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20231008-3-distilbert-base-multilingual-cased-new

This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Accuracy: 0.5585
  • Loss: 1.8969

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Accuracy Validation Loss
3.0355 1.82 200 0.3649 2.5361
2.5432 3.64 400 0.4264 2.4729
2.3986 5.45 600 0.4748 2.1543
2.2755 7.27 800 0.5533 1.9309
2.1743 9.09 1000 0.5165 2.1052
2.1152 10.91 1200 0.5307 2.0024
1.9368 12.73 1400 0.5820 1.7487
1.989 14.55 1600 0.5507 1.9093
1.8819 16.36 1800 0.5835 1.6382
1.8822 18.18 2000 0.5873 1.7373
1.8628 20.0 2200 0.5585 1.8969

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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