job-listing-filtering-model

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1992

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss
0.4639 1.55 50 0.4343
0.407 3.12 100 0.3589
0.3459 4.68 150 0.3110
0.2871 6.25 200 0.2604
0.1966 7.8 250 0.2004
0.0994 9.37 300 0.1766
0.0961 10.92 350 0.2007
0.0954 12.49 400 0.1716
0.0498 14.06 450 0.1642
0.0419 15.62 500 0.1811
0.0232 17.18 550 0.1872
0.0146 18.74 600 0.1789
0.0356 20.31 650 0.1984
0.0325 21.86 700 0.1845
0.0381 23.43 750 0.1994
0.0063 24.98 800 0.1992

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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