distilbert-multilingual-sentiment

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

  • eval_loss: 1.3619
  • eval_accuracy: 0.7435
  • eval_runtime: 25.7389
  • eval_samples_per_second: 82.715
  • eval_steps_per_second: 5.206
  • epoch: 6.0
  • step: 6390

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: 0.0001
  • 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: 8

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.15.0
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