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xlm-roberta-base-finetuned-RQA-confirmation-PC

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

  • Loss: 0.7341

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: 3

Training results

Training Loss Epoch Step Validation Loss
1.0482 1.0 1227 2.3979
0.759 2.0 2454 0.7987
0.6076 3.0 3681 0.7341

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.3.1
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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