README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - germeval_14
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-germeval-14-4-labels
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: germeval_14
          type: germeval_14
          config: germeval_14
          split: validation
          args: germeval_14
        metrics:
          - name: F1
            type: f1
            value: 0.9268456375838925

xlm-roberta-base-finetuned-germeval-14-4-labels

This model is a fine-tuned version of xlm-roberta-base on the germeval_14 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0592
• F1: 0.9268

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
0.0896	1.0	1000	0.0557	0.9059
0.042	2.0	2000	0.0579	0.9183
0.0239	3.0	3000	0.0592	0.9268

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3