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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: 0.2740
  • F1: 0.7919

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: 2

Training results

Training Loss Epoch Step Validation Loss F1
0.8185 1.0 70 0.3369 0.7449
0.2899 2.0 140 0.2740 0.7919

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.12.0+cu113
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train Neha2608/xlm-roberta-base-finetuned-panx-it