README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - cfilt/HiNER-collapsed
metrics:
  - precision
  - recall
  - f1
model-index:
  - name: HiNER-collapsed-xlm-roberta-base
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          type: cfilt/HiNER-collapsed
          name: HiNER Collapsed
        metrics:
          - name: Precision
            type: precision
            value: 0.9137448834064936
          - name: Recall
            type: recall
            value: 0.9296549644788663
          - name: F1
            type: f1
            value: 0.9216312652954473

HiNER-collapsed-xlm-roberta-base

This model was trained from scratch on the cfilt/HiNER-collapsed dataset.

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 1
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Framework versions

• Transformers 4.14.0
• Pytorch 1.9.1
• Datasets 1.15.1
• Tokenizers 0.10.3