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distilbert-uncased-senti

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

  • Loss: 0.1285
  • Accuracy: 0.9679

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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 69 0.1238 0.9679
No log 2.0 138 0.1285 0.9679

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cpu
  • Datasets 3.0.1
  • Tokenizers 0.19.1
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