README.md

metadata

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
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGVjNDg5NTE1YTgwMGQ3ZjU4YWI2NmUzYmRiMjAyMzdmYmM3MDMxZTVhY2Q1NmMwMWI3ZDBmN2Y2YjNlOWVmYSIsInZlcnNpb24iOjF9.K_ygiVElIGmd0yD8KLpkgMVqdPJuq81Ud6RN0AdvbUakpYmoHfXaBs4xwQRop68yFFnzgXruxvj8cOTC0-9wCw
          - 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

entity-extraction

This model is a fine-tuned version of 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