P3ps / distilbert-amazon-shoe-reviews-scaled

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: -4
Model's Last Updated: April 20 2023
text-classification

Introduction of distilbert-amazon-shoe-reviews-scaled

Model Details of distilbert-amazon-shoe-reviews-scaled

distilbert-amazon-shoe-reviews-scaled

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

  • Loss: 1.1836
  • Accuracy: 0.456
  • F1: [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ]
  • Precision: [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559]
  • Recall: [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239]
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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
1.3447 1.0 141 1.1836 0.456 [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ] [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559] [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239]
Framework versions
  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3

Runs of P3ps distilbert-amazon-shoe-reviews-scaled on huggingface.co

7
Total runs
0
24-hour runs
2
3-day runs
0
7-day runs
-4
30-day runs

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