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xlm-roberta-base-finetuned-marc

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

  • Loss: 1.0276
  • Mae: 0.5310

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: 16
  • eval_batch_size: 16
  • 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 Mae
1.1582 1.0 308 1.0625 0.5221
1.0091 2.0 616 1.0276 0.5310

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train begar/xlm-roberta-base-finetuned-marc

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