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Librarian Bot: Add base_model information to model (#1)
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - xtreme
metrics:
  - f1
base_model: xlm-roberta-base
model-index:
  - name: xlm-roberta-base-finetuned-panx-it
    results:
      - task:
          type: token-classification
          name: Token Classification
        dataset:
          name: xtreme
          type: xtreme
          args: PAN-X.it
        metrics:
          - type: f1
            value: 0.8219402374130168
            name: F1

xlm-roberta-base-finetuned-panx-it

This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2564
  • F1: 0.8219

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: 24
  • eval_batch_size: 24
  • 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 F1
0.8123 1.0 70 0.3267 0.7418
0.2832 2.0 140 0.2694 0.8006
0.1766 3.0 210 0.2564 0.8219

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.13.1+cu116
  • Datasets 1.16.1
  • Tokenizers 0.10.3