW4GAd7kMla2qg0zs5oYDg
    - type: precision
      value: 0.9708377518557795
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTNjNDhlYjMwNGEyMTRjMzBlNjNjMzdkZWYyZTc3NTNiMGZmN2EyMjM2NjczOWI0ODU2OWI3ZWQ1MTZhZTU1MiIsInZlcnNpb24iOjF9.g520sNrWSPiZ67rH-8mMs7IdztaC5BQoTtE8qSCAzRXXbHr6w_JymNdm-Kr0aXk5LfwxFk0cLzeFlxqLS2ynBQ
    - type: recall
      value: 0.9754928076718167
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTYwZmVhY2MzNjQzMjY4ZWQ0OGQyY2FkYTFmNzg0ZTI1ZmRlYjNhNjgxOTM4MzJmOTI5MDM2OWFjN2E4YmEzZiIsInZlcnNpb24iOjF9.ymsQUphSKFnUbAMoC04r2L78u7Jz362klrTUxGriJnCZoXKpsCx2kayfaABIljGCyUlv-jqj184HC5Z09ztXAg
    - type: auc
      value: NaN
      name: AUC
      verified: true
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    - type: f1
      value: 0.9731597129949509
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODM5ZjdmZjlmMThmNzRjNzU0MTQ5YWRkNzdjYzYwYWEzMjg5Y2UwOTliMWIyYTA1ZjI0NTU5M2I5MjVjNDA4NiIsInZlcnNpb24iOjF9.r1sn92T-Os1Zkk1U1JJkiiZd2ZbpxeJJ5wxJW-st9Hqf5f_GFk0g61wH9HDeSfshIRNK0a0p5a9nfS6fFuCzCw
    - type: loss
      value: 0.1187286302447319
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjkzMDVkNDhmZjcyMTJjNWI0ZmZhZDkzNTA1ZmIyNDJkMWZiMmVjZTMyNDg5YWQ0YmM0ZjBlMWU1OWFhY2U5YyIsInZlcnNpb24iOjF9.aKrwPV9LgOtY5TBJqCxWFDKEujxxmvFjqviWc48p7xYU08CttKNI5lqlPhzbx_c1fAUNGPMB_kk48EMoTOaxBA
---

<!-- 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. -->

# entity-extraction

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0808
- Precision: 0.8863
- Recall: 0.9085
- F1: 0.8972
- Accuracy: 0.9775

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2552        | 1.0   | 878  | 0.0808          | 0.8863    | 0.9085 | 0.8972 | 0.9775   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1