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davanstrien
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cultural_heritage_metadata_accuracy_mnli

Text Classification
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PyTorch
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xlm-roberta
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text-embeddings-inference
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cultural_heritage_metadata_accuracy_mnli

This model is a fine-tuned version of xlm-roberta-base on the cultural_heritage_metadata_accuracy 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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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Dataset used to train davanstrien/cultural_heritage_metadata_accuracy_mnli