xlm-roberta-base-finetuned-panx-all

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1727
  • F1: 0.8571

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
0.2983 1.0 835 0.1887 0.8190
0.1592 2.0 1670 0.1648 0.8429
0.1034 3.0 2505 0.1727 0.8571

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.6.0+cu118
  • Datasets 2.14.7
  • Tokenizers 0.14.1
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