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electricidad-small-finetuned-amazon-review-classification

This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9506
  • Accuracy: 0.5832

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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0258 1.0 6250 1.0209 0.5502
0.9668 2.0 12500 0.9960 0.565
0.953 3.0 18750 0.9802 0.5704
0.9201 4.0 25000 0.9831 0.567
0.902 5.0 31250 0.9814 0.5672

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.4
  • Tokenizers 0.11.6
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Dataset used to train mrm8488/electricidad-small-finetuned-amazon-review-classification

Space using mrm8488/electricidad-small-finetuned-amazon-review-classification

Evaluation results