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XLMR-ENIS-finetuned-stsb

This model is a fine-tuned version of vesteinn/XLMR-ENIS on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5232
  • Pearson: 0.8915
  • Spearmanr: 0.8888

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: 5

Training results

Training Loss Epoch Step Validation Loss Pearson Spearmanr
No log 1.0 360 0.6330 0.8562 0.8570
1.2835 2.0 720 0.6368 0.8790 0.8781
0.4518 3.0 1080 0.5352 0.8883 0.8852
0.4518 4.0 1440 0.4881 0.8910 0.8885
0.288 5.0 1800 0.5232 0.8915 0.8888

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.0
  • Tokenizers 0.10.3
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Finetuned from

Dataset used to train vesteinn/XLMR-ENIS-finetuned-stsb

Evaluation results